From 7864f68ad059a8bf33d4c70af337ba1fe1e020a5 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 13:47:55 -0300 Subject: [PATCH 01/90] Create projeto_final_paloma.md --- material /projeto_final_paloma.md | 1 + 1 file changed, 1 insertion(+) create mode 100644 material /projeto_final_paloma.md diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/material /projeto_final_paloma.md @@ -0,0 +1 @@ + From 115aa66f7ff487af17aa9ac9ffe7155b61151b60 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 13:48:14 -0300 Subject: [PATCH 02/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 36 +++++++++++++++++++++++++++++++ 1 file changed, 36 insertions(+) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 8b13789..e8d4441 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -1 +1,37 @@ +# Projeto Final de Análise de Dados +## Contexto +Este projeto consiste na análise de **[escolha o tema do seu projeto, por exemplo: dados educacionais do ENEM]**. + +## Etapas do projeto: +1. **Selecionar a Base de Dados** [Escolher e explorar a base de dados relevante ao tema.] +2. **Definir Objetivo e Perguntas** [Estabelecer o objetivo e formular perguntas-chave com base nas variáveis disponíveis.] +3. **Realizar Análise Exploratória** [Identificar correlações, padrões e outliers nos dados.] +4. **Gerar Base Final** [Limpar e estruturar os dados para a visualização.] +5. **Criar Visualizações no Tableau** [Desenvolver gráficos que sintetizem os principais insights.] +6. **Preparar Apresentação Final** [Apresentar o tema, dados e visualizações de forma clara e objetiva.] + +--- + +## Bases Escolhidas +- **Base 1**: [Nome da base de dados e fonte (por exemplo, Microdados do ENEM, INEP)] +- **Base 2**: [Nome da base de dados e fonte (opcional, caso use outra base complementar)] + +--- + +### Objetivo Geral: +Realizar uma análise dos dados com o objetivo de **[escreva o objetivo do seu projeto, por exemplo: identificar as variáveis que influenciam o desempenho dos alunos no ENEM]**. + +### As perguntas norteadoras deste projeto são: +1. **[Pergunta sobre o perfil dos dados]** - Quais são as principais características da base de dados selecionada? +2. **[Pergunta comparativa]** - Há diferenças de desempenho entre os grupos de interesse (ex.: escolas públicas vs. privadas)? +3. **[Pergunta relacional]** - Existe correlação entre fatores socioeconômicos e os resultados dos alunos? +4. **[Pergunta exploratória]** - Quais insights podem ser extraídos a partir dos padrões identificados nos dados? + +--- + +## Ferramentas Utilizadas +- **Python (Jupyter Notebook)**: Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc. +- **Tableau**: Para criar as visualizações finais e apresentar os insights gerados. +- **GitHub**: Para versionamento do projeto e documentação. +- **Google Colab** (opcional): Para execução de notebooks de forma colaborativa e em nuvem. From a97b491a8384a973919244ef3313ddd6c9132285 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 13:59:47 -0300 Subject: [PATCH 03/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index e8d4441..fc8e705 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -1,7 +1,9 @@ # Projeto Final de Análise de Dados +Paloma e Anne + ## Contexto -Este projeto consiste na análise de **[escolha o tema do seu projeto, por exemplo: dados educacionais do ENEM]**. +Este projeto consiste na análise de dados de desmatamento, CO2 e temperatura da água do mar do estado da Bahia nos últimos 5 anos. ## Etapas do projeto: 1. **Selecionar a Base de Dados** [Escolher e explorar a base de dados relevante ao tema.] @@ -20,17 +22,18 @@ Este projeto consiste na análise de **[escolha o tema do seu projeto, por exemp --- ### Objetivo Geral: -Realizar uma análise dos dados com o objetivo de **[escreva o objetivo do seu projeto, por exemplo: identificar as variáveis que influenciam o desempenho dos alunos no ENEM]**. +Realizar uma análise dos dados com o objetivo de identificar variáveis que influenciam o aumento da temperatura do Mar e CO2 na atmosfera com o aumento do desmatamento. ### As perguntas norteadoras deste projeto são: 1. **[Pergunta sobre o perfil dos dados]** - Quais são as principais características da base de dados selecionada? -2. **[Pergunta comparativa]** - Há diferenças de desempenho entre os grupos de interesse (ex.: escolas públicas vs. privadas)? -3. **[Pergunta relacional]** - Existe correlação entre fatores socioeconômicos e os resultados dos alunos? +2. **[Pergunta comparativa]** - Municípios com maiores dados +3. **[Pergunta relacional]** - Existe correlação entre os três dados e a pandemia 4. **[Pergunta exploratória]** - Quais insights podem ser extraídos a partir dos padrões identificados nos dados? --- ## Ferramentas Utilizadas +- **Banco de dados** - **Python (Jupyter Notebook)**: Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc. - **Tableau**: Para criar as visualizações finais e apresentar os insights gerados. - **GitHub**: Para versionamento do projeto e documentação. From 888b6e980d7c604d66c8fe25a12930ad487acb7d Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 14:06:59 -0300 Subject: [PATCH 04/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index fc8e705..8f65b6d 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -17,7 +17,7 @@ Este projeto consiste na análise de dados de desmatamento, CO2 e temperatura da ## Bases Escolhidas - **Base 1**: [Nome da base de dados e fonte (por exemplo, Microdados do ENEM, INEP)] -- **Base 2**: [Nome da base de dados e fonte (opcional, caso use outra base complementar)] +- **Base 2**: [[Nome da base de dados e fonte (opcional, caso use outra base complementar)] (http://www.goosbrasil.org/pirata/dados/) --- From d05e4a9a84ff69ccbe337ae4a88a6c0efaf4cd3d Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 14:08:46 -0300 Subject: [PATCH 05/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 8f65b6d..44bd145 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -16,8 +16,9 @@ Este projeto consiste na análise de dados de desmatamento, CO2 e temperatura da --- ## Bases Escolhidas -- **Base 1**: [Nome da base de dados e fonte (por exemplo, Microdados do ENEM, INEP)] -- **Base 2**: [[Nome da base de dados e fonte (opcional, caso use outra base complementar)] (http://www.goosbrasil.org/pirata/dados/) +- **Base 1**: [Mapviomas Alertas](https://plataforma.alerta.mapbiomas.org/downloads) +- **Base 2**: [GOOS Bóias Pirata](http://www.goosbrasil.org/pirata/dados/) +- **Base 3**: []() --- From a3076f17621a5a661e25612e2f32415f359176da Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 14:10:28 -0300 Subject: [PATCH 06/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 44bd145..3057fcb 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -16,8 +16,11 @@ Este projeto consiste na análise de dados de desmatamento, CO2 e temperatura da --- ## Bases Escolhidas -- **Base 1**: [Mapviomas Alertas](https://plataforma.alerta.mapbiomas.org/downloads) +- **Base 1**: [Mapviomas Alertas](https://plataforma.alerta.mapbiomas.org/downloads) +- - **Base 2**: [GOOS Bóias Pirata](http://www.goosbrasil.org/pirata/dados/) +- ![image](https://github.com/user-attachments/assets/7fbe99ae-cc0b-4c34-8d6c-09317daf9f32) + - **Base 3**: []() --- From 01c7644e6c2a5c2a5ca6af88339155fda3933326 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 14:11:42 -0300 Subject: [PATCH 07/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 3057fcb..7091eeb 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -16,11 +16,11 @@ Este projeto consiste na análise de dados de desmatamento, CO2 e temperatura da --- ## Bases Escolhidas -- **Base 1**: [Mapviomas Alertas](https://plataforma.alerta.mapbiomas.org/downloads) -- -- **Base 2**: [GOOS Bóias Pirata](http://www.goosbrasil.org/pirata/dados/) -- ![image](https://github.com/user-attachments/assets/7fbe99ae-cc0b-4c34-8d6c-09317daf9f32) +- **Base 1**: [MapBiomas Alertas](https://plataforma.alerta.mapbiomas.org/downloads) +![image](https://github.com/user-attachments/assets/c88130d7-548c-4b12-9af6-8c31a6f222d7) +- **Base 2**: [GOOS Bóias Pirata](http://www.goosbrasil.org/pirata/dados/) + ![image](https://github.com/user-attachments/assets/7fbe99ae-cc0b-4c34-8d6c-09317daf9f32) - **Base 3**: []() --- From 35326259cbbf42e0b8a74cd46207f91a7a01b755 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 14:13:19 -0300 Subject: [PATCH 08/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 7091eeb..5ec8ea6 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -17,10 +17,15 @@ Este projeto consiste na análise de dados de desmatamento, CO2 e temperatura da ## Bases Escolhidas - **Base 1**: [MapBiomas Alertas](https://plataforma.alerta.mapbiomas.org/downloads) + ![image](https://github.com/user-attachments/assets/c88130d7-548c-4b12-9af6-8c31a6f222d7) - **Base 2**: [GOOS Bóias Pirata](http://www.goosbrasil.org/pirata/dados/) - ![image](https://github.com/user-attachments/assets/7fbe99ae-cc0b-4c34-8d6c-09317daf9f32) +- +![image](https://github.com/user-attachments/assets/a700f335-0d5f-4609-802f-6a41423d983c) + +![image](https://github.com/user-attachments/assets/7fbe99ae-cc0b-4c34-8d6c-09317daf9f32) + - **Base 3**: []() --- From 35deaa770519cd4b0198cd16622532ea3a13068b Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 14:15:12 -0300 Subject: [PATCH 09/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 5ec8ea6..c1ba649 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -21,7 +21,7 @@ Este projeto consiste na análise de dados de desmatamento, CO2 e temperatura da ![image](https://github.com/user-attachments/assets/c88130d7-548c-4b12-9af6-8c31a6f222d7) - **Base 2**: [GOOS Bóias Pirata](http://www.goosbrasil.org/pirata/dados/) -- + ![image](https://github.com/user-attachments/assets/a700f335-0d5f-4609-802f-6a41423d983c) ![image](https://github.com/user-attachments/assets/7fbe99ae-cc0b-4c34-8d6c-09317daf9f32) From c9354ed0c3bd897ef338d5c0d4879d1d8f76136e Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 14:40:10 -0300 Subject: [PATCH 10/90] Add files via upload --- material/SEEG (1).csv | 2 + material/SEEG.csv | 6 + material/dados_pirata (1).csv | 1722 ++++++++++++++++++++++++++++++++ material/dados_pirata.csv | 1723 +++++++++++++++++++++++++++++++++ 4 files changed, 3453 insertions(+) create mode 100644 material/SEEG (1).csv create mode 100644 material/SEEG.csv create mode 100644 material/dados_pirata (1).csv create mode 100644 material/dados_pirata.csv diff --git a/material/SEEG (1).csv b/material/SEEG (1).csv new file mode 100644 index 0000000..fd5847c --- /dev/null +++ b/material/SEEG (1).csv @@ -0,0 +1,2 @@ +"Categoria","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022" +"Bahia","112321558.06983903","116344525.14624144","111544270.91460444","110348375.9670289","104640537.17794462","105353278.81903584","97288772.1758997","88378464.61159466","85333046.13490543","93156646.22072819","96442907.46125768","98869911.22698939","92233295.28745314","89305887.2663384","109606687.8868748","101317583.83806553","90766709.79678361","87827320.74976288","97520554.67044553","94934755.78000568","88142203.19078419","90887129.30260184","107748208.16639431","111080566.33644286","97511451.6613186","89070758.49689662","85246795.04174805","85839847.06537864","91503255.07942115","87007032.04793423","85944303.94700971","90741584.91712047","91368583.12293346" \ No newline at end of file diff --git a/material/SEEG.csv b/material/SEEG.csv new file mode 100644 index 0000000..d9d0217 --- /dev/null +++ b/material/SEEG.csv @@ -0,0 +1,6 @@ +"Categoria","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022" +"Mudança de Uso da Terra e 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+"Agropecuária","29865556.97715902","30882756.279189464","31425904.784129567","26390834.524839938","26297665.73065533","26244881.07116397","24790853.41524182","25213297.803048115","23885613.114951733","24243719.74099137","25416156.23922249","25982251.04348274","25579084.25077972","26447163.078730755","27441533.02246226","27438089.543486197","28018074.69423572","28794261.54159831","28249433.66314639","26910753.905800138","27707352.752843495","27472531.809697848","25616658.675493445","27110298.05359962","27378115.258661687","26712448.43711987","25779258.833057676","25316223.686748646","25456882.314002324","25958576.08733604","25526194.63361384","29308203.213708177","30537872.103919562" +"Energia","7322816.918387413","8316641.954342842","8911062.072481155","8622408.956384659","8151673.678167343","8498112.287921667","9805011.72663641","9964585.136410445","10257332.096279979","10301040.15277072","11576717.504646093","12379669.640540391","11958760.739672244","12063702.770975113","13101120.039229214","13602984.925346892","13969766.545484275","16713673.573259799","18468545.228706565","16480158.44809238","17826515.699712493","19028617.229065962","21033584.500042096","23967310.934275534","25331518.050770424","22893501.29600511","20634000.440413605","20415174.6004249","19905256.32909321","19230556.094973765","18974218.893519435","21100747.678756032","21126842.068129327" +"Resíduos","1713134.9508427102","1791116.9696543145","1845424.0915235886","1898731.3570573311","1973588.4006659957","2057645.497965094","2146370.0948086414","2260821.9385145986","2389596.0505962716","2530295.55362948","2676375.6746999337","2797583.4279200737","2911458.392606524","3082087.839567231","3227023.472183412","2863952.606739447","2920954.240987851","3375718.141749361","3351820.259756469","3532890.6387605234","3563012.6176661667","3440427.6921878215","3601161.0894936933","4389718.650861771","4566029.63278257","4763370.336790962","4848314.64109684","5045507.310678988","5093498.506505493","5217471.558182499","5348885.17896642","5690283.732905156","5653321.84053301" +"Processos 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12:00:00+00:00,37.342,37.416,37.367,27.53,27.33,-99999.0,27.31,27.43,267.79999,4.5 +1,2019-01-02 12:00:00+00:00,37.412,37.48,37.392,27.8,27.53,-99999.0,27.41,27.63,258.5,3.9 +2,2019-01-03 12:00:00+00:00,37.427,37.496,37.402,27.78,27.58,-99999.0,27.47,27.67,259.20001,3.7 +3,2019-01-04 12:00:00+00:00,37.44,37.51,37.421,27.77,27.67,-99999.0,27.57,27.75,230.10001,4.5 +4,2019-01-05 12:00:00+00:00,37.454,37.527,37.442,27.79,27.75,-99999.0,27.67,27.78,252.8,5.2 +5,2019-01-06 12:00:00+00:00,37.466,37.54,37.457,27.84,27.78,-99999.0,27.7,27.83,273.60001,4.9 +6,2019-01-07 12:00:00+00:00,37.479,37.556,37.472,27.79,27.78,-99999.0,27.76,27.8,283.70001,5.7 +7,2019-01-08 12:00:00+00:00,37.511,37.581,37.492,27.71,27.66,-99999.0,27.61,27.7,300.5,5.3 +8,2019-01-09 12:00:00+00:00,37.578,37.653,37.568,27.7,27.66,-99999.0,27.62,27.7,294.20001,5.2 +9,2019-01-10 12:00:00+00:00,37.587,37.662,37.58,27.7,27.65,-99999.0,27.62,27.69,286.39999,5.4 +10,2019-01-11 12:00:00+00:00,37.574,37.648,37.566,27.72,27.63,-99999.0,27.59,27.69,299.10001,4.2 +11,2019-01-12 12:00:00+00:00,37.577,37.649,37.565,27.79,27.67,-99999.0,27.62,27.74,293.10001,4.0 +12,2019-01-13 12:00:00+00:00,37.592,37.664,37.576,27.89,27.75,-99999.0,27.68,27.83,295.10001,4.2 +13,2019-01-14 12:00:00+00:00,37.604,37.675,37.588,27.97,27.77,-99999.0,27.74,27.85,293.10001,4.0 +14,2019-01-15 12:00:00+00:00,37.609,37.684,37.597,27.99,27.82,-99999.0,27.78,27.9,272.60001,4.2 +15,2019-01-16 12:00:00+00:00,37.6,37.682,37.598,27.98,27.87,-99999.0,27.83,27.94,268.79999,4.3 +16,2019-01-17 12:00:00+00:00,37.609,37.685,37.598,28.0,27.94,-99999.0,27.88,27.99,267.79999,4.5 +17,2019-01-18 12:00:00+00:00,37.609,37.686,37.598,28.09,27.96,-99999.0,27.89,28.04,278.89999,4.2 +18,2019-01-19 12:00:00+00:00,37.607,37.681,37.595,28.23,27.99,-99999.0,27.94,28.05,269.60001,3.7 +19,2019-01-20 12:00:00+00:00,37.608,37.686,37.599,28.12,28.04,-99999.0,27.98,28.09,255.0,4.0 +20,2019-01-21 12:00:00+00:00,37.601,37.683,37.601,28.09,28.07,-99999.0,28.04,28.09,268.20001,4.9 +21,2019-01-22 12:00:00+00:00,37.604,37.684,37.598,28.13,28.09,-99999.0,28.05,28.13,273.60001,4.9 +22,2019-01-23 12:00:00+00:00,37.596,37.682,37.601,28.19,28.14,-99999.0,28.11,28.17,271.39999,4.4 +23,2019-01-24 12:00:00+00:00,37.605,37.683,37.595,28.26,28.17,-99999.0,28.14,28.23,270.20001,4.5 +24,2019-01-25 12:00:00+00:00,37.606,37.678,37.598,28.46,28.22,-99999.0,28.2,28.3,286.20001,3.6 +25,2019-01-26 12:00:00+00:00,37.541,37.614,37.52,28.27,28.22,-99999.0,28.18,28.26,267.39999,5.1 +26,2019-01-27 12:00:00+00:00,37.556,37.638,37.549,28.23,28.21,-99999.0,28.18,28.23,275.20001,5.8 +27,2019-01-28 12:00:00+00:00,37.599,37.68,37.591,28.3,28.26,-99999.0,28.22,28.3,297.29999,5.3 +28,2019-01-29 12:00:00+00:00,37.54,37.617,37.531,28.34,28.2,-99999.0,28.19,28.29,304.60001,4.4 +29,2019-01-30 12:00:00+00:00,37.585,37.661,37.574,28.57,28.37,-99999.0,28.34,28.46,286.20001,3.6 +30,2019-01-31 12:00:00+00:00,37.608,37.679,37.589,28.66,28.48,-99999.0,28.43,28.58,274.10001,3.6 +31,2019-02-01 12:00:00+00:00,37.577,37.652,37.562,28.58,28.48,-99999.0,28.42,28.55,273.79999,4.5 +32,2019-02-02 12:00:00+00:00,37.576,37.656,37.568,28.64,28.55,-99999.0,28.51,28.61,266.89999,4.7 +33,2019-02-03 12:00:00+00:00,37.598,37.68,37.592,28.85,28.6,-99999.0,28.58,28.67,242.39999,3.4 +34,2019-02-04 12:00:00+00:00,37.618,37.707,37.618,28.77,28.71,-99999.0,28.66,28.77,174.39999,2.8 +35,2019-02-05 12:00:00+00:00,37.641,37.722,37.63,28.85,28.78,-99999.0,28.74,28.83,180.39999,2.7 +36,2019-02-06 12:00:00+00:00,37.65,37.729,37.639,28.98,28.79,-99999.0,28.76,28.87,180.39999,2.7 +37,2019-02-07 12:00:00+00:00,37.658,37.738,37.639,29.01,28.87,-99999.0,28.76,28.96,224.2,3.5 +38,2019-02-08 12:00:00+00:00,37.639,37.723,37.63,28.86,28.81,-99999.0,28.79,28.83,246.0,4.2 +39,2019-02-09 12:00:00+00:00,37.652,37.736,37.645,28.92,28.89,-99999.0,28.86,28.92,240.3,4.2 +40,2019-02-10 12:00:00+00:00,37.658,37.742,37.65,29.02,28.91,-99999.0,28.89,28.97,260.70001,4.1 +41,2019-02-11 12:00:00+00:00,37.652,37.727,37.63,29.14,28.92,-99999.0,28.88,28.96,272.60001,3.8 +42,2019-02-12 12:00:00+00:00,37.647,37.731,37.64,29.08,28.91,-99999.0,28.88,29.0,246.0,3.8 +43,2019-02-13 12:00:00+00:00,37.657,37.743,37.649,28.99,28.96,-99999.0,28.91,28.99,173.10001,3.0 +44,2019-02-14 12:00:00+00:00,37.626,37.72,37.629,28.95,28.95,-99999.0,28.93,28.96,144.7,3.3 +45,2019-02-15 12:00:00+00:00,37.565,37.649,37.557,29.03,28.99,-99999.0,28.94,29.03,111.0,1.7 +46,2019-02-16 12:00:00+00:00,37.573,37.66,37.566,29.06,29.04,-99999.0,29.01,29.06,184.60001,2.8 +47,2019-02-17 12:00:00+00:00,37.645,37.73,37.633,29.04,29.03,-99999.0,29.01,29.05,189.7,3.8 +48,2019-02-18 12:00:00+00:00,37.631,37.715,37.62,29.12,29.09,-99999.0,29.05,29.12,217.89999,3.6 +49,2019-02-19 12:00:00+00:00,37.615,37.701,37.612,29.41,29.12,-99999.0,29.11,29.18,212.3,2.4 +50,2019-02-20 12:00:00+00:00,37.582,37.678,37.592,29.51,29.2,-99999.0,29.13,29.33,197.2,2.4 +51,2019-02-21 12:00:00+00:00,37.549,37.658,37.601,29.78,29.29,-99999.0,29.18,29.4,279.70001,1.0 +52,2019-02-22 12:00:00+00:00,37.603,37.678,37.574,29.8,29.36,-99999.0,29.19,29.47,320.10001,3.1 +53,2019-02-23 12:00:00+00:00,37.571,37.657,37.539,30.04,29.46,-99999.0,29.25,29.61,342.29999,2.1 +54,2019-02-24 12:00:00+00:00,37.584,37.659,37.53,29.8,29.53,-99999.0,29.32,29.62,256.29999,2.5 +55,2019-02-25 12:00:00+00:00,37.556,37.639,37.53,30.18,29.59,-99999.0,29.38,29.77,225.39999,2.0 +56,2019-02-26 12:00:00+00:00,37.588,37.661,37.533,30.12,29.71,-99999.0,29.39,29.91,232.0,2.7 +57,2019-02-27 12:00:00+00:00,37.59,37.672,37.559,30.09,29.71,-99999.0,29.52,29.84,236.5,2.7 +58,2019-02-28 12:00:00+00:00,37.587,37.676,37.561,29.89,29.83,-99999.0,29.5,29.89,238.60001,4.8 +59,2019-03-01 12:00:00+00:00,37.595,37.684,37.595,29.86,29.81,-99999.0,29.58,29.86,251.2,4.6 +60,2019-03-02 12:00:00+00:00,37.615,37.704,37.627,29.78,29.71,-99999.0,29.6,29.75,280.39999,4.8 +61,2019-03-03 12:00:00+00:00,37.577,37.666,37.572,29.66,29.64,-99999.0,29.6,29.67,276.60001,5.2 +62,2019-03-04 12:00:00+00:00,37.546,37.637,37.545,29.59,29.6,-99999.0,29.6,29.6,255.89999,4.8 +63,2019-03-05 12:00:00+00:00,37.565,37.649,37.557,29.61,29.5,-99999.0,29.49,29.53,293.10001,4.0 +64,2019-03-06 12:00:00+00:00,37.582,37.662,37.568,29.54,29.45,-99999.0,29.43,29.51,303.10001,4.2 +65,2019-03-07 12:00:00+00:00,37.594,37.68,37.586,29.52,29.49,-99999.0,29.46,29.52,298.60001,4.5 +66,2019-03-08 12:00:00+00:00,37.582,37.669,37.574,29.5,29.48,-99999.0,29.45,29.51,253.8,4.6 +67,2019-03-09 12:00:00+00:00,37.595,37.679,37.584,29.82,29.46,-99999.0,29.45,29.5,264.39999,2.8 +68,2019-03-10 12:00:00+00:00,37.626,37.706,37.61,30.0,29.55,-99999.0,29.52,29.61,301.0,2.7 +69,2019-03-11 12:00:00+00:00,37.655,37.741,37.642,29.72,29.64,-99999.0,29.59,29.7,238.39999,3.2 +70,2019-03-12 12:00:00+00:00,37.654,37.739,37.642,29.86,29.63,-99999.0,29.6,29.66,232.0,2.7 +71,2019-03-13 12:00:00+00:00,37.649,37.738,37.64,29.88,29.65,-99999.0,29.6,29.74,241.89999,3.0 +72,2019-03-14 12:00:00+00:00,37.668,37.756,37.658,29.76,29.69,-99999.0,29.64,29.74,240.0,4.0 +73,2019-03-15 12:00:00+00:00,37.678,37.766,37.668,29.73,29.66,-99999.0,29.63,29.7,217.7,3.2 +74,2019-03-16 12:00:00+00:00,37.69,37.767,37.671,29.9,29.62,-99999.0,29.6,29.66,222.0,2.2 +75,2019-03-17 12:00:00+00:00,37.679,37.776,37.675,30.0,29.71,-99999.0,29.64,29.83,216.3,1.9 +76,2019-03-18 12:00:00+00:00,37.704,37.79,37.682,29.99,29.83,-99999.0,29.71,29.9,142.0,1.9 +77,2019-03-19 12:00:00+00:00,37.71,37.798,37.688,29.96,29.87,-99999.0,29.74,29.91,125.0,2.6 +78,2019-03-20 12:00:00+00:00,37.709,37.801,37.703,29.86,29.85,-99999.0,29.82,29.87,152.2,3.2 +79,2019-03-21 12:00:00+00:00,37.658,37.783,37.7,29.79,29.8,-99999.0,29.79,29.81,114.0,2.9 +80,2019-03-22 12:00:00+00:00,37.676,37.767,37.677,30.08,29.78,-99999.0,29.78,29.81,336.0,1.9 +81,2019-03-23 12:00:00+00:00,37.579,37.755,37.668,29.72,29.73,-99999.0,29.73,29.74,277.60001,3.3 +82,2019-03-24 12:00:00+00:00,37.44,37.588,37.61,29.48,29.53,-99999.0,29.65,29.5,241.0,4.8 +83,2019-03-25 12:00:00+00:00,37.431,37.526,37.434,29.42,29.43,-99999.0,29.44,29.43,240.10001,5.9 +84,2019-03-26 12:00:00+00:00,37.487,37.577,37.481,29.45,29.45,-99999.0,29.43,29.46,205.10001,4.2 +85,2019-03-27 12:00:00+00:00,37.509,37.601,37.507,29.51,29.47,-99999.0,29.44,29.51,201.0,3.3 +86,2019-03-28 12:00:00+00:00,37.513,37.616,37.527,29.91,29.52,-99999.0,29.5,29.55,201.0,0.9 +87,2019-03-29 12:00:00+00:00,37.473,37.561,37.462,29.77,29.53,-99999.0,29.49,29.58,11.5,2.0 +88,2019-03-30 12:00:00+00:00,37.496,37.578,37.484,29.67,29.5,-99999.0,29.49,29.55,349.0,2.9 +89,2019-03-31 12:00:00+00:00,37.502,37.587,37.494,29.75,29.51,-99999.0,29.49,29.56,345.5,2.7 +90,2019-04-01 12:00:00+00:00,37.484,37.568,37.475,29.52,29.47,-99999.0,29.45,29.52,356.60001,3.6 +91,2019-04-02 12:00:00+00:00,37.477,37.568,37.474,29.49,29.45,-99999.0,29.43,29.47,26.7,3.1 +92,2019-04-03 12:00:00+00:00,37.487,37.578,37.487,29.61,29.4,-99999.0,29.39,29.43,29.1,1.3 +93,2019-04-04 12:00:00+00:00,37.498,37.601,37.507,29.68,29.41,-99999.0,29.39,29.45,260.0,1.1 +94,2019-04-05 12:00:00+00:00,37.529,37.613,37.52,29.55,29.43,-99999.0,29.41,29.46,269.20001,3.3 +95,2019-04-06 12:00:00+00:00,37.582,37.678,37.588,29.44,29.42,-99999.0,29.41,29.44,249.0,4.0 +96,2019-04-07 12:00:00+00:00,37.597,37.694,37.6,29.43,29.39,-99999.0,29.37,29.42,255.5,3.9 +97,2019-04-08 12:00:00+00:00,37.599,37.691,37.593,29.42,29.39,-99999.0,29.36,29.43,263.39999,3.6 +98,2019-04-09 12:00:00+00:00,37.617,37.705,37.607,29.49,29.4,-99999.0,29.39,29.44,242.2,3.2 +99,2019-04-10 12:00:00+00:00,37.609,37.698,37.603,29.52,29.39,-99999.0,29.37,29.45,226.0,2.6 +100,2019-04-11 12:00:00+00:00,37.6,37.693,37.602,29.43,29.38,-99999.0,29.37,29.41,236.5,1.5 +101,2019-04-12 12:00:00+00:00,37.566,37.653,37.561,29.62,29.36,-99999.0,29.35,29.39,212.3,1.0 +102,2019-04-13 12:00:00+00:00,37.568,37.654,37.556,29.53,29.42,-99999.0,29.37,29.48,239.7,2.1 +103,2019-04-14 12:00:00+00:00,37.579,37.669,37.574,29.51,29.44,-99999.0,29.43,29.49,255.5,2.7 +104,2019-04-15 12:00:00+00:00,37.617,37.712,37.615,29.59,29.49,-99999.0,29.46,29.52,285.29999,3.1 +105,2019-04-16 12:00:00+00:00,37.608,37.701,37.605,29.5,29.45,-99999.0,29.43,29.48,288.5,3.5 +106,2019-04-17 12:00:00+00:00,37.589,37.685,37.595,29.49,29.45,-99999.0,29.44,29.47,237.2,2.9 +107,2019-04-18 12:00:00+00:00,37.548,37.655,37.569,29.39,29.4,-99999.0,29.4,29.4,227.60001,2.8 +108,2019-04-19 12:00:00+00:00,37.545,37.645,37.551,29.32,29.33,-99999.0,29.33,29.34,216.60001,3.9 +109,2019-04-20 12:00:00+00:00,37.543,37.652,37.566,29.32,29.31,-99999.0,29.31,29.32,242.39999,3.4 +110,2019-04-21 12:00:00+00:00,37.579,37.667,37.578,29.49,29.32,-99999.0,29.32,29.36,180.0,2.2 +111,2019-04-22 12:00:00+00:00,37.569,37.659,37.564,29.41,29.33,-99999.0,29.31,29.38,250.39999,2.9 +112,2019-04-23 12:00:00+00:00,37.612,37.709,37.615,29.41,29.41,-99999.0,29.4,29.42,271.39999,4.4 +113,2019-04-24 12:00:00+00:00,37.601,37.697,37.602,29.34,29.35,-99999.0,29.35,29.36,301.0,5.0 +114,2019-04-25 12:00:00+00:00,37.569,37.665,37.563,29.28,29.28,-99999.0,29.26,29.29,289.39999,5.1 +115,2019-04-26 12:00:00+00:00,37.577,37.673,37.578,29.28,29.26,-99999.0,29.26,29.29,285.10001,4.3 +116,2019-04-27 12:00:00+00:00,37.552,37.651,37.556,29.28,29.21,-99999.0,29.21,29.24,293.5,3.5 +117,2019-04-28 12:00:00+00:00,37.547,37.64,37.543,29.36,29.18,-99999.0,29.18,29.2,227.60001,2.2 +118,2019-04-29 12:00:00+00:00,37.565,37.662,37.565,29.2,29.21,-99999.0,29.21,29.21,150.0,4.0 +119,2019-04-30 12:00:00+00:00,37.573,37.669,37.57,29.17,29.18,-99999.0,29.18,29.18,78.5,2.1 +120,2019-05-01 12:00:00+00:00,37.538,37.632,37.532,29.06,29.05,-99999.0,29.03,29.07,322.0,5.1 +121,2019-05-02 12:00:00+00:00,37.552,37.645,37.546,29.14,29.04,-99999.0,29.03,29.07,311.20001,3.1 +122,2019-05-03 12:00:00+00:00,37.532,37.627,37.529,29.01,28.99,-99999.0,28.98,29.01,312.0,4.1 +123,2019-05-04 12:00:00+00:00,37.511,37.604,37.505,29.01,28.9,-99999.0,28.9,28.93,301.29999,3.4 +124,2019-05-05 12:00:00+00:00,37.507,37.606,37.509,28.95,28.91,-99999.0,28.9,28.94,293.29999,3.7 +125,2019-05-06 12:00:00+00:00,37.488,37.597,37.512,28.88,28.9,-99999.0,28.91,28.9,257.29999,3.3 +126,2019-05-07 12:00:00+00:00,37.44,37.539,37.447,28.81,28.78,-99999.0,28.78,28.8,156.0,2.6 +127,2019-05-08 12:00:00+00:00,37.413,37.508,37.412,28.68,28.68,-99999.0,28.68,28.69,33.5,2.9 +128,2019-05-09 12:00:00+00:00,37.424,37.517,37.417,28.57,28.59,-99999.0,28.6,28.59,330.29999,6.1 +129,2019-05-10 12:00:00+00:00,37.387,37.481,37.381,28.41,28.42,-99999.0,28.43,28.43,315.0,5.7 +130,2019-05-11 12:00:00+00:00,37.291,37.382,37.283,28.19,28.19,-99999.0,28.19,28.2,292.60001,5.4 +131,2019-05-12 12:00:00+00:00,37.31,37.403,37.305,28.14,28.15,-99999.0,28.15,28.15,282.0,5.6 +132,2019-05-13 12:00:00+00:00,37.339,37.427,37.328,28.21,28.15,-99999.0,28.14,28.17,284.20001,3.8 +133,2019-05-14 12:00:00+00:00,37.363,37.451,37.352,28.37,28.16,-99999.0,28.15,28.19,319.29999,2.4 +134,2019-05-15 12:00:00+00:00,37.304,37.408,37.31,28.44,28.14,-99999.0,28.13,28.17,299.10001,1.3 +135,2019-05-16 12:00:00+00:00,37.329,37.418,37.319,28.23,28.17,-99999.0,28.16,28.21,284.70001,2.8 +136,2019-05-17 12:00:00+00:00,37.341,37.431,37.332,28.17,28.17,-99999.0,28.17,28.18,274.60001,2.8 +137,2019-05-18 12:00:00+00:00,37.308,37.421,37.324,28.09,28.12,-99999.0,28.13,28.12,277.39999,4.4 +138,2019-05-19 12:00:00+00:00,37.297,37.398,37.304,28.02,28.04,-99999.0,28.05,28.04,277.79999,5.1 +139,2019-05-20 12:00:00+00:00,37.321,37.415,37.314,28.08,28.07,-99999.0,28.05,28.08,181.0,3.5 +140,2019-05-21 12:00:00+00:00,37.297,37.432,37.346,28.1,28.13,-99999.0,28.13,28.13,210.5,2.0 +141,2019-05-22 12:00:00+00:00,37.211,37.343,37.285,27.99,27.92,-99999.0,27.97,27.9,47.6,1.6 +142,2019-05-23 12:00:00+00:00,37.218,37.329,37.277,27.88,27.89,-99999.0,27.95,27.87,332.20001,3.2 +143,2019-05-24 12:00:00+00:00,37.271,37.353,37.255,27.85,27.84,-99999.0,27.83,27.85,305.0,2.6 +144,2019-05-25 12:00:00+00:00,37.263,37.345,37.249,27.81,27.81,-99999.0,27.8,27.82,201.0,4.2 +145,2019-05-26 12:00:00+00:00,37.255,37.35,37.253,27.86,27.79,-99999.0,27.79,27.83,204.0,2.9 +146,2019-05-27 12:00:00+00:00,37.264,37.351,37.257,27.87,27.81,-99999.0,27.8,27.86,275.10001,2.3 +147,2019-05-28 12:00:00+00:00,37.281,37.362,37.269,27.79,27.8,-99999.0,27.81,27.81,277.0,4.8 +148,2019-05-29 12:00:00+00:00,37.337,37.416,37.313,27.94,27.92,-99999.0,27.89,27.94,263.5,4.2 +149,2019-05-30 12:00:00+00:00,37.291,37.373,37.274,27.85,27.79,-99999.0,27.79,27.82,260.0,2.7 +150,2019-05-31 12:00:00+00:00,37.313,37.393,37.294,27.82,27.83,-99999.0,27.81,27.84,233.2,4.7 +151,2019-06-01 12:00:00+00:00,37.333,37.415,37.317,27.83,27.84,-99999.0,27.85,27.85,208.60001,4.5 +152,2019-06-02 12:00:00+00:00,37.36,37.436,37.344,27.88,27.84,-99999.0,27.83,27.86,224.2,3.5 +153,2019-06-03 12:00:00+00:00,37.399,37.471,37.379,27.81,27.82,-99999.0,27.83,27.83,233.2,4.7 +154,2019-06-04 12:00:00+00:00,37.435,37.508,37.414,27.81,27.82,-99999.0,27.82,27.83,185.10001,4.3 +155,2019-06-05 12:00:00+00:00,37.495,37.571,37.472,27.85,27.87,-99999.0,27.87,27.87,3.4,6.6 +156,2019-06-06 12:00:00+00:00,37.483,37.557,37.459,27.67,27.69,-99999.0,27.69,27.69,337.60001,7.2 +157,2019-06-07 12:00:00+00:00,37.427,37.497,37.401,27.37,27.39,-99999.0,27.39,27.39,316.10001,7.7 +158,2019-06-08 12:00:00+00:00,37.44,37.506,37.409,27.26,27.28,-99999.0,27.28,27.28,284.29999,5.0 +159,2019-06-09 12:00:00+00:00,37.401,37.472,37.379,27.15,27.16,-99999.0,27.17,27.17,279.70001,3.1 +160,2019-06-10 12:00:00+00:00,37.347,37.415,37.32,26.99,27.0,-99999.0,27.01,27.0,304.0,7.6 +161,2019-06-11 12:00:00+00:00,37.329,37.398,37.304,26.89,26.9,-99999.0,26.91,26.9,287.79999,7.5 +162,2019-06-12 12:00:00+00:00,37.341,37.409,37.314,26.86,26.87,-99999.0,26.88,26.88,286.0,6.6 +163,2019-06-13 12:00:00+00:00,37.32,37.386,37.293,26.73,26.74,-99999.0,26.75,26.74,287.5,7.0 +164,2019-06-14 12:00:00+00:00,37.332,37.394,37.299,26.69,26.7,-99999.0,26.7,26.71,292.39999,5.9 +165,2019-06-15 12:00:00+00:00,37.321,37.379,37.286,26.59,26.6,-99999.0,26.61,26.6,293.60001,6.3 +166,2019-06-16 12:00:00+00:00,37.344,37.402,37.308,26.57,26.59,-99999.0,26.59,26.59,307.70001,6.0 +167,2019-06-17 12:00:00+00:00,37.375,37.433,37.342,26.57,26.59,-99999.0,26.59,26.59,316.20001,5.4 +168,2019-06-18 12:00:00+00:00,37.37,37.426,37.335,26.51,26.52,-99999.0,26.53,26.53,316.79999,5.0 +169,2019-06-19 12:00:00+00:00,37.387,37.445,37.354,26.5,26.51,-99999.0,26.51,26.51,304.20001,5.1 +170,2019-06-20 12:00:00+00:00,37.372,37.427,37.336,26.49,26.49,-99999.0,26.49,26.5,291.0,4.4 +171,2019-06-21 12:00:00+00:00,37.366,37.423,37.333,26.46,26.48,-99999.0,26.49,26.48,323.0,5.5 +172,2019-06-22 12:00:00+00:00,37.354,37.412,37.323,26.41,26.43,-99999.0,26.43,26.43,308.70001,7.0 +173,2019-06-23 12:00:00+00:00,37.353,37.409,37.319,26.34,26.36,-99999.0,26.36,26.36,298.79999,6.4 +174,2019-06-24 12:00:00+00:00,37.37,37.427,37.338,26.42,26.33,-99999.0,26.33,26.36,277.0,2.6 +175,2019-06-25 12:00:00+00:00,37.342,37.397,37.31,26.28,26.28,-99999.0,26.27,26.29,257.29999,3.3 +176,2019-06-26 12:00:00+00:00,37.341,37.398,37.312,26.27,26.26,-99999.0,26.26,26.27,270.0,4.1 +177,2019-06-27 12:00:00+00:00,37.336,37.39,37.298,26.24,26.25,-99999.0,26.25,26.25,268.20001,4.9 +178,2019-06-28 12:00:00+00:00,37.352,37.405,37.313,26.23,26.25,-99999.0,26.26,26.25,296.39999,6.1 +179,2019-06-29 12:00:00+00:00,37.382,37.437,37.342,26.26,26.27,-99999.0,26.28,26.28,295.79999,6.9 +180,2019-06-30 12:00:00+00:00,37.475,37.528,37.431,26.43,26.44,-99999.0,26.45,26.45,288.10001,5.8 +181,2019-07-01 12:00:00+00:00,37.533,37.587,37.489,26.54,26.56,-99999.0,26.56,26.56,266.60001,5.3 +182,2019-07-02 12:00:00+00:00,37.539,37.593,37.494,26.56,26.56,-99999.0,26.56,26.57,222.0,4.1 +183,2019-07-03 12:00:00+00:00,37.542,37.595,37.497,26.54,26.55,-99999.0,26.55,26.55,212.3,4.5 +184,2019-07-04 12:00:00+00:00,37.54,37.595,37.496,26.52,26.53,-99999.0,26.54,26.54,207.7,5.0 +185,2019-07-05 12:00:00+00:00,37.55,37.608,37.509,26.57,26.58,-99999.0,26.58,26.58,204.0,5.5 +186,2019-07-06 12:00:00+00:00,37.531,37.604,37.512,26.59,26.6,-99999.0,26.59,26.61,180.8,3.1 +187,2019-07-07 12:00:00+00:00,37.537,37.597,37.501,26.51,26.53,-99999.0,26.54,26.53,358.60001,7.8 +188,2019-07-08 12:00:00+00:00,37.535,37.596,37.496,26.37,26.39,-99999.0,26.4,26.39,346.20001,8.0 +189,2019-07-09 12:00:00+00:00,37.51,37.563,37.467,26.2,26.22,-99999.0,26.23,26.22,324.29999,6.0 +190,2019-07-10 12:00:00+00:00,37.471,37.518,37.421,26.02,26.04,-99999.0,26.05,26.04,317.60001,6.4 +191,2019-07-11 12:00:00+00:00,37.442,37.489,37.393,25.91,25.93,-99999.0,25.93,25.93,287.39999,4.7 +192,2019-07-12 12:00:00+00:00,37.436,37.481,37.386,25.9,25.89,-99999.0,25.89,25.91,283.60001,3.5 +193,2019-07-13 12:00:00+00:00,37.419,37.467,37.372,25.89,25.84,-99999.0,25.84,25.86,265.60001,3.2 +194,2019-07-14 12:00:00+00:00,37.42,37.464,37.369,25.88,25.85,-99999.0,25.84,25.87,235.39999,3.5 +195,2019-07-15 12:00:00+00:00,37.484,37.526,37.423,26.08,26.03,-99999.0,26.0,26.06,203.5,3.5 +196,2019-07-16 12:00:00+00:00,37.46,37.507,37.407,25.92,25.94,-99999.0,25.93,25.94,188.3,4.7 +197,2019-07-17 12:00:00+00:00,37.455,37.504,37.408,25.84,25.86,-99999.0,25.87,25.86,18.9,4.0 +198,2019-07-18 12:00:00+00:00,37.423,37.475,37.381,25.67,25.69,-99999.0,25.7,25.69,340.60001,7.5 +199,2019-07-19 12:00:00+00:00,37.427,37.477,37.381,25.56,25.59,-99999.0,25.6,25.59,320.20001,8.1 +200,2019-07-20 12:00:00+00:00,37.451,37.506,37.412,25.5,25.52,-99999.0,25.53,25.52,301.89999,8.2 +201,2019-07-21 12:00:00+00:00,37.387,37.431,37.338,25.21,25.23,-99999.0,25.24,25.23,298.60001,8.6 +202,2019-07-22 12:00:00+00:00,37.393,37.436,37.342,25.15,25.17,-99999.0,25.18,25.17,294.89999,8.2 +203,2019-07-23 12:00:00+00:00,37.38,37.424,37.332,25.06,25.08,-99999.0,25.09,25.08,286.60001,7.4 +204,2019-07-24 12:00:00+00:00,37.341,37.382,37.291,24.9,24.92,-99999.0,24.93,24.92,285.60001,7.6 +205,2019-07-25 12:00:00+00:00,37.343,37.377,37.286,24.87,24.89,-99999.0,24.89,24.89,282.0,5.6 +206,2019-07-26 12:00:00+00:00,37.345,37.38,37.288,24.85,24.87,-99999.0,24.88,24.87,301.79999,6.2 +207,2019-07-27 12:00:00+00:00,37.408,37.443,37.352,25.0,25.01,-99999.0,25.01,25.02,306.79999,5.8 +208,2019-07-28 12:00:00+00:00,37.401,37.437,37.346,24.94,24.96,-99999.0,24.97,24.96,298.39999,6.6 +209,2019-07-29 12:00:00+00:00,37.387,37.42,37.329,24.87,24.89,-99999.0,24.89,24.89,297.0,5.5 +210,2019-07-30 12:00:00+00:00,37.361,37.395,37.305,24.8,24.81,-99999.0,24.81,24.82,289.5,5.6 +211,2019-07-31 12:00:00+00:00,37.349,37.383,37.293,24.87,24.78,-99999.0,24.77,24.82,227.60001,2.8 +212,2019-08-01 12:00:00+00:00,37.356,37.389,37.298,24.91,24.82,-99999.0,24.8,24.86,309.39999,2.5 +213,2019-08-02 12:00:00+00:00,37.348,37.381,37.295,24.82,24.81,-99999.0,24.79,24.83,271.39999,4.4 +214,2019-08-03 12:00:00+00:00,37.347,37.381,37.291,24.81,24.8,-99999.0,24.78,24.82,246.0,5.1 +215,2019-08-04 12:00:00+00:00,37.323,37.375,37.287,24.78,24.79,-99999.0,24.8,24.8,225.39999,2.0 +216,2019-08-05 12:00:00+00:00,37.343,37.387,37.292,24.78,24.79,-99999.0,24.8,24.8,295.60001,5.4 +217,2019-08-06 12:00:00+00:00,37.335,37.397,37.286,24.73,24.75,-99999.0,24.76,24.75,301.89999,7.5 +218,2019-08-07 12:00:00+00:00,37.323,37.386,37.273,24.67,24.69,-99999.0,24.7,24.69,308.20001,8.2 +219,2019-08-08 12:00:00+00:00,37.289,37.348,37.236,24.59,24.6,-99999.0,24.6,24.6,284.10001,6.0 +220,2019-08-09 12:00:00+00:00,37.248,37.304,37.193,24.47,24.49,-99999.0,24.49,24.49,281.29999,6.0 +221,2019-08-10 12:00:00+00:00,37.236,37.293,37.181,24.43,24.44,-99999.0,24.44,24.45,266.60001,5.3 +222,2019-08-11 12:00:00+00:00,37.243,37.3,37.187,24.44,24.44,-99999.0,24.43,24.45,259.0,5.5 +223,2019-08-12 12:00:00+00:00,37.263,37.32,37.208,24.49,24.49,-99999.0,24.48,24.5,285.79999,4.8 +224,2019-08-13 12:00:00+00:00,37.238,37.296,37.184,24.47,24.38,-99999.0,24.38,24.43,263.39999,3.6 +225,2019-08-14 12:00:00+00:00,37.206,37.291,37.18,24.51,24.42,-99999.0,24.38,24.43,254.10001,1.7 +226,2019-08-15 12:00:00+00:00,37.207,37.275,37.157,24.29,24.3,-99999.0,24.31,24.3,330.0,7.7 +227,2019-08-16 12:00:00+00:00,37.199,37.28,37.15,24.19,24.21,-99999.0,24.22,24.21,322.70001,7.8 +228,2019-08-17 12:00:00+00:00,37.204,37.28,37.148,24.17,24.19,-99999.0,24.19,24.19,293.70001,6.0 +229,2019-08-18 12:00:00+00:00,37.219,37.296,37.164,24.18,24.2,-99999.0,24.2,24.2,266.89999,4.7 +230,2019-08-19 12:00:00+00:00,37.238,37.313,37.18,24.29,24.25,-99999.0,24.23,24.29,209.8,3.9 +231,2019-08-20 12:00:00+00:00,37.227,37.303,37.17,24.39,24.32,-99999.0,24.28,24.37,238.89999,3.4 +232,2019-08-21 12:00:00+00:00,37.227,37.302,37.169,24.46,24.35,-99999.0,24.33,24.4,197.2,2.4 +233,2019-08-22 12:00:00+00:00,37.227,37.303,37.167,24.39,24.38,-99999.0,24.36,24.4,16.9,4.2 +234,2019-08-23 12:00:00+00:00,37.21,37.285,37.154,24.31,24.32,-99999.0,24.31,24.33,336.0,4.6 +235,2019-08-24 12:00:00+00:00,37.185,37.256,37.124,24.33,24.22,-99999.0,24.22,24.25,293.70001,3.2 +236,2019-08-25 12:00:00+00:00,37.23,37.304,37.17,24.39,24.33,-99999.0,24.33,24.37,317.60001,3.4 +237,2019-08-26 12:00:00+00:00,37.24,37.316,37.182,24.36,24.35,-99999.0,24.35,24.37,322.0,4.3 +238,2019-08-27 12:00:00+00:00,37.261,37.34,37.204,24.37,24.39,-99999.0,24.38,24.39,331.89999,5.7 +239,2019-08-28 12:00:00+00:00,37.288,37.37,37.234,24.45,24.46,-99999.0,24.46,24.47,318.39999,4.8 +240,2019-08-29 12:00:00+00:00,37.355,37.437,37.297,24.64,24.64,-99999.0,24.63,24.65,300.20001,4.6 +241,2019-08-30 12:00:00+00:00,37.364,37.447,37.307,24.66,24.68,-99999.0,24.67,24.68,285.29999,5.8 +242,2019-08-31 12:00:00+00:00,37.376,37.459,37.321,24.71,24.72,-99999.0,24.71,24.72,266.29999,5.9 +243,2019-09-01 12:00:00+00:00,37.372,37.457,37.318,24.71,24.72,-99999.0,24.71,24.73,256.5,5.6 +244,2019-09-02 12:00:00+00:00,37.364,37.448,37.31,24.74,24.71,-99999.0,24.69,24.75,251.2,4.6 +245,2019-09-03 12:00:00+00:00,37.363,37.448,37.308,24.72,24.73,-99999.0,24.71,24.74,252.60001,5.4 +246,2019-09-04 12:00:00+00:00,37.357,37.444,37.308,24.73,24.72,-99999.0,24.71,24.74,258.79999,4.7 +247,2019-09-05 12:00:00+00:00,37.325,37.417,37.281,24.84,24.66,-99999.0,24.66,24.69,278.5,2.9 +248,2019-09-06 12:00:00+00:00,37.308,37.395,37.256,24.62,24.62,-99999.0,24.61,24.63,325.5,5.6 +249,2019-09-07 12:00:00+00:00,37.253,37.348,37.2,24.38,24.41,-99999.0,24.42,24.4,311.70001,6.9 +250,2019-09-08 12:00:00+00:00,37.244,37.346,37.19,24.33,24.35,-99999.0,24.35,24.35,299.79999,6.5 +251,2019-09-09 12:00:00+00:00,37.262,37.367,37.21,24.36,24.38,-99999.0,24.38,24.38,285.29999,5.8 +252,2019-09-10 12:00:00+00:00,37.263,37.368,37.207,24.36,24.37,-99999.0,24.36,24.38,275.5,5.4 +253,2019-09-11 12:00:00+00:00,37.269,37.376,37.216,24.38,24.39,-99999.0,24.39,24.4,266.60001,5.3 +254,2019-09-12 12:00:00+00:00,37.258,37.366,37.208,24.44,24.41,-99999.0,24.38,24.44,253.10001,5.0 +255,2019-09-13 12:00:00+00:00,37.253,37.36,37.201,24.47,24.42,-99999.0,24.39,24.46,251.39999,4.4 +256,2019-09-14 12:00:00+00:00,37.252,37.358,37.198,24.66,24.45,-99999.0,24.43,24.5,281.5,3.6 +257,2019-09-15 12:00:00+00:00,37.258,37.363,37.197,24.68,24.54,-99999.0,24.45,24.63,296.20001,3.3 +258,2019-09-16 12:00:00+00:00,37.252,37.361,37.2,24.6,24.52,-99999.0,24.49,24.58,283.39999,4.5 +259,2019-09-17 12:00:00+00:00,37.253,37.361,37.198,24.55,24.53,-99999.0,24.49,24.56,253.10001,5.0 +260,2019-09-18 12:00:00+00:00,37.262,37.373,37.21,24.57,24.58,-99999.0,24.56,24.59,233.0,5.5 +261,2019-09-19 12:00:00+00:00,37.291,37.403,37.239,24.64,24.65,-99999.0,24.66,24.66,248.0,5.9 +262,2019-09-20 12:00:00+00:00,37.357,37.471,37.304,24.89,24.83,-99999.0,24.82,24.86,251.0,4.8 +263,2019-09-21 12:00:00+00:00,37.334,37.447,37.283,24.71,24.72,-99999.0,24.72,24.73,259.5,5.3 +264,2019-09-22 12:00:00+00:00,37.324,37.441,37.275,24.75,24.71,-99999.0,24.68,24.75,259.39999,4.5 +265,2019-09-23 12:00:00+00:00,37.293,37.417,37.247,25.02,24.7,-99999.0,24.64,24.73,317.60001,2.8 +266,2019-09-24 12:00:00+00:00,37.278,37.393,37.23,24.52,24.54,-99999.0,24.55,24.54,327.89999,8.5 +267,2019-09-25 12:00:00+00:00,37.263,37.377,37.215,24.44,24.46,-99999.0,24.46,24.46,306.89999,6.3 +268,2019-09-26 12:00:00+00:00,37.25,37.367,37.203,24.5,24.46,-99999.0,24.43,24.5,277.0,4.8 +269,2019-09-27 12:00:00+00:00,37.255,37.371,37.205,24.5,24.5,-99999.0,24.47,24.51,218.3,4.9 +270,2019-09-28 12:00:00+00:00,37.261,37.377,37.212,24.77,24.52,-99999.0,24.52,24.61,171.3,2.5 +271,2019-09-29 12:00:00+00:00,37.246,37.379,37.211,25.16,24.59,-99999.0,24.54,24.77,306.89999,2.3 +272,2019-09-30 12:00:00+00:00,37.263,37.386,37.214,24.9,24.72,-99999.0,24.57,24.89,317.60001,4.6 +273,2019-10-01 12:00:00+00:00,37.322,37.443,37.273,24.81,24.81,-99999.0,24.76,24.83,333.5,4.8 +274,2019-10-02 12:00:00+00:00,37.293,37.422,37.26,24.73,24.75,-99999.0,24.75,24.75,265.29999,4.4 +275,2019-10-03 12:00:00+00:00,37.359,37.481,37.311,24.83,24.85,-99999.0,24.85,24.85,256.89999,5.4 +276,2019-10-04 12:00:00+00:00,37.374,37.504,37.334,24.91,24.92,-99999.0,24.93,24.93,278.20001,6.5 +277,2019-10-05 12:00:00+00:00,37.389,37.515,37.343,24.95,24.97,-99999.0,24.98,24.97,276.0,6.1 +278,2019-10-06 12:00:00+00:00,37.396,37.524,37.352,24.99,25.0,-99999.0,25.0,25.0,264.39999,5.8 +279,2019-10-07 12:00:00+00:00,37.403,37.531,37.359,25.09,25.07,-99999.0,25.04,25.1,257.79999,5.0 +280,2019-10-08 12:00:00+00:00,37.408,37.536,37.363,25.18,25.18,-99999.0,25.12,25.19,254.8,5.4 +281,2019-10-09 12:00:00+00:00,37.406,37.535,37.36,25.29,25.26,-99999.0,25.21,25.3,255.89999,4.8 +282,2019-10-10 12:00:00+00:00,37.403,37.533,37.358,25.35,25.32,-99999.0,25.28,25.36,267.79999,4.5 +283,2019-10-11 12:00:00+00:00,37.403,37.534,37.36,25.34,25.32,-99999.0,25.29,25.35,282.0,5.6 +284,2019-10-12 12:00:00+00:00,37.407,37.539,37.364,25.35,25.31,-99999.0,25.3,25.35,281.5,5.3 +285,2019-10-13 12:00:00+00:00,37.404,37.537,37.362,25.33,25.35,-99999.0,25.34,25.35,275.20001,5.8 +286,2019-10-14 12:00:00+00:00,37.403,37.538,37.361,25.37,25.37,-99999.0,25.36,25.39,260.0,5.9 +287,2019-10-15 12:00:00+00:00,37.4,37.534,37.358,25.48,25.43,-99999.0,25.42,25.47,261.89999,4.5 +288,2019-10-16 12:00:00+00:00,37.4,37.536,37.36,25.5,25.47,-99999.0,25.45,25.51,286.10001,5.1 +289,2019-10-17 12:00:00+00:00,37.404,37.53,37.356,25.65,25.5,-99999.0,25.5,25.56,284.70001,4.0 +290,2019-10-18 12:00:00+00:00,37.4,37.534,37.357,25.73,25.58,-99999.0,25.56,25.63,270.79999,3.1 +291,2019-10-19 12:00:00+00:00,37.35,37.487,37.311,25.85,25.68,-99999.0,25.65,25.77,182.60001,2.9 +292,2019-10-20 12:00:00+00:00,37.334,37.476,37.299,25.87,25.85,-99999.0,25.72,25.88,129.39999,4.2 +293,2019-10-21 12:00:00+00:00,37.352,37.489,37.311,25.94,25.81,-99999.0,25.79,25.86,6.3,3.0 +294,2019-10-22 12:00:00+00:00,37.351,37.492,37.308,25.84,25.84,-99999.0,25.8,25.85,183.89999,4.0 +295,2019-10-23 12:00:00+00:00,37.355,37.501,37.319,25.8,25.78,-99999.0,25.76,25.81,173.5,4.2 +296,2019-10-24 12:00:00+00:00,37.105,37.511,37.332,25.76,25.74,-99999.0,25.64,25.77,189.7,1.7 +297,2019-10-25 12:00:00+00:00,-9999.0,-9999.0,-9999.0,-9999.0,-9999.0,-99999.0,-9999.0,-9999.0,-9999.0,-99999.0 +298,2019-10-26 12:00:00+00:00,-9999.0,-9999.0,-9999.0,-9999.0,-9999.0,-99999.0,-9999.0,-9999.0,-9999.0,-99999.0 +299,2019-10-27 12:00:00+00:00,37.316,37.314,37.38,26.01,25.78,-99999.0,25.57,25.88,269.20001,3.2 +300,2019-10-28 12:00:00+00:00,37.338,37.328,37.384,25.98,25.88,-99999.0,25.51,25.96,286.10001,5.1 +301,2019-10-29 12:00:00+00:00,37.365,37.344,37.386,25.96,25.93,-99999.0,25.68,25.95,278.5,5.3 +302,2019-10-30 12:00:00+00:00,37.391,37.366,37.398,25.99,25.96,-99999.0,25.79,25.98,259.39999,4.5 +303,2019-10-31 12:00:00+00:00,37.407,37.381,37.406,26.13,26.0,-99999.0,25.83,26.07,261.29999,4.7 +304,2019-11-01 12:00:00+00:00,37.391,37.385,37.409,26.48,25.96,-99999.0,25.85,25.99,233.5,2.1 +305,2019-11-02 12:00:00+00:00,37.421,37.391,37.416,26.16,26.03,-99999.0,25.9,26.11,319.5,5.7 +306,2019-11-03 12:00:00+00:00,37.415,37.391,37.423,25.89,25.89,-99999.0,25.87,25.89,292.20001,6.9 +307,2019-11-04 12:00:00+00:00,37.405,37.381,37.414,25.97,25.95,-99999.0,25.88,25.96,182.60001,5.5 +308,2019-11-05 12:00:00+00:00,37.404,37.379,37.41,26.09,26.04,-99999.0,25.92,26.08,175.2,5.0 +309,2019-11-06 12:00:00+00:00,37.404,37.379,37.411,26.18,26.08,-99999.0,26.02,26.15,199.0,4.2 +310,2019-11-07 12:00:00+00:00,37.412,37.379,37.412,26.62,26.16,-99999.0,26.09,26.21,182.60001,2.0 +311,2019-11-08 12:00:00+00:00,37.431,37.38,37.412,26.88,26.21,-99999.0,26.1,26.41,214.0,2.1 +312,2019-11-09 12:00:00+00:00,37.441,37.385,37.414,26.87,26.34,-99999.0,26.15,26.7,263.39999,3.5 +313,2019-11-10 12:00:00+00:00,37.436,37.402,37.414,26.76,26.58,-99999.0,26.19,26.7,249.2,3.8 +314,2019-11-11 12:00:00+00:00,37.443,37.415,37.42,26.79,26.66,-99999.0,26.29,26.74,227.60001,3.4 +315,2019-11-12 12:00:00+00:00,37.435,37.422,37.418,27.08,26.76,-99999.0,26.29,26.83,323.0,2.9 +316,2019-11-13 12:00:00+00:00,37.439,37.413,37.443,26.69,26.69,-99999.0,26.58,26.69,320.5,7.5 +317,2019-11-14 12:00:00+00:00,37.397,37.374,37.415,26.55,26.47,-99999.0,26.45,26.52,318.10001,6.5 +318,2019-11-15 12:00:00+00:00,37.41,37.391,37.435,26.65,26.61,-99999.0,26.54,26.64,195.10001,4.3 +319,2019-11-16 12:00:00+00:00,37.421,37.392,37.423,26.61,26.6,-99999.0,26.56,26.61,166.3,4.6 +320,2019-11-17 12:00:00+00:00,37.417,37.388,37.419,26.73,26.61,-99999.0,26.55,26.63,193.60001,3.5 +321,2019-11-18 12:00:00+00:00,37.416,37.397,37.429,26.92,26.69,-99999.0,26.63,26.73,295.39999,2.1 +322,2019-11-19 12:00:00+00:00,37.407,37.388,37.425,26.86,26.7,-99999.0,26.63,26.77,286.60001,3.9 +323,2019-11-20 12:00:00+00:00,37.438,37.408,37.445,26.98,26.9,-99999.0,26.8,26.93,320.10001,3.1 +324,2019-11-21 12:00:00+00:00,37.425,37.394,37.432,26.76,26.76,-99999.0,26.75,26.76,311.60001,7.2 +325,2019-11-22 12:00:00+00:00,37.402,37.376,37.417,26.79,26.74,-99999.0,26.74,26.76,284.70001,4.0 +326,2019-11-23 12:00:00+00:00,37.408,37.377,37.41,26.85,26.81,-99999.0,26.76,26.84,201.0,4.1 +327,2019-11-24 12:00:00+00:00,37.444,37.413,37.452,26.9,26.9,-99999.0,26.9,26.9,87.8,5.5 +328,2019-11-25 12:00:00+00:00,37.412,37.381,37.418,26.61,26.61,-99999.0,26.61,26.61,357.5,7.1 +329,2019-11-26 12:00:00+00:00,37.429,37.398,37.434,26.54,26.53,-99999.0,26.52,26.54,337.89999,6.1 +330,2019-11-27 12:00:00+00:00,37.407,37.376,37.414,26.34,26.34,-99999.0,26.34,26.34,312.5,5.1 +331,2019-11-28 12:00:00+00:00,37.433,37.402,37.441,26.4,26.39,-99999.0,26.37,26.4,265.60001,6.0 +332,2019-11-29 12:00:00+00:00,37.455,37.423,37.46,26.61,26.56,-99999.0,26.5,26.59,241.39999,5.1 +333,2019-11-30 12:00:00+00:00,37.455,37.424,37.464,26.63,26.63,-99999.0,26.59,26.63,231.5,5.7 +334,2019-12-01 12:00:00+00:00,37.421,37.39,37.432,26.69,26.67,-99999.0,26.63,26.68,207.89999,5.9 +335,2019-12-02 12:00:00+00:00,37.406,37.376,37.415,26.73,26.72,-99999.0,26.7,26.73,145.89999,5.8 +336,2019-12-03 12:00:00+00:00,37.304,37.336,37.385,26.68,26.71,-99999.0,26.72,26.69,8.9,4.2 +337,2019-12-04 12:00:00+00:00,37.393,37.363,37.402,26.62,26.62,-99999.0,26.62,26.62,332.89999,7.4 +338,2019-12-05 12:00:00+00:00,37.356,37.344,37.39,26.61,26.6,-99999.0,26.6,26.61,238.89999,1.9 +339,2019-12-06 12:00:00+00:00,37.412,37.379,37.417,26.64,26.62,-99999.0,26.6,26.63,199.5,5.6 +340,2019-12-07 12:00:00+00:00,37.381,37.355,37.412,26.81,26.72,-99999.0,26.66,26.78,145.2,4.4 +341,2019-12-08 12:00:00+00:00,37.366,37.336,37.414,27.23,26.87,-99999.0,26.71,26.94,241.2,2.6 +342,2019-12-09 12:00:00+00:00,37.301,37.309,37.39,27.36,26.96,-99999.0,26.78,27.26,213.5,2.8 +343,2019-12-10 12:00:00+00:00,37.27,37.266,37.361,27.26,27.05,-99999.0,26.82,27.2,267.20001,4.0 +344,2019-12-11 12:00:00+00:00,37.297,37.253,37.338,27.35,27.08,-99999.0,26.81,27.24,287.39999,4.7 +345,2019-12-12 12:00:00+00:00,37.258,37.273,37.298,27.27,27.19,-99999.0,26.96,27.21,279.20001,6.3 +346,2019-12-13 12:00:00+00:00,-9999.0,37.298,37.324,-9999.0,27.13,-99999.0,27.0,27.15,272.60001,6.3 +347,2019-12-14 12:00:00+00:00,-9999.0,37.329,37.366,-9999.0,27.18,-99999.0,27.14,27.2,294.60001,6.7 +348,2019-12-15 12:00:00+00:00,-9999.0,37.407,37.448,-9999.0,27.36,-99999.0,27.33,27.37,308.70001,7.0 +349,2019-12-16 12:00:00+00:00,-9999.0,37.42,37.462,-9999.0,27.38,-99999.0,27.36,27.39,291.0,7.1 +350,2019-12-17 12:00:00+00:00,-9999.0,37.428,37.47,-9999.0,27.38,-99999.0,27.34,27.39,274.29999,6.0 +351,2019-12-18 12:00:00+00:00,-9999.0,37.428,37.471,-9999.0,27.44,-99999.0,27.41,27.46,279.70001,5.8 +352,2019-12-19 12:00:00+00:00,-9999.0,37.426,37.472,-9999.0,27.48,-99999.0,27.44,27.49,271.70001,6.0 +353,2019-12-20 12:00:00+00:00,-9999.0,37.43,37.474,-9999.0,27.44,-99999.0,27.42,27.51,273.60001,4.8 +354,2019-12-21 12:00:00+00:00,-9999.0,37.432,37.477,-9999.0,27.49,-99999.0,27.45,27.53,281.20001,4.3 +355,2019-12-22 12:00:00+00:00,-9999.0,37.432,37.479,-9999.0,27.5,-99999.0,27.46,27.51,272.60001,6.3 +356,2019-12-23 12:00:00+00:00,-9999.0,37.438,37.483,-9999.0,27.49,-99999.0,27.48,27.49,267.5,7.1 +357,2019-12-24 12:00:00+00:00,-9999.0,37.444,37.491,-9999.0,27.45,-99999.0,27.44,27.47,265.79999,5.4 +358,2019-12-25 12:00:00+00:00,-9999.0,37.433,37.484,-9999.0,27.44,-99999.0,27.42,27.45,274.29999,6.0 +359,2019-12-26 12:00:00+00:00,-9999.0,37.448,37.496,-9999.0,27.44,-99999.0,27.42,27.45,294.60001,6.7 +360,2019-12-27 12:00:00+00:00,-9999.0,37.441,37.487,-9999.0,27.43,-99999.0,27.42,27.43,296.39999,6.0 +361,2019-12-28 12:00:00+00:00,-9999.0,37.445,37.491,-9999.0,27.44,-99999.0,27.41,27.48,308.39999,5.3 +362,2019-12-29 12:00:00+00:00,-9999.0,37.43,37.478,-9999.0,27.46,-99999.0,27.43,27.47,293.70001,6.0 +363,2019-12-30 12:00:00+00:00,-9999.0,37.423,37.475,-9999.0,27.43,-99999.0,27.42,27.43,271.60001,5.6 +364,2019-12-31 12:00:00+00:00,-9999.0,37.406,37.456,-9999.0,27.43,-99999.0,27.42,27.43,273.29999,7.0 +365,2020-01-01 12:00:00+00:00,-9999.0,37.421,37.469,-9999.0,27.43,-99999.0,27.44,27.43,239.7,5.5 +366,2020-01-02 12:00:00+00:00,-9999.0,37.417,37.467,-9999.0,27.45,-99999.0,27.43,27.46,221.8,6.4 +367,2020-01-03 12:00:00+00:00,-9999.0,37.423,37.47,-9999.0,27.48,-99999.0,27.48,27.48,217.89999,6.8 +368,2020-01-04 12:00:00+00:00,-9999.0,37.437,37.485,-9999.0,27.45,-99999.0,27.45,27.46,219.39999,6.7 +369,2020-01-05 12:00:00+00:00,-9999.0,37.423,37.471,-9999.0,27.47,-99999.0,27.43,27.49,213.39999,6.0 +370,2020-01-06 12:00:00+00:00,-9999.0,37.394,37.44,-9999.0,27.48,-99999.0,27.43,27.49,224.2,5.5 +371,2020-01-07 12:00:00+00:00,-9999.0,37.399,37.445,-9999.0,27.51,-99999.0,27.47,27.54,248.39999,4.9 +372,2020-01-08 12:00:00+00:00,-9999.0,37.399,37.446,-9999.0,27.54,-99999.0,27.5,27.61,260.0,4.3 +373,2020-01-09 12:00:00+00:00,-9999.0,37.402,37.444,-9999.0,27.63,-99999.0,27.53,27.69,259.39999,4.5 +374,2020-01-10 12:00:00+00:00,-9999.0,37.402,37.449,-9999.0,27.66,-99999.0,27.61,27.72,256.29999,4.6 +375,2020-01-11 12:00:00+00:00,-9999.0,37.404,37.45,-9999.0,27.74,-99999.0,27.66,27.78,243.89999,5.5 +376,2020-01-12 12:00:00+00:00,-9999.0,37.403,37.453,-9999.0,27.8,-99999.0,27.76,27.86,228.3,5.3 +377,2020-01-13 12:00:00+00:00,-9999.0,37.398,37.447,-9999.0,27.86,-99999.0,27.8,27.9,166.0,3.6 +378,2020-01-14 12:00:00+00:00,-9999.0,37.397,37.446,-9999.0,27.92,-99999.0,27.83,28.07,92.6,2.0 +379,2020-01-15 12:00:00+00:00,-9999.0,37.405,37.441,-9999.0,28.18,-99999.0,27.87,28.3,260.0,1.1 +380,2020-01-16 12:00:00+00:00,-9999.0,37.407,37.439,-9999.0,28.27,-99999.0,27.98,28.41,232.0,4.3 +381,2020-01-17 12:00:00+00:00,-9999.0,37.406,37.448,-9999.0,28.34,-99999.0,28.21,28.4,270.60001,5.4 +382,2020-01-18 12:00:00+00:00,-9999.0,37.4,37.447,-9999.0,28.3,-99999.0,28.22,28.35,246.0,3.4 +383,2020-01-19 12:00:00+00:00,-9999.0,37.401,37.447,-9999.0,28.34,-99999.0,28.25,28.4,256.29999,4.6 +384,2020-01-20 12:00:00+00:00,-9999.0,37.414,37.46,-9999.0,28.45,-99999.0,28.39,28.49,232.0,3.5 +385,2020-01-21 12:00:00+00:00,-9999.0,37.43,37.474,-9999.0,28.52,-99999.0,28.45,28.54,199.2,4.5 +386,2020-01-22 12:00:00+00:00,-9999.0,37.42,37.472,-9999.0,28.34,-99999.0,28.33,28.34,205.2,5.9 +387,2020-01-23 12:00:00+00:00,-9999.0,37.419,37.473,-9999.0,28.19,-99999.0,28.19,28.19,228.60001,7.3 +388,2020-01-24 12:00:00+00:00,-9999.0,37.363,37.415,-9999.0,28.08,-99999.0,28.09,28.08,205.60001,7.1 +389,2020-01-25 12:00:00+00:00,-9999.0,37.304,37.356,-9999.0,27.99,-99999.0,27.99,27.99,195.60001,7.5 +390,2020-01-26 12:00:00+00:00,-9999.0,37.303,37.355,-9999.0,27.97,-99999.0,27.96,27.97,174.39999,5.2 +391,2020-01-27 12:00:00+00:00,-9999.0,37.311,37.364,-9999.0,28.01,-99999.0,27.97,28.07,230.7,4.7 +392,2020-01-28 12:00:00+00:00,-9999.0,37.309,37.361,-9999.0,28.09,-99999.0,28.03,28.14,240.3,4.2 +393,2020-01-29 12:00:00+00:00,-9999.0,37.32,37.363,-9999.0,28.18,-99999.0,28.09,28.28,286.89999,4.1 +394,2020-01-30 12:00:00+00:00,-9999.0,37.325,37.372,-9999.0,28.27,-99999.0,28.19,28.31,288.10001,5.7 +395,2020-01-31 12:00:00+00:00,-9999.0,37.326,37.375,-9999.0,28.26,-99999.0,28.21,28.33,264.39999,4.5 +396,2020-02-01 12:00:00+00:00,-9999.0,37.333,37.381,-9999.0,28.33,-99999.0,28.25,-9999.0,242.2,3.2 +397,2020-02-02 12:00:00+00:00,-9999.0,37.346,37.399,-9999.0,28.38,-99999.0,28.26,-9999.0,242.39999,3.4 +398,2020-02-03 12:00:00+00:00,-9999.0,37.362,37.409,-9999.0,28.41,-99999.0,28.28,-9999.0,249.60001,3.4 +399,2020-02-04 12:00:00+00:00,-9999.0,37.374,37.42,-9999.0,28.53,-99999.0,28.38,-9999.0,264.39999,4.0 +400,2020-02-05 12:00:00+00:00,-9999.0,37.355,37.403,-9999.0,28.43,-99999.0,28.38,-9999.0,291.0,4.1 +401,2020-02-06 12:00:00+00:00,-9999.0,37.362,37.411,-9999.0,28.54,-99999.0,28.49,-9999.0,311.20001,3.1 +402,2020-02-07 12:00:00+00:00,-9999.0,37.345,37.394,-9999.0,28.51,-99999.0,28.49,-9999.0,302.29999,2.4 +403,2020-02-08 12:00:00+00:00,-9999.0,37.336,37.385,-9999.0,28.5,-99999.0,28.45,-9999.0,187.39999,4.4 +404,2020-02-09 12:00:00+00:00,-9999.0,37.341,37.392,-9999.0,28.51,-99999.0,28.48,-9999.0,232.60001,4.5 +405,2020-02-10 12:00:00+00:00,-9999.0,37.344,37.396,-9999.0,28.61,-99999.0,28.53,-9999.0,192.89999,4.2 +406,2020-02-11 12:00:00+00:00,-9999.0,37.356,37.402,-9999.0,28.72,-99999.0,28.59,-9999.0,211.0,5.0 +407,2020-02-12 12:00:00+00:00,-9999.0,37.36,37.413,-9999.0,28.77,-99999.0,28.72,-9999.0,256.29999,4.6 +408,2020-02-13 12:00:00+00:00,-9999.0,37.357,37.412,-9999.0,28.76,-99999.0,28.72,-9999.0,267.39999,6.1 +409,2020-02-14 12:00:00+00:00,-9999.0,37.36,37.415,-9999.0,28.77,-99999.0,28.75,-9999.0,276.60001,5.2 +410,2020-02-15 12:00:00+00:00,-9999.0,37.364,37.42,-9999.0,28.84,-99999.0,28.78,-9999.0,268.20001,4.9 +411,2020-02-16 12:00:00+00:00,-9999.0,37.373,37.429,-9999.0,28.87,-99999.0,28.84,-9999.0,277.29999,5.5 +412,2020-02-17 12:00:00+00:00,-9999.0,37.381,37.436,-9999.0,28.82,-99999.0,28.79,-9999.0,287.5,7.0 +413,2020-02-18 12:00:00+00:00,-9999.0,37.366,37.421,-9999.0,28.67,-99999.0,28.67,-9999.0,288.10001,8.3 +414,2020-02-19 12:00:00+00:00,-9999.0,37.341,37.4,-9999.0,28.52,-99999.0,28.5,-9999.0,285.79999,6.3 +415,2020-02-20 12:00:00+00:00,-9999.0,37.332,37.385,-9999.0,28.49,-99999.0,28.46,-9999.0,277.29999,5.5 +416,2020-02-21 12:00:00+00:00,-9999.0,37.332,37.388,-9999.0,28.54,-99999.0,28.51,-9999.0,248.3,5.1 +417,2020-02-22 12:00:00+00:00,-9999.0,37.346,37.405,-9999.0,28.57,-99999.0,28.54,-9999.0,226.7,4.4 +418,2020-02-23 12:00:00+00:00,-9999.0,37.354,37.408,-9999.0,28.59,-99999.0,28.56,-9999.0,201.0,4.1 +419,2020-02-24 12:00:00+00:00,-9999.0,37.356,37.411,-9999.0,28.62,-99999.0,28.6,-9999.0,214.39999,3.2 +420,2020-02-25 12:00:00+00:00,-9999.0,37.346,37.399,-9999.0,28.66,-99999.0,28.62,-9999.0,237.2,2.8 +421,2020-02-26 12:00:00+00:00,-9999.0,37.386,37.453,-9999.0,28.81,-99999.0,28.72,-9999.0,255.0,4.0 +422,2020-02-27 12:00:00+00:00,-9999.0,37.407,37.467,-9999.0,28.81,-99999.0,28.76,-9999.0,222.5,5.1 +423,2020-02-28 12:00:00+00:00,-9999.0,37.417,-9999.0,-9999.0,28.83,-99999.0,-9999.0,-9999.0,239.3,3.6 +424,2020-02-29 12:00:00+00:00,-9999.0,37.415,37.471,-9999.0,28.89,-99999.0,28.85,-9999.0,291.0,3.6 +425,2020-03-01 12:00:00+00:00,-9999.0,37.4,37.451,-9999.0,28.89,-99999.0,28.83,-9999.0,306.89999,2.3 +426,2020-03-02 12:00:00+00:00,-9999.0,37.396,37.455,-9999.0,28.89,-99999.0,28.86,-9999.0,293.29999,3.7 +427,2020-03-03 12:00:00+00:00,-9999.0,37.401,37.458,-9999.0,28.93,-99999.0,28.89,-9999.0,257.29999,5.2 +428,2020-03-04 12:00:00+00:00,-9999.0,37.398,37.456,-9999.0,28.9,-99999.0,28.87,-9999.0,241.60001,5.3 +429,2020-03-05 12:00:00+00:00,-9999.0,37.421,37.479,-9999.0,28.93,-99999.0,28.92,-9999.0,209.60001,4.8 +430,2020-03-06 12:00:00+00:00,-9999.0,37.428,37.485,-9999.0,28.96,-99999.0,28.93,-9999.0,142.0,1.9 +431,2020-03-07 12:00:00+00:00,-9999.0,37.43,37.5,-9999.0,29.05,-99999.0,29.01,-9999.0,341.70001,4.2 +432,2020-03-08 12:00:00+00:00,-9999.0,37.39,37.457,-9999.0,28.91,-99999.0,28.93,-9999.0,328.89999,6.5 +433,2020-03-09 12:00:00+00:00,-9999.0,37.308,37.404,-9999.0,28.76,-99999.0,28.81,-9999.0,260.0,3.5 +434,2020-03-10 12:00:00+00:00,-9999.0,37.293,37.374,-9999.0,28.72,-99999.0,28.72,-9999.0,265.39999,3.8 +435,2020-03-11 12:00:00+00:00,-9999.0,37.228,37.361,-9999.0,28.79,-99999.0,28.79,-9999.0,279.70001,2.4 +436,2020-03-12 12:00:00+00:00,-9999.0,37.23,37.306,-9999.0,28.73,-99999.0,28.76,-9999.0,304.60001,4.4 +437,2020-03-13 12:00:00+00:00,-9999.0,37.172,37.255,-9999.0,28.67,-99999.0,28.69,-9999.0,302.29999,3.8 +438,2020-03-14 12:00:00+00:00,-9999.0,37.146,37.225,-9999.0,28.62,-99999.0,28.65,-9999.0,297.29999,5.2 +439,2020-03-15 12:00:00+00:00,-9999.0,37.076,37.248,-9999.0,28.51,-99999.0,28.69,-9999.0,304.70001,5.5 +440,2020-03-16 12:00:00+00:00,-9999.0,37.21,37.269,-9999.0,28.61,-99999.0,28.61,-9999.0,287.79999,5.2 +441,2020-03-17 12:00:00+00:00,-9999.0,37.161,37.216,-9999.0,28.62,-99999.0,28.61,-9999.0,270.39999,4.9 +442,2020-03-18 12:00:00+00:00,-9999.0,37.194,37.251,-9999.0,28.69,-99999.0,28.67,-9999.0,278.0,3.9 +443,2020-03-19 12:00:00+00:00,-9999.0,37.192,37.241,-9999.0,28.75,-99999.0,28.68,-9999.0,246.0,3.8 +444,2020-03-20 12:00:00+00:00,-9999.0,37.119,37.193,-9999.0,28.61,-99999.0,28.6,-9999.0,201.0,5.2 +445,2020-03-21 12:00:00+00:00,-9999.0,37.079,37.142,-9999.0,28.52,-99999.0,28.52,-9999.0,153.8,5.3 +446,2020-03-22 12:00:00+00:00,-9999.0,37.166,37.286,-9999.0,28.53,-99999.0,28.53,-9999.0,129.39999,2.0 +447,2020-03-23 12:00:00+00:00,-9999.0,37.203,37.428,-9999.0,28.54,-99999.0,28.58,-9999.0,337.89999,6.2 +448,2020-03-24 12:00:00+00:00,-9999.0,37.364,37.433,-9999.0,28.43,-99999.0,28.44,-9999.0,341.10001,8.9 +449,2020-03-25 12:00:00+00:00,-9999.0,37.391,37.449,-9999.0,28.38,-99999.0,28.38,-9999.0,347.29999,8.1 +450,2020-03-26 12:00:00+00:00,-9999.0,37.392,37.451,-9999.0,28.34,-99999.0,28.32,-9999.0,346.60001,6.5 +451,2020-03-27 12:00:00+00:00,-9999.0,37.388,37.447,-9999.0,28.37,-99999.0,28.34,-9999.0,343.79999,4.6 +452,2020-03-28 12:00:00+00:00,-9999.0,37.327,37.386,-9999.0,28.37,-99999.0,28.35,-9999.0,270.79999,3.1 +453,2020-03-29 12:00:00+00:00,-9999.0,37.265,37.318,-9999.0,28.37,-99999.0,28.31,-9999.0,297.79999,3.7 +454,2020-03-30 12:00:00+00:00,-9999.0,37.251,37.298,-9999.0,28.36,-99999.0,28.3,-9999.0,317.60001,2.8 +455,2020-03-31 12:00:00+00:00,-9999.0,37.249,37.298,-9999.0,28.45,-99999.0,28.31,-9999.0,322.60001,4.5 +456,2020-04-01 12:00:00+00:00,-9999.0,37.263,37.317,-9999.0,28.41,-99999.0,28.35,-9999.0,316.0,4.8 +457,2020-04-02 12:00:00+00:00,-9999.0,37.269,37.326,-9999.0,28.43,-99999.0,28.4,-9999.0,298.70001,5.4 +458,2020-04-03 12:00:00+00:00,-9999.0,37.26,37.319,-9999.0,28.44,-99999.0,28.42,-9999.0,158.39999,4.9 +459,2020-04-04 12:00:00+00:00,-9999.0,37.277,37.335,-9999.0,28.41,-99999.0,28.41,-9999.0,129.39999,5.9 +460,2020-04-05 12:00:00+00:00,-9999.0,37.263,37.319,-9999.0,28.32,-99999.0,28.32,-9999.0,352.20001,6.5 +461,2020-04-06 12:00:00+00:00,-9999.0,37.255,37.308,-9999.0,28.15,-99999.0,28.13,-9999.0,333.5,4.7 +462,2020-04-07 12:00:00+00:00,-9999.0,37.229,37.283,-9999.0,28.01,-99999.0,28.01,-9999.0,299.10001,2.2 +463,2020-04-08 12:00:00+00:00,-9999.0,37.207,37.258,-9999.0,28.0,-99999.0,27.96,-9999.0,45.4,2.0 +464,2020-04-09 12:00:00+00:00,-9999.0,37.202,37.263,-9999.0,28.0,-99999.0,27.98,-9999.0,347.29999,4.2 +465,2020-04-10 12:00:00+00:00,-9999.0,37.21,37.263,-9999.0,27.88,-99999.0,27.89,-9999.0,323.70001,6.6 +466,2020-04-11 12:00:00+00:00,-9999.0,37.243,37.299,-9999.0,27.83,-99999.0,27.82,-9999.0,289.29999,4.8 +467,2020-04-12 12:00:00+00:00,-9999.0,37.267,37.325,-9999.0,27.87,-99999.0,27.86,-9999.0,201.0,1.7 +468,2020-04-13 12:00:00+00:00,-9999.0,37.257,37.316,-9999.0,27.87,-99999.0,27.85,-9999.0,286.20001,3.6 +469,2020-04-14 12:00:00+00:00,-9999.0,37.199,37.254,-9999.0,27.82,-99999.0,27.78,-9999.0,265.39999,3.8 +470,2020-04-15 12:00:00+00:00,-9999.0,37.165,37.216,-9999.0,27.76,-99999.0,27.74,-9999.0,252.0,4.0 +471,2020-04-16 12:00:00+00:00,-9999.0,37.147,37.216,-9999.0,27.88,-99999.0,27.79,-9999.0,240.0,4.0 +472,2020-04-17 12:00:00+00:00,-9999.0,37.213,37.259,-9999.0,27.99,-99999.0,27.91,-9999.0,275.70001,3.4 +473,2020-04-18 12:00:00+00:00,-9999.0,37.192,37.247,-9999.0,27.91,-99999.0,27.88,-9999.0,325.39999,3.4 +474,2020-04-19 12:00:00+00:00,-9999.0,37.153,37.216,-9999.0,27.83,-99999.0,27.84,-9999.0,337.60001,7.2 +475,2020-04-20 12:00:00+00:00,-9999.0,37.169,37.236,-9999.0,27.78,-99999.0,27.8,-9999.0,344.79999,5.3 +476,2020-04-21 12:00:00+00:00,-9999.0,37.129,37.181,-9999.0,27.63,-99999.0,27.63,-9999.0,336.0,1.9 +477,2020-04-22 12:00:00+00:00,-9999.0,37.15,37.203,-9999.0,27.73,-99999.0,27.71,-9999.0,0.2,4.5 +478,2020-04-23 12:00:00+00:00,-9999.0,37.155,37.205,-9999.0,27.77,-99999.0,27.76,-9999.0,14.2,3.7 +479,2020-04-24 12:00:00+00:00,-9999.0,37.174,37.223,-9999.0,27.77,-99999.0,27.75,-9999.0,345.0,4.0 +480,2020-04-25 12:00:00+00:00,-9999.0,37.186,37.237,-9999.0,27.73,-99999.0,27.73,-9999.0,314.5,8.1 +481,2020-04-26 12:00:00+00:00,-9999.0,37.182,37.233,-9999.0,27.63,-99999.0,27.63,-9999.0,323.5,7.4 +482,2020-04-27 12:00:00+00:00,-9999.0,37.199,37.25,-9999.0,27.61,-99999.0,27.62,-9999.0,327.20001,7.9 +483,2020-04-28 12:00:00+00:00,-9999.0,37.205,37.254,-9999.0,27.52,-99999.0,27.53,-9999.0,331.89999,8.4 +484,2020-04-29 12:00:00+00:00,-9999.0,37.229,37.278,-9999.0,27.5,-99999.0,27.5,-9999.0,298.79999,6.3 +485,2020-04-30 12:00:00+00:00,-9999.0,37.227,37.277,-9999.0,27.51,-99999.0,27.49,-9999.0,272.60001,5.5 +486,2020-05-01 12:00:00+00:00,-9999.0,37.23,37.279,-9999.0,27.49,-99999.0,27.49,-9999.0,222.8,3.2 +487,2020-05-02 12:00:00+00:00,-9999.0,37.226,37.277,-9999.0,27.53,-99999.0,27.51,-9999.0,111.0,2.2 +488,2020-05-03 12:00:00+00:00,-9999.0,37.221,37.27,-9999.0,27.5,-99999.0,27.5,-9999.0,71.2,2.4 +489,2020-05-04 12:00:00+00:00,-9999.0,37.225,37.272,-9999.0,27.44,-99999.0,27.45,-9999.0,9.7,6.5 +490,2020-05-05 12:00:00+00:00,-9999.0,37.228,37.277,-9999.0,27.41,-99999.0,27.4,-9999.0,331.60001,2.8 +491,2020-05-06 12:00:00+00:00,-9999.0,37.231,37.279,-9999.0,27.4,-99999.0,27.39,-9999.0,180.39999,2.6 +492,2020-05-07 12:00:00+00:00,-9999.0,37.241,37.289,-9999.0,27.42,-99999.0,27.4,-9999.0,187.0,3.7 +493,2020-05-08 12:00:00+00:00,-9999.0,37.237,37.288,-9999.0,27.4,-99999.0,27.4,-9999.0,350.5,6.4 +494,2020-05-09 12:00:00+00:00,-9999.0,37.249,37.298,-9999.0,27.35,-99999.0,27.35,-9999.0,344.60001,9.2 +495,2020-05-10 12:00:00+00:00,-9999.0,37.29,37.34,-9999.0,27.35,-99999.0,27.35,-9999.0,329.70001,9.0 +496,2020-05-11 12:00:00+00:00,-9999.0,37.296,37.344,-9999.0,27.23,-99999.0,27.24,-9999.0,314.79999,7.7 +497,2020-05-12 12:00:00+00:00,-9999.0,37.287,37.334,-9999.0,27.17,-99999.0,27.17,-9999.0,309.39999,6.3 +498,2020-05-13 12:00:00+00:00,-9999.0,37.245,37.291,-9999.0,27.04,-99999.0,27.03,-9999.0,294.0,5.5 +499,2020-05-14 12:00:00+00:00,-9999.0,37.248,37.294,-9999.0,27.02,-99999.0,27.02,-9999.0,250.2,5.5 +500,2020-05-15 12:00:00+00:00,-9999.0,37.254,37.3,-9999.0,27.04,-99999.0,27.03,-9999.0,225.0,3.0 +501,2020-05-16 12:00:00+00:00,-9999.0,37.286,37.328,-9999.0,27.16,-99999.0,27.13,-9999.0,284.70001,1.6 +502,2020-05-17 12:00:00+00:00,-9999.0,37.337,37.387,-9999.0,27.25,-99999.0,27.26,-9999.0,315.70001,5.8 +503,2020-05-18 12:00:00+00:00,-9999.0,37.392,37.442,-9999.0,27.33,-99999.0,27.33,-9999.0,325.29999,7.5 +504,2020-05-19 12:00:00+00:00,-9999.0,37.391,37.443,-9999.0,27.29,-99999.0,27.3,-9999.0,331.60001,7.8 +505,2020-05-20 12:00:00+00:00,-9999.0,37.425,37.474,-9999.0,27.24,-99999.0,27.24,-9999.0,325.20001,8.5 +506,2020-05-21 12:00:00+00:00,-9999.0,37.402,37.45,-9999.0,27.13,-99999.0,27.14,-9999.0,312.20001,7.4 +507,2020-05-22 12:00:00+00:00,-9999.0,37.385,37.433,-9999.0,27.06,-99999.0,27.06,-9999.0,298.10001,6.8 +508,2020-05-23 12:00:00+00:00,-9999.0,37.368,37.422,-9999.0,27.01,-99999.0,27.01,-9999.0,289.70001,6.4 +509,2020-05-24 12:00:00+00:00,-9999.0,37.403,37.451,-9999.0,27.08,-99999.0,27.08,-9999.0,260.89999,6.2 +510,2020-05-25 12:00:00+00:00,-9999.0,37.425,37.474,-9999.0,27.11,-99999.0,27.11,-9999.0,222.2,5.5 +511,2020-05-26 12:00:00+00:00,-9999.0,37.437,37.485,-9999.0,27.11,-99999.0,27.12,-9999.0,181.60001,5.6 +512,2020-05-27 12:00:00+00:00,-9999.0,37.415,37.47,-9999.0,27.05,-99999.0,27.07,-9999.0,52.0,4.3 +513,2020-05-28 12:00:00+00:00,-9999.0,37.44,37.488,-9999.0,27.04,-99999.0,27.05,-9999.0,10.7,6.4 +514,2020-05-29 12:00:00+00:00,-9999.0,37.437,37.483,-9999.0,26.96,-99999.0,26.97,-9999.0,344.89999,6.5 +515,2020-05-30 12:00:00+00:00,-9999.0,37.448,37.494,-9999.0,26.9,-99999.0,26.91,-9999.0,323.0,5.4 +516,2020-05-31 12:00:00+00:00,-9999.0,37.44,37.487,-9999.0,26.84,-99999.0,26.84,-9999.0,318.5,4.1 +517,2020-06-01 12:00:00+00:00,-9999.0,37.444,37.49,-9999.0,26.84,-99999.0,26.84,-9999.0,291.0,1.1 +518,2020-06-02 12:00:00+00:00,-9999.0,37.431,37.468,-9999.0,26.84,-99999.0,26.81,-9999.0,256.29999,4.6 +519,2020-06-03 12:00:00+00:00,-9999.0,37.409,37.453,-9999.0,26.78,-99999.0,26.78,-9999.0,235.39999,3.4 +520,2020-06-04 12:00:00+00:00,-9999.0,37.384,37.445,-9999.0,26.8,-99999.0,26.81,-9999.0,343.89999,5.9 +521,2020-06-05 12:00:00+00:00,-9999.0,37.432,37.471,-9999.0,26.8,-99999.0,26.8,-9999.0,327.10001,6.5 +522,2020-06-06 12:00:00+00:00,-9999.0,37.433,37.472,-9999.0,26.74,-99999.0,26.74,-9999.0,323.89999,8.5 +523,2020-06-07 12:00:00+00:00,-9999.0,37.425,37.464,-9999.0,26.66,-99999.0,26.66,-9999.0,323.5,5.6 +524,2020-06-08 12:00:00+00:00,-9999.0,37.409,37.445,-9999.0,26.6,-99999.0,26.61,-9999.0,292.20001,6.9 +525,2020-06-09 12:00:00+00:00,-9999.0,37.368,37.403,-9999.0,26.51,-99999.0,26.5,-9999.0,237.2,2.8 +526,2020-06-10 12:00:00+00:00,-9999.0,37.362,37.39,-9999.0,26.53,-99999.0,26.49,-9999.0,221.2,3.1 +527,2020-06-11 12:00:00+00:00,-9999.0,37.344,37.379,-9999.0,26.49,-99999.0,26.47,-9999.0,248.5,4.7 +528,2020-06-12 12:00:00+00:00,-9999.0,37.351,37.382,-9999.0,26.47,-99999.0,26.46,-9999.0,242.8,3.8 +529,2020-06-13 12:00:00+00:00,-9999.0,37.34,37.369,-9999.0,26.48,-99999.0,26.46,-9999.0,293.10001,4.0 +530,2020-06-14 12:00:00+00:00,-9999.0,37.346,37.376,-9999.0,26.47,-99999.0,26.47,-9999.0,305.39999,5.2 +531,2020-06-15 12:00:00+00:00,-9999.0,37.354,37.383,-9999.0,26.45,-99999.0,26.46,-9999.0,320.70001,6.8 +532,2020-06-16 12:00:00+00:00,-9999.0,37.355,37.383,-9999.0,26.39,-99999.0,26.4,-9999.0,326.5,8.4 +533,2020-06-17 12:00:00+00:00,-9999.0,37.357,37.383,-9999.0,26.31,-99999.0,26.32,-9999.0,326.29999,9.4 +534,2020-06-18 12:00:00+00:00,-9999.0,37.356,37.38,-9999.0,26.21,-99999.0,26.22,-9999.0,309.39999,9.7 +535,2020-06-19 12:00:00+00:00,-9999.0,37.355,37.38,-9999.0,26.15,-99999.0,26.16,-9999.0,289.79999,6.7 +536,2020-06-20 12:00:00+00:00,-9999.0,37.356,37.379,-9999.0,26.12,-99999.0,26.12,-9999.0,286.60001,5.6 +537,2020-06-21 12:00:00+00:00,-9999.0,37.357,37.379,-9999.0,26.08,-99999.0,26.08,-9999.0,294.20001,5.2 +538,2020-06-22 12:00:00+00:00,-9999.0,37.357,37.377,-9999.0,26.04,-99999.0,26.04,-9999.0,307.39999,5.1 +539,2020-06-23 12:00:00+00:00,-9999.0,37.357,37.378,-9999.0,26.01,-99999.0,26.02,-9999.0,309.39999,5.0 +540,2020-06-24 12:00:00+00:00,-9999.0,37.358,37.376,-9999.0,25.97,-99999.0,25.98,-9999.0,294.20001,7.5 +541,2020-06-25 12:00:00+00:00,-9999.0,37.363,37.38,-9999.0,25.92,-99999.0,25.93,-9999.0,294.20001,7.5 +542,2020-06-26 12:00:00+00:00,-9999.0,37.364,37.38,-9999.0,25.89,-99999.0,25.88,-9999.0,265.60001,6.0 +543,2020-06-27 12:00:00+00:00,-9999.0,37.373,37.39,-9999.0,25.91,-99999.0,25.9,-9999.0,267.79999,3.4 +544,2020-06-28 12:00:00+00:00,-9999.0,37.341,37.36,-9999.0,25.79,-99999.0,25.78,-9999.0,294.79999,2.4 +545,2020-06-29 12:00:00+00:00,-9999.0,37.346,37.36,-9999.0,25.73,-99999.0,25.74,-9999.0,316.0,7.0 +546,2020-06-30 12:00:00+00:00,-9999.0,37.345,37.357,-9999.0,25.66,-99999.0,25.66,-9999.0,293.5,6.5 +547,2020-07-01 12:00:00+00:00,-9999.0,37.361,37.37,-9999.0,25.7,-99999.0,25.7,-9999.0,225.39999,5.2 +548,2020-07-02 12:00:00+00:00,-9999.0,37.386,37.395,-9999.0,25.83,-99999.0,25.82,-9999.0,169.39999,4.5 +549,2020-07-03 12:00:00+00:00,-9999.0,37.361,37.371,-9999.0,25.76,-99999.0,25.75,-9999.0,212.3,3.1 +550,2020-07-04 12:00:00+00:00,-9999.0,37.413,37.426,-9999.0,25.98,-99999.0,25.97,-9999.0,322.0,1.1 +551,2020-07-05 12:00:00+00:00,-9999.0,37.416,37.43,-9999.0,26.01,-99999.0,26.02,-9999.0,324.29999,6.0 +552,2020-07-06 12:00:00+00:00,-9999.0,37.424,37.433,-9999.0,26.02,-99999.0,26.02,-9999.0,287.60001,4.9 +553,2020-07-07 12:00:00+00:00,-9999.0,37.42,37.427,-9999.0,25.96,-99999.0,25.96,-9999.0,299.10001,5.1 +554,2020-07-08 12:00:00+00:00,-9999.0,37.413,37.42,-9999.0,25.9,-99999.0,25.89,-9999.0,289.60001,5.9 +555,2020-07-09 12:00:00+00:00,-9999.0,37.409,37.415,-9999.0,25.86,-99999.0,25.86,-9999.0,275.70001,5.0 +556,2020-07-10 12:00:00+00:00,-9999.0,37.401,37.408,-9999.0,25.84,-99999.0,25.84,-9999.0,329.70001,2.1 +557,2020-07-11 12:00:00+00:00,-9999.0,37.4,37.407,-9999.0,25.84,-99999.0,25.83,-9999.0,320.60001,6.1 +558,2020-07-12 12:00:00+00:00,-9999.0,37.399,37.405,-9999.0,25.8,-99999.0,25.8,-9999.0,289.70001,6.4 +559,2020-07-13 12:00:00+00:00,-9999.0,37.399,37.405,-9999.0,25.77,-99999.0,25.77,-9999.0,260.60001,4.9 +560,2020-07-14 12:00:00+00:00,-9999.0,37.401,37.407,-9999.0,25.77,-99999.0,25.77,-9999.0,231.10001,3.3 +561,2020-07-15 12:00:00+00:00,-9999.0,37.402,37.407,-9999.0,25.77,-99999.0,25.77,-9999.0,2.6,1.2 +562,2020-07-16 12:00:00+00:00,-9999.0,37.399,37.405,-9999.0,25.72,-99999.0,25.73,-9999.0,341.60001,8.2 +563,2020-07-17 12:00:00+00:00,-9999.0,37.393,37.397,-9999.0,25.61,-99999.0,25.61,-9999.0,315.70001,5.8 +564,2020-07-18 12:00:00+00:00,-9999.0,37.393,37.398,-9999.0,25.55,-99999.0,25.56,-9999.0,317.10001,7.4 +565,2020-07-19 12:00:00+00:00,-9999.0,37.386,37.39,-9999.0,25.46,-99999.0,25.46,-9999.0,310.5,9.2 +566,2020-07-20 12:00:00+00:00,-9999.0,37.376,37.378,-9999.0,25.37,-99999.0,25.38,-9999.0,298.20001,7.8 +567,2020-07-21 12:00:00+00:00,-9999.0,37.372,37.374,-9999.0,25.32,-99999.0,25.33,-9999.0,292.60001,5.3 +568,2020-07-22 12:00:00+00:00,-9999.0,37.372,37.373,-9999.0,25.32,-99999.0,25.31,-9999.0,305.5,4.1 +569,2020-07-23 12:00:00+00:00,-9999.0,37.374,37.374,-9999.0,25.33,-99999.0,25.33,-9999.0,320.10001,5.9 +570,2020-07-24 12:00:00+00:00,-9999.0,37.379,37.379,-9999.0,25.34,-99999.0,25.34,-9999.0,314.20001,6.5 +571,2020-07-25 12:00:00+00:00,-9999.0,37.379,37.381,-9999.0,25.33,-99999.0,25.33,-9999.0,305.29999,8.5 +572,2020-07-26 12:00:00+00:00,-9999.0,37.378,37.379,-9999.0,25.29,-99999.0,25.3,-9999.0,297.10001,6.7 +573,2020-07-27 12:00:00+00:00,-9999.0,37.381,37.382,-9999.0,25.28,-99999.0,25.29,-9999.0,299.10001,7.0 +574,2020-07-28 12:00:00+00:00,-9999.0,37.381,37.379,-9999.0,25.26,-99999.0,25.26,-9999.0,271.70001,6.0 +575,2020-07-29 12:00:00+00:00,-9999.0,37.383,37.379,-9999.0,25.24,-99999.0,25.23,-9999.0,272.60001,4.6 +576,2020-07-30 12:00:00+00:00,-9999.0,37.383,37.383,-9999.0,25.22,-99999.0,25.23,-9999.0,316.20001,5.4 +577,2020-07-31 12:00:00+00:00,-9999.0,37.38,37.378,-9999.0,25.19,-99999.0,25.19,-9999.0,329.10001,8.2 +578,2020-08-01 12:00:00+00:00,-9999.0,37.381,37.38,-9999.0,25.14,-99999.0,25.14,-9999.0,326.29999,8.3 +579,2020-08-02 12:00:00+00:00,-9999.0,37.378,37.377,-9999.0,25.09,-99999.0,25.1,-9999.0,327.70001,8.2 +580,2020-08-03 12:00:00+00:00,-9999.0,37.374,37.37,-9999.0,25.03,-99999.0,25.04,-9999.0,330.39999,8.2 +581,2020-08-04 12:00:00+00:00,-9999.0,37.37,37.368,-9999.0,24.96,-99999.0,24.97,-9999.0,332.0,8.6 +582,2020-08-05 12:00:00+00:00,-9999.0,37.368,37.363,-9999.0,24.9,-99999.0,24.91,-9999.0,332.10001,8.7 +583,2020-08-06 12:00:00+00:00,-9999.0,37.368,37.363,-9999.0,24.87,-99999.0,24.88,-9999.0,323.29999,8.2 +584,2020-08-07 12:00:00+00:00,-9999.0,37.362,37.356,-9999.0,24.83,-99999.0,24.84,-9999.0,308.79999,7.8 +585,2020-08-08 12:00:00+00:00,-9999.0,37.358,37.352,-9999.0,24.81,-99999.0,24.81,-9999.0,311.70001,6.8 +586,2020-08-09 12:00:00+00:00,-9999.0,37.36,37.353,-9999.0,24.79,-99999.0,24.8,-9999.0,309.39999,7.6 +587,2020-08-10 12:00:00+00:00,-9999.0,37.361,37.355,-9999.0,24.76,-99999.0,24.76,-9999.0,299.79999,6.5 +588,2020-08-11 12:00:00+00:00,-9999.0,37.333,37.324,-9999.0,24.66,-99999.0,24.65,-9999.0,280.79999,5.7 +589,2020-08-12 12:00:00+00:00,-9999.0,37.312,37.305,-9999.0,24.57,-99999.0,24.57,-9999.0,287.20001,6.4 +590,2020-08-13 12:00:00+00:00,-9999.0,37.311,37.303,-9999.0,24.55,-99999.0,24.55,-9999.0,288.5,6.5 +591,2020-08-14 12:00:00+00:00,-9999.0,37.316,37.31,-9999.0,24.57,-99999.0,24.57,-9999.0,284.89999,6.7 +592,2020-08-15 12:00:00+00:00,-9999.0,37.329,37.321,-9999.0,24.6,-99999.0,24.6,-9999.0,272.60001,7.2 +593,2020-08-16 12:00:00+00:00,-9999.0,37.317,37.307,-9999.0,24.59,-99999.0,24.57,-9999.0,267.39999,6.1 +594,2020-08-17 12:00:00+00:00,-9999.0,-9999.0,37.301,-9999.0,-9999.0,-99999.0,24.56,-9999.0,278.0,5.7 +595,2020-08-18 12:00:00+00:00,-9999.0,37.313,37.302,-9999.0,24.58,-99999.0,24.57,-9999.0,279.20001,6.3 +596,2020-08-19 12:00:00+00:00,-9999.0,37.314,37.304,-9999.0,24.58,-99999.0,24.57,-9999.0,268.89999,5.7 +597,2020-08-20 12:00:00+00:00,-9999.0,37.32,37.312,-9999.0,24.6,-99999.0,24.59,-9999.0,258.29999,4.8 +598,2020-08-21 12:00:00+00:00,-9999.0,37.324,37.315,-9999.0,24.61,-99999.0,24.6,-9999.0,287.60001,2.6 +599,2020-08-22 12:00:00+00:00,-9999.0,37.329,37.319,-9999.0,24.64,-99999.0,24.64,-9999.0,227.60001,1.5 +600,2020-08-23 12:00:00+00:00,-9999.0,37.325,-9999.0,-9999.0,24.64,-99999.0,-9999.0,-9999.0,2.6,0.8 +601,2020-08-24 12:00:00+00:00,-9999.0,37.214,37.205,-9999.0,24.25,-99999.0,24.26,-9999.0,18.9,7.9 +602,2020-08-25 12:00:00+00:00,-9999.0,37.228,37.218,-9999.0,24.23,-99999.0,24.24,-9999.0,33.1,8.1 +603,2020-08-26 12:00:00+00:00,-9999.0,37.235,37.22,-9999.0,24.24,-99999.0,24.23,-9999.0,42.0,4.1 +604,2020-08-27 12:00:00+00:00,-9999.0,37.269,37.255,-9999.0,24.4,-99999.0,24.37,-9999.0,276.60001,5.2 +605,2020-08-28 12:00:00+00:00,-9999.0,37.271,37.258,-9999.0,24.39,-99999.0,24.38,-9999.0,289.70001,6.4 +606,2020-08-29 12:00:00+00:00,-9999.0,37.281,-9999.0,-9999.0,24.44,-99999.0,-9999.0,-9999.0,281.5,6.9 +607,2020-08-30 12:00:00+00:00,-9999.0,37.289,-9999.0,-9999.0,24.49,-99999.0,-9999.0,-9999.0,282.20001,6.5 +608,2020-08-31 12:00:00+00:00,-9999.0,37.305,-9999.0,-9999.0,24.54,-99999.0,-9999.0,-9999.0,286.39999,5.3 +609,2020-09-01 12:00:00+00:00,-9999.0,37.32,-9999.0,-9999.0,24.58,-99999.0,-9999.0,-9999.0,311.89999,6.4 +610,2020-09-02 12:00:00+00:00,-9999.0,37.332,-9999.0,-9999.0,24.59,-99999.0,-9999.0,-9999.0,318.10001,7.2 +611,2020-09-03 12:00:00+00:00,-9999.0,37.33,-9999.0,-9999.0,24.57,-99999.0,-9999.0,-9999.0,297.29999,6.4 +612,2020-09-04 12:00:00+00:00,-9999.0,37.336,-9999.0,-9999.0,24.61,-99999.0,-9999.0,-9999.0,282.89999,6.0 +613,2020-09-05 12:00:00+00:00,-9999.0,37.337,-9999.0,-9999.0,24.63,-99999.0,-9999.0,-9999.0,296.70001,5.8 +614,2020-09-06 12:00:00+00:00,-9999.0,37.327,-9999.0,-9999.0,24.6,-99999.0,-9999.0,-9999.0,297.89999,5.9 +615,2020-09-07 12:00:00+00:00,-9999.0,37.33,-9999.0,-9999.0,24.61,-99999.0,-9999.0,-9999.0,287.79999,5.2 +616,2020-09-08 12:00:00+00:00,-9999.0,37.337,-9999.0,-9999.0,24.63,-99999.0,-9999.0,-9999.0,280.29999,5.4 +617,2020-09-09 12:00:00+00:00,-9999.0,37.341,-9999.0,-9999.0,24.65,-99999.0,-9999.0,-9999.0,281.0,5.0 +618,2020-09-10 12:00:00+00:00,-9999.0,37.344,-9999.0,-9999.0,24.66,-99999.0,-9999.0,-9999.0,284.39999,6.2 +619,2020-09-11 12:00:00+00:00,-9999.0,37.345,-9999.0,-9999.0,24.66,-99999.0,-9999.0,-9999.0,278.0,5.7 +620,2020-09-12 12:00:00+00:00,-9999.0,37.35,-9999.0,-9999.0,24.7,-99999.0,-9999.0,-9999.0,299.5,6.7 +621,2020-09-13 12:00:00+00:00,-9999.0,37.346,-9999.0,-9999.0,24.67,-99999.0,-9999.0,-9999.0,288.89999,7.6 +622,2020-09-14 12:00:00+00:00,-9999.0,37.336,-9999.0,-9999.0,24.64,-99999.0,-9999.0,-9999.0,287.5,7.0 +623,2020-09-15 12:00:00+00:00,-9999.0,37.325,-9999.0,-9999.0,24.61,-99999.0,-9999.0,-9999.0,279.70001,3.1 +624,2020-09-16 12:00:00+00:00,-9999.0,37.32,-9999.0,-9999.0,24.63,-99999.0,-9999.0,-9999.0,314.60001,5.0 +625,2020-09-17 12:00:00+00:00,-9999.0,37.323,-9999.0,-9999.0,24.63,-99999.0,-9999.0,-9999.0,282.39999,4.8 +626,2020-09-18 12:00:00+00:00,-9999.0,37.324,-9999.0,-9999.0,24.66,-99999.0,-9999.0,-9999.0,263.70001,5.3 +627,2020-09-19 12:00:00+00:00,-9999.0,37.326,-9999.0,-9999.0,24.68,-99999.0,-9999.0,-9999.0,260.5,6.4 +628,2020-09-20 12:00:00+00:00,-9999.0,37.33,-9999.0,-9999.0,24.7,-99999.0,-9999.0,-9999.0,251.89999,5.9 +629,2020-09-21 12:00:00+00:00,-9999.0,37.344,-9999.0,-9999.0,24.77,-99999.0,-9999.0,-9999.0,266.0,4.8 +630,2020-09-22 12:00:00+00:00,-9999.0,37.352,-9999.0,-9999.0,24.84,-99999.0,-9999.0,-9999.0,258.5,3.9 +631,2020-09-23 12:00:00+00:00,-9999.0,37.349,-9999.0,-9999.0,24.84,-99999.0,-9999.0,-9999.0,297.70001,5.0 +632,2020-09-24 12:00:00+00:00,-9999.0,37.346,-9999.0,-9999.0,24.82,-99999.0,-9999.0,-9999.0,302.29999,5.2 +633,2020-09-25 12:00:00+00:00,-9999.0,37.344,-9999.0,-9999.0,24.83,-99999.0,-9999.0,-9999.0,292.70001,4.8 +634,2020-09-26 12:00:00+00:00,-9999.0,37.355,-9999.0,-9999.0,24.91,-99999.0,-9999.0,-9999.0,281.20001,4.3 +635,2020-09-27 12:00:00+00:00,-9999.0,37.36,-9999.0,-9999.0,24.98,-99999.0,-9999.0,-9999.0,265.79999,5.4 +636,2020-09-28 12:00:00+00:00,-9999.0,37.359,-9999.0,-9999.0,24.97,-99999.0,-9999.0,-9999.0,248.3,5.1 +637,2020-09-29 12:00:00+00:00,-9999.0,37.368,-9999.0,-9999.0,25.03,-99999.0,-9999.0,-9999.0,253.8,4.6 +638,2020-09-30 12:00:00+00:00,-9999.0,37.365,-9999.0,-9999.0,25.08,-99999.0,-9999.0,-9999.0,285.10001,4.3 +639,2020-10-01 12:00:00+00:00,-9999.0,37.373,-9999.0,-9999.0,25.13,-99999.0,-9999.0,-9999.0,279.70001,5.2 +640,2020-10-02 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,261.60001,5.3 +641,2020-10-03 12:00:00+00:00,-9999.0,37.382,-9999.0,-9999.0,25.14,-99999.0,-9999.0,-9999.0,230.10001,4.5 +642,2020-10-04 12:00:00+00:00,-9999.0,37.386,-9999.0,-9999.0,25.17,-99999.0,-9999.0,-9999.0,222.8,1.8 +643,2020-10-05 12:00:00+00:00,-9999.0,37.389,-9999.0,-9999.0,25.23,-99999.0,-9999.0,-9999.0,321.10001,3.3 +644,2020-10-06 12:00:00+00:00,-9999.0,37.402,-9999.0,-9999.0,25.33,-99999.0,-9999.0,-9999.0,271.79999,6.9 +645,2020-10-07 12:00:00+00:00,-9999.0,37.414,-9999.0,-9999.0,25.39,-99999.0,-9999.0,-9999.0,201.0,5.2 +646,2020-10-08 12:00:00+00:00,-9999.0,37.414,-9999.0,-9999.0,25.44,-99999.0,-9999.0,-9999.0,182.60001,5.0 +647,2020-10-09 12:00:00+00:00,-9999.0,37.4,-9999.0,-9999.0,25.47,-99999.0,-9999.0,-9999.0,181.7,6.0 +648,2020-10-10 12:00:00+00:00,-9999.0,37.39,-9999.0,-9999.0,25.42,-99999.0,-9999.0,-9999.0,186.10001,7.2 +649,2020-10-11 12:00:00+00:00,-9999.0,37.373,-9999.0,-9999.0,25.36,-99999.0,-9999.0,-9999.0,161.7,2.2 +650,2020-10-12 12:00:00+00:00,-9999.0,37.369,-9999.0,-9999.0,25.26,-99999.0,-9999.0,-9999.0,334.60001,8.0 +651,2020-10-13 12:00:00+00:00,-9999.0,37.368,-9999.0,-9999.0,25.21,-99999.0,-9999.0,-9999.0,311.89999,8.3 +652,2020-10-14 12:00:00+00:00,-9999.0,37.37,-9999.0,-9999.0,25.22,-99999.0,-9999.0,-9999.0,248.60001,4.5 +653,2020-10-15 12:00:00+00:00,-9999.0,37.366,-9999.0,-9999.0,25.18,-99999.0,-9999.0,-9999.0,207.0,5.5 +654,2020-10-16 12:00:00+00:00,-9999.0,37.373,-9999.0,-9999.0,25.28,-99999.0,-9999.0,-9999.0,170.0,2.7 +655,2020-10-17 12:00:00+00:00,-9999.0,37.383,-9999.0,-9999.0,25.35,-99999.0,-9999.0,-9999.0,0.9,6.2 +656,2020-10-18 12:00:00+00:00,-9999.0,37.399,-9999.0,-9999.0,25.4,-99999.0,-9999.0,-9999.0,325.29999,7.5 +657,2020-10-19 12:00:00+00:00,-9999.0,37.402,-9999.0,-9999.0,25.4,-99999.0,-9999.0,-9999.0,310.79999,7.5 +658,2020-10-20 12:00:00+00:00,-9999.0,37.408,-9999.0,-9999.0,25.46,-99999.0,-9999.0,-9999.0,236.5,6.1 +659,2020-10-21 12:00:00+00:00,-9999.0,37.412,-9999.0,-9999.0,25.54,-99999.0,-9999.0,-9999.0,267.79999,4.4 +660,2020-10-22 12:00:00+00:00,-9999.0,37.411,-9999.0,-9999.0,25.69,-99999.0,-9999.0,-9999.0,284.70001,2.8 +661,2020-10-23 12:00:00+00:00,-9999.0,37.414,-9999.0,-9999.0,25.72,-99999.0,-9999.0,-9999.0,313.10001,5.7 +662,2020-10-24 12:00:00+00:00,-9999.0,37.417,-9999.0,-9999.0,25.82,-99999.0,-9999.0,-9999.0,277.60001,6.2 +663,2020-10-25 12:00:00+00:00,-9999.0,37.417,-9999.0,-9999.0,25.79,-99999.0,-9999.0,-9999.0,235.39999,6.5 +664,2020-10-26 12:00:00+00:00,-9999.0,37.412,-9999.0,-9999.0,25.78,-99999.0,-9999.0,-9999.0,197.60001,9.5 +665,2020-10-27 12:00:00+00:00,-9999.0,37.353,-9999.0,-9999.0,25.65,-99999.0,-9999.0,-9999.0,212.3,7.2 +666,2020-10-28 12:00:00+00:00,-9999.0,37.323,-9999.0,-9999.0,25.62,-99999.0,-9999.0,-9999.0,237.2,9.0 +667,2020-10-29 12:00:00+00:00,-9999.0,37.334,-9999.0,-9999.0,25.6,-99999.0,-9999.0,-9999.0,243.10001,7.8 +668,2020-10-30 12:00:00+00:00,-9999.0,37.322,-9999.0,-9999.0,25.68,-99999.0,-9999.0,-9999.0,255.7,7.1 +669,2020-10-31 12:00:00+00:00,-9999.0,37.337,-9999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0 +670,2020-11-01 12:00:00+00:00,-9999.0,37.349,-9999.0,-9999.0,25.67,-99999.0,-9999.0,-9999.0,195.2,7.0 +671,2020-11-02 12:00:00+00:00,-9999.0,37.329,-9999.0,-9999.0,25.55,-99999.0,-9999.0,-9999.0,7.0,7.0 +672,2020-11-03 12:00:00+00:00,-9999.0,37.316,-9999.0,-9999.0,25.51,-99999.0,-9999.0,-9999.0,339.20001,7.2 +673,2020-11-04 12:00:00+00:00,-9999.0,37.265,-9999.0,-9999.0,25.41,-99999.0,-9999.0,-9999.0,319.89999,7.9 +674,2020-11-05 12:00:00+00:00,-9999.0,37.208,-9999.0,-9999.0,25.33,-99999.0,-9999.0,-9999.0,326.79999,7.5 +675,2020-11-06 12:00:00+00:00,-9999.0,37.194,-9999.0,-9999.0,25.31,-99999.0,-9999.0,-9999.0,291.0,4.1 +676,2020-11-07 12:00:00+00:00,-9999.0,37.199,-9999.0,-9999.0,25.39,-99999.0,-9999.0,-9999.0,248.60001,4.5 +677,2020-11-08 12:00:00+00:00,-9999.0,37.208,-9999.0,-9999.0,25.56,-99999.0,-9999.0,-9999.0,243.7,5.1 +678,2020-11-09 12:00:00+00:00,-9999.0,37.196,-9999.0,-9999.0,25.57,-99999.0,-9999.0,-9999.0,250.8,4.9 +679,2020-11-10 12:00:00+00:00,-9999.0,37.183,-9999.0,-9999.0,25.66,-99999.0,-9999.0,-9999.0,252.8,5.1 +680,2020-11-11 12:00:00+00:00,-9999.0,37.191,-9999.0,-9999.0,25.72,-99999.0,-9999.0,-9999.0,269.79999,5.5 +681,2020-11-12 12:00:00+00:00,-9999.0,37.194,-9999.0,-9999.0,25.74,-99999.0,-9999.0,-9999.0,243.60001,4.9 +682,2020-11-13 12:00:00+00:00,-9999.0,37.202,-9999.0,-9999.0,25.74,-99999.0,-9999.0,-9999.0,240.60001,6.5 +683,2020-11-14 12:00:00+00:00,-9999.0,37.211,-9999.0,-9999.0,25.77,-99999.0,-9999.0,-9999.0,227.0,6.8 +684,2020-11-15 12:00:00+00:00,-9999.0,37.23,-9999.0,-9999.0,25.87,-99999.0,-9999.0,-9999.0,185.2,5.8 +685,2020-11-16 12:00:00+00:00,-9999.0,37.249,-9999.0,-9999.0,25.93,-99999.0,-9999.0,-9999.0,182.60001,6.7 +686,2020-11-17 12:00:00+00:00,-9999.0,37.258,-9999.0,-9999.0,25.94,-99999.0,-9999.0,-9999.0,196.89999,7.9 +687,2020-11-18 12:00:00+00:00,-9999.0,37.257,-9999.0,-9999.0,25.99,-99999.0,-9999.0,-9999.0,188.0,7.5 +688,2020-11-19 12:00:00+00:00,-9999.0,37.259,-9999.0,-9999.0,26.06,-99999.0,-9999.0,-9999.0,210.10001,7.2 +689,2020-11-20 12:00:00+00:00,-9999.0,37.264,-9999.0,-9999.0,26.07,-99999.0,-9999.0,-9999.0,204.7,8.7 +690,2020-11-21 12:00:00+00:00,-9999.0,37.273,-9999.0,-9999.0,26.06,-99999.0,-9999.0,-9999.0,204.10001,7.8 +691,2020-11-22 12:00:00+00:00,-9999.0,37.273,-9999.0,-9999.0,26.08,-99999.0,-9999.0,-9999.0,243.5,4.7 +692,2020-11-23 12:00:00+00:00,-9999.0,37.265,-9999.0,-9999.0,26.11,-99999.0,-9999.0,-9999.0,298.10001,4.7 +693,2020-11-24 12:00:00+00:00,-9999.0,37.263,-9999.0,-9999.0,26.18,-99999.0,-9999.0,-9999.0,301.20001,5.7 +694,2020-11-25 12:00:00+00:00,-9999.0,37.286,-9999.0,-9999.0,26.15,-99999.0,-9999.0,-9999.0,306.5,6.9 +695,2020-11-26 12:00:00+00:00,-9999.0,37.31,-9999.0,-9999.0,26.15,-99999.0,-9999.0,-9999.0,294.60001,6.7 +696,2020-11-27 12:00:00+00:00,-9999.0,37.308,-9999.0,-9999.0,26.15,-99999.0,-9999.0,-9999.0,284.89999,6.7 +697,2020-11-28 12:00:00+00:00,-9999.0,37.304,-9999.0,-9999.0,26.16,-99999.0,-9999.0,-9999.0,292.0,7.8 +698,2020-11-29 12:00:00+00:00,-9999.0,37.296,-9999.0,-9999.0,26.16,-99999.0,-9999.0,-9999.0,289.89999,7.2 +699,2020-11-30 12:00:00+00:00,-9999.0,37.297,-9999.0,-9999.0,26.14,-99999.0,-9999.0,-9999.0,263.20001,6.1 +700,2020-12-01 12:00:00+00:00,-9999.0,37.308,-9999.0,-9999.0,26.14,-99999.0,-9999.0,-9999.0,236.2,5.9 +701,2020-12-02 12:00:00+00:00,-9999.0,37.317,-9999.0,-9999.0,26.2,-99999.0,-9999.0,-9999.0,222.2,5.5 +702,2020-12-03 12:00:00+00:00,-9999.0,37.305,-9999.0,-9999.0,26.26,-99999.0,-9999.0,-9999.0,223.8,5.9 +703,2020-12-04 12:00:00+00:00,-9999.0,37.303,-9999.0,-9999.0,26.3,-99999.0,-9999.0,-9999.0,235.10001,6.3 +704,2020-12-05 12:00:00+00:00,-9999.0,37.302,-9999.0,-9999.0,26.34,-99999.0,-9999.0,-9999.0,252.3,5.5 +705,2020-12-06 12:00:00+00:00,-9999.0,37.304,-9999.0,-9999.0,26.36,-99999.0,-9999.0,-9999.0,265.20001,5.0 +706,2020-12-07 12:00:00+00:00,-9999.0,37.316,-9999.0,-9999.0,26.37,-99999.0,-9999.0,-9999.0,258.10001,5.8 +707,2020-12-08 12:00:00+00:00,-9999.0,37.322,-9999.0,-9999.0,26.37,-99999.0,-9999.0,-9999.0,238.7,6.3 +708,2020-12-09 12:00:00+00:00,-9999.0,37.325,-9999.0,-9999.0,26.37,-99999.0,-9999.0,-9999.0,214.2,6.8 +709,2020-12-10 12:00:00+00:00,-9999.0,37.326,-9999.0,-9999.0,26.42,-99999.0,-9999.0,-9999.0,211.39999,7.0 +710,2020-12-11 12:00:00+00:00,-9999.0,37.327,-9999.0,-9999.0,26.45,-99999.0,-9999.0,-9999.0,227.60001,6.4 +711,2020-12-12 12:00:00+00:00,-9999.0,37.329,-9999.0,-9999.0,26.51,-99999.0,-9999.0,-9999.0,263.10001,5.5 +712,2020-12-13 12:00:00+00:00,-9999.0,37.338,-9999.0,-9999.0,26.64,-99999.0,-9999.0,-9999.0,273.60001,5.3 +713,2020-12-14 12:00:00+00:00,-9999.0,37.352,-9999.0,-9999.0,26.74,-99999.0,-9999.0,-9999.0,260.5,6.4 +714,2020-12-15 12:00:00+00:00,-9999.0,37.353,-9999.0,-9999.0,26.73,-99999.0,-9999.0,-9999.0,260.0,5.8 +715,2020-12-16 12:00:00+00:00,-9999.0,37.379,-9999.0,-9999.0,26.85,-99999.0,-9999.0,-9999.0,264.39999,7.0 +716,2020-12-17 12:00:00+00:00,-9999.0,37.368,-9999.0,-9999.0,27.02,-99999.0,-9999.0,-9999.0,263.39999,7.3 +717,2020-12-18 12:00:00+00:00,-9999.0,37.317,-9999.0,-9999.0,27.15,-99999.0,-9999.0,-9999.0,254.39999,6.9 +718,2020-12-19 12:00:00+00:00,-9999.0,37.332,-9999.0,-9999.0,27.13,-99999.0,-9999.0,-9999.0,233.3,6.4 +719,2020-12-20 12:00:00+00:00,-9999.0,37.384,-9999.0,-9999.0,27.03,-99999.0,-9999.0,-9999.0,231.60001,7.2 +720,2020-12-21 12:00:00+00:00,-9999.0,37.385,-9999.0,-9999.0,27.0,-99999.0,-9999.0,-9999.0,242.3,6.3 +721,2020-12-22 12:00:00+00:00,-9999.0,37.341,-9999.0,-9999.0,27.08,-99999.0,-9999.0,-9999.0,203.89999,5.7 +722,2020-12-23 12:00:00+00:00,-9999.0,37.286,-9999.0,-9999.0,27.23,-99999.0,-9999.0,-9999.0,223.8,5.9 +723,2020-12-24 12:00:00+00:00,-9999.0,37.286,-9999.0,-9999.0,27.3,-99999.0,-9999.0,-9999.0,243.8,5.3 +724,2020-12-25 12:00:00+00:00,-9999.0,37.281,-9999.0,-9999.0,27.34,-99999.0,-9999.0,-9999.0,239.3,6.9 +725,2020-12-26 12:00:00+00:00,-9999.0,37.263,-9999.0,-9999.0,27.35,-99999.0,-9999.0,-9999.0,247.60001,7.0 +726,2020-12-27 12:00:00+00:00,-9999.0,37.251,-9999.0,-9999.0,27.38,-99999.0,-9999.0,-9999.0,262.20001,6.5 +727,2020-12-28 12:00:00+00:00,-9999.0,37.258,-9999.0,-9999.0,27.35,-99999.0,-9999.0,-9999.0,280.20001,6.1 +728,2020-12-29 12:00:00+00:00,-9999.0,37.27,-9999.0,-9999.0,27.33,-99999.0,-9999.0,-9999.0,274.0,7.2 +729,2020-12-30 12:00:00+00:00,-9999.0,37.256,-9999.0,-9999.0,27.36,-99999.0,-9999.0,-9999.0,249.8,6.1 +730,2020-12-31 12:00:00+00:00,-9999.0,37.261,-9999.0,-9999.0,27.35,-99999.0,-9999.0,-9999.0,243.89999,5.7 +731,2021-01-01 12:00:00+00:00,-9999.0,37.269,-9999.0,-9999.0,27.36,-99999.0,-9999.0,-9999.0,242.2,6.1 +732,2021-01-02 12:00:00+00:00,-9999.0,37.272,-9999.0,-9999.0,27.35,-99999.0,-9999.0,-9999.0,241.60001,5.3 +733,2021-01-03 12:00:00+00:00,-9999.0,37.274,-9999.0,-9999.0,27.38,-99999.0,-9999.0,-9999.0,240.60001,6.5 +734,2021-01-04 12:00:00+00:00,-9999.0,37.257,-9999.0,-9999.0,27.35,-99999.0,-9999.0,-9999.0,259.70001,7.6 +735,2021-01-05 12:00:00+00:00,-9999.0,37.254,-9999.0,-9999.0,27.34,-99999.0,-9999.0,-9999.0,261.10001,5.5 +736,2021-01-06 12:00:00+00:00,-9999.0,37.259,-9999.0,-9999.0,27.36,-99999.0,-9999.0,-9999.0,250.8,4.9 +737,2021-01-07 12:00:00+00:00,-9999.0,37.266,-9999.0,-9999.0,27.39,-99999.0,-9999.0,-9999.0,241.89999,5.7 +738,2021-01-08 12:00:00+00:00,-9999.0,37.274,-9999.0,-9999.0,27.39,-99999.0,-9999.0,-9999.0,234.3,6.0 +739,2021-01-09 12:00:00+00:00,-9999.0,37.292,-9999.0,-9999.0,27.4,-99999.0,-9999.0,-9999.0,232.0,5.8 +740,2021-01-10 12:00:00+00:00,-9999.0,37.303,-9999.0,-9999.0,27.43,-99999.0,-9999.0,-9999.0,254.39999,5.5 +741,2021-01-11 12:00:00+00:00,-9999.0,37.319,-9999.0,-9999.0,27.49,-99999.0,-9999.0,-9999.0,267.0,5.6 +742,2021-01-12 12:00:00+00:00,-9999.0,37.307,-9999.0,-9999.0,27.48,-99999.0,-9999.0,-9999.0,260.60001,4.9 +743,2021-01-13 12:00:00+00:00,-9999.0,37.316,-9999.0,-9999.0,27.5,-99999.0,-9999.0,-9999.0,269.39999,6.6 +744,2021-01-14 12:00:00+00:00,-9999.0,37.349,-9999.0,-9999.0,27.56,-99999.0,-9999.0,-9999.0,253.60001,6.1 +745,2021-01-15 12:00:00+00:00,-9999.0,37.373,-9999.0,-9999.0,27.6,-99999.0,-9999.0,-9999.0,268.79999,6.7 +746,2021-01-16 12:00:00+00:00,-9999.0,37.362,-9999.0,-9999.0,27.55,-99999.0,-9999.0,-9999.0,276.10001,7.2 +747,2021-01-17 12:00:00+00:00,-9999.0,37.351,-9999.0,-9999.0,27.58,-99999.0,-9999.0,-9999.0,284.70001,5.2 +748,2021-01-18 12:00:00+00:00,-9999.0,37.356,-9999.0,-9999.0,27.56,-99999.0,-9999.0,-9999.0,256.89999,5.4 +749,2021-01-19 12:00:00+00:00,-9999.0,37.373,-9999.0,-9999.0,27.68,-99999.0,-9999.0,-9999.0,265.10001,5.6 +750,2021-01-20 12:00:00+00:00,-9999.0,37.376,-9999.0,-9999.0,27.63,-99999.0,-9999.0,-9999.0,267.79999,4.4 +751,2021-01-21 12:00:00+00:00,-9999.0,37.378,-9999.0,-9999.0,27.61,-99999.0,-9999.0,-9999.0,266.89999,4.6 +752,2021-01-22 12:00:00+00:00,-9999.0,37.456,-9999.0,-9999.0,27.66,-99999.0,-9999.0,-9999.0,288.29999,6.0 +753,2021-01-23 12:00:00+00:00,-9999.0,37.446,-9999.0,-9999.0,27.53,-99999.0,-9999.0,-9999.0,287.0,6.1 +754,2021-01-24 12:00:00+00:00,-9999.0,37.415,-9999.0,-9999.0,27.56,-99999.0,-9999.0,-9999.0,277.0,5.9 +755,2021-01-25 12:00:00+00:00,-9999.0,37.39,-9999.0,-9999.0,27.59,-99999.0,-9999.0,-9999.0,263.20001,6.1 +756,2021-01-26 12:00:00+00:00,-9999.0,37.412,-9999.0,-9999.0,27.53,-99999.0,-9999.0,-9999.0,275.70001,6.5 +757,2021-01-27 12:00:00+00:00,-9999.0,37.424,-9999.0,-9999.0,27.57,-99999.0,-9999.0,-9999.0,278.0,5.7 +758,2021-01-28 12:00:00+00:00,-9999.0,37.376,-9999.0,-9999.0,27.74,-99999.0,-9999.0,-9999.0,261.60001,5.3 +759,2021-01-29 12:00:00+00:00,-9999.0,37.377,-9999.0,-9999.0,27.8,-99999.0,-9999.0,-9999.0,263.20001,6.1 +760,2021-01-30 12:00:00+00:00,-9999.0,37.346,-9999.0,-9999.0,27.91,-99999.0,-9999.0,-9999.0,263.20001,6.1 +761,2021-01-31 12:00:00+00:00,-9999.0,37.346,-9999.0,-9999.0,27.98,-99999.0,-9999.0,-9999.0,267.0,5.6 +762,2021-02-01 12:00:00+00:00,-9999.0,37.31,-9999.0,-9999.0,27.94,-99999.0,-9999.0,-9999.0,274.29999,6.0 +763,2021-02-02 12:00:00+00:00,-9999.0,37.3,-9999.0,-9999.0,27.88,-99999.0,-9999.0,-9999.0,259.60001,6.8 +764,2021-02-03 12:00:00+00:00,-9999.0,37.304,-9999.0,-9999.0,27.86,-99999.0,-9999.0,-9999.0,261.89999,4.5 +765,2021-02-04 12:00:00+00:00,-9999.0,37.299,-9999.0,-9999.0,27.84,-99999.0,-9999.0,-9999.0,243.7,5.1 +766,2021-02-05 12:00:00+00:00,-9999.0,37.286,-9999.0,-9999.0,27.79,-99999.0,-9999.0,-9999.0,194.89999,6.7 +767,2021-02-06 12:00:00+00:00,-9999.0,37.293,-9999.0,-9999.0,27.82,-99999.0,-9999.0,-9999.0,195.5,8.7 +768,2021-02-07 12:00:00+00:00,-9999.0,37.298,-9999.0,-9999.0,27.87,-99999.0,-9999.0,-9999.0,193.2,6.3 +769,2021-02-08 12:00:00+00:00,-9999.0,37.328,-9999.0,-9999.0,27.9,-99999.0,-9999.0,-9999.0,226.2,5.4 +770,2021-02-09 12:00:00+00:00,-9999.0,37.329,-9999.0,-9999.0,27.95,-99999.0,-9999.0,-9999.0,237.5,4.2 +771,2021-02-10 12:00:00+00:00,-9999.0,37.331,-9999.0,-9999.0,27.95,-99999.0,-9999.0,-9999.0,252.3,5.5 +772,2021-02-11 12:00:00+00:00,-9999.0,37.352,-9999.0,-9999.0,28.0,-99999.0,-9999.0,-9999.0,268.89999,5.7 +773,2021-02-12 12:00:00+00:00,-9999.0,37.341,-9999.0,-9999.0,27.99,-99999.0,-9999.0,-9999.0,268.60001,5.3 +774,2021-02-13 12:00:00+00:00,-9999.0,37.365,-9999.0,-9999.0,28.02,-99999.0,-9999.0,-9999.0,287.39999,4.7 +775,2021-02-14 12:00:00+00:00,-9999.0,37.392,-9999.0,-9999.0,28.03,-99999.0,-9999.0,-9999.0,263.5,4.1 +776,2021-02-15 12:00:00+00:00,-9999.0,37.41,-9999.0,-9999.0,28.0,-99999.0,-9999.0,-9999.0,225.2,4.6 +777,2021-02-16 12:00:00+00:00,-9999.0,37.443,-9999.0,-9999.0,27.99,-99999.0,-9999.0,-9999.0,201.0,5.5 +778,2021-02-17 12:00:00+00:00,-9999.0,37.467,-9999.0,-9999.0,27.9,-99999.0,-9999.0,-9999.0,193.5,7.5 +779,2021-02-18 12:00:00+00:00,-9999.0,37.459,-9999.0,-9999.0,27.8,-99999.0,-9999.0,-9999.0,214.10001,8.6 +780,2021-02-19 12:00:00+00:00,-9999.0,37.438,-9999.0,-9999.0,27.68,-99999.0,-9999.0,-9999.0,218.10001,7.7 +781,2021-02-20 12:00:00+00:00,-9999.0,37.415,-9999.0,-9999.0,27.64,-99999.0,-9999.0,-9999.0,244.39999,7.0 +782,2021-02-21 12:00:00+00:00,-9999.0,37.422,-9999.0,-9999.0,27.7,-99999.0,-9999.0,-9999.0,240.0,7.6 +783,2021-02-22 12:00:00+00:00,-9999.0,37.424,-9999.0,-9999.0,27.66,-99999.0,-9999.0,-9999.0,253.8,5.9 +784,2021-02-23 12:00:00+00:00,-9999.0,37.432,-9999.0,-9999.0,27.78,-99999.0,-9999.0,-9999.0,240.10001,5.9 +785,2021-02-24 12:00:00+00:00,-9999.0,37.43,-9999.0,-9999.0,27.77,-99999.0,-9999.0,-9999.0,234.7,6.2 +786,2021-02-25 12:00:00+00:00,-9999.0,37.433,-9999.0,-9999.0,27.76,-99999.0,-9999.0,-9999.0,247.89999,6.1 +787,2021-02-26 12:00:00+00:00,-9999.0,37.431,-9999.0,-9999.0,27.69,-99999.0,-9999.0,-9999.0,256.29999,6.7 +788,2021-02-27 12:00:00+00:00,-9999.0,37.43,-9999.0,-9999.0,27.64,-99999.0,-9999.0,-9999.0,284.70001,6.4 +789,2021-02-28 12:00:00+00:00,-9999.0,37.429,-9999.0,-9999.0,27.64,-99999.0,-9999.0,-9999.0,293.29999,7.1 +790,2021-03-01 12:00:00+00:00,-9999.0,37.431,-9999.0,-9999.0,27.61,-99999.0,-9999.0,-9999.0,291.0,6.3 +791,2021-03-02 12:00:00+00:00,-9999.0,37.43,-9999.0,-9999.0,27.63,-99999.0,-9999.0,-9999.0,286.79999,5.9 +792,2021-03-03 12:00:00+00:00,-9999.0,37.429,-9999.0,-9999.0,27.64,-99999.0,-9999.0,-9999.0,291.0,4.4 +793,2021-03-04 12:00:00+00:00,-9999.0,37.438,-9999.0,-9999.0,27.71,-99999.0,-9999.0,-9999.0,294.79999,2.4 +794,2021-03-05 12:00:00+00:00,-9999.0,37.462,-9999.0,-9999.0,27.87,-99999.0,-9999.0,-9999.0,218.10001,4.0 +795,2021-03-06 12:00:00+00:00,-9999.0,37.467,-9999.0,-9999.0,27.91,-99999.0,-9999.0,-9999.0,197.0,6.1 +796,2021-03-07 12:00:00+00:00,-9999.0,37.458,-9999.0,-9999.0,27.87,-99999.0,-9999.0,-9999.0,192.5,5.8 +797,2021-03-08 12:00:00+00:00,-9999.0,37.445,-9999.0,-9999.0,27.9,-99999.0,-9999.0,-9999.0,181.60001,5.2 +798,2021-03-09 12:00:00+00:00,-9999.0,37.459,-9999.0,-9999.0,27.9,-99999.0,-9999.0,-9999.0,163.10001,5.0 +799,2021-03-10 12:00:00+00:00,-9999.0,37.47,-9999.0,-9999.0,27.89,-99999.0,-9999.0,-9999.0,192.0,5.5 +800,2021-03-11 12:00:00+00:00,-9999.0,37.476,-9999.0,-9999.0,27.9,-99999.0,-9999.0,-9999.0,231.3,4.1 +801,2021-03-12 12:00:00+00:00,-9999.0,37.487,-9999.0,-9999.0,27.94,-99999.0,-9999.0,-9999.0,265.39999,3.8 +802,2021-03-13 12:00:00+00:00,-9999.0,37.495,-9999.0,-9999.0,27.99,-99999.0,-9999.0,-9999.0,276.5,4.1 +803,2021-03-14 12:00:00+00:00,-9999.0,37.499,-9999.0,-9999.0,28.02,-99999.0,-9999.0,-9999.0,281.79999,4.6 +804,2021-03-15 12:00:00+00:00,-9999.0,37.517,-9999.0,-9999.0,28.0,-99999.0,-9999.0,-9999.0,286.89999,4.1 +805,2021-03-16 12:00:00+00:00,-9999.0,37.538,-9999.0,-9999.0,28.01,-99999.0,-9999.0,-9999.0,286.39999,5.3 +806,2021-03-17 12:00:00+00:00,-9999.0,37.53,-9999.0,-9999.0,27.96,-99999.0,-9999.0,-9999.0,283.29999,5.4 +807,2021-03-18 12:00:00+00:00,-9999.0,37.439,-9999.0,-9999.0,27.63,-99999.0,-9999.0,-9999.0,269.79999,5.5 +808,2021-03-19 12:00:00+00:00,-9999.0,37.492,-9999.0,-9999.0,27.69,-99999.0,-9999.0,-9999.0,279.70001,5.8 +809,2021-03-20 12:00:00+00:00,-9999.0,37.496,-9999.0,-9999.0,27.74,-99999.0,-9999.0,-9999.0,296.20001,6.3 +810,2021-03-21 12:00:00+00:00,-9999.0,37.433,-9999.0,-9999.0,27.62,-99999.0,-9999.0,-9999.0,297.60001,6.2 +811,2021-03-22 12:00:00+00:00,-9999.0,37.431,-9999.0,-9999.0,27.65,-99999.0,-9999.0,-9999.0,303.29999,3.5 +812,2021-03-23 12:00:00+00:00,-9999.0,37.433,-9999.0,-9999.0,27.73,-99999.0,-9999.0,-9999.0,327.89999,1.7 +813,2021-03-24 12:00:00+00:00,-9999.0,37.476,-9999.0,-9999.0,27.88,-99999.0,-9999.0,-9999.0,319.29999,2.3 +814,2021-03-25 12:00:00+00:00,-9999.0,37.507,-9999.0,-9999.0,28.02,-99999.0,-9999.0,-9999.0,304.0,2.1 +815,2021-03-26 12:00:00+00:00,-9999.0,37.516,-9999.0,-9999.0,28.12,-99999.0,-9999.0,-9999.0,32.3,1.0 +816,2021-03-27 12:00:00+00:00,-9999.0,37.53,-9999.0,-9999.0,28.29,-99999.0,-9999.0,-9999.0,141.10001,3.3 +817,2021-03-28 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12:00:00+00:00,-9999.0,37.539,-9999.0,25.24,25.22,-99999.0,25.26,25.25,236.0,7.0 +1692,2023-08-20 12:00:00+00:00,-9999.0,37.531,-9999.0,25.29,25.25,-99999.0,25.28,25.29,230.60001,6.2 +1693,2023-08-21 12:00:00+00:00,-9999.0,37.52,-9999.0,25.26,25.23,-99999.0,25.27,25.27,224.2,6.6 +1694,2023-08-22 12:00:00+00:00,-9999.0,37.51,-9999.0,25.33,25.18,-99999.0,25.22,25.25,215.89999,4.6 +1695,2023-08-23 12:00:00+00:00,-9999.0,37.482,-9999.0,25.38,25.21,-99999.0,25.24,25.27,236.5,5.1 +1696,2023-08-24 12:00:00+00:00,-9999.0,37.464,-9999.0,25.34,25.26,-99999.0,25.28,25.32,206.7,5.8 +1697,2023-08-25 12:00:00+00:00,-9999.0,37.443,-9999.0,25.31,25.29,-99999.0,25.32,25.32,204.5,7.0 +1698,2023-08-26 12:00:00+00:00,-9999.0,37.423,-9999.0,25.27,25.25,-99999.0,25.29,25.28,187.0,7.1 +1699,2023-08-27 12:00:00+00:00,-9999.0,37.399,-9999.0,25.21,25.19,-99999.0,25.24,25.22,269.20001,3.4 +1700,2023-08-28 12:00:00+00:00,-9999.0,37.367,-9999.0,25.0,24.98,-99999.0,25.03,25.01,275.20001,9.8 +1701,2023-08-29 12:00:00+00:00,-9999.0,37.375,-9999.0,25.0,24.98,-99999.0,25.02,25.01,231.60001,7.3 +1702,2023-08-30 12:00:00+00:00,-9999.0,37.356,-9999.0,25.04,24.98,-99999.0,25.01,25.03,190.8,5.8 +1703,2023-08-31 12:00:00+00:00,-9999.0,37.365,-9999.0,25.14,25.05,-99999.0,25.07,25.12,168.8,4.7 +1704,2023-09-01 12:00:00+00:00,-9999.0,37.511,-9999.0,25.24,25.19,-99999.0,25.2,25.25,333.0,4.1 +1705,2023-09-02 12:00:00+00:00,-9999.0,37.67,-9999.0,25.25,25.21,-99999.0,25.23,25.25,312.20001,5.6 +1706,2023-09-03 12:00:00+00:00,-9999.0,37.74,-9999.0,25.22,25.17,-99999.0,25.2,25.22,283.29999,5.5 +1707,2023-09-04 12:00:00+00:00,-9999.0,37.754,-9999.0,25.13,25.1,-99999.0,25.14,25.14,259.60001,6.9 +1708,2023-09-05 12:00:00+00:00,-9999.0,37.767,-9999.0,25.04,25.02,-99999.0,25.06,25.05,250.60001,7.5 +1709,2023-09-06 12:00:00+00:00,-9999.0,37.778,-9999.0,25.01,24.99,-99999.0,25.04,25.02,268.79999,6.8 +1710,2023-09-07 12:00:00+00:00,-9999.0,37.775,-9999.0,25.0,24.97,-99999.0,25.0,25.01,291.0,5.8 +1711,2023-09-08 12:00:00+00:00,-9999.0,37.774,-9999.0,24.95,24.93,-99999.0,24.97,24.96,280.20001,6.9 +1712,2023-09-09 12:00:00+00:00,-9999.0,37.776,-9999.0,24.93,24.91,-99999.0,24.94,24.94,267.39999,6.2 +1713,2023-09-10 12:00:00+00:00,-9999.0,37.773,-9999.0,25.0,24.87,-99999.0,24.91,24.94,254.5,4.3 +1714,2023-09-11 12:00:00+00:00,-9999.0,37.736,-9999.0,24.82,24.79,-99999.0,24.82,24.82,277.0,7.1 +1715,2023-09-12 12:00:00+00:00,-9999.0,37.727,-9999.0,24.78,24.76,-99999.0,24.8,24.79,270.29999,6.9 +1716,2023-09-13 12:00:00+00:00,-9999.0,37.687,-9999.0,24.69,24.66,-99999.0,24.71,24.7,256.89999,6.4 +1717,2023-09-14 12:00:00+00:00,-9999.0,37.673,-9999.0,24.64,24.6,-99999.0,24.63,24.64,233.0,5.5 +1718,2023-09-15 12:00:00+00:00,-9999.0,37.737,-9999.0,24.94,24.8,-99999.0,24.83,24.89,232.60001,4.5 +1719,2023-09-16 12:00:00+00:00,-9999.0,37.774,-9999.0,25.15,25.0,-99999.0,25.0,25.08,259.39999,4.5 +1720,2023-09-17 12:00:00+00:00,-9999.0,37.782,-9999.0,25.08,25.04,-99999.0,25.05,25.08,277.60001,6.2 diff --git a/material/dados_pirata.csv b/material/dados_pirata.csv new file mode 100644 index 0000000..8b46fb3 --- /dev/null +++ b/material/dados_pirata.csv @@ -0,0 +1,1723 @@ +,datahora,s_1,s_10,s_20,t_1,t_10,t_13,t_20,t_5,wd,ws +0,2019-01-01 12:00:00+00:00,36.882,-99999.0,36.934,27.24,-99999.0,-99999.0,27.15,-99999.0,278.5,5.7 +1,2019-01-02 12:00:00+00:00,36.902,-99999.0,36.959,27.3,-99999.0,-99999.0,27.19,-99999.0,278.29999,5.0 +2,2019-01-03 12:00:00+00:00,36.919,-99999.0,36.977,27.29,-99999.0,-99999.0,27.24,-99999.0,274.0,5.7 +3,2019-01-04 12:00:00+00:00,36.923,-99999.0,36.976,27.31,-99999.0,-99999.0,27.23,-99999.0,267.89999,5.0 +4,2019-01-05 12:00:00+00:00,36.931,-99999.0,36.985,27.2,-99999.0,-99999.0,27.19,-99999.0,270.60001,6.3 +5,2019-01-06 12:00:00+00:00,36.926,-99999.0,36.981,27.21,-99999.0,-99999.0,27.15,-99999.0,272.10001,5.6 +6,2019-01-07 12:00:00+00:00,36.926,-99999.0,36.981,27.19,-99999.0,-99999.0,27.14,-99999.0,276.5,6.0 +7,2019-01-08 12:00:00+00:00,36.938,-99999.0,37.0,27.18,-99999.0,-99999.0,27.14,-99999.0,279.70001,6.2 +8,2019-01-09 12:00:00+00:00,36.967,-99999.0,37.026,27.2,-99999.0,-99999.0,27.16,-99999.0,273.10001,6.2 +9,2019-01-10 12:00:00+00:00,36.968,-99999.0,37.028,27.19,-99999.0,-99999.0,27.16,-99999.0,279.20001,6.6 +10,2019-01-11 12:00:00+00:00,36.984,-99999.0,37.039,27.22,-99999.0,-99999.0,27.17,-99999.0,283.70001,6.3 +11,2019-01-12 12:00:00+00:00,36.995,-99999.0,37.05,27.27,-99999.0,-99999.0,27.2,-99999.0,289.39999,3.9 +12,2019-01-13 12:00:00+00:00,37.0,-99999.0,37.059,27.28,-99999.0,-99999.0,27.23,-99999.0,277.79999,5.4 +13,2019-01-14 12:00:00+00:00,37.02,-99999.0,37.078,27.28,-99999.0,-99999.0,27.23,-99999.0,278.5,5.7 +14,2019-01-15 12:00:00+00:00,37.027,-99999.0,37.083,27.33,-99999.0,-99999.0,27.26,-99999.0,280.20001,5.8 +15,2019-01-16 12:00:00+00:00,37.034,-99999.0,37.09,27.38,-99999.0,-99999.0,27.3,-99999.0,285.79999,5.7 +16,2019-01-17 12:00:00+00:00,37.06,-99999.0,37.117,27.41,-99999.0,-99999.0,27.37,-99999.0,273.10001,6.7 +17,2019-01-18 12:00:00+00:00,37.098,-99999.0,37.151,27.47,-99999.0,-99999.0,27.37,-99999.0,272.20001,6.0 +18,2019-01-19 12:00:00+00:00,37.094,-99999.0,37.145,27.44,-99999.0,-99999.0,27.35,-99999.0,261.60001,5.4 +19,2019-01-20 12:00:00+00:00,37.113,-99999.0,37.168,27.48,-99999.0,-99999.0,27.4,-99999.0,254.89999,5.5 +20,2019-01-21 12:00:00+00:00,37.154,-99999.0,37.208,27.55,-99999.0,-99999.0,27.48,-99999.0,273.89999,6.1 +21,2019-01-22 12:00:00+00:00,37.192,-99999.0,37.252,27.59,-99999.0,-99999.0,27.5,-99999.0,279.60001,5.5 +22,2019-01-23 12:00:00+00:00,37.239,-99999.0,37.296,27.51,-99999.0,-99999.0,27.46,-99999.0,268.70001,5.8 +23,2019-01-24 12:00:00+00:00,37.262,-99999.0,37.328,27.53,-99999.0,-99999.0,27.42,-99999.0,272.10001,5.6 +24,2019-01-25 12:00:00+00:00,37.279,-99999.0,37.344,27.61,-99999.0,-99999.0,27.42,-99999.0,288.10001,4.9 +25,2019-01-26 12:00:00+00:00,37.237,-99999.0,37.356,27.64,-99999.0,-99999.0,27.44,-99999.0,271.10001,5.3 +26,2019-01-27 12:00:00+00:00,37.055,-99999.0,37.315,27.7,-99999.0,-99999.0,27.51,-99999.0,290.10001,5.8 +27,2019-01-28 12:00:00+00:00,36.936,-99999.0,37.152,27.68,-99999.0,-99999.0,27.57,-99999.0,287.70001,6.4 +28,2019-01-29 12:00:00+00:00,36.863,-99999.0,36.96,27.76,-99999.0,-99999.0,27.69,-99999.0,285.5,5.4 +29,2019-01-30 12:00:00+00:00,36.845,-99999.0,36.924,27.84,-99999.0,-99999.0,27.75,-99999.0,304.0,5.2 +30,2019-01-31 12:00:00+00:00,36.803,-99999.0,36.857,27.81,-99999.0,-99999.0,27.76,-99999.0,273.10001,5.0 +31,2019-02-01 12:00:00+00:00,36.795,-99999.0,36.85,27.78,-99999.0,-99999.0,27.71,-99999.0,288.60001,5.7 +32,2019-02-02 12:00:00+00:00,36.793,-99999.0,36.852,27.75,-99999.0,-99999.0,27.68,-99999.0,280.89999,4.7 +33,2019-02-03 12:00:00+00:00,36.812,-99999.0,36.866,27.86,-99999.0,-99999.0,27.74,-99999.0,275.10001,5.0 +34,2019-02-04 12:00:00+00:00,36.812,-99999.0,36.866,27.93,-99999.0,-99999.0,27.81,-99999.0,259.89999,4.4 +35,2019-02-05 12:00:00+00:00,36.828,-99999.0,36.88,28.04,-99999.0,-99999.0,27.91,-99999.0,259.89999,4.4 +36,2019-02-06 12:00:00+00:00,36.833,-99999.0,36.889,28.08,-99999.0,-99999.0,27.96,-99999.0,273.10001,4.1 +37,2019-02-07 12:00:00+00:00,36.842,-99999.0,36.896,28.01,-99999.0,-99999.0,27.97,-99999.0,268.70001,5.8 +38,2019-02-08 12:00:00+00:00,36.844,-99999.0,36.899,27.96,-99999.0,-99999.0,27.93,-99999.0,263.60001,5.5 +39,2019-02-09 12:00:00+00:00,36.839,-99999.0,36.895,28.0,-99999.0,-99999.0,27.96,-99999.0,265.5,6.1 +40,2019-02-10 12:00:00+00:00,36.847,-99999.0,36.902,28.0,-99999.0,-99999.0,27.97,-99999.0,278.70001,6.4 +41,2019-02-11 12:00:00+00:00,36.839,-99999.0,36.895,28.03,-99999.0,-99999.0,27.98,-99999.0,276.20001,6.4 +42,2019-02-12 12:00:00+00:00,36.837,-99999.0,36.891,28.04,-99999.0,-99999.0,27.99,-99999.0,271.10001,5.3 +43,2019-02-13 12:00:00+00:00,36.829,-99999.0,36.884,28.09,-99999.0,-99999.0,27.99,-99999.0,243.8,4.3 +44,2019-02-14 12:00:00+00:00,36.831,-99999.0,36.883,28.19,-99999.0,-99999.0,28.02,-99999.0,243.10001,3.5 +45,2019-02-15 12:00:00+00:00,36.833,-99999.0,36.884,28.29,-99999.0,-99999.0,28.04,-99999.0,238.89999,3.1 +46,2019-02-16 12:00:00+00:00,36.833,-99999.0,36.883,28.29,-99999.0,-99999.0,28.09,-99999.0,233.10001,4.4 +47,2019-02-17 12:00:00+00:00,36.833,-99999.0,36.885,28.31,-99999.0,-99999.0,28.13,-99999.0,238.7,4.5 +48,2019-02-18 12:00:00+00:00,36.836,-99999.0,36.887,28.46,-99999.0,-99999.0,28.16,-99999.0,270.10001,3.6 +49,2019-02-19 12:00:00+00:00,36.844,-99999.0,36.895,28.45,-99999.0,-99999.0,28.22,-99999.0,282.29999,4.5 +50,2019-02-20 12:00:00+00:00,36.848,-99999.0,36.9,28.51,-99999.0,-99999.0,28.26,-99999.0,265.79999,4.3 +51,2019-02-21 12:00:00+00:00,36.85,-99999.0,36.905,28.53,-99999.0,-99999.0,28.27,-99999.0,271.89999,4.3 +52,2019-02-22 12:00:00+00:00,36.86,-99999.0,36.917,28.69,-99999.0,-99999.0,28.33,-99999.0,263.89999,3.5 +53,2019-02-23 12:00:00+00:00,36.838,-99999.0,36.92,28.99,-99999.0,-99999.0,28.38,-99999.0,262.39999,1.6 +54,2019-02-24 12:00:00+00:00,36.894,-99999.0,36.926,28.99,-99999.0,-99999.0,28.43,-99999.0,223.89999,2.7 +55,2019-02-25 12:00:00+00:00,36.891,-99999.0,36.921,29.22,-99999.0,-99999.0,28.5,-99999.0,205.89999,2.0 +56,2019-02-26 12:00:00+00:00,36.946,-99999.0,36.988,29.25,-99999.0,-99999.0,28.64,-99999.0,239.8,3.5 +57,2019-02-27 12:00:00+00:00,36.949,-99999.0,36.983,29.16,-99999.0,-99999.0,28.68,-99999.0,237.5,3.9 +58,2019-02-28 12:00:00+00:00,36.947,-99999.0,37.024,29.13,-99999.0,-99999.0,28.72,-99999.0,257.79999,5.1 +59,2019-03-01 12:00:00+00:00,36.993,-99999.0,37.055,28.94,-99999.0,-99999.0,28.77,-99999.0,266.79999,5.8 +60,2019-03-02 12:00:00+00:00,37.104,-99999.0,37.179,28.93,-99999.0,-99999.0,28.68,-99999.0,278.10001,6.1 +61,2019-03-03 12:00:00+00:00,37.235,-99999.0,37.298,28.78,-99999.0,-99999.0,28.66,-99999.0,258.20001,5.9 +62,2019-03-04 12:00:00+00:00,37.148,-99999.0,37.262,28.69,-99999.0,-99999.0,28.64,-99999.0,266.79999,5.8 +63,2019-03-05 12:00:00+00:00,37.15,-99999.0,37.237,28.69,-99999.0,-99999.0,28.54,-99999.0,279.70001,6.2 +64,2019-03-06 12:00:00+00:00,37.182,-99999.0,37.244,28.66,-99999.0,-99999.0,28.6,-99999.0,291.5,5.4 +65,2019-03-07 12:00:00+00:00,37.194,-99999.0,37.247,28.77,-99999.0,-99999.0,28.62,-99999.0,280.20001,4.4 +66,2019-03-08 12:00:00+00:00,37.212,-99999.0,37.264,28.79,-99999.0,-99999.0,28.66,-99999.0,270.89999,4.9 +67,2019-03-09 12:00:00+00:00,37.23,-99999.0,37.289,28.85,-99999.0,-99999.0,28.7,-99999.0,273.10001,5.0 +68,2019-03-10 12:00:00+00:00,37.229,-99999.0,37.303,29.12,-99999.0,-99999.0,28.72,-99999.0,251.7,2.4 +69,2019-03-11 12:00:00+00:00,37.278,-99999.0,37.349,29.07,-99999.0,-99999.0,28.74,-99999.0,260.5,4.2 +70,2019-03-12 12:00:00+00:00,37.293,-99999.0,37.358,28.91,-99999.0,-99999.0,28.79,-99999.0,265.60001,5.5 +71,2019-03-13 12:00:00+00:00,37.327,-99999.0,37.388,28.83,-99999.0,-99999.0,28.81,-99999.0,281.60001,6.6 +72,2019-03-14 12:00:00+00:00,37.332,-99999.0,37.394,28.77,-99999.0,-99999.0,28.74,-99999.0,271.39999,6.2 +73,2019-03-15 12:00:00+00:00,37.346,-99999.0,37.408,28.89,-99999.0,-99999.0,28.72,-99999.0,273.10001,4.1 +74,2019-03-16 12:00:00+00:00,37.332,-99999.0,37.41,28.93,-99999.0,-99999.0,28.74,-99999.0,271.89999,4.3 +75,2019-03-17 12:00:00+00:00,37.284,-99999.0,37.398,29.04,-99999.0,-99999.0,28.77,-99999.0,277.5,3.6 +76,2019-03-18 12:00:00+00:00,37.241,-99999.0,37.386,29.16,-99999.0,-99999.0,28.82,-99999.0,259.5,2.8 +77,2019-03-19 12:00:00+00:00,37.214,-99999.0,37.356,29.19,-99999.0,-99999.0,28.86,-99999.0,229.2,3.5 +78,2019-03-20 12:00:00+00:00,37.244,-99999.0,37.329,29.15,-99999.0,-99999.0,28.96,-99999.0,205.3,4.3 +79,2019-03-21 12:00:00+00:00,37.262,-99999.0,37.33,29.1,-99999.0,-99999.0,29.03,-99999.0,206.89999,6.0 +80,2019-03-22 12:00:00+00:00,37.321,-99999.0,37.391,29.07,-99999.0,-99999.0,29.03,-99999.0,204.5,5.4 +81,2019-03-23 12:00:00+00:00,37.208,-99999.0,37.279,29.05,-99999.0,-99999.0,28.98,-99999.0,225.10001,5.0 +82,2019-03-24 12:00:00+00:00,37.188,-99999.0,37.253,29.01,-99999.0,-99999.0,28.98,-99999.0,229.39999,5.5 +83,2019-03-25 12:00:00+00:00,37.143,-99999.0,37.204,29.08,-99999.0,-99999.0,28.91,-99999.0,260.5,5.0 +84,2019-03-26 12:00:00+00:00,37.155,-99999.0,37.216,28.98,-99999.0,-99999.0,28.94,-99999.0,267.70001,6.6 +85,2019-03-27 12:00:00+00:00,37.104,-99999.0,37.172,28.93,-99999.0,-99999.0,28.84,-99999.0,288.5,5.4 +86,2019-03-28 12:00:00+00:00,37.064,-99999.0,37.124,28.93,-99999.0,-99999.0,28.85,-99999.0,296.10001,5.3 +87,2019-03-29 12:00:00+00:00,37.022,-99999.0,37.092,28.88,-99999.0,-99999.0,28.84,-99999.0,302.10001,4.7 +88,2019-03-30 12:00:00+00:00,36.962,-99999.0,37.064,28.74,-99999.0,-99999.0,28.77,-99999.0,276.60001,4.5 +89,2019-03-31 12:00:00+00:00,36.906,-99999.0,37.055,28.73,-99999.0,-99999.0,28.73,-99999.0,282.0,3.5 +90,2019-04-01 12:00:00+00:00,36.878,-99999.0,37.06,28.92,-99999.0,-99999.0,28.83,-99999.0,289.0,3.4 +91,2019-04-02 12:00:00+00:00,36.802,-99999.0,36.989,29.08,-99999.0,-99999.0,28.88,-99999.0,307.39999,2.2 +92,2019-04-03 12:00:00+00:00,36.828,-99999.0,36.911,29.31,-99999.0,-99999.0,28.97,-99999.0,308.20001,3.1 +93,2019-04-04 12:00:00+00:00,36.816,-99999.0,36.89,29.33,-99999.0,-99999.0,29.06,-99999.0,258.60001,3.0 +94,2019-04-05 12:00:00+00:00,36.768,-99999.0,36.869,29.12,-99999.0,-99999.0,29.07,-99999.0,265.89999,3.7 +95,2019-04-06 12:00:00+00:00,36.776,-99999.0,36.843,29.1,-99999.0,-99999.0,29.04,-99999.0,275.10001,5.0 +96,2019-04-07 12:00:00+00:00,36.762,-99999.0,36.814,29.05,-99999.0,-99999.0,29.01,-99999.0,277.79999,5.4 +97,2019-04-08 12:00:00+00:00,36.799,-99999.0,36.853,29.09,-99999.0,-99999.0,29.05,-99999.0,276.0,5.3 +98,2019-04-09 12:00:00+00:00,36.812,-99999.0,36.862,29.18,-99999.0,-99999.0,29.02,-99999.0,262.0,3.8 +99,2019-04-10 12:00:00+00:00,36.849,-99999.0,36.905,29.21,-99999.0,-99999.0,29.06,-99999.0,249.5,3.9 +100,2019-04-11 12:00:00+00:00,36.854,-99999.0,36.915,29.12,-99999.0,-99999.0,29.04,-99999.0,249.10001,4.5 +101,2019-04-12 12:00:00+00:00,36.861,-99999.0,36.921,29.19,-99999.0,-99999.0,29.06,-99999.0,259.70001,3.6 +102,2019-04-13 12:00:00+00:00,36.871,-99999.0,37.021,29.08,-99999.0,-99999.0,28.99,-99999.0,277.5,4.7 +103,2019-04-14 12:00:00+00:00,37.014,-99999.0,37.138,28.86,-99999.0,-99999.0,28.85,-99999.0,286.10001,6.0 +104,2019-04-15 12:00:00+00:00,37.14,-99999.0,37.195,28.85,-99999.0,-99999.0,28.8,-99999.0,279.0,5.2 +105,2019-04-16 12:00:00+00:00,37.185,-99999.0,37.231,28.92,-99999.0,-99999.0,28.78,-99999.0,291.5,4.0 +106,2019-04-17 12:00:00+00:00,37.26,-99999.0,37.314,29.01,-99999.0,-99999.0,28.88,-99999.0,259.70001,3.6 +107,2019-04-18 12:00:00+00:00,37.289,-99999.0,37.346,28.99,-99999.0,-99999.0,28.89,-99999.0,258.39999,4.0 +108,2019-04-19 12:00:00+00:00,37.294,-99999.0,37.348,28.95,-99999.0,-99999.0,28.9,-99999.0,256.39999,4.7 +109,2019-04-20 12:00:00+00:00,37.252,-99999.0,37.346,28.95,-99999.0,-99999.0,28.93,-99999.0,267.10001,5.2 +110,2019-04-21 12:00:00+00:00,37.076,-99999.0,37.156,28.84,-99999.0,-99999.0,28.8,-99999.0,282.5,5.5 +111,2019-04-22 12:00:00+00:00,37.068,-99999.0,37.123,28.82,-99999.0,-99999.0,28.8,-99999.0,281.20001,6.3 +112,2019-04-23 12:00:00+00:00,37.053,-99999.0,37.11,28.72,-99999.0,-99999.0,28.71,-99999.0,283.70001,6.3 +113,2019-04-24 12:00:00+00:00,37.02,-99999.0,37.075,28.62,-99999.0,-99999.0,28.6,-99999.0,294.10001,6.2 +114,2019-04-25 12:00:00+00:00,37.005,-99999.0,37.06,28.56,-99999.0,-99999.0,28.52,-99999.0,283.0,5.7 +115,2019-04-26 12:00:00+00:00,37.027,-99999.0,37.081,28.56,-99999.0,-99999.0,28.5,-99999.0,288.29999,5.1 +116,2019-04-27 12:00:00+00:00,37.064,-99999.0,37.118,28.61,-99999.0,-99999.0,28.52,-99999.0,284.39999,4.6 +117,2019-04-28 12:00:00+00:00,37.084,-99999.0,37.138,28.7,-99999.0,-99999.0,28.57,-99999.0,270.5,4.0 +118,2019-04-29 12:00:00+00:00,37.063,-99999.0,37.121,28.69,-99999.0,-99999.0,28.56,-99999.0,239.8,3.5 +119,2019-04-30 12:00:00+00:00,37.047,-99999.0,37.111,28.77,-99999.0,-99999.0,28.58,-99999.0,246.5,3.3 +120,2019-05-01 12:00:00+00:00,37.073,-99999.0,37.135,28.84,-99999.0,-99999.0,28.63,-99999.0,284.70001,3.6 +121,2019-05-02 12:00:00+00:00,37.118,-99999.0,37.171,28.86,-99999.0,-99999.0,28.69,-99999.0,256.0,2.6 +122,2019-05-03 12:00:00+00:00,37.15,-99999.0,37.204,28.76,-99999.0,-99999.0,28.7,-99999.0,257.79999,4.2 +123,2019-05-04 12:00:00+00:00,37.182,-99999.0,37.236,28.71,-99999.0,-99999.0,28.66,-99999.0,269.70001,4.6 +124,2019-05-05 12:00:00+00:00,37.179,-99999.0,37.235,28.65,-99999.0,-99999.0,28.62,-99999.0,280.20001,5.1 +125,2019-05-06 12:00:00+00:00,37.138,-99999.0,37.206,28.59,-99999.0,-99999.0,28.56,-99999.0,289.89999,5.0 +126,2019-05-07 12:00:00+00:00,37.075,-99999.0,37.153,28.57,-99999.0,-99999.0,28.54,-99999.0,267.5,5.6 +127,2019-05-08 12:00:00+00:00,37.005,-99999.0,37.082,28.68,-99999.0,-99999.0,28.53,-99999.0,270.5,2.1 +128,2019-05-09 12:00:00+00:00,36.926,-99999.0,37.004,28.72,-99999.0,-99999.0,28.58,-99999.0,309.89999,2.4 +129,2019-05-10 12:00:00+00:00,36.911,-99999.0,36.961,28.76,-99999.0,-99999.0,28.62,-99999.0,295.29999,2.3 +130,2019-05-11 12:00:00+00:00,36.883,-99999.0,36.964,28.86,-99999.0,-99999.0,28.64,-99999.0,294.5,2.8 +131,2019-05-12 12:00:00+00:00,36.996,-99999.0,37.052,28.63,-99999.0,-99999.0,28.61,-99999.0,284.10001,6.5 +132,2019-05-13 12:00:00+00:00,36.918,-99999.0,37.017,28.67,-99999.0,-99999.0,28.6,-99999.0,276.60001,4.5 +133,2019-05-14 12:00:00+00:00,36.872,-99999.0,36.963,28.6,-99999.0,-99999.0,28.6,-99999.0,246.5,4.7 +134,2019-05-15 12:00:00+00:00,36.963,-99999.0,37.035,28.64,-99999.0,-99999.0,28.61,-99999.0,221.5,3.4 +135,2019-05-16 12:00:00+00:00,36.825,-99999.0,36.892,28.64,-99999.0,-99999.0,28.62,-99999.0,244.0,4.7 +136,2019-05-17 12:00:00+00:00,36.93,-99999.0,36.994,28.64,-99999.0,-99999.0,28.57,-99999.0,266.70001,4.1 +137,2019-05-18 12:00:00+00:00,36.978,-99999.0,37.045,28.62,-99999.0,-99999.0,28.57,-99999.0,262.0,3.8 +138,2019-05-19 12:00:00+00:00,36.986,-99999.0,37.04,28.63,-99999.0,-99999.0,28.56,-99999.0,259.0,5.5 +139,2019-05-20 12:00:00+00:00,36.971,-99999.0,37.026,28.62,-99999.0,-99999.0,28.59,-99999.0,266.29999,5.3 +140,2019-05-21 12:00:00+00:00,36.955,-99999.0,37.01,28.62,-99999.0,-99999.0,28.58,-99999.0,280.20001,5.8 +141,2019-05-22 12:00:00+00:00,36.967,-99999.0,37.02,28.71,-99999.0,-99999.0,28.57,-99999.0,273.10001,4.1 +142,2019-05-23 12:00:00+00:00,36.985,-99999.0,37.036,28.72,-99999.0,-99999.0,28.58,-99999.0,286.29999,3.2 +143,2019-05-24 12:00:00+00:00,36.978,-99999.0,37.03,28.74,-99999.0,-99999.0,28.57,-99999.0,269.70001,3.2 +144,2019-05-25 12:00:00+00:00,37.0,-99999.0,37.053,28.59,-99999.0,-99999.0,28.53,-99999.0,257.79999,5.1 +145,2019-05-26 12:00:00+00:00,36.999,-99999.0,37.058,28.49,-99999.0,-99999.0,28.48,-99999.0,276.60001,4.5 +146,2019-05-27 12:00:00+00:00,36.966,-99999.0,37.042,28.51,-99999.0,-99999.0,28.51,-99999.0,294.89999,4.9 +147,2019-05-28 12:00:00+00:00,36.989,-99999.0,37.046,28.52,-99999.0,-99999.0,28.51,-99999.0,289.0,6.5 +148,2019-05-29 12:00:00+00:00,36.984,-99999.0,37.04,28.45,-99999.0,-99999.0,28.44,-99999.0,284.89999,6.1 +149,2019-05-30 12:00:00+00:00,36.988,-99999.0,37.053,28.38,-99999.0,-99999.0,28.37,-99999.0,278.10001,6.1 +150,2019-05-31 12:00:00+00:00,37.023,-99999.0,37.075,28.37,-99999.0,-99999.0,28.35,-99999.0,277.5,5.8 +151,2019-06-01 12:00:00+00:00,37.01,-99999.0,37.082,28.34,-99999.0,-99999.0,28.31,-99999.0,273.10001,5.4 +152,2019-06-02 12:00:00+00:00,37.029,-99999.0,37.085,28.31,-99999.0,-99999.0,28.27,-99999.0,283.39999,4.1 +153,2019-06-03 12:00:00+00:00,37.017,-99999.0,37.075,28.27,-99999.0,-99999.0,28.26,-99999.0,287.29999,5.8 +154,2019-06-04 12:00:00+00:00,37.025,-99999.0,37.089,28.3,-99999.0,-99999.0,28.22,-99999.0,252.2,2.2 +155,2019-06-05 12:00:00+00:00,37.019,-99999.0,37.094,28.23,-99999.0,-99999.0,28.21,-99999.0,286.60001,5.0 +156,2019-06-06 12:00:00+00:00,37.044,-99999.0,37.104,28.22,-99999.0,-99999.0,28.2,-99999.0,313.70001,4.2 +157,2019-06-07 12:00:00+00:00,37.017,-99999.0,37.079,28.14,-99999.0,-99999.0,28.13,-99999.0,312.70001,7.4 +158,2019-06-08 12:00:00+00:00,37.022,-99999.0,37.08,28.11,-99999.0,-99999.0,28.11,-99999.0,286.70001,6.8 +159,2019-06-09 12:00:00+00:00,36.93,-99999.0,36.966,28.09,-99999.0,-99999.0,28.09,-99999.0,294.70001,7.5 +160,2019-06-10 12:00:00+00:00,36.902,-99999.0,36.971,28.08,-99999.0,-99999.0,28.07,-99999.0,291.5,7.3 +161,2019-06-11 12:00:00+00:00,36.908,-99999.0,36.979,28.02,-99999.0,-99999.0,28.02,-99999.0,290.5,8.0 +162,2019-06-12 12:00:00+00:00,36.913,-99999.0,36.987,27.99,-99999.0,-99999.0,27.99,-99999.0,286.10001,9.0 +163,2019-06-13 12:00:00+00:00,36.936,-99999.0,37.011,27.93,-99999.0,-99999.0,27.93,-99999.0,283.89999,8.5 +164,2019-06-14 12:00:00+00:00,36.94,-99999.0,37.02,27.85,-99999.0,-99999.0,27.85,-99999.0,287.29999,7.6 +165,2019-06-15 12:00:00+00:00,36.956,-99999.0,37.04,27.74,-99999.0,-99999.0,27.73,-99999.0,291.5,6.8 +166,2019-06-16 12:00:00+00:00,36.975,-99999.0,37.087,27.74,-99999.0,-99999.0,27.72,-99999.0,283.0,5.7 +167,2019-06-17 12:00:00+00:00,37.036,-99999.0,37.125,27.69,-99999.0,-99999.0,27.68,-99999.0,282.70001,6.4 +168,2019-06-18 12:00:00+00:00,37.056,-99999.0,37.146,27.63,-99999.0,-99999.0,27.56,-99999.0,291.5,4.0 +169,2019-06-19 12:00:00+00:00,37.041,-99999.0,37.155,27.56,-99999.0,-99999.0,27.52,-99999.0,283.39999,5.0 +170,2019-06-20 12:00:00+00:00,37.064,-99999.0,37.228,27.32,-99999.0,-99999.0,27.28,-99999.0,267.39999,4.5 +171,2019-06-21 12:00:00+00:00,37.129,-99999.0,37.258,27.28,-99999.0,-99999.0,27.26,-99999.0,294.89999,4.9 +172,2019-06-22 12:00:00+00:00,37.211,-99999.0,37.285,27.32,-99999.0,-99999.0,27.32,-99999.0,299.29999,7.2 +173,2019-06-23 12:00:00+00:00,37.271,-99999.0,37.352,27.23,-99999.0,-99999.0,27.22,-99999.0,292.60001,7.5 +174,2019-06-24 12:00:00+00:00,37.238,-99999.0,37.337,27.09,-99999.0,-99999.0,27.1,-99999.0,286.10001,6.0 +175,2019-06-25 12:00:00+00:00,37.268,-99999.0,37.412,27.06,-99999.0,-99999.0,27.09,-99999.0,272.0,4.7 +176,2019-06-26 12:00:00+00:00,37.391,-99999.0,37.48,27.09,-99999.0,-99999.0,27.08,-99999.0,275.39999,6.6 +177,2019-06-27 12:00:00+00:00,37.401,-99999.0,37.478,27.0,-99999.0,-99999.0,26.99,-99999.0,274.60001,6.8 +178,2019-06-28 12:00:00+00:00,37.411,-99999.0,37.47,26.9,-99999.0,-99999.0,26.9,-99999.0,290.5,7.7 +179,2019-06-29 12:00:00+00:00,37.392,-99999.0,37.458,26.81,-99999.0,-99999.0,26.81,-99999.0,284.5,8.1 +180,2019-06-30 12:00:00+00:00,37.356,-99999.0,37.432,26.88,-99999.0,-99999.0,26.84,-99999.0,273.89999,6.1 +181,2019-07-01 12:00:00+00:00,37.316,-99999.0,37.384,26.97,-99999.0,-99999.0,26.95,-99999.0,271.5,6.6 +182,2019-07-02 12:00:00+00:00,37.338,-99999.0,37.418,26.82,-99999.0,-99999.0,26.81,-99999.0,262.20001,6.6 +183,2019-07-03 12:00:00+00:00,37.343,-99999.0,37.418,26.86,-99999.0,-99999.0,26.83,-99999.0,257.0,5.5 +184,2019-07-04 12:00:00+00:00,37.357,-99999.0,37.439,26.83,-99999.0,-99999.0,26.8,-99999.0,251.89999,6.4 +185,2019-07-05 12:00:00+00:00,37.394,-99999.0,37.474,26.81,-99999.0,-99999.0,26.8,-99999.0,238.7,5.9 +186,2019-07-06 12:00:00+00:00,37.224,-99999.0,37.331,26.98,-99999.0,-99999.0,26.91,-99999.0,219.89999,4.5 +187,2019-07-07 12:00:00+00:00,37.166,-99999.0,37.336,27.01,-99999.0,-99999.0,26.91,-99999.0,269.10001,2.7 +188,2019-07-08 12:00:00+00:00,37.304,-99999.0,37.397,26.79,-99999.0,-99999.0,26.77,-99999.0,322.5,8.2 +189,2019-07-09 12:00:00+00:00,37.329,-99999.0,37.406,26.55,-99999.0,-99999.0,26.54,-99999.0,308.89999,9.4 +190,2019-07-10 12:00:00+00:00,37.317,-99999.0,37.396,26.47,-99999.0,-99999.0,26.46,-99999.0,313.60001,9.6 +191,2019-07-11 12:00:00+00:00,37.295,-99999.0,37.377,26.5,-99999.0,-99999.0,26.49,-99999.0,309.89999,7.1 +192,2019-07-12 12:00:00+00:00,37.109,-99999.0,37.228,26.6,-99999.0,-99999.0,26.58,-99999.0,291.5,6.0 +193,2019-07-13 12:00:00+00:00,37.069,-99999.0,37.16,26.61,-99999.0,-99999.0,26.58,-99999.0,304.0,5.2 +194,2019-07-14 12:00:00+00:00,37.004,-99999.0,37.079,26.62,-99999.0,-99999.0,26.6,-99999.0,282.5,5.5 +195,2019-07-15 12:00:00+00:00,36.979,-99999.0,37.128,26.59,-99999.0,-99999.0,26.54,-99999.0,287.70001,4.3 +196,2019-07-16 12:00:00+00:00,37.0,-99999.0,37.103,26.67,-99999.0,-99999.0,26.52,-99999.0,261.39999,3.2 +197,2019-07-17 12:00:00+00:00,36.992,-99999.0,37.182,26.68,-99999.0,-99999.0,26.5,-99999.0,288.10001,2.5 +198,2019-07-18 12:00:00+00:00,37.001,-99999.0,37.113,26.53,-99999.0,-99999.0,26.52,-99999.0,327.29999,7.5 +199,2019-07-19 12:00:00+00:00,36.881,-99999.0,36.96,26.56,-99999.0,-99999.0,26.55,-99999.0,321.10001,8.2 +200,2019-07-20 12:00:00+00:00,36.818,-99999.0,36.901,26.61,-99999.0,-99999.0,26.6,-99999.0,300.70001,8.8 +201,2019-07-21 12:00:00+00:00,36.868,-99999.0,36.956,26.62,-99999.0,-99999.0,26.62,-99999.0,301.39999,8.9 +202,2019-07-22 12:00:00+00:00,36.772,-99999.0,36.85,26.62,-99999.0,-99999.0,26.62,-99999.0,297.0,8.7 +203,2019-07-23 12:00:00+00:00,36.635,-99999.0,36.705,26.77,-99999.0,-99999.0,26.77,-99999.0,286.5,8.0 +204,2019-07-24 12:00:00+00:00,36.645,-99999.0,36.724,26.78,-99999.0,-99999.0,26.78,-99999.0,285.60001,8.2 +205,2019-07-25 12:00:00+00:00,36.621,-99999.0,36.701,26.83,-99999.0,-99999.0,26.83,-99999.0,293.60001,7.9 +206,2019-07-26 12:00:00+00:00,36.601,-99999.0,36.68,26.82,-99999.0,-99999.0,26.82,-99999.0,291.5,7.3 +207,2019-07-27 12:00:00+00:00,36.59,-99999.0,36.674,26.82,-99999.0,-99999.0,26.82,-99999.0,295.60001,7.9 +208,2019-07-28 12:00:00+00:00,36.614,-99999.0,36.706,26.8,-99999.0,-99999.0,26.79,-99999.0,295.0,6.9 +209,2019-07-29 12:00:00+00:00,36.656,-99999.0,36.746,26.7,-99999.0,-99999.0,26.69,-99999.0,309.20001,7.4 +210,2019-07-30 12:00:00+00:00,36.694,-99999.0,36.788,26.66,-99999.0,-99999.0,26.64,-99999.0,287.10001,5.5 +211,2019-07-31 12:00:00+00:00,36.677,-99999.0,36.764,26.77,-99999.0,-99999.0,26.66,-99999.0,267.10001,3.5 +212,2019-08-01 12:00:00+00:00,36.627,-99999.0,36.708,26.81,-99999.0,-99999.0,26.79,-99999.0,286.60001,5.0 +213,2019-08-02 12:00:00+00:00,36.621,-99999.0,36.705,26.83,-99999.0,-99999.0,26.8,-99999.0,274.89999,5.5 +214,2019-08-03 12:00:00+00:00,36.615,-99999.0,36.7,26.81,-99999.0,-99999.0,26.77,-99999.0,276.20001,4.9 +215,2019-08-04 12:00:00+00:00,36.585,-99999.0,36.672,26.73,-99999.0,-99999.0,26.72,-99999.0,263.39999,6.9 +216,2019-08-05 12:00:00+00:00,36.597,-99999.0,36.68,26.66,-99999.0,-99999.0,26.66,-99999.0,284.70001,8.3 +217,2019-08-06 12:00:00+00:00,36.643,-99999.0,36.728,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +218,2019-08-07 12:00:00+00:00,36.684,-99999.0,36.771,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +219,2019-08-08 12:00:00+00:00,36.78,-99999.0,36.872,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +220,2019-08-09 12:00:00+00:00,36.776,-99999.0,36.864,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +221,2019-08-10 12:00:00+00:00,36.747,-99999.0,36.84,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +222,2019-08-11 12:00:00+00:00,36.783,-99999.0,36.87,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +223,2019-08-12 12:00:00+00:00,36.801,-99999.0,36.889,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +224,2019-08-13 12:00:00+00:00,36.769,-99999.0,36.855,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +225,2019-08-14 12:00:00+00:00,36.762,-99999.0,36.849,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +226,2019-08-15 12:00:00+00:00,36.754,-99999.0,36.839,26.36,-99999.0,-99999.0,26.36,-99999.0,307.79999,7.0 +227,2019-08-16 12:00:00+00:00,36.756,-99999.0,36.842,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +228,2019-08-17 12:00:00+00:00,36.748,-99999.0,36.835,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +229,2019-08-18 12:00:00+00:00,36.766,-99999.0,36.851,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +230,2019-08-19 12:00:00+00:00,36.786,-99999.0,36.873,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +231,2019-08-20 12:00:00+00:00,36.814,-99999.0,36.901,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +232,2019-08-21 12:00:00+00:00,36.822,-99999.0,36.908,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +233,2019-08-22 12:00:00+00:00,36.798,-99999.0,36.889,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +234,2019-08-23 12:00:00+00:00,36.801,-99999.0,36.886,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +235,2019-08-24 12:00:00+00:00,36.847,-99999.0,36.937,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +236,2019-08-25 12:00:00+00:00,36.803,-99999.0,36.892,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +237,2019-08-26 12:00:00+00:00,36.779,-99999.0,36.872,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +238,2019-08-27 12:00:00+00:00,36.792,-99999.0,36.881,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +239,2019-08-28 12:00:00+00:00,36.784,-99999.0,36.874,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +240,2019-08-29 12:00:00+00:00,36.786,-99999.0,36.878,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +241,2019-08-30 12:00:00+00:00,36.794,-99999.0,36.885,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +242,2019-08-31 12:00:00+00:00,36.806,-99999.0,36.9,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +243,2019-09-01 12:00:00+00:00,36.761,-99999.0,36.851,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +244,2019-09-02 12:00:00+00:00,36.75,-99999.0,36.84,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +245,2019-09-03 12:00:00+00:00,36.754,-99999.0,36.843,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +246,2019-09-04 12:00:00+00:00,36.758,-99999.0,36.847,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +247,2019-09-05 12:00:00+00:00,36.766,-99999.0,36.857,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +248,2019-09-06 12:00:00+00:00,36.779,-99999.0,36.872,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +249,2019-09-07 12:00:00+00:00,36.814,-99999.0,36.905,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +250,2019-09-08 12:00:00+00:00,36.873,-99999.0,36.969,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +251,2019-09-09 12:00:00+00:00,36.816,-99999.0,36.911,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +252,2019-09-10 12:00:00+00:00,36.845,-99999.0,36.938,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +253,2019-09-11 12:00:00+00:00,36.83,-99999.0,36.922,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +254,2019-09-12 12:00:00+00:00,36.829,-99999.0,36.921,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +255,2019-09-13 12:00:00+00:00,36.832,-99999.0,36.922,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +256,2019-09-14 12:00:00+00:00,36.852,-99999.0,36.942,26.25,-99999.0,-99999.0,26.15,-99999.0,297.0,4.5 +257,2019-09-15 12:00:00+00:00,36.85,-99999.0,36.944,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +258,2019-09-16 12:00:00+00:00,36.852,-99999.0,36.944,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +259,2019-09-17 12:00:00+00:00,36.857,-99999.0,36.948,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +260,2019-09-18 12:00:00+00:00,36.862,-99999.0,36.954,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +261,2019-09-19 12:00:00+00:00,36.873,-99999.0,36.965,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +262,2019-09-20 12:00:00+00:00,36.875,-99999.0,36.968,26.16,-99999.0,-99999.0,26.12,-99999.0,291.5,7.0 +263,2019-09-21 12:00:00+00:00,36.888,-99999.0,36.98,26.22,-99999.0,-99999.0,26.11,-99999.0,272.10001,5.1 +264,2019-09-22 12:00:00+00:00,36.896,-99999.0,36.989,26.14,-99999.0,-99999.0,26.12,-99999.0,284.60001,5.8 +265,2019-09-23 12:00:00+00:00,36.896,-99999.0,36.986,26.18,-99999.0,-99999.0,26.09,-99999.0,302.29999,6.0 +266,2019-09-24 12:00:00+00:00,36.91,-99999.0,37.004,26.22,-99999.0,-99999.0,26.19,-99999.0,309.89999,6.2 +267,2019-09-25 12:00:00+00:00,36.904,-99999.0,36.997,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +268,2019-09-26 12:00:00+00:00,36.835,-99999.0,36.928,26.25,-99999.0,-99999.0,26.2,-99999.0,280.20001,5.8 +269,2019-09-27 12:00:00+00:00,36.852,-99999.0,36.946,26.3,-99999.0,-99999.0,26.21,-99999.0,252.8,5.5 +270,2019-09-28 12:00:00+00:00,36.853,-99999.0,36.948,26.43,-99999.0,-99999.0,26.31,-99999.0,265.70001,4.9 +271,2019-09-29 12:00:00+00:00,36.843,-99999.0,36.939,26.48,-99999.0,-99999.0,26.35,-99999.0,268.79999,4.8 +272,2019-09-30 12:00:00+00:00,36.873,-99999.0,36.977,26.52,-99999.0,-99999.0,26.36,-99999.0,273.10001,4.1 +273,2019-10-01 12:00:00+00:00,36.869,-99999.0,36.966,26.47,-99999.0,-99999.0,26.41,-99999.0,279.60001,5.5 +274,2019-10-02 12:00:00+00:00,36.885,-99999.0,36.985,26.39,-99999.0,-99999.0,26.39,-99999.0,309.89999,8.4 +275,2019-10-03 12:00:00+00:00,36.875,-99999.0,36.975,26.34,-99999.0,-99999.0,26.32,-99999.0,304.39999,8.2 +276,2019-10-04 12:00:00+00:00,36.881,-99999.0,36.978,26.32,-99999.0,-99999.0,26.3,-99999.0,301.5,7.3 +277,2019-10-05 12:00:00+00:00,36.845,-99999.0,36.941,26.41,-99999.0,-99999.0,26.35,-99999.0,291.5,6.2 +278,2019-10-06 12:00:00+00:00,36.827,-99999.0,36.924,26.43,-99999.0,-99999.0,26.41,-99999.0,291.5,7.0 +279,2019-10-07 12:00:00+00:00,36.83,-99999.0,36.926,26.45,-99999.0,-99999.0,26.42,-99999.0,284.70001,7.1 +280,2019-10-08 12:00:00+00:00,36.806,-99999.0,36.902,26.52,-99999.0,-99999.0,26.48,-99999.0,279.20001,6.6 +281,2019-10-09 12:00:00+00:00,36.773,-99999.0,36.868,26.56,-99999.0,-99999.0,26.51,-99999.0,288.79999,6.0 +282,2019-10-10 12:00:00+00:00,36.752,-99999.0,36.847,26.53,-99999.0,-99999.0,26.51,-99999.0,298.89999,6.5 +283,2019-10-11 12:00:00+00:00,36.762,-99999.0,36.857,26.44,-99999.0,-99999.0,26.42,-99999.0,305.5,7.0 +284,2019-10-12 12:00:00+00:00,36.801,-99999.0,36.897,26.44,-99999.0,-99999.0,26.4,-99999.0,301.0,6.8 +285,2019-10-13 12:00:00+00:00,36.816,-99999.0,36.911,26.42,-99999.0,-99999.0,26.39,-99999.0,301.39999,6.6 +286,2019-10-14 12:00:00+00:00,36.812,-99999.0,36.907,26.43,-99999.0,-99999.0,26.39,-99999.0,280.20001,6.5 +287,2019-10-15 12:00:00+00:00,36.809,-99999.0,36.902,26.47,-99999.0,-99999.0,26.38,-99999.0,281.29999,5.6 +288,2019-10-16 12:00:00+00:00,36.828,-99999.0,36.916,26.52,-99999.0,-99999.0,26.38,-99999.0,293.10001,5.0 +289,2019-10-17 12:00:00+00:00,36.837,-99999.0,36.927,26.52,-99999.0,-99999.0,26.41,-99999.0,291.5,5.4 +290,2019-10-18 12:00:00+00:00,36.855,-99999.0,36.952,26.55,-99999.0,-99999.0,26.46,-99999.0,293.0,5.5 +291,2019-10-19 12:00:00+00:00,36.832,-99999.0,36.929,26.62,-99999.0,-99999.0,26.46,-99999.0,249.5,3.9 +292,2019-10-20 12:00:00+00:00,36.831,-99999.0,36.928,26.6,-99999.0,-99999.0,26.48,-99999.0,233.0,5.2 +293,2019-10-21 12:00:00+00:00,36.846,-99999.0,36.935,26.66,-99999.0,-99999.0,26.52,-99999.0,233.10001,4.4 +294,2019-10-22 12:00:00+00:00,36.828,-99999.0,36.954,26.7,-99999.0,-99999.0,26.59,-99999.0,236.0,5.5 +295,2019-10-23 12:00:00+00:00,36.751,-99999.0,36.947,26.79,-99999.0,-99999.0,26.6,-99999.0,249.0,4.7 +296,2019-10-24 12:00:00+00:00,36.79,-99999.0,36.931,26.8,-99999.0,-99999.0,26.65,-99999.0,271.10001,5.3 +297,2019-10-25 12:00:00+00:00,36.761,-99999.0,36.916,26.81,-99999.0,-99999.0,26.71,-99999.0,274.10001,5.2 +298,2019-10-26 12:00:00+00:00,36.838,-99999.0,36.944,26.9,-99999.0,-99999.0,26.73,-99999.0,276.0,5.3 +299,2019-10-27 12:00:00+00:00,36.843,-99999.0,36.946,26.87,-99999.0,-99999.0,26.75,-99999.0,275.79999,5.7 +300,2019-10-28 12:00:00+00:00,36.848,-99999.0,36.947,26.91,-99999.0,-99999.0,26.81,-99999.0,274.0,5.7 +301,2019-10-29 12:00:00+00:00,36.818,-99999.0,36.915,26.89,-99999.0,-99999.0,26.8,-99999.0,274.0,5.7 +302,2019-10-30 12:00:00+00:00,36.867,-99999.0,36.978,26.91,-99999.0,-99999.0,26.84,-99999.0,273.10001,6.7 +303,2019-10-31 12:00:00+00:00,36.952,-99999.0,37.077,26.9,-99999.0,-99999.0,26.81,-99999.0,261.89999,6.0 +304,2019-11-01 12:00:00+00:00,36.963,-99999.0,37.06,26.9,-99999.0,-99999.0,26.73,-99999.0,262.79999,5.0 +305,2019-11-02 12:00:00+00:00,36.987,-99999.0,37.083,26.84,-99999.0,-99999.0,26.73,-99999.0,283.0,5.7 +306,2019-11-03 12:00:00+00:00,36.987,-99999.0,37.087,26.85,-99999.0,-99999.0,26.77,-99999.0,272.20001,6.0 +307,2019-11-04 12:00:00+00:00,36.967,-99999.0,37.063,26.92,-99999.0,-99999.0,26.84,-99999.0,242.89999,6.4 +308,2019-11-05 12:00:00+00:00,36.95,-99999.0,37.049,26.99,-99999.0,-99999.0,26.88,-99999.0,248.5,5.8 +309,2019-11-06 12:00:00+00:00,36.909,-99999.0,37.007,26.94,-99999.0,-99999.0,26.84,-99999.0,255.7,6.3 +310,2019-11-07 12:00:00+00:00,36.902,-99999.0,37.005,26.92,-99999.0,-99999.0,26.81,-99999.0,274.0,5.7 +311,2019-11-08 12:00:00+00:00,36.91,-99999.0,37.016,26.92,-99999.0,-99999.0,26.81,-99999.0,278.5,5.7 +312,2019-11-09 12:00:00+00:00,36.913,-99999.0,37.023,26.97,-99999.0,-99999.0,26.86,-99999.0,274.89999,5.5 +313,2019-11-10 12:00:00+00:00,36.904,-99999.0,37.006,26.93,-99999.0,-99999.0,26.81,-99999.0,273.10001,5.8 +314,2019-11-11 12:00:00+00:00,36.917,-99999.0,37.012,26.95,-99999.0,-99999.0,26.83,-99999.0,270.20001,5.5 +315,2019-11-12 12:00:00+00:00,36.93,-99999.0,37.032,27.04,-99999.0,-99999.0,26.89,-99999.0,291.5,4.9 +316,2019-11-13 12:00:00+00:00,36.907,-99999.0,37.006,27.09,-99999.0,-99999.0,26.91,-99999.0,282.89999,4.8 +317,2019-11-14 12:00:00+00:00,36.918,-99999.0,37.018,27.18,-99999.0,-99999.0,26.98,-99999.0,269.70001,4.6 +318,2019-11-15 12:00:00+00:00,36.923,-99999.0,37.023,27.14,-99999.0,-99999.0,27.03,-99999.0,246.5,6.2 +319,2019-11-16 12:00:00+00:00,36.919,-99999.0,37.021,27.11,-99999.0,-99999.0,27.04,-99999.0,237.89999,6.7 +320,2019-11-17 12:00:00+00:00,36.923,-99999.0,37.025,27.15,-99999.0,-99999.0,27.07,-99999.0,248.3,6.2 +321,2019-11-18 12:00:00+00:00,36.921,-99999.0,37.019,27.29,-99999.0,-99999.0,27.14,-99999.0,267.39999,4.5 +322,2019-11-19 12:00:00+00:00,36.932,-99999.0,37.047,27.23,-99999.0,-99999.0,27.17,-99999.0,278.5,5.7 +323,2019-11-20 12:00:00+00:00,36.997,-99999.0,37.095,27.23,-99999.0,-99999.0,27.12,-99999.0,279.60001,5.5 +324,2019-11-21 12:00:00+00:00,37.049,-99999.0,37.155,27.25,-99999.0,-99999.0,27.17,-99999.0,274.0,5.7 +325,2019-11-22 12:00:00+00:00,37.066,-99999.0,37.178,27.3,-99999.0,-99999.0,27.22,-99999.0,279.0,5.2 +326,2019-11-23 12:00:00+00:00,37.006,-99999.0,37.114,27.47,-99999.0,-99999.0,27.23,-99999.0,261.10001,4.8 +327,2019-11-24 12:00:00+00:00,36.969,-99999.0,37.076,27.36,-99999.0,-99999.0,27.25,-99999.0,225.5,5.6 +328,2019-11-25 12:00:00+00:00,36.972,-99999.0,37.073,27.48,-99999.0,-99999.0,27.28,-99999.0,219.89999,3.2 +329,2019-11-26 12:00:00+00:00,36.96,-99999.0,37.058,27.6,-99999.0,-99999.0,27.45,-99999.0,312.10001,2.5 +330,2019-11-27 12:00:00+00:00,36.851,-99999.0,36.961,27.33,-99999.0,-99999.0,27.31,-99999.0,308.5,7.2 +331,2019-11-28 12:00:00+00:00,36.76,-99999.0,36.895,27.3,-99999.0,-99999.0,27.12,-99999.0,271.70001,3.8 +332,2019-11-29 12:00:00+00:00,36.779,-99999.0,36.893,27.32,-99999.0,-99999.0,27.17,-99999.0,237.0,4.9 +333,2019-11-30 12:00:00+00:00,36.788,-99999.0,36.913,27.39,-99999.0,-99999.0,27.19,-99999.0,250.7,5.4 +334,2019-12-01 12:00:00+00:00,36.815,-99999.0,36.959,27.46,-99999.0,-99999.0,27.27,-99999.0,233.5,5.4 +335,2019-12-02 12:00:00+00:00,36.888,-99999.0,37.023,27.46,-99999.0,-99999.0,27.32,-99999.0,224.7,6.5 +336,2019-12-03 12:00:00+00:00,36.938,-99999.0,37.048,27.52,-99999.0,-99999.0,27.38,-99999.0,237.8,5.3 +337,2019-12-04 12:00:00+00:00,36.946,-99999.0,37.056,27.54,-99999.0,-99999.0,27.34,-99999.0,277.5,4.7 +338,2019-12-05 12:00:00+00:00,36.91,-99999.0,37.054,27.87,-99999.0,-99999.0,27.46,-99999.0,273.10001,3.7 +339,2019-12-06 12:00:00+00:00,36.881,-99999.0,37.003,27.81,-99999.0,-99999.0,27.62,-99999.0,250.60001,5.6 +340,2019-12-07 12:00:00+00:00,36.866,-99999.0,36.98,27.82,-99999.0,-99999.0,27.72,-99999.0,232.0,5.6 +341,2019-12-08 12:00:00+00:00,36.881,-99999.0,36.991,27.88,-99999.0,-99999.0,27.77,-99999.0,252.60001,5.7 +342,2019-12-09 12:00:00+00:00,36.866,-99999.0,36.976,27.83,-99999.0,-99999.0,27.78,-99999.0,274.10001,5.2 +343,2019-12-10 12:00:00+00:00,36.868,-99999.0,36.976,27.83,-99999.0,-99999.0,27.74,-99999.0,275.79999,5.7 +344,2019-12-11 12:00:00+00:00,36.871,-99999.0,36.981,27.87,-99999.0,-99999.0,27.79,-99999.0,276.0,5.3 +345,2019-12-12 12:00:00+00:00,36.889,-99999.0,36.995,27.87,-99999.0,-99999.0,27.8,-99999.0,273.10001,5.8 +346,2019-12-13 12:00:00+00:00,36.979,-99999.0,37.089,28.03,-99999.0,-99999.0,27.96,-99999.0,283.70001,6.3 +347,2019-12-14 12:00:00+00:00,36.933,-99999.0,37.046,28.03,-99999.0,-99999.0,28.01,-99999.0,292.60001,7.5 +348,2019-12-15 12:00:00+00:00,36.892,-99999.0,37.01,27.97,-99999.0,-99999.0,27.95,-99999.0,289.29999,7.3 +349,2019-12-16 12:00:00+00:00,36.875,-99999.0,36.988,27.96,-99999.0,-99999.0,27.91,-99999.0,283.0,6.7 +350,2019-12-17 12:00:00+00:00,36.868,-99999.0,36.978,27.92,-99999.0,-99999.0,27.85,-99999.0,280.20001,5.8 +351,2019-12-18 12:00:00+00:00,36.887,-99999.0,36.999,27.97,-99999.0,-99999.0,27.85,-99999.0,267.89999,5.0 +352,2019-12-19 12:00:00+00:00,36.899,-99999.0,37.013,27.92,-99999.0,-99999.0,27.84,-99999.0,266.10001,6.0 +353,2019-12-20 12:00:00+00:00,36.898,-99999.0,37.012,27.85,-99999.0,-99999.0,27.81,-99999.0,277.10001,6.3 +354,2019-12-21 12:00:00+00:00,36.896,-99999.0,37.006,27.87,-99999.0,-99999.0,27.76,-99999.0,280.20001,5.8 +355,2019-12-22 12:00:00+00:00,36.916,-99999.0,37.034,27.89,-99999.0,-99999.0,27.83,-99999.0,278.10001,6.1 +356,2019-12-23 12:00:00+00:00,36.922,-99999.0,37.038,27.82,-99999.0,-99999.0,27.81,-99999.0,269.20001,6.7 +357,2019-12-24 12:00:00+00:00,36.928,-99999.0,37.044,27.84,-99999.0,-99999.0,27.79,-99999.0,268.0,7.1 +358,2019-12-25 12:00:00+00:00,36.927,-99999.0,37.043,27.81,-99999.0,-99999.0,27.77,-99999.0,268.60001,6.9 +359,2019-12-26 12:00:00+00:00,36.94,-99999.0,37.055,27.83,-99999.0,-99999.0,27.78,-99999.0,273.89999,6.1 +360,2019-12-27 12:00:00+00:00,36.954,-99999.0,37.067,27.86,-99999.0,-99999.0,27.78,-99999.0,283.0,5.7 +361,2019-12-28 12:00:00+00:00,36.965,-99999.0,37.08,27.96,-99999.0,-99999.0,27.8,-99999.0,271.89999,4.3 +362,2019-12-29 12:00:00+00:00,36.986,-99999.0,37.095,28.08,-99999.0,-99999.0,27.82,-99999.0,246.5,2.5 +363,2019-12-30 12:00:00+00:00,36.983,-99999.0,37.099,27.86,-99999.0,-99999.0,27.79,-99999.0,244.7,6.2 +364,2019-12-31 12:00:00+00:00,36.95,-99999.0,37.082,27.69,-99999.0,-99999.0,27.64,-99999.0,252.39999,5.8 +365,2020-01-01 12:00:00+00:00,36.961,-99999.0,37.087,27.74,-99999.0,-99999.0,27.71,-99999.0,244.39999,5.4 +366,2020-01-02 12:00:00+00:00,36.957,-99999.0,37.094,27.74,-99999.0,-99999.0,27.73,-99999.0,239.2,6.2 +367,2020-01-03 12:00:00+00:00,36.931,-99999.0,37.09,27.83,-99999.0,-99999.0,27.76,-99999.0,239.7,5.1 +368,2020-01-04 12:00:00+00:00,36.928,-99999.0,37.128,27.84,-99999.0,-99999.0,27.77,-99999.0,242.60001,5.8 +369,2020-01-05 12:00:00+00:00,36.884,-99999.0,37.139,27.96,-99999.0,-99999.0,27.8,-99999.0,241.7,4.9 +370,2020-01-06 12:00:00+00:00,36.848,-99999.0,37.154,27.9,-99999.0,-99999.0,27.83,-99999.0,260.10001,6.0 +371,2020-01-07 12:00:00+00:00,36.847,-99999.0,37.161,27.94,-99999.0,-99999.0,27.78,-99999.0,255.0,4.1 +372,2020-01-08 12:00:00+00:00,36.872,-99999.0,37.188,28.01,-99999.0,-99999.0,27.8,-99999.0,259.89999,4.4 +373,2020-01-09 12:00:00+00:00,37.005,-99999.0,37.2,27.95,-99999.0,-99999.0,27.82,-99999.0,261.79999,4.6 +374,2020-01-10 12:00:00+00:00,37.235,-99999.0,37.191,27.97,-99999.0,-99999.0,27.85,-99999.0,267.10001,5.2 +375,2020-01-11 12:00:00+00:00,37.308,-99999.0,37.114,27.88,-99999.0,-99999.0,27.76,-99999.0,274.0,5.7 +376,2020-01-12 12:00:00+00:00,37.322,-99999.0,37.111,27.93,-99999.0,-99999.0,27.78,-99999.0,269.39999,5.7 +377,2020-01-13 12:00:00+00:00,37.332,-99999.0,37.104,28.03,-99999.0,-99999.0,27.83,-99999.0,275.29999,4.6 +378,2020-01-14 12:00:00+00:00,37.354,-99999.0,37.116,28.2,-99999.0,-99999.0,27.88,-99999.0,270.5,4.0 +379,2020-01-15 12:00:00+00:00,37.371,-99999.0,37.125,28.15,-99999.0,-99999.0,27.94,-99999.0,274.29999,4.4 +380,2020-01-16 12:00:00+00:00,37.379,-99999.0,37.115,28.14,-99999.0,-99999.0,28.02,-99999.0,269.10001,5.2 +381,2020-01-17 12:00:00+00:00,37.402,-99999.0,37.12,28.18,-99999.0,-99999.0,28.06,-99999.0,270.89999,4.9 +382,2020-01-18 12:00:00+00:00,37.435,-99999.0,37.132,28.32,-99999.0,-99999.0,28.11,-99999.0,274.39999,3.9 +383,2020-01-19 12:00:00+00:00,37.458,-99999.0,37.151,28.26,-99999.0,-99999.0,28.14,-99999.0,272.10001,5.1 +384,2020-01-20 12:00:00+00:00,37.444,-99999.0,37.168,28.34,-99999.0,-99999.0,28.21,-99999.0,265.89999,3.7 +385,2020-01-21 12:00:00+00:00,36.126,-99999.0,37.204,28.38,-99999.0,-99999.0,28.29,-99999.0,234.7,5.0 +386,2020-01-22 12:00:00+00:00,-9999.0,-99999.0,37.197,28.35,-99999.0,-99999.0,28.31,-99999.0,238.10001,6.8 +387,2020-01-23 12:00:00+00:00,-9999.0,-99999.0,37.193,28.33,-99999.0,-99999.0,28.31,-99999.0,248.10001,7.0 +388,2020-01-24 12:00:00+00:00,-9999.0,-99999.0,37.207,28.24,-99999.0,-99999.0,28.23,-99999.0,241.3,6.6 +389,2020-01-25 12:00:00+00:00,-9999.0,-99999.0,37.229,28.29,-99999.0,-99999.0,28.22,-99999.0,246.5,5.8 +390,2020-01-26 12:00:00+00:00,-9999.0,-99999.0,37.212,28.4,-99999.0,-99999.0,28.19,-99999.0,241.89999,5.1 +391,2020-01-27 12:00:00+00:00,-9999.0,-99999.0,37.222,28.45,-99999.0,-99999.0,28.24,-99999.0,265.70001,4.9 +392,2020-01-28 12:00:00+00:00,-9999.0,-99999.0,37.27,28.47,-99999.0,-99999.0,28.26,-99999.0,281.5,4.9 +393,2020-01-29 12:00:00+00:00,-9999.0,-99999.0,37.271,28.42,-99999.0,-99999.0,28.3,-99999.0,286.89999,5.3 +394,2020-01-30 12:00:00+00:00,-9999.0,-99999.0,37.37,28.36,-99999.0,-99999.0,28.22,-99999.0,282.0,5.2 +395,2020-01-31 12:00:00+00:00,-9999.0,-99999.0,37.36,28.29,-99999.0,-99999.0,28.2,-99999.0,267.10001,5.2 +396,2020-02-01 12:00:00+00:00,-9999.0,-99999.0,37.333,28.32,-99999.0,-99999.0,28.17,-99999.0,256.39999,4.7 +397,2020-02-02 12:00:00+00:00,-9999.0,-99999.0,37.35,28.42,-99999.0,-99999.0,28.26,-99999.0,257.79999,5.1 +398,2020-02-03 12:00:00+00:00,-9999.0,-99999.0,37.381,28.48,-99999.0,-99999.0,28.32,-99999.0,267.89999,5.0 +399,2020-02-04 12:00:00+00:00,-9999.0,-99999.0,37.391,28.51,-99999.0,-99999.0,28.35,-99999.0,264.89999,5.1 +400,2020-02-05 12:00:00+00:00,-9999.0,-99999.0,37.38,28.53,-99999.0,-99999.0,28.33,-99999.0,274.10001,4.8 +401,2020-02-06 12:00:00+00:00,-9999.0,-99999.0,37.386,28.54,-99999.0,-99999.0,28.38,-99999.0,265.79999,4.3 +402,2020-02-07 12:00:00+00:00,-9999.0,-99999.0,37.396,28.48,-99999.0,-99999.0,28.4,-99999.0,264.89999,2.7 +403,2020-02-08 12:00:00+00:00,-9999.0,-99999.0,37.406,28.47,-99999.0,-99999.0,28.41,-99999.0,269.10001,5.2 +404,2020-02-09 12:00:00+00:00,-9999.0,-99999.0,37.403,28.58,-99999.0,-99999.0,28.41,-99999.0,270.89999,4.9 +405,2020-02-10 12:00:00+00:00,-9999.0,-99999.0,37.404,28.6,-99999.0,-99999.0,28.47,-99999.0,274.10001,5.2 +406,2020-02-11 12:00:00+00:00,-9999.0,-99999.0,37.403,28.67,-99999.0,-99999.0,28.57,-99999.0,267.5,5.6 +407,2020-02-12 12:00:00+00:00,-9999.0,-99999.0,37.403,28.79,-99999.0,-99999.0,28.6,-99999.0,274.10001,5.2 +408,2020-02-13 12:00:00+00:00,-9999.0,-99999.0,37.348,28.91,-99999.0,-99999.0,28.65,-99999.0,265.70001,4.9 +409,2020-02-14 12:00:00+00:00,-9999.0,-99999.0,37.359,28.76,-99999.0,-99999.0,28.71,-99999.0,273.10001,5.8 +410,2020-02-15 12:00:00+00:00,-9999.0,-99999.0,37.398,28.78,-99999.0,-99999.0,28.69,-99999.0,277.5,4.7 +411,2020-02-16 12:00:00+00:00,-9999.0,-99999.0,37.372,-9999.0,-99999.0,-99999.0,28.71,-99999.0,282.0,5.2 +412,2020-02-17 12:00:00+00:00,-9999.0,-99999.0,37.294,-9999.0,-99999.0,-99999.0,28.62,-99999.0,274.60001,6.8 +413,2020-02-18 12:00:00+00:00,-9999.0,-99999.0,37.302,28.61,-99999.0,-99999.0,28.58,-99999.0,274.79999,5.9 +414,2020-02-19 12:00:00+00:00,-9999.0,-99999.0,37.307,-9999.0,-99999.0,-99999.0,28.51,-99999.0,282.79999,3.8 +415,2020-02-20 12:00:00+00:00,-9999.0,-99999.0,37.279,-9999.0,-99999.0,-99999.0,28.43,-99999.0,267.5,5.6 +416,2020-02-21 12:00:00+00:00,-9999.0,-99999.0,37.29,-9999.0,-99999.0,-99999.0,28.42,-99999.0,274.29999,4.4 +417,2020-02-22 12:00:00+00:00,-9999.0,-99999.0,37.283,-9999.0,-99999.0,-99999.0,28.49,-99999.0,263.89999,3.5 +418,2020-02-23 12:00:00+00:00,-9999.0,-99999.0,37.258,-9999.0,-99999.0,-99999.0,28.53,-99999.0,246.5,3.9 +419,2020-02-24 12:00:00+00:00,-9999.0,-99999.0,37.228,-9999.0,-99999.0,-99999.0,28.54,-99999.0,289.60001,4.5 +420,2020-02-25 12:00:00+00:00,-9999.0,-99999.0,37.268,-9999.0,-99999.0,-99999.0,28.53,-99999.0,280.79999,5.3 +421,2020-02-26 12:00:00+00:00,-9999.0,-99999.0,37.283,-9999.0,-99999.0,-99999.0,28.44,-99999.0,267.39999,4.5 +422,2020-02-27 12:00:00+00:00,-9999.0,-99999.0,37.307,-9999.0,-99999.0,-99999.0,28.48,-99999.0,241.7,4.9 +423,2020-02-28 12:00:00+00:00,-9999.0,-99999.0,37.322,-9999.0,-99999.0,-99999.0,28.51,-99999.0,258.60001,5.7 +424,2020-02-29 12:00:00+00:00,-9999.0,-99999.0,37.292,-9999.0,-99999.0,-99999.0,28.52,-99999.0,278.29999,5.0 +425,2020-03-01 12:00:00+00:00,-9999.0,-99999.0,37.26,-9999.0,-99999.0,-99999.0,28.56,-99999.0,283.39999,3.1 +426,2020-03-02 12:00:00+00:00,-9999.0,-99999.0,37.277,-9999.0,-99999.0,-99999.0,28.68,-99999.0,280.20001,3.0 +427,2020-03-03 12:00:00+00:00,-9999.0,-99999.0,37.288,-9999.0,-99999.0,-99999.0,28.82,-99999.0,261.79999,4.6 +428,2020-03-04 12:00:00+00:00,-9999.0,-99999.0,37.26,-9999.0,-99999.0,-99999.0,28.89,-99999.0,250.60001,5.6 +429,2020-03-05 12:00:00+00:00,-9999.0,-99999.0,37.22,-9999.0,-99999.0,-99999.0,28.89,-99999.0,230.2,5.0 +430,2020-03-06 12:00:00+00:00,-9999.0,-99999.0,37.217,-9999.0,-99999.0,-99999.0,28.95,-99999.0,217.39999,4.2 +431,2020-03-07 12:00:00+00:00,-9999.0,-99999.0,37.193,-9999.0,-99999.0,-99999.0,29.03,-99999.0,254.60001,3.0 +432,2020-03-08 12:00:00+00:00,-9999.0,-99999.0,37.131,-9999.0,-99999.0,-99999.0,29.08,-99999.0,260.5,4.2 +433,2020-03-09 12:00:00+00:00,-9999.0,-99999.0,37.169,-9999.0,-99999.0,-99999.0,29.15,-99999.0,269.70001,4.6 +434,2020-03-10 12:00:00+00:00,-9999.0,-99999.0,37.127,-9999.0,-99999.0,-99999.0,29.16,-99999.0,262.79999,5.0 +435,2020-03-11 12:00:00+00:00,-9999.0,-99999.0,37.094,-9999.0,-99999.0,-99999.0,28.99,-99999.0,270.0,5.1 +436,2020-03-12 12:00:00+00:00,-9999.0,-99999.0,37.152,-9999.0,-99999.0,-99999.0,28.93,-99999.0,274.89999,5.5 +437,2020-03-13 12:00:00+00:00,-9999.0,-99999.0,37.127,-9999.0,-99999.0,-99999.0,28.75,-99999.0,280.20001,5.1 +438,2020-03-14 12:00:00+00:00,-9999.0,-99999.0,37.092,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0 +439,2020-03-15 12:00:00+00:00,-9999.0,-99999.0,37.099,-9999.0,-99999.0,-99999.0,28.71,-99999.0,289.0,6.5 +440,2020-03-16 12:00:00+00:00,-9999.0,-99999.0,37.091,-9999.0,-99999.0,-99999.0,28.7,-99999.0,278.89999,7.1 +441,2020-03-17 12:00:00+00:00,-9999.0,-99999.0,37.08,-9999.0,-99999.0,-99999.0,28.61,-99999.0,241.3,4.5 +442,2020-03-18 12:00:00+00:00,-9999.0,-99999.0,37.06,-9999.0,-99999.0,-99999.0,28.58,-99999.0,238.39999,5.7 +443,2020-03-19 12:00:00+00:00,-9999.0,-99999.0,37.086,-9999.0,-99999.0,-99999.0,28.68,-99999.0,250.39999,5.8 +444,2020-03-20 12:00:00+00:00,-9999.0,-99999.0,37.076,-9999.0,-99999.0,-99999.0,28.64,-99999.0,241.7,4.9 +445,2020-03-21 12:00:00+00:00,-9999.0,-99999.0,37.093,-9999.0,-99999.0,-99999.0,28.68,-99999.0,203.60001,3.9 +446,2020-03-22 12:00:00+00:00,-9999.0,-99999.0,37.083,-9999.0,-99999.0,-99999.0,28.72,-99999.0,179.3,4.2 +447,2020-03-23 12:00:00+00:00,-9999.0,-99999.0,37.078,-9999.0,-99999.0,-99999.0,28.76,-99999.0,136.8,3.1 +448,2020-03-24 12:00:00+00:00,-9999.0,-99999.0,37.084,-9999.0,-99999.0,-99999.0,28.85,-99999.0,121.0,1.9 +449,2020-03-25 12:00:00+00:00,-9999.0,-99999.0,37.101,-9999.0,-99999.0,-99999.0,28.85,-99999.0,356.5,2.5 +450,2020-03-26 12:00:00+00:00,-9999.0,-99999.0,37.106,-9999.0,-99999.0,-99999.0,28.89,-99999.0,212.8,0.9 +451,2020-03-27 12:00:00+00:00,-9999.0,-99999.0,37.101,-9999.0,-99999.0,-99999.0,28.87,-99999.0,284.70001,3.6 +452,2020-03-28 12:00:00+00:00,-9999.0,-99999.0,37.135,-9999.0,-99999.0,-99999.0,29.06,-99999.0,285.20001,6.4 +453,2020-03-29 12:00:00+00:00,-9999.0,-99999.0,37.155,-9999.0,-99999.0,-99999.0,29.08,-99999.0,293.89999,6.8 +454,2020-03-30 12:00:00+00:00,-9999.0,-99999.0,37.163,-9999.0,-99999.0,-99999.0,29.06,-99999.0,274.10001,4.8 +455,2020-03-31 12:00:00+00:00,-9999.0,-99999.0,37.163,-9999.0,-99999.0,-99999.0,29.03,-99999.0,291.5,4.6 +456,2020-04-01 12:00:00+00:00,-9999.0,-99999.0,37.174,-9999.0,-99999.0,-99999.0,29.04,-99999.0,285.20001,5.2 +457,2020-04-02 12:00:00+00:00,-9999.0,-99999.0,37.183,-9999.0,-99999.0,-99999.0,29.04,-99999.0,287.89999,4.6 +458,2020-04-03 12:00:00+00:00,-9999.0,-99999.0,37.206,-9999.0,-99999.0,-99999.0,29.05,-99999.0,257.79999,3.2 +459,2020-04-04 12:00:00+00:00,-9999.0,-99999.0,37.211,-9999.0,-99999.0,-99999.0,29.07,-99999.0,208.60001,4.6 +460,2020-04-05 12:00:00+00:00,-9999.0,-99999.0,37.231,-9999.0,-99999.0,-99999.0,29.13,-99999.0,234.39999,3.0 +461,2020-04-06 12:00:00+00:00,-9999.0,-99999.0,37.247,-9999.0,-99999.0,-99999.0,29.19,-99999.0,281.5,2.6 +462,2020-04-07 12:00:00+00:00,-9999.0,-99999.0,37.249,-9999.0,-99999.0,-99999.0,29.22,-99999.0,241.7,2.5 +463,2020-04-08 12:00:00+00:00,-9999.0,-99999.0,37.3,-9999.0,-99999.0,-99999.0,29.24,-99999.0,256.0,2.6 +464,2020-04-09 12:00:00+00:00,-9999.0,-99999.0,37.332,-9999.0,-99999.0,-99999.0,29.24,-99999.0,228.10001,2.7 +465,2020-04-10 12:00:00+00:00,-9999.0,-99999.0,37.296,-9999.0,-99999.0,-99999.0,29.12,-99999.0,254.10001,3.1 +466,2020-04-11 12:00:00+00:00,-9999.0,-99999.0,37.279,-9999.0,-99999.0,-99999.0,29.22,-99999.0,263.39999,4.9 +467,2020-04-12 12:00:00+00:00,-9999.0,-99999.0,37.278,-9999.0,-99999.0,-99999.0,29.2,-99999.0,259.89999,4.4 +468,2020-04-13 12:00:00+00:00,-9999.0,-99999.0,37.287,-9999.0,-99999.0,-99999.0,29.18,-99999.0,271.89999,4.3 +469,2020-04-14 12:00:00+00:00,-9999.0,-99999.0,37.285,-9999.0,-99999.0,-99999.0,29.12,-99999.0,279.39999,4.1 +470,2020-04-15 12:00:00+00:00,-9999.0,-99999.0,37.285,-9999.0,-99999.0,-99999.0,29.12,-99999.0,257.79999,4.2 +471,2020-04-16 12:00:00+00:00,-9999.0,-99999.0,37.318,-9999.0,-99999.0,-99999.0,29.2,-99999.0,276.0,5.3 +472,2020-04-17 12:00:00+00:00,-9999.0,-99999.0,37.32,-9999.0,-99999.0,-99999.0,29.15,-99999.0,285.20001,5.2 +473,2020-04-18 12:00:00+00:00,-9999.0,-99999.0,37.324,-9999.0,-99999.0,-99999.0,29.11,-99999.0,289.89999,5.0 +474,2020-04-19 12:00:00+00:00,-9999.0,-99999.0,37.33,-9999.0,-99999.0,-99999.0,29.14,-99999.0,286.29999,4.7 +475,2020-04-20 12:00:00+00:00,-9999.0,-99999.0,37.333,-9999.0,-99999.0,-99999.0,29.17,-99999.0,285.79999,3.0 +476,2020-04-21 12:00:00+00:00,-9999.0,-99999.0,37.322,-9999.0,-99999.0,-99999.0,29.18,-99999.0,287.39999,4.0 +477,2020-04-22 12:00:00+00:00,-9999.0,-99999.0,37.311,-9999.0,-99999.0,-99999.0,29.19,-99999.0,263.20001,4.2 +478,2020-04-23 12:00:00+00:00,-9999.0,-99999.0,37.298,-9999.0,-99999.0,-99999.0,29.21,-99999.0,275.89999,3.8 +479,2020-04-24 12:00:00+00:00,-9999.0,-99999.0,37.323,-9999.0,-99999.0,-99999.0,29.21,-99999.0,305.5,4.7 +480,2020-04-25 12:00:00+00:00,-9999.0,-99999.0,37.314,-9999.0,-99999.0,-99999.0,29.1,-99999.0,300.5,5.5 +481,2020-04-26 12:00:00+00:00,-9999.0,-99999.0,37.314,-9999.0,-99999.0,-99999.0,29.09,-99999.0,298.39999,5.8 +482,2020-04-27 12:00:00+00:00,-9999.0,-99999.0,37.306,-9999.0,-99999.0,-99999.0,29.11,-99999.0,298.60001,4.6 +483,2020-04-28 12:00:00+00:00,-9999.0,-99999.0,37.3,-9999.0,-99999.0,-99999.0,29.09,-99999.0,304.0,5.2 +484,2020-04-29 12:00:00+00:00,-9999.0,-99999.0,37.299,-9999.0,-99999.0,-99999.0,29.04,-99999.0,301.5,4.9 +485,2020-04-30 12:00:00+00:00,-9999.0,-99999.0,37.294,-9999.0,-99999.0,-99999.0,29.02,-99999.0,275.79999,5.7 +486,2020-05-01 12:00:00+00:00,-9999.0,-99999.0,37.274,-9999.0,-99999.0,-99999.0,29.01,-99999.0,273.10001,5.0 +487,2020-05-02 12:00:00+00:00,-9999.0,-99999.0,37.274,-9999.0,-99999.0,-99999.0,28.98,-99999.0,274.10001,5.2 +488,2020-05-03 12:00:00+00:00,-9999.0,-99999.0,37.279,-9999.0,-99999.0,-99999.0,28.95,-99999.0,260.5,2.6 +489,2020-05-04 12:00:00+00:00,-9999.0,-99999.0,37.269,-9999.0,-99999.0,-99999.0,28.97,-99999.0,320.60001,4.4 +490,2020-05-05 12:00:00+00:00,-9999.0,-99999.0,37.254,-9999.0,-99999.0,-99999.0,28.97,-99999.0,309.89999,6.7 +491,2020-05-06 12:00:00+00:00,-9999.0,-99999.0,37.217,-9999.0,-99999.0,-99999.0,28.94,-99999.0,273.89999,6.1 +492,2020-05-07 12:00:00+00:00,-9999.0,-99999.0,37.21,-9999.0,-99999.0,-99999.0,28.91,-99999.0,262.79999,5.0 +493,2020-05-08 12:00:00+00:00,-9999.0,-99999.0,37.225,-9999.0,-99999.0,-99999.0,28.98,-99999.0,265.89999,3.7 +494,2020-05-09 12:00:00+00:00,-9999.0,-99999.0,37.228,-9999.0,-99999.0,-99999.0,29.06,-99999.0,296.10001,5.3 +495,2020-05-10 12:00:00+00:00,-9999.0,-99999.0,37.207,-9999.0,-99999.0,-99999.0,29.03,-99999.0,289.89999,5.0 +496,2020-05-11 12:00:00+00:00,-9999.0,-99999.0,37.154,-9999.0,-99999.0,-99999.0,29.02,-99999.0,297.5,5.4 +497,2020-05-12 12:00:00+00:00,-9999.0,-99999.0,37.172,-9999.0,-99999.0,-99999.0,29.02,-99999.0,296.5,8.0 +498,2020-05-13 12:00:00+00:00,-9999.0,-99999.0,37.23,-9999.0,-99999.0,-99999.0,28.98,-99999.0,280.70001,6.7 +499,2020-05-14 12:00:00+00:00,-9999.0,-99999.0,37.332,-9999.0,-99999.0,-99999.0,28.94,-99999.0,272.29999,6.4 +500,2020-05-15 12:00:00+00:00,-9999.0,-99999.0,37.415,-9999.0,-99999.0,-99999.0,28.93,-99999.0,276.79999,5.6 +501,2020-05-16 12:00:00+00:00,-9999.0,-99999.0,37.502,-9999.0,-99999.0,-99999.0,28.89,-99999.0,302.79999,5.1 +502,2020-05-17 12:00:00+00:00,-9999.0,-99999.0,37.528,-9999.0,-99999.0,-99999.0,28.87,-99999.0,303.60001,4.1 +503,2020-05-18 12:00:00+00:00,-9999.0,-99999.0,37.549,-9999.0,-99999.0,-99999.0,28.87,-99999.0,284.39999,4.6 +504,2020-05-19 12:00:00+00:00,-9999.0,-99999.0,37.558,-9999.0,-99999.0,-99999.0,28.85,-99999.0,289.5,8.1 +505,2020-05-20 12:00:00+00:00,-9999.0,-99999.0,37.557,-9999.0,-99999.0,-99999.0,28.82,-99999.0,301.70001,8.7 +506,2020-05-21 12:00:00+00:00,-9999.0,-99999.0,37.532,-9999.0,-99999.0,-99999.0,28.76,-99999.0,292.39999,9.1 +507,2020-05-22 12:00:00+00:00,-9999.0,-99999.0,37.509,-9999.0,-99999.0,-99999.0,28.68,-99999.0,273.10001,7.5 +508,2020-05-23 12:00:00+00:00,-9999.0,-99999.0,37.492,-9999.0,-99999.0,-99999.0,28.65,-99999.0,272.29999,6.9 +509,2020-05-24 12:00:00+00:00,-9999.0,-99999.0,37.508,-9999.0,-99999.0,-99999.0,28.65,-99999.0,271.5,6.6 +510,2020-05-25 12:00:00+00:00,-9999.0,-99999.0,37.527,-9999.0,-99999.0,-99999.0,28.63,-99999.0,260.5,5.8 +511,2020-05-26 12:00:00+00:00,-9999.0,-99999.0,37.534,-9999.0,-99999.0,-99999.0,28.63,-99999.0,222.8,5.5 +512,2020-05-27 12:00:00+00:00,-9999.0,-99999.0,37.546,-9999.0,-99999.0,-99999.0,28.62,-99999.0,199.7,4.5 +513,2020-05-28 12:00:00+00:00,-9999.0,-99999.0,37.552,-9999.0,-99999.0,-99999.0,28.63,-99999.0,338.70001,5.2 +514,2020-05-29 12:00:00+00:00,-9999.0,-99999.0,37.543,-9999.0,-99999.0,-99999.0,28.54,-99999.0,330.79999,8.0 +515,2020-05-30 12:00:00+00:00,-9999.0,-99999.0,37.523,-9999.0,-99999.0,-99999.0,28.47,-99999.0,323.29999,7.0 +516,2020-05-31 12:00:00+00:00,-9999.0,-99999.0,37.5,-9999.0,-99999.0,-99999.0,28.41,-99999.0,295.0,6.9 +517,2020-06-01 12:00:00+00:00,-9999.0,-99999.0,37.498,-9999.0,-99999.0,-99999.0,28.4,-99999.0,263.60001,5.5 +518,2020-06-02 12:00:00+00:00,-9999.0,-99999.0,37.481,-9999.0,-99999.0,-99999.0,28.38,-99999.0,253.60001,4.9 +519,2020-06-03 12:00:00+00:00,-9999.0,-99999.0,37.478,-9999.0,-99999.0,-99999.0,28.37,-99999.0,270.0,5.1 +520,2020-06-04 12:00:00+00:00,-9999.0,-99999.0,37.47,-9999.0,-99999.0,-99999.0,28.31,-99999.0,290.29999,6.6 +521,2020-06-05 12:00:00+00:00,-9999.0,-99999.0,37.534,-9999.0,-99999.0,-99999.0,28.24,-99999.0,296.70001,6.2 +522,2020-06-06 12:00:00+00:00,-9999.0,-99999.0,37.579,-9999.0,-99999.0,-99999.0,28.19,-99999.0,300.79999,6.2 +523,2020-06-07 12:00:00+00:00,-9999.0,-99999.0,37.604,-9999.0,-99999.0,-99999.0,28.09,-99999.0,299.20001,5.3 +524,2020-06-08 12:00:00+00:00,-9999.0,-99999.0,37.615,-9999.0,-99999.0,-99999.0,28.04,-99999.0,285.20001,5.2 +525,2020-06-09 12:00:00+00:00,-9999.0,-99999.0,37.606,-9999.0,-99999.0,-99999.0,28.05,-99999.0,282.29999,4.5 +526,2020-06-10 12:00:00+00:00,-9999.0,-99999.0,37.581,-9999.0,-99999.0,-99999.0,28.07,-99999.0,276.5,6.0 +527,2020-06-11 12:00:00+00:00,-9999.0,-99999.0,37.604,-9999.0,-99999.0,-99999.0,28.06,-99999.0,280.70001,6.7 +528,2020-06-12 12:00:00+00:00,-9999.0,-99999.0,37.606,-9999.0,-99999.0,-99999.0,27.96,-99999.0,287.10001,7.3 +529,2020-06-13 12:00:00+00:00,-9999.0,-99999.0,37.578,-9999.0,-99999.0,-99999.0,27.83,-99999.0,298.79999,7.8 +530,2020-06-14 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,299.60001,7.0 +531,2020-06-15 12:00:00+00:00,-9999.0,-99999.0,37.629,-9999.0,-99999.0,-99999.0,27.76,-99999.0,300.70001,8.8 +532,2020-06-16 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,303.20001,8.3 +533,2020-06-17 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,304.20001,8.9 +534,2020-06-18 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,289.70001,8.9 +535,2020-06-19 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,277.70001,8.8 +536,2020-06-20 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,299.39999,8.2 +537,2020-06-21 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,291.5,7.0 +538,2020-06-22 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,300.70001,8.8 +539,2020-06-23 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,304.10001,7.1 +540,2020-06-24 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,304.5,9.3 +541,2020-06-25 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,282.5,8.1 +542,2020-06-26 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,267.70001,6.6 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12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,295.89999,5.5 +561,2020-07-15 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,300.0,6.7 +562,2020-07-16 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,309.89999,8.4 +563,2020-07-17 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,305.29999,7.7 +564,2020-07-18 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,301.29999,8.2 +565,2020-07-19 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,300.39999,9.1 +566,2020-07-20 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,289.60001,8.4 +567,2020-07-21 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,296.20001,8.6 +568,2020-07-22 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,285.89999,7.2 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12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,301.60001,8.0 +578,2020-08-01 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,309.29999,8.2 +579,2020-08-02 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,311.60001,6.2 +580,2020-08-03 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,312.39999,6.3 +581,2020-08-04 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,303.70001,7.3 +582,2020-08-05 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,302.10001,8.4 +583,2020-08-06 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,297.79999,8.9 +584,2020-08-07 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,302.39999,8.8 +585,2020-08-08 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,298.5,8.1 +586,2020-08-09 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,291.5,7.8 +587,2020-08-10 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,281.79999,5.9 +588,2020-08-11 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,290.20001,6.1 +589,2020-08-12 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,284.0,7.5 +590,2020-08-13 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,284.20001,7.8 +591,2020-08-14 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,276.5,6.0 +592,2020-08-15 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,266.60001,6.4 +593,2020-08-16 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,270.10001,7.0 +594,2020-08-17 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,281.29999,5.6 +595,2020-08-18 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,275.39999,6.6 +596,2020-08-19 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,284.10001,6.5 +597,2020-08-20 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,291.5,5.4 +598,2020-08-21 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,302.0,4.0 +599,2020-08-22 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,282.89999,4.8 +600,2020-08-23 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,278.5,3.9 +601,2020-08-24 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,291.5,1.3 +602,2020-08-25 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,5.5,6.2 +603,2020-08-26 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,27.0,4.5 +604,2020-08-27 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,246.5,2.3 +605,2020-08-28 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,283.39999,5.0 +606,2020-08-29 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,266.89999,7.4 +607,2020-08-30 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,288.0,6.9 +608,2020-08-31 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,291.5,7.3 +609,2020-09-01 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,303.60001,8.0 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12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,290.20001,6.1 +619,2020-09-11 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,287.89999,6.6 +620,2020-09-12 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,289.20001,7.0 +621,2020-09-13 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,289.60001,8.7 +622,2020-09-14 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,277.5,7.0 +623,2020-09-15 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,279.29999,7.3 +624,2020-09-16 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,290.0,5.5 +625,2020-09-17 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,290.0,5.5 +626,2020-09-18 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,276.79999,5.6 +627,2020-09-19 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,269.70001,6.1 +628,2020-09-20 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,256.79999,6.7 +629,2020-09-21 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,256.5,6.9 +630,2020-09-22 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,254.60001,5.7 +631,2020-09-23 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,280.79999,5.3 +632,2020-09-24 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,289.89999,5.3 +633,2020-09-25 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,284.89999,6.1 +634,2020-09-26 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,298.20001,4.9 +635,2020-09-27 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,281.5,4.9 +636,2020-09-28 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,277.79999,5.4 +637,2020-09-29 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,262.10001,5.2 +638,2020-09-30 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,279.0,5.2 +639,2020-10-01 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,287.5,6.1 +640,2020-10-02 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,291.5,5.7 +641,2020-10-03 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,285.20001,5.2 +642,2020-10-04 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,285.20001,3.9 +643,2020-10-05 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,288.10001,4.9 +644,2020-10-06 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,273.10001,4.5 +645,2020-10-07 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,252.2,4.1 +646,2020-10-08 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,244.3,5.2 +647,2020-10-09 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,230.3,6.4 +648,2020-10-10 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,222.5,7.8 +649,2020-10-11 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,219.2,6.9 +650,2020-10-12 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,270.0,5.1 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12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,288.60001,5.7 +660,2020-10-22 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,295.89999,5.5 +661,2020-10-23 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,298.89999,6.5 +662,2020-10-24 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,279.20001,6.6 +663,2020-10-25 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,251.7,6.6 +664,2020-10-26 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,225.8,7.8 +665,2020-10-27 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,227.2,8.4 +666,2020-10-28 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,243.60001,7.9 +667,2020-10-29 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +668,2020-10-30 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +669,2020-10-31 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 +670,2020-11-01 12:00:00+00:00,36.555,-99999.0,36.785,26.26,-99999.0,-99999.0,26.17,-99999.0,237.0,7.3 +671,2020-11-02 12:00:00+00:00,36.66,-99999.0,36.835,26.33,-99999.0,-99999.0,26.25,-99999.0,208.89999,6.6 +672,2020-11-03 12:00:00+00:00,36.733,-99999.0,36.885,26.43,-99999.0,-99999.0,26.28,-99999.0,224.3,6.0 +673,2020-11-04 12:00:00+00:00,36.798,-99999.0,36.91,26.47,-99999.0,-99999.0,26.36,-99999.0,228.7,6.0 +674,2020-11-05 12:00:00+00:00,36.915,-99999.0,36.933,26.59,-99999.0,-99999.0,26.47,-99999.0,257.0,5.6 +675,2020-11-06 12:00:00+00:00,36.967,-99999.0,36.908,26.61,-99999.0,-99999.0,26.53,-99999.0,273.10001,7.2 +676,2020-11-07 12:00:00+00:00,36.98,-99999.0,36.908,26.6,-99999.0,-99999.0,26.54,-99999.0,272.39999,7.4 +677,2020-11-08 12:00:00+00:00,37.01,-99999.0,36.938,26.54,-99999.0,-99999.0,26.49,-99999.0,276.60001,7.2 +678,2020-11-09 12:00:00+00:00,36.973,-99999.0,36.904,26.29,-99999.0,-99999.0,26.22,-99999.0,267.10001,6.9 +679,2020-11-10 12:00:00+00:00,36.97,-99999.0,36.902,26.29,-99999.0,-99999.0,26.21,-99999.0,266.5,7.1 +680,2020-11-11 12:00:00+00:00,36.995,-99999.0,36.934,26.31,-99999.0,-99999.0,26.22,-99999.0,267.70001,6.7 +681,2020-11-12 12:00:00+00:00,36.998,-99999.0,36.939,26.49,-99999.0,-99999.0,26.38,-99999.0,266.10001,6.1 +682,2020-11-13 12:00:00+00:00,37.008,-99999.0,36.967,26.53,-99999.0,-99999.0,26.46,-99999.0,260.10001,6.9 +683,2020-11-14 12:00:00+00:00,37.023,-99999.0,37.001,26.6,-99999.0,-99999.0,26.52,-99999.0,260.10001,6.9 +684,2020-11-15 12:00:00+00:00,37.019,-99999.0,37.02,26.6,-99999.0,-99999.0,26.53,-99999.0,251.7,6.7 +685,2020-11-16 12:00:00+00:00,37.018,-99999.0,37.034,26.54,-99999.0,-99999.0,26.5,-99999.0,253.39999,6.7 +686,2020-11-17 12:00:00+00:00,37.035,-99999.0,37.067,26.53,-99999.0,-99999.0,26.45,-99999.0,260.5,6.7 +687,2020-11-18 12:00:00+00:00,37.057,-99999.0,37.093,26.68,-99999.0,-99999.0,26.6,-99999.0,268.29999,6.5 +688,2020-11-19 12:00:00+00:00,37.018,-99999.0,37.065,26.78,-99999.0,-99999.0,26.73,-99999.0,258.10001,7.0 +689,2020-11-20 12:00:00+00:00,36.98,-99999.0,37.031,26.84,-99999.0,-99999.0,26.78,-99999.0,256.20001,7.2 +690,2020-11-21 12:00:00+00:00,36.982,-99999.0,37.031,26.88,-99999.0,-99999.0,26.82,-99999.0,252.8,7.3 +691,2020-11-22 12:00:00+00:00,37.004,-99999.0,37.06,26.83,-99999.0,-99999.0,26.77,-99999.0,272.29999,6.5 +692,2020-11-23 12:00:00+00:00,37.055,-99999.0,37.111,26.78,-99999.0,-99999.0,26.72,-99999.0,293.70001,7.4 +693,2020-11-24 12:00:00+00:00,37.001,-99999.0,37.088,26.72,-99999.0,-99999.0,26.65,-99999.0,309.10001,6.2 +694,2020-11-25 12:00:00+00:00,36.965,-99999.0,37.042,26.7,-99999.0,-99999.0,26.64,-99999.0,291.5,6.9 +695,2020-11-26 12:00:00+00:00,36.914,-99999.0,36.985,26.73,-99999.0,-99999.0,26.62,-99999.0,290.20001,6.5 +696,2020-11-27 12:00:00+00:00,36.902,-99999.0,36.975,26.71,-99999.0,-99999.0,26.64,-99999.0,282.0,7.0 +697,2020-11-28 12:00:00+00:00,36.883,-99999.0,36.954,26.64,-99999.0,-99999.0,26.59,-99999.0,280.20001,8.0 +698,2020-11-29 12:00:00+00:00,36.907,-99999.0,36.973,26.64,-99999.0,-99999.0,26.56,-99999.0,285.89999,7.3 +699,2020-11-30 12:00:00+00:00,36.93,-99999.0,37.0,26.61,-99999.0,-99999.0,26.55,-99999.0,284.70001,7.2 +700,2020-12-01 12:00:00+00:00,36.937,-99999.0,37.007,26.62,-99999.0,-99999.0,26.52,-99999.0,273.10001,6.4 +701,2020-12-02 12:00:00+00:00,36.931,-99999.0,37.001,26.64,-99999.0,-99999.0,26.52,-99999.0,273.89999,6.6 +702,2020-12-03 12:00:00+00:00,36.925,-99999.0,36.998,26.69,-99999.0,-99999.0,26.58,-99999.0,273.89999,6.6 +703,2020-12-04 12:00:00+00:00,36.891,-99999.0,36.964,26.77,-99999.0,-99999.0,26.69,-99999.0,277.5,7.1 +704,2020-12-05 12:00:00+00:00,36.88,-99999.0,36.952,26.81,-99999.0,-99999.0,26.71,-99999.0,278.10001,6.2 +705,2020-12-06 12:00:00+00:00,36.87,-99999.0,36.939,26.95,-99999.0,-99999.0,26.73,-99999.0,270.89999,5.0 +706,2020-12-07 12:00:00+00:00,36.854,-99999.0,36.928,26.93,-99999.0,-99999.0,26.8,-99999.0,280.20001,5.9 +707,2020-12-08 12:00:00+00:00,36.84,-99999.0,36.909,26.95,-99999.0,-99999.0,26.85,-99999.0,275.60001,6.3 +708,2020-12-09 12:00:00+00:00,36.816,-99999.0,36.884,27.02,-99999.0,-99999.0,26.89,-99999.0,271.29999,5.8 +709,2020-12-10 12:00:00+00:00,36.8,-99999.0,36.868,26.99,-99999.0,-99999.0,26.91,-99999.0,273.10001,6.4 +710,2020-12-11 12:00:00+00:00,36.77,-99999.0,36.839,26.91,-99999.0,-99999.0,26.85,-99999.0,280.70001,6.8 +711,2020-12-12 12:00:00+00:00,36.763,-99999.0,36.828,26.92,-99999.0,-99999.0,26.82,-99999.0,276.5,6.1 +712,2020-12-13 12:00:00+00:00,36.766,-99999.0,36.831,26.92,-99999.0,-99999.0,26.82,-99999.0,284.60001,6.0 +713,2020-12-14 12:00:00+00:00,36.762,-99999.0,36.834,26.89,-99999.0,-99999.0,26.81,-99999.0,282.5,5.6 +714,2020-12-15 12:00:00+00:00,36.776,-99999.0,36.84,26.89,-99999.0,-99999.0,26.83,-99999.0,269.39999,5.8 +715,2020-12-16 12:00:00+00:00,36.785,-99999.0,36.851,26.94,-99999.0,-99999.0,26.85,-99999.0,274.0,5.8 +716,2020-12-17 12:00:00+00:00,36.797,-99999.0,36.865,27.01,-99999.0,-99999.0,26.93,-99999.0,268.29999,5.5 +717,2020-12-18 12:00:00+00:00,36.805,-99999.0,36.878,27.1,-99999.0,-99999.0,27.02,-99999.0,252.60001,5.8 +718,2020-12-19 12:00:00+00:00,36.768,-99999.0,36.848,27.16,-99999.0,-99999.0,27.07,-99999.0,244.5,5.9 +719,2020-12-20 12:00:00+00:00,36.712,-99999.0,36.784,27.18,-99999.0,-99999.0,27.11,-99999.0,250.2,6.3 +720,2020-12-21 12:00:00+00:00,36.671,-99999.0,36.74,27.22,-99999.0,-99999.0,27.11,-99999.0,235.60001,5.4 +721,2020-12-22 12:00:00+00:00,36.685,-99999.0,36.754,27.23,-99999.0,-99999.0,27.12,-99999.0,244.5,5.9 +722,2020-12-23 12:00:00+00:00,36.688,-99999.0,36.752,27.19,-99999.0,-99999.0,27.11,-99999.0,231.89999,4.9 +723,2020-12-24 12:00:00+00:00,36.723,-99999.0,36.791,27.11,-99999.0,-99999.0,27.08,-99999.0,242.7,6.1 +724,2020-12-25 12:00:00+00:00,36.689,-99999.0,36.751,27.08,-99999.0,-99999.0,27.03,-99999.0,236.5,7.0 +725,2020-12-26 12:00:00+00:00,36.722,-99999.0,36.783,27.14,-99999.0,-99999.0,27.08,-99999.0,249.89999,6.9 +726,2020-12-27 12:00:00+00:00,36.748,-99999.0,36.808,27.12,-99999.0,-99999.0,27.08,-99999.0,272.39999,7.8 +727,2020-12-28 12:00:00+00:00,36.777,-99999.0,36.836,27.1,-99999.0,-99999.0,27.04,-99999.0,275.89999,7.4 +728,2020-12-29 12:00:00+00:00,36.801,-99999.0,36.859,27.07,-99999.0,-99999.0,27.02,-99999.0,273.10001,6.4 +729,2020-12-30 12:00:00+00:00,36.819,-99999.0,36.877,27.06,-99999.0,-99999.0,27.0,-99999.0,262.20001,6.7 +730,2020-12-31 12:00:00+00:00,36.832,-99999.0,36.89,27.11,-99999.0,-99999.0,27.01,-99999.0,267.29999,6.3 +731,2021-01-01 12:00:00+00:00,36.82,-99999.0,36.872,27.11,-99999.0,-99999.0,26.93,-99999.0,260.5,5.1 +732,2021-01-02 12:00:00+00:00,36.809,-99999.0,36.863,27.06,-99999.0,-99999.0,26.92,-99999.0,253.3,5.2 +733,2021-01-03 12:00:00+00:00,36.808,-99999.0,36.868,26.99,-99999.0,-99999.0,26.92,-99999.0,257.79999,6.2 +734,2021-01-04 12:00:00+00:00,36.825,-99999.0,36.881,26.99,-99999.0,-99999.0,26.92,-99999.0,265.89999,7.3 +735,2021-01-05 12:00:00+00:00,36.83,-99999.0,36.885,27.0,-99999.0,-99999.0,26.92,-99999.0,269.89999,6.6 +736,2021-01-06 12:00:00+00:00,36.862,-99999.0,36.918,27.13,-99999.0,-99999.0,27.03,-99999.0,261.89999,6.1 +737,2021-01-07 12:00:00+00:00,36.855,-99999.0,36.907,27.15,-99999.0,-99999.0,27.04,-99999.0,256.60001,5.8 +738,2021-01-08 12:00:00+00:00,36.857,-99999.0,36.91,27.21,-99999.0,-99999.0,27.05,-99999.0,253.10001,5.4 +739,2021-01-09 12:00:00+00:00,36.874,-99999.0,36.923,27.24,-99999.0,-99999.0,27.11,-99999.0,250.39999,5.9 +740,2021-01-10 12:00:00+00:00,36.879,-99999.0,36.927,27.28,-99999.0,-99999.0,27.14,-99999.0,248.7,5.3 +741,2021-01-11 12:00:00+00:00,36.893,-99999.0,36.937,27.42,-99999.0,-99999.0,27.19,-99999.0,258.79999,4.9 +742,2021-01-12 12:00:00+00:00,36.924,-99999.0,36.963,27.5,-99999.0,-99999.0,27.26,-99999.0,254.3,4.6 +743,2021-01-13 12:00:00+00:00,36.861,-99999.0,36.91,27.34,-99999.0,-99999.0,27.24,-99999.0,256.60001,5.8 +744,2021-01-14 12:00:00+00:00,36.865,-99999.0,36.917,27.3,-99999.0,-99999.0,27.24,-99999.0,263.5,7.6 +745,2021-01-15 12:00:00+00:00,36.888,-99999.0,36.938,27.34,-99999.0,-99999.0,27.27,-99999.0,268.60001,7.0 +746,2021-01-16 12:00:00+00:00,36.921,-99999.0,36.973,27.32,-99999.0,-99999.0,27.28,-99999.0,273.79999,7.5 +747,2021-01-17 12:00:00+00:00,36.947,-99999.0,36.999,27.32,-99999.0,-99999.0,27.27,-99999.0,275.20001,7.1 +748,2021-01-18 12:00:00+00:00,36.954,-99999.0,37.004,27.32,-99999.0,-99999.0,27.25,-99999.0,275.10001,7.6 +749,2021-01-19 12:00:00+00:00,36.979,-99999.0,37.029,27.29,-99999.0,-99999.0,27.24,-99999.0,266.89999,7.5 +750,2021-01-20 12:00:00+00:00,37.012,-99999.0,37.062,27.29,-99999.0,-99999.0,27.22,-99999.0,276.60001,7.2 +751,2021-01-21 12:00:00+00:00,37.057,-99999.0,37.106,27.26,-99999.0,-99999.0,27.2,-99999.0,277.10001,6.4 +752,2021-01-22 12:00:00+00:00,37.121,-99999.0,37.172,27.21,-99999.0,-99999.0,27.16,-99999.0,291.5,6.6 +753,2021-01-23 12:00:00+00:00,37.149,-99999.0,37.2,27.16,-99999.0,-99999.0,27.11,-99999.0,286.10001,6.1 +754,2021-01-24 12:00:00+00:00,37.163,-99999.0,37.213,27.12,-99999.0,-99999.0,27.08,-99999.0,278.70001,6.5 +755,2021-01-25 12:00:00+00:00,37.163,-99999.0,37.211,27.12,-99999.0,-99999.0,27.06,-99999.0,275.20001,7.1 +756,2021-01-26 12:00:00+00:00,37.151,-99999.0,37.203,27.1,-99999.0,-99999.0,27.04,-99999.0,284.20001,7.9 +757,2021-01-27 12:00:00+00:00,37.128,-99999.0,37.181,27.08,-99999.0,-99999.0,27.02,-99999.0,282.79999,7.5 +758,2021-01-28 12:00:00+00:00,37.095,-99999.0,37.146,27.06,-99999.0,-99999.0,26.98,-99999.0,279.70001,7.0 +759,2021-01-29 12:00:00+00:00,37.09,-99999.0,37.139,27.06,-99999.0,-99999.0,26.97,-99999.0,273.89999,6.2 +760,2021-01-30 12:00:00+00:00,37.101,-99999.0,37.154,27.03,-99999.0,-99999.0,26.97,-99999.0,276.89999,6.8 +761,2021-01-31 12:00:00+00:00,37.084,-99999.0,37.132,27.01,-99999.0,-99999.0,26.89,-99999.0,272.20001,6.1 +762,2021-02-01 12:00:00+00:00,37.119,-99999.0,37.171,27.11,-99999.0,-99999.0,27.02,-99999.0,262.39999,5.9 +763,2021-02-02 12:00:00+00:00,37.139,-99999.0,37.19,27.22,-99999.0,-99999.0,27.13,-99999.0,259.0,5.7 +764,2021-02-03 12:00:00+00:00,37.141,-99999.0,-9999.0,27.28,-99999.0,-99999.0,-9999.0,-99999.0,263.60001,5.6 +765,2021-02-04 12:00:00+00:00,37.149,-99999.0,-9999.0,27.29,-99999.0,-99999.0,-9999.0,-99999.0,254.60001,5.8 +766,2021-02-05 12:00:00+00:00,37.161,-99999.0,-9999.0,27.34,-99999.0,-99999.0,-9999.0,-99999.0,251.7,6.7 +767,2021-02-06 12:00:00+00:00,37.154,-99999.0,-9999.0,27.32,-99999.0,-99999.0,-9999.0,-99999.0,258.79999,6.6 +768,2021-02-07 12:00:00+00:00,37.139,-99999.0,-9999.0,27.48,-99999.0,-99999.0,-9999.0,-99999.0,267.10001,5.3 +769,2021-02-08 12:00:00+00:00,37.049,-99999.0,-9999.0,27.46,-99999.0,-99999.0,-9999.0,-99999.0,269.10001,5.3 +770,2021-02-09 12:00:00+00:00,37.04,-99999.0,-9999.0,27.48,-99999.0,-99999.0,-9999.0,-99999.0,272.10001,5.7 +771,2021-02-10 12:00:00+00:00,37.075,-99999.0,-9999.0,27.49,-99999.0,-99999.0,-9999.0,-99999.0,278.10001,6.2 +772,2021-02-11 12:00:00+00:00,37.108,-99999.0,-9999.0,27.51,-99999.0,-99999.0,-9999.0,-99999.0,274.79999,6.0 +773,2021-02-12 12:00:00+00:00,37.131,-99999.0,-9999.0,27.5,-99999.0,-99999.0,-9999.0,-99999.0,280.20001,5.9 +774,2021-02-13 12:00:00+00:00,37.144,-99999.0,-9999.0,27.51,-99999.0,-99999.0,-9999.0,-99999.0,288.60001,5.8 +775,2021-02-14 12:00:00+00:00,37.112,-99999.0,-9999.0,27.56,-99999.0,-99999.0,-9999.0,-99999.0,297.39999,4.3 +776,2021-02-15 12:00:00+00:00,37.072,-99999.0,-9999.0,27.6,-99999.0,-99999.0,-9999.0,-99999.0,289.39999,4.0 +777,2021-02-16 12:00:00+00:00,36.975,-99999.0,-9999.0,27.44,-99999.0,-99999.0,-9999.0,-99999.0,273.10001,3.4 +778,2021-02-17 12:00:00+00:00,36.933,-99999.0,-9999.0,27.45,-99999.0,-99999.0,-9999.0,-99999.0,258.5,6.8 +779,2021-02-18 12:00:00+00:00,36.955,-99999.0,-9999.0,27.5,-99999.0,-99999.0,-9999.0,-99999.0,276.0,7.0 +780,2021-02-19 12:00:00+00:00,36.963,-99999.0,-9999.0,27.54,-99999.0,-99999.0,-9999.0,-99999.0,272.0,4.8 +781,2021-02-20 12:00:00+00:00,36.982,-99999.0,-9999.0,27.54,-99999.0,-99999.0,-9999.0,-99999.0,270.20001,5.6 +782,2021-02-21 12:00:00+00:00,37.013,-99999.0,-9999.0,27.46,-99999.0,-99999.0,-9999.0,-99999.0,284.70001,7.2 +783,2021-02-22 12:00:00+00:00,37.044,-99999.0,-9999.0,27.51,-99999.0,-99999.0,-9999.0,-99999.0,273.10001,5.5 +784,2021-02-23 12:00:00+00:00,37.083,-99999.0,-9999.0,27.44,-99999.0,-99999.0,-9999.0,-99999.0,269.39999,5.8 +785,2021-02-24 12:00:00+00:00,37.101,-99999.0,-9999.0,27.5,-99999.0,-99999.0,-9999.0,-99999.0,268.29999,5.5 +786,2021-02-25 12:00:00+00:00,37.116,-99999.0,-9999.0,27.46,-99999.0,-99999.0,-9999.0,-99999.0,287.5,6.2 +787,2021-02-26 12:00:00+00:00,37.148,-99999.0,-9999.0,27.48,-99999.0,-99999.0,-9999.0,-99999.0,274.60001,6.9 +788,2021-02-27 12:00:00+00:00,37.117,-99999.0,-9999.0,27.58,-99999.0,-99999.0,-9999.0,-99999.0,282.0,5.3 +789,2021-02-28 12:00:00+00:00,37.062,-99999.0,-9999.0,27.57,-99999.0,-99999.0,-9999.0,-99999.0,290.39999,7.5 +790,2021-03-01 12:00:00+00:00,37.043,-99999.0,-9999.0,27.53,-99999.0,-99999.0,-9999.0,-99999.0,290.5,8.3 +791,2021-03-02 12:00:00+00:00,37.038,-99999.0,-9999.0,27.47,-99999.0,-99999.0,-9999.0,-99999.0,293.89999,6.9 +792,2021-03-03 12:00:00+00:00,37.039,-99999.0,-9999.0,27.48,-99999.0,-99999.0,-9999.0,-99999.0,295.29999,6.5 +793,2021-03-04 12:00:00+00:00,37.04,-99999.0,-9999.0,27.49,-99999.0,-99999.0,-9999.0,-99999.0,293.10001,5.4 +794,2021-03-05 12:00:00+00:00,37.046,-99999.0,-9999.0,27.57,-99999.0,-99999.0,-9999.0,-99999.0,276.60001,4.6 +795,2021-03-06 12:00:00+00:00,37.052,-99999.0,-9999.0,27.62,-99999.0,-99999.0,-9999.0,-99999.0,273.10001,4.7 +796,2021-03-07 12:00:00+00:00,37.059,-99999.0,-9999.0,27.72,-99999.0,-99999.0,-9999.0,-99999.0,264.89999,4.6 +797,2021-03-08 12:00:00+00:00,37.087,-99999.0,-9999.0,27.68,-99999.0,-99999.0,-9999.0,-99999.0,276.20001,5.0 +798,2021-03-09 12:00:00+00:00,37.114,-99999.0,-9999.0,27.76,-99999.0,-99999.0,-9999.0,-99999.0,267.10001,3.6 +799,2021-03-10 12:00:00+00:00,37.149,-99999.0,-9999.0,27.73,-99999.0,-99999.0,-9999.0,-99999.0,272.0,4.8 +800,2021-03-11 12:00:00+00:00,37.159,-99999.0,-9999.0,27.73,-99999.0,-99999.0,-9999.0,-99999.0,281.29999,5.7 +801,2021-03-12 12:00:00+00:00,37.158,-99999.0,-9999.0,27.72,-99999.0,-99999.0,-9999.0,-99999.0,295.5,6.2 +802,2021-03-13 12:00:00+00:00,37.14,-99999.0,-9999.0,27.76,-99999.0,-99999.0,-9999.0,-99999.0,276.0,5.4 +803,2021-03-14 12:00:00+00:00,37.135,-99999.0,-9999.0,27.72,-99999.0,-99999.0,-9999.0,-99999.0,292.79999,6.2 +804,2021-03-15 12:00:00+00:00,37.052,-99999.0,-9999.0,27.88,-99999.0,-99999.0,-9999.0,-99999.0,312.29999,4.6 +805,2021-03-16 12:00:00+00:00,37.046,-99999.0,-9999.0,27.94,-99999.0,-99999.0,-9999.0,-99999.0,295.29999,4.4 +806,2021-03-17 12:00:00+00:00,37.04,-99999.0,-9999.0,27.97,-99999.0,-99999.0,-9999.0,-99999.0,301.39999,6.7 +807,2021-03-18 12:00:00+00:00,37.045,-99999.0,-9999.0,27.98,-99999.0,-99999.0,-9999.0,-99999.0,288.89999,6.3 +808,2021-03-19 12:00:00+00:00,37.047,-99999.0,-9999.0,28.0,-99999.0,-99999.0,-9999.0,-99999.0,305.89999,6.4 +809,2021-03-20 12:00:00+00:00,37.044,-99999.0,-9999.0,27.98,-99999.0,-99999.0,-9999.0,-99999.0,314.10001,7.4 +810,2021-03-21 12:00:00+00:00,37.005,-99999.0,-9999.0,27.91,-99999.0,-99999.0,-9999.0,-99999.0,307.29999,7.8 +811,2021-03-22 12:00:00+00:00,37.035,-99999.0,-9999.0,27.9,-99999.0,-99999.0,-9999.0,-99999.0,302.79999,6.6 +812,2021-03-23 12:00:00+00:00,37.027,-99999.0,-9999.0,27.9,-99999.0,-99999.0,-9999.0,-99999.0,306.5,6.1 +813,2021-03-24 12:00:00+00:00,37.024,-99999.0,-9999.0,27.89,-99999.0,-99999.0,-9999.0,-99999.0,291.5,6.0 +814,2021-03-25 12:00:00+00:00,37.028,-99999.0,-9999.0,27.87,-99999.0,-99999.0,-9999.0,-99999.0,291.5,6.0 +815,2021-03-26 12:00:00+00:00,37.032,-99999.0,-9999.0,27.82,-99999.0,-99999.0,-9999.0,-99999.0,294.0,6.6 +816,2021-03-27 12:00:00+00:00,37.044,-99999.0,-9999.0,27.83,-99999.0,-99999.0,-9999.0,-99999.0,287.10001,5.7 +817,2021-03-28 12:00:00+00:00,37.059,-99999.0,-9999.0,27.87,-99999.0,-99999.0,-9999.0,-99999.0,268.29999,4.5 +818,2021-03-29 12:00:00+00:00,37.076,-99999.0,-9999.0,27.87,-99999.0,-99999.0,-9999.0,-99999.0,269.29999,4.3 +819,2021-03-30 12:00:00+00:00,37.093,-99999.0,-9999.0,27.88,-99999.0,-99999.0,-9999.0,-99999.0,253.89999,4.8 +820,2021-03-31 12:00:00+00:00,37.106,-99999.0,-9999.0,27.96,-99999.0,-99999.0,-9999.0,-99999.0,230.2,5.2 +821,2021-04-01 12:00:00+00:00,37.131,-99999.0,-9999.0,27.94,-99999.0,-99999.0,-9999.0,-99999.0,234.39999,5.8 +822,2021-04-02 12:00:00+00:00,37.185,-99999.0,-9999.0,28.04,-99999.0,-99999.0,-9999.0,-99999.0,249.2,4.4 +823,2021-04-03 12:00:00+00:00,37.268,-99999.0,-9999.0,27.99,-99999.0,-99999.0,-9999.0,-99999.0,275.29999,4.7 +824,2021-04-04 12:00:00+00:00,37.281,-99999.0,-9999.0,27.99,-99999.0,-99999.0,-9999.0,-99999.0,270.70001,4.6 +825,2021-04-05 12:00:00+00:00,37.303,-99999.0,-9999.0,28.11,-99999.0,-99999.0,-9999.0,-99999.0,282.5,3.0 +826,2021-04-06 12:00:00+00:00,37.318,-99999.0,-9999.0,28.14,-99999.0,-99999.0,-9999.0,-99999.0,266.10001,3.2 +827,2021-04-07 12:00:00+00:00,37.321,-99999.0,-9999.0,28.06,-99999.0,-99999.0,-9999.0,-99999.0,276.60001,4.6 +828,2021-04-08 12:00:00+00:00,37.321,-99999.0,-9999.0,28.05,-99999.0,-99999.0,-9999.0,-99999.0,272.0,4.8 +829,2021-04-09 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12:00:00+00:00,-9999.0,36.965,36.963,-9999.0,25.99,-99999.0,25.98,-99999.0,285.39999,8.3 +1716,2023-09-13 12:00:00+00:00,-9999.0,36.995,37.006,-9999.0,25.95,-99999.0,25.92,-99999.0,285.29999,7.6 +1717,2023-09-14 12:00:00+00:00,-9999.0,36.946,36.989,-9999.0,25.96,-99999.0,25.92,-99999.0,267.20001,6.1 +1718,2023-09-15 12:00:00+00:00,-9999.0,36.924,36.963,-9999.0,26.01,-99999.0,25.96,-99999.0,257.60001,5.1 +1719,2023-09-16 12:00:00+00:00,-9999.0,36.914,36.925,-9999.0,26.13,-99999.0,26.07,-99999.0,295.79999,6.4 +1720,2023-09-17 12:00:00+00:00,-9999.0,36.926,36.919,-9999.0,26.22,-99999.0,26.22,-99999.0,298.70001,8.3 +1721,2023-09-18 12:00:00+00:00,-9999.0,36.928,36.922,-9999.0,26.19,-99999.0,26.19,-99999.0,294.29999,9.0 From 0ed27c208495455b43f15b604272b1b323db22eb Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 14:43:25 -0300 Subject: [PATCH 11/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index c1ba649..b0a1219 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -26,7 +26,9 @@ Este projeto consiste na análise de dados de desmatamento, CO2 e temperatura da ![image](https://github.com/user-attachments/assets/7fbe99ae-cc0b-4c34-8d6c-09317daf9f32) -- **Base 3**: []() +- **Base 3**: [Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)](https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA..) + +![image](https://github.com/user-attachments/assets/59f08116-8871-483b-9a66-4d4ee7385f07) --- From 6b14ff83a845c012b86d33aafd5fb4761850a12f Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 14:44:05 -0300 Subject: [PATCH 12/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index b0a1219..36f6cfb 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -1,6 +1,7 @@ # Projeto Final de Análise de Dados -Paloma e Anne +Paloma Avena palomaavena@gmail.com +Anne ## Contexto Este projeto consiste na análise de dados de desmatamento, CO2 e temperatura da água do mar do estado da Bahia nos últimos 5 anos. From 16b04a2495bc7d3af721e3c184a39abffc19c828 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 14:48:55 -0300 Subject: [PATCH 13/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 36f6cfb..9ee8620 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -1,10 +1,11 @@ # Projeto Final de Análise de Dados Paloma Avena palomaavena@gmail.com + Anne ## Contexto -Este projeto consiste na análise de dados de desmatamento, CO2 e temperatura da água do mar do estado da Bahia nos últimos 5 anos. +Este projeto consiste na criação de um banco de dados climáticos da Bahia e análise de dados de desmatamento, CO2 e temperatura da água do mar do estado da Bahia nos últimos 5 anos. ## Etapas do projeto: 1. **Selecionar a Base de Dados** [Escolher e explorar a base de dados relevante ao tema.] From 4de8343bbace289e99087f5817ca65d992cb0ce3 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 15:07:13 -0300 Subject: [PATCH 14/90] Add files via upload --- material/mapbiomas.csv | 28398 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 28398 insertions(+) create mode 100644 material/mapbiomas.csv diff --git a/material/mapbiomas.csv b/material/mapbiomas.csv new file mode 100644 index 0000000..5802ab5 --- /dev/null +++ b/material/mapbiomas.csv @@ -0,0 +1,28398 @@ +CODEALERTA,FONTE,BIOMA,ESTADO,MUNICIPIO,AREAHA,ANODETEC,DATADETEC,DTIMGANT,DTIMGDEP,DTPUBLI,VPRESSAO +"1226926",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,2.9600000000,2024.0000000000,2024/01/01,2023/01/26,2024/02/14,2024/04/30,agriculture +"1226922",{SAD-CAATINGA},Caatinga,BAHIA,Miguel Calmon,1.6900000000,2024.0000000000,2024/01/01,2023/06/30,2024/01/31,2024/04/30,agriculture 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+"1263844",{SAD-CERRADO},Cerrado,BAHIA,Correntina,35.9600000000,2024.0000000000,2024/06/01,2024/05/08,2024/06/27,2024/08/12,agriculture +"1260098",{DETER-CERRADO},Cerrado,BAHIA,Cocos,125.6500000000,2024.0000000000,2024/06/01,2024/05/01,2024/06/12,2024/08/12,agriculture +"1259900",{DETER-CERRADO},Cerrado,BAHIA,Cotegipe,86.6600000000,2024.0000000000,2024/06/18,2024/05/31,2024/07/04,2024/08/12,agriculture +"1259789",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,266.2900000000,2024.0000000000,2024/06/24,2024/05/01,2024/08/18,2024/08/12,agriculture +"1259735",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,2.6600000000,2024.0000000000,2024/06/07,2024/04/30,2024/05/30,2024/08/12,agriculture +"1259681",{DETER-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,9.9500000000,2024.0000000000,2024/06/07,2024/05/09,2024/05/17,2024/08/12,agriculture +"1259676",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,6.9400000000,2024.0000000000,2024/06/01,2024/05/03,2024/06/28,2024/08/12,agriculture +"1259568",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,6.5300000000,2024.0000000000,2024/06/01,2024/05/17,2024/05/31,2024/08/12,agriculture +"1259540",{DETER-CERRADO},Cerrado,BAHIA,Igaporã,6.4800000000,2024.0000000000,2024/06/07,2024/04/18,2024/06/22,2024/08/12,agriculture +"1261860",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,54.4200000000,2024.0000000000,2024/04/01,2024/02/05,2024/05/28,2024/08/12,agriculture +"1263525",{SAD-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,11.6300000000,2024.0000000000,2024/05/01,2024/03/09,2024/05/28,2024/08/12,agriculture +"1259410",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,51.1300000000,2024.0000000000,2024/05/03,2024/05/31,2024/06/20,2024/08/12,agriculture +"1259271",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,6.0300000000,2024.0000000000,2024/05/28,2024/04/25,2024/05/28,2024/08/12,agriculture +"1259059",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,9.4200000000,2024.0000000000,2024/05/24,2023/12/25,2024/03/25,2024/08/12,agriculture +"1262193",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,33.5500000000,2024.0000000000,2024/05/01,2024/02/13,2024/05/28,2024/08/12,agriculture +"1263920",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,25.0600000000,2024.0000000000,2024/04/01,2024/03/26,2024/05/05,2024/08/12,agriculture +"1264208",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,20.1900000000,2024.0000000000,2024/04/01,2024/02/05,2024/06/29,2024/08/12,agriculture +"1262375",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,8.3200000000,2024.0000000000,2024/06/01,2024/05/03,2024/06/27,2024/08/12,agriculture +"1262373",{SAD-CERRADO},Cerrado,BAHIA,Cristópolis,32.7600000000,2024.0000000000,2024/05/01,2024/05/05,2024/06/29,2024/08/12,agriculture +"1262519",{SAD-CERRADO},Cerrado,BAHIA,Barreiras,12.2600000000,2024.0000000000,2024/06/01,2023/12/05,2024/06/27,2024/08/12,agriculture +"1263441",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,8.9100000000,2024.0000000000,2024/06/01,2024/03/11,2024/06/29,2024/08/12,agriculture +"1263436",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,10.2400000000,2024.0000000000,2024/06/01,2024/05/03,2024/06/27,2024/08/12,agriculture +"1262781",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,61.2400000000,2024.0000000000,2024/03/01,2023/12/10,2024/06/22,2024/08/12,agriculture +"1262799",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,11.0000000000,2024.0000000000,2024/04/01,2024/03/09,2024/05/03,2024/08/12,agriculture +"1262919",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,44.3800000000,2024.0000000000,2024/06/01,2024/03/09,2024/06/27,2024/08/12,agriculture +"1263020",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,105.8100000000,2024.0000000000,2024/06/01,2024/04/08,2024/06/22,2024/08/12,agriculture +"1263043",{SAD-CERRADO},Cerrado,BAHIA,Cocos,13.4600000000,2024.0000000000,2024/04/01,2024/03/26,2024/05/30,2024/08/12,agriculture +"1260721",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,11.4200000000,2024.0000000000,2024/05/03,2024/05/01,2024/07/05,2024/08/12,agriculture +"1260490",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,212.9400000000,2024.0000000000,2024/05/24,2024/05/05,2024/08/16,2024/08/12,agriculture +"1259170",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,29.6200000000,2024.0000000000,2024/05/13,2023/11/28,2024/02/27,2024/08/12,agriculture +"1260240",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,282.2800000000,2024.0000000000,2024/05/03,2024/04/14,2024/05/28,2024/08/12,agriculture +"1258734",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,7.6200000000,2024.0000000000,2024/05/03,2023/09/08,2023/10/18,2024/08/12,agriculture +"1258556",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,2.2500000000,2024.0000000000,2024/05/24,2024/01/10,2024/05/28,2024/08/12,agriculture +"1258259",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,8.7400000000,2024.0000000000,2024/05/13,2024/06/10,2024/07/30,2024/08/12,agriculture +"1258190",{DETER-CERRADO},Cerrado,BAHIA,Coribe,7.1200000000,2024.0000000000,2024/05/24,2024/04/19,2024/07/11,2024/08/12,agriculture +"1258081",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,24.1700000000,2024.0000000000,2024/05/24,2024/04/14,2024/05/16,2024/08/12,agriculture +"1257882",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,3.0900000000,2024.0000000000,2024/05/03,2024/02/05,2024/03/03,2024/08/12,agriculture +"1257686",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,6.5300000000,2024.0000000000,2024/05/13,2024/03/25,2024/05/31,2024/08/12,agriculture +"1262068",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,25.4800000000,2024.0000000000,2024/03/01,2024/01/19,2024/05/28,2024/08/12,agriculture +"1261921",{SAD-CERRADO},Cerrado,BAHIA,Correntina,141.9800000000,2024.0000000000,2024/03/01,2024/04/03,2024/06/22,2024/08/12,agriculture +"1249450",{SAD-CAATINGA},Caatinga,BAHIA,Coronel João Sá,11.1500000000,2024.0000000000,2024/03/01,2023/08/26,2024/04/12,2024/08/12,agriculture 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Atlântica,BAHIA,Itamaraju,4.0600000000,2024.0000000000,2024/07/31,2024/04/07,2024/06/13,2024/08/16,agriculture +"1271942",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,0.7400000000,2024.0000000000,2024/07/31,2023/12/28,2024/04/07,2024/08/16,agriculture +"1272541",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Vitória da Conquista,3.2200000000,2024.0000000000,2024/07/31,2024/02/25,2024/04/18,2024/08/16,agriculture +"1272487",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.7400000000,2024.0000000000,2024/07/31,2024/02/01,2024/06/30,2024/08/16,agriculture +"1272462",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,13.0800000000,2024.0000000000,2024/07/31,2023/12/11,2024/08/08,2024/08/16,agriculture +"1272445",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,5.5000000000,2024.0000000000,2024/07/31,2023/07/13,2024/05/14,2024/08/16,agriculture +"1272107",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ilhéus,1.2500000000,2024.0000000000,2024/07/31,2024/02/15,2024/05/16,2024/08/16,agriculture +"1272026",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Catu,0.6200000000,2024.0000000000,2024/07/31,2024/02/25,2024/06/14,2024/08/16,agriculture +"1272638",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Taperoá,3.5600000000,2024.0000000000,2024/07/31,2024/01/10,2024/03/11,2024/08/16,agriculture +"1272282",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,2.2400000000,2024.0000000000,2024/07/31,2024/01/02,2024/05/19,2024/08/16,agriculture +"1271473",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,8.4800000000,2024.0000000000,2024/07/31,2024/01/12,2024/04/26,2024/08/16,agriculture +"1271912",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,0.8900000000,2024.0000000000,2024/07/31,2024/01/15,2024/04/18,2024/08/16,agriculture +"1271759",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,0.2800000000,2024.0000000000,2024/07/31,2024/04/07,2024/05/14,2024/08/16,agriculture 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Cabrália,0.6300000000,2024.0000000000,2024/07/31,2024/04/17,2024/05/19,2024/08/16,agriculture +"1270855",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,0.7500000000,2024.0000000000,2024/07/31,2024/02/02,2024/03/21,2024/08/16,agriculture +"1270906",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caatiba,3.8000000000,2024.0000000000,2024/07/31,2024/01/30,2024/03/16,2024/08/16,agriculture +"1271463",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,2.7500000000,2024.0000000000,2024/07/31,2024/03/01,2024/05/13,2024/08/16,agriculture +"1271335",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,1.1900000000,2024.0000000000,2024/07/31,2024/01/03,2024/03/24,2024/08/16,agriculture +"1271219",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,0.7100000000,2024.0000000000,2024/07/31,2024/03/19,2024/05/19,2024/08/16,agriculture +"1271137",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Eunápolis,2.6700000000,2024.0000000000,2024/07/31,2023/12/30,2024/03/18,2024/08/16,agriculture 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Atlântica,BAHIA,Itarantim,5.3700000000,2024.0000000000,2024/07/31,2023/12/30,2024/03/18,2024/08/16,agriculture +"1270572",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Irajuba,2.7100000000,2024.0000000000,2024/07/31,2024/04/18,2024/05/13,2024/08/16,agriculture +"1270469",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Igrapiúna,0.5100000000,2024.0000000000,2024/07/31,2024/03/01,2024/04/19,2024/08/16,agriculture +"1270463",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nova Ibiá,8.0000000000,2024.0000000000,2024/07/31,2023/11/24,2024/05/13,2024/08/16,agriculture +"1270418",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,21.2500000000,2024.0000000000,2024/07/31,2024/01/31,2024/07/03,2024/08/16,agriculture +"1270372",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belo Campo,2.9300000000,2024.0000000000,2024/07/31,2024/01/12,2024/07/12,2024/08/16,agriculture +"1270273",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itapebi,2.0300000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/29,2024/08/16,agriculture +"1270163",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Boa Nova,5.9200000000,2024.0000000000,2024/07/31,2024/02/28,2024/05/03,2024/08/16,agriculture +"1270185",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagi,0.8700000000,2024.0000000000,2024/07/31,2023/12/30,2024/06/28,2024/08/16,agriculture +"1270187",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Poções,2.0200000000,2024.0000000000,2024/07/31,2024/03/17,2024/05/02,2024/08/16,agriculture +"1269641",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Conde,3.8300000000,2024.0000000000,2024/07/31,2024/02/25,2024/03/25,2024/08/16,urban_expansion +"1270146",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jaguaquara,1.0600000000,2024.0000000000,2024/07/31,2024/01/30,2024/04/18,2024/08/16,agriculture +"1270140",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,0.5500000000,2024.0000000000,2024/07/31,2024/01/15,2024/02/15,2024/08/16,agriculture +"1269967",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Arataca,2.7300000000,2024.0000000000,2024/07/31,2023/11/22,2024/03/16,2024/08/16,agriculture +"1269980",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ubaíra,3.1600000000,2024.0000000000,2024/07/31,2024/03/16,2024/05/02,2024/08/16,agriculture +"1269966",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Inês,0.7200000000,2024.0000000000,2024/07/31,2024/03/10,2024/03/16,2024/08/16,agriculture +"1269642",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.6500000000,2024.0000000000,2024/07/31,2024/02/17,2024/05/10,2024/08/16,agriculture +"1269741",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,1.4500000000,2024.0000000000,2024/07/31,2024/01/30,2024/05/12,2024/08/16,agriculture +"1269744",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,53.4800000000,2024.0000000000,2024/07/31,2024/03/01,2024/04/18,2024/08/16,agriculture +"1269952",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,3.5300000000,2024.0000000000,2024/07/31,2023/12/30,2024/05/13,2024/08/16,agriculture +"1269623",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,8.1800000000,2024.0000000000,2024/07/31,2023/12/27,2024/03/10,2024/08/16,agriculture +"1268924",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Conde,2.8500000000,2024.0000000000,2024/07/31,2024/03/29,2024/05/06,2024/08/16,agriculture +"1269585",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itacaré,3.8400000000,2024.0000000000,2024/07/31,2024/03/11,2024/05/19,2024/08/16,agriculture +"1269540",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caravelas,0.7800000000,2024.0000000000,2024/07/31,2024/01/14,2024/03/01,2024/08/16,agriculture +"1269490",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jucuruçu,7.7900000000,2024.0000000000,2024/07/31,2023/12/22,2024/03/22,2024/08/16,agriculture +"1269390",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Mucuri,1.7900000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/14,2024/08/16,agriculture +"1269393",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Uruçuca,0.6300000000,2024.0000000000,2024/07/31,2023/06/22,2024/05/03,2024/08/16,agriculture +"1269166",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,25.5000000000,2024.0000000000,2024/07/31,2024/03/31,2024/07/18,2024/08/16,agriculture +"1269103",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabuna,3.0300000000,2024.0000000000,2024/07/31,2023/10/15,2024/05/24,2024/08/16,agriculture +"1268966",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,9.7700000000,2024.0000000000,2024/07/31,2023/12/30,2024/05/19,2024/08/16,agriculture +"1262768",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,11.4700000000,2024.0000000000,2024/03/01,2024/05/18,2024/06/12,2024/08/12,agriculture +"1270704",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,1.4200000000,2024.0000000000,2024/07/31,2024/01/12,2024/06/10,2024/08/16,agriculture +"1268231",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camaçari,3.8400000000,2024.0000000000,2024/07/31,2024/02/14,2024/04/19,2024/08/16,agriculture +"1268917",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Esplanada,2.1300000000,2024.0000000000,2024/07/31,2024/01/31,2024/06/29,2024/08/16,agriculture +"1268849",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Eunápolis,1.1400000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/25,2024/08/16,agriculture +"1268804",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,41.7400000000,2024.0000000000,2024/07/31,2024/01/12,2024/07/17,2024/08/16,agriculture +"1268729",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Taperoá,0.8200000000,2024.0000000000,2024/07/31,2023/12/25,2024/05/10,2024/08/16,agriculture +"1268694",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,0.8100000000,2024.0000000000,2024/07/31,2024/01/11,2024/03/21,2024/08/16,agriculture +"1268367",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Wenceslau Guimarães,0.5400000000,2024.0000000000,2024/07/31,2024/01/31,2024/03/02,2024/08/16,agriculture +"1268263",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camaçari,4.7200000000,2024.0000000000,2024/07/31,2023/09/07,2024/06/28,2024/08/16,agriculture +"1226109",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,7.5800000000,2024.0000000000,2024/02/01,2023/02/23,2024/02/03,2024/04/30,agriculture +"1223325",{SAD-CAATINGA},Caatinga,BAHIA,Itatim,45.7700000000,2024.0000000000,2024/01/01,2023/03/12,2024/01/31,2024/04/30,agriculture +"1222845",{SAD-CAATINGA},Caatinga,BAHIA,Caetanos,58.5900000000,2024.0000000000,2024/01/01,2023/03/30,2024/01/17,2024/04/30,agriculture +"1225139",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,11.0100000000,2024.0000000000,2024/02/01,2023/07/25,2024/03/06,2024/04/30,agriculture +"1260606",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,32.9500000000,2024.0000000000,2024/05/03,2023/12/05,2024/05/29,2024/08/12,agriculture +"1222813",{SAD-CAATINGA},Caatinga,BAHIA,Piritiba,3.4100000000,2024.0000000000,2024/01/01,2023/01/26,2024/01/31,2024/04/30,agriculture +"1227294",{SAD-CAATINGA},Caatinga,BAHIA,Nordestina,15.4600000000,2024.0000000000,2024/01/01,2023/07/14,2024/01/24,2024/04/30,agriculture +"1221268",{SAD-CAATINGA},Caatinga,BAHIA,Olindina,5.7200000000,2024.0000000000,2024/01/01,2023/01/29,2024/01/19,2024/04/30,agriculture +"1221670",{SAD-CAATINGA},Caatinga,BAHIA,Itapicuru,13.8000000000,2024.0000000000,2024/01/01,2023/07/22,2024/01/31,2024/04/30,agriculture +"1260786",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,20.2400000000,2024.0000000000,2024/06/14,2024/01/20,2024/07/30,2024/08/12,agriculture +"1260713",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,31.7200000000,2024.0000000000,2024/06/03,2023/12/25,2024/06/14,2024/08/12,agriculture +"1260485",{DETER-CERRADO},Cerrado,BAHIA,Cocos,251.5800000000,2024.0000000000,2024/06/07,2024/05/04,2024/07/28,2024/08/12,agriculture +"1260386",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,49.7900000000,2024.0000000000,2024/06/10,2024/05/16,2024/06/26,2024/08/12,agriculture +"1260100",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,599.0600000000,2024.0000000000,2024/06/24,2024/05/09,2024/07/20,2024/08/12,agriculture +"1260030",{DETER-CERRADO},Cerrado,BAHIA,Pindaí,8.7400000000,2024.0000000000,2024/06/19,2024/01/12,2024/04/26,2024/08/12,agriculture +"1259959",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,3.0700000000,2024.0000000000,2024/06/14,2024/02/05,2024/03/11,2024/08/12,agriculture +"1263636",{SAD-CERRADO},Cerrado,BAHIA,Coribe,29.0700000000,2024.0000000000,2024/06/01,2024/02/15,2024/06/29,2024/08/12,agriculture +"1263504",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,125.0800000000,2024.0000000000,2024/05/01,2023/12/05,2024/05/28,2024/08/12,agriculture +"1272416",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Arataca,2.2900000000,2024.0000000000,2024/07/31,2024/01/31,2024/03/31,2024/08/16,agriculture +"1272683",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santo Amaro,4.4100000000,2024.0000000000,2024/07/31,2024/03/15,2024/07/03,2024/08/16,urban_expansion +"1270971",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,3.6700000000,2024.0000000000,2024/07/31,2023/08/03,2024/05/19,2024/08/16,agriculture +"1270908",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Esplanada,7.7100000000,2024.0000000000,2024/07/31,2024/02/14,2024/05/24,2024/08/16,agriculture +"1269523",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itacaré,0.7000000000,2024.0000000000,2024/07/31,2023/10/29,2024/05/29,2024/08/16,agriculture +"1261745",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,6.7100000000,2024.0000000000,2024/03/01,2023/10/21,2024/03/09,2024/08/12,agriculture +"1261660",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,7.0500000000,2024.0000000000,2024/03/01,2024/01/19,2024/02/28,2024/08/12,agriculture +"1261635",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,33.8800000000,2024.0000000000,2024/03/01,2024/05/30,2024/08/28,2024/08/12,agriculture +"1271080",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itacaré,1.2200000000,2024.0000000000,2024/07/31,2024/01/15,2024/05/24,2024/08/16,agriculture +"1273400",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,4.4400000000,2024.0000000000,2024/07/31,2024/01/12,2024/06/13,2024/08/16,agriculture +"1273391",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,2.1000000000,2024.0000000000,2024/07/31,2023/10/26,2024/04/15,2024/08/16,agriculture +"1273117",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.3300000000,2024.0000000000,2024/07/31,2024/04/09,2024/05/13,2024/08/16,agriculture +"1272907",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,2.2600000000,2024.0000000000,2024/07/31,2024/01/31,2024/06/28,2024/08/16,agriculture +"1272890",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,3.4400000000,2024.0000000000,2024/07/31,2024/02/14,2024/06/25,2024/08/16,agriculture +"1272809",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,7.8700000000,2024.0000000000,2024/07/31,2023/12/31,2024/04/19,2024/08/16,agriculture +"1272750",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jaguaquara,1.7800000000,2024.0000000000,2024/07/31,2024/03/01,2024/05/24,2024/08/16,agriculture +"1272612",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Lafaiete Coutinho,3.5200000000,2024.0000000000,2024/07/31,2024/02/06,2024/03/12,2024/08/16,agriculture +"1272239",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caatiba,8.0100000000,2024.0000000000,2024/07/31,2023/12/01,2024/05/02,2024/08/16,agriculture +"1271722",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Catu,2.3900000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/19,2024/08/16,agriculture +"1271500",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,4.1900000000,2024.0000000000,2024/07/31,2023/07/08,2024/05/06,2024/08/16,agriculture +"1231955",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,392.9400000000,2024.0000000000,2024/03/07,2024/03/25,2024/05/08,2024/05/01,agriculture +"1258818",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,10.5700000000,2024.0000000000,2024/05/24,2024/01/16,2024/05/01,2024/08/12,agriculture +"1261363",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,13.0300000000,2024.0000000000,2024/03/01,2024/01/19,2024/03/09,2024/08/12,agriculture +"1263652",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,14.1400000000,2024.0000000000,2024/06/01,2024/03/26,2024/06/29,2024/08/12,agriculture +"1258087",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,4.1800000000,2024.0000000000,2024/05/03,2024/03/25,2024/05/24,2024/08/12,agriculture +"1258030",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,28.5600000000,2024.0000000000,2024/05/08,2024/01/17,2024/06/12,2024/08/12,agriculture +"1224541",{SAD-CAATINGA},Cerrado,BAHIA,Mortugaba,61.4200000000,2024.0000000000,2024/01/01,2024/03/18,2024/06/29,2024/04/30,agriculture +"1262671",{SAD-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,8.7500000000,2024.0000000000,2024/06/01,2024/01/14,2024/06/29,2024/08/12,agriculture +"1254300",{SAD-CAATINGA},Caatinga,BAHIA,Licínio de Almeida,10.3800000000,2024.0000000000,2024/03/01,2022/05/30,2023/04/16,2024/08/12,agriculture +"1253778",{SAD-CAATINGA},Caatinga,BAHIA,Santa Rita de Cássia,26.6100000000,2024.0000000000,2024/03/01,2024/01/19,2024/03/30,2024/08/12,agriculture +"1251342",{SAD-CAATINGA},Caatinga,BAHIA,Banzaê,6.3400000000,2024.0000000000,2024/03/01,2023/08/12,2024/02/17,2024/08/12,agriculture +"1261294",{SAD-CERRADO},Cerrado,BAHIA,Catolândia,1.1200000000,2024.0000000000,2024/03/01,2023/12/25,2024/03/19,2024/08/12,agriculture +"1253975",{SAD-CAATINGA},Caatinga,BAHIA,Olindina,5.0000000000,2024.0000000000,2024/03/01,2023/07/06,2024/05/20,2024/08/12,agriculture +"1254012",{SAD-CAATINGA},Caatinga,BAHIA,Itapicuru,4.0900000000,2024.0000000000,2024/03/01,2023/11/24,2024/02/17,2024/08/12,agriculture +"1250744",{SAD-CAATINGA},Caatinga,BAHIA,Antônio 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+"874742",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,423.4500000000,2023.0000000000,2023/01/01,2020/03/31,2023/01/02,2023/03/26,agriculture +"874631",{DETER-CERRADO},Cerrado,BAHIA,Cocos,510.6600000000,2023.0000000000,2023/01/10,2022/07/18,2023/01/31,2023/03/26,agriculture +"874858",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,1019.8100000000,2023.0000000000,2023/02/25,2023/02/14,2023/03/24,2023/03/26,agriculture +"874574",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,93.3500000000,2023.0000000000,2023/02/23,2022/12/11,2023/01/31,2023/03/26,agriculture +"874793",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,154.5500000000,2023.0000000000,2023/02/03,2022/11/13,2023/03/30,2023/03/26,agriculture +"874676",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,1083.0300000000,2023.0000000000,2023/01/04,2022/08/06,2023/02/26,2023/03/26,agriculture +"874753",{DETER-CERRADO},Cerrado,BAHIA,Correntina,2249.1100000000,2023.0000000000,2023/02/10,2022/03/13,2023/04/16,2023/03/26,agriculture +"874652",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,698.4400000000,2023.0000000000,2023/02/23,2022/10/02,2023/04/26,2023/03/26,agriculture +"875034",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,193.5600000000,2023.0000000000,2023/01/18,2022/11/13,2023/03/09,2023/03/26,agriculture +"875504",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,916.8800000000,2023.0000000000,2023/01/18,2022/10/14,2023/03/24,2023/03/26,agriculture +"875434",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,26.4700000000,2023.0000000000,2023/02/03,2022/08/02,2023/02/26,2023/03/26,agriculture +"874976",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,339.1600000000,2023.0000000000,2023/02/07,2022/12/13,2023/01/31,2023/03/26,agriculture +"874886",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,29.1700000000,2023.0000000000,2023/01/18,2019/07/18,2019/11/09,2023/03/26,agriculture +"875199",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,317.3200000000,2023.0000000000,2023/01/01,2022/06/10,2023/04/25,2023/03/26,agriculture +"875198",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,209.0400000000,2023.0000000000,2023/02/08,2022/10/18,2023/04/13,2023/03/26,agriculture +"888984",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,197.1200000000,2023.0000000000,2023/04/27,2023/03/30,2023/04/29,2023/05/19,agriculture +"888220",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,24.5400000000,2023.0000000000,2023/04/15,2023/02/22,2023/04/27,2023/05/19,agriculture +"888187",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,7.5300000000,2023.0000000000,2023/04/27,2022/07/28,2022/11/13,2023/05/19,agriculture +"888623",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,295.5700000000,2023.0000000000,2023/03/23,2023/02/21,2023/03/31,2023/05/19,agriculture +"888119",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,129.3300000000,2023.0000000000,2023/04/29,2023/03/10,2023/05/11,2023/05/19,agriculture +"887874",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,15.4300000000,2023.0000000000,2023/03/03,2022/09/27,2023/01/17,2023/05/19,agriculture +"887737",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,12.1200000000,2023.0000000000,2023/04/29,2023/03/28,2023/04/16,2023/05/19,agriculture +"888145",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,65.8900000000,2023.0000000000,2023/04/29,2023/04/01,2023/05/18,2023/05/19,agriculture +"888157",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,157.2900000000,2023.0000000000,2023/04/27,2022/10/28,2023/05/16,2023/05/19,agriculture +"887538",{DETER-CERRADO},Cerrado,BAHIA,Cocos,19.7100000000,2023.0000000000,2023/04/29,2023/03/04,2023/04/01,2023/05/19,agriculture +"887616",{DETER-CERRADO},Cerrado,BAHIA,Cotegipe,302.4500000000,2023.0000000000,2023/04/26,2023/02/10,2023/04/13,2023/05/19,agriculture +"887524",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,98.3100000000,2023.0000000000,2023/03/11,2023/01/17,2023/04/29,2023/05/19,agriculture +"875053",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,672.6800000000,2023.0000000000,2023/02/22,2022/10/28,2023/04/01,2023/03/26,agriculture +"888371",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,12.5500000000,2023.0000000000,2023/04/15,2023/01/02,2023/02/12,2023/05/19,agriculture +"888543",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,165.4700000000,2023.0000000000,2023/04/29,2022/12/13,2023/04/27,2023/05/19,agriculture +"887522",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,31.5800000000,2023.0000000000,2023/04/29,2023/03/10,2023/03/24,2023/05/19,agriculture +"888806",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,286.5400000000,2023.0000000000,2023/04/18,2022/12/31,2023/05/09,2023/05/19,agriculture +"888288",{DETER-CERRADO},Cerrado,BAHIA,Correntina,28.2000000000,2023.0000000000,2023/04/27,2023/03/04,2023/04/16,2023/05/19,agriculture +"887948",{DETER-CERRADO},Cerrado,BAHIA,Correntina,10.5800000000,2023.0000000000,2023/04/27,2022/08/02,2022/08/31,2023/05/19,agriculture +"887946",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,88.8500000000,2023.0000000000,2023/04/15,2023/02/14,2023/04/02,2023/05/19,agriculture +"887903",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,268.3600000000,2023.0000000000,2023/04/15,2023/03/04,2023/05/27,2023/05/19,agriculture +"888927",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,237.9200000000,2023.0000000000,2023/03/30,2023/02/13,2023/04/27,2023/05/19,agriculture +"887814",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,91.6300000000,2023.0000000000,2023/03/11,2022/09/28,2023/05/26,2023/05/19,agriculture +"887779",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,150.8400000000,2023.0000000000,2023/03/08,2022/01/22,2022/12/31,2023/05/19,agriculture +"888994",{DETER-CERRADO},Cerrado,BAHIA,Correntina,73.0800000000,2023.0000000000,2023/04/15,2023/01/02,2023/05/25,2023/05/19,agriculture +"888992",{DETER-CERRADO},Cerrado,BAHIA,Correntina,84.6600000000,2023.0000000000,2023/03/26,2023/01/17,2023/04/27,2023/05/19,agriculture +"888697",{DETER-CERRADO},Cerrado,BAHIA,Cocos,219.4400000000,2023.0000000000,2023/04/21,2023/01/02,2023/05/22,2023/05/19,agriculture +"888660",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,213.2300000000,2023.0000000000,2023/03/03,2023/01/01,2023/05/25,2023/05/19,agriculture +"888580",{DETER-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,15.0800000000,2023.0000000000,2023/04/15,2023/01/10,2023/05/22,2023/05/19,agriculture +"888539",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,11.4600000000,2023.0000000000,2023/04/15,2023/01/01,2023/04/26,2023/05/19,agriculture +"888152",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,552.7000000000,2023.0000000000,2023/03/30,2023/02/11,2023/05/09,2023/05/19,agriculture +"888367",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,33.9600000000,2023.0000000000,2023/04/27,2023/01/17,2023/05/23,2023/05/19,agriculture +"888276",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,40.6300000000,2023.0000000000,2023/03/08,2023/01/31,2023/04/16,2023/05/19,agriculture +"889074",{DETER-CERRADO},Cerrado,BAHIA,Correntina,237.4300000000,2023.0000000000,2023/03/23,2022/10/28,2023/05/18,2023/05/19,agriculture +"889087",{DETER-CERRADO},Cerrado,BAHIA,Correntina,85.3800000000,2023.0000000000,2023/03/14,2022/09/07,2023/03/30,2023/05/19,agriculture +"889077",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,67.0900000000,2023.0000000000,2023/03/30,2022/10/18,2023/05/20,2023/05/19,agriculture +"888996",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,54.9600000000,2023.0000000000,2023/04/15,2023/01/17,2023/05/30,2023/05/19,agriculture +"888990",{DETER-CERRADO},Cerrado,BAHIA,Canápolis,118.2100000000,2023.0000000000,2023/04/15,2023/01/17,2023/05/18,2023/05/19,agriculture +"883210",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,1.1300000000,2023.0000000000,2023/04/30,2023/01/01,2023/03/19,2023/05/18,agriculture +"888942",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,125.1900000000,2023.0000000000,2023/04/15,2022/11/13,2023/04/27,2023/05/19,agriculture +"883104",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Macarani,21.9200000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/20,2023/05/18,agriculture +"888515",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,102.7100000000,2023.0000000000,2023/04/29,2023/02/22,2023/05/05,2023/05/19,agriculture +"887883",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,26.4600000000,2023.0000000000,2023/04/27,2023/03/06,2023/05/06,2023/05/19,agriculture +"887788",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,995.1100000000,2023.0000000000,2023/03/30,2023/01/02,2023/04/18,2023/05/19,agriculture +"883231",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,15.0100000000,2023.0000000000,2023/04/30,2023/01/01,2023/05/19,2023/05/18,agriculture +"883631",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabela,2.4600000000,2023.0000000000,2023/04/30,2023/01/23,2023/03/30,2023/05/18,agriculture +"882940",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Planalto,29.5500000000,2023.0000000000,2023/04/30,2022/12/21,2023/03/30,2023/05/18,agriculture +"882913",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,9.7000000000,2023.0000000000,2023/04/30,2023/01/26,2023/03/30,2023/05/18,agriculture +"882881",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,3.0800000000,2023.0000000000,2023/04/30,2023/01/25,2023/02/18,2023/05/18,agriculture +"882897",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,7.1000000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/15,2023/05/18,agriculture +"881990",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ilhéus,2.4300000000,2023.0000000000,2023/04/30,2023/02/23,2023/04/25,2023/05/18,agriculture +"881957",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Lajedo do Tabocal,9.9400000000,2023.0000000000,2023/04/30,2022/10/04,2023/04/16,2023/05/18,agriculture +"881941",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,2.3400000000,2023.0000000000,2023/04/30,2022/12/13,2023/02/02,2023/05/18,agriculture +"881994",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Wenceslau Guimarães,2.5400000000,2023.0000000000,2023/04/30,2023/01/28,2023/04/13,2023/05/18,agriculture +"881928",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,São Sebastião do Passé,6.4800000000,2023.0000000000,2023/04/30,2023/02/18,2023/04/19,2023/05/18,agriculture +"881922",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,14.5100000000,2023.0000000000,2023/04/30,2023/02/05,2023/03/31,2023/05/18,agriculture +"881917",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Catu,5.7100000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/20,2023/05/18,agriculture +"889080",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,83.2600000000,2023.0000000000,2023/03/29,2023/01/10,2023/04/26,2023/05/19,agriculture +"888979",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,350.6700000000,2023.0000000000,2023/04/12,2023/02/10,2023/05/30,2023/05/19,agriculture +"888898",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,21.0800000000,2023.0000000000,2023/03/31,2022/06/01,2023/05/07,2023/05/19,agriculture +"888833",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,19.9800000000,2023.0000000000,2023/04/27,2022/02/25,2023/03/24,2023/05/19,agriculture +"888633",{DETER-CERRADO},Cerrado,BAHIA,Caetité,6.4400000000,2023.0000000000,2023/03/09,2022/07/31,2022/12/28,2023/05/19,agriculture +"888561",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,235.8200000000,2023.0000000000,2023/04/15,2023/03/10,2023/05/22,2023/05/19,agriculture +"888558",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,84.8700000000,2023.0000000000,2023/04/29,2023/01/31,2023/05/21,2023/05/19,agriculture +"888529",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,22.5800000000,2023.0000000000,2023/04/27,2023/01/10,2023/04/02,2023/05/19,agriculture +"888528",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,17.0200000000,2023.0000000000,2023/04/18,2023/01/31,2023/04/28,2023/05/19,agriculture +"888344",{DETER-CERRADO},Cerrado,BAHIA,Catolândia,30.6000000000,2023.0000000000,2023/04/29,2023/03/10,2023/04/14,2023/05/19,agriculture +"888399",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,36.1500000000,2023.0000000000,2023/03/03,2022/06/29,2023/05/16,2023/05/19,agriculture +"888305",{DETER-CERRADO},Cerrado,BAHIA,Cristópolis,93.1700000000,2023.0000000000,2023/03/06,2022/05/22,2023/06/01,2023/05/19,agriculture +"888259",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,21.2200000000,2023.0000000000,2023/03/08,2022/10/20,2023/02/11,2023/05/19,agriculture +"888710",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,26.5300000000,2023.0000000000,2023/04/18,2022/10/18,2023/01/10,2023/05/19,agriculture +"888693",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,29.4900000000,2023.0000000000,2023/04/15,2022/05/10,2022/09/30,2023/05/19,agriculture +"888579",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,614.6100000000,2023.0000000000,2023/04/18,2022/10/01,2023/05/20,2023/05/19,agriculture +"888453",{DETER-CERRADO},Cerrado,BAHIA,Correntina,9.2900000000,2023.0000000000,2023/04/27,2023/01/24,2023/03/09,2023/05/19,agriculture +"883317",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Mata de São João,7.2500000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/11,2023/05/18,agriculture +"883281",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Rio Real,1.4900000000,2023.0000000000,2023/04/30,2023/03/03,2023/04/19,2023/05/18,agriculture +"883256",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Pojuca,14.6200000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/19,2023/05/18,agriculture +"883239",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caatiba,0.6500000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/20,2023/05/18,agriculture +"883012",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Cruz da Vitória,1.5700000000,2023.0000000000,2023/04/30,2022/09/14,2023/04/20,2023/05/18,agriculture +"882919",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,2.0800000000,2023.0000000000,2023/04/30,2023/02/05,2023/03/15,2023/05/18,agriculture +"882827",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,2.6300000000,2023.0000000000,2023/04/30,2023/01/14,2023/03/31,2023/05/18,agriculture +"882844",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabela,0.5900000000,2023.0000000000,2023/04/30,2023/02/15,2023/03/30,2023/05/18,agriculture +"882834",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Mascote,3.7700000000,2023.0000000000,2023/04/30,2022/10/05,2023/03/30,2023/05/18,agriculture +"882805",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Maracás,7.8100000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/15,2023/05/18,agriculture +"882800",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,1.5600000000,2023.0000000000,2023/04/30,2022/12/22,2023/02/20,2023/05/18,agriculture +"882697",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Inês,20.9600000000,2023.0000000000,2023/04/30,2023/01/27,2023/04/16,2023/05/18,agriculture +"882691",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,5.3500000000,2023.0000000000,2023/04/30,2023/01/29,2023/04/14,2023/05/18,agriculture +"882484",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,14.9700000000,2023.0000000000,2023/04/30,2022/10/04,2023/04/01,2023/05/18,agriculture +"888192",{DETER-CERRADO},Cerrado,BAHIA,Coribe,130.6800000000,2023.0000000000,2023/03/03,2023/01/17,2023/03/24,2023/05/19,agriculture +"888282",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,23.1000000000,2023.0000000000,2023/03/26,2023/01/25,2023/02/09,2023/05/19,agriculture +"882437",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,1.5400000000,2023.0000000000,2023/04/30,2023/02/06,2023/03/30,2023/05/18,agriculture +"888749",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,32.7900000000,2023.0000000000,2023/04/29,2022/10/02,2023/04/16,2023/05/19,agriculture +"888706",{DETER-CERRADO},Cerrado,BAHIA,Caetité,13.8700000000,2023.0000000000,2023/03/09,2022/12/11,2023/03/12,2023/05/19,agriculture +"882210",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cardeal da Silva,1.6400000000,2023.0000000000,2023/04/30,2023/01/25,2023/04/20,2023/05/18,agriculture +"882204",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itanagra,5.0500000000,2023.0000000000,2023/04/30,2023/01/29,2023/04/04,2023/05/18,agriculture +"882203",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,16.1800000000,2023.0000000000,2023/04/30,2023/01/30,2023/04/04,2023/05/18,agriculture +"882124",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,2.8100000000,2023.0000000000,2023/04/30,2023/01/01,2023/03/31,2023/05/18,agriculture +"874541",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,59.3600000000,2023.0000000000,2023/02/19,2022/12/12,2023/03/05,2023/03/26,agriculture +"881886",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,3.8200000000,2023.0000000000,2023/04/30,2023/02/12,2023/03/30,2023/05/18,agriculture +"882106",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itanagra,9.2700000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/19,2023/05/18,agriculture +"881852",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,5.6100000000,2023.0000000000,2023/04/30,2022/12/12,2023/03/30,2023/05/18,agriculture +"883376",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Vereda,0.9000000000,2023.0000000000,2023/04/30,2023/02/10,2023/03/30,2023/05/18,agriculture +"883628",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alagoinhas,1.2100000000,2023.0000000000,2023/04/30,2022/10/04,2023/02/18,2023/05/18,agriculture +"883557",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jucuruçu,3.5100000000,2023.0000000000,2023/04/30,2023/02/06,2023/03/30,2023/05/18,agriculture +"883325",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Água Fria,5.7100000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/15,2023/05/18,agriculture +"883577",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Entre Rios,2.4000000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/19,2023/05/18,agriculture +"883372",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagibá,4.5700000000,2023.0000000000,2023/04/30,2023/01/23,2023/04/16,2023/05/18,agriculture +"883244",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Macarani,12.3500000000,2023.0000000000,2023/04/30,2023/01/31,2023/04/20,2023/05/18,agriculture +"883127",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itapetinga,23.0300000000,2023.0000000000,2023/04/30,2023/01/18,2023/04/20,2023/05/18,agriculture +"883110",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caravelas,3.7400000000,2023.0000000000,2023/04/30,2022/12/20,2023/02/28,2023/05/18,agriculture +"883291",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cardeal da Silva,3.6300000000,2023.0000000000,2023/04/30,2023/01/25,2023/04/20,2023/05/18,agriculture +"888136",{DETER-CERRADO},Cerrado,BAHIA,Cotegipe,145.3000000000,2023.0000000000,2023/03/29,2022/12/12,2023/03/05,2023/05/19,agriculture +"882397",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Lajedo do Tabocal,0.3900000000,2023.0000000000,2023/04/30,2023/02/03,2023/03/09,2023/05/18,agriculture +"882422",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itiruçu,12.5500000000,2023.0000000000,2023/04/30,2022/10/04,2023/03/09,2023/05/18,agriculture +"888082",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,223.7500000000,2023.0000000000,2023/03/08,2022/06/11,2023/02/10,2023/05/19,agriculture +"888253",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,127.1300000000,2023.0000000000,2023/03/08,2023/02/14,2023/05/20,2023/05/19,agriculture +"888113",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,228.2500000000,2023.0000000000,2023/03/29,2023/02/11,2023/03/24,2023/05/19,agriculture +"887902",{DETER-CERRADO},Cerrado,BAHIA,Tanque Novo,4.5000000000,2023.0000000000,2023/03/17,2022/02/01,2022/06/07,2023/05/19,agriculture +"882402",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Pau Brasil,72.0400000000,2023.0000000000,2023/04/30,2022/08/11,2023/04/20,2023/05/18,agriculture +"887801",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,71.7000000000,2023.0000000000,2023/03/30,2022/03/26,2023/03/28,2023/05/19,agriculture +"887910",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,14.7800000000,2023.0000000000,2023/04/29,2023/03/28,2023/04/20,2023/05/19,agriculture +"887762",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,30.5100000000,2023.0000000000,2023/04/15,2022/09/14,2023/02/13,2023/05/19,agriculture +"887820",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,17.1100000000,2023.0000000000,2023/03/03,2022/10/22,2022/12/11,2023/05/19,agriculture +"887606",{DETER-CERRADO},Cerrado,BAHIA,Catolândia,45.7900000000,2023.0000000000,2023/04/29,2023/01/31,2023/05/31,2023/05/19,agriculture +"888967",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,536.2900000000,2023.0000000000,2023/04/15,2023/01/17,2023/05/19,2023/05/19,agriculture +"888988",{DETER-CERRADO},Cerrado,BAHIA,Correntina,979.6200000000,2023.0000000000,2023/03/17,2023/03/04,2023/05/03,2023/05/19,agriculture +"888873",{DETER-CERRADO},Cerrado,BAHIA,Caetité,9.3000000000,2023.0000000000,2023/03/09,2022/04/14,2023/03/25,2023/05/19,agriculture +"888941",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,318.4200000000,2023.0000000000,2023/03/30,2023/03/04,2023/05/11,2023/05/19,agriculture +"888853",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,10.8400000000,2023.0000000000,2023/03/11,2022/07/17,2022/11/13,2023/05/19,agriculture +"888776",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,50.2500000000,2023.0000000000,2023/04/29,2023/02/10,2023/04/26,2023/05/19,agriculture +"888685",{DETER-CERRADO},Cerrado,BAHIA,Brejolândia,45.4900000000,2023.0000000000,2023/04/27,2022/09/16,2023/01/01,2023/05/19,agriculture +"888648",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,11.0500000000,2023.0000000000,2023/04/29,2023/03/09,2023/03/30,2023/05/19,agriculture +"888621",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,41.5000000000,2023.0000000000,2023/03/02,2022/10/01,2023/05/18,2023/05/19,agriculture +"888023",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,21.8700000000,2023.0000000000,2023/04/24,2023/02/10,2023/04/20,2023/05/19,agriculture +"888211",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,252.1400000000,2023.0000000000,2023/04/26,2023/01/17,2023/05/29,2023/05/19,agriculture +"888947",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,723.4500000000,2023.0000000000,2023/03/29,2023/02/12,2023/06/02,2023/05/19,agriculture +"883535",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,3.2700000000,2023.0000000000,2023/04/30,2022/12/20,2023/04/15,2023/05/18,agriculture +"887959",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,254.9200000000,2023.0000000000,2023/03/11,2022/06/10,2023/03/10,2023/05/19,agriculture +"887822",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,448.2500000000,2023.0000000000,2023/04/29,2022/12/08,2023/03/30,2023/05/19,agriculture +"887478",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,162.6400000000,2023.0000000000,2023/03/06,2022/12/12,2023/03/31,2023/05/19,agriculture +"889076",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,345.8300000000,2023.0000000000,2023/03/14,2022/08/06,2023/05/30,2023/05/19,agriculture +"888867",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,348.8700000000,2023.0000000000,2023/04/29,2022/10/18,2023/02/25,2023/05/19,agriculture +"887574",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,150.1100000000,2023.0000000000,2023/04/29,2023/02/10,2023/05/05,2023/05/19,agriculture +"888959",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,343.9200000000,2023.0000000000,2023/03/11,2023/02/15,2023/05/08,2023/05/19,agriculture +"888725",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,534.4800000000,2023.0000000000,2023/04/15,2022/10/07,2023/04/15,2023/05/19,agriculture +"889067",{DETER-CERRADO},Cerrado,BAHIA,Cocos,1181.9600000000,2023.0000000000,2023/04/06,2022/10/19,2023/05/21,2023/05/19,agriculture +"881803",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Esplanada,1.4000000000,2023.0000000000,2023/04/30,2022/12/13,2023/03/05,2023/05/18,agriculture +"881804",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alcobaça,0.6700000000,2023.0000000000,2023/04/30,2023/02/03,2023/04/15,2023/05/18,agriculture +"881761",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itambé,6.9400000000,2023.0000000000,2023/04/30,2022/12/12,2023/04/01,2023/05/18,agriculture +"888287",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,125.7900000000,2023.0000000000,2023/04/18,2022/05/12,2023/03/24,2023/05/19,agriculture +"882760",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Salvador,1.0900000000,2023.0000000000,2023/04/30,2023/02/14,2023/04/13,2023/05/18,agriculture +"888751",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,2248.2600000000,2023.0000000000,2023/04/26,2022/10/01,2023/05/22,2023/05/19,agriculture +"889072",{DETER-CERRADO},Cerrado,BAHIA,Cocos,2204.0400000000,2023.0000000000,2023/04/15,2023/02/03,2023/03/30,2023/05/19,agriculture +"889008",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,617.1300000000,2023.0000000000,2023/03/11,2023/01/17,2023/06/03,2023/05/19,agriculture +"927088",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,5.6900000000,2023.0000000000,2023/03/01,2023/02/13,2023/04/14,2023/06/13,agriculture +"894727",{SAD-CAATINGA},Caatinga,BAHIA,Jussara,10.5700000000,2023.0000000000,2023/01/01,2022/05/07,2022/12/19,2023/06/07,others +"891431",{SAD-CAATINGA},Caatinga,BAHIA,Paramirim,13.2200000000,2023.0000000000,2023/01/01,2022/08/17,2023/01/28,2023/06/07,others +"891433",{SAD-CAATINGA},Caatinga,BAHIA,Licínio de Almeida,2.3100000000,2023.0000000000,2023/01/01,2022/01/18,2023/01/30,2023/06/07,others +"891571",{SAD-CAATINGA},Caatinga,BAHIA,Barra,0.9200000000,2023.0000000000,2023/01/01,2022/02/17,2023/01/31,2023/06/07,others +"891460",{SAD-CAATINGA},Caatinga,BAHIA,Riacho de Santana,11.2500000000,2023.0000000000,2023/01/01,2022/05/24,2023/01/31,2023/06/07,others 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Neves,14.8700000000,2024.0000000000,2024/03/01,2024/01/10,2024/03/10,2024/05/01,agriculture +"1231957",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,23.1300000000,2024.0000000000,2024/03/21,2023/12/25,2024/03/17,2024/05/01,agriculture +"1013504",{PRODES-CERR},Cerrado,BAHIA,Paratinga,2.7800000000,2021.0000000000,2021/08/15,2020/04/25,2020/12/03,2023/09/18,agriculture +"1013441",{PRODES-CERR},Cerrado,BAHIA,Riacho de Santana,1.3500000000,2021.0000000000,2021/08/15,2021/01/18,2021/05/27,2023/09/18,agriculture +"1013444",{PRODES-CERR},Cerrado,BAHIA,Riacho de Santana,1.7000000000,2021.0000000000,2021/08/15,2020/06/28,2020/11/13,2023/09/18,agriculture +"1013438",{PRODES-CERR},Cerrado,BAHIA,Igaporã,1.9300000000,2021.0000000000,2021/08/15,2021/05/11,2021/05/27,2023/09/18,others +"1232136",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,11.4200000000,2024.0000000000,2024/03/14,2024/02/05,2024/03/25,2024/05/01,agriculture +"1206640",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,1116.2200000000,2024.0000000000,2024/01/16,2023/12/27,2024/03/09,2024/02/27,agriculture +"1232045",{DETER-CERRADO},Cerrado,BAHIA,Coribe,29.3600000000,2024.0000000000,2024/03/27,2023/11/14,2024/04/30,2024/05/01,agriculture +"1232016",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,360.2100000000,2024.0000000000,2024/03/29,2024/01/12,2024/04/28,2024/05/01,agriculture +"1215943",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,1.8600000000,2024.0000000000,2024/02/29,2023/08/06,2023/10/25,2024/03/13,agriculture +"1216994",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,478.9000000000,2024.0000000000,2024/01/31,2023/05/20,2024/01/13,2024/03/13,agriculture +"1217206",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jandaíra,3.9600000000,2024.0000000000,2024/01/31,2023/07/22,2023/11/12,2024/03/13,agriculture +"1231208",{SAD-CERRADO},Cerrado,BAHIA,Cristópolis,23.3000000000,2024.0000000000,2024/01/01,2023/11/12,2024/02/05,2024/04/30,agriculture 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Atlântica,BAHIA,Mascote,5.8800000000,2024.0000000000,2024/02/29,2023/09/10,2023/12/30,2024/03/13,agriculture +"1213107",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagi,2.5900000000,2024.0000000000,2024/02/29,2023/08/10,2023/12/27,2024/03/13,agriculture +"1211227",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Eunápolis,2.8900000000,2024.0000000000,2024/01/31,2023/08/25,2023/11/12,2024/03/13,agriculture +"1229959",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,55.0900000000,2024.0000000000,2024/01/01,2023/06/08,2024/02/13,2024/04/30,agriculture +"1229892",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,28.4000000000,2024.0000000000,2024/01/01,2023/09/06,2023/12/15,2024/04/30,agriculture +"1224796",{SAD-CAATINGA},Caatinga,BAHIA,Angical,7.5600000000,2024.0000000000,2024/01/01,2023/08/02,2023/11/10,2024/04/30,agriculture +"1223921",{SAD-CAATINGA},Caatinga,BAHIA,Santa Rita de Cássia,3.2500000000,2024.0000000000,2024/02/01,2023/04/20,2023/05/20,2024/04/30,agriculture 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Atlântica,BAHIA,Esplanada,15.0200000000,2024.0000000000,2024/01/31,2023/07/10,2024/03/13,2024/03/13,agriculture +"1213922",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,6.4300000000,2024.0000000000,2024/02/29,2023/08/06,2024/03/21,2024/03/13,agriculture +"1212570",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,1.6100000000,2024.0000000000,2024/01/31,2023/08/11,2023/11/27,2024/03/13,agriculture +"1210647",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagibá,5.0000000000,2024.0000000000,2024/01/31,2023/10/24,2023/12/30,2024/03/13,agriculture +"1212068",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,3.3400000000,2024.0000000000,2024/02/29,2023/09/10,2023/12/05,2024/03/13,agriculture +"1013449",{PRODES-CERR},Cerrado,BAHIA,Tanque Novo,2.9200000000,2021.0000000000,2021/08/15,2021/05/21,2021/10/30,2023/09/18,agriculture +"1232434",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,305.7900000000,2024.0000000000,2024/03/29,2023/12/08,2024/05/01,2024/05/01,agriculture +"1232248",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,654.3000000000,2024.0000000000,2024/03/01,2024/01/12,2024/05/01,2024/05/01,agriculture +"1212202",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camamu,7.2900000000,2024.0000000000,2024/01/31,2023/08/03,2023/12/04,2024/03/13,agriculture +"1215684",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itacaré,1.2400000000,2024.0000000000,2024/01/31,2023/07/14,2024/03/18,2024/03/13,agriculture +"1210504",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,3.1600000000,2024.0000000000,2024/02/29,2023/10/15,2024/01/30,2024/03/13,agriculture +"1210456",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nilo Peçanha,2.9900000000,2024.0000000000,2024/01/31,2023/09/10,2023/11/10,2024/03/13,aquaculture +"1234653",{DETER-CERRADO},Cerrado,BAHIA,Correntina,10.8500000000,2024.0000000000,2024/04/25,2024/01/13,2024/02/26,2024/06/04,agriculture 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+"1227006",{SAD-CAATINGA},Caatinga,BAHIA,Itaberaba,54.2600000000,2024.0000000000,2024/01/01,2023/04/19,2024/02/17,2024/04/30,agriculture +"1226996",{SAD-CAATINGA},Caatinga,BAHIA,Barra da Estiva,7.1100000000,2024.0000000000,2024/01/01,2023/08/21,2024/02/01,2024/04/30,agriculture +"1226974",{SAD-CAATINGA},Caatinga,BAHIA,Várzea da Roça,2.3700000000,2024.0000000000,2024/01/01,2023/04/29,2024/01/08,2024/04/30,agriculture From f2b521aac4e25acdc1b1c5ee41f1e5b202a04412 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 15:10:44 -0300 Subject: [PATCH 15/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 9ee8620..6145c1f 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -35,7 +35,9 @@ Este projeto consiste na criação de um banco de dados climáticos da Bahia e a --- ### Objetivo Geral: -Realizar uma análise dos dados com o objetivo de identificar variáveis que influenciam o aumento da temperatura do Mar e CO2 na atmosfera com o aumento do desmatamento. +Criar um banco de dados e realizar uma análise dos dados com o objetivo de identificar variáveis que influenciam o aumento da temperatura do Mar e CO2 na atmosfera com o aumento do desmatamento. + +Como o desmatamento na Bahia impacta nas taxas de emissão de CO2 e sua relação com a temperatura da água do Mar? ### As perguntas norteadoras deste projeto são: 1. **[Pergunta sobre o perfil dos dados]** - Quais são as principais características da base de dados selecionada? From b0bf982ffbda02311149f056bba2abb4f09768d4 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 15:12:14 -0300 Subject: [PATCH 16/90] Delete material/SEEG.csv --- material/SEEG.csv | 6 ------ 1 file changed, 6 deletions(-) delete mode 100644 material/SEEG.csv diff --git a/material/SEEG.csv b/material/SEEG.csv deleted file mode 100644 index d9d0217..0000000 --- a/material/SEEG.csv +++ /dev/null @@ -1,6 +0,0 @@ -"Categoria","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022" -"Mudança de Uso da Terra e Floresta","72077392.15899676","74089750.26727358","68087621.62467325","72214853.4275751","66897738.20244032","67149386.39167261","59104275.425540954","49532153.19114104","47505956.51174931","54746858.455465525","55581207.09887202","56685561.539362594","50708383.96005872","46388246.845131695","64506159.23971866","55953650.600383624","44514279.57816073","37469628.19042103","45894832.04666814","46775394.99438389","37606428.598589376","39482398.77184552","56149319.21679476","54180844.25629969","38695630.66246329","33167933.03827828","32601008.09885961","33670610.05444017","39635961.59290606","35151323.584785685","34639147.445011586","33150757.56421204","32599682" -"Agropecuária","29865556.97715902","30882756.279189464","31425904.784129567","26390834.524839938","26297665.73065533","26244881.07116397","24790853.41524182","25213297.803048115","23885613.114951733","24243719.74099137","25416156.23922249","25982251.04348274","25579084.25077972","26447163.078730755","27441533.02246226","27438089.543486197","28018074.69423572","28794261.54159831","28249433.66314639","26910753.905800138","27707352.752843495","27472531.809697848","25616658.675493445","27110298.05359962","27378115.258661687","26712448.43711987","25779258.833057676","25316223.686748646","25456882.314002324","25958576.08733604","25526194.63361384","29308203.213708177","30537872.103919562" -"Energia","7322816.918387413","8316641.954342842","8911062.072481155","8622408.956384659","8151673.678167343","8498112.287921667","9805011.72663641","9964585.136410445","10257332.096279979","10301040.15277072","11576717.504646093","12379669.640540391","11958760.739672244","12063702.770975113","13101120.039229214","13602984.925346892","13969766.545484275","16713673.573259799","18468545.228706565","16480158.44809238","17826515.699712493","19028617.229065962","21033584.500042096","23967310.934275534","25331518.050770424","22893501.29600511","20634000.440413605","20415174.6004249","19905256.32909321","19230556.094973765","18974218.893519435","21100747.678756032","21126842.068129327" -"Resíduos","1713134.9508427102","1791116.9696543145","1845424.0915235886","1898731.3570573311","1973588.4006659957","2057645.497965094","2146370.0948086414","2260821.9385145986","2389596.0505962716","2530295.55362948","2676375.6746999337","2797583.4279200737","2911458.392606524","3082087.839567231","3227023.472183412","2863952.606739447","2920954.240987851","3375718.141749361","3351820.259756469","3532890.6387605234","3563012.6176661667","3440427.6921878215","3601161.0894936933","4389718.650861771","4566029.63278257","4763370.336790962","4848314.64109684","5045507.310678988","5093498.506505493","5217471.558182499","5348885.17896642","5690283.732905156","5653321.84053301" -"Processos Industriais","1342657.064453125","1264259.67578125","1274258.341796875","1221547.701171875","1319871.166015625","1403253.5703125","1442261.513671875","1407606.5424804688","1294548.361328125","1334732.3178710938","1192450.9438171387","1024845.5756835938","1075607.9443359375","1324686.7319335938","1330852.11328125","1458906.162109375","1343634.737915039","1474039.302734375","1555923.4721679688","1235557.79296875","1438893.5219726562","1463153.7998046875","1347484.6845703125","1432394.44140625","1540158.056640625","1533505.3887023926","1384213.0283203125","1392331.4130859375","1411656.3369140625","1449104.72265625","1455857.7958984375","1491592.7275390625","1450865.1103515625" \ No newline at end of file From ef968fbfec11ee44da88c72dcbe4f7567ee86615 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 15:12:23 -0300 Subject: [PATCH 17/90] Delete material/SEEG (1).csv --- material/SEEG (1).csv | 2 -- 1 file changed, 2 deletions(-) delete mode 100644 material/SEEG (1).csv diff --git a/material/SEEG (1).csv b/material/SEEG (1).csv deleted file mode 100644 index fd5847c..0000000 --- a/material/SEEG (1).csv +++ /dev/null @@ -1,2 +0,0 @@ -"Categoria","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022" -"Bahia","112321558.06983903","116344525.14624144","111544270.91460444","110348375.9670289","104640537.17794462","105353278.81903584","97288772.1758997","88378464.61159466","85333046.13490543","93156646.22072819","96442907.46125768","98869911.22698939","92233295.28745314","89305887.2663384","109606687.8868748","101317583.83806553","90766709.79678361","87827320.74976288","97520554.67044553","94934755.78000568","88142203.19078419","90887129.30260184","107748208.16639431","111080566.33644286","97511451.6613186","89070758.49689662","85246795.04174805","85839847.06537864","91503255.07942115","87007032.04793423","85944303.94700971","90741584.91712047","91368583.12293346" \ No newline at end of file From fba4954b765b4c5286a760194e7af012c303f4bd Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 15:14:11 -0300 Subject: [PATCH 18/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 6145c1f..3a959cd 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -30,7 +30,8 @@ Este projeto consiste na criação de um banco de dados climáticos da Bahia e a - **Base 3**: [Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)](https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA..) -![image](https://github.com/user-attachments/assets/59f08116-8871-483b-9a66-4d4ee7385f07) +![image](https://github.com/user-attachments/assets/485e7e6c-9ebf-418c-8e25-d570c54780e1) + --- From c9f2dfdfbff638edf2d39fd6cd808c27ae69d4d4 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 15:21:18 -0300 Subject: [PATCH 19/90] Add files via upload --- material/SEEG.csv | 6 ++++++ 1 file changed, 6 insertions(+) create mode 100644 material/SEEG.csv diff --git a/material/SEEG.csv b/material/SEEG.csv new file mode 100644 index 0000000..5b5ab2b --- /dev/null +++ b/material/SEEG.csv @@ -0,0 +1,6 @@ +"Categoria","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022" +"Mudança de Uso da Terra e Floresta","70346747.15899676","71780019.26727358","66197609.62467325","70596267.4275751","65561886.20244032","65837268.39167261","57888942.425540954","47957781.19114104","45902644.51174931","52758816.455465525","53541736.09887202","54583565.539362594","48897778.96005872","44792024.845131695","62041921.23971866","53873566.600383624","42938042.57816073","36201333.19042103","44185860.04666814","44958049.99438389","36218796.598589376","37999331.77184552","53872973.21679476","51958218.25629969","37191106.66246329","31902645.03827828","31308046.09885961","32342972.05444017","38049420.59290606","33720265.584785685","33245186.445011586","31815271.56421204","31412973" +"Energia","7201324.816306114","8076961.595110893","8669754.594772339","8385364.133228064","7919570.698990822","8254936.101415157","9534808.853681564","9689752.605726406","9972465.426211596","10029084.000920385","11274811.334295094","12074003.738727897","11655269.71425873","11789841.376847565","12788522.526509296","13216753.612271708","13636715.65010782","16335534.214995926","18060524.81466927","16019397.580213789","17393160.92819295","18631423.099425375","20586804.57165408","23496691.06907982","24857987.82011693","22435646.043577615","20198363.54543139","19992621.079417486","19482941.55755872","18805179.166807678","18572977.240542356","20693337.017740976","20708649.128318045" +"Processos Industriais","1059358.203125","972238.080078125","1015057.193359375","997803.40625","1097343.310546875","1165916.056640625","1182231.4241790771","1183101.3510742188","1084669.345703125","1105286.6333007812","974977.9085083008","852414.0599365234","887497.244140625","1133909.3569335938","1139437.94140625","1274966.36328125","1171726.71875","1304685.89453125","1380582.4521484375","1147463.130859375","1376282.6987304688","1428740.326171875","1315185.591796875","1402934.076171875","1507227.133178711","1500615.4096984863","1356989.982421875","1363629.826171875","1382656.044921875","1420286.357421875","1425764.544921875","1445519.732421875","1405316.076171875" +"Agropecuária","407969.64688336995","464311.5186898885","75677.5166899324","161563.7577980639","236419.56115783835","109861.29467976211","144348.21356611536","270258.4904575213","288143.26483748876","306326.8358138205","407701.99016999704","273545.6014530697","271940.3816922499","315812.993156246","373598.18056940206","216121.41182320117","237535.92404085773","415963.6867735738","478478.8300304811","577561.3866001252","545697.25139155","549484.0510563524","133795.88258101756","538826.5792514924","620487.9919842622","559163.425558085","660432.7767597907","616341.0717851928","661722.2221086083","629610.2413584616","781486.676248472","862946.258210164","586527.2183358392" +"Resíduos","934.2852138131857","1060.0047563267872","1147.97507139761","1267.747833987698","1389.7437331024557","1513.940449949354","1640.3180019175634","14882.959914520383","29386.023218363523","45172.98754963279","61864.608474969864","63243.891332149506","64581.83333480358","65960.65191957355","67270.77424505353","67294.66543662548","69006.3730891347","69217.81469470263","82771.9373126626","77245.71890473366","79236.20218062401","91191.30848306417","103804.63240623474","105108.75460392237","93472.06053519249","99466.94132822752","94123.71108865738","95843.82055485249","83152.33231425285","87241.31074410677","88474.54308027029","88595.71922969818","85944.81039243937" \ No newline at end of file From 4188eb63a339ccc4d1d86c5e514a8b154aa59397 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 15:26:50 -0300 Subject: [PATCH 20/90] Atualizar o projeto_final_paloma.md --- material /projeto_final_paloma.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 3a959cd..4b8aefd 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -45,7 +45,10 @@ Como o desmatamento na Bahia impacta nas taxas de emissão de CO2 e sua relaçã 2. **[Pergunta comparativa]** - Municípios com maiores dados 3. **[Pergunta relacional]** - Existe correlação entre os três dados e a pandemia 4. **[Pergunta exploratória]** - Quais insights podem ser extraídos a partir dos padrões identificados nos dados? - +Como o desmatamento na Bahia impacta as taxas de emissão de CO₂ e qual sua relação com a temperatura dos oceanos? +Qual a taxa de desmatamento nos biomas/municípios da Bahia e como ela evoluiu no período de 2019 a 2022? +Existe uma relação entre as áreas desmatadas e o aumento da temperatura da água do mar nas regiões costeiras afetadas? +Quais regiões da Bahia apresentam as maiores emissões de carbono derivadas do desmatamento e como isso se reflete nas mudanças de temperatura do oceano? --- ## Ferramentas Utilizadas From 3ce20a4c6c02d7478c71cdc2aff82526fb1311dc Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 15:34:56 -0300 Subject: [PATCH 21/90] Rename SEEG.csv to SEEG.csv --- {material => dados}/SEEG.csv | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename {material => dados}/SEEG.csv (98%) diff --git a/material/SEEG.csv b/dados/SEEG.csv similarity index 98% rename from material/SEEG.csv rename to dados/SEEG.csv index 5b5ab2b..390c38b 100644 --- a/material/SEEG.csv +++ b/dados/SEEG.csv @@ -3,4 +3,4 @@ "Energia","7201324.816306114","8076961.595110893","8669754.594772339","8385364.133228064","7919570.698990822","8254936.101415157","9534808.853681564","9689752.605726406","9972465.426211596","10029084.000920385","11274811.334295094","12074003.738727897","11655269.71425873","11789841.376847565","12788522.526509296","13216753.612271708","13636715.65010782","16335534.214995926","18060524.81466927","16019397.580213789","17393160.92819295","18631423.099425375","20586804.57165408","23496691.06907982","24857987.82011693","22435646.043577615","20198363.54543139","19992621.079417486","19482941.55755872","18805179.166807678","18572977.240542356","20693337.017740976","20708649.128318045" "Processos Industriais","1059358.203125","972238.080078125","1015057.193359375","997803.40625","1097343.310546875","1165916.056640625","1182231.4241790771","1183101.3510742188","1084669.345703125","1105286.6333007812","974977.9085083008","852414.0599365234","887497.244140625","1133909.3569335938","1139437.94140625","1274966.36328125","1171726.71875","1304685.89453125","1380582.4521484375","1147463.130859375","1376282.6987304688","1428740.326171875","1315185.591796875","1402934.076171875","1507227.133178711","1500615.4096984863","1356989.982421875","1363629.826171875","1382656.044921875","1420286.357421875","1425764.544921875","1445519.732421875","1405316.076171875" "Agropecuária","407969.64688336995","464311.5186898885","75677.5166899324","161563.7577980639","236419.56115783835","109861.29467976211","144348.21356611536","270258.4904575213","288143.26483748876","306326.8358138205","407701.99016999704","273545.6014530697","271940.3816922499","315812.993156246","373598.18056940206","216121.41182320117","237535.92404085773","415963.6867735738","478478.8300304811","577561.3866001252","545697.25139155","549484.0510563524","133795.88258101756","538826.5792514924","620487.9919842622","559163.425558085","660432.7767597907","616341.0717851928","661722.2221086083","629610.2413584616","781486.676248472","862946.258210164","586527.2183358392" -"Resíduos","934.2852138131857","1060.0047563267872","1147.97507139761","1267.747833987698","1389.7437331024557","1513.940449949354","1640.3180019175634","14882.959914520383","29386.023218363523","45172.98754963279","61864.608474969864","63243.891332149506","64581.83333480358","65960.65191957355","67270.77424505353","67294.66543662548","69006.3730891347","69217.81469470263","82771.9373126626","77245.71890473366","79236.20218062401","91191.30848306417","103804.63240623474","105108.75460392237","93472.06053519249","99466.94132822752","94123.71108865738","95843.82055485249","83152.33231425285","87241.31074410677","88474.54308027029","88595.71922969818","85944.81039243937" \ No newline at end of file +"Resíduos","934.2852138131857","1060.0047563267872","1147.97507139761","1267.747833987698","1389.7437331024557","1513.940449949354","1640.3180019175634","14882.959914520383","29386.023218363523","45172.98754963279","61864.608474969864","63243.891332149506","64581.83333480358","65960.65191957355","67270.77424505353","67294.66543662548","69006.3730891347","69217.81469470263","82771.9373126626","77245.71890473366","79236.20218062401","91191.30848306417","103804.63240623474","105108.75460392237","93472.06053519249","99466.94132822752","94123.71108865738","95843.82055485249","83152.33231425285","87241.31074410677","88474.54308027029","88595.71922969818","85944.81039243937" From 69ab2b85739d8fb12d3e8fe9d63acc5d819bdc75 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 15:35:14 -0300 Subject: [PATCH 22/90] Rename dados_pirata (1).csv to dados_pirata (1).csv --- {material => dados}/dados_pirata (1).csv | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename {material => dados}/dados_pirata (1).csv (100%) diff --git a/material/dados_pirata (1).csv b/dados/dados_pirata (1).csv similarity index 100% rename from material/dados_pirata (1).csv rename to dados/dados_pirata (1).csv From d48b9857e0a88d434d1bd453a5ec910b7aa37ffb Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 15:35:36 -0300 Subject: [PATCH 23/90] Rename dados_pirata.csv to dados_pirata.csv --- {material => dados}/dados_pirata.csv | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename {material => dados}/dados_pirata.csv (100%) diff --git a/material/dados_pirata.csv b/dados/dados_pirata.csv similarity index 100% rename from material/dados_pirata.csv rename to dados/dados_pirata.csv From 87004079ac2ee448d8664f4eca71991f8880fa0c Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 15:35:56 -0300 Subject: [PATCH 24/90] Rename mapbiomas.csv to mapbiomas.csv --- dados/mapbiomas.csv | 1 + material/mapbiomas.csv | 28398 --------------------------------------- 2 files changed, 1 insertion(+), 28398 deletions(-) create mode 100644 dados/mapbiomas.csv delete mode 100644 material/mapbiomas.csv diff --git a/dados/mapbiomas.csv b/dados/mapbiomas.csv new file mode 100644 index 0000000..d3f5a12 --- /dev/null +++ b/dados/mapbiomas.csv @@ -0,0 +1 @@ + diff --git a/material/mapbiomas.csv b/material/mapbiomas.csv deleted file mode 100644 index 5802ab5..0000000 --- a/material/mapbiomas.csv +++ /dev/null @@ -1,28398 +0,0 @@ -CODEALERTA,FONTE,BIOMA,ESTADO,MUNICIPIO,AREAHA,ANODETEC,DATADETEC,DTIMGANT,DTIMGDEP,DTPUBLI,VPRESSAO -"1226926",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,2.9600000000,2024.0000000000,2024/01/01,2023/01/26,2024/02/14,2024/04/30,agriculture -"1226922",{SAD-CAATINGA},Caatinga,BAHIA,Miguel Calmon,1.6900000000,2024.0000000000,2024/01/01,2023/06/30,2024/01/31,2024/04/30,agriculture -"1227303",{SAD-CAATINGA},Caatinga,BAHIA,Buritirama,2.0500000000,2024.0000000000,2024/01/01,2023/03/17,2023/10/10,2024/04/30,agriculture -"1227296",{SAD-CAATINGA},Caatinga,BAHIA,Piatã,0.6900000000,2024.0000000000,2024/01/01,2023/04/27,2023/06/17,2024/04/30,agriculture -"1227291",{SAD-CAATINGA},Caatinga,BAHIA,Cotegipe,23.9700000000,2024.0000000000,2024/01/01,2023/08/12,2023/10/17,2024/04/30,agriculture -"1226810",{SAD-CAATINGA},Caatinga,BAHIA,Jeremoabo,7.5600000000,2024.0000000000,2024/01/01,2023/01/26,2023/10/28,2024/04/30,agriculture -"1226805",{SAD-CAATINGA},Caatinga,BAHIA,Riacho de Santana,48.9300000000,2024.0000000000,2024/01/01,2022/02/27,2023/04/01,2024/04/30,agriculture -"1226750",{SAD-CAATINGA},Caatinga,BAHIA,Jeremoabo,11.0400000000,2024.0000000000,2024/01/01,2023/04/14,2024/01/20,2024/04/30,agriculture -"1226744",{SAD-CAATINGA},Caatinga,BAHIA,Mundo Novo,1.3300000000,2024.0000000000,2024/01/01,2023/04/19,2024/01/08,2024/04/30,agriculture -"1226738",{SAD-CAATINGA},Caatinga,BAHIA,Cordeiros,2.5200000000,2024.0000000000,2024/01/01,2023/08/05,2024/01/13,2024/04/30,agriculture 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-"1228394",{SAD-CAATINGA},Caatinga,BAHIA,Antas,5.6300000000,2024.0000000000,2024/01/01,2023/04/25,2024/01/31,2024/04/30,agriculture -"1263111",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,16.0600000000,2024.0000000000,2024/03/01,2024/05/08,2024/06/27,2024/08/12,agriculture -"1227548",{SAD-CAATINGA},Caatinga,BAHIA,Piatã,14.5500000000,2024.0000000000,2024/01/01,2023/02/09,2023/10/19,2024/04/30,agriculture -"1228531",{SAD-CAATINGA},Caatinga,BAHIA,Monte Santo,2.9000000000,2024.0000000000,2024/02/01,2023/07/14,2024/02/15,2024/04/30,agriculture -"1263803",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,10.9200000000,2024.0000000000,2024/06/01,2024/04/15,2024/06/29,2024/08/12,agriculture -"1263767",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,90.3700000000,2024.0000000000,2024/06/01,2024/02/28,2024/06/22,2024/08/12,agriculture -"1226069",{SAD-CAATINGA},Caatinga,BAHIA,Ituaçu,14.1700000000,2024.0000000000,2024/01/01,2023/09/15,2024/03/17,2024/04/30,agriculture -"1225812",{SAD-CAATINGA},Caatinga,BAHIA,Mundo Novo,17.6200000000,2024.0000000000,2024/02/01,2023/11/12,2024/03/16,2024/04/30,agriculture -"1228276",{SAD-CAATINGA},Caatinga,BAHIA,Ibicoara,0.9300000000,2024.0000000000,2024/01/01,2023/03/05,2023/04/16,2024/04/30,agriculture -"1225287",{SAD-CAATINGA},Caatinga,BAHIA,Rafael Jambeiro,4.9100000000,2024.0000000000,2024/02/01,2022/11/29,2024/02/14,2024/04/30,agriculture -"1263870",{SAD-CERRADO},Cerrado,BAHIA,Correntina,612.3600000000,2024.0000000000,2024/04/01,2024/01/19,2024/08/21,2024/08/12,agriculture -"1224404",{SAD-CAATINGA},Caatinga,BAHIA,Várzea da Roça,15.0200000000,2024.0000000000,2024/01/01,2023/01/22,2024/01/08,2024/04/30,agriculture -"1223710",{SAD-CAATINGA},Caatinga,BAHIA,Ribeira do Pombal,5.5900000000,2024.0000000000,2024/01/01,2023/01/25,2024/01/31,2024/04/30,agriculture -"1222003",{SAD-CAATINGA},Caatinga,BAHIA,Itapicuru,5.6900000000,2024.0000000000,2024/01/01,2023/04/14,2024/01/14,2024/04/30,agriculture -"1222033",{SAD-CAATINGA},Caatinga,BAHIA,Pedro Alexandre,120.3900000000,2024.0000000000,2024/01/01,2023/01/09,2024/01/31,2024/04/30,agriculture -"1221810",{SAD-CAATINGA},Caatinga,BAHIA,Cansanção,9.2000000000,2024.0000000000,2024/01/01,2023/01/22,2024/02/17,2024/04/30,agriculture -"1263796",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,59.8900000000,2024.0000000000,2024/04/01,2024/03/09,2024/06/22,2024/08/12,agriculture -"1263366",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,100.1200000000,2024.0000000000,2024/04/01,2023/12/25,2024/05/28,2024/08/12,agriculture -"1224758",{SAD-CAATINGA},Caatinga,BAHIA,Senhor do Bonfim,15.9600000000,2024.0000000000,2024/01/01,2023/03/06,2024/01/08,2024/04/30,agriculture -"1224752",{SAD-CAATINGA},Caatinga,BAHIA,Maetinga,0.3900000000,2024.0000000000,2024/01/01,2023/05/20,2024/01/31,2024/04/30,agriculture -"1224754",{SAD-CAATINGA},Caatinga,BAHIA,Campo Formoso,2.0200000000,2024.0000000000,2024/01/01,2023/08/26,2024/01/22,2024/04/30,agriculture -"1260884",{DETER-CERRADO},Cerrado,BAHIA,Correntina,90.2000000000,2024.0000000000,2024/05/08,2023/12/14,2024/05/15,2024/08/12,agriculture -"1260270",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,57.2500000000,2024.0000000000,2024/05/08,2024/04/14,2024/06/25,2024/08/12,agriculture -"1260269",{DETER-CERRADO},Cerrado,BAHIA,Cristópolis,7.1200000000,2024.0000000000,2024/06/01,2024/03/17,2024/04/28,2024/08/12,agriculture -"1222340",{SAD-CAATINGA},Caatinga,BAHIA,Pindobaçu,139.9900000000,2024.0000000000,2024/01/01,2023/01/26,2024/01/13,2024/04/30,agriculture -"1221953",{SAD-CAATINGA},Caatinga,BAHIA,Ribeira do Pombal,33.7000000000,2024.0000000000,2024/01/01,2023/04/21,2024/01/31,2024/04/30,agriculture -"1221926",{SAD-CAATINGA},Caatinga,BAHIA,Crisópolis,10.0800000000,2024.0000000000,2024/01/01,2022/12/13,2024/02/17,2024/04/30,agriculture -"1221851",{SAD-CAATINGA},Caatinga,BAHIA,Coronel João Sá,14.3700000000,2024.0000000000,2024/01/01,2023/11/13,2024/02/28,2024/04/30,agriculture -"1221547",{SAD-CAATINGA},Caatinga,BAHIA,Itiúba,5.3200000000,2024.0000000000,2024/01/01,2023/07/14,2024/01/14,2024/04/30,agriculture -"1221546",{SAD-CAATINGA},Caatinga,BAHIA,Monte Santo,3.2200000000,2024.0000000000,2024/01/01,2023/08/27,2024/01/31,2024/04/30,agriculture -"1261563",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,78.3100000000,2024.0000000000,2024/06/01,2024/05/03,2024/06/29,2024/08/12,agriculture -"1261762",{SAD-CERRADO},Cerrado,BAHIA,Barreiras,21.4500000000,2024.0000000000,2024/05/01,2024/03/09,2024/05/28,2024/08/12,agriculture -"1263981",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,123.0100000000,2024.0000000000,2024/05/01,2024/05/03,2024/06/29,2024/08/12,agriculture -"1263955",{SAD-CERRADO},Cerrado,BAHIA,Catolândia,12.5900000000,2024.0000000000,2024/06/01,2024/02/13,2024/06/27,2024/08/12,agriculture -"1263872",{SAD-CERRADO},Cerrado,BAHIA,Catolândia,88.3400000000,2024.0000000000,2024/06/01,2024/05/03,2024/08/26,2024/08/12,agriculture -"1263844",{SAD-CERRADO},Cerrado,BAHIA,Correntina,35.9600000000,2024.0000000000,2024/06/01,2024/05/08,2024/06/27,2024/08/12,agriculture -"1260098",{DETER-CERRADO},Cerrado,BAHIA,Cocos,125.6500000000,2024.0000000000,2024/06/01,2024/05/01,2024/06/12,2024/08/12,agriculture -"1259900",{DETER-CERRADO},Cerrado,BAHIA,Cotegipe,86.6600000000,2024.0000000000,2024/06/18,2024/05/31,2024/07/04,2024/08/12,agriculture -"1259789",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,266.2900000000,2024.0000000000,2024/06/24,2024/05/01,2024/08/18,2024/08/12,agriculture -"1259735",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,2.6600000000,2024.0000000000,2024/06/07,2024/04/30,2024/05/30,2024/08/12,agriculture -"1259681",{DETER-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,9.9500000000,2024.0000000000,2024/06/07,2024/05/09,2024/05/17,2024/08/12,agriculture -"1259676",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,6.9400000000,2024.0000000000,2024/06/01,2024/05/03,2024/06/28,2024/08/12,agriculture -"1259568",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,6.5300000000,2024.0000000000,2024/06/01,2024/05/17,2024/05/31,2024/08/12,agriculture -"1259540",{DETER-CERRADO},Cerrado,BAHIA,Igaporã,6.4800000000,2024.0000000000,2024/06/07,2024/04/18,2024/06/22,2024/08/12,agriculture -"1261860",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,54.4200000000,2024.0000000000,2024/04/01,2024/02/05,2024/05/28,2024/08/12,agriculture -"1263525",{SAD-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,11.6300000000,2024.0000000000,2024/05/01,2024/03/09,2024/05/28,2024/08/12,agriculture -"1259410",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,51.1300000000,2024.0000000000,2024/05/03,2024/05/31,2024/06/20,2024/08/12,agriculture -"1259271",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,6.0300000000,2024.0000000000,2024/05/28,2024/04/25,2024/05/28,2024/08/12,agriculture -"1259059",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,9.4200000000,2024.0000000000,2024/05/24,2023/12/25,2024/03/25,2024/08/12,agriculture -"1262193",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,33.5500000000,2024.0000000000,2024/05/01,2024/02/13,2024/05/28,2024/08/12,agriculture -"1263920",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,25.0600000000,2024.0000000000,2024/04/01,2024/03/26,2024/05/05,2024/08/12,agriculture -"1264208",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,20.1900000000,2024.0000000000,2024/04/01,2024/02/05,2024/06/29,2024/08/12,agriculture -"1262375",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,8.3200000000,2024.0000000000,2024/06/01,2024/05/03,2024/06/27,2024/08/12,agriculture -"1262373",{SAD-CERRADO},Cerrado,BAHIA,Cristópolis,32.7600000000,2024.0000000000,2024/05/01,2024/05/05,2024/06/29,2024/08/12,agriculture -"1262519",{SAD-CERRADO},Cerrado,BAHIA,Barreiras,12.2600000000,2024.0000000000,2024/06/01,2023/12/05,2024/06/27,2024/08/12,agriculture -"1263441",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,8.9100000000,2024.0000000000,2024/06/01,2024/03/11,2024/06/29,2024/08/12,agriculture -"1263436",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,10.2400000000,2024.0000000000,2024/06/01,2024/05/03,2024/06/27,2024/08/12,agriculture -"1262781",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,61.2400000000,2024.0000000000,2024/03/01,2023/12/10,2024/06/22,2024/08/12,agriculture -"1262799",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,11.0000000000,2024.0000000000,2024/04/01,2024/03/09,2024/05/03,2024/08/12,agriculture -"1262919",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,44.3800000000,2024.0000000000,2024/06/01,2024/03/09,2024/06/27,2024/08/12,agriculture -"1263020",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,105.8100000000,2024.0000000000,2024/06/01,2024/04/08,2024/06/22,2024/08/12,agriculture -"1263043",{SAD-CERRADO},Cerrado,BAHIA,Cocos,13.4600000000,2024.0000000000,2024/04/01,2024/03/26,2024/05/30,2024/08/12,agriculture -"1260721",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,11.4200000000,2024.0000000000,2024/05/03,2024/05/01,2024/07/05,2024/08/12,agriculture -"1260490",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,212.9400000000,2024.0000000000,2024/05/24,2024/05/05,2024/08/16,2024/08/12,agriculture -"1259170",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,29.6200000000,2024.0000000000,2024/05/13,2023/11/28,2024/02/27,2024/08/12,agriculture -"1260240",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,282.2800000000,2024.0000000000,2024/05/03,2024/04/14,2024/05/28,2024/08/12,agriculture -"1258734",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,7.6200000000,2024.0000000000,2024/05/03,2023/09/08,2023/10/18,2024/08/12,agriculture -"1258556",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,2.2500000000,2024.0000000000,2024/05/24,2024/01/10,2024/05/28,2024/08/12,agriculture -"1258259",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,8.7400000000,2024.0000000000,2024/05/13,2024/06/10,2024/07/30,2024/08/12,agriculture -"1258190",{DETER-CERRADO},Cerrado,BAHIA,Coribe,7.1200000000,2024.0000000000,2024/05/24,2024/04/19,2024/07/11,2024/08/12,agriculture -"1258081",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,24.1700000000,2024.0000000000,2024/05/24,2024/04/14,2024/05/16,2024/08/12,agriculture -"1257882",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,3.0900000000,2024.0000000000,2024/05/03,2024/02/05,2024/03/03,2024/08/12,agriculture -"1257686",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,6.5300000000,2024.0000000000,2024/05/13,2024/03/25,2024/05/31,2024/08/12,agriculture -"1262068",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,25.4800000000,2024.0000000000,2024/03/01,2024/01/19,2024/05/28,2024/08/12,agriculture -"1261921",{SAD-CERRADO},Cerrado,BAHIA,Correntina,141.9800000000,2024.0000000000,2024/03/01,2024/04/03,2024/06/22,2024/08/12,agriculture -"1249450",{SAD-CAATINGA},Caatinga,BAHIA,Coronel João Sá,11.1500000000,2024.0000000000,2024/03/01,2023/08/26,2024/04/12,2024/08/12,agriculture -"1257893",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,4.9900000000,2024.0000000000,2024/05/03,2023/08/10,2024/05/01,2024/08/12,agriculture -"1257728",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,5.4100000000,2024.0000000000,2024/05/13,2024/04/15,2024/05/01,2024/08/12,agriculture -"1260588",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,19.6800000000,2024.0000000000,2024/06/14,2024/05/05,2024/07/29,2024/08/12,agriculture -"1273084",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,2.4200000000,2024.0000000000,2024/07/31,2024/04/09,2024/05/24,2024/08/16,agriculture -"1273441",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itambé,9.8400000000,2024.0000000000,2024/07/31,2024/02/14,2024/04/18,2024/08/16,agriculture -"1272652",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,22.5100000000,2024.0000000000,2024/07/31,2023/07/14,2024/07/18,2024/08/16,agriculture -"1272716",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,4.0600000000,2024.0000000000,2024/07/31,2024/04/07,2024/06/13,2024/08/16,agriculture -"1271942",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,0.7400000000,2024.0000000000,2024/07/31,2023/12/28,2024/04/07,2024/08/16,agriculture -"1272541",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Vitória da Conquista,3.2200000000,2024.0000000000,2024/07/31,2024/02/25,2024/04/18,2024/08/16,agriculture -"1272487",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.7400000000,2024.0000000000,2024/07/31,2024/02/01,2024/06/30,2024/08/16,agriculture -"1272462",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,13.0800000000,2024.0000000000,2024/07/31,2023/12/11,2024/08/08,2024/08/16,agriculture -"1272445",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,5.5000000000,2024.0000000000,2024/07/31,2023/07/13,2024/05/14,2024/08/16,agriculture -"1272107",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ilhéus,1.2500000000,2024.0000000000,2024/07/31,2024/02/15,2024/05/16,2024/08/16,agriculture -"1272026",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Catu,0.6200000000,2024.0000000000,2024/07/31,2024/02/25,2024/06/14,2024/08/16,agriculture -"1272638",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Taperoá,3.5600000000,2024.0000000000,2024/07/31,2024/01/10,2024/03/11,2024/08/16,agriculture -"1272282",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,2.2400000000,2024.0000000000,2024/07/31,2024/01/02,2024/05/19,2024/08/16,agriculture -"1271473",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,8.4800000000,2024.0000000000,2024/07/31,2024/01/12,2024/04/26,2024/08/16,agriculture -"1271912",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,0.8900000000,2024.0000000000,2024/07/31,2024/01/15,2024/04/18,2024/08/16,agriculture -"1271759",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,0.2800000000,2024.0000000000,2024/07/31,2024/04/07,2024/05/14,2024/08/16,agriculture -"1271824",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,1.0300000000,2024.0000000000,2024/07/31,2024/02/29,2024/03/22,2024/08/16,agriculture -"1271811",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,1.0400000000,2024.0000000000,2024/07/31,2024/02/06,2024/03/11,2024/08/16,agriculture -"1271741",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,2.5400000000,2024.0000000000,2024/07/31,2024/03/09,2024/04/26,2024/08/16,agriculture -"1271612",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Arataca,1.2200000000,2024.0000000000,2024/07/31,2024/01/30,2024/05/13,2024/08/16,agriculture -"1271648",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Igrapiúna,0.5500000000,2024.0000000000,2024/07/31,2024/04/19,2024/05/14,2024/08/16,agriculture -"1271479",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,3.0600000000,2024.0000000000,2024/07/31,2024/02/29,2024/04/12,2024/08/16,agriculture -"1271506",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Cruz Cabrália,0.6300000000,2024.0000000000,2024/07/31,2024/04/17,2024/05/19,2024/08/16,agriculture -"1270855",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,0.7500000000,2024.0000000000,2024/07/31,2024/02/02,2024/03/21,2024/08/16,agriculture -"1270906",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caatiba,3.8000000000,2024.0000000000,2024/07/31,2024/01/30,2024/03/16,2024/08/16,agriculture -"1271463",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,2.7500000000,2024.0000000000,2024/07/31,2024/03/01,2024/05/13,2024/08/16,agriculture -"1271335",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,1.1900000000,2024.0000000000,2024/07/31,2024/01/03,2024/03/24,2024/08/16,agriculture -"1271219",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,0.7100000000,2024.0000000000,2024/07/31,2024/03/19,2024/05/19,2024/08/16,agriculture -"1271137",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Eunápolis,2.6700000000,2024.0000000000,2024/07/31,2023/12/30,2024/03/18,2024/08/16,agriculture -"1271000",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Iguaí,10.1800000000,2024.0000000000,2024/07/31,2024/03/21,2024/06/29,2024/08/16,agriculture -"1270961",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.9400000000,2024.0000000000,2024/07/31,2024/03/01,2024/05/13,2024/08/16,agriculture -"1270938",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Taperoá,0.8300000000,2024.0000000000,2024/07/31,2024/03/01,2024/06/30,2024/08/16,agriculture -"1270899",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,8.3400000000,2024.0000000000,2024/07/31,2024/03/07,2024/08/21,2024/08/16,agriculture -"1270617",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,6.6600000000,2024.0000000000,2024/07/31,2024/03/31,2024/05/24,2024/08/16,agriculture -"1270698",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Vitória da Conquista,5.1700000000,2024.0000000000,2024/07/31,2024/03/07,2024/05/24,2024/08/16,agriculture -"1270161",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itarantim,5.3700000000,2024.0000000000,2024/07/31,2023/12/30,2024/03/18,2024/08/16,agriculture -"1270572",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Irajuba,2.7100000000,2024.0000000000,2024/07/31,2024/04/18,2024/05/13,2024/08/16,agriculture -"1270469",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Igrapiúna,0.5100000000,2024.0000000000,2024/07/31,2024/03/01,2024/04/19,2024/08/16,agriculture -"1270463",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nova Ibiá,8.0000000000,2024.0000000000,2024/07/31,2023/11/24,2024/05/13,2024/08/16,agriculture -"1270418",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,21.2500000000,2024.0000000000,2024/07/31,2024/01/31,2024/07/03,2024/08/16,agriculture -"1270372",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belo Campo,2.9300000000,2024.0000000000,2024/07/31,2024/01/12,2024/07/12,2024/08/16,agriculture -"1270273",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itapebi,2.0300000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/29,2024/08/16,agriculture -"1270163",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Boa Nova,5.9200000000,2024.0000000000,2024/07/31,2024/02/28,2024/05/03,2024/08/16,agriculture -"1270185",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagi,0.8700000000,2024.0000000000,2024/07/31,2023/12/30,2024/06/28,2024/08/16,agriculture -"1270187",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Poções,2.0200000000,2024.0000000000,2024/07/31,2024/03/17,2024/05/02,2024/08/16,agriculture -"1269641",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Conde,3.8300000000,2024.0000000000,2024/07/31,2024/02/25,2024/03/25,2024/08/16,urban_expansion -"1270146",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jaguaquara,1.0600000000,2024.0000000000,2024/07/31,2024/01/30,2024/04/18,2024/08/16,agriculture -"1270140",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,0.5500000000,2024.0000000000,2024/07/31,2024/01/15,2024/02/15,2024/08/16,agriculture -"1269967",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Arataca,2.7300000000,2024.0000000000,2024/07/31,2023/11/22,2024/03/16,2024/08/16,agriculture -"1269980",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ubaíra,3.1600000000,2024.0000000000,2024/07/31,2024/03/16,2024/05/02,2024/08/16,agriculture -"1269966",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Inês,0.7200000000,2024.0000000000,2024/07/31,2024/03/10,2024/03/16,2024/08/16,agriculture -"1269642",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.6500000000,2024.0000000000,2024/07/31,2024/02/17,2024/05/10,2024/08/16,agriculture -"1269741",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,1.4500000000,2024.0000000000,2024/07/31,2024/01/30,2024/05/12,2024/08/16,agriculture -"1269744",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,53.4800000000,2024.0000000000,2024/07/31,2024/03/01,2024/04/18,2024/08/16,agriculture -"1269952",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,3.5300000000,2024.0000000000,2024/07/31,2023/12/30,2024/05/13,2024/08/16,agriculture -"1269623",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,8.1800000000,2024.0000000000,2024/07/31,2023/12/27,2024/03/10,2024/08/16,agriculture -"1268924",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Conde,2.8500000000,2024.0000000000,2024/07/31,2024/03/29,2024/05/06,2024/08/16,agriculture -"1269585",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itacaré,3.8400000000,2024.0000000000,2024/07/31,2024/03/11,2024/05/19,2024/08/16,agriculture -"1269540",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caravelas,0.7800000000,2024.0000000000,2024/07/31,2024/01/14,2024/03/01,2024/08/16,agriculture -"1269490",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jucuruçu,7.7900000000,2024.0000000000,2024/07/31,2023/12/22,2024/03/22,2024/08/16,agriculture -"1269390",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Mucuri,1.7900000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/14,2024/08/16,agriculture -"1269393",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Uruçuca,0.6300000000,2024.0000000000,2024/07/31,2023/06/22,2024/05/03,2024/08/16,agriculture -"1269166",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,25.5000000000,2024.0000000000,2024/07/31,2024/03/31,2024/07/18,2024/08/16,agriculture -"1269103",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabuna,3.0300000000,2024.0000000000,2024/07/31,2023/10/15,2024/05/24,2024/08/16,agriculture -"1268966",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,9.7700000000,2024.0000000000,2024/07/31,2023/12/30,2024/05/19,2024/08/16,agriculture -"1262768",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,11.4700000000,2024.0000000000,2024/03/01,2024/05/18,2024/06/12,2024/08/12,agriculture -"1270704",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,1.4200000000,2024.0000000000,2024/07/31,2024/01/12,2024/06/10,2024/08/16,agriculture -"1268231",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camaçari,3.8400000000,2024.0000000000,2024/07/31,2024/02/14,2024/04/19,2024/08/16,agriculture -"1268917",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Esplanada,2.1300000000,2024.0000000000,2024/07/31,2024/01/31,2024/06/29,2024/08/16,agriculture -"1268849",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Eunápolis,1.1400000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/25,2024/08/16,agriculture -"1268804",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,41.7400000000,2024.0000000000,2024/07/31,2024/01/12,2024/07/17,2024/08/16,agriculture -"1268729",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Taperoá,0.8200000000,2024.0000000000,2024/07/31,2023/12/25,2024/05/10,2024/08/16,agriculture -"1268694",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,0.8100000000,2024.0000000000,2024/07/31,2024/01/11,2024/03/21,2024/08/16,agriculture -"1268367",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Wenceslau Guimarães,0.5400000000,2024.0000000000,2024/07/31,2024/01/31,2024/03/02,2024/08/16,agriculture -"1268263",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camaçari,4.7200000000,2024.0000000000,2024/07/31,2023/09/07,2024/06/28,2024/08/16,agriculture -"1226109",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,7.5800000000,2024.0000000000,2024/02/01,2023/02/23,2024/02/03,2024/04/30,agriculture -"1223325",{SAD-CAATINGA},Caatinga,BAHIA,Itatim,45.7700000000,2024.0000000000,2024/01/01,2023/03/12,2024/01/31,2024/04/30,agriculture -"1222845",{SAD-CAATINGA},Caatinga,BAHIA,Caetanos,58.5900000000,2024.0000000000,2024/01/01,2023/03/30,2024/01/17,2024/04/30,agriculture -"1225139",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,11.0100000000,2024.0000000000,2024/02/01,2023/07/25,2024/03/06,2024/04/30,agriculture -"1260606",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,32.9500000000,2024.0000000000,2024/05/03,2023/12/05,2024/05/29,2024/08/12,agriculture -"1222813",{SAD-CAATINGA},Caatinga,BAHIA,Piritiba,3.4100000000,2024.0000000000,2024/01/01,2023/01/26,2024/01/31,2024/04/30,agriculture -"1227294",{SAD-CAATINGA},Caatinga,BAHIA,Nordestina,15.4600000000,2024.0000000000,2024/01/01,2023/07/14,2024/01/24,2024/04/30,agriculture -"1221268",{SAD-CAATINGA},Caatinga,BAHIA,Olindina,5.7200000000,2024.0000000000,2024/01/01,2023/01/29,2024/01/19,2024/04/30,agriculture -"1221670",{SAD-CAATINGA},Caatinga,BAHIA,Itapicuru,13.8000000000,2024.0000000000,2024/01/01,2023/07/22,2024/01/31,2024/04/30,agriculture -"1260786",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,20.2400000000,2024.0000000000,2024/06/14,2024/01/20,2024/07/30,2024/08/12,agriculture -"1260713",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,31.7200000000,2024.0000000000,2024/06/03,2023/12/25,2024/06/14,2024/08/12,agriculture -"1260485",{DETER-CERRADO},Cerrado,BAHIA,Cocos,251.5800000000,2024.0000000000,2024/06/07,2024/05/04,2024/07/28,2024/08/12,agriculture 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-"888371",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,12.5500000000,2023.0000000000,2023/04/15,2023/01/02,2023/02/12,2023/05/19,agriculture -"888543",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,165.4700000000,2023.0000000000,2023/04/29,2022/12/13,2023/04/27,2023/05/19,agriculture -"887522",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,31.5800000000,2023.0000000000,2023/04/29,2023/03/10,2023/03/24,2023/05/19,agriculture -"888806",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,286.5400000000,2023.0000000000,2023/04/18,2022/12/31,2023/05/09,2023/05/19,agriculture -"888288",{DETER-CERRADO},Cerrado,BAHIA,Correntina,28.2000000000,2023.0000000000,2023/04/27,2023/03/04,2023/04/16,2023/05/19,agriculture -"887948",{DETER-CERRADO},Cerrado,BAHIA,Correntina,10.5800000000,2023.0000000000,2023/04/27,2022/08/02,2022/08/31,2023/05/19,agriculture -"887946",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,88.8500000000,2023.0000000000,2023/04/15,2023/02/14,2023/04/02,2023/05/19,agriculture -"887903",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,268.3600000000,2023.0000000000,2023/04/15,2023/03/04,2023/05/27,2023/05/19,agriculture -"888927",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,237.9200000000,2023.0000000000,2023/03/30,2023/02/13,2023/04/27,2023/05/19,agriculture -"887814",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,91.6300000000,2023.0000000000,2023/03/11,2022/09/28,2023/05/26,2023/05/19,agriculture -"887779",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,150.8400000000,2023.0000000000,2023/03/08,2022/01/22,2022/12/31,2023/05/19,agriculture -"888994",{DETER-CERRADO},Cerrado,BAHIA,Correntina,73.0800000000,2023.0000000000,2023/04/15,2023/01/02,2023/05/25,2023/05/19,agriculture -"888992",{DETER-CERRADO},Cerrado,BAHIA,Correntina,84.6600000000,2023.0000000000,2023/03/26,2023/01/17,2023/04/27,2023/05/19,agriculture -"888697",{DETER-CERRADO},Cerrado,BAHIA,Cocos,219.4400000000,2023.0000000000,2023/04/21,2023/01/02,2023/05/22,2023/05/19,agriculture -"888660",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,213.2300000000,2023.0000000000,2023/03/03,2023/01/01,2023/05/25,2023/05/19,agriculture -"888580",{DETER-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,15.0800000000,2023.0000000000,2023/04/15,2023/01/10,2023/05/22,2023/05/19,agriculture -"888539",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,11.4600000000,2023.0000000000,2023/04/15,2023/01/01,2023/04/26,2023/05/19,agriculture -"888152",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,552.7000000000,2023.0000000000,2023/03/30,2023/02/11,2023/05/09,2023/05/19,agriculture -"888367",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,33.9600000000,2023.0000000000,2023/04/27,2023/01/17,2023/05/23,2023/05/19,agriculture -"888276",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,40.6300000000,2023.0000000000,2023/03/08,2023/01/31,2023/04/16,2023/05/19,agriculture -"889074",{DETER-CERRADO},Cerrado,BAHIA,Correntina,237.4300000000,2023.0000000000,2023/03/23,2022/10/28,2023/05/18,2023/05/19,agriculture -"889087",{DETER-CERRADO},Cerrado,BAHIA,Correntina,85.3800000000,2023.0000000000,2023/03/14,2022/09/07,2023/03/30,2023/05/19,agriculture -"889077",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,67.0900000000,2023.0000000000,2023/03/30,2022/10/18,2023/05/20,2023/05/19,agriculture -"888996",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,54.9600000000,2023.0000000000,2023/04/15,2023/01/17,2023/05/30,2023/05/19,agriculture -"888990",{DETER-CERRADO},Cerrado,BAHIA,Canápolis,118.2100000000,2023.0000000000,2023/04/15,2023/01/17,2023/05/18,2023/05/19,agriculture -"883210",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,1.1300000000,2023.0000000000,2023/04/30,2023/01/01,2023/03/19,2023/05/18,agriculture -"888942",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,125.1900000000,2023.0000000000,2023/04/15,2022/11/13,2023/04/27,2023/05/19,agriculture -"883104",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Macarani,21.9200000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/20,2023/05/18,agriculture -"888515",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,102.7100000000,2023.0000000000,2023/04/29,2023/02/22,2023/05/05,2023/05/19,agriculture -"887883",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,26.4600000000,2023.0000000000,2023/04/27,2023/03/06,2023/05/06,2023/05/19,agriculture -"887788",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,995.1100000000,2023.0000000000,2023/03/30,2023/01/02,2023/04/18,2023/05/19,agriculture -"883231",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,15.0100000000,2023.0000000000,2023/04/30,2023/01/01,2023/05/19,2023/05/18,agriculture -"883631",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabela,2.4600000000,2023.0000000000,2023/04/30,2023/01/23,2023/03/30,2023/05/18,agriculture -"882940",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Planalto,29.5500000000,2023.0000000000,2023/04/30,2022/12/21,2023/03/30,2023/05/18,agriculture -"882913",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,9.7000000000,2023.0000000000,2023/04/30,2023/01/26,2023/03/30,2023/05/18,agriculture -"882881",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,3.0800000000,2023.0000000000,2023/04/30,2023/01/25,2023/02/18,2023/05/18,agriculture -"882897",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,7.1000000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/15,2023/05/18,agriculture -"881990",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ilhéus,2.4300000000,2023.0000000000,2023/04/30,2023/02/23,2023/04/25,2023/05/18,agriculture -"881957",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Lajedo do Tabocal,9.9400000000,2023.0000000000,2023/04/30,2022/10/04,2023/04/16,2023/05/18,agriculture -"881941",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,2.3400000000,2023.0000000000,2023/04/30,2022/12/13,2023/02/02,2023/05/18,agriculture -"881994",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Wenceslau Guimarães,2.5400000000,2023.0000000000,2023/04/30,2023/01/28,2023/04/13,2023/05/18,agriculture -"881928",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,São Sebastião do Passé,6.4800000000,2023.0000000000,2023/04/30,2023/02/18,2023/04/19,2023/05/18,agriculture -"881922",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,14.5100000000,2023.0000000000,2023/04/30,2023/02/05,2023/03/31,2023/05/18,agriculture -"881917",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Catu,5.7100000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/20,2023/05/18,agriculture -"889080",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,83.2600000000,2023.0000000000,2023/03/29,2023/01/10,2023/04/26,2023/05/19,agriculture -"888979",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,350.6700000000,2023.0000000000,2023/04/12,2023/02/10,2023/05/30,2023/05/19,agriculture -"888898",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,21.0800000000,2023.0000000000,2023/03/31,2022/06/01,2023/05/07,2023/05/19,agriculture -"888833",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,19.9800000000,2023.0000000000,2023/04/27,2022/02/25,2023/03/24,2023/05/19,agriculture -"888633",{DETER-CERRADO},Cerrado,BAHIA,Caetité,6.4400000000,2023.0000000000,2023/03/09,2022/07/31,2022/12/28,2023/05/19,agriculture -"888561",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,235.8200000000,2023.0000000000,2023/04/15,2023/03/10,2023/05/22,2023/05/19,agriculture -"888558",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,84.8700000000,2023.0000000000,2023/04/29,2023/01/31,2023/05/21,2023/05/19,agriculture -"888529",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,22.5800000000,2023.0000000000,2023/04/27,2023/01/10,2023/04/02,2023/05/19,agriculture -"888528",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,17.0200000000,2023.0000000000,2023/04/18,2023/01/31,2023/04/28,2023/05/19,agriculture -"888344",{DETER-CERRADO},Cerrado,BAHIA,Catolândia,30.6000000000,2023.0000000000,2023/04/29,2023/03/10,2023/04/14,2023/05/19,agriculture -"888399",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,36.1500000000,2023.0000000000,2023/03/03,2022/06/29,2023/05/16,2023/05/19,agriculture -"888305",{DETER-CERRADO},Cerrado,BAHIA,Cristópolis,93.1700000000,2023.0000000000,2023/03/06,2022/05/22,2023/06/01,2023/05/19,agriculture -"888259",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,21.2200000000,2023.0000000000,2023/03/08,2022/10/20,2023/02/11,2023/05/19,agriculture -"888710",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,26.5300000000,2023.0000000000,2023/04/18,2022/10/18,2023/01/10,2023/05/19,agriculture -"888693",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,29.4900000000,2023.0000000000,2023/04/15,2022/05/10,2022/09/30,2023/05/19,agriculture -"888579",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,614.6100000000,2023.0000000000,2023/04/18,2022/10/01,2023/05/20,2023/05/19,agriculture -"888453",{DETER-CERRADO},Cerrado,BAHIA,Correntina,9.2900000000,2023.0000000000,2023/04/27,2023/01/24,2023/03/09,2023/05/19,agriculture -"883317",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Mata de São João,7.2500000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/11,2023/05/18,agriculture -"883281",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Rio Real,1.4900000000,2023.0000000000,2023/04/30,2023/03/03,2023/04/19,2023/05/18,agriculture -"883256",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Pojuca,14.6200000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/19,2023/05/18,agriculture -"883239",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caatiba,0.6500000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/20,2023/05/18,agriculture -"883012",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Cruz da Vitória,1.5700000000,2023.0000000000,2023/04/30,2022/09/14,2023/04/20,2023/05/18,agriculture -"882919",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,2.0800000000,2023.0000000000,2023/04/30,2023/02/05,2023/03/15,2023/05/18,agriculture -"882827",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,2.6300000000,2023.0000000000,2023/04/30,2023/01/14,2023/03/31,2023/05/18,agriculture -"882844",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabela,0.5900000000,2023.0000000000,2023/04/30,2023/02/15,2023/03/30,2023/05/18,agriculture -"882834",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Mascote,3.7700000000,2023.0000000000,2023/04/30,2022/10/05,2023/03/30,2023/05/18,agriculture -"882805",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Maracás,7.8100000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/15,2023/05/18,agriculture -"882800",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,1.5600000000,2023.0000000000,2023/04/30,2022/12/22,2023/02/20,2023/05/18,agriculture -"882697",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Inês,20.9600000000,2023.0000000000,2023/04/30,2023/01/27,2023/04/16,2023/05/18,agriculture -"882691",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,5.3500000000,2023.0000000000,2023/04/30,2023/01/29,2023/04/14,2023/05/18,agriculture -"882484",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,14.9700000000,2023.0000000000,2023/04/30,2022/10/04,2023/04/01,2023/05/18,agriculture -"888192",{DETER-CERRADO},Cerrado,BAHIA,Coribe,130.6800000000,2023.0000000000,2023/03/03,2023/01/17,2023/03/24,2023/05/19,agriculture -"888282",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,23.1000000000,2023.0000000000,2023/03/26,2023/01/25,2023/02/09,2023/05/19,agriculture -"882437",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,1.5400000000,2023.0000000000,2023/04/30,2023/02/06,2023/03/30,2023/05/18,agriculture -"888749",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,32.7900000000,2023.0000000000,2023/04/29,2022/10/02,2023/04/16,2023/05/19,agriculture -"888706",{DETER-CERRADO},Cerrado,BAHIA,Caetité,13.8700000000,2023.0000000000,2023/03/09,2022/12/11,2023/03/12,2023/05/19,agriculture -"882210",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cardeal da Silva,1.6400000000,2023.0000000000,2023/04/30,2023/01/25,2023/04/20,2023/05/18,agriculture -"882204",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itanagra,5.0500000000,2023.0000000000,2023/04/30,2023/01/29,2023/04/04,2023/05/18,agriculture -"882203",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,16.1800000000,2023.0000000000,2023/04/30,2023/01/30,2023/04/04,2023/05/18,agriculture -"882124",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,2.8100000000,2023.0000000000,2023/04/30,2023/01/01,2023/03/31,2023/05/18,agriculture -"874541",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,59.3600000000,2023.0000000000,2023/02/19,2022/12/12,2023/03/05,2023/03/26,agriculture -"881886",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,3.8200000000,2023.0000000000,2023/04/30,2023/02/12,2023/03/30,2023/05/18,agriculture -"882106",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itanagra,9.2700000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/19,2023/05/18,agriculture -"881852",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,5.6100000000,2023.0000000000,2023/04/30,2022/12/12,2023/03/30,2023/05/18,agriculture -"883376",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Vereda,0.9000000000,2023.0000000000,2023/04/30,2023/02/10,2023/03/30,2023/05/18,agriculture -"883628",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alagoinhas,1.2100000000,2023.0000000000,2023/04/30,2022/10/04,2023/02/18,2023/05/18,agriculture -"883557",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jucuruçu,3.5100000000,2023.0000000000,2023/04/30,2023/02/06,2023/03/30,2023/05/18,agriculture -"883325",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Água Fria,5.7100000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/15,2023/05/18,agriculture -"883577",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Entre Rios,2.4000000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/19,2023/05/18,agriculture -"883372",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagibá,4.5700000000,2023.0000000000,2023/04/30,2023/01/23,2023/04/16,2023/05/18,agriculture -"883244",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Macarani,12.3500000000,2023.0000000000,2023/04/30,2023/01/31,2023/04/20,2023/05/18,agriculture -"883127",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itapetinga,23.0300000000,2023.0000000000,2023/04/30,2023/01/18,2023/04/20,2023/05/18,agriculture -"883110",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caravelas,3.7400000000,2023.0000000000,2023/04/30,2022/12/20,2023/02/28,2023/05/18,agriculture -"883291",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cardeal da Silva,3.6300000000,2023.0000000000,2023/04/30,2023/01/25,2023/04/20,2023/05/18,agriculture -"888136",{DETER-CERRADO},Cerrado,BAHIA,Cotegipe,145.3000000000,2023.0000000000,2023/03/29,2022/12/12,2023/03/05,2023/05/19,agriculture -"882397",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Lajedo do Tabocal,0.3900000000,2023.0000000000,2023/04/30,2023/02/03,2023/03/09,2023/05/18,agriculture -"882422",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itiruçu,12.5500000000,2023.0000000000,2023/04/30,2022/10/04,2023/03/09,2023/05/18,agriculture -"888082",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,223.7500000000,2023.0000000000,2023/03/08,2022/06/11,2023/02/10,2023/05/19,agriculture -"888253",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,127.1300000000,2023.0000000000,2023/03/08,2023/02/14,2023/05/20,2023/05/19,agriculture -"888113",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,228.2500000000,2023.0000000000,2023/03/29,2023/02/11,2023/03/24,2023/05/19,agriculture -"887902",{DETER-CERRADO},Cerrado,BAHIA,Tanque Novo,4.5000000000,2023.0000000000,2023/03/17,2022/02/01,2022/06/07,2023/05/19,agriculture -"882402",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Pau Brasil,72.0400000000,2023.0000000000,2023/04/30,2022/08/11,2023/04/20,2023/05/18,agriculture -"887801",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,71.7000000000,2023.0000000000,2023/03/30,2022/03/26,2023/03/28,2023/05/19,agriculture -"887910",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,14.7800000000,2023.0000000000,2023/04/29,2023/03/28,2023/04/20,2023/05/19,agriculture -"887762",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,30.5100000000,2023.0000000000,2023/04/15,2022/09/14,2023/02/13,2023/05/19,agriculture -"887820",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,17.1100000000,2023.0000000000,2023/03/03,2022/10/22,2022/12/11,2023/05/19,agriculture -"887606",{DETER-CERRADO},Cerrado,BAHIA,Catolândia,45.7900000000,2023.0000000000,2023/04/29,2023/01/31,2023/05/31,2023/05/19,agriculture -"888967",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,536.2900000000,2023.0000000000,2023/04/15,2023/01/17,2023/05/19,2023/05/19,agriculture -"888988",{DETER-CERRADO},Cerrado,BAHIA,Correntina,979.6200000000,2023.0000000000,2023/03/17,2023/03/04,2023/05/03,2023/05/19,agriculture -"888873",{DETER-CERRADO},Cerrado,BAHIA,Caetité,9.3000000000,2023.0000000000,2023/03/09,2022/04/14,2023/03/25,2023/05/19,agriculture -"888941",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,318.4200000000,2023.0000000000,2023/03/30,2023/03/04,2023/05/11,2023/05/19,agriculture -"888853",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,10.8400000000,2023.0000000000,2023/03/11,2022/07/17,2022/11/13,2023/05/19,agriculture -"888776",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,50.2500000000,2023.0000000000,2023/04/29,2023/02/10,2023/04/26,2023/05/19,agriculture -"888685",{DETER-CERRADO},Cerrado,BAHIA,Brejolândia,45.4900000000,2023.0000000000,2023/04/27,2022/09/16,2023/01/01,2023/05/19,agriculture -"888648",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,11.0500000000,2023.0000000000,2023/04/29,2023/03/09,2023/03/30,2023/05/19,agriculture -"888621",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,41.5000000000,2023.0000000000,2023/03/02,2022/10/01,2023/05/18,2023/05/19,agriculture -"888023",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,21.8700000000,2023.0000000000,2023/04/24,2023/02/10,2023/04/20,2023/05/19,agriculture -"888211",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,252.1400000000,2023.0000000000,2023/04/26,2023/01/17,2023/05/29,2023/05/19,agriculture -"888947",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,723.4500000000,2023.0000000000,2023/03/29,2023/02/12,2023/06/02,2023/05/19,agriculture -"883535",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,3.2700000000,2023.0000000000,2023/04/30,2022/12/20,2023/04/15,2023/05/18,agriculture -"887959",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,254.9200000000,2023.0000000000,2023/03/11,2022/06/10,2023/03/10,2023/05/19,agriculture -"887822",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,448.2500000000,2023.0000000000,2023/04/29,2022/12/08,2023/03/30,2023/05/19,agriculture -"887478",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,162.6400000000,2023.0000000000,2023/03/06,2022/12/12,2023/03/31,2023/05/19,agriculture -"889076",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,345.8300000000,2023.0000000000,2023/03/14,2022/08/06,2023/05/30,2023/05/19,agriculture -"888867",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,348.8700000000,2023.0000000000,2023/04/29,2022/10/18,2023/02/25,2023/05/19,agriculture -"887574",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,150.1100000000,2023.0000000000,2023/04/29,2023/02/10,2023/05/05,2023/05/19,agriculture -"888959",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,343.9200000000,2023.0000000000,2023/03/11,2023/02/15,2023/05/08,2023/05/19,agriculture -"888725",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,534.4800000000,2023.0000000000,2023/04/15,2022/10/07,2023/04/15,2023/05/19,agriculture -"889067",{DETER-CERRADO},Cerrado,BAHIA,Cocos,1181.9600000000,2023.0000000000,2023/04/06,2022/10/19,2023/05/21,2023/05/19,agriculture -"881803",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Esplanada,1.4000000000,2023.0000000000,2023/04/30,2022/12/13,2023/03/05,2023/05/18,agriculture -"881804",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alcobaça,0.6700000000,2023.0000000000,2023/04/30,2023/02/03,2023/04/15,2023/05/18,agriculture -"881761",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itambé,6.9400000000,2023.0000000000,2023/04/30,2022/12/12,2023/04/01,2023/05/18,agriculture -"888287",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,125.7900000000,2023.0000000000,2023/04/18,2022/05/12,2023/03/24,2023/05/19,agriculture -"882760",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Salvador,1.0900000000,2023.0000000000,2023/04/30,2023/02/14,2023/04/13,2023/05/18,agriculture -"888751",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,2248.2600000000,2023.0000000000,2023/04/26,2022/10/01,2023/05/22,2023/05/19,agriculture -"889072",{DETER-CERRADO},Cerrado,BAHIA,Cocos,2204.0400000000,2023.0000000000,2023/04/15,2023/02/03,2023/03/30,2023/05/19,agriculture -"889008",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,617.1300000000,2023.0000000000,2023/03/11,2023/01/17,2023/06/03,2023/05/19,agriculture -"927088",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,5.6900000000,2023.0000000000,2023/03/01,2023/02/13,2023/04/14,2023/06/13,agriculture -"894727",{SAD-CAATINGA},Caatinga,BAHIA,Jussara,10.5700000000,2023.0000000000,2023/01/01,2022/05/07,2022/12/19,2023/06/07,others -"891431",{SAD-CAATINGA},Caatinga,BAHIA,Paramirim,13.2200000000,2023.0000000000,2023/01/01,2022/08/17,2023/01/28,2023/06/07,others -"891433",{SAD-CAATINGA},Caatinga,BAHIA,Licínio de Almeida,2.3100000000,2023.0000000000,2023/01/01,2022/01/18,2023/01/30,2023/06/07,others -"891571",{SAD-CAATINGA},Caatinga,BAHIA,Barra,0.9200000000,2023.0000000000,2023/01/01,2022/02/17,2023/01/31,2023/06/07,others -"891460",{SAD-CAATINGA},Caatinga,BAHIA,Riacho de Santana,11.2500000000,2023.0000000000,2023/01/01,2022/05/24,2023/01/31,2023/06/07,others -"891446",{SAD-CAATINGA},Caatinga,BAHIA,Caetité,3.6700000000,2023.0000000000,2023/01/01,2022/05/04,2023/01/30,2023/06/07,others -"891443",{SAD-CAATINGA},Caatinga,BAHIA,Urandi,3.3800000000,2023.0000000000,2023/01/01,2022/03/19,2023/01/28,2023/06/07,others -"891463",{SAD-CAATINGA},Caatinga,BAHIA,Riacho de Santana,4.2200000000,2023.0000000000,2023/01/01,2022/02/18,2023/02/13,2023/06/07,others -"891448",{SAD-CAATINGA},Caatinga,BAHIA,Caturama,16.9100000000,2023.0000000000,2023/01/01,2022/04/05,2023/01/28,2023/06/07,others -"915799",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,1.8400000000,2023.0000000000,2023/05/31,2023/01/12,2023/03/30,2023/06/12,agriculture -"915764",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Cruz Cabrália,8.9800000000,2023.0000000000,2023/05/31,2023/02/14,2023/06/05,2023/06/12,agriculture -"915478",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,3.4000000000,2023.0000000000,2023/05/31,2023/02/02,2023/06/06,2023/06/12,agriculture -"915465",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,50.9800000000,2023.0000000000,2023/05/31,2023/01/01,2023/05/19,2023/06/12,agriculture -"915502",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,6.1700000000,2023.0000000000,2023/05/31,2023/02/13,2023/04/18,2023/06/12,agriculture -"914929",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,1.2500000000,2023.0000000000,2023/05/31,2023/01/24,2023/03/30,2023/06/12,agriculture -"915129",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,0.9200000000,2023.0000000000,2023/05/31,2023/02/15,2023/06/05,2023/06/12,agriculture -"915094",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alcobaça,5.0700000000,2023.0000000000,2023/05/31,2023/03/14,2023/06/03,2023/06/12,agriculture -"915091",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,1.1000000000,2023.0000000000,2023/05/31,2023/02/06,2023/03/30,2023/06/12,agriculture -"914951",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,6.4100000000,2023.0000000000,2023/05/31,2022/08/11,2023/04/01,2023/06/12,agriculture -"914979",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nova Viçosa,0.2800000000,2023.0000000000,2023/05/31,2023/01/31,2023/02/23,2023/06/12,urban_expansion -"914859",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,2.5600000000,2023.0000000000,2023/05/31,2023/01/23,2023/05/19,2023/06/12,agriculture -"914827",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itanhém,1.0200000000,2023.0000000000,2023/05/31,2023/02/08,2023/03/30,2023/06/12,agriculture -"914777",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,25.4600000000,2023.0000000000,2023/05/31,2022/12/12,2023/04/28,2023/06/12,agriculture -"914376",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alcobaça,1.2900000000,2023.0000000000,2023/05/31,2022/09/23,2023/03/30,2023/06/12,agriculture -"914296",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jequié,2.5400000000,2023.0000000000,2023/05/31,2023/01/23,2023/04/20,2023/06/12,agriculture -"914193",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nilo Peçanha,1.1300000000,2023.0000000000,2023/05/31,2023/02/01,2023/04/18,2023/06/12,agriculture -"914100",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nova Viçosa,4.9600000000,2023.0000000000,2023/05/31,2023/01/22,2023/04/01,2023/06/12,agriculture -"914109",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,3.4600000000,2023.0000000000,2023/05/31,2023/02/18,2023/05/29,2023/06/12,agriculture -"914070",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,0.7200000000,2023.0000000000,2023/05/31,2022/12/08,2023/01/13,2023/06/12,agriculture -"914060",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Maraú,0.8100000000,2023.0000000000,2023/05/31,2023/03/15,2023/05/31,2023/06/12,agriculture -"914196",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,2.5100000000,2023.0000000000,2023/05/31,2023/01/18,2023/05/11,2023/06/12,agriculture -"914012",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Prado,1.7500000000,2023.0000000000,2023/05/31,2023/02/02,2023/04/01,2023/06/12,urban_expansion -"914032",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,26.8100000000,2023.0000000000,2023/05/31,2022/12/12,2023/04/27,2023/06/12,agriculture -"913893",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,3.1700000000,2023.0000000000,2023/05/31,2023/01/23,2023/03/30,2023/06/12,agriculture -"913942",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jandaíra,0.2300000000,2023.0000000000,2023/05/31,2023/02/08,2023/02/19,2023/06/12,agriculture -"913928",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Coração de Maria,2.2900000000,2023.0000000000,2023/05/31,2023/02/15,2023/04/20,2023/06/12,agriculture -"889062",{DETER-CERRADO},Cerrado,BAHIA,Cotegipe,680.8400000000,2023.0000000000,2023/04/24,2023/02/14,2023/05/28,2023/05/19,agriculture -"889024",{DETER-CERRADO},Cerrado,BAHIA,Correntina,519.1600000000,2023.0000000000,2023/03/14,2023/04/16,2023/05/29,2023/05/19,agriculture -"887531",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,187.0200000000,2023.0000000000,2023/04/26,2023/03/11,2023/05/24,2023/05/19,agriculture -"913895",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Cruz Cabrália,1.0600000000,2023.0000000000,2023/05/31,2022/10/06,2023/02/02,2023/06/12,agriculture -"914589",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jucuruçu,3.9900000000,2023.0000000000,2023/05/31,2023/02/10,2023/03/30,2023/06/12,agriculture -"914353",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Rio Real,1.1200000000,2023.0000000000,2023/05/31,2023/01/25,2023/04/17,2023/06/12,agriculture -"914978",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,0.8700000000,2023.0000000000,2023/05/31,2023/01/23,2023/03/30,2023/06/12,agriculture -"914640",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,0.7400000000,2023.0000000000,2023/05/31,2023/03/30,2023/04/27,2023/06/12,agriculture -"914535",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa 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-"916670",{SAD-CERRADO},Cerrado,BAHIA,Wanderley,11.2300000000,2023.0000000000,2023/01/01,2022/10/13,2023/01/31,2023/06/13,agriculture -"916477",{SAD-CERRADO},Cerrado,BAHIA,Caetité,3.3200000000,2023.0000000000,2023/01/01,2022/06/17,2023/01/31,2023/06/13,agriculture -"916307",{SAD-CERRADO},Cerrado,BAHIA,Cocos,3.1300000000,2023.0000000000,2023/01/01,2022/09/18,2023/02/05,2023/06/13,agriculture -"916277",{SAD-CERRADO},Cerrado,BAHIA,Brejolândia,3.7400000000,2023.0000000000,2023/01/01,2022/09/13,2022/10/18,2023/06/13,agriculture -"916240",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,30.7700000000,2023.0000000000,2023/01/01,2022/06/08,2023/02/13,2023/06/13,agriculture -"916195",{SAD-CERRADO},Cerrado,BAHIA,Canápolis,4.4200000000,2023.0000000000,2023/01/01,2022/06/10,2023/01/31,2023/06/13,agriculture -"916151",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,3.1500000000,2023.0000000000,2023/01/01,2022/06/10,2023/01/16,2023/06/13,agriculture -"937280",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,1.0500000000,2023.0000000000,2023/07/31,2023/04/15,2023/05/19,2023/08/03,agriculture -"936077",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,3.6800000000,2023.0000000000,2023/07/31,2023/04/15,2023/06/03,2023/08/03,agriculture -"936307",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,5.4000000000,2023.0000000000,2023/07/31,2022/07/25,2023/06/21,2023/08/03,agriculture -"935932",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,1.8100000000,2023.0000000000,2023/07/31,2023/04/13,2023/06/06,2023/08/03,agriculture -"935879",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Prado,0.8200000000,2023.0000000000,2023/07/31,2023/04/07,2023/04/28,2023/08/03,agriculture -"935746",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caravelas,3.1600000000,2023.0000000000,2023/07/31,2023/03/30,2023/05/02,2023/08/03,agriculture -"930260",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,0.2100000000,2023.0000000000,2023/05/05,2022/06/22,2023/03/10,2023/07/03,agriculture -"916098",{SAD-CERRADO},Cerrado,BAHIA,Cocos,5.5600000000,2023.0000000000,2023/01/01,2022/08/14,2023/01/16,2023/06/13,agriculture -"921521",{SAD-CERRADO},Cerrado,BAHIA,Cocos,9.4600000000,2023.0000000000,2023/01/01,2022/12/07,2023/01/31,2023/06/13,agriculture -"922290",{SAD-CERRADO},Cerrado,BAHIA,Cotegipe,6.2200000000,2023.0000000000,2023/02/01,2023/01/01,2023/02/15,2023/06/13,agriculture -"920771",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,3.7700000000,2023.0000000000,2023/02/01,2022/06/23,2023/02/13,2023/06/13,agriculture -"920866",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,13.2900000000,2023.0000000000,2023/03/01,2022/10/16,2023/03/10,2023/06/13,agriculture -"920261",{SAD-CERRADO},Cerrado,BAHIA,Catolândia,15.7700000000,2023.0000000000,2023/02/01,2022/08/02,2023/03/10,2023/06/13,agriculture -"891685",{SAD-CAATINGA},Caatinga,BAHIA,Mucugê,6.6200000000,2023.0000000000,2023/01/01,2022/07/08,2022/07/31,2023/06/07,agriculture -"891876",{SAD-CAATINGA},Caatinga,BAHIA,Manoel Vitorino,4.5300000000,2023.0000000000,2023/01/01,2022/03/12,2022/09/05,2023/06/07,agriculture -"891901",{SAD-CAATINGA},Caatinga,BAHIA,Várzea Nova,9.7100000000,2023.0000000000,2023/01/01,2022/12/08,2023/04/02,2023/06/07,agriculture -"891909",{SAD-CAATINGA},Caatinga,BAHIA,Sebastião Laranjeiras,13.3400000000,2023.0000000000,2023/01/01,2022/12/28,2023/01/28,2023/06/07,agriculture -"902527",{SAD-CAATINGA},Caatinga,BAHIA,Cocos,2.8100000000,2023.0000000000,2023/02/01,2022/08/23,2022/12/07,2023/06/12,agriculture -"902364",{SAD-CAATINGA},Caatinga,BAHIA,Seabra,1.7400000000,2023.0000000000,2023/02/01,2022/12/12,2023/02/05,2023/06/12,agriculture -"902035",{SAD-CAATINGA},Caatinga,BAHIA,Ituaçu,0.9400000000,2023.0000000000,2023/02/01,2023/01/27,2023/02/09,2023/06/12,agriculture -"891941",{SAD-CAATINGA},Caatinga,BAHIA,Itaberaba,6.9500000000,2023.0000000000,2023/01/01,2022/08/11,2023/01/27,2023/06/07,agriculture -"891928",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,12.9800000000,2023.0000000000,2023/01/01,2022/07/26,2023/04/20,2023/06/07,agriculture -"901880",{SAD-CAATINGA},Caatinga,BAHIA,Barra da Estiva,2.0900000000,2023.0000000000,2023/02/01,2022/06/08,2022/07/30,2023/06/12,agriculture -"891977",{SAD-CAATINGA},Caatinga,BAHIA,Paratinga,12.0300000000,2023.0000000000,2023/01/01,2022/04/11,2023/01/01,2023/06/07,agriculture -"892049",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,11.3900000000,2023.0000000000,2023/01/01,2022/08/06,2023/01/23,2023/06/07,agriculture -"891983",{SAD-CAATINGA},Caatinga,BAHIA,Andaraí,0.9700000000,2023.0000000000,2023/01/01,2022/01/19,2023/01/09,2023/06/07,agriculture -"901561",{SAD-CAATINGA},Caatinga,BAHIA,Jeremoabo,2.3200000000,2023.0000000000,2023/02/01,2022/11/24,2022/12/13,2023/06/12,agriculture -"892159",{SAD-CAATINGA},Caatinga,BAHIA,Piatã,12.5400000000,2023.0000000000,2023/01/01,2022/08/11,2023/01/14,2023/06/07,agriculture -"901321",{SAD-CAATINGA},Caatinga,BAHIA,Cotegipe,4.9700000000,2023.0000000000,2023/02/01,2022/06/30,2022/12/30,2023/06/12,agriculture -"901377",{SAD-CAATINGA},Caatinga,BAHIA,Jacaraci,5.2500000000,2023.0000000000,2023/02/01,2021/11/24,2022/01/13,2023/06/12,agriculture -"898673",{SAD-CAATINGA},Caatinga,BAHIA,Brotas de Macaúbas,1.9700000000,2023.0000000000,2023/01/01,2022/06/26,2022/11/15,2023/06/07,agriculture -"898610",{SAD-CAATINGA},Caatinga,BAHIA,Ribeira do Pombal,52.5000000000,2023.0000000000,2023/01/01,2022/04/14,2022/12/12,2023/06/07,agriculture -"920090",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,7.7800000000,2023.0000000000,2023/01/01,2022/10/16,2023/01/09,2023/06/13,agriculture -"920083",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,1.1100000000,2023.0000000000,2023/02/01,2022/10/16,2023/02/13,2023/06/13,agriculture -"920048",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,3.3000000000,2023.0000000000,2023/02/01,2022/10/06,2023/02/13,2023/06/13,agriculture -"920019",{SAD-CERRADO},Cerrado,BAHIA,Catolândia,7.7200000000,2023.0000000000,2023/02/01,2022/10/11,2023/03/10,2023/06/13,agriculture -"919884",{SAD-CERRADO},Cerrado,BAHIA,Correntina,14.4100000000,2023.0000000000,2023/02/01,2022/07/23,2023/02/13,2023/06/13,agriculture -"937746",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belo Campo,0.6800000000,2023.0000000000,2023/07/31,2023/02/06,2023/05/07,2023/08/03,agriculture -"937462",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belo Campo,1.5900000000,2023.0000000000,2023/07/31,2023/06/04,2023/06/17,2023/08/03,agriculture -"922762",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,5.7300000000,2023.0000000000,2023/02/01,2022/10/16,2023/02/13,2023/06/13,agriculture -"922726",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,5.9900000000,2023.0000000000,2023/01/01,2022/07/03,2023/02/13,2023/06/13,agriculture -"898527",{SAD-CAATINGA},Caatinga,BAHIA,Morpará,17.1800000000,2023.0000000000,2023/01/01,2022/07/29,2023/04/15,2023/06/07,agriculture -"898520",{SAD-CAATINGA},Caatinga,BAHIA,Souto Soares,2.8700000000,2023.0000000000,2023/01/01,2022/06/19,2022/07/30,2023/06/07,agriculture -"898506",{SAD-CAATINGA},Caatinga,BAHIA,Ruy Barbosa,19.6700000000,2023.0000000000,2023/01/01,2022/05/19,2023/04/19,2023/06/07,agriculture -"898491",{SAD-CAATINGA},Caatinga,BAHIA,Morro do Chapéu,85.2500000000,2023.0000000000,2023/01/01,2022/06/28,2022/12/31,2023/06/07,agriculture -"920728",{SAD-CERRADO},Cerrado,BAHIA,Barreiras,6.0000000000,2023.0000000000,2023/03/01,2022/02/28,2023/03/10,2023/06/13,agriculture -"898150",{SAD-CAATINGA},Caatinga,BAHIA,Bonito,5.9400000000,2023.0000000000,2023/01/01,2022/01/13,2022/05/19,2023/06/07,agriculture -"898201",{SAD-CAATINGA},Caatinga,BAHIA,Brotas de Macaúbas,3.1500000000,2023.0000000000,2023/01/01,2022/06/10,2022/09/14,2023/06/07,agriculture -"916590",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,1.3500000000,2023.0000000000,2023/01/01,2022/02/03,2023/01/29,2023/06/13,agriculture -"916508",{SAD-CERRADO},Cerrado,BAHIA,Santana,2.7100000000,2023.0000000000,2023/01/01,2022/07/05,2023/01/31,2023/06/13,agriculture -"898389",{SAD-CAATINGA},Caatinga,BAHIA,Brotas de Macaúbas,4.4500000000,2023.0000000000,2023/01/01,2022/12/12,2023/01/27,2023/06/07,agriculture -"898228",{SAD-CAATINGA},Caatinga,BAHIA,Itapicuru,29.4200000000,2023.0000000000,2023/01/01,2022/05/18,2023/07/20,2023/06/07,agriculture -"897786",{SAD-CAATINGA},Caatinga,BAHIA,Jeremoabo,71.6500000000,2023.0000000000,2023/01/01,2022/03/19,2023/01/09,2023/06/07,agriculture -"897629",{SAD-CAATINGA},Caatinga,BAHIA,Angical,21.7300000000,2023.0000000000,2023/01/01,2022/05/10,2022/08/14,2023/06/07,agriculture -"937163",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabela,7.3100000000,2023.0000000000,2023/07/31,2023/05/03,2023/06/14,2023/08/03,agriculture -"923654",{SAD-CERRADO},Cerrado,BAHIA,Cocos,20.5500000000,2023.0000000000,2023/01/01,2022/10/16,2023/03/30,2023/06/13,agriculture -"925684",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,149.2900000000,2023.0000000000,2023/02/01,2022/10/11,2023/06/28,2023/06/13,agriculture -"929692",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,13.6000000000,2023.0000000000,2023/05/05,2022/06/06,2023/01/31,2023/07/03,agriculture -"921101",{SAD-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,12.6100000000,2023.0000000000,2023/02/01,2022/06/28,2023/02/13,2023/06/13,agriculture -"925563",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,2.4400000000,2023.0000000000,2023/02/01,2022/10/16,2023/02/13,2023/06/13,agriculture -"924478",{SAD-CERRADO},Cerrado,BAHIA,Mansidão,36.2700000000,2023.0000000000,2023/01/01,2022/07/05,2023/02/10,2023/06/13,agriculture -"922927",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,4.0200000000,2023.0000000000,2023/02/01,2022/10/06,2023/03/10,2023/06/13,agriculture -"898153",{SAD-CAATINGA},Caatinga,BAHIA,Santa Rita de Cássia,1.2200000000,2023.0000000000,2023/01/01,2022/07/08,2022/10/20,2023/06/07,agriculture -"898186",{SAD-CAATINGA},Caatinga,BAHIA,Euclides da Cunha,6.2300000000,2023.0000000000,2023/01/01,2022/04/13,2022/05/13,2023/06/07,agriculture -"898183",{SAD-CAATINGA},Caatinga,BAHIA,Ourolândia,4.6100000000,2023.0000000000,2023/01/01,2022/01/13,2022/09/21,2023/06/07,agriculture -"898023",{SAD-CAATINGA},Caatinga,BAHIA,América Dourada,74.4900000000,2023.0000000000,2023/01/01,2022/10/08,2022/12/19,2023/06/07,agriculture -"897999",{SAD-CAATINGA},Caatinga,BAHIA,Euclides da Cunha,26.8500000000,2023.0000000000,2023/01/01,2022/06/07,2022/08/09,2023/06/07,agriculture -"918715",{SAD-CERRADO},Cerrado,BAHIA,Correntina,109.8000000000,2023.0000000000,2023/01/01,2022/03/30,2023/02/13,2023/06/13,agriculture -"916998",{SAD-CERRADO},Cerrado,BAHIA,Barreiras,16.1100000000,2023.0000000000,2023/01/01,2022/06/08,2023/02/13,2023/06/13,agriculture -"916196",{SAD-CERRADO},Cerrado,BAHIA,Correntina,2.8700000000,2023.0000000000,2023/01/01,2022/10/03,2023/01/01,2023/06/13,agriculture -"931440",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,1147.1600000000,2023.0000000000,2023/05/08,2023/03/24,2023/07/04,2023/07/03,agriculture -"923414",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,4.9400000000,2023.0000000000,2023/02/01,2022/11/12,2023/02/25,2023/06/13,agriculture -"938584",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,0.4600000000,2023.0000000000,2023/07/31,2023/04/20,2023/05/15,2023/08/03,agriculture -"938354",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,20.2200000000,2023.0000000000,2023/07/31,2023/03/31,2023/06/04,2023/08/03,agriculture -"937289",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Eunápolis,22.9000000000,2023.0000000000,2023/07/31,2023/05/19,2023/07/09,2023/08/03,agriculture -"936950",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,0.9700000000,2023.0000000000,2023/07/31,2023/04/20,2023/06/14,2023/08/03,urban_expansion -"936620",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,2.8600000000,2023.0000000000,2023/07/31,2023/04/18,2023/06/04,2023/08/03,agriculture 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-"968635",{SAD-CERRADO},Cerrado,BAHIA,Condeúba,2.1700000000,2023.0000000000,2023/07/01,2022/08/16,2023/07/27,2023/09/13,agriculture -"969621",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,4.2000000000,2023.0000000000,2023/05/01,2023/02/13,2023/05/29,2023/09/13,agriculture -"962170",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,11.8300000000,2023.0000000000,2023/05/01,2023/02/13,2023/06/28,2023/09/13,agriculture -"968404",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,38.5800000000,2023.0000000000,2023/07/01,2022/07/20,2023/07/30,2023/09/13,agriculture -"973898",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,11.1400000000,2023.0000000000,2023/05/01,2022/06/03,2023/06/08,2023/09/13,agriculture -"968348",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,10.8900000000,2023.0000000000,2023/07/01,2023/01/09,2023/07/30,2023/09/13,agriculture -"969528",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,2.9900000000,2023.0000000000,2023/06/01,2023/05/04,2023/09/06,2023/09/13,agriculture -"970582",{SAD-CERRADO},Cerrado,BAHIA,Barreiras,13.3800000000,2023.0000000000,2023/07/01,2023/06/08,2023/07/18,2023/09/13,agriculture -"970528",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,14.2500000000,2023.0000000000,2023/06/01,2022/09/28,2023/01/31,2023/09/13,agriculture -"970307",{SAD-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,2.6000000000,2023.0000000000,2023/05/01,2023/05/11,2023/05/31,2023/09/13,agriculture -"969460",{SAD-CERRADO},Cerrado,BAHIA,Catolândia,7.4200000000,2023.0000000000,2023/06/01,2023/05/09,2023/05/29,2023/09/13,agriculture -"974301",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,276.6300000000,2023.0000000000,2023/07/01,2023/02/08,2023/07/03,2023/09/13,agriculture -"968598",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,14.6200000000,2023.0000000000,2023/07/01,2023/02/13,2023/07/28,2023/09/13,agriculture -"966712",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,4.5200000000,2023.0000000000,2023/06/01,2023/01/09,2023/06/28,2023/09/13,agriculture -"973256",{SAD-CERRADO},Cerrado,BAHIA,Barreiras,175.7800000000,2023.0000000000,2023/05/01,2023/02/13,2023/09/21,2023/09/13,agriculture -"969424",{SAD-CERRADO},Cerrado,BAHIA,Barreiras,65.7700000000,2023.0000000000,2023/07/01,2023/02/13,2023/07/28,2023/09/13,agriculture -"969397",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,14.5100000000,2023.0000000000,2023/07/01,2022/07/15,2023/07/05,2023/09/13,agriculture -"968176",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,6.1700000000,2023.0000000000,2023/07/01,2022/08/17,2023/07/28,2023/09/13,agriculture -"963316",{SAD-CERRADO},Cerrado,BAHIA,Coribe,6.1300000000,2023.0000000000,2023/06/01,2023/01/31,2023/06/30,2023/09/13,agriculture -"973757",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,0.4700000000,2023.0000000000,2023/06/01,2023/01/31,2023/06/30,2023/09/13,agriculture -"973621",{SAD-CERRADO},Cerrado,BAHIA,Jacaraci,2.2300000000,2023.0000000000,2023/06/01,2023/01/23,2023/06/30,2023/09/13,others -"973383",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,3.0200000000,2023.0000000000,2023/07/01,2023/01/24,2023/07/28,2023/09/13,agriculture -"967788",{SAD-CERRADO},Caatinga,BAHIA,Coribe,10.9800000000,2023.0000000000,2023/06/01,2023/01/31,2023/06/30,2023/09/13,agriculture -"967756",{SAD-CERRADO},Cerrado,BAHIA,Angical,1.4800000000,2023.0000000000,2023/07/01,2023/04/09,2023/07/30,2023/09/13,agriculture -"971089",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,8.8100000000,2023.0000000000,2023/06/01,2023/02/13,2023/06/28,2023/09/13,others -"968935",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,26.3800000000,2023.0000000000,2023/05/01,2023/01/31,2023/09/13,2023/09/13,agriculture -"971000",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,40.4900000000,2023.0000000000,2023/06/01,2023/01/01,2023/07/30,2023/09/13,agriculture -"968331",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,7.6400000000,2023.0000000000,2023/06/01,2023/02/13,2023/06/30,2023/09/13,agriculture -"972683",{SAD-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,25.5300000000,2023.0000000000,2023/05/01,2023/04/26,2023/05/31,2023/09/13,agriculture -"967676",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,50.7100000000,2023.0000000000,2023/07/01,2023/05/14,2023/07/28,2023/09/13,agriculture -"969782",{SAD-CERRADO},Cerrado,BAHIA,Licínio de Almeida,4.0200000000,2023.0000000000,2023/05/01,2023/04/16,2023/05/11,2023/09/13,agriculture -"967366",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,1.7200000000,2023.0000000000,2023/07/01,2023/04/24,2023/07/30,2023/09/13,agriculture -"970416",{SAD-CERRADO},Cerrado,BAHIA,Cordeiros,2.5100000000,2023.0000000000,2023/07/01,2023/01/23,2023/07/17,2023/09/13,others -"967270",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,3.0400000000,2023.0000000000,2023/06/01,2023/02/13,2023/06/30,2023/09/13,agriculture -"967250",{SAD-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,6.5900000000,2023.0000000000,2023/06/01,2023/01/31,2023/06/30,2023/09/13,agriculture -"967193",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,5.5400000000,2023.0000000000,2023/06/01,2023/01/09,2023/06/28,2023/09/13,agriculture -"970332",{SAD-CERRADO},Cerrado,BAHIA,Cocos,0.5400000000,2023.0000000000,2023/06/01,2022/10/06,2023/06/05,2023/09/13,others -"967791",{SAD-CERRADO},Cerrado,BAHIA,Cristópolis,1.9200000000,2023.0000000000,2023/07/01,2023/02/13,2023/07/30,2023/09/13,agriculture -"975187",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,4.2700000000,2023.0000000000,2023/07/01,2022/09/16,2023/07/28,2023/09/13,agriculture -"965787",{SAD-CERRADO},Cerrado,BAHIA,Cristópolis,2.6000000000,2023.0000000000,2023/05/01,2023/04/01,2023/05/31,2023/09/13,agriculture -"952484",{DETER-CERRADO},Cerrado,BAHIA,Cocos,20.5400000000,2023.0000000000,2023/07/10,2023/05/08,2023/06/29,2023/09/04,agriculture -"972486",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,1.9900000000,2023.0000000000,2023/06/01,2023/01/24,2023/06/28,2023/09/13,agriculture -"972463",{SAD-CERRADO},Cerrado,BAHIA,Correntina,19.1600000000,2023.0000000000,2023/07/01,2023/01/19,2023/07/30,2023/09/13,agriculture -"971310",{SAD-CERRADO},Cerrado,BAHIA,Cotegipe,2.4800000000,2023.0000000000,2023/06/01,2022/10/03,2023/06/30,2023/09/13,agriculture -"972101",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,6.4000000000,2023.0000000000,2023/06/01,2023/02/13,2023/07/28,2023/09/13,agriculture -"970927",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,407.8100000000,2023.0000000000,2023/07/01,2022/10/06,2023/07/28,2023/09/13,agriculture -"966818",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,3.9800000000,2023.0000000000,2023/07/01,2022/07/03,2023/07/18,2023/09/13,agriculture -"966738",{SAD-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,3.8200000000,2023.0000000000,2023/07/01,2023/03/25,2023/07/30,2023/09/13,agriculture -"966747",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,2.8600000000,2023.0000000000,2023/07/01,2023/01/31,2023/07/30,2023/09/13,agriculture -"966695",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,2.1400000000,2023.0000000000,2023/07/01,2023/05/06,2023/07/30,2023/09/13,agriculture -"966487",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,1.1800000000,2023.0000000000,2023/06/01,2022/08/02,2023/06/28,2023/09/13,agriculture -"966484",{SAD-CERRADO},Cerrado,BAHIA,Correntina,9.0200000000,2023.0000000000,2023/07/01,2023/05/06,2023/07/30,2023/09/13,agriculture -"971448",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,2.6300000000,2023.0000000000,2023/07/01,2023/01/09,2023/07/28,2023/09/13,agriculture -"971455",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,20.3000000000,2023.0000000000,2023/06/01,2023/01/09,2023/07/28,2023/09/13,agriculture -"968500",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,16.2300000000,2023.0000000000,2023/07/01,2023/03/30,2023/07/13,2023/09/13,agriculture -"970756",{SAD-CERRADO},Cerrado,BAHIA,Correntina,20.9900000000,2023.0000000000,2023/05/01,2023/03/10,2023/07/28,2023/09/13,agriculture -"917960",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,146.0100000000,2023.0000000000,2023/04/01,2022/09/16,2023/05/09,2023/06/13,agriculture -"970499",{SAD-CERRADO},Cerrado,BAHIA,Riacho de Santana,4.0200000000,2023.0000000000,2023/06/01,2023/01/16,2023/06/15,2023/09/13,agriculture -"976380",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,1975.7300000000,2023.0000000000,2023/07/01,2022/10/11,2023/08/17,2023/09/13,agriculture -"967875",{SAD-CERRADO},Cerrado,BAHIA,Serra Dourada,21.0700000000,2023.0000000000,2023/06/01,2022/07/10,2023/06/05,2023/09/13,agriculture -"963503",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,9.7600000000,2023.0000000000,2023/05/01,2023/04/26,2023/06/30,2023/09/13,agriculture -"970384",{SAD-CERRADO},Cerrado,BAHIA,Caetité,9.0000000000,2023.0000000000,2023/06/01,2023/01/16,2023/06/05,2023/09/13,agriculture -"970282",{SAD-CERRADO},Cerrado,BAHIA,Cocos,15.1400000000,2023.0000000000,2023/05/01,2023/04/01,2023/05/31,2023/09/13,agriculture -"970259",{SAD-CERRADO},Cerrado,BAHIA,Brejolândia,0.9600000000,2023.0000000000,2023/05/01,2023/05/31,2023/09/08,2023/09/13,agriculture -"970203",{SAD-CERRADO},Cerrado,BAHIA,Tanque Novo,5.6500000000,2023.0000000000,2023/05/01,2022/04/01,2023/05/31,2023/09/13,agriculture -"963336",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,7.2600000000,2023.0000000000,2023/05/01,2023/01/31,2023/06/30,2023/09/13,roads -"970202",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,4.7500000000,2023.0000000000,2023/05/01,2023/01/29,2023/05/29,2023/09/13,agriculture -"962542",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,5.3000000000,2023.0000000000,2023/05/01,2023/04/29,2023/05/29,2023/09/13,agriculture -"962354",{SAD-CERRADO},Cerrado,BAHIA,Correntina,3.5300000000,2023.0000000000,2023/05/01,2023/05/09,2023/05/31,2023/09/13,agriculture -"965098",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,13.4000000000,2023.0000000000,2023/06/01,2022/05/09,2023/06/23,2023/09/13,agriculture -"920558",{SAD-CERRADO},Cerrado,BAHIA,Caetité,8.7600000000,2023.0000000000,2023/01/01,2022/04/01,2023/04/26,2023/06/13,agriculture -"922127",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,4.9100000000,2023.0000000000,2023/01/01,2022/10/11,2023/02/13,2023/06/13,agriculture -"891577",{SAD-CAATINGA},Caatinga,BAHIA,Correntina,7.0700000000,2023.0000000000,2023/01/01,2021/06/23,2021/07/03,2023/06/07,agriculture -"966051",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,2.5900000000,2023.0000000000,2023/05/01,2023/03/10,2023/05/29,2023/09/13,agriculture -"968440",{SAD-CERRADO},Cerrado,BAHIA,Correntina,7.6000000000,2023.0000000000,2023/07/01,2023/05/19,2023/07/28,2023/09/13,agriculture -"968419",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,4.4900000000,2023.0000000000,2023/07/01,2023/01/31,2023/07/30,2023/09/13,agriculture -"966895",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,19.1000000000,2023.0000000000,2023/07/01,2023/04/14,2023/07/18,2023/09/13,agriculture 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Cássia,7.7700000000,2023.0000000000,2023/10/01,2023/04/29,2023/10/21,2023/12/18,agriculture -"1154567",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,6.1500000000,2023.0000000000,2023/10/06,2023/07/26,2023/07/30,2023/12/19,agriculture -"1154490",{DETER-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,71.9700000000,2023.0000000000,2023/10/09,2023/09/30,2023/11/28,2023/12/19,agriculture -"975240",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,3.7000000000,2023.0000000000,2023/06/01,2023/02/13,2023/08/02,2023/09/13,agriculture -"969242",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,21.6100000000,2023.0000000000,2023/06/01,2021/05/09,2021/11/25,2023/09/13,agriculture -"967896",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,15.2200000000,2023.0000000000,2023/05/01,2023/02/13,2023/06/28,2023/09/13,agriculture -"970654",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,7.8500000000,2023.0000000000,2023/06/01,2023/06/18,2023/06/23,2023/09/13,agriculture -"973764",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,23.0400000000,2023.0000000000,2023/06/01,2022/03/30,2022/04/29,2023/09/13,agriculture -"1155383",{DETER-CERRADO},Cerrado,BAHIA,Cristópolis,8.8900000000,2023.0000000000,2023/10/06,2023/08/02,2023/10/29,2023/12/19,agriculture -"1155310",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,359.4400000000,2023.0000000000,2023/10/08,2023/08/17,2023/11/26,2023/12/19,agriculture -"1154757",{DETER-CERRADO},Cerrado,BAHIA,Pindaí,2.3500000000,2023.0000000000,2023/10/06,2022/10/19,2022/12/28,2023/12/19,agriculture -"967934",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,1.3200000000,2023.0000000000,2023/06/01,2023/04/14,2023/06/28,2023/09/13,agriculture -"972779",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,5.4900000000,2023.0000000000,2023/07/01,2020/05/24,2021/05/04,2023/09/13,agriculture -"966444",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,14.9600000000,2023.0000000000,2023/06/01,2023/02/13,2023/06/28,2023/09/13,agriculture -"962478",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,1.3500000000,2023.0000000000,2023/06/01,2023/01/24,2023/06/28,2023/09/13,others -"1154544",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,2.3600000000,2023.0000000000,2023/10/02,2023/04/13,2023/09/17,2023/12/19,agriculture -"1073277",{SAD-CAATINGA},Caatinga,BAHIA,Boa Vista do Tupim,14.5400000000,2023.0000000000,2023/09/01,2023/02/23,2023/09/27,2023/11/09,agriculture -"1154736",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,14.0000000000,2023.0000000000,2023/10/06,2023/09/07,2023/10/16,2023/12/19,agriculture -"1073280",{SAD-CAATINGA},Caatinga,BAHIA,Mucugê,15.4600000000,2023.0000000000,2023/08/01,2023/01/26,2023/08/24,2023/11/09,agriculture -"1143595",{SAD-CERRADO},Cerrado,BAHIA,Cocos,1.9400000000,2023.0000000000,2023/10/01,2023/04/26,2023/10/23,2023/12/18,agriculture -"1141023",{SAD-CERRADO},Cerrado,BAHIA,Cocos,12.2400000000,2023.0000000000,2023/10/01,2023/08/02,2023/10/31,2023/12/18,agriculture 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Cássia,91.0300000000,2023.0000000000,2023/06/03,2022/10/07,2023/09/07,2023/09/04,agriculture -"1060242",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,4.0400000000,2023.0000000000,2023/09/30,2023/04/20,2023/07/14,2023/10/05,agriculture -"1059965",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,3.5400000000,2023.0000000000,2023/09/30,2023/04/20,2023/10/13,2023/10/05,agriculture -"1059973",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Aporá,3.8200000000,2023.0000000000,2023/09/30,2023/04/26,2023/07/22,2023/10/05,agriculture -"1059986",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,2.5100000000,2023.0000000000,2023/09/30,2023/06/05,2023/08/03,2023/10/05,agriculture -"1059899",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alagoinhas,9.5100000000,2023.0000000000,2023/09/30,2023/04/17,2023/09/28,2023/10/05,agriculture -"1059918",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,1.2700000000,2023.0000000000,2023/09/30,2023/06/04,2023/11/24,2023/10/05,agriculture 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Neves,14.8700000000,2024.0000000000,2024/03/01,2024/01/10,2024/03/10,2024/05/01,agriculture -"1231957",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,23.1300000000,2024.0000000000,2024/03/21,2023/12/25,2024/03/17,2024/05/01,agriculture -"1013504",{PRODES-CERR},Cerrado,BAHIA,Paratinga,2.7800000000,2021.0000000000,2021/08/15,2020/04/25,2020/12/03,2023/09/18,agriculture -"1013441",{PRODES-CERR},Cerrado,BAHIA,Riacho de Santana,1.3500000000,2021.0000000000,2021/08/15,2021/01/18,2021/05/27,2023/09/18,agriculture -"1013444",{PRODES-CERR},Cerrado,BAHIA,Riacho de Santana,1.7000000000,2021.0000000000,2021/08/15,2020/06/28,2020/11/13,2023/09/18,agriculture -"1013438",{PRODES-CERR},Cerrado,BAHIA,Igaporã,1.9300000000,2021.0000000000,2021/08/15,2021/05/11,2021/05/27,2023/09/18,others -"1232136",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,11.4200000000,2024.0000000000,2024/03/14,2024/02/05,2024/03/25,2024/05/01,agriculture -"1206640",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,1116.2200000000,2024.0000000000,2024/01/16,2023/12/27,2024/03/09,2024/02/27,agriculture -"1232045",{DETER-CERRADO},Cerrado,BAHIA,Coribe,29.3600000000,2024.0000000000,2024/03/27,2023/11/14,2024/04/30,2024/05/01,agriculture -"1232016",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,360.2100000000,2024.0000000000,2024/03/29,2024/01/12,2024/04/28,2024/05/01,agriculture -"1215943",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,1.8600000000,2024.0000000000,2024/02/29,2023/08/06,2023/10/25,2024/03/13,agriculture -"1216994",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,478.9000000000,2024.0000000000,2024/01/31,2023/05/20,2024/01/13,2024/03/13,agriculture -"1217206",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jandaíra,3.9600000000,2024.0000000000,2024/01/31,2023/07/22,2023/11/12,2024/03/13,agriculture -"1231208",{SAD-CERRADO},Cerrado,BAHIA,Cristópolis,23.3000000000,2024.0000000000,2024/01/01,2023/11/12,2024/02/05,2024/04/30,agriculture 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Atlântica,BAHIA,Mascote,5.8800000000,2024.0000000000,2024/02/29,2023/09/10,2023/12/30,2024/03/13,agriculture -"1213107",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagi,2.5900000000,2024.0000000000,2024/02/29,2023/08/10,2023/12/27,2024/03/13,agriculture -"1211227",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Eunápolis,2.8900000000,2024.0000000000,2024/01/31,2023/08/25,2023/11/12,2024/03/13,agriculture -"1229959",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,55.0900000000,2024.0000000000,2024/01/01,2023/06/08,2024/02/13,2024/04/30,agriculture -"1229892",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,28.4000000000,2024.0000000000,2024/01/01,2023/09/06,2023/12/15,2024/04/30,agriculture -"1224796",{SAD-CAATINGA},Caatinga,BAHIA,Angical,7.5600000000,2024.0000000000,2024/01/01,2023/08/02,2023/11/10,2024/04/30,agriculture -"1223921",{SAD-CAATINGA},Caatinga,BAHIA,Santa Rita de Cássia,3.2500000000,2024.0000000000,2024/02/01,2023/04/20,2023/05/20,2024/04/30,agriculture 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-"1211012",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Entre Rios,57.5900000000,2024.0000000000,2024/01/31,2023/07/12,2023/12/03,2024/03/13,agriculture -"1211322",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Valença,3.6400000000,2024.0000000000,2024/01/31,2023/11/16,2023/12/25,2024/03/13,agriculture -"1211116",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,1.5500000000,2024.0000000000,2024/02/29,2023/11/10,2023/12/09,2024/03/13,agriculture -"1217415",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Salvador,0.3600000000,2024.0000000000,2024/01/31,2023/08/19,2023/12/25,2024/03/13,urban_expansion -"1212774",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Salvador,3.5000000000,2024.0000000000,2024/02/29,2023/08/19,2024/01/10,2024/03/13,urban_expansion -"1215005",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Candeias,7.1600000000,2024.0000000000,2024/02/29,2023/08/19,2023/12/17,2024/03/13,agriculture -"1215098",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Esplanada,15.0200000000,2024.0000000000,2024/01/31,2023/07/10,2024/03/13,2024/03/13,agriculture -"1213922",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,6.4300000000,2024.0000000000,2024/02/29,2023/08/06,2024/03/21,2024/03/13,agriculture -"1212570",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,1.6100000000,2024.0000000000,2024/01/31,2023/08/11,2023/11/27,2024/03/13,agriculture -"1210647",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagibá,5.0000000000,2024.0000000000,2024/01/31,2023/10/24,2023/12/30,2024/03/13,agriculture -"1212068",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,3.3400000000,2024.0000000000,2024/02/29,2023/09/10,2023/12/05,2024/03/13,agriculture -"1013449",{PRODES-CERR},Cerrado,BAHIA,Tanque Novo,2.9200000000,2021.0000000000,2021/08/15,2021/05/21,2021/10/30,2023/09/18,agriculture -"1232434",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,305.7900000000,2024.0000000000,2024/03/29,2023/12/08,2024/05/01,2024/05/01,agriculture -"1232248",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,654.3000000000,2024.0000000000,2024/03/01,2024/01/12,2024/05/01,2024/05/01,agriculture -"1212202",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camamu,7.2900000000,2024.0000000000,2024/01/31,2023/08/03,2023/12/04,2024/03/13,agriculture -"1215684",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itacaré,1.2400000000,2024.0000000000,2024/01/31,2023/07/14,2024/03/18,2024/03/13,agriculture -"1210504",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,3.1600000000,2024.0000000000,2024/02/29,2023/10/15,2024/01/30,2024/03/13,agriculture -"1210456",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nilo Peçanha,2.9900000000,2024.0000000000,2024/01/31,2023/09/10,2023/11/10,2024/03/13,aquaculture -"1234653",{DETER-CERRADO},Cerrado,BAHIA,Correntina,10.8500000000,2024.0000000000,2024/04/25,2024/01/13,2024/02/26,2024/06/04,agriculture -"1240631",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Pau Brasil,1.4900000000,2024.0000000000,2024/04/30,2024/01/13,2024/01/30,2024/06/04,agriculture -"1233846",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,8.6300000000,2024.0000000000,2024/04/22,2024/02/14,2024/03/24,2024/06/04,agriculture -"1233791",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,5.8100000000,2024.0000000000,2024/04/22,2024/03/09,2024/05/18,2024/06/04,agriculture -"1233746",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,180.5500000000,2024.0000000000,2024/04/13,2024/01/17,2024/03/15,2024/06/04,agriculture -"1233695",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,81.9600000000,2024.0000000000,2024/04/13,2024/03/25,2024/05/01,2024/06/04,agriculture -"1234614",{DETER-CERRADO},Cerrado,BAHIA,Coribe,13.5600000000,2024.0000000000,2024/04/25,2024/03/28,2024/04/29,2024/06/04,agriculture -"1234521",{DETER-CERRADO},Cerrado,BAHIA,Cotegipe,42.6800000000,2024.0000000000,2024/04/22,2024/02/04,2024/04/28,2024/06/04,agriculture 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-"1234420",{DETER-CERRADO},Cerrado,BAHIA,Cocos,21.5900000000,2024.0000000000,2024/04/25,2024/01/17,2024/04/29,2024/06/04,agriculture -"1234407",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,14.9900000000,2024.0000000000,2024/04/10,2024/03/27,2024/04/28,2024/06/04,agriculture -"1234397",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,57.3100000000,2024.0000000000,2024/04/30,2024/03/06,2024/04/29,2024/06/04,agriculture -"1232447",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,3.9100000000,2024.0000000000,2024/03/07,2024/01/12,2024/02/25,2024/05/01,agriculture -"1232339",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,8.3300000000,2024.0000000000,2024/03/19,2023/12/05,2024/03/03,2024/05/01,agriculture -"1234302",{DETER-CERRADO},Cerrado,BAHIA,Correntina,52.3900000000,2024.0000000000,2024/04/16,2024/02/06,2024/05/04,2024/06/04,agriculture -"1234280",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,149.6600000000,2024.0000000000,2024/04/01,2024/02/29,2024/03/25,2024/06/04,agriculture 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-"1220742",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,199.7000000000,2024.0000000000,2024/02/13,2023/12/10,2024/03/10,2024/03/20,agriculture -"1234015",{DETER-CERRADO},Cerrado,BAHIA,Cocos,11.8400000000,2024.0000000000,2024/04/25,2024/04/09,2024/04/25,2024/06/04,agriculture -"1233979",{DETER-CERRADO},Cerrado,BAHIA,Correntina,6.3700000000,2024.0000000000,2024/04/25,2024/04/14,2024/05/10,2024/06/04,agriculture -"1232680",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,10.3200000000,2024.0000000000,2024/03/27,2024/02/06,2024/04/29,2024/05/01,agriculture -"1234133",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,30.9700000000,2024.0000000000,2024/04/13,2023/11/29,2024/04/28,2024/06/04,agriculture -"1233982",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,77.7000000000,2024.0000000000,2024/04/15,2024/03/30,2024/04/21,2024/06/04,agriculture -"1233978",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,14.7800000000,2024.0000000000,2024/04/30,2024/02/27,2024/05/09,2024/06/04,agriculture -"1233947",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,3185.8300000000,2024.0000000000,2024/04/08,2024/02/25,2024/05/04,2024/06/04,agriculture -"1233836",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,386.2400000000,2024.0000000000,2024/04/08,2024/01/16,2024/04/14,2024/06/04,agriculture -"1233710",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,847.9400000000,2024.0000000000,2024/04/29,2024/03/03,2024/05/30,2024/06/04,agriculture -"1233654",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,64.6300000000,2024.0000000000,2024/04/13,2023/12/29,2024/04/29,2024/06/04,agriculture -"1233924",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,14.1000000000,2024.0000000000,2024/04/30,2024/03/10,2024/04/21,2024/06/04,agriculture -"1232570",{DETER-CERRADO},Cerrado,BAHIA,Catolândia,19.7500000000,2024.0000000000,2024/03/07,2024/01/16,2024/03/29,2024/05/01,agriculture -"1232334",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,89.5700000000,2024.0000000000,2024/03/06,2023/12/26,2024/05/04,2024/05/01,agriculture -"1232052",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,73.0800000000,2024.0000000000,2024/03/01,2024/02/05,2024/05/08,2024/05/01,agriculture -"1232429",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,57.0600000000,2024.0000000000,2024/03/14,2024/02/29,2024/04/13,2024/05/01,agriculture -"1232345",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,9.1200000000,2024.0000000000,2024/03/11,2023/12/17,2024/03/18,2024/05/01,agriculture -"1232335",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,10.4400000000,2024.0000000000,2024/03/19,2023/12/23,2024/03/25,2024/05/01,agriculture -"1228731",{SAD-CAATINGA},Caatinga,BAHIA,Angical,10.2600000000,2024.0000000000,2024/02/01,2022/12/08,2023/01/10,2024/04/30,agriculture -"1227448",{SAD-CAATINGA},Caatinga,BAHIA,Serra Dourada,1.2600000000,2024.0000000000,2024/02/01,2022/06/08,2022/07/21,2024/04/30,agriculture -"1228474",{SAD-CAATINGA},Caatinga,BAHIA,Wanderley,3.9900000000,2024.0000000000,2024/01/01,2023/05/07,2023/12/08,2024/04/30,agriculture 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-"1227006",{SAD-CAATINGA},Caatinga,BAHIA,Itaberaba,54.2600000000,2024.0000000000,2024/01/01,2023/04/19,2024/02/17,2024/04/30,agriculture -"1226996",{SAD-CAATINGA},Caatinga,BAHIA,Barra da Estiva,7.1100000000,2024.0000000000,2024/01/01,2023/08/21,2024/02/01,2024/04/30,agriculture -"1226974",{SAD-CAATINGA},Caatinga,BAHIA,Várzea da Roça,2.3700000000,2024.0000000000,2024/01/01,2023/04/29,2024/01/08,2024/04/30,agriculture From e64cdd031352ca64cc38d1fe0ab5ba8e18aa29a2 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 28 Sep 2024 16:25:24 -0300 Subject: [PATCH 25/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 4b8aefd..bb538cd 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -45,10 +45,15 @@ Como o desmatamento na Bahia impacta nas taxas de emissão de CO2 e sua relaçã 2. **[Pergunta comparativa]** - Municípios com maiores dados 3. **[Pergunta relacional]** - Existe correlação entre os três dados e a pandemia 4. **[Pergunta exploratória]** - Quais insights podem ser extraídos a partir dos padrões identificados nos dados? + Como o desmatamento na Bahia impacta as taxas de emissão de CO₂ e qual sua relação com a temperatura dos oceanos? + Qual a taxa de desmatamento nos biomas/municípios da Bahia e como ela evoluiu no período de 2019 a 2022? + Existe uma relação entre as áreas desmatadas e o aumento da temperatura da água do mar nas regiões costeiras afetadas? + Quais regiões da Bahia apresentam as maiores emissões de carbono derivadas do desmatamento e como isso se reflete nas mudanças de temperatura do oceano? + --- ## Ferramentas Utilizadas From c94c308260c53c8eb727a6f7cc225c245f006615 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 30 Sep 2024 10:14:31 -0300 Subject: [PATCH 26/90] Add files via upload --- dados/SEEG (1).csv | 32 ++++++++++++++++++++++++++++++++ 1 file changed, 32 insertions(+) create mode 100644 dados/SEEG (1).csv diff --git a/dados/SEEG (1).csv b/dados/SEEG (1).csv new file mode 100644 index 0000000..63447ff --- /dev/null +++ b/dados/SEEG (1).csv @@ -0,0 +1,32 @@ +"Categoria","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022" +"São Francisco do Conde 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a/dados/mapbiomas.csv b/dados/mapbiomas.csv deleted file mode 100644 index d3f5a12..0000000 --- a/dados/mapbiomas.csv +++ /dev/null @@ -1 +0,0 @@ - From 9c9901382332e8920583d1a939465fbdf07fe100 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 30 Sep 2024 17:05:51 -0300 Subject: [PATCH 28/90] Add files via upload --- dados/mapbiomas_ba.csv | 28398 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 28398 insertions(+) create mode 100644 dados/mapbiomas_ba.csv diff --git a/dados/mapbiomas_ba.csv b/dados/mapbiomas_ba.csv new file mode 100644 index 0000000..5802ab5 --- /dev/null +++ b/dados/mapbiomas_ba.csv @@ -0,0 +1,28398 @@ +CODEALERTA,FONTE,BIOMA,ESTADO,MUNICIPIO,AREAHA,ANODETEC,DATADETEC,DTIMGANT,DTIMGDEP,DTPUBLI,VPRESSAO +"1226926",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,2.9600000000,2024.0000000000,2024/01/01,2023/01/26,2024/02/14,2024/04/30,agriculture +"1226922",{SAD-CAATINGA},Caatinga,BAHIA,Miguel 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Preto,7.6200000000,2024.0000000000,2024/05/03,2023/09/08,2023/10/18,2024/08/12,agriculture +"1258556",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,2.2500000000,2024.0000000000,2024/05/24,2024/01/10,2024/05/28,2024/08/12,agriculture +"1258259",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,8.7400000000,2024.0000000000,2024/05/13,2024/06/10,2024/07/30,2024/08/12,agriculture +"1258190",{DETER-CERRADO},Cerrado,BAHIA,Coribe,7.1200000000,2024.0000000000,2024/05/24,2024/04/19,2024/07/11,2024/08/12,agriculture +"1258081",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,24.1700000000,2024.0000000000,2024/05/24,2024/04/14,2024/05/16,2024/08/12,agriculture +"1257882",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,3.0900000000,2024.0000000000,2024/05/03,2024/02/05,2024/03/03,2024/08/12,agriculture +"1257686",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,6.5300000000,2024.0000000000,2024/05/13,2024/03/25,2024/05/31,2024/08/12,agriculture +"1262068",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita 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Atlântica,BAHIA,Itambé,9.8400000000,2024.0000000000,2024/07/31,2024/02/14,2024/04/18,2024/08/16,agriculture +"1272652",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,22.5100000000,2024.0000000000,2024/07/31,2023/07/14,2024/07/18,2024/08/16,agriculture +"1272716",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,4.0600000000,2024.0000000000,2024/07/31,2024/04/07,2024/06/13,2024/08/16,agriculture +"1271942",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,0.7400000000,2024.0000000000,2024/07/31,2023/12/28,2024/04/07,2024/08/16,agriculture +"1272541",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Vitória da Conquista,3.2200000000,2024.0000000000,2024/07/31,2024/02/25,2024/04/18,2024/08/16,agriculture +"1272487",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.7400000000,2024.0000000000,2024/07/31,2024/02/01,2024/06/30,2024/08/16,agriculture +"1272462",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,13.0800000000,2024.0000000000,2024/07/31,2023/12/11,2024/08/08,2024/08/16,agriculture +"1272445",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,5.5000000000,2024.0000000000,2024/07/31,2023/07/13,2024/05/14,2024/08/16,agriculture +"1272107",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ilhéus,1.2500000000,2024.0000000000,2024/07/31,2024/02/15,2024/05/16,2024/08/16,agriculture +"1272026",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Catu,0.6200000000,2024.0000000000,2024/07/31,2024/02/25,2024/06/14,2024/08/16,agriculture +"1272638",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Taperoá,3.5600000000,2024.0000000000,2024/07/31,2024/01/10,2024/03/11,2024/08/16,agriculture +"1272282",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,2.2400000000,2024.0000000000,2024/07/31,2024/01/02,2024/05/19,2024/08/16,agriculture +"1271473",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,8.4800000000,2024.0000000000,2024/07/31,2024/01/12,2024/04/26,2024/08/16,agriculture +"1271912",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,0.8900000000,2024.0000000000,2024/07/31,2024/01/15,2024/04/18,2024/08/16,agriculture +"1271759",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,0.2800000000,2024.0000000000,2024/07/31,2024/04/07,2024/05/14,2024/08/16,agriculture +"1271824",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,1.0300000000,2024.0000000000,2024/07/31,2024/02/29,2024/03/22,2024/08/16,agriculture +"1271811",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,1.0400000000,2024.0000000000,2024/07/31,2024/02/06,2024/03/11,2024/08/16,agriculture +"1271741",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,2.5400000000,2024.0000000000,2024/07/31,2024/03/09,2024/04/26,2024/08/16,agriculture +"1271612",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Arataca,1.2200000000,2024.0000000000,2024/07/31,2024/01/30,2024/05/13,2024/08/16,agriculture +"1271648",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Igrapiúna,0.5500000000,2024.0000000000,2024/07/31,2024/04/19,2024/05/14,2024/08/16,agriculture +"1271479",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,3.0600000000,2024.0000000000,2024/07/31,2024/02/29,2024/04/12,2024/08/16,agriculture +"1271506",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Cruz Cabrália,0.6300000000,2024.0000000000,2024/07/31,2024/04/17,2024/05/19,2024/08/16,agriculture +"1270855",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,0.7500000000,2024.0000000000,2024/07/31,2024/02/02,2024/03/21,2024/08/16,agriculture +"1270906",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caatiba,3.8000000000,2024.0000000000,2024/07/31,2024/01/30,2024/03/16,2024/08/16,agriculture +"1271463",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,2.7500000000,2024.0000000000,2024/07/31,2024/03/01,2024/05/13,2024/08/16,agriculture +"1271335",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,1.1900000000,2024.0000000000,2024/07/31,2024/01/03,2024/03/24,2024/08/16,agriculture +"1271219",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,0.7100000000,2024.0000000000,2024/07/31,2024/03/19,2024/05/19,2024/08/16,agriculture +"1271137",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Eunápolis,2.6700000000,2024.0000000000,2024/07/31,2023/12/30,2024/03/18,2024/08/16,agriculture +"1271000",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Iguaí,10.1800000000,2024.0000000000,2024/07/31,2024/03/21,2024/06/29,2024/08/16,agriculture +"1270961",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.9400000000,2024.0000000000,2024/07/31,2024/03/01,2024/05/13,2024/08/16,agriculture +"1270938",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Taperoá,0.8300000000,2024.0000000000,2024/07/31,2024/03/01,2024/06/30,2024/08/16,agriculture +"1270899",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,8.3400000000,2024.0000000000,2024/07/31,2024/03/07,2024/08/21,2024/08/16,agriculture +"1270617",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,6.6600000000,2024.0000000000,2024/07/31,2024/03/31,2024/05/24,2024/08/16,agriculture +"1270698",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Vitória da Conquista,5.1700000000,2024.0000000000,2024/07/31,2024/03/07,2024/05/24,2024/08/16,agriculture +"1270161",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itarantim,5.3700000000,2024.0000000000,2024/07/31,2023/12/30,2024/03/18,2024/08/16,agriculture +"1270572",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Irajuba,2.7100000000,2024.0000000000,2024/07/31,2024/04/18,2024/05/13,2024/08/16,agriculture +"1270469",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Igrapiúna,0.5100000000,2024.0000000000,2024/07/31,2024/03/01,2024/04/19,2024/08/16,agriculture +"1270463",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nova Ibiá,8.0000000000,2024.0000000000,2024/07/31,2023/11/24,2024/05/13,2024/08/16,agriculture +"1270418",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,21.2500000000,2024.0000000000,2024/07/31,2024/01/31,2024/07/03,2024/08/16,agriculture +"1270372",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belo Campo,2.9300000000,2024.0000000000,2024/07/31,2024/01/12,2024/07/12,2024/08/16,agriculture +"1270273",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itapebi,2.0300000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/29,2024/08/16,agriculture +"1270163",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Boa Nova,5.9200000000,2024.0000000000,2024/07/31,2024/02/28,2024/05/03,2024/08/16,agriculture +"1270185",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagi,0.8700000000,2024.0000000000,2024/07/31,2023/12/30,2024/06/28,2024/08/16,agriculture +"1270187",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Poções,2.0200000000,2024.0000000000,2024/07/31,2024/03/17,2024/05/02,2024/08/16,agriculture +"1269641",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Conde,3.8300000000,2024.0000000000,2024/07/31,2024/02/25,2024/03/25,2024/08/16,urban_expansion +"1270146",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jaguaquara,1.0600000000,2024.0000000000,2024/07/31,2024/01/30,2024/04/18,2024/08/16,agriculture +"1270140",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,0.5500000000,2024.0000000000,2024/07/31,2024/01/15,2024/02/15,2024/08/16,agriculture +"1269967",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Arataca,2.7300000000,2024.0000000000,2024/07/31,2023/11/22,2024/03/16,2024/08/16,agriculture +"1269980",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ubaíra,3.1600000000,2024.0000000000,2024/07/31,2024/03/16,2024/05/02,2024/08/16,agriculture +"1269966",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Inês,0.7200000000,2024.0000000000,2024/07/31,2024/03/10,2024/03/16,2024/08/16,agriculture +"1269642",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.6500000000,2024.0000000000,2024/07/31,2024/02/17,2024/05/10,2024/08/16,agriculture +"1269741",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,1.4500000000,2024.0000000000,2024/07/31,2024/01/30,2024/05/12,2024/08/16,agriculture +"1269744",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,53.4800000000,2024.0000000000,2024/07/31,2024/03/01,2024/04/18,2024/08/16,agriculture +"1269952",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,3.5300000000,2024.0000000000,2024/07/31,2023/12/30,2024/05/13,2024/08/16,agriculture +"1269623",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,8.1800000000,2024.0000000000,2024/07/31,2023/12/27,2024/03/10,2024/08/16,agriculture +"1268924",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Conde,2.8500000000,2024.0000000000,2024/07/31,2024/03/29,2024/05/06,2024/08/16,agriculture +"1269585",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itacaré,3.8400000000,2024.0000000000,2024/07/31,2024/03/11,2024/05/19,2024/08/16,agriculture +"1269540",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caravelas,0.7800000000,2024.0000000000,2024/07/31,2024/01/14,2024/03/01,2024/08/16,agriculture +"1269490",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jucuruçu,7.7900000000,2024.0000000000,2024/07/31,2023/12/22,2024/03/22,2024/08/16,agriculture +"1269390",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Mucuri,1.7900000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/14,2024/08/16,agriculture +"1269393",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Uruçuca,0.6300000000,2024.0000000000,2024/07/31,2023/06/22,2024/05/03,2024/08/16,agriculture +"1269166",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,25.5000000000,2024.0000000000,2024/07/31,2024/03/31,2024/07/18,2024/08/16,agriculture +"1269103",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabuna,3.0300000000,2024.0000000000,2024/07/31,2023/10/15,2024/05/24,2024/08/16,agriculture +"1268966",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,9.7700000000,2024.0000000000,2024/07/31,2023/12/30,2024/05/19,2024/08/16,agriculture +"1262768",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,11.4700000000,2024.0000000000,2024/03/01,2024/05/18,2024/06/12,2024/08/12,agriculture +"1270704",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,1.4200000000,2024.0000000000,2024/07/31,2024/01/12,2024/06/10,2024/08/16,agriculture +"1268231",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camaçari,3.8400000000,2024.0000000000,2024/07/31,2024/02/14,2024/04/19,2024/08/16,agriculture +"1268917",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Esplanada,2.1300000000,2024.0000000000,2024/07/31,2024/01/31,2024/06/29,2024/08/16,agriculture +"1268849",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Eunápolis,1.1400000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/25,2024/08/16,agriculture +"1268804",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,41.7400000000,2024.0000000000,2024/07/31,2024/01/12,2024/07/17,2024/08/16,agriculture +"1268729",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Taperoá,0.8200000000,2024.0000000000,2024/07/31,2023/12/25,2024/05/10,2024/08/16,agriculture +"1268694",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,0.8100000000,2024.0000000000,2024/07/31,2024/01/11,2024/03/21,2024/08/16,agriculture +"1268367",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Wenceslau Guimarães,0.5400000000,2024.0000000000,2024/07/31,2024/01/31,2024/03/02,2024/08/16,agriculture +"1268263",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camaçari,4.7200000000,2024.0000000000,2024/07/31,2023/09/07,2024/06/28,2024/08/16,agriculture +"1226109",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,7.5800000000,2024.0000000000,2024/02/01,2023/02/23,2024/02/03,2024/04/30,agriculture +"1223325",{SAD-CAATINGA},Caatinga,BAHIA,Itatim,45.7700000000,2024.0000000000,2024/01/01,2023/03/12,2024/01/31,2024/04/30,agriculture +"1222845",{SAD-CAATINGA},Caatinga,BAHIA,Caetanos,58.5900000000,2024.0000000000,2024/01/01,2023/03/30,2024/01/17,2024/04/30,agriculture +"1225139",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,11.0100000000,2024.0000000000,2024/02/01,2023/07/25,2024/03/06,2024/04/30,agriculture +"1260606",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,32.9500000000,2024.0000000000,2024/05/03,2023/12/05,2024/05/29,2024/08/12,agriculture +"1222813",{SAD-CAATINGA},Caatinga,BAHIA,Piritiba,3.4100000000,2024.0000000000,2024/01/01,2023/01/26,2024/01/31,2024/04/30,agriculture +"1227294",{SAD-CAATINGA},Caatinga,BAHIA,Nordestina,15.4600000000,2024.0000000000,2024/01/01,2023/07/14,2024/01/24,2024/04/30,agriculture +"1221268",{SAD-CAATINGA},Caatinga,BAHIA,Olindina,5.7200000000,2024.0000000000,2024/01/01,2023/01/29,2024/01/19,2024/04/30,agriculture +"1221670",{SAD-CAATINGA},Caatinga,BAHIA,Itapicuru,13.8000000000,2024.0000000000,2024/01/01,2023/07/22,2024/01/31,2024/04/30,agriculture +"1260786",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,20.2400000000,2024.0000000000,2024/06/14,2024/01/20,2024/07/30,2024/08/12,agriculture +"1260713",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,31.7200000000,2024.0000000000,2024/06/03,2023/12/25,2024/06/14,2024/08/12,agriculture +"1260485",{DETER-CERRADO},Cerrado,BAHIA,Cocos,251.5800000000,2024.0000000000,2024/06/07,2024/05/04,2024/07/28,2024/08/12,agriculture +"1260386",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,49.7900000000,2024.0000000000,2024/06/10,2024/05/16,2024/06/26,2024/08/12,agriculture +"1260100",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,599.0600000000,2024.0000000000,2024/06/24,2024/05/09,2024/07/20,2024/08/12,agriculture +"1260030",{DETER-CERRADO},Cerrado,BAHIA,Pindaí,8.7400000000,2024.0000000000,2024/06/19,2024/01/12,2024/04/26,2024/08/12,agriculture +"1259959",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,3.0700000000,2024.0000000000,2024/06/14,2024/02/05,2024/03/11,2024/08/12,agriculture +"1263636",{SAD-CERRADO},Cerrado,BAHIA,Coribe,29.0700000000,2024.0000000000,2024/06/01,2024/02/15,2024/06/29,2024/08/12,agriculture 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+"888660",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,213.2300000000,2023.0000000000,2023/03/03,2023/01/01,2023/05/25,2023/05/19,agriculture +"888580",{DETER-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,15.0800000000,2023.0000000000,2023/04/15,2023/01/10,2023/05/22,2023/05/19,agriculture +"888539",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,11.4600000000,2023.0000000000,2023/04/15,2023/01/01,2023/04/26,2023/05/19,agriculture +"888152",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,552.7000000000,2023.0000000000,2023/03/30,2023/02/11,2023/05/09,2023/05/19,agriculture +"888367",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,33.9600000000,2023.0000000000,2023/04/27,2023/01/17,2023/05/23,2023/05/19,agriculture +"888276",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,40.6300000000,2023.0000000000,2023/03/08,2023/01/31,2023/04/16,2023/05/19,agriculture +"889074",{DETER-CERRADO},Cerrado,BAHIA,Correntina,237.4300000000,2023.0000000000,2023/03/23,2022/10/28,2023/05/18,2023/05/19,agriculture +"889087",{DETER-CERRADO},Cerrado,BAHIA,Correntina,85.3800000000,2023.0000000000,2023/03/14,2022/09/07,2023/03/30,2023/05/19,agriculture +"889077",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,67.0900000000,2023.0000000000,2023/03/30,2022/10/18,2023/05/20,2023/05/19,agriculture +"888996",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,54.9600000000,2023.0000000000,2023/04/15,2023/01/17,2023/05/30,2023/05/19,agriculture +"888990",{DETER-CERRADO},Cerrado,BAHIA,Canápolis,118.2100000000,2023.0000000000,2023/04/15,2023/01/17,2023/05/18,2023/05/19,agriculture +"883210",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,1.1300000000,2023.0000000000,2023/04/30,2023/01/01,2023/03/19,2023/05/18,agriculture +"888942",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,125.1900000000,2023.0000000000,2023/04/15,2022/11/13,2023/04/27,2023/05/19,agriculture +"883104",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Macarani,21.9200000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/20,2023/05/18,agriculture +"888515",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,102.7100000000,2023.0000000000,2023/04/29,2023/02/22,2023/05/05,2023/05/19,agriculture +"887883",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,26.4600000000,2023.0000000000,2023/04/27,2023/03/06,2023/05/06,2023/05/19,agriculture +"887788",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,995.1100000000,2023.0000000000,2023/03/30,2023/01/02,2023/04/18,2023/05/19,agriculture +"883231",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,15.0100000000,2023.0000000000,2023/04/30,2023/01/01,2023/05/19,2023/05/18,agriculture +"883631",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabela,2.4600000000,2023.0000000000,2023/04/30,2023/01/23,2023/03/30,2023/05/18,agriculture +"882940",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Planalto,29.5500000000,2023.0000000000,2023/04/30,2022/12/21,2023/03/30,2023/05/18,agriculture +"882913",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,9.7000000000,2023.0000000000,2023/04/30,2023/01/26,2023/03/30,2023/05/18,agriculture +"882881",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,3.0800000000,2023.0000000000,2023/04/30,2023/01/25,2023/02/18,2023/05/18,agriculture +"882897",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,7.1000000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/15,2023/05/18,agriculture +"881990",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ilhéus,2.4300000000,2023.0000000000,2023/04/30,2023/02/23,2023/04/25,2023/05/18,agriculture +"881957",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Lajedo do Tabocal,9.9400000000,2023.0000000000,2023/04/30,2022/10/04,2023/04/16,2023/05/18,agriculture +"881941",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,2.3400000000,2023.0000000000,2023/04/30,2022/12/13,2023/02/02,2023/05/18,agriculture +"881994",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Wenceslau Guimarães,2.5400000000,2023.0000000000,2023/04/30,2023/01/28,2023/04/13,2023/05/18,agriculture +"881928",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,São Sebastião do Passé,6.4800000000,2023.0000000000,2023/04/30,2023/02/18,2023/04/19,2023/05/18,agriculture +"881922",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,14.5100000000,2023.0000000000,2023/04/30,2023/02/05,2023/03/31,2023/05/18,agriculture +"881917",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Catu,5.7100000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/20,2023/05/18,agriculture +"889080",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,83.2600000000,2023.0000000000,2023/03/29,2023/01/10,2023/04/26,2023/05/19,agriculture +"888979",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,350.6700000000,2023.0000000000,2023/04/12,2023/02/10,2023/05/30,2023/05/19,agriculture +"888898",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,21.0800000000,2023.0000000000,2023/03/31,2022/06/01,2023/05/07,2023/05/19,agriculture +"888833",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,19.9800000000,2023.0000000000,2023/04/27,2022/02/25,2023/03/24,2023/05/19,agriculture +"888633",{DETER-CERRADO},Cerrado,BAHIA,Caetité,6.4400000000,2023.0000000000,2023/03/09,2022/07/31,2022/12/28,2023/05/19,agriculture +"888561",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,235.8200000000,2023.0000000000,2023/04/15,2023/03/10,2023/05/22,2023/05/19,agriculture +"888558",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,84.8700000000,2023.0000000000,2023/04/29,2023/01/31,2023/05/21,2023/05/19,agriculture +"888529",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,22.5800000000,2023.0000000000,2023/04/27,2023/01/10,2023/04/02,2023/05/19,agriculture +"888528",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,17.0200000000,2023.0000000000,2023/04/18,2023/01/31,2023/04/28,2023/05/19,agriculture +"888344",{DETER-CERRADO},Cerrado,BAHIA,Catolândia,30.6000000000,2023.0000000000,2023/04/29,2023/03/10,2023/04/14,2023/05/19,agriculture +"888399",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,36.1500000000,2023.0000000000,2023/03/03,2022/06/29,2023/05/16,2023/05/19,agriculture +"888305",{DETER-CERRADO},Cerrado,BAHIA,Cristópolis,93.1700000000,2023.0000000000,2023/03/06,2022/05/22,2023/06/01,2023/05/19,agriculture +"888259",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,21.2200000000,2023.0000000000,2023/03/08,2022/10/20,2023/02/11,2023/05/19,agriculture +"888710",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,26.5300000000,2023.0000000000,2023/04/18,2022/10/18,2023/01/10,2023/05/19,agriculture +"888693",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,29.4900000000,2023.0000000000,2023/04/15,2022/05/10,2022/09/30,2023/05/19,agriculture +"888579",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,614.6100000000,2023.0000000000,2023/04/18,2022/10/01,2023/05/20,2023/05/19,agriculture +"888453",{DETER-CERRADO},Cerrado,BAHIA,Correntina,9.2900000000,2023.0000000000,2023/04/27,2023/01/24,2023/03/09,2023/05/19,agriculture +"883317",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Mata de São João,7.2500000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/11,2023/05/18,agriculture +"883281",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Rio Real,1.4900000000,2023.0000000000,2023/04/30,2023/03/03,2023/04/19,2023/05/18,agriculture +"883256",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Pojuca,14.6200000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/19,2023/05/18,agriculture +"883239",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caatiba,0.6500000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/20,2023/05/18,agriculture +"883012",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Cruz da Vitória,1.5700000000,2023.0000000000,2023/04/30,2022/09/14,2023/04/20,2023/05/18,agriculture +"882919",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,2.0800000000,2023.0000000000,2023/04/30,2023/02/05,2023/03/15,2023/05/18,agriculture +"882827",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,2.6300000000,2023.0000000000,2023/04/30,2023/01/14,2023/03/31,2023/05/18,agriculture +"882844",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabela,0.5900000000,2023.0000000000,2023/04/30,2023/02/15,2023/03/30,2023/05/18,agriculture +"882834",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Mascote,3.7700000000,2023.0000000000,2023/04/30,2022/10/05,2023/03/30,2023/05/18,agriculture +"882805",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Maracás,7.8100000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/15,2023/05/18,agriculture +"882800",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,1.5600000000,2023.0000000000,2023/04/30,2022/12/22,2023/02/20,2023/05/18,agriculture +"882697",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Inês,20.9600000000,2023.0000000000,2023/04/30,2023/01/27,2023/04/16,2023/05/18,agriculture +"882691",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,5.3500000000,2023.0000000000,2023/04/30,2023/01/29,2023/04/14,2023/05/18,agriculture +"882484",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,14.9700000000,2023.0000000000,2023/04/30,2022/10/04,2023/04/01,2023/05/18,agriculture +"888192",{DETER-CERRADO},Cerrado,BAHIA,Coribe,130.6800000000,2023.0000000000,2023/03/03,2023/01/17,2023/03/24,2023/05/19,agriculture +"888282",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,23.1000000000,2023.0000000000,2023/03/26,2023/01/25,2023/02/09,2023/05/19,agriculture +"882437",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,1.5400000000,2023.0000000000,2023/04/30,2023/02/06,2023/03/30,2023/05/18,agriculture +"888749",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,32.7900000000,2023.0000000000,2023/04/29,2022/10/02,2023/04/16,2023/05/19,agriculture +"888706",{DETER-CERRADO},Cerrado,BAHIA,Caetité,13.8700000000,2023.0000000000,2023/03/09,2022/12/11,2023/03/12,2023/05/19,agriculture +"882210",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cardeal da Silva,1.6400000000,2023.0000000000,2023/04/30,2023/01/25,2023/04/20,2023/05/18,agriculture +"882204",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itanagra,5.0500000000,2023.0000000000,2023/04/30,2023/01/29,2023/04/04,2023/05/18,agriculture +"882203",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,16.1800000000,2023.0000000000,2023/04/30,2023/01/30,2023/04/04,2023/05/18,agriculture +"882124",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,2.8100000000,2023.0000000000,2023/04/30,2023/01/01,2023/03/31,2023/05/18,agriculture +"874541",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,59.3600000000,2023.0000000000,2023/02/19,2022/12/12,2023/03/05,2023/03/26,agriculture +"881886",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,3.8200000000,2023.0000000000,2023/04/30,2023/02/12,2023/03/30,2023/05/18,agriculture +"882106",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itanagra,9.2700000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/19,2023/05/18,agriculture +"881852",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,5.6100000000,2023.0000000000,2023/04/30,2022/12/12,2023/03/30,2023/05/18,agriculture +"883376",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Vereda,0.9000000000,2023.0000000000,2023/04/30,2023/02/10,2023/03/30,2023/05/18,agriculture +"883628",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alagoinhas,1.2100000000,2023.0000000000,2023/04/30,2022/10/04,2023/02/18,2023/05/18,agriculture +"883557",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jucuruçu,3.5100000000,2023.0000000000,2023/04/30,2023/02/06,2023/03/30,2023/05/18,agriculture +"883325",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Água Fria,5.7100000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/15,2023/05/18,agriculture +"883577",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Entre Rios,2.4000000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/19,2023/05/18,agriculture +"883372",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagibá,4.5700000000,2023.0000000000,2023/04/30,2023/01/23,2023/04/16,2023/05/18,agriculture +"883244",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Macarani,12.3500000000,2023.0000000000,2023/04/30,2023/01/31,2023/04/20,2023/05/18,agriculture +"883127",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itapetinga,23.0300000000,2023.0000000000,2023/04/30,2023/01/18,2023/04/20,2023/05/18,agriculture +"883110",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caravelas,3.7400000000,2023.0000000000,2023/04/30,2022/12/20,2023/02/28,2023/05/18,agriculture +"883291",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cardeal da Silva,3.6300000000,2023.0000000000,2023/04/30,2023/01/25,2023/04/20,2023/05/18,agriculture +"888136",{DETER-CERRADO},Cerrado,BAHIA,Cotegipe,145.3000000000,2023.0000000000,2023/03/29,2022/12/12,2023/03/05,2023/05/19,agriculture +"882397",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Lajedo do Tabocal,0.3900000000,2023.0000000000,2023/04/30,2023/02/03,2023/03/09,2023/05/18,agriculture +"882422",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itiruçu,12.5500000000,2023.0000000000,2023/04/30,2022/10/04,2023/03/09,2023/05/18,agriculture +"888082",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,223.7500000000,2023.0000000000,2023/03/08,2022/06/11,2023/02/10,2023/05/19,agriculture +"888253",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,127.1300000000,2023.0000000000,2023/03/08,2023/02/14,2023/05/20,2023/05/19,agriculture +"888113",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,228.2500000000,2023.0000000000,2023/03/29,2023/02/11,2023/03/24,2023/05/19,agriculture +"887902",{DETER-CERRADO},Cerrado,BAHIA,Tanque Novo,4.5000000000,2023.0000000000,2023/03/17,2022/02/01,2022/06/07,2023/05/19,agriculture +"882402",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Pau Brasil,72.0400000000,2023.0000000000,2023/04/30,2022/08/11,2023/04/20,2023/05/18,agriculture +"887801",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,71.7000000000,2023.0000000000,2023/03/30,2022/03/26,2023/03/28,2023/05/19,agriculture +"887910",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,14.7800000000,2023.0000000000,2023/04/29,2023/03/28,2023/04/20,2023/05/19,agriculture +"887762",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,30.5100000000,2023.0000000000,2023/04/15,2022/09/14,2023/02/13,2023/05/19,agriculture +"887820",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,17.1100000000,2023.0000000000,2023/03/03,2022/10/22,2022/12/11,2023/05/19,agriculture +"887606",{DETER-CERRADO},Cerrado,BAHIA,Catolândia,45.7900000000,2023.0000000000,2023/04/29,2023/01/31,2023/05/31,2023/05/19,agriculture +"888967",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,536.2900000000,2023.0000000000,2023/04/15,2023/01/17,2023/05/19,2023/05/19,agriculture +"888988",{DETER-CERRADO},Cerrado,BAHIA,Correntina,979.6200000000,2023.0000000000,2023/03/17,2023/03/04,2023/05/03,2023/05/19,agriculture +"888873",{DETER-CERRADO},Cerrado,BAHIA,Caetité,9.3000000000,2023.0000000000,2023/03/09,2022/04/14,2023/03/25,2023/05/19,agriculture +"888941",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,318.4200000000,2023.0000000000,2023/03/30,2023/03/04,2023/05/11,2023/05/19,agriculture +"888853",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,10.8400000000,2023.0000000000,2023/03/11,2022/07/17,2022/11/13,2023/05/19,agriculture +"888776",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,50.2500000000,2023.0000000000,2023/04/29,2023/02/10,2023/04/26,2023/05/19,agriculture +"888685",{DETER-CERRADO},Cerrado,BAHIA,Brejolândia,45.4900000000,2023.0000000000,2023/04/27,2022/09/16,2023/01/01,2023/05/19,agriculture +"888648",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,11.0500000000,2023.0000000000,2023/04/29,2023/03/09,2023/03/30,2023/05/19,agriculture +"888621",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,41.5000000000,2023.0000000000,2023/03/02,2022/10/01,2023/05/18,2023/05/19,agriculture +"888023",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,21.8700000000,2023.0000000000,2023/04/24,2023/02/10,2023/04/20,2023/05/19,agriculture +"888211",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,252.1400000000,2023.0000000000,2023/04/26,2023/01/17,2023/05/29,2023/05/19,agriculture +"888947",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,723.4500000000,2023.0000000000,2023/03/29,2023/02/12,2023/06/02,2023/05/19,agriculture +"883535",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,3.2700000000,2023.0000000000,2023/04/30,2022/12/20,2023/04/15,2023/05/18,agriculture +"887959",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,254.9200000000,2023.0000000000,2023/03/11,2022/06/10,2023/03/10,2023/05/19,agriculture +"887822",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,448.2500000000,2023.0000000000,2023/04/29,2022/12/08,2023/03/30,2023/05/19,agriculture +"887478",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,162.6400000000,2023.0000000000,2023/03/06,2022/12/12,2023/03/31,2023/05/19,agriculture +"889076",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,345.8300000000,2023.0000000000,2023/03/14,2022/08/06,2023/05/30,2023/05/19,agriculture +"888867",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,348.8700000000,2023.0000000000,2023/04/29,2022/10/18,2023/02/25,2023/05/19,agriculture +"887574",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,150.1100000000,2023.0000000000,2023/04/29,2023/02/10,2023/05/05,2023/05/19,agriculture +"888959",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,343.9200000000,2023.0000000000,2023/03/11,2023/02/15,2023/05/08,2023/05/19,agriculture +"888725",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,534.4800000000,2023.0000000000,2023/04/15,2022/10/07,2023/04/15,2023/05/19,agriculture +"889067",{DETER-CERRADO},Cerrado,BAHIA,Cocos,1181.9600000000,2023.0000000000,2023/04/06,2022/10/19,2023/05/21,2023/05/19,agriculture +"881803",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Esplanada,1.4000000000,2023.0000000000,2023/04/30,2022/12/13,2023/03/05,2023/05/18,agriculture +"881804",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alcobaça,0.6700000000,2023.0000000000,2023/04/30,2023/02/03,2023/04/15,2023/05/18,agriculture +"881761",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itambé,6.9400000000,2023.0000000000,2023/04/30,2022/12/12,2023/04/01,2023/05/18,agriculture +"888287",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,125.7900000000,2023.0000000000,2023/04/18,2022/05/12,2023/03/24,2023/05/19,agriculture +"882760",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Salvador,1.0900000000,2023.0000000000,2023/04/30,2023/02/14,2023/04/13,2023/05/18,agriculture +"888751",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,2248.2600000000,2023.0000000000,2023/04/26,2022/10/01,2023/05/22,2023/05/19,agriculture +"889072",{DETER-CERRADO},Cerrado,BAHIA,Cocos,2204.0400000000,2023.0000000000,2023/04/15,2023/02/03,2023/03/30,2023/05/19,agriculture +"889008",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,617.1300000000,2023.0000000000,2023/03/11,2023/01/17,2023/06/03,2023/05/19,agriculture +"927088",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,5.6900000000,2023.0000000000,2023/03/01,2023/02/13,2023/04/14,2023/06/13,agriculture +"894727",{SAD-CAATINGA},Caatinga,BAHIA,Jussara,10.5700000000,2023.0000000000,2023/01/01,2022/05/07,2022/12/19,2023/06/07,others +"891431",{SAD-CAATINGA},Caatinga,BAHIA,Paramirim,13.2200000000,2023.0000000000,2023/01/01,2022/08/17,2023/01/28,2023/06/07,others +"891433",{SAD-CAATINGA},Caatinga,BAHIA,Licínio de Almeida,2.3100000000,2023.0000000000,2023/01/01,2022/01/18,2023/01/30,2023/06/07,others +"891571",{SAD-CAATINGA},Caatinga,BAHIA,Barra,0.9200000000,2023.0000000000,2023/01/01,2022/02/17,2023/01/31,2023/06/07,others +"891460",{SAD-CAATINGA},Caatinga,BAHIA,Riacho de Santana,11.2500000000,2023.0000000000,2023/01/01,2022/05/24,2023/01/31,2023/06/07,others +"891446",{SAD-CAATINGA},Caatinga,BAHIA,Caetité,3.6700000000,2023.0000000000,2023/01/01,2022/05/04,2023/01/30,2023/06/07,others +"891443",{SAD-CAATINGA},Caatinga,BAHIA,Urandi,3.3800000000,2023.0000000000,2023/01/01,2022/03/19,2023/01/28,2023/06/07,others +"891463",{SAD-CAATINGA},Caatinga,BAHIA,Riacho de Santana,4.2200000000,2023.0000000000,2023/01/01,2022/02/18,2023/02/13,2023/06/07,others +"891448",{SAD-CAATINGA},Caatinga,BAHIA,Caturama,16.9100000000,2023.0000000000,2023/01/01,2022/04/05,2023/01/28,2023/06/07,others +"915799",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,1.8400000000,2023.0000000000,2023/05/31,2023/01/12,2023/03/30,2023/06/12,agriculture +"915764",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Cruz Cabrália,8.9800000000,2023.0000000000,2023/05/31,2023/02/14,2023/06/05,2023/06/12,agriculture +"915478",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,3.4000000000,2023.0000000000,2023/05/31,2023/02/02,2023/06/06,2023/06/12,agriculture +"915465",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,50.9800000000,2023.0000000000,2023/05/31,2023/01/01,2023/05/19,2023/06/12,agriculture +"915502",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,6.1700000000,2023.0000000000,2023/05/31,2023/02/13,2023/04/18,2023/06/12,agriculture +"914929",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,1.2500000000,2023.0000000000,2023/05/31,2023/01/24,2023/03/30,2023/06/12,agriculture +"915129",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,0.9200000000,2023.0000000000,2023/05/31,2023/02/15,2023/06/05,2023/06/12,agriculture +"915094",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alcobaça,5.0700000000,2023.0000000000,2023/05/31,2023/03/14,2023/06/03,2023/06/12,agriculture +"915091",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,1.1000000000,2023.0000000000,2023/05/31,2023/02/06,2023/03/30,2023/06/12,agriculture +"914951",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,6.4100000000,2023.0000000000,2023/05/31,2022/08/11,2023/04/01,2023/06/12,agriculture +"914979",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nova Viçosa,0.2800000000,2023.0000000000,2023/05/31,2023/01/31,2023/02/23,2023/06/12,urban_expansion +"914859",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,2.5600000000,2023.0000000000,2023/05/31,2023/01/23,2023/05/19,2023/06/12,agriculture +"914827",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itanhém,1.0200000000,2023.0000000000,2023/05/31,2023/02/08,2023/03/30,2023/06/12,agriculture +"914777",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,25.4600000000,2023.0000000000,2023/05/31,2022/12/12,2023/04/28,2023/06/12,agriculture +"914376",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alcobaça,1.2900000000,2023.0000000000,2023/05/31,2022/09/23,2023/03/30,2023/06/12,agriculture +"914296",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jequié,2.5400000000,2023.0000000000,2023/05/31,2023/01/23,2023/04/20,2023/06/12,agriculture +"914193",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nilo Peçanha,1.1300000000,2023.0000000000,2023/05/31,2023/02/01,2023/04/18,2023/06/12,agriculture +"914100",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nova Viçosa,4.9600000000,2023.0000000000,2023/05/31,2023/01/22,2023/04/01,2023/06/12,agriculture +"914109",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,3.4600000000,2023.0000000000,2023/05/31,2023/02/18,2023/05/29,2023/06/12,agriculture +"914070",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,0.7200000000,2023.0000000000,2023/05/31,2022/12/08,2023/01/13,2023/06/12,agriculture +"914060",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Maraú,0.8100000000,2023.0000000000,2023/05/31,2023/03/15,2023/05/31,2023/06/12,agriculture +"914196",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,2.5100000000,2023.0000000000,2023/05/31,2023/01/18,2023/05/11,2023/06/12,agriculture +"914012",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Prado,1.7500000000,2023.0000000000,2023/05/31,2023/02/02,2023/04/01,2023/06/12,urban_expansion +"914032",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,26.8100000000,2023.0000000000,2023/05/31,2022/12/12,2023/04/27,2023/06/12,agriculture +"913893",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,3.1700000000,2023.0000000000,2023/05/31,2023/01/23,2023/03/30,2023/06/12,agriculture +"913942",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jandaíra,0.2300000000,2023.0000000000,2023/05/31,2023/02/08,2023/02/19,2023/06/12,agriculture +"913928",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Coração de Maria,2.2900000000,2023.0000000000,2023/05/31,2023/02/15,2023/04/20,2023/06/12,agriculture +"889062",{DETER-CERRADO},Cerrado,BAHIA,Cotegipe,680.8400000000,2023.0000000000,2023/04/24,2023/02/14,2023/05/28,2023/05/19,agriculture +"889024",{DETER-CERRADO},Cerrado,BAHIA,Correntina,519.1600000000,2023.0000000000,2023/03/14,2023/04/16,2023/05/29,2023/05/19,agriculture +"887531",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,187.0200000000,2023.0000000000,2023/04/26,2023/03/11,2023/05/24,2023/05/19,agriculture +"913895",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Cruz Cabrália,1.0600000000,2023.0000000000,2023/05/31,2022/10/06,2023/02/02,2023/06/12,agriculture +"914589",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jucuruçu,3.9900000000,2023.0000000000,2023/05/31,2023/02/10,2023/03/30,2023/06/12,agriculture +"914353",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Rio Real,1.1200000000,2023.0000000000,2023/05/31,2023/01/25,2023/04/17,2023/06/12,agriculture +"914978",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,0.8700000000,2023.0000000000,2023/05/31,2023/01/23,2023/03/30,2023/06/12,agriculture +"914640",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,0.7400000000,2023.0000000000,2023/05/31,2023/03/30,2023/04/27,2023/06/12,agriculture +"914535",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa 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Seguro,1.0500000000,2023.0000000000,2023/07/31,2023/04/15,2023/05/19,2023/08/03,agriculture +"936077",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,3.6800000000,2023.0000000000,2023/07/31,2023/04/15,2023/06/03,2023/08/03,agriculture +"936307",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,5.4000000000,2023.0000000000,2023/07/31,2022/07/25,2023/06/21,2023/08/03,agriculture +"935932",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,1.8100000000,2023.0000000000,2023/07/31,2023/04/13,2023/06/06,2023/08/03,agriculture +"935879",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Prado,0.8200000000,2023.0000000000,2023/07/31,2023/04/07,2023/04/28,2023/08/03,agriculture +"935746",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caravelas,3.1600000000,2023.0000000000,2023/07/31,2023/03/30,2023/05/02,2023/08/03,agriculture +"930260",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,0.2100000000,2023.0000000000,2023/05/05,2022/06/22,2023/03/10,2023/07/03,agriculture 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Desidério,149.2900000000,2023.0000000000,2023/02/01,2022/10/11,2023/06/28,2023/06/13,agriculture +"929692",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,13.6000000000,2023.0000000000,2023/05/05,2022/06/06,2023/01/31,2023/07/03,agriculture +"921101",{SAD-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,12.6100000000,2023.0000000000,2023/02/01,2022/06/28,2023/02/13,2023/06/13,agriculture +"925563",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,2.4400000000,2023.0000000000,2023/02/01,2022/10/16,2023/02/13,2023/06/13,agriculture +"924478",{SAD-CERRADO},Cerrado,BAHIA,Mansidão,36.2700000000,2023.0000000000,2023/01/01,2022/07/05,2023/02/10,2023/06/13,agriculture +"922927",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,4.0200000000,2023.0000000000,2023/02/01,2022/10/06,2023/03/10,2023/06/13,agriculture +"898153",{SAD-CAATINGA},Caatinga,BAHIA,Santa Rita de Cássia,1.2200000000,2023.0000000000,2023/01/01,2022/07/08,2022/10/20,2023/06/07,agriculture +"898186",{SAD-CAATINGA},Caatinga,BAHIA,Euclides da Cunha,6.2300000000,2023.0000000000,2023/01/01,2022/04/13,2022/05/13,2023/06/07,agriculture +"898183",{SAD-CAATINGA},Caatinga,BAHIA,Ourolândia,4.6100000000,2023.0000000000,2023/01/01,2022/01/13,2022/09/21,2023/06/07,agriculture +"898023",{SAD-CAATINGA},Caatinga,BAHIA,América Dourada,74.4900000000,2023.0000000000,2023/01/01,2022/10/08,2022/12/19,2023/06/07,agriculture +"897999",{SAD-CAATINGA},Caatinga,BAHIA,Euclides da Cunha,26.8500000000,2023.0000000000,2023/01/01,2022/06/07,2022/08/09,2023/06/07,agriculture +"918715",{SAD-CERRADO},Cerrado,BAHIA,Correntina,109.8000000000,2023.0000000000,2023/01/01,2022/03/30,2023/02/13,2023/06/13,agriculture +"916998",{SAD-CERRADO},Cerrado,BAHIA,Barreiras,16.1100000000,2023.0000000000,2023/01/01,2022/06/08,2023/02/13,2023/06/13,agriculture +"916196",{SAD-CERRADO},Cerrado,BAHIA,Correntina,2.8700000000,2023.0000000000,2023/01/01,2022/10/03,2023/01/01,2023/06/13,agriculture +"931440",{DETER-CERRADO},Cerrado,BAHIA,São 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Neves,305.7900000000,2024.0000000000,2024/03/29,2023/12/08,2024/05/01,2024/05/01,agriculture +"1232248",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,654.3000000000,2024.0000000000,2024/03/01,2024/01/12,2024/05/01,2024/05/01,agriculture +"1212202",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camamu,7.2900000000,2024.0000000000,2024/01/31,2023/08/03,2023/12/04,2024/03/13,agriculture +"1215684",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itacaré,1.2400000000,2024.0000000000,2024/01/31,2023/07/14,2024/03/18,2024/03/13,agriculture +"1210504",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,3.1600000000,2024.0000000000,2024/02/29,2023/10/15,2024/01/30,2024/03/13,agriculture +"1210456",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nilo Peçanha,2.9900000000,2024.0000000000,2024/01/31,2023/09/10,2023/11/10,2024/03/13,aquaculture +"1234653",{DETER-CERRADO},Cerrado,BAHIA,Correntina,10.8500000000,2024.0000000000,2024/04/25,2024/01/13,2024/02/26,2024/06/04,agriculture 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+"1227006",{SAD-CAATINGA},Caatinga,BAHIA,Itaberaba,54.2600000000,2024.0000000000,2024/01/01,2023/04/19,2024/02/17,2024/04/30,agriculture +"1226996",{SAD-CAATINGA},Caatinga,BAHIA,Barra da Estiva,7.1100000000,2024.0000000000,2024/01/01,2023/08/21,2024/02/01,2024/04/30,agriculture +"1226974",{SAD-CAATINGA},Caatinga,BAHIA,Várzea da Roça,2.3700000000,2024.0000000000,2024/01/01,2023/04/29,2024/01/08,2024/04/30,agriculture From 9087d2705523dc1cd4947370e72c08e4e1bd11f4 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 30 Sep 2024 17:13:07 -0300 Subject: [PATCH 29/90] Create dados.md --- dados/dados.md | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) create mode 100644 dados/dados.md diff --git a/dados/dados.md b/dados/dados.md new file mode 100644 index 0000000..abac37e --- /dev/null +++ b/dados/dados.md @@ -0,0 +1,28 @@ +# Dados CO2 + +Toneladas de CO2 por ano, por emissor, na Bahia +Toneladas de Co2, por ano, por municipio +Municípios + +# Dados Pirata - Temperatura + +T1 temperatura de superficie +T20 temperatura 20 metros +data: dia e hora=> transformar para ano e somar + +# Dados Mapbiomas + +area de desmatamento em hectares +ano de detecção => somar +Municípios + +# Banco de dados + +Municipios +Ano_Co2 +Ano_desmat + + +Temp_ano_sup +Temp_ano + From ef6698d2863cd507e977cd60424795106347f45e Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 30 Sep 2024 17:14:49 -0300 Subject: [PATCH 30/90] Update dados.md --- dados/dados.md | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/dados/dados.md b/dados/dados.md index abac37e..2810782 100644 --- a/dados/dados.md +++ b/dados/dados.md @@ -2,19 +2,24 @@ Toneladas de CO2 por ano, por emissor, na Bahia Toneladas de Co2, por ano, por municipio +Ano Municípios +Emissor -# Dados Pirata - Temperatura +# Dados Pirata - Temperatura Boia Sul e Boia Norte T1 temperatura de superficie T20 temperatura 20 metros data: dia e hora=> transformar para ano e somar +mes + # Dados Mapbiomas area de desmatamento em hectares ano de detecção => somar Municípios +mes # Banco de dados From 9ebed94330f7a162248b43c00f8057823d60a8cd Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 4 Oct 2024 17:48:43 -0300 Subject: [PATCH 31/90] Add files via upload --- material/projeto_final_paloma_anne.ipynb | 1212 ++++++++++++++++++++++ 1 file changed, 1212 insertions(+) create mode 100644 material/projeto_final_paloma_anne.ipynb diff --git a/material/projeto_final_paloma_anne.ipynb b/material/projeto_final_paloma_anne.ipynb new file mode 100644 index 0000000..5fe2f80 --- /dev/null +++ b/material/projeto_final_paloma_anne.ipynb @@ -0,0 +1,1212 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "**Projeto Final de Análise de Dados**\n", + "\n", + "Desenvolvido por:\n", + "\n", + "Paloma Avena palomaavena@gmail.com\n", + "\n", + "Anne Ribeiro anne.asribeiro@gmail.com\n", + "\n" + ], + "metadata": { + "id": "4nPdko9j_PEt" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Contexto**\n", + "Este projeto consiste na criação de um banco de dados e análise destes dados de desmatamento e CO2 do estado da Bahia nos últimos 5 anos." + ], + "metadata": { + "id": "WIMvI1tp_XVU" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Etapas do projeto:**\n", + "\n", + "\n", + "1. Selecionar a Base de Dados\n", + "2. Definir Objetivo e Perguntas\n", + "3. Realizar Análise Exploratória\n", + "4. Gerar Base Final\n", + "5. Criar Visualizações no Tableau\n", + "6. Preparar Apresentação Final\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "metadata": { + "id": "uk5GxJpZ_ouB" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Bases Escolhidas**\n", + "\n", + "Base 1: MapBiomas Alertas\n", + "https://plataforma.alerta.mapbiomas.org/downloads\n", + "\n", + "Base 2: Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)\n", + "https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA.." + ], + "metadata": { + "id": "vqYQ20MD_orK" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Objetivo Geral:**\n", + "\n", + "Criar um banco de dados e realizar uma análise dos dados com o objetivo de identificar variáveis de como o desmatamento na Bahia impacta nas taxas de emissão de CO2 ?" + ], + "metadata": { + "id": "ZypjoEDB_ooh" + } + }, + { + "cell_type": "markdown", + "source": [ + "**As perguntas norteadoras deste projeto são:**\n", + "\n", + "Como o desmatamento na Bahia impacta as taxas de emissão de CO₂ e qual sua relação com a temperatura dos oceanos?\n", + "\n", + "Qual a taxa de desmatamento nos biomas/municípios da Bahia e como ela evoluiu no período de 2019 a 2022?\n", + "\n", + "Qual a taxa de CO2 nos municípios da Bahia e como ela evoluiu no período de 2019 a 2022?\n", + "\n", + "Existe uma relação entre as áreas desmatadas e o aumento de CO2?\n", + "\n", + "Quais regiões da Bahia apresentam as maiores emissões de carbono derivadas do desmatamento?\n", + "\n", + "Houve alguma alteração no período da Pandemia?" + ], + "metadata": { + "id": "mrO_v4O1_olp" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Ferramentas Utilizadas:**\n", + "\n", + "Banco de dados\n", + "Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc.\n", + "Tableau: Para criar as visualizações finais e apresentar os insights gerados.\n", + "GitHub: Para versionamento do projeto e documentação.\n", + "Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem.\n", + "\n" + ], + "metadata": { + "id": "VV5GKSMc_oia" + } + }, + { + "cell_type": "markdown", + "source": [ + "Instalando o **Python**: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador.\n", + "\n", + "Instalando o **Visual Studio Code (VS Code)**: Acesse o site (https://code.visualstudio.com/).\n", + "\n", + "**Extensões** que irão tornar o processo de desenvolvimento mais simples e intuitivo:\n", + "\n", + "SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos SQLite (.db), executar consultas SQL, visualizar dados e até mesmo criar tabelas e colunas diretamente no VS Code.\n", + "\n", + "SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros.\n", + "\n", + "\n", + "**Bibliotecas e módulos:**\n", + "\n", + "sqlite3\n", + "csv\n", + "Pandas\n", + "Seaborn\n", + "Matplotlib\n" + ], + "metadata": { + "id": "n33nNlCqgZFC" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Lendo Dados de um Arquivo CSV e Inserindo no Banco**\n", + "\n", + "Vamos começar lendo dados de um arquivo CSV e inserindo-os em uma tabela do banco de dados SQLite." + ], + "metadata": { + "id": "Mli_IJAwjKhD" + } + }, + { + "cell_type": "code", + "source": [ + "# Criando a Tabela no SQLite\n", + "# Primeiro, vamos criar uma tabela no banco de dados SQLite onde os dados do CSV serão armazenados.\n", + "\n", + "import sqlite3\n", + "\n", + "# Conectando ao banco de dados SQLite (ou criando se não existir)\n", + "conn = sqlite3.connect('banco_projeto.db')\n", + "cursor = conn.cursor()\n", + "\n", + "# Criando a tabela\n", + "cursor.execute(\"\"\"\n", + "CREATE TABLE IF NOT EXISTS dados_projeto (\n", + " id INTEGER PRIMARY KEY AUTOINCREMENT,\n", + " municipio TEXT NOT NULL,\n", + " ano INTEGER NOT NULL,\n", + " co2_t INTEGER NOT NULL,\n", + " area_ha INTEGER NOT NULL,\n", + "\n", + ")\n", + "\"\"\")\n", + "\n", + "# Salvando as mudanças\n", + "conn.commit()" + ], + "metadata": { + "id": "Ji3LEpVgjUL5" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "\n", + "\n", + "> Adicionar aspas\n", + "\n", + "Talvez essa parte seja no final apos os dados trabalhados\n", + "\n", + "> Adicionar aspas\n", + "\n" + ], + "metadata": { + "id": "o_MB9HIap-ww" + } + }, + { + "cell_type": "code", + "source": [ + "# Agora, vamos ler o arquivo CSV e inserir os dados na tabela:\n", + "\n", + "import csv\n", + "import sqlite3\n", + "\n", + "# Conectando ao banco de dados\n", + "conn = sqlite3.connect('banco_projeto.db')\n", + "cursor = conn.cursor()\n", + "\n", + "# Abrindo o arquivo CSV , dados.csv o nome do arquivo\n", + "with open('dados.csv', 'r') as arquivo_csv: # with open('clientes.csv', newline='', encoding='utf-8') as csvfile:\n", + " leitor_csv = csv.reader(arquivo_csv) # leitor = csv.reader(csvfile)\n", + "\n", + " # Pulando o cabeçalho\n", + " next(leitor_csv) # next(leitor)\n", + "\n", + " # Inserindo cada linha do CSV na tabela\n", + " for linha in leitor_csv: # for linha in leitor:\n", + " cursor.execute(\"INSERT INTO dados_projeto (id, municipio, ano, co2_t, area_ha) VALUES (?, ?, ?, ?, ?)\", (linha[0], int(linha[1])) # cursor.execute(\"INSERT INTO clientes (nome, email) VALUES (?, ?)\", (linha[1], linha[2]))\n", + "\n", + " # Insere vários estudantes de uma vez\n", + " # cursor.executemany(\"INSERT INTO estudantes (nome, idade) VALUES (?, ?)\", estudantes)\n", + "\n", + " # consultar https://github.com/palomaavena/on35-python-s08-banco-de-dados-II/tree/main/exercicios/para-casa\n", + "\n", + "# Salvando as mudanças\n", + "conn.commit()\n", + "\n", + "# Fechando a conexão\n", + "cursor.close()\n", + "conn.close()" + ], + "metadata": { + "id": "Tpvq5zsEkIsj" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "\n", + "**Análise exploratória de dados**\n", + "\n" + ], + "metadata": { + "id": "miL-Xxpd_niS" + } + }, + { + "cell_type": "markdown", + "source": [ + "1. DADOS DE CO2\n", + "\n" + ], + "metadata": { + "id": "c48LiFSG_Fft" + } + }, + { + "cell_type": "markdown", + "source": [ + "Coleta de dados CO2 Bahia, SEEG:\n", + "\n", + "\n", + "link: https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-bahia&_gl=1*gambxz*_ga*MTk5NTgxNjM5MS4xNzI1NjQzNTE1*_ga_XZWSWEJDWQ*MTcyNTY0MzUxNS4xLjAuMTcyNTY0MzUxNS4wLjAuMA..blob:https://plataforma.seeg.eco.br/845fd445-2d02-43a9-bb87-14435bfb6c1b\n", + "\n", + "\n", + "CO2: quantidade em tonelada" + ], + "metadata": { + "id": "vo84te4Y7n-P" + } + }, + { + "cell_type": "code", + "source": [ + "# como fazer o download direto com o link?\n", + "\n", + "import requests\n", + "\n", + "# URL do arquivo CSV\n", + "url = 'https://plataforma.seeg.eco.br/900a4305-86dd-4409-9b21-4e869a8d4768'\n", + "# Nome do arquivo para salvar\n", + "filename = 'co2_seeg.csv'\n", + "\n", + "# Fazer o download do arquivo\n", + "response = requests.get(url)\n", + "\n", + "# Verificar se o download foi bem-sucedido\n", + "if response.status_code == 200:\n", + " with open('co2_seeg.csv', 'wb') as file:\n", + " file.write(response.content)\n", + " print(f\"Arquivo {'co2_seeg.csv'} baixado com sucesso!\")\n", + "else:\n", + " print(f\"Falha ao baixar o arquivo. Status code: {response.status_code}\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "eOjjJ3T-7o9G", + "outputId": "9707451d-e215-4cdf-c9a4-5dbde68ad237" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Arquivo co2_seeg.csv baixado com sucesso!\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "Merge (mesclar) dados csv" + ], + "metadata": { + "id": "rfcw5b-JebFU" + } + }, + { + "cell_type": "code", + "source": [ + "# Primeiro, instale a biblioteca pandas se ainda não estiver instalada\n", + "!pip install pandas\n", + "\n", + "# Importando os dados\n", + "import pandas as pd\n", + "import csv\n", + "\n", + "# Carregando os dois arquivos CSV\n", + "# Caso esteja rodando localmente, altere o caminho dos arquivos.\n", + "# No Colab, você pode fazer upload dos arquivos com os botões de upload\n", + "df1 = pd.read_csv('SEEG.csv')\n", + "df2 = pd.read_csv('SEEG1.csv')\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "print(df1.head())\n", + "print(df2.head())\n", + "\n", + "\n", + "#with open('maio_abril_2024.csv', newline='', encoding='utf-8') as csvfile:\n", + " # leitor = csv.reader(csvfile)\n", + " # for linha in leitor:\n", + " # print(linha)\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dxaI-_ekeF9W", + "outputId": "720e4270-99b5-4b03-9626-e0d6430c574f" + }, + "execution_count": 8, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.2.2)\n", + "Requirement already satisfied: numpy>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from pandas) (1.26.4)\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n", + " Categoria 1990 1991 \\\n", + "0 Mudança de Uso da Terra e Floresta 7.034675e+07 7.178002e+07 \n", + "\n", + " 1992 1993 1994 1995 1996 \\\n", + "0 6.619761e+07 7.059627e+07 6.556189e+07 6.583727e+07 5.788894e+07 \n", + "\n", + " 1997 1998 ... 2013 2014 2015 \\\n", + "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", + "\n", + " 2016 2017 2018 2019 2020 \\\n", + "0 3.130805e+07 3.234297e+07 3.804942e+07 3.372027e+07 3.324519e+07 \n", + "\n", + " 2021 2022 \n", + "0 3.181527e+07 31412973 \n", + "\n", + "[1 rows x 34 columns]\n", + " Categoria 1990 1991 1992 \\\n", + "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", + "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", + "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", + "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", + "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", + "\n", + " 1993 1994 1995 1996 1997 \\\n", + "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", + "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", + "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", + "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", + "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", + "\n", + " 1998 ... 2013 2014 2015 2016 \\\n", + "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", + "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", + "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", + "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", + "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", + "\n", + " 2017 2018 2019 2020 2021 \\\n", + "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "\n", + " 2022 \n", + "0 2729422 \n", + "1 2432263 \n", + "2 1734316 \n", + "3 1473135 \n", + "4 996163 \n", + "\n", + "[5 rows x 34 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Converta todas as colunas de anos para string, por exemplo\n", + "df1[['2019', '2020', '2021', '2022']] = df1[['2019', '2020', '2021', '2022']].astype(str)\n", + "df2[['2019', '2020', '2021', '2022']] = df2[['2019', '2020', '2021', '2022']].astype(str)\n", + "\n", + "# Converta a coluna Categoria também, se necessário\n", + "df1['Categoria'] = df1['Categoria'].astype(str)\n", + "df2['Categoria'] = df2['Categoria'].astype(str)\n", + "\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "print(df1.head())\n", + "print(df2.head())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "OqzNW3FoO7zC", + "outputId": "9aec3655-e3a7-4d3d-def3-1bbe1c1e1ca9" + }, + "execution_count": 22, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 1990 1991 \\\n", + "0 Mudança de Uso da Terra e Floresta 7.034675e+07 7.178002e+07 \n", + "\n", + " 1992 1993 1994 1995 1996 \\\n", + "0 6.619761e+07 7.059627e+07 6.556189e+07 6.583727e+07 5.788894e+07 \n", + "\n", + " 1997 1998 ... 2013 2014 2015 \\\n", + "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", + "\n", + " 2016 2017 2018 2019 \\\n", + "0 3.130805e+07 3.234297e+07 3.804942e+07 33720265.584785685 \n", + "\n", + " 2020 2021 2022 \n", + "0 33245186.445011582 31815271.56421204 31412973 \n", + "\n", + "[1 rows x 34 columns]\n", + " Categoria 1990 1991 1992 \\\n", + "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", + "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", + "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", + "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", + "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", + "\n", + " 1993 1994 1995 1996 1997 \\\n", + "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", + "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", + "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", + "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", + "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", + "\n", + " 1998 ... 2013 2014 2015 2016 \\\n", + "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", + "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", + "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", + "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", + "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", + "\n", + " 2017 2018 2019 2020 \\\n", + "0 9.647149e+05 1.252957e+06 2024107.6610826252 3091203.197527945 \n", + "1 7.885680e+05 1.208044e+06 4220327.0016454905 3073766.4334418774 \n", + "2 7.539480e+05 1.162687e+06 1706967.7386553884 1744004.154955864 \n", + "3 1.202182e+06 1.245274e+06 1545572.943816781 1060525.6563282013 \n", + "4 8.665016e+05 8.465682e+05 1568927.0175619423 1179766.0970728395 \n", + "\n", + " 2021 2022 \n", + "0 3159579.701361537 2729422 \n", + "1 2299737.8741800785 2432263 \n", + "2 2051920.940728784 1734316 \n", + "3 1585476.3940644264 1473135 \n", + "4 958306.347179532 996163 \n", + "\n", + "[5 rows x 34 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remover espaços em branco no início e no fim dos valores das colunas de chave\n", + "df1['Categoria'] = df1['Categoria'].str.strip()\n", + "df2['Categoria'] = df2['Categoria'].str.strip()\n", + "\n", + "# Para as colunas de ano\n", + "for col in ['2019', '2020', '2021', '2022']:\n", + " df1[col] = df1[col].str.strip()\n", + " df2[col] = df2[col].str.strip()\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "print(df1.head())\n", + "print(df2.head())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "5g1khb57PCoK", + "outputId": "d12da6c7-a6dc-4eba-c340-cb49b40aa888" + }, + "execution_count": 23, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 1990 1991 \\\n", + "0 Mudança de Uso da Terra e Floresta 7.034675e+07 7.178002e+07 \n", + "\n", + " 1992 1993 1994 1995 1996 \\\n", + "0 6.619761e+07 7.059627e+07 6.556189e+07 6.583727e+07 5.788894e+07 \n", + "\n", + " 1997 1998 ... 2013 2014 2015 \\\n", + "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", + "\n", + " 2016 2017 2018 2019 \\\n", + "0 3.130805e+07 3.234297e+07 3.804942e+07 33720265.584785685 \n", + "\n", + " 2020 2021 2022 \n", + "0 33245186.445011582 31815271.56421204 31412973 \n", + "\n", + "[1 rows x 34 columns]\n", + " Categoria 1990 1991 1992 \\\n", + "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", + "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", + "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", + "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", + "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", + "\n", + " 1993 1994 1995 1996 1997 \\\n", + "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", + "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", + "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", + "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", + "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", + "\n", + " 1998 ... 2013 2014 2015 2016 \\\n", + "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", + "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", + "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", + "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", + "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", + "\n", + " 2017 2018 2019 2020 \\\n", + "0 9.647149e+05 1.252957e+06 2024107.6610826252 3091203.197527945 \n", + "1 7.885680e+05 1.208044e+06 4220327.0016454905 3073766.4334418774 \n", + "2 7.539480e+05 1.162687e+06 1706967.7386553884 1744004.154955864 \n", + "3 1.202182e+06 1.245274e+06 1545572.943816781 1060525.6563282013 \n", + "4 8.665016e+05 8.465682e+05 1568927.0175619423 1179766.0970728395 \n", + "\n", + " 2021 2022 \n", + "0 3159579.701361537 2729422 \n", + "1 2299737.8741800785 2432263 \n", + "2 2051920.940728784 1734316 \n", + "3 1585476.3940644264 1473135 \n", + "4 958306.347179532 996163 \n", + "\n", + "[5 rows x 34 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(\"Valores únicos de Categoria no df1:\", df1['Categoria'].unique())\n", + "print(\"Valores únicos de Categoria no df2:\", df2['Categoria'].unique())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ujuFqHrRPVJL", + "outputId": "162e1c0e-477d-48ae-f243-05e59757ea0c" + }, + "execution_count": 24, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Valores únicos de Categoria no df1: ['Mudança de Uso da Terra e Floresta']\n", + "Valores únicos de Categoria no df2: ['São Desidério (BA)' 'Formosa do Rio Preto (BA)' 'Jaborandi (BA)'\n", + " 'Correntina (BA)' 'Barreiras (BA)' 'Riachão das Neves (BA)'\n", + " 'Santa Rita de Cássia (BA)' 'Jequié (BA)' 'Encruzilhada (BA)'\n", + " 'Baianópolis (BA)' 'Valença (BA)' 'Cocos (BA)' 'Belmonte (BA)'\n", + " 'Luís Eduardo Magalhães (BA)' 'Barra (BA)' 'Cotegipe (BA)'\n", + " 'Ibirapitanga (BA)' 'Itagibá (BA)' 'Itapetinga (BA)' 'Iguaí (BA)'\n", + " 'Maraú (BA)' 'Ibicuí (BA)' 'Guaratinga (BA)' 'Nilo Peçanha (BA)'\n", + " 'Camamu (BA)' 'Itambé (BA)' 'Dário Meira (BA)' 'Igrapiúna (BA)'\n", + " 'Ilhéus (BA)' 'Itarantim (BA)' 'Outros']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Fazendo a mesclagem com base em várias colunas\n", + "df_merged = pd.merge(df1, df2, on=['Categoria', '2019', '2020', '2021', '2022'], how='outer', suffixes=('.x', '.y'))\n", + "\n", + "\n", + "# Exibindo as primeiras linhas do arquivo mesclado\n", + "print(df_merged.head())\n", + "\n", + "# Salvando o arquivo final mesclado em um novo CSV\n", + "df_merged.to_csv('co2_mesclado.csv', index=False)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "FfdOp23TLhdk", + "outputId": "12048263-fbf6-4b91-a812-e25f91c4dbe2" + }, + "execution_count": 25, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 1990.x 1991.x 1992.x 1993.x 1994.x 1995.x 1996.x \\\n", + "0 Baianópolis (BA) NaN NaN NaN NaN NaN NaN NaN \n", + "1 Barra (BA) NaN NaN NaN NaN NaN NaN NaN \n", + "2 Barreiras (BA) NaN NaN NaN NaN NaN NaN NaN \n", + "3 Belmonte (BA) NaN NaN NaN NaN NaN NaN NaN \n", + "4 Camamu (BA) NaN NaN NaN NaN NaN NaN NaN \n", + "\n", + " 1997.x 1998.x ... 2009.y 2010.y 2011.y \\\n", + "0 NaN NaN ... 201533.680923 198100.860538 6.037104e+05 \n", + "1 NaN NaN ... 293285.996844 190840.199123 2.542452e+05 \n", + "2 NaN NaN ... 782536.543400 499205.103294 1.123564e+06 \n", + "3 NaN NaN ... 305481.817527 362152.208117 3.601907e+05 \n", + "4 NaN NaN ... 233046.682173 244347.041716 1.454052e+05 \n", + "\n", + " 2012.y 2013.y 2014.y 2015.y 2016.y \\\n", + "0 6.769915e+05 6.462472e+05 6.534717e+05 4.394508e+05 297636.543553 \n", + "1 2.154561e+05 4.209665e+05 1.320592e+06 7.130062e+05 237763.732862 \n", + "2 2.600460e+06 2.095302e+06 8.441796e+05 1.058625e+06 861108.203390 \n", + "3 2.477949e+05 4.196629e+05 3.442798e+05 3.239090e+05 970812.041222 \n", + "4 2.455068e+05 2.883452e+05 2.205248e+05 1.565318e+05 182309.875579 \n", + "\n", + " 2017.y 2018.y \n", + "0 522833.621365 720253.263252 \n", + "1 373584.710467 381685.422644 \n", + "2 866501.596361 846568.187975 \n", + "3 811434.286499 302593.128041 \n", + "4 283636.498159 325602.310323 \n", + "\n", + "[5 rows x 63 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df_merged.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "9ZQt2hYePVUj", + "outputId": "80c5a36d-e97e-4479-806e-f40ad76d7ec9" + }, + "execution_count": 26, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 32 entries, 0 to 31\n", + "Data columns (total 63 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Categoria 32 non-null object \n", + " 1 1990.x 1 non-null float64\n", + " 2 1991.x 1 non-null float64\n", + " 3 1992.x 1 non-null float64\n", + " 4 1993.x 1 non-null float64\n", + " 5 1994.x 1 non-null float64\n", + " 6 1995.x 1 non-null float64\n", + " 7 1996.x 1 non-null float64\n", + " 8 1997.x 1 non-null float64\n", + " 9 1998.x 1 non-null float64\n", + " 10 1999.x 1 non-null float64\n", + " 11 2000.x 1 non-null float64\n", + " 12 2001.x 1 non-null float64\n", + " 13 2002.x 1 non-null float64\n", + " 14 2003.x 1 non-null float64\n", + " 15 2004.x 1 non-null float64\n", + " 16 2005.x 1 non-null float64\n", + " 17 2006.x 1 non-null float64\n", + " 18 2007.x 1 non-null float64\n", + " 19 2008.x 1 non-null float64\n", + " 20 2009.x 1 non-null float64\n", + " 21 2010.x 1 non-null float64\n", + " 22 2011.x 1 non-null float64\n", + " 23 2012.x 1 non-null float64\n", + " 24 2013.x 1 non-null float64\n", + " 25 2014.x 1 non-null float64\n", + " 26 2015.x 1 non-null float64\n", + " 27 2016.x 1 non-null float64\n", + " 28 2017.x 1 non-null float64\n", + " 29 2018.x 1 non-null float64\n", + " 30 2019 32 non-null object \n", + " 31 2020 32 non-null object \n", + " 32 2021 32 non-null object \n", + " 33 2022 32 non-null object \n", + " 34 1990.y 31 non-null float64\n", + " 35 1991.y 31 non-null float64\n", + " 36 1992.y 31 non-null float64\n", + " 37 1993.y 31 non-null float64\n", + " 38 1994.y 31 non-null float64\n", + " 39 1995.y 31 non-null float64\n", + " 40 1996.y 31 non-null float64\n", + " 41 1997.y 31 non-null float64\n", + " 42 1998.y 31 non-null float64\n", + " 43 1999.y 31 non-null float64\n", + " 44 2000.y 31 non-null float64\n", + " 45 2001.y 31 non-null float64\n", + " 46 2002.y 31 non-null float64\n", + " 47 2003.y 31 non-null float64\n", + " 48 2004.y 31 non-null float64\n", + " 49 2005.y 31 non-null float64\n", + " 50 2006.y 31 non-null float64\n", + " 51 2007.y 31 non-null float64\n", + " 52 2008.y 31 non-null float64\n", + " 53 2009.y 31 non-null float64\n", + " 54 2010.y 31 non-null float64\n", + " 55 2011.y 31 non-null float64\n", + " 56 2012.y 31 non-null float64\n", + " 57 2013.y 31 non-null float64\n", + " 58 2014.y 31 non-null float64\n", + " 59 2015.y 31 non-null float64\n", + " 60 2016.y 31 non-null float64\n", + " 61 2017.y 31 non-null float64\n", + " 62 2018.y 31 non-null float64\n", + "dtypes: float64(58), object(5)\n", + "memory usage: 15.9+ KB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Exibe os nomes das colunas\n", + "df_merged.columns" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_nxnSeaIPvL4", + "outputId": "22f9b64e-cad2-4400-9e30-b9a1ce6a09a0" + }, + "execution_count": 27, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Index(['Categoria', '1990.x', '1991.x', '1992.x', '1993.x', '1994.x', '1995.x',\n", + " '1996.x', '1997.x', '1998.x', '1999.x', '2000.x', '2001.x', '2002.x',\n", + " '2003.x', '2004.x', '2005.x', '2006.x', '2007.x', '2008.x', '2009.x',\n", + " '2010.x', '2011.x', '2012.x', '2013.x', '2014.x', '2015.x', '2016.x',\n", + " '2017.x', '2018.x', '2019', '2020', '2021', '2022', '1990.y', '1991.y',\n", + " '1992.y', '1993.y', '1994.y', '1995.y', '1996.y', '1997.y', '1998.y',\n", + " '1999.y', '2000.y', '2001.y', '2002.y', '2003.y', '2004.y', '2005.y',\n", + " '2006.y', '2007.y', '2008.y', '2009.y', '2010.y', '2011.y', '2012.y',\n", + " '2013.y', '2014.y', '2015.y', '2016.y', '2017.y', '2018.y'],\n", + " dtype='object')" + ] + }, + "metadata": {}, + "execution_count": 27 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Selecionar 3 colunas específicas\n", + "df_reduzido = df_merged[['Categoria','2019', '2020', '2021', '2022']]\n", + "print(df_co2)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "C03aHBXA3taC", + "outputId": "7b563ecb-f07c-4168-8185-fb4f85a14a55" + }, + "execution_count": 36, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 2019 \\\n", + "0 Baianópolis (BA) 607436.7982445955 \n", + "1 Barra (BA) 226011.0523688793 \n", + "2 Barreiras (BA) 1568927.0175619423 \n", + "3 Belmonte (BA) 390403.1881421805 \n", + "4 Camamu (BA) 221471.44368362427 \n", + "5 Cocos (BA) 959394.147064954 \n", + "6 Correntina (BA) 1545572.943816781 \n", + "7 Cotegipe (BA) 331163.8086628318 \n", + "8 Dário Meira (BA) 94401.96469908953 \n", + "9 Encruzilhada (BA) 403895.9177992344 \n", + "10 Formosa do Rio Preto (BA) 4220327.0016454905 \n", + "11 Guaratinga (BA) 211708.01093423367 \n", + "12 Ibicuí (BA) 16963.917866706848 \n", + "13 Ibirapitanga (BA) 86205.62920188904 \n", + "14 Igrapiúna (BA) 257694.0746061802 \n", + "15 Iguaí (BA) 82227.19198989868 \n", + "16 Ilhéus (BA) 158872.06799983978 \n", + "17 Itagibá (BA) 121675.55451917648 \n", + "18 Itambé (BA) 100107.73387336732 \n", + "19 Itapetinga (BA) 57074.17749881744 \n", + "20 Itarantim (BA) 38472.14862561226 \n", + "21 Jaborandi (BA) 1706967.7386553884 \n", + "22 Jequié (BA) 249169.2120203972 \n", + "23 Luís Eduardo Magalhães (BA) 800435.7103590965 \n", + "24 Maraú (BA) 80207.4920681715 \n", + "25 Mudança de Uso da Terra e Floresta 33720265.584785685 \n", + "26 Nilo Peçanha (BA) 90276.49283427 \n", + "27 Outros 15546451.642679542 \n", + "28 Riachão das Neves (BA) 580173.0040331781 \n", + "29 Santa Rita de Cássia (BA) 694797.0868461728 \n", + "30 São Desidério (BA) 2024107.6610826252 \n", + "31 Valença (BA) 247673.75340151787 \n", + "\n", + " 2020 2021 2022 \n", + "0 790814.9751247168 1700892.2622466087 413632 \n", + "1 139778.05993533134 79058.81857037544 312169 \n", + "2 1179766.0970728395 958306.347179532 996163 \n", + "3 350558.8480718136 331485.0170983076 354868 \n", + "4 434741.3974044919 163548.15982496738 232571 \n", + "5 1218387.32458961 1229644.9681953788 367625 \n", + "6 1060525.6563282013 1585476.3940644264 1473135 \n", + "7 559960.0834841728 292547.2605621815 297663 \n", + "8 92504.77269613744 101797.88742160796 217077 \n", + "9 451620.4507952333 587315.3614428043 414662 \n", + "10 3073766.4334418774 2299737.8741800785 2432263 \n", + "11 251656.63093233109 171742.56461274624 243882 \n", + "12 35239.99829483032 27800.69570922852 245755 \n", + "13 296362.889919281 72436.60405349731 292758 \n", + "14 378236.5840551853 148621.67436516285 210971 \n", + "15 127471.2907333374 155962.6907043457 277970 \n", + "16 191205.86366391185 131715.1359180212 209209 \n", + "17 72102.08046793938 111453.28504517674 288483 \n", + "18 144429.97027254105 65263.4872546196 227632 \n", + "19 46135.12845611572 20727.768303871155 285382 \n", + "20 60319.30365371704 10405.33336520195 203154 \n", + "21 1744004.154955864 2051920.940728784 1734316 \n", + "22 186265.72844171524 163926.43447589874 498001 \n", + "23 1523413.1056941748 654262.0002045631 343098 \n", + "24 170126.90513539314 103211.31101250648 275953 \n", + "25 33245186.445011582 31815271.56421204 31412973 \n", + "26 154625.95725762844 59568.41939795017 238334 \n", + "27 13047762.222338883 13420866.789134309 13978140 \n", + "28 1085054.2665590644 761963.2862440944 670183 \n", + "29 859509.3606863022 998700.5789114236 569631 \n", + "30 3091203.197527945 3159579.701361537 2729422 \n", + "31 427637.707020998 195332.51262283325 378871 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Altera os nomes das colunas\n", + "df_reduzido.columns = ['Municípios', '2019', '2020', '2021', '2022']\n", + "print(df_reduzido)" + ], + "metadata": { + "id": "hJwmd2gz47IT", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "8cf5c87e-9355-4fce-c6cb-7f55f81bc0ea" + }, + "execution_count": 37, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 \\\n", + "0 Baianópolis (BA) 607436.7982445955 \n", + "1 Barra (BA) 226011.0523688793 \n", + "2 Barreiras (BA) 1568927.0175619423 \n", + "3 Belmonte (BA) 390403.1881421805 \n", + "4 Camamu (BA) 221471.44368362427 \n", + "5 Cocos (BA) 959394.147064954 \n", + "6 Correntina (BA) 1545572.943816781 \n", + "7 Cotegipe (BA) 331163.8086628318 \n", + "8 Dário Meira (BA) 94401.96469908953 \n", + "9 Encruzilhada (BA) 403895.9177992344 \n", + "10 Formosa do Rio Preto (BA) 4220327.0016454905 \n", + "11 Guaratinga (BA) 211708.01093423367 \n", + "12 Ibicuí (BA) 16963.917866706848 \n", + "13 Ibirapitanga (BA) 86205.62920188904 \n", + "14 Igrapiúna (BA) 257694.0746061802 \n", + "15 Iguaí (BA) 82227.19198989868 \n", + "16 Ilhéus (BA) 158872.06799983978 \n", + "17 Itagibá (BA) 121675.55451917648 \n", + "18 Itambé (BA) 100107.73387336732 \n", + "19 Itapetinga (BA) 57074.17749881744 \n", + "20 Itarantim (BA) 38472.14862561226 \n", + "21 Jaborandi (BA) 1706967.7386553884 \n", + "22 Jequié (BA) 249169.2120203972 \n", + "23 Luís Eduardo Magalhães (BA) 800435.7103590965 \n", + "24 Maraú (BA) 80207.4920681715 \n", + "25 Mudança de Uso da Terra e Floresta 33720265.584785685 \n", + "26 Nilo Peçanha (BA) 90276.49283427 \n", + "27 Outros 15546451.642679542 \n", + "28 Riachão das Neves (BA) 580173.0040331781 \n", + "29 Santa Rita de Cássia (BA) 694797.0868461728 \n", + "30 São Desidério (BA) 2024107.6610826252 \n", + "31 Valença (BA) 247673.75340151787 \n", + "\n", + " 2020 2021 2022 \n", + "0 790814.9751247168 1700892.2622466087 413632 \n", + "1 139778.05993533134 79058.81857037544 312169 \n", + "2 1179766.0970728395 958306.347179532 996163 \n", + "3 350558.8480718136 331485.0170983076 354868 \n", + "4 434741.3974044919 163548.15982496738 232571 \n", + "5 1218387.32458961 1229644.9681953788 367625 \n", + "6 1060525.6563282013 1585476.3940644264 1473135 \n", + "7 559960.0834841728 292547.2605621815 297663 \n", + "8 92504.77269613744 101797.88742160796 217077 \n", + "9 451620.4507952333 587315.3614428043 414662 \n", + "10 3073766.4334418774 2299737.8741800785 2432263 \n", + "11 251656.63093233109 171742.56461274624 243882 \n", + "12 35239.99829483032 27800.69570922852 245755 \n", + "13 296362.889919281 72436.60405349731 292758 \n", + "14 378236.5840551853 148621.67436516285 210971 \n", + "15 127471.2907333374 155962.6907043457 277970 \n", + "16 191205.86366391185 131715.1359180212 209209 \n", + "17 72102.08046793938 111453.28504517674 288483 \n", + "18 144429.97027254105 65263.4872546196 227632 \n", + "19 46135.12845611572 20727.768303871155 285382 \n", + "20 60319.30365371704 10405.33336520195 203154 \n", + "21 1744004.154955864 2051920.940728784 1734316 \n", + "22 186265.72844171524 163926.43447589874 498001 \n", + "23 1523413.1056941748 654262.0002045631 343098 \n", + "24 170126.90513539314 103211.31101250648 275953 \n", + "25 33245186.445011582 31815271.56421204 31412973 \n", + "26 154625.95725762844 59568.41939795017 238334 \n", + "27 13047762.222338883 13420866.789134309 13978140 \n", + "28 1085054.2665590644 761963.2862440944 670183 \n", + "29 859509.3606863022 998700.5789114236 569631 \n", + "30 3091203.197527945 3159579.701361537 2729422 \n", + "31 427637.707020998 195332.51262283325 378871 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Verifica valores nulos\n", + "nulos = df_reduzido.isnull()\n", + "print(nulos)\n", + "\n", + "# Contagem de valores nulos em cada coluna\n", + "nulos_por_coluna = df_reduzido.isnull().sum()\n", + "print(nulos_por_coluna)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4XDFa2Ol6Fgg", + "outputId": "b3994467-dbe6-41aa-f4e8-336402995c3b" + }, + "execution_count": 41, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 2022\n", + "0 False False False False False\n", + "1 False False False False False\n", + "2 False False False False False\n", + "3 False False False False False\n", + "4 False False False False False\n", + "5 False False False False False\n", + "6 False False False False False\n", + "7 False False False False False\n", + "8 False False False False False\n", + "9 False False False False False\n", + "10 False False False False False\n", + "11 False False False False False\n", + "12 False False False False False\n", + "13 False False False False False\n", + "14 False False False False False\n", + "15 False False False False False\n", + "16 False False False False False\n", + "17 False False False False False\n", + "18 False False False False False\n", + "19 False False False False False\n", + "20 False False False False False\n", + "21 False False False False False\n", + "22 False False False False False\n", + "23 False False False False False\n", + "24 False False False False False\n", + "25 False False False False False\n", + "26 False False False False False\n", + "27 False False False False False\n", + "28 False False False False False\n", + "29 False False False False False\n", + "30 False False False False False\n", + "31 False False False False False\n", + "Municípios 0\n", + "2019 0\n", + "2020 0\n", + "2021 0\n", + "2022 0\n", + "dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remove linhas duplicadas\n", + "df_sem_duplicatas = df_reduzido.drop_duplicates()\n", + "print(df_sem_duplicatas)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "RdfDmG8I6UuT", + "outputId": "e928ad5f-1b36-406d-bed6-fb7b890121e0" + }, + "execution_count": 42, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 \\\n", + "0 Baianópolis (BA) 607436.7982445955 \n", + "1 Barra (BA) 226011.0523688793 \n", + "2 Barreiras (BA) 1568927.0175619423 \n", + "3 Belmonte (BA) 390403.1881421805 \n", + "4 Camamu (BA) 221471.44368362427 \n", + "5 Cocos (BA) 959394.147064954 \n", + "6 Correntina (BA) 1545572.943816781 \n", + "7 Cotegipe (BA) 331163.8086628318 \n", + "8 Dário Meira (BA) 94401.96469908953 \n", + "9 Encruzilhada (BA) 403895.9177992344 \n", + "10 Formosa do Rio Preto (BA) 4220327.0016454905 \n", + "11 Guaratinga (BA) 211708.01093423367 \n", + "12 Ibicuí (BA) 16963.917866706848 \n", + "13 Ibirapitanga (BA) 86205.62920188904 \n", + "14 Igrapiúna (BA) 257694.0746061802 \n", + "15 Iguaí (BA) 82227.19198989868 \n", + "16 Ilhéus (BA) 158872.06799983978 \n", + "17 Itagibá (BA) 121675.55451917648 \n", + "18 Itambé (BA) 100107.73387336732 \n", + "19 Itapetinga (BA) 57074.17749881744 \n", + "20 Itarantim (BA) 38472.14862561226 \n", + "21 Jaborandi (BA) 1706967.7386553884 \n", + "22 Jequié (BA) 249169.2120203972 \n", + "23 Luís Eduardo Magalhães (BA) 800435.7103590965 \n", + "24 Maraú (BA) 80207.4920681715 \n", + "25 Mudança de Uso da Terra e Floresta 33720265.584785685 \n", + "26 Nilo Peçanha (BA) 90276.49283427 \n", + "27 Outros 15546451.642679542 \n", + "28 Riachão das Neves (BA) 580173.0040331781 \n", + "29 Santa Rita de Cássia (BA) 694797.0868461728 \n", + "30 São Desidério (BA) 2024107.6610826252 \n", + "31 Valença (BA) 247673.75340151787 \n", + "\n", + " 2020 2021 2022 \n", + "0 790814.9751247168 1700892.2622466087 413632 \n", + "1 139778.05993533134 79058.81857037544 312169 \n", + "2 1179766.0970728395 958306.347179532 996163 \n", + "3 350558.8480718136 331485.0170983076 354868 \n", + "4 434741.3974044919 163548.15982496738 232571 \n", + "5 1218387.32458961 1229644.9681953788 367625 \n", + "6 1060525.6563282013 1585476.3940644264 1473135 \n", + "7 559960.0834841728 292547.2605621815 297663 \n", + "8 92504.77269613744 101797.88742160796 217077 \n", + "9 451620.4507952333 587315.3614428043 414662 \n", + "10 3073766.4334418774 2299737.8741800785 2432263 \n", + "11 251656.63093233109 171742.56461274624 243882 \n", + "12 35239.99829483032 27800.69570922852 245755 \n", + "13 296362.889919281 72436.60405349731 292758 \n", + "14 378236.5840551853 148621.67436516285 210971 \n", + "15 127471.2907333374 155962.6907043457 277970 \n", + "16 191205.86366391185 131715.1359180212 209209 \n", + "17 72102.08046793938 111453.28504517674 288483 \n", + "18 144429.97027254105 65263.4872546196 227632 \n", + "19 46135.12845611572 20727.768303871155 285382 \n", + "20 60319.30365371704 10405.33336520195 203154 \n", + "21 1744004.154955864 2051920.940728784 1734316 \n", + "22 186265.72844171524 163926.43447589874 498001 \n", + "23 1523413.1056941748 654262.0002045631 343098 \n", + "24 170126.90513539314 103211.31101250648 275953 \n", + "25 33245186.445011582 31815271.56421204 31412973 \n", + "26 154625.95725762844 59568.41939795017 238334 \n", + "27 13047762.222338883 13420866.789134309 13978140 \n", + "28 1085054.2665590644 761963.2862440944 670183 \n", + "29 859509.3606863022 998700.5789114236 569631 \n", + "30 3091203.197527945 3159579.701361537 2729422 \n", + "31 427637.707020998 195332.51262283325 378871 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Salvando o arquivo final mesclado em um novo CSV\n", + "\n", + "df_sem_duplicatas.to_csv('co2.csv', index=False)\n", + "\n", + "df_co2.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rAUV5SOqQPex", + "outputId": "9ba86d6d-8054-4578-f595-96161da895c6" + }, + "execution_count": 44, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 32 entries, 0 to 31\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Municípios 32 non-null object\n", + " 1 2019 32 non-null object\n", + " 2 2020 32 non-null object\n", + " 3 2021 32 non-null object\n", + " 4 2022 32 non-null object\n", + "dtypes: object(5)\n", + "memory usage: 1.4+ KB\n" + ] + } + ] + } + ] +} \ No newline at end of file From e983f73f8420d3d4412f7ad36aa8d323b8fe3455 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 4 Oct 2024 17:50:26 -0300 Subject: [PATCH 32/90] Rename projeto_final_paloma_anne.ipynb to projeto_s17_paloma_anne.ipynb --- .../projeto_s17_paloma_anne.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename material/projeto_final_paloma_anne.ipynb => dados/projeto_s17_paloma_anne.ipynb (99%) diff --git a/material/projeto_final_paloma_anne.ipynb b/dados/projeto_s17_paloma_anne.ipynb similarity index 99% rename from material/projeto_final_paloma_anne.ipynb rename to dados/projeto_s17_paloma_anne.ipynb index 5fe2f80..90567aa 100644 --- a/material/projeto_final_paloma_anne.ipynb +++ b/dados/projeto_s17_paloma_anne.ipynb @@ -1209,4 +1209,4 @@ ] } ] -} \ No newline at end of file +} From cb5f25dbad00af320522cd5ea5015afff2dd4c36 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 4 Oct 2024 17:50:52 -0300 Subject: [PATCH 33/90] Rename projeto_s17_paloma_anne.ipynb to projeto_s17_paloma_anne.ipynb --- {dados => material}/projeto_s17_paloma_anne.ipynb | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename {dados => material}/projeto_s17_paloma_anne.ipynb (100%) diff --git a/dados/projeto_s17_paloma_anne.ipynb b/material/projeto_s17_paloma_anne.ipynb similarity index 100% rename from dados/projeto_s17_paloma_anne.ipynb rename to material/projeto_s17_paloma_anne.ipynb From e7277510f86c7ce2555440ee4d25f302174ebd90 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 4 Oct 2024 17:51:17 -0300 Subject: [PATCH 34/90] Rename projeto_s17_paloma_anne.ipynb to projeto_s17_paloma_anne.ipynb --- {material => dados}/projeto_s17_paloma_anne.ipynb | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename {material => dados}/projeto_s17_paloma_anne.ipynb (100%) diff --git a/material/projeto_s17_paloma_anne.ipynb b/dados/projeto_s17_paloma_anne.ipynb similarity index 100% rename from material/projeto_s17_paloma_anne.ipynb rename to dados/projeto_s17_paloma_anne.ipynb From 4bf2e34436dafd36b1413e2eba45e7c55bf868a7 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 4 Oct 2024 17:51:43 -0300 Subject: [PATCH 35/90] Delete dados/dados_pirata (1).csv --- dados/dados_pirata (1).csv | 1722 ------------------------------------ 1 file changed, 1722 deletions(-) delete mode 100644 dados/dados_pirata (1).csv diff --git a/dados/dados_pirata (1).csv b/dados/dados_pirata (1).csv deleted file mode 100644 index a46cb6d..0000000 --- a/dados/dados_pirata (1).csv +++ /dev/null @@ -1,1722 +0,0 @@ -,datahora,s_1,s_10,s_20,t_1,t_10,t_13,t_20,t_5,wd,ws -0,2019-01-01 12:00:00+00:00,37.342,37.416,37.367,27.53,27.33,-99999.0,27.31,27.43,267.79999,4.5 -1,2019-01-02 12:00:00+00:00,37.412,37.48,37.392,27.8,27.53,-99999.0,27.41,27.63,258.5,3.9 -2,2019-01-03 12:00:00+00:00,37.427,37.496,37.402,27.78,27.58,-99999.0,27.47,27.67,259.20001,3.7 -3,2019-01-04 12:00:00+00:00,37.44,37.51,37.421,27.77,27.67,-99999.0,27.57,27.75,230.10001,4.5 -4,2019-01-05 12:00:00+00:00,37.454,37.527,37.442,27.79,27.75,-99999.0,27.67,27.78,252.8,5.2 -5,2019-01-06 12:00:00+00:00,37.466,37.54,37.457,27.84,27.78,-99999.0,27.7,27.83,273.60001,4.9 -6,2019-01-07 12:00:00+00:00,37.479,37.556,37.472,27.79,27.78,-99999.0,27.76,27.8,283.70001,5.7 -7,2019-01-08 12:00:00+00:00,37.511,37.581,37.492,27.71,27.66,-99999.0,27.61,27.7,300.5,5.3 -8,2019-01-09 12:00:00+00:00,37.578,37.653,37.568,27.7,27.66,-99999.0,27.62,27.7,294.20001,5.2 -9,2019-01-10 12:00:00+00:00,37.587,37.662,37.58,27.7,27.65,-99999.0,27.62,27.69,286.39999,5.4 -10,2019-01-11 12:00:00+00:00,37.574,37.648,37.566,27.72,27.63,-99999.0,27.59,27.69,299.10001,4.2 -11,2019-01-12 12:00:00+00:00,37.577,37.649,37.565,27.79,27.67,-99999.0,27.62,27.74,293.10001,4.0 -12,2019-01-13 12:00:00+00:00,37.592,37.664,37.576,27.89,27.75,-99999.0,27.68,27.83,295.10001,4.2 -13,2019-01-14 12:00:00+00:00,37.604,37.675,37.588,27.97,27.77,-99999.0,27.74,27.85,293.10001,4.0 -14,2019-01-15 12:00:00+00:00,37.609,37.684,37.597,27.99,27.82,-99999.0,27.78,27.9,272.60001,4.2 -15,2019-01-16 12:00:00+00:00,37.6,37.682,37.598,27.98,27.87,-99999.0,27.83,27.94,268.79999,4.3 -16,2019-01-17 12:00:00+00:00,37.609,37.685,37.598,28.0,27.94,-99999.0,27.88,27.99,267.79999,4.5 -17,2019-01-18 12:00:00+00:00,37.609,37.686,37.598,28.09,27.96,-99999.0,27.89,28.04,278.89999,4.2 -18,2019-01-19 12:00:00+00:00,37.607,37.681,37.595,28.23,27.99,-99999.0,27.94,28.05,269.60001,3.7 -19,2019-01-20 12:00:00+00:00,37.608,37.686,37.599,28.12,28.04,-99999.0,27.98,28.09,255.0,4.0 -20,2019-01-21 12:00:00+00:00,37.601,37.683,37.601,28.09,28.07,-99999.0,28.04,28.09,268.20001,4.9 -21,2019-01-22 12:00:00+00:00,37.604,37.684,37.598,28.13,28.09,-99999.0,28.05,28.13,273.60001,4.9 -22,2019-01-23 12:00:00+00:00,37.596,37.682,37.601,28.19,28.14,-99999.0,28.11,28.17,271.39999,4.4 -23,2019-01-24 12:00:00+00:00,37.605,37.683,37.595,28.26,28.17,-99999.0,28.14,28.23,270.20001,4.5 -24,2019-01-25 12:00:00+00:00,37.606,37.678,37.598,28.46,28.22,-99999.0,28.2,28.3,286.20001,3.6 -25,2019-01-26 12:00:00+00:00,37.541,37.614,37.52,28.27,28.22,-99999.0,28.18,28.26,267.39999,5.1 -26,2019-01-27 12:00:00+00:00,37.556,37.638,37.549,28.23,28.21,-99999.0,28.18,28.23,275.20001,5.8 -27,2019-01-28 12:00:00+00:00,37.599,37.68,37.591,28.3,28.26,-99999.0,28.22,28.3,297.29999,5.3 -28,2019-01-29 12:00:00+00:00,37.54,37.617,37.531,28.34,28.2,-99999.0,28.19,28.29,304.60001,4.4 -29,2019-01-30 12:00:00+00:00,37.585,37.661,37.574,28.57,28.37,-99999.0,28.34,28.46,286.20001,3.6 -30,2019-01-31 12:00:00+00:00,37.608,37.679,37.589,28.66,28.48,-99999.0,28.43,28.58,274.10001,3.6 -31,2019-02-01 12:00:00+00:00,37.577,37.652,37.562,28.58,28.48,-99999.0,28.42,28.55,273.79999,4.5 -32,2019-02-02 12:00:00+00:00,37.576,37.656,37.568,28.64,28.55,-99999.0,28.51,28.61,266.89999,4.7 -33,2019-02-03 12:00:00+00:00,37.598,37.68,37.592,28.85,28.6,-99999.0,28.58,28.67,242.39999,3.4 -34,2019-02-04 12:00:00+00:00,37.618,37.707,37.618,28.77,28.71,-99999.0,28.66,28.77,174.39999,2.8 -35,2019-02-05 12:00:00+00:00,37.641,37.722,37.63,28.85,28.78,-99999.0,28.74,28.83,180.39999,2.7 -36,2019-02-06 12:00:00+00:00,37.65,37.729,37.639,28.98,28.79,-99999.0,28.76,28.87,180.39999,2.7 -37,2019-02-07 12:00:00+00:00,37.658,37.738,37.639,29.01,28.87,-99999.0,28.76,28.96,224.2,3.5 -38,2019-02-08 12:00:00+00:00,37.639,37.723,37.63,28.86,28.81,-99999.0,28.79,28.83,246.0,4.2 -39,2019-02-09 12:00:00+00:00,37.652,37.736,37.645,28.92,28.89,-99999.0,28.86,28.92,240.3,4.2 -40,2019-02-10 12:00:00+00:00,37.658,37.742,37.65,29.02,28.91,-99999.0,28.89,28.97,260.70001,4.1 -41,2019-02-11 12:00:00+00:00,37.652,37.727,37.63,29.14,28.92,-99999.0,28.88,28.96,272.60001,3.8 -42,2019-02-12 12:00:00+00:00,37.647,37.731,37.64,29.08,28.91,-99999.0,28.88,29.0,246.0,3.8 -43,2019-02-13 12:00:00+00:00,37.657,37.743,37.649,28.99,28.96,-99999.0,28.91,28.99,173.10001,3.0 -44,2019-02-14 12:00:00+00:00,37.626,37.72,37.629,28.95,28.95,-99999.0,28.93,28.96,144.7,3.3 -45,2019-02-15 12:00:00+00:00,37.565,37.649,37.557,29.03,28.99,-99999.0,28.94,29.03,111.0,1.7 -46,2019-02-16 12:00:00+00:00,37.573,37.66,37.566,29.06,29.04,-99999.0,29.01,29.06,184.60001,2.8 -47,2019-02-17 12:00:00+00:00,37.645,37.73,37.633,29.04,29.03,-99999.0,29.01,29.05,189.7,3.8 -48,2019-02-18 12:00:00+00:00,37.631,37.715,37.62,29.12,29.09,-99999.0,29.05,29.12,217.89999,3.6 -49,2019-02-19 12:00:00+00:00,37.615,37.701,37.612,29.41,29.12,-99999.0,29.11,29.18,212.3,2.4 -50,2019-02-20 12:00:00+00:00,37.582,37.678,37.592,29.51,29.2,-99999.0,29.13,29.33,197.2,2.4 -51,2019-02-21 12:00:00+00:00,37.549,37.658,37.601,29.78,29.29,-99999.0,29.18,29.4,279.70001,1.0 -52,2019-02-22 12:00:00+00:00,37.603,37.678,37.574,29.8,29.36,-99999.0,29.19,29.47,320.10001,3.1 -53,2019-02-23 12:00:00+00:00,37.571,37.657,37.539,30.04,29.46,-99999.0,29.25,29.61,342.29999,2.1 -54,2019-02-24 12:00:00+00:00,37.584,37.659,37.53,29.8,29.53,-99999.0,29.32,29.62,256.29999,2.5 -55,2019-02-25 12:00:00+00:00,37.556,37.639,37.53,30.18,29.59,-99999.0,29.38,29.77,225.39999,2.0 -56,2019-02-26 12:00:00+00:00,37.588,37.661,37.533,30.12,29.71,-99999.0,29.39,29.91,232.0,2.7 -57,2019-02-27 12:00:00+00:00,37.59,37.672,37.559,30.09,29.71,-99999.0,29.52,29.84,236.5,2.7 -58,2019-02-28 12:00:00+00:00,37.587,37.676,37.561,29.89,29.83,-99999.0,29.5,29.89,238.60001,4.8 -59,2019-03-01 12:00:00+00:00,37.595,37.684,37.595,29.86,29.81,-99999.0,29.58,29.86,251.2,4.6 -60,2019-03-02 12:00:00+00:00,37.615,37.704,37.627,29.78,29.71,-99999.0,29.6,29.75,280.39999,4.8 -61,2019-03-03 12:00:00+00:00,37.577,37.666,37.572,29.66,29.64,-99999.0,29.6,29.67,276.60001,5.2 -62,2019-03-04 12:00:00+00:00,37.546,37.637,37.545,29.59,29.6,-99999.0,29.6,29.6,255.89999,4.8 -63,2019-03-05 12:00:00+00:00,37.565,37.649,37.557,29.61,29.5,-99999.0,29.49,29.53,293.10001,4.0 -64,2019-03-06 12:00:00+00:00,37.582,37.662,37.568,29.54,29.45,-99999.0,29.43,29.51,303.10001,4.2 -65,2019-03-07 12:00:00+00:00,37.594,37.68,37.586,29.52,29.49,-99999.0,29.46,29.52,298.60001,4.5 -66,2019-03-08 12:00:00+00:00,37.582,37.669,37.574,29.5,29.48,-99999.0,29.45,29.51,253.8,4.6 -67,2019-03-09 12:00:00+00:00,37.595,37.679,37.584,29.82,29.46,-99999.0,29.45,29.5,264.39999,2.8 -68,2019-03-10 12:00:00+00:00,37.626,37.706,37.61,30.0,29.55,-99999.0,29.52,29.61,301.0,2.7 -69,2019-03-11 12:00:00+00:00,37.655,37.741,37.642,29.72,29.64,-99999.0,29.59,29.7,238.39999,3.2 -70,2019-03-12 12:00:00+00:00,37.654,37.739,37.642,29.86,29.63,-99999.0,29.6,29.66,232.0,2.7 -71,2019-03-13 12:00:00+00:00,37.649,37.738,37.64,29.88,29.65,-99999.0,29.6,29.74,241.89999,3.0 -72,2019-03-14 12:00:00+00:00,37.668,37.756,37.658,29.76,29.69,-99999.0,29.64,29.74,240.0,4.0 -73,2019-03-15 12:00:00+00:00,37.678,37.766,37.668,29.73,29.66,-99999.0,29.63,29.7,217.7,3.2 -74,2019-03-16 12:00:00+00:00,37.69,37.767,37.671,29.9,29.62,-99999.0,29.6,29.66,222.0,2.2 -75,2019-03-17 12:00:00+00:00,37.679,37.776,37.675,30.0,29.71,-99999.0,29.64,29.83,216.3,1.9 -76,2019-03-18 12:00:00+00:00,37.704,37.79,37.682,29.99,29.83,-99999.0,29.71,29.9,142.0,1.9 -77,2019-03-19 12:00:00+00:00,37.71,37.798,37.688,29.96,29.87,-99999.0,29.74,29.91,125.0,2.6 -78,2019-03-20 12:00:00+00:00,37.709,37.801,37.703,29.86,29.85,-99999.0,29.82,29.87,152.2,3.2 -79,2019-03-21 12:00:00+00:00,37.658,37.783,37.7,29.79,29.8,-99999.0,29.79,29.81,114.0,2.9 -80,2019-03-22 12:00:00+00:00,37.676,37.767,37.677,30.08,29.78,-99999.0,29.78,29.81,336.0,1.9 -81,2019-03-23 12:00:00+00:00,37.579,37.755,37.668,29.72,29.73,-99999.0,29.73,29.74,277.60001,3.3 -82,2019-03-24 12:00:00+00:00,37.44,37.588,37.61,29.48,29.53,-99999.0,29.65,29.5,241.0,4.8 -83,2019-03-25 12:00:00+00:00,37.431,37.526,37.434,29.42,29.43,-99999.0,29.44,29.43,240.10001,5.9 -84,2019-03-26 12:00:00+00:00,37.487,37.577,37.481,29.45,29.45,-99999.0,29.43,29.46,205.10001,4.2 -85,2019-03-27 12:00:00+00:00,37.509,37.601,37.507,29.51,29.47,-99999.0,29.44,29.51,201.0,3.3 -86,2019-03-28 12:00:00+00:00,37.513,37.616,37.527,29.91,29.52,-99999.0,29.5,29.55,201.0,0.9 -87,2019-03-29 12:00:00+00:00,37.473,37.561,37.462,29.77,29.53,-99999.0,29.49,29.58,11.5,2.0 -88,2019-03-30 12:00:00+00:00,37.496,37.578,37.484,29.67,29.5,-99999.0,29.49,29.55,349.0,2.9 -89,2019-03-31 12:00:00+00:00,37.502,37.587,37.494,29.75,29.51,-99999.0,29.49,29.56,345.5,2.7 -90,2019-04-01 12:00:00+00:00,37.484,37.568,37.475,29.52,29.47,-99999.0,29.45,29.52,356.60001,3.6 -91,2019-04-02 12:00:00+00:00,37.477,37.568,37.474,29.49,29.45,-99999.0,29.43,29.47,26.7,3.1 -92,2019-04-03 12:00:00+00:00,37.487,37.578,37.487,29.61,29.4,-99999.0,29.39,29.43,29.1,1.3 -93,2019-04-04 12:00:00+00:00,37.498,37.601,37.507,29.68,29.41,-99999.0,29.39,29.45,260.0,1.1 -94,2019-04-05 12:00:00+00:00,37.529,37.613,37.52,29.55,29.43,-99999.0,29.41,29.46,269.20001,3.3 -95,2019-04-06 12:00:00+00:00,37.582,37.678,37.588,29.44,29.42,-99999.0,29.41,29.44,249.0,4.0 -96,2019-04-07 12:00:00+00:00,37.597,37.694,37.6,29.43,29.39,-99999.0,29.37,29.42,255.5,3.9 -97,2019-04-08 12:00:00+00:00,37.599,37.691,37.593,29.42,29.39,-99999.0,29.36,29.43,263.39999,3.6 -98,2019-04-09 12:00:00+00:00,37.617,37.705,37.607,29.49,29.4,-99999.0,29.39,29.44,242.2,3.2 -99,2019-04-10 12:00:00+00:00,37.609,37.698,37.603,29.52,29.39,-99999.0,29.37,29.45,226.0,2.6 -100,2019-04-11 12:00:00+00:00,37.6,37.693,37.602,29.43,29.38,-99999.0,29.37,29.41,236.5,1.5 -101,2019-04-12 12:00:00+00:00,37.566,37.653,37.561,29.62,29.36,-99999.0,29.35,29.39,212.3,1.0 -102,2019-04-13 12:00:00+00:00,37.568,37.654,37.556,29.53,29.42,-99999.0,29.37,29.48,239.7,2.1 -103,2019-04-14 12:00:00+00:00,37.579,37.669,37.574,29.51,29.44,-99999.0,29.43,29.49,255.5,2.7 -104,2019-04-15 12:00:00+00:00,37.617,37.712,37.615,29.59,29.49,-99999.0,29.46,29.52,285.29999,3.1 -105,2019-04-16 12:00:00+00:00,37.608,37.701,37.605,29.5,29.45,-99999.0,29.43,29.48,288.5,3.5 -106,2019-04-17 12:00:00+00:00,37.589,37.685,37.595,29.49,29.45,-99999.0,29.44,29.47,237.2,2.9 -107,2019-04-18 12:00:00+00:00,37.548,37.655,37.569,29.39,29.4,-99999.0,29.4,29.4,227.60001,2.8 -108,2019-04-19 12:00:00+00:00,37.545,37.645,37.551,29.32,29.33,-99999.0,29.33,29.34,216.60001,3.9 -109,2019-04-20 12:00:00+00:00,37.543,37.652,37.566,29.32,29.31,-99999.0,29.31,29.32,242.39999,3.4 -110,2019-04-21 12:00:00+00:00,37.579,37.667,37.578,29.49,29.32,-99999.0,29.32,29.36,180.0,2.2 -111,2019-04-22 12:00:00+00:00,37.569,37.659,37.564,29.41,29.33,-99999.0,29.31,29.38,250.39999,2.9 -112,2019-04-23 12:00:00+00:00,37.612,37.709,37.615,29.41,29.41,-99999.0,29.4,29.42,271.39999,4.4 -113,2019-04-24 12:00:00+00:00,37.601,37.697,37.602,29.34,29.35,-99999.0,29.35,29.36,301.0,5.0 -114,2019-04-25 12:00:00+00:00,37.569,37.665,37.563,29.28,29.28,-99999.0,29.26,29.29,289.39999,5.1 -115,2019-04-26 12:00:00+00:00,37.577,37.673,37.578,29.28,29.26,-99999.0,29.26,29.29,285.10001,4.3 -116,2019-04-27 12:00:00+00:00,37.552,37.651,37.556,29.28,29.21,-99999.0,29.21,29.24,293.5,3.5 -117,2019-04-28 12:00:00+00:00,37.547,37.64,37.543,29.36,29.18,-99999.0,29.18,29.2,227.60001,2.2 -118,2019-04-29 12:00:00+00:00,37.565,37.662,37.565,29.2,29.21,-99999.0,29.21,29.21,150.0,4.0 -119,2019-04-30 12:00:00+00:00,37.573,37.669,37.57,29.17,29.18,-99999.0,29.18,29.18,78.5,2.1 -120,2019-05-01 12:00:00+00:00,37.538,37.632,37.532,29.06,29.05,-99999.0,29.03,29.07,322.0,5.1 -121,2019-05-02 12:00:00+00:00,37.552,37.645,37.546,29.14,29.04,-99999.0,29.03,29.07,311.20001,3.1 -122,2019-05-03 12:00:00+00:00,37.532,37.627,37.529,29.01,28.99,-99999.0,28.98,29.01,312.0,4.1 -123,2019-05-04 12:00:00+00:00,37.511,37.604,37.505,29.01,28.9,-99999.0,28.9,28.93,301.29999,3.4 -124,2019-05-05 12:00:00+00:00,37.507,37.606,37.509,28.95,28.91,-99999.0,28.9,28.94,293.29999,3.7 -125,2019-05-06 12:00:00+00:00,37.488,37.597,37.512,28.88,28.9,-99999.0,28.91,28.9,257.29999,3.3 -126,2019-05-07 12:00:00+00:00,37.44,37.539,37.447,28.81,28.78,-99999.0,28.78,28.8,156.0,2.6 -127,2019-05-08 12:00:00+00:00,37.413,37.508,37.412,28.68,28.68,-99999.0,28.68,28.69,33.5,2.9 -128,2019-05-09 12:00:00+00:00,37.424,37.517,37.417,28.57,28.59,-99999.0,28.6,28.59,330.29999,6.1 -129,2019-05-10 12:00:00+00:00,37.387,37.481,37.381,28.41,28.42,-99999.0,28.43,28.43,315.0,5.7 -130,2019-05-11 12:00:00+00:00,37.291,37.382,37.283,28.19,28.19,-99999.0,28.19,28.2,292.60001,5.4 -131,2019-05-12 12:00:00+00:00,37.31,37.403,37.305,28.14,28.15,-99999.0,28.15,28.15,282.0,5.6 -132,2019-05-13 12:00:00+00:00,37.339,37.427,37.328,28.21,28.15,-99999.0,28.14,28.17,284.20001,3.8 -133,2019-05-14 12:00:00+00:00,37.363,37.451,37.352,28.37,28.16,-99999.0,28.15,28.19,319.29999,2.4 -134,2019-05-15 12:00:00+00:00,37.304,37.408,37.31,28.44,28.14,-99999.0,28.13,28.17,299.10001,1.3 -135,2019-05-16 12:00:00+00:00,37.329,37.418,37.319,28.23,28.17,-99999.0,28.16,28.21,284.70001,2.8 -136,2019-05-17 12:00:00+00:00,37.341,37.431,37.332,28.17,28.17,-99999.0,28.17,28.18,274.60001,2.8 -137,2019-05-18 12:00:00+00:00,37.308,37.421,37.324,28.09,28.12,-99999.0,28.13,28.12,277.39999,4.4 -138,2019-05-19 12:00:00+00:00,37.297,37.398,37.304,28.02,28.04,-99999.0,28.05,28.04,277.79999,5.1 -139,2019-05-20 12:00:00+00:00,37.321,37.415,37.314,28.08,28.07,-99999.0,28.05,28.08,181.0,3.5 -140,2019-05-21 12:00:00+00:00,37.297,37.432,37.346,28.1,28.13,-99999.0,28.13,28.13,210.5,2.0 -141,2019-05-22 12:00:00+00:00,37.211,37.343,37.285,27.99,27.92,-99999.0,27.97,27.9,47.6,1.6 -142,2019-05-23 12:00:00+00:00,37.218,37.329,37.277,27.88,27.89,-99999.0,27.95,27.87,332.20001,3.2 -143,2019-05-24 12:00:00+00:00,37.271,37.353,37.255,27.85,27.84,-99999.0,27.83,27.85,305.0,2.6 -144,2019-05-25 12:00:00+00:00,37.263,37.345,37.249,27.81,27.81,-99999.0,27.8,27.82,201.0,4.2 -145,2019-05-26 12:00:00+00:00,37.255,37.35,37.253,27.86,27.79,-99999.0,27.79,27.83,204.0,2.9 -146,2019-05-27 12:00:00+00:00,37.264,37.351,37.257,27.87,27.81,-99999.0,27.8,27.86,275.10001,2.3 -147,2019-05-28 12:00:00+00:00,37.281,37.362,37.269,27.79,27.8,-99999.0,27.81,27.81,277.0,4.8 -148,2019-05-29 12:00:00+00:00,37.337,37.416,37.313,27.94,27.92,-99999.0,27.89,27.94,263.5,4.2 -149,2019-05-30 12:00:00+00:00,37.291,37.373,37.274,27.85,27.79,-99999.0,27.79,27.82,260.0,2.7 -150,2019-05-31 12:00:00+00:00,37.313,37.393,37.294,27.82,27.83,-99999.0,27.81,27.84,233.2,4.7 -151,2019-06-01 12:00:00+00:00,37.333,37.415,37.317,27.83,27.84,-99999.0,27.85,27.85,208.60001,4.5 -152,2019-06-02 12:00:00+00:00,37.36,37.436,37.344,27.88,27.84,-99999.0,27.83,27.86,224.2,3.5 -153,2019-06-03 12:00:00+00:00,37.399,37.471,37.379,27.81,27.82,-99999.0,27.83,27.83,233.2,4.7 -154,2019-06-04 12:00:00+00:00,37.435,37.508,37.414,27.81,27.82,-99999.0,27.82,27.83,185.10001,4.3 -155,2019-06-05 12:00:00+00:00,37.495,37.571,37.472,27.85,27.87,-99999.0,27.87,27.87,3.4,6.6 -156,2019-06-06 12:00:00+00:00,37.483,37.557,37.459,27.67,27.69,-99999.0,27.69,27.69,337.60001,7.2 -157,2019-06-07 12:00:00+00:00,37.427,37.497,37.401,27.37,27.39,-99999.0,27.39,27.39,316.10001,7.7 -158,2019-06-08 12:00:00+00:00,37.44,37.506,37.409,27.26,27.28,-99999.0,27.28,27.28,284.29999,5.0 -159,2019-06-09 12:00:00+00:00,37.401,37.472,37.379,27.15,27.16,-99999.0,27.17,27.17,279.70001,3.1 -160,2019-06-10 12:00:00+00:00,37.347,37.415,37.32,26.99,27.0,-99999.0,27.01,27.0,304.0,7.6 -161,2019-06-11 12:00:00+00:00,37.329,37.398,37.304,26.89,26.9,-99999.0,26.91,26.9,287.79999,7.5 -162,2019-06-12 12:00:00+00:00,37.341,37.409,37.314,26.86,26.87,-99999.0,26.88,26.88,286.0,6.6 -163,2019-06-13 12:00:00+00:00,37.32,37.386,37.293,26.73,26.74,-99999.0,26.75,26.74,287.5,7.0 -164,2019-06-14 12:00:00+00:00,37.332,37.394,37.299,26.69,26.7,-99999.0,26.7,26.71,292.39999,5.9 -165,2019-06-15 12:00:00+00:00,37.321,37.379,37.286,26.59,26.6,-99999.0,26.61,26.6,293.60001,6.3 -166,2019-06-16 12:00:00+00:00,37.344,37.402,37.308,26.57,26.59,-99999.0,26.59,26.59,307.70001,6.0 -167,2019-06-17 12:00:00+00:00,37.375,37.433,37.342,26.57,26.59,-99999.0,26.59,26.59,316.20001,5.4 -168,2019-06-18 12:00:00+00:00,37.37,37.426,37.335,26.51,26.52,-99999.0,26.53,26.53,316.79999,5.0 -169,2019-06-19 12:00:00+00:00,37.387,37.445,37.354,26.5,26.51,-99999.0,26.51,26.51,304.20001,5.1 -170,2019-06-20 12:00:00+00:00,37.372,37.427,37.336,26.49,26.49,-99999.0,26.49,26.5,291.0,4.4 -171,2019-06-21 12:00:00+00:00,37.366,37.423,37.333,26.46,26.48,-99999.0,26.49,26.48,323.0,5.5 -172,2019-06-22 12:00:00+00:00,37.354,37.412,37.323,26.41,26.43,-99999.0,26.43,26.43,308.70001,7.0 -173,2019-06-23 12:00:00+00:00,37.353,37.409,37.319,26.34,26.36,-99999.0,26.36,26.36,298.79999,6.4 -174,2019-06-24 12:00:00+00:00,37.37,37.427,37.338,26.42,26.33,-99999.0,26.33,26.36,277.0,2.6 -175,2019-06-25 12:00:00+00:00,37.342,37.397,37.31,26.28,26.28,-99999.0,26.27,26.29,257.29999,3.3 -176,2019-06-26 12:00:00+00:00,37.341,37.398,37.312,26.27,26.26,-99999.0,26.26,26.27,270.0,4.1 -177,2019-06-27 12:00:00+00:00,37.336,37.39,37.298,26.24,26.25,-99999.0,26.25,26.25,268.20001,4.9 -178,2019-06-28 12:00:00+00:00,37.352,37.405,37.313,26.23,26.25,-99999.0,26.26,26.25,296.39999,6.1 -179,2019-06-29 12:00:00+00:00,37.382,37.437,37.342,26.26,26.27,-99999.0,26.28,26.28,295.79999,6.9 -180,2019-06-30 12:00:00+00:00,37.475,37.528,37.431,26.43,26.44,-99999.0,26.45,26.45,288.10001,5.8 -181,2019-07-01 12:00:00+00:00,37.533,37.587,37.489,26.54,26.56,-99999.0,26.56,26.56,266.60001,5.3 -182,2019-07-02 12:00:00+00:00,37.539,37.593,37.494,26.56,26.56,-99999.0,26.56,26.57,222.0,4.1 -183,2019-07-03 12:00:00+00:00,37.542,37.595,37.497,26.54,26.55,-99999.0,26.55,26.55,212.3,4.5 -184,2019-07-04 12:00:00+00:00,37.54,37.595,37.496,26.52,26.53,-99999.0,26.54,26.54,207.7,5.0 -185,2019-07-05 12:00:00+00:00,37.55,37.608,37.509,26.57,26.58,-99999.0,26.58,26.58,204.0,5.5 -186,2019-07-06 12:00:00+00:00,37.531,37.604,37.512,26.59,26.6,-99999.0,26.59,26.61,180.8,3.1 -187,2019-07-07 12:00:00+00:00,37.537,37.597,37.501,26.51,26.53,-99999.0,26.54,26.53,358.60001,7.8 -188,2019-07-08 12:00:00+00:00,37.535,37.596,37.496,26.37,26.39,-99999.0,26.4,26.39,346.20001,8.0 -189,2019-07-09 12:00:00+00:00,37.51,37.563,37.467,26.2,26.22,-99999.0,26.23,26.22,324.29999,6.0 -190,2019-07-10 12:00:00+00:00,37.471,37.518,37.421,26.02,26.04,-99999.0,26.05,26.04,317.60001,6.4 -191,2019-07-11 12:00:00+00:00,37.442,37.489,37.393,25.91,25.93,-99999.0,25.93,25.93,287.39999,4.7 -192,2019-07-12 12:00:00+00:00,37.436,37.481,37.386,25.9,25.89,-99999.0,25.89,25.91,283.60001,3.5 -193,2019-07-13 12:00:00+00:00,37.419,37.467,37.372,25.89,25.84,-99999.0,25.84,25.86,265.60001,3.2 -194,2019-07-14 12:00:00+00:00,37.42,37.464,37.369,25.88,25.85,-99999.0,25.84,25.87,235.39999,3.5 -195,2019-07-15 12:00:00+00:00,37.484,37.526,37.423,26.08,26.03,-99999.0,26.0,26.06,203.5,3.5 -196,2019-07-16 12:00:00+00:00,37.46,37.507,37.407,25.92,25.94,-99999.0,25.93,25.94,188.3,4.7 -197,2019-07-17 12:00:00+00:00,37.455,37.504,37.408,25.84,25.86,-99999.0,25.87,25.86,18.9,4.0 -198,2019-07-18 12:00:00+00:00,37.423,37.475,37.381,25.67,25.69,-99999.0,25.7,25.69,340.60001,7.5 -199,2019-07-19 12:00:00+00:00,37.427,37.477,37.381,25.56,25.59,-99999.0,25.6,25.59,320.20001,8.1 -200,2019-07-20 12:00:00+00:00,37.451,37.506,37.412,25.5,25.52,-99999.0,25.53,25.52,301.89999,8.2 -201,2019-07-21 12:00:00+00:00,37.387,37.431,37.338,25.21,25.23,-99999.0,25.24,25.23,298.60001,8.6 -202,2019-07-22 12:00:00+00:00,37.393,37.436,37.342,25.15,25.17,-99999.0,25.18,25.17,294.89999,8.2 -203,2019-07-23 12:00:00+00:00,37.38,37.424,37.332,25.06,25.08,-99999.0,25.09,25.08,286.60001,7.4 -204,2019-07-24 12:00:00+00:00,37.341,37.382,37.291,24.9,24.92,-99999.0,24.93,24.92,285.60001,7.6 -205,2019-07-25 12:00:00+00:00,37.343,37.377,37.286,24.87,24.89,-99999.0,24.89,24.89,282.0,5.6 -206,2019-07-26 12:00:00+00:00,37.345,37.38,37.288,24.85,24.87,-99999.0,24.88,24.87,301.79999,6.2 -207,2019-07-27 12:00:00+00:00,37.408,37.443,37.352,25.0,25.01,-99999.0,25.01,25.02,306.79999,5.8 -208,2019-07-28 12:00:00+00:00,37.401,37.437,37.346,24.94,24.96,-99999.0,24.97,24.96,298.39999,6.6 -209,2019-07-29 12:00:00+00:00,37.387,37.42,37.329,24.87,24.89,-99999.0,24.89,24.89,297.0,5.5 -210,2019-07-30 12:00:00+00:00,37.361,37.395,37.305,24.8,24.81,-99999.0,24.81,24.82,289.5,5.6 -211,2019-07-31 12:00:00+00:00,37.349,37.383,37.293,24.87,24.78,-99999.0,24.77,24.82,227.60001,2.8 -212,2019-08-01 12:00:00+00:00,37.356,37.389,37.298,24.91,24.82,-99999.0,24.8,24.86,309.39999,2.5 -213,2019-08-02 12:00:00+00:00,37.348,37.381,37.295,24.82,24.81,-99999.0,24.79,24.83,271.39999,4.4 -214,2019-08-03 12:00:00+00:00,37.347,37.381,37.291,24.81,24.8,-99999.0,24.78,24.82,246.0,5.1 -215,2019-08-04 12:00:00+00:00,37.323,37.375,37.287,24.78,24.79,-99999.0,24.8,24.8,225.39999,2.0 -216,2019-08-05 12:00:00+00:00,37.343,37.387,37.292,24.78,24.79,-99999.0,24.8,24.8,295.60001,5.4 -217,2019-08-06 12:00:00+00:00,37.335,37.397,37.286,24.73,24.75,-99999.0,24.76,24.75,301.89999,7.5 -218,2019-08-07 12:00:00+00:00,37.323,37.386,37.273,24.67,24.69,-99999.0,24.7,24.69,308.20001,8.2 -219,2019-08-08 12:00:00+00:00,37.289,37.348,37.236,24.59,24.6,-99999.0,24.6,24.6,284.10001,6.0 -220,2019-08-09 12:00:00+00:00,37.248,37.304,37.193,24.47,24.49,-99999.0,24.49,24.49,281.29999,6.0 -221,2019-08-10 12:00:00+00:00,37.236,37.293,37.181,24.43,24.44,-99999.0,24.44,24.45,266.60001,5.3 -222,2019-08-11 12:00:00+00:00,37.243,37.3,37.187,24.44,24.44,-99999.0,24.43,24.45,259.0,5.5 -223,2019-08-12 12:00:00+00:00,37.263,37.32,37.208,24.49,24.49,-99999.0,24.48,24.5,285.79999,4.8 -224,2019-08-13 12:00:00+00:00,37.238,37.296,37.184,24.47,24.38,-99999.0,24.38,24.43,263.39999,3.6 -225,2019-08-14 12:00:00+00:00,37.206,37.291,37.18,24.51,24.42,-99999.0,24.38,24.43,254.10001,1.7 -226,2019-08-15 12:00:00+00:00,37.207,37.275,37.157,24.29,24.3,-99999.0,24.31,24.3,330.0,7.7 -227,2019-08-16 12:00:00+00:00,37.199,37.28,37.15,24.19,24.21,-99999.0,24.22,24.21,322.70001,7.8 -228,2019-08-17 12:00:00+00:00,37.204,37.28,37.148,24.17,24.19,-99999.0,24.19,24.19,293.70001,6.0 -229,2019-08-18 12:00:00+00:00,37.219,37.296,37.164,24.18,24.2,-99999.0,24.2,24.2,266.89999,4.7 -230,2019-08-19 12:00:00+00:00,37.238,37.313,37.18,24.29,24.25,-99999.0,24.23,24.29,209.8,3.9 -231,2019-08-20 12:00:00+00:00,37.227,37.303,37.17,24.39,24.32,-99999.0,24.28,24.37,238.89999,3.4 -232,2019-08-21 12:00:00+00:00,37.227,37.302,37.169,24.46,24.35,-99999.0,24.33,24.4,197.2,2.4 -233,2019-08-22 12:00:00+00:00,37.227,37.303,37.167,24.39,24.38,-99999.0,24.36,24.4,16.9,4.2 -234,2019-08-23 12:00:00+00:00,37.21,37.285,37.154,24.31,24.32,-99999.0,24.31,24.33,336.0,4.6 -235,2019-08-24 12:00:00+00:00,37.185,37.256,37.124,24.33,24.22,-99999.0,24.22,24.25,293.70001,3.2 -236,2019-08-25 12:00:00+00:00,37.23,37.304,37.17,24.39,24.33,-99999.0,24.33,24.37,317.60001,3.4 -237,2019-08-26 12:00:00+00:00,37.24,37.316,37.182,24.36,24.35,-99999.0,24.35,24.37,322.0,4.3 -238,2019-08-27 12:00:00+00:00,37.261,37.34,37.204,24.37,24.39,-99999.0,24.38,24.39,331.89999,5.7 -239,2019-08-28 12:00:00+00:00,37.288,37.37,37.234,24.45,24.46,-99999.0,24.46,24.47,318.39999,4.8 -240,2019-08-29 12:00:00+00:00,37.355,37.437,37.297,24.64,24.64,-99999.0,24.63,24.65,300.20001,4.6 -241,2019-08-30 12:00:00+00:00,37.364,37.447,37.307,24.66,24.68,-99999.0,24.67,24.68,285.29999,5.8 -242,2019-08-31 12:00:00+00:00,37.376,37.459,37.321,24.71,24.72,-99999.0,24.71,24.72,266.29999,5.9 -243,2019-09-01 12:00:00+00:00,37.372,37.457,37.318,24.71,24.72,-99999.0,24.71,24.73,256.5,5.6 -244,2019-09-02 12:00:00+00:00,37.364,37.448,37.31,24.74,24.71,-99999.0,24.69,24.75,251.2,4.6 -245,2019-09-03 12:00:00+00:00,37.363,37.448,37.308,24.72,24.73,-99999.0,24.71,24.74,252.60001,5.4 -246,2019-09-04 12:00:00+00:00,37.357,37.444,37.308,24.73,24.72,-99999.0,24.71,24.74,258.79999,4.7 -247,2019-09-05 12:00:00+00:00,37.325,37.417,37.281,24.84,24.66,-99999.0,24.66,24.69,278.5,2.9 -248,2019-09-06 12:00:00+00:00,37.308,37.395,37.256,24.62,24.62,-99999.0,24.61,24.63,325.5,5.6 -249,2019-09-07 12:00:00+00:00,37.253,37.348,37.2,24.38,24.41,-99999.0,24.42,24.4,311.70001,6.9 -250,2019-09-08 12:00:00+00:00,37.244,37.346,37.19,24.33,24.35,-99999.0,24.35,24.35,299.79999,6.5 -251,2019-09-09 12:00:00+00:00,37.262,37.367,37.21,24.36,24.38,-99999.0,24.38,24.38,285.29999,5.8 -252,2019-09-10 12:00:00+00:00,37.263,37.368,37.207,24.36,24.37,-99999.0,24.36,24.38,275.5,5.4 -253,2019-09-11 12:00:00+00:00,37.269,37.376,37.216,24.38,24.39,-99999.0,24.39,24.4,266.60001,5.3 -254,2019-09-12 12:00:00+00:00,37.258,37.366,37.208,24.44,24.41,-99999.0,24.38,24.44,253.10001,5.0 -255,2019-09-13 12:00:00+00:00,37.253,37.36,37.201,24.47,24.42,-99999.0,24.39,24.46,251.39999,4.4 -256,2019-09-14 12:00:00+00:00,37.252,37.358,37.198,24.66,24.45,-99999.0,24.43,24.5,281.5,3.6 -257,2019-09-15 12:00:00+00:00,37.258,37.363,37.197,24.68,24.54,-99999.0,24.45,24.63,296.20001,3.3 -258,2019-09-16 12:00:00+00:00,37.252,37.361,37.2,24.6,24.52,-99999.0,24.49,24.58,283.39999,4.5 -259,2019-09-17 12:00:00+00:00,37.253,37.361,37.198,24.55,24.53,-99999.0,24.49,24.56,253.10001,5.0 -260,2019-09-18 12:00:00+00:00,37.262,37.373,37.21,24.57,24.58,-99999.0,24.56,24.59,233.0,5.5 -261,2019-09-19 12:00:00+00:00,37.291,37.403,37.239,24.64,24.65,-99999.0,24.66,24.66,248.0,5.9 -262,2019-09-20 12:00:00+00:00,37.357,37.471,37.304,24.89,24.83,-99999.0,24.82,24.86,251.0,4.8 -263,2019-09-21 12:00:00+00:00,37.334,37.447,37.283,24.71,24.72,-99999.0,24.72,24.73,259.5,5.3 -264,2019-09-22 12:00:00+00:00,37.324,37.441,37.275,24.75,24.71,-99999.0,24.68,24.75,259.39999,4.5 -265,2019-09-23 12:00:00+00:00,37.293,37.417,37.247,25.02,24.7,-99999.0,24.64,24.73,317.60001,2.8 -266,2019-09-24 12:00:00+00:00,37.278,37.393,37.23,24.52,24.54,-99999.0,24.55,24.54,327.89999,8.5 -267,2019-09-25 12:00:00+00:00,37.263,37.377,37.215,24.44,24.46,-99999.0,24.46,24.46,306.89999,6.3 -268,2019-09-26 12:00:00+00:00,37.25,37.367,37.203,24.5,24.46,-99999.0,24.43,24.5,277.0,4.8 -269,2019-09-27 12:00:00+00:00,37.255,37.371,37.205,24.5,24.5,-99999.0,24.47,24.51,218.3,4.9 -270,2019-09-28 12:00:00+00:00,37.261,37.377,37.212,24.77,24.52,-99999.0,24.52,24.61,171.3,2.5 -271,2019-09-29 12:00:00+00:00,37.246,37.379,37.211,25.16,24.59,-99999.0,24.54,24.77,306.89999,2.3 -272,2019-09-30 12:00:00+00:00,37.263,37.386,37.214,24.9,24.72,-99999.0,24.57,24.89,317.60001,4.6 -273,2019-10-01 12:00:00+00:00,37.322,37.443,37.273,24.81,24.81,-99999.0,24.76,24.83,333.5,4.8 -274,2019-10-02 12:00:00+00:00,37.293,37.422,37.26,24.73,24.75,-99999.0,24.75,24.75,265.29999,4.4 -275,2019-10-03 12:00:00+00:00,37.359,37.481,37.311,24.83,24.85,-99999.0,24.85,24.85,256.89999,5.4 -276,2019-10-04 12:00:00+00:00,37.374,37.504,37.334,24.91,24.92,-99999.0,24.93,24.93,278.20001,6.5 -277,2019-10-05 12:00:00+00:00,37.389,37.515,37.343,24.95,24.97,-99999.0,24.98,24.97,276.0,6.1 -278,2019-10-06 12:00:00+00:00,37.396,37.524,37.352,24.99,25.0,-99999.0,25.0,25.0,264.39999,5.8 -279,2019-10-07 12:00:00+00:00,37.403,37.531,37.359,25.09,25.07,-99999.0,25.04,25.1,257.79999,5.0 -280,2019-10-08 12:00:00+00:00,37.408,37.536,37.363,25.18,25.18,-99999.0,25.12,25.19,254.8,5.4 -281,2019-10-09 12:00:00+00:00,37.406,37.535,37.36,25.29,25.26,-99999.0,25.21,25.3,255.89999,4.8 -282,2019-10-10 12:00:00+00:00,37.403,37.533,37.358,25.35,25.32,-99999.0,25.28,25.36,267.79999,4.5 -283,2019-10-11 12:00:00+00:00,37.403,37.534,37.36,25.34,25.32,-99999.0,25.29,25.35,282.0,5.6 -284,2019-10-12 12:00:00+00:00,37.407,37.539,37.364,25.35,25.31,-99999.0,25.3,25.35,281.5,5.3 -285,2019-10-13 12:00:00+00:00,37.404,37.537,37.362,25.33,25.35,-99999.0,25.34,25.35,275.20001,5.8 -286,2019-10-14 12:00:00+00:00,37.403,37.538,37.361,25.37,25.37,-99999.0,25.36,25.39,260.0,5.9 -287,2019-10-15 12:00:00+00:00,37.4,37.534,37.358,25.48,25.43,-99999.0,25.42,25.47,261.89999,4.5 -288,2019-10-16 12:00:00+00:00,37.4,37.536,37.36,25.5,25.47,-99999.0,25.45,25.51,286.10001,5.1 -289,2019-10-17 12:00:00+00:00,37.404,37.53,37.356,25.65,25.5,-99999.0,25.5,25.56,284.70001,4.0 -290,2019-10-18 12:00:00+00:00,37.4,37.534,37.357,25.73,25.58,-99999.0,25.56,25.63,270.79999,3.1 -291,2019-10-19 12:00:00+00:00,37.35,37.487,37.311,25.85,25.68,-99999.0,25.65,25.77,182.60001,2.9 -292,2019-10-20 12:00:00+00:00,37.334,37.476,37.299,25.87,25.85,-99999.0,25.72,25.88,129.39999,4.2 -293,2019-10-21 12:00:00+00:00,37.352,37.489,37.311,25.94,25.81,-99999.0,25.79,25.86,6.3,3.0 -294,2019-10-22 12:00:00+00:00,37.351,37.492,37.308,25.84,25.84,-99999.0,25.8,25.85,183.89999,4.0 -295,2019-10-23 12:00:00+00:00,37.355,37.501,37.319,25.8,25.78,-99999.0,25.76,25.81,173.5,4.2 -296,2019-10-24 12:00:00+00:00,37.105,37.511,37.332,25.76,25.74,-99999.0,25.64,25.77,189.7,1.7 -297,2019-10-25 12:00:00+00:00,-9999.0,-9999.0,-9999.0,-9999.0,-9999.0,-99999.0,-9999.0,-9999.0,-9999.0,-99999.0 -298,2019-10-26 12:00:00+00:00,-9999.0,-9999.0,-9999.0,-9999.0,-9999.0,-99999.0,-9999.0,-9999.0,-9999.0,-99999.0 -299,2019-10-27 12:00:00+00:00,37.316,37.314,37.38,26.01,25.78,-99999.0,25.57,25.88,269.20001,3.2 -300,2019-10-28 12:00:00+00:00,37.338,37.328,37.384,25.98,25.88,-99999.0,25.51,25.96,286.10001,5.1 -301,2019-10-29 12:00:00+00:00,37.365,37.344,37.386,25.96,25.93,-99999.0,25.68,25.95,278.5,5.3 -302,2019-10-30 12:00:00+00:00,37.391,37.366,37.398,25.99,25.96,-99999.0,25.79,25.98,259.39999,4.5 -303,2019-10-31 12:00:00+00:00,37.407,37.381,37.406,26.13,26.0,-99999.0,25.83,26.07,261.29999,4.7 -304,2019-11-01 12:00:00+00:00,37.391,37.385,37.409,26.48,25.96,-99999.0,25.85,25.99,233.5,2.1 -305,2019-11-02 12:00:00+00:00,37.421,37.391,37.416,26.16,26.03,-99999.0,25.9,26.11,319.5,5.7 -306,2019-11-03 12:00:00+00:00,37.415,37.391,37.423,25.89,25.89,-99999.0,25.87,25.89,292.20001,6.9 -307,2019-11-04 12:00:00+00:00,37.405,37.381,37.414,25.97,25.95,-99999.0,25.88,25.96,182.60001,5.5 -308,2019-11-05 12:00:00+00:00,37.404,37.379,37.41,26.09,26.04,-99999.0,25.92,26.08,175.2,5.0 -309,2019-11-06 12:00:00+00:00,37.404,37.379,37.411,26.18,26.08,-99999.0,26.02,26.15,199.0,4.2 -310,2019-11-07 12:00:00+00:00,37.412,37.379,37.412,26.62,26.16,-99999.0,26.09,26.21,182.60001,2.0 -311,2019-11-08 12:00:00+00:00,37.431,37.38,37.412,26.88,26.21,-99999.0,26.1,26.41,214.0,2.1 -312,2019-11-09 12:00:00+00:00,37.441,37.385,37.414,26.87,26.34,-99999.0,26.15,26.7,263.39999,3.5 -313,2019-11-10 12:00:00+00:00,37.436,37.402,37.414,26.76,26.58,-99999.0,26.19,26.7,249.2,3.8 -314,2019-11-11 12:00:00+00:00,37.443,37.415,37.42,26.79,26.66,-99999.0,26.29,26.74,227.60001,3.4 -315,2019-11-12 12:00:00+00:00,37.435,37.422,37.418,27.08,26.76,-99999.0,26.29,26.83,323.0,2.9 -316,2019-11-13 12:00:00+00:00,37.439,37.413,37.443,26.69,26.69,-99999.0,26.58,26.69,320.5,7.5 -317,2019-11-14 12:00:00+00:00,37.397,37.374,37.415,26.55,26.47,-99999.0,26.45,26.52,318.10001,6.5 -318,2019-11-15 12:00:00+00:00,37.41,37.391,37.435,26.65,26.61,-99999.0,26.54,26.64,195.10001,4.3 -319,2019-11-16 12:00:00+00:00,37.421,37.392,37.423,26.61,26.6,-99999.0,26.56,26.61,166.3,4.6 -320,2019-11-17 12:00:00+00:00,37.417,37.388,37.419,26.73,26.61,-99999.0,26.55,26.63,193.60001,3.5 -321,2019-11-18 12:00:00+00:00,37.416,37.397,37.429,26.92,26.69,-99999.0,26.63,26.73,295.39999,2.1 -322,2019-11-19 12:00:00+00:00,37.407,37.388,37.425,26.86,26.7,-99999.0,26.63,26.77,286.60001,3.9 -323,2019-11-20 12:00:00+00:00,37.438,37.408,37.445,26.98,26.9,-99999.0,26.8,26.93,320.10001,3.1 -324,2019-11-21 12:00:00+00:00,37.425,37.394,37.432,26.76,26.76,-99999.0,26.75,26.76,311.60001,7.2 -325,2019-11-22 12:00:00+00:00,37.402,37.376,37.417,26.79,26.74,-99999.0,26.74,26.76,284.70001,4.0 -326,2019-11-23 12:00:00+00:00,37.408,37.377,37.41,26.85,26.81,-99999.0,26.76,26.84,201.0,4.1 -327,2019-11-24 12:00:00+00:00,37.444,37.413,37.452,26.9,26.9,-99999.0,26.9,26.9,87.8,5.5 -328,2019-11-25 12:00:00+00:00,37.412,37.381,37.418,26.61,26.61,-99999.0,26.61,26.61,357.5,7.1 -329,2019-11-26 12:00:00+00:00,37.429,37.398,37.434,26.54,26.53,-99999.0,26.52,26.54,337.89999,6.1 -330,2019-11-27 12:00:00+00:00,37.407,37.376,37.414,26.34,26.34,-99999.0,26.34,26.34,312.5,5.1 -331,2019-11-28 12:00:00+00:00,37.433,37.402,37.441,26.4,26.39,-99999.0,26.37,26.4,265.60001,6.0 -332,2019-11-29 12:00:00+00:00,37.455,37.423,37.46,26.61,26.56,-99999.0,26.5,26.59,241.39999,5.1 -333,2019-11-30 12:00:00+00:00,37.455,37.424,37.464,26.63,26.63,-99999.0,26.59,26.63,231.5,5.7 -334,2019-12-01 12:00:00+00:00,37.421,37.39,37.432,26.69,26.67,-99999.0,26.63,26.68,207.89999,5.9 -335,2019-12-02 12:00:00+00:00,37.406,37.376,37.415,26.73,26.72,-99999.0,26.7,26.73,145.89999,5.8 -336,2019-12-03 12:00:00+00:00,37.304,37.336,37.385,26.68,26.71,-99999.0,26.72,26.69,8.9,4.2 -337,2019-12-04 12:00:00+00:00,37.393,37.363,37.402,26.62,26.62,-99999.0,26.62,26.62,332.89999,7.4 -338,2019-12-05 12:00:00+00:00,37.356,37.344,37.39,26.61,26.6,-99999.0,26.6,26.61,238.89999,1.9 -339,2019-12-06 12:00:00+00:00,37.412,37.379,37.417,26.64,26.62,-99999.0,26.6,26.63,199.5,5.6 -340,2019-12-07 12:00:00+00:00,37.381,37.355,37.412,26.81,26.72,-99999.0,26.66,26.78,145.2,4.4 -341,2019-12-08 12:00:00+00:00,37.366,37.336,37.414,27.23,26.87,-99999.0,26.71,26.94,241.2,2.6 -342,2019-12-09 12:00:00+00:00,37.301,37.309,37.39,27.36,26.96,-99999.0,26.78,27.26,213.5,2.8 -343,2019-12-10 12:00:00+00:00,37.27,37.266,37.361,27.26,27.05,-99999.0,26.82,27.2,267.20001,4.0 -344,2019-12-11 12:00:00+00:00,37.297,37.253,37.338,27.35,27.08,-99999.0,26.81,27.24,287.39999,4.7 -345,2019-12-12 12:00:00+00:00,37.258,37.273,37.298,27.27,27.19,-99999.0,26.96,27.21,279.20001,6.3 -346,2019-12-13 12:00:00+00:00,-9999.0,37.298,37.324,-9999.0,27.13,-99999.0,27.0,27.15,272.60001,6.3 -347,2019-12-14 12:00:00+00:00,-9999.0,37.329,37.366,-9999.0,27.18,-99999.0,27.14,27.2,294.60001,6.7 -348,2019-12-15 12:00:00+00:00,-9999.0,37.407,37.448,-9999.0,27.36,-99999.0,27.33,27.37,308.70001,7.0 -349,2019-12-16 12:00:00+00:00,-9999.0,37.42,37.462,-9999.0,27.38,-99999.0,27.36,27.39,291.0,7.1 -350,2019-12-17 12:00:00+00:00,-9999.0,37.428,37.47,-9999.0,27.38,-99999.0,27.34,27.39,274.29999,6.0 -351,2019-12-18 12:00:00+00:00,-9999.0,37.428,37.471,-9999.0,27.44,-99999.0,27.41,27.46,279.70001,5.8 -352,2019-12-19 12:00:00+00:00,-9999.0,37.426,37.472,-9999.0,27.48,-99999.0,27.44,27.49,271.70001,6.0 -353,2019-12-20 12:00:00+00:00,-9999.0,37.43,37.474,-9999.0,27.44,-99999.0,27.42,27.51,273.60001,4.8 -354,2019-12-21 12:00:00+00:00,-9999.0,37.432,37.477,-9999.0,27.49,-99999.0,27.45,27.53,281.20001,4.3 -355,2019-12-22 12:00:00+00:00,-9999.0,37.432,37.479,-9999.0,27.5,-99999.0,27.46,27.51,272.60001,6.3 -356,2019-12-23 12:00:00+00:00,-9999.0,37.438,37.483,-9999.0,27.49,-99999.0,27.48,27.49,267.5,7.1 -357,2019-12-24 12:00:00+00:00,-9999.0,37.444,37.491,-9999.0,27.45,-99999.0,27.44,27.47,265.79999,5.4 -358,2019-12-25 12:00:00+00:00,-9999.0,37.433,37.484,-9999.0,27.44,-99999.0,27.42,27.45,274.29999,6.0 -359,2019-12-26 12:00:00+00:00,-9999.0,37.448,37.496,-9999.0,27.44,-99999.0,27.42,27.45,294.60001,6.7 -360,2019-12-27 12:00:00+00:00,-9999.0,37.441,37.487,-9999.0,27.43,-99999.0,27.42,27.43,296.39999,6.0 -361,2019-12-28 12:00:00+00:00,-9999.0,37.445,37.491,-9999.0,27.44,-99999.0,27.41,27.48,308.39999,5.3 -362,2019-12-29 12:00:00+00:00,-9999.0,37.43,37.478,-9999.0,27.46,-99999.0,27.43,27.47,293.70001,6.0 -363,2019-12-30 12:00:00+00:00,-9999.0,37.423,37.475,-9999.0,27.43,-99999.0,27.42,27.43,271.60001,5.6 -364,2019-12-31 12:00:00+00:00,-9999.0,37.406,37.456,-9999.0,27.43,-99999.0,27.42,27.43,273.29999,7.0 -365,2020-01-01 12:00:00+00:00,-9999.0,37.421,37.469,-9999.0,27.43,-99999.0,27.44,27.43,239.7,5.5 -366,2020-01-02 12:00:00+00:00,-9999.0,37.417,37.467,-9999.0,27.45,-99999.0,27.43,27.46,221.8,6.4 -367,2020-01-03 12:00:00+00:00,-9999.0,37.423,37.47,-9999.0,27.48,-99999.0,27.48,27.48,217.89999,6.8 -368,2020-01-04 12:00:00+00:00,-9999.0,37.437,37.485,-9999.0,27.45,-99999.0,27.45,27.46,219.39999,6.7 -369,2020-01-05 12:00:00+00:00,-9999.0,37.423,37.471,-9999.0,27.47,-99999.0,27.43,27.49,213.39999,6.0 -370,2020-01-06 12:00:00+00:00,-9999.0,37.394,37.44,-9999.0,27.48,-99999.0,27.43,27.49,224.2,5.5 -371,2020-01-07 12:00:00+00:00,-9999.0,37.399,37.445,-9999.0,27.51,-99999.0,27.47,27.54,248.39999,4.9 -372,2020-01-08 12:00:00+00:00,-9999.0,37.399,37.446,-9999.0,27.54,-99999.0,27.5,27.61,260.0,4.3 -373,2020-01-09 12:00:00+00:00,-9999.0,37.402,37.444,-9999.0,27.63,-99999.0,27.53,27.69,259.39999,4.5 -374,2020-01-10 12:00:00+00:00,-9999.0,37.402,37.449,-9999.0,27.66,-99999.0,27.61,27.72,256.29999,4.6 -375,2020-01-11 12:00:00+00:00,-9999.0,37.404,37.45,-9999.0,27.74,-99999.0,27.66,27.78,243.89999,5.5 -376,2020-01-12 12:00:00+00:00,-9999.0,37.403,37.453,-9999.0,27.8,-99999.0,27.76,27.86,228.3,5.3 -377,2020-01-13 12:00:00+00:00,-9999.0,37.398,37.447,-9999.0,27.86,-99999.0,27.8,27.9,166.0,3.6 -378,2020-01-14 12:00:00+00:00,-9999.0,37.397,37.446,-9999.0,27.92,-99999.0,27.83,28.07,92.6,2.0 -379,2020-01-15 12:00:00+00:00,-9999.0,37.405,37.441,-9999.0,28.18,-99999.0,27.87,28.3,260.0,1.1 -380,2020-01-16 12:00:00+00:00,-9999.0,37.407,37.439,-9999.0,28.27,-99999.0,27.98,28.41,232.0,4.3 -381,2020-01-17 12:00:00+00:00,-9999.0,37.406,37.448,-9999.0,28.34,-99999.0,28.21,28.4,270.60001,5.4 -382,2020-01-18 12:00:00+00:00,-9999.0,37.4,37.447,-9999.0,28.3,-99999.0,28.22,28.35,246.0,3.4 -383,2020-01-19 12:00:00+00:00,-9999.0,37.401,37.447,-9999.0,28.34,-99999.0,28.25,28.4,256.29999,4.6 -384,2020-01-20 12:00:00+00:00,-9999.0,37.414,37.46,-9999.0,28.45,-99999.0,28.39,28.49,232.0,3.5 -385,2020-01-21 12:00:00+00:00,-9999.0,37.43,37.474,-9999.0,28.52,-99999.0,28.45,28.54,199.2,4.5 -386,2020-01-22 12:00:00+00:00,-9999.0,37.42,37.472,-9999.0,28.34,-99999.0,28.33,28.34,205.2,5.9 -387,2020-01-23 12:00:00+00:00,-9999.0,37.419,37.473,-9999.0,28.19,-99999.0,28.19,28.19,228.60001,7.3 -388,2020-01-24 12:00:00+00:00,-9999.0,37.363,37.415,-9999.0,28.08,-99999.0,28.09,28.08,205.60001,7.1 -389,2020-01-25 12:00:00+00:00,-9999.0,37.304,37.356,-9999.0,27.99,-99999.0,27.99,27.99,195.60001,7.5 -390,2020-01-26 12:00:00+00:00,-9999.0,37.303,37.355,-9999.0,27.97,-99999.0,27.96,27.97,174.39999,5.2 -391,2020-01-27 12:00:00+00:00,-9999.0,37.311,37.364,-9999.0,28.01,-99999.0,27.97,28.07,230.7,4.7 -392,2020-01-28 12:00:00+00:00,-9999.0,37.309,37.361,-9999.0,28.09,-99999.0,28.03,28.14,240.3,4.2 -393,2020-01-29 12:00:00+00:00,-9999.0,37.32,37.363,-9999.0,28.18,-99999.0,28.09,28.28,286.89999,4.1 -394,2020-01-30 12:00:00+00:00,-9999.0,37.325,37.372,-9999.0,28.27,-99999.0,28.19,28.31,288.10001,5.7 -395,2020-01-31 12:00:00+00:00,-9999.0,37.326,37.375,-9999.0,28.26,-99999.0,28.21,28.33,264.39999,4.5 -396,2020-02-01 12:00:00+00:00,-9999.0,37.333,37.381,-9999.0,28.33,-99999.0,28.25,-9999.0,242.2,3.2 -397,2020-02-02 12:00:00+00:00,-9999.0,37.346,37.399,-9999.0,28.38,-99999.0,28.26,-9999.0,242.39999,3.4 -398,2020-02-03 12:00:00+00:00,-9999.0,37.362,37.409,-9999.0,28.41,-99999.0,28.28,-9999.0,249.60001,3.4 -399,2020-02-04 12:00:00+00:00,-9999.0,37.374,37.42,-9999.0,28.53,-99999.0,28.38,-9999.0,264.39999,4.0 -400,2020-02-05 12:00:00+00:00,-9999.0,37.355,37.403,-9999.0,28.43,-99999.0,28.38,-9999.0,291.0,4.1 -401,2020-02-06 12:00:00+00:00,-9999.0,37.362,37.411,-9999.0,28.54,-99999.0,28.49,-9999.0,311.20001,3.1 -402,2020-02-07 12:00:00+00:00,-9999.0,37.345,37.394,-9999.0,28.51,-99999.0,28.49,-9999.0,302.29999,2.4 -403,2020-02-08 12:00:00+00:00,-9999.0,37.336,37.385,-9999.0,28.5,-99999.0,28.45,-9999.0,187.39999,4.4 -404,2020-02-09 12:00:00+00:00,-9999.0,37.341,37.392,-9999.0,28.51,-99999.0,28.48,-9999.0,232.60001,4.5 -405,2020-02-10 12:00:00+00:00,-9999.0,37.344,37.396,-9999.0,28.61,-99999.0,28.53,-9999.0,192.89999,4.2 -406,2020-02-11 12:00:00+00:00,-9999.0,37.356,37.402,-9999.0,28.72,-99999.0,28.59,-9999.0,211.0,5.0 -407,2020-02-12 12:00:00+00:00,-9999.0,37.36,37.413,-9999.0,28.77,-99999.0,28.72,-9999.0,256.29999,4.6 -408,2020-02-13 12:00:00+00:00,-9999.0,37.357,37.412,-9999.0,28.76,-99999.0,28.72,-9999.0,267.39999,6.1 -409,2020-02-14 12:00:00+00:00,-9999.0,37.36,37.415,-9999.0,28.77,-99999.0,28.75,-9999.0,276.60001,5.2 -410,2020-02-15 12:00:00+00:00,-9999.0,37.364,37.42,-9999.0,28.84,-99999.0,28.78,-9999.0,268.20001,4.9 -411,2020-02-16 12:00:00+00:00,-9999.0,37.373,37.429,-9999.0,28.87,-99999.0,28.84,-9999.0,277.29999,5.5 -412,2020-02-17 12:00:00+00:00,-9999.0,37.381,37.436,-9999.0,28.82,-99999.0,28.79,-9999.0,287.5,7.0 -413,2020-02-18 12:00:00+00:00,-9999.0,37.366,37.421,-9999.0,28.67,-99999.0,28.67,-9999.0,288.10001,8.3 -414,2020-02-19 12:00:00+00:00,-9999.0,37.341,37.4,-9999.0,28.52,-99999.0,28.5,-9999.0,285.79999,6.3 -415,2020-02-20 12:00:00+00:00,-9999.0,37.332,37.385,-9999.0,28.49,-99999.0,28.46,-9999.0,277.29999,5.5 -416,2020-02-21 12:00:00+00:00,-9999.0,37.332,37.388,-9999.0,28.54,-99999.0,28.51,-9999.0,248.3,5.1 -417,2020-02-22 12:00:00+00:00,-9999.0,37.346,37.405,-9999.0,28.57,-99999.0,28.54,-9999.0,226.7,4.4 -418,2020-02-23 12:00:00+00:00,-9999.0,37.354,37.408,-9999.0,28.59,-99999.0,28.56,-9999.0,201.0,4.1 -419,2020-02-24 12:00:00+00:00,-9999.0,37.356,37.411,-9999.0,28.62,-99999.0,28.6,-9999.0,214.39999,3.2 -420,2020-02-25 12:00:00+00:00,-9999.0,37.346,37.399,-9999.0,28.66,-99999.0,28.62,-9999.0,237.2,2.8 -421,2020-02-26 12:00:00+00:00,-9999.0,37.386,37.453,-9999.0,28.81,-99999.0,28.72,-9999.0,255.0,4.0 -422,2020-02-27 12:00:00+00:00,-9999.0,37.407,37.467,-9999.0,28.81,-99999.0,28.76,-9999.0,222.5,5.1 -423,2020-02-28 12:00:00+00:00,-9999.0,37.417,-9999.0,-9999.0,28.83,-99999.0,-9999.0,-9999.0,239.3,3.6 -424,2020-02-29 12:00:00+00:00,-9999.0,37.415,37.471,-9999.0,28.89,-99999.0,28.85,-9999.0,291.0,3.6 -425,2020-03-01 12:00:00+00:00,-9999.0,37.4,37.451,-9999.0,28.89,-99999.0,28.83,-9999.0,306.89999,2.3 -426,2020-03-02 12:00:00+00:00,-9999.0,37.396,37.455,-9999.0,28.89,-99999.0,28.86,-9999.0,293.29999,3.7 -427,2020-03-03 12:00:00+00:00,-9999.0,37.401,37.458,-9999.0,28.93,-99999.0,28.89,-9999.0,257.29999,5.2 -428,2020-03-04 12:00:00+00:00,-9999.0,37.398,37.456,-9999.0,28.9,-99999.0,28.87,-9999.0,241.60001,5.3 -429,2020-03-05 12:00:00+00:00,-9999.0,37.421,37.479,-9999.0,28.93,-99999.0,28.92,-9999.0,209.60001,4.8 -430,2020-03-06 12:00:00+00:00,-9999.0,37.428,37.485,-9999.0,28.96,-99999.0,28.93,-9999.0,142.0,1.9 -431,2020-03-07 12:00:00+00:00,-9999.0,37.43,37.5,-9999.0,29.05,-99999.0,29.01,-9999.0,341.70001,4.2 -432,2020-03-08 12:00:00+00:00,-9999.0,37.39,37.457,-9999.0,28.91,-99999.0,28.93,-9999.0,328.89999,6.5 -433,2020-03-09 12:00:00+00:00,-9999.0,37.308,37.404,-9999.0,28.76,-99999.0,28.81,-9999.0,260.0,3.5 -434,2020-03-10 12:00:00+00:00,-9999.0,37.293,37.374,-9999.0,28.72,-99999.0,28.72,-9999.0,265.39999,3.8 -435,2020-03-11 12:00:00+00:00,-9999.0,37.228,37.361,-9999.0,28.79,-99999.0,28.79,-9999.0,279.70001,2.4 -436,2020-03-12 12:00:00+00:00,-9999.0,37.23,37.306,-9999.0,28.73,-99999.0,28.76,-9999.0,304.60001,4.4 -437,2020-03-13 12:00:00+00:00,-9999.0,37.172,37.255,-9999.0,28.67,-99999.0,28.69,-9999.0,302.29999,3.8 -438,2020-03-14 12:00:00+00:00,-9999.0,37.146,37.225,-9999.0,28.62,-99999.0,28.65,-9999.0,297.29999,5.2 -439,2020-03-15 12:00:00+00:00,-9999.0,37.076,37.248,-9999.0,28.51,-99999.0,28.69,-9999.0,304.70001,5.5 -440,2020-03-16 12:00:00+00:00,-9999.0,37.21,37.269,-9999.0,28.61,-99999.0,28.61,-9999.0,287.79999,5.2 -441,2020-03-17 12:00:00+00:00,-9999.0,37.161,37.216,-9999.0,28.62,-99999.0,28.61,-9999.0,270.39999,4.9 -442,2020-03-18 12:00:00+00:00,-9999.0,37.194,37.251,-9999.0,28.69,-99999.0,28.67,-9999.0,278.0,3.9 -443,2020-03-19 12:00:00+00:00,-9999.0,37.192,37.241,-9999.0,28.75,-99999.0,28.68,-9999.0,246.0,3.8 -444,2020-03-20 12:00:00+00:00,-9999.0,37.119,37.193,-9999.0,28.61,-99999.0,28.6,-9999.0,201.0,5.2 -445,2020-03-21 12:00:00+00:00,-9999.0,37.079,37.142,-9999.0,28.52,-99999.0,28.52,-9999.0,153.8,5.3 -446,2020-03-22 12:00:00+00:00,-9999.0,37.166,37.286,-9999.0,28.53,-99999.0,28.53,-9999.0,129.39999,2.0 -447,2020-03-23 12:00:00+00:00,-9999.0,37.203,37.428,-9999.0,28.54,-99999.0,28.58,-9999.0,337.89999,6.2 -448,2020-03-24 12:00:00+00:00,-9999.0,37.364,37.433,-9999.0,28.43,-99999.0,28.44,-9999.0,341.10001,8.9 -449,2020-03-25 12:00:00+00:00,-9999.0,37.391,37.449,-9999.0,28.38,-99999.0,28.38,-9999.0,347.29999,8.1 -450,2020-03-26 12:00:00+00:00,-9999.0,37.392,37.451,-9999.0,28.34,-99999.0,28.32,-9999.0,346.60001,6.5 -451,2020-03-27 12:00:00+00:00,-9999.0,37.388,37.447,-9999.0,28.37,-99999.0,28.34,-9999.0,343.79999,4.6 -452,2020-03-28 12:00:00+00:00,-9999.0,37.327,37.386,-9999.0,28.37,-99999.0,28.35,-9999.0,270.79999,3.1 -453,2020-03-29 12:00:00+00:00,-9999.0,37.265,37.318,-9999.0,28.37,-99999.0,28.31,-9999.0,297.79999,3.7 -454,2020-03-30 12:00:00+00:00,-9999.0,37.251,37.298,-9999.0,28.36,-99999.0,28.3,-9999.0,317.60001,2.8 -455,2020-03-31 12:00:00+00:00,-9999.0,37.249,37.298,-9999.0,28.45,-99999.0,28.31,-9999.0,322.60001,4.5 -456,2020-04-01 12:00:00+00:00,-9999.0,37.263,37.317,-9999.0,28.41,-99999.0,28.35,-9999.0,316.0,4.8 -457,2020-04-02 12:00:00+00:00,-9999.0,37.269,37.326,-9999.0,28.43,-99999.0,28.4,-9999.0,298.70001,5.4 -458,2020-04-03 12:00:00+00:00,-9999.0,37.26,37.319,-9999.0,28.44,-99999.0,28.42,-9999.0,158.39999,4.9 -459,2020-04-04 12:00:00+00:00,-9999.0,37.277,37.335,-9999.0,28.41,-99999.0,28.41,-9999.0,129.39999,5.9 -460,2020-04-05 12:00:00+00:00,-9999.0,37.263,37.319,-9999.0,28.32,-99999.0,28.32,-9999.0,352.20001,6.5 -461,2020-04-06 12:00:00+00:00,-9999.0,37.255,37.308,-9999.0,28.15,-99999.0,28.13,-9999.0,333.5,4.7 -462,2020-04-07 12:00:00+00:00,-9999.0,37.229,37.283,-9999.0,28.01,-99999.0,28.01,-9999.0,299.10001,2.2 -463,2020-04-08 12:00:00+00:00,-9999.0,37.207,37.258,-9999.0,28.0,-99999.0,27.96,-9999.0,45.4,2.0 -464,2020-04-09 12:00:00+00:00,-9999.0,37.202,37.263,-9999.0,28.0,-99999.0,27.98,-9999.0,347.29999,4.2 -465,2020-04-10 12:00:00+00:00,-9999.0,37.21,37.263,-9999.0,27.88,-99999.0,27.89,-9999.0,323.70001,6.6 -466,2020-04-11 12:00:00+00:00,-9999.0,37.243,37.299,-9999.0,27.83,-99999.0,27.82,-9999.0,289.29999,4.8 -467,2020-04-12 12:00:00+00:00,-9999.0,37.267,37.325,-9999.0,27.87,-99999.0,27.86,-9999.0,201.0,1.7 -468,2020-04-13 12:00:00+00:00,-9999.0,37.257,37.316,-9999.0,27.87,-99999.0,27.85,-9999.0,286.20001,3.6 -469,2020-04-14 12:00:00+00:00,-9999.0,37.199,37.254,-9999.0,27.82,-99999.0,27.78,-9999.0,265.39999,3.8 -470,2020-04-15 12:00:00+00:00,-9999.0,37.165,37.216,-9999.0,27.76,-99999.0,27.74,-9999.0,252.0,4.0 -471,2020-04-16 12:00:00+00:00,-9999.0,37.147,37.216,-9999.0,27.88,-99999.0,27.79,-9999.0,240.0,4.0 -472,2020-04-17 12:00:00+00:00,-9999.0,37.213,37.259,-9999.0,27.99,-99999.0,27.91,-9999.0,275.70001,3.4 -473,2020-04-18 12:00:00+00:00,-9999.0,37.192,37.247,-9999.0,27.91,-99999.0,27.88,-9999.0,325.39999,3.4 -474,2020-04-19 12:00:00+00:00,-9999.0,37.153,37.216,-9999.0,27.83,-99999.0,27.84,-9999.0,337.60001,7.2 -475,2020-04-20 12:00:00+00:00,-9999.0,37.169,37.236,-9999.0,27.78,-99999.0,27.8,-9999.0,344.79999,5.3 -476,2020-04-21 12:00:00+00:00,-9999.0,37.129,37.181,-9999.0,27.63,-99999.0,27.63,-9999.0,336.0,1.9 -477,2020-04-22 12:00:00+00:00,-9999.0,37.15,37.203,-9999.0,27.73,-99999.0,27.71,-9999.0,0.2,4.5 -478,2020-04-23 12:00:00+00:00,-9999.0,37.155,37.205,-9999.0,27.77,-99999.0,27.76,-9999.0,14.2,3.7 -479,2020-04-24 12:00:00+00:00,-9999.0,37.174,37.223,-9999.0,27.77,-99999.0,27.75,-9999.0,345.0,4.0 -480,2020-04-25 12:00:00+00:00,-9999.0,37.186,37.237,-9999.0,27.73,-99999.0,27.73,-9999.0,314.5,8.1 -481,2020-04-26 12:00:00+00:00,-9999.0,37.182,37.233,-9999.0,27.63,-99999.0,27.63,-9999.0,323.5,7.4 -482,2020-04-27 12:00:00+00:00,-9999.0,37.199,37.25,-9999.0,27.61,-99999.0,27.62,-9999.0,327.20001,7.9 -483,2020-04-28 12:00:00+00:00,-9999.0,37.205,37.254,-9999.0,27.52,-99999.0,27.53,-9999.0,331.89999,8.4 -484,2020-04-29 12:00:00+00:00,-9999.0,37.229,37.278,-9999.0,27.5,-99999.0,27.5,-9999.0,298.79999,6.3 -485,2020-04-30 12:00:00+00:00,-9999.0,37.227,37.277,-9999.0,27.51,-99999.0,27.49,-9999.0,272.60001,5.5 -486,2020-05-01 12:00:00+00:00,-9999.0,37.23,37.279,-9999.0,27.49,-99999.0,27.49,-9999.0,222.8,3.2 -487,2020-05-02 12:00:00+00:00,-9999.0,37.226,37.277,-9999.0,27.53,-99999.0,27.51,-9999.0,111.0,2.2 -488,2020-05-03 12:00:00+00:00,-9999.0,37.221,37.27,-9999.0,27.5,-99999.0,27.5,-9999.0,71.2,2.4 -489,2020-05-04 12:00:00+00:00,-9999.0,37.225,37.272,-9999.0,27.44,-99999.0,27.45,-9999.0,9.7,6.5 -490,2020-05-05 12:00:00+00:00,-9999.0,37.228,37.277,-9999.0,27.41,-99999.0,27.4,-9999.0,331.60001,2.8 -491,2020-05-06 12:00:00+00:00,-9999.0,37.231,37.279,-9999.0,27.4,-99999.0,27.39,-9999.0,180.39999,2.6 -492,2020-05-07 12:00:00+00:00,-9999.0,37.241,37.289,-9999.0,27.42,-99999.0,27.4,-9999.0,187.0,3.7 -493,2020-05-08 12:00:00+00:00,-9999.0,37.237,37.288,-9999.0,27.4,-99999.0,27.4,-9999.0,350.5,6.4 -494,2020-05-09 12:00:00+00:00,-9999.0,37.249,37.298,-9999.0,27.35,-99999.0,27.35,-9999.0,344.60001,9.2 -495,2020-05-10 12:00:00+00:00,-9999.0,37.29,37.34,-9999.0,27.35,-99999.0,27.35,-9999.0,329.70001,9.0 -496,2020-05-11 12:00:00+00:00,-9999.0,37.296,37.344,-9999.0,27.23,-99999.0,27.24,-9999.0,314.79999,7.7 -497,2020-05-12 12:00:00+00:00,-9999.0,37.287,37.334,-9999.0,27.17,-99999.0,27.17,-9999.0,309.39999,6.3 -498,2020-05-13 12:00:00+00:00,-9999.0,37.245,37.291,-9999.0,27.04,-99999.0,27.03,-9999.0,294.0,5.5 -499,2020-05-14 12:00:00+00:00,-9999.0,37.248,37.294,-9999.0,27.02,-99999.0,27.02,-9999.0,250.2,5.5 -500,2020-05-15 12:00:00+00:00,-9999.0,37.254,37.3,-9999.0,27.04,-99999.0,27.03,-9999.0,225.0,3.0 -501,2020-05-16 12:00:00+00:00,-9999.0,37.286,37.328,-9999.0,27.16,-99999.0,27.13,-9999.0,284.70001,1.6 -502,2020-05-17 12:00:00+00:00,-9999.0,37.337,37.387,-9999.0,27.25,-99999.0,27.26,-9999.0,315.70001,5.8 -503,2020-05-18 12:00:00+00:00,-9999.0,37.392,37.442,-9999.0,27.33,-99999.0,27.33,-9999.0,325.29999,7.5 -504,2020-05-19 12:00:00+00:00,-9999.0,37.391,37.443,-9999.0,27.29,-99999.0,27.3,-9999.0,331.60001,7.8 -505,2020-05-20 12:00:00+00:00,-9999.0,37.425,37.474,-9999.0,27.24,-99999.0,27.24,-9999.0,325.20001,8.5 -506,2020-05-21 12:00:00+00:00,-9999.0,37.402,37.45,-9999.0,27.13,-99999.0,27.14,-9999.0,312.20001,7.4 -507,2020-05-22 12:00:00+00:00,-9999.0,37.385,37.433,-9999.0,27.06,-99999.0,27.06,-9999.0,298.10001,6.8 -508,2020-05-23 12:00:00+00:00,-9999.0,37.368,37.422,-9999.0,27.01,-99999.0,27.01,-9999.0,289.70001,6.4 -509,2020-05-24 12:00:00+00:00,-9999.0,37.403,37.451,-9999.0,27.08,-99999.0,27.08,-9999.0,260.89999,6.2 -510,2020-05-25 12:00:00+00:00,-9999.0,37.425,37.474,-9999.0,27.11,-99999.0,27.11,-9999.0,222.2,5.5 -511,2020-05-26 12:00:00+00:00,-9999.0,37.437,37.485,-9999.0,27.11,-99999.0,27.12,-9999.0,181.60001,5.6 -512,2020-05-27 12:00:00+00:00,-9999.0,37.415,37.47,-9999.0,27.05,-99999.0,27.07,-9999.0,52.0,4.3 -513,2020-05-28 12:00:00+00:00,-9999.0,37.44,37.488,-9999.0,27.04,-99999.0,27.05,-9999.0,10.7,6.4 -514,2020-05-29 12:00:00+00:00,-9999.0,37.437,37.483,-9999.0,26.96,-99999.0,26.97,-9999.0,344.89999,6.5 -515,2020-05-30 12:00:00+00:00,-9999.0,37.448,37.494,-9999.0,26.9,-99999.0,26.91,-9999.0,323.0,5.4 -516,2020-05-31 12:00:00+00:00,-9999.0,37.44,37.487,-9999.0,26.84,-99999.0,26.84,-9999.0,318.5,4.1 -517,2020-06-01 12:00:00+00:00,-9999.0,37.444,37.49,-9999.0,26.84,-99999.0,26.84,-9999.0,291.0,1.1 -518,2020-06-02 12:00:00+00:00,-9999.0,37.431,37.468,-9999.0,26.84,-99999.0,26.81,-9999.0,256.29999,4.6 -519,2020-06-03 12:00:00+00:00,-9999.0,37.409,37.453,-9999.0,26.78,-99999.0,26.78,-9999.0,235.39999,3.4 -520,2020-06-04 12:00:00+00:00,-9999.0,37.384,37.445,-9999.0,26.8,-99999.0,26.81,-9999.0,343.89999,5.9 -521,2020-06-05 12:00:00+00:00,-9999.0,37.432,37.471,-9999.0,26.8,-99999.0,26.8,-9999.0,327.10001,6.5 -522,2020-06-06 12:00:00+00:00,-9999.0,37.433,37.472,-9999.0,26.74,-99999.0,26.74,-9999.0,323.89999,8.5 -523,2020-06-07 12:00:00+00:00,-9999.0,37.425,37.464,-9999.0,26.66,-99999.0,26.66,-9999.0,323.5,5.6 -524,2020-06-08 12:00:00+00:00,-9999.0,37.409,37.445,-9999.0,26.6,-99999.0,26.61,-9999.0,292.20001,6.9 -525,2020-06-09 12:00:00+00:00,-9999.0,37.368,37.403,-9999.0,26.51,-99999.0,26.5,-9999.0,237.2,2.8 -526,2020-06-10 12:00:00+00:00,-9999.0,37.362,37.39,-9999.0,26.53,-99999.0,26.49,-9999.0,221.2,3.1 -527,2020-06-11 12:00:00+00:00,-9999.0,37.344,37.379,-9999.0,26.49,-99999.0,26.47,-9999.0,248.5,4.7 -528,2020-06-12 12:00:00+00:00,-9999.0,37.351,37.382,-9999.0,26.47,-99999.0,26.46,-9999.0,242.8,3.8 -529,2020-06-13 12:00:00+00:00,-9999.0,37.34,37.369,-9999.0,26.48,-99999.0,26.46,-9999.0,293.10001,4.0 -530,2020-06-14 12:00:00+00:00,-9999.0,37.346,37.376,-9999.0,26.47,-99999.0,26.47,-9999.0,305.39999,5.2 -531,2020-06-15 12:00:00+00:00,-9999.0,37.354,37.383,-9999.0,26.45,-99999.0,26.46,-9999.0,320.70001,6.8 -532,2020-06-16 12:00:00+00:00,-9999.0,37.355,37.383,-9999.0,26.39,-99999.0,26.4,-9999.0,326.5,8.4 -533,2020-06-17 12:00:00+00:00,-9999.0,37.357,37.383,-9999.0,26.31,-99999.0,26.32,-9999.0,326.29999,9.4 -534,2020-06-18 12:00:00+00:00,-9999.0,37.356,37.38,-9999.0,26.21,-99999.0,26.22,-9999.0,309.39999,9.7 -535,2020-06-19 12:00:00+00:00,-9999.0,37.355,37.38,-9999.0,26.15,-99999.0,26.16,-9999.0,289.79999,6.7 -536,2020-06-20 12:00:00+00:00,-9999.0,37.356,37.379,-9999.0,26.12,-99999.0,26.12,-9999.0,286.60001,5.6 -537,2020-06-21 12:00:00+00:00,-9999.0,37.357,37.379,-9999.0,26.08,-99999.0,26.08,-9999.0,294.20001,5.2 -538,2020-06-22 12:00:00+00:00,-9999.0,37.357,37.377,-9999.0,26.04,-99999.0,26.04,-9999.0,307.39999,5.1 -539,2020-06-23 12:00:00+00:00,-9999.0,37.357,37.378,-9999.0,26.01,-99999.0,26.02,-9999.0,309.39999,5.0 -540,2020-06-24 12:00:00+00:00,-9999.0,37.358,37.376,-9999.0,25.97,-99999.0,25.98,-9999.0,294.20001,7.5 -541,2020-06-25 12:00:00+00:00,-9999.0,37.363,37.38,-9999.0,25.92,-99999.0,25.93,-9999.0,294.20001,7.5 -542,2020-06-26 12:00:00+00:00,-9999.0,37.364,37.38,-9999.0,25.89,-99999.0,25.88,-9999.0,265.60001,6.0 -543,2020-06-27 12:00:00+00:00,-9999.0,37.373,37.39,-9999.0,25.91,-99999.0,25.9,-9999.0,267.79999,3.4 -544,2020-06-28 12:00:00+00:00,-9999.0,37.341,37.36,-9999.0,25.79,-99999.0,25.78,-9999.0,294.79999,2.4 -545,2020-06-29 12:00:00+00:00,-9999.0,37.346,37.36,-9999.0,25.73,-99999.0,25.74,-9999.0,316.0,7.0 -546,2020-06-30 12:00:00+00:00,-9999.0,37.345,37.357,-9999.0,25.66,-99999.0,25.66,-9999.0,293.5,6.5 -547,2020-07-01 12:00:00+00:00,-9999.0,37.361,37.37,-9999.0,25.7,-99999.0,25.7,-9999.0,225.39999,5.2 -548,2020-07-02 12:00:00+00:00,-9999.0,37.386,37.395,-9999.0,25.83,-99999.0,25.82,-9999.0,169.39999,4.5 -549,2020-07-03 12:00:00+00:00,-9999.0,37.361,37.371,-9999.0,25.76,-99999.0,25.75,-9999.0,212.3,3.1 -550,2020-07-04 12:00:00+00:00,-9999.0,37.413,37.426,-9999.0,25.98,-99999.0,25.97,-9999.0,322.0,1.1 -551,2020-07-05 12:00:00+00:00,-9999.0,37.416,37.43,-9999.0,26.01,-99999.0,26.02,-9999.0,324.29999,6.0 -552,2020-07-06 12:00:00+00:00,-9999.0,37.424,37.433,-9999.0,26.02,-99999.0,26.02,-9999.0,287.60001,4.9 -553,2020-07-07 12:00:00+00:00,-9999.0,37.42,37.427,-9999.0,25.96,-99999.0,25.96,-9999.0,299.10001,5.1 -554,2020-07-08 12:00:00+00:00,-9999.0,37.413,37.42,-9999.0,25.9,-99999.0,25.89,-9999.0,289.60001,5.9 -555,2020-07-09 12:00:00+00:00,-9999.0,37.409,37.415,-9999.0,25.86,-99999.0,25.86,-9999.0,275.70001,5.0 -556,2020-07-10 12:00:00+00:00,-9999.0,37.401,37.408,-9999.0,25.84,-99999.0,25.84,-9999.0,329.70001,2.1 -557,2020-07-11 12:00:00+00:00,-9999.0,37.4,37.407,-9999.0,25.84,-99999.0,25.83,-9999.0,320.60001,6.1 -558,2020-07-12 12:00:00+00:00,-9999.0,37.399,37.405,-9999.0,25.8,-99999.0,25.8,-9999.0,289.70001,6.4 -559,2020-07-13 12:00:00+00:00,-9999.0,37.399,37.405,-9999.0,25.77,-99999.0,25.77,-9999.0,260.60001,4.9 -560,2020-07-14 12:00:00+00:00,-9999.0,37.401,37.407,-9999.0,25.77,-99999.0,25.77,-9999.0,231.10001,3.3 -561,2020-07-15 12:00:00+00:00,-9999.0,37.402,37.407,-9999.0,25.77,-99999.0,25.77,-9999.0,2.6,1.2 -562,2020-07-16 12:00:00+00:00,-9999.0,37.399,37.405,-9999.0,25.72,-99999.0,25.73,-9999.0,341.60001,8.2 -563,2020-07-17 12:00:00+00:00,-9999.0,37.393,37.397,-9999.0,25.61,-99999.0,25.61,-9999.0,315.70001,5.8 -564,2020-07-18 12:00:00+00:00,-9999.0,37.393,37.398,-9999.0,25.55,-99999.0,25.56,-9999.0,317.10001,7.4 -565,2020-07-19 12:00:00+00:00,-9999.0,37.386,37.39,-9999.0,25.46,-99999.0,25.46,-9999.0,310.5,9.2 -566,2020-07-20 12:00:00+00:00,-9999.0,37.376,37.378,-9999.0,25.37,-99999.0,25.38,-9999.0,298.20001,7.8 -567,2020-07-21 12:00:00+00:00,-9999.0,37.372,37.374,-9999.0,25.32,-99999.0,25.33,-9999.0,292.60001,5.3 -568,2020-07-22 12:00:00+00:00,-9999.0,37.372,37.373,-9999.0,25.32,-99999.0,25.31,-9999.0,305.5,4.1 -569,2020-07-23 12:00:00+00:00,-9999.0,37.374,37.374,-9999.0,25.33,-99999.0,25.33,-9999.0,320.10001,5.9 -570,2020-07-24 12:00:00+00:00,-9999.0,37.379,37.379,-9999.0,25.34,-99999.0,25.34,-9999.0,314.20001,6.5 -571,2020-07-25 12:00:00+00:00,-9999.0,37.379,37.381,-9999.0,25.33,-99999.0,25.33,-9999.0,305.29999,8.5 -572,2020-07-26 12:00:00+00:00,-9999.0,37.378,37.379,-9999.0,25.29,-99999.0,25.3,-9999.0,297.10001,6.7 -573,2020-07-27 12:00:00+00:00,-9999.0,37.381,37.382,-9999.0,25.28,-99999.0,25.29,-9999.0,299.10001,7.0 -574,2020-07-28 12:00:00+00:00,-9999.0,37.381,37.379,-9999.0,25.26,-99999.0,25.26,-9999.0,271.70001,6.0 -575,2020-07-29 12:00:00+00:00,-9999.0,37.383,37.379,-9999.0,25.24,-99999.0,25.23,-9999.0,272.60001,4.6 -576,2020-07-30 12:00:00+00:00,-9999.0,37.383,37.383,-9999.0,25.22,-99999.0,25.23,-9999.0,316.20001,5.4 -577,2020-07-31 12:00:00+00:00,-9999.0,37.38,37.378,-9999.0,25.19,-99999.0,25.19,-9999.0,329.10001,8.2 -578,2020-08-01 12:00:00+00:00,-9999.0,37.381,37.38,-9999.0,25.14,-99999.0,25.14,-9999.0,326.29999,8.3 -579,2020-08-02 12:00:00+00:00,-9999.0,37.378,37.377,-9999.0,25.09,-99999.0,25.1,-9999.0,327.70001,8.2 -580,2020-08-03 12:00:00+00:00,-9999.0,37.374,37.37,-9999.0,25.03,-99999.0,25.04,-9999.0,330.39999,8.2 -581,2020-08-04 12:00:00+00:00,-9999.0,37.37,37.368,-9999.0,24.96,-99999.0,24.97,-9999.0,332.0,8.6 -582,2020-08-05 12:00:00+00:00,-9999.0,37.368,37.363,-9999.0,24.9,-99999.0,24.91,-9999.0,332.10001,8.7 -583,2020-08-06 12:00:00+00:00,-9999.0,37.368,37.363,-9999.0,24.87,-99999.0,24.88,-9999.0,323.29999,8.2 -584,2020-08-07 12:00:00+00:00,-9999.0,37.362,37.356,-9999.0,24.83,-99999.0,24.84,-9999.0,308.79999,7.8 -585,2020-08-08 12:00:00+00:00,-9999.0,37.358,37.352,-9999.0,24.81,-99999.0,24.81,-9999.0,311.70001,6.8 -586,2020-08-09 12:00:00+00:00,-9999.0,37.36,37.353,-9999.0,24.79,-99999.0,24.8,-9999.0,309.39999,7.6 -587,2020-08-10 12:00:00+00:00,-9999.0,37.361,37.355,-9999.0,24.76,-99999.0,24.76,-9999.0,299.79999,6.5 -588,2020-08-11 12:00:00+00:00,-9999.0,37.333,37.324,-9999.0,24.66,-99999.0,24.65,-9999.0,280.79999,5.7 -589,2020-08-12 12:00:00+00:00,-9999.0,37.312,37.305,-9999.0,24.57,-99999.0,24.57,-9999.0,287.20001,6.4 -590,2020-08-13 12:00:00+00:00,-9999.0,37.311,37.303,-9999.0,24.55,-99999.0,24.55,-9999.0,288.5,6.5 -591,2020-08-14 12:00:00+00:00,-9999.0,37.316,37.31,-9999.0,24.57,-99999.0,24.57,-9999.0,284.89999,6.7 -592,2020-08-15 12:00:00+00:00,-9999.0,37.329,37.321,-9999.0,24.6,-99999.0,24.6,-9999.0,272.60001,7.2 -593,2020-08-16 12:00:00+00:00,-9999.0,37.317,37.307,-9999.0,24.59,-99999.0,24.57,-9999.0,267.39999,6.1 -594,2020-08-17 12:00:00+00:00,-9999.0,-9999.0,37.301,-9999.0,-9999.0,-99999.0,24.56,-9999.0,278.0,5.7 -595,2020-08-18 12:00:00+00:00,-9999.0,37.313,37.302,-9999.0,24.58,-99999.0,24.57,-9999.0,279.20001,6.3 -596,2020-08-19 12:00:00+00:00,-9999.0,37.314,37.304,-9999.0,24.58,-99999.0,24.57,-9999.0,268.89999,5.7 -597,2020-08-20 12:00:00+00:00,-9999.0,37.32,37.312,-9999.0,24.6,-99999.0,24.59,-9999.0,258.29999,4.8 -598,2020-08-21 12:00:00+00:00,-9999.0,37.324,37.315,-9999.0,24.61,-99999.0,24.6,-9999.0,287.60001,2.6 -599,2020-08-22 12:00:00+00:00,-9999.0,37.329,37.319,-9999.0,24.64,-99999.0,24.64,-9999.0,227.60001,1.5 -600,2020-08-23 12:00:00+00:00,-9999.0,37.325,-9999.0,-9999.0,24.64,-99999.0,-9999.0,-9999.0,2.6,0.8 -601,2020-08-24 12:00:00+00:00,-9999.0,37.214,37.205,-9999.0,24.25,-99999.0,24.26,-9999.0,18.9,7.9 -602,2020-08-25 12:00:00+00:00,-9999.0,37.228,37.218,-9999.0,24.23,-99999.0,24.24,-9999.0,33.1,8.1 -603,2020-08-26 12:00:00+00:00,-9999.0,37.235,37.22,-9999.0,24.24,-99999.0,24.23,-9999.0,42.0,4.1 -604,2020-08-27 12:00:00+00:00,-9999.0,37.269,37.255,-9999.0,24.4,-99999.0,24.37,-9999.0,276.60001,5.2 -605,2020-08-28 12:00:00+00:00,-9999.0,37.271,37.258,-9999.0,24.39,-99999.0,24.38,-9999.0,289.70001,6.4 -606,2020-08-29 12:00:00+00:00,-9999.0,37.281,-9999.0,-9999.0,24.44,-99999.0,-9999.0,-9999.0,281.5,6.9 -607,2020-08-30 12:00:00+00:00,-9999.0,37.289,-9999.0,-9999.0,24.49,-99999.0,-9999.0,-9999.0,282.20001,6.5 -608,2020-08-31 12:00:00+00:00,-9999.0,37.305,-9999.0,-9999.0,24.54,-99999.0,-9999.0,-9999.0,286.39999,5.3 -609,2020-09-01 12:00:00+00:00,-9999.0,37.32,-9999.0,-9999.0,24.58,-99999.0,-9999.0,-9999.0,311.89999,6.4 -610,2020-09-02 12:00:00+00:00,-9999.0,37.332,-9999.0,-9999.0,24.59,-99999.0,-9999.0,-9999.0,318.10001,7.2 -611,2020-09-03 12:00:00+00:00,-9999.0,37.33,-9999.0,-9999.0,24.57,-99999.0,-9999.0,-9999.0,297.29999,6.4 -612,2020-09-04 12:00:00+00:00,-9999.0,37.336,-9999.0,-9999.0,24.61,-99999.0,-9999.0,-9999.0,282.89999,6.0 -613,2020-09-05 12:00:00+00:00,-9999.0,37.337,-9999.0,-9999.0,24.63,-99999.0,-9999.0,-9999.0,296.70001,5.8 -614,2020-09-06 12:00:00+00:00,-9999.0,37.327,-9999.0,-9999.0,24.6,-99999.0,-9999.0,-9999.0,297.89999,5.9 -615,2020-09-07 12:00:00+00:00,-9999.0,37.33,-9999.0,-9999.0,24.61,-99999.0,-9999.0,-9999.0,287.79999,5.2 -616,2020-09-08 12:00:00+00:00,-9999.0,37.337,-9999.0,-9999.0,24.63,-99999.0,-9999.0,-9999.0,280.29999,5.4 -617,2020-09-09 12:00:00+00:00,-9999.0,37.341,-9999.0,-9999.0,24.65,-99999.0,-9999.0,-9999.0,281.0,5.0 -618,2020-09-10 12:00:00+00:00,-9999.0,37.344,-9999.0,-9999.0,24.66,-99999.0,-9999.0,-9999.0,284.39999,6.2 -619,2020-09-11 12:00:00+00:00,-9999.0,37.345,-9999.0,-9999.0,24.66,-99999.0,-9999.0,-9999.0,278.0,5.7 -620,2020-09-12 12:00:00+00:00,-9999.0,37.35,-9999.0,-9999.0,24.7,-99999.0,-9999.0,-9999.0,299.5,6.7 -621,2020-09-13 12:00:00+00:00,-9999.0,37.346,-9999.0,-9999.0,24.67,-99999.0,-9999.0,-9999.0,288.89999,7.6 -622,2020-09-14 12:00:00+00:00,-9999.0,37.336,-9999.0,-9999.0,24.64,-99999.0,-9999.0,-9999.0,287.5,7.0 -623,2020-09-15 12:00:00+00:00,-9999.0,37.325,-9999.0,-9999.0,24.61,-99999.0,-9999.0,-9999.0,279.70001,3.1 -624,2020-09-16 12:00:00+00:00,-9999.0,37.32,-9999.0,-9999.0,24.63,-99999.0,-9999.0,-9999.0,314.60001,5.0 -625,2020-09-17 12:00:00+00:00,-9999.0,37.323,-9999.0,-9999.0,24.63,-99999.0,-9999.0,-9999.0,282.39999,4.8 -626,2020-09-18 12:00:00+00:00,-9999.0,37.324,-9999.0,-9999.0,24.66,-99999.0,-9999.0,-9999.0,263.70001,5.3 -627,2020-09-19 12:00:00+00:00,-9999.0,37.326,-9999.0,-9999.0,24.68,-99999.0,-9999.0,-9999.0,260.5,6.4 -628,2020-09-20 12:00:00+00:00,-9999.0,37.33,-9999.0,-9999.0,24.7,-99999.0,-9999.0,-9999.0,251.89999,5.9 -629,2020-09-21 12:00:00+00:00,-9999.0,37.344,-9999.0,-9999.0,24.77,-99999.0,-9999.0,-9999.0,266.0,4.8 -630,2020-09-22 12:00:00+00:00,-9999.0,37.352,-9999.0,-9999.0,24.84,-99999.0,-9999.0,-9999.0,258.5,3.9 -631,2020-09-23 12:00:00+00:00,-9999.0,37.349,-9999.0,-9999.0,24.84,-99999.0,-9999.0,-9999.0,297.70001,5.0 -632,2020-09-24 12:00:00+00:00,-9999.0,37.346,-9999.0,-9999.0,24.82,-99999.0,-9999.0,-9999.0,302.29999,5.2 -633,2020-09-25 12:00:00+00:00,-9999.0,37.344,-9999.0,-9999.0,24.83,-99999.0,-9999.0,-9999.0,292.70001,4.8 -634,2020-09-26 12:00:00+00:00,-9999.0,37.355,-9999.0,-9999.0,24.91,-99999.0,-9999.0,-9999.0,281.20001,4.3 -635,2020-09-27 12:00:00+00:00,-9999.0,37.36,-9999.0,-9999.0,24.98,-99999.0,-9999.0,-9999.0,265.79999,5.4 -636,2020-09-28 12:00:00+00:00,-9999.0,37.359,-9999.0,-9999.0,24.97,-99999.0,-9999.0,-9999.0,248.3,5.1 -637,2020-09-29 12:00:00+00:00,-9999.0,37.368,-9999.0,-9999.0,25.03,-99999.0,-9999.0,-9999.0,253.8,4.6 -638,2020-09-30 12:00:00+00:00,-9999.0,37.365,-9999.0,-9999.0,25.08,-99999.0,-9999.0,-9999.0,285.10001,4.3 -639,2020-10-01 12:00:00+00:00,-9999.0,37.373,-9999.0,-9999.0,25.13,-99999.0,-9999.0,-9999.0,279.70001,5.2 -640,2020-10-02 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,261.60001,5.3 -641,2020-10-03 12:00:00+00:00,-9999.0,37.382,-9999.0,-9999.0,25.14,-99999.0,-9999.0,-9999.0,230.10001,4.5 -642,2020-10-04 12:00:00+00:00,-9999.0,37.386,-9999.0,-9999.0,25.17,-99999.0,-9999.0,-9999.0,222.8,1.8 -643,2020-10-05 12:00:00+00:00,-9999.0,37.389,-9999.0,-9999.0,25.23,-99999.0,-9999.0,-9999.0,321.10001,3.3 -644,2020-10-06 12:00:00+00:00,-9999.0,37.402,-9999.0,-9999.0,25.33,-99999.0,-9999.0,-9999.0,271.79999,6.9 -645,2020-10-07 12:00:00+00:00,-9999.0,37.414,-9999.0,-9999.0,25.39,-99999.0,-9999.0,-9999.0,201.0,5.2 -646,2020-10-08 12:00:00+00:00,-9999.0,37.414,-9999.0,-9999.0,25.44,-99999.0,-9999.0,-9999.0,182.60001,5.0 -647,2020-10-09 12:00:00+00:00,-9999.0,37.4,-9999.0,-9999.0,25.47,-99999.0,-9999.0,-9999.0,181.7,6.0 -648,2020-10-10 12:00:00+00:00,-9999.0,37.39,-9999.0,-9999.0,25.42,-99999.0,-9999.0,-9999.0,186.10001,7.2 -649,2020-10-11 12:00:00+00:00,-9999.0,37.373,-9999.0,-9999.0,25.36,-99999.0,-9999.0,-9999.0,161.7,2.2 -650,2020-10-12 12:00:00+00:00,-9999.0,37.369,-9999.0,-9999.0,25.26,-99999.0,-9999.0,-9999.0,334.60001,8.0 -651,2020-10-13 12:00:00+00:00,-9999.0,37.368,-9999.0,-9999.0,25.21,-99999.0,-9999.0,-9999.0,311.89999,8.3 -652,2020-10-14 12:00:00+00:00,-9999.0,37.37,-9999.0,-9999.0,25.22,-99999.0,-9999.0,-9999.0,248.60001,4.5 -653,2020-10-15 12:00:00+00:00,-9999.0,37.366,-9999.0,-9999.0,25.18,-99999.0,-9999.0,-9999.0,207.0,5.5 -654,2020-10-16 12:00:00+00:00,-9999.0,37.373,-9999.0,-9999.0,25.28,-99999.0,-9999.0,-9999.0,170.0,2.7 -655,2020-10-17 12:00:00+00:00,-9999.0,37.383,-9999.0,-9999.0,25.35,-99999.0,-9999.0,-9999.0,0.9,6.2 -656,2020-10-18 12:00:00+00:00,-9999.0,37.399,-9999.0,-9999.0,25.4,-99999.0,-9999.0,-9999.0,325.29999,7.5 -657,2020-10-19 12:00:00+00:00,-9999.0,37.402,-9999.0,-9999.0,25.4,-99999.0,-9999.0,-9999.0,310.79999,7.5 -658,2020-10-20 12:00:00+00:00,-9999.0,37.408,-9999.0,-9999.0,25.46,-99999.0,-9999.0,-9999.0,236.5,6.1 -659,2020-10-21 12:00:00+00:00,-9999.0,37.412,-9999.0,-9999.0,25.54,-99999.0,-9999.0,-9999.0,267.79999,4.4 -660,2020-10-22 12:00:00+00:00,-9999.0,37.411,-9999.0,-9999.0,25.69,-99999.0,-9999.0,-9999.0,284.70001,2.8 -661,2020-10-23 12:00:00+00:00,-9999.0,37.414,-9999.0,-9999.0,25.72,-99999.0,-9999.0,-9999.0,313.10001,5.7 -662,2020-10-24 12:00:00+00:00,-9999.0,37.417,-9999.0,-9999.0,25.82,-99999.0,-9999.0,-9999.0,277.60001,6.2 -663,2020-10-25 12:00:00+00:00,-9999.0,37.417,-9999.0,-9999.0,25.79,-99999.0,-9999.0,-9999.0,235.39999,6.5 -664,2020-10-26 12:00:00+00:00,-9999.0,37.412,-9999.0,-9999.0,25.78,-99999.0,-9999.0,-9999.0,197.60001,9.5 -665,2020-10-27 12:00:00+00:00,-9999.0,37.353,-9999.0,-9999.0,25.65,-99999.0,-9999.0,-9999.0,212.3,7.2 -666,2020-10-28 12:00:00+00:00,-9999.0,37.323,-9999.0,-9999.0,25.62,-99999.0,-9999.0,-9999.0,237.2,9.0 -667,2020-10-29 12:00:00+00:00,-9999.0,37.334,-9999.0,-9999.0,25.6,-99999.0,-9999.0,-9999.0,243.10001,7.8 -668,2020-10-30 12:00:00+00:00,-9999.0,37.322,-9999.0,-9999.0,25.68,-99999.0,-9999.0,-9999.0,255.7,7.1 -669,2020-10-31 12:00:00+00:00,-9999.0,37.337,-9999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0 -670,2020-11-01 12:00:00+00:00,-9999.0,37.349,-9999.0,-9999.0,25.67,-99999.0,-9999.0,-9999.0,195.2,7.0 -671,2020-11-02 12:00:00+00:00,-9999.0,37.329,-9999.0,-9999.0,25.55,-99999.0,-9999.0,-9999.0,7.0,7.0 -672,2020-11-03 12:00:00+00:00,-9999.0,37.316,-9999.0,-9999.0,25.51,-99999.0,-9999.0,-9999.0,339.20001,7.2 -673,2020-11-04 12:00:00+00:00,-9999.0,37.265,-9999.0,-9999.0,25.41,-99999.0,-9999.0,-9999.0,319.89999,7.9 -674,2020-11-05 12:00:00+00:00,-9999.0,37.208,-9999.0,-9999.0,25.33,-99999.0,-9999.0,-9999.0,326.79999,7.5 -675,2020-11-06 12:00:00+00:00,-9999.0,37.194,-9999.0,-9999.0,25.31,-99999.0,-9999.0,-9999.0,291.0,4.1 -676,2020-11-07 12:00:00+00:00,-9999.0,37.199,-9999.0,-9999.0,25.39,-99999.0,-9999.0,-9999.0,248.60001,4.5 -677,2020-11-08 12:00:00+00:00,-9999.0,37.208,-9999.0,-9999.0,25.56,-99999.0,-9999.0,-9999.0,243.7,5.1 -678,2020-11-09 12:00:00+00:00,-9999.0,37.196,-9999.0,-9999.0,25.57,-99999.0,-9999.0,-9999.0,250.8,4.9 -679,2020-11-10 12:00:00+00:00,-9999.0,37.183,-9999.0,-9999.0,25.66,-99999.0,-9999.0,-9999.0,252.8,5.1 -680,2020-11-11 12:00:00+00:00,-9999.0,37.191,-9999.0,-9999.0,25.72,-99999.0,-9999.0,-9999.0,269.79999,5.5 -681,2020-11-12 12:00:00+00:00,-9999.0,37.194,-9999.0,-9999.0,25.74,-99999.0,-9999.0,-9999.0,243.60001,4.9 -682,2020-11-13 12:00:00+00:00,-9999.0,37.202,-9999.0,-9999.0,25.74,-99999.0,-9999.0,-9999.0,240.60001,6.5 -683,2020-11-14 12:00:00+00:00,-9999.0,37.211,-9999.0,-9999.0,25.77,-99999.0,-9999.0,-9999.0,227.0,6.8 -684,2020-11-15 12:00:00+00:00,-9999.0,37.23,-9999.0,-9999.0,25.87,-99999.0,-9999.0,-9999.0,185.2,5.8 -685,2020-11-16 12:00:00+00:00,-9999.0,37.249,-9999.0,-9999.0,25.93,-99999.0,-9999.0,-9999.0,182.60001,6.7 -686,2020-11-17 12:00:00+00:00,-9999.0,37.258,-9999.0,-9999.0,25.94,-99999.0,-9999.0,-9999.0,196.89999,7.9 -687,2020-11-18 12:00:00+00:00,-9999.0,37.257,-9999.0,-9999.0,25.99,-99999.0,-9999.0,-9999.0,188.0,7.5 -688,2020-11-19 12:00:00+00:00,-9999.0,37.259,-9999.0,-9999.0,26.06,-99999.0,-9999.0,-9999.0,210.10001,7.2 -689,2020-11-20 12:00:00+00:00,-9999.0,37.264,-9999.0,-9999.0,26.07,-99999.0,-9999.0,-9999.0,204.7,8.7 -690,2020-11-21 12:00:00+00:00,-9999.0,37.273,-9999.0,-9999.0,26.06,-99999.0,-9999.0,-9999.0,204.10001,7.8 -691,2020-11-22 12:00:00+00:00,-9999.0,37.273,-9999.0,-9999.0,26.08,-99999.0,-9999.0,-9999.0,243.5,4.7 -692,2020-11-23 12:00:00+00:00,-9999.0,37.265,-9999.0,-9999.0,26.11,-99999.0,-9999.0,-9999.0,298.10001,4.7 -693,2020-11-24 12:00:00+00:00,-9999.0,37.263,-9999.0,-9999.0,26.18,-99999.0,-9999.0,-9999.0,301.20001,5.7 -694,2020-11-25 12:00:00+00:00,-9999.0,37.286,-9999.0,-9999.0,26.15,-99999.0,-9999.0,-9999.0,306.5,6.9 -695,2020-11-26 12:00:00+00:00,-9999.0,37.31,-9999.0,-9999.0,26.15,-99999.0,-9999.0,-9999.0,294.60001,6.7 -696,2020-11-27 12:00:00+00:00,-9999.0,37.308,-9999.0,-9999.0,26.15,-99999.0,-9999.0,-9999.0,284.89999,6.7 -697,2020-11-28 12:00:00+00:00,-9999.0,37.304,-9999.0,-9999.0,26.16,-99999.0,-9999.0,-9999.0,292.0,7.8 -698,2020-11-29 12:00:00+00:00,-9999.0,37.296,-9999.0,-9999.0,26.16,-99999.0,-9999.0,-9999.0,289.89999,7.2 -699,2020-11-30 12:00:00+00:00,-9999.0,37.297,-9999.0,-9999.0,26.14,-99999.0,-9999.0,-9999.0,263.20001,6.1 -700,2020-12-01 12:00:00+00:00,-9999.0,37.308,-9999.0,-9999.0,26.14,-99999.0,-9999.0,-9999.0,236.2,5.9 -701,2020-12-02 12:00:00+00:00,-9999.0,37.317,-9999.0,-9999.0,26.2,-99999.0,-9999.0,-9999.0,222.2,5.5 -702,2020-12-03 12:00:00+00:00,-9999.0,37.305,-9999.0,-9999.0,26.26,-99999.0,-9999.0,-9999.0,223.8,5.9 -703,2020-12-04 12:00:00+00:00,-9999.0,37.303,-9999.0,-9999.0,26.3,-99999.0,-9999.0,-9999.0,235.10001,6.3 -704,2020-12-05 12:00:00+00:00,-9999.0,37.302,-9999.0,-9999.0,26.34,-99999.0,-9999.0,-9999.0,252.3,5.5 -705,2020-12-06 12:00:00+00:00,-9999.0,37.304,-9999.0,-9999.0,26.36,-99999.0,-9999.0,-9999.0,265.20001,5.0 -706,2020-12-07 12:00:00+00:00,-9999.0,37.316,-9999.0,-9999.0,26.37,-99999.0,-9999.0,-9999.0,258.10001,5.8 -707,2020-12-08 12:00:00+00:00,-9999.0,37.322,-9999.0,-9999.0,26.37,-99999.0,-9999.0,-9999.0,238.7,6.3 -708,2020-12-09 12:00:00+00:00,-9999.0,37.325,-9999.0,-9999.0,26.37,-99999.0,-9999.0,-9999.0,214.2,6.8 -709,2020-12-10 12:00:00+00:00,-9999.0,37.326,-9999.0,-9999.0,26.42,-99999.0,-9999.0,-9999.0,211.39999,7.0 -710,2020-12-11 12:00:00+00:00,-9999.0,37.327,-9999.0,-9999.0,26.45,-99999.0,-9999.0,-9999.0,227.60001,6.4 -711,2020-12-12 12:00:00+00:00,-9999.0,37.329,-9999.0,-9999.0,26.51,-99999.0,-9999.0,-9999.0,263.10001,5.5 -712,2020-12-13 12:00:00+00:00,-9999.0,37.338,-9999.0,-9999.0,26.64,-99999.0,-9999.0,-9999.0,273.60001,5.3 -713,2020-12-14 12:00:00+00:00,-9999.0,37.352,-9999.0,-9999.0,26.74,-99999.0,-9999.0,-9999.0,260.5,6.4 -714,2020-12-15 12:00:00+00:00,-9999.0,37.353,-9999.0,-9999.0,26.73,-99999.0,-9999.0,-9999.0,260.0,5.8 -715,2020-12-16 12:00:00+00:00,-9999.0,37.379,-9999.0,-9999.0,26.85,-99999.0,-9999.0,-9999.0,264.39999,7.0 -716,2020-12-17 12:00:00+00:00,-9999.0,37.368,-9999.0,-9999.0,27.02,-99999.0,-9999.0,-9999.0,263.39999,7.3 -717,2020-12-18 12:00:00+00:00,-9999.0,37.317,-9999.0,-9999.0,27.15,-99999.0,-9999.0,-9999.0,254.39999,6.9 -718,2020-12-19 12:00:00+00:00,-9999.0,37.332,-9999.0,-9999.0,27.13,-99999.0,-9999.0,-9999.0,233.3,6.4 -719,2020-12-20 12:00:00+00:00,-9999.0,37.384,-9999.0,-9999.0,27.03,-99999.0,-9999.0,-9999.0,231.60001,7.2 -720,2020-12-21 12:00:00+00:00,-9999.0,37.385,-9999.0,-9999.0,27.0,-99999.0,-9999.0,-9999.0,242.3,6.3 -721,2020-12-22 12:00:00+00:00,-9999.0,37.341,-9999.0,-9999.0,27.08,-99999.0,-9999.0,-9999.0,203.89999,5.7 -722,2020-12-23 12:00:00+00:00,-9999.0,37.286,-9999.0,-9999.0,27.23,-99999.0,-9999.0,-9999.0,223.8,5.9 -723,2020-12-24 12:00:00+00:00,-9999.0,37.286,-9999.0,-9999.0,27.3,-99999.0,-9999.0,-9999.0,243.8,5.3 -724,2020-12-25 12:00:00+00:00,-9999.0,37.281,-9999.0,-9999.0,27.34,-99999.0,-9999.0,-9999.0,239.3,6.9 -725,2020-12-26 12:00:00+00:00,-9999.0,37.263,-9999.0,-9999.0,27.35,-99999.0,-9999.0,-9999.0,247.60001,7.0 -726,2020-12-27 12:00:00+00:00,-9999.0,37.251,-9999.0,-9999.0,27.38,-99999.0,-9999.0,-9999.0,262.20001,6.5 -727,2020-12-28 12:00:00+00:00,-9999.0,37.258,-9999.0,-9999.0,27.35,-99999.0,-9999.0,-9999.0,280.20001,6.1 -728,2020-12-29 12:00:00+00:00,-9999.0,37.27,-9999.0,-9999.0,27.33,-99999.0,-9999.0,-9999.0,274.0,7.2 -729,2020-12-30 12:00:00+00:00,-9999.0,37.256,-9999.0,-9999.0,27.36,-99999.0,-9999.0,-9999.0,249.8,6.1 -730,2020-12-31 12:00:00+00:00,-9999.0,37.261,-9999.0,-9999.0,27.35,-99999.0,-9999.0,-9999.0,243.89999,5.7 -731,2021-01-01 12:00:00+00:00,-9999.0,37.269,-9999.0,-9999.0,27.36,-99999.0,-9999.0,-9999.0,242.2,6.1 -732,2021-01-02 12:00:00+00:00,-9999.0,37.272,-9999.0,-9999.0,27.35,-99999.0,-9999.0,-9999.0,241.60001,5.3 -733,2021-01-03 12:00:00+00:00,-9999.0,37.274,-9999.0,-9999.0,27.38,-99999.0,-9999.0,-9999.0,240.60001,6.5 -734,2021-01-04 12:00:00+00:00,-9999.0,37.257,-9999.0,-9999.0,27.35,-99999.0,-9999.0,-9999.0,259.70001,7.6 -735,2021-01-05 12:00:00+00:00,-9999.0,37.254,-9999.0,-9999.0,27.34,-99999.0,-9999.0,-9999.0,261.10001,5.5 -736,2021-01-06 12:00:00+00:00,-9999.0,37.259,-9999.0,-9999.0,27.36,-99999.0,-9999.0,-9999.0,250.8,4.9 -737,2021-01-07 12:00:00+00:00,-9999.0,37.266,-9999.0,-9999.0,27.39,-99999.0,-9999.0,-9999.0,241.89999,5.7 -738,2021-01-08 12:00:00+00:00,-9999.0,37.274,-9999.0,-9999.0,27.39,-99999.0,-9999.0,-9999.0,234.3,6.0 -739,2021-01-09 12:00:00+00:00,-9999.0,37.292,-9999.0,-9999.0,27.4,-99999.0,-9999.0,-9999.0,232.0,5.8 -740,2021-01-10 12:00:00+00:00,-9999.0,37.303,-9999.0,-9999.0,27.43,-99999.0,-9999.0,-9999.0,254.39999,5.5 -741,2021-01-11 12:00:00+00:00,-9999.0,37.319,-9999.0,-9999.0,27.49,-99999.0,-9999.0,-9999.0,267.0,5.6 -742,2021-01-12 12:00:00+00:00,-9999.0,37.307,-9999.0,-9999.0,27.48,-99999.0,-9999.0,-9999.0,260.60001,4.9 -743,2021-01-13 12:00:00+00:00,-9999.0,37.316,-9999.0,-9999.0,27.5,-99999.0,-9999.0,-9999.0,269.39999,6.6 -744,2021-01-14 12:00:00+00:00,-9999.0,37.349,-9999.0,-9999.0,27.56,-99999.0,-9999.0,-9999.0,253.60001,6.1 -745,2021-01-15 12:00:00+00:00,-9999.0,37.373,-9999.0,-9999.0,27.6,-99999.0,-9999.0,-9999.0,268.79999,6.7 -746,2021-01-16 12:00:00+00:00,-9999.0,37.362,-9999.0,-9999.0,27.55,-99999.0,-9999.0,-9999.0,276.10001,7.2 -747,2021-01-17 12:00:00+00:00,-9999.0,37.351,-9999.0,-9999.0,27.58,-99999.0,-9999.0,-9999.0,284.70001,5.2 -748,2021-01-18 12:00:00+00:00,-9999.0,37.356,-9999.0,-9999.0,27.56,-99999.0,-9999.0,-9999.0,256.89999,5.4 -749,2021-01-19 12:00:00+00:00,-9999.0,37.373,-9999.0,-9999.0,27.68,-99999.0,-9999.0,-9999.0,265.10001,5.6 -750,2021-01-20 12:00:00+00:00,-9999.0,37.376,-9999.0,-9999.0,27.63,-99999.0,-9999.0,-9999.0,267.79999,4.4 -751,2021-01-21 12:00:00+00:00,-9999.0,37.378,-9999.0,-9999.0,27.61,-99999.0,-9999.0,-9999.0,266.89999,4.6 -752,2021-01-22 12:00:00+00:00,-9999.0,37.456,-9999.0,-9999.0,27.66,-99999.0,-9999.0,-9999.0,288.29999,6.0 -753,2021-01-23 12:00:00+00:00,-9999.0,37.446,-9999.0,-9999.0,27.53,-99999.0,-9999.0,-9999.0,287.0,6.1 -754,2021-01-24 12:00:00+00:00,-9999.0,37.415,-9999.0,-9999.0,27.56,-99999.0,-9999.0,-9999.0,277.0,5.9 -755,2021-01-25 12:00:00+00:00,-9999.0,37.39,-9999.0,-9999.0,27.59,-99999.0,-9999.0,-9999.0,263.20001,6.1 -756,2021-01-26 12:00:00+00:00,-9999.0,37.412,-9999.0,-9999.0,27.53,-99999.0,-9999.0,-9999.0,275.70001,6.5 -757,2021-01-27 12:00:00+00:00,-9999.0,37.424,-9999.0,-9999.0,27.57,-99999.0,-9999.0,-9999.0,278.0,5.7 -758,2021-01-28 12:00:00+00:00,-9999.0,37.376,-9999.0,-9999.0,27.74,-99999.0,-9999.0,-9999.0,261.60001,5.3 -759,2021-01-29 12:00:00+00:00,-9999.0,37.377,-9999.0,-9999.0,27.8,-99999.0,-9999.0,-9999.0,263.20001,6.1 -760,2021-01-30 12:00:00+00:00,-9999.0,37.346,-9999.0,-9999.0,27.91,-99999.0,-9999.0,-9999.0,263.20001,6.1 -761,2021-01-31 12:00:00+00:00,-9999.0,37.346,-9999.0,-9999.0,27.98,-99999.0,-9999.0,-9999.0,267.0,5.6 -762,2021-02-01 12:00:00+00:00,-9999.0,37.31,-9999.0,-9999.0,27.94,-99999.0,-9999.0,-9999.0,274.29999,6.0 -763,2021-02-02 12:00:00+00:00,-9999.0,37.3,-9999.0,-9999.0,27.88,-99999.0,-9999.0,-9999.0,259.60001,6.8 -764,2021-02-03 12:00:00+00:00,-9999.0,37.304,-9999.0,-9999.0,27.86,-99999.0,-9999.0,-9999.0,261.89999,4.5 -765,2021-02-04 12:00:00+00:00,-9999.0,37.299,-9999.0,-9999.0,27.84,-99999.0,-9999.0,-9999.0,243.7,5.1 -766,2021-02-05 12:00:00+00:00,-9999.0,37.286,-9999.0,-9999.0,27.79,-99999.0,-9999.0,-9999.0,194.89999,6.7 -767,2021-02-06 12:00:00+00:00,-9999.0,37.293,-9999.0,-9999.0,27.82,-99999.0,-9999.0,-9999.0,195.5,8.7 -768,2021-02-07 12:00:00+00:00,-9999.0,37.298,-9999.0,-9999.0,27.87,-99999.0,-9999.0,-9999.0,193.2,6.3 -769,2021-02-08 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12:00:00+00:00,-9999.0,37.687,-9999.0,24.69,24.66,-99999.0,24.71,24.7,256.89999,6.4 -1717,2023-09-14 12:00:00+00:00,-9999.0,37.673,-9999.0,24.64,24.6,-99999.0,24.63,24.64,233.0,5.5 -1718,2023-09-15 12:00:00+00:00,-9999.0,37.737,-9999.0,24.94,24.8,-99999.0,24.83,24.89,232.60001,4.5 -1719,2023-09-16 12:00:00+00:00,-9999.0,37.774,-9999.0,25.15,25.0,-99999.0,25.0,25.08,259.39999,4.5 -1720,2023-09-17 12:00:00+00:00,-9999.0,37.782,-9999.0,25.08,25.04,-99999.0,25.05,25.08,277.60001,6.2 From 2519c8baabe613d638cfe53cd7c56ecb01546d78 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 4 Oct 2024 17:51:52 -0300 Subject: [PATCH 36/90] Delete dados/dados_pirata.csv --- dados/dados_pirata.csv | 1723 ---------------------------------------- 1 file changed, 1723 deletions(-) delete mode 100644 dados/dados_pirata.csv diff --git a/dados/dados_pirata.csv b/dados/dados_pirata.csv deleted file mode 100644 index 8b46fb3..0000000 --- a/dados/dados_pirata.csv +++ /dev/null @@ -1,1723 +0,0 @@ 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12:00:00+00:00,36.968,-99999.0,37.028,27.19,-99999.0,-99999.0,27.16,-99999.0,279.20001,6.6 -10,2019-01-11 12:00:00+00:00,36.984,-99999.0,37.039,27.22,-99999.0,-99999.0,27.17,-99999.0,283.70001,6.3 -11,2019-01-12 12:00:00+00:00,36.995,-99999.0,37.05,27.27,-99999.0,-99999.0,27.2,-99999.0,289.39999,3.9 -12,2019-01-13 12:00:00+00:00,37.0,-99999.0,37.059,27.28,-99999.0,-99999.0,27.23,-99999.0,277.79999,5.4 -13,2019-01-14 12:00:00+00:00,37.02,-99999.0,37.078,27.28,-99999.0,-99999.0,27.23,-99999.0,278.5,5.7 -14,2019-01-15 12:00:00+00:00,37.027,-99999.0,37.083,27.33,-99999.0,-99999.0,27.26,-99999.0,280.20001,5.8 -15,2019-01-16 12:00:00+00:00,37.034,-99999.0,37.09,27.38,-99999.0,-99999.0,27.3,-99999.0,285.79999,5.7 -16,2019-01-17 12:00:00+00:00,37.06,-99999.0,37.117,27.41,-99999.0,-99999.0,27.37,-99999.0,273.10001,6.7 -17,2019-01-18 12:00:00+00:00,37.098,-99999.0,37.151,27.47,-99999.0,-99999.0,27.37,-99999.0,272.20001,6.0 -18,2019-01-19 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12:00:00+00:00,36.833,-99999.0,36.889,28.08,-99999.0,-99999.0,27.96,-99999.0,273.10001,4.1 -37,2019-02-07 12:00:00+00:00,36.842,-99999.0,36.896,28.01,-99999.0,-99999.0,27.97,-99999.0,268.70001,5.8 -38,2019-02-08 12:00:00+00:00,36.844,-99999.0,36.899,27.96,-99999.0,-99999.0,27.93,-99999.0,263.60001,5.5 -39,2019-02-09 12:00:00+00:00,36.839,-99999.0,36.895,28.0,-99999.0,-99999.0,27.96,-99999.0,265.5,6.1 -40,2019-02-10 12:00:00+00:00,36.847,-99999.0,36.902,28.0,-99999.0,-99999.0,27.97,-99999.0,278.70001,6.4 -41,2019-02-11 12:00:00+00:00,36.839,-99999.0,36.895,28.03,-99999.0,-99999.0,27.98,-99999.0,276.20001,6.4 -42,2019-02-12 12:00:00+00:00,36.837,-99999.0,36.891,28.04,-99999.0,-99999.0,27.99,-99999.0,271.10001,5.3 -43,2019-02-13 12:00:00+00:00,36.829,-99999.0,36.884,28.09,-99999.0,-99999.0,27.99,-99999.0,243.8,4.3 -44,2019-02-14 12:00:00+00:00,36.831,-99999.0,36.883,28.19,-99999.0,-99999.0,28.02,-99999.0,243.10001,3.5 -45,2019-02-15 12:00:00+00:00,36.833,-99999.0,36.884,28.29,-99999.0,-99999.0,28.04,-99999.0,238.89999,3.1 -46,2019-02-16 12:00:00+00:00,36.833,-99999.0,36.883,28.29,-99999.0,-99999.0,28.09,-99999.0,233.10001,4.4 -47,2019-02-17 12:00:00+00:00,36.833,-99999.0,36.885,28.31,-99999.0,-99999.0,28.13,-99999.0,238.7,4.5 -48,2019-02-18 12:00:00+00:00,36.836,-99999.0,36.887,28.46,-99999.0,-99999.0,28.16,-99999.0,270.10001,3.6 -49,2019-02-19 12:00:00+00:00,36.844,-99999.0,36.895,28.45,-99999.0,-99999.0,28.22,-99999.0,282.29999,4.5 -50,2019-02-20 12:00:00+00:00,36.848,-99999.0,36.9,28.51,-99999.0,-99999.0,28.26,-99999.0,265.79999,4.3 -51,2019-02-21 12:00:00+00:00,36.85,-99999.0,36.905,28.53,-99999.0,-99999.0,28.27,-99999.0,271.89999,4.3 -52,2019-02-22 12:00:00+00:00,36.86,-99999.0,36.917,28.69,-99999.0,-99999.0,28.33,-99999.0,263.89999,3.5 -53,2019-02-23 12:00:00+00:00,36.838,-99999.0,36.92,28.99,-99999.0,-99999.0,28.38,-99999.0,262.39999,1.6 -54,2019-02-24 12:00:00+00:00,36.894,-99999.0,36.926,28.99,-99999.0,-99999.0,28.43,-99999.0,223.89999,2.7 -55,2019-02-25 12:00:00+00:00,36.891,-99999.0,36.921,29.22,-99999.0,-99999.0,28.5,-99999.0,205.89999,2.0 -56,2019-02-26 12:00:00+00:00,36.946,-99999.0,36.988,29.25,-99999.0,-99999.0,28.64,-99999.0,239.8,3.5 -57,2019-02-27 12:00:00+00:00,36.949,-99999.0,36.983,29.16,-99999.0,-99999.0,28.68,-99999.0,237.5,3.9 -58,2019-02-28 12:00:00+00:00,36.947,-99999.0,37.024,29.13,-99999.0,-99999.0,28.72,-99999.0,257.79999,5.1 -59,2019-03-01 12:00:00+00:00,36.993,-99999.0,37.055,28.94,-99999.0,-99999.0,28.77,-99999.0,266.79999,5.8 -60,2019-03-02 12:00:00+00:00,37.104,-99999.0,37.179,28.93,-99999.0,-99999.0,28.68,-99999.0,278.10001,6.1 -61,2019-03-03 12:00:00+00:00,37.235,-99999.0,37.298,28.78,-99999.0,-99999.0,28.66,-99999.0,258.20001,5.9 -62,2019-03-04 12:00:00+00:00,37.148,-99999.0,37.262,28.69,-99999.0,-99999.0,28.64,-99999.0,266.79999,5.8 -63,2019-03-05 12:00:00+00:00,37.15,-99999.0,37.237,28.69,-99999.0,-99999.0,28.54,-99999.0,279.70001,6.2 -64,2019-03-06 12:00:00+00:00,37.182,-99999.0,37.244,28.66,-99999.0,-99999.0,28.6,-99999.0,291.5,5.4 -65,2019-03-07 12:00:00+00:00,37.194,-99999.0,37.247,28.77,-99999.0,-99999.0,28.62,-99999.0,280.20001,4.4 -66,2019-03-08 12:00:00+00:00,37.212,-99999.0,37.264,28.79,-99999.0,-99999.0,28.66,-99999.0,270.89999,4.9 -67,2019-03-09 12:00:00+00:00,37.23,-99999.0,37.289,28.85,-99999.0,-99999.0,28.7,-99999.0,273.10001,5.0 -68,2019-03-10 12:00:00+00:00,37.229,-99999.0,37.303,29.12,-99999.0,-99999.0,28.72,-99999.0,251.7,2.4 -69,2019-03-11 12:00:00+00:00,37.278,-99999.0,37.349,29.07,-99999.0,-99999.0,28.74,-99999.0,260.5,4.2 -70,2019-03-12 12:00:00+00:00,37.293,-99999.0,37.358,28.91,-99999.0,-99999.0,28.79,-99999.0,265.60001,5.5 -71,2019-03-13 12:00:00+00:00,37.327,-99999.0,37.388,28.83,-99999.0,-99999.0,28.81,-99999.0,281.60001,6.6 -72,2019-03-14 12:00:00+00:00,37.332,-99999.0,37.394,28.77,-99999.0,-99999.0,28.74,-99999.0,271.39999,6.2 -73,2019-03-15 12:00:00+00:00,37.346,-99999.0,37.408,28.89,-99999.0,-99999.0,28.72,-99999.0,273.10001,4.1 -74,2019-03-16 12:00:00+00:00,37.332,-99999.0,37.41,28.93,-99999.0,-99999.0,28.74,-99999.0,271.89999,4.3 -75,2019-03-17 12:00:00+00:00,37.284,-99999.0,37.398,29.04,-99999.0,-99999.0,28.77,-99999.0,277.5,3.6 -76,2019-03-18 12:00:00+00:00,37.241,-99999.0,37.386,29.16,-99999.0,-99999.0,28.82,-99999.0,259.5,2.8 -77,2019-03-19 12:00:00+00:00,37.214,-99999.0,37.356,29.19,-99999.0,-99999.0,28.86,-99999.0,229.2,3.5 -78,2019-03-20 12:00:00+00:00,37.244,-99999.0,37.329,29.15,-99999.0,-99999.0,28.96,-99999.0,205.3,4.3 -79,2019-03-21 12:00:00+00:00,37.262,-99999.0,37.33,29.1,-99999.0,-99999.0,29.03,-99999.0,206.89999,6.0 -80,2019-03-22 12:00:00+00:00,37.321,-99999.0,37.391,29.07,-99999.0,-99999.0,29.03,-99999.0,204.5,5.4 -81,2019-03-23 12:00:00+00:00,37.208,-99999.0,37.279,29.05,-99999.0,-99999.0,28.98,-99999.0,225.10001,5.0 -82,2019-03-24 12:00:00+00:00,37.188,-99999.0,37.253,29.01,-99999.0,-99999.0,28.98,-99999.0,229.39999,5.5 -83,2019-03-25 12:00:00+00:00,37.143,-99999.0,37.204,29.08,-99999.0,-99999.0,28.91,-99999.0,260.5,5.0 -84,2019-03-26 12:00:00+00:00,37.155,-99999.0,37.216,28.98,-99999.0,-99999.0,28.94,-99999.0,267.70001,6.6 -85,2019-03-27 12:00:00+00:00,37.104,-99999.0,37.172,28.93,-99999.0,-99999.0,28.84,-99999.0,288.5,5.4 -86,2019-03-28 12:00:00+00:00,37.064,-99999.0,37.124,28.93,-99999.0,-99999.0,28.85,-99999.0,296.10001,5.3 -87,2019-03-29 12:00:00+00:00,37.022,-99999.0,37.092,28.88,-99999.0,-99999.0,28.84,-99999.0,302.10001,4.7 -88,2019-03-30 12:00:00+00:00,36.962,-99999.0,37.064,28.74,-99999.0,-99999.0,28.77,-99999.0,276.60001,4.5 -89,2019-03-31 12:00:00+00:00,36.906,-99999.0,37.055,28.73,-99999.0,-99999.0,28.73,-99999.0,282.0,3.5 -90,2019-04-01 12:00:00+00:00,36.878,-99999.0,37.06,28.92,-99999.0,-99999.0,28.83,-99999.0,289.0,3.4 -91,2019-04-02 12:00:00+00:00,36.802,-99999.0,36.989,29.08,-99999.0,-99999.0,28.88,-99999.0,307.39999,2.2 -92,2019-04-03 12:00:00+00:00,36.828,-99999.0,36.911,29.31,-99999.0,-99999.0,28.97,-99999.0,308.20001,3.1 -93,2019-04-04 12:00:00+00:00,36.816,-99999.0,36.89,29.33,-99999.0,-99999.0,29.06,-99999.0,258.60001,3.0 -94,2019-04-05 12:00:00+00:00,36.768,-99999.0,36.869,29.12,-99999.0,-99999.0,29.07,-99999.0,265.89999,3.7 -95,2019-04-06 12:00:00+00:00,36.776,-99999.0,36.843,29.1,-99999.0,-99999.0,29.04,-99999.0,275.10001,5.0 -96,2019-04-07 12:00:00+00:00,36.762,-99999.0,36.814,29.05,-99999.0,-99999.0,29.01,-99999.0,277.79999,5.4 -97,2019-04-08 12:00:00+00:00,36.799,-99999.0,36.853,29.09,-99999.0,-99999.0,29.05,-99999.0,276.0,5.3 -98,2019-04-09 12:00:00+00:00,36.812,-99999.0,36.862,29.18,-99999.0,-99999.0,29.02,-99999.0,262.0,3.8 -99,2019-04-10 12:00:00+00:00,36.849,-99999.0,36.905,29.21,-99999.0,-99999.0,29.06,-99999.0,249.5,3.9 -100,2019-04-11 12:00:00+00:00,36.854,-99999.0,36.915,29.12,-99999.0,-99999.0,29.04,-99999.0,249.10001,4.5 -101,2019-04-12 12:00:00+00:00,36.861,-99999.0,36.921,29.19,-99999.0,-99999.0,29.06,-99999.0,259.70001,3.6 -102,2019-04-13 12:00:00+00:00,36.871,-99999.0,37.021,29.08,-99999.0,-99999.0,28.99,-99999.0,277.5,4.7 -103,2019-04-14 12:00:00+00:00,37.014,-99999.0,37.138,28.86,-99999.0,-99999.0,28.85,-99999.0,286.10001,6.0 -104,2019-04-15 12:00:00+00:00,37.14,-99999.0,37.195,28.85,-99999.0,-99999.0,28.8,-99999.0,279.0,5.2 -105,2019-04-16 12:00:00+00:00,37.185,-99999.0,37.231,28.92,-99999.0,-99999.0,28.78,-99999.0,291.5,4.0 -106,2019-04-17 12:00:00+00:00,37.26,-99999.0,37.314,29.01,-99999.0,-99999.0,28.88,-99999.0,259.70001,3.6 -107,2019-04-18 12:00:00+00:00,37.289,-99999.0,37.346,28.99,-99999.0,-99999.0,28.89,-99999.0,258.39999,4.0 -108,2019-04-19 12:00:00+00:00,37.294,-99999.0,37.348,28.95,-99999.0,-99999.0,28.9,-99999.0,256.39999,4.7 -109,2019-04-20 12:00:00+00:00,37.252,-99999.0,37.346,28.95,-99999.0,-99999.0,28.93,-99999.0,267.10001,5.2 -110,2019-04-21 12:00:00+00:00,37.076,-99999.0,37.156,28.84,-99999.0,-99999.0,28.8,-99999.0,282.5,5.5 -111,2019-04-22 12:00:00+00:00,37.068,-99999.0,37.123,28.82,-99999.0,-99999.0,28.8,-99999.0,281.20001,6.3 -112,2019-04-23 12:00:00+00:00,37.053,-99999.0,37.11,28.72,-99999.0,-99999.0,28.71,-99999.0,283.70001,6.3 -113,2019-04-24 12:00:00+00:00,37.02,-99999.0,37.075,28.62,-99999.0,-99999.0,28.6,-99999.0,294.10001,6.2 -114,2019-04-25 12:00:00+00:00,37.005,-99999.0,37.06,28.56,-99999.0,-99999.0,28.52,-99999.0,283.0,5.7 -115,2019-04-26 12:00:00+00:00,37.027,-99999.0,37.081,28.56,-99999.0,-99999.0,28.5,-99999.0,288.29999,5.1 -116,2019-04-27 12:00:00+00:00,37.064,-99999.0,37.118,28.61,-99999.0,-99999.0,28.52,-99999.0,284.39999,4.6 -117,2019-04-28 12:00:00+00:00,37.084,-99999.0,37.138,28.7,-99999.0,-99999.0,28.57,-99999.0,270.5,4.0 -118,2019-04-29 12:00:00+00:00,37.063,-99999.0,37.121,28.69,-99999.0,-99999.0,28.56,-99999.0,239.8,3.5 -119,2019-04-30 12:00:00+00:00,37.047,-99999.0,37.111,28.77,-99999.0,-99999.0,28.58,-99999.0,246.5,3.3 -120,2019-05-01 12:00:00+00:00,37.073,-99999.0,37.135,28.84,-99999.0,-99999.0,28.63,-99999.0,284.70001,3.6 -121,2019-05-02 12:00:00+00:00,37.118,-99999.0,37.171,28.86,-99999.0,-99999.0,28.69,-99999.0,256.0,2.6 -122,2019-05-03 12:00:00+00:00,37.15,-99999.0,37.204,28.76,-99999.0,-99999.0,28.7,-99999.0,257.79999,4.2 -123,2019-05-04 12:00:00+00:00,37.182,-99999.0,37.236,28.71,-99999.0,-99999.0,28.66,-99999.0,269.70001,4.6 -124,2019-05-05 12:00:00+00:00,37.179,-99999.0,37.235,28.65,-99999.0,-99999.0,28.62,-99999.0,280.20001,5.1 -125,2019-05-06 12:00:00+00:00,37.138,-99999.0,37.206,28.59,-99999.0,-99999.0,28.56,-99999.0,289.89999,5.0 -126,2019-05-07 12:00:00+00:00,37.075,-99999.0,37.153,28.57,-99999.0,-99999.0,28.54,-99999.0,267.5,5.6 -127,2019-05-08 12:00:00+00:00,37.005,-99999.0,37.082,28.68,-99999.0,-99999.0,28.53,-99999.0,270.5,2.1 -128,2019-05-09 12:00:00+00:00,36.926,-99999.0,37.004,28.72,-99999.0,-99999.0,28.58,-99999.0,309.89999,2.4 -129,2019-05-10 12:00:00+00:00,36.911,-99999.0,36.961,28.76,-99999.0,-99999.0,28.62,-99999.0,295.29999,2.3 -130,2019-05-11 12:00:00+00:00,36.883,-99999.0,36.964,28.86,-99999.0,-99999.0,28.64,-99999.0,294.5,2.8 -131,2019-05-12 12:00:00+00:00,36.996,-99999.0,37.052,28.63,-99999.0,-99999.0,28.61,-99999.0,284.10001,6.5 -132,2019-05-13 12:00:00+00:00,36.918,-99999.0,37.017,28.67,-99999.0,-99999.0,28.6,-99999.0,276.60001,4.5 -133,2019-05-14 12:00:00+00:00,36.872,-99999.0,36.963,28.6,-99999.0,-99999.0,28.6,-99999.0,246.5,4.7 -134,2019-05-15 12:00:00+00:00,36.963,-99999.0,37.035,28.64,-99999.0,-99999.0,28.61,-99999.0,221.5,3.4 -135,2019-05-16 12:00:00+00:00,36.825,-99999.0,36.892,28.64,-99999.0,-99999.0,28.62,-99999.0,244.0,4.7 -136,2019-05-17 12:00:00+00:00,36.93,-99999.0,36.994,28.64,-99999.0,-99999.0,28.57,-99999.0,266.70001,4.1 -137,2019-05-18 12:00:00+00:00,36.978,-99999.0,37.045,28.62,-99999.0,-99999.0,28.57,-99999.0,262.0,3.8 -138,2019-05-19 12:00:00+00:00,36.986,-99999.0,37.04,28.63,-99999.0,-99999.0,28.56,-99999.0,259.0,5.5 -139,2019-05-20 12:00:00+00:00,36.971,-99999.0,37.026,28.62,-99999.0,-99999.0,28.59,-99999.0,266.29999,5.3 -140,2019-05-21 12:00:00+00:00,36.955,-99999.0,37.01,28.62,-99999.0,-99999.0,28.58,-99999.0,280.20001,5.8 -141,2019-05-22 12:00:00+00:00,36.967,-99999.0,37.02,28.71,-99999.0,-99999.0,28.57,-99999.0,273.10001,4.1 -142,2019-05-23 12:00:00+00:00,36.985,-99999.0,37.036,28.72,-99999.0,-99999.0,28.58,-99999.0,286.29999,3.2 -143,2019-05-24 12:00:00+00:00,36.978,-99999.0,37.03,28.74,-99999.0,-99999.0,28.57,-99999.0,269.70001,3.2 -144,2019-05-25 12:00:00+00:00,37.0,-99999.0,37.053,28.59,-99999.0,-99999.0,28.53,-99999.0,257.79999,5.1 -145,2019-05-26 12:00:00+00:00,36.999,-99999.0,37.058,28.49,-99999.0,-99999.0,28.48,-99999.0,276.60001,4.5 -146,2019-05-27 12:00:00+00:00,36.966,-99999.0,37.042,28.51,-99999.0,-99999.0,28.51,-99999.0,294.89999,4.9 -147,2019-05-28 12:00:00+00:00,36.989,-99999.0,37.046,28.52,-99999.0,-99999.0,28.51,-99999.0,289.0,6.5 -148,2019-05-29 12:00:00+00:00,36.984,-99999.0,37.04,28.45,-99999.0,-99999.0,28.44,-99999.0,284.89999,6.1 -149,2019-05-30 12:00:00+00:00,36.988,-99999.0,37.053,28.38,-99999.0,-99999.0,28.37,-99999.0,278.10001,6.1 -150,2019-05-31 12:00:00+00:00,37.023,-99999.0,37.075,28.37,-99999.0,-99999.0,28.35,-99999.0,277.5,5.8 -151,2019-06-01 12:00:00+00:00,37.01,-99999.0,37.082,28.34,-99999.0,-99999.0,28.31,-99999.0,273.10001,5.4 -152,2019-06-02 12:00:00+00:00,37.029,-99999.0,37.085,28.31,-99999.0,-99999.0,28.27,-99999.0,283.39999,4.1 -153,2019-06-03 12:00:00+00:00,37.017,-99999.0,37.075,28.27,-99999.0,-99999.0,28.26,-99999.0,287.29999,5.8 -154,2019-06-04 12:00:00+00:00,37.025,-99999.0,37.089,28.3,-99999.0,-99999.0,28.22,-99999.0,252.2,2.2 -155,2019-06-05 12:00:00+00:00,37.019,-99999.0,37.094,28.23,-99999.0,-99999.0,28.21,-99999.0,286.60001,5.0 -156,2019-06-06 12:00:00+00:00,37.044,-99999.0,37.104,28.22,-99999.0,-99999.0,28.2,-99999.0,313.70001,4.2 -157,2019-06-07 12:00:00+00:00,37.017,-99999.0,37.079,28.14,-99999.0,-99999.0,28.13,-99999.0,312.70001,7.4 -158,2019-06-08 12:00:00+00:00,37.022,-99999.0,37.08,28.11,-99999.0,-99999.0,28.11,-99999.0,286.70001,6.8 -159,2019-06-09 12:00:00+00:00,36.93,-99999.0,36.966,28.09,-99999.0,-99999.0,28.09,-99999.0,294.70001,7.5 -160,2019-06-10 12:00:00+00:00,36.902,-99999.0,36.971,28.08,-99999.0,-99999.0,28.07,-99999.0,291.5,7.3 -161,2019-06-11 12:00:00+00:00,36.908,-99999.0,36.979,28.02,-99999.0,-99999.0,28.02,-99999.0,290.5,8.0 -162,2019-06-12 12:00:00+00:00,36.913,-99999.0,36.987,27.99,-99999.0,-99999.0,27.99,-99999.0,286.10001,9.0 -163,2019-06-13 12:00:00+00:00,36.936,-99999.0,37.011,27.93,-99999.0,-99999.0,27.93,-99999.0,283.89999,8.5 -164,2019-06-14 12:00:00+00:00,36.94,-99999.0,37.02,27.85,-99999.0,-99999.0,27.85,-99999.0,287.29999,7.6 -165,2019-06-15 12:00:00+00:00,36.956,-99999.0,37.04,27.74,-99999.0,-99999.0,27.73,-99999.0,291.5,6.8 -166,2019-06-16 12:00:00+00:00,36.975,-99999.0,37.087,27.74,-99999.0,-99999.0,27.72,-99999.0,283.0,5.7 -167,2019-06-17 12:00:00+00:00,37.036,-99999.0,37.125,27.69,-99999.0,-99999.0,27.68,-99999.0,282.70001,6.4 -168,2019-06-18 12:00:00+00:00,37.056,-99999.0,37.146,27.63,-99999.0,-99999.0,27.56,-99999.0,291.5,4.0 -169,2019-06-19 12:00:00+00:00,37.041,-99999.0,37.155,27.56,-99999.0,-99999.0,27.52,-99999.0,283.39999,5.0 -170,2019-06-20 12:00:00+00:00,37.064,-99999.0,37.228,27.32,-99999.0,-99999.0,27.28,-99999.0,267.39999,4.5 -171,2019-06-21 12:00:00+00:00,37.129,-99999.0,37.258,27.28,-99999.0,-99999.0,27.26,-99999.0,294.89999,4.9 -172,2019-06-22 12:00:00+00:00,37.211,-99999.0,37.285,27.32,-99999.0,-99999.0,27.32,-99999.0,299.29999,7.2 -173,2019-06-23 12:00:00+00:00,37.271,-99999.0,37.352,27.23,-99999.0,-99999.0,27.22,-99999.0,292.60001,7.5 -174,2019-06-24 12:00:00+00:00,37.238,-99999.0,37.337,27.09,-99999.0,-99999.0,27.1,-99999.0,286.10001,6.0 -175,2019-06-25 12:00:00+00:00,37.268,-99999.0,37.412,27.06,-99999.0,-99999.0,27.09,-99999.0,272.0,4.7 -176,2019-06-26 12:00:00+00:00,37.391,-99999.0,37.48,27.09,-99999.0,-99999.0,27.08,-99999.0,275.39999,6.6 -177,2019-06-27 12:00:00+00:00,37.401,-99999.0,37.478,27.0,-99999.0,-99999.0,26.99,-99999.0,274.60001,6.8 -178,2019-06-28 12:00:00+00:00,37.411,-99999.0,37.47,26.9,-99999.0,-99999.0,26.9,-99999.0,290.5,7.7 -179,2019-06-29 12:00:00+00:00,37.392,-99999.0,37.458,26.81,-99999.0,-99999.0,26.81,-99999.0,284.5,8.1 -180,2019-06-30 12:00:00+00:00,37.356,-99999.0,37.432,26.88,-99999.0,-99999.0,26.84,-99999.0,273.89999,6.1 -181,2019-07-01 12:00:00+00:00,37.316,-99999.0,37.384,26.97,-99999.0,-99999.0,26.95,-99999.0,271.5,6.6 -182,2019-07-02 12:00:00+00:00,37.338,-99999.0,37.418,26.82,-99999.0,-99999.0,26.81,-99999.0,262.20001,6.6 -183,2019-07-03 12:00:00+00:00,37.343,-99999.0,37.418,26.86,-99999.0,-99999.0,26.83,-99999.0,257.0,5.5 -184,2019-07-04 12:00:00+00:00,37.357,-99999.0,37.439,26.83,-99999.0,-99999.0,26.8,-99999.0,251.89999,6.4 -185,2019-07-05 12:00:00+00:00,37.394,-99999.0,37.474,26.81,-99999.0,-99999.0,26.8,-99999.0,238.7,5.9 -186,2019-07-06 12:00:00+00:00,37.224,-99999.0,37.331,26.98,-99999.0,-99999.0,26.91,-99999.0,219.89999,4.5 -187,2019-07-07 12:00:00+00:00,37.166,-99999.0,37.336,27.01,-99999.0,-99999.0,26.91,-99999.0,269.10001,2.7 -188,2019-07-08 12:00:00+00:00,37.304,-99999.0,37.397,26.79,-99999.0,-99999.0,26.77,-99999.0,322.5,8.2 -189,2019-07-09 12:00:00+00:00,37.329,-99999.0,37.406,26.55,-99999.0,-99999.0,26.54,-99999.0,308.89999,9.4 -190,2019-07-10 12:00:00+00:00,37.317,-99999.0,37.396,26.47,-99999.0,-99999.0,26.46,-99999.0,313.60001,9.6 -191,2019-07-11 12:00:00+00:00,37.295,-99999.0,37.377,26.5,-99999.0,-99999.0,26.49,-99999.0,309.89999,7.1 -192,2019-07-12 12:00:00+00:00,37.109,-99999.0,37.228,26.6,-99999.0,-99999.0,26.58,-99999.0,291.5,6.0 -193,2019-07-13 12:00:00+00:00,37.069,-99999.0,37.16,26.61,-99999.0,-99999.0,26.58,-99999.0,304.0,5.2 -194,2019-07-14 12:00:00+00:00,37.004,-99999.0,37.079,26.62,-99999.0,-99999.0,26.6,-99999.0,282.5,5.5 -195,2019-07-15 12:00:00+00:00,36.979,-99999.0,37.128,26.59,-99999.0,-99999.0,26.54,-99999.0,287.70001,4.3 -196,2019-07-16 12:00:00+00:00,37.0,-99999.0,37.103,26.67,-99999.0,-99999.0,26.52,-99999.0,261.39999,3.2 -197,2019-07-17 12:00:00+00:00,36.992,-99999.0,37.182,26.68,-99999.0,-99999.0,26.5,-99999.0,288.10001,2.5 -198,2019-07-18 12:00:00+00:00,37.001,-99999.0,37.113,26.53,-99999.0,-99999.0,26.52,-99999.0,327.29999,7.5 -199,2019-07-19 12:00:00+00:00,36.881,-99999.0,36.96,26.56,-99999.0,-99999.0,26.55,-99999.0,321.10001,8.2 -200,2019-07-20 12:00:00+00:00,36.818,-99999.0,36.901,26.61,-99999.0,-99999.0,26.6,-99999.0,300.70001,8.8 -201,2019-07-21 12:00:00+00:00,36.868,-99999.0,36.956,26.62,-99999.0,-99999.0,26.62,-99999.0,301.39999,8.9 -202,2019-07-22 12:00:00+00:00,36.772,-99999.0,36.85,26.62,-99999.0,-99999.0,26.62,-99999.0,297.0,8.7 -203,2019-07-23 12:00:00+00:00,36.635,-99999.0,36.705,26.77,-99999.0,-99999.0,26.77,-99999.0,286.5,8.0 -204,2019-07-24 12:00:00+00:00,36.645,-99999.0,36.724,26.78,-99999.0,-99999.0,26.78,-99999.0,285.60001,8.2 -205,2019-07-25 12:00:00+00:00,36.621,-99999.0,36.701,26.83,-99999.0,-99999.0,26.83,-99999.0,293.60001,7.9 -206,2019-07-26 12:00:00+00:00,36.601,-99999.0,36.68,26.82,-99999.0,-99999.0,26.82,-99999.0,291.5,7.3 -207,2019-07-27 12:00:00+00:00,36.59,-99999.0,36.674,26.82,-99999.0,-99999.0,26.82,-99999.0,295.60001,7.9 -208,2019-07-28 12:00:00+00:00,36.614,-99999.0,36.706,26.8,-99999.0,-99999.0,26.79,-99999.0,295.0,6.9 -209,2019-07-29 12:00:00+00:00,36.656,-99999.0,36.746,26.7,-99999.0,-99999.0,26.69,-99999.0,309.20001,7.4 -210,2019-07-30 12:00:00+00:00,36.694,-99999.0,36.788,26.66,-99999.0,-99999.0,26.64,-99999.0,287.10001,5.5 -211,2019-07-31 12:00:00+00:00,36.677,-99999.0,36.764,26.77,-99999.0,-99999.0,26.66,-99999.0,267.10001,3.5 -212,2019-08-01 12:00:00+00:00,36.627,-99999.0,36.708,26.81,-99999.0,-99999.0,26.79,-99999.0,286.60001,5.0 -213,2019-08-02 12:00:00+00:00,36.621,-99999.0,36.705,26.83,-99999.0,-99999.0,26.8,-99999.0,274.89999,5.5 -214,2019-08-03 12:00:00+00:00,36.615,-99999.0,36.7,26.81,-99999.0,-99999.0,26.77,-99999.0,276.20001,4.9 -215,2019-08-04 12:00:00+00:00,36.585,-99999.0,36.672,26.73,-99999.0,-99999.0,26.72,-99999.0,263.39999,6.9 -216,2019-08-05 12:00:00+00:00,36.597,-99999.0,36.68,26.66,-99999.0,-99999.0,26.66,-99999.0,284.70001,8.3 -217,2019-08-06 12:00:00+00:00,36.643,-99999.0,36.728,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -218,2019-08-07 12:00:00+00:00,36.684,-99999.0,36.771,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -219,2019-08-08 12:00:00+00:00,36.78,-99999.0,36.872,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -220,2019-08-09 12:00:00+00:00,36.776,-99999.0,36.864,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -221,2019-08-10 12:00:00+00:00,36.747,-99999.0,36.84,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -222,2019-08-11 12:00:00+00:00,36.783,-99999.0,36.87,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -223,2019-08-12 12:00:00+00:00,36.801,-99999.0,36.889,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -224,2019-08-13 12:00:00+00:00,36.769,-99999.0,36.855,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -225,2019-08-14 12:00:00+00:00,36.762,-99999.0,36.849,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -226,2019-08-15 12:00:00+00:00,36.754,-99999.0,36.839,26.36,-99999.0,-99999.0,26.36,-99999.0,307.79999,7.0 -227,2019-08-16 12:00:00+00:00,36.756,-99999.0,36.842,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -228,2019-08-17 12:00:00+00:00,36.748,-99999.0,36.835,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -229,2019-08-18 12:00:00+00:00,36.766,-99999.0,36.851,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -230,2019-08-19 12:00:00+00:00,36.786,-99999.0,36.873,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -231,2019-08-20 12:00:00+00:00,36.814,-99999.0,36.901,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -232,2019-08-21 12:00:00+00:00,36.822,-99999.0,36.908,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -233,2019-08-22 12:00:00+00:00,36.798,-99999.0,36.889,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -234,2019-08-23 12:00:00+00:00,36.801,-99999.0,36.886,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -235,2019-08-24 12:00:00+00:00,36.847,-99999.0,36.937,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -236,2019-08-25 12:00:00+00:00,36.803,-99999.0,36.892,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -237,2019-08-26 12:00:00+00:00,36.779,-99999.0,36.872,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -238,2019-08-27 12:00:00+00:00,36.792,-99999.0,36.881,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -239,2019-08-28 12:00:00+00:00,36.784,-99999.0,36.874,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -240,2019-08-29 12:00:00+00:00,36.786,-99999.0,36.878,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -241,2019-08-30 12:00:00+00:00,36.794,-99999.0,36.885,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -242,2019-08-31 12:00:00+00:00,36.806,-99999.0,36.9,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -243,2019-09-01 12:00:00+00:00,36.761,-99999.0,36.851,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -244,2019-09-02 12:00:00+00:00,36.75,-99999.0,36.84,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -245,2019-09-03 12:00:00+00:00,36.754,-99999.0,36.843,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -246,2019-09-04 12:00:00+00:00,36.758,-99999.0,36.847,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -247,2019-09-05 12:00:00+00:00,36.766,-99999.0,36.857,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -248,2019-09-06 12:00:00+00:00,36.779,-99999.0,36.872,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -249,2019-09-07 12:00:00+00:00,36.814,-99999.0,36.905,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -250,2019-09-08 12:00:00+00:00,36.873,-99999.0,36.969,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -251,2019-09-09 12:00:00+00:00,36.816,-99999.0,36.911,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -252,2019-09-10 12:00:00+00:00,36.845,-99999.0,36.938,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -253,2019-09-11 12:00:00+00:00,36.83,-99999.0,36.922,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -254,2019-09-12 12:00:00+00:00,36.829,-99999.0,36.921,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -255,2019-09-13 12:00:00+00:00,36.832,-99999.0,36.922,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -256,2019-09-14 12:00:00+00:00,36.852,-99999.0,36.942,26.25,-99999.0,-99999.0,26.15,-99999.0,297.0,4.5 -257,2019-09-15 12:00:00+00:00,36.85,-99999.0,36.944,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -258,2019-09-16 12:00:00+00:00,36.852,-99999.0,36.944,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -259,2019-09-17 12:00:00+00:00,36.857,-99999.0,36.948,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -260,2019-09-18 12:00:00+00:00,36.862,-99999.0,36.954,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -261,2019-09-19 12:00:00+00:00,36.873,-99999.0,36.965,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -262,2019-09-20 12:00:00+00:00,36.875,-99999.0,36.968,26.16,-99999.0,-99999.0,26.12,-99999.0,291.5,7.0 -263,2019-09-21 12:00:00+00:00,36.888,-99999.0,36.98,26.22,-99999.0,-99999.0,26.11,-99999.0,272.10001,5.1 -264,2019-09-22 12:00:00+00:00,36.896,-99999.0,36.989,26.14,-99999.0,-99999.0,26.12,-99999.0,284.60001,5.8 -265,2019-09-23 12:00:00+00:00,36.896,-99999.0,36.986,26.18,-99999.0,-99999.0,26.09,-99999.0,302.29999,6.0 -266,2019-09-24 12:00:00+00:00,36.91,-99999.0,37.004,26.22,-99999.0,-99999.0,26.19,-99999.0,309.89999,6.2 -267,2019-09-25 12:00:00+00:00,36.904,-99999.0,36.997,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -268,2019-09-26 12:00:00+00:00,36.835,-99999.0,36.928,26.25,-99999.0,-99999.0,26.2,-99999.0,280.20001,5.8 -269,2019-09-27 12:00:00+00:00,36.852,-99999.0,36.946,26.3,-99999.0,-99999.0,26.21,-99999.0,252.8,5.5 -270,2019-09-28 12:00:00+00:00,36.853,-99999.0,36.948,26.43,-99999.0,-99999.0,26.31,-99999.0,265.70001,4.9 -271,2019-09-29 12:00:00+00:00,36.843,-99999.0,36.939,26.48,-99999.0,-99999.0,26.35,-99999.0,268.79999,4.8 -272,2019-09-30 12:00:00+00:00,36.873,-99999.0,36.977,26.52,-99999.0,-99999.0,26.36,-99999.0,273.10001,4.1 -273,2019-10-01 12:00:00+00:00,36.869,-99999.0,36.966,26.47,-99999.0,-99999.0,26.41,-99999.0,279.60001,5.5 -274,2019-10-02 12:00:00+00:00,36.885,-99999.0,36.985,26.39,-99999.0,-99999.0,26.39,-99999.0,309.89999,8.4 -275,2019-10-03 12:00:00+00:00,36.875,-99999.0,36.975,26.34,-99999.0,-99999.0,26.32,-99999.0,304.39999,8.2 -276,2019-10-04 12:00:00+00:00,36.881,-99999.0,36.978,26.32,-99999.0,-99999.0,26.3,-99999.0,301.5,7.3 -277,2019-10-05 12:00:00+00:00,36.845,-99999.0,36.941,26.41,-99999.0,-99999.0,26.35,-99999.0,291.5,6.2 -278,2019-10-06 12:00:00+00:00,36.827,-99999.0,36.924,26.43,-99999.0,-99999.0,26.41,-99999.0,291.5,7.0 -279,2019-10-07 12:00:00+00:00,36.83,-99999.0,36.926,26.45,-99999.0,-99999.0,26.42,-99999.0,284.70001,7.1 -280,2019-10-08 12:00:00+00:00,36.806,-99999.0,36.902,26.52,-99999.0,-99999.0,26.48,-99999.0,279.20001,6.6 -281,2019-10-09 12:00:00+00:00,36.773,-99999.0,36.868,26.56,-99999.0,-99999.0,26.51,-99999.0,288.79999,6.0 -282,2019-10-10 12:00:00+00:00,36.752,-99999.0,36.847,26.53,-99999.0,-99999.0,26.51,-99999.0,298.89999,6.5 -283,2019-10-11 12:00:00+00:00,36.762,-99999.0,36.857,26.44,-99999.0,-99999.0,26.42,-99999.0,305.5,7.0 -284,2019-10-12 12:00:00+00:00,36.801,-99999.0,36.897,26.44,-99999.0,-99999.0,26.4,-99999.0,301.0,6.8 -285,2019-10-13 12:00:00+00:00,36.816,-99999.0,36.911,26.42,-99999.0,-99999.0,26.39,-99999.0,301.39999,6.6 -286,2019-10-14 12:00:00+00:00,36.812,-99999.0,36.907,26.43,-99999.0,-99999.0,26.39,-99999.0,280.20001,6.5 -287,2019-10-15 12:00:00+00:00,36.809,-99999.0,36.902,26.47,-99999.0,-99999.0,26.38,-99999.0,281.29999,5.6 -288,2019-10-16 12:00:00+00:00,36.828,-99999.0,36.916,26.52,-99999.0,-99999.0,26.38,-99999.0,293.10001,5.0 -289,2019-10-17 12:00:00+00:00,36.837,-99999.0,36.927,26.52,-99999.0,-99999.0,26.41,-99999.0,291.5,5.4 -290,2019-10-18 12:00:00+00:00,36.855,-99999.0,36.952,26.55,-99999.0,-99999.0,26.46,-99999.0,293.0,5.5 -291,2019-10-19 12:00:00+00:00,36.832,-99999.0,36.929,26.62,-99999.0,-99999.0,26.46,-99999.0,249.5,3.9 -292,2019-10-20 12:00:00+00:00,36.831,-99999.0,36.928,26.6,-99999.0,-99999.0,26.48,-99999.0,233.0,5.2 -293,2019-10-21 12:00:00+00:00,36.846,-99999.0,36.935,26.66,-99999.0,-99999.0,26.52,-99999.0,233.10001,4.4 -294,2019-10-22 12:00:00+00:00,36.828,-99999.0,36.954,26.7,-99999.0,-99999.0,26.59,-99999.0,236.0,5.5 -295,2019-10-23 12:00:00+00:00,36.751,-99999.0,36.947,26.79,-99999.0,-99999.0,26.6,-99999.0,249.0,4.7 -296,2019-10-24 12:00:00+00:00,36.79,-99999.0,36.931,26.8,-99999.0,-99999.0,26.65,-99999.0,271.10001,5.3 -297,2019-10-25 12:00:00+00:00,36.761,-99999.0,36.916,26.81,-99999.0,-99999.0,26.71,-99999.0,274.10001,5.2 -298,2019-10-26 12:00:00+00:00,36.838,-99999.0,36.944,26.9,-99999.0,-99999.0,26.73,-99999.0,276.0,5.3 -299,2019-10-27 12:00:00+00:00,36.843,-99999.0,36.946,26.87,-99999.0,-99999.0,26.75,-99999.0,275.79999,5.7 -300,2019-10-28 12:00:00+00:00,36.848,-99999.0,36.947,26.91,-99999.0,-99999.0,26.81,-99999.0,274.0,5.7 -301,2019-10-29 12:00:00+00:00,36.818,-99999.0,36.915,26.89,-99999.0,-99999.0,26.8,-99999.0,274.0,5.7 -302,2019-10-30 12:00:00+00:00,36.867,-99999.0,36.978,26.91,-99999.0,-99999.0,26.84,-99999.0,273.10001,6.7 -303,2019-10-31 12:00:00+00:00,36.952,-99999.0,37.077,26.9,-99999.0,-99999.0,26.81,-99999.0,261.89999,6.0 -304,2019-11-01 12:00:00+00:00,36.963,-99999.0,37.06,26.9,-99999.0,-99999.0,26.73,-99999.0,262.79999,5.0 -305,2019-11-02 12:00:00+00:00,36.987,-99999.0,37.083,26.84,-99999.0,-99999.0,26.73,-99999.0,283.0,5.7 -306,2019-11-03 12:00:00+00:00,36.987,-99999.0,37.087,26.85,-99999.0,-99999.0,26.77,-99999.0,272.20001,6.0 -307,2019-11-04 12:00:00+00:00,36.967,-99999.0,37.063,26.92,-99999.0,-99999.0,26.84,-99999.0,242.89999,6.4 -308,2019-11-05 12:00:00+00:00,36.95,-99999.0,37.049,26.99,-99999.0,-99999.0,26.88,-99999.0,248.5,5.8 -309,2019-11-06 12:00:00+00:00,36.909,-99999.0,37.007,26.94,-99999.0,-99999.0,26.84,-99999.0,255.7,6.3 -310,2019-11-07 12:00:00+00:00,36.902,-99999.0,37.005,26.92,-99999.0,-99999.0,26.81,-99999.0,274.0,5.7 -311,2019-11-08 12:00:00+00:00,36.91,-99999.0,37.016,26.92,-99999.0,-99999.0,26.81,-99999.0,278.5,5.7 -312,2019-11-09 12:00:00+00:00,36.913,-99999.0,37.023,26.97,-99999.0,-99999.0,26.86,-99999.0,274.89999,5.5 -313,2019-11-10 12:00:00+00:00,36.904,-99999.0,37.006,26.93,-99999.0,-99999.0,26.81,-99999.0,273.10001,5.8 -314,2019-11-11 12:00:00+00:00,36.917,-99999.0,37.012,26.95,-99999.0,-99999.0,26.83,-99999.0,270.20001,5.5 -315,2019-11-12 12:00:00+00:00,36.93,-99999.0,37.032,27.04,-99999.0,-99999.0,26.89,-99999.0,291.5,4.9 -316,2019-11-13 12:00:00+00:00,36.907,-99999.0,37.006,27.09,-99999.0,-99999.0,26.91,-99999.0,282.89999,4.8 -317,2019-11-14 12:00:00+00:00,36.918,-99999.0,37.018,27.18,-99999.0,-99999.0,26.98,-99999.0,269.70001,4.6 -318,2019-11-15 12:00:00+00:00,36.923,-99999.0,37.023,27.14,-99999.0,-99999.0,27.03,-99999.0,246.5,6.2 -319,2019-11-16 12:00:00+00:00,36.919,-99999.0,37.021,27.11,-99999.0,-99999.0,27.04,-99999.0,237.89999,6.7 -320,2019-11-17 12:00:00+00:00,36.923,-99999.0,37.025,27.15,-99999.0,-99999.0,27.07,-99999.0,248.3,6.2 -321,2019-11-18 12:00:00+00:00,36.921,-99999.0,37.019,27.29,-99999.0,-99999.0,27.14,-99999.0,267.39999,4.5 -322,2019-11-19 12:00:00+00:00,36.932,-99999.0,37.047,27.23,-99999.0,-99999.0,27.17,-99999.0,278.5,5.7 -323,2019-11-20 12:00:00+00:00,36.997,-99999.0,37.095,27.23,-99999.0,-99999.0,27.12,-99999.0,279.60001,5.5 -324,2019-11-21 12:00:00+00:00,37.049,-99999.0,37.155,27.25,-99999.0,-99999.0,27.17,-99999.0,274.0,5.7 -325,2019-11-22 12:00:00+00:00,37.066,-99999.0,37.178,27.3,-99999.0,-99999.0,27.22,-99999.0,279.0,5.2 -326,2019-11-23 12:00:00+00:00,37.006,-99999.0,37.114,27.47,-99999.0,-99999.0,27.23,-99999.0,261.10001,4.8 -327,2019-11-24 12:00:00+00:00,36.969,-99999.0,37.076,27.36,-99999.0,-99999.0,27.25,-99999.0,225.5,5.6 -328,2019-11-25 12:00:00+00:00,36.972,-99999.0,37.073,27.48,-99999.0,-99999.0,27.28,-99999.0,219.89999,3.2 -329,2019-11-26 12:00:00+00:00,36.96,-99999.0,37.058,27.6,-99999.0,-99999.0,27.45,-99999.0,312.10001,2.5 -330,2019-11-27 12:00:00+00:00,36.851,-99999.0,36.961,27.33,-99999.0,-99999.0,27.31,-99999.0,308.5,7.2 -331,2019-11-28 12:00:00+00:00,36.76,-99999.0,36.895,27.3,-99999.0,-99999.0,27.12,-99999.0,271.70001,3.8 -332,2019-11-29 12:00:00+00:00,36.779,-99999.0,36.893,27.32,-99999.0,-99999.0,27.17,-99999.0,237.0,4.9 -333,2019-11-30 12:00:00+00:00,36.788,-99999.0,36.913,27.39,-99999.0,-99999.0,27.19,-99999.0,250.7,5.4 -334,2019-12-01 12:00:00+00:00,36.815,-99999.0,36.959,27.46,-99999.0,-99999.0,27.27,-99999.0,233.5,5.4 -335,2019-12-02 12:00:00+00:00,36.888,-99999.0,37.023,27.46,-99999.0,-99999.0,27.32,-99999.0,224.7,6.5 -336,2019-12-03 12:00:00+00:00,36.938,-99999.0,37.048,27.52,-99999.0,-99999.0,27.38,-99999.0,237.8,5.3 -337,2019-12-04 12:00:00+00:00,36.946,-99999.0,37.056,27.54,-99999.0,-99999.0,27.34,-99999.0,277.5,4.7 -338,2019-12-05 12:00:00+00:00,36.91,-99999.0,37.054,27.87,-99999.0,-99999.0,27.46,-99999.0,273.10001,3.7 -339,2019-12-06 12:00:00+00:00,36.881,-99999.0,37.003,27.81,-99999.0,-99999.0,27.62,-99999.0,250.60001,5.6 -340,2019-12-07 12:00:00+00:00,36.866,-99999.0,36.98,27.82,-99999.0,-99999.0,27.72,-99999.0,232.0,5.6 -341,2019-12-08 12:00:00+00:00,36.881,-99999.0,36.991,27.88,-99999.0,-99999.0,27.77,-99999.0,252.60001,5.7 -342,2019-12-09 12:00:00+00:00,36.866,-99999.0,36.976,27.83,-99999.0,-99999.0,27.78,-99999.0,274.10001,5.2 -343,2019-12-10 12:00:00+00:00,36.868,-99999.0,36.976,27.83,-99999.0,-99999.0,27.74,-99999.0,275.79999,5.7 -344,2019-12-11 12:00:00+00:00,36.871,-99999.0,36.981,27.87,-99999.0,-99999.0,27.79,-99999.0,276.0,5.3 -345,2019-12-12 12:00:00+00:00,36.889,-99999.0,36.995,27.87,-99999.0,-99999.0,27.8,-99999.0,273.10001,5.8 -346,2019-12-13 12:00:00+00:00,36.979,-99999.0,37.089,28.03,-99999.0,-99999.0,27.96,-99999.0,283.70001,6.3 -347,2019-12-14 12:00:00+00:00,36.933,-99999.0,37.046,28.03,-99999.0,-99999.0,28.01,-99999.0,292.60001,7.5 -348,2019-12-15 12:00:00+00:00,36.892,-99999.0,37.01,27.97,-99999.0,-99999.0,27.95,-99999.0,289.29999,7.3 -349,2019-12-16 12:00:00+00:00,36.875,-99999.0,36.988,27.96,-99999.0,-99999.0,27.91,-99999.0,283.0,6.7 -350,2019-12-17 12:00:00+00:00,36.868,-99999.0,36.978,27.92,-99999.0,-99999.0,27.85,-99999.0,280.20001,5.8 -351,2019-12-18 12:00:00+00:00,36.887,-99999.0,36.999,27.97,-99999.0,-99999.0,27.85,-99999.0,267.89999,5.0 -352,2019-12-19 12:00:00+00:00,36.899,-99999.0,37.013,27.92,-99999.0,-99999.0,27.84,-99999.0,266.10001,6.0 -353,2019-12-20 12:00:00+00:00,36.898,-99999.0,37.012,27.85,-99999.0,-99999.0,27.81,-99999.0,277.10001,6.3 -354,2019-12-21 12:00:00+00:00,36.896,-99999.0,37.006,27.87,-99999.0,-99999.0,27.76,-99999.0,280.20001,5.8 -355,2019-12-22 12:00:00+00:00,36.916,-99999.0,37.034,27.89,-99999.0,-99999.0,27.83,-99999.0,278.10001,6.1 -356,2019-12-23 12:00:00+00:00,36.922,-99999.0,37.038,27.82,-99999.0,-99999.0,27.81,-99999.0,269.20001,6.7 -357,2019-12-24 12:00:00+00:00,36.928,-99999.0,37.044,27.84,-99999.0,-99999.0,27.79,-99999.0,268.0,7.1 -358,2019-12-25 12:00:00+00:00,36.927,-99999.0,37.043,27.81,-99999.0,-99999.0,27.77,-99999.0,268.60001,6.9 -359,2019-12-26 12:00:00+00:00,36.94,-99999.0,37.055,27.83,-99999.0,-99999.0,27.78,-99999.0,273.89999,6.1 -360,2019-12-27 12:00:00+00:00,36.954,-99999.0,37.067,27.86,-99999.0,-99999.0,27.78,-99999.0,283.0,5.7 -361,2019-12-28 12:00:00+00:00,36.965,-99999.0,37.08,27.96,-99999.0,-99999.0,27.8,-99999.0,271.89999,4.3 -362,2019-12-29 12:00:00+00:00,36.986,-99999.0,37.095,28.08,-99999.0,-99999.0,27.82,-99999.0,246.5,2.5 -363,2019-12-30 12:00:00+00:00,36.983,-99999.0,37.099,27.86,-99999.0,-99999.0,27.79,-99999.0,244.7,6.2 -364,2019-12-31 12:00:00+00:00,36.95,-99999.0,37.082,27.69,-99999.0,-99999.0,27.64,-99999.0,252.39999,5.8 -365,2020-01-01 12:00:00+00:00,36.961,-99999.0,37.087,27.74,-99999.0,-99999.0,27.71,-99999.0,244.39999,5.4 -366,2020-01-02 12:00:00+00:00,36.957,-99999.0,37.094,27.74,-99999.0,-99999.0,27.73,-99999.0,239.2,6.2 -367,2020-01-03 12:00:00+00:00,36.931,-99999.0,37.09,27.83,-99999.0,-99999.0,27.76,-99999.0,239.7,5.1 -368,2020-01-04 12:00:00+00:00,36.928,-99999.0,37.128,27.84,-99999.0,-99999.0,27.77,-99999.0,242.60001,5.8 -369,2020-01-05 12:00:00+00:00,36.884,-99999.0,37.139,27.96,-99999.0,-99999.0,27.8,-99999.0,241.7,4.9 -370,2020-01-06 12:00:00+00:00,36.848,-99999.0,37.154,27.9,-99999.0,-99999.0,27.83,-99999.0,260.10001,6.0 -371,2020-01-07 12:00:00+00:00,36.847,-99999.0,37.161,27.94,-99999.0,-99999.0,27.78,-99999.0,255.0,4.1 -372,2020-01-08 12:00:00+00:00,36.872,-99999.0,37.188,28.01,-99999.0,-99999.0,27.8,-99999.0,259.89999,4.4 -373,2020-01-09 12:00:00+00:00,37.005,-99999.0,37.2,27.95,-99999.0,-99999.0,27.82,-99999.0,261.79999,4.6 -374,2020-01-10 12:00:00+00:00,37.235,-99999.0,37.191,27.97,-99999.0,-99999.0,27.85,-99999.0,267.10001,5.2 -375,2020-01-11 12:00:00+00:00,37.308,-99999.0,37.114,27.88,-99999.0,-99999.0,27.76,-99999.0,274.0,5.7 -376,2020-01-12 12:00:00+00:00,37.322,-99999.0,37.111,27.93,-99999.0,-99999.0,27.78,-99999.0,269.39999,5.7 -377,2020-01-13 12:00:00+00:00,37.332,-99999.0,37.104,28.03,-99999.0,-99999.0,27.83,-99999.0,275.29999,4.6 -378,2020-01-14 12:00:00+00:00,37.354,-99999.0,37.116,28.2,-99999.0,-99999.0,27.88,-99999.0,270.5,4.0 -379,2020-01-15 12:00:00+00:00,37.371,-99999.0,37.125,28.15,-99999.0,-99999.0,27.94,-99999.0,274.29999,4.4 -380,2020-01-16 12:00:00+00:00,37.379,-99999.0,37.115,28.14,-99999.0,-99999.0,28.02,-99999.0,269.10001,5.2 -381,2020-01-17 12:00:00+00:00,37.402,-99999.0,37.12,28.18,-99999.0,-99999.0,28.06,-99999.0,270.89999,4.9 -382,2020-01-18 12:00:00+00:00,37.435,-99999.0,37.132,28.32,-99999.0,-99999.0,28.11,-99999.0,274.39999,3.9 -383,2020-01-19 12:00:00+00:00,37.458,-99999.0,37.151,28.26,-99999.0,-99999.0,28.14,-99999.0,272.10001,5.1 -384,2020-01-20 12:00:00+00:00,37.444,-99999.0,37.168,28.34,-99999.0,-99999.0,28.21,-99999.0,265.89999,3.7 -385,2020-01-21 12:00:00+00:00,36.126,-99999.0,37.204,28.38,-99999.0,-99999.0,28.29,-99999.0,234.7,5.0 -386,2020-01-22 12:00:00+00:00,-9999.0,-99999.0,37.197,28.35,-99999.0,-99999.0,28.31,-99999.0,238.10001,6.8 -387,2020-01-23 12:00:00+00:00,-9999.0,-99999.0,37.193,28.33,-99999.0,-99999.0,28.31,-99999.0,248.10001,7.0 -388,2020-01-24 12:00:00+00:00,-9999.0,-99999.0,37.207,28.24,-99999.0,-99999.0,28.23,-99999.0,241.3,6.6 -389,2020-01-25 12:00:00+00:00,-9999.0,-99999.0,37.229,28.29,-99999.0,-99999.0,28.22,-99999.0,246.5,5.8 -390,2020-01-26 12:00:00+00:00,-9999.0,-99999.0,37.212,28.4,-99999.0,-99999.0,28.19,-99999.0,241.89999,5.1 -391,2020-01-27 12:00:00+00:00,-9999.0,-99999.0,37.222,28.45,-99999.0,-99999.0,28.24,-99999.0,265.70001,4.9 -392,2020-01-28 12:00:00+00:00,-9999.0,-99999.0,37.27,28.47,-99999.0,-99999.0,28.26,-99999.0,281.5,4.9 -393,2020-01-29 12:00:00+00:00,-9999.0,-99999.0,37.271,28.42,-99999.0,-99999.0,28.3,-99999.0,286.89999,5.3 -394,2020-01-30 12:00:00+00:00,-9999.0,-99999.0,37.37,28.36,-99999.0,-99999.0,28.22,-99999.0,282.0,5.2 -395,2020-01-31 12:00:00+00:00,-9999.0,-99999.0,37.36,28.29,-99999.0,-99999.0,28.2,-99999.0,267.10001,5.2 -396,2020-02-01 12:00:00+00:00,-9999.0,-99999.0,37.333,28.32,-99999.0,-99999.0,28.17,-99999.0,256.39999,4.7 -397,2020-02-02 12:00:00+00:00,-9999.0,-99999.0,37.35,28.42,-99999.0,-99999.0,28.26,-99999.0,257.79999,5.1 -398,2020-02-03 12:00:00+00:00,-9999.0,-99999.0,37.381,28.48,-99999.0,-99999.0,28.32,-99999.0,267.89999,5.0 -399,2020-02-04 12:00:00+00:00,-9999.0,-99999.0,37.391,28.51,-99999.0,-99999.0,28.35,-99999.0,264.89999,5.1 -400,2020-02-05 12:00:00+00:00,-9999.0,-99999.0,37.38,28.53,-99999.0,-99999.0,28.33,-99999.0,274.10001,4.8 -401,2020-02-06 12:00:00+00:00,-9999.0,-99999.0,37.386,28.54,-99999.0,-99999.0,28.38,-99999.0,265.79999,4.3 -402,2020-02-07 12:00:00+00:00,-9999.0,-99999.0,37.396,28.48,-99999.0,-99999.0,28.4,-99999.0,264.89999,2.7 -403,2020-02-08 12:00:00+00:00,-9999.0,-99999.0,37.406,28.47,-99999.0,-99999.0,28.41,-99999.0,269.10001,5.2 -404,2020-02-09 12:00:00+00:00,-9999.0,-99999.0,37.403,28.58,-99999.0,-99999.0,28.41,-99999.0,270.89999,4.9 -405,2020-02-10 12:00:00+00:00,-9999.0,-99999.0,37.404,28.6,-99999.0,-99999.0,28.47,-99999.0,274.10001,5.2 -406,2020-02-11 12:00:00+00:00,-9999.0,-99999.0,37.403,28.67,-99999.0,-99999.0,28.57,-99999.0,267.5,5.6 -407,2020-02-12 12:00:00+00:00,-9999.0,-99999.0,37.403,28.79,-99999.0,-99999.0,28.6,-99999.0,274.10001,5.2 -408,2020-02-13 12:00:00+00:00,-9999.0,-99999.0,37.348,28.91,-99999.0,-99999.0,28.65,-99999.0,265.70001,4.9 -409,2020-02-14 12:00:00+00:00,-9999.0,-99999.0,37.359,28.76,-99999.0,-99999.0,28.71,-99999.0,273.10001,5.8 -410,2020-02-15 12:00:00+00:00,-9999.0,-99999.0,37.398,28.78,-99999.0,-99999.0,28.69,-99999.0,277.5,4.7 -411,2020-02-16 12:00:00+00:00,-9999.0,-99999.0,37.372,-9999.0,-99999.0,-99999.0,28.71,-99999.0,282.0,5.2 -412,2020-02-17 12:00:00+00:00,-9999.0,-99999.0,37.294,-9999.0,-99999.0,-99999.0,28.62,-99999.0,274.60001,6.8 -413,2020-02-18 12:00:00+00:00,-9999.0,-99999.0,37.302,28.61,-99999.0,-99999.0,28.58,-99999.0,274.79999,5.9 -414,2020-02-19 12:00:00+00:00,-9999.0,-99999.0,37.307,-9999.0,-99999.0,-99999.0,28.51,-99999.0,282.79999,3.8 -415,2020-02-20 12:00:00+00:00,-9999.0,-99999.0,37.279,-9999.0,-99999.0,-99999.0,28.43,-99999.0,267.5,5.6 -416,2020-02-21 12:00:00+00:00,-9999.0,-99999.0,37.29,-9999.0,-99999.0,-99999.0,28.42,-99999.0,274.29999,4.4 -417,2020-02-22 12:00:00+00:00,-9999.0,-99999.0,37.283,-9999.0,-99999.0,-99999.0,28.49,-99999.0,263.89999,3.5 -418,2020-02-23 12:00:00+00:00,-9999.0,-99999.0,37.258,-9999.0,-99999.0,-99999.0,28.53,-99999.0,246.5,3.9 -419,2020-02-24 12:00:00+00:00,-9999.0,-99999.0,37.228,-9999.0,-99999.0,-99999.0,28.54,-99999.0,289.60001,4.5 -420,2020-02-25 12:00:00+00:00,-9999.0,-99999.0,37.268,-9999.0,-99999.0,-99999.0,28.53,-99999.0,280.79999,5.3 -421,2020-02-26 12:00:00+00:00,-9999.0,-99999.0,37.283,-9999.0,-99999.0,-99999.0,28.44,-99999.0,267.39999,4.5 -422,2020-02-27 12:00:00+00:00,-9999.0,-99999.0,37.307,-9999.0,-99999.0,-99999.0,28.48,-99999.0,241.7,4.9 -423,2020-02-28 12:00:00+00:00,-9999.0,-99999.0,37.322,-9999.0,-99999.0,-99999.0,28.51,-99999.0,258.60001,5.7 -424,2020-02-29 12:00:00+00:00,-9999.0,-99999.0,37.292,-9999.0,-99999.0,-99999.0,28.52,-99999.0,278.29999,5.0 -425,2020-03-01 12:00:00+00:00,-9999.0,-99999.0,37.26,-9999.0,-99999.0,-99999.0,28.56,-99999.0,283.39999,3.1 -426,2020-03-02 12:00:00+00:00,-9999.0,-99999.0,37.277,-9999.0,-99999.0,-99999.0,28.68,-99999.0,280.20001,3.0 -427,2020-03-03 12:00:00+00:00,-9999.0,-99999.0,37.288,-9999.0,-99999.0,-99999.0,28.82,-99999.0,261.79999,4.6 -428,2020-03-04 12:00:00+00:00,-9999.0,-99999.0,37.26,-9999.0,-99999.0,-99999.0,28.89,-99999.0,250.60001,5.6 -429,2020-03-05 12:00:00+00:00,-9999.0,-99999.0,37.22,-9999.0,-99999.0,-99999.0,28.89,-99999.0,230.2,5.0 -430,2020-03-06 12:00:00+00:00,-9999.0,-99999.0,37.217,-9999.0,-99999.0,-99999.0,28.95,-99999.0,217.39999,4.2 -431,2020-03-07 12:00:00+00:00,-9999.0,-99999.0,37.193,-9999.0,-99999.0,-99999.0,29.03,-99999.0,254.60001,3.0 -432,2020-03-08 12:00:00+00:00,-9999.0,-99999.0,37.131,-9999.0,-99999.0,-99999.0,29.08,-99999.0,260.5,4.2 -433,2020-03-09 12:00:00+00:00,-9999.0,-99999.0,37.169,-9999.0,-99999.0,-99999.0,29.15,-99999.0,269.70001,4.6 -434,2020-03-10 12:00:00+00:00,-9999.0,-99999.0,37.127,-9999.0,-99999.0,-99999.0,29.16,-99999.0,262.79999,5.0 -435,2020-03-11 12:00:00+00:00,-9999.0,-99999.0,37.094,-9999.0,-99999.0,-99999.0,28.99,-99999.0,270.0,5.1 -436,2020-03-12 12:00:00+00:00,-9999.0,-99999.0,37.152,-9999.0,-99999.0,-99999.0,28.93,-99999.0,274.89999,5.5 -437,2020-03-13 12:00:00+00:00,-9999.0,-99999.0,37.127,-9999.0,-99999.0,-99999.0,28.75,-99999.0,280.20001,5.1 -438,2020-03-14 12:00:00+00:00,-9999.0,-99999.0,37.092,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0 -439,2020-03-15 12:00:00+00:00,-9999.0,-99999.0,37.099,-9999.0,-99999.0,-99999.0,28.71,-99999.0,289.0,6.5 -440,2020-03-16 12:00:00+00:00,-9999.0,-99999.0,37.091,-9999.0,-99999.0,-99999.0,28.7,-99999.0,278.89999,7.1 -441,2020-03-17 12:00:00+00:00,-9999.0,-99999.0,37.08,-9999.0,-99999.0,-99999.0,28.61,-99999.0,241.3,4.5 -442,2020-03-18 12:00:00+00:00,-9999.0,-99999.0,37.06,-9999.0,-99999.0,-99999.0,28.58,-99999.0,238.39999,5.7 -443,2020-03-19 12:00:00+00:00,-9999.0,-99999.0,37.086,-9999.0,-99999.0,-99999.0,28.68,-99999.0,250.39999,5.8 -444,2020-03-20 12:00:00+00:00,-9999.0,-99999.0,37.076,-9999.0,-99999.0,-99999.0,28.64,-99999.0,241.7,4.9 -445,2020-03-21 12:00:00+00:00,-9999.0,-99999.0,37.093,-9999.0,-99999.0,-99999.0,28.68,-99999.0,203.60001,3.9 -446,2020-03-22 12:00:00+00:00,-9999.0,-99999.0,37.083,-9999.0,-99999.0,-99999.0,28.72,-99999.0,179.3,4.2 -447,2020-03-23 12:00:00+00:00,-9999.0,-99999.0,37.078,-9999.0,-99999.0,-99999.0,28.76,-99999.0,136.8,3.1 -448,2020-03-24 12:00:00+00:00,-9999.0,-99999.0,37.084,-9999.0,-99999.0,-99999.0,28.85,-99999.0,121.0,1.9 -449,2020-03-25 12:00:00+00:00,-9999.0,-99999.0,37.101,-9999.0,-99999.0,-99999.0,28.85,-99999.0,356.5,2.5 -450,2020-03-26 12:00:00+00:00,-9999.0,-99999.0,37.106,-9999.0,-99999.0,-99999.0,28.89,-99999.0,212.8,0.9 -451,2020-03-27 12:00:00+00:00,-9999.0,-99999.0,37.101,-9999.0,-99999.0,-99999.0,28.87,-99999.0,284.70001,3.6 -452,2020-03-28 12:00:00+00:00,-9999.0,-99999.0,37.135,-9999.0,-99999.0,-99999.0,29.06,-99999.0,285.20001,6.4 -453,2020-03-29 12:00:00+00:00,-9999.0,-99999.0,37.155,-9999.0,-99999.0,-99999.0,29.08,-99999.0,293.89999,6.8 -454,2020-03-30 12:00:00+00:00,-9999.0,-99999.0,37.163,-9999.0,-99999.0,-99999.0,29.06,-99999.0,274.10001,4.8 -455,2020-03-31 12:00:00+00:00,-9999.0,-99999.0,37.163,-9999.0,-99999.0,-99999.0,29.03,-99999.0,291.5,4.6 -456,2020-04-01 12:00:00+00:00,-9999.0,-99999.0,37.174,-9999.0,-99999.0,-99999.0,29.04,-99999.0,285.20001,5.2 -457,2020-04-02 12:00:00+00:00,-9999.0,-99999.0,37.183,-9999.0,-99999.0,-99999.0,29.04,-99999.0,287.89999,4.6 -458,2020-04-03 12:00:00+00:00,-9999.0,-99999.0,37.206,-9999.0,-99999.0,-99999.0,29.05,-99999.0,257.79999,3.2 -459,2020-04-04 12:00:00+00:00,-9999.0,-99999.0,37.211,-9999.0,-99999.0,-99999.0,29.07,-99999.0,208.60001,4.6 -460,2020-04-05 12:00:00+00:00,-9999.0,-99999.0,37.231,-9999.0,-99999.0,-99999.0,29.13,-99999.0,234.39999,3.0 -461,2020-04-06 12:00:00+00:00,-9999.0,-99999.0,37.247,-9999.0,-99999.0,-99999.0,29.19,-99999.0,281.5,2.6 -462,2020-04-07 12:00:00+00:00,-9999.0,-99999.0,37.249,-9999.0,-99999.0,-99999.0,29.22,-99999.0,241.7,2.5 -463,2020-04-08 12:00:00+00:00,-9999.0,-99999.0,37.3,-9999.0,-99999.0,-99999.0,29.24,-99999.0,256.0,2.6 -464,2020-04-09 12:00:00+00:00,-9999.0,-99999.0,37.332,-9999.0,-99999.0,-99999.0,29.24,-99999.0,228.10001,2.7 -465,2020-04-10 12:00:00+00:00,-9999.0,-99999.0,37.296,-9999.0,-99999.0,-99999.0,29.12,-99999.0,254.10001,3.1 -466,2020-04-11 12:00:00+00:00,-9999.0,-99999.0,37.279,-9999.0,-99999.0,-99999.0,29.22,-99999.0,263.39999,4.9 -467,2020-04-12 12:00:00+00:00,-9999.0,-99999.0,37.278,-9999.0,-99999.0,-99999.0,29.2,-99999.0,259.89999,4.4 -468,2020-04-13 12:00:00+00:00,-9999.0,-99999.0,37.287,-9999.0,-99999.0,-99999.0,29.18,-99999.0,271.89999,4.3 -469,2020-04-14 12:00:00+00:00,-9999.0,-99999.0,37.285,-9999.0,-99999.0,-99999.0,29.12,-99999.0,279.39999,4.1 -470,2020-04-15 12:00:00+00:00,-9999.0,-99999.0,37.285,-9999.0,-99999.0,-99999.0,29.12,-99999.0,257.79999,4.2 -471,2020-04-16 12:00:00+00:00,-9999.0,-99999.0,37.318,-9999.0,-99999.0,-99999.0,29.2,-99999.0,276.0,5.3 -472,2020-04-17 12:00:00+00:00,-9999.0,-99999.0,37.32,-9999.0,-99999.0,-99999.0,29.15,-99999.0,285.20001,5.2 -473,2020-04-18 12:00:00+00:00,-9999.0,-99999.0,37.324,-9999.0,-99999.0,-99999.0,29.11,-99999.0,289.89999,5.0 -474,2020-04-19 12:00:00+00:00,-9999.0,-99999.0,37.33,-9999.0,-99999.0,-99999.0,29.14,-99999.0,286.29999,4.7 -475,2020-04-20 12:00:00+00:00,-9999.0,-99999.0,37.333,-9999.0,-99999.0,-99999.0,29.17,-99999.0,285.79999,3.0 -476,2020-04-21 12:00:00+00:00,-9999.0,-99999.0,37.322,-9999.0,-99999.0,-99999.0,29.18,-99999.0,287.39999,4.0 -477,2020-04-22 12:00:00+00:00,-9999.0,-99999.0,37.311,-9999.0,-99999.0,-99999.0,29.19,-99999.0,263.20001,4.2 -478,2020-04-23 12:00:00+00:00,-9999.0,-99999.0,37.298,-9999.0,-99999.0,-99999.0,29.21,-99999.0,275.89999,3.8 -479,2020-04-24 12:00:00+00:00,-9999.0,-99999.0,37.323,-9999.0,-99999.0,-99999.0,29.21,-99999.0,305.5,4.7 -480,2020-04-25 12:00:00+00:00,-9999.0,-99999.0,37.314,-9999.0,-99999.0,-99999.0,29.1,-99999.0,300.5,5.5 -481,2020-04-26 12:00:00+00:00,-9999.0,-99999.0,37.314,-9999.0,-99999.0,-99999.0,29.09,-99999.0,298.39999,5.8 -482,2020-04-27 12:00:00+00:00,-9999.0,-99999.0,37.306,-9999.0,-99999.0,-99999.0,29.11,-99999.0,298.60001,4.6 -483,2020-04-28 12:00:00+00:00,-9999.0,-99999.0,37.3,-9999.0,-99999.0,-99999.0,29.09,-99999.0,304.0,5.2 -484,2020-04-29 12:00:00+00:00,-9999.0,-99999.0,37.299,-9999.0,-99999.0,-99999.0,29.04,-99999.0,301.5,4.9 -485,2020-04-30 12:00:00+00:00,-9999.0,-99999.0,37.294,-9999.0,-99999.0,-99999.0,29.02,-99999.0,275.79999,5.7 -486,2020-05-01 12:00:00+00:00,-9999.0,-99999.0,37.274,-9999.0,-99999.0,-99999.0,29.01,-99999.0,273.10001,5.0 -487,2020-05-02 12:00:00+00:00,-9999.0,-99999.0,37.274,-9999.0,-99999.0,-99999.0,28.98,-99999.0,274.10001,5.2 -488,2020-05-03 12:00:00+00:00,-9999.0,-99999.0,37.279,-9999.0,-99999.0,-99999.0,28.95,-99999.0,260.5,2.6 -489,2020-05-04 12:00:00+00:00,-9999.0,-99999.0,37.269,-9999.0,-99999.0,-99999.0,28.97,-99999.0,320.60001,4.4 -490,2020-05-05 12:00:00+00:00,-9999.0,-99999.0,37.254,-9999.0,-99999.0,-99999.0,28.97,-99999.0,309.89999,6.7 -491,2020-05-06 12:00:00+00:00,-9999.0,-99999.0,37.217,-9999.0,-99999.0,-99999.0,28.94,-99999.0,273.89999,6.1 -492,2020-05-07 12:00:00+00:00,-9999.0,-99999.0,37.21,-9999.0,-99999.0,-99999.0,28.91,-99999.0,262.79999,5.0 -493,2020-05-08 12:00:00+00:00,-9999.0,-99999.0,37.225,-9999.0,-99999.0,-99999.0,28.98,-99999.0,265.89999,3.7 -494,2020-05-09 12:00:00+00:00,-9999.0,-99999.0,37.228,-9999.0,-99999.0,-99999.0,29.06,-99999.0,296.10001,5.3 -495,2020-05-10 12:00:00+00:00,-9999.0,-99999.0,37.207,-9999.0,-99999.0,-99999.0,29.03,-99999.0,289.89999,5.0 -496,2020-05-11 12:00:00+00:00,-9999.0,-99999.0,37.154,-9999.0,-99999.0,-99999.0,29.02,-99999.0,297.5,5.4 -497,2020-05-12 12:00:00+00:00,-9999.0,-99999.0,37.172,-9999.0,-99999.0,-99999.0,29.02,-99999.0,296.5,8.0 -498,2020-05-13 12:00:00+00:00,-9999.0,-99999.0,37.23,-9999.0,-99999.0,-99999.0,28.98,-99999.0,280.70001,6.7 -499,2020-05-14 12:00:00+00:00,-9999.0,-99999.0,37.332,-9999.0,-99999.0,-99999.0,28.94,-99999.0,272.29999,6.4 -500,2020-05-15 12:00:00+00:00,-9999.0,-99999.0,37.415,-9999.0,-99999.0,-99999.0,28.93,-99999.0,276.79999,5.6 -501,2020-05-16 12:00:00+00:00,-9999.0,-99999.0,37.502,-9999.0,-99999.0,-99999.0,28.89,-99999.0,302.79999,5.1 -502,2020-05-17 12:00:00+00:00,-9999.0,-99999.0,37.528,-9999.0,-99999.0,-99999.0,28.87,-99999.0,303.60001,4.1 -503,2020-05-18 12:00:00+00:00,-9999.0,-99999.0,37.549,-9999.0,-99999.0,-99999.0,28.87,-99999.0,284.39999,4.6 -504,2020-05-19 12:00:00+00:00,-9999.0,-99999.0,37.558,-9999.0,-99999.0,-99999.0,28.85,-99999.0,289.5,8.1 -505,2020-05-20 12:00:00+00:00,-9999.0,-99999.0,37.557,-9999.0,-99999.0,-99999.0,28.82,-99999.0,301.70001,8.7 -506,2020-05-21 12:00:00+00:00,-9999.0,-99999.0,37.532,-9999.0,-99999.0,-99999.0,28.76,-99999.0,292.39999,9.1 -507,2020-05-22 12:00:00+00:00,-9999.0,-99999.0,37.509,-9999.0,-99999.0,-99999.0,28.68,-99999.0,273.10001,7.5 -508,2020-05-23 12:00:00+00:00,-9999.0,-99999.0,37.492,-9999.0,-99999.0,-99999.0,28.65,-99999.0,272.29999,6.9 -509,2020-05-24 12:00:00+00:00,-9999.0,-99999.0,37.508,-9999.0,-99999.0,-99999.0,28.65,-99999.0,271.5,6.6 -510,2020-05-25 12:00:00+00:00,-9999.0,-99999.0,37.527,-9999.0,-99999.0,-99999.0,28.63,-99999.0,260.5,5.8 -511,2020-05-26 12:00:00+00:00,-9999.0,-99999.0,37.534,-9999.0,-99999.0,-99999.0,28.63,-99999.0,222.8,5.5 -512,2020-05-27 12:00:00+00:00,-9999.0,-99999.0,37.546,-9999.0,-99999.0,-99999.0,28.62,-99999.0,199.7,4.5 -513,2020-05-28 12:00:00+00:00,-9999.0,-99999.0,37.552,-9999.0,-99999.0,-99999.0,28.63,-99999.0,338.70001,5.2 -514,2020-05-29 12:00:00+00:00,-9999.0,-99999.0,37.543,-9999.0,-99999.0,-99999.0,28.54,-99999.0,330.79999,8.0 -515,2020-05-30 12:00:00+00:00,-9999.0,-99999.0,37.523,-9999.0,-99999.0,-99999.0,28.47,-99999.0,323.29999,7.0 -516,2020-05-31 12:00:00+00:00,-9999.0,-99999.0,37.5,-9999.0,-99999.0,-99999.0,28.41,-99999.0,295.0,6.9 -517,2020-06-01 12:00:00+00:00,-9999.0,-99999.0,37.498,-9999.0,-99999.0,-99999.0,28.4,-99999.0,263.60001,5.5 -518,2020-06-02 12:00:00+00:00,-9999.0,-99999.0,37.481,-9999.0,-99999.0,-99999.0,28.38,-99999.0,253.60001,4.9 -519,2020-06-03 12:00:00+00:00,-9999.0,-99999.0,37.478,-9999.0,-99999.0,-99999.0,28.37,-99999.0,270.0,5.1 -520,2020-06-04 12:00:00+00:00,-9999.0,-99999.0,37.47,-9999.0,-99999.0,-99999.0,28.31,-99999.0,290.29999,6.6 -521,2020-06-05 12:00:00+00:00,-9999.0,-99999.0,37.534,-9999.0,-99999.0,-99999.0,28.24,-99999.0,296.70001,6.2 -522,2020-06-06 12:00:00+00:00,-9999.0,-99999.0,37.579,-9999.0,-99999.0,-99999.0,28.19,-99999.0,300.79999,6.2 -523,2020-06-07 12:00:00+00:00,-9999.0,-99999.0,37.604,-9999.0,-99999.0,-99999.0,28.09,-99999.0,299.20001,5.3 -524,2020-06-08 12:00:00+00:00,-9999.0,-99999.0,37.615,-9999.0,-99999.0,-99999.0,28.04,-99999.0,285.20001,5.2 -525,2020-06-09 12:00:00+00:00,-9999.0,-99999.0,37.606,-9999.0,-99999.0,-99999.0,28.05,-99999.0,282.29999,4.5 -526,2020-06-10 12:00:00+00:00,-9999.0,-99999.0,37.581,-9999.0,-99999.0,-99999.0,28.07,-99999.0,276.5,6.0 -527,2020-06-11 12:00:00+00:00,-9999.0,-99999.0,37.604,-9999.0,-99999.0,-99999.0,28.06,-99999.0,280.70001,6.7 -528,2020-06-12 12:00:00+00:00,-9999.0,-99999.0,37.606,-9999.0,-99999.0,-99999.0,27.96,-99999.0,287.10001,7.3 -529,2020-06-13 12:00:00+00:00,-9999.0,-99999.0,37.578,-9999.0,-99999.0,-99999.0,27.83,-99999.0,298.79999,7.8 -530,2020-06-14 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,299.60001,7.0 -531,2020-06-15 12:00:00+00:00,-9999.0,-99999.0,37.629,-9999.0,-99999.0,-99999.0,27.76,-99999.0,300.70001,8.8 -532,2020-06-16 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,303.20001,8.3 -533,2020-06-17 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,304.20001,8.9 -534,2020-06-18 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,289.70001,8.9 -535,2020-06-19 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,277.70001,8.8 -536,2020-06-20 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,299.39999,8.2 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12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,286.10001,7.5 -555,2020-07-09 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,287.70001,6.4 -556,2020-07-10 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,315.10001,5.0 -557,2020-07-11 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,302.79999,7.9 -558,2020-07-12 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,281.10001,7.0 -559,2020-07-13 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,269.70001,4.6 -560,2020-07-14 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,295.89999,5.5 -561,2020-07-15 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,300.0,6.7 -562,2020-07-16 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,309.89999,8.4 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12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,297.10001,7.2 -572,2020-07-26 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,281.10001,7.0 -573,2020-07-27 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,281.70001,8.2 -574,2020-07-28 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,303.20001,9.0 -575,2020-07-29 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,299.0,7.5 -576,2020-07-30 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,304.29999,6.4 -577,2020-07-31 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,301.60001,8.0 -578,2020-08-01 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,309.29999,8.2 -579,2020-08-02 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,311.60001,6.2 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12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,290.20001,6.1 -589,2020-08-12 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,284.0,7.5 -590,2020-08-13 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,284.20001,7.8 -591,2020-08-14 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,276.5,6.0 -592,2020-08-15 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,266.60001,6.4 -593,2020-08-16 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,270.10001,7.0 -594,2020-08-17 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,281.29999,5.6 -595,2020-08-18 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,275.39999,6.6 -596,2020-08-19 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,284.10001,6.5 -597,2020-08-20 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,291.5,5.4 -598,2020-08-21 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,302.0,4.0 -599,2020-08-22 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,282.89999,4.8 -600,2020-08-23 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,278.5,3.9 -601,2020-08-24 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,291.5,1.3 -602,2020-08-25 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,5.5,6.2 -603,2020-08-26 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,27.0,4.5 -604,2020-08-27 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,246.5,2.3 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12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,285.70001,6.9 -614,2020-09-06 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,283.0,5.7 -615,2020-09-07 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,292.70001,6.9 -616,2020-09-08 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,283.0,6.7 -617,2020-09-09 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,292.60001,7.2 -618,2020-09-10 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,290.20001,6.1 -619,2020-09-11 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,287.89999,6.6 -620,2020-09-12 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,289.20001,7.0 -621,2020-09-13 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,289.60001,8.7 -622,2020-09-14 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,277.5,7.0 -623,2020-09-15 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,279.29999,7.3 -624,2020-09-16 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,290.0,5.5 -625,2020-09-17 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,290.0,5.5 -626,2020-09-18 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,276.79999,5.6 -627,2020-09-19 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,269.70001,6.1 -628,2020-09-20 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,256.79999,6.7 -629,2020-09-21 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,256.5,6.9 -630,2020-09-22 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,254.60001,5.7 -631,2020-09-23 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,280.79999,5.3 -632,2020-09-24 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,289.89999,5.3 -633,2020-09-25 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,284.89999,6.1 -634,2020-09-26 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,298.20001,4.9 -635,2020-09-27 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,281.5,4.9 -636,2020-09-28 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,277.79999,5.4 -637,2020-09-29 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,262.10001,5.2 -638,2020-09-30 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,279.0,5.2 -639,2020-10-01 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,287.5,6.1 -640,2020-10-02 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,291.5,5.7 -641,2020-10-03 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,285.20001,5.2 -642,2020-10-04 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,285.20001,3.9 -643,2020-10-05 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,288.10001,4.9 -644,2020-10-06 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,273.10001,4.5 -645,2020-10-07 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,252.2,4.1 -646,2020-10-08 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,-99999.0,244.3,5.2 -647,2020-10-09 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,230.3,6.4 -648,2020-10-10 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,222.5,7.8 -649,2020-10-11 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,219.2,6.9 -650,2020-10-12 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,270.0,5.1 -651,2020-10-13 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,275.10001,5.0 -652,2020-10-14 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,271.39999,6.2 -653,2020-10-15 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,260.5,5.8 -654,2020-10-16 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,273.10001,4.1 -655,2020-10-17 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,302.79999,3.7 -656,2020-10-18 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,287.10001,3.8 -657,2020-10-19 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,257.0,5.5 -658,2020-10-20 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,275.79999,5.7 -659,2020-10-21 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,288.60001,5.7 -660,2020-10-22 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,295.89999,5.5 -661,2020-10-23 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,298.89999,6.5 -662,2020-10-24 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,279.20001,6.6 -663,2020-10-25 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,251.7,6.6 -664,2020-10-26 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,225.8,7.8 -665,2020-10-27 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,227.2,8.4 -666,2020-10-28 12:00:00+00:00,-99999.0,-99999.0,-99999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,243.60001,7.9 -667,2020-10-29 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -668,2020-10-30 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -669,2020-10-31 12:00:00+00:00,-9999.0,-99999.0,-9999.0,-9999.0,-99999.0,-99999.0,-9999.0,-99999.0,-9999.0,-99999.0 -670,2020-11-01 12:00:00+00:00,36.555,-99999.0,36.785,26.26,-99999.0,-99999.0,26.17,-99999.0,237.0,7.3 -671,2020-11-02 12:00:00+00:00,36.66,-99999.0,36.835,26.33,-99999.0,-99999.0,26.25,-99999.0,208.89999,6.6 -672,2020-11-03 12:00:00+00:00,36.733,-99999.0,36.885,26.43,-99999.0,-99999.0,26.28,-99999.0,224.3,6.0 -673,2020-11-04 12:00:00+00:00,36.798,-99999.0,36.91,26.47,-99999.0,-99999.0,26.36,-99999.0,228.7,6.0 -674,2020-11-05 12:00:00+00:00,36.915,-99999.0,36.933,26.59,-99999.0,-99999.0,26.47,-99999.0,257.0,5.6 -675,2020-11-06 12:00:00+00:00,36.967,-99999.0,36.908,26.61,-99999.0,-99999.0,26.53,-99999.0,273.10001,7.2 -676,2020-11-07 12:00:00+00:00,36.98,-99999.0,36.908,26.6,-99999.0,-99999.0,26.54,-99999.0,272.39999,7.4 -677,2020-11-08 12:00:00+00:00,37.01,-99999.0,36.938,26.54,-99999.0,-99999.0,26.49,-99999.0,276.60001,7.2 -678,2020-11-09 12:00:00+00:00,36.973,-99999.0,36.904,26.29,-99999.0,-99999.0,26.22,-99999.0,267.10001,6.9 -679,2020-11-10 12:00:00+00:00,36.97,-99999.0,36.902,26.29,-99999.0,-99999.0,26.21,-99999.0,266.5,7.1 -680,2020-11-11 12:00:00+00:00,36.995,-99999.0,36.934,26.31,-99999.0,-99999.0,26.22,-99999.0,267.70001,6.7 -681,2020-11-12 12:00:00+00:00,36.998,-99999.0,36.939,26.49,-99999.0,-99999.0,26.38,-99999.0,266.10001,6.1 -682,2020-11-13 12:00:00+00:00,37.008,-99999.0,36.967,26.53,-99999.0,-99999.0,26.46,-99999.0,260.10001,6.9 -683,2020-11-14 12:00:00+00:00,37.023,-99999.0,37.001,26.6,-99999.0,-99999.0,26.52,-99999.0,260.10001,6.9 -684,2020-11-15 12:00:00+00:00,37.019,-99999.0,37.02,26.6,-99999.0,-99999.0,26.53,-99999.0,251.7,6.7 -685,2020-11-16 12:00:00+00:00,37.018,-99999.0,37.034,26.54,-99999.0,-99999.0,26.5,-99999.0,253.39999,6.7 -686,2020-11-17 12:00:00+00:00,37.035,-99999.0,37.067,26.53,-99999.0,-99999.0,26.45,-99999.0,260.5,6.7 -687,2020-11-18 12:00:00+00:00,37.057,-99999.0,37.093,26.68,-99999.0,-99999.0,26.6,-99999.0,268.29999,6.5 -688,2020-11-19 12:00:00+00:00,37.018,-99999.0,37.065,26.78,-99999.0,-99999.0,26.73,-99999.0,258.10001,7.0 -689,2020-11-20 12:00:00+00:00,36.98,-99999.0,37.031,26.84,-99999.0,-99999.0,26.78,-99999.0,256.20001,7.2 -690,2020-11-21 12:00:00+00:00,36.982,-99999.0,37.031,26.88,-99999.0,-99999.0,26.82,-99999.0,252.8,7.3 -691,2020-11-22 12:00:00+00:00,37.004,-99999.0,37.06,26.83,-99999.0,-99999.0,26.77,-99999.0,272.29999,6.5 -692,2020-11-23 12:00:00+00:00,37.055,-99999.0,37.111,26.78,-99999.0,-99999.0,26.72,-99999.0,293.70001,7.4 -693,2020-11-24 12:00:00+00:00,37.001,-99999.0,37.088,26.72,-99999.0,-99999.0,26.65,-99999.0,309.10001,6.2 -694,2020-11-25 12:00:00+00:00,36.965,-99999.0,37.042,26.7,-99999.0,-99999.0,26.64,-99999.0,291.5,6.9 -695,2020-11-26 12:00:00+00:00,36.914,-99999.0,36.985,26.73,-99999.0,-99999.0,26.62,-99999.0,290.20001,6.5 -696,2020-11-27 12:00:00+00:00,36.902,-99999.0,36.975,26.71,-99999.0,-99999.0,26.64,-99999.0,282.0,7.0 -697,2020-11-28 12:00:00+00:00,36.883,-99999.0,36.954,26.64,-99999.0,-99999.0,26.59,-99999.0,280.20001,8.0 -698,2020-11-29 12:00:00+00:00,36.907,-99999.0,36.973,26.64,-99999.0,-99999.0,26.56,-99999.0,285.89999,7.3 -699,2020-11-30 12:00:00+00:00,36.93,-99999.0,37.0,26.61,-99999.0,-99999.0,26.55,-99999.0,284.70001,7.2 -700,2020-12-01 12:00:00+00:00,36.937,-99999.0,37.007,26.62,-99999.0,-99999.0,26.52,-99999.0,273.10001,6.4 -701,2020-12-02 12:00:00+00:00,36.931,-99999.0,37.001,26.64,-99999.0,-99999.0,26.52,-99999.0,273.89999,6.6 -702,2020-12-03 12:00:00+00:00,36.925,-99999.0,36.998,26.69,-99999.0,-99999.0,26.58,-99999.0,273.89999,6.6 -703,2020-12-04 12:00:00+00:00,36.891,-99999.0,36.964,26.77,-99999.0,-99999.0,26.69,-99999.0,277.5,7.1 -704,2020-12-05 12:00:00+00:00,36.88,-99999.0,36.952,26.81,-99999.0,-99999.0,26.71,-99999.0,278.10001,6.2 -705,2020-12-06 12:00:00+00:00,36.87,-99999.0,36.939,26.95,-99999.0,-99999.0,26.73,-99999.0,270.89999,5.0 -706,2020-12-07 12:00:00+00:00,36.854,-99999.0,36.928,26.93,-99999.0,-99999.0,26.8,-99999.0,280.20001,5.9 -707,2020-12-08 12:00:00+00:00,36.84,-99999.0,36.909,26.95,-99999.0,-99999.0,26.85,-99999.0,275.60001,6.3 -708,2020-12-09 12:00:00+00:00,36.816,-99999.0,36.884,27.02,-99999.0,-99999.0,26.89,-99999.0,271.29999,5.8 -709,2020-12-10 12:00:00+00:00,36.8,-99999.0,36.868,26.99,-99999.0,-99999.0,26.91,-99999.0,273.10001,6.4 -710,2020-12-11 12:00:00+00:00,36.77,-99999.0,36.839,26.91,-99999.0,-99999.0,26.85,-99999.0,280.70001,6.8 -711,2020-12-12 12:00:00+00:00,36.763,-99999.0,36.828,26.92,-99999.0,-99999.0,26.82,-99999.0,276.5,6.1 -712,2020-12-13 12:00:00+00:00,36.766,-99999.0,36.831,26.92,-99999.0,-99999.0,26.82,-99999.0,284.60001,6.0 -713,2020-12-14 12:00:00+00:00,36.762,-99999.0,36.834,26.89,-99999.0,-99999.0,26.81,-99999.0,282.5,5.6 -714,2020-12-15 12:00:00+00:00,36.776,-99999.0,36.84,26.89,-99999.0,-99999.0,26.83,-99999.0,269.39999,5.8 -715,2020-12-16 12:00:00+00:00,36.785,-99999.0,36.851,26.94,-99999.0,-99999.0,26.85,-99999.0,274.0,5.8 -716,2020-12-17 12:00:00+00:00,36.797,-99999.0,36.865,27.01,-99999.0,-99999.0,26.93,-99999.0,268.29999,5.5 -717,2020-12-18 12:00:00+00:00,36.805,-99999.0,36.878,27.1,-99999.0,-99999.0,27.02,-99999.0,252.60001,5.8 -718,2020-12-19 12:00:00+00:00,36.768,-99999.0,36.848,27.16,-99999.0,-99999.0,27.07,-99999.0,244.5,5.9 -719,2020-12-20 12:00:00+00:00,36.712,-99999.0,36.784,27.18,-99999.0,-99999.0,27.11,-99999.0,250.2,6.3 -720,2020-12-21 12:00:00+00:00,36.671,-99999.0,36.74,27.22,-99999.0,-99999.0,27.11,-99999.0,235.60001,5.4 -721,2020-12-22 12:00:00+00:00,36.685,-99999.0,36.754,27.23,-99999.0,-99999.0,27.12,-99999.0,244.5,5.9 -722,2020-12-23 12:00:00+00:00,36.688,-99999.0,36.752,27.19,-99999.0,-99999.0,27.11,-99999.0,231.89999,4.9 -723,2020-12-24 12:00:00+00:00,36.723,-99999.0,36.791,27.11,-99999.0,-99999.0,27.08,-99999.0,242.7,6.1 -724,2020-12-25 12:00:00+00:00,36.689,-99999.0,36.751,27.08,-99999.0,-99999.0,27.03,-99999.0,236.5,7.0 -725,2020-12-26 12:00:00+00:00,36.722,-99999.0,36.783,27.14,-99999.0,-99999.0,27.08,-99999.0,249.89999,6.9 -726,2020-12-27 12:00:00+00:00,36.748,-99999.0,36.808,27.12,-99999.0,-99999.0,27.08,-99999.0,272.39999,7.8 -727,2020-12-28 12:00:00+00:00,36.777,-99999.0,36.836,27.1,-99999.0,-99999.0,27.04,-99999.0,275.89999,7.4 -728,2020-12-29 12:00:00+00:00,36.801,-99999.0,36.859,27.07,-99999.0,-99999.0,27.02,-99999.0,273.10001,6.4 -729,2020-12-30 12:00:00+00:00,36.819,-99999.0,36.877,27.06,-99999.0,-99999.0,27.0,-99999.0,262.20001,6.7 -730,2020-12-31 12:00:00+00:00,36.832,-99999.0,36.89,27.11,-99999.0,-99999.0,27.01,-99999.0,267.29999,6.3 -731,2021-01-01 12:00:00+00:00,36.82,-99999.0,36.872,27.11,-99999.0,-99999.0,26.93,-99999.0,260.5,5.1 -732,2021-01-02 12:00:00+00:00,36.809,-99999.0,36.863,27.06,-99999.0,-99999.0,26.92,-99999.0,253.3,5.2 -733,2021-01-03 12:00:00+00:00,36.808,-99999.0,36.868,26.99,-99999.0,-99999.0,26.92,-99999.0,257.79999,6.2 -734,2021-01-04 12:00:00+00:00,36.825,-99999.0,36.881,26.99,-99999.0,-99999.0,26.92,-99999.0,265.89999,7.3 -735,2021-01-05 12:00:00+00:00,36.83,-99999.0,36.885,27.0,-99999.0,-99999.0,26.92,-99999.0,269.89999,6.6 -736,2021-01-06 12:00:00+00:00,36.862,-99999.0,36.918,27.13,-99999.0,-99999.0,27.03,-99999.0,261.89999,6.1 -737,2021-01-07 12:00:00+00:00,36.855,-99999.0,36.907,27.15,-99999.0,-99999.0,27.04,-99999.0,256.60001,5.8 -738,2021-01-08 12:00:00+00:00,36.857,-99999.0,36.91,27.21,-99999.0,-99999.0,27.05,-99999.0,253.10001,5.4 -739,2021-01-09 12:00:00+00:00,36.874,-99999.0,36.923,27.24,-99999.0,-99999.0,27.11,-99999.0,250.39999,5.9 -740,2021-01-10 12:00:00+00:00,36.879,-99999.0,36.927,27.28,-99999.0,-99999.0,27.14,-99999.0,248.7,5.3 -741,2021-01-11 12:00:00+00:00,36.893,-99999.0,36.937,27.42,-99999.0,-99999.0,27.19,-99999.0,258.79999,4.9 -742,2021-01-12 12:00:00+00:00,36.924,-99999.0,36.963,27.5,-99999.0,-99999.0,27.26,-99999.0,254.3,4.6 -743,2021-01-13 12:00:00+00:00,36.861,-99999.0,36.91,27.34,-99999.0,-99999.0,27.24,-99999.0,256.60001,5.8 -744,2021-01-14 12:00:00+00:00,36.865,-99999.0,36.917,27.3,-99999.0,-99999.0,27.24,-99999.0,263.5,7.6 -745,2021-01-15 12:00:00+00:00,36.888,-99999.0,36.938,27.34,-99999.0,-99999.0,27.27,-99999.0,268.60001,7.0 -746,2021-01-16 12:00:00+00:00,36.921,-99999.0,36.973,27.32,-99999.0,-99999.0,27.28,-99999.0,273.79999,7.5 -747,2021-01-17 12:00:00+00:00,36.947,-99999.0,36.999,27.32,-99999.0,-99999.0,27.27,-99999.0,275.20001,7.1 -748,2021-01-18 12:00:00+00:00,36.954,-99999.0,37.004,27.32,-99999.0,-99999.0,27.25,-99999.0,275.10001,7.6 -749,2021-01-19 12:00:00+00:00,36.979,-99999.0,37.029,27.29,-99999.0,-99999.0,27.24,-99999.0,266.89999,7.5 -750,2021-01-20 12:00:00+00:00,37.012,-99999.0,37.062,27.29,-99999.0,-99999.0,27.22,-99999.0,276.60001,7.2 -751,2021-01-21 12:00:00+00:00,37.057,-99999.0,37.106,27.26,-99999.0,-99999.0,27.2,-99999.0,277.10001,6.4 -752,2021-01-22 12:00:00+00:00,37.121,-99999.0,37.172,27.21,-99999.0,-99999.0,27.16,-99999.0,291.5,6.6 -753,2021-01-23 12:00:00+00:00,37.149,-99999.0,37.2,27.16,-99999.0,-99999.0,27.11,-99999.0,286.10001,6.1 -754,2021-01-24 12:00:00+00:00,37.163,-99999.0,37.213,27.12,-99999.0,-99999.0,27.08,-99999.0,278.70001,6.5 -755,2021-01-25 12:00:00+00:00,37.163,-99999.0,37.211,27.12,-99999.0,-99999.0,27.06,-99999.0,275.20001,7.1 -756,2021-01-26 12:00:00+00:00,37.151,-99999.0,37.203,27.1,-99999.0,-99999.0,27.04,-99999.0,284.20001,7.9 -757,2021-01-27 12:00:00+00:00,37.128,-99999.0,37.181,27.08,-99999.0,-99999.0,27.02,-99999.0,282.79999,7.5 -758,2021-01-28 12:00:00+00:00,37.095,-99999.0,37.146,27.06,-99999.0,-99999.0,26.98,-99999.0,279.70001,7.0 -759,2021-01-29 12:00:00+00:00,37.09,-99999.0,37.139,27.06,-99999.0,-99999.0,26.97,-99999.0,273.89999,6.2 -760,2021-01-30 12:00:00+00:00,37.101,-99999.0,37.154,27.03,-99999.0,-99999.0,26.97,-99999.0,276.89999,6.8 -761,2021-01-31 12:00:00+00:00,37.084,-99999.0,37.132,27.01,-99999.0,-99999.0,26.89,-99999.0,272.20001,6.1 -762,2021-02-01 12:00:00+00:00,37.119,-99999.0,37.171,27.11,-99999.0,-99999.0,27.02,-99999.0,262.39999,5.9 -763,2021-02-02 12:00:00+00:00,37.139,-99999.0,37.19,27.22,-99999.0,-99999.0,27.13,-99999.0,259.0,5.7 -764,2021-02-03 12:00:00+00:00,37.141,-99999.0,-9999.0,27.28,-99999.0,-99999.0,-9999.0,-99999.0,263.60001,5.6 -765,2021-02-04 12:00:00+00:00,37.149,-99999.0,-9999.0,27.29,-99999.0,-99999.0,-9999.0,-99999.0,254.60001,5.8 -766,2021-02-05 12:00:00+00:00,37.161,-99999.0,-9999.0,27.34,-99999.0,-99999.0,-9999.0,-99999.0,251.7,6.7 -767,2021-02-06 12:00:00+00:00,37.154,-99999.0,-9999.0,27.32,-99999.0,-99999.0,-9999.0,-99999.0,258.79999,6.6 -768,2021-02-07 12:00:00+00:00,37.139,-99999.0,-9999.0,27.48,-99999.0,-99999.0,-9999.0,-99999.0,267.10001,5.3 -769,2021-02-08 12:00:00+00:00,37.049,-99999.0,-9999.0,27.46,-99999.0,-99999.0,-9999.0,-99999.0,269.10001,5.3 -770,2021-02-09 12:00:00+00:00,37.04,-99999.0,-9999.0,27.48,-99999.0,-99999.0,-9999.0,-99999.0,272.10001,5.7 -771,2021-02-10 12:00:00+00:00,37.075,-99999.0,-9999.0,27.49,-99999.0,-99999.0,-9999.0,-99999.0,278.10001,6.2 -772,2021-02-11 12:00:00+00:00,37.108,-99999.0,-9999.0,27.51,-99999.0,-99999.0,-9999.0,-99999.0,274.79999,6.0 -773,2021-02-12 12:00:00+00:00,37.131,-99999.0,-9999.0,27.5,-99999.0,-99999.0,-9999.0,-99999.0,280.20001,5.9 -774,2021-02-13 12:00:00+00:00,37.144,-99999.0,-9999.0,27.51,-99999.0,-99999.0,-9999.0,-99999.0,288.60001,5.8 -775,2021-02-14 12:00:00+00:00,37.112,-99999.0,-9999.0,27.56,-99999.0,-99999.0,-9999.0,-99999.0,297.39999,4.3 -776,2021-02-15 12:00:00+00:00,37.072,-99999.0,-9999.0,27.6,-99999.0,-99999.0,-9999.0,-99999.0,289.39999,4.0 -777,2021-02-16 12:00:00+00:00,36.975,-99999.0,-9999.0,27.44,-99999.0,-99999.0,-9999.0,-99999.0,273.10001,3.4 -778,2021-02-17 12:00:00+00:00,36.933,-99999.0,-9999.0,27.45,-99999.0,-99999.0,-9999.0,-99999.0,258.5,6.8 -779,2021-02-18 12:00:00+00:00,36.955,-99999.0,-9999.0,27.5,-99999.0,-99999.0,-9999.0,-99999.0,276.0,7.0 -780,2021-02-19 12:00:00+00:00,36.963,-99999.0,-9999.0,27.54,-99999.0,-99999.0,-9999.0,-99999.0,272.0,4.8 -781,2021-02-20 12:00:00+00:00,36.982,-99999.0,-9999.0,27.54,-99999.0,-99999.0,-9999.0,-99999.0,270.20001,5.6 -782,2021-02-21 12:00:00+00:00,37.013,-99999.0,-9999.0,27.46,-99999.0,-99999.0,-9999.0,-99999.0,284.70001,7.2 -783,2021-02-22 12:00:00+00:00,37.044,-99999.0,-9999.0,27.51,-99999.0,-99999.0,-9999.0,-99999.0,273.10001,5.5 -784,2021-02-23 12:00:00+00:00,37.083,-99999.0,-9999.0,27.44,-99999.0,-99999.0,-9999.0,-99999.0,269.39999,5.8 -785,2021-02-24 12:00:00+00:00,37.101,-99999.0,-9999.0,27.5,-99999.0,-99999.0,-9999.0,-99999.0,268.29999,5.5 -786,2021-02-25 12:00:00+00:00,37.116,-99999.0,-9999.0,27.46,-99999.0,-99999.0,-9999.0,-99999.0,287.5,6.2 -787,2021-02-26 12:00:00+00:00,37.148,-99999.0,-9999.0,27.48,-99999.0,-99999.0,-9999.0,-99999.0,274.60001,6.9 -788,2021-02-27 12:00:00+00:00,37.117,-99999.0,-9999.0,27.58,-99999.0,-99999.0,-9999.0,-99999.0,282.0,5.3 -789,2021-02-28 12:00:00+00:00,37.062,-99999.0,-9999.0,27.57,-99999.0,-99999.0,-9999.0,-99999.0,290.39999,7.5 -790,2021-03-01 12:00:00+00:00,37.043,-99999.0,-9999.0,27.53,-99999.0,-99999.0,-9999.0,-99999.0,290.5,8.3 -791,2021-03-02 12:00:00+00:00,37.038,-99999.0,-9999.0,27.47,-99999.0,-99999.0,-9999.0,-99999.0,293.89999,6.9 -792,2021-03-03 12:00:00+00:00,37.039,-99999.0,-9999.0,27.48,-99999.0,-99999.0,-9999.0,-99999.0,295.29999,6.5 -793,2021-03-04 12:00:00+00:00,37.04,-99999.0,-9999.0,27.49,-99999.0,-99999.0,-9999.0,-99999.0,293.10001,5.4 -794,2021-03-05 12:00:00+00:00,37.046,-99999.0,-9999.0,27.57,-99999.0,-99999.0,-9999.0,-99999.0,276.60001,4.6 -795,2021-03-06 12:00:00+00:00,37.052,-99999.0,-9999.0,27.62,-99999.0,-99999.0,-9999.0,-99999.0,273.10001,4.7 -796,2021-03-07 12:00:00+00:00,37.059,-99999.0,-9999.0,27.72,-99999.0,-99999.0,-9999.0,-99999.0,264.89999,4.6 -797,2021-03-08 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12:00:00+00:00,-9999.0,37.072,37.071,-9999.0,26.12,-99999.0,26.12,-99999.0,282.29999,8.9 -1710,2023-09-07 12:00:00+00:00,-9999.0,37.009,37.006,-9999.0,26.12,-99999.0,26.11,-99999.0,291.79999,8.1 -1711,2023-09-08 12:00:00+00:00,-9999.0,36.987,36.983,-9999.0,26.12,-99999.0,26.11,-99999.0,293.29999,7.8 -1712,2023-09-09 12:00:00+00:00,-9999.0,36.99,36.984,-9999.0,26.06,-99999.0,26.06,-99999.0,287.39999,8.4 -1713,2023-09-10 12:00:00+00:00,-9999.0,36.98,36.975,-9999.0,26.04,-99999.0,26.04,-99999.0,282.5,8.3 -1714,2023-09-11 12:00:00+00:00,-9999.0,37.022,37.018,-9999.0,26.0,-99999.0,26.0,-99999.0,284.0,8.2 -1715,2023-09-12 12:00:00+00:00,-9999.0,36.965,36.963,-9999.0,25.99,-99999.0,25.98,-99999.0,285.39999,8.3 -1716,2023-09-13 12:00:00+00:00,-9999.0,36.995,37.006,-9999.0,25.95,-99999.0,25.92,-99999.0,285.29999,7.6 -1717,2023-09-14 12:00:00+00:00,-9999.0,36.946,36.989,-9999.0,25.96,-99999.0,25.92,-99999.0,267.20001,6.1 -1718,2023-09-15 12:00:00+00:00,-9999.0,36.924,36.963,-9999.0,26.01,-99999.0,25.96,-99999.0,257.60001,5.1 -1719,2023-09-16 12:00:00+00:00,-9999.0,36.914,36.925,-9999.0,26.13,-99999.0,26.07,-99999.0,295.79999,6.4 -1720,2023-09-17 12:00:00+00:00,-9999.0,36.926,36.919,-9999.0,26.22,-99999.0,26.22,-99999.0,298.70001,8.3 -1721,2023-09-18 12:00:00+00:00,-9999.0,36.928,36.922,-9999.0,26.19,-99999.0,26.19,-99999.0,294.29999,9.0 From 0b51f6e807f2bf74edfda5b5383e915273b6188a Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 11:32:51 -0300 Subject: [PATCH 37/90] Criado usando o Colab --- projeto_final_paloma_anne.ipynb | 1657 +++++++++++++++++++++++++++++++ 1 file changed, 1657 insertions(+) create mode 100644 projeto_final_paloma_anne.ipynb diff --git a/projeto_final_paloma_anne.ipynb b/projeto_final_paloma_anne.ipynb new file mode 100644 index 0000000..e7f3fbe --- /dev/null +++ b/projeto_final_paloma_anne.ipynb @@ -0,0 +1,1657 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "authorship_tag": "ABX9TyOvSBnPVWpwBmHxLVn3qHbT", + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Projeto Final de Análise de Dados**\n", + "\n", + "Desenvolvido por:\n", + "\n", + "Paloma Avena palomaavena@gmail.com\n", + "\n", + "Anne Ribeiro anne.asribeiro@gmail.com\n", + "\n" + ], + "metadata": { + "id": "4nPdko9j_PEt" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Contexto**\n", + "Este projeto consiste na criação de um banco de dados e análise destes dados de desmatamento e CO2 do estado da Bahia nos últimos 5 anos." + ], + "metadata": { + "id": "WIMvI1tp_XVU" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Etapas do projeto:**\n", + "\n", + "\n", + "1. Selecionar a Base de Dados\n", + "2. Definir Objetivo e Perguntas\n", + "3. Realizar Análise Exploratória\n", + "4. Gerar Base Final\n", + "5. Criar Visualizações no Tableau\n", + "6. Preparar Apresentação Final\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "metadata": { + "id": "uk5GxJpZ_ouB" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Bases Escolhidas**\n", + "\n", + "Base 1: MapBiomas Alertas\n", + "https://plataforma.alerta.mapbiomas.org/downloads\n", + "\n", + "Base 2: Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)\n", + "https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA.." + ], + "metadata": { + "id": "vqYQ20MD_orK" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Objetivo Geral:**\n", + "\n", + "Criar um banco de dados e realizar uma análise dos dados com o objetivo de identificar variáveis de como o desmatamento na Bahia impacta nas taxas de emissão de CO2 ?" + ], + "metadata": { + "id": "ZypjoEDB_ooh" + } + }, + { + "cell_type": "markdown", + "source": [ + "**As perguntas norteadoras deste projeto são:**\n", + "\n", + "Como o desmatamento na Bahia impacta as taxas de emissão de CO₂ e qual sua relação com a temperatura dos oceanos?\n", + "\n", + "Qual a taxa de desmatamento nos biomas/municípios da Bahia e como ela evoluiu no período de 2019 a 2022?\n", + "\n", + "Qual a taxa de CO2 nos municípios da Bahia e como ela evoluiu no período de 2019 a 2022?\n", + "\n", + "Existe uma relação entre as áreas desmatadas e o aumento de CO2?\n", + "\n", + "Quais regiões da Bahia apresentam as maiores emissões de carbono derivadas do desmatamento?\n", + "\n", + "Houve alguma alteração no período da Pandemia?" + ], + "metadata": { + "id": "mrO_v4O1_olp" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Ferramentas Utilizadas:**\n", + "\n", + "Banco de dados\n", + "Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc.\n", + "Tableau: Para criar as visualizações finais e apresentar os insights gerados.\n", + "GitHub: Para versionamento do projeto e documentação.\n", + "Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem.\n", + "\n" + ], + "metadata": { + "id": "VV5GKSMc_oia" + } + }, + { + "cell_type": "markdown", + "source": [ + "Instalando o **Python**: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador.\n", + "\n", + "Instalando o **Visual Studio Code (VS Code)**: Acesse o site (https://code.visualstudio.com/).\n", + "\n", + "**Extensões** que irão tornar o processo de desenvolvimento mais simples e intuitivo:\n", + "\n", + "SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos SQLite (.db), executar consultas SQL, visualizar dados e até mesmo criar tabelas e colunas diretamente no VS Code.\n", + "\n", + "SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros.\n", + "\n", + "\n", + "**Bibliotecas e módulos:**\n", + "\n", + "sqlite3\n", + "csv\n", + "Pandas\n", + "Seaborn\n", + "Matplotlib\n" + ], + "metadata": { + "id": "n33nNlCqgZFC" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Lendo Dados de um Arquivo CSV e Inserindo no Banco**\n", + "\n", + "Vamos começar lendo dados de um arquivo CSV e inserindo-os em uma tabela do banco de dados SQLite." + ], + "metadata": { + "id": "Mli_IJAwjKhD" + } + }, + { + "cell_type": "code", + "source": [ + "# Criando a Tabela no SQLite\n", + "# Primeiro, vamos criar uma tabela no banco de dados SQLite onde os dados do CSV serão armazenados.\n", + "\n", + "import sqlite3\n", + "\n", + "# Conectando ao banco de dados SQLite (ou criando se não existir)\n", + "conn = sqlite3.connect('banco_projeto.db')\n", + "cursor = conn.cursor()\n", + "\n", + "# Criando a tabela\n", + "cursor.execute(\"\"\"\n", + "CREATE TABLE IF NOT EXISTS dados_projeto (\n", + " id INTEGER PRIMARY KEY AUTOINCREMENT,\n", + " municipio TEXT NOT NULL,\n", + " ano INTEGER NOT NULL,\n", + " co2_t INTEGER NOT NULL,\n", + " area_ha INTEGER NOT NULL,\n", + "\n", + ")\n", + "\"\"\")\n", + "\n", + "# Salvando as mudanças\n", + "conn.commit()" + ], + "metadata": { + "id": "Ji3LEpVgjUL5" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "\n", + "\n", + "> Adicionar aspas\n", + "\n", + "Talvez essa parte seja no final apos os dados trabalhados\n", + "\n", + "> Adicionar aspas\n", + "\n" + ], + "metadata": { + "id": "o_MB9HIap-ww" + } + }, + { + "cell_type": "code", + "source": [ + "# Agora, vamos ler o arquivo CSV e inserir os dados na tabela:\n", + "\n", + "import csv\n", + "import sqlite3\n", + "\n", + "# Conectando ao banco de dados\n", + "conn = sqlite3.connect('banco_projeto.db')\n", + "cursor = conn.cursor()\n", + "\n", + "# Abrindo o arquivo CSV , dados.csv o nome do arquivo\n", + "with open('dados.csv', 'r') as arquivo_csv: # with open('clientes.csv', newline='', encoding='utf-8') as csvfile:\n", + " leitor_csv = csv.reader(arquivo_csv) # leitor = csv.reader(csvfile)\n", + "\n", + " # Pulando o cabeçalho\n", + " next(leitor_csv) # next(leitor)\n", + "\n", + " # Inserindo cada linha do CSV na tabela\n", + " for linha in leitor_csv: # for linha in leitor:\n", + " cursor.execute(\"INSERT INTO dados_projeto (id, municipio, ano, co2_t, area_ha) VALUES (?, ?, ?, ?, ?)\", (linha[0], int(linha[1])) # cursor.execute(\"INSERT INTO clientes (nome, email) VALUES (?, ?)\", (linha[1], linha[2]))\n", + "\n", + " # Insere vários estudantes de uma vez\n", + " # cursor.executemany(\"INSERT INTO estudantes (nome, idade) VALUES (?, ?)\", estudantes)\n", + "\n", + " # consultar https://github.com/palomaavena/on35-python-s08-banco-de-dados-II/tree/main/exercicios/para-casa\n", + "\n", + "# Salvando as mudanças\n", + "conn.commit()\n", + "\n", + "# Fechando a conexão\n", + "cursor.close()\n", + "conn.close()" + ], + "metadata": { + "id": "Tpvq5zsEkIsj" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "\n", + "**Análise exploratória de dados**\n", + "\n" + ], + "metadata": { + "id": "miL-Xxpd_niS" + } + }, + { + "cell_type": "markdown", + "source": [ + "1. DADOS DE CO2 - SEEG\n" + ], + "metadata": { + "id": "c48LiFSG_Fft" + } + }, + { + "cell_type": "markdown", + "source": [ + "Coleta de dados CO2 Bahia, SEEG:\n", + "\n", + "\n", + "link: https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-bahia&_gl=1*gambxz*_ga*MTk5NTgxNjM5MS4xNzI1NjQzNTE1*_ga_XZWSWEJDWQ*MTcyNTY0MzUxNS4xLjAuMTcyNTY0MzUxNS4wLjAuMA..blob:https://plataforma.seeg.eco.br/845fd445-2d02-43a9-bb87-14435bfb6c1b\n", + "\n", + "\n", + "CO2: quantidade em tonelada" + ], + "metadata": { + "id": "vo84te4Y7n-P" + } + }, + { + "cell_type": "markdown", + "source": [ + "Importando os dados das planilhas" + ], + "metadata": { + "id": "rfcw5b-JebFU" + } + }, + { + "cell_type": "code", + "source": [ + "# Primeiro, instale a biblioteca pandas se ainda não estiver instalada\n", + "!pip install pandas\n", + "\n", + "# Importando os dados\n", + "import pandas as pd\n", + "import csv\n", + "\n", + "# Carregando os dois arquivos CSV\n", + "# Caso esteja rodando localmente, altere o caminho dos arquivos.\n", + "# No Colab, você pode fazer upload dos arquivos com os botões de upload e colocar somente o nome do arquivo abaixo\n", + "\n", + "df1 = pd.read_csv('SEEG.csv')\n", + "df2 = pd.read_csv('SEEG1.csv')\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "print(df1.head())\n", + "print(df2.head())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dxaI-_ekeF9W", + "outputId": "1b116aa2-2e5b-48b5-b4f8-88b67865bacc" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.2.2)\n", + "Requirement already satisfied: numpy>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from pandas) (1.26.4)\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n", + " Categoria 1990 1991 \\\n", + "0 Mudança de Uso da Terra e Floresta 7.034675e+07 7.178002e+07 \n", + "\n", + " 1992 1993 1994 1995 1996 \\\n", + "0 6.619761e+07 7.059627e+07 6.556189e+07 6.583727e+07 5.788894e+07 \n", + "\n", + " 1997 1998 ... 2013 2014 2015 \\\n", + "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", + "\n", + " 2016 2017 2018 2019 2020 \\\n", + "0 3.130805e+07 3.234297e+07 3.804942e+07 3.372027e+07 3.324519e+07 \n", + "\n", + " 2021 2022 \n", + "0 3.181527e+07 31412973 \n", + "\n", + "[1 rows x 34 columns]\n", + " Categoria 1990 1991 1992 \\\n", + "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", + "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", + "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", + "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", + "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", + "\n", + " 1993 1994 1995 1996 1997 \\\n", + "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", + "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", + "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", + "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", + "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", + "\n", + " 1998 ... 2013 2014 2015 2016 \\\n", + "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", + "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", + "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", + "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", + "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", + "\n", + " 2017 2018 2019 2020 2021 \\\n", + "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "\n", + " 2022 \n", + "0 2729422 \n", + "1 2432263 \n", + "2 1734316 \n", + "3 1473135 \n", + "4 996163 \n", + "\n", + "[5 rows x 34 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df1.info()\n", + "df2.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "248fsSuvOBAa", + "outputId": "b2e19c63-b1e4-4021-9bb5-585d1834b049" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 1 entries, 0 to 0\n", + "Data columns (total 34 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Categoria 1 non-null object \n", + " 1 1990 1 non-null float64\n", + " 2 1991 1 non-null float64\n", + " 3 1992 1 non-null float64\n", + " 4 1993 1 non-null float64\n", + " 5 1994 1 non-null float64\n", + " 6 1995 1 non-null float64\n", + " 7 1996 1 non-null float64\n", + " 8 1997 1 non-null float64\n", + " 9 1998 1 non-null float64\n", + " 10 1999 1 non-null float64\n", + " 11 2000 1 non-null float64\n", + " 12 2001 1 non-null float64\n", + " 13 2002 1 non-null float64\n", + " 14 2003 1 non-null float64\n", + " 15 2004 1 non-null float64\n", + " 16 2005 1 non-null float64\n", + " 17 2006 1 non-null float64\n", + " 18 2007 1 non-null float64\n", + " 19 2008 1 non-null float64\n", + " 20 2009 1 non-null float64\n", + " 21 2010 1 non-null float64\n", + " 22 2011 1 non-null float64\n", + " 23 2012 1 non-null float64\n", + " 24 2013 1 non-null float64\n", + " 25 2014 1 non-null float64\n", + " 26 2015 1 non-null float64\n", + " 27 2016 1 non-null float64\n", + " 28 2017 1 non-null float64\n", + " 29 2018 1 non-null float64\n", + " 30 2019 1 non-null float64\n", + " 31 2020 1 non-null float64\n", + " 32 2021 1 non-null float64\n", + " 33 2022 1 non-null int64 \n", + "dtypes: float64(32), int64(1), object(1)\n", + "memory usage: 400.0+ bytes\n", + "\n", + "RangeIndex: 31 entries, 0 to 30\n", + "Data columns (total 34 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Categoria 31 non-null object \n", + " 1 1990 31 non-null float64\n", + " 2 1991 31 non-null float64\n", + " 3 1992 31 non-null float64\n", + " 4 1993 31 non-null float64\n", + " 5 1994 31 non-null float64\n", + " 6 1995 31 non-null float64\n", + " 7 1996 31 non-null float64\n", + " 8 1997 31 non-null float64\n", + " 9 1998 31 non-null float64\n", + " 10 1999 31 non-null float64\n", + " 11 2000 31 non-null float64\n", + " 12 2001 31 non-null float64\n", + " 13 2002 31 non-null float64\n", + " 14 2003 31 non-null float64\n", + " 15 2004 31 non-null float64\n", + " 16 2005 31 non-null float64\n", + " 17 2006 31 non-null float64\n", + " 18 2007 31 non-null float64\n", + " 19 2008 31 non-null float64\n", + " 20 2009 31 non-null float64\n", + " 21 2010 31 non-null float64\n", + " 22 2011 31 non-null float64\n", + " 23 2012 31 non-null float64\n", + " 24 2013 31 non-null float64\n", + " 25 2014 31 non-null float64\n", + " 26 2015 31 non-null float64\n", + " 27 2016 31 non-null float64\n", + " 28 2017 31 non-null float64\n", + " 29 2018 31 non-null float64\n", + " 30 2019 31 non-null float64\n", + " 31 2020 31 non-null float64\n", + " 32 2021 31 non-null float64\n", + " 33 2022 31 non-null int64 \n", + "dtypes: float64(32), int64(1), object(1)\n", + "memory usage: 8.4+ KB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Converta todas as colunas de anos para string, por exemplo\n", + "\n", + "df1[['2019', '2020', '2021', '2022']] = df1[['2019', '2020', '2021', '2022']].astype(float)\n", + "df2[['2019', '2020', '2021', '2022']] = df2[['2019', '2020', '2021', '2022']].astype(float)\n", + "\n", + "# Converta a coluna Categoria também, se necessário\n", + "df1['Categoria'] = df1['Categoria'].astype(str)\n", + "df2['Categoria'] = df2['Categoria'].astype(str)\n", + "\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "print(df1.head())\n", + "print(df2.head())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "OqzNW3FoO7zC", + "outputId": "f2305ddf-2ecb-4ff4-ecc1-85c58ce44139" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 1990 1991 \\\n", + "0 Mudança de Uso da Terra e Floresta 7.034675e+07 7.178002e+07 \n", + "\n", + " 1992 1993 1994 1995 1996 \\\n", + "0 6.619761e+07 7.059627e+07 6.556189e+07 6.583727e+07 5.788894e+07 \n", + "\n", + " 1997 1998 ... 2013 2014 2015 \\\n", + "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", + "\n", + " 2016 2017 2018 2019 2020 \\\n", + "0 3.130805e+07 3.234297e+07 3.804942e+07 3.372027e+07 3.324519e+07 \n", + "\n", + " 2021 2022 \n", + "0 3.181527e+07 31412973.0 \n", + "\n", + "[1 rows x 34 columns]\n", + " Categoria 1990 1991 1992 \\\n", + "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", + "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", + "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", + "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", + "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", + "\n", + " 1993 1994 1995 1996 1997 \\\n", + "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", + "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", + "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", + "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", + "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", + "\n", + " 1998 ... 2013 2014 2015 2016 \\\n", + "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", + "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", + "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", + "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", + "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", + "\n", + " 2017 2018 2019 2020 2021 \\\n", + "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "\n", + " 2022 \n", + "0 2729422.0 \n", + "1 2432263.0 \n", + "2 1734316.0 \n", + "3 1473135.0 \n", + "4 996163.0 \n", + "\n", + "[5 rows x 34 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remover espaços em branco no início e no fim dos valores das colunas de chave\n", + "\n", + "df1['Categoria'] = df1['Categoria'].str.strip()\n", + "df2['Categoria'] = df2['Categoria'].str.strip()\n", + "\n", + "\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "print(df1.head())\n", + "print(df2.head())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "5g1khb57PCoK", + "outputId": "14b66a07-2f56-4599-8f65-ee0e8557b8be" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 1990 1991 \\\n", + "0 Mudança de Uso da Terra e Floresta 7.034675e+07 7.178002e+07 \n", + "\n", + " 1992 1993 1994 1995 1996 \\\n", + "0 6.619761e+07 7.059627e+07 6.556189e+07 6.583727e+07 5.788894e+07 \n", + "\n", + " 1997 1998 ... 2013 2014 2015 \\\n", + "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", + "\n", + " 2016 2017 2018 2019 2020 \\\n", + "0 3.130805e+07 3.234297e+07 3.804942e+07 3.372027e+07 3.324519e+07 \n", + "\n", + " 2021 2022 \n", + "0 3.181527e+07 31412973.0 \n", + "\n", + "[1 rows x 34 columns]\n", + " Categoria 1990 1991 1992 \\\n", + "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", + "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", + "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", + "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", + "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", + "\n", + " 1993 1994 1995 1996 1997 \\\n", + "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", + "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", + "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", + "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", + "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", + "\n", + " 1998 ... 2013 2014 2015 2016 \\\n", + "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", + "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", + "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", + "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", + "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", + "\n", + " 2017 2018 2019 2020 2021 \\\n", + "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "\n", + " 2022 \n", + "0 2729422.0 \n", + "1 2432263.0 \n", + "2 1734316.0 \n", + "3 1473135.0 \n", + "4 996163.0 \n", + "\n", + "[5 rows x 34 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(\"Valores únicos de Categoria no df1:\", df1['Categoria'].unique())\n", + "print(\"Valores únicos de Categoria no df2:\", df2['Categoria'].unique())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ujuFqHrRPVJL", + "outputId": "d918341b-9b43-4db2-b7d4-5a2c4976ccaf" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Valores únicos de Categoria no df1: ['Mudança de Uso da Terra e Floresta']\n", + "Valores únicos de Categoria no df2: ['São Desidério (BA)' 'Formosa do Rio Preto (BA)' 'Jaborandi (BA)'\n", + " 'Correntina (BA)' 'Barreiras (BA)' 'Riachão das Neves (BA)'\n", + " 'Santa Rita de Cássia (BA)' 'Jequié (BA)' 'Encruzilhada (BA)'\n", + " 'Baianópolis (BA)' 'Valença (BA)' 'Cocos (BA)' 'Belmonte (BA)'\n", + " 'Luís Eduardo Magalhães (BA)' 'Barra (BA)' 'Cotegipe (BA)'\n", + " 'Ibirapitanga (BA)' 'Itagibá (BA)' 'Itapetinga (BA)' 'Iguaí (BA)'\n", + " 'Maraú (BA)' 'Ibicuí (BA)' 'Guaratinga (BA)' 'Nilo Peçanha (BA)'\n", + " 'Camamu (BA)' 'Itambé (BA)' 'Dário Meira (BA)' 'Igrapiúna (BA)'\n", + " 'Ilhéus (BA)' 'Itarantim (BA)' 'Outros']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Fazendo a mesclagem com base em várias colunas\n", + "df_merged = pd.merge(df1, df2, on=['Categoria', '2019', '2020', '2021', '2022'], how='outer', suffixes=('.x', '.y'))\n", + "\n", + "\n", + "# Exibindo as primeiras linhas do arquivo mesclado\n", + "print(df_merged.head())\n", + "\n", + "# Salvando o arquivo final mesclado em um novo CSV\n", + "#df_merged.to_csv('co2_mesclado.csv', index=False)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "FfdOp23TLhdk", + "outputId": "6e83fb7e-ec27-45a6-f2e9-2b0f99acacc5" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 1990.x 1991.x 1992.x 1993.x 1994.x 1995.x 1996.x \\\n", + "0 Baianópolis (BA) NaN NaN NaN NaN NaN NaN NaN \n", + "1 Barra (BA) NaN NaN NaN NaN NaN NaN NaN \n", + "2 Barreiras (BA) NaN NaN NaN NaN NaN NaN NaN \n", + "3 Belmonte (BA) NaN NaN NaN NaN NaN NaN NaN \n", + "4 Camamu (BA) NaN NaN NaN NaN NaN NaN NaN \n", + "\n", + " 1997.x 1998.x ... 2009.y 2010.y 2011.y \\\n", + "0 NaN NaN ... 201533.680923 198100.860538 6.037104e+05 \n", + "1 NaN NaN ... 293285.996844 190840.199123 2.542452e+05 \n", + "2 NaN NaN ... 782536.543400 499205.103294 1.123564e+06 \n", + "3 NaN NaN ... 305481.817527 362152.208117 3.601907e+05 \n", + "4 NaN NaN ... 233046.682173 244347.041716 1.454052e+05 \n", + "\n", + " 2012.y 2013.y 2014.y 2015.y 2016.y \\\n", + "0 6.769915e+05 6.462472e+05 6.534717e+05 4.394508e+05 297636.543553 \n", + "1 2.154561e+05 4.209665e+05 1.320592e+06 7.130062e+05 237763.732862 \n", + "2 2.600460e+06 2.095302e+06 8.441796e+05 1.058625e+06 861108.203390 \n", + "3 2.477949e+05 4.196629e+05 3.442798e+05 3.239090e+05 970812.041222 \n", + "4 2.455068e+05 2.883452e+05 2.205248e+05 1.565318e+05 182309.875579 \n", + "\n", + " 2017.y 2018.y \n", + "0 522833.621365 720253.263252 \n", + "1 373584.710467 381685.422644 \n", + "2 866501.596361 846568.187975 \n", + "3 811434.286499 302593.128041 \n", + "4 283636.498159 325602.310323 \n", + "\n", + "[5 rows x 63 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df_merged.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "9ZQt2hYePVUj", + "outputId": "990d868a-9b4a-4d9a-fb27-44bace3564c9" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 32 entries, 0 to 31\n", + "Data columns (total 63 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Categoria 32 non-null object \n", + " 1 1990.x 1 non-null float64\n", + " 2 1991.x 1 non-null float64\n", + " 3 1992.x 1 non-null float64\n", + " 4 1993.x 1 non-null float64\n", + " 5 1994.x 1 non-null float64\n", + " 6 1995.x 1 non-null float64\n", + " 7 1996.x 1 non-null float64\n", + " 8 1997.x 1 non-null float64\n", + " 9 1998.x 1 non-null float64\n", + " 10 1999.x 1 non-null float64\n", + " 11 2000.x 1 non-null float64\n", + " 12 2001.x 1 non-null float64\n", + " 13 2002.x 1 non-null float64\n", + " 14 2003.x 1 non-null float64\n", + " 15 2004.x 1 non-null float64\n", + " 16 2005.x 1 non-null float64\n", + " 17 2006.x 1 non-null float64\n", + " 18 2007.x 1 non-null float64\n", + " 19 2008.x 1 non-null float64\n", + " 20 2009.x 1 non-null float64\n", + " 21 2010.x 1 non-null float64\n", + " 22 2011.x 1 non-null float64\n", + " 23 2012.x 1 non-null float64\n", + " 24 2013.x 1 non-null float64\n", + " 25 2014.x 1 non-null float64\n", + " 26 2015.x 1 non-null float64\n", + " 27 2016.x 1 non-null float64\n", + " 28 2017.x 1 non-null float64\n", + " 29 2018.x 1 non-null float64\n", + " 30 2019 32 non-null float64\n", + " 31 2020 32 non-null float64\n", + " 32 2021 32 non-null float64\n", + " 33 2022 32 non-null float64\n", + " 34 1990.y 31 non-null float64\n", + " 35 1991.y 31 non-null float64\n", + " 36 1992.y 31 non-null float64\n", + " 37 1993.y 31 non-null float64\n", + " 38 1994.y 31 non-null float64\n", + " 39 1995.y 31 non-null float64\n", + " 40 1996.y 31 non-null float64\n", + " 41 1997.y 31 non-null float64\n", + " 42 1998.y 31 non-null float64\n", + " 43 1999.y 31 non-null float64\n", + " 44 2000.y 31 non-null float64\n", + " 45 2001.y 31 non-null float64\n", + " 46 2002.y 31 non-null float64\n", + " 47 2003.y 31 non-null float64\n", + " 48 2004.y 31 non-null float64\n", + " 49 2005.y 31 non-null float64\n", + " 50 2006.y 31 non-null float64\n", + " 51 2007.y 31 non-null float64\n", + " 52 2008.y 31 non-null float64\n", + " 53 2009.y 31 non-null float64\n", + " 54 2010.y 31 non-null float64\n", + " 55 2011.y 31 non-null float64\n", + " 56 2012.y 31 non-null float64\n", + " 57 2013.y 31 non-null float64\n", + " 58 2014.y 31 non-null float64\n", + " 59 2015.y 31 non-null float64\n", + " 60 2016.y 31 non-null float64\n", + " 61 2017.y 31 non-null float64\n", + " 62 2018.y 31 non-null float64\n", + "dtypes: float64(62), object(1)\n", + "memory usage: 15.9+ KB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Exibe os nomes das colunas\n", + "df_merged.columns" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_nxnSeaIPvL4", + "outputId": "cf54b6a6-ecea-4cd3-e610-b93c041fcfa1" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Index(['Categoria', '1990.x', '1991.x', '1992.x', '1993.x', '1994.x', '1995.x',\n", + " '1996.x', '1997.x', '1998.x', '1999.x', '2000.x', '2001.x', '2002.x',\n", + " '2003.x', '2004.x', '2005.x', '2006.x', '2007.x', '2008.x', '2009.x',\n", + " '2010.x', '2011.x', '2012.x', '2013.x', '2014.x', '2015.x', '2016.x',\n", + " '2017.x', '2018.x', '2019', '2020', '2021', '2022', '1990.y', '1991.y',\n", + " '1992.y', '1993.y', '1994.y', '1995.y', '1996.y', '1997.y', '1998.y',\n", + " '1999.y', '2000.y', '2001.y', '2002.y', '2003.y', '2004.y', '2005.y',\n", + " '2006.y', '2007.y', '2008.y', '2009.y', '2010.y', '2011.y', '2012.y',\n", + " '2013.y', '2014.y', '2015.y', '2016.y', '2017.y', '2018.y'],\n", + " dtype='object')" + ] + }, + "metadata": {}, + "execution_count": 40 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Selecionar as colunas específicas\n", + "\n", + "df_reduzido = df_merged[['Categoria','2019', '2020', '2021', '2022']]\n", + "print(df_reduzido)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "C03aHBXA3taC", + "outputId": "8e02e184-77c0-49ef-f0b4-ca9f1cbdfb12" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 2019 2020 \\\n", + "0 Baianópolis (BA) 6.074368e+05 7.908150e+05 \n", + "1 Barra (BA) 2.260111e+05 1.397781e+05 \n", + "2 Barreiras (BA) 1.568927e+06 1.179766e+06 \n", + "3 Belmonte (BA) 3.904032e+05 3.505588e+05 \n", + "4 Camamu (BA) 2.214714e+05 4.347414e+05 \n", + "5 Cocos (BA) 9.593941e+05 1.218387e+06 \n", + "6 Correntina (BA) 1.545573e+06 1.060526e+06 \n", + "7 Cotegipe (BA) 3.311638e+05 5.599601e+05 \n", + "8 Dário Meira (BA) 9.440196e+04 9.250477e+04 \n", + "9 Encruzilhada (BA) 4.038959e+05 4.516205e+05 \n", + "10 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 \n", + "11 Guaratinga (BA) 2.117080e+05 2.516566e+05 \n", + "12 Ibicuí (BA) 1.696392e+04 3.524000e+04 \n", + "13 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 \n", + "14 Igrapiúna (BA) 2.576941e+05 3.782366e+05 \n", + "15 Iguaí (BA) 8.222719e+04 1.274713e+05 \n", + "16 Ilhéus (BA) 1.588721e+05 1.912059e+05 \n", + "17 Itagibá (BA) 1.216756e+05 7.210208e+04 \n", + "18 Itambé (BA) 1.001077e+05 1.444300e+05 \n", + "19 Itapetinga (BA) 5.707418e+04 4.613513e+04 \n", + "20 Itarantim (BA) 3.847215e+04 6.031930e+04 \n", + "21 Jaborandi (BA) 1.706968e+06 1.744004e+06 \n", + "22 Jequié (BA) 2.491692e+05 1.862657e+05 \n", + "23 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 \n", + "24 Maraú (BA) 8.020749e+04 1.701269e+05 \n", + "25 Mudança de Uso da Terra e Floresta 3.372027e+07 3.324519e+07 \n", + "26 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 \n", + "27 Outros 1.554645e+07 1.304776e+07 \n", + "28 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 \n", + "29 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 \n", + "30 São Desidério (BA) 2.024108e+06 3.091203e+06 \n", + "31 Valença (BA) 2.476738e+05 4.276377e+05 \n", + "\n", + " 2021 2022 \n", + "0 1.700892e+06 413632.0 \n", + "1 7.905882e+04 312169.0 \n", + "2 9.583063e+05 996163.0 \n", + "3 3.314850e+05 354868.0 \n", + "4 1.635482e+05 232571.0 \n", + "5 1.229645e+06 367625.0 \n", + "6 1.585476e+06 1473135.0 \n", + "7 2.925473e+05 297663.0 \n", + "8 1.017979e+05 217077.0 \n", + "9 5.873154e+05 414662.0 \n", + "10 2.299738e+06 2432263.0 \n", + "11 1.717426e+05 243882.0 \n", + "12 2.780070e+04 245755.0 \n", + "13 7.243660e+04 292758.0 \n", + "14 1.486217e+05 210971.0 \n", + "15 1.559627e+05 277970.0 \n", + "16 1.317151e+05 209209.0 \n", + "17 1.114533e+05 288483.0 \n", + "18 6.526349e+04 227632.0 \n", + "19 2.072777e+04 285382.0 \n", + "20 1.040533e+04 203154.0 \n", + "21 2.051921e+06 1734316.0 \n", + "22 1.639264e+05 498001.0 \n", + "23 6.542620e+05 343098.0 \n", + "24 1.032113e+05 275953.0 \n", + "25 3.181527e+07 31412973.0 \n", + "26 5.956842e+04 238334.0 \n", + "27 1.342087e+07 13978140.0 \n", + "28 7.619633e+05 670183.0 \n", + "29 9.987006e+05 569631.0 \n", + "30 3.159580e+06 2729422.0 \n", + "31 1.953325e+05 378871.0 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Altera os nomes das colunas\n", + "\n", + "df_reduzido.columns = ['Municípios', '2019', '2020', '2021', '2022']\n", + "print(df_reduzido)" + ], + "metadata": { + "id": "hJwmd2gz47IT", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "8d115c57-993c-4534-b012-3d6e641176dc" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 \\\n", + "0 Baianópolis (BA) 6.074368e+05 7.908150e+05 \n", + "1 Barra (BA) 2.260111e+05 1.397781e+05 \n", + "2 Barreiras (BA) 1.568927e+06 1.179766e+06 \n", + "3 Belmonte (BA) 3.904032e+05 3.505588e+05 \n", + "4 Camamu (BA) 2.214714e+05 4.347414e+05 \n", + "5 Cocos (BA) 9.593941e+05 1.218387e+06 \n", + "6 Correntina (BA) 1.545573e+06 1.060526e+06 \n", + "7 Cotegipe (BA) 3.311638e+05 5.599601e+05 \n", + "8 Dário Meira (BA) 9.440196e+04 9.250477e+04 \n", + "9 Encruzilhada (BA) 4.038959e+05 4.516205e+05 \n", + "10 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 \n", + "11 Guaratinga (BA) 2.117080e+05 2.516566e+05 \n", + "12 Ibicuí (BA) 1.696392e+04 3.524000e+04 \n", + "13 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 \n", + "14 Igrapiúna (BA) 2.576941e+05 3.782366e+05 \n", + "15 Iguaí (BA) 8.222719e+04 1.274713e+05 \n", + "16 Ilhéus (BA) 1.588721e+05 1.912059e+05 \n", + "17 Itagibá (BA) 1.216756e+05 7.210208e+04 \n", + "18 Itambé (BA) 1.001077e+05 1.444300e+05 \n", + "19 Itapetinga (BA) 5.707418e+04 4.613513e+04 \n", + "20 Itarantim (BA) 3.847215e+04 6.031930e+04 \n", + "21 Jaborandi (BA) 1.706968e+06 1.744004e+06 \n", + "22 Jequié (BA) 2.491692e+05 1.862657e+05 \n", + "23 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 \n", + "24 Maraú (BA) 8.020749e+04 1.701269e+05 \n", + "25 Mudança de Uso da Terra e Floresta 3.372027e+07 3.324519e+07 \n", + "26 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 \n", + "27 Outros 1.554645e+07 1.304776e+07 \n", + "28 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 \n", + "29 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 \n", + "30 São Desidério (BA) 2.024108e+06 3.091203e+06 \n", + "31 Valença (BA) 2.476738e+05 4.276377e+05 \n", + "\n", + " 2021 2022 \n", + "0 1.700892e+06 413632.0 \n", + "1 7.905882e+04 312169.0 \n", + "2 9.583063e+05 996163.0 \n", + "3 3.314850e+05 354868.0 \n", + "4 1.635482e+05 232571.0 \n", + "5 1.229645e+06 367625.0 \n", + "6 1.585476e+06 1473135.0 \n", + "7 2.925473e+05 297663.0 \n", + "8 1.017979e+05 217077.0 \n", + "9 5.873154e+05 414662.0 \n", + "10 2.299738e+06 2432263.0 \n", + "11 1.717426e+05 243882.0 \n", + "12 2.780070e+04 245755.0 \n", + "13 7.243660e+04 292758.0 \n", + "14 1.486217e+05 210971.0 \n", + "15 1.559627e+05 277970.0 \n", + "16 1.317151e+05 209209.0 \n", + "17 1.114533e+05 288483.0 \n", + "18 6.526349e+04 227632.0 \n", + "19 2.072777e+04 285382.0 \n", + "20 1.040533e+04 203154.0 \n", + "21 2.051921e+06 1734316.0 \n", + "22 1.639264e+05 498001.0 \n", + "23 6.542620e+05 343098.0 \n", + "24 1.032113e+05 275953.0 \n", + "25 3.181527e+07 31412973.0 \n", + "26 5.956842e+04 238334.0 \n", + "27 1.342087e+07 13978140.0 \n", + "28 7.619633e+05 670183.0 \n", + "29 9.987006e+05 569631.0 \n", + "30 3.159580e+06 2729422.0 \n", + "31 1.953325e+05 378871.0 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Verifica valores nulos\n", + "\n", + "nulos = df_reduzido.isnull()\n", + "print(nulos)\n", + "\n", + "# Contagem de valores nulos em cada coluna\n", + "\n", + "nulos_por_coluna = df_reduzido.isnull().sum()\n", + "print(nulos_por_coluna)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4XDFa2Ol6Fgg", + "outputId": "0a75c668-4ddd-4801-b6ed-d4bc6a90b8a3" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 2022\n", + "0 False False False False False\n", + "1 False False False False False\n", + "2 False False False False False\n", + "3 False False False False False\n", + "4 False False False False False\n", + "5 False False False False False\n", + "6 False False False False False\n", + "7 False False False False False\n", + "8 False False False False False\n", + "9 False False False False False\n", + "10 False False False False False\n", + "11 False False False False False\n", + "12 False False False False False\n", + "13 False False False False False\n", + "14 False False False False False\n", + "15 False False False False False\n", + "16 False False False False False\n", + "17 False False False False False\n", + "18 False False False False False\n", + "19 False False False False False\n", + "20 False False False False False\n", + "21 False False False False False\n", + "22 False False False False False\n", + "23 False False False False False\n", + "24 False False False False False\n", + "25 False False False False False\n", + "26 False False False False False\n", + "27 False False False False False\n", + "28 False False False False False\n", + "29 False False False False False\n", + "30 False False False False False\n", + "31 False False False False False\n", + "Municípios 0\n", + "2019 0\n", + "2020 0\n", + "2021 0\n", + "2022 0\n", + "dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remove linhas duplicadas\n", + "\n", + "df_sem_duplicatas = df_reduzido.drop_duplicates()\n", + "print(df_sem_duplicatas)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "RdfDmG8I6UuT", + "outputId": "91cf09cc-13a8-4003-efc3-97a46b7c771e" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 \\\n", + "0 Baianópolis (BA) 6.074368e+05 7.908150e+05 \n", + "1 Barra (BA) 2.260111e+05 1.397781e+05 \n", + "2 Barreiras (BA) 1.568927e+06 1.179766e+06 \n", + "3 Belmonte (BA) 3.904032e+05 3.505588e+05 \n", + "4 Camamu (BA) 2.214714e+05 4.347414e+05 \n", + "5 Cocos (BA) 9.593941e+05 1.218387e+06 \n", + "6 Correntina (BA) 1.545573e+06 1.060526e+06 \n", + "7 Cotegipe (BA) 3.311638e+05 5.599601e+05 \n", + "8 Dário Meira (BA) 9.440196e+04 9.250477e+04 \n", + "9 Encruzilhada (BA) 4.038959e+05 4.516205e+05 \n", + "10 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 \n", + "11 Guaratinga (BA) 2.117080e+05 2.516566e+05 \n", + "12 Ibicuí (BA) 1.696392e+04 3.524000e+04 \n", + "13 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 \n", + "14 Igrapiúna (BA) 2.576941e+05 3.782366e+05 \n", + "15 Iguaí (BA) 8.222719e+04 1.274713e+05 \n", + "16 Ilhéus (BA) 1.588721e+05 1.912059e+05 \n", + "17 Itagibá (BA) 1.216756e+05 7.210208e+04 \n", + "18 Itambé (BA) 1.001077e+05 1.444300e+05 \n", + "19 Itapetinga (BA) 5.707418e+04 4.613513e+04 \n", + "20 Itarantim (BA) 3.847215e+04 6.031930e+04 \n", + "21 Jaborandi (BA) 1.706968e+06 1.744004e+06 \n", + "22 Jequié (BA) 2.491692e+05 1.862657e+05 \n", + "23 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 \n", + "24 Maraú (BA) 8.020749e+04 1.701269e+05 \n", + "25 Mudança de Uso da Terra e Floresta 3.372027e+07 3.324519e+07 \n", + "26 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 \n", + "27 Outros 1.554645e+07 1.304776e+07 \n", + "28 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 \n", + "29 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 \n", + "30 São Desidério (BA) 2.024108e+06 3.091203e+06 \n", + "31 Valença (BA) 2.476738e+05 4.276377e+05 \n", + "\n", + " 2021 2022 \n", + "0 1.700892e+06 413632.0 \n", + "1 7.905882e+04 312169.0 \n", + "2 9.583063e+05 996163.0 \n", + "3 3.314850e+05 354868.0 \n", + "4 1.635482e+05 232571.0 \n", + "5 1.229645e+06 367625.0 \n", + "6 1.585476e+06 1473135.0 \n", + "7 2.925473e+05 297663.0 \n", + "8 1.017979e+05 217077.0 \n", + "9 5.873154e+05 414662.0 \n", + "10 2.299738e+06 2432263.0 \n", + "11 1.717426e+05 243882.0 \n", + "12 2.780070e+04 245755.0 \n", + "13 7.243660e+04 292758.0 \n", + "14 1.486217e+05 210971.0 \n", + "15 1.559627e+05 277970.0 \n", + "16 1.317151e+05 209209.0 \n", + "17 1.114533e+05 288483.0 \n", + "18 6.526349e+04 227632.0 \n", + "19 2.072777e+04 285382.0 \n", + "20 1.040533e+04 203154.0 \n", + "21 2.051921e+06 1734316.0 \n", + "22 1.639264e+05 498001.0 \n", + "23 6.542620e+05 343098.0 \n", + "24 1.032113e+05 275953.0 \n", + "25 3.181527e+07 31412973.0 \n", + "26 5.956842e+04 238334.0 \n", + "27 1.342087e+07 13978140.0 \n", + "28 7.619633e+05 670183.0 \n", + "29 9.987006e+05 569631.0 \n", + "30 3.159580e+06 2729422.0 \n", + "31 1.953325e+05 378871.0 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df_sem_duplicatas = pd.melt(df_sem_duplicatas, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido')\n", + "\n", + "print(df_sem_duplicatas)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "y-O4AWyvWiKo", + "outputId": "ebfcf814-8fc9-45b8-bba9-205e2449657d" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 Baianópolis (BA) 2019 6.074368e+05\n", + "1 Barra (BA) 2019 2.260111e+05\n", + "2 Barreiras (BA) 2019 1.568927e+06\n", + "3 Belmonte (BA) 2019 3.904032e+05\n", + "4 Camamu (BA) 2019 2.214714e+05\n", + ".. ... ... ...\n", + "123 Outros 2022 1.397814e+07\n", + "124 Riachão das Neves (BA) 2022 6.701830e+05\n", + "125 Santa Rita de Cássia (BA) 2022 5.696310e+05\n", + "126 São Desidério (BA) 2022 2.729422e+06\n", + "127 Valença (BA) 2022 3.788710e+05\n", + "\n", + "[128 rows x 3 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Salvando o arquivo final mesclado em um novo CSV\n", + "\n", + "df_sem_duplicatas.to_csv('co2.csv', index=False, encoding='utf-8')\n", + "\n", + "print(df_sem_duplicatas)\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rAUV5SOqQPex", + "outputId": "798b2bd5-95a9-4d9a-b01a-b13d8202eeb1" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 Baianópolis (BA) 2019 6.074368e+05\n", + "1 Barra (BA) 2019 2.260111e+05\n", + "2 Barreiras (BA) 2019 1.568927e+06\n", + "3 Belmonte (BA) 2019 3.904032e+05\n", + "4 Camamu (BA) 2019 2.214714e+05\n", + ".. ... ... ...\n", + "123 Outros 2022 1.397814e+07\n", + "124 Riachão das Neves (BA) 2022 6.701830e+05\n", + "125 Santa Rita de Cássia (BA) 2022 5.696310e+05\n", + "126 São Desidério (BA) 2022 2.729422e+06\n", + "127 Valença (BA) 2022 3.788710e+05\n", + "\n", + "[128 rows x 3 columns]\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**2. DADOS DESMATAMENTO - MAPBIOMAS**" + ], + "metadata": { + "id": "4b3RXVJPee-P" + } + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ], + "metadata": { + "id": "GGWC3zlhehXu" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# importando dados\n", + "\n", + "df3 = pd.read_csv('mapbiomas_ba.csv')\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df3.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dOTnbHapgsxF", + "outputId": "54e20fc2-b210-4d27-f225-37dcf2427f4a" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " CODEALERTA FONTE BIOMA ESTADO MUNICIPIO AREAHA \\\n", + "0 1226926 {SAD-CAATINGA} Caatinga BAHIA Iaçu 2.96 \n", + "1 1226922 {SAD-CAATINGA} Caatinga BAHIA Miguel Calmon 1.69 \n", + "2 1227303 {SAD-CAATINGA} Caatinga BAHIA Buritirama 2.05 \n", + "3 1227296 {SAD-CAATINGA} Caatinga BAHIA Piatã 0.69 \n", + "4 1227291 {SAD-CAATINGA} Caatinga BAHIA Cotegipe 23.97 \n", + "\n", + " ANODETEC DATADETEC DTIMGANT DTIMGDEP DTPUBLI VPRESSAO \n", + "0 2024.0 2024/01/01 2023/01/26 2024/02/14 2024/04/30 agriculture \n", + "1 2024.0 2024/01/01 2023/06/30 2024/01/31 2024/04/30 agriculture \n", + "2 2024.0 2024/01/01 2023/03/17 2023/10/10 2024/04/30 agriculture \n", + "3 2024.0 2024/01/01 2023/04/27 2023/06/17 2024/04/30 agriculture \n", + "4 2024.0 2024/01/01 2023/08/12 2023/10/17 2024/04/30 agriculture \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df3.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "TUEysu1IQn2V", + "outputId": "fb2776d2-5a4e-44c9-afc9-48f959320c75" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 CODEALERTA 28397 non-null int64 \n", + " 1 FONTE 28397 non-null object \n", + " 2 BIOMA 28397 non-null object \n", + " 3 ESTADO 28397 non-null object \n", + " 4 MUNICIPIO 28397 non-null object \n", + " 5 AREAHA 28397 non-null float64\n", + " 6 ANODETEC 28397 non-null float64\n", + " 7 DATADETEC 28397 non-null object \n", + " 8 DTIMGANT 28397 non-null object \n", + " 9 DTIMGDEP 28397 non-null object \n", + " 10 DTPUBLI 28397 non-null object \n", + " 11 VPRESSAO 28397 non-null object \n", + "dtypes: float64(2), int64(1), object(9)\n", + "memory usage: 2.6+ MB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Converta todas as colunas de anos para int, por exemplo\n", + "\n", + "df3[['ANODETEC']] = df3[['ANODETEC']].astype(int)\n", + "\n", + "df3.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_0gvkwXlQnbU", + "outputId": "8d13d449-83e4-4cbe-f737-ff3273f6c31e" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 CODEALERTA 28397 non-null int64 \n", + " 1 FONTE 28397 non-null object \n", + " 2 BIOMA 28397 non-null object \n", + " 3 ESTADO 28397 non-null object \n", + " 4 MUNICIPIO 28397 non-null object \n", + " 5 AREAHA 28397 non-null float64\n", + " 6 ANODETEC 28397 non-null int64 \n", + " 7 DATADETEC 28397 non-null object \n", + " 8 DTIMGANT 28397 non-null object \n", + " 9 DTIMGDEP 28397 non-null object \n", + " 10 DTPUBLI 28397 non-null object \n", + " 11 VPRESSAO 28397 non-null object \n", + "dtypes: float64(1), int64(2), object(9)\n", + "memory usage: 2.6+ MB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remover múltiplas colunas de uma vez, temos que deixar municipio, area ha (pra calcular o desmatamento, data tec e ano)\n", + "\n", + "colunas_para_remover = ['CODEALERTA', 'FONTE', 'ESTADO', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'VPRESSAO']\n", + "\n", + "df3_limpo = df3.drop(columns=colunas_para_remover)\n", + "\n", + "print(df3_limpo.head())" + ], + "metadata": { + "id": "UHR6fDjZfFf9", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "35550a0b-892a-463f-935e-b122c730c18e" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA MUNICIPIO AREAHA ANODETEC DATADETEC\n", + "0 Caatinga Iaçu 2.96 2024 2024/01/01\n", + "1 Caatinga Miguel Calmon 1.69 2024 2024/01/01\n", + "2 Caatinga Buritirama 2.05 2024 2024/01/01\n", + "3 Caatinga Piatã 0.69 2024 2024/01/01\n", + "4 Caatinga Cotegipe 23.97 2024 2024/01/01\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "print(df3_limpo.info())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "WBdJUsJ9f3Yi", + "outputId": "273a420e-c4da-44b4-fc3b-9548f8b6850f" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 BIOMA 28397 non-null object \n", + " 1 MUNICIPIO 28397 non-null object \n", + " 2 AREAHA 28397 non-null float64\n", + " 3 ANODETEC 28397 non-null int64 \n", + " 4 DATADETEC 28397 non-null object \n", + "dtypes: float64(1), int64(1), object(3)\n", + "memory usage: 1.1+ MB\n", + "None\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Verificar se tem valores faltantes\n", + "\n", + "print(df3_limpo.isnull().sum())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Jeufw3Gvf6gj", + "outputId": "daaaf05e-b322-4229-b29f-95a91ddf3bd2" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "BIOMA 0\n", + "MUNICIPIO 0\n", + "AREAHA 0\n", + "ANODETEC 0\n", + "DATADETEC 0\n", + "dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df3_MUN = df3_limpo.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_MUN.head())\n", + "\n", + "df3_ANO = df3_limpo.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_ANO.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4LvRvq8pSL8G", + "outputId": "4103c8eb-0c72-4e69-ed0d-28ed38d783e0" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " MUNICIPIO AREAHA\n", + "0 Abaré 22.43\n", + "1 Abaíra 69.20\n", + "2 Acajutiba 127.70\n", + "3 Adustina 482.47\n", + "4 Aiquara 175.27\n", + " ANODETEC AREAHA\n", + "0 2019 64554.41\n", + "1 2020 113073.16\n", + "2 2021 154250.73\n", + "3 2022 227779.90\n", + "4 2023 290593.00\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Salvando o arquivo final em um novo CSV\n", + "\n", + "df3_limpo.to_csv('desmatamento.csv', index=False)\n", + "\n", + "print(df3_limpo)" + ], + "metadata": { + "id": "Dmt95mSDi-XN", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "31168c05-9234-4240-e93f-844adedf2962" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA MUNICIPIO AREAHA ANODETEC DATADETEC\n", + "0 Caatinga Iaçu 2.96 2024 2024/01/01\n", + "1 Caatinga Miguel Calmon 1.69 2024 2024/01/01\n", + "2 Caatinga Buritirama 2.05 2024 2024/01/01\n", + "3 Caatinga Piatã 0.69 2024 2024/01/01\n", + "4 Caatinga Cotegipe 23.97 2024 2024/01/01\n", + "... ... ... ... ... ...\n", + "28392 Caatinga Guajeru 1.47 2024 2024/01/01\n", + "28393 Caatinga Filadélfia 1.56 2024 2024/01/01\n", + "28394 Caatinga Itaberaba 54.26 2024 2024/01/01\n", + "28395 Caatinga Barra da Estiva 7.11 2024 2024/01/01\n", + "28396 Caatinga Várzea da Roça 2.37 2024 2024/01/01\n", + "\n", + "[28397 rows x 5 columns]\n" + ] + } + ] + } + ] +} \ No newline at end of file From 7edc57f5ce2f58254a252b3c88ee2536cdd0327d Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 11:34:04 -0300 Subject: [PATCH 38/90] Rename projeto_final_paloma_anne.ipynb to dados/projeto_final_paloma_anne.ipynb --- .../projeto_final_paloma_anne.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename projeto_final_paloma_anne.ipynb => dados/projeto_final_paloma_anne.ipynb (99%) diff --git a/projeto_final_paloma_anne.ipynb b/dados/projeto_final_paloma_anne.ipynb similarity index 99% rename from projeto_final_paloma_anne.ipynb rename to dados/projeto_final_paloma_anne.ipynb index e7f3fbe..49cfbfc 100644 --- a/projeto_final_paloma_anne.ipynb +++ b/dados/projeto_final_paloma_anne.ipynb @@ -1654,4 +1654,4 @@ ] } ] -} \ No newline at end of file +} From 786739f2ee565714684e8357fe73406af88175f2 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 11:42:01 -0300 Subject: [PATCH 39/90] Rename SEEG.csv to SEEG_EMISSAO.csv --- dados/{SEEG.csv => SEEG_EMISSAO.csv} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename dados/{SEEG.csv => SEEG_EMISSAO.csv} (100%) diff --git a/dados/SEEG.csv b/dados/SEEG_EMISSAO.csv similarity index 100% rename from dados/SEEG.csv rename to dados/SEEG_EMISSAO.csv From 4a8adc61be5a1e25c79d018d57939c1868eb7478 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 11:42:20 -0300 Subject: [PATCH 40/90] Rename SEEG (1).csv to SEEG_MUNICIPIO.csv --- dados/{SEEG (1).csv => SEEG_MUNICIPIO.csv} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename dados/{SEEG (1).csv => SEEG_MUNICIPIO.csv} (99%) diff --git a/dados/SEEG (1).csv b/dados/SEEG_MUNICIPIO.csv similarity index 99% rename from dados/SEEG (1).csv rename to dados/SEEG_MUNICIPIO.csv index 63447ff..93d6d45 100644 --- a/dados/SEEG (1).csv +++ b/dados/SEEG_MUNICIPIO.csv @@ -29,4 +29,4 @@ "Eunápolis (BA)","317437.31590890884","336986.6629986763","298435.972463727","230435.1460340023","486134.1458835602","462920.19834017754","326401.89296746254","169743.48204112053","157352.67016470432","155512.0707911253","139543.21560573578","123025.63880336285","118550.22290277481","174725.93310177326","198787.3062030077","123363.88342475891","106712.14851379395","265047.3824881911","469136.4563022256","447900.61275456846","502309.1367098689","391838.2597080469","307526.97669386864","373962.97770500183","357931.8341803551","368222.15051305294","368082.47220629454","299468.87066316605","283934.50477969646","278711.2049444914","272433.05034795403","258225.42218226194","307460.8571174145" "Cotegipe (BA)","194137.9173438549","256203.56985843182","326301.9955046177","200090.38018244505","238474.0372107029","304985.82018500566","331554.2883861065","174070.39254274964","215571.44755023718","186503.50267970562","214600.24363547564","422121.6176353693","589500.4716850519","282264.8252606392","291628.6941515207","407286.91392070055","233622.73444843292","80609.70036393404","168819.26604127884","134652.4268669486","107653.69823270291","204275.67211270332","533216.6195555925","1348967.760522008","554912.7896368504","402564.58158797026","407269.4670689106","517646.6108622551","363684.5446215272","336455.8292106986","568198.6063740253","298422.8544278443","303051.79577288777" "Ibirapitanga (BA)","231658.1245412156","191483.80258112773","219685.9660123475","171353.614052888","283551.6462628227","184657.44034951925","127544.41685426235","230861.6879107952","81655.36783719063","158184.06833267212","47122.98449444771","129027.83331727982","103130.47824954987","111148.20588421822","140435.67728686333","107092.13986420631","80234.77570199966","67256.46044659615","36327.999911144376","52843.087528169155","76613.26773262024","61282.33580595255","60271.03100925684","67765.54229784012","56471.033737659454","42198.408504247665","86714.2442240715","80651.70583343506","107027.40537977219","92374.26839160919","303004.21062493324","79960.0312911272","299641.8355014324" -"Outros","56408760.469752915","58378251.17513868","54343423.45500681","55375826.19361142","50329059.53862479","51375192.21552278","43422069.78418182","36577058.14514905","32131484.060378954","38295841.2301505","37911622.918441065","36044420.987062514","33108269.613281","31226860.418836053","34304895.79487764","35375944.23826898","26160931.754101876","27008016.526390973","30299298.66412468","32709996.63479566","28582975.538114786","28068405.3743207","32935726.764927857","37306054.30012669","30632436.744741563","27969379.714539282","28842487.962015934","28821440.21669244","33151819.845230307","23509866.457189918","21630402.17458826","21942956.076945152","23247180.31881143" \ No newline at end of file +"Outros","56408760.469752915","58378251.17513868","54343423.45500681","55375826.19361142","50329059.53862479","51375192.21552278","43422069.78418182","36577058.14514905","32131484.060378954","38295841.2301505","37911622.918441065","36044420.987062514","33108269.613281","31226860.418836053","34304895.79487764","35375944.23826898","26160931.754101876","27008016.526390973","30299298.66412468","32709996.63479566","28582975.538114786","28068405.3743207","32935726.764927857","37306054.30012669","30632436.744741563","27969379.714539282","28842487.962015934","28821440.21669244","33151819.845230307","23509866.457189918","21630402.17458826","21942956.076945152","23247180.31881143" From 57362e39e0062798e4d0a9df36186b571b46c041 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 11:43:02 -0300 Subject: [PATCH 41/90] Add files via upload --- dados/SEEG (1) (1).csv | 32 ++++++++++++++++++++++++++++++++ dados/SEEG (1).csv | 2 ++ 2 files changed, 34 insertions(+) create mode 100644 dados/SEEG (1) (1).csv create mode 100644 dados/SEEG (1).csv diff --git a/dados/SEEG (1) (1).csv b/dados/SEEG (1) (1).csv new file mode 100644 index 0000000..da9a020 --- /dev/null +++ b/dados/SEEG (1) (1).csv @@ -0,0 +1,32 @@ +"Categoria","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022" +"São Desidério (BA)","2002523.1431627274","2116496.1231610775","1342631.5499258041","2128145.732547164","1457663.586200714","1380662.308932066","2586179.7481996417","1266969.080886364","2054171.158676803","2441203.1949397326","2222034.214509845","2293109.984957099","2401591.8588505983","1556523.193563223","3029735.5724596977","2320973.0012612343","2085501.0079557896","2482991.922483921","3295319.6210769415","2722614.695801735","1632752.4661712646","2930097.2141416073","3931080.6537201405","1891963.3347599506","1282558.8851758242","1218159.2923240662","921276.1244301796","964714.8993934393","1252957.1195101738","2024107.6610826254","3091203.197527945","3159579.701361537","2729422" +"Formosa do Rio Preto (BA)","826874.6839387417","399467.06951129436","539669.6359939575","791620.5794141293","1109452.2961474657","1319670.478779018","1691259.4924111366","1703958.88682276","1971453.925305009","2335255.6971239","2373974.2128496766","3511846.7405724525","2279491.209871173","2550571.0863540173","7739569.940949798","4145822.788343072","4098729.928821206","3381894.4110631943","4303636.24879235","3541346.0774782896","2141722.030722797","2499666.7549449205","5552447.015273452","3487481.6080954075","2810540.0648887157","1893683.5157688558","680971.9797156453","788568.004088521","1208044.176501885","4220327.0016454905","3073766.4334418774","2299737.8741800785","2432263" +"Jaborandi (BA)","598657.6618748903","323017.60684752464","552221.6797757149","576715.3007353544","619167.0656645894","915672.7741503716","341625.1734676361","286708.75329327583","342547.08958876133","494686.35532045364","670603.5575014949","1278879.4652112722","1254600.5888525248","994301.5907979012","3156893.026153326","2452897.6292773485","1459875.0617890358","1061080.8429330587","2637843.3385949135","2062124.1099615097","2008665.9320218116","1899222.1395030022","2588179.0025975704","2526260.1011197567","1280665.929260075","1001395.005585432","638396.0008676648","753948.0245280266","1162686.5475759506","1706967.7386553884","1744004.154955864","2051920.9407287836","1734316" +"Correntina (BA)","1240466.419623375","1300027.825116992","1251180.4475240707","2444919.6338888407","1626111.5290498734","744216.9325960875","883575.504145205","522413.3580085039","822596.2847896814","690254.2885036469","715198.2528851628","1085080.4869333506","1148453.0169742107","1237021.4412409067","5446671.156622291","1878739.364978075","1483964.0309062004","1157842.713006854","2096835.8558076024","2266658.482316911","1656566.2369773388","1452981.3210683465","3321019.5383404493","1683471.5251070857","1255760.0444988608","1275668.6708729267","1072367.1960805655","1202182.2814872265","1245273.7795187235","1545572.943816781","1060525.6563282013","1585476.3940644264","1473135" +"Barreiras (BA)","1104448.7201375961","980911.2256445885","920102.059561491","1228584.7875204086","1639774.3608580828","1522551.0419615507","1179747.7241241932","1104722.9160385728","1254496.7099493742","1394225.6399327517","1170749.673181653","1177414.818649888","1222790.9109984636","884263.000891149","1161053.3469948769","543921.877332449","506030.0398694277","902137.5186319351","1203413.2709226012","782536.5433995724","499205.1032935977","1123564.3357667923","2600460.2462010384","2095302.0451569557","844179.606407404","1058625.256716609","861108.2033904791","866501.5963608027","846568.1879748702","1568927.0175619423","1179766.0970728397","958306.347179532","996163" +"Riachão das Neves (BA)","374538.32950502634","453126.41213035583","698102.4169119596","673068.8756510019","570989.281134665","543730.9089584947","712927.8378293514","587234.3841611147","1133304.6596153975","856719.2331084013","935628.539736867","1558318.7707704306","1040160.6013054848","773750.22631827","1613260.739129901","845480.0810523629","922758.6725201607","925268.2936869264","1177485.683296293","1076762.5285995007","780656.8611235023","846614.6152854264","1754938.8219302893","1256008.3511853218","695486.1106722951","691818.5452409983","422725.56900691986","531034.7967794836","644022.1785574257","580173.0040331781","1085054.2665590644","761963.2862440944","670183" +"Santa Rita de Cássia (BA)","226557.43086791039","222949.40149974823","214851.61089229584","177983.86021625996","214411.12336826324","272621.06667920947","258111.180675745","231723.21199905872","201275.83959841728","230728.36451554298","449094.892529726","333400.00910425186","369179.921641767","353192.82079184055","245359.08017158508","402341.9596964121","300127.0371155143","200949.73888731003","253266.02139934897","287848.25729715824","285505.51465034485","497676.72537475824","898442.2268003821","979073.3391313553","630820.7976686954","512095.1687514782","483038.423923254","564438.2157644033","601876.538213253","694797.0868461728","859509.3606863022","998700.5789114237","569631" +"Jequié 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+"Categoria","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022" +"Mudança de Uso da Terra e Floresta","70346747.15899676","71780019.26727358","66197609.62467325","70596267.4275751","65561886.20244032","65837268.39167261","57888942.425540954","47957781.19114104","45902644.51174931","52758816.455465525","53541736.09887202","54583565.539362594","48897778.96005872","44792024.845131695","62041921.23971866","53873566.600383624","42938042.57816073","36201333.19042103","44185860.04666814","44958049.99438389","36218796.598589376","37999331.77184552","53872973.21679476","51958218.25629969","37191106.66246329","31902645.03827828","31308046.09885961","32342972.05444017","38049420.59290606","33720265.584785685","33245186.445011586","31815271.56421204","31412973" \ No newline at end of file From 24e76da1a25fd8bd756e89f3c0a8cef1b3d30929 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 11:44:27 -0300 Subject: [PATCH 42/90] Rename SEEG (1) (1).csv to SEEG1.csv --- dados/{SEEG (1) (1).csv => SEEG1.csv} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename dados/{SEEG (1) (1).csv => SEEG1.csv} (99%) diff --git a/dados/SEEG (1) (1).csv b/dados/SEEG1.csv similarity index 99% rename from dados/SEEG (1) (1).csv rename to dados/SEEG1.csv index da9a020..eea3174 100644 --- a/dados/SEEG (1) (1).csv +++ b/dados/SEEG1.csv @@ -29,4 +29,4 @@ "Igrapiúna (BA)","247933.98495578766","221158.03285598755","351998.0268230438","187725.75959277153","201095.76025295258","235276.18028068542","214283.74698090553","312703.96215057373","153875.76913785934","205240.34251260757","147028.1906722784","256203.12545490265","157382.97494745255","137468.34195137024","175963.5770279169","247269.99393939972","142447.7140777111","162062.16402602196","81528.27202820778","161558.35212135315","200616.29953670502","162216.351708889","211496.45918023586","254762.86221075058","139911.26529037952","78423.63782036304","129829.21257305145","179319.85934734344","250652.87633681297","257694.0746061802","378236.5840551853","148621.67436516285","210971" "Ilhéus (BA)","386419.0047328472","236160.82832157612","211535.06815207005","231705.81333732605","453955.1260406971","334144.18026310205","531321.9365355968","530330.0064864159","522189.7269001007","364976.4342908859","427371.3299098015","320402.6188762188","358153.57635867596","282707.9793353081","325058.32712864876","375867.0512923002","301895.61718320847","186719.58517801762","148230.96841335297","185008.53866934776","127185.17959344387","156844.8621108532","205073.70613718033","386747.15787243843","336967.7797948122","181409.36145210266","362044.22869706154","342364.2691216469","141298.05142092705","158872.06799983978","191205.86366391182","131715.1359180212","209209" "Itarantim (BA)","143689.81687164307","329006.69859170914","227038.5821533203","156752.2046070099","90533.79956483841","101681.12075996399","33967.34697151184","79680.81209373474","31488.599822998047","53606.720973968506","41716.83905220032","16515.518067359924","20459.860515594482","44218.08235549927","47883.86952972412","30561.49108505249","28892.208565711975","27585.57336997986","61690.83249473572","53698.60059213638","41052.34385919571","17405.77410888672","13396.074657738209","14465.088772773743","8734.356979608536","13259.80408859253","22204.45796775818","46291.280926942825","54806.389593839645","38472.14862561226","60319.30365371704","10405.33336520195","203154" -"Outros","56023821.458863676","57099800.89437106","53751300.57102227","55528803.01570223","49096044.08315694","50907942.02463588","43215510.49993995","35090165.54792327","31807514.8288365","37056105.011705875","38163816.05757482","35906749.924698144","33144633.531990796","31641999.32941392","33599733.90087794","35112353.95308228","25859755.265146762","21596156.772074685","24457706.922670633","26624685.209844664","22404146.064492077","21790006.573978096","27864186.60987881","30860956.143133715","21564406.676510856","19394085.354062498","20919112.079471588","20785049.222506493","25440473.134083137","15546451.642679542","13047762.222338885","13420866.789134309","13978140" \ No newline at end of file +"Outros","56023821.458863676","57099800.89437106","53751300.57102227","55528803.01570223","49096044.08315694","50907942.02463588","43215510.49993995","35090165.54792327","31807514.8288365","37056105.011705875","38163816.05757482","35906749.924698144","33144633.531990796","31641999.32941392","33599733.90087794","35112353.95308228","25859755.265146762","21596156.772074685","24457706.922670633","26624685.209844664","22404146.064492077","21790006.573978096","27864186.60987881","30860956.143133715","21564406.676510856","19394085.354062498","20919112.079471588","20785049.222506493","25440473.134083137","15546451.642679542","13047762.222338885","13420866.789134309","13978140" From 3ccfada66671a960e81164f1a2752bc40e6a9ef5 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 11:44:41 -0300 Subject: [PATCH 43/90] Rename SEEG (1).csv to SEEG.csv --- dados/{SEEG (1).csv => SEEG.csv} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename dados/{SEEG (1).csv => SEEG.csv} (94%) diff --git a/dados/SEEG (1).csv b/dados/SEEG.csv similarity index 94% rename from dados/SEEG (1).csv rename to dados/SEEG.csv index ad2cea7..a328204 100644 --- a/dados/SEEG (1).csv +++ b/dados/SEEG.csv @@ -1,2 +1,2 @@ "Categoria","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022" -"Mudança de Uso da Terra e Floresta","70346747.15899676","71780019.26727358","66197609.62467325","70596267.4275751","65561886.20244032","65837268.39167261","57888942.425540954","47957781.19114104","45902644.51174931","52758816.455465525","53541736.09887202","54583565.539362594","48897778.96005872","44792024.845131695","62041921.23971866","53873566.600383624","42938042.57816073","36201333.19042103","44185860.04666814","44958049.99438389","36218796.598589376","37999331.77184552","53872973.21679476","51958218.25629969","37191106.66246329","31902645.03827828","31308046.09885961","32342972.05444017","38049420.59290606","33720265.584785685","33245186.445011586","31815271.56421204","31412973" \ No newline at end of file +"Mudança de Uso da Terra e Floresta","70346747.15899676","71780019.26727358","66197609.62467325","70596267.4275751","65561886.20244032","65837268.39167261","57888942.425540954","47957781.19114104","45902644.51174931","52758816.455465525","53541736.09887202","54583565.539362594","48897778.96005872","44792024.845131695","62041921.23971866","53873566.600383624","42938042.57816073","36201333.19042103","44185860.04666814","44958049.99438389","36218796.598589376","37999331.77184552","53872973.21679476","51958218.25629969","37191106.66246329","31902645.03827828","31308046.09885961","32342972.05444017","38049420.59290606","33720265.584785685","33245186.445011586","31815271.56421204","31412973" From 6692cabb6076d85908c2820bed5e44864f9b3660 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 11:45:28 -0300 Subject: [PATCH 44/90] Delete dados/dados.md --- dados/dados.md | 33 --------------------------------- 1 file changed, 33 deletions(-) delete mode 100644 dados/dados.md diff --git a/dados/dados.md b/dados/dados.md deleted file mode 100644 index 2810782..0000000 --- a/dados/dados.md +++ /dev/null @@ -1,33 +0,0 @@ -# Dados CO2 - -Toneladas de CO2 por ano, por emissor, na Bahia -Toneladas de Co2, por ano, por municipio -Ano -Municípios -Emissor - -# Dados Pirata - Temperatura Boia Sul e Boia Norte - -T1 temperatura de superficie -T20 temperatura 20 metros -data: dia e hora=> transformar para ano e somar -mes - - -# Dados Mapbiomas - -area de desmatamento em hectares -ano de detecção => somar -Municípios -mes - -# Banco de dados - -Municipios -Ano_Co2 -Ano_desmat - - -Temp_ano_sup -Temp_ano - From 91584c65e7e2adf29ddefc7cf682c6ac52db3f5e Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 11:46:32 -0300 Subject: [PATCH 45/90] Update projeto_s17_paloma_anne.ipynb --- dados/projeto_s17_paloma_anne.ipynb | 1115 +++++++++++++++++++-------- 1 file changed, 780 insertions(+), 335 deletions(-) diff --git a/dados/projeto_s17_paloma_anne.ipynb b/dados/projeto_s17_paloma_anne.ipynb index 90567aa..49cfbfc 100644 --- a/dados/projeto_s17_paloma_anne.ipynb +++ b/dados/projeto_s17_paloma_anne.ipynb @@ -3,7 +3,9 @@ "nbformat_minor": 0, "metadata": { "colab": { - "provenance": [] + "provenance": [], + "authorship_tag": "ABX9TyOvSBnPVWpwBmHxLVn3qHbT", + "include_colab_link": true }, "kernelspec": { "name": "python3", @@ -14,6 +16,16 @@ } }, "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, { "cell_type": "markdown", "source": [ @@ -266,8 +278,7 @@ { "cell_type": "markdown", "source": [ - "1. DADOS DE CO2\n", - "\n" + "1. DADOS DE CO2 - SEEG\n" ], "metadata": { "id": "c48LiFSG_Fft" @@ -288,51 +299,10 @@ "id": "vo84te4Y7n-P" } }, - { - "cell_type": "code", - "source": [ - "# como fazer o download direto com o link?\n", - "\n", - "import requests\n", - "\n", - "# URL do arquivo CSV\n", - "url = 'https://plataforma.seeg.eco.br/900a4305-86dd-4409-9b21-4e869a8d4768'\n", - "# Nome do arquivo para salvar\n", - "filename = 'co2_seeg.csv'\n", - "\n", - "# Fazer o download do arquivo\n", - "response = requests.get(url)\n", - "\n", - "# Verificar se o download foi bem-sucedido\n", - "if response.status_code == 200:\n", - " with open('co2_seeg.csv', 'wb') as file:\n", - " file.write(response.content)\n", - " print(f\"Arquivo {'co2_seeg.csv'} baixado com sucesso!\")\n", - "else:\n", - " print(f\"Falha ao baixar o arquivo. Status code: {response.status_code}\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "eOjjJ3T-7o9G", - "outputId": "9707451d-e215-4cdf-c9a4-5dbde68ad237" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Arquivo co2_seeg.csv baixado com sucesso!\n" - ] - } - ] - }, { "cell_type": "markdown", "source": [ - "Merge (mesclar) dados csv" + "Importando os dados das planilhas" ], "metadata": { "id": "rfcw5b-JebFU" @@ -350,29 +320,23 @@ "\n", "# Carregando os dois arquivos CSV\n", "# Caso esteja rodando localmente, altere o caminho dos arquivos.\n", - "# No Colab, você pode fazer upload dos arquivos com os botões de upload\n", + "# No Colab, você pode fazer upload dos arquivos com os botões de upload e colocar somente o nome do arquivo abaixo\n", + "\n", "df1 = pd.read_csv('SEEG.csv')\n", "df2 = pd.read_csv('SEEG1.csv')\n", "\n", "# Exibindo as primeiras linhas dos DataFrames para verificar\n", "print(df1.head())\n", - "print(df2.head())\n", - "\n", - "\n", - "#with open('maio_abril_2024.csv', newline='', encoding='utf-8') as csvfile:\n", - " # leitor = csv.reader(csvfile)\n", - " # for linha in leitor:\n", - " # print(linha)\n", - "\n" + "print(df2.head())\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "dxaI-_ekeF9W", - "outputId": "720e4270-99b5-4b03-9626-e0d6430c574f" + "outputId": "1b116aa2-2e5b-48b5-b4f8-88b67865bacc" }, - "execution_count": 8, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -440,12 +404,118 @@ } ] }, + { + "cell_type": "code", + "source": [ + "df1.info()\n", + "df2.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "248fsSuvOBAa", + "outputId": "b2e19c63-b1e4-4021-9bb5-585d1834b049" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 1 entries, 0 to 0\n", + "Data columns (total 34 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Categoria 1 non-null object \n", + " 1 1990 1 non-null float64\n", + " 2 1991 1 non-null float64\n", + " 3 1992 1 non-null float64\n", + " 4 1993 1 non-null float64\n", + " 5 1994 1 non-null float64\n", + " 6 1995 1 non-null float64\n", + " 7 1996 1 non-null float64\n", + " 8 1997 1 non-null float64\n", + " 9 1998 1 non-null float64\n", + " 10 1999 1 non-null float64\n", + " 11 2000 1 non-null float64\n", + " 12 2001 1 non-null float64\n", + " 13 2002 1 non-null float64\n", + " 14 2003 1 non-null float64\n", + " 15 2004 1 non-null float64\n", + " 16 2005 1 non-null float64\n", + " 17 2006 1 non-null float64\n", + " 18 2007 1 non-null float64\n", + " 19 2008 1 non-null float64\n", + " 20 2009 1 non-null float64\n", + " 21 2010 1 non-null float64\n", + " 22 2011 1 non-null float64\n", + " 23 2012 1 non-null float64\n", + " 24 2013 1 non-null float64\n", + " 25 2014 1 non-null float64\n", + " 26 2015 1 non-null float64\n", + " 27 2016 1 non-null float64\n", + " 28 2017 1 non-null float64\n", + " 29 2018 1 non-null float64\n", + " 30 2019 1 non-null float64\n", + " 31 2020 1 non-null float64\n", + " 32 2021 1 non-null float64\n", + " 33 2022 1 non-null int64 \n", + "dtypes: float64(32), int64(1), object(1)\n", + "memory usage: 400.0+ bytes\n", + "\n", + "RangeIndex: 31 entries, 0 to 30\n", + "Data columns (total 34 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Categoria 31 non-null object \n", + " 1 1990 31 non-null float64\n", + " 2 1991 31 non-null float64\n", + " 3 1992 31 non-null float64\n", + " 4 1993 31 non-null float64\n", + " 5 1994 31 non-null float64\n", + " 6 1995 31 non-null float64\n", + " 7 1996 31 non-null float64\n", + " 8 1997 31 non-null float64\n", + " 9 1998 31 non-null float64\n", + " 10 1999 31 non-null float64\n", + " 11 2000 31 non-null float64\n", + " 12 2001 31 non-null float64\n", + " 13 2002 31 non-null float64\n", + " 14 2003 31 non-null float64\n", + " 15 2004 31 non-null float64\n", + " 16 2005 31 non-null float64\n", + " 17 2006 31 non-null float64\n", + " 18 2007 31 non-null float64\n", + " 19 2008 31 non-null float64\n", + " 20 2009 31 non-null float64\n", + " 21 2010 31 non-null float64\n", + " 22 2011 31 non-null float64\n", + " 23 2012 31 non-null float64\n", + " 24 2013 31 non-null float64\n", + " 25 2014 31 non-null float64\n", + " 26 2015 31 non-null float64\n", + " 27 2016 31 non-null float64\n", + " 28 2017 31 non-null float64\n", + " 29 2018 31 non-null float64\n", + " 30 2019 31 non-null float64\n", + " 31 2020 31 non-null float64\n", + " 32 2021 31 non-null float64\n", + " 33 2022 31 non-null int64 \n", + "dtypes: float64(32), int64(1), object(1)\n", + "memory usage: 8.4+ KB\n" + ] + } + ] + }, { "cell_type": "code", "source": [ "# Converta todas as colunas de anos para string, por exemplo\n", - "df1[['2019', '2020', '2021', '2022']] = df1[['2019', '2020', '2021', '2022']].astype(str)\n", - "df2[['2019', '2020', '2021', '2022']] = df2[['2019', '2020', '2021', '2022']].astype(str)\n", + "\n", + "df1[['2019', '2020', '2021', '2022']] = df1[['2019', '2020', '2021', '2022']].astype(float)\n", + "df2[['2019', '2020', '2021', '2022']] = df2[['2019', '2020', '2021', '2022']].astype(float)\n", "\n", "# Converta a coluna Categoria também, se necessário\n", "df1['Categoria'] = df1['Categoria'].astype(str)\n", @@ -461,9 +531,9 @@ "base_uri": "https://localhost:8080/" }, "id": "OqzNW3FoO7zC", - "outputId": "9aec3655-e3a7-4d3d-def3-1bbe1c1e1ca9" + "outputId": "f2305ddf-2ecb-4ff4-ecc1-85c58ce44139" }, - "execution_count": 22, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -478,11 +548,11 @@ " 1997 1998 ... 2013 2014 2015 \\\n", "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", "\n", - " 2016 2017 2018 2019 \\\n", - "0 3.130805e+07 3.234297e+07 3.804942e+07 33720265.584785685 \n", + " 2016 2017 2018 2019 2020 \\\n", + "0 3.130805e+07 3.234297e+07 3.804942e+07 3.372027e+07 3.324519e+07 \n", "\n", - " 2020 2021 2022 \n", - "0 33245186.445011582 31815271.56421204 31412973 \n", + " 2021 2022 \n", + "0 3.181527e+07 31412973.0 \n", "\n", "[1 rows x 34 columns]\n", " Categoria 1990 1991 1992 \\\n", @@ -506,19 +576,19 @@ "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", "\n", - " 2017 2018 2019 2020 \\\n", - "0 9.647149e+05 1.252957e+06 2024107.6610826252 3091203.197527945 \n", - "1 7.885680e+05 1.208044e+06 4220327.0016454905 3073766.4334418774 \n", - "2 7.539480e+05 1.162687e+06 1706967.7386553884 1744004.154955864 \n", - "3 1.202182e+06 1.245274e+06 1545572.943816781 1060525.6563282013 \n", - "4 8.665016e+05 8.465682e+05 1568927.0175619423 1179766.0970728395 \n", + " 2017 2018 2019 2020 2021 \\\n", + "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", "\n", - " 2021 2022 \n", - "0 3159579.701361537 2729422 \n", - "1 2299737.8741800785 2432263 \n", - "2 2051920.940728784 1734316 \n", - "3 1585476.3940644264 1473135 \n", - "4 958306.347179532 996163 \n", + " 2022 \n", + "0 2729422.0 \n", + "1 2432263.0 \n", + "2 1734316.0 \n", + "3 1473135.0 \n", + "4 996163.0 \n", "\n", "[5 rows x 34 columns]\n" ] @@ -529,13 +599,11 @@ "cell_type": "code", "source": [ "# Remover espaços em branco no início e no fim dos valores das colunas de chave\n", + "\n", "df1['Categoria'] = df1['Categoria'].str.strip()\n", "df2['Categoria'] = df2['Categoria'].str.strip()\n", "\n", - "# Para as colunas de ano\n", - "for col in ['2019', '2020', '2021', '2022']:\n", - " df1[col] = df1[col].str.strip()\n", - " df2[col] = df2[col].str.strip()\n", + "\n", "\n", "# Exibindo as primeiras linhas dos DataFrames para verificar\n", "print(df1.head())\n", @@ -546,9 +614,9 @@ "base_uri": "https://localhost:8080/" }, "id": "5g1khb57PCoK", - "outputId": "d12da6c7-a6dc-4eba-c340-cb49b40aa888" + "outputId": "14b66a07-2f56-4599-8f65-ee0e8557b8be" }, - "execution_count": 23, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -563,11 +631,11 @@ " 1997 1998 ... 2013 2014 2015 \\\n", "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", "\n", - " 2016 2017 2018 2019 \\\n", - "0 3.130805e+07 3.234297e+07 3.804942e+07 33720265.584785685 \n", + " 2016 2017 2018 2019 2020 \\\n", + "0 3.130805e+07 3.234297e+07 3.804942e+07 3.372027e+07 3.324519e+07 \n", "\n", - " 2020 2021 2022 \n", - "0 33245186.445011582 31815271.56421204 31412973 \n", + " 2021 2022 \n", + "0 3.181527e+07 31412973.0 \n", "\n", "[1 rows x 34 columns]\n", " Categoria 1990 1991 1992 \\\n", @@ -591,19 +659,19 @@ "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", "\n", - " 2017 2018 2019 2020 \\\n", - "0 9.647149e+05 1.252957e+06 2024107.6610826252 3091203.197527945 \n", - "1 7.885680e+05 1.208044e+06 4220327.0016454905 3073766.4334418774 \n", - "2 7.539480e+05 1.162687e+06 1706967.7386553884 1744004.154955864 \n", - "3 1.202182e+06 1.245274e+06 1545572.943816781 1060525.6563282013 \n", - "4 8.665016e+05 8.465682e+05 1568927.0175619423 1179766.0970728395 \n", + " 2017 2018 2019 2020 2021 \\\n", + "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", "\n", - " 2021 2022 \n", - "0 3159579.701361537 2729422 \n", - "1 2299737.8741800785 2432263 \n", - "2 2051920.940728784 1734316 \n", - "3 1585476.3940644264 1473135 \n", - "4 958306.347179532 996163 \n", + " 2022 \n", + "0 2729422.0 \n", + "1 2432263.0 \n", + "2 1734316.0 \n", + "3 1473135.0 \n", + "4 996163.0 \n", "\n", "[5 rows x 34 columns]\n" ] @@ -621,9 +689,9 @@ "base_uri": "https://localhost:8080/" }, "id": "ujuFqHrRPVJL", - "outputId": "162e1c0e-477d-48ae-f243-05e59757ea0c" + "outputId": "d918341b-9b43-4db2-b7d4-5a2c4976ccaf" }, - "execution_count": 24, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -654,16 +722,16 @@ "print(df_merged.head())\n", "\n", "# Salvando o arquivo final mesclado em um novo CSV\n", - "df_merged.to_csv('co2_mesclado.csv', index=False)\n" + "#df_merged.to_csv('co2_mesclado.csv', index=False)\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "FfdOp23TLhdk", - "outputId": "12048263-fbf6-4b91-a812-e25f91c4dbe2" + "outputId": "6e83fb7e-ec27-45a6-f2e9-2b0f99acacc5" }, - "execution_count": 25, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -712,9 +780,9 @@ "base_uri": "https://localhost:8080/" }, "id": "9ZQt2hYePVUj", - "outputId": "80c5a36d-e97e-4479-806e-f40ad76d7ec9" + "outputId": "990d868a-9b4a-4d9a-fb27-44bace3564c9" }, - "execution_count": 26, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -755,10 +823,10 @@ " 27 2016.x 1 non-null float64\n", " 28 2017.x 1 non-null float64\n", " 29 2018.x 1 non-null float64\n", - " 30 2019 32 non-null object \n", - " 31 2020 32 non-null object \n", - " 32 2021 32 non-null object \n", - " 33 2022 32 non-null object \n", + " 30 2019 32 non-null float64\n", + " 31 2020 32 non-null float64\n", + " 32 2021 32 non-null float64\n", + " 33 2022 32 non-null float64\n", " 34 1990.y 31 non-null float64\n", " 35 1991.y 31 non-null float64\n", " 36 1992.y 31 non-null float64\n", @@ -788,7 +856,7 @@ " 60 2016.y 31 non-null float64\n", " 61 2017.y 31 non-null float64\n", " 62 2018.y 31 non-null float64\n", - "dtypes: float64(58), object(5)\n", + "dtypes: float64(62), object(1)\n", "memory usage: 15.9+ KB\n" ] } @@ -805,9 +873,9 @@ "base_uri": "https://localhost:8080/" }, "id": "_nxnSeaIPvL4", - "outputId": "22f9b64e-cad2-4400-9e30-b9a1ce6a09a0" + "outputId": "cf54b6a6-ecea-4cd3-e610-b93c041fcfa1" }, - "execution_count": 27, + "execution_count": null, "outputs": [ { "output_type": "execute_result", @@ -826,97 +894,98 @@ ] }, "metadata": {}, - "execution_count": 27 + "execution_count": 40 } ] }, { "cell_type": "code", "source": [ - "# Selecionar 3 colunas específicas\n", + "# Selecionar as colunas específicas\n", + "\n", "df_reduzido = df_merged[['Categoria','2019', '2020', '2021', '2022']]\n", - "print(df_co2)" + "print(df_reduzido)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "C03aHBXA3taC", - "outputId": "7b563ecb-f07c-4168-8185-fb4f85a14a55" + "outputId": "8e02e184-77c0-49ef-f0b4-ca9f1cbdfb12" }, - "execution_count": 36, + "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ - " Categoria 2019 \\\n", - "0 Baianópolis (BA) 607436.7982445955 \n", - "1 Barra (BA) 226011.0523688793 \n", - "2 Barreiras (BA) 1568927.0175619423 \n", - "3 Belmonte (BA) 390403.1881421805 \n", - "4 Camamu (BA) 221471.44368362427 \n", - "5 Cocos (BA) 959394.147064954 \n", - "6 Correntina (BA) 1545572.943816781 \n", - "7 Cotegipe (BA) 331163.8086628318 \n", - "8 Dário Meira (BA) 94401.96469908953 \n", - "9 Encruzilhada (BA) 403895.9177992344 \n", - "10 Formosa do Rio Preto (BA) 4220327.0016454905 \n", - "11 Guaratinga (BA) 211708.01093423367 \n", - "12 Ibicuí (BA) 16963.917866706848 \n", - "13 Ibirapitanga (BA) 86205.62920188904 \n", - "14 Igrapiúna (BA) 257694.0746061802 \n", - "15 Iguaí (BA) 82227.19198989868 \n", - "16 Ilhéus (BA) 158872.06799983978 \n", - "17 Itagibá (BA) 121675.55451917648 \n", - "18 Itambé (BA) 100107.73387336732 \n", - "19 Itapetinga (BA) 57074.17749881744 \n", - "20 Itarantim (BA) 38472.14862561226 \n", - "21 Jaborandi (BA) 1706967.7386553884 \n", - "22 Jequié (BA) 249169.2120203972 \n", - "23 Luís Eduardo Magalhães (BA) 800435.7103590965 \n", - "24 Maraú (BA) 80207.4920681715 \n", - "25 Mudança de Uso da Terra e Floresta 33720265.584785685 \n", - "26 Nilo Peçanha (BA) 90276.49283427 \n", - "27 Outros 15546451.642679542 \n", - "28 Riachão das Neves (BA) 580173.0040331781 \n", - "29 Santa Rita de Cássia (BA) 694797.0868461728 \n", - "30 São Desidério (BA) 2024107.6610826252 \n", - "31 Valença (BA) 247673.75340151787 \n", + " Categoria 2019 2020 \\\n", + "0 Baianópolis (BA) 6.074368e+05 7.908150e+05 \n", + "1 Barra (BA) 2.260111e+05 1.397781e+05 \n", + "2 Barreiras (BA) 1.568927e+06 1.179766e+06 \n", + "3 Belmonte (BA) 3.904032e+05 3.505588e+05 \n", + "4 Camamu (BA) 2.214714e+05 4.347414e+05 \n", + "5 Cocos (BA) 9.593941e+05 1.218387e+06 \n", + "6 Correntina (BA) 1.545573e+06 1.060526e+06 \n", + "7 Cotegipe (BA) 3.311638e+05 5.599601e+05 \n", + "8 Dário Meira (BA) 9.440196e+04 9.250477e+04 \n", + "9 Encruzilhada (BA) 4.038959e+05 4.516205e+05 \n", + "10 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 \n", + "11 Guaratinga (BA) 2.117080e+05 2.516566e+05 \n", + "12 Ibicuí (BA) 1.696392e+04 3.524000e+04 \n", + "13 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 \n", + "14 Igrapiúna (BA) 2.576941e+05 3.782366e+05 \n", + "15 Iguaí (BA) 8.222719e+04 1.274713e+05 \n", + "16 Ilhéus (BA) 1.588721e+05 1.912059e+05 \n", + "17 Itagibá (BA) 1.216756e+05 7.210208e+04 \n", + "18 Itambé (BA) 1.001077e+05 1.444300e+05 \n", + "19 Itapetinga (BA) 5.707418e+04 4.613513e+04 \n", + "20 Itarantim (BA) 3.847215e+04 6.031930e+04 \n", + "21 Jaborandi (BA) 1.706968e+06 1.744004e+06 \n", + "22 Jequié (BA) 2.491692e+05 1.862657e+05 \n", + "23 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 \n", + "24 Maraú (BA) 8.020749e+04 1.701269e+05 \n", + "25 Mudança de Uso da Terra e Floresta 3.372027e+07 3.324519e+07 \n", + "26 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 \n", + "27 Outros 1.554645e+07 1.304776e+07 \n", + "28 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 \n", + "29 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 \n", + "30 São Desidério (BA) 2.024108e+06 3.091203e+06 \n", + "31 Valença (BA) 2.476738e+05 4.276377e+05 \n", "\n", - " 2020 2021 2022 \n", - "0 790814.9751247168 1700892.2622466087 413632 \n", - "1 139778.05993533134 79058.81857037544 312169 \n", - "2 1179766.0970728395 958306.347179532 996163 \n", - "3 350558.8480718136 331485.0170983076 354868 \n", - "4 434741.3974044919 163548.15982496738 232571 \n", - "5 1218387.32458961 1229644.9681953788 367625 \n", - "6 1060525.6563282013 1585476.3940644264 1473135 \n", - "7 559960.0834841728 292547.2605621815 297663 \n", - "8 92504.77269613744 101797.88742160796 217077 \n", - "9 451620.4507952333 587315.3614428043 414662 \n", - "10 3073766.4334418774 2299737.8741800785 2432263 \n", - "11 251656.63093233109 171742.56461274624 243882 \n", - "12 35239.99829483032 27800.69570922852 245755 \n", - "13 296362.889919281 72436.60405349731 292758 \n", - "14 378236.5840551853 148621.67436516285 210971 \n", - "15 127471.2907333374 155962.6907043457 277970 \n", - "16 191205.86366391185 131715.1359180212 209209 \n", - "17 72102.08046793938 111453.28504517674 288483 \n", - "18 144429.97027254105 65263.4872546196 227632 \n", - "19 46135.12845611572 20727.768303871155 285382 \n", - "20 60319.30365371704 10405.33336520195 203154 \n", - "21 1744004.154955864 2051920.940728784 1734316 \n", - "22 186265.72844171524 163926.43447589874 498001 \n", - "23 1523413.1056941748 654262.0002045631 343098 \n", - "24 170126.90513539314 103211.31101250648 275953 \n", - "25 33245186.445011582 31815271.56421204 31412973 \n", - "26 154625.95725762844 59568.41939795017 238334 \n", - "27 13047762.222338883 13420866.789134309 13978140 \n", - "28 1085054.2665590644 761963.2862440944 670183 \n", - "29 859509.3606863022 998700.5789114236 569631 \n", - "30 3091203.197527945 3159579.701361537 2729422 \n", - "31 427637.707020998 195332.51262283325 378871 \n" + " 2021 2022 \n", + "0 1.700892e+06 413632.0 \n", + "1 7.905882e+04 312169.0 \n", + "2 9.583063e+05 996163.0 \n", + "3 3.314850e+05 354868.0 \n", + "4 1.635482e+05 232571.0 \n", + "5 1.229645e+06 367625.0 \n", + "6 1.585476e+06 1473135.0 \n", + "7 2.925473e+05 297663.0 \n", + "8 1.017979e+05 217077.0 \n", + "9 5.873154e+05 414662.0 \n", + "10 2.299738e+06 2432263.0 \n", + "11 1.717426e+05 243882.0 \n", + "12 2.780070e+04 245755.0 \n", + "13 7.243660e+04 292758.0 \n", + "14 1.486217e+05 210971.0 \n", + "15 1.559627e+05 277970.0 \n", + "16 1.317151e+05 209209.0 \n", + "17 1.114533e+05 288483.0 \n", + "18 6.526349e+04 227632.0 \n", + "19 2.072777e+04 285382.0 \n", + "20 1.040533e+04 203154.0 \n", + "21 2.051921e+06 1734316.0 \n", + "22 1.639264e+05 498001.0 \n", + "23 6.542620e+05 343098.0 \n", + "24 1.032113e+05 275953.0 \n", + "25 3.181527e+07 31412973.0 \n", + "26 5.956842e+04 238334.0 \n", + "27 1.342087e+07 13978140.0 \n", + "28 7.619633e+05 670183.0 \n", + "29 9.987006e+05 569631.0 \n", + "30 3.159580e+06 2729422.0 \n", + "31 1.953325e+05 378871.0 \n" ] } ] @@ -925,6 +994,7 @@ "cell_type": "code", "source": [ "# Altera os nomes das colunas\n", + "\n", "df_reduzido.columns = ['Municípios', '2019', '2020', '2021', '2022']\n", "print(df_reduzido)" ], @@ -933,81 +1003,81 @@ "colab": { "base_uri": "https://localhost:8080/" }, - "outputId": "8cf5c87e-9355-4fce-c6cb-7f55f81bc0ea" + "outputId": "8d115c57-993c-4534-b012-3d6e641176dc" }, - "execution_count": 37, + "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ - " Municípios 2019 \\\n", - "0 Baianópolis (BA) 607436.7982445955 \n", - "1 Barra (BA) 226011.0523688793 \n", - "2 Barreiras (BA) 1568927.0175619423 \n", - "3 Belmonte (BA) 390403.1881421805 \n", - "4 Camamu (BA) 221471.44368362427 \n", - "5 Cocos (BA) 959394.147064954 \n", - "6 Correntina (BA) 1545572.943816781 \n", - "7 Cotegipe (BA) 331163.8086628318 \n", - "8 Dário Meira (BA) 94401.96469908953 \n", - "9 Encruzilhada (BA) 403895.9177992344 \n", - "10 Formosa do Rio Preto (BA) 4220327.0016454905 \n", - "11 Guaratinga (BA) 211708.01093423367 \n", - "12 Ibicuí (BA) 16963.917866706848 \n", - "13 Ibirapitanga (BA) 86205.62920188904 \n", - "14 Igrapiúna (BA) 257694.0746061802 \n", - "15 Iguaí (BA) 82227.19198989868 \n", - "16 Ilhéus (BA) 158872.06799983978 \n", - "17 Itagibá (BA) 121675.55451917648 \n", - "18 Itambé (BA) 100107.73387336732 \n", - "19 Itapetinga (BA) 57074.17749881744 \n", - "20 Itarantim (BA) 38472.14862561226 \n", - "21 Jaborandi (BA) 1706967.7386553884 \n", - "22 Jequié (BA) 249169.2120203972 \n", - "23 Luís Eduardo Magalhães (BA) 800435.7103590965 \n", - "24 Maraú (BA) 80207.4920681715 \n", - "25 Mudança de Uso da Terra e Floresta 33720265.584785685 \n", - "26 Nilo Peçanha (BA) 90276.49283427 \n", - "27 Outros 15546451.642679542 \n", - "28 Riachão das Neves (BA) 580173.0040331781 \n", - "29 Santa Rita de Cássia (BA) 694797.0868461728 \n", - "30 São Desidério (BA) 2024107.6610826252 \n", - "31 Valença (BA) 247673.75340151787 \n", + " Municípios 2019 2020 \\\n", + "0 Baianópolis (BA) 6.074368e+05 7.908150e+05 \n", + "1 Barra (BA) 2.260111e+05 1.397781e+05 \n", + "2 Barreiras (BA) 1.568927e+06 1.179766e+06 \n", + "3 Belmonte (BA) 3.904032e+05 3.505588e+05 \n", + "4 Camamu (BA) 2.214714e+05 4.347414e+05 \n", + "5 Cocos (BA) 9.593941e+05 1.218387e+06 \n", + "6 Correntina (BA) 1.545573e+06 1.060526e+06 \n", + "7 Cotegipe (BA) 3.311638e+05 5.599601e+05 \n", + "8 Dário Meira (BA) 9.440196e+04 9.250477e+04 \n", + "9 Encruzilhada (BA) 4.038959e+05 4.516205e+05 \n", + "10 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 \n", + "11 Guaratinga (BA) 2.117080e+05 2.516566e+05 \n", + "12 Ibicuí (BA) 1.696392e+04 3.524000e+04 \n", + "13 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 \n", + "14 Igrapiúna (BA) 2.576941e+05 3.782366e+05 \n", + "15 Iguaí (BA) 8.222719e+04 1.274713e+05 \n", + "16 Ilhéus (BA) 1.588721e+05 1.912059e+05 \n", + "17 Itagibá (BA) 1.216756e+05 7.210208e+04 \n", + "18 Itambé (BA) 1.001077e+05 1.444300e+05 \n", + "19 Itapetinga (BA) 5.707418e+04 4.613513e+04 \n", + "20 Itarantim (BA) 3.847215e+04 6.031930e+04 \n", + "21 Jaborandi (BA) 1.706968e+06 1.744004e+06 \n", + "22 Jequié (BA) 2.491692e+05 1.862657e+05 \n", + "23 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 \n", + "24 Maraú (BA) 8.020749e+04 1.701269e+05 \n", + "25 Mudança de Uso da Terra e Floresta 3.372027e+07 3.324519e+07 \n", + "26 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 \n", + "27 Outros 1.554645e+07 1.304776e+07 \n", + "28 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 \n", + "29 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 \n", + "30 São Desidério (BA) 2.024108e+06 3.091203e+06 \n", + "31 Valença (BA) 2.476738e+05 4.276377e+05 \n", "\n", - " 2020 2021 2022 \n", - "0 790814.9751247168 1700892.2622466087 413632 \n", - "1 139778.05993533134 79058.81857037544 312169 \n", - "2 1179766.0970728395 958306.347179532 996163 \n", - "3 350558.8480718136 331485.0170983076 354868 \n", - "4 434741.3974044919 163548.15982496738 232571 \n", - "5 1218387.32458961 1229644.9681953788 367625 \n", - "6 1060525.6563282013 1585476.3940644264 1473135 \n", - "7 559960.0834841728 292547.2605621815 297663 \n", - "8 92504.77269613744 101797.88742160796 217077 \n", - "9 451620.4507952333 587315.3614428043 414662 \n", - "10 3073766.4334418774 2299737.8741800785 2432263 \n", - "11 251656.63093233109 171742.56461274624 243882 \n", - "12 35239.99829483032 27800.69570922852 245755 \n", - "13 296362.889919281 72436.60405349731 292758 \n", - "14 378236.5840551853 148621.67436516285 210971 \n", - "15 127471.2907333374 155962.6907043457 277970 \n", - "16 191205.86366391185 131715.1359180212 209209 \n", - "17 72102.08046793938 111453.28504517674 288483 \n", - "18 144429.97027254105 65263.4872546196 227632 \n", - "19 46135.12845611572 20727.768303871155 285382 \n", - "20 60319.30365371704 10405.33336520195 203154 \n", - "21 1744004.154955864 2051920.940728784 1734316 \n", - "22 186265.72844171524 163926.43447589874 498001 \n", - "23 1523413.1056941748 654262.0002045631 343098 \n", - "24 170126.90513539314 103211.31101250648 275953 \n", - "25 33245186.445011582 31815271.56421204 31412973 \n", - "26 154625.95725762844 59568.41939795017 238334 \n", - "27 13047762.222338883 13420866.789134309 13978140 \n", - "28 1085054.2665590644 761963.2862440944 670183 \n", - "29 859509.3606863022 998700.5789114236 569631 \n", - "30 3091203.197527945 3159579.701361537 2729422 \n", - "31 427637.707020998 195332.51262283325 378871 \n" + " 2021 2022 \n", + "0 1.700892e+06 413632.0 \n", + "1 7.905882e+04 312169.0 \n", + "2 9.583063e+05 996163.0 \n", + "3 3.314850e+05 354868.0 \n", + "4 1.635482e+05 232571.0 \n", + "5 1.229645e+06 367625.0 \n", + "6 1.585476e+06 1473135.0 \n", + "7 2.925473e+05 297663.0 \n", + "8 1.017979e+05 217077.0 \n", + "9 5.873154e+05 414662.0 \n", + "10 2.299738e+06 2432263.0 \n", + "11 1.717426e+05 243882.0 \n", + "12 2.780070e+04 245755.0 \n", + "13 7.243660e+04 292758.0 \n", + "14 1.486217e+05 210971.0 \n", + "15 1.559627e+05 277970.0 \n", + "16 1.317151e+05 209209.0 \n", + "17 1.114533e+05 288483.0 \n", + "18 6.526349e+04 227632.0 \n", + "19 2.072777e+04 285382.0 \n", + "20 1.040533e+04 203154.0 \n", + "21 2.051921e+06 1734316.0 \n", + "22 1.639264e+05 498001.0 \n", + "23 6.542620e+05 343098.0 \n", + "24 1.032113e+05 275953.0 \n", + "25 3.181527e+07 31412973.0 \n", + "26 5.956842e+04 238334.0 \n", + "27 1.342087e+07 13978140.0 \n", + "28 7.619633e+05 670183.0 \n", + "29 9.987006e+05 569631.0 \n", + "30 3.159580e+06 2729422.0 \n", + "31 1.953325e+05 378871.0 \n" ] } ] @@ -1016,10 +1086,12 @@ "cell_type": "code", "source": [ "# Verifica valores nulos\n", + "\n", "nulos = df_reduzido.isnull()\n", "print(nulos)\n", "\n", "# Contagem de valores nulos em cada coluna\n", + "\n", "nulos_por_coluna = df_reduzido.isnull().sum()\n", "print(nulos_por_coluna)" ], @@ -1028,9 +1100,9 @@ "base_uri": "https://localhost:8080/" }, "id": "4XDFa2Ol6Fgg", - "outputId": "b3994467-dbe6-41aa-f4e8-336402995c3b" + "outputId": "0a75c668-4ddd-4801-b6ed-d4bc6a90b8a3" }, - "execution_count": 41, + "execution_count": null, "outputs": [ { "output_type": "stream", @@ -1083,6 +1155,7 @@ "cell_type": "code", "source": [ "# Remove linhas duplicadas\n", + "\n", "df_sem_duplicatas = df_reduzido.drop_duplicates()\n", "print(df_sem_duplicatas)" ], @@ -1091,81 +1164,119 @@ "base_uri": "https://localhost:8080/" }, "id": "RdfDmG8I6UuT", - "outputId": "e928ad5f-1b36-406d-bed6-fb7b890121e0" + "outputId": "91cf09cc-13a8-4003-efc3-97a46b7c771e" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 \\\n", + "0 Baianópolis (BA) 6.074368e+05 7.908150e+05 \n", + "1 Barra (BA) 2.260111e+05 1.397781e+05 \n", + "2 Barreiras (BA) 1.568927e+06 1.179766e+06 \n", + "3 Belmonte (BA) 3.904032e+05 3.505588e+05 \n", + "4 Camamu (BA) 2.214714e+05 4.347414e+05 \n", + "5 Cocos (BA) 9.593941e+05 1.218387e+06 \n", + "6 Correntina (BA) 1.545573e+06 1.060526e+06 \n", + "7 Cotegipe (BA) 3.311638e+05 5.599601e+05 \n", + "8 Dário Meira (BA) 9.440196e+04 9.250477e+04 \n", + "9 Encruzilhada (BA) 4.038959e+05 4.516205e+05 \n", + "10 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 \n", + "11 Guaratinga (BA) 2.117080e+05 2.516566e+05 \n", + "12 Ibicuí (BA) 1.696392e+04 3.524000e+04 \n", + "13 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 \n", + "14 Igrapiúna (BA) 2.576941e+05 3.782366e+05 \n", + "15 Iguaí (BA) 8.222719e+04 1.274713e+05 \n", + "16 Ilhéus (BA) 1.588721e+05 1.912059e+05 \n", + "17 Itagibá (BA) 1.216756e+05 7.210208e+04 \n", + "18 Itambé (BA) 1.001077e+05 1.444300e+05 \n", + "19 Itapetinga (BA) 5.707418e+04 4.613513e+04 \n", + "20 Itarantim (BA) 3.847215e+04 6.031930e+04 \n", + "21 Jaborandi (BA) 1.706968e+06 1.744004e+06 \n", + "22 Jequié (BA) 2.491692e+05 1.862657e+05 \n", + "23 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 \n", + "24 Maraú (BA) 8.020749e+04 1.701269e+05 \n", + "25 Mudança de Uso da Terra e Floresta 3.372027e+07 3.324519e+07 \n", + "26 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 \n", + "27 Outros 1.554645e+07 1.304776e+07 \n", + "28 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 \n", + "29 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 \n", + "30 São Desidério (BA) 2.024108e+06 3.091203e+06 \n", + "31 Valença (BA) 2.476738e+05 4.276377e+05 \n", + "\n", + " 2021 2022 \n", + "0 1.700892e+06 413632.0 \n", + "1 7.905882e+04 312169.0 \n", + "2 9.583063e+05 996163.0 \n", + "3 3.314850e+05 354868.0 \n", + "4 1.635482e+05 232571.0 \n", + "5 1.229645e+06 367625.0 \n", + "6 1.585476e+06 1473135.0 \n", + "7 2.925473e+05 297663.0 \n", + "8 1.017979e+05 217077.0 \n", + "9 5.873154e+05 414662.0 \n", + "10 2.299738e+06 2432263.0 \n", + "11 1.717426e+05 243882.0 \n", + "12 2.780070e+04 245755.0 \n", + "13 7.243660e+04 292758.0 \n", + "14 1.486217e+05 210971.0 \n", + "15 1.559627e+05 277970.0 \n", + "16 1.317151e+05 209209.0 \n", + "17 1.114533e+05 288483.0 \n", + "18 6.526349e+04 227632.0 \n", + "19 2.072777e+04 285382.0 \n", + "20 1.040533e+04 203154.0 \n", + "21 2.051921e+06 1734316.0 \n", + "22 1.639264e+05 498001.0 \n", + "23 6.542620e+05 343098.0 \n", + "24 1.032113e+05 275953.0 \n", + "25 3.181527e+07 31412973.0 \n", + "26 5.956842e+04 238334.0 \n", + "27 1.342087e+07 13978140.0 \n", + "28 7.619633e+05 670183.0 \n", + "29 9.987006e+05 569631.0 \n", + "30 3.159580e+06 2729422.0 \n", + "31 1.953325e+05 378871.0 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df_sem_duplicatas = pd.melt(df_sem_duplicatas, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido')\n", + "\n", + "print(df_sem_duplicatas)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "y-O4AWyvWiKo", + "outputId": "ebfcf814-8fc9-45b8-bba9-205e2449657d" }, - "execution_count": 42, + "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ - " Municípios 2019 \\\n", - "0 Baianópolis (BA) 607436.7982445955 \n", - "1 Barra (BA) 226011.0523688793 \n", - "2 Barreiras (BA) 1568927.0175619423 \n", - "3 Belmonte (BA) 390403.1881421805 \n", - "4 Camamu (BA) 221471.44368362427 \n", - "5 Cocos (BA) 959394.147064954 \n", - "6 Correntina (BA) 1545572.943816781 \n", - "7 Cotegipe (BA) 331163.8086628318 \n", - "8 Dário Meira (BA) 94401.96469908953 \n", - "9 Encruzilhada (BA) 403895.9177992344 \n", - "10 Formosa do Rio Preto (BA) 4220327.0016454905 \n", - "11 Guaratinga (BA) 211708.01093423367 \n", - "12 Ibicuí (BA) 16963.917866706848 \n", - "13 Ibirapitanga (BA) 86205.62920188904 \n", - "14 Igrapiúna (BA) 257694.0746061802 \n", - "15 Iguaí (BA) 82227.19198989868 \n", - "16 Ilhéus (BA) 158872.06799983978 \n", - "17 Itagibá (BA) 121675.55451917648 \n", - "18 Itambé (BA) 100107.73387336732 \n", - "19 Itapetinga (BA) 57074.17749881744 \n", - "20 Itarantim (BA) 38472.14862561226 \n", - "21 Jaborandi (BA) 1706967.7386553884 \n", - "22 Jequié (BA) 249169.2120203972 \n", - "23 Luís Eduardo Magalhães (BA) 800435.7103590965 \n", - "24 Maraú (BA) 80207.4920681715 \n", - "25 Mudança de Uso da Terra e Floresta 33720265.584785685 \n", - "26 Nilo Peçanha (BA) 90276.49283427 \n", - "27 Outros 15546451.642679542 \n", - "28 Riachão das Neves (BA) 580173.0040331781 \n", - "29 Santa Rita de Cássia (BA) 694797.0868461728 \n", - "30 São Desidério (BA) 2024107.6610826252 \n", - "31 Valença (BA) 247673.75340151787 \n", + " Municípios Ano CO2_emitido\n", + "0 Baianópolis (BA) 2019 6.074368e+05\n", + "1 Barra (BA) 2019 2.260111e+05\n", + "2 Barreiras (BA) 2019 1.568927e+06\n", + "3 Belmonte (BA) 2019 3.904032e+05\n", + "4 Camamu (BA) 2019 2.214714e+05\n", + ".. ... ... ...\n", + "123 Outros 2022 1.397814e+07\n", + "124 Riachão das Neves (BA) 2022 6.701830e+05\n", + "125 Santa Rita de Cássia (BA) 2022 5.696310e+05\n", + "126 São Desidério (BA) 2022 2.729422e+06\n", + "127 Valença (BA) 2022 3.788710e+05\n", "\n", - " 2020 2021 2022 \n", - "0 790814.9751247168 1700892.2622466087 413632 \n", - "1 139778.05993533134 79058.81857037544 312169 \n", - "2 1179766.0970728395 958306.347179532 996163 \n", - "3 350558.8480718136 331485.0170983076 354868 \n", - "4 434741.3974044919 163548.15982496738 232571 \n", - "5 1218387.32458961 1229644.9681953788 367625 \n", - "6 1060525.6563282013 1585476.3940644264 1473135 \n", - "7 559960.0834841728 292547.2605621815 297663 \n", - "8 92504.77269613744 101797.88742160796 217077 \n", - "9 451620.4507952333 587315.3614428043 414662 \n", - "10 3073766.4334418774 2299737.8741800785 2432263 \n", - "11 251656.63093233109 171742.56461274624 243882 \n", - "12 35239.99829483032 27800.69570922852 245755 \n", - "13 296362.889919281 72436.60405349731 292758 \n", - "14 378236.5840551853 148621.67436516285 210971 \n", - "15 127471.2907333374 155962.6907043457 277970 \n", - "16 191205.86366391185 131715.1359180212 209209 \n", - "17 72102.08046793938 111453.28504517674 288483 \n", - "18 144429.97027254105 65263.4872546196 227632 \n", - "19 46135.12845611572 20727.768303871155 285382 \n", - "20 60319.30365371704 10405.33336520195 203154 \n", - "21 1744004.154955864 2051920.940728784 1734316 \n", - "22 186265.72844171524 163926.43447589874 498001 \n", - "23 1523413.1056941748 654262.0002045631 343098 \n", - "24 170126.90513539314 103211.31101250648 275953 \n", - "25 33245186.445011582 31815271.56421204 31412973 \n", - "26 154625.95725762844 59568.41939795017 238334 \n", - "27 13047762.222338883 13420866.789134309 13978140 \n", - "28 1085054.2665590644 761963.2862440944 670183 \n", - "29 859509.3606863022 998700.5789114236 569631 \n", - "30 3091203.197527945 3159579.701361537 2729422 \n", - "31 427637.707020998 195332.51262283325 378871 \n" + "[128 rows x 3 columns]\n" ] } ] @@ -1175,35 +1286,369 @@ "source": [ "# Salvando o arquivo final mesclado em um novo CSV\n", "\n", - "df_sem_duplicatas.to_csv('co2.csv', index=False)\n", + "df_sem_duplicatas.to_csv('co2.csv', index=False, encoding='utf-8')\n", "\n", - "df_co2.info()" + "print(df_sem_duplicatas)\n", + "\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "rAUV5SOqQPex", - "outputId": "9ba86d6d-8054-4578-f595-96161da895c6" + "outputId": "798b2bd5-95a9-4d9a-b01a-b13d8202eeb1" }, - "execution_count": 44, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 Baianópolis (BA) 2019 6.074368e+05\n", + "1 Barra (BA) 2019 2.260111e+05\n", + "2 Barreiras (BA) 2019 1.568927e+06\n", + "3 Belmonte (BA) 2019 3.904032e+05\n", + "4 Camamu (BA) 2019 2.214714e+05\n", + ".. ... ... ...\n", + "123 Outros 2022 1.397814e+07\n", + "124 Riachão das Neves (BA) 2022 6.701830e+05\n", + "125 Santa Rita de Cássia (BA) 2022 5.696310e+05\n", + "126 São Desidério (BA) 2022 2.729422e+06\n", + "127 Valença (BA) 2022 3.788710e+05\n", + "\n", + "[128 rows x 3 columns]\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**2. DADOS DESMATAMENTO - MAPBIOMAS**" + ], + "metadata": { + "id": "4b3RXVJPee-P" + } + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ], + "metadata": { + "id": "GGWC3zlhehXu" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# importando dados\n", + "\n", + "df3 = pd.read_csv('mapbiomas_ba.csv')\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df3.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dOTnbHapgsxF", + "outputId": "54e20fc2-b210-4d27-f225-37dcf2427f4a" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " CODEALERTA FONTE BIOMA ESTADO MUNICIPIO AREAHA \\\n", + "0 1226926 {SAD-CAATINGA} Caatinga BAHIA Iaçu 2.96 \n", + "1 1226922 {SAD-CAATINGA} Caatinga BAHIA Miguel Calmon 1.69 \n", + "2 1227303 {SAD-CAATINGA} Caatinga BAHIA Buritirama 2.05 \n", + "3 1227296 {SAD-CAATINGA} Caatinga BAHIA Piatã 0.69 \n", + "4 1227291 {SAD-CAATINGA} Caatinga BAHIA Cotegipe 23.97 \n", + "\n", + " ANODETEC DATADETEC DTIMGANT DTIMGDEP DTPUBLI VPRESSAO \n", + "0 2024.0 2024/01/01 2023/01/26 2024/02/14 2024/04/30 agriculture \n", + "1 2024.0 2024/01/01 2023/06/30 2024/01/31 2024/04/30 agriculture \n", + "2 2024.0 2024/01/01 2023/03/17 2023/10/10 2024/04/30 agriculture \n", + "3 2024.0 2024/01/01 2023/04/27 2023/06/17 2024/04/30 agriculture \n", + "4 2024.0 2024/01/01 2023/08/12 2023/10/17 2024/04/30 agriculture \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df3.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "TUEysu1IQn2V", + "outputId": "fb2776d2-5a4e-44c9-afc9-48f959320c75" + }, + "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\n", - "RangeIndex: 32 entries, 0 to 31\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 CODEALERTA 28397 non-null int64 \n", + " 1 FONTE 28397 non-null object \n", + " 2 BIOMA 28397 non-null object \n", + " 3 ESTADO 28397 non-null object \n", + " 4 MUNICIPIO 28397 non-null object \n", + " 5 AREAHA 28397 non-null float64\n", + " 6 ANODETEC 28397 non-null float64\n", + " 7 DATADETEC 28397 non-null object \n", + " 8 DTIMGANT 28397 non-null object \n", + " 9 DTIMGDEP 28397 non-null object \n", + " 10 DTPUBLI 28397 non-null object \n", + " 11 VPRESSAO 28397 non-null object \n", + "dtypes: float64(2), int64(1), object(9)\n", + "memory usage: 2.6+ MB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Converta todas as colunas de anos para int, por exemplo\n", + "\n", + "df3[['ANODETEC']] = df3[['ANODETEC']].astype(int)\n", + "\n", + "df3.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_0gvkwXlQnbU", + "outputId": "8d13d449-83e4-4cbe-f737-ff3273f6c31e" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 CODEALERTA 28397 non-null int64 \n", + " 1 FONTE 28397 non-null object \n", + " 2 BIOMA 28397 non-null object \n", + " 3 ESTADO 28397 non-null object \n", + " 4 MUNICIPIO 28397 non-null object \n", + " 5 AREAHA 28397 non-null float64\n", + " 6 ANODETEC 28397 non-null int64 \n", + " 7 DATADETEC 28397 non-null object \n", + " 8 DTIMGANT 28397 non-null object \n", + " 9 DTIMGDEP 28397 non-null object \n", + " 10 DTPUBLI 28397 non-null object \n", + " 11 VPRESSAO 28397 non-null object \n", + "dtypes: float64(1), int64(2), object(9)\n", + "memory usage: 2.6+ MB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remover múltiplas colunas de uma vez, temos que deixar municipio, area ha (pra calcular o desmatamento, data tec e ano)\n", + "\n", + "colunas_para_remover = ['CODEALERTA', 'FONTE', 'ESTADO', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'VPRESSAO']\n", + "\n", + "df3_limpo = df3.drop(columns=colunas_para_remover)\n", + "\n", + "print(df3_limpo.head())" + ], + "metadata": { + "id": "UHR6fDjZfFf9", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "35550a0b-892a-463f-935e-b122c730c18e" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA MUNICIPIO AREAHA ANODETEC DATADETEC\n", + "0 Caatinga Iaçu 2.96 2024 2024/01/01\n", + "1 Caatinga Miguel Calmon 1.69 2024 2024/01/01\n", + "2 Caatinga Buritirama 2.05 2024 2024/01/01\n", + "3 Caatinga Piatã 0.69 2024 2024/01/01\n", + "4 Caatinga Cotegipe 23.97 2024 2024/01/01\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "print(df3_limpo.info())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "WBdJUsJ9f3Yi", + "outputId": "273a420e-c4da-44b4-fc3b-9548f8b6850f" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Municípios 32 non-null object\n", - " 1 2019 32 non-null object\n", - " 2 2020 32 non-null object\n", - " 3 2021 32 non-null object\n", - " 4 2022 32 non-null object\n", - "dtypes: object(5)\n", - "memory usage: 1.4+ KB\n" + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 BIOMA 28397 non-null object \n", + " 1 MUNICIPIO 28397 non-null object \n", + " 2 AREAHA 28397 non-null float64\n", + " 3 ANODETEC 28397 non-null int64 \n", + " 4 DATADETEC 28397 non-null object \n", + "dtypes: float64(1), int64(1), object(3)\n", + "memory usage: 1.1+ MB\n", + "None\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Verificar se tem valores faltantes\n", + "\n", + "print(df3_limpo.isnull().sum())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Jeufw3Gvf6gj", + "outputId": "daaaf05e-b322-4229-b29f-95a91ddf3bd2" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "BIOMA 0\n", + "MUNICIPIO 0\n", + "AREAHA 0\n", + "ANODETEC 0\n", + "DATADETEC 0\n", + "dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df3_MUN = df3_limpo.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_MUN.head())\n", + "\n", + "df3_ANO = df3_limpo.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_ANO.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4LvRvq8pSL8G", + "outputId": "4103c8eb-0c72-4e69-ed0d-28ed38d783e0" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " MUNICIPIO AREAHA\n", + "0 Abaré 22.43\n", + "1 Abaíra 69.20\n", + "2 Acajutiba 127.70\n", + "3 Adustina 482.47\n", + "4 Aiquara 175.27\n", + " ANODETEC AREAHA\n", + "0 2019 64554.41\n", + "1 2020 113073.16\n", + "2 2021 154250.73\n", + "3 2022 227779.90\n", + "4 2023 290593.00\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Salvando o arquivo final em um novo CSV\n", + "\n", + "df3_limpo.to_csv('desmatamento.csv', index=False)\n", + "\n", + "print(df3_limpo)" + ], + "metadata": { + "id": "Dmt95mSDi-XN", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "31168c05-9234-4240-e93f-844adedf2962" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA MUNICIPIO AREAHA ANODETEC DATADETEC\n", + "0 Caatinga Iaçu 2.96 2024 2024/01/01\n", + "1 Caatinga Miguel Calmon 1.69 2024 2024/01/01\n", + "2 Caatinga Buritirama 2.05 2024 2024/01/01\n", + "3 Caatinga Piatã 0.69 2024 2024/01/01\n", + "4 Caatinga Cotegipe 23.97 2024 2024/01/01\n", + "... ... ... ... ... ...\n", + "28392 Caatinga Guajeru 1.47 2024 2024/01/01\n", + "28393 Caatinga Filadélfia 1.56 2024 2024/01/01\n", + "28394 Caatinga Itaberaba 54.26 2024 2024/01/01\n", + "28395 Caatinga Barra da Estiva 7.11 2024 2024/01/01\n", + "28396 Caatinga Várzea da Roça 2.37 2024 2024/01/01\n", + "\n", + "[28397 rows x 5 columns]\n" ] } ] From e7f669567c70615ecd6b024fcd1171df8a9537fe Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 11:47:38 -0300 Subject: [PATCH 46/90] Delete dados/projeto_final_paloma_anne.ipynb --- dados/projeto_final_paloma_anne.ipynb | 1657 ------------------------- 1 file changed, 1657 deletions(-) delete mode 100644 dados/projeto_final_paloma_anne.ipynb diff --git a/dados/projeto_final_paloma_anne.ipynb b/dados/projeto_final_paloma_anne.ipynb deleted file mode 100644 index 49cfbfc..0000000 --- a/dados/projeto_final_paloma_anne.ipynb +++ /dev/null @@ -1,1657 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "provenance": [], - "authorship_tag": "ABX9TyOvSBnPVWpwBmHxLVn3qHbT", - "include_colab_link": true - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "view-in-github", - "colab_type": "text" - }, - "source": [ - "\"Open" - ] - }, - { - "cell_type": "markdown", - "source": [ - "**Projeto Final de Análise de Dados**\n", - "\n", - "Desenvolvido por:\n", - "\n", - "Paloma Avena palomaavena@gmail.com\n", - "\n", - "Anne Ribeiro anne.asribeiro@gmail.com\n", - "\n" - ], - "metadata": { - "id": "4nPdko9j_PEt" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Contexto**\n", - "Este projeto consiste na criação de um banco de dados e análise destes dados de desmatamento e CO2 do estado da Bahia nos últimos 5 anos." - ], - "metadata": { - "id": "WIMvI1tp_XVU" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Etapas do projeto:**\n", - "\n", - "\n", - "1. Selecionar a Base de Dados\n", - "2. Definir Objetivo e Perguntas\n", - "3. Realizar Análise Exploratória\n", - "4. Gerar Base Final\n", - "5. Criar Visualizações no Tableau\n", - "6. Preparar Apresentação Final\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], - "metadata": { - "id": "uk5GxJpZ_ouB" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Bases Escolhidas**\n", - "\n", - "Base 1: MapBiomas Alertas\n", - "https://plataforma.alerta.mapbiomas.org/downloads\n", - "\n", - "Base 2: Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)\n", - "https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA.." - ], - "metadata": { - "id": "vqYQ20MD_orK" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Objetivo Geral:**\n", - "\n", - "Criar um banco de dados e realizar uma análise dos dados com o objetivo de identificar variáveis de como o desmatamento na Bahia impacta nas taxas de emissão de CO2 ?" - ], - "metadata": { - "id": "ZypjoEDB_ooh" - } - }, - { - "cell_type": "markdown", - "source": [ - "**As perguntas norteadoras deste projeto são:**\n", - "\n", - "Como o desmatamento na Bahia impacta as taxas de emissão de CO₂ e qual sua relação com a temperatura dos oceanos?\n", - "\n", - "Qual a taxa de desmatamento nos biomas/municípios da Bahia e como ela evoluiu no período de 2019 a 2022?\n", - "\n", - "Qual a taxa de CO2 nos municípios da Bahia e como ela evoluiu no período de 2019 a 2022?\n", - "\n", - "Existe uma relação entre as áreas desmatadas e o aumento de CO2?\n", - "\n", - "Quais regiões da Bahia apresentam as maiores emissões de carbono derivadas do desmatamento?\n", - "\n", - "Houve alguma alteração no período da Pandemia?" - ], - "metadata": { - "id": "mrO_v4O1_olp" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Ferramentas Utilizadas:**\n", - "\n", - "Banco de dados\n", - "Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc.\n", - "Tableau: Para criar as visualizações finais e apresentar os insights gerados.\n", - "GitHub: Para versionamento do projeto e documentação.\n", - "Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem.\n", - "\n" - ], - "metadata": { - "id": "VV5GKSMc_oia" - } - }, - { - "cell_type": "markdown", - "source": [ - "Instalando o **Python**: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador.\n", - "\n", - "Instalando o **Visual Studio Code (VS Code)**: Acesse o site (https://code.visualstudio.com/).\n", - "\n", - "**Extensões** que irão tornar o processo de desenvolvimento mais simples e intuitivo:\n", - "\n", - "SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos SQLite (.db), executar consultas SQL, visualizar dados e até mesmo criar tabelas e colunas diretamente no VS Code.\n", - "\n", - "SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros.\n", - "\n", - "\n", - "**Bibliotecas e módulos:**\n", - "\n", - "sqlite3\n", - "csv\n", - "Pandas\n", - "Seaborn\n", - "Matplotlib\n" - ], - "metadata": { - "id": "n33nNlCqgZFC" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Lendo Dados de um Arquivo CSV e Inserindo no Banco**\n", - "\n", - "Vamos começar lendo dados de um arquivo CSV e inserindo-os em uma tabela do banco de dados SQLite." - ], - "metadata": { - "id": "Mli_IJAwjKhD" - } - }, - { - "cell_type": "code", - "source": [ - "# Criando a Tabela no SQLite\n", - "# Primeiro, vamos criar uma tabela no banco de dados SQLite onde os dados do CSV serão armazenados.\n", - "\n", - "import sqlite3\n", - "\n", - "# Conectando ao banco de dados SQLite (ou criando se não existir)\n", - "conn = sqlite3.connect('banco_projeto.db')\n", - "cursor = conn.cursor()\n", - "\n", - "# Criando a tabela\n", - "cursor.execute(\"\"\"\n", - "CREATE TABLE IF NOT EXISTS dados_projeto (\n", - " id INTEGER PRIMARY KEY AUTOINCREMENT,\n", - " municipio TEXT NOT NULL,\n", - " ano INTEGER NOT NULL,\n", - " co2_t INTEGER NOT NULL,\n", - " area_ha INTEGER NOT NULL,\n", - "\n", - ")\n", - "\"\"\")\n", - "\n", - "# Salvando as mudanças\n", - "conn.commit()" - ], - "metadata": { - "id": "Ji3LEpVgjUL5" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "\n", - "\n", - "> Adicionar aspas\n", - "\n", - "Talvez essa parte seja no final apos os dados trabalhados\n", - "\n", - "> Adicionar aspas\n", - "\n" - ], - "metadata": { - "id": "o_MB9HIap-ww" - } - }, - { - "cell_type": "code", - "source": [ - "# Agora, vamos ler o arquivo CSV e inserir os dados na tabela:\n", - "\n", - "import csv\n", - "import sqlite3\n", - "\n", - "# Conectando ao banco de dados\n", - "conn = sqlite3.connect('banco_projeto.db')\n", - "cursor = conn.cursor()\n", - "\n", - "# Abrindo o arquivo CSV , dados.csv o nome do arquivo\n", - "with open('dados.csv', 'r') as arquivo_csv: # with open('clientes.csv', newline='', encoding='utf-8') as csvfile:\n", - " leitor_csv = csv.reader(arquivo_csv) # leitor = csv.reader(csvfile)\n", - "\n", - " # Pulando o cabeçalho\n", - " next(leitor_csv) # next(leitor)\n", - "\n", - " # Inserindo cada linha do CSV na tabela\n", - " for linha in leitor_csv: # for linha in leitor:\n", - " cursor.execute(\"INSERT INTO dados_projeto (id, municipio, ano, co2_t, area_ha) VALUES (?, ?, ?, ?, ?)\", (linha[0], int(linha[1])) # cursor.execute(\"INSERT INTO clientes (nome, email) VALUES (?, ?)\", (linha[1], linha[2]))\n", - "\n", - " # Insere vários estudantes de uma vez\n", - " # cursor.executemany(\"INSERT INTO estudantes (nome, idade) VALUES (?, ?)\", estudantes)\n", - "\n", - " # consultar https://github.com/palomaavena/on35-python-s08-banco-de-dados-II/tree/main/exercicios/para-casa\n", - "\n", - "# Salvando as mudanças\n", - "conn.commit()\n", - "\n", - "# Fechando a conexão\n", - "cursor.close()\n", - "conn.close()" - ], - "metadata": { - "id": "Tpvq5zsEkIsj" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "\n", - "**Análise exploratória de dados**\n", - "\n" - ], - "metadata": { - "id": "miL-Xxpd_niS" - } - }, - { - "cell_type": "markdown", - "source": [ - "1. DADOS DE CO2 - SEEG\n" - ], - "metadata": { - "id": "c48LiFSG_Fft" - } - }, - { - "cell_type": "markdown", - "source": [ - "Coleta de dados CO2 Bahia, SEEG:\n", - "\n", - "\n", - "link: https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-bahia&_gl=1*gambxz*_ga*MTk5NTgxNjM5MS4xNzI1NjQzNTE1*_ga_XZWSWEJDWQ*MTcyNTY0MzUxNS4xLjAuMTcyNTY0MzUxNS4wLjAuMA..blob:https://plataforma.seeg.eco.br/845fd445-2d02-43a9-bb87-14435bfb6c1b\n", - "\n", - "\n", - "CO2: quantidade em tonelada" - ], - "metadata": { - "id": "vo84te4Y7n-P" - } - }, - { - "cell_type": "markdown", - "source": [ - "Importando os dados das planilhas" - ], - "metadata": { - "id": "rfcw5b-JebFU" - } - }, - { - "cell_type": "code", - "source": [ - "# Primeiro, instale a biblioteca pandas se ainda não estiver instalada\n", - "!pip install pandas\n", - "\n", - "# Importando os dados\n", - "import pandas as pd\n", - "import csv\n", - "\n", - "# Carregando os dois arquivos CSV\n", - "# Caso esteja rodando localmente, altere o caminho dos arquivos.\n", - "# No Colab, você pode fazer upload dos arquivos com os botões de upload e colocar somente o nome do arquivo abaixo\n", - "\n", - "df1 = pd.read_csv('SEEG.csv')\n", - "df2 = pd.read_csv('SEEG1.csv')\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "print(df1.head())\n", - "print(df2.head())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "dxaI-_ekeF9W", - "outputId": "1b116aa2-2e5b-48b5-b4f8-88b67865bacc" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.2.2)\n", - "Requirement already satisfied: numpy>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from pandas) (1.26.4)\n", - "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas) (2.8.2)\n", - "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", - "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", - "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n", - " Categoria 1990 1991 \\\n", - "0 Mudança de Uso da Terra e Floresta 7.034675e+07 7.178002e+07 \n", - "\n", - " 1992 1993 1994 1995 1996 \\\n", - "0 6.619761e+07 7.059627e+07 6.556189e+07 6.583727e+07 5.788894e+07 \n", - "\n", - " 1997 1998 ... 2013 2014 2015 \\\n", - "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", - "\n", - " 2016 2017 2018 2019 2020 \\\n", - "0 3.130805e+07 3.234297e+07 3.804942e+07 3.372027e+07 3.324519e+07 \n", - "\n", - " 2021 2022 \n", - "0 3.181527e+07 31412973 \n", - "\n", - "[1 rows x 34 columns]\n", - " Categoria 1990 1991 1992 \\\n", - "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", - "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", - "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", - "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", - "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", - "\n", - " 1993 1994 1995 1996 1997 \\\n", - "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", - "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", - "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", - "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", - "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", - "\n", - " 1998 ... 2013 2014 2015 2016 \\\n", - "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", - "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", - "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", - "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", - "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", - "\n", - " 2017 2018 2019 2020 2021 \\\n", - "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", - "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", - "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", - "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", - "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", - "\n", - " 2022 \n", - "0 2729422 \n", - "1 2432263 \n", - "2 1734316 \n", - "3 1473135 \n", - "4 996163 \n", - "\n", - "[5 rows x 34 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df1.info()\n", - "df2.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "248fsSuvOBAa", - "outputId": "b2e19c63-b1e4-4021-9bb5-585d1834b049" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 1 entries, 0 to 0\n", - "Data columns (total 34 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Categoria 1 non-null object \n", - " 1 1990 1 non-null float64\n", - " 2 1991 1 non-null float64\n", - " 3 1992 1 non-null float64\n", - " 4 1993 1 non-null float64\n", - " 5 1994 1 non-null float64\n", - " 6 1995 1 non-null float64\n", - " 7 1996 1 non-null float64\n", - " 8 1997 1 non-null float64\n", - " 9 1998 1 non-null float64\n", - " 10 1999 1 non-null float64\n", - " 11 2000 1 non-null float64\n", - " 12 2001 1 non-null float64\n", - " 13 2002 1 non-null float64\n", - " 14 2003 1 non-null float64\n", - " 15 2004 1 non-null float64\n", - " 16 2005 1 non-null float64\n", - " 17 2006 1 non-null float64\n", - " 18 2007 1 non-null float64\n", - " 19 2008 1 non-null float64\n", - " 20 2009 1 non-null float64\n", - " 21 2010 1 non-null float64\n", - " 22 2011 1 non-null float64\n", - " 23 2012 1 non-null float64\n", - " 24 2013 1 non-null float64\n", - " 25 2014 1 non-null float64\n", - " 26 2015 1 non-null float64\n", - " 27 2016 1 non-null float64\n", - " 28 2017 1 non-null float64\n", - " 29 2018 1 non-null float64\n", - " 30 2019 1 non-null float64\n", - " 31 2020 1 non-null float64\n", - " 32 2021 1 non-null float64\n", - " 33 2022 1 non-null int64 \n", - "dtypes: float64(32), int64(1), object(1)\n", - "memory usage: 400.0+ bytes\n", - "\n", - "RangeIndex: 31 entries, 0 to 30\n", - "Data columns (total 34 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Categoria 31 non-null object \n", - " 1 1990 31 non-null float64\n", - " 2 1991 31 non-null float64\n", - " 3 1992 31 non-null float64\n", - " 4 1993 31 non-null float64\n", - " 5 1994 31 non-null float64\n", - " 6 1995 31 non-null float64\n", - " 7 1996 31 non-null float64\n", - " 8 1997 31 non-null float64\n", - " 9 1998 31 non-null float64\n", - " 10 1999 31 non-null float64\n", - " 11 2000 31 non-null float64\n", - " 12 2001 31 non-null float64\n", - " 13 2002 31 non-null float64\n", - " 14 2003 31 non-null float64\n", - " 15 2004 31 non-null float64\n", - " 16 2005 31 non-null float64\n", - " 17 2006 31 non-null float64\n", - " 18 2007 31 non-null float64\n", - " 19 2008 31 non-null float64\n", - " 20 2009 31 non-null float64\n", - " 21 2010 31 non-null float64\n", - " 22 2011 31 non-null float64\n", - " 23 2012 31 non-null float64\n", - " 24 2013 31 non-null float64\n", - " 25 2014 31 non-null float64\n", - " 26 2015 31 non-null float64\n", - " 27 2016 31 non-null float64\n", - " 28 2017 31 non-null float64\n", - " 29 2018 31 non-null float64\n", - " 30 2019 31 non-null float64\n", - " 31 2020 31 non-null float64\n", - " 32 2021 31 non-null float64\n", - " 33 2022 31 non-null int64 \n", - "dtypes: float64(32), int64(1), object(1)\n", - "memory usage: 8.4+ KB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Converta todas as colunas de anos para string, por exemplo\n", - "\n", - "df1[['2019', '2020', '2021', '2022']] = df1[['2019', '2020', '2021', '2022']].astype(float)\n", - "df2[['2019', '2020', '2021', '2022']] = df2[['2019', '2020', '2021', '2022']].astype(float)\n", - "\n", - "# Converta a coluna Categoria também, se necessário\n", - "df1['Categoria'] = df1['Categoria'].astype(str)\n", - "df2['Categoria'] = df2['Categoria'].astype(str)\n", - "\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "print(df1.head())\n", - "print(df2.head())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "OqzNW3FoO7zC", - "outputId": "f2305ddf-2ecb-4ff4-ecc1-85c58ce44139" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria 1990 1991 \\\n", - "0 Mudança de Uso da Terra e Floresta 7.034675e+07 7.178002e+07 \n", - "\n", - " 1992 1993 1994 1995 1996 \\\n", - "0 6.619761e+07 7.059627e+07 6.556189e+07 6.583727e+07 5.788894e+07 \n", - "\n", - " 1997 1998 ... 2013 2014 2015 \\\n", - "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", - "\n", - " 2016 2017 2018 2019 2020 \\\n", - "0 3.130805e+07 3.234297e+07 3.804942e+07 3.372027e+07 3.324519e+07 \n", - "\n", - " 2021 2022 \n", - "0 3.181527e+07 31412973.0 \n", - "\n", - "[1 rows x 34 columns]\n", - " Categoria 1990 1991 1992 \\\n", - "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", - "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", - "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", - "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", - "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", - "\n", - " 1993 1994 1995 1996 1997 \\\n", - "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", - "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", - "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", - "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", - "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", - "\n", - " 1998 ... 2013 2014 2015 2016 \\\n", - "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", - "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", - "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", - "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", - "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", - "\n", - " 2017 2018 2019 2020 2021 \\\n", - "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", - "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", - "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", - "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", - "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", - "\n", - " 2022 \n", - "0 2729422.0 \n", - "1 2432263.0 \n", - "2 1734316.0 \n", - "3 1473135.0 \n", - "4 996163.0 \n", - "\n", - "[5 rows x 34 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remover espaços em branco no início e no fim dos valores das colunas de chave\n", - "\n", - "df1['Categoria'] = df1['Categoria'].str.strip()\n", - "df2['Categoria'] = df2['Categoria'].str.strip()\n", - "\n", - "\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "print(df1.head())\n", - "print(df2.head())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "5g1khb57PCoK", - "outputId": "14b66a07-2f56-4599-8f65-ee0e8557b8be" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria 1990 1991 \\\n", - "0 Mudança de Uso da Terra e Floresta 7.034675e+07 7.178002e+07 \n", - "\n", - " 1992 1993 1994 1995 1996 \\\n", - "0 6.619761e+07 7.059627e+07 6.556189e+07 6.583727e+07 5.788894e+07 \n", - "\n", - " 1997 1998 ... 2013 2014 2015 \\\n", - "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", - "\n", - " 2016 2017 2018 2019 2020 \\\n", - "0 3.130805e+07 3.234297e+07 3.804942e+07 3.372027e+07 3.324519e+07 \n", - "\n", - " 2021 2022 \n", - "0 3.181527e+07 31412973.0 \n", - "\n", - "[1 rows x 34 columns]\n", - " Categoria 1990 1991 1992 \\\n", - "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", - "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", - "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", - "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", - "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", - "\n", - " 1993 1994 1995 1996 1997 \\\n", - "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", - "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", - "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", - "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", - "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", - "\n", - " 1998 ... 2013 2014 2015 2016 \\\n", - "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", - "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", - "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", - "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", - "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", - "\n", - " 2017 2018 2019 2020 2021 \\\n", - "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", - "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", - "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", - "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", - "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", - "\n", - " 2022 \n", - "0 2729422.0 \n", - "1 2432263.0 \n", - "2 1734316.0 \n", - "3 1473135.0 \n", - "4 996163.0 \n", - "\n", - "[5 rows x 34 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "print(\"Valores únicos de Categoria no df1:\", df1['Categoria'].unique())\n", - "print(\"Valores únicos de Categoria no df2:\", df2['Categoria'].unique())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "ujuFqHrRPVJL", - "outputId": "d918341b-9b43-4db2-b7d4-5a2c4976ccaf" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Valores únicos de Categoria no df1: ['Mudança de Uso da Terra e Floresta']\n", - "Valores únicos de Categoria no df2: ['São Desidério (BA)' 'Formosa do Rio Preto (BA)' 'Jaborandi (BA)'\n", - " 'Correntina (BA)' 'Barreiras (BA)' 'Riachão das Neves (BA)'\n", - " 'Santa Rita de Cássia (BA)' 'Jequié (BA)' 'Encruzilhada (BA)'\n", - " 'Baianópolis (BA)' 'Valença (BA)' 'Cocos (BA)' 'Belmonte (BA)'\n", - " 'Luís Eduardo Magalhães (BA)' 'Barra (BA)' 'Cotegipe (BA)'\n", - " 'Ibirapitanga (BA)' 'Itagibá (BA)' 'Itapetinga (BA)' 'Iguaí (BA)'\n", - " 'Maraú (BA)' 'Ibicuí (BA)' 'Guaratinga (BA)' 'Nilo Peçanha (BA)'\n", - " 'Camamu (BA)' 'Itambé (BA)' 'Dário Meira (BA)' 'Igrapiúna (BA)'\n", - " 'Ilhéus (BA)' 'Itarantim (BA)' 'Outros']\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Fazendo a mesclagem com base em várias colunas\n", - "df_merged = pd.merge(df1, df2, on=['Categoria', '2019', '2020', '2021', '2022'], how='outer', suffixes=('.x', '.y'))\n", - "\n", - "\n", - "# Exibindo as primeiras linhas do arquivo mesclado\n", - "print(df_merged.head())\n", - "\n", - "# Salvando o arquivo final mesclado em um novo CSV\n", - "#df_merged.to_csv('co2_mesclado.csv', index=False)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "FfdOp23TLhdk", - "outputId": "6e83fb7e-ec27-45a6-f2e9-2b0f99acacc5" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria 1990.x 1991.x 1992.x 1993.x 1994.x 1995.x 1996.x \\\n", - "0 Baianópolis (BA) NaN NaN NaN NaN NaN NaN NaN \n", - "1 Barra (BA) NaN NaN NaN NaN NaN NaN NaN \n", - "2 Barreiras (BA) NaN NaN NaN NaN NaN NaN NaN \n", - "3 Belmonte (BA) NaN NaN NaN NaN NaN NaN NaN \n", - "4 Camamu (BA) NaN NaN NaN NaN NaN NaN NaN \n", - "\n", - " 1997.x 1998.x ... 2009.y 2010.y 2011.y \\\n", - "0 NaN NaN ... 201533.680923 198100.860538 6.037104e+05 \n", - "1 NaN NaN ... 293285.996844 190840.199123 2.542452e+05 \n", - "2 NaN NaN ... 782536.543400 499205.103294 1.123564e+06 \n", - "3 NaN NaN ... 305481.817527 362152.208117 3.601907e+05 \n", - "4 NaN NaN ... 233046.682173 244347.041716 1.454052e+05 \n", - "\n", - " 2012.y 2013.y 2014.y 2015.y 2016.y \\\n", - "0 6.769915e+05 6.462472e+05 6.534717e+05 4.394508e+05 297636.543553 \n", - "1 2.154561e+05 4.209665e+05 1.320592e+06 7.130062e+05 237763.732862 \n", - "2 2.600460e+06 2.095302e+06 8.441796e+05 1.058625e+06 861108.203390 \n", - "3 2.477949e+05 4.196629e+05 3.442798e+05 3.239090e+05 970812.041222 \n", - "4 2.455068e+05 2.883452e+05 2.205248e+05 1.565318e+05 182309.875579 \n", - "\n", - " 2017.y 2018.y \n", - "0 522833.621365 720253.263252 \n", - "1 373584.710467 381685.422644 \n", - "2 866501.596361 846568.187975 \n", - "3 811434.286499 302593.128041 \n", - "4 283636.498159 325602.310323 \n", - "\n", - "[5 rows x 63 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df_merged.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "9ZQt2hYePVUj", - "outputId": "990d868a-9b4a-4d9a-fb27-44bace3564c9" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 32 entries, 0 to 31\n", - "Data columns (total 63 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Categoria 32 non-null object \n", - " 1 1990.x 1 non-null float64\n", - " 2 1991.x 1 non-null float64\n", - " 3 1992.x 1 non-null float64\n", - " 4 1993.x 1 non-null float64\n", - " 5 1994.x 1 non-null float64\n", - " 6 1995.x 1 non-null float64\n", - " 7 1996.x 1 non-null float64\n", - " 8 1997.x 1 non-null float64\n", - " 9 1998.x 1 non-null float64\n", - " 10 1999.x 1 non-null float64\n", - " 11 2000.x 1 non-null float64\n", - " 12 2001.x 1 non-null float64\n", - " 13 2002.x 1 non-null float64\n", - " 14 2003.x 1 non-null float64\n", - " 15 2004.x 1 non-null float64\n", - " 16 2005.x 1 non-null float64\n", - " 17 2006.x 1 non-null float64\n", - " 18 2007.x 1 non-null float64\n", - " 19 2008.x 1 non-null float64\n", - " 20 2009.x 1 non-null float64\n", - " 21 2010.x 1 non-null float64\n", - " 22 2011.x 1 non-null float64\n", - " 23 2012.x 1 non-null float64\n", - " 24 2013.x 1 non-null float64\n", - " 25 2014.x 1 non-null float64\n", - " 26 2015.x 1 non-null float64\n", - " 27 2016.x 1 non-null float64\n", - " 28 2017.x 1 non-null float64\n", - " 29 2018.x 1 non-null float64\n", - " 30 2019 32 non-null float64\n", - " 31 2020 32 non-null float64\n", - " 32 2021 32 non-null float64\n", - " 33 2022 32 non-null float64\n", - " 34 1990.y 31 non-null float64\n", - " 35 1991.y 31 non-null float64\n", - " 36 1992.y 31 non-null float64\n", - " 37 1993.y 31 non-null float64\n", - " 38 1994.y 31 non-null float64\n", - " 39 1995.y 31 non-null float64\n", - " 40 1996.y 31 non-null float64\n", - " 41 1997.y 31 non-null float64\n", - " 42 1998.y 31 non-null float64\n", - " 43 1999.y 31 non-null float64\n", - " 44 2000.y 31 non-null float64\n", - " 45 2001.y 31 non-null float64\n", - " 46 2002.y 31 non-null float64\n", - " 47 2003.y 31 non-null float64\n", - " 48 2004.y 31 non-null float64\n", - " 49 2005.y 31 non-null float64\n", - " 50 2006.y 31 non-null float64\n", - " 51 2007.y 31 non-null float64\n", - " 52 2008.y 31 non-null float64\n", - " 53 2009.y 31 non-null float64\n", - " 54 2010.y 31 non-null float64\n", - " 55 2011.y 31 non-null float64\n", - " 56 2012.y 31 non-null float64\n", - " 57 2013.y 31 non-null float64\n", - " 58 2014.y 31 non-null float64\n", - " 59 2015.y 31 non-null float64\n", - " 60 2016.y 31 non-null float64\n", - " 61 2017.y 31 non-null float64\n", - " 62 2018.y 31 non-null float64\n", - "dtypes: float64(62), object(1)\n", - "memory usage: 15.9+ KB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Exibe os nomes das colunas\n", - "df_merged.columns" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "_nxnSeaIPvL4", - "outputId": "cf54b6a6-ecea-4cd3-e610-b93c041fcfa1" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "Index(['Categoria', '1990.x', '1991.x', '1992.x', '1993.x', '1994.x', '1995.x',\n", - " '1996.x', '1997.x', '1998.x', '1999.x', '2000.x', '2001.x', '2002.x',\n", - " '2003.x', '2004.x', '2005.x', '2006.x', '2007.x', '2008.x', '2009.x',\n", - " '2010.x', '2011.x', '2012.x', '2013.x', '2014.x', '2015.x', '2016.x',\n", - " '2017.x', '2018.x', '2019', '2020', '2021', '2022', '1990.y', '1991.y',\n", - " '1992.y', '1993.y', '1994.y', '1995.y', '1996.y', '1997.y', '1998.y',\n", - " '1999.y', '2000.y', '2001.y', '2002.y', '2003.y', '2004.y', '2005.y',\n", - " '2006.y', '2007.y', '2008.y', '2009.y', '2010.y', '2011.y', '2012.y',\n", - " '2013.y', '2014.y', '2015.y', '2016.y', '2017.y', '2018.y'],\n", - " dtype='object')" - ] - }, - "metadata": {}, - "execution_count": 40 - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Selecionar as colunas específicas\n", - "\n", - "df_reduzido = df_merged[['Categoria','2019', '2020', '2021', '2022']]\n", - "print(df_reduzido)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "C03aHBXA3taC", - "outputId": "8e02e184-77c0-49ef-f0b4-ca9f1cbdfb12" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria 2019 2020 \\\n", - "0 Baianópolis (BA) 6.074368e+05 7.908150e+05 \n", - "1 Barra (BA) 2.260111e+05 1.397781e+05 \n", - "2 Barreiras (BA) 1.568927e+06 1.179766e+06 \n", - "3 Belmonte (BA) 3.904032e+05 3.505588e+05 \n", - "4 Camamu (BA) 2.214714e+05 4.347414e+05 \n", - "5 Cocos (BA) 9.593941e+05 1.218387e+06 \n", - "6 Correntina (BA) 1.545573e+06 1.060526e+06 \n", - "7 Cotegipe (BA) 3.311638e+05 5.599601e+05 \n", - "8 Dário Meira (BA) 9.440196e+04 9.250477e+04 \n", - "9 Encruzilhada (BA) 4.038959e+05 4.516205e+05 \n", - "10 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 \n", - "11 Guaratinga (BA) 2.117080e+05 2.516566e+05 \n", - "12 Ibicuí (BA) 1.696392e+04 3.524000e+04 \n", - "13 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 \n", - "14 Igrapiúna (BA) 2.576941e+05 3.782366e+05 \n", - "15 Iguaí (BA) 8.222719e+04 1.274713e+05 \n", - "16 Ilhéus (BA) 1.588721e+05 1.912059e+05 \n", - "17 Itagibá (BA) 1.216756e+05 7.210208e+04 \n", - "18 Itambé (BA) 1.001077e+05 1.444300e+05 \n", - "19 Itapetinga (BA) 5.707418e+04 4.613513e+04 \n", - "20 Itarantim (BA) 3.847215e+04 6.031930e+04 \n", - "21 Jaborandi (BA) 1.706968e+06 1.744004e+06 \n", - "22 Jequié (BA) 2.491692e+05 1.862657e+05 \n", - "23 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 \n", - "24 Maraú (BA) 8.020749e+04 1.701269e+05 \n", - "25 Mudança de Uso da Terra e Floresta 3.372027e+07 3.324519e+07 \n", - "26 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 \n", - "27 Outros 1.554645e+07 1.304776e+07 \n", - "28 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 \n", - "29 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 \n", - "30 São Desidério (BA) 2.024108e+06 3.091203e+06 \n", - "31 Valença (BA) 2.476738e+05 4.276377e+05 \n", - "\n", - " 2021 2022 \n", - "0 1.700892e+06 413632.0 \n", - "1 7.905882e+04 312169.0 \n", - "2 9.583063e+05 996163.0 \n", - "3 3.314850e+05 354868.0 \n", - "4 1.635482e+05 232571.0 \n", - "5 1.229645e+06 367625.0 \n", - "6 1.585476e+06 1473135.0 \n", - "7 2.925473e+05 297663.0 \n", - "8 1.017979e+05 217077.0 \n", - "9 5.873154e+05 414662.0 \n", - "10 2.299738e+06 2432263.0 \n", - "11 1.717426e+05 243882.0 \n", - "12 2.780070e+04 245755.0 \n", - "13 7.243660e+04 292758.0 \n", - "14 1.486217e+05 210971.0 \n", - "15 1.559627e+05 277970.0 \n", - "16 1.317151e+05 209209.0 \n", - "17 1.114533e+05 288483.0 \n", - "18 6.526349e+04 227632.0 \n", - "19 2.072777e+04 285382.0 \n", - "20 1.040533e+04 203154.0 \n", - "21 2.051921e+06 1734316.0 \n", - "22 1.639264e+05 498001.0 \n", - "23 6.542620e+05 343098.0 \n", - "24 1.032113e+05 275953.0 \n", - "25 3.181527e+07 31412973.0 \n", - "26 5.956842e+04 238334.0 \n", - "27 1.342087e+07 13978140.0 \n", - "28 7.619633e+05 670183.0 \n", - "29 9.987006e+05 569631.0 \n", - "30 3.159580e+06 2729422.0 \n", - "31 1.953325e+05 378871.0 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Altera os nomes das colunas\n", - "\n", - "df_reduzido.columns = ['Municípios', '2019', '2020', '2021', '2022']\n", - "print(df_reduzido)" - ], - "metadata": { - "id": "hJwmd2gz47IT", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "8d115c57-993c-4534-b012-3d6e641176dc" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 \\\n", - "0 Baianópolis (BA) 6.074368e+05 7.908150e+05 \n", - "1 Barra (BA) 2.260111e+05 1.397781e+05 \n", - "2 Barreiras (BA) 1.568927e+06 1.179766e+06 \n", - "3 Belmonte (BA) 3.904032e+05 3.505588e+05 \n", - "4 Camamu (BA) 2.214714e+05 4.347414e+05 \n", - "5 Cocos (BA) 9.593941e+05 1.218387e+06 \n", - "6 Correntina (BA) 1.545573e+06 1.060526e+06 \n", - "7 Cotegipe (BA) 3.311638e+05 5.599601e+05 \n", - "8 Dário Meira (BA) 9.440196e+04 9.250477e+04 \n", - "9 Encruzilhada (BA) 4.038959e+05 4.516205e+05 \n", - "10 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 \n", - "11 Guaratinga (BA) 2.117080e+05 2.516566e+05 \n", - "12 Ibicuí (BA) 1.696392e+04 3.524000e+04 \n", - "13 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 \n", - "14 Igrapiúna (BA) 2.576941e+05 3.782366e+05 \n", - "15 Iguaí (BA) 8.222719e+04 1.274713e+05 \n", - "16 Ilhéus (BA) 1.588721e+05 1.912059e+05 \n", - "17 Itagibá (BA) 1.216756e+05 7.210208e+04 \n", - "18 Itambé (BA) 1.001077e+05 1.444300e+05 \n", - "19 Itapetinga (BA) 5.707418e+04 4.613513e+04 \n", - "20 Itarantim (BA) 3.847215e+04 6.031930e+04 \n", - "21 Jaborandi (BA) 1.706968e+06 1.744004e+06 \n", - "22 Jequié (BA) 2.491692e+05 1.862657e+05 \n", - "23 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 \n", - "24 Maraú (BA) 8.020749e+04 1.701269e+05 \n", - "25 Mudança de Uso da Terra e Floresta 3.372027e+07 3.324519e+07 \n", - "26 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 \n", - "27 Outros 1.554645e+07 1.304776e+07 \n", - "28 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 \n", - "29 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 \n", - "30 São Desidério (BA) 2.024108e+06 3.091203e+06 \n", - "31 Valença (BA) 2.476738e+05 4.276377e+05 \n", - "\n", - " 2021 2022 \n", - "0 1.700892e+06 413632.0 \n", - "1 7.905882e+04 312169.0 \n", - "2 9.583063e+05 996163.0 \n", - "3 3.314850e+05 354868.0 \n", - "4 1.635482e+05 232571.0 \n", - "5 1.229645e+06 367625.0 \n", - "6 1.585476e+06 1473135.0 \n", - "7 2.925473e+05 297663.0 \n", - "8 1.017979e+05 217077.0 \n", - "9 5.873154e+05 414662.0 \n", - "10 2.299738e+06 2432263.0 \n", - "11 1.717426e+05 243882.0 \n", - "12 2.780070e+04 245755.0 \n", - "13 7.243660e+04 292758.0 \n", - "14 1.486217e+05 210971.0 \n", - "15 1.559627e+05 277970.0 \n", - "16 1.317151e+05 209209.0 \n", - "17 1.114533e+05 288483.0 \n", - "18 6.526349e+04 227632.0 \n", - "19 2.072777e+04 285382.0 \n", - "20 1.040533e+04 203154.0 \n", - "21 2.051921e+06 1734316.0 \n", - "22 1.639264e+05 498001.0 \n", - "23 6.542620e+05 343098.0 \n", - "24 1.032113e+05 275953.0 \n", - "25 3.181527e+07 31412973.0 \n", - "26 5.956842e+04 238334.0 \n", - "27 1.342087e+07 13978140.0 \n", - "28 7.619633e+05 670183.0 \n", - "29 9.987006e+05 569631.0 \n", - "30 3.159580e+06 2729422.0 \n", - "31 1.953325e+05 378871.0 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Verifica valores nulos\n", - "\n", - "nulos = df_reduzido.isnull()\n", - "print(nulos)\n", - "\n", - "# Contagem de valores nulos em cada coluna\n", - "\n", - "nulos_por_coluna = df_reduzido.isnull().sum()\n", - "print(nulos_por_coluna)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "4XDFa2Ol6Fgg", - "outputId": "0a75c668-4ddd-4801-b6ed-d4bc6a90b8a3" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 2021 2022\n", - "0 False False False False False\n", - "1 False False False False False\n", - "2 False False False False False\n", - "3 False False False False False\n", - "4 False False False False False\n", - "5 False False False False False\n", - "6 False False False False False\n", - "7 False False False False False\n", - "8 False False False False False\n", - "9 False False False False False\n", - "10 False False False False False\n", - "11 False False False False False\n", - "12 False False False False False\n", - "13 False False False False False\n", - "14 False False False False False\n", - "15 False False False False False\n", - "16 False False False False False\n", - "17 False False False False False\n", - "18 False False False False False\n", - "19 False False False False False\n", - "20 False False False False False\n", - "21 False False False False False\n", - "22 False False False False False\n", - "23 False False False False False\n", - "24 False False False False False\n", - "25 False False False False False\n", - "26 False False False False False\n", - "27 False False False False False\n", - "28 False False False False False\n", - "29 False False False False False\n", - "30 False False False False False\n", - "31 False False False False False\n", - "Municípios 0\n", - "2019 0\n", - "2020 0\n", - "2021 0\n", - "2022 0\n", - "dtype: int64\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remove linhas duplicadas\n", - "\n", - "df_sem_duplicatas = df_reduzido.drop_duplicates()\n", - "print(df_sem_duplicatas)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "RdfDmG8I6UuT", - "outputId": "91cf09cc-13a8-4003-efc3-97a46b7c771e" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 \\\n", - "0 Baianópolis (BA) 6.074368e+05 7.908150e+05 \n", - "1 Barra (BA) 2.260111e+05 1.397781e+05 \n", - "2 Barreiras (BA) 1.568927e+06 1.179766e+06 \n", - "3 Belmonte (BA) 3.904032e+05 3.505588e+05 \n", - "4 Camamu (BA) 2.214714e+05 4.347414e+05 \n", - "5 Cocos (BA) 9.593941e+05 1.218387e+06 \n", - "6 Correntina (BA) 1.545573e+06 1.060526e+06 \n", - "7 Cotegipe (BA) 3.311638e+05 5.599601e+05 \n", - "8 Dário Meira (BA) 9.440196e+04 9.250477e+04 \n", - "9 Encruzilhada (BA) 4.038959e+05 4.516205e+05 \n", - "10 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 \n", - "11 Guaratinga (BA) 2.117080e+05 2.516566e+05 \n", - "12 Ibicuí (BA) 1.696392e+04 3.524000e+04 \n", - "13 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 \n", - "14 Igrapiúna (BA) 2.576941e+05 3.782366e+05 \n", - "15 Iguaí (BA) 8.222719e+04 1.274713e+05 \n", - "16 Ilhéus (BA) 1.588721e+05 1.912059e+05 \n", - "17 Itagibá (BA) 1.216756e+05 7.210208e+04 \n", - "18 Itambé (BA) 1.001077e+05 1.444300e+05 \n", - "19 Itapetinga (BA) 5.707418e+04 4.613513e+04 \n", - "20 Itarantim (BA) 3.847215e+04 6.031930e+04 \n", - "21 Jaborandi (BA) 1.706968e+06 1.744004e+06 \n", - "22 Jequié (BA) 2.491692e+05 1.862657e+05 \n", - "23 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 \n", - "24 Maraú (BA) 8.020749e+04 1.701269e+05 \n", - "25 Mudança de Uso da Terra e Floresta 3.372027e+07 3.324519e+07 \n", - "26 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 \n", - "27 Outros 1.554645e+07 1.304776e+07 \n", - "28 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 \n", - "29 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 \n", - "30 São Desidério (BA) 2.024108e+06 3.091203e+06 \n", - "31 Valença (BA) 2.476738e+05 4.276377e+05 \n", - "\n", - " 2021 2022 \n", - "0 1.700892e+06 413632.0 \n", - "1 7.905882e+04 312169.0 \n", - "2 9.583063e+05 996163.0 \n", - "3 3.314850e+05 354868.0 \n", - "4 1.635482e+05 232571.0 \n", - "5 1.229645e+06 367625.0 \n", - "6 1.585476e+06 1473135.0 \n", - "7 2.925473e+05 297663.0 \n", - "8 1.017979e+05 217077.0 \n", - "9 5.873154e+05 414662.0 \n", - "10 2.299738e+06 2432263.0 \n", - "11 1.717426e+05 243882.0 \n", - "12 2.780070e+04 245755.0 \n", - "13 7.243660e+04 292758.0 \n", - "14 1.486217e+05 210971.0 \n", - "15 1.559627e+05 277970.0 \n", - "16 1.317151e+05 209209.0 \n", - "17 1.114533e+05 288483.0 \n", - "18 6.526349e+04 227632.0 \n", - "19 2.072777e+04 285382.0 \n", - "20 1.040533e+04 203154.0 \n", - "21 2.051921e+06 1734316.0 \n", - "22 1.639264e+05 498001.0 \n", - "23 6.542620e+05 343098.0 \n", - "24 1.032113e+05 275953.0 \n", - "25 3.181527e+07 31412973.0 \n", - "26 5.956842e+04 238334.0 \n", - "27 1.342087e+07 13978140.0 \n", - "28 7.619633e+05 670183.0 \n", - "29 9.987006e+05 569631.0 \n", - "30 3.159580e+06 2729422.0 \n", - "31 1.953325e+05 378871.0 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df_sem_duplicatas = pd.melt(df_sem_duplicatas, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido')\n", - "\n", - "print(df_sem_duplicatas)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "y-O4AWyvWiKo", - "outputId": "ebfcf814-8fc9-45b8-bba9-205e2449657d" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios Ano CO2_emitido\n", - "0 Baianópolis (BA) 2019 6.074368e+05\n", - "1 Barra (BA) 2019 2.260111e+05\n", - "2 Barreiras (BA) 2019 1.568927e+06\n", - "3 Belmonte (BA) 2019 3.904032e+05\n", - "4 Camamu (BA) 2019 2.214714e+05\n", - ".. ... ... ...\n", - "123 Outros 2022 1.397814e+07\n", - "124 Riachão das Neves (BA) 2022 6.701830e+05\n", - "125 Santa Rita de Cássia (BA) 2022 5.696310e+05\n", - "126 São Desidério (BA) 2022 2.729422e+06\n", - "127 Valença (BA) 2022 3.788710e+05\n", - "\n", - "[128 rows x 3 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Salvando o arquivo final mesclado em um novo CSV\n", - "\n", - "df_sem_duplicatas.to_csv('co2.csv', index=False, encoding='utf-8')\n", - "\n", - "print(df_sem_duplicatas)\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "rAUV5SOqQPex", - "outputId": "798b2bd5-95a9-4d9a-b01a-b13d8202eeb1" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios Ano CO2_emitido\n", - "0 Baianópolis (BA) 2019 6.074368e+05\n", - "1 Barra (BA) 2019 2.260111e+05\n", - "2 Barreiras (BA) 2019 1.568927e+06\n", - "3 Belmonte (BA) 2019 3.904032e+05\n", - "4 Camamu (BA) 2019 2.214714e+05\n", - ".. ... ... ...\n", - "123 Outros 2022 1.397814e+07\n", - "124 Riachão das Neves (BA) 2022 6.701830e+05\n", - "125 Santa Rita de Cássia (BA) 2022 5.696310e+05\n", - "126 São Desidério (BA) 2022 2.729422e+06\n", - "127 Valença (BA) 2022 3.788710e+05\n", - "\n", - "[128 rows x 3 columns]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**2. DADOS DESMATAMENTO - MAPBIOMAS**" - ], - "metadata": { - "id": "4b3RXVJPee-P" - } - }, - { - "cell_type": "code", - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt" - ], - "metadata": { - "id": "GGWC3zlhehXu" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# importando dados\n", - "\n", - "df3 = pd.read_csv('mapbiomas_ba.csv')\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "\n", - "print(df3.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "dOTnbHapgsxF", - "outputId": "54e20fc2-b210-4d27-f225-37dcf2427f4a" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " CODEALERTA FONTE BIOMA ESTADO MUNICIPIO AREAHA \\\n", - "0 1226926 {SAD-CAATINGA} Caatinga BAHIA Iaçu 2.96 \n", - "1 1226922 {SAD-CAATINGA} Caatinga BAHIA Miguel Calmon 1.69 \n", - "2 1227303 {SAD-CAATINGA} Caatinga BAHIA Buritirama 2.05 \n", - "3 1227296 {SAD-CAATINGA} Caatinga BAHIA Piatã 0.69 \n", - "4 1227291 {SAD-CAATINGA} Caatinga BAHIA Cotegipe 23.97 \n", - "\n", - " ANODETEC DATADETEC DTIMGANT DTIMGDEP DTPUBLI VPRESSAO \n", - "0 2024.0 2024/01/01 2023/01/26 2024/02/14 2024/04/30 agriculture \n", - "1 2024.0 2024/01/01 2023/06/30 2024/01/31 2024/04/30 agriculture \n", - "2 2024.0 2024/01/01 2023/03/17 2023/10/10 2024/04/30 agriculture \n", - "3 2024.0 2024/01/01 2023/04/27 2023/06/17 2024/04/30 agriculture \n", - "4 2024.0 2024/01/01 2023/08/12 2023/10/17 2024/04/30 agriculture \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df3.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "TUEysu1IQn2V", - "outputId": "fb2776d2-5a4e-44c9-afc9-48f959320c75" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 12 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 CODEALERTA 28397 non-null int64 \n", - " 1 FONTE 28397 non-null object \n", - " 2 BIOMA 28397 non-null object \n", - " 3 ESTADO 28397 non-null object \n", - " 4 MUNICIPIO 28397 non-null object \n", - " 5 AREAHA 28397 non-null float64\n", - " 6 ANODETEC 28397 non-null float64\n", - " 7 DATADETEC 28397 non-null object \n", - " 8 DTIMGANT 28397 non-null object \n", - " 9 DTIMGDEP 28397 non-null object \n", - " 10 DTPUBLI 28397 non-null object \n", - " 11 VPRESSAO 28397 non-null object \n", - "dtypes: float64(2), int64(1), object(9)\n", - "memory usage: 2.6+ MB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Converta todas as colunas de anos para int, por exemplo\n", - "\n", - "df3[['ANODETEC']] = df3[['ANODETEC']].astype(int)\n", - "\n", - "df3.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "_0gvkwXlQnbU", - "outputId": "8d13d449-83e4-4cbe-f737-ff3273f6c31e" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 12 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 CODEALERTA 28397 non-null int64 \n", - " 1 FONTE 28397 non-null object \n", - " 2 BIOMA 28397 non-null object \n", - " 3 ESTADO 28397 non-null object \n", - " 4 MUNICIPIO 28397 non-null object \n", - " 5 AREAHA 28397 non-null float64\n", - " 6 ANODETEC 28397 non-null int64 \n", - " 7 DATADETEC 28397 non-null object \n", - " 8 DTIMGANT 28397 non-null object \n", - " 9 DTIMGDEP 28397 non-null object \n", - " 10 DTPUBLI 28397 non-null object \n", - " 11 VPRESSAO 28397 non-null object \n", - "dtypes: float64(1), int64(2), object(9)\n", - "memory usage: 2.6+ MB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remover múltiplas colunas de uma vez, temos que deixar municipio, area ha (pra calcular o desmatamento, data tec e ano)\n", - "\n", - "colunas_para_remover = ['CODEALERTA', 'FONTE', 'ESTADO', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'VPRESSAO']\n", - "\n", - "df3_limpo = df3.drop(columns=colunas_para_remover)\n", - "\n", - "print(df3_limpo.head())" - ], - "metadata": { - "id": "UHR6fDjZfFf9", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "35550a0b-892a-463f-935e-b122c730c18e" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA MUNICIPIO AREAHA ANODETEC DATADETEC\n", - "0 Caatinga Iaçu 2.96 2024 2024/01/01\n", - "1 Caatinga Miguel Calmon 1.69 2024 2024/01/01\n", - "2 Caatinga Buritirama 2.05 2024 2024/01/01\n", - "3 Caatinga Piatã 0.69 2024 2024/01/01\n", - "4 Caatinga Cotegipe 23.97 2024 2024/01/01\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "print(df3_limpo.info())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "WBdJUsJ9f3Yi", - "outputId": "273a420e-c4da-44b4-fc3b-9548f8b6850f" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 BIOMA 28397 non-null object \n", - " 1 MUNICIPIO 28397 non-null object \n", - " 2 AREAHA 28397 non-null float64\n", - " 3 ANODETEC 28397 non-null int64 \n", - " 4 DATADETEC 28397 non-null object \n", - "dtypes: float64(1), int64(1), object(3)\n", - "memory usage: 1.1+ MB\n", - "None\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Verificar se tem valores faltantes\n", - "\n", - "print(df3_limpo.isnull().sum())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Jeufw3Gvf6gj", - "outputId": "daaaf05e-b322-4229-b29f-95a91ddf3bd2" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BIOMA 0\n", - "MUNICIPIO 0\n", - "AREAHA 0\n", - "ANODETEC 0\n", - "DATADETEC 0\n", - "dtype: int64\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df3_MUN = df3_limpo.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df3_MUN.head())\n", - "\n", - "df3_ANO = df3_limpo.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df3_ANO.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "4LvRvq8pSL8G", - "outputId": "4103c8eb-0c72-4e69-ed0d-28ed38d783e0" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " MUNICIPIO AREAHA\n", - "0 Abaré 22.43\n", - "1 Abaíra 69.20\n", - "2 Acajutiba 127.70\n", - "3 Adustina 482.47\n", - "4 Aiquara 175.27\n", - " ANODETEC AREAHA\n", - "0 2019 64554.41\n", - "1 2020 113073.16\n", - "2 2021 154250.73\n", - "3 2022 227779.90\n", - "4 2023 290593.00\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Salvando o arquivo final em um novo CSV\n", - "\n", - "df3_limpo.to_csv('desmatamento.csv', index=False)\n", - "\n", - "print(df3_limpo)" - ], - "metadata": { - "id": "Dmt95mSDi-XN", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "31168c05-9234-4240-e93f-844adedf2962" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA MUNICIPIO AREAHA ANODETEC DATADETEC\n", - "0 Caatinga Iaçu 2.96 2024 2024/01/01\n", - "1 Caatinga Miguel Calmon 1.69 2024 2024/01/01\n", - "2 Caatinga Buritirama 2.05 2024 2024/01/01\n", - "3 Caatinga Piatã 0.69 2024 2024/01/01\n", - "4 Caatinga Cotegipe 23.97 2024 2024/01/01\n", - "... ... ... ... ... ...\n", - "28392 Caatinga Guajeru 1.47 2024 2024/01/01\n", - "28393 Caatinga Filadélfia 1.56 2024 2024/01/01\n", - "28394 Caatinga Itaberaba 54.26 2024 2024/01/01\n", - "28395 Caatinga Barra da Estiva 7.11 2024 2024/01/01\n", - "28396 Caatinga Várzea da Roça 2.37 2024 2024/01/01\n", - "\n", - "[28397 rows x 5 columns]\n" - ] - } - ] - } - ] -} From f360d35817e206eea2a5e0cfb5c5b660ec135887 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 12:07:05 -0300 Subject: [PATCH 47/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 106 +++++++++++++++++++++--------- 1 file changed, 76 insertions(+), 30 deletions(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index bb538cd..a8743b3 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -1,34 +1,32 @@ # Projeto Final de Análise de Dados +Desenvolvido por: + Paloma Avena palomaavena@gmail.com -Anne +Anne Ribeiro anne.asribeiro@gmail.com ## Contexto -Este projeto consiste na criação de um banco de dados climáticos da Bahia e análise de dados de desmatamento, CO2 e temperatura da água do mar do estado da Bahia nos últimos 5 anos. + +Este projeto consiste na criação de um banco de dados e análise destes dados de desmatamento e CO2 do estado da Bahia nos últimos 5 anos. ## Etapas do projeto: -1. **Selecionar a Base de Dados** [Escolher e explorar a base de dados relevante ao tema.] -2. **Definir Objetivo e Perguntas** [Estabelecer o objetivo e formular perguntas-chave com base nas variáveis disponíveis.] -3. **Realizar Análise Exploratória** [Identificar correlações, padrões e outliers nos dados.] -4. **Gerar Base Final** [Limpar e estruturar os dados para a visualização.] -5. **Criar Visualizações no Tableau** [Desenvolver gráficos que sintetizem os principais insights.] -6. **Preparar Apresentação Final** [Apresentar o tema, dados e visualizações de forma clara e objetiva.] +1. Selecionar a Base de Dados +2. Definir Objetivo e Perguntas +3. Realizar Análise Exploratória +4. Gerar Base Final +5. Criar Visualizações no Tableau +6. Apresentação Final --- ## Bases Escolhidas + - **Base 1**: [MapBiomas Alertas](https://plataforma.alerta.mapbiomas.org/downloads) ![image](https://github.com/user-attachments/assets/c88130d7-548c-4b12-9af6-8c31a6f222d7) -- **Base 2**: [GOOS Bóias Pirata](http://www.goosbrasil.org/pirata/dados/) - -![image](https://github.com/user-attachments/assets/a700f335-0d5f-4609-802f-6a41423d983c) - -![image](https://github.com/user-attachments/assets/7fbe99ae-cc0b-4c34-8d6c-09317daf9f32) - -- **Base 3**: [Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)](https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA..) +- **Base 2**: [Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)](https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA..) ![image](https://github.com/user-attachments/assets/485e7e6c-9ebf-418c-8e25-d570c54780e1) @@ -36,24 +34,16 @@ Este projeto consiste na criação de um banco de dados climáticos da Bahia e a --- ### Objetivo Geral: -Criar um banco de dados e realizar uma análise dos dados com o objetivo de identificar variáveis que influenciam o aumento da temperatura do Mar e CO2 na atmosfera com o aumento do desmatamento. -Como o desmatamento na Bahia impacta nas taxas de emissão de CO2 e sua relação com a temperatura da água do Mar? +Criar um banco de dados e realizar uma análise dos dados com o objetivo de identificar variáveis de como o desmatamento na Bahia impacta nas taxas de emissão de CO2. ### As perguntas norteadoras deste projeto são: -1. **[Pergunta sobre o perfil dos dados]** - Quais são as principais características da base de dados selecionada? -2. **[Pergunta comparativa]** - Municípios com maiores dados -3. **[Pergunta relacional]** - Existe correlação entre os três dados e a pandemia -4. **[Pergunta exploratória]** - Quais insights podem ser extraídos a partir dos padrões identificados nos dados? - -Como o desmatamento na Bahia impacta as taxas de emissão de CO₂ e qual sua relação com a temperatura dos oceanos? - -Qual a taxa de desmatamento nos biomas/municípios da Bahia e como ela evoluiu no período de 2019 a 2022? - -Existe uma relação entre as áreas desmatadas e o aumento da temperatura da água do mar nas regiões costeiras afetadas? - -Quais regiões da Bahia apresentam as maiores emissões de carbono derivadas do desmatamento e como isso se reflete nas mudanças de temperatura do oceano? +1. Qual a taxa de desmatamento nos biomas/municípios da Bahia e como ela evoluiu no período de 2019 a 2022? +2. Qual a taxa de CO2 nos municípios da Bahia e como ela evoluiu no período de 2019 a 2022? +3. Como o desmatamento na Bahia impacta as taxas de emissão de CO₂? Existe uma relação entre as áreas desmatadas e o aumento de CO2? +4. Quais regiões da Bahia apresentam as maiores emissões de carbono derivadas do desmatamento? +5. Houve alguma alteração no período da Pandemia? --- ## Ferramentas Utilizadas @@ -61,4 +51,60 @@ Quais regiões da Bahia apresentam as maiores emissões de carbono derivadas do - **Python (Jupyter Notebook)**: Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc. - **Tableau**: Para criar as visualizações finais e apresentar os insights gerados. - **GitHub**: Para versionamento do projeto e documentação. -- **Google Colab** (opcional): Para execução de notebooks de forma colaborativa e em nuvem. +- **Google Colab**: Para execução de notebooks de forma colaborativa e em nuvem. + +--- + +### Instalações + +Instalando o Python: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador. + +Instalando o Visual Studio Code (VS Code): Acesse o site (https://code.visualstudio.com/). + +Extensões que irão tornar o processo de desenvolvimento mais simples e intuitivo: + +SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos SQLite (.db), executar consultas SQL, visualizar dados e até mesmo criar tabelas e colunas diretamente no VS Code. + +SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros. + +Bibliotecas e módulos: + +sqlite3 csv Pandas Seaborn Matplotlib + +--- + +## Análise exploratória de dados + +### 1. DADOS DE CO2 - SEEG + +Vamos utilizar a coluna categoria (municipio e total de co2 emitido por tipo de emissão, no caso Mudança de Uso da Terra e Floresta e os anos de 2019 a 2022. + +Coleta de dados CO2 Bahia, SEEG: + +link: https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-bahia&_gl=1*gambxz*_ga*MTk5NTgxNjM5MS4xNzI1NjQzNTE1*_ga_XZWSWEJDWQ*MTcyNTY0MzUxNS4xLjAuMTcyNTY0MzUxNS4wLjAuMA..blob:https://plataforma.seeg.eco.br/845fd445-2d02-43a9-bb87-14435bfb6c1b + +CO2: quantidade em tonelada + +--- + +```python + +# Primeiro, instale a biblioteca pandas se ainda não estiver instalada +!pip install pandas + +# Importando os dados +import pandas as pd +import csv + +# Carregando os dois arquivos CSV +# Caso esteja rodando localmente, altere o caminho dos arquivos. +# No Colab, você pode fazer upload dos arquivos com os botões de upload e colocar somente o nome do arquivo abaixo + +df1 = pd.read_csv('SEEG.csv') +df2 = pd.read_csv('SEEG1.csv') + +# Exibindo as primeiras linhas dos DataFrames para verificar +print(df1.head()) +print(df2.head()) + +``` From 6eb965c92e6535c6876167edc7d12f0fd6ec96ab Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 19:21:14 -0300 Subject: [PATCH 48/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 249 ++++++++++++++++++++++++++++++ 1 file changed, 249 insertions(+) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index a8743b3..20a8f7e 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -108,3 +108,252 @@ print(df1.head()) print(df2.head()) ``` + + +```python + +df1.info() +df2.info() + + +``` + + +```python + +# Converta todas as colunas de anos para string, por exemplo + +df1[['2019', '2020', '2021', '2022']] = df1[['2019', '2020', '2021', '2022']].astype(float) +df2[['2019', '2020', '2021', '2022']] = df2[['2019', '2020', '2021', '2022']].astype(float) + +# Converta a coluna Categoria também, se necessário +df1['Categoria'] = df1['Categoria'].astype(str) +df2['Categoria'] = df2['Categoria'].astype(str) + + +# Exibindo as primeiras linhas dos DataFrames para verificar +print(df1.head()) +print(df2.head()) + + +``` + + +```python + +# Remover espaços em branco no início e no fim dos valores das colunas de chave + +df1['Categoria'] = df1['Categoria'].str.strip() +df2['Categoria'] = df2['Categoria'].str.strip() + + + +# Exibindo as primeiras linhas dos DataFrames para verificar +print(df1.head()) +print(df2.head()) + +``` + + +```python + +print("Valores únicos de Categoria no df1:", df1['Categoria'].unique()) +print("Valores únicos de Categoria no df2:", df2['Categoria'].unique()) + +``` + + +```python + +# Fazendo a mesclagem com base em várias colunas +df_merged = pd.merge(df1, df2, on=['Categoria', '2019', '2020', '2021', '2022'], how='outer', suffixes=('.x', '.y')) + + +# Exibindo as primeiras linhas do arquivo mesclado +print(df_merged.head()) + + +``` + + +```python + +df_merged.info() + +``` + +```python + +# Exibe os nomes das colunas +df_merged.columns + +``` + + +```python + +# Selecionar as colunas específicas + +df_reduzido = df_merged[['Categoria','2019', '2020', '2021', '2022']] +print(df_reduzido) + +``` + + + +```python + +# Altera os nomes das colunas + +df_reduzido.columns = ['Municípios', '2019', '2020', '2021', '2022'] +print(df_reduzido) + +``` + + +```python + +# Verifica valores nulos + +nulos = df_reduzido.isnull() +print(nulos) + +# Contagem de valores nulos em cada coluna + +nulos_por_coluna = df_reduzido.isnull().sum() +print(nulos_por_coluna) + +``` + + +```python + +# Remove linhas duplicadas + +df_sem_duplicatas = df_reduzido.drop_duplicates() +print(df_sem_duplicatas) + +``` + + + +```python + +df_sem_duplicatas = pd.melt(df_sem_duplicatas, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido') + +print(df_sem_duplicatas) + +``` + + + +```python + +# Salvando o arquivo final mesclado em um novo CSV + +df_sem_duplicatas.to_csv('co2.csv', index=False, encoding='utf-8') + +print(df_sem_duplicatas) + +``` + + + +## 2. DADOS DESMATAMENTO - MAPBIOMAS + +```python + +import pandas as pd +import numpy as np +import matplotlib.pyplot as plt + +``` + + +```python + +# importando dados + +df3 = pd.read_csv('mapbiomas_ba.csv') + +# Exibindo as primeiras linhas dos DataFrames para verificar + +print(df3.head()) + +``` + + +```python + +df3.info() + +```python + + + +```python + +# Converta todas as colunas de anos para int, por exemplo + +df3[['ANODETEC']] = df3[['ANODETEC']].astype(int) + +df3.info() + +``` + + +```python + +# Remover múltiplas colunas de uma vez, temos que deixar municipio, area ha (pra calcular o desmatamento, data tec e ano) + +colunas_para_remover = ['CODEALERTA', 'FONTE', 'ESTADO', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'VPRESSAO'] + +df3_limpo = df3.drop(columns=colunas_para_remover) + +print(df3_limpo.head()) + +``` + + + +```python + +print(df3_limpo.info()) + +``` + + +```python + +# Verificar se tem valores faltantes + +print(df3_limpo.isnull().sum()) + +``` + + +```python + +# Agrupamentos + +df3_MUN = df3_limpo.groupby('MUNICIPIO')['AREAHA'].sum().reset_index() + +# Mostrar o resultado +print(df3_MUN.head()) + +df3_ANO = df3_limpo.groupby('ANODETEC')['AREAHA'].sum().reset_index() + +# Mostrar o resultado +print(df3_ANO.head()) + +``` + +```python + +# Salvando o arquivo final em um novo CSV + +df3_limpo.to_csv('desmatamento.csv', index=False) + +print(df3_limpo) + +``` From c4476865d28de585b4b3b5f1df95284ef50cf6be Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 19:22:53 -0300 Subject: [PATCH 49/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 20a8f7e..23200d1 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -115,7 +115,6 @@ print(df2.head()) df1.info() df2.info() - ``` @@ -135,7 +134,6 @@ df2['Categoria'] = df2['Categoria'].astype(str) print(df1.head()) print(df2.head()) - ``` @@ -287,7 +285,7 @@ print(df3.head()) df3.info() -```python +``` @@ -315,7 +313,6 @@ print(df3_limpo.head()) ``` - ```python print(df3_limpo.info()) @@ -348,6 +345,7 @@ print(df3_ANO.head()) ``` + ```python # Salvando o arquivo final em um novo CSV From 0f797a9293a5804bacc783b796638551fb3993d2 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 19:29:30 -0300 Subject: [PATCH 50/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 23200d1..54f32eb 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -10,6 +10,7 @@ Anne Ribeiro anne.asribeiro@gmail.com Este projeto consiste na criação de um banco de dados e análise destes dados de desmatamento e CO2 do estado da Bahia nos últimos 5 anos. + ## Etapas do projeto: 1. Selecionar a Base de Dados 2. Definir Objetivo e Perguntas @@ -35,7 +36,8 @@ Este projeto consiste na criação de um banco de dados e análise destes dados ### Objetivo Geral: -Criar um banco de dados e realizar uma análise dos dados com o objetivo de identificar variáveis de como o desmatamento na Bahia impacta nas taxas de emissão de CO2. +Este projeto tem como objetivo realizar uma análise exploratória dos dados com o objetivo de identificar variáveis de como as taxas de emissão de CO2 foram impactadas pelo desmatamento nos últimos 5 anos e no período da pandemia. + ### As perguntas norteadoras deste projeto são: From 267d897b9564bbf78118aa4771d0c75c63a106b0 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 20:03:37 -0300 Subject: [PATCH 51/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 122 +++++++++++++++--------------- 1 file changed, 59 insertions(+), 63 deletions(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 54f32eb..54650aa 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -1,5 +1,8 @@ # Projeto Final de Análise de Dados + +**Impacto do Desmatamento e Emissões de CO₂ na Bahia: Uma Análise ambiental no período da Pandemia** + Desenvolvido por: Paloma Avena palomaavena@gmail.com @@ -8,16 +11,17 @@ Anne Ribeiro anne.asribeiro@gmail.com ## Contexto -Este projeto consiste na criação de um banco de dados e análise destes dados de desmatamento e CO2 do estado da Bahia nos últimos 5 anos. +Este projeto tem como foco a criação de um banco de dados e a análise de dados sobre desmatamento e emissões de CO₂ no estado da Bahia nos últimos 5 anos. A partir disso, busca-se entender a relação entre o desmatamento e as emissões de CO₂, analisando possíveis impactos durante o período da pandemia. ## Etapas do projeto: -1. Selecionar a Base de Dados -2. Definir Objetivo e Perguntas -3. Realizar Análise Exploratória -4. Gerar Base Final -5. Criar Visualizações no Tableau -6. Apresentação Final + +1.Seleção das Bases de Dados +2.Definição de Objetivo e Perguntas +3.Análise Exploratória +4.Geração da Base Final +5.Criação de Visualizações no Tableau +6.Apresentação Final --- @@ -36,27 +40,25 @@ Este projeto consiste na criação de um banco de dados e análise destes dados ### Objetivo Geral: -Este projeto tem como objetivo realizar uma análise exploratória dos dados com o objetivo de identificar variáveis de como as taxas de emissão de CO2 foram impactadas pelo desmatamento nos últimos 5 anos e no período da pandemia. - +Realizar uma análise exploratória para identificar como as taxas de emissão de CO₂ foram impactadas pelo desmatamento nos últimos cinco anos, com um olhar específico sobre o período da pandemia. ### As perguntas norteadoras deste projeto são: -1. Qual a taxa de desmatamento nos biomas/municípios da Bahia e como ela evoluiu no período de 2019 a 2022? -2. Qual a taxa de CO2 nos municípios da Bahia e como ela evoluiu no período de 2019 a 2022? -3. Como o desmatamento na Bahia impacta as taxas de emissão de CO₂? Existe uma relação entre as áreas desmatadas e o aumento de CO2? -4. Quais regiões da Bahia apresentam as maiores emissões de carbono derivadas do desmatamento? -5. Houve alguma alteração no período da Pandemia? +1. Qual foi a taxa de desmatamento nos biomas/municípios da Bahia de 2019 a 2022? +2. Qual foi a taxa de emissões de CO₂ nos municípios da Bahia nesse mesmo período? +3. Qual a relação entre desmatamento e as emissões de CO₂ na Bahia? +4. Quais regiões apresentaram as maiores emissões de CO₂ ligadas ao desmatamento? +5. Houve alguma mudança significativa durante o período da pandemia? --- ## Ferramentas Utilizadas + - **Banco de dados** - **Python (Jupyter Notebook)**: Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc. - **Tableau**: Para criar as visualizações finais e apresentar os insights gerados. - **GitHub**: Para versionamento do projeto e documentação. - **Google Colab**: Para execução de notebooks de forma colaborativa e em nuvem. ---- - ### Instalações Instalando o Python: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador. @@ -106,6 +108,7 @@ df1 = pd.read_csv('SEEG.csv') df2 = pd.read_csv('SEEG1.csv') # Exibindo as primeiras linhas dos DataFrames para verificar + print(df1.head()) print(df2.head()) @@ -114,6 +117,8 @@ print(df2.head()) ```python +# Verificar informações gerais dos DataFrames + df1.info() df2.info() @@ -122,32 +127,17 @@ df2.info() ```python -# Converta todas as colunas de anos para string, por exemplo +# Converter todas as colunas de anos para string, por exemplo df1[['2019', '2020', '2021', '2022']] = df1[['2019', '2020', '2021', '2022']].astype(float) df2[['2019', '2020', '2021', '2022']] = df2[['2019', '2020', '2021', '2022']].astype(float) -# Converta a coluna Categoria também, se necessário -df1['Categoria'] = df1['Categoria'].astype(str) -df2['Categoria'] = df2['Categoria'].astype(str) - - -# Exibindo as primeiras linhas dos DataFrames para verificar -print(df1.head()) -print(df2.head()) - -``` - - -```python - # Remover espaços em branco no início e no fim dos valores das colunas de chave df1['Categoria'] = df1['Categoria'].str.strip() df2['Categoria'] = df2['Categoria'].str.strip() - # Exibindo as primeiras linhas dos DataFrames para verificar print(df1.head()) print(df2.head()) @@ -157,18 +147,9 @@ print(df2.head()) ```python -print("Valores únicos de Categoria no df1:", df1['Categoria'].unique()) -print("Valores únicos de Categoria no df2:", df2['Categoria'].unique()) - -``` - - -```python - -# Fazendo a mesclagem com base em várias colunas +# Mesclar os dois DataFrames com base na Categoria e anos df_merged = pd.merge(df1, df2, on=['Categoria', '2019', '2020', '2021', '2022'], how='outer', suffixes=('.x', '.y')) - # Exibindo as primeiras linhas do arquivo mesclado print(df_merged.head()) @@ -192,21 +173,16 @@ df_merged.columns ```python -# Selecionar as colunas específicas - -df_reduzido = df_merged[['Categoria','2019', '2020', '2021', '2022']] -print(df_reduzido) - -``` - - +# Selecionar colunas relevantes e renomeá-las -```python +df_reduzido = df_merged[['Categoria', '2019', '2020', '2021', '2022']].copy() # Altera os nomes das colunas df_reduzido.columns = ['Municípios', '2019', '2020', '2021', '2022'] -print(df_reduzido) + +# Exibir o DataFrame reduzido +print(df_reduzido.head()) ``` @@ -239,6 +215,8 @@ print(df_sem_duplicatas) ```python +# Transformar os dados para um formato longo (melt) + df_sem_duplicatas = pd.melt(df_sem_duplicatas, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido') print(df_sem_duplicatas) @@ -324,7 +302,7 @@ print(df3_limpo.info()) ```python -# Verificar se tem valores faltantes +# Verificar se tem valores nulo print(df3_limpo.isnull().sum()) @@ -335,25 +313,43 @@ print(df3_limpo.isnull().sum()) # Agrupamentos -df3_MUN = df3_limpo.groupby('MUNICIPIO')['AREAHA'].sum().reset_index() -# Mostrar o resultado -print(df3_MUN.head()) +# Agrupando os dados por município e ano para obter a área desmatada total -df3_ANO = df3_limpo.groupby('ANODETEC')['AREAHA'].sum().reset_index() +df3_final = df3_limpo.groupby(['MUNICIPIO', 'ANODETEC'])['AREAHA'].sum().reset_index() -# Mostrar o resultado -print(df3_ANO.head()) + +# Salvando o resultado em CSV +df3_final.to_csv('desmatamento.csv', index=False) + +print(df3_final.head()) ``` -```python +### 3. Integração dos Dados de CO₂ e Desmatamento por Município + + +``` python + +# Carregar os dados de CO2 e desmatamento já processados -# Salvando o arquivo final em um novo CSV +df_co2 = pd.read_csv('co2.csv') +df_desmatamento = pd.read_csv('desmatamento.csv') -df3_limpo.to_csv('desmatamento.csv', index=False) -print(df3_limpo) +# Realizar a junção das tabelas por Município e Ano + +df_integrado = pd.merge(df_desmatamento, df_co2, left_on=['MUNICIPIO', 'ANODETEC'], right_on=['Municípios', 'Ano'], how='inner') + +# Remover as colunas duplicadas após a junção +df_integrado = df_integrado.drop(columns=['Municípios', 'Ano']) + +# Exibir as primeiras linhas da tabela integrada +print(df_integrado.head()) + +# Salvando o arquivo final em CSV +df_integrado.to_csv('dados_integrados.csv', index=False) ``` + From 98f53d6a0612311857c10eb80d2f4018d4ae5c22 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 20:23:24 -0300 Subject: [PATCH 52/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 54650aa..9e3fdf1 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -332,24 +332,25 @@ print(df3_final.head()) ``` python -# Carregar os dados de CO2 e desmatamento já processados +# Limpar e padronizar os nomes de municípios e anos +df_desmatamento['MUNICIPIO'] = df_desmatamento['MUNICIPIO'].str.strip().str.lower() +df_co2['Municípios'] = df_co2['Municípios'].str.strip().str.lower() -df_co2 = pd.read_csv('co2.csv') -df_desmatamento = pd.read_csv('desmatamento.csv') +# Remover informações de estado (como "(BA)") de 'Municípios' +df_co2['Municípios'] = df_co2['Municípios'].str.replace(r' \(.*\)', '', regex=True) +# Converter as colunas de ano para o mesmo tipo +df_desmatamento['ANODETEC'] = df_desmatamento['ANODETEC'].astype(int) +df_co2['Ano'] = df_co2['Ano'].astype(int) -# Realizar a junção das tabelas por Município e Ano - +# Realizar a junção das tabelas com base nos municípios e anos df_integrado = pd.merge(df_desmatamento, df_co2, left_on=['MUNICIPIO', 'ANODETEC'], right_on=['Municípios', 'Ano'], how='inner') -# Remover as colunas duplicadas após a junção -df_integrado = df_integrado.drop(columns=['Municípios', 'Ano']) - # Exibir as primeiras linhas da tabela integrada -print(df_integrado.head()) +df_integrado.head() # Salvando o arquivo final em CSV -df_integrado.to_csv('dados_integrados.csv', index=False) +df_integrado.to_csv('dados_integrados.csv', index=False, encoding='utf-8') ``` From 0ea79a9dbd6894a727cf67da93f98963876f00cf Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 20:28:13 -0300 Subject: [PATCH 53/90] Add files via upload --- dados/dados_integrados (1).csv | 4369 ++++++++++++++++++++++++++++++++ 1 file changed, 4369 insertions(+) create mode 100644 dados/dados_integrados (1).csv diff --git a/dados/dados_integrados (1).csv b/dados/dados_integrados (1).csv new file mode 100644 index 0000000..0dd9994 --- /dev/null +++ b/dados/dados_integrados (1).csv @@ -0,0 +1,4369 @@ +BIOMA,MUNICIPIO,AREAHA,ANODETEC,DATADETEC,Municípios,Ano,CO2_emitido +Cerrado,são desidério,12.52,2021,2021/07/28,são desidério,2021,3159579.701361537 +Cerrado,luís eduardo magalhães,4.83,2021,2021/07/28,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,riachão das neves,7.41,2021,2021/07/28,riachão das neves,2021,761963.2862440944 +Cerrado,baianópolis,2.91,2021,2021/08/22,baianópolis,2021,1700892.2622466087 +Cerrado,santa rita de cássia,2.3,2021,2021/07/05,santa rita de cássia,2021,998700.5789114236 +Cerrado,santa rita de cássia,2.48,2021,2021/07/05,santa rita de cássia,2021,998700.5789114236 +Cerrado,riachão das neves,25.49,2022,2022/02/01,riachão das neves,2022,670183.0 +Cerrado,baianópolis,366.63,2022,2022/09/03,baianópolis,2022,413632.0 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+Caatinga,jequié,9.74,2022,2022/09/01,jequié,2022,498001.0 +Caatinga,santa rita de cássia,4.23,2022,2022/08/01,santa rita de cássia,2022,569631.0 +Cerrado,jaborandi,1986.71,2022,2022/04/10,jaborandi,2022,1734316.0 +Caatinga,jequié,5.07,2022,2022/09/01,jequié,2022,498001.0 +Mata Atlântica,jequié,2.64,2022,2022/10/31,jequié,2022,498001.0 +Mata Atlântica,itarantim,15.55,2022,2022/10/31,itarantim,2022,203154.0 +Mata Atlântica,itambé,12.52,2022,2022/10/31,itambé,2022,227632.0 +Mata Atlântica,encruzilhada,1.33,2022,2022/10/31,encruzilhada,2022,414662.0 +Mata Atlântica,encruzilhada,57.62,2022,2022/10/31,encruzilhada,2022,414662.0 +Mata Atlântica,itambé,4.86,2022,2022/11/30,itambé,2022,227632.0 +Mata Atlântica,ibicuí,3.41,2022,2022/10/31,ibicuí,2022,245755.0 +Mata Atlântica,iguaí,0.96,2022,2022/10/31,iguaí,2022,277970.0 +Mata Atlântica,encruzilhada,6.25,2022,2022/10/31,encruzilhada,2022,414662.0 +Mata Atlântica,camamu,0.72,2022,2022/09/30,camamu,2022,232571.0 +Mata Atlântica,dário meira,13.74,2022,2022/09/30,dário meira,2022,217077.0 +Mata Atlântica,ilhéus,9.89,2022,2022/09/30,ilhéus,2022,209209.0 +Mata Atlântica,itagibá,5.3,2022,2022/09/30,itagibá,2022,288483.0 +Mata Atlântica,ilhéus,3.58,2022,2022/09/30,ilhéus,2022,209209.0 +Mata Atlântica,iguaí,2.19,2022,2022/09/30,iguaí,2022,277970.0 +Cerrado,jaborandi,2455.87,2022,2022/05/21,jaborandi,2022,1734316.0 +Caatinga,santa rita de cássia,39.41,2022,2022/09/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,758.46,2022,2022/09/01,barra,2022,312169.0 +Cerrado,são desidério,15.32,2022,2022/01/28,são desidério,2022,2729422.0 +Cerrado,baianópolis,11.16,2022,2022/03/28,baianópolis,2022,413632.0 +Cerrado,formosa do rio preto,1.92,2022,2022/03/28,formosa do rio preto,2022,2432263.0 +Cerrado,cotegipe,6.63,2022,2022/02/28,cotegipe,2022,297663.0 +Cerrado,jaborandi,5.16,2022,2022/02/28,jaborandi,2022,1734316.0 +Cerrado,jaborandi,2.28,2022,2022/02/28,jaborandi,2022,1734316.0 +Cerrado,formosa do rio preto,2.81,2022,2022/07/28,formosa do rio preto,2022,2432263.0 +Cerrado,barreiras,6.07,2022,2022/07/28,barreiras,2022,996163.0 +Cerrado,barreiras,1.72,2022,2022/07/28,barreiras,2022,996163.0 +Cerrado,riachão das neves,1.51,2022,2022/10/28,riachão das neves,2022,670183.0 +Cerrado,cotegipe,2.07,2022,2022/11/28,cotegipe,2022,297663.0 +Cerrado,são desidério,3.27,2022,2022/12/28,são desidério,2022,2729422.0 +Cerrado,santa rita de cássia,4.86,2022,2022/11/28,santa rita de cássia,2022,569631.0 +Cerrado,são desidério,10.39,2022,2022/12/28,são desidério,2022,2729422.0 +Cerrado,cotegipe,2.12,2022,2022/12/28,cotegipe,2022,297663.0 +Cerrado,santa rita de cássia,9.84,2022,2022/12/28,santa rita de cássia,2022,569631.0 +Caatinga,barra,1.37,2022,2022/10/01,barra,2022,312169.0 +Caatinga,santa rita de cássia,33.57,2022,2022/10/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,1.71,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,2.49,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,0.79,2022,2022/10/01,barra,2022,312169.0 +Caatinga,santa rita de cássia,24.23,2022,2022/10/01,santa rita de cássia,2022,569631.0 +Mata Atlântica,jequié,29.08,2022,2022/12/01,jequié,2022,498001.0 +Caatinga,barra,1.64,2022,2022/10/01,barra,2022,312169.0 +Caatinga,santa rita de cássia,0.64,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,1.87,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,9.87,2022,2022/10/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,8.61,2022,2022/10/01,santa rita de cássia,2022,569631.0 +Cerrado,formosa do rio preto,13.71,2022,2022/10/01,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,3.47,2022,2022/11/01,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,36.4,2022,2022/11/01,formosa do rio preto,2022,2432263.0 +Caatinga,santa rita de cássia,22.78,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Caatinga,cotegipe,6.06,2022,2022/11/01,cotegipe,2022,297663.0 +Cerrado,santa rita de cássia,0.73,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Cerrado,formosa do rio preto,3.51,2022,2022/10/01,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,4.3,2022,2022/10/01,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,0.91,2022,2022/10/01,formosa do rio preto,2022,2432263.0 +Cerrado,santa rita de cássia,12.73,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Cerrado,formosa do rio preto,2.51,2022,2022/10/01,formosa do rio preto,2022,2432263.0 +Cerrado,santa rita de cássia,5.59,2022,2022/10/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,7.82,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,14.51,2022,2022/10/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,17.56,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,6.17,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,22.32,2022,2022/07/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,4.0,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,7.36,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Cerrado,são desidério,50.71,2022,2022/12/01,são desidério,2022,2729422.0 +Cerrado,formosa do rio preto,29.6,2022,2022/11/01,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,1.53,2022,2022/10/01,formosa do rio preto,2022,2432263.0 +Cerrado,santa rita de cássia,76.15,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Cerrado,riachão das neves,47.89,2022,2022/12/01,riachão das neves,2022,670183.0 +Cerrado,formosa do rio preto,0.69,2022,2022/12/01,formosa do rio preto,2022,2432263.0 +Caatinga,barra,2.25,2022,2022/10/01,barra,2022,312169.0 +Caatinga,santa rita de cássia,13.43,2022,2022/09/01,santa rita de cássia,2022,569631.0 +Cerrado,cotegipe,2.26,2022,2022/11/01,cotegipe,2022,297663.0 +Cerrado,santa rita de cássia,1.72,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Cerrado,formosa do rio preto,0.6,2022,2022/11/01,formosa do rio preto,2022,2432263.0 +Cerrado,jaborandi,3.62,2022,2022/12/01,jaborandi,2022,1734316.0 +Cerrado,cocos,2.9,2022,2022/12/01,cocos,2022,367625.0 +Cerrado,jaborandi,3.49,2022,2022/12/01,jaborandi,2022,1734316.0 +Cerrado,jaborandi,19.32,2022,2022/12/01,jaborandi,2022,1734316.0 +Cerrado,baianópolis,3.3,2022,2022/12/01,baianópolis,2022,413632.0 +Cerrado,correntina,21.93,2022,2022/12/01,correntina,2022,1473135.0 +Cerrado,barreiras,11.55,2022,2022/12/01,barreiras,2022,996163.0 +Cerrado,riachão das neves,18.22,2022,2022/12/01,riachão das neves,2022,670183.0 +Cerrado,santa rita de cássia,4.89,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,6.51,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,1.26,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,10.21,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Cerrado,cocos,32.61,2022,2022/12/01,cocos,2022,367625.0 +Cerrado,riachão das neves,5.57,2022,2022/12/01,riachão das neves,2022,670183.0 +Cerrado,riachão das neves,51.68,2022,2022/12/01,riachão das neves,2022,670183.0 +Cerrado,riachão das neves,92.6,2022,2022/12/01,riachão das neves,2022,670183.0 +Cerrado,riachão das neves,6.16,2022,2022/10/01,riachão das neves,2022,670183.0 +Mata Atlântica,encruzilhada,184.17,2022,2022/12/01,encruzilhada,2022,414662.0 +Cerrado,cocos,4.49,2022,2022/12/01,cocos,2022,367625.0 +Cerrado,cocos,5.69,2022,2022/12/01,cocos,2022,367625.0 +Cerrado,santa rita de cássia,3.99,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Cerrado,riachão das neves,116.34,2022,2022/12/01,riachão das neves,2022,670183.0 +Cerrado,cocos,11.57,2022,2022/12/01,cocos,2022,367625.0 +Cerrado,baianópolis,3.32,2022,2022/12/01,baianópolis,2022,413632.0 +Cerrado,riachão das neves,727.24,2022,2022/12/01,riachão das neves,2022,670183.0 +Cerrado,santa rita de cássia,5.89,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,3.31,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,5.32,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Cerrado,formosa do rio preto,12.57,2022,2022/11/01,formosa do rio preto,2022,2432263.0 +Cerrado,santa rita de cássia,7.16,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,0.47,2022,2022/12/01,barra,2022,312169.0 +Cerrado,riachão das neves,116.2,2022,2022/10/01,riachão das neves,2022,670183.0 +Cerrado,santa rita de cássia,2.98,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Caatinga,cocos,43.15,2022,2022/12/01,cocos,2022,367625.0 +Cerrado,formosa do rio preto,28.64,2022,2022/12/01,formosa do rio preto,2022,2432263.0 +Cerrado,correntina,1501.45,2022,2022/12/01,correntina,2022,1473135.0 +Cerrado,baianópolis,60.14,2022,2022/12/01,baianópolis,2022,413632.0 +Cerrado,formosa do rio preto,25.92,2022,2022/11/01,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,4.87,2022,2022/10/01,formosa do rio preto,2022,2432263.0 +Caatinga,cocos,8.73,2022,2022/12/01,cocos,2022,367625.0 +Cerrado,santa rita de cássia,17.23,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,10.46,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Cerrado,formosa do rio preto,12.05,2022,2022/11/01,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,3.57,2022,2022/11/01,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,5.25,2022,2022/10/01,formosa do rio preto,2022,2432263.0 +Caatinga,barra,1.76,2022,2022/10/01,barra,2022,312169.0 +Caatinga,cocos,14.31,2022,2022/12/01,cocos,2022,367625.0 +Cerrado,formosa do rio preto,1.38,2022,2022/11/01,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,12.98,2022,2022/11/01,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,15.21,2022,2022/11/01,formosa do rio preto,2022,2432263.0 +Caatinga,cotegipe,36.85,2022,2022/12/01,cotegipe,2022,297663.0 +Caatinga,barra,1.8,2022,2022/12/01,barra,2022,312169.0 +Cerrado,santa rita de cássia,4.59,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,266.44,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Cerrado,barreiras,17.58,2022,2022/12/01,barreiras,2022,996163.0 +Cerrado,santa rita de cássia,37.5,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,1.68,2022,2022/12/01,barra,2022,312169.0 +Cerrado,santa rita de cássia,2406.65,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Cerrado,riachão das neves,2.23,2022,2022/11/01,riachão das neves,2022,670183.0 +Caatinga,barra,16.0,2022,2022/12/01,barra,2022,312169.0 +Caatinga,barra,2.81,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,1.23,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,2.02,2022,2022/11/01,barra,2022,312169.0 +Caatinga,santa rita de cássia,28.69,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,0.56,2022,2022/12/01,barra,2022,312169.0 +Caatinga,barra,1.27,2022,2022/12/01,barra,2022,312169.0 +Caatinga,jaborandi,1.69,2022,2022/12/01,jaborandi,2022,1734316.0 +Caatinga,cocos,7.19,2022,2022/12/01,cocos,2022,367625.0 +Caatinga,barra,0.92,2022,2022/12/01,barra,2022,312169.0 +Caatinga,santa rita de cássia,10.95,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,2.48,2022,2022/12/01,barra,2022,312169.0 +Caatinga,barra,1.85,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,2.86,2022,2022/10/01,barra,2022,312169.0 +Caatinga,jaborandi,14.37,2022,2022/10/01,jaborandi,2022,1734316.0 +Caatinga,barra,1.11,2022,2022/11/01,barra,2022,312169.0 +Caatinga,santa rita de cássia,6.11,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Caatinga,cocos,13.66,2022,2022/12/01,cocos,2022,367625.0 +Caatinga,barra,1.08,2022,2022/12/01,barra,2022,312169.0 +Caatinga,santa rita de cássia,6.99,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Caatinga,cocos,15.59,2022,2022/12/01,cocos,2022,367625.0 +Caatinga,cocos,21.64,2022,2022/12/01,cocos,2022,367625.0 +Cerrado,santa rita de cássia,8.44,2022,2022/10/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,0.98,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,4.65,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,281.35,2022,2022/12/01,barra,2022,312169.0 +Caatinga,barra,116.26,2022,2022/09/01,barra,2022,312169.0 +Caatinga,barra,335.27,2022,2022/09/01,barra,2022,312169.0 +Caatinga,santa rita de cássia,3.55,2022,2022/09/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,13.61,2022,2022/09/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,1.18,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,0.34,2022,2022/11/01,barra,2022,312169.0 +Caatinga,jequié,18.06,2022,2022/12/01,jequié,2022,498001.0 +Caatinga,barra,0.74,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,0.87,2022,2022/12/01,barra,2022,312169.0 +Caatinga,barra,2.58,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,1.75,2022,2022/11/01,barra,2022,312169.0 +Caatinga,cocos,7.07,2022,2022/12/01,cocos,2022,367625.0 +Caatinga,santa rita de cássia,19.44,2022,2022/09/01,santa rita de cássia,2022,569631.0 +Caatinga,cocos,9.71,2022,2022/12/01,cocos,2022,367625.0 +Caatinga,barra,14.76,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,2.1,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,4.79,2022,2022/12/01,barra,2022,312169.0 +Caatinga,barra,4.82,2022,2022/12/01,barra,2022,312169.0 +Caatinga,barra,1.48,2022,2022/11/01,barra,2022,312169.0 +Caatinga,jaborandi,6.15,2022,2022/10/01,jaborandi,2022,1734316.0 +Caatinga,santa rita de cássia,4.37,2022,2022/10/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,8.55,2022,2022/10/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,2.79,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,2.22,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,1.76,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,3.31,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,6.72,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,6.68,2022,2022/12/01,barra,2022,312169.0 +Caatinga,cotegipe,1.29,2022,2022/11/01,cotegipe,2022,297663.0 +Caatinga,santa rita de cássia,77.08,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,9.58,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,1.33,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,5.6,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,0.93,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,2.21,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,1.62,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,5.95,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,4.39,2022,2022/10/01,barra,2022,312169.0 +Caatinga,santa rita de cássia,3.62,2022,2022/12/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,1.39,2022,2022/11/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,127.52,2022,2022/10/01,barra,2022,312169.0 +Caatinga,jequié,4.71,2022,2022/09/01,jequié,2022,498001.0 +Caatinga,barra,2.79,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,0.97,2022,2022/11/01,barra,2022,312169.0 +Caatinga,cotegipe,37.03,2022,2022/09/01,cotegipe,2022,297663.0 +Caatinga,barra,1.21,2022,2022/10/01,barra,2022,312169.0 +Caatinga,cotegipe,43.54,2022,2022/09/01,cotegipe,2022,297663.0 +Caatinga,barra,5.83,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,1.15,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,0.85,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,28.3,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,7.4,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,4.98,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,5.16,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,7.26,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,1.19,2022,2022/11/01,barra,2022,312169.0 +Caatinga,correntina,2.3,2022,2022/10/01,correntina,2022,1473135.0 +Caatinga,barra,37.85,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,2.93,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,2.26,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,0.37,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,2.83,2022,2022/10/01,barra,2022,312169.0 +Caatinga,santa rita de cássia,1.9,2022,2022/10/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,12.56,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,29.07,2022,2022/11/01,barra,2022,312169.0 +Caatinga,jaborandi,6.98,2022,2022/10/01,jaborandi,2022,1734316.0 +Caatinga,barra,2.2,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,14.33,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,1.43,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,2.39,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,0.93,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,0.94,2022,2022/10/01,barra,2022,312169.0 +Caatinga,jaborandi,6.48,2022,2022/10/01,jaborandi,2022,1734316.0 +Caatinga,barra,13.78,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,8.86,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,286.27,2022,2022/10/01,barra,2022,312169.0 +Caatinga,barra,1096.84,2022,2022/11/01,barra,2022,312169.0 +Caatinga,barra,3.12,2022,2022/11/01,barra,2022,312169.0 +Cerrado,formosa do rio preto,110.87,2019,2019/09/17,formosa do rio preto,2019,4220327.0016454905 +Cerrado,são desidério,37.22,2019,2019/09/20,são desidério,2019,2024107.6610826247 +Mata Atlântica,camamu,2.04,2019,2019/11/08,camamu,2019,221471.44368362427 +Cerrado,barreiras,47.78,2019,2019/12/16,barreiras,2019,1568927.0175619423 +Cerrado,formosa do rio preto,490.07,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 +Cerrado,formosa do rio preto,121.11,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 +Cerrado,formosa do rio preto,12.95,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 +Cerrado,baianópolis,7.84,2019,2019/03/16,baianópolis,2019,607436.7982445955 +Cerrado,são desidério,6.72,2019,2019/04/17,são desidério,2019,2024107.6610826247 +Cerrado,riachão das neves,2.01,2019,2019/01/23,riachão das neves,2019,580173.0040331781 +Caatinga,santa rita de cássia,14.92,2019,2019/03/02,santa rita de cássia,2019,694797.0868461728 +Cerrado,formosa do rio preto,122.45,2019,2019/07/18,formosa do rio preto,2019,4220327.0016454905 +Cerrado,santa rita de cássia,4.87,2019,2019/05/22,santa rita de cássia,2019,694797.0868461728 +Cerrado,são desidério,9.72,2019,2019/03/31,são desidério,2019,2024107.6610826247 +Cerrado,baianópolis,2.63,2019,2019/06/08,baianópolis,2019,607436.7982445955 +Caatinga,cotegipe,77.99,2019,2019/06/02,cotegipe,2019,331163.8086628318 +Cerrado,formosa do rio preto,69.86,2019,2019/07/07,formosa do rio preto,2019,4220327.0016454905 +Cerrado,santa rita de cássia,248.56,2019,2019/05/07,santa rita de cássia,2019,694797.0868461728 +Mata Atlântica,camamu,26.48,2019,2019/03/29,camamu,2019,221471.44368362427 +Cerrado,formosa do rio preto,427.22,2020,2020/02/26,formosa do rio preto,2020,3073766.4334418774 +Caatinga,correntina,10.26,2020,2020/05/02,correntina,2020,1060525.6563282013 +Cerrado,jaborandi,9.14,2020,2020/04/30,jaborandi,2020,1744004.154955864 +Caatinga,cotegipe,8.63,2020,2020/04/24,cotegipe,2020,559960.0834841728 +Cerrado,luís eduardo magalhães,482.95,2020,2020/02/11,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,são desidério,21.29,2020,2020/03/29,são desidério,2020,3091203.197527945 +Mata Atlântica,ilhéus,1.69,2020,2020/04/16,ilhéus,2020,191205.86366391185 +Mata Atlântica,camamu,2.94,2020,2020/02/20,camamu,2020,434741.3974044919 +Mata Atlântica,guaratinga,8.36,2020,2020/01/11,guaratinga,2020,251656.63093233109 +Mata Atlântica,encruzilhada,14.29,2020,2020/05/01,encruzilhada,2020,451620.4507952333 +Cerrado,são desidério,18.33,2020,2020/06/01,são desidério,2020,3091203.197527945 +Cerrado,jaborandi,8.69,2020,2020/06/01,jaborandi,2020,1744004.154955864 +Mata Atlântica,belmonte,3.86,2020,2020/06/30,belmonte,2020,350558.8480718136 +Mata Atlântica,itagibá,3.11,2020,2020/06/30,itagibá,2020,72102.08046793938 +Cerrado,baianópolis,18.54,2020,2020/06/09,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,281.3,2020,2020/07/14,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,39.63,2020,2020/07/14,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,18.75,2020,2020/08/01,correntina,2020,1060525.6563282013 +Cerrado,correntina,5.27,2020,2020/08/01,correntina,2020,1060525.6563282013 +Cerrado,correntina,2.62,2020,2020/08/01,correntina,2020,1060525.6563282013 +Cerrado,barreiras,68.29,2020,2020/09/01,barreiras,2020,1179766.0970728395 +Cerrado,luís eduardo magalhães,66.99,2020,2020/09/01,luís eduardo magalhães,2020,1523413.1056941748 +Caatinga,cotegipe,9.93,2020,2020/09/01,cotegipe,2020,559960.0834841728 +Cerrado,santa rita de cássia,7.8,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,4.59,2020,2020/09/30,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,9.8,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,96.69,2020,2020/10/08,são desidério,2020,3091203.197527945 +Cerrado,santa rita de cássia,36.75,2020,2020/10/26,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,itagibá,50.07,2020,2020/10/25,itagibá,2020,72102.08046793938 +Caatinga,santa rita de cássia,13.97,2020,2020/11/14,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,3.05,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,1.07,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 +Cerrado,baianópolis,11.61,2021,2021/02/01,baianópolis,2021,1700892.2622466087 +Mata Atlântica,guaratinga,3.77,2021,2021/03/10,guaratinga,2021,171742.56461274624 +Mata Atlântica,encruzilhada,4.99,2021,2021/03/25,encruzilhada,2021,587315.3614428043 +Cerrado,são desidério,617.48,2021,2021/05/27,são desidério,2021,3159579.701361537 +Cerrado,formosa do rio preto,279.04,2021,2021/05/19,formosa do rio preto,2021,2299737.8741800785 +Cerrado,formosa do rio preto,333.42,2021,2021/05/21,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,ilhéus,8.27,2021,2021/05/21,ilhéus,2021,131715.1359180212 +Cerrado,santa rita de cássia,13.05,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,barreiras,313.34,2021,2021/06/14,barreiras,2021,958306.347179532 +Caatinga,santa rita de cássia,3.44,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,jaborandi,2.59,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Caatinga,barra,1.29,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,4.93,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,7.79,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,1.87,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,3.62,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,jaborandi,4.15,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,baianópolis,8.54,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,correntina,0.79,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,correntina,2.13,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,15.11,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Caatinga,barra,1.39,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,1.83,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,3.75,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,3.05,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,7.07,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,4.16,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,3.22,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,riachão das neves,8.01,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,barreiras,17.8,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,4.58,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Caatinga,santa rita de cássia,2.84,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,24.59,2021,2021/07/16,barra,2021,79058.81857037544 +Cerrado,santa rita de cássia,5.72,2021,2021/07/18,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,itapetinga,8.57,2021,2021/07/16,itapetinga,2021,20727.768303871155 +Caatinga,cotegipe,2.69,2021,2021/06/01,cotegipe,2021,292547.2605621815 +Caatinga,cocos,14.77,2021,2021/08/16,cocos,2021,1229644.9681953788 +Mata Atlântica,valença,9.56,2021,2021/08/17,valença,2021,195332.51262283325 +Cerrado,santa rita de cássia,13.22,2021,2021/09/26,santa rita de cássia,2021,998700.5789114236 +Cerrado,baianópolis,1348.52,2021,2021/08/01,baianópolis,2021,1700892.2622466087 +Mata Atlântica,valença,7.77,2021,2021/11/21,valença,2021,195332.51262283325 +Caatinga,santa rita de cássia,4.96,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,6.73,2021,2021/09/01,barra,2021,79058.81857037544 +Cerrado,santa rita de cássia,26.23,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,20.12,2021,2021/12/01,cotegipe,2021,292547.2605621815 +Caatinga,cotegipe,10.22,2021,2021/03/05,cotegipe,2021,292547.2605621815 +Cerrado,santa rita de cássia,24.57,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 +Cerrado,luís eduardo magalhães,31.47,2021,2021/07/01,luís eduardo magalhães,2021,654262.0002045631 +Caatinga,santa rita de cássia,5.37,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,12.49,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,itarantim,12.52,2022,2022/02/28,itarantim,2022,203154.0 +Mata Atlântica,itambé,11.13,2022,2022/03/31,itambé,2022,227632.0 +Cerrado,são desidério,44.19,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,barreiras,7.65,2022,2022/03/30,barreiras,2022,996163.0 +Cerrado,formosa do rio preto,168.06,2022,2022/05/06,formosa do rio preto,2022,2432263.0 +Cerrado,jaborandi,411.96,2022,2022/04/25,jaborandi,2022,1734316.0 +Cerrado,santa rita de cássia,0.71,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Mata Atlântica,valença,0.84,2022,2022/06/30,valença,2022,378871.0 +Mata Atlântica,camamu,0.68,2022,2022/06/30,camamu,2022,232571.0 +Mata Atlântica,nilo peçanha,0.61,2022,2022/06/30,nilo peçanha,2022,238334.0 +Cerrado,são desidério,39.98,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,cotegipe,2.84,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,são desidério,4.47,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,cocos,173.34,2022,2022/08/01,cocos,2022,367625.0 +Cerrado,jaborandi,540.83,2022,2022/08/02,jaborandi,2022,1734316.0 +Mata Atlântica,valença,1.71,2022,2022/07/31,valença,2022,378871.0 +Mata Atlântica,itarantim,2.8,2022,2022/07/31,itarantim,2022,203154.0 +Cerrado,santa rita de cássia,10.26,2022,2022/09/16,santa rita de cássia,2022,569631.0 +Cerrado,barreiras,93.52,2022,2022/09/16,barreiras,2022,996163.0 +Cerrado,barreiras,28.21,2022,2022/09/28,barreiras,2022,996163.0 +Mata Atlântica,belmonte,7.06,2019,2019/06/18,belmonte,2019,390403.1881421805 +Cerrado,barreiras,371.35,2019,2019/08/16,barreiras,2019,1568927.0175619423 +Cerrado,luís eduardo magalhães,0.52,2019,2019/11/17,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,correntina,11.83,2019,2019/11/20,correntina,2019,1545572.943816781 +Caatinga,santa rita de cássia,15.86,2019,2019/11/11,santa rita de cássia,2019,694797.0868461728 +Cerrado,barreiras,58.99,2019,2019/12/16,barreiras,2019,1568927.0175619423 +Mata Atlântica,belmonte,5.51,2019,2019/10/16,belmonte,2019,390403.1881421805 +Cerrado,formosa do rio preto,23.09,2019,2019/01/29,formosa do rio preto,2019,4220327.0016454905 +Cerrado,barreiras,276.35,2019,2019/05/10,barreiras,2019,1568927.0175619423 +Cerrado,são desidério,2.68,2019,2019/01/29,são desidério,2019,2024107.6610826247 +Cerrado,são desidério,29.85,2019,2019/07/18,são desidério,2019,2024107.6610826247 +Cerrado,são desidério,7.93,2019,2019/01/06,são desidério,2019,2024107.6610826247 +Cerrado,jaborandi,1065.98,2019,2019/04/29,jaborandi,2019,1706967.7386553884 +Cerrado,formosa do rio preto,100.38,2019,2019/02/15,formosa do rio preto,2019,4220327.0016454905 +Cerrado,formosa do rio preto,1552.16,2019,2019/05/07,formosa do rio preto,2019,4220327.0016454905 +Cerrado,riachão das neves,168.99,2019,2019/04/17,riachão das neves,2019,580173.0040331781 +Cerrado,formosa do rio preto,2032.02,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 +Cerrado,jaborandi,198.38,2019,2019/07/30,jaborandi,2019,1706967.7386553884 +Mata Atlântica,valença,4.99,2019,2019/04/22,valença,2019,247673.75340151787 +Mata Atlântica,guaratinga,3.04,2019,2019/04/06,guaratinga,2019,211708.01093423367 +Cerrado,cocos,104.13,2020,2020/04/27,cocos,2020,1218387.32458961 +Mata Atlântica,ilhéus,6.14,2020,2020/04/16,ilhéus,2020,191205.86366391185 +Caatinga,barreiras,33.91,2020,2020/05/01,barreiras,2020,1179766.0970728395 +Cerrado,são desidério,51.76,2020,2020/06/01,são desidério,2020,3091203.197527945 +Cerrado,barreiras,4.55,2020,2020/02/01,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,8.18,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,3.51,2020,2020/02/01,correntina,2020,1060525.6563282013 +Mata Atlântica,jequié,6.06,2020,2020/06/30,jequié,2020,186265.72844171524 +Mata Atlântica,ilhéus,4.23,2020,2020/06/20,ilhéus,2020,191205.86366391185 +Cerrado,jaborandi,1135.88,2020,2020/05/28,jaborandi,2020,1744004.154955864 +Caatinga,cocos,83.59,2020,2020/05/31,cocos,2020,1218387.32458961 +Cerrado,jaborandi,5.66,2020,2020/07/01,jaborandi,2020,1744004.154955864 +Cerrado,luís eduardo magalhães,26.86,2020,2020/08/11,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,santa rita de cássia,18.28,2020,2020/08/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,ilhéus,0.54,2020,2020/09/08,ilhéus,2020,191205.86366391185 +Caatinga,santa rita de cássia,11.71,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,3.61,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,4.16,2020,2020/11/01,correntina,2020,1060525.6563282013 +Caatinga,cotegipe,10.29,2020,2020/12/01,cotegipe,2020,559960.0834841728 +Cerrado,correntina,15.32,2020,2020/12/14,correntina,2020,1060525.6563282013 +Mata Atlântica,valença,1.28,2020,2020/12/12,valença,2020,427637.707020998 +Mata Atlântica,guaratinga,2.91,2020,2020/12/04,guaratinga,2020,251656.63093233109 +Cerrado,riachão das neves,13.07,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 +Cerrado,formosa do rio preto,37.91,2021,2021/01/29,formosa do rio preto,2021,2299737.8741800785 +Cerrado,barreiras,170.26,2021,2021/02/01,barreiras,2021,958306.347179532 +Caatinga,cotegipe,13.9,2021,2021/02/11,cotegipe,2021,292547.2605621815 +Cerrado,correntina,272.74,2021,2021/03/13,correntina,2021,1585476.3940644264 +Cerrado,são desidério,89.68,2021,2021/03/25,são desidério,2021,3159579.701361537 +Mata Atlântica,itagibá,3.01,2021,2021/04/19,itagibá,2021,111453.28504517674 +Cerrado,baianópolis,381.66,2021,2021/04/29,baianópolis,2021,1700892.2622466087 +Cerrado,formosa do rio preto,4.8,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 +Cerrado,formosa do rio preto,1.64,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 +Cerrado,riachão das neves,22.11,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Caatinga,cotegipe,2.83,2021,2021/01/01,cotegipe,2021,292547.2605621815 +Cerrado,barreiras,17.86,2021,2021/04/01,barreiras,2021,958306.347179532 +Cerrado,formosa do rio preto,77.01,2021,2021/06/14,formosa do rio preto,2021,2299737.8741800785 +Caatinga,cotegipe,20.95,2021,2021/05/30,cotegipe,2021,292547.2605621815 +Caatinga,barra,2.87,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.33,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,são desidério,1.05,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,12.06,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,jaborandi,7.44,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Caatinga,barra,1.78,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,riachão das neves,11.33,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,4.32,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,1.9,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,4.76,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,5.53,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,26.61,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,7.3,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,2.5,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,31.46,2021,2021/07/27,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,guaratinga,6.77,2021,2021/07/16,guaratinga,2021,171742.56461274624 +Cerrado,correntina,29.96,2021,2021/08/02,correntina,2021,1585476.3940644264 +Mata Atlântica,itagibá,11.86,2021,2021/09/18,itagibá,2021,111453.28504517674 +Cerrado,santa rita de cássia,8.55,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,itapetinga,4.16,2021,2021/11/01,itapetinga,2021,20727.768303871155 +Mata Atlântica,camamu,3.95,2021,2021/11/21,camamu,2021,163548.15982496738 +Caatinga,santa rita de cássia,10.03,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,0.92,2021,2021/09/01,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,1.08,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,6.2,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,cocos,2.22,2021,2021/10/01,cocos,2021,1229644.9681953788 +Cerrado,barreiras,5.42,2021,2021/11/01,barreiras,2021,958306.347179532 +Cerrado,santa rita de cássia,7.31,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,29.64,2021,2021/12/01,barra,2021,79058.81857037544 +Cerrado,santa rita de cássia,771.0,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,baianópolis,1015.77,2021,2021/12/01,baianópolis,2021,1700892.2622466087 +Cerrado,jaborandi,23.49,2021,2021/03/13,jaborandi,2021,2051920.940728784 +Cerrado,formosa do rio preto,25.99,2021,2021/04/05,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,valença,4.26,2021,2021/02/06,valença,2021,195332.51262283325 +Cerrado,formosa do rio preto,9.15,2022,2022/01/22,formosa do rio preto,2022,2432263.0 +Cerrado,baianópolis,173.73,2022,2022/01/31,baianópolis,2022,413632.0 +Cerrado,baianópolis,20.38,2022,2022/02/26,baianópolis,2022,413632.0 +Cerrado,correntina,12.42,2022,2022/02/23,correntina,2022,1473135.0 +Cerrado,santa rita de cássia,308.83,2022,2022/03/09,santa rita de cássia,2022,569631.0 +Cerrado,luís eduardo magalhães,66.79,2022,2022/03/01,luís eduardo magalhães,2022,343098.0 +Cerrado,jaborandi,260.55,2022,2022/05/29,jaborandi,2022,1734316.0 +Cerrado,barreiras,163.28,2022,2022/05/09,barreiras,2022,996163.0 +Cerrado,cocos,56.31,2022,2022/05/15,cocos,2022,367625.0 +Mata Atlântica,guaratinga,1.2,2022,2022/05/31,guaratinga,2022,243882.0 +Cerrado,são desidério,2661.74,2022,2022/04/25,são desidério,2022,2729422.0 +Cerrado,santa rita de cássia,2.36,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,9.46,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Mata Atlântica,itambé,1.53,2022,2022/06/30,itambé,2022,227632.0 +Cerrado,formosa do rio preto,15.91,2022,2022/03/01,formosa do rio preto,2022,2432263.0 +Cerrado,correntina,10.38,2022,2022/03/01,correntina,2022,1473135.0 +Cerrado,são desidério,4.5,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,cotegipe,3.62,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,correntina,10.93,2022,2022/03/01,correntina,2022,1473135.0 +Cerrado,cocos,1129.62,2022,2022/07/17,cocos,2022,367625.0 +Cerrado,santa rita de cássia,69.4,2022,2022/08/02,santa rita de cássia,2022,569631.0 +Cerrado,formosa do rio preto,20.97,2022,2022/08/24,formosa do rio preto,2022,2432263.0 +Mata Atlântica,valença,0.44,2022,2022/07/31,valença,2022,378871.0 +Mata Atlântica,ilhéus,1.2,2022,2022/07/31,ilhéus,2022,209209.0 +Mata Atlântica,maraú,1.25,2022,2022/07/31,maraú,2022,275953.0 +Cerrado,baianópolis,8.96,2019,2019/01/29,baianópolis,2019,607436.7982445955 +Cerrado,cocos,16.29,2019,2019/09/11,cocos,2019,959394.147064954 +Cerrado,santa rita de cássia,108.5,2019,2019/11/14,santa rita de cássia,2019,694797.0868461728 +Caatinga,santa rita de cássia,11.39,2019,2019/12/16,santa rita de cássia,2019,694797.0868461728 +Cerrado,baianópolis,15.59,2019,2019/01/06,baianópolis,2019,607436.7982445955 +Cerrado,jaborandi,675.54,2019,2019/06/20,jaborandi,2019,1706967.7386553884 +Cerrado,formosa do rio preto,70.4,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 +Cerrado,luís eduardo magalhães,11.52,2019,2019/05/10,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,formosa do rio preto,298.84,2019,2019/02/13,formosa do rio preto,2019,4220327.0016454905 +Cerrado,santa rita de cássia,10.25,2019,2019/02/21,santa rita de cássia,2019,694797.0868461728 +Caatinga,santa rita de cássia,37.54,2019,2019/02/21,santa rita de cássia,2019,694797.0868461728 +Cerrado,jaborandi,11.0,2019,2019/03/10,jaborandi,2019,1706967.7386553884 +Cerrado,formosa do rio preto,1015.45,2019,2019/06/17,formosa do rio preto,2019,4220327.0016454905 +Mata Atlântica,ilhéus,2.05,2019,2019/04/15,ilhéus,2019,158872.06799983978 +Cerrado,correntina,25.42,2020,2020/05/02,correntina,2020,1060525.6563282013 +Cerrado,jaborandi,320.55,2020,2020/01/31,jaborandi,2020,1744004.154955864 +Cerrado,são desidério,11.1,2020,2020/04/21,são desidério,2020,3091203.197527945 +Cerrado,jaborandi,2294.79,2020,2020/03/29,jaborandi,2020,1744004.154955864 +Cerrado,luís eduardo magalhães,49.8,2020,2020/02/11,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,santa rita de cássia,12.16,2020,2020/01/11,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,249.56,2020,2020/01/11,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,15.81,2020,2020/02/17,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,304.05,2020,2020/04/03,correntina,2020,1060525.6563282013 +Mata Atlântica,camamu,1.04,2020,2020/05/02,camamu,2020,434741.3974044919 +Mata Atlântica,ibirapitanga,2.11,2020,2020/01/11,ibirapitanga,2020,296362.889919281 +Caatinga,santa rita de cássia,2.11,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,62.55,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,itagibá,7.18,2020,2020/06/30,itagibá,2020,72102.08046793938 +Mata Atlântica,belmonte,1.74,2020,2020/07/14,belmonte,2020,350558.8480718136 +Caatinga,santa rita de cássia,9.65,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,10.71,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,13.09,2020,2020/07/01,baianópolis,2020,790814.9751247168 +Cerrado,barreiras,10.19,2020,2020/07/01,barreiras,2020,1179766.0970728395 +Cerrado,são desidério,20.13,2020,2020/07/01,são desidério,2020,3091203.197527945 +Mata Atlântica,belmonte,11.58,2020,2020/07/30,belmonte,2020,350558.8480718136 +Cerrado,baianópolis,129.7,2020,2020/08/01,baianópolis,2020,790814.9751247168 +Cerrado,correntina,46.14,2020,2020/08/20,correntina,2020,1060525.6563282013 +Caatinga,jaborandi,17.72,2020,2020/08/01,jaborandi,2020,1744004.154955864 +Cerrado,riachão das neves,85.9,2020,2020/09/24,riachão das neves,2020,1085054.2665590644 +Caatinga,correntina,0.75,2020,2020/09/01,correntina,2020,1060525.6563282013 +Cerrado,santa rita de cássia,18.32,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,36.64,2020,2020/09/21,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,2.98,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,encruzilhada,26.29,2020,2020/09/30,encruzilhada,2020,451620.4507952333 +Cerrado,são desidério,18.14,2020,2020/10/14,são desidério,2020,3091203.197527945 +Caatinga,santa rita de cássia,30.35,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,52.72,2020,2020/12/14,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,6.22,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,30.46,2020,2020/12/17,cotegipe,2020,559960.0834841728 +Caatinga,barra,2.67,2020,2020/12/01,barra,2020,139778.05993533134 +Caatinga,cotegipe,17.05,2020,2020/12/01,cotegipe,2020,559960.0834841728 +Caatinga,santa rita de cássia,28.8,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,ibirapitanga,1.08,2021,2021/02/22,ibirapitanga,2021,72436.60405349731 +Caatinga,santa rita de cássia,15.79,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,santa rita de cássia,26.45,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 +Cerrado,luís eduardo magalhães,28.38,2021,2021/03/28,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,baianópolis,333.24,2021,2021/05/04,baianópolis,2021,1700892.2622466087 +Caatinga,cotegipe,5.16,2021,2021/01/01,cotegipe,2021,292547.2605621815 +Cerrado,são desidério,1326.77,2021,2021/01/01,são desidério,2021,3159579.701361537 +Caatinga,santa rita de cássia,5.85,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,encruzilhada,8.67,2021,2021/04/01,encruzilhada,2021,587315.3614428043 +Cerrado,baianópolis,26.5,2021,2021/06/14,baianópolis,2021,1700892.2622466087 +Cerrado,barreiras,5.51,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Caatinga,barra,3.74,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,correntina,2.82,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,correntina,4.37,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,santa rita de cássia,0.79,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,6.17,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,luís eduardo magalhães,4.93,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,barreiras,4.37,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,3.31,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,3.33,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,2.31,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,2.86,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Caatinga,santa rita de cássia,1.71,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cocos,48.71,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,formosa do rio preto,18.97,2021,2021/05/01,formosa do rio preto,2021,2299737.8741800785 +Cerrado,são desidério,5.14,2021,2021/05/01,são desidério,2021,3159579.701361537 +Cerrado,formosa do rio preto,355.01,2021,2021/07/01,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,encruzilhada,3.54,2021,2021/10/27,encruzilhada,2021,587315.3614428043 +Mata Atlântica,encruzilhada,0.88,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Cerrado,baianópolis,16.38,2021,2021/11/17,baianópolis,2021,1700892.2622466087 +Caatinga,barra,0.47,2021,2021/09/01,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,4.11,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,3.3,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Cerrado,santa rita de cássia,8.52,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,0.93,2021,2021/11/01,barra,2021,79058.81857037544 +Cerrado,santa rita de cássia,197.14,2021,2021/03/05,santa rita de cássia,2021,998700.5789114236 +Cerrado,formosa do rio preto,256.47,2021,2021/05/19,formosa do rio preto,2021,2299737.8741800785 +Cerrado,são desidério,356.04,2021,2021/05/07,são desidério,2021,3159579.701361537 +Cerrado,correntina,1213.07,2021,2021/06/14,correntina,2021,1585476.3940644264 +Cerrado,jaborandi,34.25,2021,2021/06/25,jaborandi,2021,2051920.940728784 +Caatinga,barra,158.14,2021,2021/07/27,barra,2021,79058.81857037544 +Mata Atlântica,ilhéus,10.1,2021,2021/11/21,ilhéus,2021,131715.1359180212 +Mata Atlântica,belmonte,16.81,2021,2021/12/16,belmonte,2021,331485.0170983076 +Caatinga,santa rita de cássia,5.42,2021,2021/03/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,são desidério,2.64,2021,2021/04/01,são desidério,2021,3159579.701361537 +Caatinga,cotegipe,19.46,2021,2021/10/01,cotegipe,2021,292547.2605621815 +Mata Atlântica,encruzilhada,28.56,2022,2022/02/28,encruzilhada,2022,414662.0 +Mata Atlântica,itambé,1.44,2022,2022/03/31,itambé,2022,227632.0 +Cerrado,correntina,349.34,2022,2022/01/25,correntina,2022,1473135.0 +Cerrado,formosa do rio preto,4.21,2022,2022/01/25,formosa do rio preto,2022,2432263.0 +Cerrado,são desidério,327.5,2022,2022/02/26,são desidério,2022,2729422.0 +Mata Atlântica,encruzilhada,8.84,2022,2022/06/30,encruzilhada,2022,414662.0 +Cerrado,são desidério,138.17,2022,2022/04/25,são desidério,2022,2729422.0 +Cerrado,santa rita de cássia,5.56,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,0.84,2022,2022/03/01,barra,2022,312169.0 +Cerrado,são desidério,2.32,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,riachão das neves,49.63,2022,2022/08/09,riachão das neves,2022,670183.0 +Cerrado,santa rita de cássia,19.9,2022,2022/08/12,santa rita de cássia,2022,569631.0 +Mata Atlântica,camamu,1.19,2022,2022/07/31,camamu,2022,232571.0 +Cerrado,santa rita de cássia,166.28,2022,2022/09/21,santa rita de cássia,2022,569631.0 +Cerrado,formosa do rio preto,127.59,2022,2022/09/16,formosa do rio preto,2022,2432263.0 +Mata Atlântica,camamu,2.95,2019,2019/06/09,camamu,2019,221471.44368362427 +Cerrado,são desidério,79.61,2019,2019/11/20,são desidério,2019,2024107.6610826247 +Cerrado,luís eduardo magalhães,42.54,2019,2019/10/07,luís eduardo magalhães,2019,800435.7103590965 +Caatinga,cocos,9.08,2019,2019/10/16,cocos,2019,959394.147064954 +Caatinga,jaborandi,19.77,2019,2019/10/28,jaborandi,2019,1706967.7386553884 +Cerrado,baianópolis,26.43,2019,2019/11/05,baianópolis,2019,607436.7982445955 +Mata Atlântica,itagibá,21.1,2019,2019/11/08,itagibá,2019,121675.55451917648 +Cerrado,formosa do rio preto,15.44,2019,2019/11/28,formosa do rio preto,2019,4220327.0016454905 +Cerrado,riachão das neves,40.71,2019,2019/12/16,riachão das neves,2019,580173.0040331781 +Mata Atlântica,camamu,4.45,2019,2019/07/19,camamu,2019,221471.44368362427 +Cerrado,riachão das neves,19.11,2019,2019/08/08,riachão das neves,2019,580173.0040331781 +Cerrado,formosa do rio preto,205.86,2019,2019/05/13,formosa do rio preto,2019,4220327.0016454905 +Cerrado,formosa do rio preto,386.35,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 +Caatinga,cotegipe,24.46,2019,2019/04/23,cotegipe,2019,331163.8086628318 +Cerrado,cocos,16.55,2019,2019/07/10,cocos,2019,959394.147064954 +Cerrado,formosa do rio preto,11.47,2019,2019/01/29,formosa do rio preto,2019,4220327.0016454905 +Mata Atlântica,maraú,1.91,2019,2019/06/09,maraú,2019,80207.4920681715 +Cerrado,santa rita de cássia,17.75,2020,2020/05/14,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,323.17,2020,2020/05/14,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,165.15,2020,2020/01/31,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,95.7,2020,2020/02/11,riachão das neves,2020,1085054.2665590644 +Cerrado,riachão das neves,259.4,2020,2020/03/29,riachão das neves,2020,1085054.2665590644 +Mata Atlântica,valença,2.32,2020,2020/01/11,valença,2020,427637.707020998 +Mata Atlântica,igrapiúna,1.36,2020,2020/06/19,igrapiúna,2020,378236.5840551853 +Caatinga,santa rita de cássia,7.72,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,jaborandi,5.51,2020,2020/07/01,jaborandi,2020,1744004.154955864 +Caatinga,correntina,8.96,2020,2020/08/01,correntina,2020,1060525.6563282013 +Caatinga,cotegipe,11.33,2020,2020/09/01,cotegipe,2020,559960.0834841728 +Cerrado,barreiras,8.79,2020,2020/09/15,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,54.34,2020,2020/10/23,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,2.37,2020,2020/11/15,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,8.13,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,18.1,2020,2020/12/14,baianópolis,2020,790814.9751247168 +Mata Atlântica,nilo peçanha,1.71,2020,2020/12/12,nilo peçanha,2020,154625.95725762844 +Cerrado,santa rita de cássia,7.37,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,25.41,2021,2021/01/23,formosa do rio preto,2021,2299737.8741800785 +Cerrado,são desidério,4418.4,2021,2021/03/02,são desidério,2021,3159579.701361537 +Cerrado,formosa do rio preto,10.94,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Caatinga,cotegipe,11.24,2021,2021/03/13,cotegipe,2021,292547.2605621815 +Cerrado,jaborandi,17.19,2021,2021/04/14,jaborandi,2021,2051920.940728784 +Mata Atlântica,ibirapitanga,1.05,2021,2021/04/27,ibirapitanga,2021,72436.60405349731 +Mata Atlântica,jequié,6.62,2021,2021/05/13,jequié,2021,163926.43447589874 +Caatinga,cotegipe,11.67,2021,2021/05/02,cotegipe,2021,292547.2605621815 +Cerrado,são desidério,2.39,2021,2021/01/01,são desidério,2021,3159579.701361537 +Cerrado,correntina,4.31,2021,2021/01/01,correntina,2021,1585476.3940644264 +Cerrado,correntina,14.62,2021,2021/01/01,correntina,2021,1585476.3940644264 +Cerrado,riachão das neves,162.74,2021,2021/03/01,riachão das neves,2021,761963.2862440944 +Caatinga,barra,0.41,2021,2021/03/01,barra,2021,79058.81857037544 +Caatinga,barra,36.5,2021,2021/05/28,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,8.69,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,santa rita de cássia,4.61,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,belmonte,9.31,2021,2021/06/15,belmonte,2021,331485.0170983076 +Cerrado,formosa do rio preto,19.72,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,são desidério,3.64,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,cotegipe,2.14,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,são desidério,3.33,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,cocos,40.74,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,cotegipe,2.71,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,santa rita de cássia,3.93,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,1.99,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,cotegipe,5.3,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,cotegipe,4.55,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,santa rita de cássia,6.65,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cotegipe,5.97,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,cotegipe,3.25,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,baianópolis,5.88,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,1.57,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,1.54,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Caatinga,correntina,2.65,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,20.47,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,são desidério,1.69,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,formosa do rio preto,4.7,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Caatinga,santa rita de cássia,1.0,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,2.64,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,3.54,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,3.15,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,10.57,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,6.47,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,9.27,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,jaborandi,6.86,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Caatinga,santa rita de cássia,24.09,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,3.95,2020,2020/01/01,cocos,2020,1218387.32458961 +Caatinga,correntina,1.83,2021,2021/05/01,correntina,2021,1585476.3940644264 +Cerrado,riachão das neves,9.99,2021,2021/07/01,riachão das neves,2021,761963.2862440944 +Cerrado,são desidério,12.55,2021,2021/08/05,são desidério,2021,3159579.701361537 +Cerrado,barreiras,27.21,2021,2021/09/26,barreiras,2021,958306.347179532 +Cerrado,jaborandi,28.54,2021,2021/09/20,jaborandi,2021,2051920.940728784 +Cerrado,santa rita de cássia,140.33,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,camamu,0.99,2021,2021/12/16,camamu,2021,163548.15982496738 +Mata Atlântica,belmonte,3.41,2021,2021/12/16,belmonte,2021,331485.0170983076 +Caatinga,barra,2.32,2021,2021/09/01,barra,2021,79058.81857037544 +Cerrado,riachão das neves,195.28,2021,2021/09/01,riachão das neves,2021,761963.2862440944 +Caatinga,santa rita de cássia,2.67,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,9.69,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Cerrado,baianópolis,0.71,2021,2021/10/01,baianópolis,2021,1700892.2622466087 +Cerrado,jaborandi,29.34,2021,2021/12/01,jaborandi,2021,2051920.940728784 +Cerrado,jaborandi,22.16,2021,2021/12/01,jaborandi,2021,2051920.940728784 +Caatinga,cotegipe,47.47,2021,2021/07/07,cotegipe,2021,292547.2605621815 +Caatinga,cotegipe,10.78,2021,2021/01/01,cotegipe,2021,292547.2605621815 +Cerrado,cotegipe,0.79,2021,2021/05/01,cotegipe,2021,292547.2605621815 +Caatinga,cotegipe,4.21,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Cerrado,formosa do rio preto,82.97,2022,2022/01/22,formosa do rio preto,2022,2432263.0 +Cerrado,são desidério,3408.17,2022,2022/03/15,são desidério,2022,2729422.0 +Cerrado,formosa do rio preto,701.67,2022,2022/03/01,formosa do rio preto,2022,2432263.0 +Cerrado,são desidério,112.83,2022,2022/05/09,são desidério,2022,2729422.0 +Mata Atlântica,encruzilhada,14.95,2022,2022/05/31,encruzilhada,2022,414662.0 +Mata Atlântica,ilhéus,1.18,2022,2022/06/30,ilhéus,2022,209209.0 +Cerrado,são desidério,169.71,2022,2022/06/13,são desidério,2022,2729422.0 +Mata Atlântica,iguaí,13.22,2022,2022/05/31,iguaí,2022,277970.0 +Mata Atlântica,maraú,1.43,2022,2022/05/31,maraú,2022,275953.0 +Mata Atlântica,valença,1.67,2022,2022/06/30,valença,2022,378871.0 +Mata Atlântica,belmonte,0.16,2022,2022/06/30,belmonte,2022,354868.0 +Mata Atlântica,itarantim,0.68,2022,2022/06/30,itarantim,2022,203154.0 +Cerrado,correntina,2.16,2022,2022/03/01,correntina,2022,1473135.0 +Cerrado,são desidério,1.36,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,cotegipe,4.39,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,jaborandi,8.93,2022,2022/03/01,jaborandi,2022,1734316.0 +Caatinga,jaborandi,6.2,2022,2022/03/01,jaborandi,2022,1734316.0 +Cerrado,formosa do rio preto,8.4,2022,2022/08/24,formosa do rio preto,2022,2432263.0 +Cerrado,correntina,2.11,2022,2022/04/01,correntina,2022,1473135.0 +Caatinga,barra,19.97,2022,2022/05/01,barra,2022,312169.0 +Mata Atlântica,valença,1.46,2022,2022/07/31,valença,2022,378871.0 +Mata Atlântica,nilo peçanha,4.95,2022,2022/07/31,nilo peçanha,2022,238334.0 +Cerrado,são desidério,46.97,2022,2022/09/26,são desidério,2022,2729422.0 +Mata Atlântica,belmonte,2.28,2019,2019/08/13,belmonte,2019,390403.1881421805 +Cerrado,santa rita de cássia,9.08,2019,2019/08/02,santa rita de cássia,2019,694797.0868461728 +Caatinga,jaborandi,4.82,2019,2019/09/26,jaborandi,2019,1706967.7386553884 +Cerrado,luís eduardo magalhães,168.38,2019,2019/10/07,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,formosa do rio preto,14.88,2019,2019/11/11,formosa do rio preto,2019,4220327.0016454905 +Cerrado,riachão das neves,37.7,2019,2019/12/16,riachão das neves,2019,580173.0040331781 +Caatinga,cocos,17.26,2019,2019/12/27,cocos,2019,959394.147064954 +Cerrado,formosa do rio preto,451.05,2019,2019/05/07,formosa do rio preto,2019,4220327.0016454905 +Cerrado,santa rita de cássia,10.03,2019,2019/05/13,santa rita de cássia,2019,694797.0868461728 +Cerrado,luís eduardo magalhães,139.58,2019,2019/04/17,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,luís eduardo magalhães,105.04,2019,2019/07/10,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,barreiras,12.03,2019,2019/01/29,barreiras,2019,1568927.0175619423 +Mata Atlântica,guaratinga,7.36,2019,2019/04/22,guaratinga,2019,211708.01093423367 +Mata Atlântica,itambé,8.2,2019,2019/03/05,itambé,2019,100107.73387336732 +Mata Atlântica,ibirapitanga,2.39,2019,2019/02/01,ibirapitanga,2019,86205.62920188904 +Cerrado,correntina,2.2,2020,2020/04/30,correntina,2020,1060525.6563282013 +Cerrado,barreiras,223.89,2020,2020/04/12,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,384.05,2020,2020/02/26,barreiras,2020,1179766.0970728395 +Cerrado,formosa do rio preto,117.6,2020,2020/04/29,formosa do rio preto,2020,3073766.4334418774 +Cerrado,riachão das neves,1.95,2020,2020/01/11,riachão das neves,2020,1085054.2665590644 +Cerrado,correntina,1017.31,2020,2020/01/31,correntina,2020,1060525.6563282013 +Cerrado,formosa do rio preto,1194.74,2020,2020/02/26,formosa do rio preto,2020,3073766.4334418774 +Cerrado,jaborandi,10.36,2020,2020/01/08,jaborandi,2020,1744004.154955864 +Mata Atlântica,encruzilhada,69.86,2020,2020/02/11,encruzilhada,2020,451620.4507952333 +Cerrado,são desidério,11.18,2020,2020/02/01,são desidério,2020,3091203.197527945 +Cerrado,santa rita de cássia,24.06,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,13.24,2020,2020/02/01,riachão das neves,2020,1085054.2665590644 +Mata Atlântica,valença,5.14,2020,2020/06/19,valença,2020,427637.707020998 +Cerrado,barreiras,22.19,2020,2020/06/09,barreiras,2020,1179766.0970728395 +Cerrado,formosa do rio preto,24.7,2020,2020/06/09,formosa do rio preto,2020,3073766.4334418774 +Cerrado,são desidério,32.52,2020,2020/07/05,são desidério,2020,3091203.197527945 +Caatinga,correntina,1.09,2020,2020/07/01,correntina,2020,1060525.6563282013 +Cerrado,barreiras,11.71,2020,2020/08/01,barreiras,2020,1179766.0970728395 +Cerrado,correntina,23.9,2020,2020/09/01,correntina,2020,1060525.6563282013 +Cerrado,santa rita de cássia,38.26,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,6.75,2020,2020/09/24,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,29.21,2020,2020/09/24,baianópolis,2020,790814.9751247168 +Mata Atlântica,nilo peçanha,2.1,2020,2020/10/25,nilo peçanha,2020,154625.95725762844 +Caatinga,barra,4.12,2020,2020/10/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,25.66,2020,2020/11/29,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,10.73,2020,2020/12/01,cotegipe,2020,559960.0834841728 +Caatinga,santa rita de cássia,17.98,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,8.89,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,valença,2.03,2020,2020/12/12,valença,2020,427637.707020998 +Cerrado,santa rita de cássia,3.61,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,1.54,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,camamu,2.67,2020,2020/12/29,camamu,2020,434741.3974044919 +Mata Atlântica,maraú,1.28,2020,2020/12/29,maraú,2020,170126.90513539314 +Mata Atlântica,dário meira,5.45,2021,2021/02/22,dário meira,2021,101797.88742160796 +Cerrado,formosa do rio preto,15.63,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,valença,4.41,2021,2021/04/27,valença,2021,195332.51262283325 +Caatinga,jequié,28.56,2021,2021/01/01,jequié,2021,163926.43447589874 +Cerrado,são desidério,4.31,2021,2021/01/01,são desidério,2021,3159579.701361537 +Cerrado,riachão das neves,9.31,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Cerrado,são desidério,353.1,2021,2021/05/16,são desidério,2021,3159579.701361537 +Caatinga,santa rita de cássia,5.04,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,valença,1.98,2021,2021/06/30,valença,2021,195332.51262283325 +Cerrado,riachão das neves,6.89,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,formosa do rio preto,2.9,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,luís eduardo magalhães,218.09,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 +Caatinga,cotegipe,1.82,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,cotegipe,10.37,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,riachão das neves,2.26,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Caatinga,santa rita de cássia,1.42,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,4.67,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,0.64,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,cotegipe,6.52,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,cotegipe,5.44,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,baianópolis,3.05,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,1.3,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,correntina,3.61,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,correntina,1.29,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,são desidério,5.75,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,7.5,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,2.0,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,jaborandi,3.07,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Caatinga,jaborandi,1.63,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Caatinga,santa rita de cássia,2.81,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,1.45,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,20.19,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,barreiras,15.62,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,formosa do rio preto,2.8,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,3.17,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,7.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cocos,8.56,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,cocos,7.46,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,santa rita de cássia,386.84,2021,2021/05/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cocos,9.16,2021,2021/08/08,cocos,2021,1229644.9681953788 +Cerrado,são desidério,103.02,2021,2021/08/22,são desidério,2021,3159579.701361537 +Cerrado,jaborandi,30.17,2021,2021/08/22,jaborandi,2021,2051920.940728784 +Cerrado,barreiras,110.39,2021,2021/08/28,barreiras,2021,958306.347179532 +Cerrado,barreiras,54.04,2021,2021/07/01,barreiras,2021,958306.347179532 +Caatinga,santa rita de cássia,13.47,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,15.87,2021,2021/08/01,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,28.78,2021,2021/08/01,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,belmonte,27.44,2021,2021/09/01,belmonte,2021,331485.0170983076 +Mata Atlântica,itambé,25.31,2021,2021/11/01,itambé,2021,65263.4872546196 +Mata Atlântica,itambé,3.36,2021,2021/12/01,itambé,2021,65263.4872546196 +Caatinga,santa rita de cássia,0.61,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,11.24,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,1.65,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cocos,11.58,2021,2021/10/01,cocos,2021,1229644.9681953788 +Caatinga,cocos,12.54,2021,2021/10/01,cocos,2021,1229644.9681953788 +Cerrado,riachão das neves,1.95,2021,2021/11/01,riachão das neves,2021,761963.2862440944 +Cerrado,são desidério,64.79,2021,2021/03/05,são desidério,2021,3159579.701361537 +Cerrado,jaborandi,3887.74,2021,2021/06/17,jaborandi,2021,2051920.940728784 +Mata Atlântica,encruzilhada,4.95,2022,2022/03/31,encruzilhada,2022,414662.0 +Cerrado,riachão das neves,250.21,2022,2022/03/01,riachão das neves,2022,670183.0 +Cerrado,luís eduardo magalhães,126.25,2022,2022/05/18,luís eduardo magalhães,2022,343098.0 +Cerrado,correntina,497.62,2022,2022/05/15,correntina,2022,1473135.0 +Cerrado,são desidério,46.54,2022,2022/05/09,são desidério,2022,2729422.0 +Cerrado,correntina,1046.07,2022,2022/04/07,correntina,2022,1473135.0 +Cerrado,formosa do rio preto,141.71,2022,2022/04/27,formosa do rio preto,2022,2432263.0 +Cerrado,jaborandi,149.32,2022,2022/04/19,jaborandi,2022,1734316.0 +Cerrado,santa rita de cássia,2.06,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,jaborandi,956.95,2022,2022/06/01,jaborandi,2022,1734316.0 +Cerrado,barreiras,102.55,2022,2022/06/07,barreiras,2022,996163.0 +Caatinga,cotegipe,6.77,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,formosa do rio preto,9.45,2022,2022/03/01,formosa do rio preto,2022,2432263.0 +Cerrado,santa rita de cássia,5.11,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Cerrado,barreiras,375.94,2022,2022/08/04,barreiras,2022,996163.0 +Cerrado,formosa do rio preto,36.92,2022,2022/08/01,formosa do rio preto,2022,2432263.0 +Cerrado,baianópolis,70.57,2022,2022/08/07,baianópolis,2022,413632.0 +Cerrado,jaborandi,5.8,2022,2022/04/01,jaborandi,2022,1734316.0 +Caatinga,barra,2.39,2022,2022/05/01,barra,2022,312169.0 +Cerrado,cocos,32.26,2022,2022/05/01,cocos,2022,367625.0 +Mata Atlântica,iguaí,0.77,2022,2022/07/31,iguaí,2022,277970.0 +Mata Atlântica,encruzilhada,5.76,2022,2022/07/31,encruzilhada,2022,414662.0 +Caatinga,santa rita de cássia,13.74,2019,2019/01/17,santa rita de cássia,2019,694797.0868461728 +Mata Atlântica,ilhéus,15.6,2019,2019/06/26,ilhéus,2019,158872.06799983978 +Cerrado,formosa do rio preto,316.86,2019,2019/08/08,formosa do rio preto,2019,4220327.0016454905 +Cerrado,correntina,488.23,2019,2019/09/11,correntina,2019,1545572.943816781 +Cerrado,luís eduardo magalhães,25.68,2019,2019/10/16,luís eduardo magalhães,2019,800435.7103590965 +Caatinga,cotegipe,37.87,2019,2019/12/16,cotegipe,2019,331163.8086628318 +Cerrado,baianópolis,12.12,2019,2019/08/02,baianópolis,2019,607436.7982445955 +Cerrado,são desidério,4.81,2019,2019/04/29,são desidério,2019,2024107.6610826247 +Cerrado,são desidério,17.39,2019,2019/01/06,são desidério,2019,2024107.6610826247 +Cerrado,barreiras,7.48,2019,2019/04/17,barreiras,2019,1568927.0175619423 +Cerrado,baianópolis,13.49,2019,2019/04/29,baianópolis,2019,607436.7982445955 +Caatinga,cotegipe,12.26,2019,2019/06/20,cotegipe,2019,331163.8086628318 +Cerrado,formosa do rio preto,523.73,2019,2019/08/31,formosa do rio preto,2019,4220327.0016454905 +Mata Atlântica,valença,3.16,2019,2019/04/22,valença,2019,247673.75340151787 +Mata Atlântica,belmonte,10.02,2019,2019/04/23,belmonte,2019,390403.1881421805 +Mata Atlântica,itapetinga,29.27,2019,2019/02/01,itapetinga,2019,57074.17749881744 +Mata Atlântica,camamu,6.29,2019,2019/01/24,camamu,2019,221471.44368362427 +Mata Atlântica,belmonte,6.67,2019,2019/03/30,belmonte,2019,390403.1881421805 +Cerrado,jaborandi,159.88,2020,2020/04/03,jaborandi,2020,1744004.154955864 +Caatinga,cotegipe,14.28,2020,2020/01/11,cotegipe,2020,559960.0834841728 +Cerrado,barreiras,1.84,2020,2020/03/29,barreiras,2020,1179766.0970728395 +Cerrado,formosa do rio preto,169.01,2020,2020/02/26,formosa do rio preto,2020,3073766.4334418774 +Cerrado,são desidério,105.18,2020,2020/05/11,são desidério,2020,3091203.197527945 +Cerrado,são desidério,12.41,2020,2020/05/11,são desidério,2020,3091203.197527945 +Mata Atlântica,camamu,14.16,2020,2020/04/16,camamu,2020,434741.3974044919 +Mata Atlântica,camamu,1.65,2020,2020/05/02,camamu,2020,434741.3974044919 +Cerrado,baianópolis,1.03,2020,2020/05/01,baianópolis,2020,790814.9751247168 +Cerrado,são desidério,4.73,2020,2020/05/01,são desidério,2020,3091203.197527945 +Caatinga,santa rita de cássia,72.61,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,16.55,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,226.59,2020,2020/05/23,santa rita de cássia,2020,859509.3606863022 +Cerrado,luís eduardo magalhães,28.99,2020,2020/05/28,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,correntina,293.82,2020,2020/05/28,correntina,2020,1060525.6563282013 +Cerrado,formosa do rio preto,210.99,2020,2020/05/31,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,389.6,2020,2020/05/23,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,78.13,2020,2020/06/06,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,195.43,2020,2020/07/01,riachão das neves,2020,1085054.2665590644 +Caatinga,santa rita de cássia,69.42,2020,2020/07/14,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,8.18,2020,2020/07/01,baianópolis,2020,790814.9751247168 +Cerrado,santa rita de cássia,34.49,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,40.91,2020,2020/08/29,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,1.04,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,camamu,1.01,2020,2020/09/08,camamu,2020,434741.3974044919 +Cerrado,riachão das neves,29.12,2020,2020/09/21,riachão das neves,2020,1085054.2665590644 +Cerrado,riachão das neves,5.52,2020,2020/09/24,riachão das neves,2020,1085054.2665590644 +Caatinga,cocos,29.02,2020,2020/10/14,cocos,2020,1218387.32458961 +Cerrado,são desidério,136.55,2020,2020/10/20,são desidério,2020,3091203.197527945 +Cerrado,cocos,3.07,2020,2020/10/01,cocos,2020,1218387.32458961 +Cerrado,cotegipe,12.54,2020,2020/11/24,cotegipe,2020,559960.0834841728 +Mata Atlântica,nilo peçanha,1.59,2020,2020/12/12,nilo peçanha,2020,154625.95725762844 +Caatinga,barra,9.42,2020,2020/12/23,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,2.46,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,maraú,1.28,2021,2021/02/06,maraú,2021,103211.31101250648 +Mata Atlântica,dário meira,4.64,2021,2021/02/14,dário meira,2021,101797.88742160796 +Mata Atlântica,ilhéus,1.37,2021,2021/03/11,ilhéus,2021,131715.1359180212 +Caatinga,santa rita de cássia,11.73,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 +Cerrado,cocos,206.49,2021,2021/03/19,cocos,2021,1229644.9681953788 +Cerrado,jaborandi,42.75,2021,2021/03/25,jaborandi,2021,2051920.940728784 +Cerrado,santa rita de cássia,50.43,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 +Cerrado,barreiras,1.19,2021,2021/01/01,barreiras,2021,958306.347179532 +Cerrado,barreiras,13.54,2021,2021/01/01,barreiras,2021,958306.347179532 +Cerrado,riachão das neves,3.49,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Cerrado,riachão das neves,11.33,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Cerrado,baianópolis,8.81,2021,2021/01/01,baianópolis,2021,1700892.2622466087 +Cerrado,são desidério,2.8,2021,2021/01/01,são desidério,2021,3159579.701361537 +Cerrado,riachão das neves,5.01,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Cerrado,são desidério,425.52,2021,2021/03/01,são desidério,2021,3159579.701361537 +Cerrado,baianópolis,14.62,2021,2021/05/16,baianópolis,2021,1700892.2622466087 +Cerrado,santa rita de cássia,43.67,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,2.3,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,0.4,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,6.66,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.53,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.2,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.57,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,cotegipe,3.34,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,barra,7.79,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,0.78,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.35,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,cotegipe,3.52,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,santa rita de cássia,0.76,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,10.07,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,4.54,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,são desidério,0.7,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,correntina,23.41,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,1.58,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,3.54,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Caatinga,jaborandi,7.95,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,barreiras,4.92,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,1.4,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,4.14,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,0.9,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,riachão das neves,6.99,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,barreiras,6.78,2021,2021/05/01,barreiras,2021,958306.347179532 +Cerrado,riachão das neves,3.02,2021,2021/05/01,riachão das neves,2021,761963.2862440944 +Caatinga,cotegipe,15.93,2021,2021/05/01,cotegipe,2021,292547.2605621815 +Cerrado,barreiras,27.08,2021,2021/08/02,barreiras,2021,958306.347179532 +Mata Atlântica,belmonte,2.94,2021,2021/09/03,belmonte,2021,331485.0170983076 +Mata Atlântica,guaratinga,6.42,2021,2021/09/02,guaratinga,2021,171742.56461274624 +Mata Atlântica,iguaí,3.51,2021,2021/09/18,iguaí,2021,155962.6907043457 +Cerrado,cocos,48.67,2021,2021/09/29,cocos,2021,1229644.9681953788 +Mata Atlântica,belmonte,25.21,2021,2021/10/29,belmonte,2021,331485.0170983076 +Mata Atlântica,itambé,4.52,2021,2021/11/01,itambé,2021,65263.4872546196 +Cerrado,riachão das neves,42.33,2021,2021/09/01,riachão das neves,2021,761963.2862440944 +Caatinga,santa rita de cássia,0.87,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,0.34,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,13.01,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,0.74,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,1.71,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,6.92,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Caatinga,cocos,6.59,2021,2021/10/01,cocos,2021,1229644.9681953788 +Cerrado,santa rita de cássia,25.18,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,santa rita de cássia,103.42,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,baianópolis,107.1,2021,2021/12/01,baianópolis,2021,1700892.2622466087 +Cerrado,barreiras,36.67,2021,2021/05/04,barreiras,2021,958306.347179532 +Cerrado,cocos,199.01,2021,2021/07/07,cocos,2021,1229644.9681953788 +Cerrado,santa rita de cássia,140.91,2021,2021/07/27,santa rita de cássia,2021,998700.5789114236 +Cerrado,são desidério,456.98,2021,2021/01/01,são desidério,2021,3159579.701361537 +Mata Atlântica,dário meira,3.86,2022,2022/02/28,dário meira,2022,217077.0 +Mata Atlântica,itapetinga,15.44,2022,2022/03/31,itapetinga,2022,285382.0 +Mata Atlântica,jequié,4.42,2022,2022/03/31,jequié,2022,498001.0 +Cerrado,baianópolis,141.22,2022,2022/01/22,baianópolis,2022,413632.0 +Cerrado,formosa do rio preto,11.51,2022,2022/05/29,formosa do rio preto,2022,2432263.0 +Caatinga,santa rita de cássia,80.25,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,3.41,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,4.02,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,formosa do rio preto,271.3,2022,2022/02/01,formosa do rio preto,2022,2432263.0 +Cerrado,santa rita de cássia,6.62,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,4.41,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Cerrado,baianópolis,6.53,2022,2022/08/04,baianópolis,2022,413632.0 +Cerrado,correntina,146.07,2022,2022/09/06,correntina,2022,1473135.0 +Cerrado,formosa do rio preto,544.98,2019,2019/09/14,formosa do rio preto,2019,4220327.0016454905 +Cerrado,riachão das neves,10.29,2019,2019/09/20,riachão das neves,2019,580173.0040331781 +Cerrado,cocos,37.3,2019,2019/10/28,cocos,2019,959394.147064954 +Cerrado,baianópolis,31.86,2019,2019/11/02,baianópolis,2019,607436.7982445955 +Mata Atlântica,itambé,19.45,2019,2019/10/31,itambé,2019,100107.73387336732 +Cerrado,cocos,27.88,2019,2019/12/16,cocos,2019,959394.147064954 +Caatinga,cocos,97.39,2019,2019/12/27,cocos,2019,959394.147064954 +Cerrado,formosa do rio preto,5.92,2019,2019/06/08,formosa do rio preto,2019,4220327.0016454905 +Cerrado,baianópolis,45.84,2019,2019/04/17,baianópolis,2019,607436.7982445955 +Cerrado,cocos,172.61,2019,2019/05/19,cocos,2019,959394.147064954 +Cerrado,formosa do rio preto,973.28,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 +Cerrado,formosa do rio preto,26.04,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 +Caatinga,santa rita de cássia,5.52,2019,2019/05/07,santa rita de cássia,2019,694797.0868461728 +Cerrado,formosa do rio preto,11.47,2019,2019/04/23,formosa do rio preto,2019,4220327.0016454905 +Caatinga,cotegipe,18.85,2019,2019/08/08,cotegipe,2019,331163.8086628318 +Caatinga,santa rita de cássia,5.28,2019,2019/03/31,santa rita de cássia,2019,694797.0868461728 +Cerrado,riachão das neves,3.99,2019,2019/08/08,riachão das neves,2019,580173.0040331781 +Cerrado,barreiras,110.84,2019,2019/06/02,barreiras,2019,1568927.0175619423 +Cerrado,santa rita de cássia,50.87,2019,2019/06/11,santa rita de cássia,2019,694797.0868461728 +Mata Atlântica,jequié,2.56,2019,2019/02/25,jequié,2019,249169.2120203972 +Mata Atlântica,guaratinga,1.37,2019,2019/08/20,guaratinga,2019,211708.01093423367 +Cerrado,barreiras,4.8,2020,2020/04/21,barreiras,2020,1179766.0970728395 +Cerrado,são desidério,1291.53,2020,2020/01/31,são desidério,2020,3091203.197527945 +Cerrado,riachão das neves,458.81,2020,2020/05/28,riachão das neves,2020,1085054.2665590644 +Cerrado,formosa do rio preto,18.14,2020,2020/07/25,formosa do rio preto,2020,3073766.4334418774 +Cerrado,baianópolis,6.96,2020,2020/07/01,baianópolis,2020,790814.9751247168 +Mata Atlântica,camamu,5.58,2020,2020/08/31,camamu,2020,434741.3974044919 +Cerrado,cocos,26.03,2020,2020/08/01,cocos,2020,1218387.32458961 +Caatinga,santa rita de cássia,76.85,2020,2020/08/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,7.4,2020,2020/09/01,são desidério,2020,3091203.197527945 +Caatinga,jaborandi,3.52,2020,2020/09/01,jaborandi,2020,1744004.154955864 +Caatinga,cotegipe,11.83,2020,2020/09/04,cotegipe,2020,559960.0834841728 +Mata Atlântica,valença,3.19,2020,2020/10/09,valença,2020,427637.707020998 +Mata Atlântica,maraú,1.88,2020,2020/11/10,maraú,2020,170126.90513539314 +Cerrado,baianópolis,3.44,2020,2020/11/24,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,13.58,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,37.67,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,belmonte,6.7,2020,2020/12/13,belmonte,2020,350558.8480718136 +Caatinga,barra,8.94,2021,2021/01/23,barra,2021,79058.81857037544 +Mata Atlântica,valença,1.66,2021,2021/02/06,valença,2021,195332.51262283325 +Mata Atlântica,itagibá,0.88,2021,2021/02/22,itagibá,2021,111453.28504517674 +Mata Atlântica,dário meira,0.86,2021,2021/02/22,dário meira,2021,101797.88742160796 +Cerrado,jaborandi,150.75,2021,2021/03/13,jaborandi,2021,2051920.940728784 +Caatinga,correntina,5.98,2021,2021/03/13,correntina,2021,1585476.3940644264 +Cerrado,baianópolis,13.49,2021,2021/03/13,baianópolis,2021,1700892.2622466087 +Mata Atlântica,itambé,3.36,2021,2021/03/10,itambé,2021,65263.4872546196 +Mata Atlântica,valença,1.8,2021,2021/04/27,valença,2021,195332.51262283325 +Cerrado,luís eduardo magalhães,104.44,2021,2021/05/04,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,são desidério,1.45,2021,2021/01/01,são desidério,2021,3159579.701361537 +Cerrado,formosa do rio preto,417.24,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 +Caatinga,barra,36.71,2021,2021/03/01,barra,2021,79058.81857037544 +Cerrado,jaborandi,431.67,2021,2021/05/27,jaborandi,2021,2051920.940728784 +Caatinga,barra,4.35,2021,2021/05/28,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,5.44,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,3.69,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,luís eduardo magalhães,1.14,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,são desidério,1.16,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,barra,5.04,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,3.58,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,6.54,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,4.51,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,1.74,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,são desidério,2.1,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,8.8,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,santa rita de cássia,1.16,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,1.36,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,5.57,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,7.48,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,luís eduardo magalhães,13.59,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,formosa do rio preto,0.81,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,3.94,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,7.77,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,67.25,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Caatinga,santa rita de cássia,0.79,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,2.33,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,jaborandi,4.14,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Caatinga,barra,1.22,2021,2021/05/01,barra,2021,79058.81857037544 +Cerrado,santa rita de cássia,302.89,2021,2021/07/04,santa rita de cássia,2021,998700.5789114236 +Cerrado,jaborandi,39.72,2021,2021/08/02,jaborandi,2021,2051920.940728784 +Cerrado,correntina,155.66,2021,2021/08/22,correntina,2021,1585476.3940644264 +Cerrado,santa rita de cássia,27.39,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,valença,3.11,2021,2021/09/18,valença,2021,195332.51262283325 +Cerrado,baianópolis,9.28,2021,2021/09/26,baianópolis,2021,1700892.2622466087 +Cerrado,santa rita de cássia,4.07,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 +Cerrado,são desidério,153.12,2021,2021/10/10,são desidério,2021,3159579.701361537 +Caatinga,santa rita de cássia,10.57,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,40.47,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,baianópolis,6.27,2021,2021/12/01,baianópolis,2021,1700892.2622466087 +Cerrado,formosa do rio preto,1073.03,2021,2021/06/14,formosa do rio preto,2021,2299737.8741800785 +Cerrado,cocos,443.54,2021,2021/07/07,cocos,2021,1229644.9681953788 +Caatinga,cotegipe,5.42,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Cerrado,riachão das neves,24.59,2021,2021/11/01,riachão das neves,2021,761963.2862440944 +Mata Atlântica,itambé,6.42,2022,2022/03/31,itambé,2022,227632.0 +Mata Atlântica,itagibá,0.56,2022,2022/03/31,itagibá,2022,288483.0 +Mata Atlântica,jequié,0.5,2022,2022/03/31,jequié,2022,498001.0 +Cerrado,correntina,20.8,2022,2022/01/19,correntina,2022,1473135.0 +Cerrado,barreiras,27.09,2022,2022/03/30,barreiras,2022,996163.0 +Cerrado,santa rita de cássia,589.8,2022,2022/03/30,santa rita de cássia,2022,569631.0 +Mata Atlântica,maraú,1.4,2022,2022/03/31,maraú,2022,275953.0 +Cerrado,jaborandi,17.94,2022,2022/04/25,jaborandi,2022,1734316.0 +Cerrado,santa rita de cássia,7.56,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,luís eduardo magalhães,58.77,2022,2022/06/10,luís eduardo magalhães,2022,343098.0 +Mata Atlântica,camamu,0.39,2022,2022/06/30,camamu,2022,232571.0 +Cerrado,riachão das neves,20.08,2022,2022/03/01,riachão das neves,2022,670183.0 +Cerrado,santa rita de cássia,23.65,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Cerrado,luís eduardo magalhães,259.74,2022,2022/03/01,luís eduardo magalhães,2022,343098.0 +Cerrado,barreiras,0.5,2022,2022/03/01,barreiras,2022,996163.0 +Cerrado,correntina,361.37,2022,2022/07/17,correntina,2022,1473135.0 +Cerrado,formosa do rio preto,59.81,2022,2022/08/04,formosa do rio preto,2022,2432263.0 +Caatinga,barra,0.79,2022,2022/04/01,barra,2022,312169.0 +Caatinga,barra,1.36,2022,2022/04/01,barra,2022,312169.0 +Mata Atlântica,valença,2.8,2022,2022/07/31,valença,2022,378871.0 +Cerrado,são desidério,105.29,2022,2022/09/03,são desidério,2022,2729422.0 +Mata Atlântica,itagibá,8.49,2019,2019/06/01,itagibá,2019,121675.55451917648 +Cerrado,santa rita de cássia,4.81,2019,2019/10/02,santa rita de cássia,2019,694797.0868461728 +Cerrado,cocos,10.33,2019,2019/10/31,cocos,2019,959394.147064954 +Mata Atlântica,valença,3.3,2019,2019/11/24,valença,2019,247673.75340151787 +Caatinga,cotegipe,10.88,2019,2019/11/23,cotegipe,2019,331163.8086628318 +Cerrado,barreiras,111.73,2019,2019/03/16,barreiras,2019,1568927.0175619423 +Cerrado,santa rita de cássia,47.9,2019,2019/04/26,santa rita de cássia,2019,694797.0868461728 +Cerrado,são desidério,181.23,2019,2019/03/09,são desidério,2019,2024107.6610826247 +Cerrado,baianópolis,17.55,2019,2019/08/02,baianópolis,2019,607436.7982445955 +Cerrado,barreiras,92.57,2019,2019/06/08,barreiras,2019,1568927.0175619423 +Cerrado,santa rita de cássia,6.09,2019,2019/02/21,santa rita de cássia,2019,694797.0868461728 +Cerrado,barreiras,43.33,2019,2019/07/13,barreiras,2019,1568927.0175619423 +Cerrado,baianópolis,49.25,2019,2019/01/29,baianópolis,2019,607436.7982445955 +Mata Atlântica,encruzilhada,2.0,2019,2019/04/29,encruzilhada,2019,403895.9177992344 +Mata Atlântica,belmonte,2.8,2019,2019/05/25,belmonte,2019,390403.1881421805 +Mata Atlântica,ilhéus,4.4,2019,2019/03/29,ilhéus,2019,158872.06799983978 +Mata Atlântica,dário meira,11.38,2019,2019/01/08,dário meira,2019,94401.96469908953 +Cerrado,barreiras,32.42,2020,2020/02/26,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,31.12,2020,2020/05/05,barreiras,2020,1179766.0970728395 +Mata Atlântica,igrapiúna,1.48,2020,2020/02/12,igrapiúna,2020,378236.5840551853 +Mata Atlântica,ibirapitanga,1.24,2020,2020/02/20,ibirapitanga,2020,296362.889919281 +Mata Atlântica,itagibá,32.04,2020,2020/02/12,itagibá,2020,72102.08046793938 +Cerrado,riachão das neves,59.28,2020,2020/06/01,riachão das neves,2020,1085054.2665590644 +Caatinga,jaborandi,11.45,2020,2020/06/01,jaborandi,2020,1744004.154955864 +Caatinga,santa rita de cássia,25.52,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,28.09,2020,2020/06/20,barreiras,2020,1179766.0970728395 +Cerrado,correntina,52.49,2020,2020/06/20,correntina,2020,1060525.6563282013 +Caatinga,correntina,3.82,2020,2020/07/01,correntina,2020,1060525.6563282013 +Caatinga,santa rita de cássia,1.5,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,jaborandi,16.65,2020,2020/07/01,jaborandi,2020,1744004.154955864 +Cerrado,riachão das neves,21.45,2020,2020/08/01,riachão das neves,2020,1085054.2665590644 +Cerrado,riachão das neves,3.73,2020,2020/08/01,riachão das neves,2020,1085054.2665590644 +Mata Atlântica,iguaí,3.14,2020,2020/09/01,iguaí,2020,127471.2907333374 +Cerrado,baianópolis,7.44,2020,2020/09/30,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,4.35,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,33.7,2020,2020/11/12,cocos,2020,1218387.32458961 +Cerrado,são desidério,202.68,2020,2020/12/14,são desidério,2020,3091203.197527945 +Cerrado,luís eduardo magalhães,47.41,2020,2020/12/14,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,santa rita de cássia,11.62,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,valença,2.29,2020,2020/12/12,valença,2020,427637.707020998 +Mata Atlântica,dário meira,3.79,2020,2020/12/12,dário meira,2020,92504.77269613744 +Cerrado,riachão das neves,9.24,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 +Caatinga,jaborandi,28.38,2021,2021/01/20,jaborandi,2021,2051920.940728784 +Cerrado,cocos,9.77,2021,2021/02/01,cocos,2021,1229644.9681953788 +Cerrado,baianópolis,6.77,2021,2021/02/01,baianópolis,2021,1700892.2622466087 +Cerrado,formosa do rio preto,16.27,2021,2021/02/01,formosa do rio preto,2021,2299737.8741800785 +Cerrado,barreiras,54.95,2021,2021/03/22,barreiras,2021,958306.347179532 +Mata Atlântica,valença,5.08,2021,2021/03/26,valença,2021,195332.51262283325 +Cerrado,cocos,173.04,2021,2021/03/25,cocos,2021,1229644.9681953788 +Mata Atlântica,belmonte,1.36,2021,2021/04/12,belmonte,2021,331485.0170983076 +Mata Atlântica,belmonte,7.51,2021,2021/04/28,belmonte,2021,331485.0170983076 +Caatinga,santa rita de cássia,4.66,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,santa rita de cássia,8.73,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,santa rita de cássia,6.66,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,correntina,1.05,2021,2021/01/01,correntina,2021,1585476.3940644264 +Caatinga,barra,3.26,2021,2021/03/01,barra,2021,79058.81857037544 +Cerrado,são desidério,17.32,2021,2021/03/01,são desidério,2021,3159579.701361537 +Cerrado,santa rita de cássia,1.7,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,cocos,0.98,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,são desidério,7.93,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,1.09,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,barra,2.08,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,3.2,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,0.64,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,6.73,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,2.09,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,5.25,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,3.97,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,5.68,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,6.53,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,4.6,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,barra,1.78,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,cotegipe,2.71,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,são desidério,0.41,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,correntina,4.65,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,0.86,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,correntina,1.83,2020,2020/01/01,correntina,2020,1060525.6563282013 +Caatinga,barra,1.49,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,riachão das neves,9.87,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,riachão das neves,2.3,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,luís eduardo magalhães,20.77,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,formosa do rio preto,1.24,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,3.02,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cocos,3.44,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,cocos,7.68,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,cocos,3.99,2020,2020/01/01,cocos,2020,1218387.32458961 +Caatinga,cocos,2.44,2020,2020/01/01,cocos,2020,1218387.32458961 +Mata Atlântica,ilhéus,3.39,2021,2021/07/08,ilhéus,2021,131715.1359180212 +Cerrado,santa rita de cássia,7.88,2021,2021/07/04,santa rita de cássia,2021,998700.5789114236 +Cerrado,são desidério,8.96,2021,2021/07/13,são desidério,2021,3159579.701361537 +Cerrado,correntina,151.92,2021,2021/07/21,correntina,2021,1585476.3940644264 +Cerrado,são desidério,186.23,2021,2021/07/18,são desidério,2021,3159579.701361537 +Cerrado,formosa do rio preto,12.12,2021,2021/08/13,formosa do rio preto,2021,2299737.8741800785 +Cerrado,barreiras,68.67,2021,2021/07/01,barreiras,2021,958306.347179532 +Cerrado,santa rita de cássia,66.25,2021,2021/09/17,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,7.47,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,encruzilhada,3.31,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Mata Atlântica,itapetinga,33.17,2021,2021/11/01,itapetinga,2021,20727.768303871155 +Mata Atlântica,iguaí,4.9,2021,2021/11/29,iguaí,2021,155962.6907043457 +Cerrado,riachão das neves,7.17,2021,2021/09/01,riachão das neves,2021,761963.2862440944 +Caatinga,santa rita de cássia,1.9,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,6.23,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,riachão das neves,13.6,2021,2021/11/01,riachão das neves,2021,761963.2862440944 +Caatinga,barra,4.24,2021,2021/11/01,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,3.94,2021,2021/03/05,santa rita de cássia,2021,998700.5789114236 +Cerrado,baianópolis,1.2,2021,2021/04/01,baianópolis,2021,1700892.2622466087 +Mata Atlântica,jequié,0.82,2022,2022/02/28,jequié,2022,498001.0 +Mata Atlântica,iguaí,4.87,2022,2022/03/31,iguaí,2022,277970.0 +Cerrado,jaborandi,1457.14,2022,2022/02/03,jaborandi,2022,1734316.0 +Cerrado,são desidério,12.01,2022,2022/02/23,são desidério,2022,2729422.0 +Caatinga,cotegipe,21.29,2022,2022/02/01,cotegipe,2022,297663.0 +Cerrado,riachão das neves,10.95,2022,2022/02/01,riachão das neves,2022,670183.0 +Cerrado,barreiras,490.32,2022,2022/06/07,barreiras,2022,996163.0 +Mata Atlântica,camamu,0.61,2022,2022/06/30,camamu,2022,232571.0 +Mata Atlântica,camamu,0.79,2022,2022/06/30,camamu,2022,232571.0 +Cerrado,riachão das neves,8.53,2022,2022/03/01,riachão das neves,2022,670183.0 +Caatinga,barra,2.81,2022,2022/03/01,barra,2022,312169.0 +Cerrado,são desidério,1.81,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,são desidério,54.8,2022,2022/08/04,são desidério,2022,2729422.0 +Cerrado,santa rita de cássia,2.17,2022,2022/08/22,santa rita de cássia,2022,569631.0 +Cerrado,baianópolis,25.86,2022,2022/08/02,baianópolis,2022,413632.0 +Caatinga,barra,0.49,2022,2022/04/01,barra,2022,312169.0 +Mata Atlântica,igrapiúna,1.12,2022,2022/07/31,igrapiúna,2022,210971.0 +Mata Atlântica,camamu,0.72,2022,2022/07/31,camamu,2022,232571.0 +Caatinga,santa rita de cássia,12.29,2022,2022/06/01,santa rita de cássia,2022,569631.0 +Cerrado,são desidério,14.77,2019,2019/09/20,são desidério,2019,2024107.6610826247 +Caatinga,cocos,3.4,2019,2019/10/16,cocos,2019,959394.147064954 +Mata Atlântica,itagibá,4.24,2019,2019/11/24,itagibá,2019,121675.55451917648 +Cerrado,riachão das neves,128.43,2019,2019/12/16,riachão das neves,2019,580173.0040331781 +Cerrado,baianópolis,11.71,2019,2019/09/09,baianópolis,2019,607436.7982445955 +Cerrado,formosa do rio preto,624.93,2019,2019/05/27,formosa do rio preto,2019,4220327.0016454905 +Cerrado,correntina,2.17,2019,2019/01/06,correntina,2019,1545572.943816781 +Cerrado,riachão das neves,25.23,2019,2019/02/04,riachão das neves,2019,580173.0040331781 +Cerrado,jaborandi,109.17,2019,2019/05/19,jaborandi,2019,1706967.7386553884 +Cerrado,baianópolis,1.76,2019,2019/08/02,baianópolis,2019,607436.7982445955 +Cerrado,baianópolis,6.93,2019,2019/08/02,baianópolis,2019,607436.7982445955 +Cerrado,baianópolis,5.49,2019,2019/06/08,baianópolis,2019,607436.7982445955 +Cerrado,baianópolis,1.91,2019,2019/08/02,baianópolis,2019,607436.7982445955 +Cerrado,santa rita de cássia,13.25,2019,2019/08/02,santa rita de cássia,2019,694797.0868461728 +Mata Atlântica,ilhéus,6.73,2019,2019/06/01,ilhéus,2019,158872.06799983978 +Cerrado,correntina,291.79,2020,2020/04/03,correntina,2020,1060525.6563282013 +Cerrado,luís eduardo magalhães,21.65,2020,2020/04/29,luís eduardo magalhães,2020,1523413.1056941748 +Caatinga,santa rita de cássia,2.02,2020,2020/01/11,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,17.27,2020,2020/01/31,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,33.22,2020,2020/03/29,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,387.69,2020,2020/04/29,formosa do rio preto,2020,3073766.4334418774 +Mata Atlântica,camamu,5.51,2020,2020/04/16,camamu,2020,434741.3974044919 +Mata Atlântica,belmonte,12.81,2020,2020/05/03,belmonte,2020,350558.8480718136 +Mata Atlântica,belmonte,1.53,2020,2020/02/29,belmonte,2020,350558.8480718136 +Mata Atlântica,igrapiúna,1.11,2020,2020/02/12,igrapiúna,2020,378236.5840551853 +Cerrado,correntina,92.38,2020,2020/06/01,correntina,2020,1060525.6563282013 +Cerrado,barreiras,777.83,2020,2020/06/01,barreiras,2020,1179766.0970728395 +Cerrado,são desidério,155.32,2020,2020/06/01,são desidério,2020,3091203.197527945 +Cerrado,jaborandi,4.73,2020,2020/06/01,jaborandi,2020,1744004.154955864 +Cerrado,baianópolis,169.81,2020,2020/06/01,baianópolis,2020,790814.9751247168 +Mata Atlântica,valença,0.99,2020,2020/06/19,valença,2020,427637.707020998 +Cerrado,são desidério,45.4,2020,2020/05/31,são desidério,2020,3091203.197527945 +Cerrado,riachão das neves,115.82,2020,2020/06/20,riachão das neves,2020,1085054.2665590644 +Cerrado,baianópolis,250.93,2020,2020/07/08,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,20.28,2020,2020/05/28,baianópolis,2020,790814.9751247168 +Cerrado,barreiras,18.65,2020,2020/06/06,barreiras,2020,1179766.0970728395 +Cerrado,baianópolis,34.1,2020,2020/07/22,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,10.53,2020,2020/07/28,baianópolis,2020,790814.9751247168 +Caatinga,correntina,11.82,2020,2020/08/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,183.28,2020,2020/08/29,baianópolis,2020,790814.9751247168 +Cerrado,jaborandi,3.26,2020,2020/09/01,jaborandi,2020,1744004.154955864 +Mata Atlântica,ilhéus,0.35,2020,2020/09/08,ilhéus,2020,191205.86366391185 +Mata Atlântica,dário meira,7.17,2020,2020/09/15,dário meira,2020,92504.77269613744 +Caatinga,santa rita de cássia,10.23,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,12.2,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,valença,2.29,2020,2020/10/09,valença,2020,427637.707020998 +Cerrado,são desidério,7.14,2020,2020/10/14,são desidério,2020,3091203.197527945 +Cerrado,luís eduardo magalhães,103.73,2020,2020/10/20,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,santa rita de cássia,11.66,2020,2020/10/26,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,4.3,2020,2020/10/01,cocos,2020,1218387.32458961 +Caatinga,correntina,2.4,2020,2020/10/01,correntina,2020,1060525.6563282013 +Caatinga,santa rita de cássia,10.54,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,16.13,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,luís eduardo magalhães,51.05,2020,2020/12/31,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,riachão das neves,1.75,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 +Cerrado,riachão das neves,2.52,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 +Cerrado,são desidério,55.84,2020,2020/12/01,são desidério,2020,3091203.197527945 +Caatinga,cotegipe,13.23,2021,2021/01/23,cotegipe,2021,292547.2605621815 +Mata Atlântica,nilo peçanha,3.96,2021,2021/02/15,nilo peçanha,2021,59568.41939795017 +Mata Atlântica,camamu,1.12,2021,2021/02/22,camamu,2021,163548.15982496738 +Cerrado,jaborandi,416.31,2021,2021/03/22,jaborandi,2021,2051920.940728784 +Cerrado,formosa do rio preto,14.63,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,ilhéus,3.01,2021,2021/03/26,ilhéus,2021,131715.1359180212 +Cerrado,santa rita de cássia,20.28,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 +Cerrado,barreiras,6.56,2021,2021/03/22,barreiras,2021,958306.347179532 +Cerrado,cocos,2414.17,2021,2021/03/31,cocos,2021,1229644.9681953788 +Mata Atlântica,belmonte,6.84,2021,2021/04/12,belmonte,2021,331485.0170983076 +Cerrado,formosa do rio preto,63.68,2021,2021/05/04,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,ibirapitanga,1.48,2021,2021/05/13,ibirapitanga,2021,72436.60405349731 +Caatinga,barra,1.59,2021,2021/01/01,barra,2021,79058.81857037544 +Cerrado,são desidério,10.47,2021,2021/01/01,são desidério,2021,3159579.701361537 +Cerrado,correntina,1.59,2021,2021/01/01,correntina,2021,1585476.3940644264 +Cerrado,riachão das neves,12.58,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Cerrado,riachão das neves,113.35,2021,2021/03/01,riachão das neves,2021,761963.2862440944 +Mata Atlântica,ilhéus,12.06,2021,2021/05/21,ilhéus,2021,131715.1359180212 +Caatinga,santa rita de cássia,1.19,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,6.04,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,barreiras,47.05,2021,2021/04/01,barreiras,2021,958306.347179532 +Caatinga,santa rita de cássia,4.39,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,10.08,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,são desidério,3.39,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,4.07,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,barra,1.78,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,0.65,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,1.86,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,1.6,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,baianópolis,3.98,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,santa rita de cássia,2.75,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,3.76,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,cocos,4.31,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,santa rita de cássia,1.65,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,2.85,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cocos,5.3,2020,2020/01/01,cocos,2020,1218387.32458961 +Caatinga,correntina,2.94,2021,2021/05/01,correntina,2021,1585476.3940644264 +Cerrado,santa rita de cássia,12.85,2021,2021/07/04,santa rita de cássia,2021,998700.5789114236 +Cerrado,luís eduardo magalhães,3.61,2021,2021/08/02,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,barreiras,20.72,2021,2021/08/02,barreiras,2021,958306.347179532 +Cerrado,barreiras,51.45,2021,2021/08/31,barreiras,2021,958306.347179532 +Cerrado,riachão das neves,10.02,2021,2021/07/01,riachão das neves,2021,761963.2862440944 +Cerrado,são desidério,26.81,2021,2021/09/26,são desidério,2021,3159579.701361537 +Mata Atlântica,encruzilhada,18.02,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Mata Atlântica,ilhéus,2.71,2021,2021/11/29,ilhéus,2021,131715.1359180212 +Mata Atlântica,ilhéus,5.48,2021,2021/11/21,ilhéus,2021,131715.1359180212 +Caatinga,jequié,26.42,2021,2021/09/01,jequié,2021,163926.43447589874 +Cerrado,baianópolis,19.56,2021,2021/10/01,baianópolis,2021,1700892.2622466087 +Cerrado,riachão das neves,20.96,2021,2021/11/01,riachão das neves,2021,761963.2862440944 +Cerrado,santa rita de cássia,3.72,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,5.12,2021,2021/12/01,cotegipe,2021,292547.2605621815 +Mata Atlântica,itarantim,4.82,2022,2022/03/31,itarantim,2022,203154.0 +Mata Atlântica,itapetinga,1.21,2022,2022/03/31,itapetinga,2022,285382.0 +Cerrado,barreiras,337.11,2022,2022/02/03,barreiras,2022,996163.0 +Cerrado,jaborandi,82.7,2022,2022/03/21,jaborandi,2022,1734316.0 +Cerrado,são desidério,65.45,2022,2022/03/24,são desidério,2022,2729422.0 +Cerrado,correntina,1174.8,2022,2022/05/21,correntina,2022,1473135.0 +Cerrado,formosa do rio preto,10.14,2022,2022/05/29,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,25.31,2022,2022/05/29,formosa do rio preto,2022,2432263.0 +Cerrado,luís eduardo magalhães,20.4,2022,2022/05/06,luís eduardo magalhães,2022,343098.0 +Caatinga,santa rita de cássia,10.22,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,6.46,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,riachão das neves,86.1,2022,2022/06/04,riachão das neves,2022,670183.0 +Cerrado,jaborandi,105.93,2022,2022/06/08,jaborandi,2022,1734316.0 +Mata Atlântica,nilo peçanha,0.96,2022,2022/06/30,nilo peçanha,2022,238334.0 +Cerrado,jaborandi,9.88,2022,2022/03/01,jaborandi,2022,1734316.0 +Cerrado,riachão das neves,5.8,2022,2022/03/01,riachão das neves,2022,670183.0 +Cerrado,barreiras,2.08,2022,2022/03/01,barreiras,2022,996163.0 +Cerrado,formosa do rio preto,19.92,2022,2022/03/01,formosa do rio preto,2022,2432263.0 +Cerrado,santa rita de cássia,11.13,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Cerrado,correntina,135.62,2022,2022/08/12,correntina,2022,1473135.0 +Cerrado,baianópolis,13.53,2022,2022/09/16,baianópolis,2022,413632.0 +Mata Atlântica,ibirapitanga,2.29,2019,2019/11/08,ibirapitanga,2019,86205.62920188904 +Cerrado,riachão das neves,27.4,2019,2019/09/20,riachão das neves,2019,580173.0040331781 +Cerrado,baianópolis,61.06,2019,2019/10/02,baianópolis,2019,607436.7982445955 +Mata Atlântica,itagibá,5.92,2019,2019/11/08,itagibá,2019,121675.55451917648 +Cerrado,formosa do rio preto,337.37,2019,2019/01/20,formosa do rio preto,2019,4220327.0016454905 +Cerrado,barreiras,352.89,2019,2019/02/21,barreiras,2019,1568927.0175619423 +Cerrado,formosa do rio preto,7.12,2019,2019/01/29,formosa do rio preto,2019,4220327.0016454905 +Cerrado,baianópolis,24.01,2019,2019/02/15,baianópolis,2019,607436.7982445955 +Cerrado,santa rita de cássia,166.5,2019,2019/01/17,santa rita de cássia,2019,694797.0868461728 +Cerrado,formosa do rio preto,337.07,2019,2019/02/04,formosa do rio preto,2019,4220327.0016454905 +Caatinga,cotegipe,11.87,2019,2019/02/01,cotegipe,2019,331163.8086628318 +Cerrado,riachão das neves,31.83,2019,2019/04/17,riachão das neves,2019,580173.0040331781 +Cerrado,luís eduardo magalhães,339.17,2019,2019/04/17,luís eduardo magalhães,2019,800435.7103590965 +Mata Atlântica,ibirapitanga,2.04,2019,2019/04/22,ibirapitanga,2019,86205.62920188904 +Cerrado,jaborandi,4.34,2020,2020/04/30,jaborandi,2020,1744004.154955864 +Cerrado,são desidério,270.41,2020,2020/01/31,são desidério,2020,3091203.197527945 +Cerrado,jaborandi,1403.39,2020,2020/04/21,jaborandi,2020,1744004.154955864 +Cerrado,luís eduardo magalhães,188.72,2020,2020/03/29,luís eduardo magalhães,2020,1523413.1056941748 +Mata Atlântica,belmonte,4.59,2020,2020/02/29,belmonte,2020,350558.8480718136 +Caatinga,barra,3.46,2020,2020/05/01,barra,2020,139778.05993533134 +Cerrado,cotegipe,5.44,2020,2020/06/01,cotegipe,2020,559960.0834841728 +Cerrado,barreiras,19.88,2020,2020/06/01,barreiras,2020,1179766.0970728395 +Cerrado,baianópolis,670.41,2020,2020/06/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,18.91,2020,2020/06/09,baianópolis,2020,790814.9751247168 +Cerrado,santa rita de cássia,11.33,2020,2020/07/28,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,2.26,2020,2020/07/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,3.36,2020,2020/07/01,baianópolis,2020,790814.9751247168 +Cerrado,barreiras,27.19,2020,2020/08/01,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,11.03,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,6.33,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 +Caatinga,cocos,5.18,2020,2020/10/01,cocos,2020,1218387.32458961 +Caatinga,santa rita de cássia,3.03,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,itambé,26.13,2020,2020/11/10,itambé,2020,144429.97027254105 +Cerrado,baianópolis,4.77,2020,2020/11/24,baianópolis,2020,790814.9751247168 +Cerrado,cotegipe,3.64,2020,2020/11/24,cotegipe,2020,559960.0834841728 +Mata Atlântica,camamu,1.72,2020,2020/12/12,camamu,2020,434741.3974044919 +Mata Atlântica,camamu,1.85,2020,2020/12/12,camamu,2020,434741.3974044919 +Mata Atlântica,dário meira,24.69,2020,2020/12/12,dário meira,2020,92504.77269613744 +Cerrado,riachão das neves,1.87,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 +Caatinga,santa rita de cássia,27.96,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,1.65,2020,2020/12/01,barra,2020,139778.05993533134 +Mata Atlântica,guaratinga,4.79,2021,2021/02/14,guaratinga,2021,171742.56461274624 +Caatinga,jaborandi,10.95,2021,2021/02/01,jaborandi,2021,2051920.940728784 +Caatinga,cotegipe,62.11,2021,2021/02/01,cotegipe,2021,292547.2605621815 +Cerrado,são desidério,241.81,2021,2021/03/05,são desidério,2021,3159579.701361537 +Cerrado,correntina,361.32,2021,2021/03/13,correntina,2021,1585476.3940644264 +Caatinga,cocos,18.49,2021,2021/03/08,cocos,2021,1229644.9681953788 +Mata Atlântica,camamu,1.37,2021,2021/03/10,camamu,2021,163548.15982496738 +Caatinga,santa rita de cássia,5.11,2021,2021/03/06,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,igrapiúna,1.68,2021,2021/04/19,igrapiúna,2021,148621.67436516285 +Mata Atlântica,valença,1.41,2021,2021/04/27,valença,2021,195332.51262283325 +Cerrado,formosa do rio preto,130.16,2021,2021/05/04,formosa do rio preto,2021,2299737.8741800785 +Cerrado,riachão das neves,5.97,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Cerrado,correntina,10.15,2021,2021/01/01,correntina,2021,1585476.3940644264 +Cerrado,baianópolis,5.78,2021,2021/01/01,baianópolis,2021,1700892.2622466087 +Cerrado,são desidério,9.74,2021,2021/03/01,são desidério,2021,3159579.701361537 +Cerrado,luís eduardo magalhães,3.27,2021,2021/03/01,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,formosa do rio preto,1241.5,2021,2021/03/01,formosa do rio preto,2021,2299737.8741800785 +Cerrado,barreiras,101.18,2021,2021/04/01,barreiras,2021,958306.347179532 +Mata Atlântica,ibirapitanga,3.61,2021,2021/06/30,ibirapitanga,2021,72436.60405349731 +Cerrado,são desidério,4.76,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,barra,3.85,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.64,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,2.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,4.1,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,santa rita de cássia,9.23,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,jaborandi,2.24,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,baianópolis,21.88,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,são desidério,8.58,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,correntina,1.37,2020,2020/01/01,correntina,2020,1060525.6563282013 +Caatinga,santa rita de cássia,5.7,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,7.55,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,riachão das neves,1.29,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Caatinga,santa rita de cássia,5.66,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,3.22,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,4.95,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,1.14,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,6.24,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,18.29,2021,2021/05/01,formosa do rio preto,2021,2299737.8741800785 +Caatinga,barra,1.0,2021,2021/05/01,barra,2021,79058.81857037544 +Caatinga,cotegipe,41.08,2021,2021/07/16,cotegipe,2021,292547.2605621815 +Cerrado,barreiras,143.81,2021,2021/07/01,barreiras,2021,958306.347179532 +Mata Atlântica,encruzilhada,75.01,2021,2021/07/16,encruzilhada,2021,587315.3614428043 +Caatinga,jaborandi,13.72,2021,2021/06/01,jaborandi,2021,2051920.940728784 +Cerrado,barreiras,342.55,2021,2021/08/02,barreiras,2021,958306.347179532 +Cerrado,correntina,501.71,2021,2021/09/11,correntina,2021,1585476.3940644264 +Cerrado,riachão das neves,31.28,2021,2021/09/29,riachão das neves,2021,761963.2862440944 +Cerrado,são desidério,30.4,2021,2021/10/25,são desidério,2021,3159579.701361537 +Mata Atlântica,encruzilhada,124.52,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Caatinga,cotegipe,14.07,2021,2021/11/18,cotegipe,2021,292547.2605621815 +Cerrado,são desidério,150.96,2021,2021/11/25,são desidério,2021,3159579.701361537 +Caatinga,cotegipe,2.96,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Caatinga,barra,0.25,2021,2021/09/01,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,2.99,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,6.0,2021,2021/10/01,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,21.29,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,baianópolis,14.14,2021,2021/06/02,baianópolis,2021,1700892.2622466087 +Cerrado,barreiras,5.51,2021,2021/07/07,barreiras,2021,958306.347179532 +Cerrado,são desidério,6.15,2021,2021/01/01,são desidério,2021,3159579.701361537 +Caatinga,santa rita de cássia,6.19,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,luís eduardo magalhães,129.28,2022,2022/02/03,luís eduardo magalhães,2022,343098.0 +Cerrado,correntina,59.7,2022,2022/05/06,correntina,2022,1473135.0 +Cerrado,riachão das neves,1064.31,2022,2022/04/04,riachão das neves,2022,670183.0 +Cerrado,cocos,63.27,2022,2022/04/10,cocos,2022,367625.0 +Cerrado,riachão das neves,218.09,2022,2022/06/07,riachão das neves,2022,670183.0 +Cerrado,baianópolis,13.54,2022,2022/03/01,baianópolis,2022,413632.0 +Cerrado,cocos,1.39,2022,2022/03/01,cocos,2022,367625.0 +Cerrado,são desidério,5.59,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,formosa do rio preto,9.04,2022,2022/03/01,formosa do rio preto,2022,2432263.0 +Cerrado,santa rita de cássia,8.05,2022,2022/08/12,santa rita de cássia,2022,569631.0 +Caatinga,barra,4.35,2022,2022/04/01,barra,2022,312169.0 +Mata Atlântica,valença,1.1,2022,2022/07/31,valença,2022,378871.0 +Mata Atlântica,encruzilhada,7.34,2022,2022/08/31,encruzilhada,2022,414662.0 +Cerrado,são desidério,379.74,2022,2022/09/06,são desidério,2022,2729422.0 +Cerrado,correntina,216.2,2022,2022/09/03,correntina,2022,1473135.0 +Mata Atlântica,encruzilhada,12.63,2019,2019/04/21,encruzilhada,2019,403895.9177992344 +Cerrado,formosa do rio preto,245.57,2019,2019/06/08,formosa do rio preto,2019,4220327.0016454905 +Cerrado,jaborandi,698.01,2019,2019/08/28,jaborandi,2019,1706967.7386553884 +Cerrado,riachão das neves,5.99,2019,2019/09/20,riachão das neves,2019,580173.0040331781 +Cerrado,jaborandi,156.01,2019,2019/10/30,jaborandi,2019,1706967.7386553884 +Cerrado,são desidério,229.13,2019,2019/12/07,são desidério,2019,2024107.6610826247 +Cerrado,baianópolis,15.65,2019,2019/03/16,baianópolis,2019,607436.7982445955 +Cerrado,formosa do rio preto,6.13,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 +Cerrado,santa rita de cássia,8.84,2019,2019/02/01,santa rita de cássia,2019,694797.0868461728 +Cerrado,riachão das neves,29.85,2019,2019/06/25,riachão das neves,2019,580173.0040331781 +Mata Atlântica,itagibá,14.25,2019,2019/02/25,itagibá,2019,121675.55451917648 +Mata Atlântica,encruzilhada,2.88,2019,2019/04/21,encruzilhada,2019,403895.9177992344 +Mata Atlântica,ilhéus,2.53,2019,2019/03/29,ilhéus,2019,158872.06799983978 +Mata Atlântica,igrapiúna,1.21,2019,2019/06/09,igrapiúna,2019,257694.0746061802 +Cerrado,baianópolis,54.98,2020,2020/04/21,baianópolis,2020,790814.9751247168 +Cerrado,barreiras,25.58,2020,2020/03/29,barreiras,2020,1179766.0970728395 +Cerrado,formosa do rio preto,92.06,2020,2020/04/29,formosa do rio preto,2020,3073766.4334418774 +Cerrado,são desidério,1740.08,2020,2020/04/27,são desidério,2020,3091203.197527945 +Mata Atlântica,valença,4.66,2020,2020/04/16,valença,2020,427637.707020998 +Mata Atlântica,igrapiúna,3.12,2020,2020/04/16,igrapiúna,2020,378236.5840551853 +Caatinga,cocos,10.65,2020,2020/06/01,cocos,2020,1218387.32458961 +Cerrado,são desidério,15.26,2020,2020/02/01,são desidério,2020,3091203.197527945 +Mata Atlântica,valença,5.83,2020,2020/06/27,valença,2020,427637.707020998 +Mata Atlântica,encruzilhada,7.46,2020,2020/06/26,encruzilhada,2020,451620.4507952333 +Cerrado,riachão das neves,774.96,2020,2020/05/31,riachão das neves,2020,1085054.2665590644 +Cerrado,barreiras,87.45,2020,2020/06/20,barreiras,2020,1179766.0970728395 +Cerrado,formosa do rio preto,7.74,2020,2020/07/25,formosa do rio preto,2020,3073766.4334418774 +Cerrado,riachão das neves,8.04,2020,2020/07/01,riachão das neves,2020,1085054.2665590644 +Caatinga,jaborandi,5.23,2020,2020/07/01,jaborandi,2020,1744004.154955864 +Cerrado,santa rita de cássia,178.63,2020,2020/08/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,7.23,2020,2020/08/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,31.27,2020,2020/09/21,riachão das neves,2020,1085054.2665590644 +Cerrado,luís eduardo magalhães,383.88,2020,2020/09/21,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,são desidério,9.91,2020,2020/09/01,são desidério,2020,3091203.197527945 +Cerrado,santa rita de cássia,19.31,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,24.76,2020,2020/09/24,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,29.6,2020,2020/09/24,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,17.86,2020,2020/09/30,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,3.95,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,7.47,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,5.61,2020,2020/11/15,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,19.38,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,ibirapitanga,0.98,2021,2021/02/06,ibirapitanga,2021,72436.60405349731 +Cerrado,formosa do rio preto,44.35,2021,2021/02/01,formosa do rio preto,2021,2299737.8741800785 +Cerrado,luís eduardo magalhães,18.81,2021,2021/03/28,luís eduardo magalhães,2021,654262.0002045631 +Mata Atlântica,valença,7.69,2021,2021/04/27,valença,2021,195332.51262283325 +Mata Atlântica,belmonte,25.07,2021,2021/04/27,belmonte,2021,331485.0170983076 +Cerrado,barreiras,8.64,2021,2021/01/01,barreiras,2021,958306.347179532 +Cerrado,riachão das neves,3.08,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Cerrado,riachão das neves,1.7,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Cerrado,baianópolis,17.18,2021,2021/03/01,baianópolis,2021,1700892.2622466087 +Cerrado,formosa do rio preto,1954.57,2021,2021/03/01,formosa do rio preto,2021,2299737.8741800785 +Cerrado,riachão das neves,30.84,2021,2021/05/10,riachão das neves,2021,761963.2862440944 +Caatinga,cotegipe,23.34,2021,2021/05/22,cotegipe,2021,292547.2605621815 +Caatinga,santa rita de cássia,25.45,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,7.53,2021,2021/06/20,cotegipe,2021,292547.2605621815 +Mata Atlântica,belmonte,8.47,2021,2021/06/15,belmonte,2021,331485.0170983076 +Cerrado,formosa do rio preto,3.2,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,correntina,6.19,2020,2020/01/01,correntina,2020,1060525.6563282013 +Caatinga,cotegipe,4.31,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,cotegipe,8.28,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,barra,1.55,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,0.82,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,3.6,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,4.85,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,são desidério,1.71,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,1.84,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,2.9,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,4.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,26.18,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,9.29,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,6.52,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,4.45,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,23.5,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,1.17,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,3.41,2021,2021/06/01,correntina,2021,1585476.3940644264 +Cerrado,barreiras,19.66,2021,2021/08/02,barreiras,2021,958306.347179532 +Mata Atlântica,camamu,5.56,2021,2021/08/10,camamu,2021,163548.15982496738 +Mata Atlântica,jequié,17.1,2021,2021/09/18,jequié,2021,163926.43447589874 +Mata Atlântica,belmonte,6.42,2021,2021/09/01,belmonte,2021,331485.0170983076 +Mata Atlântica,encruzilhada,7.38,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Mata Atlântica,ilhéus,2.04,2021,2021/11/29,ilhéus,2021,131715.1359180212 +Caatinga,santa rita de cássia,4.06,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,1.58,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,2.55,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Caatinga,barra,2.88,2021,2021/09/01,barra,2021,79058.81857037544 +Cerrado,santa rita de cássia,64.58,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,5.2,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,cotegipe,135.74,2021,2021/01/09,cotegipe,2021,292547.2605621815 +Cerrado,barreiras,131.65,2021,2021/03/22,barreiras,2021,958306.347179532 +Cerrado,correntina,0.5,2021,2021/01/01,correntina,2021,1585476.3940644264 +Mata Atlântica,belmonte,5.82,2022,2022/03/31,belmonte,2022,354868.0 +Cerrado,são desidério,98.59,2022,2022/01/22,são desidério,2022,2729422.0 +Cerrado,são desidério,668.75,2022,2022/01/25,são desidério,2022,2729422.0 +Cerrado,luís eduardo magalhães,271.54,2022,2022/02/03,luís eduardo magalhães,2022,343098.0 +Cerrado,luís eduardo magalhães,66.94,2022,2022/02/03,luís eduardo magalhães,2022,343098.0 +Cerrado,jaborandi,31.11,2022,2022/03/27,jaborandi,2022,1734316.0 +Cerrado,são desidério,125.1,2022,2022/05/06,são desidério,2022,2729422.0 +Mata Atlântica,guaratinga,1.54,2022,2022/04/30,guaratinga,2022,243882.0 +Cerrado,cocos,1633.16,2022,2022/06/10,cocos,2022,367625.0 +Cerrado,são desidério,1227.28,2022,2022/06/10,são desidério,2022,2729422.0 +Cerrado,são desidério,334.87,2022,2022/06/13,são desidério,2022,2729422.0 +Mata Atlântica,camamu,0.33,2022,2022/06/30,camamu,2022,232571.0 +Mata Atlântica,valença,0.37,2022,2022/06/30,valença,2022,378871.0 +Cerrado,correntina,1.9,2022,2022/03/01,correntina,2022,1473135.0 +Cerrado,barreiras,4.59,2022,2022/03/01,barreiras,2022,996163.0 +Cerrado,santa rita de cássia,8.84,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Cerrado,são desidério,776.06,2022,2022/08/15,são desidério,2022,2729422.0 +Caatinga,jaborandi,7.14,2022,2022/05/01,jaborandi,2022,1734316.0 +Mata Atlântica,jequié,4.06,2022,2022/07/31,jequié,2022,498001.0 +Cerrado,são desidério,75.13,2022,2022/09/06,são desidério,2022,2729422.0 +Cerrado,correntina,101.68,2022,2022/09/06,correntina,2022,1473135.0 +Cerrado,cocos,52.68,2022,2022/09/01,cocos,2022,367625.0 +Cerrado,cotegipe,140.25,2022,2022/09/26,cotegipe,2022,297663.0 +Mata Atlântica,belmonte,1.11,2019,2019/05/25,belmonte,2019,390403.1881421805 +Cerrado,formosa do rio preto,281.23,2019,2019/11/20,formosa do rio preto,2019,4220327.0016454905 +Cerrado,santa rita de cássia,5.93,2019,2019/10/02,santa rita de cássia,2019,694797.0868461728 +Caatinga,santa rita de cássia,12.42,2019,2019/10/28,santa rita de cássia,2019,694797.0868461728 +Cerrado,santa rita de cássia,78.26,2019,2019/11/23,santa rita de cássia,2019,694797.0868461728 +Cerrado,luís eduardo magalhães,15.7,2019,2019/07/10,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,cocos,1345.06,2019,2019/06/20,cocos,2019,959394.147064954 +Caatinga,cocos,19.12,2019,2019/04/03,cocos,2019,959394.147064954 +Cerrado,barreiras,1.06,2019,2019/04/17,barreiras,2019,1568927.0175619423 +Cerrado,baianópolis,28.82,2019,2019/05/10,baianópolis,2019,607436.7982445955 +Cerrado,são desidério,3.83,2019,2019/04/29,são desidério,2019,2024107.6610826247 +Cerrado,baianópolis,12.28,2019,2019/01/06,baianópolis,2019,607436.7982445955 +Cerrado,formosa do rio preto,1.57,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 +Cerrado,cocos,7.27,2020,2020/01/19,cocos,2020,1218387.32458961 +Cerrado,riachão das neves,19.59,2020,2020/02/26,riachão das neves,2020,1085054.2665590644 +Caatinga,barra,9.27,2020,2020/04/01,barra,2020,139778.05993533134 +Cerrado,são desidério,97.17,2020,2020/05/05,são desidério,2020,3091203.197527945 +Cerrado,são desidério,10.88,2020,2020/05/11,são desidério,2020,3091203.197527945 +Mata Atlântica,nilo peçanha,1.55,2020,2020/04/08,nilo peçanha,2020,154625.95725762844 +Mata Atlântica,valença,1.76,2020,2020/04/16,valença,2020,427637.707020998 +Mata Atlântica,itapetinga,42.58,2020,2020/02/12,itapetinga,2020,46135.12845611572 +Mata Atlântica,dário meira,0.59,2020,2020/04/08,dário meira,2020,92504.77269613744 +Cerrado,baianópolis,104.38,2020,2020/05/01,baianópolis,2020,790814.9751247168 +Mata Atlântica,encruzilhada,32.61,2020,2020/05/01,encruzilhada,2020,451620.4507952333 +Caatinga,santa rita de cássia,8.73,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cotegipe,313.13,2020,2020/05/31,cotegipe,2020,559960.0834841728 +Cerrado,formosa do rio preto,219.14,2020,2020/05/31,formosa do rio preto,2020,3073766.4334418774 +Mata Atlântica,itambé,23.34,2020,2020/07/01,itambé,2020,144429.97027254105 +Caatinga,cocos,16.97,2020,2020/07/01,cocos,2020,1218387.32458961 +Cerrado,jaborandi,22.86,2020,2020/08/01,jaborandi,2020,1744004.154955864 +Cerrado,são desidério,4.59,2020,2020/09/01,são desidério,2020,3091203.197527945 +Cerrado,formosa do rio preto,295.66,2020,2020/09/15,formosa do rio preto,2020,3073766.4334418774 +Cerrado,riachão das neves,104.5,2020,2020/10/08,riachão das neves,2020,1085054.2665590644 +Mata Atlântica,guaratinga,0.95,2020,2020/10/09,guaratinga,2020,251656.63093233109 +Caatinga,cotegipe,11.86,2020,2020/11/24,cotegipe,2020,559960.0834841728 +Cerrado,formosa do rio preto,150.41,2020,2020/12/14,formosa do rio preto,2020,3073766.4334418774 +Caatinga,santa rita de cássia,5.55,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,14.84,2020,2020/12/14,baianópolis,2020,790814.9751247168 +Cerrado,santa rita de cássia,1.14,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,3.56,2020,2020/12/01,cotegipe,2020,559960.0834841728 +Mata Atlântica,itagibá,0.87,2021,2021/01/21,itagibá,2021,111453.28504517674 +Cerrado,cocos,9.71,2021,2021/02/01,cocos,2021,1229644.9681953788 +Mata Atlântica,camamu,6.75,2021,2021/02/06,camamu,2021,163548.15982496738 +Caatinga,barra,1.49,2021,2021/02/01,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,0.54,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,cotegipe,1.51,2021,2021/02/01,cotegipe,2021,292547.2605621815 +Cerrado,jaborandi,34.85,2021,2021/03/13,jaborandi,2021,2051920.940728784 +Caatinga,correntina,21.08,2021,2021/03/13,correntina,2021,1585476.3940644264 +Cerrado,formosa do rio preto,38.95,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Cerrado,barreiras,3.87,2021,2021/03/28,barreiras,2021,958306.347179532 +Cerrado,são desidério,837.18,2021,2021/04/23,são desidério,2021,3159579.701361537 +Mata Atlântica,guaratinga,6.28,2021,2021/04/19,guaratinga,2021,171742.56461274624 +Cerrado,formosa do rio preto,58.17,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 +Cerrado,formosa do rio preto,6.29,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 +Cerrado,riachão das neves,11.75,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Caatinga,barra,61.82,2021,2021/03/01,barra,2021,79058.81857037544 +Caatinga,cotegipe,111.71,2021,2021/03/01,cotegipe,2021,292547.2605621815 +Cerrado,riachão das neves,214.23,2021,2021/05/10,riachão das neves,2021,761963.2862440944 +Cerrado,cocos,39.26,2021,2021/05/25,cocos,2021,1229644.9681953788 +Caatinga,santa rita de cássia,5.41,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,16.82,2021,2021/06/17,santa rita de cássia,2021,998700.5789114236 +Cerrado,são desidério,3.35,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,barra,1.52,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,6.77,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,9.29,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,0.72,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,0.63,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,1.7,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,1.52,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,1.54,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,cotegipe,10.88,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,jaborandi,1.06,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,correntina,0.91,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,3.65,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,são desidério,2.57,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,jaborandi,4.36,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,são desidério,5.48,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,21.31,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,5.49,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,formosa do rio preto,1.93,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,6.99,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,4.6,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,3.73,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,9.26,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,16.0,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,10.9,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,13.25,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,cocos,4.73,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,jaborandi,19.31,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,santa rita de cássia,7.33,2021,2021/07/18,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,1.79,2021,2021/06/01,cotegipe,2021,292547.2605621815 +Mata Atlântica,encruzilhada,1.6,2021,2021/09/09,encruzilhada,2021,587315.3614428043 +Mata Atlântica,encruzilhada,50.91,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Mata Atlântica,encruzilhada,6.95,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Mata Atlântica,itambé,12.27,2021,2021/11/01,itambé,2021,65263.4872546196 +Mata Atlântica,ibirapitanga,0.94,2021,2021/11/21,ibirapitanga,2021,72436.60405349731 +Cerrado,formosa do rio preto,709.13,2021,2021/12/13,formosa do rio preto,2021,2299737.8741800785 +Caatinga,jequié,3.89,2021,2021/09/01,jequié,2021,163926.43447589874 +Caatinga,santa rita de cássia,1.52,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,13.58,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Caatinga,barra,17.53,2021,2021/10/01,barra,2021,79058.81857037544 +Cerrado,santa rita de cássia,187.67,2021,2021/05/22,santa rita de cássia,2021,998700.5789114236 +Cerrado,cocos,7.75,2021,2021/05/04,cocos,2021,1229644.9681953788 +Cerrado,correntina,3.86,2021,2021/05/30,correntina,2021,1585476.3940644264 +Cerrado,correntina,108.44,2021,2021/07/04,correntina,2021,1585476.3940644264 +Mata Atlântica,encruzilhada,0.73,2022,2022/02/28,encruzilhada,2022,414662.0 +Mata Atlântica,itarantim,66.53,2022,2022/03/31,itarantim,2022,203154.0 +Cerrado,formosa do rio preto,30.59,2022,2022/01/22,formosa do rio preto,2022,2432263.0 +Cerrado,luís eduardo magalhães,272.03,2022,2022/03/01,luís eduardo magalhães,2022,343098.0 +Cerrado,formosa do rio preto,193.5,2022,2022/05/06,formosa do rio preto,2022,2432263.0 +Cerrado,santa rita de cássia,17.4,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Caatinga,cotegipe,295.91,2022,2022/02/01,cotegipe,2022,297663.0 +Cerrado,riachão das neves,7.44,2022,2022/02/01,riachão das neves,2022,670183.0 +Mata Atlântica,ilhéus,0.46,2022,2022/06/30,ilhéus,2022,209209.0 +Mata Atlântica,camamu,0.35,2022,2022/06/30,camamu,2022,232571.0 +Caatinga,correntina,27.17,2022,2022/03/01,correntina,2022,1473135.0 +Cerrado,baianópolis,5.63,2022,2022/03/01,baianópolis,2022,413632.0 +Cerrado,jaborandi,6.55,2022,2022/03/01,jaborandi,2022,1734316.0 +Cerrado,riachão das neves,13.62,2022,2022/03/01,riachão das neves,2022,670183.0 +Caatinga,jaborandi,54.65,2022,2022/03/01,jaborandi,2022,1734316.0 +Cerrado,riachão das neves,14.77,2022,2022/03/01,riachão das neves,2022,670183.0 +Cerrado,jaborandi,3067.87,2022,2022/04/01,jaborandi,2022,1734316.0 +Caatinga,barra,0.68,2022,2022/04/01,barra,2022,312169.0 +Caatinga,barra,0.96,2022,2022/04/01,barra,2022,312169.0 +Cerrado,santa rita de cássia,208.16,2022,2022/06/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,47.41,2022,2022/09/06,santa rita de cássia,2022,569631.0 +Cerrado,jaborandi,17.75,2022,2022/09/26,jaborandi,2022,1734316.0 +Cerrado,barreiras,201.27,2022,2022/09/26,barreiras,2022,996163.0 +Cerrado,santa rita de cássia,9.99,2019,2019/11/20,santa rita de cássia,2019,694797.0868461728 +Cerrado,santa rita de cássia,3.58,2019,2019/10/02,santa rita de cássia,2019,694797.0868461728 +Cerrado,jaborandi,12.08,2019,2019/11/08,jaborandi,2019,1706967.7386553884 +Mata Atlântica,ibirapitanga,6.17,2019,2019/11/08,ibirapitanga,2019,86205.62920188904 +Cerrado,riachão das neves,22.72,2019,2019/02/04,riachão das neves,2019,580173.0040331781 +Caatinga,santa rita de cássia,42.27,2019,2019/03/31,santa rita de cássia,2019,694797.0868461728 +Cerrado,baianópolis,5.19,2019,2019/06/20,baianópolis,2019,607436.7982445955 +Cerrado,luís eduardo magalhães,292.14,2019,2019/06/08,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,correntina,382.77,2019,2019/01/23,correntina,2019,1545572.943816781 +Cerrado,correntina,353.03,2019,2019/02/15,correntina,2019,1545572.943816781 +Mata Atlântica,ilhéus,4.67,2019,2019/04/06,ilhéus,2019,158872.06799983978 +Caatinga,santa rita de cássia,16.06,2020,2020/05/14,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,130.61,2020,2020/01/31,são desidério,2020,3091203.197527945 +Cerrado,são desidério,7.6,2020,2020/01/31,são desidério,2020,3091203.197527945 +Cerrado,são desidério,3.67,2020,2020/03/29,são desidério,2020,3091203.197527945 +Cerrado,luís eduardo magalhães,79.08,2020,2020/05/05,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,correntina,2.74,2020,2020/01/08,correntina,2020,1060525.6563282013 +Mata Atlântica,valença,1.9,2020,2020/04/08,valença,2020,427637.707020998 +Mata Atlântica,camamu,1.99,2020,2020/02/04,camamu,2020,434741.3974044919 +Mata Atlântica,belmonte,18.9,2020,2020/02/13,belmonte,2020,350558.8480718136 +Mata Atlântica,encruzilhada,56.01,2020,2020/02/11,encruzilhada,2020,451620.4507952333 +Caatinga,santa rita de cássia,46.02,2020,2020/05/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,14.26,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,8.86,2020,2020/06/01,baianópolis,2020,790814.9751247168 +Mata Atlântica,itapetinga,4.19,2020,2020/06/30,itapetinga,2020,46135.12845611572 +Cerrado,cotegipe,538.74,2020,2020/05/23,cotegipe,2020,559960.0834841728 +Cerrado,riachão das neves,713.14,2020,2020/06/20,riachão das neves,2020,1085054.2665590644 +Cerrado,baianópolis,13.63,2020,2020/07/05,baianópolis,2020,790814.9751247168 +Cerrado,jaborandi,50.81,2020,2020/07/16,jaborandi,2020,1744004.154955864 +Cerrado,jaborandi,34.11,2020,2020/07/19,jaborandi,2020,1744004.154955864 +Cerrado,são desidério,12.95,2020,2020/07/01,são desidério,2020,3091203.197527945 +Caatinga,jequié,2.59,2020,2020/07/01,jequié,2020,186265.72844171524 +Cerrado,são desidério,8.4,2020,2020/07/01,são desidério,2020,3091203.197527945 +Cerrado,riachão das neves,19.91,2020,2020/07/01,riachão das neves,2020,1085054.2665590644 +Cerrado,jaborandi,12.39,2020,2020/07/01,jaborandi,2020,1744004.154955864 +Caatinga,cocos,3.29,2020,2020/07/01,cocos,2020,1218387.32458961 +Cerrado,são desidério,2.01,2020,2020/07/01,são desidério,2020,3091203.197527945 +Mata Atlântica,ilhéus,3.85,2020,2020/07/30,ilhéus,2020,191205.86366391185 +Mata Atlântica,camamu,4.37,2020,2020/07/29,camamu,2020,434741.3974044919 +Caatinga,cocos,22.27,2020,2020/09/01,cocos,2020,1218387.32458961 +Mata Atlântica,valença,2.35,2020,2020/09/15,valença,2020,427637.707020998 +Cerrado,baianópolis,5.01,2020,2020/11/24,baianópolis,2020,790814.9751247168 +Cerrado,correntina,60.95,2020,2020/12/14,correntina,2020,1060525.6563282013 +Mata Atlântica,guaratinga,12.77,2020,2020/12/04,guaratinga,2020,251656.63093233109 +Mata Atlântica,itagibá,10.81,2020,2020/12/12,itagibá,2020,72102.08046793938 +Cerrado,cotegipe,1.69,2020,2020/12/01,cotegipe,2020,559960.0834841728 +Caatinga,santa rita de cássia,2.64,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,4.9,2021,2021/01/23,santa rita de cássia,2021,998700.5789114236 +Cerrado,cocos,2.97,2021,2021/02/01,cocos,2021,1229644.9681953788 +Caatinga,barra,1.64,2021,2021/02/01,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,1.97,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,riachão das neves,14.95,2021,2021/02/01,riachão das neves,2021,761963.2862440944 +Caatinga,jaborandi,9.96,2021,2021/03/13,jaborandi,2021,2051920.940728784 +Cerrado,baianópolis,12.49,2021,2021/03/13,baianópolis,2021,1700892.2622466087 +Cerrado,riachão das neves,29.72,2021,2021/03/05,riachão das neves,2021,761963.2862440944 +Caatinga,santa rita de cássia,51.66,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 +Cerrado,cocos,389.01,2021,2021/04/14,cocos,2021,1229644.9681953788 +Mata Atlântica,camamu,2.29,2021,2021/04/27,camamu,2021,163548.15982496738 +Caatinga,santa rita de cássia,14.55,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 +Cerrado,barreiras,6.16,2021,2021/01/01,barreiras,2021,958306.347179532 +Caatinga,cotegipe,11.92,2021,2021/01/01,cotegipe,2021,292547.2605621815 +Cerrado,santa rita de cássia,4.83,2021,2021/03/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,9.06,2021,2021/03/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,jaborandi,22.14,2021,2021/05/13,jaborandi,2021,2051920.940728784 +Cerrado,luís eduardo magalhães,35.75,2021,2021/05/30,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,formosa do rio preto,272.6,2021,2021/05/27,formosa do rio preto,2021,2299737.8741800785 +Caatinga,santa rita de cássia,2.19,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,2.16,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,luís eduardo magalhães,1.92,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,são desidério,0.85,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,4.33,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,santa rita de cássia,0.57,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,1.6,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.14,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,2.74,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,5.24,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,1.62,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,cotegipe,2.08,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,santa rita de cássia,2.16,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,13.44,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,2.15,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,12.43,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,formosa do rio preto,2.73,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,jaborandi,2.11,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,santa rita de cássia,9.69,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,5.76,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,jaborandi,2.9,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Caatinga,santa rita de cássia,0.4,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,60.82,2021,2021/06/01,barra,2021,79058.81857037544 +Cerrado,correntina,5.7,2021,2021/08/02,correntina,2021,1585476.3940644264 +Mata Atlântica,ilhéus,1.54,2021,2021/09/03,ilhéus,2021,131715.1359180212 +Mata Atlântica,ilhéus,11.84,2021,2021/10/04,ilhéus,2021,131715.1359180212 +Caatinga,santa rita de cássia,5.15,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 +Cerrado,são desidério,52.0,2021,2021/11/17,são desidério,2021,3159579.701361537 +Caatinga,cotegipe,4.71,2021,2021/11/18,cotegipe,2021,292547.2605621815 +Caatinga,santa rita de cássia,20.81,2021,2021/12/07,santa rita de cássia,2021,998700.5789114236 +Cerrado,formosa do rio preto,324.81,2021,2021/12/13,formosa do rio preto,2021,2299737.8741800785 +Caatinga,santa rita de cássia,4.22,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,4.66,2021,2021/09/01,barra,2021,79058.81857037544 +Caatinga,barra,1.63,2021,2021/11/01,barra,2021,79058.81857037544 +Cerrado,barreiras,15.65,2021,2021/01/23,barreiras,2021,958306.347179532 +Cerrado,luís eduardo magalhães,349.29,2021,2021/03/28,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,baianópolis,40.28,2021,2021/05/10,baianópolis,2021,1700892.2622466087 +Cerrado,baianópolis,7.61,2021,2021/07/13,baianópolis,2021,1700892.2622466087 +Mata Atlântica,valença,3.38,2021,2021/06/30,valença,2021,195332.51262283325 +Cerrado,formosa do rio preto,52.47,2021,2021/05/01,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,iguaí,8.15,2022,2022/02/28,iguaí,2022,277970.0 +Cerrado,baianópolis,883.36,2022,2022/01/22,baianópolis,2022,413632.0 +Cerrado,são desidério,155.56,2022,2022/04/25,são desidério,2022,2729422.0 +Cerrado,baianópolis,576.65,2022,2022/06/16,baianópolis,2022,413632.0 +Cerrado,são desidério,73.15,2022,2022/06/13,são desidério,2022,2729422.0 +Cerrado,santa rita de cássia,10.08,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Cerrado,riachão das neves,14.49,2022,2022/03/01,riachão das neves,2022,670183.0 +Cerrado,são desidério,1325.6,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,formosa do rio preto,29.15,2022,2022/08/24,formosa do rio preto,2022,2432263.0 +Caatinga,barra,0.33,2022,2022/04/01,barra,2022,312169.0 +Caatinga,cocos,6.27,2022,2022/05/01,cocos,2022,367625.0 +Mata Atlântica,valença,1.62,2022,2022/07/31,valença,2022,378871.0 +Mata Atlântica,valença,0.78,2022,2022/07/31,valença,2022,378871.0 +Cerrado,luís eduardo magalhães,92.17,2022,2022/09/16,luís eduardo magalhães,2022,343098.0 +Mata Atlântica,ilhéus,2.49,2019,2019/07/03,ilhéus,2019,158872.06799983978 +Cerrado,barreiras,37.88,2019,2019/09/14,barreiras,2019,1568927.0175619423 +Cerrado,formosa do rio preto,0.31,2019,2019/08/28,formosa do rio preto,2019,4220327.0016454905 +Cerrado,riachão das neves,14.78,2019,2019/09/20,riachão das neves,2019,580173.0040331781 +Caatinga,barra,4.3,2019,2019/12/16,barra,2019,226011.0523688793 +Cerrado,santa rita de cássia,9.63,2019,2019/06/02,santa rita de cássia,2019,694797.0868461728 +Cerrado,formosa do rio preto,990.47,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 +Caatinga,santa rita de cássia,72.51,2019,2019/08/25,santa rita de cássia,2019,694797.0868461728 +Cerrado,riachão das neves,25.44,2019,2019/08/08,riachão das neves,2019,580173.0040331781 +Cerrado,barreiras,47.06,2019,2019/02/21,barreiras,2019,1568927.0175619423 +Cerrado,são desidério,4.68,2019,2019/04/17,são desidério,2019,2024107.6610826247 +Cerrado,barreiras,10.65,2019,2019/02/21,barreiras,2019,1568927.0175619423 +Cerrado,são desidério,96.54,2019,2019/04/17,são desidério,2019,2024107.6610826247 +Cerrado,luís eduardo magalhães,233.57,2019,2019/03/16,luís eduardo magalhães,2019,800435.7103590965 +Mata Atlântica,encruzilhada,15.23,2019,2019/01/07,encruzilhada,2019,403895.9177992344 +Mata Atlântica,igrapiúna,29.96,2019,2019/01/08,igrapiúna,2019,257694.0746061802 +Mata Atlântica,belmonte,3.54,2019,2019/01/25,belmonte,2019,390403.1881421805 +Mata Atlântica,dário meira,1.3,2019,2019/01/08,dário meira,2019,94401.96469908953 +Cerrado,são desidério,23.04,2020,2020/04/21,são desidério,2020,3091203.197527945 +Caatinga,santa rita de cássia,9.46,2020,2020/01/31,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,40.77,2020,2020/01/19,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,6.14,2020,2020/01/31,baianópolis,2020,790814.9751247168 +Mata Atlântica,ilhéus,3.3,2020,2020/01/28,ilhéus,2020,191205.86366391185 +Mata Atlântica,iguaí,1.88,2020,2020/01/27,iguaí,2020,127471.2907333374 +Mata Atlântica,encruzilhada,27.83,2020,2020/01/10,encruzilhada,2020,451620.4507952333 +Caatinga,santa rita de cássia,5.48,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,37.57,2020,2020/06/01,cocos,2020,1218387.32458961 +Cerrado,luís eduardo magalhães,9.2,2020,2020/02/01,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,são desidério,333.56,2020,2020/02/01,são desidério,2020,3091203.197527945 +Cerrado,barreiras,44.23,2020,2020/02/01,barreiras,2020,1179766.0970728395 +Caatinga,cotegipe,5.8,2020,2020/02/01,cotegipe,2020,559960.0834841728 +Caatinga,cocos,8.98,2020,2020/06/24,cocos,2020,1218387.32458961 +Cerrado,barreiras,227.45,2020,2020/07/16,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,92.22,2020,2020/07/28,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,16.85,2020,2020/08/29,baianópolis,2020,790814.9751247168 +Caatinga,cocos,20.59,2020,2020/08/01,cocos,2020,1218387.32458961 +Caatinga,santa rita de cássia,3.31,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,27.71,2020,2020/10/23,formosa do rio preto,2020,3073766.4334418774 +Caatinga,santa rita de cássia,21.12,2020,2020/11/09,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,177.81,2020,2020/12/14,formosa do rio preto,2020,3073766.4334418774 +Mata Atlântica,maraú,2.96,2020,2020/12/29,maraú,2020,170126.90513539314 +Cerrado,são desidério,248.69,2021,2021/01/23,são desidério,2021,3159579.701361537 +Cerrado,barreiras,41.55,2021,2021/01/23,barreiras,2021,958306.347179532 +Mata Atlântica,camamu,3.11,2021,2021/01/29,camamu,2021,163548.15982496738 +Mata Atlântica,guaratinga,12.81,2021,2021/01/21,guaratinga,2021,171742.56461274624 +Caatinga,santa rita de cássia,1.18,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,santa rita de cássia,1.05,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,barreiras,28.28,2021,2021/03/22,barreiras,2021,958306.347179532 +Cerrado,formosa do rio preto,19.27,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Cerrado,santa rita de cássia,8.18,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 +Cerrado,jaborandi,9.08,2021,2021/03/28,jaborandi,2021,2051920.940728784 +Cerrado,barreiras,100.23,2021,2021/01/01,barreiras,2021,958306.347179532 +Cerrado,riachão das neves,18.02,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Cerrado,baianópolis,4.76,2021,2021/01/01,baianópolis,2021,1700892.2622466087 +Caatinga,cotegipe,6.17,2021,2021/01/01,cotegipe,2021,292547.2605621815 +Cerrado,são desidério,10.0,2021,2021/01/01,são desidério,2021,3159579.701361537 +Cerrado,cocos,150.17,2021,2021/05/13,cocos,2021,1229644.9681953788 +Caatinga,cotegipe,1.92,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,são desidério,2.91,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,barra,5.3,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,3.36,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,cotegipe,2.15,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,barra,1.2,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,cotegipe,1.04,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,cotegipe,5.74,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,são desidério,4.03,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,correntina,1.56,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,santa rita de cássia,1.87,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,16.2,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,2.67,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,1.66,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,6.03,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,formosa do rio preto,871.51,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,8.37,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,12.06,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,5.11,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cocos,17.16,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,cocos,8.94,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,baianópolis,2.17,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,riachão das neves,17.63,2021,2021/07/01,riachão das neves,2021,761963.2862440944 +Mata Atlântica,itagibá,19.88,2021,2021/07/16,itagibá,2021,111453.28504517674 +Caatinga,jaborandi,5.45,2021,2021/08/02,jaborandi,2021,2051920.940728784 +Mata Atlântica,ilhéus,0.65,2021,2021/08/25,ilhéus,2021,131715.1359180212 +Mata Atlântica,ilhéus,2.17,2021,2021/10/29,ilhéus,2021,131715.1359180212 +Mata Atlântica,encruzilhada,2.52,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Mata Atlântica,encruzilhada,3.7,2021,2021/11/01,encruzilhada,2021,587315.3614428043 +Caatinga,santa rita de cássia,11.78,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,9.4,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,santa rita de cássia,4.86,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,1.41,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,1.02,2021,2021/12/01,barra,2021,79058.81857037544 +Cerrado,baianópolis,110.54,2021,2021/03/13,baianópolis,2021,1700892.2622466087 +Mata Atlântica,iguaí,2.03,2022,2022/02/28,iguaí,2022,277970.0 +Cerrado,santa rita de cássia,29.9,2022,2022/03/09,santa rita de cássia,2022,569631.0 +Cerrado,formosa do rio preto,76.22,2022,2022/03/09,formosa do rio preto,2022,2432263.0 +Cerrado,luís eduardo magalhães,232.76,2022,2022/05/06,luís eduardo magalhães,2022,343098.0 +Mata Atlântica,jequié,7.64,2022,2022/06/30,jequié,2022,498001.0 +Cerrado,correntina,1544.58,2022,2022/04/19,correntina,2022,1473135.0 +Cerrado,riachão das neves,21.92,2022,2022/04/04,riachão das neves,2022,670183.0 +Cerrado,riachão das neves,778.99,2022,2022/04/27,riachão das neves,2022,670183.0 +Cerrado,riachão das neves,33.16,2022,2022/03/01,riachão das neves,2022,670183.0 +Caatinga,barra,5.0,2022,2022/03/01,barra,2022,312169.0 +Caatinga,barra,7.09,2022,2022/03/01,barra,2022,312169.0 +Caatinga,cotegipe,54.03,2022,2022/03/01,cotegipe,2022,297663.0 +Caatinga,jaborandi,7.52,2022,2022/03/01,jaborandi,2022,1734316.0 +Caatinga,cotegipe,36.49,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,são desidério,200.91,2022,2022/08/07,são desidério,2022,2729422.0 +Mata Atlântica,maraú,0.8,2022,2022/07/31,maraú,2022,275953.0 +Mata Atlântica,maraú,5.57,2022,2022/07/31,maraú,2022,275953.0 +Cerrado,santa rita de cássia,4.67,2022,2022/06/01,santa rita de cássia,2022,569631.0 +Cerrado,jaborandi,123.3,2019,2019/11/08,jaborandi,2019,1706967.7386553884 +Cerrado,luís eduardo magalhães,5.39,2019,2019/10/13,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,cocos,42.01,2019,2019/10/16,cocos,2019,959394.147064954 +Cerrado,riachão das neves,30.74,2019,2019/10/28,riachão das neves,2019,580173.0040331781 +Cerrado,jaborandi,229.64,2019,2019/12/30,jaborandi,2019,1706967.7386553884 +Cerrado,baianópolis,0.31,2019,2019/04/29,baianópolis,2019,607436.7982445955 +Cerrado,são desidério,34.17,2019,2019/03/16,são desidério,2019,2024107.6610826247 +Cerrado,são desidério,35.54,2019,2019/05/10,são desidério,2019,2024107.6610826247 +Cerrado,correntina,117.59,2019,2019/05/19,correntina,2019,1545572.943816781 +Cerrado,riachão das neves,20.29,2019,2019/06/02,riachão das neves,2019,580173.0040331781 +Cerrado,jaborandi,405.08,2019,2019/06/11,jaborandi,2019,1706967.7386553884 +Mata Atlântica,camamu,0.93,2019,2019/01/16,camamu,2019,221471.44368362427 +Mata Atlântica,encruzilhada,19.57,2019,2019/04/29,encruzilhada,2019,403895.9177992344 +Mata Atlântica,dário meira,14.97,2019,2019/02/25,dário meira,2019,94401.96469908953 +Cerrado,são desidério,6.87,2020,2020/04/21,são desidério,2020,3091203.197527945 +Cerrado,santa rita de cássia,35.52,2020,2020/01/11,santa rita de cássia,2020,859509.3606863022 +Cerrado,cotegipe,93.42,2020,2020/04/27,cotegipe,2020,559960.0834841728 +Cerrado,santa rita de cássia,124.54,2020,2020/04/27,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,1.66,2020,2020/04/30,correntina,2020,1060525.6563282013 +Mata Atlântica,camamu,17.34,2020,2020/05/02,camamu,2020,434741.3974044919 +Cerrado,correntina,66.15,2020,2020/02/01,correntina,2020,1060525.6563282013 +Cerrado,santa rita de cássia,18.73,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,jaborandi,34.93,2020,2020/06/01,jaborandi,2020,1744004.154955864 +Cerrado,correntina,8.67,2020,2020/02/01,correntina,2020,1060525.6563282013 +Cerrado,formosa do rio preto,72.96,2020,2020/05/31,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,18.78,2020,2020/06/09,formosa do rio preto,2020,3073766.4334418774 +Mata Atlântica,encruzilhada,2.02,2020,2020/06/26,encruzilhada,2020,451620.4507952333 +Cerrado,baianópolis,42.4,2020,2020/07/01,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,4.96,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,7.01,2020,2020/07/01,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,6.89,2020,2020/07/01,baianópolis,2020,790814.9751247168 +Cerrado,correntina,3.57,2020,2020/08/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,11.13,2020,2020/08/01,baianópolis,2020,790814.9751247168 +Caatinga,cocos,19.92,2020,2020/08/01,cocos,2020,1218387.32458961 +Cerrado,correntina,117.51,2020,2020/09/30,correntina,2020,1060525.6563282013 +Caatinga,santa rita de cássia,2.72,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,iguaí,24.66,2020,2020/11/10,iguaí,2020,127471.2907333374 +Cerrado,baianópolis,3.91,2020,2020/11/24,baianópolis,2020,790814.9751247168 +Cerrado,riachão das neves,163.15,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,29.42,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,6.95,2020,2020/12/17,barra,2020,139778.05993533134 +Caatinga,cotegipe,5.1,2020,2020/12/01,cotegipe,2020,559960.0834841728 +Mata Atlântica,ilhéus,2.03,2020,2020/12/29,ilhéus,2020,191205.86366391185 +Cerrado,formosa do rio preto,306.83,2021,2021/01/23,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,valença,6.85,2021,2021/02/14,valença,2021,195332.51262283325 +Caatinga,santa rita de cássia,6.97,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,52.6,2021,2021/03/02,santa rita de cássia,2021,998700.5789114236 +Cerrado,riachão das neves,38.32,2021,2021/03/05,riachão das neves,2021,761963.2862440944 +Mata Atlântica,camamu,1.76,2021,2021/03/02,camamu,2021,163548.15982496738 +Cerrado,formosa do rio preto,317.17,2021,2021/03/25,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,itagibá,29.27,2021,2021/04/27,itagibá,2021,111453.28504517674 +Cerrado,barreiras,8.2,2021,2021/05/04,barreiras,2021,958306.347179532 +Cerrado,santa rita de cássia,40.59,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,são desidério,5.54,2021,2021/01/01,são desidério,2021,3159579.701361537 +Mata Atlântica,ilhéus,6.52,2021,2021/05/22,ilhéus,2021,131715.1359180212 +Cerrado,correntina,3.62,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,são desidério,72.15,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,2.14,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,riachão das neves,14.35,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Caatinga,cotegipe,14.0,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,barra,1.13,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,5.83,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,6.03,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,9.27,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,0.88,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,5.08,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,1.73,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,0.88,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,cotegipe,0.55,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,cotegipe,15.96,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,cotegipe,7.86,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,santa rita de cássia,15.82,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,1.38,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,correntina,3.03,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,3.59,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,santa rita de cássia,1.91,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,6.02,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,3.09,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,formosa do rio preto,13.45,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,0.89,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,4.06,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,0.71,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,1.8,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,3.44,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,3.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cocos,1.76,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,cocos,18.52,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,barreiras,712.86,2021,2021/07/18,barreiras,2021,958306.347179532 +Cerrado,riachão das neves,928.16,2021,2021/07/18,riachão das neves,2021,761963.2862440944 +Cerrado,são desidério,460.72,2021,2021/07/04,são desidério,2021,3159579.701361537 +Cerrado,barreiras,229.72,2021,2021/07/18,barreiras,2021,958306.347179532 +Cerrado,riachão das neves,7.55,2021,2021/06/01,riachão das neves,2021,761963.2862440944 +Caatinga,cotegipe,2.5,2021,2021/06/01,cotegipe,2021,292547.2605621815 +Cerrado,luís eduardo magalhães,11.83,2021,2021/08/05,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,barreiras,4.89,2021,2021/07/01,barreiras,2021,958306.347179532 +Cerrado,santa rita de cássia,23.78,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,encruzilhada,35.28,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Caatinga,santa rita de cássia,1.61,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,6.78,2021,2021/10/01,barra,2021,79058.81857037544 +Cerrado,santa rita de cássia,225.41,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,28.81,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,11.86,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Caatinga,santa rita de cássia,7.92,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,iguaí,1.44,2022,2022/02/28,iguaí,2022,277970.0 +Mata Atlântica,itambé,1.0,2022,2022/02/28,itambé,2022,227632.0 +Mata Atlântica,encruzilhada,58.4,2022,2022/03/31,encruzilhada,2022,414662.0 +Mata Atlântica,itambé,6.05,2022,2022/03/31,itambé,2022,227632.0 +Mata Atlântica,itarantim,2.32,2022,2022/03/31,itarantim,2022,203154.0 +Cerrado,são desidério,1845.38,2022,2022/01/19,são desidério,2022,2729422.0 +Cerrado,são desidério,601.68,2022,2022/01/19,são desidério,2022,2729422.0 +Cerrado,cotegipe,26.62,2022,2022/01/25,cotegipe,2022,297663.0 +Cerrado,jaborandi,33.31,2022,2022/03/27,jaborandi,2022,1734316.0 +Cerrado,formosa do rio preto,323.44,2022,2022/05/29,formosa do rio preto,2022,2432263.0 +Cerrado,luís eduardo magalhães,47.68,2022,2022/05/09,luís eduardo magalhães,2022,343098.0 +Cerrado,santa rita de cássia,2.79,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,2.74,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,baianópolis,17.55,2022,2022/06/16,baianópolis,2022,413632.0 +Cerrado,correntina,47.3,2022,2022/06/16,correntina,2022,1473135.0 +Mata Atlântica,guaratinga,4.02,2022,2022/05/31,guaratinga,2022,243882.0 +Mata Atlântica,valença,0.73,2022,2022/06/30,valença,2022,378871.0 +Caatinga,cotegipe,3.62,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,santa rita de cássia,19.13,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Caatinga,jaborandi,76.4,2022,2022/03/01,jaborandi,2022,1734316.0 +Cerrado,cotegipe,38.95,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,correntina,208.08,2022,2022/07/17,correntina,2022,1473135.0 +Cerrado,riachão das neves,94.42,2022,2022/08/04,riachão das neves,2022,670183.0 +Cerrado,baianópolis,17.18,2022,2022/08/04,baianópolis,2022,413632.0 +Cerrado,santa rita de cássia,3.82,2022,2022/08/12,santa rita de cássia,2022,569631.0 +Cerrado,formosa do rio preto,10.16,2022,2022/08/01,formosa do rio preto,2022,2432263.0 +Cerrado,barreiras,220.56,2022,2022/08/04,barreiras,2022,996163.0 +Mata Atlântica,igrapiúna,0.78,2022,2022/07/31,igrapiúna,2022,210971.0 +Cerrado,riachão das neves,48.36,2022,2022/09/16,riachão das neves,2022,670183.0 +Cerrado,correntina,158.26,2022,2022/09/30,correntina,2022,1473135.0 +Cerrado,santa rita de cássia,249.4,2019,2019/09/03,santa rita de cássia,2019,694797.0868461728 +Cerrado,luís eduardo magalhães,21.24,2019,2019/10/07,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,barreiras,10.33,2019,2019/10/13,barreiras,2019,1568927.0175619423 +Mata Atlântica,itagibá,5.21,2019,2019/11/08,itagibá,2019,121675.55451917648 +Cerrado,formosa do rio preto,247.97,2019,2019/07/07,formosa do rio preto,2019,4220327.0016454905 +Cerrado,barreiras,408.2,2019,2019/02/21,barreiras,2019,1568927.0175619423 +Caatinga,santa rita de cássia,2.45,2019,2019/05/07,santa rita de cássia,2019,694797.0868461728 +Caatinga,santa rita de cássia,11.43,2019,2019/02/21,santa rita de cássia,2019,694797.0868461728 +Cerrado,formosa do rio preto,790.32,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 +Cerrado,baianópolis,13.25,2019,2019/06/20,baianópolis,2019,607436.7982445955 +Cerrado,formosa do rio preto,255.35,2019,2019/03/13,formosa do rio preto,2019,4220327.0016454905 +Cerrado,formosa do rio preto,7.82,2019,2019/01/29,formosa do rio preto,2019,4220327.0016454905 +Cerrado,riachão das neves,182.87,2019,2019/06/20,riachão das neves,2019,580173.0040331781 +Cerrado,formosa do rio preto,889.43,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 +Caatinga,cotegipe,9.94,2019,2019/04/17,cotegipe,2019,331163.8086628318 +Mata Atlântica,ilhéus,1.39,2019,2019/01/25,ilhéus,2019,158872.06799983978 +Cerrado,barreiras,24.48,2020,2020/04/21,barreiras,2020,1179766.0970728395 +Cerrado,cotegipe,285.29,2020,2020/01/11,cotegipe,2020,559960.0834841728 +Cerrado,são desidério,1479.14,2020,2020/04/29,são desidério,2020,3091203.197527945 +Mata Atlântica,ilhéus,14.61,2020,2020/03/16,ilhéus,2020,191205.86366391185 +Mata Atlântica,camamu,0.83,2020,2020/04/24,camamu,2020,434741.3974044919 +Mata Atlântica,dário meira,2.4,2020,2020/01/11,dário meira,2020,92504.77269613744 +Mata Atlântica,itambé,2.44,2020,2020/03/31,itambé,2020,144429.97027254105 +Caatinga,barra,132.94,2020,2020/04/05,barra,2020,139778.05993533134 +Cerrado,cotegipe,5.09,2020,2020/06/01,cotegipe,2020,559960.0834841728 +Caatinga,cotegipe,16.07,2020,2020/06/01,cotegipe,2020,559960.0834841728 +Mata Atlântica,maraú,4.44,2020,2020/06/12,maraú,2020,170126.90513539314 +Mata Atlântica,maraú,5.34,2020,2020/06/12,maraú,2020,170126.90513539314 +Cerrado,luís eduardo magalhães,8.31,2020,2020/05/20,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,correntina,17.83,2020,2020/07/25,correntina,2020,1060525.6563282013 +Caatinga,cotegipe,32.49,2020,2020/07/01,cotegipe,2020,559960.0834841728 +Cerrado,santa rita de cássia,11.23,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,belmonte,0.56,2020,2020/09/24,belmonte,2020,350558.8480718136 +Mata Atlântica,encruzilhada,4.49,2020,2020/09/30,encruzilhada,2020,451620.4507952333 +Caatinga,santa rita de cássia,91.17,2020,2020/11/14,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,22.73,2020,2020/11/09,baianópolis,2020,790814.9751247168 +Mata Atlântica,iguaí,1.2,2020,2020/11/10,iguaí,2020,127471.2907333374 +Caatinga,santa rita de cássia,8.38,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,21.46,2021,2021/01/26,correntina,2021,1585476.3940644264 +Mata Atlântica,ibirapitanga,5.34,2021,2021/02/06,ibirapitanga,2021,72436.60405349731 +Caatinga,santa rita de cássia,1.59,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,1.65,2021,2021/02/01,barra,2021,79058.81857037544 +Mata Atlântica,ibirapitanga,4.48,2021,2021/03/10,ibirapitanga,2021,72436.60405349731 +Cerrado,formosa do rio preto,1326.82,2021,2021/03/22,formosa do rio preto,2021,2299737.8741800785 +Cerrado,cotegipe,6.06,2021,2021/03/25,cotegipe,2021,292547.2605621815 +Mata Atlântica,valença,2.97,2021,2021/04/27,valença,2021,195332.51262283325 +Cerrado,correntina,23.63,2021,2021/05/04,correntina,2021,1585476.3940644264 +Cerrado,formosa do rio preto,23.46,2021,2021/05/04,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,valença,1.79,2021,2021/05/13,valença,2021,195332.51262283325 +Cerrado,santa rita de cássia,5.11,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,1.05,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,correntina,12.02,2020,2020/01/01,correntina,2020,1060525.6563282013 +Caatinga,barra,3.57,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,10.23,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.28,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.38,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,são desidério,2.14,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,0.89,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,jaborandi,0.84,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,formosa do rio preto,16.63,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,5.07,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,riachão das neves,6.63,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Caatinga,santa rita de cássia,1.05,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,jaborandi,4.47,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Caatinga,cotegipe,7.34,2021,2021/05/01,cotegipe,2021,292547.2605621815 +Cerrado,luís eduardo magalhães,20.35,2021,2021/07/01,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,formosa do rio preto,51.55,2021,2021/07/18,formosa do rio preto,2021,2299737.8741800785 +Cerrado,cotegipe,24.46,2021,2021/06/01,cotegipe,2021,292547.2605621815 +Cerrado,santa rita de cássia,124.06,2021,2021/08/28,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,ilhéus,14.56,2021,2021/08/17,ilhéus,2021,131715.1359180212 +Mata Atlântica,camamu,0.94,2021,2021/08/25,camamu,2021,163548.15982496738 +Cerrado,são desidério,176.12,2021,2021/07/01,são desidério,2021,3159579.701361537 +Caatinga,santa rita de cássia,17.63,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,0.97,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,6.6,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,0.38,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,cocos,16.96,2021,2021/12/01,cocos,2021,1229644.9681953788 +Cerrado,luís eduardo magalhães,395.55,2021,2021/04/11,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,formosa do rio preto,22.07,2021,2021/06/02,formosa do rio preto,2021,2299737.8741800785 +Cerrado,jaborandi,29.0,2021,2021/06/25,jaborandi,2021,2051920.940728784 +Cerrado,formosa do rio preto,57.31,2021,2021/07/18,formosa do rio preto,2021,2299737.8741800785 +Cerrado,riachão das neves,24.19,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Caatinga,santa rita de cássia,10.55,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,guaratinga,2.38,2022,2022/02/28,guaratinga,2022,243882.0 +Mata Atlântica,itambé,9.26,2022,2022/03/31,itambé,2022,227632.0 +Cerrado,barreiras,82.44,2022,2022/02/03,barreiras,2022,996163.0 +Cerrado,riachão das neves,499.1,2022,2022/05/06,riachão das neves,2022,670183.0 +Cerrado,santa rita de cássia,136.77,2022,2022/05/06,santa rita de cássia,2022,569631.0 +Mata Atlântica,ilhéus,2.5,2022,2022/06/30,ilhéus,2022,209209.0 +Cerrado,santa rita de cássia,3.89,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Mata Atlântica,maraú,0.49,2022,2022/06/30,maraú,2022,275953.0 +Mata Atlântica,itapetinga,19.31,2022,2022/06/30,itapetinga,2022,285382.0 +Mata Atlântica,ilhéus,1.19,2022,2022/06/30,ilhéus,2022,209209.0 +Cerrado,baianópolis,6.02,2022,2022/03/01,baianópolis,2022,413632.0 +Cerrado,barreiras,2.74,2022,2022/03/01,barreiras,2022,996163.0 +Cerrado,jaborandi,4.79,2022,2022/03/01,jaborandi,2022,1734316.0 +Cerrado,formosa do rio preto,10.56,2022,2022/03/01,formosa do rio preto,2022,2432263.0 +Caatinga,cotegipe,22.06,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,cocos,8.85,2022,2022/03/01,cocos,2022,367625.0 +Cerrado,luís eduardo magalhães,97.19,2022,2022/08/04,luís eduardo magalhães,2022,343098.0 +Cerrado,jaborandi,128.52,2022,2022/08/12,jaborandi,2022,1734316.0 +Caatinga,cocos,12.21,2019,2019/11/11,cocos,2019,959394.147064954 +Cerrado,riachão das neves,26.41,2019,2019/12/07,riachão das neves,2019,580173.0040331781 +Cerrado,baianópolis,21.65,2019,2019/04/26,baianópolis,2019,607436.7982445955 +Cerrado,jaborandi,1102.39,2019,2019/05/01,jaborandi,2019,1706967.7386553884 +Cerrado,são desidério,4.61,2019,2019/04/29,são desidério,2019,2024107.6610826247 +Cerrado,formosa do rio preto,239.22,2019,2019/01/23,formosa do rio preto,2019,4220327.0016454905 +Cerrado,baianópolis,29.47,2019,2019/01/29,baianópolis,2019,607436.7982445955 +Caatinga,cotegipe,17.2,2019,2019/05/07,cotegipe,2019,331163.8086628318 +Cerrado,barreiras,9.92,2019,2019/05/19,barreiras,2019,1568927.0175619423 +Cerrado,santa rita de cássia,129.75,2019,2019/08/02,santa rita de cássia,2019,694797.0868461728 +Cerrado,formosa do rio preto,35.49,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 +Cerrado,baianópolis,71.36,2019,2019/08/02,baianópolis,2019,607436.7982445955 +Caatinga,santa rita de cássia,19.9,2019,2019/06/25,santa rita de cássia,2019,694797.0868461728 +Caatinga,cotegipe,20.74,2019,2019/06/20,cotegipe,2019,331163.8086628318 +Mata Atlântica,dário meira,2.36,2019,2019/04/30,dário meira,2019,94401.96469908953 +Cerrado,jaborandi,2.8,2020,2020/04/30,jaborandi,2020,1744004.154955864 +Cerrado,jaborandi,3.75,2020,2020/04/30,jaborandi,2020,1744004.154955864 +Cerrado,jaborandi,90.98,2020,2020/01/08,jaborandi,2020,1744004.154955864 +Cerrado,riachão das neves,3.41,2020,2020/01/11,riachão das neves,2020,1085054.2665590644 +Cerrado,luís eduardo magalhães,223.0,2020,2020/02/20,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,barreiras,4.45,2020,2020/04/03,barreiras,2020,1179766.0970728395 +Cerrado,são desidério,16.73,2020,2020/05/11,são desidério,2020,3091203.197527945 +Mata Atlântica,ilhéus,4.93,2020,2020/04/08,ilhéus,2020,191205.86366391185 +Cerrado,riachão das neves,67.96,2020,2020/06/01,riachão das neves,2020,1085054.2665590644 +Mata Atlântica,encruzilhada,15.41,2020,2020/06/30,encruzilhada,2020,451620.4507952333 +Mata Atlântica,iguaí,1.46,2020,2020/05/26,iguaí,2020,127471.2907333374 +Mata Atlântica,valença,3.62,2020,2020/06/19,valença,2020,427637.707020998 +Cerrado,formosa do rio preto,456.75,2020,2020/05/25,formosa do rio preto,2020,3073766.4334418774 +Cerrado,riachão das neves,53.36,2020,2020/05/31,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,35.94,2020,2020/07/14,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,29.91,2020,2020/07/14,cotegipe,2020,559960.0834841728 +Cerrado,são desidério,21.59,2020,2020/07/01,são desidério,2020,3091203.197527945 +Caatinga,jaborandi,3.2,2020,2020/07/01,jaborandi,2020,1744004.154955864 +Cerrado,baianópolis,4.39,2020,2020/08/01,baianópolis,2020,790814.9751247168 +Cerrado,santa rita de cássia,66.04,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,9.7,2020,2020/09/01,são desidério,2020,3091203.197527945 +Caatinga,cotegipe,14.75,2020,2020/09/30,cotegipe,2020,559960.0834841728 +Caatinga,santa rita de cássia,13.21,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,11.4,2020,2020/10/26,santa rita de cássia,2020,859509.3606863022 +Caatinga,cocos,5.72,2020,2020/11/24,cocos,2020,1218387.32458961 +Caatinga,santa rita de cássia,13.56,2020,2020/11/29,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,32.45,2020,2020/12/31,baianópolis,2020,790814.9751247168 +Cerrado,barreiras,7.52,2020,2020/12/01,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,16.87,2020,2020/12/01,barreiras,2020,1179766.0970728395 +Cerrado,luís eduardo magalhães,142.4,2021,2021/02/01,luís eduardo magalhães,2021,654262.0002045631 +Mata Atlântica,guaratinga,3.55,2021,2021/02/22,guaratinga,2021,171742.56461274624 +Mata Atlântica,dário meira,29.26,2021,2021/02/01,dário meira,2021,101797.88742160796 +Caatinga,santa rita de cássia,17.62,2021,2021/03/02,santa rita de cássia,2021,998700.5789114236 +Cerrado,jaborandi,477.24,2021,2021/03/02,jaborandi,2021,2051920.940728784 +Cerrado,correntina,4.57,2021,2021/03/13,correntina,2021,1585476.3940644264 +Mata Atlântica,valença,0.43,2021,2021/03/26,valença,2021,195332.51262283325 +Cerrado,luís eduardo magalhães,280.37,2021,2021/03/22,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,luís eduardo magalhães,34.8,2021,2021/03/22,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,são desidério,27.11,2021,2021/03/28,são desidério,2021,3159579.701361537 +Cerrado,correntina,62.7,2021,2021/03/25,correntina,2021,1585476.3940644264 +Mata Atlântica,camamu,1.01,2021,2021/04/28,camamu,2021,163548.15982496738 +Cerrado,barreiras,3.77,2021,2021/03/01,barreiras,2021,958306.347179532 +Cerrado,baianópolis,2.68,2021,2021/03/01,baianópolis,2021,1700892.2622466087 +Cerrado,formosa do rio preto,311.02,2021,2021/05/21,formosa do rio preto,2021,2299737.8741800785 +Caatinga,correntina,13.53,2021,2021/05/30,correntina,2021,1585476.3940644264 +Caatinga,santa rita de cássia,4.45,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,2.29,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,0.74,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.12,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,1.79,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cotegipe,4.9,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,barra,1.17,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,3.75,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,4.19,2020,2020/01/01,correntina,2020,1060525.6563282013 +Caatinga,correntina,0.41,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,santa rita de cássia,3.37,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,4.01,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,6.0,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,barreiras,15.18,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,1.16,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,6.62,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,luís eduardo magalhães,9.41,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,riachão das neves,33.7,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,formosa do rio preto,6.61,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,cocos,2.29,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,santa rita de cássia,9.97,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,1.3,2021,2021/05/01,cotegipe,2021,292547.2605621815 +Cerrado,correntina,96.43,2021,2021/07/04,correntina,2021,1585476.3940644264 +Cerrado,correntina,4.5,2021,2021/06/01,correntina,2021,1585476.3940644264 +Caatinga,santa rita de cássia,19.64,2021,2021/08/13,santa rita de cássia,2021,998700.5789114236 +Cerrado,barreiras,1055.72,2021,2021/07/01,barreiras,2021,958306.347179532 +Cerrado,santa rita de cássia,20.65,2021,2021/09/03,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,itapetinga,13.09,2021,2021/09/01,itapetinga,2021,20727.768303871155 +Mata Atlântica,itapetinga,58.74,2021,2021/09/01,itapetinga,2021,20727.768303871155 +Caatinga,cotegipe,1.59,2021,2021/11/18,cotegipe,2021,292547.2605621815 +Caatinga,barra,2.3,2021,2021/09/01,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,1.19,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,17.15,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Caatinga,barra,9.77,2021,2021/10/01,barra,2021,79058.81857037544 +Caatinga,cocos,20.01,2021,2021/10/01,cocos,2021,1229644.9681953788 +Cerrado,são desidério,337.41,2021,2021/04/11,são desidério,2021,3159579.701361537 +Caatinga,santa rita de cássia,12.35,2021,2021/05/10,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,maraú,3.8,2022,2022/02/28,maraú,2022,275953.0 +Mata Atlântica,itagibá,72.64,2022,2022/03/31,itagibá,2022,288483.0 +Cerrado,barreiras,239.06,2022,2022/01/19,barreiras,2022,996163.0 +Cerrado,santa rita de cássia,7.8,2022,2022/01/11,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,10.19,2022,2022/01/25,santa rita de cássia,2022,569631.0 +Cerrado,luís eduardo magalhães,143.95,2022,2022/02/03,luís eduardo magalhães,2022,343098.0 +Cerrado,correntina,2074.81,2022,2022/03/21,correntina,2022,1473135.0 +Cerrado,são desidério,163.4,2022,2022/03/09,são desidério,2022,2729422.0 +Cerrado,baianópolis,32.71,2022,2022/05/21,baianópolis,2022,413632.0 +Cerrado,santa rita de cássia,12.86,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,barreiras,184.48,2022,2022/06/04,barreiras,2022,996163.0 +Cerrado,correntina,147.75,2022,2022/06/04,correntina,2022,1473135.0 +Cerrado,riachão das neves,297.96,2022,2022/06/04,riachão das neves,2022,670183.0 +Mata Atlântica,camamu,0.37,2022,2022/06/30,camamu,2022,232571.0 +Mata Atlântica,valença,1.02,2022,2022/06/30,valença,2022,378871.0 +Cerrado,são desidério,0.69,2022,2022/03/01,são desidério,2022,2729422.0 +Caatinga,jaborandi,3.1,2022,2022/03/01,jaborandi,2022,1734316.0 +Cerrado,formosa do rio preto,12.24,2022,2022/03/01,formosa do rio preto,2022,2432263.0 +Cerrado,cocos,12.16,2022,2022/03/01,cocos,2022,367625.0 +Caatinga,barra,3.54,2022,2022/03/01,barra,2022,312169.0 +Cerrado,cocos,10.71,2022,2022/03/01,cocos,2022,367625.0 +Cerrado,formosa do rio preto,175.86,2022,2022/08/12,formosa do rio preto,2022,2432263.0 +Cerrado,correntina,48.41,2022,2022/08/04,correntina,2022,1473135.0 +Caatinga,barra,1.43,2022,2022/04/01,barra,2022,312169.0 +Cerrado,jaborandi,5.35,2022,2022/05/01,jaborandi,2022,1734316.0 +Mata Atlântica,itapetinga,19.22,2022,2022/07/31,itapetinga,2022,285382.0 +Mata Atlântica,ilhéus,5.27,2019,2019/10/16,ilhéus,2019,158872.06799983978 +Cerrado,cocos,13.78,2019,2019/10/13,cocos,2019,959394.147064954 +Mata Atlântica,ibirapitanga,3.23,2019,2019/11/08,ibirapitanga,2019,86205.62920188904 +Cerrado,santa rita de cássia,15.13,2019,2019/11/23,santa rita de cássia,2019,694797.0868461728 +Cerrado,são desidério,213.66,2019,2019/12/07,são desidério,2019,2024107.6610826247 +Cerrado,são desidério,23.24,2019,2019/12/16,são desidério,2019,2024107.6610826247 +Mata Atlântica,iguaí,15.41,2019,2019/12/02,iguaí,2019,82227.19198989868 +Cerrado,barreiras,86.72,2019,2019/07/04,barreiras,2019,1568927.0175619423 +Mata Atlântica,igrapiúna,2.14,2019,2019/06/09,igrapiúna,2019,257694.0746061802 +Caatinga,santa rita de cássia,8.82,2019,2019/01/17,santa rita de cássia,2019,694797.0868461728 +Caatinga,cocos,6.47,2019,2019/05/19,cocos,2019,959394.147064954 +Cerrado,baianópolis,3.91,2019,2019/08/02,baianópolis,2019,607436.7982445955 +Cerrado,santa rita de cássia,86.38,2019,2019/06/25,santa rita de cássia,2019,694797.0868461728 +Cerrado,baianópolis,54.08,2019,2019/05/10,baianópolis,2019,607436.7982445955 +Cerrado,formosa do rio preto,40.93,2019,2019/07/10,formosa do rio preto,2019,4220327.0016454905 +Cerrado,formosa do rio preto,94.18,2019,2019/01/17,formosa do rio preto,2019,4220327.0016454905 +Mata Atlântica,igrapiúna,5.25,2019,2019/01/08,igrapiúna,2019,257694.0746061802 +Mata Atlântica,guaratinga,3.43,2019,2019/08/28,guaratinga,2019,211708.01093423367 +Cerrado,são desidério,2124.54,2020,2020/01/08,são desidério,2020,3091203.197527945 +Cerrado,cocos,170.87,2020,2020/04/04,cocos,2020,1218387.32458961 +Cerrado,correntina,17.42,2020,2020/01/19,correntina,2020,1060525.6563282013 +Cerrado,riachão das neves,119.36,2020,2020/05/02,riachão das neves,2020,1085054.2665590644 +Cerrado,cotegipe,230.99,2020,2020/05/11,cotegipe,2020,559960.0834841728 +Mata Atlântica,belmonte,1.14,2020,2020/02/29,belmonte,2020,350558.8480718136 +Mata Atlântica,valença,2.02,2020,2020/04/16,valença,2020,427637.707020998 +Mata Atlântica,igrapiúna,20.05,2020,2020/04/16,igrapiúna,2020,378236.5840551853 +Cerrado,cocos,16.95,2020,2020/06/01,cocos,2020,1218387.32458961 +Mata Atlântica,belmonte,5.12,2020,2020/05/27,belmonte,2020,350558.8480718136 +Caatinga,santa rita de cássia,51.41,2020,2020/05/23,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,73.2,2020,2020/06/06,são desidério,2020,3091203.197527945 +Caatinga,jaborandi,3.47,2020,2020/07/01,jaborandi,2020,1744004.154955864 +Cerrado,baianópolis,6.41,2020,2020/07/01,baianópolis,2020,790814.9751247168 +Cerrado,jaborandi,3.6,2020,2020/07/01,jaborandi,2020,1744004.154955864 +Caatinga,correntina,5.03,2020,2020/08/01,correntina,2020,1060525.6563282013 +Mata Atlântica,camamu,0.66,2020,2020/09/08,camamu,2020,434741.3974044919 +Cerrado,barreiras,84.46,2020,2020/09/21,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,3.73,2020,2020/09/01,riachão das neves,2020,1085054.2665590644 +Caatinga,jaborandi,5.27,2020,2020/09/15,jaborandi,2020,1744004.154955864 +Mata Atlântica,maraú,6.67,2020,2020/10/09,maraú,2020,170126.90513539314 +Cerrado,formosa do rio preto,9.35,2020,2020/11/09,formosa do rio preto,2020,3073766.4334418774 +Cerrado,luís eduardo magalhães,176.74,2020,2020/12/14,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,luís eduardo magalhães,18.77,2020,2020/12/14,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,baianópolis,4.7,2020,2020/12/14,baianópolis,2020,790814.9751247168 +Mata Atlântica,valença,2.52,2020,2020/12/12,valença,2020,427637.707020998 +Cerrado,santa rita de cássia,4.24,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,16.91,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,jaborandi,42.6,2021,2021/01/20,jaborandi,2021,2051920.940728784 +Mata Atlântica,valença,3.04,2021,2021/01/05,valença,2021,195332.51262283325 +Caatinga,santa rita de cássia,4.17,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,correntina,251.31,2021,2021/03/25,correntina,2021,1585476.3940644264 +Mata Atlântica,igrapiúna,2.61,2021,2021/04/27,igrapiúna,2021,148621.67436516285 +Mata Atlântica,guaratinga,0.31,2021,2021/04/19,guaratinga,2021,171742.56461274624 +Cerrado,formosa do rio preto,21.3,2021,2021/05/04,formosa do rio preto,2021,2299737.8741800785 +Cerrado,correntina,0.58,2021,2021/01/01,correntina,2021,1585476.3940644264 +Cerrado,baianópolis,1.19,2021,2021/01/01,baianópolis,2021,1700892.2622466087 +Caatinga,santa rita de cássia,0.39,2021,2021/03/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,6.82,2021,2021/03/01,barra,2021,79058.81857037544 +Caatinga,barra,74.92,2021,2021/03/01,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,13.92,2021,2021/05/10,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,2.33,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,3.78,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,11.15,2021,2021/06/17,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,belmonte,6.09,2021,2021/05/30,belmonte,2021,331485.0170983076 +Caatinga,cotegipe,0.91,2021,2021/05/30,cotegipe,2021,292547.2605621815 +Caatinga,barra,0.88,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,cocos,2.09,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,barreiras,29.74,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,são desidério,1.4,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,santa rita de cássia,5.08,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,1.0,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,2.31,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,1.38,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,3.77,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,6.0,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,barreiras,15.46,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,formosa do rio preto,1.73,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,17.74,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,4.29,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cocos,3.88,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,baianópolis,67.64,2021,2021/05/01,baianópolis,2021,1700892.2622466087 +Cerrado,baianópolis,30.37,2021,2021/07/27,baianópolis,2021,1700892.2622466087 +Cerrado,jaborandi,1.13,2021,2021/06/01,jaborandi,2021,2051920.940728784 +Cerrado,riachão das neves,66.38,2021,2021/06/01,riachão das neves,2021,761963.2862440944 +Cerrado,jaborandi,92.92,2021,2021/08/05,jaborandi,2021,2051920.940728784 +Cerrado,barreiras,8.17,2021,2021/09/26,barreiras,2021,958306.347179532 +Cerrado,luís eduardo magalhães,7.27,2021,2021/09/26,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,luís eduardo magalhães,13.09,2021,2021/09/26,luís eduardo magalhães,2021,654262.0002045631 +Caatinga,cotegipe,43.4,2021,2021/10/02,cotegipe,2021,292547.2605621815 +Cerrado,luís eduardo magalhães,621.88,2021,2021/10/13,luís eduardo magalhães,2021,654262.0002045631 +Mata Atlântica,encruzilhada,37.48,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Mata Atlântica,itapetinga,4.26,2021,2021/09/01,itapetinga,2021,20727.768303871155 +Mata Atlântica,encruzilhada,20.38,2021,2021/11/01,encruzilhada,2021,587315.3614428043 +Cerrado,santa rita de cássia,36.36,2021,2021/11/20,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,19.61,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,1.47,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,177.98,2021,2021/10/01,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,5.79,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,formosa do rio preto,14.29,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Cerrado,formosa do rio preto,28.93,2021,2021/05/01,formosa do rio preto,2021,2299737.8741800785 +Cerrado,cocos,4.77,2021,2021/08/01,cocos,2021,1229644.9681953788 +Mata Atlântica,itambé,8.57,2022,2022/02/28,itambé,2022,227632.0 +Cerrado,riachão das neves,419.67,2022,2022/05/06,riachão das neves,2022,670183.0 +Cerrado,formosa do rio preto,13.03,2022,2022/05/29,formosa do rio preto,2022,2432263.0 +Cerrado,barreiras,86.98,2022,2022/05/06,barreiras,2022,996163.0 +Cerrado,são desidério,1152.42,2022,2022/04/07,são desidério,2022,2729422.0 +Cerrado,jaborandi,25.7,2022,2022/04/25,jaborandi,2022,1734316.0 +Cerrado,jaborandi,15.37,2022,2022/04/25,jaborandi,2022,1734316.0 +Cerrado,são desidério,1626.19,2022,2022/04/10,são desidério,2022,2729422.0 +Cerrado,santa rita de cássia,5.15,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Caatinga,cotegipe,6.97,2022,2022/02/01,cotegipe,2022,297663.0 +Cerrado,baianópolis,142.81,2022,2022/06/16,baianópolis,2022,413632.0 +Mata Atlântica,ilhéus,0.49,2022,2022/06/30,ilhéus,2022,209209.0 +Mata Atlântica,igrapiúna,0.72,2022,2022/06/30,igrapiúna,2022,210971.0 +Caatinga,cotegipe,0.77,2022,2022/03/01,cotegipe,2022,297663.0 +Caatinga,barra,43.61,2022,2022/03/01,barra,2022,312169.0 +Cerrado,riachão das neves,30.41,2022,2022/08/09,riachão das neves,2022,670183.0 +Cerrado,baianópolis,51.49,2022,2022/08/02,baianópolis,2022,413632.0 +Caatinga,barra,0.77,2022,2022/05/01,barra,2022,312169.0 +Cerrado,santa rita de cássia,4.41,2022,2022/06/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,13.87,2019,2019/06/20,santa rita de cássia,2019,694797.0868461728 +Cerrado,formosa do rio preto,89.61,2019,2019/09/20,formosa do rio preto,2019,4220327.0016454905 +Caatinga,cotegipe,5.8,2019,2019/12/07,cotegipe,2019,331163.8086628318 +Cerrado,cotegipe,10.12,2019,2019/04/23,cotegipe,2019,331163.8086628318 +Cerrado,luís eduardo magalhães,417.37,2019,2019/01/23,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,formosa do rio preto,148.63,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 +Cerrado,são desidério,599.9,2019,2019/04/23,são desidério,2019,2024107.6610826247 +Caatinga,cotegipe,9.17,2019,2019/03/31,cotegipe,2019,331163.8086628318 +Cerrado,são desidério,14.24,2019,2019/05/04,são desidério,2019,2024107.6610826247 +Cerrado,baianópolis,3.09,2019,2019/08/02,baianópolis,2019,607436.7982445955 +Cerrado,barreiras,18.16,2019,2019/05/19,barreiras,2019,1568927.0175619423 +Cerrado,santa rita de cássia,17.34,2019,2019/06/20,santa rita de cássia,2019,694797.0868461728 +Cerrado,são desidério,41.05,2019,2019/06/08,são desidério,2019,2024107.6610826247 +Mata Atlântica,jequié,4.29,2019,2019/02/25,jequié,2019,249169.2120203972 +Mata Atlântica,valença,1.11,2019,2019/01/08,valença,2019,247673.75340151787 +Cerrado,cotegipe,1309.16,2020,2020/01/11,cotegipe,2020,559960.0834841728 +Caatinga,cotegipe,9.85,2020,2020/01/11,cotegipe,2020,559960.0834841728 +Cerrado,barreiras,12.15,2020,2020/02/26,barreiras,2020,1179766.0970728395 +Mata Atlântica,ilhéus,4.71,2020,2020/04/01,ilhéus,2020,191205.86366391185 +Mata Atlântica,belmonte,3.34,2020,2020/02/12,belmonte,2020,350558.8480718136 +Cerrado,baianópolis,10.25,2020,2020/05/01,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,8.82,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,129.05,2020,2020/02/01,são desidério,2020,3091203.197527945 +Mata Atlântica,itagibá,5.53,2020,2020/06/30,itagibá,2020,72102.08046793938 +Mata Atlântica,iguaí,4.55,2020,2020/06/30,iguaí,2020,127471.2907333374 +Cerrado,luís eduardo magalhães,48.04,2020,2020/05/20,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,barreiras,153.03,2020,2020/05/23,barreiras,2020,1179766.0970728395 +Caatinga,santa rita de cássia,6.88,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,5.29,2020,2020/07/01,cocos,2020,1218387.32458961 +Cerrado,jaborandi,7.2,2020,2020/08/01,jaborandi,2020,1744004.154955864 +Cerrado,jaborandi,13.45,2020,2020/09/01,jaborandi,2020,1744004.154955864 +Cerrado,cocos,435.94,2020,2020/09/24,cocos,2020,1218387.32458961 +Mata Atlântica,valença,4.9,2020,2020/10/17,valença,2020,427637.707020998 +Cerrado,baianópolis,7.18,2020,2020/11/09,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,8.93,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,10.25,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,7.04,2020,2020/12/17,riachão das neves,2020,1085054.2665590644 +Caatinga,santa rita de cássia,7.64,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,belmonte,1.51,2020,2020/12/13,belmonte,2020,350558.8480718136 +Mata Atlântica,encruzilhada,16.78,2020,2020/12/12,encruzilhada,2020,451620.4507952333 +Cerrado,baianópolis,340.0,2020,2020/12/31,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,17.37,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,ilhéus,1.02,2020,2020/12/29,ilhéus,2020,191205.86366391185 +Cerrado,riachão das neves,39.67,2021,2021/01/09,riachão das neves,2021,761963.2862440944 +Mata Atlântica,nilo peçanha,5.66,2021,2021/01/21,nilo peçanha,2021,59568.41939795017 +Mata Atlântica,nilo peçanha,15.57,2021,2021/02/14,nilo peçanha,2021,59568.41939795017 +Mata Atlântica,valença,0.94,2021,2021/02/06,valença,2021,195332.51262283325 +Mata Atlântica,dário meira,3.4,2021,2021/02/22,dário meira,2021,101797.88742160796 +Cerrado,baianópolis,1134.59,2021,2021/03/05,baianópolis,2021,1700892.2622466087 +Mata Atlântica,valença,0.42,2021,2021/03/26,valença,2021,195332.51262283325 +Cerrado,são desidério,16.23,2021,2021/03/28,são desidério,2021,3159579.701361537 +Cerrado,cocos,1680.4,2021,2021/03/19,cocos,2021,1229644.9681953788 +Cerrado,correntina,10.55,2021,2021/03/28,correntina,2021,1585476.3940644264 +Cerrado,formosa do rio preto,610.17,2021,2021/04/05,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,belmonte,4.63,2021,2021/04/28,belmonte,2021,331485.0170983076 +Cerrado,riachão das neves,1.95,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Caatinga,cotegipe,2.8,2021,2021/01/01,cotegipe,2021,292547.2605621815 +Cerrado,riachão das neves,15.32,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Caatinga,santa rita de cássia,43.84,2021,2021/05/22,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,iguaí,6.13,2021,2021/05/21,iguaí,2021,155962.6907043457 +Cerrado,santa rita de cássia,4.03,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,correntina,34.68,2021,2021/04/01,correntina,2021,1585476.3940644264 +Cerrado,riachão das neves,214.94,2021,2021/04/01,riachão das neves,2021,761963.2862440944 +Caatinga,santa rita de cássia,4.72,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,baianópolis,1.62,2021,2021/05/30,baianópolis,2021,1700892.2622466087 +Cerrado,são desidério,4.46,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,correntina,2.6,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,são desidério,3.26,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,barra,1.03,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.86,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,2.22,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.94,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,0.79,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.82,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,2.77,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,0.5,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,0.88,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,4.21,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,4.48,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,santa rita de cássia,0.83,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,3.93,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,15.08,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,correntina,8.62,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,2.57,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,riachão das neves,12.77,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,formosa do rio preto,7.06,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,7.9,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,3.11,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,1.62,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,23.67,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,formosa do rio preto,14.59,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,2.59,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,cocos,36.79,2020,2020/01/01,cocos,2020,1218387.32458961 +Caatinga,cotegipe,2.97,2021,2021/05/01,cotegipe,2021,292547.2605621815 +Mata Atlântica,nilo peçanha,1.21,2021,2021/07/16,nilo peçanha,2021,59568.41939795017 +Cerrado,cotegipe,24.67,2021,2021/06/01,cotegipe,2021,292547.2605621815 +Caatinga,cotegipe,61.8,2021,2021/08/05,cotegipe,2021,292547.2605621815 +Mata Atlântica,ibirapitanga,7.35,2021,2021/08/17,ibirapitanga,2021,72436.60405349731 +Cerrado,jaborandi,112.09,2021,2021/10/25,jaborandi,2021,2051920.940728784 +Mata Atlântica,encruzilhada,7.11,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Mata Atlântica,encruzilhada,360.49,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Cerrado,riachão das neves,17.92,2021,2021/09/01,riachão das neves,2021,761963.2862440944 +Cerrado,riachão das neves,13.05,2021,2021/09/01,riachão das neves,2021,761963.2862440944 +Caatinga,santa rita de cássia,2.98,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,50.77,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,4.09,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,7.5,2021,2021/11/01,cotegipe,2021,292547.2605621815 +Cerrado,riachão das neves,53.11,2021,2021/11/01,riachão das neves,2021,761963.2862440944 +Cerrado,santa rita de cássia,7.28,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,barreiras,32.05,2021,2021/01/23,barreiras,2021,958306.347179532 +Cerrado,formosa do rio preto,42.45,2021,2021/07/18,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,valença,2.99,2021,2021/04/27,valença,2021,195332.51262283325 +Caatinga,barra,10.89,2021,2021/12/01,barra,2021,79058.81857037544 +Cerrado,formosa do rio preto,2647.19,2022,2022/01/19,formosa do rio preto,2022,2432263.0 +Cerrado,jaborandi,339.7,2022,2022/01/22,jaborandi,2022,1734316.0 +Cerrado,formosa do rio preto,74.41,2022,2022/01/22,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,29.15,2022,2022/05/06,formosa do rio preto,2022,2432263.0 +Mata Atlântica,maraú,8.79,2022,2022/03/31,maraú,2022,275953.0 +Cerrado,correntina,182.32,2022,2022/04/07,correntina,2022,1473135.0 +Cerrado,são desidério,129.73,2022,2022/04/30,são desidério,2022,2729422.0 +Cerrado,formosa do rio preto,162.86,2022,2022/06/07,formosa do rio preto,2022,2432263.0 +Mata Atlântica,ilhéus,0.71,2022,2022/06/30,ilhéus,2022,209209.0 +Mata Atlântica,belmonte,0.72,2022,2022/06/30,belmonte,2022,354868.0 +Cerrado,barreiras,10.25,2022,2022/03/01,barreiras,2022,996163.0 +Caatinga,cotegipe,10.37,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,santa rita de cássia,206.25,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Cerrado,baianópolis,14.01,2022,2022/08/04,baianópolis,2022,413632.0 +Cerrado,formosa do rio preto,233.69,2022,2022/08/04,formosa do rio preto,2022,2432263.0 +Cerrado,baianópolis,39.14,2022,2022/08/02,baianópolis,2022,413632.0 +Mata Atlântica,valença,4.82,2022,2022/07/31,valença,2022,378871.0 +Cerrado,formosa do rio preto,286.07,2022,2022/09/03,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,401.99,2019,2019/10/25,formosa do rio preto,2019,4220327.0016454905 +Cerrado,cotegipe,114.31,2019,2019/11/05,cotegipe,2019,331163.8086628318 +Mata Atlântica,encruzilhada,23.27,2019,2019/11/23,encruzilhada,2019,403895.9177992344 +Cerrado,formosa do rio preto,9.05,2019,2019/12/16,formosa do rio preto,2019,4220327.0016454905 +Cerrado,formosa do rio preto,4.79,2019,2019/12/16,formosa do rio preto,2019,4220327.0016454905 +Cerrado,santa rita de cássia,30.11,2019,2019/05/22,santa rita de cássia,2019,694797.0868461728 +Cerrado,formosa do rio preto,55.98,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 +Cerrado,formosa do rio preto,321.01,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 +Cerrado,formosa do rio preto,46.15,2019,2019/07/27,formosa do rio preto,2019,4220327.0016454905 +Cerrado,baianópolis,11.45,2019,2019/08/02,baianópolis,2019,607436.7982445955 +Caatinga,santa rita de cássia,57.65,2019,2019/08/02,santa rita de cássia,2019,694797.0868461728 +Cerrado,baianópolis,10.47,2019,2019/06/20,baianópolis,2019,607436.7982445955 +Cerrado,formosa do rio preto,1.51,2019,2019/02/21,formosa do rio preto,2019,4220327.0016454905 +Cerrado,riachão das neves,14.93,2019,2019/04/26,riachão das neves,2019,580173.0040331781 +Cerrado,formosa do rio preto,426.1,2019,2019/08/31,formosa do rio preto,2019,4220327.0016454905 +Cerrado,riachão das neves,273.7,2019,2019/01/17,riachão das neves,2019,580173.0040331781 +Cerrado,barreiras,196.07,2019,2019/07/04,barreiras,2019,1568927.0175619423 +Mata Atlântica,iguaí,1.75,2019,2019/05/24,iguaí,2019,82227.19198989868 +Mata Atlântica,iguaí,1.57,2019,2019/03/29,iguaí,2019,82227.19198989868 +Mata Atlântica,jequié,8.94,2019,2019/04/06,jequié,2019,249169.2120203972 +Mata Atlântica,camamu,0.68,2019,2019/03/29,camamu,2019,221471.44368362427 +Mata Atlântica,igrapiúna,1.78,2019,2019/05/24,igrapiúna,2019,257694.0746061802 +Mata Atlântica,belmonte,4.08,2019,2019/04/15,belmonte,2019,390403.1881421805 +Cerrado,barreiras,21.52,2020,2020/04/03,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,15.21,2020,2020/02/03,riachão das neves,2020,1085054.2665590644 +Cerrado,baianópolis,41.39,2020,2020/05/05,baianópolis,2020,790814.9751247168 +Mata Atlântica,igrapiúna,9.25,2020,2020/02/12,igrapiúna,2020,378236.5840551853 +Cerrado,baianópolis,142.19,2020,2020/05/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,3.84,2020,2020/05/01,baianópolis,2020,790814.9751247168 +Cerrado,riachão das neves,5.06,2020,2020/06/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,15.89,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,10.48,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,16.2,2020,2020/06/01,cocos,2020,1218387.32458961 +Cerrado,correntina,8.11,2020,2020/06/01,correntina,2020,1060525.6563282013 +Cerrado,são desidério,127.66,2020,2020/02/01,são desidério,2020,3091203.197527945 +Cerrado,barreiras,21.09,2020,2020/07/01,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,28.55,2020,2020/07/01,barreiras,2020,1179766.0970728395 +Cerrado,baianópolis,15.85,2020,2020/08/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,168.35,2020,2020/09/01,baianópolis,2020,790814.9751247168 +Cerrado,santa rita de cássia,7.19,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,jaborandi,4.29,2020,2020/09/01,jaborandi,2020,1744004.154955864 +Cerrado,cotegipe,2.05,2020,2020/09/01,cotegipe,2020,559960.0834841728 +Cerrado,barreiras,12.14,2020,2020/09/01,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,12.91,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,5.26,2020,2020/09/07,cotegipe,2020,559960.0834841728 +Caatinga,jaborandi,6.04,2020,2020/09/15,jaborandi,2020,1744004.154955864 +Mata Atlântica,ilhéus,3.09,2020,2020/09/15,ilhéus,2020,191205.86366391185 +Cerrado,formosa do rio preto,23.45,2020,2020/10/23,formosa do rio preto,2020,3073766.4334418774 +Caatinga,santa rita de cássia,12.91,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,27.0,2020,2020/11/01,barreiras,2020,1179766.0970728395 +Mata Atlântica,belmonte,4.67,2020,2020/12/13,belmonte,2020,350558.8480718136 +Cerrado,santa rita de cássia,6.11,2021,2021/01/23,santa rita de cássia,2021,998700.5789114236 +Cerrado,luís eduardo magalhães,77.08,2021,2021/01/23,luís eduardo magalhães,2021,654262.0002045631 +Caatinga,santa rita de cássia,14.52,2021,2021/02/10,santa rita de cássia,2021,998700.5789114236 +Caatinga,jaborandi,5.39,2021,2021/02/01,jaborandi,2021,2051920.940728784 +Caatinga,barra,12.15,2021,2021/02/01,barra,2021,79058.81857037544 +Cerrado,formosa do rio preto,21.36,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Cerrado,correntina,1675.57,2021,2021/03/25,correntina,2021,1585476.3940644264 +Caatinga,cotegipe,10.97,2021,2021/03/22,cotegipe,2021,292547.2605621815 +Caatinga,santa rita de cássia,9.38,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,1.49,2021,2021/01/01,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,2.93,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,baianópolis,3.46,2021,2021/03/01,baianópolis,2021,1700892.2622466087 +Mata Atlântica,itagibá,15.31,2021,2021/05/21,itagibá,2021,111453.28504517674 +Caatinga,santa rita de cássia,14.7,2021,2021/05/25,santa rita de cássia,2021,998700.5789114236 +Cerrado,são desidério,24.96,2021,2021/04/01,são desidério,2021,3159579.701361537 +Cerrado,barreiras,1.44,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,são desidério,2.67,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,barra,2.54,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,cotegipe,0.59,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,barra,0.19,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,18.44,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,27.19,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,15.58,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,correntina,0.48,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,correntina,1.28,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,santa rita de cássia,1.63,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,3.5,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,5.25,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,2.98,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,3.92,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,4.97,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,5.98,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,16.71,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,12.59,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,7.5,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,21.56,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,cocos,6.24,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,cocos,0.15,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,barreiras,173.69,2021,2021/05/01,barreiras,2021,958306.347179532 +Cerrado,luís eduardo magalhães,825.56,2021,2021/07/01,luís eduardo magalhães,2021,654262.0002045631 +Mata Atlântica,itarantim,12.15,2021,2021/07/16,itarantim,2021,10405.33336520195 +Cerrado,formosa do rio preto,17.78,2021,2021/08/13,formosa do rio preto,2021,2299737.8741800785 +Caatinga,barra,4.94,2021,2021/08/01,barra,2021,79058.81857037544 +Caatinga,barra,20.66,2021,2021/08/01,barra,2021,79058.81857037544 +Caatinga,cotegipe,4.6,2021,2021/11/18,cotegipe,2021,292547.2605621815 +Cerrado,barreiras,133.26,2021,2021/12/13,barreiras,2021,958306.347179532 +Cerrado,formosa do rio preto,415.33,2021,2021/12/13,formosa do rio preto,2021,2299737.8741800785 +Caatinga,santa rita de cássia,6.73,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,56.72,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,12.65,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Cerrado,baianópolis,23.89,2021,2021/11/01,baianópolis,2021,1700892.2622466087 +Cerrado,cocos,25.34,2021,2021/01/20,cocos,2021,1229644.9681953788 +Cerrado,luís eduardo magalhães,87.72,2021,2021/02/01,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,formosa do rio preto,6.78,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,iguaí,3.0,2022,2022/03/31,iguaí,2022,277970.0 +Mata Atlântica,dário meira,0.69,2022,2022/03/31,dário meira,2022,217077.0 +Cerrado,são desidério,175.94,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,são desidério,88.01,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,riachão das neves,36.29,2022,2022/05/18,riachão das neves,2022,670183.0 +Cerrado,correntina,93.58,2022,2022/04/30,correntina,2022,1473135.0 +Cerrado,riachão das neves,114.11,2022,2022/02/01,riachão das neves,2022,670183.0 +Cerrado,santa rita de cássia,14.1,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,42.41,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,434.09,2022,2022/06/07,santa rita de cássia,2022,569631.0 +Mata Atlântica,itagibá,22.62,2022,2022/06/30,itagibá,2022,288483.0 +Mata Atlântica,maraú,1.1,2022,2022/06/30,maraú,2022,275953.0 +Cerrado,correntina,6.97,2022,2022/03/01,correntina,2022,1473135.0 +Cerrado,são desidério,1.04,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,formosa do rio preto,10.89,2022,2022/03/01,formosa do rio preto,2022,2432263.0 +Cerrado,barreiras,831.76,2022,2022/08/02,barreiras,2022,996163.0 +Cerrado,formosa do rio preto,428.29,2022,2022/08/04,formosa do rio preto,2022,2432263.0 +Cerrado,baianópolis,11.11,2022,2022/04/01,baianópolis,2022,413632.0 +Caatinga,correntina,12.29,2022,2022/04/01,correntina,2022,1473135.0 +Cerrado,são desidério,198.85,2022,2022/09/06,são desidério,2022,2729422.0 +Cerrado,são desidério,177.29,2022,2022/09/04,são desidério,2022,2729422.0 +Cerrado,barreiras,191.57,2019,2019/06/08,barreiras,2019,1568927.0175619423 +Mata Atlântica,encruzilhada,18.16,2019,2019/06/16,encruzilhada,2019,403895.9177992344 +Mata Atlântica,igrapiúna,1.21,2019,2019/06/09,igrapiúna,2019,257694.0746061802 +Mata Atlântica,belmonte,25.92,2019,2019/04/14,belmonte,2019,390403.1881421805 +Cerrado,riachão das neves,3.41,2019,2019/09/20,riachão das neves,2019,580173.0040331781 +Caatinga,santa rita de cássia,2.27,2019,2019/11/11,santa rita de cássia,2019,694797.0868461728 +Mata Atlântica,belmonte,27.48,2019,2019/11/09,belmonte,2019,390403.1881421805 +Cerrado,formosa do rio preto,134.4,2019,2019/12/16,formosa do rio preto,2019,4220327.0016454905 +Cerrado,cotegipe,3.06,2019,2019/05/13,cotegipe,2019,331163.8086628318 +Cerrado,baianópolis,12.58,2019,2019/11/05,baianópolis,2019,607436.7982445955 +Mata Atlântica,jequié,2.68,2019,2019/02/25,jequié,2019,249169.2120203972 +Cerrado,são desidério,21.26,2019,2019/01/29,são desidério,2019,2024107.6610826247 +Cerrado,barreiras,359.4,2019,2019/05/07,barreiras,2019,1568927.0175619423 +Cerrado,são desidério,5.99,2019,2019/04/17,são desidério,2019,2024107.6610826247 +Cerrado,cocos,13.36,2019,2019/04/03,cocos,2019,959394.147064954 +Cerrado,santa rita de cássia,54.0,2019,2019/08/02,santa rita de cássia,2019,694797.0868461728 +Mata Atlântica,camamu,10.59,2019,2019/03/29,camamu,2019,221471.44368362427 +Mata Atlântica,ilhéus,1.75,2019,2019/03/29,ilhéus,2019,158872.06799983978 +Mata Atlântica,guaratinga,1.36,2019,2019/02/25,guaratinga,2019,211708.01093423367 +Cerrado,riachão das neves,24.84,2020,2020/04/12,riachão das neves,2020,1085054.2665590644 +Caatinga,correntina,17.88,2020,2020/04/21,correntina,2020,1060525.6563282013 +Cerrado,são desidério,3.23,2020,2020/04/21,são desidério,2020,3091203.197527945 +Cerrado,luís eduardo magalhães,920.13,2020,2020/04/21,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,são desidério,67.3,2020,2020/01/31,são desidério,2020,3091203.197527945 +Cerrado,cocos,7.44,2020,2020/02/26,cocos,2020,1218387.32458961 +Cerrado,luís eduardo magalhães,523.75,2020,2020/05/05,luís eduardo magalhães,2020,1523413.1056941748 +Mata Atlântica,nilo peçanha,2.76,2020,2020/04/08,nilo peçanha,2020,154625.95725762844 +Mata Atlântica,encruzilhada,2.54,2020,2020/01/10,encruzilhada,2020,451620.4507952333 +Cerrado,baianópolis,13.7,2020,2020/05/01,baianópolis,2020,790814.9751247168 +Cerrado,correntina,247.35,2020,2020/05/28,correntina,2020,1060525.6563282013 +Cerrado,barreiras,8.52,2020,2020/06/20,barreiras,2020,1179766.0970728395 +Cerrado,formosa do rio preto,105.51,2020,2020/07/25,formosa do rio preto,2020,3073766.4334418774 +Caatinga,cotegipe,9.73,2020,2020/07/01,cotegipe,2020,559960.0834841728 +Caatinga,santa rita de cássia,148.31,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,43.76,2020,2020/08/01,baianópolis,2020,790814.9751247168 +Caatinga,barra,53.07,2020,2020/09/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,11.6,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,7.18,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,26.95,2021,2021/01/29,formosa do rio preto,2021,2299737.8741800785 +Cerrado,formosa do rio preto,16.51,2021,2021/01/29,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,encruzilhada,7.87,2021,2021/01/28,encruzilhada,2021,587315.3614428043 +Caatinga,cotegipe,3.62,2021,2021/03/22,cotegipe,2021,292547.2605621815 +Cerrado,são desidério,381.51,2021,2021/05/04,são desidério,2021,3159579.701361537 +Cerrado,santa rita de cássia,12.3,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 +Cerrado,formosa do rio preto,2.2,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 +Cerrado,baianópolis,3.81,2021,2021/01/01,baianópolis,2021,1700892.2622466087 +Caatinga,santa rita de cássia,7.67,2021,2021/03/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,luís eduardo magalhães,0.88,2021,2021/03/01,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,baianópolis,420.73,2021,2021/05/16,baianópolis,2021,1700892.2622466087 +Cerrado,baianópolis,50.71,2021,2021/05/10,baianópolis,2021,1700892.2622466087 +Caatinga,santa rita de cássia,5.35,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,0.87,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,5.28,2021,2021/05/30,cotegipe,2021,292547.2605621815 +Caatinga,jaborandi,1.69,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,formosa do rio preto,26.79,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,são desidério,7.62,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,75.39,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,luís eduardo magalhães,7.4,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 +Caatinga,santa rita de cássia,4.3,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,2.7,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,4.99,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,cotegipe,12.95,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,são desidério,1.07,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,2.21,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,0.75,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,formosa do rio preto,15.33,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,riachão das neves,11.41,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,barreiras,0.35,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,luís eduardo magalhães,0.74,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,formosa do rio preto,2.99,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,riachão das neves,12.72,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,13.3,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,55.54,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,6.18,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,cocos,2.01,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,baianópolis,68.51,2021,2021/07/21,baianópolis,2021,1700892.2622466087 +Cerrado,santa rita de cássia,0.79,2021,2021/06/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,jaborandi,1.01,2021,2021/06/01,jaborandi,2021,2051920.940728784 +Cerrado,santa rita de cássia,169.65,2021,2021/09/26,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,29.25,2021,2021/10/02,cotegipe,2021,292547.2605621815 +Cerrado,formosa do rio preto,330.05,2021,2021/10/16,formosa do rio preto,2021,2299737.8741800785 +Cerrado,jaborandi,3.8,2021,2021/08/01,jaborandi,2021,2051920.940728784 +Mata Atlântica,encruzilhada,19.66,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Mata Atlântica,encruzilhada,2.01,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Cerrado,riachão das neves,41.2,2021,2021/11/20,riachão das neves,2021,761963.2862440944 +Cerrado,riachão das neves,19.3,2021,2021/09/01,riachão das neves,2021,761963.2862440944 +Caatinga,cocos,23.93,2021,2021/10/01,cocos,2021,1229644.9681953788 +Cerrado,cocos,62.8,2021,2021/11/01,cocos,2021,1229644.9681953788 +Cerrado,santa rita de cássia,88.31,2021,2021/05/10,santa rita de cássia,2021,998700.5789114236 +Cerrado,baianópolis,107.16,2021,2021/06/02,baianópolis,2021,1700892.2622466087 +Caatinga,jaborandi,29.62,2021,2021/07/21,jaborandi,2021,2051920.940728784 +Cerrado,barreiras,70.11,2022,2022/05/09,barreiras,2022,996163.0 +Cerrado,são desidério,147.86,2022,2022/04/04,são desidério,2022,2729422.0 +Cerrado,riachão das neves,15.19,2022,2022/02/01,riachão das neves,2022,670183.0 +Caatinga,barra,1.26,2022,2022/02/01,barra,2022,312169.0 +Cerrado,são desidério,15.78,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,riachão das neves,8.51,2022,2022/03/01,riachão das neves,2022,670183.0 +Mata Atlântica,ibirapitanga,3.17,2022,2022/07/31,ibirapitanga,2022,292758.0 +Cerrado,santa rita de cássia,12.1,2022,2022/06/01,santa rita de cássia,2022,569631.0 +Cerrado,jaborandi,111.66,2019,2019/11/14,jaborandi,2019,1706967.7386553884 +Cerrado,cocos,261.27,2019,2019/10/16,cocos,2019,959394.147064954 +Cerrado,jaborandi,22.44,2019,2019/11/08,jaborandi,2019,1706967.7386553884 +Cerrado,jaborandi,10.04,2019,2019/11/11,jaborandi,2019,1706967.7386553884 +Cerrado,são desidério,226.2,2019,2019/12/14,são desidério,2019,2024107.6610826247 +Cerrado,santa rita de cássia,9.95,2019,2019/12/16,santa rita de cássia,2019,694797.0868461728 +Cerrado,barreiras,20.32,2019,2019/05/10,barreiras,2019,1568927.0175619423 +Cerrado,correntina,835.83,2019,2019/03/09,correntina,2019,1545572.943816781 +Cerrado,luís eduardo magalhães,42.13,2019,2019/05/10,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,barreiras,179.78,2019,2019/04/23,barreiras,2019,1568927.0175619423 +Cerrado,formosa do rio preto,11.79,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 +Cerrado,formosa do rio preto,13.05,2019,2019/03/02,formosa do rio preto,2019,4220327.0016454905 +Cerrado,santa rita de cássia,53.86,2019,2019/05/13,santa rita de cássia,2019,694797.0868461728 +Cerrado,santa rita de cássia,120.66,2019,2019/05/25,santa rita de cássia,2019,694797.0868461728 +Cerrado,são desidério,11.7,2019,2019/03/16,são desidério,2019,2024107.6610826247 +Mata Atlântica,nilo peçanha,3.62,2019,2019/03/29,nilo peçanha,2019,90276.49283427 +Mata Atlântica,valença,3.81,2019,2019/04/30,valença,2019,247673.75340151787 +Cerrado,luís eduardo magalhães,900.81,2020,2020/04/12,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,luís eduardo magalhães,741.18,2020,2020/04/12,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,luís eduardo magalhães,12.33,2020,2020/01/31,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,barreiras,211.76,2020,2020/03/29,barreiras,2020,1179766.0970728395 +Cerrado,correntina,116.42,2020,2020/05/11,correntina,2020,1060525.6563282013 +Mata Atlântica,ilhéus,1.21,2020,2020/01/28,ilhéus,2020,191205.86366391185 +Mata Atlântica,camamu,7.51,2020,2020/01/28,camamu,2020,434741.3974044919 +Mata Atlântica,ibirapitanga,0.98,2020,2020/04/16,ibirapitanga,2020,296362.889919281 +Mata Atlântica,iguaí,1.32,2020,2020/04/08,iguaí,2020,127471.2907333374 +Mata Atlântica,encruzilhada,8.81,2020,2020/02/12,encruzilhada,2020,451620.4507952333 +Cerrado,santa rita de cássia,9.01,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,9.23,2020,2020/06/01,cocos,2020,1218387.32458961 +Cerrado,cocos,9.12,2020,2020/06/01,cocos,2020,1218387.32458961 +Cerrado,cocos,3.43,2020,2020/06/01,cocos,2020,1218387.32458961 +Cerrado,santa rita de cássia,6.64,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,83.52,2020,2020/02/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,64.05,2020,2020/07/28,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,7.58,2020,2020/07/01,são desidério,2020,3091203.197527945 +Caatinga,santa rita de cássia,18.17,2020,2020/08/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,8.42,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,ilhéus,2.07,2020,2020/09/08,ilhéus,2020,191205.86366391185 +Cerrado,cocos,4.44,2020,2020/10/01,cocos,2020,1218387.32458961 +Caatinga,santa rita de cássia,2.63,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,4.52,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,7.41,2020,2020/11/01,baianópolis,2020,790814.9751247168 +Cerrado,formosa do rio preto,422.66,2020,2020/12/14,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,9.81,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,9.53,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,valença,4.76,2021,2021/02/06,valença,2021,195332.51262283325 +Cerrado,formosa do rio preto,7.43,2021,2021/02/01,formosa do rio preto,2021,2299737.8741800785 +Cerrado,jaborandi,11.52,2021,2021/03/13,jaborandi,2021,2051920.940728784 +Caatinga,santa rita de cássia,8.23,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 +Cerrado,correntina,144.44,2021,2021/04/14,correntina,2021,1585476.3940644264 +Mata Atlântica,igrapiúna,2.06,2021,2021/04/27,igrapiúna,2021,148621.67436516285 +Cerrado,jaborandi,627.72,2021,2021/05/04,jaborandi,2021,2051920.940728784 +Cerrado,santa rita de cássia,16.52,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 +Cerrado,santa rita de cássia,92.67,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,valença,4.56,2021,2021/05/13,valença,2021,195332.51262283325 +Mata Atlântica,ilhéus,3.91,2021,2021/05/13,ilhéus,2021,131715.1359180212 +Caatinga,barra,1.32,2021,2021/01/01,barra,2021,79058.81857037544 +Cerrado,riachão das neves,1035.72,2021,2021/03/01,riachão das neves,2021,761963.2862440944 +Caatinga,barra,1.25,2021,2021/03/01,barra,2021,79058.81857037544 +Cerrado,formosa do rio preto,1709.23,2021,2021/05/19,formosa do rio preto,2021,2299737.8741800785 +Caatinga,santa rita de cássia,4.26,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,correntina,745.12,2021,2021/06/17,correntina,2021,1585476.3940644264 +Mata Atlântica,belmonte,2.64,2021,2021/05/30,belmonte,2021,331485.0170983076 +Mata Atlântica,ibicuí,1.95,2021,2021/05/30,ibicuí,2021,27800.69570922852 +Caatinga,barra,0.28,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,cotegipe,1.58,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,santa rita de cássia,6.47,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,1.88,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,5.22,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,2.64,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,jaborandi,5.04,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,correntina,1.1,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,correntina,9.11,2020,2020/01/01,correntina,2020,1060525.6563282013 +Caatinga,correntina,0.69,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,2.86,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,3.51,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,4.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,20.86,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,6.28,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,barreiras,3.04,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,5.77,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,riachão das neves,16.15,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,formosa do rio preto,2.21,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,2.0,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,0.51,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,16.53,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,0.81,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,correntina,53.06,2021,2021/07/04,correntina,2021,1585476.3940644264 +Cerrado,baianópolis,103.08,2021,2021/06/01,baianópolis,2021,1700892.2622466087 +Cerrado,cotegipe,18.29,2021,2021/06/01,cotegipe,2021,292547.2605621815 +Mata Atlântica,ibirapitanga,8.17,2021,2021/08/17,ibirapitanga,2021,72436.60405349731 +Cerrado,cocos,58.26,2021,2021/09/11,cocos,2021,1229644.9681953788 +Cerrado,correntina,200.51,2021,2021/09/20,correntina,2021,1585476.3940644264 +Caatinga,santa rita de cássia,1.76,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,encruzilhada,4.28,2021,2021/09/01,encruzilhada,2021,587315.3614428043 +Caatinga,santa rita de cássia,8.35,2021,2021/11/17,santa rita de cássia,2021,998700.5789114236 +Cerrado,riachão das neves,241.66,2021,2021/12/13,riachão das neves,2021,761963.2862440944 +Caatinga,santa rita de cássia,5.94,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,2.13,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,12.56,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,cotegipe,212.93,2021,2021/03/05,cotegipe,2021,292547.2605621815 +Cerrado,baianópolis,9.04,2021,2021/03/13,baianópolis,2021,1700892.2622466087 +Cerrado,são desidério,28.18,2021,2021/05/04,são desidério,2021,3159579.701361537 +Cerrado,formosa do rio preto,37.9,2021,2021/07/07,formosa do rio preto,2021,2299737.8741800785 +Cerrado,santa rita de cássia,38.44,2021,2021/06/01,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,encruzilhada,1.53,2022,2022/02/28,encruzilhada,2022,414662.0 +Cerrado,santa rita de cássia,249.28,2022,2022/01/25,santa rita de cássia,2022,569631.0 +Cerrado,correntina,580.44,2022,2022/01/22,correntina,2022,1473135.0 +Cerrado,formosa do rio preto,22.34,2022,2022/01/25,formosa do rio preto,2022,2432263.0 +Cerrado,santa rita de cássia,37.39,2022,2022/01/25,santa rita de cássia,2022,569631.0 +Cerrado,riachão das neves,930.62,2022,2022/03/09,riachão das neves,2022,670183.0 +Cerrado,formosa do rio preto,373.0,2022,2022/05/09,formosa do rio preto,2022,2432263.0 +Cerrado,barreiras,289.89,2022,2022/04/04,barreiras,2022,996163.0 +Cerrado,riachão das neves,19.97,2022,2022/02/01,riachão das neves,2022,670183.0 +Cerrado,santa rita de cássia,12.66,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Mata Atlântica,encruzilhada,2.83,2022,2022/05/31,encruzilhada,2022,414662.0 +Mata Atlântica,valença,0.66,2022,2022/06/30,valença,2022,378871.0 +Mata Atlântica,itapetinga,6.03,2022,2022/06/30,itapetinga,2022,285382.0 +Cerrado,riachão das neves,10.73,2022,2022/03/01,riachão das neves,2022,670183.0 +Cerrado,riachão das neves,64.32,2022,2022/03/01,riachão das neves,2022,670183.0 +Cerrado,barreiras,3.04,2022,2022/03/01,barreiras,2022,996163.0 +Cerrado,são desidério,271.56,2022,2022/03/01,são desidério,2022,2729422.0 +Caatinga,jaborandi,17.06,2019,2019/10/28,jaborandi,2019,1706967.7386553884 +Mata Atlântica,belmonte,8.62,2019,2019/11/08,belmonte,2019,390403.1881421805 +Cerrado,cotegipe,531.73,2019,2019/11/23,cotegipe,2019,331163.8086628318 +Caatinga,santa rita de cássia,6.97,2019,2019/12/16,santa rita de cássia,2019,694797.0868461728 +Cerrado,barreiras,40.64,2019,2019/05/19,barreiras,2019,1568927.0175619423 +Cerrado,correntina,598.95,2019,2019/06/13,correntina,2019,1545572.943816781 +Caatinga,santa rita de cássia,22.67,2019,2019/06/20,santa rita de cássia,2019,694797.0868461728 +Cerrado,cocos,12.15,2019,2019/07/10,cocos,2019,959394.147064954 +Cerrado,luís eduardo magalhães,7.38,2019,2019/02/21,luís eduardo magalhães,2019,800435.7103590965 +Caatinga,santa rita de cássia,4.47,2019,2019/03/31,santa rita de cássia,2019,694797.0868461728 +Cerrado,barreiras,18.83,2019,2019/01/06,barreiras,2019,1568927.0175619423 +Cerrado,formosa do rio preto,741.04,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 +Cerrado,correntina,664.73,2019,2019/04/23,correntina,2019,1545572.943816781 +Cerrado,jaborandi,19.6,2019,2019/05/07,jaborandi,2019,1706967.7386553884 +Cerrado,barreiras,2.65,2019,2019/02/24,barreiras,2019,1568927.0175619423 +Cerrado,santa rita de cássia,0.37,2019,2019/02/13,santa rita de cássia,2019,694797.0868461728 +Cerrado,formosa do rio preto,40.85,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 +Cerrado,cocos,124.54,2019,2019/06/20,cocos,2019,959394.147064954 +Cerrado,luís eduardo magalhães,8.0,2019,2019/05/10,luís eduardo magalhães,2019,800435.7103590965 +Mata Atlântica,jequié,16.18,2019,2019/04/06,jequié,2019,249169.2120203972 +Cerrado,luís eduardo magalhães,83.28,2020,2020/01/11,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,são desidério,462.88,2020,2020/05/11,são desidério,2020,3091203.197527945 +Cerrado,correntina,5.99,2020,2020/01/08,correntina,2020,1060525.6563282013 +Mata Atlântica,ilhéus,0.57,2020,2020/01/12,ilhéus,2020,191205.86366391185 +Mata Atlântica,camamu,1.68,2020,2020/04/16,camamu,2020,434741.3974044919 +Mata Atlântica,valença,1.85,2020,2020/04/16,valença,2020,427637.707020998 +Cerrado,baianópolis,11.6,2020,2020/05/01,baianópolis,2020,790814.9751247168 +Cerrado,santa rita de cássia,10.23,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,55.76,2020,2020/05/25,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,379.49,2020,2020/06/09,barreiras,2020,1179766.0970728395 +Caatinga,correntina,1.92,2020,2020/07/01,correntina,2020,1060525.6563282013 +Cerrado,santa rita de cássia,4.64,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,2.71,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,2.45,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,8.93,2020,2020/08/01,cocos,2020,1218387.32458961 +Cerrado,correntina,3.67,2020,2020/09/01,correntina,2020,1060525.6563282013 +Mata Atlântica,iguaí,5.51,2020,2020/09/01,iguaí,2020,127471.2907333374 +Caatinga,santa rita de cássia,4.27,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,17.76,2020,2020/10/01,correntina,2020,1060525.6563282013 +Cerrado,santa rita de cássia,27.41,2020,2020/11/29,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,52.77,2020,2020/12/17,cotegipe,2020,559960.0834841728 +Mata Atlântica,ibirapitanga,1.21,2020,2020/12/12,ibirapitanga,2020,296362.889919281 +Caatinga,cotegipe,7.34,2020,2020/12/01,cotegipe,2020,559960.0834841728 +Mata Atlântica,guaratinga,2.14,2021,2021/02/22,guaratinga,2021,171742.56461274624 +Cerrado,cotegipe,30.84,2021,2021/03/05,cotegipe,2021,292547.2605621815 +Caatinga,santa rita de cássia,5.62,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 +Cerrado,formosa do rio preto,146.8,2021,2021/03/25,formosa do rio preto,2021,2299737.8741800785 +Cerrado,cotegipe,2.23,2021,2021/01/01,cotegipe,2021,292547.2605621815 +Cerrado,barreiras,1.83,2021,2021/03/01,barreiras,2021,958306.347179532 +Cerrado,baianópolis,24.23,2021,2021/05/10,baianópolis,2021,1700892.2622466087 +Cerrado,cocos,4.31,2021,2021/04/01,cocos,2021,1229644.9681953788 +Caatinga,barra,1.19,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,cotegipe,1.61,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,barreiras,5.28,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,são desidério,2.08,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,3.35,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,16.95,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,são desidério,1.19,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,5.98,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,barra,0.91,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,baianópolis,1.0,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,6.9,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,3.94,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,santa rita de cássia,1.21,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,5.93,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,5.1,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Caatinga,santa rita de cássia,3.11,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,2.47,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,9.08,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,4.97,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cocos,1.61,2020,2020/01/01,cocos,2020,1218387.32458961 +Caatinga,cocos,0.61,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,barreiras,77.2,2021,2021/05/01,barreiras,2021,958306.347179532 +Caatinga,santa rita de cássia,256.61,2021,2021/07/07,santa rita de cássia,2021,998700.5789114236 +Cerrado,baianópolis,1253.39,2021,2021/06/01,baianópolis,2021,1700892.2622466087 +Cerrado,barreiras,2.71,2021,2021/08/02,barreiras,2021,958306.347179532 +Cerrado,são desidério,10.54,2021,2021/07/01,são desidério,2021,3159579.701361537 +Mata Atlântica,iguaí,6.34,2021,2021/09/18,iguaí,2021,155962.6907043457 +Cerrado,cotegipe,13.01,2021,2021/11/01,cotegipe,2021,292547.2605621815 +Cerrado,cotegipe,15.74,2021,2021/12/01,cotegipe,2021,292547.2605621815 +Cerrado,são desidério,323.11,2021,2021/01/09,são desidério,2021,3159579.701361537 +Cerrado,são desidério,21.85,2021,2021/03/28,são desidério,2021,3159579.701361537 +Caatinga,santa rita de cássia,29.34,2021,2021/05/10,santa rita de cássia,2021,998700.5789114236 +Cerrado,riachão das neves,32.84,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Mata Atlântica,encruzilhada,3.39,2022,2022/01/31,encruzilhada,2022,414662.0 +Mata Atlântica,iguaí,6.75,2022,2022/02/28,iguaí,2022,277970.0 +Mata Atlântica,encruzilhada,5.21,2022,2022/02/28,encruzilhada,2022,414662.0 +Cerrado,são desidério,103.59,2022,2022/01/19,são desidério,2022,2729422.0 +Cerrado,jaborandi,869.73,2022,2022/03/27,jaborandi,2022,1734316.0 +Cerrado,são desidério,153.3,2022,2022/01/01,são desidério,2022,2729422.0 +Cerrado,correntina,735.63,2022,2022/05/03,correntina,2022,1473135.0 +Cerrado,barreiras,30.58,2022,2022/05/18,barreiras,2022,996163.0 +Cerrado,jaborandi,17.06,2022,2022/04/25,jaborandi,2022,1734316.0 +Cerrado,santa rita de cássia,2.68,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Mata Atlântica,maraú,0.49,2022,2022/06/30,maraú,2022,275953.0 +Mata Atlântica,camamu,0.36,2022,2022/06/30,camamu,2022,232571.0 +Mata Atlântica,camamu,0.31,2022,2022/06/30,camamu,2022,232571.0 +Cerrado,são desidério,1606.64,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,baianópolis,12.44,2022,2022/03/01,baianópolis,2022,413632.0 +Cerrado,barreiras,10.6,2022,2022/03/01,barreiras,2022,996163.0 +Cerrado,santa rita de cássia,2.39,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Cerrado,são desidério,6.09,2022,2022/03/01,são desidério,2022,2729422.0 +Caatinga,barra,6.35,2022,2022/03/01,barra,2022,312169.0 +Cerrado,cocos,127.25,2022,2022/08/01,cocos,2022,367625.0 +Caatinga,barra,0.81,2022,2022/04/01,barra,2022,312169.0 +Caatinga,jaborandi,2.62,2022,2022/04/01,jaborandi,2022,1734316.0 +Caatinga,barra,2.23,2022,2022/04/01,barra,2022,312169.0 +Mata Atlântica,ilhéus,4.59,2022,2022/07/31,ilhéus,2022,209209.0 +Cerrado,formosa do rio preto,7.22,2022,2022/09/21,formosa do rio preto,2022,2432263.0 +Cerrado,jaborandi,645.02,2019,2019/08/28,jaborandi,2019,1706967.7386553884 +Cerrado,baianópolis,22.99,2019,2019/11/20,baianópolis,2019,607436.7982445955 +Cerrado,riachão das neves,3.86,2019,2019/09/20,riachão das neves,2019,580173.0040331781 +Cerrado,correntina,11.95,2019,2019/11/11,correntina,2019,1545572.943816781 +Mata Atlântica,ilhéus,2.09,2019,2019/11/17,ilhéus,2019,158872.06799983978 +Mata Atlântica,itagibá,7.65,2019,2019/11/08,itagibá,2019,121675.55451917648 +Cerrado,luís eduardo magalhães,8.11,2019,2019/12/16,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,barreiras,8.66,2019,2019/02/24,barreiras,2019,1568927.0175619423 +Cerrado,formosa do rio preto,409.9,2019,2019/01/29,formosa do rio preto,2019,4220327.0016454905 +Cerrado,formosa do rio preto,15.82,2019,2019/01/09,formosa do rio preto,2019,4220327.0016454905 +Cerrado,barreiras,0.34,2019,2019/03/31,barreiras,2019,1568927.0175619423 +Cerrado,cotegipe,55.24,2019,2019/03/05,cotegipe,2019,331163.8086628318 +Cerrado,riachão das neves,330.45,2019,2019/05/22,riachão das neves,2019,580173.0040331781 +Cerrado,formosa do rio preto,197.54,2019,2019/05/27,formosa do rio preto,2019,4220327.0016454905 +Cerrado,formosa do rio preto,13.05,2019,2019/01/17,formosa do rio preto,2019,4220327.0016454905 +Caatinga,santa rita de cássia,6.14,2019,2019/04/23,santa rita de cássia,2019,694797.0868461728 +Caatinga,barra,26.94,2019,2019/08/08,barra,2019,226011.0523688793 +Mata Atlântica,belmonte,7.09,2019,2019/04/15,belmonte,2019,390403.1881421805 +Mata Atlântica,itambé,5.39,2019,2019/04/06,itambé,2019,100107.73387336732 +Mata Atlântica,valença,4.82,2019,2019/03/13,valença,2019,247673.75340151787 +Cerrado,correntina,113.3,2020,2020/01/11,correntina,2020,1060525.6563282013 +Cerrado,correntina,25.66,2020,2020/01/19,correntina,2020,1060525.6563282013 +Mata Atlântica,camamu,2.19,2020,2020/04/24,camamu,2020,434741.3974044919 +Mata Atlântica,ibirapitanga,5.23,2020,2020/04/24,ibirapitanga,2020,296362.889919281 +Mata Atlântica,itagibá,0.67,2020,2020/04/08,itagibá,2020,72102.08046793938 +Caatinga,jequié,4.56,2020,2020/02/11,jequié,2020,186265.72844171524 +Cerrado,baianópolis,42.0,2020,2020/05/01,baianópolis,2020,790814.9751247168 +Caatinga,cotegipe,76.55,2020,2020/06/01,cotegipe,2020,559960.0834841728 +Caatinga,cotegipe,5.43,2020,2020/02/01,cotegipe,2020,559960.0834841728 +Mata Atlântica,encruzilhada,22.08,2020,2020/06/30,encruzilhada,2020,451620.4507952333 +Cerrado,são desidério,5.07,2020,2020/06/06,são desidério,2020,3091203.197527945 +Cerrado,são desidério,298.01,2020,2020/07/22,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,3.9,2020,2020/07/01,baianópolis,2020,790814.9751247168 +Cerrado,cocos,6.05,2020,2020/07/01,cocos,2020,1218387.32458961 +Cerrado,barreiras,34.18,2020,2020/08/01,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,4.35,2020,2020/09/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,1.34,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,4.35,2020,2020/09/30,baianópolis,2020,790814.9751247168 +Mata Atlântica,iguaí,35.42,2020,2020/10/09,iguaí,2020,127471.2907333374 +Mata Atlântica,camamu,0.67,2020,2020/10/25,camamu,2020,434741.3974044919 +Cerrado,baianópolis,13.17,2020,2020/11/24,baianópolis,2020,790814.9751247168 +Caatinga,jaborandi,5.04,2020,2020/12/01,jaborandi,2020,1744004.154955864 +Mata Atlântica,ilhéus,1.67,2020,2020/12/29,ilhéus,2020,191205.86366391185 +Mata Atlântica,nilo peçanha,1.39,2021,2021/02/14,nilo peçanha,2021,59568.41939795017 +Mata Atlântica,nilo peçanha,1.23,2021,2021/02/14,nilo peçanha,2021,59568.41939795017 +Cerrado,correntina,11.69,2021,2021/03/13,correntina,2021,1585476.3940644264 +Cerrado,riachão das neves,3.18,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Cerrado,formosa do rio preto,6.06,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 +Cerrado,são desidério,2.51,2021,2021/01/01,são desidério,2021,3159579.701361537 +Cerrado,baianópolis,4.12,2021,2021/03/01,baianópolis,2021,1700892.2622466087 +Caatinga,cotegipe,14.21,2021,2021/05/22,cotegipe,2021,292547.2605621815 +Caatinga,santa rita de cássia,5.12,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,belmonte,6.55,2021,2021/06/14,belmonte,2021,331485.0170983076 +Mata Atlântica,encruzilhada,12.2,2021,2021/05/30,encruzilhada,2021,587315.3614428043 +Cerrado,luís eduardo magalhães,1.46,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,correntina,12.24,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,jaborandi,1.27,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,barreiras,5.42,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,5.69,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,5.33,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,4.63,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,2.3,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,3.42,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,10.96,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,19.53,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,4.53,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,1.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,1.87,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,santa rita de cássia,1.1,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,2.4,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,jaborandi,6.79,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,baianópolis,3.71,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,correntina,0.62,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,santa rita de cássia,8.87,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,1.04,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,6.02,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,0.45,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,9.65,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,2.14,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cocos,7.39,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,riachão das neves,9.86,2021,2021/07/01,riachão das neves,2021,761963.2862440944 +Caatinga,jaborandi,9.13,2021,2021/07/07,jaborandi,2021,2051920.940728784 +Cerrado,barreiras,114.2,2021,2021/07/01,barreiras,2021,958306.347179532 +Caatinga,jaborandi,20.93,2021,2021/09/06,jaborandi,2021,2051920.940728784 +Cerrado,santa rita de cássia,9.45,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,89.06,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,belmonte,2.48,2021,2021/09/01,belmonte,2021,331485.0170983076 +Cerrado,são desidério,1506.46,2021,2021/11/17,são desidério,2021,3159579.701361537 +Mata Atlântica,jequié,2.69,2021,2021/11/21,jequié,2021,163926.43447589874 +Cerrado,baianópolis,56.96,2021,2021/11/17,baianópolis,2021,1700892.2622466087 +Caatinga,barra,1.31,2021,2021/09/01,barra,2021,79058.81857037544 +Caatinga,cotegipe,69.02,2021,2021/07/24,cotegipe,2021,292547.2605621815 +Mata Atlântica,itambé,11.3,2022,2022/02/28,itambé,2022,227632.0 +Mata Atlântica,nilo peçanha,0.88,2022,2022/03/31,nilo peçanha,2022,238334.0 +Cerrado,formosa do rio preto,1260.73,2022,2022/05/09,formosa do rio preto,2022,2432263.0 +Cerrado,barreiras,503.58,2022,2022/04/04,barreiras,2022,996163.0 +Cerrado,são desidério,84.98,2022,2022/04/07,são desidério,2022,2729422.0 +Cerrado,santa rita de cássia,5.82,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,são desidério,20.72,2022,2022/06/04,são desidério,2022,2729422.0 +Mata Atlântica,valença,0.72,2022,2022/06/30,valença,2022,378871.0 +Mata Atlântica,itagibá,9.24,2022,2022/06/30,itagibá,2022,288483.0 +Mata Atlântica,valença,0.56,2022,2022/06/30,valença,2022,378871.0 +Cerrado,baianópolis,5.64,2022,2022/03/01,baianópolis,2022,413632.0 +Cerrado,baianópolis,18.65,2022,2022/03/01,baianópolis,2022,413632.0 +Cerrado,santa rita de cássia,42.35,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Caatinga,barra,25.38,2022,2022/03/01,barra,2022,312169.0 +Cerrado,são desidério,19.17,2022,2022/03/01,são desidério,2022,2729422.0 +Caatinga,barra,4.29,2022,2022/03/01,barra,2022,312169.0 +Cerrado,luís eduardo magalhães,729.73,2022,2022/08/12,luís eduardo magalhães,2022,343098.0 +Cerrado,formosa do rio preto,98.87,2022,2022/08/04,formosa do rio preto,2022,2432263.0 +Mata Atlântica,camamu,0.89,2022,2022/07/31,camamu,2022,232571.0 +Mata Atlântica,encruzilhada,0.92,2022,2022/07/31,encruzilhada,2022,414662.0 +Cerrado,barreiras,553.66,2019,2019/09/11,barreiras,2019,1568927.0175619423 +Cerrado,barreiras,57.0,2019,2019/09/20,barreiras,2019,1568927.0175619423 +Caatinga,jaborandi,31.69,2019,2019/10/28,jaborandi,2019,1706967.7386553884 +Cerrado,cocos,4.1,2019,2019/10/31,cocos,2019,959394.147064954 +Caatinga,cotegipe,4.63,2019,2019/11/23,cotegipe,2019,331163.8086628318 +Cerrado,baianópolis,17.09,2019,2019/04/29,baianópolis,2019,607436.7982445955 +Cerrado,são desidério,1.84,2019,2019/04/17,são desidério,2019,2024107.6610826247 +Cerrado,riachão das neves,174.75,2019,2019/03/02,riachão das neves,2019,580173.0040331781 +Mata Atlântica,iguaí,2.58,2019,2019/01/08,iguaí,2019,82227.19198989868 +Mata Atlântica,igrapiúna,1.41,2019,2019/01/16,igrapiúna,2019,257694.0746061802 +Cerrado,santa rita de cássia,68.99,2020,2020/02/26,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,18.02,2020,2020/01/25,formosa do rio preto,2020,3073766.4334418774 +Mata Atlântica,valença,2.66,2020,2020/04/08,valença,2020,427637.707020998 +Mata Atlântica,guaratinga,2.48,2020,2020/04/08,guaratinga,2020,251656.63093233109 +Mata Atlântica,encruzilhada,141.83,2020,2020/04/24,encruzilhada,2020,451620.4507952333 +Cerrado,santa rita de cássia,45.69,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,5.15,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,153.9,2020,2020/02/01,são desidério,2020,3091203.197527945 +Mata Atlântica,valença,6.94,2020,2020/06/30,valença,2020,427637.707020998 +Cerrado,correntina,275.07,2020,2020/05/28,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,121.15,2020,2020/06/06,baianópolis,2020,790814.9751247168 +Cerrado,correntina,1.76,2020,2020/05/31,correntina,2020,1060525.6563282013 +Cerrado,santa rita de cássia,21.47,2020,2020/06/09,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,233.7,2020,2020/06/12,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,5.95,2020,2020/07/05,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,8.26,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,11.95,2020,2020/09/01,cotegipe,2020,559960.0834841728 +Cerrado,barreiras,6.8,2020,2020/09/15,barreiras,2020,1179766.0970728395 +Caatinga,cotegipe,16.46,2020,2020/09/21,cotegipe,2020,559960.0834841728 +Cerrado,luís eduardo magalhães,3.52,2020,2020/09/24,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,jaborandi,299.33,2020,2020/09/30,jaborandi,2020,1744004.154955864 +Mata Atlântica,ibirapitanga,19.34,2020,2020/10/09,ibirapitanga,2020,296362.889919281 +Cerrado,santa rita de cássia,18.87,2020,2020/10/26,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,14.04,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,11.05,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,16.33,2020,2020/11/14,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,belmonte,4.17,2020,2020/12/12,belmonte,2020,350558.8480718136 +Mata Atlântica,dário meira,4.19,2020,2020/12/12,dário meira,2020,92504.77269613744 +Cerrado,riachão das neves,2.17,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 +Caatinga,barreiras,25.94,2021,2021/03/13,barreiras,2021,958306.347179532 +Cerrado,correntina,65.66,2021,2021/03/13,correntina,2021,1585476.3940644264 +Cerrado,formosa do rio preto,20.68,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,camamu,5.23,2021,2021/03/02,camamu,2021,163548.15982496738 +Cerrado,formosa do rio preto,627.77,2021,2021/04/05,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,ibirapitanga,1.29,2021,2021/04/19,ibirapitanga,2021,72436.60405349731 +Caatinga,santa rita de cássia,5.96,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,são desidério,2.8,2021,2021/01/01,são desidério,2021,3159579.701361537 +Cerrado,são desidério,2.61,2021,2021/01/01,são desidério,2021,3159579.701361537 +Cerrado,baianópolis,0.48,2021,2021/03/01,baianópolis,2021,1700892.2622466087 +Cerrado,correntina,33.34,2021,2021/04/01,correntina,2021,1585476.3940644264 +Caatinga,santa rita de cássia,1.48,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cocos,12.57,2021,2021/04/01,cocos,2021,1229644.9681953788 +Caatinga,cotegipe,38.59,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,barra,0.57,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,baianópolis,1.65,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,são desidério,4.96,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,3.95,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,2.02,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,barra,2.84,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.48,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,2.06,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,baianópolis,1.28,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,17.64,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Caatinga,correntina,1.74,2020,2020/01/01,correntina,2020,1060525.6563282013 +Caatinga,barra,2.33,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,2.1,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,32.5,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,2.78,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,11.49,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,4.42,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,formosa do rio preto,9.88,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,4.59,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,10.73,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,43.61,2021,2021/07/21,baianópolis,2021,1700892.2622466087 +Caatinga,jaborandi,7.12,2021,2021/08/02,jaborandi,2021,2051920.940728784 +Cerrado,barreiras,10.84,2021,2021/08/05,barreiras,2021,958306.347179532 +Cerrado,barreiras,48.03,2021,2021/08/16,barreiras,2021,958306.347179532 +Mata Atlântica,dário meira,3.77,2021,2021/09/18,dário meira,2021,101797.88742160796 +Cerrado,santa rita de cássia,60.41,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 +Cerrado,santa rita de cássia,52.11,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 +Cerrado,barreiras,365.01,2021,2021/08/01,barreiras,2021,958306.347179532 +Mata Atlântica,encruzilhada,7.8,2021,2021/11/01,encruzilhada,2021,587315.3614428043 +Mata Atlântica,ilhéus,7.59,2021,2021/11/21,ilhéus,2021,131715.1359180212 +Caatinga,santa rita de cássia,11.9,2021,2021/11/17,santa rita de cássia,2021,998700.5789114236 +Cerrado,barreiras,48.75,2021,2021/12/13,barreiras,2021,958306.347179532 +Caatinga,santa rita de cássia,7.76,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,0.93,2021,2021/09/01,barra,2021,79058.81857037544 +Caatinga,barra,0.6,2021,2021/11/01,barra,2021,79058.81857037544 +Cerrado,correntina,624.46,2021,2021/05/04,correntina,2021,1585476.3940644264 +Cerrado,cocos,1517.48,2021,2021/05/04,cocos,2021,1229644.9681953788 +Cerrado,barreiras,18.27,2021,2021/01/01,barreiras,2021,958306.347179532 +Mata Atlântica,jequié,3.64,2022,2022/02/28,jequié,2022,498001.0 +Mata Atlântica,belmonte,4.31,2022,2022/03/31,belmonte,2022,354868.0 +Mata Atlântica,dário meira,2.76,2022,2022/03/31,dário meira,2022,217077.0 +Cerrado,são desidério,19.17,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,são desidério,352.47,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,são desidério,158.45,2022,2022/05/21,são desidério,2022,2729422.0 +Cerrado,santa rita de cássia,103.42,2022,2022/05/21,santa rita de cássia,2022,569631.0 +Mata Atlântica,guaratinga,1.91,2022,2022/06/30,guaratinga,2022,243882.0 +Mata Atlântica,encruzilhada,6.85,2022,2022/06/30,encruzilhada,2022,414662.0 +Cerrado,barreiras,296.51,2022,2022/04/25,barreiras,2022,996163.0 +Cerrado,riachão das neves,284.54,2022,2022/06/04,riachão das neves,2022,670183.0 +Cerrado,jaborandi,13.32,2022,2022/03/01,jaborandi,2022,1734316.0 +Caatinga,barra,4.55,2022,2022/03/01,barra,2022,312169.0 +Caatinga,barra,4.03,2022,2022/03/01,barra,2022,312169.0 +Cerrado,barreiras,24.17,2022,2022/03/01,barreiras,2022,996163.0 +Caatinga,cotegipe,6.84,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,jaborandi,370.25,2022,2022/07/30,jaborandi,2022,1734316.0 +Cerrado,são desidério,1082.13,2022,2022/07/23,são desidério,2022,2729422.0 +Cerrado,correntina,77.73,2022,2022/08/12,correntina,2022,1473135.0 +Cerrado,formosa do rio preto,10.28,2022,2022/08/01,formosa do rio preto,2022,2432263.0 +Cerrado,santa rita de cássia,106.57,2022,2022/09/11,santa rita de cássia,2022,569631.0 +Cerrado,são desidério,105.16,2022,2022/09/26,são desidério,2022,2729422.0 +Cerrado,formosa do rio preto,32.52,2022,2022/09/21,formosa do rio preto,2022,2432263.0 +Cerrado,baianópolis,14.44,2022,2022/09/28,baianópolis,2022,413632.0 +Cerrado,jaborandi,0.97,2019,2019/09/11,jaborandi,2019,1706967.7386553884 +Cerrado,correntina,9.55,2019,2019/09/06,correntina,2019,1545572.943816781 +Caatinga,santa rita de cássia,25.55,2019,2019/10/28,santa rita de cássia,2019,694797.0868461728 +Cerrado,cotegipe,21.95,2019,2019/11/28,cotegipe,2019,331163.8086628318 +Caatinga,santa rita de cássia,3.77,2019,2019/12/16,santa rita de cássia,2019,694797.0868461728 +Caatinga,santa rita de cássia,1050.92,2019,2019/06/08,santa rita de cássia,2019,694797.0868461728 +Caatinga,correntina,3.16,2019,2019/05/02,correntina,2019,1545572.943816781 +Cerrado,santa rita de cássia,6.23,2019,2019/05/22,santa rita de cássia,2019,694797.0868461728 +Cerrado,formosa do rio preto,117.02,2019,2019/07/31,formosa do rio preto,2019,4220327.0016454905 +Caatinga,santa rita de cássia,4.22,2019,2019/05/07,santa rita de cássia,2019,694797.0868461728 +Caatinga,santa rita de cássia,43.52,2019,2019/02/21,santa rita de cássia,2019,694797.0868461728 +Cerrado,baianópolis,11.01,2019,2019/06/08,baianópolis,2019,607436.7982445955 +Cerrado,cocos,13.92,2019,2019/04/03,cocos,2019,959394.147064954 +Cerrado,são desidério,282.0,2019,2019/05/13,são desidério,2019,2024107.6610826247 +Mata Atlântica,maraú,5.14,2019,2019/07/12,maraú,2019,80207.4920681715 +Cerrado,formosa do rio preto,24.08,2020,2020/05/14,formosa do rio preto,2020,3073766.4334418774 +Cerrado,barreiras,202.59,2020,2020/05/14,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,5.6,2020,2020/04/27,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,16.28,2020,2020/01/11,riachão das neves,2020,1085054.2665590644 +Cerrado,formosa do rio preto,5084.77,2020,2020/02/11,formosa do rio preto,2020,3073766.4334418774 +Mata Atlântica,camamu,1.59,2020,2020/02/20,camamu,2020,434741.3974044919 +Mata Atlântica,valença,19.9,2020,2020/04/16,valença,2020,427637.707020998 +Mata Atlântica,valença,3.13,2020,2020/04/16,valença,2020,427637.707020998 +Mata Atlântica,igrapiúna,2.18,2020,2020/03/31,igrapiúna,2020,378236.5840551853 +Mata Atlântica,camamu,1.02,2020,2020/05/02,camamu,2020,434741.3974044919 +Mata Atlântica,nilo peçanha,0.89,2020,2020/04/08,nilo peçanha,2020,154625.95725762844 +Mata Atlântica,dário meira,22.62,2020,2020/04/08,dário meira,2020,92504.77269613744 +Caatinga,cotegipe,8.53,2020,2020/02/01,cotegipe,2020,559960.0834841728 +Mata Atlântica,valença,2.49,2020,2020/06/19,valença,2020,427637.707020998 +Cerrado,são desidério,19.76,2020,2020/06/26,são desidério,2020,3091203.197527945 +Cerrado,santa rita de cássia,43.64,2020,2020/05/31,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,20.41,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,41.55,2020,2020/07/01,são desidério,2020,3091203.197527945 +Cerrado,formosa do rio preto,4.33,2020,2020/07/01,formosa do rio preto,2020,3073766.4334418774 +Caatinga,jaborandi,2.85,2020,2020/07/01,jaborandi,2020,1744004.154955864 +Caatinga,barra,70.03,2020,2020/07/01,barra,2020,139778.05993533134 +Mata Atlântica,ilhéus,1.65,2020,2020/07/21,ilhéus,2020,191205.86366391185 +Caatinga,jaborandi,6.23,2020,2020/09/01,jaborandi,2020,1744004.154955864 +Caatinga,santa rita de cássia,303.91,2020,2020/09/15,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,72.15,2020,2020/09/21,barreiras,2020,1179766.0970728395 +Cerrado,formosa do rio preto,8.95,2020,2020/10/08,formosa do rio preto,2020,3073766.4334418774 +Caatinga,santa rita de cássia,3.05,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,28.21,2020,2020/10/01,cotegipe,2020,559960.0834841728 +Cerrado,baianópolis,4.6,2020,2020/11/24,baianópolis,2020,790814.9751247168 +Cerrado,barreiras,16.24,2020,2020/12/31,barreiras,2020,1179766.0970728395 +Caatinga,santa rita de cássia,9.3,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,1.69,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 +Mata Atlântica,belmonte,11.35,2021,2021/01/06,belmonte,2021,331485.0170983076 +Mata Atlântica,dário meira,2.19,2021,2021/02/14,dário meira,2021,101797.88742160796 +Cerrado,cocos,131.8,2021,2021/02/01,cocos,2021,1229644.9681953788 +Cerrado,formosa do rio preto,9.46,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Cerrado,formosa do rio preto,5.84,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Caatinga,santa rita de cássia,6.62,2021,2021/03/02,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,belmonte,5.04,2021,2021/03/02,belmonte,2021,331485.0170983076 +Cerrado,barreiras,6.85,2021,2021/03/22,barreiras,2021,958306.347179532 +Caatinga,santa rita de cássia,30.23,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 +Cerrado,jaborandi,418.99,2021,2021/03/25,jaborandi,2021,2051920.940728784 +Mata Atlântica,iguaí,2.51,2021,2021/04/19,iguaí,2021,155962.6907043457 +Cerrado,são desidério,21.63,2021,2021/01/01,são desidério,2021,3159579.701361537 +Cerrado,correntina,0.75,2021,2021/01/01,correntina,2021,1585476.3940644264 +Caatinga,cotegipe,9.57,2021,2021/01/01,cotegipe,2021,292547.2605621815 +Cerrado,riachão das neves,5.99,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Cerrado,baianópolis,60.67,2021,2021/03/01,baianópolis,2021,1700892.2622466087 +Mata Atlântica,ilhéus,0.99,2021,2021/05/14,ilhéus,2021,131715.1359180212 +Cerrado,santa rita de cássia,1.2,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,formosa do rio preto,2.4,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,são desidério,2.95,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,3.35,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,são desidério,1.82,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,barra,0.57,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.33,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,3.11,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,cotegipe,2.15,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,cotegipe,1.02,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,santa rita de cássia,1.58,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,5.74,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,7.31,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,santa rita de cássia,1.11,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,10.98,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,11.44,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,1.46,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,formosa do rio preto,1.5,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,3.06,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Caatinga,santa rita de cássia,2.73,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,30.96,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,12.77,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,8.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,5.07,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,formosa do rio preto,5.25,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,9.56,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cocos,2.5,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,santa rita de cássia,8.61,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,2.97,2021,2021/05/01,barra,2021,79058.81857037544 +Cerrado,santa rita de cássia,271.39,2021,2021/07/07,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,13.29,2021,2021/07/27,santa rita de cássia,2021,998700.5789114236 +Caatinga,jaborandi,27.42,2021,2021/08/02,jaborandi,2021,2051920.940728784 +Caatinga,jaborandi,6.53,2021,2021/08/02,jaborandi,2021,2051920.940728784 +Caatinga,jaborandi,5.19,2021,2021/08/02,jaborandi,2021,2051920.940728784 +Cerrado,são desidério,240.61,2021,2021/08/22,são desidério,2021,3159579.701361537 +Cerrado,barreiras,16.67,2021,2021/07/01,barreiras,2021,958306.347179532 +Cerrado,formosa do rio preto,15.36,2021,2021/07/01,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,itagibá,31.32,2021,2021/09/18,itagibá,2021,111453.28504517674 +Cerrado,santa rita de cássia,4.37,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,camamu,3.68,2021,2021/11/29,camamu,2021,163548.15982496738 +Caatinga,santa rita de cássia,53.2,2021,2021/11/20,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,6.33,2021,2021/11/20,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,0.82,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,riachão das neves,29.13,2021,2021/09/01,riachão das neves,2021,761963.2862440944 +Caatinga,cotegipe,13.87,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Caatinga,santa rita de cássia,1.59,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,barreiras,37.52,2021,2021/04/11,barreiras,2021,958306.347179532 +Caatinga,santa rita de cássia,3.07,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,correntina,6.63,2021,2021/04/01,correntina,2021,1585476.3940644264 +Caatinga,santa rita de cássia,3.08,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,santa rita de cássia,34.14,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,19.2,2021,2021/10/01,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,itapetinga,5.23,2022,2022/03/31,itapetinga,2022,285382.0 +Cerrado,barreiras,857.7,2022,2022/02/17,barreiras,2022,996163.0 +Cerrado,barreiras,674.92,2022,2022/03/30,barreiras,2022,996163.0 +Cerrado,luís eduardo magalhães,237.61,2022,2022/05/06,luís eduardo magalhães,2022,343098.0 +Cerrado,formosa do rio preto,155.52,2022,2022/05/06,formosa do rio preto,2022,2432263.0 +Mata Atlântica,encruzilhada,8.7,2022,2022/06/30,encruzilhada,2022,414662.0 +Caatinga,santa rita de cássia,38.67,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,6.02,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,riachão das neves,760.14,2022,2022/06/04,riachão das neves,2022,670183.0 +Mata Atlântica,itarantim,3.71,2022,2022/05/31,itarantim,2022,203154.0 +Mata Atlântica,ibirapitanga,0.75,2022,2022/06/30,ibirapitanga,2022,292758.0 +Mata Atlântica,belmonte,3.22,2022,2022/06/30,belmonte,2022,354868.0 +Cerrado,correntina,35.78,2022,2022/03/01,correntina,2022,1473135.0 +Caatinga,cocos,2.7,2022,2022/03/01,cocos,2022,367625.0 +Caatinga,cotegipe,31.77,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,formosa do rio preto,17.22,2022,2022/03/01,formosa do rio preto,2022,2432263.0 +Cerrado,são desidério,467.87,2022,2022/08/07,são desidério,2022,2729422.0 +Cerrado,santa rita de cássia,22.97,2022,2022/08/24,santa rita de cássia,2022,569631.0 +Mata Atlântica,guaratinga,0.33,2022,2022/07/31,guaratinga,2022,243882.0 +Mata Atlântica,ilhéus,0.69,2022,2022/07/31,ilhéus,2022,209209.0 +Cerrado,santa rita de cássia,202.59,2022,2022/09/26,santa rita de cássia,2022,569631.0 +Cerrado,santa rita de cássia,32.43,2019,2019/10/28,santa rita de cássia,2019,694797.0868461728 +Cerrado,baianópolis,69.31,2019,2019/10/07,baianópolis,2019,607436.7982445955 +Mata Atlântica,valença,2.49,2019,2019/12/02,valença,2019,247673.75340151787 +Cerrado,formosa do rio preto,867.02,2019,2019/08/08,formosa do rio preto,2019,4220327.0016454905 +Caatinga,cocos,4.54,2019,2019/03/31,cocos,2019,959394.147064954 +Cerrado,jaborandi,69.81,2019,2019/01/29,jaborandi,2019,1706967.7386553884 +Cerrado,baianópolis,14.66,2019,2019/08/02,baianópolis,2019,607436.7982445955 +Cerrado,jaborandi,800.15,2019,2019/05/19,jaborandi,2019,1706967.7386553884 +Cerrado,baianópolis,9.15,2019,2019/01/12,baianópolis,2019,607436.7982445955 +Cerrado,correntina,87.99,2019,2019/05/22,correntina,2019,1545572.943816781 +Cerrado,são desidério,4.21,2019,2019/02/24,são desidério,2019,2024107.6610826247 +Caatinga,jaborandi,14.88,2019,2019/01/20,jaborandi,2019,1706967.7386553884 +Cerrado,baianópolis,6.9,2019,2019/08/02,baianópolis,2019,607436.7982445955 +Cerrado,luís eduardo magalhães,31.56,2019,2019/06/14,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,barreiras,533.99,2019,2019/07/10,barreiras,2019,1568927.0175619423 +Cerrado,cocos,33.24,2019,2019/04/17,cocos,2019,959394.147064954 +Mata Atlântica,igrapiúna,0.9,2019,2019/04/22,igrapiúna,2019,257694.0746061802 +Cerrado,formosa do rio preto,1637.13,2020,2020/03/29,formosa do rio preto,2020,3073766.4334418774 +Mata Atlântica,camamu,1.16,2020,2020/02/29,camamu,2020,434741.3974044919 +Mata Atlântica,ilhéus,4.71,2020,2020/01/28,ilhéus,2020,191205.86366391185 +Mata Atlântica,nilo peçanha,18.08,2020,2020/04/08,nilo peçanha,2020,154625.95725762844 +Mata Atlântica,belmonte,2.85,2020,2020/04/01,belmonte,2020,350558.8480718136 +Mata Atlântica,guaratinga,2.35,2020,2020/04/08,guaratinga,2020,251656.63093233109 +Mata Atlântica,encruzilhada,6.47,2020,2020/05/01,encruzilhada,2020,451620.4507952333 +Caatinga,santa rita de cássia,29.32,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,50.61,2020,2020/06/01,barreiras,2020,1179766.0970728395 +Mata Atlântica,valença,2.39,2020,2020/06/19,valença,2020,427637.707020998 +Cerrado,cotegipe,99.88,2020,2020/05/23,cotegipe,2020,559960.0834841728 +Caatinga,barra,131.65,2020,2020/05/23,barra,2020,139778.05993533134 +Cerrado,são desidério,31.06,2020,2020/07/22,são desidério,2020,3091203.197527945 +Cerrado,santa rita de cássia,4.44,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,ibirapitanga,2.63,2020,2020/07/29,ibirapitanga,2020,296362.889919281 +Cerrado,riachão das neves,10.43,2020,2020/09/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,9.51,2020,2020/09/15,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,10.6,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,guaratinga,13.93,2020,2020/10/09,guaratinga,2020,251656.63093233109 +Cerrado,santa rita de cássia,6.07,2020,2020/10/26,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,ibirapitanga,3.39,2020,2020/10/25,ibirapitanga,2020,296362.889919281 +Caatinga,santa rita de cássia,3.62,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,5.46,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,5.51,2020,2020/11/14,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,8.19,2020,2020/11/24,cotegipe,2020,559960.0834841728 +Caatinga,santa rita de cássia,1.61,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,750.04,2020,2020/12/31,formosa do rio preto,2020,3073766.4334418774 +Cerrado,jaborandi,18.32,2020,2020/12/14,jaborandi,2020,1744004.154955864 +Cerrado,santa rita de cássia,9.46,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,encruzilhada,4.99,2020,2020/12/12,encruzilhada,2020,451620.4507952333 +Caatinga,cotegipe,4.9,2020,2020/12/01,cotegipe,2020,559960.0834841728 +Cerrado,riachão das neves,5.59,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,5.17,2021,2021/01/23,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,belmonte,11.32,2021,2021/01/06,belmonte,2021,331485.0170983076 +Mata Atlântica,valença,2.85,2021,2021/02/06,valença,2021,195332.51262283325 +Mata Atlântica,ibirapitanga,3.1,2021,2021/02/06,ibirapitanga,2021,72436.60405349731 +Caatinga,cocos,4.23,2021,2021/02/01,cocos,2021,1229644.9681953788 +Cerrado,formosa do rio preto,51.66,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,maraú,5.43,2021,2021/03/18,maraú,2021,103211.31101250648 +Cerrado,formosa do rio preto,287.25,2021,2021/04/05,formosa do rio preto,2021,2299737.8741800785 +Mata Atlântica,encruzilhada,9.28,2021,2021/04/18,encruzilhada,2021,587315.3614428043 +Mata Atlântica,encruzilhada,7.18,2021,2021/04/18,encruzilhada,2021,587315.3614428043 +Cerrado,correntina,2.04,2021,2021/01/01,correntina,2021,1585476.3940644264 +Cerrado,correntina,2.3,2021,2021/01/01,correntina,2021,1585476.3940644264 +Cerrado,são desidério,9.37,2021,2021/01/01,são desidério,2021,3159579.701361537 +Cerrado,riachão das neves,36.14,2021,2021/05/10,riachão das neves,2021,761963.2862440944 +Caatinga,cotegipe,18.3,2021,2021/05/22,cotegipe,2021,292547.2605621815 +Cerrado,barreiras,22.24,2021,2021/05/30,barreiras,2021,958306.347179532 +Cerrado,santa rita de cássia,14.06,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,jaborandi,7.64,2021,2021/06/19,jaborandi,2021,2051920.940728784 +Cerrado,santa rita de cássia,17.05,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,1.45,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,1.67,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,1.91,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,formosa do rio preto,7.91,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,são desidério,1.11,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,cotegipe,1.98,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,santa rita de cássia,8.56,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,1.07,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,cotegipe,2.18,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,barra,2.57,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,0.76,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,cotegipe,2.34,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,cotegipe,30.03,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,correntina,2.11,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,1.96,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,formosa do rio preto,3.91,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,barreiras,13.49,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,riachão das neves,3.08,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,formosa do rio preto,1.81,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Caatinga,santa rita de cássia,1.69,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,cocos,3.39,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,baianópolis,31.43,2021,2021/07/21,baianópolis,2021,1700892.2622466087 +Caatinga,cotegipe,4.75,2021,2021/06/01,cotegipe,2021,292547.2605621815 +Caatinga,cocos,64.74,2021,2021/08/08,cocos,2021,1229644.9681953788 +Cerrado,luís eduardo magalhães,5.64,2021,2021/08/05,luís eduardo magalhães,2021,654262.0002045631 +Caatinga,barra,61.31,2021,2021/07/01,barra,2021,79058.81857037544 +Cerrado,santa rita de cássia,112.76,2021,2021/08/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,correntina,7.92,2021,2021/08/01,correntina,2021,1585476.3940644264 +Cerrado,são desidério,84.21,2021,2021/11/25,são desidério,2021,3159579.701361537 +Cerrado,riachão das neves,227.33,2021,2021/09/01,riachão das neves,2021,761963.2862440944 +Caatinga,santa rita de cássia,0.91,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,1.7,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Cerrado,cocos,22.27,2021,2021/10/01,cocos,2021,1229644.9681953788 +Cerrado,santa rita de cássia,2.98,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,baianópolis,106.84,2021,2021/04/29,baianópolis,2021,1700892.2622466087 +Cerrado,baianópolis,19.12,2021,2021/05/30,baianópolis,2021,1700892.2622466087 +Cerrado,correntina,306.89,2021,2021/06/17,correntina,2021,1585476.3940644264 +Cerrado,correntina,5.11,2021,2021/07/01,correntina,2021,1585476.3940644264 +Mata Atlântica,encruzilhada,11.58,2022,2022/02/28,encruzilhada,2022,414662.0 +Mata Atlântica,itapetinga,24.83,2022,2022/02/28,itapetinga,2022,285382.0 +Mata Atlântica,encruzilhada,7.26,2022,2022/02/28,encruzilhada,2022,414662.0 +Mata Atlântica,encruzilhada,3.04,2022,2022/03/31,encruzilhada,2022,414662.0 +Cerrado,santa rita de cássia,112.6,2022,2022/05/29,santa rita de cássia,2022,569631.0 +Cerrado,são desidério,91.05,2022,2022/05/29,são desidério,2022,2729422.0 +Cerrado,baianópolis,133.52,2022,2022/05/21,baianópolis,2022,413632.0 +Cerrado,riachão das neves,135.04,2022,2022/04/04,riachão das neves,2022,670183.0 +Cerrado,santa rita de cássia,5.11,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Mata Atlântica,nilo peçanha,1.29,2022,2022/06/30,nilo peçanha,2022,238334.0 +Mata Atlântica,maraú,0.85,2022,2022/06/30,maraú,2022,275953.0 +Cerrado,formosa do rio preto,14.1,2022,2022/03/01,formosa do rio preto,2022,2432263.0 +Cerrado,correntina,293.28,2022,2022/03/01,correntina,2022,1473135.0 +Cerrado,cotegipe,4.82,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,cotegipe,16.98,2022,2022/03/01,cotegipe,2022,297663.0 +Caatinga,santa rita de cássia,55.44,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Caatinga,santa rita de cássia,19.82,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Cerrado,cotegipe,181.77,2022,2022/08/04,cotegipe,2022,297663.0 +Cerrado,jaborandi,23.4,2022,2022/08/12,jaborandi,2022,1734316.0 +Caatinga,barra,0.34,2022,2022/04/01,barra,2022,312169.0 +Mata Atlântica,encruzilhada,19.56,2022,2022/07/31,encruzilhada,2022,414662.0 +Mata Atlântica,valença,0.58,2022,2022/07/31,valença,2022,378871.0 +Cerrado,barreiras,164.85,2019,2019/10/13,barreiras,2019,1568927.0175619423 +Cerrado,luís eduardo magalhães,42.99,2019,2019/10/16,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,luís eduardo magalhães,32.17,2019,2019/01/23,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,correntina,97.49,2019,2019/04/23,correntina,2019,1545572.943816781 +Cerrado,riachão das neves,11.03,2019,2019/05/07,riachão das neves,2019,580173.0040331781 +Cerrado,santa rita de cássia,115.22,2019,2019/06/28,santa rita de cássia,2019,694797.0868461728 +Cerrado,barreiras,260.1,2019,2019/07/10,barreiras,2019,1568927.0175619423 +Mata Atlântica,ilhéus,3.59,2019,2019/05/24,ilhéus,2019,158872.06799983978 +Mata Atlântica,jequié,7.59,2019,2019/02/25,jequié,2019,249169.2120203972 +Mata Atlântica,ilhéus,3.19,2019,2019/02/01,ilhéus,2019,158872.06799983978 +Mata Atlântica,dário meira,0.47,2019,2019/01/08,dário meira,2019,94401.96469908953 +Mata Atlântica,igrapiúna,3.53,2019,2019/02/25,igrapiúna,2019,257694.0746061802 +Cerrado,baianópolis,21.5,2020,2020/04/30,baianópolis,2020,790814.9751247168 +Cerrado,barreiras,3.06,2020,2020/04/21,barreiras,2020,1179766.0970728395 +Cerrado,são desidério,220.17,2020,2020/01/31,são desidério,2020,3091203.197527945 +Caatinga,santa rita de cássia,57.77,2020,2020/03/29,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,32.01,2020,2020/04/27,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,ilhéus,16.2,2020,2020/01/28,ilhéus,2020,191205.86366391185 +Mata Atlântica,ilhéus,14.89,2020,2020/01/20,ilhéus,2020,191205.86366391185 +Mata Atlântica,encruzilhada,14.23,2020,2020/01/10,encruzilhada,2020,451620.4507952333 +Caatinga,jaborandi,8.92,2020,2020/06/01,jaborandi,2020,1744004.154955864 +Cerrado,correntina,14.49,2020,2020/06/01,correntina,2020,1060525.6563282013 +Cerrado,luís eduardo magalhães,3.86,2020,2020/06/09,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,baianópolis,303.3,2020,2020/06/21,baianópolis,2020,790814.9751247168 +Cerrado,riachão das neves,122.51,2020,2020/05/28,riachão das neves,2020,1085054.2665590644 +Cerrado,luís eduardo magalhães,27.31,2020,2020/06/09,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,santa rita de cássia,13.71,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,jaborandi,43.9,2020,2020/07/25,jaborandi,2020,1744004.154955864 +Cerrado,santa rita de cássia,14.66,2020,2020/07/31,santa rita de cássia,2020,859509.3606863022 +Cerrado,jaborandi,13.73,2020,2020/07/01,jaborandi,2020,1744004.154955864 +Cerrado,luís eduardo magalhães,211.77,2020,2020/08/29,luís eduardo magalhães,2020,1523413.1056941748 +Mata Atlântica,iguaí,8.5,2020,2020/09/15,iguaí,2020,127471.2907333374 +Cerrado,santa rita de cássia,13.09,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 +Caatinga,jaborandi,17.22,2020,2020/10/20,jaborandi,2020,1744004.154955864 +Cerrado,formosa do rio preto,13.9,2020,2020/10/23,formosa do rio preto,2020,3073766.4334418774 +Cerrado,luís eduardo magalhães,138.26,2020,2020/11/09,luís eduardo magalhães,2020,1523413.1056941748 +Caatinga,santa rita de cássia,2.1,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,63.71,2020,2020/12/14,baianópolis,2020,790814.9751247168 +Mata Atlântica,valença,4.04,2020,2020/12/12,valença,2020,427637.707020998 +Mata Atlântica,guaratinga,10.61,2020,2020/12/12,guaratinga,2020,251656.63093233109 +Caatinga,cotegipe,5.76,2020,2020/12/01,cotegipe,2020,559960.0834841728 +Cerrado,santa rita de cássia,5.26,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,1.72,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 +Cerrado,correntina,13.39,2021,2021/01/26,correntina,2021,1585476.3940644264 +Mata Atlântica,camamu,1.24,2021,2021/02/06,camamu,2021,163548.15982496738 +Mata Atlântica,guaratinga,6.85,2021,2021/02/22,guaratinga,2021,171742.56461274624 +Caatinga,correntina,6.78,2021,2021/02/01,correntina,2021,1585476.3940644264 +Cerrado,baianópolis,6.97,2021,2021/02/01,baianópolis,2021,1700892.2622466087 +Cerrado,são desidério,5.99,2021,2021/03/13,são desidério,2021,3159579.701361537 +Cerrado,riachão das neves,40.88,2021,2021/03/05,riachão das neves,2021,761963.2862440944 +Caatinga,santa rita de cássia,18.16,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,camamu,2.77,2021,2021/04/27,camamu,2021,163548.15982496738 +Cerrado,são desidério,2.97,2021,2021/01/01,são desidério,2021,3159579.701361537 +Cerrado,formosa do rio preto,15.36,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 +Caatinga,cotegipe,36.36,2021,2021/01/01,cotegipe,2021,292547.2605621815 +Cerrado,formosa do rio preto,154.78,2021,2021/05/10,formosa do rio preto,2021,2299737.8741800785 +Caatinga,santa rita de cássia,8.39,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,luís eduardo magalhães,1.78,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,correntina,0.55,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,correntina,1.1,2020,2020/01/01,correntina,2020,1060525.6563282013 +Caatinga,barra,19.73,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,4.99,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,0.96,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,3.6,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,0.72,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,3.19,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,0.71,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,baianópolis,4.58,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,0.97,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,são desidério,0.75,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,correntina,3.92,2020,2020/01/01,correntina,2020,1060525.6563282013 +Caatinga,jaborandi,4.21,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,correntina,3.61,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,correntina,1.88,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,santa rita de cássia,0.68,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,1.18,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,1.14,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,0.49,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Caatinga,santa rita de cássia,1.9,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,1.06,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,9.01,2021,2021/05/01,baianópolis,2021,1700892.2622466087 +Caatinga,correntina,11.0,2021,2021/05/01,correntina,2021,1585476.3940644264 +Caatinga,santa rita de cássia,3.42,2021,2021/05/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,luís eduardo magalhães,18.78,2021,2021/05/01,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,barreiras,55.24,2021,2021/07/01,barreiras,2021,958306.347179532 +Caatinga,cotegipe,3.16,2021,2021/06/01,cotegipe,2021,292547.2605621815 +Caatinga,cotegipe,13.07,2021,2021/06/01,cotegipe,2021,292547.2605621815 +Cerrado,luís eduardo magalhães,22.76,2021,2021/08/05,luís eduardo magalhães,2021,654262.0002045631 +Caatinga,barra,108.22,2021,2021/08/16,barra,2021,79058.81857037544 +Mata Atlântica,belmonte,23.69,2021,2021/12/16,belmonte,2021,331485.0170983076 +Caatinga,santa rita de cássia,5.33,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,5.18,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,3.46,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,214.34,2021,2021/12/01,barra,2021,79058.81857037544 +Cerrado,cocos,489.8,2021,2021/12/01,cocos,2021,1229644.9681953788 +Cerrado,correntina,361.02,2021,2021/07/21,correntina,2021,1585476.3940644264 +Caatinga,santa rita de cássia,7.1,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,13.47,2021,2021/10/01,cotegipe,2021,292547.2605621815 +Cerrado,correntina,1.42,2021,2021/12/01,correntina,2021,1585476.3940644264 +Cerrado,são desidério,1967.16,2022,2022/01/19,são desidério,2022,2729422.0 +Cerrado,formosa do rio preto,52.22,2022,2022/01/22,formosa do rio preto,2022,2432263.0 +Cerrado,luís eduardo magalhães,125.07,2022,2022/02/03,luís eduardo magalhães,2022,343098.0 +Cerrado,são desidério,70.34,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,são desidério,361.36,2022,2022/05/06,são desidério,2022,2729422.0 +Cerrado,são desidério,198.93,2022,2022/04/25,são desidério,2022,2729422.0 +Cerrado,são desidério,1943.17,2022,2022/06/16,são desidério,2022,2729422.0 +Mata Atlântica,camamu,2.0,2022,2022/06/30,camamu,2022,232571.0 +Mata Atlântica,ilhéus,4.34,2022,2022/06/30,ilhéus,2022,209209.0 +Cerrado,jaborandi,3.93,2022,2022/03/01,jaborandi,2022,1734316.0 +Cerrado,são desidério,1.9,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,barreiras,15.38,2022,2022/08/17,barreiras,2022,996163.0 +Cerrado,riachão das neves,227.66,2022,2022/08/04,riachão das neves,2022,670183.0 +Caatinga,cocos,14.58,2022,2022/05/01,cocos,2022,367625.0 +Mata Atlântica,guaratinga,7.48,2022,2022/08/31,guaratinga,2022,243882.0 +Caatinga,correntina,24.14,2019,2019/09/06,correntina,2019,1545572.943816781 +Cerrado,baianópolis,8.21,2019,2019/10/02,baianópolis,2019,607436.7982445955 +Cerrado,riachão das neves,10.37,2019,2019/12/07,riachão das neves,2019,580173.0040331781 +Caatinga,santa rita de cássia,8.83,2019,2019/12/16,santa rita de cássia,2019,694797.0868461728 +Cerrado,jaborandi,20.14,2019,2019/12/27,jaborandi,2019,1706967.7386553884 +Cerrado,baianópolis,82.42,2019,2019/04/26,baianópolis,2019,607436.7982445955 +Cerrado,correntina,9.22,2019,2019/01/23,correntina,2019,1545572.943816781 +Cerrado,formosa do rio preto,127.22,2019,2019/04/23,formosa do rio preto,2019,4220327.0016454905 +Cerrado,barreiras,10.44,2019,2019/04/17,barreiras,2019,1568927.0175619423 +Cerrado,barreiras,15.11,2019,2019/04/17,barreiras,2019,1568927.0175619423 +Cerrado,baianópolis,19.66,2019,2019/08/02,baianópolis,2019,607436.7982445955 +Cerrado,formosa do rio preto,68.6,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 +Cerrado,correntina,9.17,2019,2019/06/05,correntina,2019,1545572.943816781 +Cerrado,formosa do rio preto,14.12,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 +Cerrado,cocos,1455.05,2019,2019/07/04,cocos,2019,959394.147064954 +Caatinga,santa rita de cássia,37.49,2019,2019/06/08,santa rita de cássia,2019,694797.0868461728 +Cerrado,barreiras,148.95,2019,2019/07/04,barreiras,2019,1568927.0175619423 +Mata Atlântica,guaratinga,10.37,2019,2019/01/24,guaratinga,2019,211708.01093423367 +Mata Atlântica,valença,2.72,2019,2019/01/08,valença,2019,247673.75340151787 +Caatinga,santa rita de cássia,53.37,2020,2020/01/11,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,24.1,2020,2020/01/11,santa rita de cássia,2020,859509.3606863022 +Cerrado,jaborandi,281.03,2020,2020/04/03,jaborandi,2020,1744004.154955864 +Cerrado,são desidério,34.59,2020,2020/05/11,são desidério,2020,3091203.197527945 +Mata Atlântica,maraú,4.39,2020,2020/04/24,maraú,2020,170126.90513539314 +Mata Atlântica,camamu,2.93,2020,2020/04/24,camamu,2020,434741.3974044919 +Mata Atlântica,guaratinga,1.13,2020,2020/04/08,guaratinga,2020,251656.63093233109 +Caatinga,barra,453.44,2020,2020/05/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,22.48,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,jaborandi,6.08,2020,2020/02/01,jaborandi,2020,1744004.154955864 +Cerrado,jaborandi,615.15,2020,2020/05/28,jaborandi,2020,1744004.154955864 +Cerrado,são desidério,872.04,2020,2020/07/05,são desidério,2020,3091203.197527945 +Caatinga,correntina,4.85,2020,2020/07/01,correntina,2020,1060525.6563282013 +Cerrado,são desidério,14.58,2020,2020/07/01,são desidério,2020,3091203.197527945 +Cerrado,luís eduardo magalhães,189.12,2020,2020/08/11,luís eduardo magalhães,2020,1523413.1056941748 +Caatinga,santa rita de cássia,4.55,2020,2020/08/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,14.01,2020,2020/09/01,correntina,2020,1060525.6563282013 +Cerrado,barreiras,13.29,2020,2020/09/01,barreiras,2020,1179766.0970728395 +Cerrado,formosa do rio preto,458.98,2020,2020/09/06,formosa do rio preto,2020,3073766.4334418774 +Caatinga,santa rita de cássia,9.01,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,6.48,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,326.4,2020,2020/12/31,são desidério,2020,3091203.197527945 +Mata Atlântica,maraú,4.57,2021,2021/02/22,maraú,2021,103211.31101250648 +Mata Atlântica,itagibá,6.31,2021,2021/02/22,itagibá,2021,111453.28504517674 +Caatinga,barra,1.85,2021,2021/02/01,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,17.28,2021,2021/03/05,santa rita de cássia,2021,998700.5789114236 +Cerrado,formosa do rio preto,23.94,2021,2021/05/04,formosa do rio preto,2021,2299737.8741800785 +Cerrado,são desidério,4.59,2021,2021/01/01,são desidério,2021,3159579.701361537 +Caatinga,correntina,0.89,2021,2021/01/01,correntina,2021,1585476.3940644264 +Cerrado,baianópolis,341.8,2021,2021/03/01,baianópolis,2021,1700892.2622466087 +Cerrado,riachão das neves,576.86,2021,2021/04/01,riachão das neves,2021,761963.2862440944 +Cerrado,santa rita de cássia,13.61,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,baianópolis,39.37,2021,2021/06/17,baianópolis,2021,1700892.2622466087 +Mata Atlântica,valença,2.24,2021,2021/06/30,valença,2021,195332.51262283325 +Cerrado,correntina,5.03,2020,2020/01/01,correntina,2020,1060525.6563282013 +Caatinga,santa rita de cássia,4.75,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,0.83,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,são desidério,1.73,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,8.49,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,8.67,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,riachão das neves,6.18,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,santa rita de cássia,32.9,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,0.31,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,cotegipe,15.59,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,barra,5.44,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.27,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.17,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,2.03,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,2.96,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,3.01,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,3.34,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,cotegipe,23.03,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,são desidério,1.24,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,0.38,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,5.71,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,baianópolis,1.16,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Caatinga,correntina,5.73,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,correntina,1.02,2020,2020/01/01,correntina,2020,1060525.6563282013 +Caatinga,santa rita de cássia,3.79,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,39.89,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,barreiras,6.34,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,formosa do rio preto,27.35,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,2.86,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,22.46,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cocos,42.35,2021,2021/07/30,cocos,2021,1229644.9681953788 +Mata Atlântica,iguaí,3.49,2021,2021/07/16,iguaí,2021,155962.6907043457 +Cerrado,jaborandi,406.92,2021,2021/09/26,jaborandi,2021,2051920.940728784 +Cerrado,santa rita de cássia,91.71,2021,2021/08/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,baianópolis,23.55,2021,2021/11/17,baianópolis,2021,1700892.2622466087 +Cerrado,riachão das neves,2.99,2021,2021/09/01,riachão das neves,2021,761963.2862440944 +Caatinga,santa rita de cássia,10.96,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,8.77,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Cerrado,são desidério,1.34,2021,2021/11/01,são desidério,2021,3159579.701361537 +Cerrado,santa rita de cássia,102.2,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,4.48,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,31.88,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,santa rita de cássia,58.25,2021,2021/07/04,santa rita de cássia,2021,998700.5789114236 +Cerrado,correntina,1.08,2021,2021/05/01,correntina,2021,1585476.3940644264 +Mata Atlântica,itapetinga,2.75,2022,2022/02/28,itapetinga,2022,285382.0 +Mata Atlântica,guaratinga,2.13,2022,2022/02/28,guaratinga,2022,243882.0 +Mata Atlântica,guaratinga,6.61,2022,2022/03/31,guaratinga,2022,243882.0 +Cerrado,santa rita de cássia,1.26,2022,2022/01/11,santa rita de cássia,2022,569631.0 +Cerrado,correntina,60.48,2022,2022/02/23,correntina,2022,1473135.0 +Cerrado,barreiras,1024.83,2022,2022/03/09,barreiras,2022,996163.0 +Cerrado,barreiras,172.74,2022,2022/03/30,barreiras,2022,996163.0 +Cerrado,são desidério,816.38,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,são desidério,9.54,2022,2022/01/01,são desidério,2022,2729422.0 +Cerrado,são desidério,574.1,2022,2022/05/29,são desidério,2022,2729422.0 +Mata Atlântica,nilo peçanha,1.92,2022,2022/04/30,nilo peçanha,2022,238334.0 +Mata Atlântica,jequié,15.42,2022,2022/06/17,jequié,2022,498001.0 +Cerrado,baianópolis,33.39,2022,2022/06/16,baianópolis,2022,413632.0 +Mata Atlântica,itapetinga,4.69,2022,2022/05/31,itapetinga,2022,285382.0 +Mata Atlântica,valença,0.75,2022,2022/06/30,valença,2022,378871.0 +Mata Atlântica,belmonte,1.19,2022,2022/06/30,belmonte,2022,354868.0 +Mata Atlântica,encruzilhada,7.91,2022,2022/06/30,encruzilhada,2022,414662.0 +Cerrado,cocos,0.98,2022,2022/03/01,cocos,2022,367625.0 +Caatinga,cotegipe,32.72,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,riachão das neves,7.39,2022,2022/03/01,riachão das neves,2022,670183.0 +Cerrado,são desidério,212.94,2022,2022/08/04,são desidério,2022,2729422.0 +Cerrado,barreiras,85.79,2022,2022/08/02,barreiras,2022,996163.0 +Mata Atlântica,itapetinga,103.74,2022,2022/07/31,itapetinga,2022,285382.0 +Cerrado,formosa do rio preto,132.74,2022,2022/09/03,formosa do rio preto,2022,2432263.0 +Mata Atlântica,ilhéus,1.37,2019,2019/10/16,ilhéus,2019,158872.06799983978 +Cerrado,baianópolis,29.95,2019,2019/11/20,baianópolis,2019,607436.7982445955 +Cerrado,baianópolis,12.85,2019,2019/10/02,baianópolis,2019,607436.7982445955 +Cerrado,jaborandi,70.96,2019,2019/10/13,jaborandi,2019,1706967.7386553884 +Caatinga,santa rita de cássia,200.47,2019,2019/11/11,santa rita de cássia,2019,694797.0868461728 +Cerrado,luís eduardo magalhães,192.62,2019,2019/12/13,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,santa rita de cássia,23.42,2019,2019/12/07,santa rita de cássia,2019,694797.0868461728 +Caatinga,cocos,6.38,2019,2019/12/27,cocos,2019,959394.147064954 +Cerrado,baianópolis,4.93,2019,2019/05/10,baianópolis,2019,607436.7982445955 +Cerrado,barreiras,97.04,2019,2019/04/17,barreiras,2019,1568927.0175619423 +Cerrado,baianópolis,7.58,2019,2019/04/29,baianópolis,2019,607436.7982445955 +Cerrado,formosa do rio preto,86.61,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 +Cerrado,riachão das neves,17.22,2019,2019/05/22,riachão das neves,2019,580173.0040331781 +Cerrado,formosa do rio preto,1095.76,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 +Caatinga,cotegipe,25.5,2019,2019/04/23,cotegipe,2019,331163.8086628318 +Cerrado,luís eduardo magalhães,59.98,2019,2019/06/02,luís eduardo magalhães,2019,800435.7103590965 +Cerrado,barreiras,230.74,2019,2019/05/19,barreiras,2019,1568927.0175619423 +Cerrado,formosa do rio preto,214.82,2019,2019/07/07,formosa do rio preto,2019,4220327.0016454905 +Mata Atlântica,belmonte,7.95,2019,2019/03/30,belmonte,2019,390403.1881421805 +Mata Atlântica,encruzilhada,2.01,2019,2019/01/23,encruzilhada,2019,403895.9177992344 +Mata Atlântica,camamu,1.96,2019,2019/03/29,camamu,2019,221471.44368362427 +Cerrado,baianópolis,4.95,2020,2020/04/21,baianópolis,2020,790814.9751247168 +Cerrado,luís eduardo magalhães,1.49,2020,2020/03/29,luís eduardo magalhães,2020,1523413.1056941748 +Mata Atlântica,valença,3.45,2020,2020/02/04,valença,2020,427637.707020998 +Mata Atlântica,valença,1.6,2020,2020/04/08,valença,2020,427637.707020998 +Cerrado,riachão das neves,20.38,2020,2020/06/01,riachão das neves,2020,1085054.2665590644 +Mata Atlântica,itagibá,50.98,2020,2020/06/30,itagibá,2020,72102.08046793938 +Mata Atlântica,itapetinga,5.5,2020,2020/06/30,itapetinga,2020,46135.12845611572 +Mata Atlântica,encruzilhada,23.25,2020,2020/05/26,encruzilhada,2020,451620.4507952333 +Caatinga,cotegipe,20.48,2020,2020/06/09,cotegipe,2020,559960.0834841728 +Cerrado,são desidério,2.03,2020,2020/07/01,são desidério,2020,3091203.197527945 +Cerrado,santa rita de cássia,4.63,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,4.65,2020,2020/08/20,correntina,2020,1060525.6563282013 +Caatinga,cotegipe,20.59,2020,2020/09/01,cotegipe,2020,559960.0834841728 +Cerrado,barreiras,12.63,2020,2020/09/01,barreiras,2020,1179766.0970728395 +Cerrado,são desidério,2.97,2020,2020/09/30,são desidério,2020,3091203.197527945 +Caatinga,santa rita de cássia,15.87,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,10.76,2020,2020/12/01,barra,2020,139778.05993533134 +Caatinga,cocos,6.37,2020,2020/12/14,cocos,2020,1218387.32458961 +Cerrado,cotegipe,5.41,2020,2020/12/17,cotegipe,2020,559960.0834841728 +Cerrado,santa rita de cássia,23.67,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,ilhéus,3.26,2020,2020/12/29,ilhéus,2020,191205.86366391185 +Mata Atlântica,camamu,6.71,2021,2021/01/21,camamu,2021,163548.15982496738 +Cerrado,santa rita de cássia,0.83,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,4.85,2021,2021/02/01,barra,2021,79058.81857037544 +Cerrado,formosa do rio preto,12.18,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Cerrado,correntina,19.2,2021,2021/03/13,correntina,2021,1585476.3940644264 +Cerrado,baianópolis,9.15,2021,2021/03/13,baianópolis,2021,1700892.2622466087 +Mata Atlântica,ilhéus,4.96,2021,2021/04/12,ilhéus,2021,131715.1359180212 +Mata Atlântica,belmonte,9.66,2021,2021/04/28,belmonte,2021,331485.0170983076 +Cerrado,são desidério,354.91,2021,2021/05/04,são desidério,2021,3159579.701361537 +Cerrado,barreiras,28.58,2021,2021/05/04,barreiras,2021,958306.347179532 +Caatinga,cotegipe,1.49,2021,2021/01/01,cotegipe,2021,292547.2605621815 +Mata Atlântica,belmonte,7.06,2021,2021/05/22,belmonte,2021,331485.0170983076 +Cerrado,são desidério,119.52,2021,2021/06/14,são desidério,2021,3159579.701361537 +Mata Atlântica,camamu,6.79,2021,2021/06/14,camamu,2021,163548.15982496738 +Cerrado,cotegipe,2.28,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,barra,1.04,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,1.25,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,2.38,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,1.99,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,24.84,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,1.15,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,5.23,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,são desidério,27.18,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,são desidério,1.88,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,jaborandi,0.55,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Caatinga,correntina,0.57,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,correntina,1.28,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,19.19,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,2.89,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,formosa do rio preto,1.42,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,18.25,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,4.28,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,barreiras,3.39,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,barreiras,7.37,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,5.91,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,8.85,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,barreiras,2.24,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,luís eduardo magalhães,9.66,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 +Cerrado,riachão das neves,1.63,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Caatinga,cocos,33.96,2020,2020/01/01,cocos,2020,1218387.32458961 +Cerrado,barreiras,21.42,2021,2021/07/27,barreiras,2021,958306.347179532 +Mata Atlântica,valença,1.4,2021,2021/09/18,valença,2021,195332.51262283325 +Cerrado,jaborandi,591.5,2021,2021/10/25,jaborandi,2021,2051920.940728784 +Cerrado,barreiras,34.24,2021,2021/08/01,barreiras,2021,958306.347179532 +Cerrado,correntina,986.4,2021,2021/11/25,correntina,2021,1585476.3940644264 +Cerrado,baianópolis,651.93,2021,2021/12/13,baianópolis,2021,1700892.2622466087 +Caatinga,santa rita de cássia,8.33,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,4.61,2021,2021/11/01,cotegipe,2021,292547.2605621815 +Caatinga,barra,205.53,2021,2021/11/01,barra,2021,79058.81857037544 +Cerrado,santa rita de cássia,159.45,2021,2021/01/17,santa rita de cássia,2021,998700.5789114236 +Cerrado,cocos,368.05,2021,2021/01/20,cocos,2021,1229644.9681953788 +Cerrado,são desidério,11.44,2021,2021/03/28,são desidério,2021,3159579.701361537 +Cerrado,barreiras,21.73,2021,2021/04/11,barreiras,2021,958306.347179532 +Cerrado,riachão das neves,75.43,2021,2021/05/04,riachão das neves,2021,761963.2862440944 +Cerrado,santa rita de cássia,36.89,2021,2021/06/14,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,156.66,2022,2022/01/01,barra,2022,312169.0 +Cerrado,são desidério,173.78,2022,2022/05/03,são desidério,2022,2729422.0 +Cerrado,são desidério,29.18,2022,2022/05/06,são desidério,2022,2729422.0 +Mata Atlântica,guaratinga,18.88,2022,2022/04/30,guaratinga,2022,243882.0 +Mata Atlântica,camamu,5.62,2022,2022/04/30,camamu,2022,232571.0 +Cerrado,santa rita de cássia,14.19,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,formosa do rio preto,30.22,2022,2022/02/01,formosa do rio preto,2022,2432263.0 +Cerrado,santa rita de cássia,55.53,2022,2022/06/07,santa rita de cássia,2022,569631.0 +Cerrado,baianópolis,1.91,2022,2022/03/01,baianópolis,2022,413632.0 +Cerrado,barreiras,7.0,2022,2022/03/01,barreiras,2022,996163.0 +Cerrado,são desidério,13.09,2022,2022/03/01,são desidério,2022,2729422.0 +Cerrado,correntina,63.98,2022,2022/03/01,correntina,2022,1473135.0 +Cerrado,cocos,25.7,2022,2022/03/01,cocos,2022,367625.0 +Cerrado,santa rita de cássia,14.16,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Cerrado,correntina,18.1,2022,2022/03/01,correntina,2022,1473135.0 +Cerrado,baianópolis,3.56,2022,2022/08/04,baianópolis,2022,413632.0 +Cerrado,formosa do rio preto,70.51,2022,2022/08/24,formosa do rio preto,2022,2432263.0 +Mata Atlântica,maraú,3.76,2022,2022/07/31,maraú,2022,275953.0 +Mata Atlântica,belmonte,0.78,2022,2022/07/31,belmonte,2022,354868.0 +Mata Atlântica,camamu,0.84,2022,2022/07/31,camamu,2022,232571.0 +Cerrado,barreiras,99.99,2022,2022/09/04,barreiras,2022,996163.0 +Cerrado,correntina,527.22,2022,2022/09/03,correntina,2022,1473135.0 +Mata Atlântica,igrapiúna,3.93,2019,2019/11/08,igrapiúna,2019,257694.0746061802 +Mata Atlântica,guaratinga,9.28,2019,2019/10/31,guaratinga,2019,211708.01093423367 +Cerrado,formosa do rio preto,2.1,2019,2019/12/16,formosa do rio preto,2019,4220327.0016454905 +Caatinga,barra,2.31,2019,2019/12/16,barra,2019,226011.0523688793 +Mata Atlântica,encruzilhada,22.1,2019,2019/04/05,encruzilhada,2019,403895.9177992344 +Caatinga,santa rita de cássia,12.86,2019,2019/05/13,santa rita de cássia,2019,694797.0868461728 +Cerrado,barreiras,107.56,2019,2019/08/22,barreiras,2019,1568927.0175619423 +Cerrado,barreiras,17.43,2019,2019/01/29,barreiras,2019,1568927.0175619423 +Cerrado,são desidério,33.56,2019,2019/01/06,são desidério,2019,2024107.6610826247 +Cerrado,formosa do rio preto,10.59,2019,2019/03/31,formosa do rio preto,2019,4220327.0016454905 +Caatinga,santa rita de cássia,17.13,2019,2019/05/22,santa rita de cássia,2019,694797.0868461728 +Mata Atlântica,dário meira,8.09,2019,2019/06/01,dário meira,2019,94401.96469908953 +Cerrado,são desidério,31.73,2020,2020/04/21,são desidério,2020,3091203.197527945 +Caatinga,correntina,18.05,2020,2020/04/04,correntina,2020,1060525.6563282013 +Cerrado,cotegipe,190.24,2020,2020/02/26,cotegipe,2020,559960.0834841728 +Mata Atlântica,maraú,1.74,2020,2020/04/24,maraú,2020,170126.90513539314 +Mata Atlântica,camamu,2.74,2020,2020/04/16,camamu,2020,434741.3974044919 +Cerrado,são desidério,138.52,2020,2020/05/01,são desidério,2020,3091203.197527945 +Cerrado,barreiras,979.89,2020,2020/06/01,barreiras,2020,1179766.0970728395 +Caatinga,santa rita de cássia,5.76,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,276.82,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,itagibá,3.72,2020,2020/06/30,itagibá,2020,72102.08046793938 +Mata Atlântica,encruzilhada,29.52,2020,2020/06/26,encruzilhada,2020,451620.4507952333 +Cerrado,jaborandi,471.53,2020,2020/05/28,jaborandi,2020,1744004.154955864 +Mata Atlântica,belmonte,35.66,2020,2020/07/14,belmonte,2020,350558.8480718136 +Cerrado,baianópolis,1.88,2020,2020/07/01,baianópolis,2020,790814.9751247168 +Cerrado,baianópolis,6.95,2020,2020/07/01,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,83.97,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,7.74,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,belmonte,1.39,2020,2020/12/13,belmonte,2020,350558.8480718136 +Mata Atlântica,igrapiúna,2.29,2020,2020/12/12,igrapiúna,2020,378236.5840551853 +Mata Atlântica,belmonte,6.52,2020,2020/12/13,belmonte,2020,350558.8480718136 +Mata Atlântica,belmonte,12.35,2020,2020/12/12,belmonte,2020,350558.8480718136 +Cerrado,baianópolis,14.84,2020,2020/12/31,baianópolis,2020,790814.9751247168 +Caatinga,santa rita de cássia,4.96,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,cotegipe,13.33,2021,2021/01/29,cotegipe,2021,292547.2605621815 +Cerrado,cocos,14.64,2021,2021/03/08,cocos,2021,1229644.9681953788 +Cerrado,formosa do rio preto,12.07,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 +Cerrado,são desidério,27.16,2021,2021/03/28,são desidério,2021,3159579.701361537 +Mata Atlântica,valença,1.84,2021,2021/04/27,valença,2021,195332.51262283325 +Cerrado,santa rita de cássia,20.46,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 +Cerrado,barreiras,9.05,2021,2021/01/01,barreiras,2021,958306.347179532 +Cerrado,riachão das neves,8.0,2021,2021/01/01,riachão das neves,2021,761963.2862440944 +Cerrado,santa rita de cássia,47.43,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,6.64,2021,2021/05/28,barra,2021,79058.81857037544 +Caatinga,santa rita de cássia,5.94,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,formosa do rio preto,70.13,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,são desidério,3.11,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,cotegipe,3.46,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Caatinga,barra,1.68,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,barra,0.89,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,6.15,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,1.72,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,cotegipe,7.41,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,cotegipe,2.6,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,correntina,2.29,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,4.84,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Caatinga,barra,1.33,2020,2020/01/01,barra,2020,139778.05993533134 +Cerrado,santa rita de cássia,16.42,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,2.77,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,1.12,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,4.42,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,riachão das neves,1.95,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,formosa do rio preto,5.23,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Caatinga,santa rita de cássia,1.19,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,jaborandi,114.93,2021,2021/08/05,jaborandi,2021,2051920.940728784 +Cerrado,formosa do rio preto,62.83,2021,2021/08/13,formosa do rio preto,2021,2299737.8741800785 +Caatinga,santa rita de cássia,375.26,2021,2021/09/11,santa rita de cássia,2021,998700.5789114236 +Caatinga,barra,18.54,2021,2021/08/01,barra,2021,79058.81857037544 +Mata Atlântica,itagibá,1.81,2021,2021/11/29,itagibá,2021,111453.28504517674 +Caatinga,santa rita de cássia,6.06,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,1.12,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,9.92,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Caatinga,santa rita de cássia,179.42,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,2.65,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,santa rita de cássia,11.45,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,5.08,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,7.86,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,jaborandi,4977.61,2021,2021/01/20,jaborandi,2021,2051920.940728784 +Caatinga,jaborandi,17.22,2021,2021/05/13,jaborandi,2021,2051920.940728784 +Cerrado,são desidério,186.73,2021,2021/05/04,são desidério,2021,3159579.701361537 +Cerrado,riachão das neves,2.98,2021,2021/02/01,riachão das neves,2021,761963.2862440944 +Caatinga,barra,284.22,2021,2021/12/01,barra,2021,79058.81857037544 +Cerrado,barreiras,3099.55,2022,2022/03/01,barreiras,2022,996163.0 +Cerrado,são desidério,139.65,2022,2022/03/09,são desidério,2022,2729422.0 +Cerrado,são desidério,46.6,2022,2022/01/01,são desidério,2022,2729422.0 +Cerrado,formosa do rio preto,93.03,2022,2022/05/15,formosa do rio preto,2022,2432263.0 +Cerrado,santa rita de cássia,6.66,2022,2022/02/01,santa rita de cássia,2022,569631.0 +Cerrado,luís eduardo magalhães,9.13,2022,2022/06/04,luís eduardo magalhães,2022,343098.0 +Mata Atlântica,valença,0.51,2022,2022/06/30,valença,2022,378871.0 +Mata Atlântica,itarantim,5.45,2022,2022/06/30,itarantim,2022,203154.0 +Cerrado,cocos,21.9,2022,2022/03/01,cocos,2022,367625.0 +Caatinga,barra,22.69,2022,2022/03/01,barra,2022,312169.0 +Cerrado,riachão das neves,4.2,2022,2022/03/01,riachão das neves,2022,670183.0 +Cerrado,correntina,1600.65,2022,2022/07/23,correntina,2022,1473135.0 +Cerrado,são desidério,227.63,2022,2022/08/02,são desidério,2022,2729422.0 +Cerrado,formosa do rio preto,4.54,2022,2022/08/01,formosa do rio preto,2022,2432263.0 +Cerrado,são desidério,511.31,2022,2022/08/02,são desidério,2022,2729422.0 +Cerrado,são desidério,69.71,2022,2022/08/04,são desidério,2022,2729422.0 +Mata Atlântica,ilhéus,0.91,2022,2022/07/31,ilhéus,2022,209209.0 +Mata Atlântica,valença,2.92,2022,2022/07/31,valença,2022,378871.0 +Cerrado,são desidério,3.86,2022,2022/09/28,são desidério,2022,2729422.0 +Caatinga,santa rita de cássia,35.81,2019,2019/09/14,santa rita de cássia,2019,694797.0868461728 +Cerrado,cocos,22.25,2019,2019/09/23,cocos,2019,959394.147064954 +Cerrado,baianópolis,14.02,2019,2019/10/13,baianópolis,2019,607436.7982445955 +Cerrado,cocos,3.22,2019,2019/10/13,cocos,2019,959394.147064954 +Mata Atlântica,belmonte,2.84,2019,2019/11/08,belmonte,2019,390403.1881421805 +Mata Atlântica,ibirapitanga,1.14,2019,2019/10/23,ibirapitanga,2019,86205.62920188904 +Mata Atlântica,igrapiúna,0.85,2019,2019/06/09,igrapiúna,2019,257694.0746061802 +Cerrado,correntina,6.28,2019,2019/01/23,correntina,2019,1545572.943816781 +Caatinga,santa rita de cássia,15.01,2019,2019/05/07,santa rita de cássia,2019,694797.0868461728 +Cerrado,barreiras,32.92,2019,2019/02/24,barreiras,2019,1568927.0175619423 +Cerrado,jaborandi,1145.3,2019,2019/06/02,jaborandi,2019,1706967.7386553884 +Cerrado,barreiras,27.18,2019,2019/04/29,barreiras,2019,1568927.0175619423 +Cerrado,são desidério,33.19,2019,2019/04/14,são desidério,2019,2024107.6610826247 +Cerrado,santa rita de cássia,19.0,2019,2019/04/29,santa rita de cássia,2019,694797.0868461728 +Caatinga,jaborandi,8.14,2019,2019/05/02,jaborandi,2019,1706967.7386553884 +Cerrado,formosa do rio preto,10.51,2019,2019/02/21,formosa do rio preto,2019,4220327.0016454905 +Cerrado,santa rita de cássia,80.42,2019,2019/01/29,santa rita de cássia,2019,694797.0868461728 +Mata Atlântica,belmonte,2.24,2019,2019/03/30,belmonte,2019,390403.1881421805 +Mata Atlântica,encruzilhada,2.78,2019,2019/04/05,encruzilhada,2019,403895.9177992344 +Mata Atlântica,camamu,6.47,2019,2019/06/09,camamu,2019,221471.44368362427 +Cerrado,baianópolis,3.29,2020,2020/04/30,baianópolis,2020,790814.9751247168 +Cerrado,riachão das neves,113.58,2020,2020/01/11,riachão das neves,2020,1085054.2665590644 +Cerrado,barreiras,1.86,2020,2020/03/29,barreiras,2020,1179766.0970728395 +Mata Atlântica,ilhéus,1.53,2020,2020/04/24,ilhéus,2020,191205.86366391185 +Mata Atlântica,itagibá,17.81,2020,2020/04/08,itagibá,2020,72102.08046793938 +Cerrado,são desidério,343.36,2020,2020/06/01,são desidério,2020,3091203.197527945 +Caatinga,santa rita de cássia,10.06,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,belmonte,2.14,2020,2020/06/28,belmonte,2020,350558.8480718136 +Cerrado,formosa do rio preto,12.34,2020,2020/07/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,santa rita de cássia,35.73,2020,2020/07/25,santa rita de cássia,2020,859509.3606863022 +Cerrado,correntina,1.53,2020,2020/07/01,correntina,2020,1060525.6563282013 +Cerrado,baianópolis,3.01,2020,2020/07/01,baianópolis,2020,790814.9751247168 +Cerrado,cocos,2.53,2020,2020/07/01,cocos,2020,1218387.32458961 +Caatinga,correntina,7.34,2020,2020/09/01,correntina,2020,1060525.6563282013 +Cerrado,luís eduardo magalhães,5.36,2020,2020/09/01,luís eduardo magalhães,2020,1523413.1056941748 +Mata Atlântica,camamu,2.52,2020,2020/09/08,camamu,2020,434741.3974044919 +Cerrado,santa rita de cássia,50.46,2020,2020/09/24,santa rita de cássia,2020,859509.3606863022 +Mata Atlântica,encruzilhada,29.06,2020,2020/09/30,encruzilhada,2020,451620.4507952333 +Cerrado,cocos,3.48,2020,2020/10/01,cocos,2020,1218387.32458961 +Cerrado,cocos,32.03,2020,2020/10/01,cocos,2020,1218387.32458961 +Caatinga,santa rita de cássia,5.35,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,83.86,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 +Cerrado,santa rita de cássia,100.78,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,41.37,2021,2021/01/23,baianópolis,2021,1700892.2622466087 +Caatinga,santa rita de cássia,2.24,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,são desidério,330.84,2021,2021/03/28,são desidério,2021,3159579.701361537 +Cerrado,jaborandi,17.3,2021,2021/03/13,jaborandi,2021,2051920.940728784 +Cerrado,luís eduardo magalhães,800.38,2021,2021/03/28,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,santa rita de cássia,7.94,2021,2021/04/20,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,maraú,0.85,2021,2021/04/19,maraú,2021,103211.31101250648 +Caatinga,jequié,2.84,2021,2021/04/27,jequié,2021,163926.43447589874 +Cerrado,são desidério,3.22,2021,2021/01/01,são desidério,2021,3159579.701361537 +Cerrado,correntina,0.79,2021,2021/01/01,correntina,2021,1585476.3940644264 +Cerrado,baianópolis,1.68,2021,2021/03/01,baianópolis,2021,1700892.2622466087 +Cerrado,jaborandi,22.03,2021,2021/05/07,jaborandi,2021,2051920.940728784 +Caatinga,santa rita de cássia,30.18,2021,2021/05/22,santa rita de cássia,2021,998700.5789114236 +Cerrado,cocos,253.16,2021,2021/05/30,cocos,2021,1229644.9681953788 +Caatinga,cotegipe,22.74,2021,2021/05/30,cotegipe,2021,292547.2605621815 +Caatinga,cotegipe,3.28,2020,2020/01/01,cotegipe,2020,559960.0834841728 +Cerrado,são desidério,1.45,2020,2020/01/01,são desidério,2020,3091203.197527945 +Caatinga,santa rita de cássia,3.36,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,barra,0.89,2020,2020/01/01,barra,2020,139778.05993533134 +Caatinga,santa rita de cássia,1.76,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Caatinga,santa rita de cássia,6.08,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,7.71,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Caatinga,jaborandi,2.79,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,baianópolis,3.28,2020,2020/01/01,baianópolis,2020,790814.9751247168 +Cerrado,são desidério,6.46,2020,2020/01/01,são desidério,2020,3091203.197527945 +Cerrado,jaborandi,3.77,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,correntina,2.98,2020,2020/01/01,correntina,2020,1060525.6563282013 +Cerrado,formosa do rio preto,46.42,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,formosa do rio preto,2.21,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 +Cerrado,barreiras,10.05,2020,2020/01/01,barreiras,2020,1179766.0970728395 +Cerrado,santa rita de cássia,23.81,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,riachão das neves,43.7,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 +Cerrado,jaborandi,16.03,2020,2020/01/01,jaborandi,2020,1744004.154955864 +Cerrado,santa rita de cássia,3.46,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 +Cerrado,baianópolis,174.9,2021,2021/07/01,baianópolis,2021,1700892.2622466087 +Cerrado,jaborandi,17.0,2021,2021/07/13,jaborandi,2021,2051920.940728784 +Caatinga,barra,1.34,2021,2021/06/01,barra,2021,79058.81857037544 +Cerrado,baianópolis,6.29,2021,2021/09/26,baianópolis,2021,1700892.2622466087 +Cerrado,santa rita de cássia,38.5,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,itagibá,4.33,2021,2021/10/04,itagibá,2021,111453.28504517674 +Cerrado,baianópolis,77.99,2021,2021/08/01,baianópolis,2021,1700892.2622466087 +Cerrado,baianópolis,9.91,2021,2021/11/17,baianópolis,2021,1700892.2622466087 +Cerrado,santa rita de cássia,10.84,2021,2021/11/17,santa rita de cássia,2021,998700.5789114236 +Mata Atlântica,itambé,2.24,2021,2021/12/01,itambé,2021,65263.4872546196 +Caatinga,santa rita de cássia,1.26,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,santa rita de cássia,2.92,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Caatinga,cotegipe,4.83,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Caatinga,barra,0.92,2021,2021/11/01,barra,2021,79058.81857037544 +Caatinga,cotegipe,27.81,2021,2021/05/25,cotegipe,2021,292547.2605621815 +Cerrado,luís eduardo magalhães,135.33,2021,2021/05/30,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,são desidério,2238.44,2021,2021/06/11,são desidério,2021,3159579.701361537 +Cerrado,riachão das neves,1.74,2021,2021/02/01,riachão das neves,2021,761963.2862440944 +Caatinga,santa rita de cássia,0.75,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 +Cerrado,cotegipe,56.34,2021,2021/09/01,cotegipe,2021,292547.2605621815 +Cerrado,cocos,101.3,2021,2021/12/01,cocos,2021,1229644.9681953788 +Mata Atlântica,encruzilhada,41.39,2022,2022/02/28,encruzilhada,2022,414662.0 +Mata Atlântica,itapetinga,27.93,2022,2022/03/31,itapetinga,2022,285382.0 +Cerrado,barreiras,2262.46,2022,2022/01/22,barreiras,2022,996163.0 +Cerrado,jaborandi,2027.38,2022,2022/01/11,jaborandi,2022,1734316.0 +Cerrado,formosa do rio preto,16.34,2022,2022/01/25,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,26.81,2022,2022/01/25,formosa do rio preto,2022,2432263.0 +Cerrado,barreiras,169.7,2022,2022/01/25,barreiras,2022,996163.0 +Cerrado,luís eduardo magalhães,224.27,2022,2022/04/22,luís eduardo magalhães,2022,343098.0 +Mata Atlântica,jequié,8.68,2022,2022/06/30,jequié,2022,498001.0 +Cerrado,correntina,7.41,2022,2022/03/01,correntina,2022,1473135.0 +Cerrado,baianópolis,12.46,2022,2022/03/01,baianópolis,2022,413632.0 +Caatinga,santa rita de cássia,2.71,2022,2022/03/01,santa rita de cássia,2022,569631.0 +Cerrado,cotegipe,79.07,2022,2022/03/01,cotegipe,2022,297663.0 +Cerrado,cotegipe,3.84,2022,2022/03/01,cotegipe,2022,297663.0 +Caatinga,barra,1.57,2022,2022/04/01,barra,2022,312169.0 +Caatinga,cocos,26.15,2022,2022/05/01,cocos,2022,367625.0 +Mata Atlântica,ilhéus,9.13,2022,2022/07/31,ilhéus,2022,209209.0 +Cerrado,são desidério,178.7,2022,2022/09/03,são desidério,2022,2729422.0 +Cerrado,são desidério,40.21,2022,2022/09/06,são desidério,2022,2729422.0 +Cerrado,luís eduardo magalhães,36.29,2022,2022/09/16,luís eduardo magalhães,2022,343098.0 +Cerrado,cocos,16.47,2022,2022/09/01,cocos,2022,367625.0 +Cerrado,formosa do rio preto,12342.73,2022,2022/03/01,formosa do rio preto,2022,2432263.0 +Cerrado,formosa do rio preto,7652.3,2022,2022/04/04,formosa do rio preto,2022,2432263.0 +Cerrado,correntina,198.74,2021,2021/07/28,correntina,2021,1585476.3940644264 +Cerrado,baianópolis,7.42,2021,2021/08/22,baianópolis,2021,1700892.2622466087 +Cerrado,cocos,13.99,2021,2021/07/05,cocos,2021,1229644.9681953788 +Cerrado,cocos,7.72,2021,2021/07/05,cocos,2021,1229644.9681953788 +Cerrado,são desidério,18.37,2021,2021/07/28,são desidério,2021,3159579.701361537 +Cerrado,luís eduardo magalhães,21.72,2021,2021/07/28,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,são desidério,2.62,2021,2021/07/28,são desidério,2021,3159579.701361537 +Cerrado,são desidério,11.58,2021,2021/07/28,são desidério,2021,3159579.701361537 +Cerrado,são desidério,27.12,2021,2021/07/28,são desidério,2021,3159579.701361537 +Cerrado,santa rita de cássia,10.46,2021,2021/07/28,santa rita de cássia,2021,998700.5789114236 +Cerrado,são desidério,18.74,2021,2021/07/28,são desidério,2021,3159579.701361537 +Cerrado,riachão das neves,13.65,2021,2021/07/28,riachão das neves,2021,761963.2862440944 +Cerrado,jaborandi,74.66,2021,2021/07/28,jaborandi,2021,2051920.940728784 +Cerrado,cotegipe,10.03,2021,2021/08/22,cotegipe,2021,292547.2605621815 +Cerrado,cotegipe,19.7,2021,2021/08/22,cotegipe,2021,292547.2605621815 +Cerrado,baianópolis,63.88,2021,2021/08/22,baianópolis,2021,1700892.2622466087 +Cerrado,luís eduardo magalhães,26.39,2021,2021/07/28,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,cocos,2.05,2021,2021/07/05,cocos,2021,1229644.9681953788 +Cerrado,jaborandi,2.36,2021,2021/07/05,jaborandi,2021,2051920.940728784 +Cerrado,cocos,3.83,2021,2021/07/05,cocos,2021,1229644.9681953788 +Cerrado,são desidério,135.3,2021,2021/07/28,são desidério,2021,3159579.701361537 +Cerrado,são desidério,9.1,2021,2021/07/28,são desidério,2021,3159579.701361537 +Cerrado,cocos,3.01,2021,2021/07/05,cocos,2021,1229644.9681953788 +Cerrado,cocos,1.55,2021,2021/07/05,cocos,2021,1229644.9681953788 +Cerrado,cocos,1.91,2021,2021/07/05,cocos,2021,1229644.9681953788 +Cerrado,cocos,1.15,2021,2021/07/05,cocos,2021,1229644.9681953788 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desidério,43.02,2021,2021/07/28,são desidério,2021,3159579.701361537 +Cerrado,barreiras,2.26,2021,2021/07/28,barreiras,2021,958306.347179532 +Cerrado,luís eduardo magalhães,1.71,2021,2021/07/28,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,formosa do rio preto,125.94,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 +Cerrado,luís eduardo magalhães,57.11,2021,2021/07/28,luís eduardo magalhães,2021,654262.0002045631 +Cerrado,jaborandi,56.12,2021,2021/07/28,jaborandi,2021,2051920.940728784 +Cerrado,formosa do rio preto,4.08,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 +Cerrado,são desidério,6.35,2021,2021/07/28,são desidério,2021,3159579.701361537 +Cerrado,formosa do rio preto,4.08,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 +Cerrado,jaborandi,3.22,2021,2021/07/28,jaborandi,2021,2051920.940728784 +Cerrado,riachão das neves,30.58,2021,2021/07/28,riachão das neves,2021,761963.2862440944 +Cerrado,barreiras,6.69,2021,2021/07/28,barreiras,2021,958306.347179532 +Cerrado,cotegipe,1.58,2021,2021/08/22,cotegipe,2021,292547.2605621815 +Cerrado,cotegipe,2.98,2021,2021/08/22,cotegipe,2021,292547.2605621815 From 3899f364df28b47a463d3999bc63bc21652053a8 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 7 Oct 2024 20:28:37 -0300 Subject: [PATCH 54/90] Rename dados_integrados (1).csv to dados_integrados.csv --- dados/{dados_integrados (1).csv => dados_integrados.csv} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename dados/{dados_integrados (1).csv => dados_integrados.csv} (100%) diff --git a/dados/dados_integrados (1).csv b/dados/dados_integrados.csv similarity index 100% rename from dados/dados_integrados (1).csv rename to dados/dados_integrados.csv From 861a6293f5a7c539e0c4c16759f3aa444ede62c9 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Tue, 8 Oct 2024 19:13:39 -0300 Subject: [PATCH 55/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 94 ++++++++++++++++++++++++++++++- 1 file changed, 93 insertions(+), 1 deletion(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 9e3fdf1..f890e58 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -327,7 +327,7 @@ print(df3_final.head()) ``` -### 3. Integração dos Dados de CO₂ e Desmatamento por Município +## 3. Integração dos Dados de CO₂ e Desmatamento por Município ``` python @@ -354,3 +354,95 @@ df_integrado.to_csv('dados_integrados.csv', index=False, encoding='utf-8') ``` +## 4. Visualização + +```python + +# Importar bibliotecas necessárias +import pandas as pd +import matplotlib.pyplot as plt +import seaborn as sns + +# Carregar os dados integrados +df_integrado = pd.read_csv('dados_integrados.csv') + +# Exibir as primeiras linhas do DataFrame para verificar se os dados foram carregados corretamente +print(df_integrado.head()) + +# Definir o estilo para os gráficos +sns.set(style="whitegrid") + +# 1. Gráfico de barras: Desmatamento total por ano +plt.figure(figsize=(10,6)) +sns.barplot(x='ANODETEC', y='AREAHA', data=df_integrado, estimator=sum, ci=None, color='teal') +plt.title('Total de Área Desmatada por Ano (Bahia)', fontsize=14) +plt.xlabel('Ano', fontsize=12) +plt.ylabel('Área Desmatada (ha)', fontsize=12) +plt.xticks(rotation=45) +plt.show() + +# 2. Gráfico de linha: Emissões de CO₂ por ano +plt.figure(figsize=(10,6)) +sns.lineplot(x='Ano', y='CO2_emitido', data=df_integrado, marker='o', color='orange') +plt.title('Emissões de CO₂ por Ano (Bahia)', fontsize=14) +plt.xlabel('Ano', fontsize=12) +plt.ylabel('Emissões de CO₂ (ton)', fontsize=12) +plt.xticks(rotation=45) +plt.show() + +# 3. Gráfico de dispersão: Relação entre área desmatada e CO₂ emitido +plt.figure(figsize=(10,6)) +sns.scatterplot(x='AREAHA', y='CO2_emitido', data=df_integrado, hue='Ano', palette='coolwarm', s=100) +plt.title('Relação entre Área Desmatada e CO₂ Emitido', fontsize=14) +plt.xlabel('Área Desmatada (ha)', fontsize=12) +plt.ylabel('CO₂ Emitido (ton)', fontsize=12) +plt.legend(title='Ano') +plt.show() + +# 4. Gráfico de barras empilhadas: Desmatamento e CO₂ emitido nos 10 municípios com mais desmatamento +plt.figure(figsize=(12,7)) + +# Selecionar os 10 municípios com maiores áreas desmatadas +municipios_mais_desmatados = df_integrado.groupby('MUNICIPIO')['AREAHA'].sum().nlargest(10).index + +# Filtrar o DataFrame para incluir apenas os 10 municípios selecionados +df_municipios_desmatados = df_integrado[df_integrado['MUNICIPIO'].isin(municipios_mais_desmatados)] + +# Criar gráfico de barras empilhadas com área desmatada e CO₂ emitido +sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, hue='ANODETEC', ci=None, palette='viridis') +plt.title('Emissões de CO₂ nos 10 Municípios com Mais Desmatamento por Ano', fontsize=14) +plt.xlabel('Município', fontsize=12) +plt.ylabel('Emissões de CO₂ (ton)', fontsize=12) +plt.xticks(rotation=45) +plt.legend(title='Ano') +plt.show() + +# 5. Gráfico de calor: Correlação entre desmatamento e CO₂ emitido +plt.figure(figsize=(8,6)) +correlation_matrix = df_integrado[['AREAHA', 'CO2_emitido']].corr() +sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', linewidths=0.5) +plt.title('Correlação entre Desmatamento e CO₂ Emitido', fontsize=14) +plt.show() + +# 6. Gráficos separados: Desmatamento e CO₂ por município para os 10 municípios mais desmatados +fig, axs = plt.subplots(2, 1, figsize=(12, 10)) + +# Gráfico de barras para desmatamento nos 10 municípios mais desmatados +sns.barplot(x='MUNICIPIO', y='AREAHA', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[0], color='teal') +axs[0].set_title('Área Desmatada nos 10 Municípios (Bahia)', fontsize=14) +axs[0].set_xlabel('Município', fontsize=12) +axs[0].set_ylabel('Área Desmatada (ha)', fontsize=12) +axs[0].set_xticklabels(axs[0].get_xticklabels(), rotation=45) + +# Gráfico de barras para CO₂ nos 10 municípios mais desmatados +sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[1], color='orange') +axs[1].set_title('Emissões de CO₂ nos 10 Municípios (Bahia)', fontsize=14) +axs[1].set_xlabel('Município', fontsize=12) +axs[1].set_ylabel('Emissões de CO₂ (ton)', fontsize=12) +axs[1].set_xticklabels(axs[1].get_xticklabels(), rotation=45) + +plt.tight_layout() +plt.show() + +``` + From 466a64fdbe64199d74dd9f747d441e1f312fc43f Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Tue, 8 Oct 2024 19:38:51 -0300 Subject: [PATCH 56/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index f890e58..7fdaa79 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -446,3 +446,24 @@ plt.show() ``` +## 5. Banco de dados + + +## 6. Considerações + +Correlações: +Área Desmatada (AREAHHA): 1 (correlação perfeita consigo mesma). +CO₂ Emitido (CO₂_emitido): 1 (correlação perfeita consigo mesma). +Correlação entre Área Desmatada e CO₂ Emitido: 0.19. + +A correlação 1 indica uma correlação positiva perfeita (quando uma variável aumenta, a outra também aumenta). +A correlação -1 indica uma correlação negativa perfeita (quando uma variável aumenta, a outra diminui). +0 indica nenhuma correlação. +0.19 é uma correlação fraca e positiva: + +Significa que, em geral, há uma leve tendência de que, à medida que a área desmatada aumenta, as emissões de CO₂ também aumentam. No entanto, a correlação é fraca, o que significa que essa relação não é forte ou confiável. Ou seja há uma correlação positiva fraca entre desmatamento e CO₂ emitido, mas ela não é forte o suficiente para concluir que um aumento no desmatamento leva a um aumento significativo nas emissões de CO₂. Uma correlação fraca indica que outros fatores podem estar influenciando as emissões de CO₂ (ou consumo de CO2), e mais análises seriam necessárias para entender essa dinâmica. + + +Conclusão + +Como há uma relação fraca, não podemos afirmar que existe uma correlação forte ou direta entre desmatamento e CO₂ emitido com base nos dados apresentados no éríodo analisado. Isso significa que, enquanto algumas áreas desmatadas podem contribuir para emissões de CO₂, a relação não é consistente o suficiente para prever as emissões apenas com base na área desmatada. From 0eb9fb458f097273acb77738b19e4a836225f199 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 17:21:40 -0300 Subject: [PATCH 57/90] Delete dados/projeto_s17_paloma_anne.ipynb --- dados/projeto_s17_paloma_anne.ipynb | 1657 --------------------------- 1 file changed, 1657 deletions(-) delete mode 100644 dados/projeto_s17_paloma_anne.ipynb diff --git a/dados/projeto_s17_paloma_anne.ipynb b/dados/projeto_s17_paloma_anne.ipynb deleted file mode 100644 index 49cfbfc..0000000 --- a/dados/projeto_s17_paloma_anne.ipynb +++ /dev/null @@ -1,1657 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "provenance": [], - "authorship_tag": "ABX9TyOvSBnPVWpwBmHxLVn3qHbT", - "include_colab_link": true - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "view-in-github", - "colab_type": "text" - }, - "source": [ - "\"Open" - ] - }, - { - "cell_type": "markdown", - "source": [ - "**Projeto Final de Análise de Dados**\n", - "\n", - "Desenvolvido por:\n", - "\n", - "Paloma Avena palomaavena@gmail.com\n", - "\n", - "Anne Ribeiro anne.asribeiro@gmail.com\n", - "\n" - ], - "metadata": { - "id": "4nPdko9j_PEt" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Contexto**\n", - "Este projeto consiste na criação de um banco de dados e análise destes dados de desmatamento e CO2 do estado da Bahia nos últimos 5 anos." - ], - "metadata": { - "id": "WIMvI1tp_XVU" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Etapas do projeto:**\n", - "\n", - "\n", - "1. Selecionar a Base de Dados\n", - "2. Definir Objetivo e Perguntas\n", - "3. Realizar Análise Exploratória\n", - "4. Gerar Base Final\n", - "5. Criar Visualizações no Tableau\n", - "6. Preparar Apresentação Final\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], - "metadata": { - "id": "uk5GxJpZ_ouB" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Bases Escolhidas**\n", - "\n", - "Base 1: MapBiomas Alertas\n", - "https://plataforma.alerta.mapbiomas.org/downloads\n", - "\n", - "Base 2: Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)\n", - "https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA.." - ], - "metadata": { - "id": "vqYQ20MD_orK" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Objetivo Geral:**\n", - "\n", - "Criar um banco de dados e realizar uma análise dos dados com o objetivo de identificar variáveis de como o desmatamento na Bahia impacta nas taxas de emissão de CO2 ?" - ], - "metadata": { - "id": "ZypjoEDB_ooh" - } - }, - { - "cell_type": "markdown", - "source": [ - "**As perguntas norteadoras deste projeto são:**\n", - "\n", - "Como o desmatamento na Bahia impacta as taxas de emissão de CO₂ e qual sua relação com a temperatura dos oceanos?\n", - "\n", - "Qual a taxa de desmatamento nos biomas/municípios da Bahia e como ela evoluiu no período de 2019 a 2022?\n", - "\n", - "Qual a taxa de CO2 nos municípios da Bahia e como ela evoluiu no período de 2019 a 2022?\n", - "\n", - "Existe uma relação entre as áreas desmatadas e o aumento de CO2?\n", - "\n", - "Quais regiões da Bahia apresentam as maiores emissões de carbono derivadas do desmatamento?\n", - "\n", - "Houve alguma alteração no período da Pandemia?" - ], - "metadata": { - "id": "mrO_v4O1_olp" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Ferramentas Utilizadas:**\n", - "\n", - "Banco de dados\n", - "Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc.\n", - "Tableau: Para criar as visualizações finais e apresentar os insights gerados.\n", - "GitHub: Para versionamento do projeto e documentação.\n", - "Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem.\n", - "\n" - ], - "metadata": { - "id": "VV5GKSMc_oia" - } - }, - { - "cell_type": "markdown", - "source": [ - "Instalando o **Python**: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador.\n", - "\n", - "Instalando o **Visual Studio Code (VS Code)**: Acesse o site (https://code.visualstudio.com/).\n", - "\n", - "**Extensões** que irão tornar o processo de desenvolvimento mais simples e intuitivo:\n", - "\n", - "SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos SQLite (.db), executar consultas SQL, visualizar dados e até mesmo criar tabelas e colunas diretamente no VS Code.\n", - "\n", - "SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros.\n", - "\n", - "\n", - "**Bibliotecas e módulos:**\n", - "\n", - "sqlite3\n", - "csv\n", - "Pandas\n", - "Seaborn\n", - "Matplotlib\n" - ], - "metadata": { - "id": "n33nNlCqgZFC" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Lendo Dados de um Arquivo CSV e Inserindo no Banco**\n", - "\n", - "Vamos começar lendo dados de um arquivo CSV e inserindo-os em uma tabela do banco de dados SQLite." - ], - "metadata": { - "id": "Mli_IJAwjKhD" - } - }, - { - "cell_type": "code", - "source": [ - "# Criando a Tabela no SQLite\n", - "# Primeiro, vamos criar uma tabela no banco de dados SQLite onde os dados do CSV serão armazenados.\n", - "\n", - "import sqlite3\n", - "\n", - "# Conectando ao banco de dados SQLite (ou criando se não existir)\n", - "conn = sqlite3.connect('banco_projeto.db')\n", - "cursor = conn.cursor()\n", - "\n", - "# Criando a tabela\n", - "cursor.execute(\"\"\"\n", - "CREATE TABLE IF NOT EXISTS dados_projeto (\n", - " id INTEGER PRIMARY KEY AUTOINCREMENT,\n", - " municipio TEXT NOT NULL,\n", - " ano INTEGER NOT NULL,\n", - " co2_t INTEGER NOT NULL,\n", - " area_ha INTEGER NOT NULL,\n", - "\n", - ")\n", - "\"\"\")\n", - "\n", - "# Salvando as mudanças\n", - "conn.commit()" - ], - "metadata": { - "id": "Ji3LEpVgjUL5" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "\n", - "\n", - "> Adicionar aspas\n", - "\n", - "Talvez essa parte seja no final apos os dados trabalhados\n", - "\n", - "> Adicionar aspas\n", - "\n" - ], - "metadata": { - "id": "o_MB9HIap-ww" - } - }, - { - "cell_type": "code", - "source": [ - "# Agora, vamos ler o arquivo CSV e inserir os dados na tabela:\n", - "\n", - "import csv\n", - "import sqlite3\n", - "\n", - "# Conectando ao banco de dados\n", - "conn = sqlite3.connect('banco_projeto.db')\n", - "cursor = conn.cursor()\n", - "\n", - "# Abrindo o arquivo CSV , dados.csv o nome do arquivo\n", - "with open('dados.csv', 'r') as arquivo_csv: # with open('clientes.csv', newline='', encoding='utf-8') as csvfile:\n", - " leitor_csv = csv.reader(arquivo_csv) # leitor = csv.reader(csvfile)\n", - "\n", - " # Pulando o cabeçalho\n", - " next(leitor_csv) # next(leitor)\n", - "\n", - " # Inserindo cada linha do CSV na tabela\n", - " for linha in leitor_csv: # for linha in leitor:\n", - " cursor.execute(\"INSERT INTO dados_projeto (id, municipio, ano, co2_t, area_ha) VALUES (?, ?, ?, ?, ?)\", (linha[0], int(linha[1])) # cursor.execute(\"INSERT INTO clientes (nome, email) VALUES (?, ?)\", (linha[1], linha[2]))\n", - "\n", - " # Insere vários estudantes de uma vez\n", - " # cursor.executemany(\"INSERT INTO estudantes (nome, idade) VALUES (?, ?)\", estudantes)\n", - "\n", - " # consultar https://github.com/palomaavena/on35-python-s08-banco-de-dados-II/tree/main/exercicios/para-casa\n", - "\n", - "# Salvando as mudanças\n", - "conn.commit()\n", - "\n", - "# Fechando a conexão\n", - "cursor.close()\n", - "conn.close()" - ], - "metadata": { - "id": "Tpvq5zsEkIsj" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "\n", - "**Análise exploratória de dados**\n", - "\n" - ], - "metadata": { - "id": "miL-Xxpd_niS" - } - }, - { - "cell_type": "markdown", - "source": [ - "1. DADOS DE CO2 - SEEG\n" - ], - "metadata": { - "id": "c48LiFSG_Fft" - } - }, - { - "cell_type": "markdown", - "source": [ - "Coleta de dados CO2 Bahia, SEEG:\n", - "\n", - "\n", - "link: https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-bahia&_gl=1*gambxz*_ga*MTk5NTgxNjM5MS4xNzI1NjQzNTE1*_ga_XZWSWEJDWQ*MTcyNTY0MzUxNS4xLjAuMTcyNTY0MzUxNS4wLjAuMA..blob:https://plataforma.seeg.eco.br/845fd445-2d02-43a9-bb87-14435bfb6c1b\n", - "\n", - "\n", - "CO2: quantidade em tonelada" - ], - "metadata": { - "id": "vo84te4Y7n-P" - } - }, - { - "cell_type": "markdown", - "source": [ - "Importando os dados das planilhas" - ], - "metadata": { - "id": "rfcw5b-JebFU" - } - }, - { - "cell_type": "code", - "source": [ - "# Primeiro, instale a biblioteca pandas se ainda não estiver instalada\n", - "!pip install pandas\n", - "\n", - "# Importando os dados\n", - "import pandas as pd\n", - "import csv\n", - "\n", - "# Carregando os dois arquivos CSV\n", - "# Caso esteja rodando localmente, altere o caminho dos arquivos.\n", - "# No Colab, você pode fazer upload dos arquivos com os botões de upload e colocar somente o nome do arquivo abaixo\n", - "\n", - "df1 = pd.read_csv('SEEG.csv')\n", - "df2 = pd.read_csv('SEEG1.csv')\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "print(df1.head())\n", - "print(df2.head())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "dxaI-_ekeF9W", - "outputId": "1b116aa2-2e5b-48b5-b4f8-88b67865bacc" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.2.2)\n", - "Requirement already satisfied: numpy>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from pandas) (1.26.4)\n", - "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas) (2.8.2)\n", - "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", - "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", - "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n", - " Categoria 1990 1991 \\\n", - "0 Mudança de Uso da Terra e Floresta 7.034675e+07 7.178002e+07 \n", - "\n", - " 1992 1993 1994 1995 1996 \\\n", - "0 6.619761e+07 7.059627e+07 6.556189e+07 6.583727e+07 5.788894e+07 \n", - "\n", - " 1997 1998 ... 2013 2014 2015 \\\n", - "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", - "\n", - " 2016 2017 2018 2019 2020 \\\n", - "0 3.130805e+07 3.234297e+07 3.804942e+07 3.372027e+07 3.324519e+07 \n", - "\n", - " 2021 2022 \n", - "0 3.181527e+07 31412973 \n", - "\n", - "[1 rows x 34 columns]\n", - " Categoria 1990 1991 1992 \\\n", - "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", - "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", - "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", - 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"--- ------ -------------- ----- \n", - " 0 Categoria 1 non-null object \n", - " 1 1990 1 non-null float64\n", - " 2 1991 1 non-null float64\n", - " 3 1992 1 non-null float64\n", - " 4 1993 1 non-null float64\n", - " 5 1994 1 non-null float64\n", - " 6 1995 1 non-null float64\n", - " 7 1996 1 non-null float64\n", - " 8 1997 1 non-null float64\n", - " 9 1998 1 non-null float64\n", - " 10 1999 1 non-null float64\n", - " 11 2000 1 non-null float64\n", - " 12 2001 1 non-null float64\n", - " 13 2002 1 non-null float64\n", - " 14 2003 1 non-null float64\n", - " 15 2004 1 non-null float64\n", - " 16 2005 1 non-null float64\n", - " 17 2006 1 non-null float64\n", - " 18 2007 1 non-null float64\n", - " 19 2008 1 non-null float64\n", - " 20 2009 1 non-null float64\n", - " 21 2010 1 non-null float64\n", - " 22 2011 1 non-null float64\n", - " 23 2012 1 non-null float64\n", - " 24 2013 1 non-null float64\n", - " 25 2014 1 non-null float64\n", - " 26 2015 1 non-null float64\n", - " 27 2016 1 non-null float64\n", - " 28 2017 1 non-null float64\n", - " 29 2018 1 non-null float64\n", - " 30 2019 1 non-null float64\n", - " 31 2020 1 non-null float64\n", - " 32 2021 1 non-null float64\n", - " 33 2022 1 non-null int64 \n", - "dtypes: float64(32), int64(1), object(1)\n", - "memory usage: 400.0+ bytes\n", - "\n", - "RangeIndex: 31 entries, 0 to 30\n", - "Data columns (total 34 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Categoria 31 non-null object \n", - " 1 1990 31 non-null float64\n", - " 2 1991 31 non-null float64\n", - " 3 1992 31 non-null float64\n", - " 4 1993 31 non-null float64\n", - " 5 1994 31 non-null float64\n", - " 6 1995 31 non-null float64\n", - " 7 1996 31 non-null float64\n", - " 8 1997 31 non-null float64\n", - " 9 1998 31 non-null float64\n", - " 10 1999 31 non-null float64\n", - " 11 2000 31 non-null float64\n", - " 12 2001 31 non-null float64\n", - " 13 2002 31 non-null float64\n", - " 14 2003 31 non-null float64\n", - " 15 2004 31 non-null float64\n", - " 16 2005 31 non-null float64\n", - " 17 2006 31 non-null float64\n", - " 18 2007 31 non-null float64\n", - " 19 2008 31 non-null float64\n", - " 20 2009 31 non-null float64\n", - " 21 2010 31 non-null float64\n", - " 22 2011 31 non-null float64\n", - " 23 2012 31 non-null float64\n", - " 24 2013 31 non-null float64\n", - " 25 2014 31 non-null float64\n", - " 26 2015 31 non-null float64\n", - " 27 2016 31 non-null float64\n", - " 28 2017 31 non-null float64\n", - " 29 2018 31 non-null float64\n", - " 30 2019 31 non-null float64\n", - " 31 2020 31 non-null float64\n", - " 32 2021 31 non-null float64\n", - " 33 2022 31 non-null int64 \n", - "dtypes: float64(32), int64(1), object(1)\n", - "memory usage: 8.4+ KB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Converta todas as colunas de anos para string, por exemplo\n", - "\n", - "df1[['2019', '2020', '2021', '2022']] = df1[['2019', '2020', '2021', '2022']].astype(float)\n", - "df2[['2019', '2020', '2021', '2022']] = df2[['2019', '2020', '2021', '2022']].astype(float)\n", - "\n", - "# Converta a coluna Categoria também, se necessário\n", - "df1['Categoria'] = df1['Categoria'].astype(str)\n", - "df2['Categoria'] = df2['Categoria'].astype(str)\n", - "\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "print(df1.head())\n", - "print(df2.head())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "OqzNW3FoO7zC", - "outputId": "f2305ddf-2ecb-4ff4-ecc1-85c58ce44139" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria 1990 1991 \\\n", - "0 Mudança de Uso da Terra e Floresta 7.034675e+07 7.178002e+07 \n", - "\n", - " 1992 1993 1994 1995 1996 \\\n", - "0 6.619761e+07 7.059627e+07 6.556189e+07 6.583727e+07 5.788894e+07 \n", - "\n", - " 1997 1998 ... 2013 2014 2015 \\\n", - "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", - "\n", - " 2016 2017 2018 2019 2020 \\\n", - "0 3.130805e+07 3.234297e+07 3.804942e+07 3.372027e+07 3.324519e+07 \n", - "\n", - " 2021 2022 \n", - "0 3.181527e+07 31412973.0 \n", - "\n", - "[1 rows x 34 columns]\n", - " Categoria 1990 1991 1992 \\\n", - "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", - "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", - "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", - "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", - "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", - "\n", - " 1993 1994 1995 1996 1997 \\\n", - "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", - "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", - "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", - "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", - "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", - "\n", - " 1998 ... 2013 2014 2015 2016 \\\n", - "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", - "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", - "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", - "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", - "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", - "\n", - " 2017 2018 2019 2020 2021 \\\n", - "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", - "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", - "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", - "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", - "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", - "\n", - " 2022 \n", - "0 2729422.0 \n", - "1 2432263.0 \n", - "2 1734316.0 \n", - "3 1473135.0 \n", - "4 996163.0 \n", - "\n", - "[5 rows x 34 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remover espaços em branco no início e no fim dos valores das colunas de chave\n", - "\n", - "df1['Categoria'] = df1['Categoria'].str.strip()\n", - "df2['Categoria'] = df2['Categoria'].str.strip()\n", - "\n", - "\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "print(df1.head())\n", - "print(df2.head())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "5g1khb57PCoK", - "outputId": "14b66a07-2f56-4599-8f65-ee0e8557b8be" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria 1990 1991 \\\n", - "0 Mudança de Uso da Terra e Floresta 7.034675e+07 7.178002e+07 \n", - "\n", - " 1992 1993 1994 1995 1996 \\\n", - "0 6.619761e+07 7.059627e+07 6.556189e+07 6.583727e+07 5.788894e+07 \n", - "\n", - " 1997 1998 ... 2013 2014 2015 \\\n", - "0 4.795778e+07 4.590264e+07 ... 5.195822e+07 3.719111e+07 3.190265e+07 \n", - "\n", - " 2016 2017 2018 2019 2020 \\\n", - "0 3.130805e+07 3.234297e+07 3.804942e+07 3.372027e+07 3.324519e+07 \n", - "\n", - " 2021 2022 \n", - "0 3.181527e+07 31412973.0 \n", - "\n", - "[1 rows x 34 columns]\n", - " Categoria 1990 1991 1992 \\\n", - "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", - "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", - "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", - "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", - "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", - "\n", - " 1993 1994 1995 1996 1997 \\\n", - "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", - "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", - "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", - "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", - "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", - "\n", - " 1998 ... 2013 2014 2015 2016 \\\n", - "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", - "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", - "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", - "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", - "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", - "\n", - " 2017 2018 2019 2020 2021 \\\n", - "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", - "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", - "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", - "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", - "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", - "\n", - " 2022 \n", - "0 2729422.0 \n", - "1 2432263.0 \n", - "2 1734316.0 \n", - "3 1473135.0 \n", - "4 996163.0 \n", - "\n", - "[5 rows x 34 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "print(\"Valores únicos de Categoria no df1:\", df1['Categoria'].unique())\n", - "print(\"Valores únicos de Categoria no df2:\", df2['Categoria'].unique())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "ujuFqHrRPVJL", - "outputId": "d918341b-9b43-4db2-b7d4-5a2c4976ccaf" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Valores únicos de Categoria no df1: ['Mudança de Uso da Terra e Floresta']\n", - "Valores únicos de Categoria no df2: ['São Desidério (BA)' 'Formosa do Rio Preto (BA)' 'Jaborandi (BA)'\n", - " 'Correntina (BA)' 'Barreiras (BA)' 'Riachão das Neves (BA)'\n", - " 'Santa Rita de Cássia (BA)' 'Jequié (BA)' 'Encruzilhada (BA)'\n", - " 'Baianópolis (BA)' 'Valença (BA)' 'Cocos (BA)' 'Belmonte (BA)'\n", - " 'Luís Eduardo Magalhães (BA)' 'Barra (BA)' 'Cotegipe (BA)'\n", - " 'Ibirapitanga (BA)' 'Itagibá (BA)' 'Itapetinga (BA)' 'Iguaí (BA)'\n", - " 'Maraú (BA)' 'Ibicuí (BA)' 'Guaratinga (BA)' 'Nilo Peçanha (BA)'\n", - " 'Camamu (BA)' 'Itambé (BA)' 'Dário Meira (BA)' 'Igrapiúna (BA)'\n", - " 'Ilhéus (BA)' 'Itarantim (BA)' 'Outros']\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Fazendo a mesclagem com base em várias colunas\n", - "df_merged = pd.merge(df1, df2, on=['Categoria', '2019', '2020', '2021', '2022'], how='outer', suffixes=('.x', '.y'))\n", - "\n", - "\n", - "# Exibindo as primeiras linhas do arquivo mesclado\n", - "print(df_merged.head())\n", - "\n", - "# Salvando o arquivo final mesclado em um novo CSV\n", - "#df_merged.to_csv('co2_mesclado.csv', index=False)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "FfdOp23TLhdk", - "outputId": "6e83fb7e-ec27-45a6-f2e9-2b0f99acacc5" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria 1990.x 1991.x 1992.x 1993.x 1994.x 1995.x 1996.x \\\n", - "0 Baianópolis (BA) NaN NaN NaN NaN NaN NaN NaN \n", - "1 Barra (BA) NaN NaN NaN NaN NaN NaN NaN \n", - "2 Barreiras (BA) NaN NaN NaN NaN NaN NaN NaN \n", - "3 Belmonte (BA) NaN NaN NaN NaN NaN NaN NaN \n", - "4 Camamu (BA) NaN NaN NaN NaN NaN NaN NaN \n", - "\n", - " 1997.x 1998.x ... 2009.y 2010.y 2011.y \\\n", - "0 NaN NaN ... 201533.680923 198100.860538 6.037104e+05 \n", - "1 NaN NaN ... 293285.996844 190840.199123 2.542452e+05 \n", - "2 NaN NaN ... 782536.543400 499205.103294 1.123564e+06 \n", - "3 NaN NaN ... 305481.817527 362152.208117 3.601907e+05 \n", - "4 NaN NaN ... 233046.682173 244347.041716 1.454052e+05 \n", - "\n", - " 2012.y 2013.y 2014.y 2015.y 2016.y \\\n", - "0 6.769915e+05 6.462472e+05 6.534717e+05 4.394508e+05 297636.543553 \n", - "1 2.154561e+05 4.209665e+05 1.320592e+06 7.130062e+05 237763.732862 \n", - "2 2.600460e+06 2.095302e+06 8.441796e+05 1.058625e+06 861108.203390 \n", - "3 2.477949e+05 4.196629e+05 3.442798e+05 3.239090e+05 970812.041222 \n", - "4 2.455068e+05 2.883452e+05 2.205248e+05 1.565318e+05 182309.875579 \n", - "\n", - " 2017.y 2018.y \n", - "0 522833.621365 720253.263252 \n", - "1 373584.710467 381685.422644 \n", - "2 866501.596361 846568.187975 \n", - "3 811434.286499 302593.128041 \n", - "4 283636.498159 325602.310323 \n", - "\n", - "[5 rows x 63 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df_merged.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "9ZQt2hYePVUj", - "outputId": "990d868a-9b4a-4d9a-fb27-44bace3564c9" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 32 entries, 0 to 31\n", - "Data columns (total 63 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Categoria 32 non-null object \n", - " 1 1990.x 1 non-null float64\n", - " 2 1991.x 1 non-null float64\n", - " 3 1992.x 1 non-null float64\n", - " 4 1993.x 1 non-null float64\n", - " 5 1994.x 1 non-null float64\n", - " 6 1995.x 1 non-null float64\n", - " 7 1996.x 1 non-null float64\n", - " 8 1997.x 1 non-null float64\n", - " 9 1998.x 1 non-null float64\n", - " 10 1999.x 1 non-null float64\n", - " 11 2000.x 1 non-null float64\n", - " 12 2001.x 1 non-null float64\n", - " 13 2002.x 1 non-null float64\n", - " 14 2003.x 1 non-null float64\n", - " 15 2004.x 1 non-null float64\n", - " 16 2005.x 1 non-null float64\n", - " 17 2006.x 1 non-null float64\n", - " 18 2007.x 1 non-null float64\n", - " 19 2008.x 1 non-null float64\n", - " 20 2009.x 1 non-null float64\n", - " 21 2010.x 1 non-null float64\n", - " 22 2011.x 1 non-null float64\n", - " 23 2012.x 1 non-null float64\n", - " 24 2013.x 1 non-null float64\n", - " 25 2014.x 1 non-null float64\n", - " 26 2015.x 1 non-null float64\n", - " 27 2016.x 1 non-null float64\n", - " 28 2017.x 1 non-null float64\n", - " 29 2018.x 1 non-null float64\n", - " 30 2019 32 non-null float64\n", - " 31 2020 32 non-null float64\n", - " 32 2021 32 non-null float64\n", - " 33 2022 32 non-null float64\n", - " 34 1990.y 31 non-null float64\n", - " 35 1991.y 31 non-null float64\n", - " 36 1992.y 31 non-null float64\n", - " 37 1993.y 31 non-null float64\n", - " 38 1994.y 31 non-null float64\n", - " 39 1995.y 31 non-null float64\n", - " 40 1996.y 31 non-null float64\n", - " 41 1997.y 31 non-null float64\n", - " 42 1998.y 31 non-null float64\n", - " 43 1999.y 31 non-null float64\n", - " 44 2000.y 31 non-null float64\n", - " 45 2001.y 31 non-null float64\n", - " 46 2002.y 31 non-null float64\n", - " 47 2003.y 31 non-null float64\n", - " 48 2004.y 31 non-null float64\n", - " 49 2005.y 31 non-null float64\n", - " 50 2006.y 31 non-null float64\n", - " 51 2007.y 31 non-null float64\n", - " 52 2008.y 31 non-null float64\n", - " 53 2009.y 31 non-null float64\n", - " 54 2010.y 31 non-null float64\n", - " 55 2011.y 31 non-null float64\n", - " 56 2012.y 31 non-null float64\n", - " 57 2013.y 31 non-null float64\n", - " 58 2014.y 31 non-null float64\n", - " 59 2015.y 31 non-null float64\n", - " 60 2016.y 31 non-null float64\n", - " 61 2017.y 31 non-null float64\n", - " 62 2018.y 31 non-null float64\n", - "dtypes: float64(62), object(1)\n", - "memory usage: 15.9+ KB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Exibe os nomes das colunas\n", - "df_merged.columns" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "_nxnSeaIPvL4", - "outputId": "cf54b6a6-ecea-4cd3-e610-b93c041fcfa1" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "Index(['Categoria', '1990.x', '1991.x', '1992.x', '1993.x', '1994.x', '1995.x',\n", - " '1996.x', '1997.x', '1998.x', '1999.x', '2000.x', '2001.x', '2002.x',\n", - " '2003.x', '2004.x', '2005.x', '2006.x', '2007.x', '2008.x', '2009.x',\n", - " '2010.x', '2011.x', '2012.x', '2013.x', '2014.x', '2015.x', '2016.x',\n", - " '2017.x', '2018.x', '2019', '2020', '2021', '2022', '1990.y', '1991.y',\n", - " '1992.y', '1993.y', '1994.y', '1995.y', '1996.y', '1997.y', '1998.y',\n", - " '1999.y', '2000.y', '2001.y', '2002.y', '2003.y', '2004.y', '2005.y',\n", - " '2006.y', '2007.y', '2008.y', '2009.y', '2010.y', '2011.y', '2012.y',\n", - " '2013.y', '2014.y', '2015.y', '2016.y', '2017.y', '2018.y'],\n", - " dtype='object')" - ] - }, - "metadata": {}, - "execution_count": 40 - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Selecionar as colunas específicas\n", - "\n", - "df_reduzido = df_merged[['Categoria','2019', '2020', '2021', '2022']]\n", - "print(df_reduzido)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "C03aHBXA3taC", - "outputId": "8e02e184-77c0-49ef-f0b4-ca9f1cbdfb12" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria 2019 2020 \\\n", - "0 Baianópolis (BA) 6.074368e+05 7.908150e+05 \n", - "1 Barra (BA) 2.260111e+05 1.397781e+05 \n", - "2 Barreiras (BA) 1.568927e+06 1.179766e+06 \n", - "3 Belmonte (BA) 3.904032e+05 3.505588e+05 \n", - "4 Camamu (BA) 2.214714e+05 4.347414e+05 \n", - "5 Cocos (BA) 9.593941e+05 1.218387e+06 \n", - "6 Correntina (BA) 1.545573e+06 1.060526e+06 \n", - "7 Cotegipe (BA) 3.311638e+05 5.599601e+05 \n", - "8 Dário Meira (BA) 9.440196e+04 9.250477e+04 \n", - "9 Encruzilhada (BA) 4.038959e+05 4.516205e+05 \n", - "10 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 \n", - "11 Guaratinga (BA) 2.117080e+05 2.516566e+05 \n", - "12 Ibicuí (BA) 1.696392e+04 3.524000e+04 \n", - "13 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 \n", - "14 Igrapiúna (BA) 2.576941e+05 3.782366e+05 \n", - "15 Iguaí (BA) 8.222719e+04 1.274713e+05 \n", - "16 Ilhéus (BA) 1.588721e+05 1.912059e+05 \n", - "17 Itagibá (BA) 1.216756e+05 7.210208e+04 \n", - "18 Itambé (BA) 1.001077e+05 1.444300e+05 \n", - "19 Itapetinga (BA) 5.707418e+04 4.613513e+04 \n", - "20 Itarantim (BA) 3.847215e+04 6.031930e+04 \n", - "21 Jaborandi (BA) 1.706968e+06 1.744004e+06 \n", - "22 Jequié (BA) 2.491692e+05 1.862657e+05 \n", - "23 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 \n", - "24 Maraú (BA) 8.020749e+04 1.701269e+05 \n", - "25 Mudança de Uso da Terra e Floresta 3.372027e+07 3.324519e+07 \n", - "26 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 \n", - "27 Outros 1.554645e+07 1.304776e+07 \n", - "28 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 \n", - "29 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 \n", - "30 São Desidério (BA) 2.024108e+06 3.091203e+06 \n", - "31 Valença (BA) 2.476738e+05 4.276377e+05 \n", - "\n", - " 2021 2022 \n", - "0 1.700892e+06 413632.0 \n", - "1 7.905882e+04 312169.0 \n", - "2 9.583063e+05 996163.0 \n", - "3 3.314850e+05 354868.0 \n", - "4 1.635482e+05 232571.0 \n", - "5 1.229645e+06 367625.0 \n", - "6 1.585476e+06 1473135.0 \n", - "7 2.925473e+05 297663.0 \n", - "8 1.017979e+05 217077.0 \n", - "9 5.873154e+05 414662.0 \n", - "10 2.299738e+06 2432263.0 \n", - "11 1.717426e+05 243882.0 \n", - "12 2.780070e+04 245755.0 \n", - "13 7.243660e+04 292758.0 \n", - "14 1.486217e+05 210971.0 \n", - "15 1.559627e+05 277970.0 \n", - "16 1.317151e+05 209209.0 \n", - "17 1.114533e+05 288483.0 \n", - "18 6.526349e+04 227632.0 \n", - "19 2.072777e+04 285382.0 \n", - "20 1.040533e+04 203154.0 \n", - "21 2.051921e+06 1734316.0 \n", - "22 1.639264e+05 498001.0 \n", - "23 6.542620e+05 343098.0 \n", - "24 1.032113e+05 275953.0 \n", - "25 3.181527e+07 31412973.0 \n", - "26 5.956842e+04 238334.0 \n", - "27 1.342087e+07 13978140.0 \n", - "28 7.619633e+05 670183.0 \n", - "29 9.987006e+05 569631.0 \n", - "30 3.159580e+06 2729422.0 \n", - "31 1.953325e+05 378871.0 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Altera os nomes das colunas\n", - "\n", - "df_reduzido.columns = ['Municípios', '2019', '2020', '2021', '2022']\n", - "print(df_reduzido)" - ], - "metadata": { - "id": "hJwmd2gz47IT", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "8d115c57-993c-4534-b012-3d6e641176dc" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 \\\n", - "0 Baianópolis (BA) 6.074368e+05 7.908150e+05 \n", - "1 Barra (BA) 2.260111e+05 1.397781e+05 \n", - "2 Barreiras (BA) 1.568927e+06 1.179766e+06 \n", - "3 Belmonte (BA) 3.904032e+05 3.505588e+05 \n", - "4 Camamu (BA) 2.214714e+05 4.347414e+05 \n", - "5 Cocos (BA) 9.593941e+05 1.218387e+06 \n", - "6 Correntina (BA) 1.545573e+06 1.060526e+06 \n", - "7 Cotegipe (BA) 3.311638e+05 5.599601e+05 \n", - "8 Dário Meira (BA) 9.440196e+04 9.250477e+04 \n", - "9 Encruzilhada (BA) 4.038959e+05 4.516205e+05 \n", - "10 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 \n", - "11 Guaratinga (BA) 2.117080e+05 2.516566e+05 \n", - "12 Ibicuí (BA) 1.696392e+04 3.524000e+04 \n", - "13 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 \n", - "14 Igrapiúna (BA) 2.576941e+05 3.782366e+05 \n", - "15 Iguaí (BA) 8.222719e+04 1.274713e+05 \n", - "16 Ilhéus (BA) 1.588721e+05 1.912059e+05 \n", - "17 Itagibá (BA) 1.216756e+05 7.210208e+04 \n", - "18 Itambé (BA) 1.001077e+05 1.444300e+05 \n", - "19 Itapetinga (BA) 5.707418e+04 4.613513e+04 \n", - "20 Itarantim (BA) 3.847215e+04 6.031930e+04 \n", - "21 Jaborandi (BA) 1.706968e+06 1.744004e+06 \n", - "22 Jequié (BA) 2.491692e+05 1.862657e+05 \n", - "23 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 \n", - "24 Maraú (BA) 8.020749e+04 1.701269e+05 \n", - "25 Mudança de Uso da Terra e Floresta 3.372027e+07 3.324519e+07 \n", - "26 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 \n", - "27 Outros 1.554645e+07 1.304776e+07 \n", - "28 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 \n", - "29 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 \n", - "30 São Desidério (BA) 2.024108e+06 3.091203e+06 \n", - "31 Valença (BA) 2.476738e+05 4.276377e+05 \n", - "\n", - " 2021 2022 \n", - "0 1.700892e+06 413632.0 \n", - "1 7.905882e+04 312169.0 \n", - "2 9.583063e+05 996163.0 \n", - "3 3.314850e+05 354868.0 \n", - "4 1.635482e+05 232571.0 \n", - "5 1.229645e+06 367625.0 \n", - "6 1.585476e+06 1473135.0 \n", - "7 2.925473e+05 297663.0 \n", - "8 1.017979e+05 217077.0 \n", - "9 5.873154e+05 414662.0 \n", - "10 2.299738e+06 2432263.0 \n", - "11 1.717426e+05 243882.0 \n", - "12 2.780070e+04 245755.0 \n", - "13 7.243660e+04 292758.0 \n", - "14 1.486217e+05 210971.0 \n", - "15 1.559627e+05 277970.0 \n", - "16 1.317151e+05 209209.0 \n", - "17 1.114533e+05 288483.0 \n", - "18 6.526349e+04 227632.0 \n", - "19 2.072777e+04 285382.0 \n", - "20 1.040533e+04 203154.0 \n", - "21 2.051921e+06 1734316.0 \n", - "22 1.639264e+05 498001.0 \n", - "23 6.542620e+05 343098.0 \n", - "24 1.032113e+05 275953.0 \n", - "25 3.181527e+07 31412973.0 \n", - "26 5.956842e+04 238334.0 \n", - "27 1.342087e+07 13978140.0 \n", - "28 7.619633e+05 670183.0 \n", - "29 9.987006e+05 569631.0 \n", - "30 3.159580e+06 2729422.0 \n", - "31 1.953325e+05 378871.0 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Verifica valores nulos\n", - "\n", - "nulos = df_reduzido.isnull()\n", - "print(nulos)\n", - "\n", - "# Contagem de valores nulos em cada coluna\n", - "\n", - "nulos_por_coluna = df_reduzido.isnull().sum()\n", - "print(nulos_por_coluna)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "4XDFa2Ol6Fgg", - "outputId": "0a75c668-4ddd-4801-b6ed-d4bc6a90b8a3" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 2021 2022\n", - "0 False False False False False\n", - "1 False False False False False\n", - "2 False False False False False\n", - "3 False False False False False\n", - "4 False False False False False\n", - "5 False False False False False\n", - "6 False False False False False\n", - "7 False False False False False\n", - "8 False False False False False\n", - "9 False False False False False\n", - "10 False False False False False\n", - "11 False False False False False\n", - "12 False False False False False\n", - "13 False False False False False\n", - "14 False False False False False\n", - "15 False False False False False\n", - "16 False False False False False\n", - "17 False False False False False\n", - "18 False False False False False\n", - "19 False False False False False\n", - "20 False False False False False\n", - "21 False False False False False\n", - "22 False False False False False\n", - "23 False False False False False\n", - "24 False False False False False\n", - "25 False False False False False\n", - "26 False False False False False\n", - "27 False False False False False\n", - "28 False False False False False\n", - "29 False False False False False\n", - "30 False False False False False\n", - "31 False False False False False\n", - "Municípios 0\n", - "2019 0\n", - "2020 0\n", - "2021 0\n", - "2022 0\n", - "dtype: int64\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remove linhas duplicadas\n", - "\n", - "df_sem_duplicatas = df_reduzido.drop_duplicates()\n", - "print(df_sem_duplicatas)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "RdfDmG8I6UuT", - "outputId": "91cf09cc-13a8-4003-efc3-97a46b7c771e" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 \\\n", - "0 Baianópolis (BA) 6.074368e+05 7.908150e+05 \n", - "1 Barra (BA) 2.260111e+05 1.397781e+05 \n", - "2 Barreiras (BA) 1.568927e+06 1.179766e+06 \n", - "3 Belmonte (BA) 3.904032e+05 3.505588e+05 \n", - "4 Camamu (BA) 2.214714e+05 4.347414e+05 \n", - "5 Cocos (BA) 9.593941e+05 1.218387e+06 \n", - "6 Correntina (BA) 1.545573e+06 1.060526e+06 \n", - "7 Cotegipe (BA) 3.311638e+05 5.599601e+05 \n", - "8 Dário Meira (BA) 9.440196e+04 9.250477e+04 \n", - "9 Encruzilhada (BA) 4.038959e+05 4.516205e+05 \n", - "10 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 \n", - "11 Guaratinga (BA) 2.117080e+05 2.516566e+05 \n", - "12 Ibicuí (BA) 1.696392e+04 3.524000e+04 \n", - "13 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 \n", - "14 Igrapiúna (BA) 2.576941e+05 3.782366e+05 \n", - "15 Iguaí (BA) 8.222719e+04 1.274713e+05 \n", - "16 Ilhéus (BA) 1.588721e+05 1.912059e+05 \n", - "17 Itagibá (BA) 1.216756e+05 7.210208e+04 \n", - "18 Itambé (BA) 1.001077e+05 1.444300e+05 \n", - "19 Itapetinga (BA) 5.707418e+04 4.613513e+04 \n", - "20 Itarantim (BA) 3.847215e+04 6.031930e+04 \n", - "21 Jaborandi (BA) 1.706968e+06 1.744004e+06 \n", - "22 Jequié (BA) 2.491692e+05 1.862657e+05 \n", - "23 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 \n", - "24 Maraú (BA) 8.020749e+04 1.701269e+05 \n", - "25 Mudança de Uso da Terra e Floresta 3.372027e+07 3.324519e+07 \n", - "26 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 \n", - "27 Outros 1.554645e+07 1.304776e+07 \n", - "28 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 \n", - "29 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 \n", - "30 São Desidério (BA) 2.024108e+06 3.091203e+06 \n", - "31 Valença (BA) 2.476738e+05 4.276377e+05 \n", - "\n", - " 2021 2022 \n", - "0 1.700892e+06 413632.0 \n", - "1 7.905882e+04 312169.0 \n", - "2 9.583063e+05 996163.0 \n", - "3 3.314850e+05 354868.0 \n", - "4 1.635482e+05 232571.0 \n", - "5 1.229645e+06 367625.0 \n", - "6 1.585476e+06 1473135.0 \n", - "7 2.925473e+05 297663.0 \n", - "8 1.017979e+05 217077.0 \n", - "9 5.873154e+05 414662.0 \n", - "10 2.299738e+06 2432263.0 \n", - "11 1.717426e+05 243882.0 \n", - "12 2.780070e+04 245755.0 \n", - "13 7.243660e+04 292758.0 \n", - "14 1.486217e+05 210971.0 \n", - "15 1.559627e+05 277970.0 \n", - "16 1.317151e+05 209209.0 \n", - "17 1.114533e+05 288483.0 \n", - "18 6.526349e+04 227632.0 \n", - "19 2.072777e+04 285382.0 \n", - "20 1.040533e+04 203154.0 \n", - "21 2.051921e+06 1734316.0 \n", - "22 1.639264e+05 498001.0 \n", - "23 6.542620e+05 343098.0 \n", - "24 1.032113e+05 275953.0 \n", - "25 3.181527e+07 31412973.0 \n", - "26 5.956842e+04 238334.0 \n", - "27 1.342087e+07 13978140.0 \n", - "28 7.619633e+05 670183.0 \n", - "29 9.987006e+05 569631.0 \n", - "30 3.159580e+06 2729422.0 \n", - "31 1.953325e+05 378871.0 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df_sem_duplicatas = pd.melt(df_sem_duplicatas, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido')\n", - "\n", - "print(df_sem_duplicatas)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "y-O4AWyvWiKo", - "outputId": "ebfcf814-8fc9-45b8-bba9-205e2449657d" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios Ano CO2_emitido\n", - "0 Baianópolis (BA) 2019 6.074368e+05\n", - "1 Barra (BA) 2019 2.260111e+05\n", - "2 Barreiras (BA) 2019 1.568927e+06\n", - "3 Belmonte (BA) 2019 3.904032e+05\n", - "4 Camamu (BA) 2019 2.214714e+05\n", - ".. ... ... ...\n", - "123 Outros 2022 1.397814e+07\n", - "124 Riachão das Neves (BA) 2022 6.701830e+05\n", - "125 Santa Rita de Cássia (BA) 2022 5.696310e+05\n", - "126 São Desidério (BA) 2022 2.729422e+06\n", - "127 Valença (BA) 2022 3.788710e+05\n", - "\n", - "[128 rows x 3 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Salvando o arquivo final mesclado em um novo CSV\n", - "\n", - "df_sem_duplicatas.to_csv('co2.csv', index=False, encoding='utf-8')\n", - "\n", - "print(df_sem_duplicatas)\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "rAUV5SOqQPex", - "outputId": "798b2bd5-95a9-4d9a-b01a-b13d8202eeb1" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios Ano CO2_emitido\n", - "0 Baianópolis (BA) 2019 6.074368e+05\n", - "1 Barra (BA) 2019 2.260111e+05\n", - "2 Barreiras (BA) 2019 1.568927e+06\n", - "3 Belmonte (BA) 2019 3.904032e+05\n", - "4 Camamu (BA) 2019 2.214714e+05\n", - ".. ... ... ...\n", - "123 Outros 2022 1.397814e+07\n", - "124 Riachão das Neves (BA) 2022 6.701830e+05\n", - "125 Santa Rita de Cássia (BA) 2022 5.696310e+05\n", - "126 São Desidério (BA) 2022 2.729422e+06\n", - "127 Valença (BA) 2022 3.788710e+05\n", - "\n", - "[128 rows x 3 columns]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**2. DADOS DESMATAMENTO - MAPBIOMAS**" - ], - "metadata": { - "id": "4b3RXVJPee-P" - } - }, - { - "cell_type": "code", - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt" - ], - "metadata": { - "id": "GGWC3zlhehXu" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# importando dados\n", - "\n", - "df3 = pd.read_csv('mapbiomas_ba.csv')\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "\n", - "print(df3.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "dOTnbHapgsxF", - "outputId": "54e20fc2-b210-4d27-f225-37dcf2427f4a" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " CODEALERTA FONTE BIOMA ESTADO MUNICIPIO AREAHA \\\n", - "0 1226926 {SAD-CAATINGA} Caatinga BAHIA Iaçu 2.96 \n", - "1 1226922 {SAD-CAATINGA} Caatinga BAHIA Miguel Calmon 1.69 \n", - "2 1227303 {SAD-CAATINGA} Caatinga BAHIA Buritirama 2.05 \n", - "3 1227296 {SAD-CAATINGA} Caatinga BAHIA Piatã 0.69 \n", - "4 1227291 {SAD-CAATINGA} Caatinga BAHIA Cotegipe 23.97 \n", - "\n", - " ANODETEC DATADETEC DTIMGANT DTIMGDEP DTPUBLI VPRESSAO \n", - "0 2024.0 2024/01/01 2023/01/26 2024/02/14 2024/04/30 agriculture \n", - "1 2024.0 2024/01/01 2023/06/30 2024/01/31 2024/04/30 agriculture \n", - "2 2024.0 2024/01/01 2023/03/17 2023/10/10 2024/04/30 agriculture \n", - "3 2024.0 2024/01/01 2023/04/27 2023/06/17 2024/04/30 agriculture \n", - "4 2024.0 2024/01/01 2023/08/12 2023/10/17 2024/04/30 agriculture \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df3.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "TUEysu1IQn2V", - "outputId": "fb2776d2-5a4e-44c9-afc9-48f959320c75" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 12 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 CODEALERTA 28397 non-null int64 \n", - " 1 FONTE 28397 non-null object \n", - " 2 BIOMA 28397 non-null object \n", - " 3 ESTADO 28397 non-null object \n", - " 4 MUNICIPIO 28397 non-null object \n", - " 5 AREAHA 28397 non-null float64\n", - " 6 ANODETEC 28397 non-null float64\n", - " 7 DATADETEC 28397 non-null object \n", - " 8 DTIMGANT 28397 non-null object \n", - " 9 DTIMGDEP 28397 non-null object \n", - " 10 DTPUBLI 28397 non-null object \n", - " 11 VPRESSAO 28397 non-null object \n", - "dtypes: float64(2), int64(1), object(9)\n", - "memory usage: 2.6+ MB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Converta todas as colunas de anos para int, por exemplo\n", - "\n", - "df3[['ANODETEC']] = df3[['ANODETEC']].astype(int)\n", - "\n", - "df3.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "_0gvkwXlQnbU", - "outputId": "8d13d449-83e4-4cbe-f737-ff3273f6c31e" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 12 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 CODEALERTA 28397 non-null int64 \n", - " 1 FONTE 28397 non-null object \n", - " 2 BIOMA 28397 non-null object \n", - " 3 ESTADO 28397 non-null object \n", - " 4 MUNICIPIO 28397 non-null object \n", - " 5 AREAHA 28397 non-null float64\n", - " 6 ANODETEC 28397 non-null int64 \n", - " 7 DATADETEC 28397 non-null object \n", - " 8 DTIMGANT 28397 non-null object \n", - " 9 DTIMGDEP 28397 non-null object \n", - " 10 DTPUBLI 28397 non-null object \n", - " 11 VPRESSAO 28397 non-null object \n", - "dtypes: float64(1), int64(2), object(9)\n", - "memory usage: 2.6+ MB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remover múltiplas colunas de uma vez, temos que deixar municipio, area ha (pra calcular o desmatamento, data tec e ano)\n", - "\n", - "colunas_para_remover = ['CODEALERTA', 'FONTE', 'ESTADO', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'VPRESSAO']\n", - "\n", - "df3_limpo = df3.drop(columns=colunas_para_remover)\n", - "\n", - "print(df3_limpo.head())" - ], - "metadata": { - "id": "UHR6fDjZfFf9", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "35550a0b-892a-463f-935e-b122c730c18e" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA MUNICIPIO AREAHA ANODETEC DATADETEC\n", - "0 Caatinga Iaçu 2.96 2024 2024/01/01\n", - "1 Caatinga Miguel Calmon 1.69 2024 2024/01/01\n", - "2 Caatinga Buritirama 2.05 2024 2024/01/01\n", - "3 Caatinga Piatã 0.69 2024 2024/01/01\n", - "4 Caatinga Cotegipe 23.97 2024 2024/01/01\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "print(df3_limpo.info())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "WBdJUsJ9f3Yi", - "outputId": "273a420e-c4da-44b4-fc3b-9548f8b6850f" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 BIOMA 28397 non-null object \n", - " 1 MUNICIPIO 28397 non-null object \n", - " 2 AREAHA 28397 non-null float64\n", - " 3 ANODETEC 28397 non-null int64 \n", - " 4 DATADETEC 28397 non-null object \n", - "dtypes: float64(1), int64(1), object(3)\n", - "memory usage: 1.1+ MB\n", - "None\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Verificar se tem valores faltantes\n", - "\n", - "print(df3_limpo.isnull().sum())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Jeufw3Gvf6gj", - "outputId": "daaaf05e-b322-4229-b29f-95a91ddf3bd2" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BIOMA 0\n", - "MUNICIPIO 0\n", - "AREAHA 0\n", - "ANODETEC 0\n", - "DATADETEC 0\n", - "dtype: int64\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df3_MUN = df3_limpo.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df3_MUN.head())\n", - "\n", - "df3_ANO = df3_limpo.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df3_ANO.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "4LvRvq8pSL8G", - "outputId": "4103c8eb-0c72-4e69-ed0d-28ed38d783e0" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " MUNICIPIO AREAHA\n", - "0 Abaré 22.43\n", - "1 Abaíra 69.20\n", - "2 Acajutiba 127.70\n", - "3 Adustina 482.47\n", - "4 Aiquara 175.27\n", - " ANODETEC AREAHA\n", - "0 2019 64554.41\n", - "1 2020 113073.16\n", - "2 2021 154250.73\n", - "3 2022 227779.90\n", - "4 2023 290593.00\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Salvando o arquivo final em um novo CSV\n", - "\n", - "df3_limpo.to_csv('desmatamento.csv', index=False)\n", - "\n", - "print(df3_limpo)" - ], - "metadata": { - "id": "Dmt95mSDi-XN", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "31168c05-9234-4240-e93f-844adedf2962" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA MUNICIPIO AREAHA ANODETEC DATADETEC\n", - "0 Caatinga Iaçu 2.96 2024 2024/01/01\n", - "1 Caatinga Miguel Calmon 1.69 2024 2024/01/01\n", - "2 Caatinga Buritirama 2.05 2024 2024/01/01\n", - "3 Caatinga Piatã 0.69 2024 2024/01/01\n", - "4 Caatinga Cotegipe 23.97 2024 2024/01/01\n", - "... ... ... ... ... ...\n", - "28392 Caatinga Guajeru 1.47 2024 2024/01/01\n", - "28393 Caatinga Filadélfia 1.56 2024 2024/01/01\n", - "28394 Caatinga Itaberaba 54.26 2024 2024/01/01\n", - "28395 Caatinga Barra da Estiva 7.11 2024 2024/01/01\n", - "28396 Caatinga Várzea da Roça 2.37 2024 2024/01/01\n", - "\n", - "[28397 rows x 5 columns]\n" - ] - } - ] - } - ] -} From 1a19d600a6573c3354113d68fd72ed4ebb654c03 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 17:22:02 -0300 Subject: [PATCH 58/90] Delete dados/dados_integrados.csv --- dados/dados_integrados.csv | 4369 ------------------------------------ 1 file changed, 4369 deletions(-) delete mode 100644 dados/dados_integrados.csv diff --git a/dados/dados_integrados.csv b/dados/dados_integrados.csv deleted file mode 100644 index 0dd9994..0000000 --- a/dados/dados_integrados.csv +++ /dev/null @@ -1,4369 +0,0 @@ -BIOMA,MUNICIPIO,AREAHA,ANODETEC,DATADETEC,Municípios,Ano,CO2_emitido -Cerrado,são desidério,12.52,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,luís eduardo magalhães,4.83,2021,2021/07/28,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,riachão das neves,7.41,2021,2021/07/28,riachão das neves,2021,761963.2862440944 -Cerrado,baianópolis,2.91,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,santa rita de cássia,2.3,2021,2021/07/05,santa rita de cássia,2021,998700.5789114236 -Cerrado,santa rita de cássia,2.48,2021,2021/07/05,santa rita de cássia,2021,998700.5789114236 -Cerrado,riachão das neves,25.49,2022,2022/02/01,riachão das neves,2022,670183.0 -Cerrado,baianópolis,366.63,2022,2022/09/03,baianópolis,2022,413632.0 -Cerrado,cotegipe,143.85,2022,2022/09/06,cotegipe,2022,297663.0 -Cerrado,baianópolis,32.63,2022,2022/09/05,baianópolis,2022,413632.0 -Cerrado,são desidério,332.29,2022,2022/09/28,são desidério,2022,2729422.0 -Cerrado,jaborandi,1389.44,2022,2022/09/02,jaborandi,2022,1734316.0 -Mata Atlântica,encruzilhada,5.06,2022,2022/07/31,encruzilhada,2022,414662.0 -Caatinga,jaborandi,5.74,2022,2022/05/01,jaborandi,2022,1734316.0 -Caatinga,barra,217.43,2022,2022/05/01,barra,2022,312169.0 -Cerrado,barreiras,27.66,2022,2022/09/16,barreiras,2022,996163.0 -Cerrado,são desidério,1666.34,2022,2022/09/06,são desidério,2022,2729422.0 -Cerrado,correntina,2200.52,2022,2022/09/06,correntina,2022,1473135.0 -Cerrado,formosa do rio preto,280.92,2022,2022/10/18,formosa do rio preto,2022,2432263.0 -Cerrado,correntina,661.07,2022,2022/10/06,correntina,2022,1473135.0 -Cerrado,são desidério,240.87,2022,2022/10/18,são desidério,2022,2729422.0 -Cerrado,luís eduardo magalhães,433.0,2022,2022/10/03,luís eduardo magalhães,2022,343098.0 -Cerrado,são desidério,120.03,2022,2022/10/13,são desidério,2022,2729422.0 -Cerrado,santa rita de cássia,88.82,2022,2022/10/06,santa rita de cássia,2022,569631.0 -Cerrado,riachão das neves,8.51,2022,2022/10/29,riachão das neves,2022,670183.0 -Cerrado,cotegipe,46.26,2022,2022/10/26,cotegipe,2022,297663.0 -Cerrado,jaborandi,3.81,2022,2022/10/21,jaborandi,2022,1734316.0 -Cerrado,correntina,21.65,2022,2022/10/03,correntina,2022,1473135.0 -Cerrado,barreiras,58.34,2022,2022/10/26,barreiras,2022,996163.0 -Cerrado,riachão das neves,90.58,2022,2022/10/15,riachão das neves,2022,670183.0 -Caatinga,barra,135.99,2022,2022/06/01,barra,2022,312169.0 -Caatinga,barra,65.6,2022,2022/06/01,barra,2022,312169.0 -Caatinga,barra,152.97,2022,2022/05/01,barra,2022,312169.0 -Caatinga,barra,11.6,2022,2022/06/01,barra,2022,312169.0 -Cerrado,santa rita de cássia,6.65,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,8.77,2022,2022/06/01,barra,2022,312169.0 -Cerrado,riachão das neves,38.47,2022,2022/08/01,riachão das neves,2022,670183.0 -Cerrado,santa rita de cássia,3.91,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,10.5,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,1.79,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,cotegipe,6.36,2022,2022/08/01,cotegipe,2022,297663.0 -Cerrado,santa rita de cássia,4.53,2022,2022/08/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,4.34,2022,2022/06/01,barra,2022,312169.0 -Caatinga,barra,4.57,2022,2022/06/01,barra,2022,312169.0 -Caatinga,barra,444.6,2022,2022/06/01,barra,2022,312169.0 -Cerrado,santa rita de cássia,10.61,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,10.77,2022,2022/08/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,26.2,2022,2022/07/01,santa rita de cássia,2022,569631.0 -Cerrado,riachão das neves,191.21,2022,2022/09/01,riachão das neves,2022,670183.0 -Caatinga,barra,2.17,2022,2022/07/01,barra,2022,312169.0 -Caatinga,santa rita de cássia,9.58,2022,2022/07/01,santa rita de cássia,2022,569631.0 -Cerrado,são desidério,1342.62,2022,2022/11/13,são desidério,2022,2729422.0 -Cerrado,riachão das neves,550.93,2022,2022/11/13,riachão das neves,2022,670183.0 -Caatinga,santa rita de cássia,49.8,2022,2022/06/01,santa rita de cássia,2022,569631.0 -Cerrado,correntina,420.63,2022,2022/11/10,correntina,2022,1473135.0 -Cerrado,santa rita de cássia,8.59,2022,2022/08/01,santa rita de cássia,2022,569631.0 -Mata Atlântica,ibicuí,1.72,2022,2022/09/30,ibicuí,2022,245755.0 -Caatinga,barra,84.85,2022,2022/06/01,barra,2022,312169.0 -Mata Atlântica,valença,2.0,2022,2022/09/30,valença,2022,378871.0 -Cerrado,santa rita de cássia,140.77,2022,2022/08/01,santa rita de cássia,2022,569631.0 -Cerrado,barreiras,7.15,2022,2022/09/01,barreiras,2022,996163.0 -Caatinga,santa rita de cássia,31.57,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,cotegipe,30.09,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,49.05,2022,2022/08/01,cotegipe,2022,297663.0 -Cerrado,barreiras,154.47,2022,2022/09/01,barreiras,2022,996163.0 -Cerrado,santa rita de cássia,3.33,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,jequié,23.0,2022,2022/08/01,jequié,2022,498001.0 -Caatinga,cotegipe,8.54,2022,2022/08/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,0.99,2022,2022/08/01,cotegipe,2022,297663.0 -Caatinga,santa rita de cássia,2.29,2022,2022/08/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,5.0,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,cotegipe,12.81,2022,2022/08/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,49.15,2022,2022/08/01,cotegipe,2022,297663.0 -Cerrado,cotegipe,11.44,2022,2022/12/10,cotegipe,2022,297663.0 -Cerrado,santa rita de cássia,18.25,2022,2022/12/29,santa rita de cássia,2022,569631.0 -Cerrado,jaborandi,13.91,2022,2022/12/29,jaborandi,2022,1734316.0 -Cerrado,baianópolis,722.1,2022,2022/12/05,baianópolis,2022,413632.0 -Cerrado,riachão das neves,105.99,2022,2022/12/20,riachão das neves,2022,670183.0 -Cerrado,santa rita de cássia,33.08,2022,2022/12/30,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,22.21,2022,2022/12/30,santa rita de cássia,2022,569631.0 -Caatinga,cotegipe,9.33,2022,2022/08/01,cotegipe,2022,297663.0 -Cerrado,santa rita de cássia,122.73,2022,2022/12/30,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,1.7,2022,2022/08/01,santa rita de cássia,2022,569631.0 -Cerrado,cotegipe,18.46,2022,2022/12/10,cotegipe,2022,297663.0 -Cerrado,cotegipe,386.17,2022,2022/12/10,cotegipe,2022,297663.0 -Cerrado,jaborandi,279.21,2022,2022/12/29,jaborandi,2022,1734316.0 -Caatinga,santa rita de cássia,14.79,2022,2022/08/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,93.79,2022,2022/08/01,barra,2022,312169.0 -Cerrado,formosa do rio preto,263.58,2022,2022/12/29,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,29.68,2022,2022/12/30,santa rita de cássia,2022,569631.0 -Cerrado,formosa do rio preto,12.93,2022,2022/12/20,formosa do rio preto,2022,2432263.0 -Caatinga,santa rita de cássia,94.66,2022,2022/08/01,santa rita de cássia,2022,569631.0 -Caatinga,cotegipe,277.34,2022,2022/08/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,39.72,2022,2022/08/01,cotegipe,2022,297663.0 -Cerrado,formosa do rio preto,18.92,2022,2022/12/20,formosa do rio preto,2022,2432263.0 -Cerrado,barreiras,148.0,2022,2022/12/30,barreiras,2022,996163.0 -Cerrado,são desidério,1588.41,2022,2022/12/10,são desidério,2022,2729422.0 -Cerrado,jaborandi,1048.97,2022,2022/12/20,jaborandi,2022,1734316.0 -Cerrado,baianópolis,115.56,2022,2022/12/10,baianópolis,2022,413632.0 -Cerrado,baianópolis,283.33,2022,2022/12/10,baianópolis,2022,413632.0 -Cerrado,correntina,1556.07,2022,2022/12/10,correntina,2022,1473135.0 -Caatinga,santa rita de cássia,7.83,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Cerrado,luís eduardo magalhães,162.93,2022,2022/12/29,luís eduardo magalhães,2022,343098.0 -Caatinga,jaborandi,12.56,2022,2022/09/01,jaborandi,2022,1734316.0 -Caatinga,santa rita de cássia,3.65,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,12.28,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Cerrado,riachão das neves,301.64,2022,2022/12/20,riachão das neves,2022,670183.0 -Cerrado,são desidério,74.25,2022,2022/12/29,são desidério,2022,2729422.0 -Caatinga,santa rita de cássia,5.5,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,8.62,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,cotegipe,5.24,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,11.3,2022,2022/09/01,cotegipe,2022,297663.0 -Cerrado,formosa do rio preto,3116.95,2022,2022/12/07,formosa do rio preto,2022,2432263.0 -Caatinga,cotegipe,36.57,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,4.78,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,6.75,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,2.54,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,6.32,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,2.21,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,santa rita de cássia,2.58,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,36.01,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,9.9,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,cotegipe,1.39,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,576.18,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,22.87,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,santa rita de cássia,3.01,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,5.35,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,5.41,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,5.3,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,cotegipe,8.75,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,11.87,2022,2022/08/01,cotegipe,2022,297663.0 -Mata Atlântica,guaratinga,2.15,2022,2022/10/31,guaratinga,2022,243882.0 -Caatinga,santa rita de cássia,3.56,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,1.61,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,24.46,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,cotegipe,7.61,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,cotegipe,29.51,2022,2022/09/01,cotegipe,2022,297663.0 -Mata Atlântica,igrapiúna,1.18,2022,2022/09/30,igrapiúna,2022,210971.0 -Caatinga,jaborandi,24.93,2022,2022/09/01,jaborandi,2022,1734316.0 -Mata Atlântica,belmonte,59.37,2022,2022/09/30,belmonte,2022,354868.0 -Caatinga,barra,14.04,2022,2022/09/01,barra,2022,312169.0 -Caatinga,santa rita de cássia,13.47,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,229.96,2022,2022/08/01,barra,2022,312169.0 -Cerrado,jaborandi,2470.16,2022,2022/01/05,jaborandi,2022,1734316.0 -Mata Atlântica,itarantim,18.82,2022,2022/11/30,itarantim,2022,203154.0 -Mata Atlântica,valença,3.83,2022,2022/11/30,valença,2022,378871.0 -Mata Atlântica,itarantim,9.73,2022,2022/11/30,itarantim,2022,203154.0 -Mata Atlântica,camamu,7.17,2022,2022/10/31,camamu,2022,232571.0 -Mata Atlântica,iguaí,0.58,2022,2022/09/30,iguaí,2022,277970.0 -Mata Atlântica,camamu,0.69,2022,2022/09/30,camamu,2022,232571.0 -Mata Atlântica,itagibá,5.32,2022,2022/09/30,itagibá,2022,288483.0 -Cerrado,formosa do rio preto,3454.91,2022,2022/04/04,formosa do rio preto,2022,2432263.0 -Mata Atlântica,ilhéus,0.73,2022,2022/11/30,ilhéus,2022,209209.0 -Mata Atlântica,encruzilhada,1.66,2022,2022/11/30,encruzilhada,2022,414662.0 -Mata Atlântica,itarantim,6.98,2022,2022/11/30,itarantim,2022,203154.0 -Mata Atlântica,dário meira,21.15,2022,2022/10/31,dário meira,2022,217077.0 -Caatinga,jequié,9.74,2022,2022/09/01,jequié,2022,498001.0 -Caatinga,santa rita de cássia,4.23,2022,2022/08/01,santa rita de cássia,2022,569631.0 -Cerrado,jaborandi,1986.71,2022,2022/04/10,jaborandi,2022,1734316.0 -Caatinga,jequié,5.07,2022,2022/09/01,jequié,2022,498001.0 -Mata Atlântica,jequié,2.64,2022,2022/10/31,jequié,2022,498001.0 -Mata Atlântica,itarantim,15.55,2022,2022/10/31,itarantim,2022,203154.0 -Mata Atlântica,itambé,12.52,2022,2022/10/31,itambé,2022,227632.0 -Mata Atlântica,encruzilhada,1.33,2022,2022/10/31,encruzilhada,2022,414662.0 -Mata Atlântica,encruzilhada,57.62,2022,2022/10/31,encruzilhada,2022,414662.0 -Mata Atlântica,itambé,4.86,2022,2022/11/30,itambé,2022,227632.0 -Mata Atlântica,ibicuí,3.41,2022,2022/10/31,ibicuí,2022,245755.0 -Mata Atlântica,iguaí,0.96,2022,2022/10/31,iguaí,2022,277970.0 -Mata Atlântica,encruzilhada,6.25,2022,2022/10/31,encruzilhada,2022,414662.0 -Mata Atlântica,camamu,0.72,2022,2022/09/30,camamu,2022,232571.0 -Mata Atlântica,dário meira,13.74,2022,2022/09/30,dário meira,2022,217077.0 -Mata Atlântica,ilhéus,9.89,2022,2022/09/30,ilhéus,2022,209209.0 -Mata Atlântica,itagibá,5.3,2022,2022/09/30,itagibá,2022,288483.0 -Mata Atlântica,ilhéus,3.58,2022,2022/09/30,ilhéus,2022,209209.0 -Mata Atlântica,iguaí,2.19,2022,2022/09/30,iguaí,2022,277970.0 -Cerrado,jaborandi,2455.87,2022,2022/05/21,jaborandi,2022,1734316.0 -Caatinga,santa rita de cássia,39.41,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,758.46,2022,2022/09/01,barra,2022,312169.0 -Cerrado,são desidério,15.32,2022,2022/01/28,são desidério,2022,2729422.0 -Cerrado,baianópolis,11.16,2022,2022/03/28,baianópolis,2022,413632.0 -Cerrado,formosa do rio preto,1.92,2022,2022/03/28,formosa do rio preto,2022,2432263.0 -Cerrado,cotegipe,6.63,2022,2022/02/28,cotegipe,2022,297663.0 -Cerrado,jaborandi,5.16,2022,2022/02/28,jaborandi,2022,1734316.0 -Cerrado,jaborandi,2.28,2022,2022/02/28,jaborandi,2022,1734316.0 -Cerrado,formosa do rio preto,2.81,2022,2022/07/28,formosa do rio preto,2022,2432263.0 -Cerrado,barreiras,6.07,2022,2022/07/28,barreiras,2022,996163.0 -Cerrado,barreiras,1.72,2022,2022/07/28,barreiras,2022,996163.0 -Cerrado,riachão das neves,1.51,2022,2022/10/28,riachão das neves,2022,670183.0 -Cerrado,cotegipe,2.07,2022,2022/11/28,cotegipe,2022,297663.0 -Cerrado,são desidério,3.27,2022,2022/12/28,são desidério,2022,2729422.0 -Cerrado,santa rita de cássia,4.86,2022,2022/11/28,santa rita de cássia,2022,569631.0 -Cerrado,são desidério,10.39,2022,2022/12/28,são desidério,2022,2729422.0 -Cerrado,cotegipe,2.12,2022,2022/12/28,cotegipe,2022,297663.0 -Cerrado,santa rita de cássia,9.84,2022,2022/12/28,santa rita de cássia,2022,569631.0 -Caatinga,barra,1.37,2022,2022/10/01,barra,2022,312169.0 -Caatinga,santa rita de cássia,33.57,2022,2022/10/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,1.71,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,2.49,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,0.79,2022,2022/10/01,barra,2022,312169.0 -Caatinga,santa rita de cássia,24.23,2022,2022/10/01,santa rita de cássia,2022,569631.0 -Mata Atlântica,jequié,29.08,2022,2022/12/01,jequié,2022,498001.0 -Caatinga,barra,1.64,2022,2022/10/01,barra,2022,312169.0 -Caatinga,santa rita de cássia,0.64,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,1.87,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,9.87,2022,2022/10/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,8.61,2022,2022/10/01,santa rita de cássia,2022,569631.0 -Cerrado,formosa do rio preto,13.71,2022,2022/10/01,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,3.47,2022,2022/11/01,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,36.4,2022,2022/11/01,formosa do rio preto,2022,2432263.0 -Caatinga,santa rita de cássia,22.78,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Caatinga,cotegipe,6.06,2022,2022/11/01,cotegipe,2022,297663.0 -Cerrado,santa rita de cássia,0.73,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Cerrado,formosa do rio preto,3.51,2022,2022/10/01,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,4.3,2022,2022/10/01,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,0.91,2022,2022/10/01,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,12.73,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Cerrado,formosa do rio preto,2.51,2022,2022/10/01,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,5.59,2022,2022/10/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,7.82,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,14.51,2022,2022/10/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,17.56,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,6.17,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,22.32,2022,2022/07/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,4.0,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,7.36,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Cerrado,são desidério,50.71,2022,2022/12/01,são desidério,2022,2729422.0 -Cerrado,formosa do rio preto,29.6,2022,2022/11/01,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,1.53,2022,2022/10/01,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,76.15,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Cerrado,riachão das neves,47.89,2022,2022/12/01,riachão das neves,2022,670183.0 -Cerrado,formosa do rio preto,0.69,2022,2022/12/01,formosa do rio preto,2022,2432263.0 -Caatinga,barra,2.25,2022,2022/10/01,barra,2022,312169.0 -Caatinga,santa rita de cássia,13.43,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Cerrado,cotegipe,2.26,2022,2022/11/01,cotegipe,2022,297663.0 -Cerrado,santa rita de cássia,1.72,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Cerrado,formosa do rio preto,0.6,2022,2022/11/01,formosa do rio preto,2022,2432263.0 -Cerrado,jaborandi,3.62,2022,2022/12/01,jaborandi,2022,1734316.0 -Cerrado,cocos,2.9,2022,2022/12/01,cocos,2022,367625.0 -Cerrado,jaborandi,3.49,2022,2022/12/01,jaborandi,2022,1734316.0 -Cerrado,jaborandi,19.32,2022,2022/12/01,jaborandi,2022,1734316.0 -Cerrado,baianópolis,3.3,2022,2022/12/01,baianópolis,2022,413632.0 -Cerrado,correntina,21.93,2022,2022/12/01,correntina,2022,1473135.0 -Cerrado,barreiras,11.55,2022,2022/12/01,barreiras,2022,996163.0 -Cerrado,riachão das neves,18.22,2022,2022/12/01,riachão das neves,2022,670183.0 -Cerrado,santa rita de cássia,4.89,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,6.51,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,1.26,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,10.21,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Cerrado,cocos,32.61,2022,2022/12/01,cocos,2022,367625.0 -Cerrado,riachão das neves,5.57,2022,2022/12/01,riachão das neves,2022,670183.0 -Cerrado,riachão das neves,51.68,2022,2022/12/01,riachão das neves,2022,670183.0 -Cerrado,riachão das neves,92.6,2022,2022/12/01,riachão das neves,2022,670183.0 -Cerrado,riachão das neves,6.16,2022,2022/10/01,riachão das neves,2022,670183.0 -Mata Atlântica,encruzilhada,184.17,2022,2022/12/01,encruzilhada,2022,414662.0 -Cerrado,cocos,4.49,2022,2022/12/01,cocos,2022,367625.0 -Cerrado,cocos,5.69,2022,2022/12/01,cocos,2022,367625.0 -Cerrado,santa rita de cássia,3.99,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Cerrado,riachão das neves,116.34,2022,2022/12/01,riachão das neves,2022,670183.0 -Cerrado,cocos,11.57,2022,2022/12/01,cocos,2022,367625.0 -Cerrado,baianópolis,3.32,2022,2022/12/01,baianópolis,2022,413632.0 -Cerrado,riachão das neves,727.24,2022,2022/12/01,riachão das neves,2022,670183.0 -Cerrado,santa rita de cássia,5.89,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,3.31,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,5.32,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Cerrado,formosa do rio preto,12.57,2022,2022/11/01,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,7.16,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,0.47,2022,2022/12/01,barra,2022,312169.0 -Cerrado,riachão das neves,116.2,2022,2022/10/01,riachão das neves,2022,670183.0 -Cerrado,santa rita de cássia,2.98,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Caatinga,cocos,43.15,2022,2022/12/01,cocos,2022,367625.0 -Cerrado,formosa do rio preto,28.64,2022,2022/12/01,formosa do rio preto,2022,2432263.0 -Cerrado,correntina,1501.45,2022,2022/12/01,correntina,2022,1473135.0 -Cerrado,baianópolis,60.14,2022,2022/12/01,baianópolis,2022,413632.0 -Cerrado,formosa do rio preto,25.92,2022,2022/11/01,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,4.87,2022,2022/10/01,formosa do rio preto,2022,2432263.0 -Caatinga,cocos,8.73,2022,2022/12/01,cocos,2022,367625.0 -Cerrado,santa rita de cássia,17.23,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,10.46,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Cerrado,formosa do rio preto,12.05,2022,2022/11/01,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,3.57,2022,2022/11/01,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,5.25,2022,2022/10/01,formosa do rio preto,2022,2432263.0 -Caatinga,barra,1.76,2022,2022/10/01,barra,2022,312169.0 -Caatinga,cocos,14.31,2022,2022/12/01,cocos,2022,367625.0 -Cerrado,formosa do rio preto,1.38,2022,2022/11/01,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,12.98,2022,2022/11/01,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,15.21,2022,2022/11/01,formosa do rio preto,2022,2432263.0 -Caatinga,cotegipe,36.85,2022,2022/12/01,cotegipe,2022,297663.0 -Caatinga,barra,1.8,2022,2022/12/01,barra,2022,312169.0 -Cerrado,santa rita de cássia,4.59,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,266.44,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Cerrado,barreiras,17.58,2022,2022/12/01,barreiras,2022,996163.0 -Cerrado,santa rita de cássia,37.5,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,1.68,2022,2022/12/01,barra,2022,312169.0 -Cerrado,santa rita de cássia,2406.65,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Cerrado,riachão das neves,2.23,2022,2022/11/01,riachão das neves,2022,670183.0 -Caatinga,barra,16.0,2022,2022/12/01,barra,2022,312169.0 -Caatinga,barra,2.81,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,1.23,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,2.02,2022,2022/11/01,barra,2022,312169.0 -Caatinga,santa rita de cássia,28.69,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,0.56,2022,2022/12/01,barra,2022,312169.0 -Caatinga,barra,1.27,2022,2022/12/01,barra,2022,312169.0 -Caatinga,jaborandi,1.69,2022,2022/12/01,jaborandi,2022,1734316.0 -Caatinga,cocos,7.19,2022,2022/12/01,cocos,2022,367625.0 -Caatinga,barra,0.92,2022,2022/12/01,barra,2022,312169.0 -Caatinga,santa rita de cássia,10.95,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,2.48,2022,2022/12/01,barra,2022,312169.0 -Caatinga,barra,1.85,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,2.86,2022,2022/10/01,barra,2022,312169.0 -Caatinga,jaborandi,14.37,2022,2022/10/01,jaborandi,2022,1734316.0 -Caatinga,barra,1.11,2022,2022/11/01,barra,2022,312169.0 -Caatinga,santa rita de cássia,6.11,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Caatinga,cocos,13.66,2022,2022/12/01,cocos,2022,367625.0 -Caatinga,barra,1.08,2022,2022/12/01,barra,2022,312169.0 -Caatinga,santa rita de cássia,6.99,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Caatinga,cocos,15.59,2022,2022/12/01,cocos,2022,367625.0 -Caatinga,cocos,21.64,2022,2022/12/01,cocos,2022,367625.0 -Cerrado,santa rita de cássia,8.44,2022,2022/10/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,0.98,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,4.65,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,281.35,2022,2022/12/01,barra,2022,312169.0 -Caatinga,barra,116.26,2022,2022/09/01,barra,2022,312169.0 -Caatinga,barra,335.27,2022,2022/09/01,barra,2022,312169.0 -Caatinga,santa rita de cássia,3.55,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,13.61,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,1.18,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,0.34,2022,2022/11/01,barra,2022,312169.0 -Caatinga,jequié,18.06,2022,2022/12/01,jequié,2022,498001.0 -Caatinga,barra,0.74,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,0.87,2022,2022/12/01,barra,2022,312169.0 -Caatinga,barra,2.58,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,1.75,2022,2022/11/01,barra,2022,312169.0 -Caatinga,cocos,7.07,2022,2022/12/01,cocos,2022,367625.0 -Caatinga,santa rita de cássia,19.44,2022,2022/09/01,santa rita de cássia,2022,569631.0 -Caatinga,cocos,9.71,2022,2022/12/01,cocos,2022,367625.0 -Caatinga,barra,14.76,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,2.1,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,4.79,2022,2022/12/01,barra,2022,312169.0 -Caatinga,barra,4.82,2022,2022/12/01,barra,2022,312169.0 -Caatinga,barra,1.48,2022,2022/11/01,barra,2022,312169.0 -Caatinga,jaborandi,6.15,2022,2022/10/01,jaborandi,2022,1734316.0 -Caatinga,santa rita de cássia,4.37,2022,2022/10/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,8.55,2022,2022/10/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,2.79,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,2.22,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,1.76,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,3.31,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,6.72,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,6.68,2022,2022/12/01,barra,2022,312169.0 -Caatinga,cotegipe,1.29,2022,2022/11/01,cotegipe,2022,297663.0 -Caatinga,santa rita de cássia,77.08,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,9.58,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,1.33,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,5.6,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,0.93,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,2.21,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,1.62,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,5.95,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,4.39,2022,2022/10/01,barra,2022,312169.0 -Caatinga,santa rita de cássia,3.62,2022,2022/12/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,1.39,2022,2022/11/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,127.52,2022,2022/10/01,barra,2022,312169.0 -Caatinga,jequié,4.71,2022,2022/09/01,jequié,2022,498001.0 -Caatinga,barra,2.79,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,0.97,2022,2022/11/01,barra,2022,312169.0 -Caatinga,cotegipe,37.03,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,barra,1.21,2022,2022/10/01,barra,2022,312169.0 -Caatinga,cotegipe,43.54,2022,2022/09/01,cotegipe,2022,297663.0 -Caatinga,barra,5.83,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,1.15,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,0.85,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,28.3,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,7.4,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,4.98,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,5.16,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,7.26,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,1.19,2022,2022/11/01,barra,2022,312169.0 -Caatinga,correntina,2.3,2022,2022/10/01,correntina,2022,1473135.0 -Caatinga,barra,37.85,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,2.93,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,2.26,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,0.37,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,2.83,2022,2022/10/01,barra,2022,312169.0 -Caatinga,santa rita de cássia,1.9,2022,2022/10/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,12.56,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,29.07,2022,2022/11/01,barra,2022,312169.0 -Caatinga,jaborandi,6.98,2022,2022/10/01,jaborandi,2022,1734316.0 -Caatinga,barra,2.2,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,14.33,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,1.43,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,2.39,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,0.93,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,0.94,2022,2022/10/01,barra,2022,312169.0 -Caatinga,jaborandi,6.48,2022,2022/10/01,jaborandi,2022,1734316.0 -Caatinga,barra,13.78,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,8.86,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,286.27,2022,2022/10/01,barra,2022,312169.0 -Caatinga,barra,1096.84,2022,2022/11/01,barra,2022,312169.0 -Caatinga,barra,3.12,2022,2022/11/01,barra,2022,312169.0 -Cerrado,formosa do rio preto,110.87,2019,2019/09/17,formosa do rio preto,2019,4220327.0016454905 -Cerrado,são desidério,37.22,2019,2019/09/20,são desidério,2019,2024107.6610826247 -Mata Atlântica,camamu,2.04,2019,2019/11/08,camamu,2019,221471.44368362427 -Cerrado,barreiras,47.78,2019,2019/12/16,barreiras,2019,1568927.0175619423 -Cerrado,formosa do rio preto,490.07,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 -Cerrado,formosa do rio preto,121.11,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 -Cerrado,formosa do rio preto,12.95,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 -Cerrado,baianópolis,7.84,2019,2019/03/16,baianópolis,2019,607436.7982445955 -Cerrado,são desidério,6.72,2019,2019/04/17,são desidério,2019,2024107.6610826247 -Cerrado,riachão das neves,2.01,2019,2019/01/23,riachão das neves,2019,580173.0040331781 -Caatinga,santa rita de cássia,14.92,2019,2019/03/02,santa rita de cássia,2019,694797.0868461728 -Cerrado,formosa do rio preto,122.45,2019,2019/07/18,formosa do rio preto,2019,4220327.0016454905 -Cerrado,santa rita de cássia,4.87,2019,2019/05/22,santa rita de cássia,2019,694797.0868461728 -Cerrado,são desidério,9.72,2019,2019/03/31,são desidério,2019,2024107.6610826247 -Cerrado,baianópolis,2.63,2019,2019/06/08,baianópolis,2019,607436.7982445955 -Caatinga,cotegipe,77.99,2019,2019/06/02,cotegipe,2019,331163.8086628318 -Cerrado,formosa do rio preto,69.86,2019,2019/07/07,formosa do rio preto,2019,4220327.0016454905 -Cerrado,santa rita de cássia,248.56,2019,2019/05/07,santa rita de cássia,2019,694797.0868461728 -Mata Atlântica,camamu,26.48,2019,2019/03/29,camamu,2019,221471.44368362427 -Cerrado,formosa do rio preto,427.22,2020,2020/02/26,formosa do rio preto,2020,3073766.4334418774 -Caatinga,correntina,10.26,2020,2020/05/02,correntina,2020,1060525.6563282013 -Cerrado,jaborandi,9.14,2020,2020/04/30,jaborandi,2020,1744004.154955864 -Caatinga,cotegipe,8.63,2020,2020/04/24,cotegipe,2020,559960.0834841728 -Cerrado,luís eduardo magalhães,482.95,2020,2020/02/11,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,são desidério,21.29,2020,2020/03/29,são desidério,2020,3091203.197527945 -Mata Atlântica,ilhéus,1.69,2020,2020/04/16,ilhéus,2020,191205.86366391185 -Mata Atlântica,camamu,2.94,2020,2020/02/20,camamu,2020,434741.3974044919 -Mata Atlântica,guaratinga,8.36,2020,2020/01/11,guaratinga,2020,251656.63093233109 -Mata Atlântica,encruzilhada,14.29,2020,2020/05/01,encruzilhada,2020,451620.4507952333 -Cerrado,são desidério,18.33,2020,2020/06/01,são desidério,2020,3091203.197527945 -Cerrado,jaborandi,8.69,2020,2020/06/01,jaborandi,2020,1744004.154955864 -Mata Atlântica,belmonte,3.86,2020,2020/06/30,belmonte,2020,350558.8480718136 -Mata Atlântica,itagibá,3.11,2020,2020/06/30,itagibá,2020,72102.08046793938 -Cerrado,baianópolis,18.54,2020,2020/06/09,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,281.3,2020,2020/07/14,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,39.63,2020,2020/07/14,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,18.75,2020,2020/08/01,correntina,2020,1060525.6563282013 -Cerrado,correntina,5.27,2020,2020/08/01,correntina,2020,1060525.6563282013 -Cerrado,correntina,2.62,2020,2020/08/01,correntina,2020,1060525.6563282013 -Cerrado,barreiras,68.29,2020,2020/09/01,barreiras,2020,1179766.0970728395 -Cerrado,luís eduardo magalhães,66.99,2020,2020/09/01,luís eduardo magalhães,2020,1523413.1056941748 -Caatinga,cotegipe,9.93,2020,2020/09/01,cotegipe,2020,559960.0834841728 -Cerrado,santa rita de cássia,7.8,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,4.59,2020,2020/09/30,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,9.8,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,96.69,2020,2020/10/08,são desidério,2020,3091203.197527945 -Cerrado,santa rita de cássia,36.75,2020,2020/10/26,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,itagibá,50.07,2020,2020/10/25,itagibá,2020,72102.08046793938 -Caatinga,santa rita de cássia,13.97,2020,2020/11/14,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,3.05,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,1.07,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 -Cerrado,baianópolis,11.61,2021,2021/02/01,baianópolis,2021,1700892.2622466087 -Mata Atlântica,guaratinga,3.77,2021,2021/03/10,guaratinga,2021,171742.56461274624 -Mata Atlântica,encruzilhada,4.99,2021,2021/03/25,encruzilhada,2021,587315.3614428043 -Cerrado,são desidério,617.48,2021,2021/05/27,são desidério,2021,3159579.701361537 -Cerrado,formosa do rio preto,279.04,2021,2021/05/19,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,333.42,2021,2021/05/21,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,ilhéus,8.27,2021,2021/05/21,ilhéus,2021,131715.1359180212 -Cerrado,santa rita de cássia,13.05,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,barreiras,313.34,2021,2021/06/14,barreiras,2021,958306.347179532 -Caatinga,santa rita de cássia,3.44,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,jaborandi,2.59,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Caatinga,barra,1.29,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,4.93,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,7.79,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,1.87,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,3.62,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,jaborandi,4.15,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,baianópolis,8.54,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,correntina,0.79,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,correntina,2.13,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,15.11,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Caatinga,barra,1.39,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,1.83,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,3.75,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,3.05,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,7.07,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,4.16,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,3.22,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,riachão das neves,8.01,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,barreiras,17.8,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,4.58,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Caatinga,santa rita de cássia,2.84,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,24.59,2021,2021/07/16,barra,2021,79058.81857037544 -Cerrado,santa rita de cássia,5.72,2021,2021/07/18,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,itapetinga,8.57,2021,2021/07/16,itapetinga,2021,20727.768303871155 -Caatinga,cotegipe,2.69,2021,2021/06/01,cotegipe,2021,292547.2605621815 -Caatinga,cocos,14.77,2021,2021/08/16,cocos,2021,1229644.9681953788 -Mata Atlântica,valença,9.56,2021,2021/08/17,valença,2021,195332.51262283325 -Cerrado,santa rita de cássia,13.22,2021,2021/09/26,santa rita de cássia,2021,998700.5789114236 -Cerrado,baianópolis,1348.52,2021,2021/08/01,baianópolis,2021,1700892.2622466087 -Mata Atlântica,valença,7.77,2021,2021/11/21,valença,2021,195332.51262283325 -Caatinga,santa rita de cássia,4.96,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,6.73,2021,2021/09/01,barra,2021,79058.81857037544 -Cerrado,santa rita de cássia,26.23,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,20.12,2021,2021/12/01,cotegipe,2021,292547.2605621815 -Caatinga,cotegipe,10.22,2021,2021/03/05,cotegipe,2021,292547.2605621815 -Cerrado,santa rita de cássia,24.57,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 -Cerrado,luís eduardo magalhães,31.47,2021,2021/07/01,luís eduardo magalhães,2021,654262.0002045631 -Caatinga,santa rita de cássia,5.37,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,12.49,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,itarantim,12.52,2022,2022/02/28,itarantim,2022,203154.0 -Mata Atlântica,itambé,11.13,2022,2022/03/31,itambé,2022,227632.0 -Cerrado,são desidério,44.19,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,barreiras,7.65,2022,2022/03/30,barreiras,2022,996163.0 -Cerrado,formosa do rio preto,168.06,2022,2022/05/06,formosa do rio preto,2022,2432263.0 -Cerrado,jaborandi,411.96,2022,2022/04/25,jaborandi,2022,1734316.0 -Cerrado,santa rita de cássia,0.71,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Mata Atlântica,valença,0.84,2022,2022/06/30,valença,2022,378871.0 -Mata Atlântica,camamu,0.68,2022,2022/06/30,camamu,2022,232571.0 -Mata Atlântica,nilo peçanha,0.61,2022,2022/06/30,nilo peçanha,2022,238334.0 -Cerrado,são desidério,39.98,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,cotegipe,2.84,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,são desidério,4.47,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,cocos,173.34,2022,2022/08/01,cocos,2022,367625.0 -Cerrado,jaborandi,540.83,2022,2022/08/02,jaborandi,2022,1734316.0 -Mata Atlântica,valença,1.71,2022,2022/07/31,valença,2022,378871.0 -Mata Atlântica,itarantim,2.8,2022,2022/07/31,itarantim,2022,203154.0 -Cerrado,santa rita de cássia,10.26,2022,2022/09/16,santa rita de cássia,2022,569631.0 -Cerrado,barreiras,93.52,2022,2022/09/16,barreiras,2022,996163.0 -Cerrado,barreiras,28.21,2022,2022/09/28,barreiras,2022,996163.0 -Mata Atlântica,belmonte,7.06,2019,2019/06/18,belmonte,2019,390403.1881421805 -Cerrado,barreiras,371.35,2019,2019/08/16,barreiras,2019,1568927.0175619423 -Cerrado,luís eduardo magalhães,0.52,2019,2019/11/17,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,correntina,11.83,2019,2019/11/20,correntina,2019,1545572.943816781 -Caatinga,santa rita de cássia,15.86,2019,2019/11/11,santa rita de cássia,2019,694797.0868461728 -Cerrado,barreiras,58.99,2019,2019/12/16,barreiras,2019,1568927.0175619423 -Mata Atlântica,belmonte,5.51,2019,2019/10/16,belmonte,2019,390403.1881421805 -Cerrado,formosa do rio preto,23.09,2019,2019/01/29,formosa do rio preto,2019,4220327.0016454905 -Cerrado,barreiras,276.35,2019,2019/05/10,barreiras,2019,1568927.0175619423 -Cerrado,são desidério,2.68,2019,2019/01/29,são desidério,2019,2024107.6610826247 -Cerrado,são desidério,29.85,2019,2019/07/18,são desidério,2019,2024107.6610826247 -Cerrado,são desidério,7.93,2019,2019/01/06,são desidério,2019,2024107.6610826247 -Cerrado,jaborandi,1065.98,2019,2019/04/29,jaborandi,2019,1706967.7386553884 -Cerrado,formosa do rio preto,100.38,2019,2019/02/15,formosa do rio preto,2019,4220327.0016454905 -Cerrado,formosa do rio preto,1552.16,2019,2019/05/07,formosa do rio preto,2019,4220327.0016454905 -Cerrado,riachão das neves,168.99,2019,2019/04/17,riachão das neves,2019,580173.0040331781 -Cerrado,formosa do rio preto,2032.02,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 -Cerrado,jaborandi,198.38,2019,2019/07/30,jaborandi,2019,1706967.7386553884 -Mata Atlântica,valença,4.99,2019,2019/04/22,valença,2019,247673.75340151787 -Mata Atlântica,guaratinga,3.04,2019,2019/04/06,guaratinga,2019,211708.01093423367 -Cerrado,cocos,104.13,2020,2020/04/27,cocos,2020,1218387.32458961 -Mata Atlântica,ilhéus,6.14,2020,2020/04/16,ilhéus,2020,191205.86366391185 -Caatinga,barreiras,33.91,2020,2020/05/01,barreiras,2020,1179766.0970728395 -Cerrado,são desidério,51.76,2020,2020/06/01,são desidério,2020,3091203.197527945 -Cerrado,barreiras,4.55,2020,2020/02/01,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,8.18,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,3.51,2020,2020/02/01,correntina,2020,1060525.6563282013 -Mata Atlântica,jequié,6.06,2020,2020/06/30,jequié,2020,186265.72844171524 -Mata Atlântica,ilhéus,4.23,2020,2020/06/20,ilhéus,2020,191205.86366391185 -Cerrado,jaborandi,1135.88,2020,2020/05/28,jaborandi,2020,1744004.154955864 -Caatinga,cocos,83.59,2020,2020/05/31,cocos,2020,1218387.32458961 -Cerrado,jaborandi,5.66,2020,2020/07/01,jaborandi,2020,1744004.154955864 -Cerrado,luís eduardo magalhães,26.86,2020,2020/08/11,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,santa rita de cássia,18.28,2020,2020/08/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,ilhéus,0.54,2020,2020/09/08,ilhéus,2020,191205.86366391185 -Caatinga,santa rita de cássia,11.71,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,3.61,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,4.16,2020,2020/11/01,correntina,2020,1060525.6563282013 -Caatinga,cotegipe,10.29,2020,2020/12/01,cotegipe,2020,559960.0834841728 -Cerrado,correntina,15.32,2020,2020/12/14,correntina,2020,1060525.6563282013 -Mata Atlântica,valença,1.28,2020,2020/12/12,valença,2020,427637.707020998 -Mata Atlântica,guaratinga,2.91,2020,2020/12/04,guaratinga,2020,251656.63093233109 -Cerrado,riachão das neves,13.07,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 -Cerrado,formosa do rio preto,37.91,2021,2021/01/29,formosa do rio preto,2021,2299737.8741800785 -Cerrado,barreiras,170.26,2021,2021/02/01,barreiras,2021,958306.347179532 -Caatinga,cotegipe,13.9,2021,2021/02/11,cotegipe,2021,292547.2605621815 -Cerrado,correntina,272.74,2021,2021/03/13,correntina,2021,1585476.3940644264 -Cerrado,são desidério,89.68,2021,2021/03/25,são desidério,2021,3159579.701361537 -Mata Atlântica,itagibá,3.01,2021,2021/04/19,itagibá,2021,111453.28504517674 -Cerrado,baianópolis,381.66,2021,2021/04/29,baianópolis,2021,1700892.2622466087 -Cerrado,formosa do rio preto,4.8,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,1.64,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 -Cerrado,riachão das neves,22.11,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Caatinga,cotegipe,2.83,2021,2021/01/01,cotegipe,2021,292547.2605621815 -Cerrado,barreiras,17.86,2021,2021/04/01,barreiras,2021,958306.347179532 -Cerrado,formosa do rio preto,77.01,2021,2021/06/14,formosa do rio preto,2021,2299737.8741800785 -Caatinga,cotegipe,20.95,2021,2021/05/30,cotegipe,2021,292547.2605621815 -Caatinga,barra,2.87,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.33,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,são desidério,1.05,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,12.06,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,jaborandi,7.44,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Caatinga,barra,1.78,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,riachão das neves,11.33,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,4.32,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,1.9,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,4.76,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,5.53,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,26.61,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,7.3,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,2.5,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,31.46,2021,2021/07/27,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,guaratinga,6.77,2021,2021/07/16,guaratinga,2021,171742.56461274624 -Cerrado,correntina,29.96,2021,2021/08/02,correntina,2021,1585476.3940644264 -Mata Atlântica,itagibá,11.86,2021,2021/09/18,itagibá,2021,111453.28504517674 -Cerrado,santa rita de cássia,8.55,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,itapetinga,4.16,2021,2021/11/01,itapetinga,2021,20727.768303871155 -Mata Atlântica,camamu,3.95,2021,2021/11/21,camamu,2021,163548.15982496738 -Caatinga,santa rita de cássia,10.03,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,0.92,2021,2021/09/01,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,1.08,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,6.2,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,cocos,2.22,2021,2021/10/01,cocos,2021,1229644.9681953788 -Cerrado,barreiras,5.42,2021,2021/11/01,barreiras,2021,958306.347179532 -Cerrado,santa rita de cássia,7.31,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,29.64,2021,2021/12/01,barra,2021,79058.81857037544 -Cerrado,santa rita de cássia,771.0,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,baianópolis,1015.77,2021,2021/12/01,baianópolis,2021,1700892.2622466087 -Cerrado,jaborandi,23.49,2021,2021/03/13,jaborandi,2021,2051920.940728784 -Cerrado,formosa do rio preto,25.99,2021,2021/04/05,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,valença,4.26,2021,2021/02/06,valença,2021,195332.51262283325 -Cerrado,formosa do rio preto,9.15,2022,2022/01/22,formosa do rio preto,2022,2432263.0 -Cerrado,baianópolis,173.73,2022,2022/01/31,baianópolis,2022,413632.0 -Cerrado,baianópolis,20.38,2022,2022/02/26,baianópolis,2022,413632.0 -Cerrado,correntina,12.42,2022,2022/02/23,correntina,2022,1473135.0 -Cerrado,santa rita de cássia,308.83,2022,2022/03/09,santa rita de cássia,2022,569631.0 -Cerrado,luís eduardo magalhães,66.79,2022,2022/03/01,luís eduardo magalhães,2022,343098.0 -Cerrado,jaborandi,260.55,2022,2022/05/29,jaborandi,2022,1734316.0 -Cerrado,barreiras,163.28,2022,2022/05/09,barreiras,2022,996163.0 -Cerrado,cocos,56.31,2022,2022/05/15,cocos,2022,367625.0 -Mata Atlântica,guaratinga,1.2,2022,2022/05/31,guaratinga,2022,243882.0 -Cerrado,são desidério,2661.74,2022,2022/04/25,são desidério,2022,2729422.0 -Cerrado,santa rita de cássia,2.36,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,9.46,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Mata Atlântica,itambé,1.53,2022,2022/06/30,itambé,2022,227632.0 -Cerrado,formosa do rio preto,15.91,2022,2022/03/01,formosa do rio preto,2022,2432263.0 -Cerrado,correntina,10.38,2022,2022/03/01,correntina,2022,1473135.0 -Cerrado,são desidério,4.5,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,cotegipe,3.62,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,correntina,10.93,2022,2022/03/01,correntina,2022,1473135.0 -Cerrado,cocos,1129.62,2022,2022/07/17,cocos,2022,367625.0 -Cerrado,santa rita de cássia,69.4,2022,2022/08/02,santa rita de cássia,2022,569631.0 -Cerrado,formosa do rio preto,20.97,2022,2022/08/24,formosa do rio preto,2022,2432263.0 -Mata Atlântica,valença,0.44,2022,2022/07/31,valença,2022,378871.0 -Mata Atlântica,ilhéus,1.2,2022,2022/07/31,ilhéus,2022,209209.0 -Mata Atlântica,maraú,1.25,2022,2022/07/31,maraú,2022,275953.0 -Cerrado,baianópolis,8.96,2019,2019/01/29,baianópolis,2019,607436.7982445955 -Cerrado,cocos,16.29,2019,2019/09/11,cocos,2019,959394.147064954 -Cerrado,santa rita de cássia,108.5,2019,2019/11/14,santa rita de cássia,2019,694797.0868461728 -Caatinga,santa rita de cássia,11.39,2019,2019/12/16,santa rita de cássia,2019,694797.0868461728 -Cerrado,baianópolis,15.59,2019,2019/01/06,baianópolis,2019,607436.7982445955 -Cerrado,jaborandi,675.54,2019,2019/06/20,jaborandi,2019,1706967.7386553884 -Cerrado,formosa do rio preto,70.4,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 -Cerrado,luís eduardo magalhães,11.52,2019,2019/05/10,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,formosa do rio preto,298.84,2019,2019/02/13,formosa do rio preto,2019,4220327.0016454905 -Cerrado,santa rita de cássia,10.25,2019,2019/02/21,santa rita de cássia,2019,694797.0868461728 -Caatinga,santa rita de cássia,37.54,2019,2019/02/21,santa rita de cássia,2019,694797.0868461728 -Cerrado,jaborandi,11.0,2019,2019/03/10,jaborandi,2019,1706967.7386553884 -Cerrado,formosa do rio preto,1015.45,2019,2019/06/17,formosa do rio preto,2019,4220327.0016454905 -Mata Atlântica,ilhéus,2.05,2019,2019/04/15,ilhéus,2019,158872.06799983978 -Cerrado,correntina,25.42,2020,2020/05/02,correntina,2020,1060525.6563282013 -Cerrado,jaborandi,320.55,2020,2020/01/31,jaborandi,2020,1744004.154955864 -Cerrado,são desidério,11.1,2020,2020/04/21,são desidério,2020,3091203.197527945 -Cerrado,jaborandi,2294.79,2020,2020/03/29,jaborandi,2020,1744004.154955864 -Cerrado,luís eduardo magalhães,49.8,2020,2020/02/11,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,santa rita de cássia,12.16,2020,2020/01/11,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,249.56,2020,2020/01/11,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,15.81,2020,2020/02/17,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,304.05,2020,2020/04/03,correntina,2020,1060525.6563282013 -Mata Atlântica,camamu,1.04,2020,2020/05/02,camamu,2020,434741.3974044919 -Mata Atlântica,ibirapitanga,2.11,2020,2020/01/11,ibirapitanga,2020,296362.889919281 -Caatinga,santa rita de cássia,2.11,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,62.55,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,itagibá,7.18,2020,2020/06/30,itagibá,2020,72102.08046793938 -Mata Atlântica,belmonte,1.74,2020,2020/07/14,belmonte,2020,350558.8480718136 -Caatinga,santa rita de cássia,9.65,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,10.71,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,13.09,2020,2020/07/01,baianópolis,2020,790814.9751247168 -Cerrado,barreiras,10.19,2020,2020/07/01,barreiras,2020,1179766.0970728395 -Cerrado,são desidério,20.13,2020,2020/07/01,são desidério,2020,3091203.197527945 -Mata Atlântica,belmonte,11.58,2020,2020/07/30,belmonte,2020,350558.8480718136 -Cerrado,baianópolis,129.7,2020,2020/08/01,baianópolis,2020,790814.9751247168 -Cerrado,correntina,46.14,2020,2020/08/20,correntina,2020,1060525.6563282013 -Caatinga,jaborandi,17.72,2020,2020/08/01,jaborandi,2020,1744004.154955864 -Cerrado,riachão das neves,85.9,2020,2020/09/24,riachão das neves,2020,1085054.2665590644 -Caatinga,correntina,0.75,2020,2020/09/01,correntina,2020,1060525.6563282013 -Cerrado,santa rita de cássia,18.32,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,36.64,2020,2020/09/21,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,2.98,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,encruzilhada,26.29,2020,2020/09/30,encruzilhada,2020,451620.4507952333 -Cerrado,são desidério,18.14,2020,2020/10/14,são desidério,2020,3091203.197527945 -Caatinga,santa rita de cássia,30.35,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,52.72,2020,2020/12/14,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,6.22,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,30.46,2020,2020/12/17,cotegipe,2020,559960.0834841728 -Caatinga,barra,2.67,2020,2020/12/01,barra,2020,139778.05993533134 -Caatinga,cotegipe,17.05,2020,2020/12/01,cotegipe,2020,559960.0834841728 -Caatinga,santa rita de cássia,28.8,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,ibirapitanga,1.08,2021,2021/02/22,ibirapitanga,2021,72436.60405349731 -Caatinga,santa rita de cássia,15.79,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,santa rita de cássia,26.45,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 -Cerrado,luís eduardo magalhães,28.38,2021,2021/03/28,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,baianópolis,333.24,2021,2021/05/04,baianópolis,2021,1700892.2622466087 -Caatinga,cotegipe,5.16,2021,2021/01/01,cotegipe,2021,292547.2605621815 -Cerrado,são desidério,1326.77,2021,2021/01/01,são desidério,2021,3159579.701361537 -Caatinga,santa rita de cássia,5.85,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,encruzilhada,8.67,2021,2021/04/01,encruzilhada,2021,587315.3614428043 -Cerrado,baianópolis,26.5,2021,2021/06/14,baianópolis,2021,1700892.2622466087 -Cerrado,barreiras,5.51,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Caatinga,barra,3.74,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,correntina,2.82,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,correntina,4.37,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,santa rita de cássia,0.79,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,6.17,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,luís eduardo magalhães,4.93,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,barreiras,4.37,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,3.31,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,3.33,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,2.31,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,2.86,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Caatinga,santa rita de cássia,1.71,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cocos,48.71,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,formosa do rio preto,18.97,2021,2021/05/01,formosa do rio preto,2021,2299737.8741800785 -Cerrado,são desidério,5.14,2021,2021/05/01,são desidério,2021,3159579.701361537 -Cerrado,formosa do rio preto,355.01,2021,2021/07/01,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,encruzilhada,3.54,2021,2021/10/27,encruzilhada,2021,587315.3614428043 -Mata Atlântica,encruzilhada,0.88,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Cerrado,baianópolis,16.38,2021,2021/11/17,baianópolis,2021,1700892.2622466087 -Caatinga,barra,0.47,2021,2021/09/01,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,4.11,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,3.3,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Cerrado,santa rita de cássia,8.52,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,0.93,2021,2021/11/01,barra,2021,79058.81857037544 -Cerrado,santa rita de cássia,197.14,2021,2021/03/05,santa rita de cássia,2021,998700.5789114236 -Cerrado,formosa do rio preto,256.47,2021,2021/05/19,formosa do rio preto,2021,2299737.8741800785 -Cerrado,são desidério,356.04,2021,2021/05/07,são desidério,2021,3159579.701361537 -Cerrado,correntina,1213.07,2021,2021/06/14,correntina,2021,1585476.3940644264 -Cerrado,jaborandi,34.25,2021,2021/06/25,jaborandi,2021,2051920.940728784 -Caatinga,barra,158.14,2021,2021/07/27,barra,2021,79058.81857037544 -Mata Atlântica,ilhéus,10.1,2021,2021/11/21,ilhéus,2021,131715.1359180212 -Mata Atlântica,belmonte,16.81,2021,2021/12/16,belmonte,2021,331485.0170983076 -Caatinga,santa rita de cássia,5.42,2021,2021/03/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,são desidério,2.64,2021,2021/04/01,são desidério,2021,3159579.701361537 -Caatinga,cotegipe,19.46,2021,2021/10/01,cotegipe,2021,292547.2605621815 -Mata Atlântica,encruzilhada,28.56,2022,2022/02/28,encruzilhada,2022,414662.0 -Mata Atlântica,itambé,1.44,2022,2022/03/31,itambé,2022,227632.0 -Cerrado,correntina,349.34,2022,2022/01/25,correntina,2022,1473135.0 -Cerrado,formosa do rio preto,4.21,2022,2022/01/25,formosa do rio preto,2022,2432263.0 -Cerrado,são desidério,327.5,2022,2022/02/26,são desidério,2022,2729422.0 -Mata Atlântica,encruzilhada,8.84,2022,2022/06/30,encruzilhada,2022,414662.0 -Cerrado,são desidério,138.17,2022,2022/04/25,são desidério,2022,2729422.0 -Cerrado,santa rita de cássia,5.56,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,0.84,2022,2022/03/01,barra,2022,312169.0 -Cerrado,são desidério,2.32,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,riachão das neves,49.63,2022,2022/08/09,riachão das neves,2022,670183.0 -Cerrado,santa rita de cássia,19.9,2022,2022/08/12,santa rita de cássia,2022,569631.0 -Mata Atlântica,camamu,1.19,2022,2022/07/31,camamu,2022,232571.0 -Cerrado,santa rita de cássia,166.28,2022,2022/09/21,santa rita de cássia,2022,569631.0 -Cerrado,formosa do rio preto,127.59,2022,2022/09/16,formosa do rio preto,2022,2432263.0 -Mata Atlântica,camamu,2.95,2019,2019/06/09,camamu,2019,221471.44368362427 -Cerrado,são desidério,79.61,2019,2019/11/20,são desidério,2019,2024107.6610826247 -Cerrado,luís eduardo magalhães,42.54,2019,2019/10/07,luís eduardo magalhães,2019,800435.7103590965 -Caatinga,cocos,9.08,2019,2019/10/16,cocos,2019,959394.147064954 -Caatinga,jaborandi,19.77,2019,2019/10/28,jaborandi,2019,1706967.7386553884 -Cerrado,baianópolis,26.43,2019,2019/11/05,baianópolis,2019,607436.7982445955 -Mata Atlântica,itagibá,21.1,2019,2019/11/08,itagibá,2019,121675.55451917648 -Cerrado,formosa do rio preto,15.44,2019,2019/11/28,formosa do rio preto,2019,4220327.0016454905 -Cerrado,riachão das neves,40.71,2019,2019/12/16,riachão das neves,2019,580173.0040331781 -Mata Atlântica,camamu,4.45,2019,2019/07/19,camamu,2019,221471.44368362427 -Cerrado,riachão das neves,19.11,2019,2019/08/08,riachão das neves,2019,580173.0040331781 -Cerrado,formosa do rio preto,205.86,2019,2019/05/13,formosa do rio preto,2019,4220327.0016454905 -Cerrado,formosa do rio preto,386.35,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 -Caatinga,cotegipe,24.46,2019,2019/04/23,cotegipe,2019,331163.8086628318 -Cerrado,cocos,16.55,2019,2019/07/10,cocos,2019,959394.147064954 -Cerrado,formosa do rio preto,11.47,2019,2019/01/29,formosa do rio preto,2019,4220327.0016454905 -Mata Atlântica,maraú,1.91,2019,2019/06/09,maraú,2019,80207.4920681715 -Cerrado,santa rita de cássia,17.75,2020,2020/05/14,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,323.17,2020,2020/05/14,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,165.15,2020,2020/01/31,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,95.7,2020,2020/02/11,riachão das neves,2020,1085054.2665590644 -Cerrado,riachão das neves,259.4,2020,2020/03/29,riachão das neves,2020,1085054.2665590644 -Mata Atlântica,valença,2.32,2020,2020/01/11,valença,2020,427637.707020998 -Mata Atlântica,igrapiúna,1.36,2020,2020/06/19,igrapiúna,2020,378236.5840551853 -Caatinga,santa rita de cássia,7.72,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,jaborandi,5.51,2020,2020/07/01,jaborandi,2020,1744004.154955864 -Caatinga,correntina,8.96,2020,2020/08/01,correntina,2020,1060525.6563282013 -Caatinga,cotegipe,11.33,2020,2020/09/01,cotegipe,2020,559960.0834841728 -Cerrado,barreiras,8.79,2020,2020/09/15,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,54.34,2020,2020/10/23,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,2.37,2020,2020/11/15,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,8.13,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,18.1,2020,2020/12/14,baianópolis,2020,790814.9751247168 -Mata Atlântica,nilo peçanha,1.71,2020,2020/12/12,nilo peçanha,2020,154625.95725762844 -Cerrado,santa rita de cássia,7.37,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,25.41,2021,2021/01/23,formosa do rio preto,2021,2299737.8741800785 -Cerrado,são desidério,4418.4,2021,2021/03/02,são desidério,2021,3159579.701361537 -Cerrado,formosa do rio preto,10.94,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Caatinga,cotegipe,11.24,2021,2021/03/13,cotegipe,2021,292547.2605621815 -Cerrado,jaborandi,17.19,2021,2021/04/14,jaborandi,2021,2051920.940728784 -Mata Atlântica,ibirapitanga,1.05,2021,2021/04/27,ibirapitanga,2021,72436.60405349731 -Mata Atlântica,jequié,6.62,2021,2021/05/13,jequié,2021,163926.43447589874 -Caatinga,cotegipe,11.67,2021,2021/05/02,cotegipe,2021,292547.2605621815 -Cerrado,são desidério,2.39,2021,2021/01/01,são desidério,2021,3159579.701361537 -Cerrado,correntina,4.31,2021,2021/01/01,correntina,2021,1585476.3940644264 -Cerrado,correntina,14.62,2021,2021/01/01,correntina,2021,1585476.3940644264 -Cerrado,riachão das neves,162.74,2021,2021/03/01,riachão das neves,2021,761963.2862440944 -Caatinga,barra,0.41,2021,2021/03/01,barra,2021,79058.81857037544 -Caatinga,barra,36.5,2021,2021/05/28,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,8.69,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,santa rita de cássia,4.61,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,belmonte,9.31,2021,2021/06/15,belmonte,2021,331485.0170983076 -Cerrado,formosa do rio preto,19.72,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,são desidério,3.64,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,cotegipe,2.14,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,são desidério,3.33,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,cocos,40.74,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,cotegipe,2.71,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,santa rita de cássia,3.93,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,1.99,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,cotegipe,5.3,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,cotegipe,4.55,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,santa rita de cássia,6.65,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cotegipe,5.97,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,cotegipe,3.25,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,baianópolis,5.88,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,1.57,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,1.54,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Caatinga,correntina,2.65,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,20.47,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,são desidério,1.69,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,formosa do rio preto,4.7,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Caatinga,santa rita de cássia,1.0,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,2.64,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,3.54,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,3.15,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,10.57,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,6.47,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,9.27,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,jaborandi,6.86,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Caatinga,santa rita de cássia,24.09,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,3.95,2020,2020/01/01,cocos,2020,1218387.32458961 -Caatinga,correntina,1.83,2021,2021/05/01,correntina,2021,1585476.3940644264 -Cerrado,riachão das neves,9.99,2021,2021/07/01,riachão das neves,2021,761963.2862440944 -Cerrado,são desidério,12.55,2021,2021/08/05,são desidério,2021,3159579.701361537 -Cerrado,barreiras,27.21,2021,2021/09/26,barreiras,2021,958306.347179532 -Cerrado,jaborandi,28.54,2021,2021/09/20,jaborandi,2021,2051920.940728784 -Cerrado,santa rita de cássia,140.33,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,camamu,0.99,2021,2021/12/16,camamu,2021,163548.15982496738 -Mata Atlântica,belmonte,3.41,2021,2021/12/16,belmonte,2021,331485.0170983076 -Caatinga,barra,2.32,2021,2021/09/01,barra,2021,79058.81857037544 -Cerrado,riachão das neves,195.28,2021,2021/09/01,riachão das neves,2021,761963.2862440944 -Caatinga,santa rita de cássia,2.67,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,9.69,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Cerrado,baianópolis,0.71,2021,2021/10/01,baianópolis,2021,1700892.2622466087 -Cerrado,jaborandi,29.34,2021,2021/12/01,jaborandi,2021,2051920.940728784 -Cerrado,jaborandi,22.16,2021,2021/12/01,jaborandi,2021,2051920.940728784 -Caatinga,cotegipe,47.47,2021,2021/07/07,cotegipe,2021,292547.2605621815 -Caatinga,cotegipe,10.78,2021,2021/01/01,cotegipe,2021,292547.2605621815 -Cerrado,cotegipe,0.79,2021,2021/05/01,cotegipe,2021,292547.2605621815 -Caatinga,cotegipe,4.21,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Cerrado,formosa do rio preto,82.97,2022,2022/01/22,formosa do rio preto,2022,2432263.0 -Cerrado,são desidério,3408.17,2022,2022/03/15,são desidério,2022,2729422.0 -Cerrado,formosa do rio preto,701.67,2022,2022/03/01,formosa do rio preto,2022,2432263.0 -Cerrado,são desidério,112.83,2022,2022/05/09,são desidério,2022,2729422.0 -Mata Atlântica,encruzilhada,14.95,2022,2022/05/31,encruzilhada,2022,414662.0 -Mata Atlântica,ilhéus,1.18,2022,2022/06/30,ilhéus,2022,209209.0 -Cerrado,são desidério,169.71,2022,2022/06/13,são desidério,2022,2729422.0 -Mata Atlântica,iguaí,13.22,2022,2022/05/31,iguaí,2022,277970.0 -Mata Atlântica,maraú,1.43,2022,2022/05/31,maraú,2022,275953.0 -Mata Atlântica,valença,1.67,2022,2022/06/30,valença,2022,378871.0 -Mata Atlântica,belmonte,0.16,2022,2022/06/30,belmonte,2022,354868.0 -Mata Atlântica,itarantim,0.68,2022,2022/06/30,itarantim,2022,203154.0 -Cerrado,correntina,2.16,2022,2022/03/01,correntina,2022,1473135.0 -Cerrado,são desidério,1.36,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,cotegipe,4.39,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,jaborandi,8.93,2022,2022/03/01,jaborandi,2022,1734316.0 -Caatinga,jaborandi,6.2,2022,2022/03/01,jaborandi,2022,1734316.0 -Cerrado,formosa do rio preto,8.4,2022,2022/08/24,formosa do rio preto,2022,2432263.0 -Cerrado,correntina,2.11,2022,2022/04/01,correntina,2022,1473135.0 -Caatinga,barra,19.97,2022,2022/05/01,barra,2022,312169.0 -Mata Atlântica,valença,1.46,2022,2022/07/31,valença,2022,378871.0 -Mata Atlântica,nilo peçanha,4.95,2022,2022/07/31,nilo peçanha,2022,238334.0 -Cerrado,são desidério,46.97,2022,2022/09/26,são desidério,2022,2729422.0 -Mata Atlântica,belmonte,2.28,2019,2019/08/13,belmonte,2019,390403.1881421805 -Cerrado,santa rita de cássia,9.08,2019,2019/08/02,santa rita de cássia,2019,694797.0868461728 -Caatinga,jaborandi,4.82,2019,2019/09/26,jaborandi,2019,1706967.7386553884 -Cerrado,luís eduardo magalhães,168.38,2019,2019/10/07,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,formosa do rio preto,14.88,2019,2019/11/11,formosa do rio preto,2019,4220327.0016454905 -Cerrado,riachão das neves,37.7,2019,2019/12/16,riachão das neves,2019,580173.0040331781 -Caatinga,cocos,17.26,2019,2019/12/27,cocos,2019,959394.147064954 -Cerrado,formosa do rio preto,451.05,2019,2019/05/07,formosa do rio preto,2019,4220327.0016454905 -Cerrado,santa rita de cássia,10.03,2019,2019/05/13,santa rita de cássia,2019,694797.0868461728 -Cerrado,luís eduardo magalhães,139.58,2019,2019/04/17,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,luís eduardo magalhães,105.04,2019,2019/07/10,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,barreiras,12.03,2019,2019/01/29,barreiras,2019,1568927.0175619423 -Mata Atlântica,guaratinga,7.36,2019,2019/04/22,guaratinga,2019,211708.01093423367 -Mata Atlântica,itambé,8.2,2019,2019/03/05,itambé,2019,100107.73387336732 -Mata Atlântica,ibirapitanga,2.39,2019,2019/02/01,ibirapitanga,2019,86205.62920188904 -Cerrado,correntina,2.2,2020,2020/04/30,correntina,2020,1060525.6563282013 -Cerrado,barreiras,223.89,2020,2020/04/12,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,384.05,2020,2020/02/26,barreiras,2020,1179766.0970728395 -Cerrado,formosa do rio preto,117.6,2020,2020/04/29,formosa do rio preto,2020,3073766.4334418774 -Cerrado,riachão das neves,1.95,2020,2020/01/11,riachão das neves,2020,1085054.2665590644 -Cerrado,correntina,1017.31,2020,2020/01/31,correntina,2020,1060525.6563282013 -Cerrado,formosa do rio preto,1194.74,2020,2020/02/26,formosa do rio preto,2020,3073766.4334418774 -Cerrado,jaborandi,10.36,2020,2020/01/08,jaborandi,2020,1744004.154955864 -Mata Atlântica,encruzilhada,69.86,2020,2020/02/11,encruzilhada,2020,451620.4507952333 -Cerrado,são desidério,11.18,2020,2020/02/01,são desidério,2020,3091203.197527945 -Cerrado,santa rita de cássia,24.06,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,13.24,2020,2020/02/01,riachão das neves,2020,1085054.2665590644 -Mata Atlântica,valença,5.14,2020,2020/06/19,valença,2020,427637.707020998 -Cerrado,barreiras,22.19,2020,2020/06/09,barreiras,2020,1179766.0970728395 -Cerrado,formosa do rio preto,24.7,2020,2020/06/09,formosa do rio preto,2020,3073766.4334418774 -Cerrado,são desidério,32.52,2020,2020/07/05,são desidério,2020,3091203.197527945 -Caatinga,correntina,1.09,2020,2020/07/01,correntina,2020,1060525.6563282013 -Cerrado,barreiras,11.71,2020,2020/08/01,barreiras,2020,1179766.0970728395 -Cerrado,correntina,23.9,2020,2020/09/01,correntina,2020,1060525.6563282013 -Cerrado,santa rita de cássia,38.26,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,6.75,2020,2020/09/24,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,29.21,2020,2020/09/24,baianópolis,2020,790814.9751247168 -Mata Atlântica,nilo peçanha,2.1,2020,2020/10/25,nilo peçanha,2020,154625.95725762844 -Caatinga,barra,4.12,2020,2020/10/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,25.66,2020,2020/11/29,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,10.73,2020,2020/12/01,cotegipe,2020,559960.0834841728 -Caatinga,santa rita de cássia,17.98,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,8.89,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,valença,2.03,2020,2020/12/12,valença,2020,427637.707020998 -Cerrado,santa rita de cássia,3.61,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,1.54,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,camamu,2.67,2020,2020/12/29,camamu,2020,434741.3974044919 -Mata Atlântica,maraú,1.28,2020,2020/12/29,maraú,2020,170126.90513539314 -Mata Atlântica,dário meira,5.45,2021,2021/02/22,dário meira,2021,101797.88742160796 -Cerrado,formosa do rio preto,15.63,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,valença,4.41,2021,2021/04/27,valença,2021,195332.51262283325 -Caatinga,jequié,28.56,2021,2021/01/01,jequié,2021,163926.43447589874 -Cerrado,são desidério,4.31,2021,2021/01/01,são desidério,2021,3159579.701361537 -Cerrado,riachão das neves,9.31,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Cerrado,são desidério,353.1,2021,2021/05/16,são desidério,2021,3159579.701361537 -Caatinga,santa rita de cássia,5.04,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,valença,1.98,2021,2021/06/30,valença,2021,195332.51262283325 -Cerrado,riachão das neves,6.89,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,formosa do rio preto,2.9,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,luís eduardo magalhães,218.09,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 -Caatinga,cotegipe,1.82,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,cotegipe,10.37,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,riachão das neves,2.26,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Caatinga,santa rita de cássia,1.42,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,4.67,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,0.64,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,cotegipe,6.52,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,cotegipe,5.44,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,baianópolis,3.05,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,1.3,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,correntina,3.61,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,correntina,1.29,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,são desidério,5.75,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,7.5,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,2.0,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,jaborandi,3.07,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Caatinga,jaborandi,1.63,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Caatinga,santa rita de cássia,2.81,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,1.45,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,20.19,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,barreiras,15.62,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,formosa do rio preto,2.8,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,3.17,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,7.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cocos,8.56,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,cocos,7.46,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,santa rita de cássia,386.84,2021,2021/05/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cocos,9.16,2021,2021/08/08,cocos,2021,1229644.9681953788 -Cerrado,são desidério,103.02,2021,2021/08/22,são desidério,2021,3159579.701361537 -Cerrado,jaborandi,30.17,2021,2021/08/22,jaborandi,2021,2051920.940728784 -Cerrado,barreiras,110.39,2021,2021/08/28,barreiras,2021,958306.347179532 -Cerrado,barreiras,54.04,2021,2021/07/01,barreiras,2021,958306.347179532 -Caatinga,santa rita de cássia,13.47,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,15.87,2021,2021/08/01,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,28.78,2021,2021/08/01,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,belmonte,27.44,2021,2021/09/01,belmonte,2021,331485.0170983076 -Mata Atlântica,itambé,25.31,2021,2021/11/01,itambé,2021,65263.4872546196 -Mata Atlântica,itambé,3.36,2021,2021/12/01,itambé,2021,65263.4872546196 -Caatinga,santa rita de cássia,0.61,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,11.24,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,1.65,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cocos,11.58,2021,2021/10/01,cocos,2021,1229644.9681953788 -Caatinga,cocos,12.54,2021,2021/10/01,cocos,2021,1229644.9681953788 -Cerrado,riachão das neves,1.95,2021,2021/11/01,riachão das neves,2021,761963.2862440944 -Cerrado,são desidério,64.79,2021,2021/03/05,são desidério,2021,3159579.701361537 -Cerrado,jaborandi,3887.74,2021,2021/06/17,jaborandi,2021,2051920.940728784 -Mata Atlântica,encruzilhada,4.95,2022,2022/03/31,encruzilhada,2022,414662.0 -Cerrado,riachão das neves,250.21,2022,2022/03/01,riachão das neves,2022,670183.0 -Cerrado,luís eduardo magalhães,126.25,2022,2022/05/18,luís eduardo magalhães,2022,343098.0 -Cerrado,correntina,497.62,2022,2022/05/15,correntina,2022,1473135.0 -Cerrado,são desidério,46.54,2022,2022/05/09,são desidério,2022,2729422.0 -Cerrado,correntina,1046.07,2022,2022/04/07,correntina,2022,1473135.0 -Cerrado,formosa do rio preto,141.71,2022,2022/04/27,formosa do rio preto,2022,2432263.0 -Cerrado,jaborandi,149.32,2022,2022/04/19,jaborandi,2022,1734316.0 -Cerrado,santa rita de cássia,2.06,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,jaborandi,956.95,2022,2022/06/01,jaborandi,2022,1734316.0 -Cerrado,barreiras,102.55,2022,2022/06/07,barreiras,2022,996163.0 -Caatinga,cotegipe,6.77,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,formosa do rio preto,9.45,2022,2022/03/01,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,5.11,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Cerrado,barreiras,375.94,2022,2022/08/04,barreiras,2022,996163.0 -Cerrado,formosa do rio preto,36.92,2022,2022/08/01,formosa do rio preto,2022,2432263.0 -Cerrado,baianópolis,70.57,2022,2022/08/07,baianópolis,2022,413632.0 -Cerrado,jaborandi,5.8,2022,2022/04/01,jaborandi,2022,1734316.0 -Caatinga,barra,2.39,2022,2022/05/01,barra,2022,312169.0 -Cerrado,cocos,32.26,2022,2022/05/01,cocos,2022,367625.0 -Mata Atlântica,iguaí,0.77,2022,2022/07/31,iguaí,2022,277970.0 -Mata Atlântica,encruzilhada,5.76,2022,2022/07/31,encruzilhada,2022,414662.0 -Caatinga,santa rita de cássia,13.74,2019,2019/01/17,santa rita de cássia,2019,694797.0868461728 -Mata Atlântica,ilhéus,15.6,2019,2019/06/26,ilhéus,2019,158872.06799983978 -Cerrado,formosa do rio preto,316.86,2019,2019/08/08,formosa do rio preto,2019,4220327.0016454905 -Cerrado,correntina,488.23,2019,2019/09/11,correntina,2019,1545572.943816781 -Cerrado,luís eduardo magalhães,25.68,2019,2019/10/16,luís eduardo magalhães,2019,800435.7103590965 -Caatinga,cotegipe,37.87,2019,2019/12/16,cotegipe,2019,331163.8086628318 -Cerrado,baianópolis,12.12,2019,2019/08/02,baianópolis,2019,607436.7982445955 -Cerrado,são desidério,4.81,2019,2019/04/29,são desidério,2019,2024107.6610826247 -Cerrado,são desidério,17.39,2019,2019/01/06,são desidério,2019,2024107.6610826247 -Cerrado,barreiras,7.48,2019,2019/04/17,barreiras,2019,1568927.0175619423 -Cerrado,baianópolis,13.49,2019,2019/04/29,baianópolis,2019,607436.7982445955 -Caatinga,cotegipe,12.26,2019,2019/06/20,cotegipe,2019,331163.8086628318 -Cerrado,formosa do rio preto,523.73,2019,2019/08/31,formosa do rio preto,2019,4220327.0016454905 -Mata Atlântica,valença,3.16,2019,2019/04/22,valença,2019,247673.75340151787 -Mata Atlântica,belmonte,10.02,2019,2019/04/23,belmonte,2019,390403.1881421805 -Mata Atlântica,itapetinga,29.27,2019,2019/02/01,itapetinga,2019,57074.17749881744 -Mata Atlântica,camamu,6.29,2019,2019/01/24,camamu,2019,221471.44368362427 -Mata Atlântica,belmonte,6.67,2019,2019/03/30,belmonte,2019,390403.1881421805 -Cerrado,jaborandi,159.88,2020,2020/04/03,jaborandi,2020,1744004.154955864 -Caatinga,cotegipe,14.28,2020,2020/01/11,cotegipe,2020,559960.0834841728 -Cerrado,barreiras,1.84,2020,2020/03/29,barreiras,2020,1179766.0970728395 -Cerrado,formosa do rio preto,169.01,2020,2020/02/26,formosa do rio preto,2020,3073766.4334418774 -Cerrado,são desidério,105.18,2020,2020/05/11,são desidério,2020,3091203.197527945 -Cerrado,são desidério,12.41,2020,2020/05/11,são desidério,2020,3091203.197527945 -Mata Atlântica,camamu,14.16,2020,2020/04/16,camamu,2020,434741.3974044919 -Mata Atlântica,camamu,1.65,2020,2020/05/02,camamu,2020,434741.3974044919 -Cerrado,baianópolis,1.03,2020,2020/05/01,baianópolis,2020,790814.9751247168 -Cerrado,são desidério,4.73,2020,2020/05/01,são desidério,2020,3091203.197527945 -Caatinga,santa rita de cássia,72.61,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,16.55,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,226.59,2020,2020/05/23,santa rita de cássia,2020,859509.3606863022 -Cerrado,luís eduardo magalhães,28.99,2020,2020/05/28,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,correntina,293.82,2020,2020/05/28,correntina,2020,1060525.6563282013 -Cerrado,formosa do rio preto,210.99,2020,2020/05/31,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,389.6,2020,2020/05/23,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,78.13,2020,2020/06/06,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,195.43,2020,2020/07/01,riachão das neves,2020,1085054.2665590644 -Caatinga,santa rita de cássia,69.42,2020,2020/07/14,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,8.18,2020,2020/07/01,baianópolis,2020,790814.9751247168 -Cerrado,santa rita de cássia,34.49,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,40.91,2020,2020/08/29,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,1.04,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,camamu,1.01,2020,2020/09/08,camamu,2020,434741.3974044919 -Cerrado,riachão das neves,29.12,2020,2020/09/21,riachão das neves,2020,1085054.2665590644 -Cerrado,riachão das neves,5.52,2020,2020/09/24,riachão das neves,2020,1085054.2665590644 -Caatinga,cocos,29.02,2020,2020/10/14,cocos,2020,1218387.32458961 -Cerrado,são desidério,136.55,2020,2020/10/20,são desidério,2020,3091203.197527945 -Cerrado,cocos,3.07,2020,2020/10/01,cocos,2020,1218387.32458961 -Cerrado,cotegipe,12.54,2020,2020/11/24,cotegipe,2020,559960.0834841728 -Mata Atlântica,nilo peçanha,1.59,2020,2020/12/12,nilo peçanha,2020,154625.95725762844 -Caatinga,barra,9.42,2020,2020/12/23,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,2.46,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,maraú,1.28,2021,2021/02/06,maraú,2021,103211.31101250648 -Mata Atlântica,dário meira,4.64,2021,2021/02/14,dário meira,2021,101797.88742160796 -Mata Atlântica,ilhéus,1.37,2021,2021/03/11,ilhéus,2021,131715.1359180212 -Caatinga,santa rita de cássia,11.73,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 -Cerrado,cocos,206.49,2021,2021/03/19,cocos,2021,1229644.9681953788 -Cerrado,jaborandi,42.75,2021,2021/03/25,jaborandi,2021,2051920.940728784 -Cerrado,santa rita de cássia,50.43,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 -Cerrado,barreiras,1.19,2021,2021/01/01,barreiras,2021,958306.347179532 -Cerrado,barreiras,13.54,2021,2021/01/01,barreiras,2021,958306.347179532 -Cerrado,riachão das neves,3.49,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Cerrado,riachão das neves,11.33,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Cerrado,baianópolis,8.81,2021,2021/01/01,baianópolis,2021,1700892.2622466087 -Cerrado,são desidério,2.8,2021,2021/01/01,são desidério,2021,3159579.701361537 -Cerrado,riachão das neves,5.01,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Cerrado,são desidério,425.52,2021,2021/03/01,são desidério,2021,3159579.701361537 -Cerrado,baianópolis,14.62,2021,2021/05/16,baianópolis,2021,1700892.2622466087 -Cerrado,santa rita de cássia,43.67,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,2.3,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,0.4,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,6.66,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.53,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.2,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.57,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,cotegipe,3.34,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,barra,7.79,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,0.78,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.35,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,cotegipe,3.52,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,santa rita de cássia,0.76,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,10.07,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,4.54,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,são desidério,0.7,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,correntina,23.41,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,1.58,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,3.54,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Caatinga,jaborandi,7.95,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,barreiras,4.92,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,1.4,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,4.14,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,0.9,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,riachão das neves,6.99,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,barreiras,6.78,2021,2021/05/01,barreiras,2021,958306.347179532 -Cerrado,riachão das neves,3.02,2021,2021/05/01,riachão das neves,2021,761963.2862440944 -Caatinga,cotegipe,15.93,2021,2021/05/01,cotegipe,2021,292547.2605621815 -Cerrado,barreiras,27.08,2021,2021/08/02,barreiras,2021,958306.347179532 -Mata Atlântica,belmonte,2.94,2021,2021/09/03,belmonte,2021,331485.0170983076 -Mata Atlântica,guaratinga,6.42,2021,2021/09/02,guaratinga,2021,171742.56461274624 -Mata Atlântica,iguaí,3.51,2021,2021/09/18,iguaí,2021,155962.6907043457 -Cerrado,cocos,48.67,2021,2021/09/29,cocos,2021,1229644.9681953788 -Mata Atlântica,belmonte,25.21,2021,2021/10/29,belmonte,2021,331485.0170983076 -Mata Atlântica,itambé,4.52,2021,2021/11/01,itambé,2021,65263.4872546196 -Cerrado,riachão das neves,42.33,2021,2021/09/01,riachão das neves,2021,761963.2862440944 -Caatinga,santa rita de cássia,0.87,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,0.34,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,13.01,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,0.74,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,1.71,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,6.92,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Caatinga,cocos,6.59,2021,2021/10/01,cocos,2021,1229644.9681953788 -Cerrado,santa rita de cássia,25.18,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,santa rita de cássia,103.42,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,baianópolis,107.1,2021,2021/12/01,baianópolis,2021,1700892.2622466087 -Cerrado,barreiras,36.67,2021,2021/05/04,barreiras,2021,958306.347179532 -Cerrado,cocos,199.01,2021,2021/07/07,cocos,2021,1229644.9681953788 -Cerrado,santa rita de cássia,140.91,2021,2021/07/27,santa rita de cássia,2021,998700.5789114236 -Cerrado,são desidério,456.98,2021,2021/01/01,são desidério,2021,3159579.701361537 -Mata Atlântica,dário meira,3.86,2022,2022/02/28,dário meira,2022,217077.0 -Mata Atlântica,itapetinga,15.44,2022,2022/03/31,itapetinga,2022,285382.0 -Mata Atlântica,jequié,4.42,2022,2022/03/31,jequié,2022,498001.0 -Cerrado,baianópolis,141.22,2022,2022/01/22,baianópolis,2022,413632.0 -Cerrado,formosa do rio preto,11.51,2022,2022/05/29,formosa do rio preto,2022,2432263.0 -Caatinga,santa rita de cássia,80.25,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,3.41,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,4.02,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,formosa do rio preto,271.3,2022,2022/02/01,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,6.62,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,4.41,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Cerrado,baianópolis,6.53,2022,2022/08/04,baianópolis,2022,413632.0 -Cerrado,correntina,146.07,2022,2022/09/06,correntina,2022,1473135.0 -Cerrado,formosa do rio preto,544.98,2019,2019/09/14,formosa do rio preto,2019,4220327.0016454905 -Cerrado,riachão das neves,10.29,2019,2019/09/20,riachão das neves,2019,580173.0040331781 -Cerrado,cocos,37.3,2019,2019/10/28,cocos,2019,959394.147064954 -Cerrado,baianópolis,31.86,2019,2019/11/02,baianópolis,2019,607436.7982445955 -Mata Atlântica,itambé,19.45,2019,2019/10/31,itambé,2019,100107.73387336732 -Cerrado,cocos,27.88,2019,2019/12/16,cocos,2019,959394.147064954 -Caatinga,cocos,97.39,2019,2019/12/27,cocos,2019,959394.147064954 -Cerrado,formosa do rio preto,5.92,2019,2019/06/08,formosa do rio preto,2019,4220327.0016454905 -Cerrado,baianópolis,45.84,2019,2019/04/17,baianópolis,2019,607436.7982445955 -Cerrado,cocos,172.61,2019,2019/05/19,cocos,2019,959394.147064954 -Cerrado,formosa do rio preto,973.28,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 -Cerrado,formosa do rio preto,26.04,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 -Caatinga,santa rita de cássia,5.52,2019,2019/05/07,santa rita de cássia,2019,694797.0868461728 -Cerrado,formosa do rio preto,11.47,2019,2019/04/23,formosa do rio preto,2019,4220327.0016454905 -Caatinga,cotegipe,18.85,2019,2019/08/08,cotegipe,2019,331163.8086628318 -Caatinga,santa rita de cássia,5.28,2019,2019/03/31,santa rita de cássia,2019,694797.0868461728 -Cerrado,riachão das neves,3.99,2019,2019/08/08,riachão das neves,2019,580173.0040331781 -Cerrado,barreiras,110.84,2019,2019/06/02,barreiras,2019,1568927.0175619423 -Cerrado,santa rita de cássia,50.87,2019,2019/06/11,santa rita de cássia,2019,694797.0868461728 -Mata Atlântica,jequié,2.56,2019,2019/02/25,jequié,2019,249169.2120203972 -Mata Atlântica,guaratinga,1.37,2019,2019/08/20,guaratinga,2019,211708.01093423367 -Cerrado,barreiras,4.8,2020,2020/04/21,barreiras,2020,1179766.0970728395 -Cerrado,são desidério,1291.53,2020,2020/01/31,são desidério,2020,3091203.197527945 -Cerrado,riachão das neves,458.81,2020,2020/05/28,riachão das neves,2020,1085054.2665590644 -Cerrado,formosa do rio preto,18.14,2020,2020/07/25,formosa do rio preto,2020,3073766.4334418774 -Cerrado,baianópolis,6.96,2020,2020/07/01,baianópolis,2020,790814.9751247168 -Mata Atlântica,camamu,5.58,2020,2020/08/31,camamu,2020,434741.3974044919 -Cerrado,cocos,26.03,2020,2020/08/01,cocos,2020,1218387.32458961 -Caatinga,santa rita de cássia,76.85,2020,2020/08/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,7.4,2020,2020/09/01,são desidério,2020,3091203.197527945 -Caatinga,jaborandi,3.52,2020,2020/09/01,jaborandi,2020,1744004.154955864 -Caatinga,cotegipe,11.83,2020,2020/09/04,cotegipe,2020,559960.0834841728 -Mata Atlântica,valença,3.19,2020,2020/10/09,valença,2020,427637.707020998 -Mata Atlântica,maraú,1.88,2020,2020/11/10,maraú,2020,170126.90513539314 -Cerrado,baianópolis,3.44,2020,2020/11/24,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,13.58,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,37.67,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,belmonte,6.7,2020,2020/12/13,belmonte,2020,350558.8480718136 -Caatinga,barra,8.94,2021,2021/01/23,barra,2021,79058.81857037544 -Mata Atlântica,valença,1.66,2021,2021/02/06,valença,2021,195332.51262283325 -Mata Atlântica,itagibá,0.88,2021,2021/02/22,itagibá,2021,111453.28504517674 -Mata Atlântica,dário meira,0.86,2021,2021/02/22,dário meira,2021,101797.88742160796 -Cerrado,jaborandi,150.75,2021,2021/03/13,jaborandi,2021,2051920.940728784 -Caatinga,correntina,5.98,2021,2021/03/13,correntina,2021,1585476.3940644264 -Cerrado,baianópolis,13.49,2021,2021/03/13,baianópolis,2021,1700892.2622466087 -Mata Atlântica,itambé,3.36,2021,2021/03/10,itambé,2021,65263.4872546196 -Mata Atlântica,valença,1.8,2021,2021/04/27,valença,2021,195332.51262283325 -Cerrado,luís eduardo magalhães,104.44,2021,2021/05/04,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,são desidério,1.45,2021,2021/01/01,são desidério,2021,3159579.701361537 -Cerrado,formosa do rio preto,417.24,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 -Caatinga,barra,36.71,2021,2021/03/01,barra,2021,79058.81857037544 -Cerrado,jaborandi,431.67,2021,2021/05/27,jaborandi,2021,2051920.940728784 -Caatinga,barra,4.35,2021,2021/05/28,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,5.44,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,3.69,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,luís eduardo magalhães,1.14,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,são desidério,1.16,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,barra,5.04,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,3.58,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,6.54,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,4.51,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,1.74,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,são desidério,2.1,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,8.8,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,santa rita de cássia,1.16,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,1.36,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,5.57,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,7.48,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,luís eduardo magalhães,13.59,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,formosa do rio preto,0.81,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,3.94,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,7.77,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,67.25,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Caatinga,santa rita de cássia,0.79,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,2.33,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,jaborandi,4.14,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Caatinga,barra,1.22,2021,2021/05/01,barra,2021,79058.81857037544 -Cerrado,santa rita de cássia,302.89,2021,2021/07/04,santa rita de cássia,2021,998700.5789114236 -Cerrado,jaborandi,39.72,2021,2021/08/02,jaborandi,2021,2051920.940728784 -Cerrado,correntina,155.66,2021,2021/08/22,correntina,2021,1585476.3940644264 -Cerrado,santa rita de cássia,27.39,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,valença,3.11,2021,2021/09/18,valença,2021,195332.51262283325 -Cerrado,baianópolis,9.28,2021,2021/09/26,baianópolis,2021,1700892.2622466087 -Cerrado,santa rita de cássia,4.07,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 -Cerrado,são desidério,153.12,2021,2021/10/10,são desidério,2021,3159579.701361537 -Caatinga,santa rita de cássia,10.57,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,40.47,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,baianópolis,6.27,2021,2021/12/01,baianópolis,2021,1700892.2622466087 -Cerrado,formosa do rio preto,1073.03,2021,2021/06/14,formosa do rio preto,2021,2299737.8741800785 -Cerrado,cocos,443.54,2021,2021/07/07,cocos,2021,1229644.9681953788 -Caatinga,cotegipe,5.42,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Cerrado,riachão das neves,24.59,2021,2021/11/01,riachão das neves,2021,761963.2862440944 -Mata Atlântica,itambé,6.42,2022,2022/03/31,itambé,2022,227632.0 -Mata Atlântica,itagibá,0.56,2022,2022/03/31,itagibá,2022,288483.0 -Mata Atlântica,jequié,0.5,2022,2022/03/31,jequié,2022,498001.0 -Cerrado,correntina,20.8,2022,2022/01/19,correntina,2022,1473135.0 -Cerrado,barreiras,27.09,2022,2022/03/30,barreiras,2022,996163.0 -Cerrado,santa rita de cássia,589.8,2022,2022/03/30,santa rita de cássia,2022,569631.0 -Mata Atlântica,maraú,1.4,2022,2022/03/31,maraú,2022,275953.0 -Cerrado,jaborandi,17.94,2022,2022/04/25,jaborandi,2022,1734316.0 -Cerrado,santa rita de cássia,7.56,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,luís eduardo magalhães,58.77,2022,2022/06/10,luís eduardo magalhães,2022,343098.0 -Mata Atlântica,camamu,0.39,2022,2022/06/30,camamu,2022,232571.0 -Cerrado,riachão das neves,20.08,2022,2022/03/01,riachão das neves,2022,670183.0 -Cerrado,santa rita de cássia,23.65,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Cerrado,luís eduardo magalhães,259.74,2022,2022/03/01,luís eduardo magalhães,2022,343098.0 -Cerrado,barreiras,0.5,2022,2022/03/01,barreiras,2022,996163.0 -Cerrado,correntina,361.37,2022,2022/07/17,correntina,2022,1473135.0 -Cerrado,formosa do rio preto,59.81,2022,2022/08/04,formosa do rio preto,2022,2432263.0 -Caatinga,barra,0.79,2022,2022/04/01,barra,2022,312169.0 -Caatinga,barra,1.36,2022,2022/04/01,barra,2022,312169.0 -Mata Atlântica,valença,2.8,2022,2022/07/31,valença,2022,378871.0 -Cerrado,são desidério,105.29,2022,2022/09/03,são desidério,2022,2729422.0 -Mata Atlântica,itagibá,8.49,2019,2019/06/01,itagibá,2019,121675.55451917648 -Cerrado,santa rita de cássia,4.81,2019,2019/10/02,santa rita de cássia,2019,694797.0868461728 -Cerrado,cocos,10.33,2019,2019/10/31,cocos,2019,959394.147064954 -Mata Atlântica,valença,3.3,2019,2019/11/24,valença,2019,247673.75340151787 -Caatinga,cotegipe,10.88,2019,2019/11/23,cotegipe,2019,331163.8086628318 -Cerrado,barreiras,111.73,2019,2019/03/16,barreiras,2019,1568927.0175619423 -Cerrado,santa rita de cássia,47.9,2019,2019/04/26,santa rita de cássia,2019,694797.0868461728 -Cerrado,são desidério,181.23,2019,2019/03/09,são desidério,2019,2024107.6610826247 -Cerrado,baianópolis,17.55,2019,2019/08/02,baianópolis,2019,607436.7982445955 -Cerrado,barreiras,92.57,2019,2019/06/08,barreiras,2019,1568927.0175619423 -Cerrado,santa rita de cássia,6.09,2019,2019/02/21,santa rita de cássia,2019,694797.0868461728 -Cerrado,barreiras,43.33,2019,2019/07/13,barreiras,2019,1568927.0175619423 -Cerrado,baianópolis,49.25,2019,2019/01/29,baianópolis,2019,607436.7982445955 -Mata Atlântica,encruzilhada,2.0,2019,2019/04/29,encruzilhada,2019,403895.9177992344 -Mata Atlântica,belmonte,2.8,2019,2019/05/25,belmonte,2019,390403.1881421805 -Mata Atlântica,ilhéus,4.4,2019,2019/03/29,ilhéus,2019,158872.06799983978 -Mata Atlântica,dário meira,11.38,2019,2019/01/08,dário meira,2019,94401.96469908953 -Cerrado,barreiras,32.42,2020,2020/02/26,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,31.12,2020,2020/05/05,barreiras,2020,1179766.0970728395 -Mata Atlântica,igrapiúna,1.48,2020,2020/02/12,igrapiúna,2020,378236.5840551853 -Mata Atlântica,ibirapitanga,1.24,2020,2020/02/20,ibirapitanga,2020,296362.889919281 -Mata Atlântica,itagibá,32.04,2020,2020/02/12,itagibá,2020,72102.08046793938 -Cerrado,riachão das neves,59.28,2020,2020/06/01,riachão das neves,2020,1085054.2665590644 -Caatinga,jaborandi,11.45,2020,2020/06/01,jaborandi,2020,1744004.154955864 -Caatinga,santa rita de cássia,25.52,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,28.09,2020,2020/06/20,barreiras,2020,1179766.0970728395 -Cerrado,correntina,52.49,2020,2020/06/20,correntina,2020,1060525.6563282013 -Caatinga,correntina,3.82,2020,2020/07/01,correntina,2020,1060525.6563282013 -Caatinga,santa rita de cássia,1.5,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,jaborandi,16.65,2020,2020/07/01,jaborandi,2020,1744004.154955864 -Cerrado,riachão das neves,21.45,2020,2020/08/01,riachão das neves,2020,1085054.2665590644 -Cerrado,riachão das neves,3.73,2020,2020/08/01,riachão das neves,2020,1085054.2665590644 -Mata Atlântica,iguaí,3.14,2020,2020/09/01,iguaí,2020,127471.2907333374 -Cerrado,baianópolis,7.44,2020,2020/09/30,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,4.35,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,33.7,2020,2020/11/12,cocos,2020,1218387.32458961 -Cerrado,são desidério,202.68,2020,2020/12/14,são desidério,2020,3091203.197527945 -Cerrado,luís eduardo magalhães,47.41,2020,2020/12/14,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,santa rita de cássia,11.62,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,valença,2.29,2020,2020/12/12,valença,2020,427637.707020998 -Mata Atlântica,dário meira,3.79,2020,2020/12/12,dário meira,2020,92504.77269613744 -Cerrado,riachão das neves,9.24,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 -Caatinga,jaborandi,28.38,2021,2021/01/20,jaborandi,2021,2051920.940728784 -Cerrado,cocos,9.77,2021,2021/02/01,cocos,2021,1229644.9681953788 -Cerrado,baianópolis,6.77,2021,2021/02/01,baianópolis,2021,1700892.2622466087 -Cerrado,formosa do rio preto,16.27,2021,2021/02/01,formosa do rio preto,2021,2299737.8741800785 -Cerrado,barreiras,54.95,2021,2021/03/22,barreiras,2021,958306.347179532 -Mata Atlântica,valença,5.08,2021,2021/03/26,valença,2021,195332.51262283325 -Cerrado,cocos,173.04,2021,2021/03/25,cocos,2021,1229644.9681953788 -Mata Atlântica,belmonte,1.36,2021,2021/04/12,belmonte,2021,331485.0170983076 -Mata Atlântica,belmonte,7.51,2021,2021/04/28,belmonte,2021,331485.0170983076 -Caatinga,santa rita de cássia,4.66,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,santa rita de cássia,8.73,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,santa rita de cássia,6.66,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,correntina,1.05,2021,2021/01/01,correntina,2021,1585476.3940644264 -Caatinga,barra,3.26,2021,2021/03/01,barra,2021,79058.81857037544 -Cerrado,são desidério,17.32,2021,2021/03/01,são desidério,2021,3159579.701361537 -Cerrado,santa rita de cássia,1.7,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,cocos,0.98,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,são desidério,7.93,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,1.09,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,barra,2.08,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,3.2,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,0.64,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,6.73,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,2.09,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,5.25,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,3.97,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,5.68,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,6.53,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,4.6,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,barra,1.78,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,cotegipe,2.71,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,são desidério,0.41,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,correntina,4.65,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,0.86,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,correntina,1.83,2020,2020/01/01,correntina,2020,1060525.6563282013 -Caatinga,barra,1.49,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,riachão das neves,9.87,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,riachão das neves,2.3,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,luís eduardo magalhães,20.77,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,formosa do rio preto,1.24,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,3.02,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cocos,3.44,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,cocos,7.68,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,cocos,3.99,2020,2020/01/01,cocos,2020,1218387.32458961 -Caatinga,cocos,2.44,2020,2020/01/01,cocos,2020,1218387.32458961 -Mata Atlântica,ilhéus,3.39,2021,2021/07/08,ilhéus,2021,131715.1359180212 -Cerrado,santa rita de cássia,7.88,2021,2021/07/04,santa rita de cássia,2021,998700.5789114236 -Cerrado,são desidério,8.96,2021,2021/07/13,são desidério,2021,3159579.701361537 -Cerrado,correntina,151.92,2021,2021/07/21,correntina,2021,1585476.3940644264 -Cerrado,são desidério,186.23,2021,2021/07/18,são desidério,2021,3159579.701361537 -Cerrado,formosa do rio preto,12.12,2021,2021/08/13,formosa do rio preto,2021,2299737.8741800785 -Cerrado,barreiras,68.67,2021,2021/07/01,barreiras,2021,958306.347179532 -Cerrado,santa rita de cássia,66.25,2021,2021/09/17,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,7.47,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,encruzilhada,3.31,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Mata Atlântica,itapetinga,33.17,2021,2021/11/01,itapetinga,2021,20727.768303871155 -Mata Atlântica,iguaí,4.9,2021,2021/11/29,iguaí,2021,155962.6907043457 -Cerrado,riachão das neves,7.17,2021,2021/09/01,riachão das neves,2021,761963.2862440944 -Caatinga,santa rita de cássia,1.9,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,6.23,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,riachão das neves,13.6,2021,2021/11/01,riachão das neves,2021,761963.2862440944 -Caatinga,barra,4.24,2021,2021/11/01,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,3.94,2021,2021/03/05,santa rita de cássia,2021,998700.5789114236 -Cerrado,baianópolis,1.2,2021,2021/04/01,baianópolis,2021,1700892.2622466087 -Mata Atlântica,jequié,0.82,2022,2022/02/28,jequié,2022,498001.0 -Mata Atlântica,iguaí,4.87,2022,2022/03/31,iguaí,2022,277970.0 -Cerrado,jaborandi,1457.14,2022,2022/02/03,jaborandi,2022,1734316.0 -Cerrado,são desidério,12.01,2022,2022/02/23,são desidério,2022,2729422.0 -Caatinga,cotegipe,21.29,2022,2022/02/01,cotegipe,2022,297663.0 -Cerrado,riachão das neves,10.95,2022,2022/02/01,riachão das neves,2022,670183.0 -Cerrado,barreiras,490.32,2022,2022/06/07,barreiras,2022,996163.0 -Mata Atlântica,camamu,0.61,2022,2022/06/30,camamu,2022,232571.0 -Mata Atlântica,camamu,0.79,2022,2022/06/30,camamu,2022,232571.0 -Cerrado,riachão das neves,8.53,2022,2022/03/01,riachão das neves,2022,670183.0 -Caatinga,barra,2.81,2022,2022/03/01,barra,2022,312169.0 -Cerrado,são desidério,1.81,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,são desidério,54.8,2022,2022/08/04,são desidério,2022,2729422.0 -Cerrado,santa rita de cássia,2.17,2022,2022/08/22,santa rita de cássia,2022,569631.0 -Cerrado,baianópolis,25.86,2022,2022/08/02,baianópolis,2022,413632.0 -Caatinga,barra,0.49,2022,2022/04/01,barra,2022,312169.0 -Mata Atlântica,igrapiúna,1.12,2022,2022/07/31,igrapiúna,2022,210971.0 -Mata Atlântica,camamu,0.72,2022,2022/07/31,camamu,2022,232571.0 -Caatinga,santa rita de cássia,12.29,2022,2022/06/01,santa rita de cássia,2022,569631.0 -Cerrado,são desidério,14.77,2019,2019/09/20,são desidério,2019,2024107.6610826247 -Caatinga,cocos,3.4,2019,2019/10/16,cocos,2019,959394.147064954 -Mata Atlântica,itagibá,4.24,2019,2019/11/24,itagibá,2019,121675.55451917648 -Cerrado,riachão das neves,128.43,2019,2019/12/16,riachão das neves,2019,580173.0040331781 -Cerrado,baianópolis,11.71,2019,2019/09/09,baianópolis,2019,607436.7982445955 -Cerrado,formosa do rio preto,624.93,2019,2019/05/27,formosa do rio preto,2019,4220327.0016454905 -Cerrado,correntina,2.17,2019,2019/01/06,correntina,2019,1545572.943816781 -Cerrado,riachão das neves,25.23,2019,2019/02/04,riachão das neves,2019,580173.0040331781 -Cerrado,jaborandi,109.17,2019,2019/05/19,jaborandi,2019,1706967.7386553884 -Cerrado,baianópolis,1.76,2019,2019/08/02,baianópolis,2019,607436.7982445955 -Cerrado,baianópolis,6.93,2019,2019/08/02,baianópolis,2019,607436.7982445955 -Cerrado,baianópolis,5.49,2019,2019/06/08,baianópolis,2019,607436.7982445955 -Cerrado,baianópolis,1.91,2019,2019/08/02,baianópolis,2019,607436.7982445955 -Cerrado,santa rita de cássia,13.25,2019,2019/08/02,santa rita de cássia,2019,694797.0868461728 -Mata Atlântica,ilhéus,6.73,2019,2019/06/01,ilhéus,2019,158872.06799983978 -Cerrado,correntina,291.79,2020,2020/04/03,correntina,2020,1060525.6563282013 -Cerrado,luís eduardo magalhães,21.65,2020,2020/04/29,luís eduardo magalhães,2020,1523413.1056941748 -Caatinga,santa rita de cássia,2.02,2020,2020/01/11,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,17.27,2020,2020/01/31,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,33.22,2020,2020/03/29,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,387.69,2020,2020/04/29,formosa do rio preto,2020,3073766.4334418774 -Mata Atlântica,camamu,5.51,2020,2020/04/16,camamu,2020,434741.3974044919 -Mata Atlântica,belmonte,12.81,2020,2020/05/03,belmonte,2020,350558.8480718136 -Mata Atlântica,belmonte,1.53,2020,2020/02/29,belmonte,2020,350558.8480718136 -Mata Atlântica,igrapiúna,1.11,2020,2020/02/12,igrapiúna,2020,378236.5840551853 -Cerrado,correntina,92.38,2020,2020/06/01,correntina,2020,1060525.6563282013 -Cerrado,barreiras,777.83,2020,2020/06/01,barreiras,2020,1179766.0970728395 -Cerrado,são desidério,155.32,2020,2020/06/01,são desidério,2020,3091203.197527945 -Cerrado,jaborandi,4.73,2020,2020/06/01,jaborandi,2020,1744004.154955864 -Cerrado,baianópolis,169.81,2020,2020/06/01,baianópolis,2020,790814.9751247168 -Mata Atlântica,valença,0.99,2020,2020/06/19,valença,2020,427637.707020998 -Cerrado,são desidério,45.4,2020,2020/05/31,são desidério,2020,3091203.197527945 -Cerrado,riachão das neves,115.82,2020,2020/06/20,riachão das neves,2020,1085054.2665590644 -Cerrado,baianópolis,250.93,2020,2020/07/08,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,20.28,2020,2020/05/28,baianópolis,2020,790814.9751247168 -Cerrado,barreiras,18.65,2020,2020/06/06,barreiras,2020,1179766.0970728395 -Cerrado,baianópolis,34.1,2020,2020/07/22,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,10.53,2020,2020/07/28,baianópolis,2020,790814.9751247168 -Caatinga,correntina,11.82,2020,2020/08/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,183.28,2020,2020/08/29,baianópolis,2020,790814.9751247168 -Cerrado,jaborandi,3.26,2020,2020/09/01,jaborandi,2020,1744004.154955864 -Mata Atlântica,ilhéus,0.35,2020,2020/09/08,ilhéus,2020,191205.86366391185 -Mata Atlântica,dário meira,7.17,2020,2020/09/15,dário meira,2020,92504.77269613744 -Caatinga,santa rita de cássia,10.23,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,12.2,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,valença,2.29,2020,2020/10/09,valença,2020,427637.707020998 -Cerrado,são desidério,7.14,2020,2020/10/14,são desidério,2020,3091203.197527945 -Cerrado,luís eduardo magalhães,103.73,2020,2020/10/20,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,santa rita de cássia,11.66,2020,2020/10/26,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,4.3,2020,2020/10/01,cocos,2020,1218387.32458961 -Caatinga,correntina,2.4,2020,2020/10/01,correntina,2020,1060525.6563282013 -Caatinga,santa rita de cássia,10.54,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,16.13,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,luís eduardo magalhães,51.05,2020,2020/12/31,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,riachão das neves,1.75,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 -Cerrado,riachão das neves,2.52,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 -Cerrado,são desidério,55.84,2020,2020/12/01,são desidério,2020,3091203.197527945 -Caatinga,cotegipe,13.23,2021,2021/01/23,cotegipe,2021,292547.2605621815 -Mata Atlântica,nilo peçanha,3.96,2021,2021/02/15,nilo peçanha,2021,59568.41939795017 -Mata Atlântica,camamu,1.12,2021,2021/02/22,camamu,2021,163548.15982496738 -Cerrado,jaborandi,416.31,2021,2021/03/22,jaborandi,2021,2051920.940728784 -Cerrado,formosa do rio preto,14.63,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,ilhéus,3.01,2021,2021/03/26,ilhéus,2021,131715.1359180212 -Cerrado,santa rita de cássia,20.28,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 -Cerrado,barreiras,6.56,2021,2021/03/22,barreiras,2021,958306.347179532 -Cerrado,cocos,2414.17,2021,2021/03/31,cocos,2021,1229644.9681953788 -Mata Atlântica,belmonte,6.84,2021,2021/04/12,belmonte,2021,331485.0170983076 -Cerrado,formosa do rio preto,63.68,2021,2021/05/04,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,ibirapitanga,1.48,2021,2021/05/13,ibirapitanga,2021,72436.60405349731 -Caatinga,barra,1.59,2021,2021/01/01,barra,2021,79058.81857037544 -Cerrado,são desidério,10.47,2021,2021/01/01,são desidério,2021,3159579.701361537 -Cerrado,correntina,1.59,2021,2021/01/01,correntina,2021,1585476.3940644264 -Cerrado,riachão das neves,12.58,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Cerrado,riachão das neves,113.35,2021,2021/03/01,riachão das neves,2021,761963.2862440944 -Mata Atlântica,ilhéus,12.06,2021,2021/05/21,ilhéus,2021,131715.1359180212 -Caatinga,santa rita de cássia,1.19,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,6.04,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,barreiras,47.05,2021,2021/04/01,barreiras,2021,958306.347179532 -Caatinga,santa rita de cássia,4.39,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,10.08,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,são desidério,3.39,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,4.07,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,barra,1.78,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,0.65,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,1.86,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,1.6,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,baianópolis,3.98,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,santa rita de cássia,2.75,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,3.76,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,cocos,4.31,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,santa rita de cássia,1.65,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,2.85,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cocos,5.3,2020,2020/01/01,cocos,2020,1218387.32458961 -Caatinga,correntina,2.94,2021,2021/05/01,correntina,2021,1585476.3940644264 -Cerrado,santa rita de cássia,12.85,2021,2021/07/04,santa rita de cássia,2021,998700.5789114236 -Cerrado,luís eduardo magalhães,3.61,2021,2021/08/02,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,barreiras,20.72,2021,2021/08/02,barreiras,2021,958306.347179532 -Cerrado,barreiras,51.45,2021,2021/08/31,barreiras,2021,958306.347179532 -Cerrado,riachão das neves,10.02,2021,2021/07/01,riachão das neves,2021,761963.2862440944 -Cerrado,são desidério,26.81,2021,2021/09/26,são desidério,2021,3159579.701361537 -Mata Atlântica,encruzilhada,18.02,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Mata Atlântica,ilhéus,2.71,2021,2021/11/29,ilhéus,2021,131715.1359180212 -Mata Atlântica,ilhéus,5.48,2021,2021/11/21,ilhéus,2021,131715.1359180212 -Caatinga,jequié,26.42,2021,2021/09/01,jequié,2021,163926.43447589874 -Cerrado,baianópolis,19.56,2021,2021/10/01,baianópolis,2021,1700892.2622466087 -Cerrado,riachão das neves,20.96,2021,2021/11/01,riachão das neves,2021,761963.2862440944 -Cerrado,santa rita de cássia,3.72,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,5.12,2021,2021/12/01,cotegipe,2021,292547.2605621815 -Mata Atlântica,itarantim,4.82,2022,2022/03/31,itarantim,2022,203154.0 -Mata Atlântica,itapetinga,1.21,2022,2022/03/31,itapetinga,2022,285382.0 -Cerrado,barreiras,337.11,2022,2022/02/03,barreiras,2022,996163.0 -Cerrado,jaborandi,82.7,2022,2022/03/21,jaborandi,2022,1734316.0 -Cerrado,são desidério,65.45,2022,2022/03/24,são desidério,2022,2729422.0 -Cerrado,correntina,1174.8,2022,2022/05/21,correntina,2022,1473135.0 -Cerrado,formosa do rio preto,10.14,2022,2022/05/29,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,25.31,2022,2022/05/29,formosa do rio preto,2022,2432263.0 -Cerrado,luís eduardo magalhães,20.4,2022,2022/05/06,luís eduardo magalhães,2022,343098.0 -Caatinga,santa rita de cássia,10.22,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,6.46,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,riachão das neves,86.1,2022,2022/06/04,riachão das neves,2022,670183.0 -Cerrado,jaborandi,105.93,2022,2022/06/08,jaborandi,2022,1734316.0 -Mata Atlântica,nilo peçanha,0.96,2022,2022/06/30,nilo peçanha,2022,238334.0 -Cerrado,jaborandi,9.88,2022,2022/03/01,jaborandi,2022,1734316.0 -Cerrado,riachão das neves,5.8,2022,2022/03/01,riachão das neves,2022,670183.0 -Cerrado,barreiras,2.08,2022,2022/03/01,barreiras,2022,996163.0 -Cerrado,formosa do rio preto,19.92,2022,2022/03/01,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,11.13,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Cerrado,correntina,135.62,2022,2022/08/12,correntina,2022,1473135.0 -Cerrado,baianópolis,13.53,2022,2022/09/16,baianópolis,2022,413632.0 -Mata Atlântica,ibirapitanga,2.29,2019,2019/11/08,ibirapitanga,2019,86205.62920188904 -Cerrado,riachão das neves,27.4,2019,2019/09/20,riachão das neves,2019,580173.0040331781 -Cerrado,baianópolis,61.06,2019,2019/10/02,baianópolis,2019,607436.7982445955 -Mata Atlântica,itagibá,5.92,2019,2019/11/08,itagibá,2019,121675.55451917648 -Cerrado,formosa do rio preto,337.37,2019,2019/01/20,formosa do rio preto,2019,4220327.0016454905 -Cerrado,barreiras,352.89,2019,2019/02/21,barreiras,2019,1568927.0175619423 -Cerrado,formosa do rio preto,7.12,2019,2019/01/29,formosa do rio preto,2019,4220327.0016454905 -Cerrado,baianópolis,24.01,2019,2019/02/15,baianópolis,2019,607436.7982445955 -Cerrado,santa rita de cássia,166.5,2019,2019/01/17,santa rita de cássia,2019,694797.0868461728 -Cerrado,formosa do rio preto,337.07,2019,2019/02/04,formosa do rio preto,2019,4220327.0016454905 -Caatinga,cotegipe,11.87,2019,2019/02/01,cotegipe,2019,331163.8086628318 -Cerrado,riachão das neves,31.83,2019,2019/04/17,riachão das neves,2019,580173.0040331781 -Cerrado,luís eduardo magalhães,339.17,2019,2019/04/17,luís eduardo magalhães,2019,800435.7103590965 -Mata Atlântica,ibirapitanga,2.04,2019,2019/04/22,ibirapitanga,2019,86205.62920188904 -Cerrado,jaborandi,4.34,2020,2020/04/30,jaborandi,2020,1744004.154955864 -Cerrado,são desidério,270.41,2020,2020/01/31,são desidério,2020,3091203.197527945 -Cerrado,jaborandi,1403.39,2020,2020/04/21,jaborandi,2020,1744004.154955864 -Cerrado,luís eduardo magalhães,188.72,2020,2020/03/29,luís eduardo magalhães,2020,1523413.1056941748 -Mata Atlântica,belmonte,4.59,2020,2020/02/29,belmonte,2020,350558.8480718136 -Caatinga,barra,3.46,2020,2020/05/01,barra,2020,139778.05993533134 -Cerrado,cotegipe,5.44,2020,2020/06/01,cotegipe,2020,559960.0834841728 -Cerrado,barreiras,19.88,2020,2020/06/01,barreiras,2020,1179766.0970728395 -Cerrado,baianópolis,670.41,2020,2020/06/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,18.91,2020,2020/06/09,baianópolis,2020,790814.9751247168 -Cerrado,santa rita de cássia,11.33,2020,2020/07/28,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,2.26,2020,2020/07/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,3.36,2020,2020/07/01,baianópolis,2020,790814.9751247168 -Cerrado,barreiras,27.19,2020,2020/08/01,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,11.03,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,6.33,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 -Caatinga,cocos,5.18,2020,2020/10/01,cocos,2020,1218387.32458961 -Caatinga,santa rita de cássia,3.03,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,itambé,26.13,2020,2020/11/10,itambé,2020,144429.97027254105 -Cerrado,baianópolis,4.77,2020,2020/11/24,baianópolis,2020,790814.9751247168 -Cerrado,cotegipe,3.64,2020,2020/11/24,cotegipe,2020,559960.0834841728 -Mata Atlântica,camamu,1.72,2020,2020/12/12,camamu,2020,434741.3974044919 -Mata Atlântica,camamu,1.85,2020,2020/12/12,camamu,2020,434741.3974044919 -Mata Atlântica,dário meira,24.69,2020,2020/12/12,dário meira,2020,92504.77269613744 -Cerrado,riachão das neves,1.87,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 -Caatinga,santa rita de cássia,27.96,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,1.65,2020,2020/12/01,barra,2020,139778.05993533134 -Mata Atlântica,guaratinga,4.79,2021,2021/02/14,guaratinga,2021,171742.56461274624 -Caatinga,jaborandi,10.95,2021,2021/02/01,jaborandi,2021,2051920.940728784 -Caatinga,cotegipe,62.11,2021,2021/02/01,cotegipe,2021,292547.2605621815 -Cerrado,são desidério,241.81,2021,2021/03/05,são desidério,2021,3159579.701361537 -Cerrado,correntina,361.32,2021,2021/03/13,correntina,2021,1585476.3940644264 -Caatinga,cocos,18.49,2021,2021/03/08,cocos,2021,1229644.9681953788 -Mata Atlântica,camamu,1.37,2021,2021/03/10,camamu,2021,163548.15982496738 -Caatinga,santa rita de cássia,5.11,2021,2021/03/06,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,igrapiúna,1.68,2021,2021/04/19,igrapiúna,2021,148621.67436516285 -Mata Atlântica,valença,1.41,2021,2021/04/27,valença,2021,195332.51262283325 -Cerrado,formosa do rio preto,130.16,2021,2021/05/04,formosa do rio preto,2021,2299737.8741800785 -Cerrado,riachão das neves,5.97,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Cerrado,correntina,10.15,2021,2021/01/01,correntina,2021,1585476.3940644264 -Cerrado,baianópolis,5.78,2021,2021/01/01,baianópolis,2021,1700892.2622466087 -Cerrado,são desidério,9.74,2021,2021/03/01,são desidério,2021,3159579.701361537 -Cerrado,luís eduardo magalhães,3.27,2021,2021/03/01,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,formosa do rio preto,1241.5,2021,2021/03/01,formosa do rio preto,2021,2299737.8741800785 -Cerrado,barreiras,101.18,2021,2021/04/01,barreiras,2021,958306.347179532 -Mata Atlântica,ibirapitanga,3.61,2021,2021/06/30,ibirapitanga,2021,72436.60405349731 -Cerrado,são desidério,4.76,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,barra,3.85,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.64,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,2.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,4.1,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,santa rita de cássia,9.23,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,jaborandi,2.24,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,baianópolis,21.88,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,são desidério,8.58,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,correntina,1.37,2020,2020/01/01,correntina,2020,1060525.6563282013 -Caatinga,santa rita de cássia,5.7,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,7.55,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,riachão das neves,1.29,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Caatinga,santa rita de cássia,5.66,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,3.22,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,4.95,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,1.14,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,6.24,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,18.29,2021,2021/05/01,formosa do rio preto,2021,2299737.8741800785 -Caatinga,barra,1.0,2021,2021/05/01,barra,2021,79058.81857037544 -Caatinga,cotegipe,41.08,2021,2021/07/16,cotegipe,2021,292547.2605621815 -Cerrado,barreiras,143.81,2021,2021/07/01,barreiras,2021,958306.347179532 -Mata Atlântica,encruzilhada,75.01,2021,2021/07/16,encruzilhada,2021,587315.3614428043 -Caatinga,jaborandi,13.72,2021,2021/06/01,jaborandi,2021,2051920.940728784 -Cerrado,barreiras,342.55,2021,2021/08/02,barreiras,2021,958306.347179532 -Cerrado,correntina,501.71,2021,2021/09/11,correntina,2021,1585476.3940644264 -Cerrado,riachão das neves,31.28,2021,2021/09/29,riachão das neves,2021,761963.2862440944 -Cerrado,são desidério,30.4,2021,2021/10/25,são desidério,2021,3159579.701361537 -Mata Atlântica,encruzilhada,124.52,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Caatinga,cotegipe,14.07,2021,2021/11/18,cotegipe,2021,292547.2605621815 -Cerrado,são desidério,150.96,2021,2021/11/25,são desidério,2021,3159579.701361537 -Caatinga,cotegipe,2.96,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Caatinga,barra,0.25,2021,2021/09/01,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,2.99,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,6.0,2021,2021/10/01,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,21.29,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,baianópolis,14.14,2021,2021/06/02,baianópolis,2021,1700892.2622466087 -Cerrado,barreiras,5.51,2021,2021/07/07,barreiras,2021,958306.347179532 -Cerrado,são desidério,6.15,2021,2021/01/01,são desidério,2021,3159579.701361537 -Caatinga,santa rita de cássia,6.19,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,luís eduardo magalhães,129.28,2022,2022/02/03,luís eduardo magalhães,2022,343098.0 -Cerrado,correntina,59.7,2022,2022/05/06,correntina,2022,1473135.0 -Cerrado,riachão das neves,1064.31,2022,2022/04/04,riachão das neves,2022,670183.0 -Cerrado,cocos,63.27,2022,2022/04/10,cocos,2022,367625.0 -Cerrado,riachão das neves,218.09,2022,2022/06/07,riachão das neves,2022,670183.0 -Cerrado,baianópolis,13.54,2022,2022/03/01,baianópolis,2022,413632.0 -Cerrado,cocos,1.39,2022,2022/03/01,cocos,2022,367625.0 -Cerrado,são desidério,5.59,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,formosa do rio preto,9.04,2022,2022/03/01,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,8.05,2022,2022/08/12,santa rita de cássia,2022,569631.0 -Caatinga,barra,4.35,2022,2022/04/01,barra,2022,312169.0 -Mata Atlântica,valença,1.1,2022,2022/07/31,valença,2022,378871.0 -Mata Atlântica,encruzilhada,7.34,2022,2022/08/31,encruzilhada,2022,414662.0 -Cerrado,são desidério,379.74,2022,2022/09/06,são desidério,2022,2729422.0 -Cerrado,correntina,216.2,2022,2022/09/03,correntina,2022,1473135.0 -Mata Atlântica,encruzilhada,12.63,2019,2019/04/21,encruzilhada,2019,403895.9177992344 -Cerrado,formosa do rio preto,245.57,2019,2019/06/08,formosa do rio preto,2019,4220327.0016454905 -Cerrado,jaborandi,698.01,2019,2019/08/28,jaborandi,2019,1706967.7386553884 -Cerrado,riachão das neves,5.99,2019,2019/09/20,riachão das neves,2019,580173.0040331781 -Cerrado,jaborandi,156.01,2019,2019/10/30,jaborandi,2019,1706967.7386553884 -Cerrado,são desidério,229.13,2019,2019/12/07,são desidério,2019,2024107.6610826247 -Cerrado,baianópolis,15.65,2019,2019/03/16,baianópolis,2019,607436.7982445955 -Cerrado,formosa do rio preto,6.13,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 -Cerrado,santa rita de cássia,8.84,2019,2019/02/01,santa rita de cássia,2019,694797.0868461728 -Cerrado,riachão das neves,29.85,2019,2019/06/25,riachão das neves,2019,580173.0040331781 -Mata Atlântica,itagibá,14.25,2019,2019/02/25,itagibá,2019,121675.55451917648 -Mata Atlântica,encruzilhada,2.88,2019,2019/04/21,encruzilhada,2019,403895.9177992344 -Mata Atlântica,ilhéus,2.53,2019,2019/03/29,ilhéus,2019,158872.06799983978 -Mata Atlântica,igrapiúna,1.21,2019,2019/06/09,igrapiúna,2019,257694.0746061802 -Cerrado,baianópolis,54.98,2020,2020/04/21,baianópolis,2020,790814.9751247168 -Cerrado,barreiras,25.58,2020,2020/03/29,barreiras,2020,1179766.0970728395 -Cerrado,formosa do rio preto,92.06,2020,2020/04/29,formosa do rio preto,2020,3073766.4334418774 -Cerrado,são desidério,1740.08,2020,2020/04/27,são desidério,2020,3091203.197527945 -Mata Atlântica,valença,4.66,2020,2020/04/16,valença,2020,427637.707020998 -Mata Atlântica,igrapiúna,3.12,2020,2020/04/16,igrapiúna,2020,378236.5840551853 -Caatinga,cocos,10.65,2020,2020/06/01,cocos,2020,1218387.32458961 -Cerrado,são desidério,15.26,2020,2020/02/01,são desidério,2020,3091203.197527945 -Mata Atlântica,valença,5.83,2020,2020/06/27,valença,2020,427637.707020998 -Mata Atlântica,encruzilhada,7.46,2020,2020/06/26,encruzilhada,2020,451620.4507952333 -Cerrado,riachão das neves,774.96,2020,2020/05/31,riachão das neves,2020,1085054.2665590644 -Cerrado,barreiras,87.45,2020,2020/06/20,barreiras,2020,1179766.0970728395 -Cerrado,formosa do rio preto,7.74,2020,2020/07/25,formosa do rio preto,2020,3073766.4334418774 -Cerrado,riachão das neves,8.04,2020,2020/07/01,riachão das neves,2020,1085054.2665590644 -Caatinga,jaborandi,5.23,2020,2020/07/01,jaborandi,2020,1744004.154955864 -Cerrado,santa rita de cássia,178.63,2020,2020/08/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,7.23,2020,2020/08/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,31.27,2020,2020/09/21,riachão das neves,2020,1085054.2665590644 -Cerrado,luís eduardo magalhães,383.88,2020,2020/09/21,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,são desidério,9.91,2020,2020/09/01,são desidério,2020,3091203.197527945 -Cerrado,santa rita de cássia,19.31,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,24.76,2020,2020/09/24,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,29.6,2020,2020/09/24,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,17.86,2020,2020/09/30,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,3.95,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,7.47,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,5.61,2020,2020/11/15,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,19.38,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,ibirapitanga,0.98,2021,2021/02/06,ibirapitanga,2021,72436.60405349731 -Cerrado,formosa do rio preto,44.35,2021,2021/02/01,formosa do rio preto,2021,2299737.8741800785 -Cerrado,luís eduardo magalhães,18.81,2021,2021/03/28,luís eduardo magalhães,2021,654262.0002045631 -Mata Atlântica,valença,7.69,2021,2021/04/27,valença,2021,195332.51262283325 -Mata Atlântica,belmonte,25.07,2021,2021/04/27,belmonte,2021,331485.0170983076 -Cerrado,barreiras,8.64,2021,2021/01/01,barreiras,2021,958306.347179532 -Cerrado,riachão das neves,3.08,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Cerrado,riachão das neves,1.7,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Cerrado,baianópolis,17.18,2021,2021/03/01,baianópolis,2021,1700892.2622466087 -Cerrado,formosa do rio preto,1954.57,2021,2021/03/01,formosa do rio preto,2021,2299737.8741800785 -Cerrado,riachão das neves,30.84,2021,2021/05/10,riachão das neves,2021,761963.2862440944 -Caatinga,cotegipe,23.34,2021,2021/05/22,cotegipe,2021,292547.2605621815 -Caatinga,santa rita de cássia,25.45,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,7.53,2021,2021/06/20,cotegipe,2021,292547.2605621815 -Mata Atlântica,belmonte,8.47,2021,2021/06/15,belmonte,2021,331485.0170983076 -Cerrado,formosa do rio preto,3.2,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,correntina,6.19,2020,2020/01/01,correntina,2020,1060525.6563282013 -Caatinga,cotegipe,4.31,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,cotegipe,8.28,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,barra,1.55,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,0.82,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,3.6,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,4.85,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,são desidério,1.71,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,1.84,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,2.9,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,4.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,26.18,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,9.29,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,6.52,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,4.45,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,23.5,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,1.17,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,3.41,2021,2021/06/01,correntina,2021,1585476.3940644264 -Cerrado,barreiras,19.66,2021,2021/08/02,barreiras,2021,958306.347179532 -Mata Atlântica,camamu,5.56,2021,2021/08/10,camamu,2021,163548.15982496738 -Mata Atlântica,jequié,17.1,2021,2021/09/18,jequié,2021,163926.43447589874 -Mata Atlântica,belmonte,6.42,2021,2021/09/01,belmonte,2021,331485.0170983076 -Mata Atlântica,encruzilhada,7.38,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Mata Atlântica,ilhéus,2.04,2021,2021/11/29,ilhéus,2021,131715.1359180212 -Caatinga,santa rita de cássia,4.06,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,1.58,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,2.55,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Caatinga,barra,2.88,2021,2021/09/01,barra,2021,79058.81857037544 -Cerrado,santa rita de cássia,64.58,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,5.2,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,cotegipe,135.74,2021,2021/01/09,cotegipe,2021,292547.2605621815 -Cerrado,barreiras,131.65,2021,2021/03/22,barreiras,2021,958306.347179532 -Cerrado,correntina,0.5,2021,2021/01/01,correntina,2021,1585476.3940644264 -Mata Atlântica,belmonte,5.82,2022,2022/03/31,belmonte,2022,354868.0 -Cerrado,são desidério,98.59,2022,2022/01/22,são desidério,2022,2729422.0 -Cerrado,são desidério,668.75,2022,2022/01/25,são desidério,2022,2729422.0 -Cerrado,luís eduardo magalhães,271.54,2022,2022/02/03,luís eduardo magalhães,2022,343098.0 -Cerrado,luís eduardo magalhães,66.94,2022,2022/02/03,luís eduardo magalhães,2022,343098.0 -Cerrado,jaborandi,31.11,2022,2022/03/27,jaborandi,2022,1734316.0 -Cerrado,são desidério,125.1,2022,2022/05/06,são desidério,2022,2729422.0 -Mata Atlântica,guaratinga,1.54,2022,2022/04/30,guaratinga,2022,243882.0 -Cerrado,cocos,1633.16,2022,2022/06/10,cocos,2022,367625.0 -Cerrado,são desidério,1227.28,2022,2022/06/10,são desidério,2022,2729422.0 -Cerrado,são desidério,334.87,2022,2022/06/13,são desidério,2022,2729422.0 -Mata Atlântica,camamu,0.33,2022,2022/06/30,camamu,2022,232571.0 -Mata Atlântica,valença,0.37,2022,2022/06/30,valença,2022,378871.0 -Cerrado,correntina,1.9,2022,2022/03/01,correntina,2022,1473135.0 -Cerrado,barreiras,4.59,2022,2022/03/01,barreiras,2022,996163.0 -Cerrado,santa rita de cássia,8.84,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Cerrado,são desidério,776.06,2022,2022/08/15,são desidério,2022,2729422.0 -Caatinga,jaborandi,7.14,2022,2022/05/01,jaborandi,2022,1734316.0 -Mata Atlântica,jequié,4.06,2022,2022/07/31,jequié,2022,498001.0 -Cerrado,são desidério,75.13,2022,2022/09/06,são desidério,2022,2729422.0 -Cerrado,correntina,101.68,2022,2022/09/06,correntina,2022,1473135.0 -Cerrado,cocos,52.68,2022,2022/09/01,cocos,2022,367625.0 -Cerrado,cotegipe,140.25,2022,2022/09/26,cotegipe,2022,297663.0 -Mata Atlântica,belmonte,1.11,2019,2019/05/25,belmonte,2019,390403.1881421805 -Cerrado,formosa do rio preto,281.23,2019,2019/11/20,formosa do rio preto,2019,4220327.0016454905 -Cerrado,santa rita de cássia,5.93,2019,2019/10/02,santa rita de cássia,2019,694797.0868461728 -Caatinga,santa rita de cássia,12.42,2019,2019/10/28,santa rita de cássia,2019,694797.0868461728 -Cerrado,santa rita de cássia,78.26,2019,2019/11/23,santa rita de cássia,2019,694797.0868461728 -Cerrado,luís eduardo magalhães,15.7,2019,2019/07/10,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,cocos,1345.06,2019,2019/06/20,cocos,2019,959394.147064954 -Caatinga,cocos,19.12,2019,2019/04/03,cocos,2019,959394.147064954 -Cerrado,barreiras,1.06,2019,2019/04/17,barreiras,2019,1568927.0175619423 -Cerrado,baianópolis,28.82,2019,2019/05/10,baianópolis,2019,607436.7982445955 -Cerrado,são desidério,3.83,2019,2019/04/29,são desidério,2019,2024107.6610826247 -Cerrado,baianópolis,12.28,2019,2019/01/06,baianópolis,2019,607436.7982445955 -Cerrado,formosa do rio preto,1.57,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 -Cerrado,cocos,7.27,2020,2020/01/19,cocos,2020,1218387.32458961 -Cerrado,riachão das neves,19.59,2020,2020/02/26,riachão das neves,2020,1085054.2665590644 -Caatinga,barra,9.27,2020,2020/04/01,barra,2020,139778.05993533134 -Cerrado,são desidério,97.17,2020,2020/05/05,são desidério,2020,3091203.197527945 -Cerrado,são desidério,10.88,2020,2020/05/11,são desidério,2020,3091203.197527945 -Mata Atlântica,nilo peçanha,1.55,2020,2020/04/08,nilo peçanha,2020,154625.95725762844 -Mata Atlântica,valença,1.76,2020,2020/04/16,valença,2020,427637.707020998 -Mata Atlântica,itapetinga,42.58,2020,2020/02/12,itapetinga,2020,46135.12845611572 -Mata Atlântica,dário meira,0.59,2020,2020/04/08,dário meira,2020,92504.77269613744 -Cerrado,baianópolis,104.38,2020,2020/05/01,baianópolis,2020,790814.9751247168 -Mata Atlântica,encruzilhada,32.61,2020,2020/05/01,encruzilhada,2020,451620.4507952333 -Caatinga,santa rita de cássia,8.73,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cotegipe,313.13,2020,2020/05/31,cotegipe,2020,559960.0834841728 -Cerrado,formosa do rio preto,219.14,2020,2020/05/31,formosa do rio preto,2020,3073766.4334418774 -Mata Atlântica,itambé,23.34,2020,2020/07/01,itambé,2020,144429.97027254105 -Caatinga,cocos,16.97,2020,2020/07/01,cocos,2020,1218387.32458961 -Cerrado,jaborandi,22.86,2020,2020/08/01,jaborandi,2020,1744004.154955864 -Cerrado,são desidério,4.59,2020,2020/09/01,são desidério,2020,3091203.197527945 -Cerrado,formosa do rio preto,295.66,2020,2020/09/15,formosa do rio preto,2020,3073766.4334418774 -Cerrado,riachão das neves,104.5,2020,2020/10/08,riachão das neves,2020,1085054.2665590644 -Mata Atlântica,guaratinga,0.95,2020,2020/10/09,guaratinga,2020,251656.63093233109 -Caatinga,cotegipe,11.86,2020,2020/11/24,cotegipe,2020,559960.0834841728 -Cerrado,formosa do rio preto,150.41,2020,2020/12/14,formosa do rio preto,2020,3073766.4334418774 -Caatinga,santa rita de cássia,5.55,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,14.84,2020,2020/12/14,baianópolis,2020,790814.9751247168 -Cerrado,santa rita de cássia,1.14,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,3.56,2020,2020/12/01,cotegipe,2020,559960.0834841728 -Mata Atlântica,itagibá,0.87,2021,2021/01/21,itagibá,2021,111453.28504517674 -Cerrado,cocos,9.71,2021,2021/02/01,cocos,2021,1229644.9681953788 -Mata Atlântica,camamu,6.75,2021,2021/02/06,camamu,2021,163548.15982496738 -Caatinga,barra,1.49,2021,2021/02/01,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,0.54,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,cotegipe,1.51,2021,2021/02/01,cotegipe,2021,292547.2605621815 -Cerrado,jaborandi,34.85,2021,2021/03/13,jaborandi,2021,2051920.940728784 -Caatinga,correntina,21.08,2021,2021/03/13,correntina,2021,1585476.3940644264 -Cerrado,formosa do rio preto,38.95,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Cerrado,barreiras,3.87,2021,2021/03/28,barreiras,2021,958306.347179532 -Cerrado,são desidério,837.18,2021,2021/04/23,são desidério,2021,3159579.701361537 -Mata Atlântica,guaratinga,6.28,2021,2021/04/19,guaratinga,2021,171742.56461274624 -Cerrado,formosa do rio preto,58.17,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,6.29,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 -Cerrado,riachão das neves,11.75,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Caatinga,barra,61.82,2021,2021/03/01,barra,2021,79058.81857037544 -Caatinga,cotegipe,111.71,2021,2021/03/01,cotegipe,2021,292547.2605621815 -Cerrado,riachão das neves,214.23,2021,2021/05/10,riachão das neves,2021,761963.2862440944 -Cerrado,cocos,39.26,2021,2021/05/25,cocos,2021,1229644.9681953788 -Caatinga,santa rita de cássia,5.41,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,16.82,2021,2021/06/17,santa rita de cássia,2021,998700.5789114236 -Cerrado,são desidério,3.35,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,barra,1.52,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,6.77,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,9.29,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,0.72,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,0.63,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,1.7,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,1.52,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,1.54,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,cotegipe,10.88,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,jaborandi,1.06,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,correntina,0.91,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,3.65,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,são desidério,2.57,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,jaborandi,4.36,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,são desidério,5.48,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,21.31,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,5.49,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,formosa do rio preto,1.93,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,6.99,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,4.6,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,3.73,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,9.26,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,16.0,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,10.9,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,13.25,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,cocos,4.73,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,jaborandi,19.31,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,santa rita de cássia,7.33,2021,2021/07/18,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,1.79,2021,2021/06/01,cotegipe,2021,292547.2605621815 -Mata Atlântica,encruzilhada,1.6,2021,2021/09/09,encruzilhada,2021,587315.3614428043 -Mata Atlântica,encruzilhada,50.91,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Mata Atlântica,encruzilhada,6.95,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Mata Atlântica,itambé,12.27,2021,2021/11/01,itambé,2021,65263.4872546196 -Mata Atlântica,ibirapitanga,0.94,2021,2021/11/21,ibirapitanga,2021,72436.60405349731 -Cerrado,formosa do rio preto,709.13,2021,2021/12/13,formosa do rio preto,2021,2299737.8741800785 -Caatinga,jequié,3.89,2021,2021/09/01,jequié,2021,163926.43447589874 -Caatinga,santa rita de cássia,1.52,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,13.58,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Caatinga,barra,17.53,2021,2021/10/01,barra,2021,79058.81857037544 -Cerrado,santa rita de cássia,187.67,2021,2021/05/22,santa rita de cássia,2021,998700.5789114236 -Cerrado,cocos,7.75,2021,2021/05/04,cocos,2021,1229644.9681953788 -Cerrado,correntina,3.86,2021,2021/05/30,correntina,2021,1585476.3940644264 -Cerrado,correntina,108.44,2021,2021/07/04,correntina,2021,1585476.3940644264 -Mata Atlântica,encruzilhada,0.73,2022,2022/02/28,encruzilhada,2022,414662.0 -Mata Atlântica,itarantim,66.53,2022,2022/03/31,itarantim,2022,203154.0 -Cerrado,formosa do rio preto,30.59,2022,2022/01/22,formosa do rio preto,2022,2432263.0 -Cerrado,luís eduardo magalhães,272.03,2022,2022/03/01,luís eduardo magalhães,2022,343098.0 -Cerrado,formosa do rio preto,193.5,2022,2022/05/06,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,17.4,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Caatinga,cotegipe,295.91,2022,2022/02/01,cotegipe,2022,297663.0 -Cerrado,riachão das neves,7.44,2022,2022/02/01,riachão das neves,2022,670183.0 -Mata Atlântica,ilhéus,0.46,2022,2022/06/30,ilhéus,2022,209209.0 -Mata Atlântica,camamu,0.35,2022,2022/06/30,camamu,2022,232571.0 -Caatinga,correntina,27.17,2022,2022/03/01,correntina,2022,1473135.0 -Cerrado,baianópolis,5.63,2022,2022/03/01,baianópolis,2022,413632.0 -Cerrado,jaborandi,6.55,2022,2022/03/01,jaborandi,2022,1734316.0 -Cerrado,riachão das neves,13.62,2022,2022/03/01,riachão das neves,2022,670183.0 -Caatinga,jaborandi,54.65,2022,2022/03/01,jaborandi,2022,1734316.0 -Cerrado,riachão das neves,14.77,2022,2022/03/01,riachão das neves,2022,670183.0 -Cerrado,jaborandi,3067.87,2022,2022/04/01,jaborandi,2022,1734316.0 -Caatinga,barra,0.68,2022,2022/04/01,barra,2022,312169.0 -Caatinga,barra,0.96,2022,2022/04/01,barra,2022,312169.0 -Cerrado,santa rita de cássia,208.16,2022,2022/06/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,47.41,2022,2022/09/06,santa rita de cássia,2022,569631.0 -Cerrado,jaborandi,17.75,2022,2022/09/26,jaborandi,2022,1734316.0 -Cerrado,barreiras,201.27,2022,2022/09/26,barreiras,2022,996163.0 -Cerrado,santa rita de cássia,9.99,2019,2019/11/20,santa rita de cássia,2019,694797.0868461728 -Cerrado,santa rita de cássia,3.58,2019,2019/10/02,santa rita de cássia,2019,694797.0868461728 -Cerrado,jaborandi,12.08,2019,2019/11/08,jaborandi,2019,1706967.7386553884 -Mata Atlântica,ibirapitanga,6.17,2019,2019/11/08,ibirapitanga,2019,86205.62920188904 -Cerrado,riachão das neves,22.72,2019,2019/02/04,riachão das neves,2019,580173.0040331781 -Caatinga,santa rita de cássia,42.27,2019,2019/03/31,santa rita de cássia,2019,694797.0868461728 -Cerrado,baianópolis,5.19,2019,2019/06/20,baianópolis,2019,607436.7982445955 -Cerrado,luís eduardo magalhães,292.14,2019,2019/06/08,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,correntina,382.77,2019,2019/01/23,correntina,2019,1545572.943816781 -Cerrado,correntina,353.03,2019,2019/02/15,correntina,2019,1545572.943816781 -Mata Atlântica,ilhéus,4.67,2019,2019/04/06,ilhéus,2019,158872.06799983978 -Caatinga,santa rita de cássia,16.06,2020,2020/05/14,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,130.61,2020,2020/01/31,são desidério,2020,3091203.197527945 -Cerrado,são desidério,7.6,2020,2020/01/31,são desidério,2020,3091203.197527945 -Cerrado,são desidério,3.67,2020,2020/03/29,são desidério,2020,3091203.197527945 -Cerrado,luís eduardo magalhães,79.08,2020,2020/05/05,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,correntina,2.74,2020,2020/01/08,correntina,2020,1060525.6563282013 -Mata Atlântica,valença,1.9,2020,2020/04/08,valença,2020,427637.707020998 -Mata Atlântica,camamu,1.99,2020,2020/02/04,camamu,2020,434741.3974044919 -Mata Atlântica,belmonte,18.9,2020,2020/02/13,belmonte,2020,350558.8480718136 -Mata Atlântica,encruzilhada,56.01,2020,2020/02/11,encruzilhada,2020,451620.4507952333 -Caatinga,santa rita de cássia,46.02,2020,2020/05/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,14.26,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,8.86,2020,2020/06/01,baianópolis,2020,790814.9751247168 -Mata Atlântica,itapetinga,4.19,2020,2020/06/30,itapetinga,2020,46135.12845611572 -Cerrado,cotegipe,538.74,2020,2020/05/23,cotegipe,2020,559960.0834841728 -Cerrado,riachão das neves,713.14,2020,2020/06/20,riachão das neves,2020,1085054.2665590644 -Cerrado,baianópolis,13.63,2020,2020/07/05,baianópolis,2020,790814.9751247168 -Cerrado,jaborandi,50.81,2020,2020/07/16,jaborandi,2020,1744004.154955864 -Cerrado,jaborandi,34.11,2020,2020/07/19,jaborandi,2020,1744004.154955864 -Cerrado,são desidério,12.95,2020,2020/07/01,são desidério,2020,3091203.197527945 -Caatinga,jequié,2.59,2020,2020/07/01,jequié,2020,186265.72844171524 -Cerrado,são desidério,8.4,2020,2020/07/01,são desidério,2020,3091203.197527945 -Cerrado,riachão das neves,19.91,2020,2020/07/01,riachão das neves,2020,1085054.2665590644 -Cerrado,jaborandi,12.39,2020,2020/07/01,jaborandi,2020,1744004.154955864 -Caatinga,cocos,3.29,2020,2020/07/01,cocos,2020,1218387.32458961 -Cerrado,são desidério,2.01,2020,2020/07/01,são desidério,2020,3091203.197527945 -Mata Atlântica,ilhéus,3.85,2020,2020/07/30,ilhéus,2020,191205.86366391185 -Mata Atlântica,camamu,4.37,2020,2020/07/29,camamu,2020,434741.3974044919 -Caatinga,cocos,22.27,2020,2020/09/01,cocos,2020,1218387.32458961 -Mata Atlântica,valença,2.35,2020,2020/09/15,valença,2020,427637.707020998 -Cerrado,baianópolis,5.01,2020,2020/11/24,baianópolis,2020,790814.9751247168 -Cerrado,correntina,60.95,2020,2020/12/14,correntina,2020,1060525.6563282013 -Mata Atlântica,guaratinga,12.77,2020,2020/12/04,guaratinga,2020,251656.63093233109 -Mata Atlântica,itagibá,10.81,2020,2020/12/12,itagibá,2020,72102.08046793938 -Cerrado,cotegipe,1.69,2020,2020/12/01,cotegipe,2020,559960.0834841728 -Caatinga,santa rita de cássia,2.64,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,4.9,2021,2021/01/23,santa rita de cássia,2021,998700.5789114236 -Cerrado,cocos,2.97,2021,2021/02/01,cocos,2021,1229644.9681953788 -Caatinga,barra,1.64,2021,2021/02/01,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,1.97,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,riachão das neves,14.95,2021,2021/02/01,riachão das neves,2021,761963.2862440944 -Caatinga,jaborandi,9.96,2021,2021/03/13,jaborandi,2021,2051920.940728784 -Cerrado,baianópolis,12.49,2021,2021/03/13,baianópolis,2021,1700892.2622466087 -Cerrado,riachão das neves,29.72,2021,2021/03/05,riachão das neves,2021,761963.2862440944 -Caatinga,santa rita de cássia,51.66,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 -Cerrado,cocos,389.01,2021,2021/04/14,cocos,2021,1229644.9681953788 -Mata Atlântica,camamu,2.29,2021,2021/04/27,camamu,2021,163548.15982496738 -Caatinga,santa rita de cássia,14.55,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 -Cerrado,barreiras,6.16,2021,2021/01/01,barreiras,2021,958306.347179532 -Caatinga,cotegipe,11.92,2021,2021/01/01,cotegipe,2021,292547.2605621815 -Cerrado,santa rita de cássia,4.83,2021,2021/03/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,9.06,2021,2021/03/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,jaborandi,22.14,2021,2021/05/13,jaborandi,2021,2051920.940728784 -Cerrado,luís eduardo magalhães,35.75,2021,2021/05/30,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,formosa do rio preto,272.6,2021,2021/05/27,formosa do rio preto,2021,2299737.8741800785 -Caatinga,santa rita de cássia,2.19,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,2.16,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,luís eduardo magalhães,1.92,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,são desidério,0.85,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,4.33,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,santa rita de cássia,0.57,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,1.6,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.14,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,2.74,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,5.24,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,1.62,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,cotegipe,2.08,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,santa rita de cássia,2.16,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,13.44,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,2.15,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,12.43,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,formosa do rio preto,2.73,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,jaborandi,2.11,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,santa rita de cássia,9.69,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,5.76,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,jaborandi,2.9,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Caatinga,santa rita de cássia,0.4,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,60.82,2021,2021/06/01,barra,2021,79058.81857037544 -Cerrado,correntina,5.7,2021,2021/08/02,correntina,2021,1585476.3940644264 -Mata Atlântica,ilhéus,1.54,2021,2021/09/03,ilhéus,2021,131715.1359180212 -Mata Atlântica,ilhéus,11.84,2021,2021/10/04,ilhéus,2021,131715.1359180212 -Caatinga,santa rita de cássia,5.15,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 -Cerrado,são desidério,52.0,2021,2021/11/17,são desidério,2021,3159579.701361537 -Caatinga,cotegipe,4.71,2021,2021/11/18,cotegipe,2021,292547.2605621815 -Caatinga,santa rita de cássia,20.81,2021,2021/12/07,santa rita de cássia,2021,998700.5789114236 -Cerrado,formosa do rio preto,324.81,2021,2021/12/13,formosa do rio preto,2021,2299737.8741800785 -Caatinga,santa rita de cássia,4.22,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,4.66,2021,2021/09/01,barra,2021,79058.81857037544 -Caatinga,barra,1.63,2021,2021/11/01,barra,2021,79058.81857037544 -Cerrado,barreiras,15.65,2021,2021/01/23,barreiras,2021,958306.347179532 -Cerrado,luís eduardo magalhães,349.29,2021,2021/03/28,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,baianópolis,40.28,2021,2021/05/10,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,7.61,2021,2021/07/13,baianópolis,2021,1700892.2622466087 -Mata Atlântica,valença,3.38,2021,2021/06/30,valença,2021,195332.51262283325 -Cerrado,formosa do rio preto,52.47,2021,2021/05/01,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,iguaí,8.15,2022,2022/02/28,iguaí,2022,277970.0 -Cerrado,baianópolis,883.36,2022,2022/01/22,baianópolis,2022,413632.0 -Cerrado,são desidério,155.56,2022,2022/04/25,são desidério,2022,2729422.0 -Cerrado,baianópolis,576.65,2022,2022/06/16,baianópolis,2022,413632.0 -Cerrado,são desidério,73.15,2022,2022/06/13,são desidério,2022,2729422.0 -Cerrado,santa rita de cássia,10.08,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Cerrado,riachão das neves,14.49,2022,2022/03/01,riachão das neves,2022,670183.0 -Cerrado,são desidério,1325.6,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,formosa do rio preto,29.15,2022,2022/08/24,formosa do rio preto,2022,2432263.0 -Caatinga,barra,0.33,2022,2022/04/01,barra,2022,312169.0 -Caatinga,cocos,6.27,2022,2022/05/01,cocos,2022,367625.0 -Mata Atlântica,valença,1.62,2022,2022/07/31,valença,2022,378871.0 -Mata Atlântica,valença,0.78,2022,2022/07/31,valença,2022,378871.0 -Cerrado,luís eduardo magalhães,92.17,2022,2022/09/16,luís eduardo magalhães,2022,343098.0 -Mata Atlântica,ilhéus,2.49,2019,2019/07/03,ilhéus,2019,158872.06799983978 -Cerrado,barreiras,37.88,2019,2019/09/14,barreiras,2019,1568927.0175619423 -Cerrado,formosa do rio preto,0.31,2019,2019/08/28,formosa do rio preto,2019,4220327.0016454905 -Cerrado,riachão das neves,14.78,2019,2019/09/20,riachão das neves,2019,580173.0040331781 -Caatinga,barra,4.3,2019,2019/12/16,barra,2019,226011.0523688793 -Cerrado,santa rita de cássia,9.63,2019,2019/06/02,santa rita de cássia,2019,694797.0868461728 -Cerrado,formosa do rio preto,990.47,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 -Caatinga,santa rita de cássia,72.51,2019,2019/08/25,santa rita de cássia,2019,694797.0868461728 -Cerrado,riachão das neves,25.44,2019,2019/08/08,riachão das neves,2019,580173.0040331781 -Cerrado,barreiras,47.06,2019,2019/02/21,barreiras,2019,1568927.0175619423 -Cerrado,são desidério,4.68,2019,2019/04/17,são desidério,2019,2024107.6610826247 -Cerrado,barreiras,10.65,2019,2019/02/21,barreiras,2019,1568927.0175619423 -Cerrado,são desidério,96.54,2019,2019/04/17,são desidério,2019,2024107.6610826247 -Cerrado,luís eduardo magalhães,233.57,2019,2019/03/16,luís eduardo magalhães,2019,800435.7103590965 -Mata Atlântica,encruzilhada,15.23,2019,2019/01/07,encruzilhada,2019,403895.9177992344 -Mata Atlântica,igrapiúna,29.96,2019,2019/01/08,igrapiúna,2019,257694.0746061802 -Mata Atlântica,belmonte,3.54,2019,2019/01/25,belmonte,2019,390403.1881421805 -Mata Atlântica,dário meira,1.3,2019,2019/01/08,dário meira,2019,94401.96469908953 -Cerrado,são desidério,23.04,2020,2020/04/21,são desidério,2020,3091203.197527945 -Caatinga,santa rita de cássia,9.46,2020,2020/01/31,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,40.77,2020,2020/01/19,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,6.14,2020,2020/01/31,baianópolis,2020,790814.9751247168 -Mata Atlântica,ilhéus,3.3,2020,2020/01/28,ilhéus,2020,191205.86366391185 -Mata Atlântica,iguaí,1.88,2020,2020/01/27,iguaí,2020,127471.2907333374 -Mata Atlântica,encruzilhada,27.83,2020,2020/01/10,encruzilhada,2020,451620.4507952333 -Caatinga,santa rita de cássia,5.48,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,37.57,2020,2020/06/01,cocos,2020,1218387.32458961 -Cerrado,luís eduardo magalhães,9.2,2020,2020/02/01,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,são desidério,333.56,2020,2020/02/01,são desidério,2020,3091203.197527945 -Cerrado,barreiras,44.23,2020,2020/02/01,barreiras,2020,1179766.0970728395 -Caatinga,cotegipe,5.8,2020,2020/02/01,cotegipe,2020,559960.0834841728 -Caatinga,cocos,8.98,2020,2020/06/24,cocos,2020,1218387.32458961 -Cerrado,barreiras,227.45,2020,2020/07/16,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,92.22,2020,2020/07/28,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,16.85,2020,2020/08/29,baianópolis,2020,790814.9751247168 -Caatinga,cocos,20.59,2020,2020/08/01,cocos,2020,1218387.32458961 -Caatinga,santa rita de cássia,3.31,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,27.71,2020,2020/10/23,formosa do rio preto,2020,3073766.4334418774 -Caatinga,santa rita de cássia,21.12,2020,2020/11/09,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,177.81,2020,2020/12/14,formosa do rio preto,2020,3073766.4334418774 -Mata Atlântica,maraú,2.96,2020,2020/12/29,maraú,2020,170126.90513539314 -Cerrado,são desidério,248.69,2021,2021/01/23,são desidério,2021,3159579.701361537 -Cerrado,barreiras,41.55,2021,2021/01/23,barreiras,2021,958306.347179532 -Mata Atlântica,camamu,3.11,2021,2021/01/29,camamu,2021,163548.15982496738 -Mata Atlântica,guaratinga,12.81,2021,2021/01/21,guaratinga,2021,171742.56461274624 -Caatinga,santa rita de cássia,1.18,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,santa rita de cássia,1.05,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,barreiras,28.28,2021,2021/03/22,barreiras,2021,958306.347179532 -Cerrado,formosa do rio preto,19.27,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Cerrado,santa rita de cássia,8.18,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 -Cerrado,jaborandi,9.08,2021,2021/03/28,jaborandi,2021,2051920.940728784 -Cerrado,barreiras,100.23,2021,2021/01/01,barreiras,2021,958306.347179532 -Cerrado,riachão das neves,18.02,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Cerrado,baianópolis,4.76,2021,2021/01/01,baianópolis,2021,1700892.2622466087 -Caatinga,cotegipe,6.17,2021,2021/01/01,cotegipe,2021,292547.2605621815 -Cerrado,são desidério,10.0,2021,2021/01/01,são desidério,2021,3159579.701361537 -Cerrado,cocos,150.17,2021,2021/05/13,cocos,2021,1229644.9681953788 -Caatinga,cotegipe,1.92,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,são desidério,2.91,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,barra,5.3,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,3.36,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,cotegipe,2.15,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,barra,1.2,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,cotegipe,1.04,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,cotegipe,5.74,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,são desidério,4.03,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,correntina,1.56,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,santa rita de cássia,1.87,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,16.2,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,2.67,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,1.66,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,6.03,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,formosa do rio preto,871.51,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,8.37,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,12.06,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,5.11,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cocos,17.16,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,cocos,8.94,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,baianópolis,2.17,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,riachão das neves,17.63,2021,2021/07/01,riachão das neves,2021,761963.2862440944 -Mata Atlântica,itagibá,19.88,2021,2021/07/16,itagibá,2021,111453.28504517674 -Caatinga,jaborandi,5.45,2021,2021/08/02,jaborandi,2021,2051920.940728784 -Mata Atlântica,ilhéus,0.65,2021,2021/08/25,ilhéus,2021,131715.1359180212 -Mata Atlântica,ilhéus,2.17,2021,2021/10/29,ilhéus,2021,131715.1359180212 -Mata Atlântica,encruzilhada,2.52,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Mata Atlântica,encruzilhada,3.7,2021,2021/11/01,encruzilhada,2021,587315.3614428043 -Caatinga,santa rita de cássia,11.78,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,9.4,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,santa rita de cássia,4.86,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,1.41,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,1.02,2021,2021/12/01,barra,2021,79058.81857037544 -Cerrado,baianópolis,110.54,2021,2021/03/13,baianópolis,2021,1700892.2622466087 -Mata Atlântica,iguaí,2.03,2022,2022/02/28,iguaí,2022,277970.0 -Cerrado,santa rita de cássia,29.9,2022,2022/03/09,santa rita de cássia,2022,569631.0 -Cerrado,formosa do rio preto,76.22,2022,2022/03/09,formosa do rio preto,2022,2432263.0 -Cerrado,luís eduardo magalhães,232.76,2022,2022/05/06,luís eduardo magalhães,2022,343098.0 -Mata Atlântica,jequié,7.64,2022,2022/06/30,jequié,2022,498001.0 -Cerrado,correntina,1544.58,2022,2022/04/19,correntina,2022,1473135.0 -Cerrado,riachão das neves,21.92,2022,2022/04/04,riachão das neves,2022,670183.0 -Cerrado,riachão das neves,778.99,2022,2022/04/27,riachão das neves,2022,670183.0 -Cerrado,riachão das neves,33.16,2022,2022/03/01,riachão das neves,2022,670183.0 -Caatinga,barra,5.0,2022,2022/03/01,barra,2022,312169.0 -Caatinga,barra,7.09,2022,2022/03/01,barra,2022,312169.0 -Caatinga,cotegipe,54.03,2022,2022/03/01,cotegipe,2022,297663.0 -Caatinga,jaborandi,7.52,2022,2022/03/01,jaborandi,2022,1734316.0 -Caatinga,cotegipe,36.49,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,são desidério,200.91,2022,2022/08/07,são desidério,2022,2729422.0 -Mata Atlântica,maraú,0.8,2022,2022/07/31,maraú,2022,275953.0 -Mata Atlântica,maraú,5.57,2022,2022/07/31,maraú,2022,275953.0 -Cerrado,santa rita de cássia,4.67,2022,2022/06/01,santa rita de cássia,2022,569631.0 -Cerrado,jaborandi,123.3,2019,2019/11/08,jaborandi,2019,1706967.7386553884 -Cerrado,luís eduardo magalhães,5.39,2019,2019/10/13,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,cocos,42.01,2019,2019/10/16,cocos,2019,959394.147064954 -Cerrado,riachão das neves,30.74,2019,2019/10/28,riachão das neves,2019,580173.0040331781 -Cerrado,jaborandi,229.64,2019,2019/12/30,jaborandi,2019,1706967.7386553884 -Cerrado,baianópolis,0.31,2019,2019/04/29,baianópolis,2019,607436.7982445955 -Cerrado,são desidério,34.17,2019,2019/03/16,são desidério,2019,2024107.6610826247 -Cerrado,são desidério,35.54,2019,2019/05/10,são desidério,2019,2024107.6610826247 -Cerrado,correntina,117.59,2019,2019/05/19,correntina,2019,1545572.943816781 -Cerrado,riachão das neves,20.29,2019,2019/06/02,riachão das neves,2019,580173.0040331781 -Cerrado,jaborandi,405.08,2019,2019/06/11,jaborandi,2019,1706967.7386553884 -Mata Atlântica,camamu,0.93,2019,2019/01/16,camamu,2019,221471.44368362427 -Mata Atlântica,encruzilhada,19.57,2019,2019/04/29,encruzilhada,2019,403895.9177992344 -Mata Atlântica,dário meira,14.97,2019,2019/02/25,dário meira,2019,94401.96469908953 -Cerrado,são desidério,6.87,2020,2020/04/21,são desidério,2020,3091203.197527945 -Cerrado,santa rita de cássia,35.52,2020,2020/01/11,santa rita de cássia,2020,859509.3606863022 -Cerrado,cotegipe,93.42,2020,2020/04/27,cotegipe,2020,559960.0834841728 -Cerrado,santa rita de cássia,124.54,2020,2020/04/27,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,1.66,2020,2020/04/30,correntina,2020,1060525.6563282013 -Mata Atlântica,camamu,17.34,2020,2020/05/02,camamu,2020,434741.3974044919 -Cerrado,correntina,66.15,2020,2020/02/01,correntina,2020,1060525.6563282013 -Cerrado,santa rita de cássia,18.73,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,jaborandi,34.93,2020,2020/06/01,jaborandi,2020,1744004.154955864 -Cerrado,correntina,8.67,2020,2020/02/01,correntina,2020,1060525.6563282013 -Cerrado,formosa do rio preto,72.96,2020,2020/05/31,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,18.78,2020,2020/06/09,formosa do rio preto,2020,3073766.4334418774 -Mata Atlântica,encruzilhada,2.02,2020,2020/06/26,encruzilhada,2020,451620.4507952333 -Cerrado,baianópolis,42.4,2020,2020/07/01,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,4.96,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,7.01,2020,2020/07/01,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,6.89,2020,2020/07/01,baianópolis,2020,790814.9751247168 -Cerrado,correntina,3.57,2020,2020/08/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,11.13,2020,2020/08/01,baianópolis,2020,790814.9751247168 -Caatinga,cocos,19.92,2020,2020/08/01,cocos,2020,1218387.32458961 -Cerrado,correntina,117.51,2020,2020/09/30,correntina,2020,1060525.6563282013 -Caatinga,santa rita de cássia,2.72,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,iguaí,24.66,2020,2020/11/10,iguaí,2020,127471.2907333374 -Cerrado,baianópolis,3.91,2020,2020/11/24,baianópolis,2020,790814.9751247168 -Cerrado,riachão das neves,163.15,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,29.42,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,6.95,2020,2020/12/17,barra,2020,139778.05993533134 -Caatinga,cotegipe,5.1,2020,2020/12/01,cotegipe,2020,559960.0834841728 -Mata Atlântica,ilhéus,2.03,2020,2020/12/29,ilhéus,2020,191205.86366391185 -Cerrado,formosa do rio preto,306.83,2021,2021/01/23,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,valença,6.85,2021,2021/02/14,valença,2021,195332.51262283325 -Caatinga,santa rita de cássia,6.97,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,52.6,2021,2021/03/02,santa rita de cássia,2021,998700.5789114236 -Cerrado,riachão das neves,38.32,2021,2021/03/05,riachão das neves,2021,761963.2862440944 -Mata Atlântica,camamu,1.76,2021,2021/03/02,camamu,2021,163548.15982496738 -Cerrado,formosa do rio preto,317.17,2021,2021/03/25,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,itagibá,29.27,2021,2021/04/27,itagibá,2021,111453.28504517674 -Cerrado,barreiras,8.2,2021,2021/05/04,barreiras,2021,958306.347179532 -Cerrado,santa rita de cássia,40.59,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,são desidério,5.54,2021,2021/01/01,são desidério,2021,3159579.701361537 -Mata Atlântica,ilhéus,6.52,2021,2021/05/22,ilhéus,2021,131715.1359180212 -Cerrado,correntina,3.62,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,são desidério,72.15,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,2.14,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,riachão das neves,14.35,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Caatinga,cotegipe,14.0,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,barra,1.13,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,5.83,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,6.03,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,9.27,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,0.88,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,5.08,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,1.73,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,0.88,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,cotegipe,0.55,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,cotegipe,15.96,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,cotegipe,7.86,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,santa rita de cássia,15.82,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,1.38,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,correntina,3.03,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,3.59,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,santa rita de cássia,1.91,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,6.02,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,3.09,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,formosa do rio preto,13.45,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,0.89,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,4.06,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,0.71,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,1.8,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,3.44,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,3.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cocos,1.76,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,cocos,18.52,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,barreiras,712.86,2021,2021/07/18,barreiras,2021,958306.347179532 -Cerrado,riachão das neves,928.16,2021,2021/07/18,riachão das neves,2021,761963.2862440944 -Cerrado,são desidério,460.72,2021,2021/07/04,são desidério,2021,3159579.701361537 -Cerrado,barreiras,229.72,2021,2021/07/18,barreiras,2021,958306.347179532 -Cerrado,riachão das neves,7.55,2021,2021/06/01,riachão das neves,2021,761963.2862440944 -Caatinga,cotegipe,2.5,2021,2021/06/01,cotegipe,2021,292547.2605621815 -Cerrado,luís eduardo magalhães,11.83,2021,2021/08/05,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,barreiras,4.89,2021,2021/07/01,barreiras,2021,958306.347179532 -Cerrado,santa rita de cássia,23.78,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,encruzilhada,35.28,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Caatinga,santa rita de cássia,1.61,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,6.78,2021,2021/10/01,barra,2021,79058.81857037544 -Cerrado,santa rita de cássia,225.41,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,28.81,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,11.86,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Caatinga,santa rita de cássia,7.92,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,iguaí,1.44,2022,2022/02/28,iguaí,2022,277970.0 -Mata Atlântica,itambé,1.0,2022,2022/02/28,itambé,2022,227632.0 -Mata Atlântica,encruzilhada,58.4,2022,2022/03/31,encruzilhada,2022,414662.0 -Mata Atlântica,itambé,6.05,2022,2022/03/31,itambé,2022,227632.0 -Mata Atlântica,itarantim,2.32,2022,2022/03/31,itarantim,2022,203154.0 -Cerrado,são desidério,1845.38,2022,2022/01/19,são desidério,2022,2729422.0 -Cerrado,são desidério,601.68,2022,2022/01/19,são desidério,2022,2729422.0 -Cerrado,cotegipe,26.62,2022,2022/01/25,cotegipe,2022,297663.0 -Cerrado,jaborandi,33.31,2022,2022/03/27,jaborandi,2022,1734316.0 -Cerrado,formosa do rio preto,323.44,2022,2022/05/29,formosa do rio preto,2022,2432263.0 -Cerrado,luís eduardo magalhães,47.68,2022,2022/05/09,luís eduardo magalhães,2022,343098.0 -Cerrado,santa rita de cássia,2.79,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,2.74,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,baianópolis,17.55,2022,2022/06/16,baianópolis,2022,413632.0 -Cerrado,correntina,47.3,2022,2022/06/16,correntina,2022,1473135.0 -Mata Atlântica,guaratinga,4.02,2022,2022/05/31,guaratinga,2022,243882.0 -Mata Atlântica,valença,0.73,2022,2022/06/30,valença,2022,378871.0 -Caatinga,cotegipe,3.62,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,santa rita de cássia,19.13,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Caatinga,jaborandi,76.4,2022,2022/03/01,jaborandi,2022,1734316.0 -Cerrado,cotegipe,38.95,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,correntina,208.08,2022,2022/07/17,correntina,2022,1473135.0 -Cerrado,riachão das neves,94.42,2022,2022/08/04,riachão das neves,2022,670183.0 -Cerrado,baianópolis,17.18,2022,2022/08/04,baianópolis,2022,413632.0 -Cerrado,santa rita de cássia,3.82,2022,2022/08/12,santa rita de cássia,2022,569631.0 -Cerrado,formosa do rio preto,10.16,2022,2022/08/01,formosa do rio preto,2022,2432263.0 -Cerrado,barreiras,220.56,2022,2022/08/04,barreiras,2022,996163.0 -Mata Atlântica,igrapiúna,0.78,2022,2022/07/31,igrapiúna,2022,210971.0 -Cerrado,riachão das neves,48.36,2022,2022/09/16,riachão das neves,2022,670183.0 -Cerrado,correntina,158.26,2022,2022/09/30,correntina,2022,1473135.0 -Cerrado,santa rita de cássia,249.4,2019,2019/09/03,santa rita de cássia,2019,694797.0868461728 -Cerrado,luís eduardo magalhães,21.24,2019,2019/10/07,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,barreiras,10.33,2019,2019/10/13,barreiras,2019,1568927.0175619423 -Mata Atlântica,itagibá,5.21,2019,2019/11/08,itagibá,2019,121675.55451917648 -Cerrado,formosa do rio preto,247.97,2019,2019/07/07,formosa do rio preto,2019,4220327.0016454905 -Cerrado,barreiras,408.2,2019,2019/02/21,barreiras,2019,1568927.0175619423 -Caatinga,santa rita de cássia,2.45,2019,2019/05/07,santa rita de cássia,2019,694797.0868461728 -Caatinga,santa rita de cássia,11.43,2019,2019/02/21,santa rita de cássia,2019,694797.0868461728 -Cerrado,formosa do rio preto,790.32,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 -Cerrado,baianópolis,13.25,2019,2019/06/20,baianópolis,2019,607436.7982445955 -Cerrado,formosa do rio preto,255.35,2019,2019/03/13,formosa do rio preto,2019,4220327.0016454905 -Cerrado,formosa do rio preto,7.82,2019,2019/01/29,formosa do rio preto,2019,4220327.0016454905 -Cerrado,riachão das neves,182.87,2019,2019/06/20,riachão das neves,2019,580173.0040331781 -Cerrado,formosa do rio preto,889.43,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 -Caatinga,cotegipe,9.94,2019,2019/04/17,cotegipe,2019,331163.8086628318 -Mata Atlântica,ilhéus,1.39,2019,2019/01/25,ilhéus,2019,158872.06799983978 -Cerrado,barreiras,24.48,2020,2020/04/21,barreiras,2020,1179766.0970728395 -Cerrado,cotegipe,285.29,2020,2020/01/11,cotegipe,2020,559960.0834841728 -Cerrado,são desidério,1479.14,2020,2020/04/29,são desidério,2020,3091203.197527945 -Mata Atlântica,ilhéus,14.61,2020,2020/03/16,ilhéus,2020,191205.86366391185 -Mata Atlântica,camamu,0.83,2020,2020/04/24,camamu,2020,434741.3974044919 -Mata Atlântica,dário meira,2.4,2020,2020/01/11,dário meira,2020,92504.77269613744 -Mata Atlântica,itambé,2.44,2020,2020/03/31,itambé,2020,144429.97027254105 -Caatinga,barra,132.94,2020,2020/04/05,barra,2020,139778.05993533134 -Cerrado,cotegipe,5.09,2020,2020/06/01,cotegipe,2020,559960.0834841728 -Caatinga,cotegipe,16.07,2020,2020/06/01,cotegipe,2020,559960.0834841728 -Mata Atlântica,maraú,4.44,2020,2020/06/12,maraú,2020,170126.90513539314 -Mata Atlântica,maraú,5.34,2020,2020/06/12,maraú,2020,170126.90513539314 -Cerrado,luís eduardo magalhães,8.31,2020,2020/05/20,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,correntina,17.83,2020,2020/07/25,correntina,2020,1060525.6563282013 -Caatinga,cotegipe,32.49,2020,2020/07/01,cotegipe,2020,559960.0834841728 -Cerrado,santa rita de cássia,11.23,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,belmonte,0.56,2020,2020/09/24,belmonte,2020,350558.8480718136 -Mata Atlântica,encruzilhada,4.49,2020,2020/09/30,encruzilhada,2020,451620.4507952333 -Caatinga,santa rita de cássia,91.17,2020,2020/11/14,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,22.73,2020,2020/11/09,baianópolis,2020,790814.9751247168 -Mata Atlântica,iguaí,1.2,2020,2020/11/10,iguaí,2020,127471.2907333374 -Caatinga,santa rita de cássia,8.38,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,21.46,2021,2021/01/26,correntina,2021,1585476.3940644264 -Mata Atlântica,ibirapitanga,5.34,2021,2021/02/06,ibirapitanga,2021,72436.60405349731 -Caatinga,santa rita de cássia,1.59,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,1.65,2021,2021/02/01,barra,2021,79058.81857037544 -Mata Atlântica,ibirapitanga,4.48,2021,2021/03/10,ibirapitanga,2021,72436.60405349731 -Cerrado,formosa do rio preto,1326.82,2021,2021/03/22,formosa do rio preto,2021,2299737.8741800785 -Cerrado,cotegipe,6.06,2021,2021/03/25,cotegipe,2021,292547.2605621815 -Mata Atlântica,valença,2.97,2021,2021/04/27,valença,2021,195332.51262283325 -Cerrado,correntina,23.63,2021,2021/05/04,correntina,2021,1585476.3940644264 -Cerrado,formosa do rio preto,23.46,2021,2021/05/04,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,valença,1.79,2021,2021/05/13,valença,2021,195332.51262283325 -Cerrado,santa rita de cássia,5.11,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,1.05,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,correntina,12.02,2020,2020/01/01,correntina,2020,1060525.6563282013 -Caatinga,barra,3.57,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,10.23,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.28,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.38,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,são desidério,2.14,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,0.89,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,jaborandi,0.84,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,formosa do rio preto,16.63,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,5.07,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,riachão das neves,6.63,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Caatinga,santa rita de cássia,1.05,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,jaborandi,4.47,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Caatinga,cotegipe,7.34,2021,2021/05/01,cotegipe,2021,292547.2605621815 -Cerrado,luís eduardo magalhães,20.35,2021,2021/07/01,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,formosa do rio preto,51.55,2021,2021/07/18,formosa do rio preto,2021,2299737.8741800785 -Cerrado,cotegipe,24.46,2021,2021/06/01,cotegipe,2021,292547.2605621815 -Cerrado,santa rita de cássia,124.06,2021,2021/08/28,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,ilhéus,14.56,2021,2021/08/17,ilhéus,2021,131715.1359180212 -Mata Atlântica,camamu,0.94,2021,2021/08/25,camamu,2021,163548.15982496738 -Cerrado,são desidério,176.12,2021,2021/07/01,são desidério,2021,3159579.701361537 -Caatinga,santa rita de cássia,17.63,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,0.97,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,6.6,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,0.38,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,cocos,16.96,2021,2021/12/01,cocos,2021,1229644.9681953788 -Cerrado,luís eduardo magalhães,395.55,2021,2021/04/11,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,formosa do rio preto,22.07,2021,2021/06/02,formosa do rio preto,2021,2299737.8741800785 -Cerrado,jaborandi,29.0,2021,2021/06/25,jaborandi,2021,2051920.940728784 -Cerrado,formosa do rio preto,57.31,2021,2021/07/18,formosa do rio preto,2021,2299737.8741800785 -Cerrado,riachão das neves,24.19,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Caatinga,santa rita de cássia,10.55,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,guaratinga,2.38,2022,2022/02/28,guaratinga,2022,243882.0 -Mata Atlântica,itambé,9.26,2022,2022/03/31,itambé,2022,227632.0 -Cerrado,barreiras,82.44,2022,2022/02/03,barreiras,2022,996163.0 -Cerrado,riachão das neves,499.1,2022,2022/05/06,riachão das neves,2022,670183.0 -Cerrado,santa rita de cássia,136.77,2022,2022/05/06,santa rita de cássia,2022,569631.0 -Mata Atlântica,ilhéus,2.5,2022,2022/06/30,ilhéus,2022,209209.0 -Cerrado,santa rita de cássia,3.89,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Mata Atlântica,maraú,0.49,2022,2022/06/30,maraú,2022,275953.0 -Mata Atlântica,itapetinga,19.31,2022,2022/06/30,itapetinga,2022,285382.0 -Mata Atlântica,ilhéus,1.19,2022,2022/06/30,ilhéus,2022,209209.0 -Cerrado,baianópolis,6.02,2022,2022/03/01,baianópolis,2022,413632.0 -Cerrado,barreiras,2.74,2022,2022/03/01,barreiras,2022,996163.0 -Cerrado,jaborandi,4.79,2022,2022/03/01,jaborandi,2022,1734316.0 -Cerrado,formosa do rio preto,10.56,2022,2022/03/01,formosa do rio preto,2022,2432263.0 -Caatinga,cotegipe,22.06,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,cocos,8.85,2022,2022/03/01,cocos,2022,367625.0 -Cerrado,luís eduardo magalhães,97.19,2022,2022/08/04,luís eduardo magalhães,2022,343098.0 -Cerrado,jaborandi,128.52,2022,2022/08/12,jaborandi,2022,1734316.0 -Caatinga,cocos,12.21,2019,2019/11/11,cocos,2019,959394.147064954 -Cerrado,riachão das neves,26.41,2019,2019/12/07,riachão das neves,2019,580173.0040331781 -Cerrado,baianópolis,21.65,2019,2019/04/26,baianópolis,2019,607436.7982445955 -Cerrado,jaborandi,1102.39,2019,2019/05/01,jaborandi,2019,1706967.7386553884 -Cerrado,são desidério,4.61,2019,2019/04/29,são desidério,2019,2024107.6610826247 -Cerrado,formosa do rio preto,239.22,2019,2019/01/23,formosa do rio preto,2019,4220327.0016454905 -Cerrado,baianópolis,29.47,2019,2019/01/29,baianópolis,2019,607436.7982445955 -Caatinga,cotegipe,17.2,2019,2019/05/07,cotegipe,2019,331163.8086628318 -Cerrado,barreiras,9.92,2019,2019/05/19,barreiras,2019,1568927.0175619423 -Cerrado,santa rita de cássia,129.75,2019,2019/08/02,santa rita de cássia,2019,694797.0868461728 -Cerrado,formosa do rio preto,35.49,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 -Cerrado,baianópolis,71.36,2019,2019/08/02,baianópolis,2019,607436.7982445955 -Caatinga,santa rita de cássia,19.9,2019,2019/06/25,santa rita de cássia,2019,694797.0868461728 -Caatinga,cotegipe,20.74,2019,2019/06/20,cotegipe,2019,331163.8086628318 -Mata Atlântica,dário meira,2.36,2019,2019/04/30,dário meira,2019,94401.96469908953 -Cerrado,jaborandi,2.8,2020,2020/04/30,jaborandi,2020,1744004.154955864 -Cerrado,jaborandi,3.75,2020,2020/04/30,jaborandi,2020,1744004.154955864 -Cerrado,jaborandi,90.98,2020,2020/01/08,jaborandi,2020,1744004.154955864 -Cerrado,riachão das neves,3.41,2020,2020/01/11,riachão das neves,2020,1085054.2665590644 -Cerrado,luís eduardo magalhães,223.0,2020,2020/02/20,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,barreiras,4.45,2020,2020/04/03,barreiras,2020,1179766.0970728395 -Cerrado,são desidério,16.73,2020,2020/05/11,são desidério,2020,3091203.197527945 -Mata Atlântica,ilhéus,4.93,2020,2020/04/08,ilhéus,2020,191205.86366391185 -Cerrado,riachão das neves,67.96,2020,2020/06/01,riachão das neves,2020,1085054.2665590644 -Mata Atlântica,encruzilhada,15.41,2020,2020/06/30,encruzilhada,2020,451620.4507952333 -Mata Atlântica,iguaí,1.46,2020,2020/05/26,iguaí,2020,127471.2907333374 -Mata Atlântica,valença,3.62,2020,2020/06/19,valença,2020,427637.707020998 -Cerrado,formosa do rio preto,456.75,2020,2020/05/25,formosa do rio preto,2020,3073766.4334418774 -Cerrado,riachão das neves,53.36,2020,2020/05/31,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,35.94,2020,2020/07/14,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,29.91,2020,2020/07/14,cotegipe,2020,559960.0834841728 -Cerrado,são desidério,21.59,2020,2020/07/01,são desidério,2020,3091203.197527945 -Caatinga,jaborandi,3.2,2020,2020/07/01,jaborandi,2020,1744004.154955864 -Cerrado,baianópolis,4.39,2020,2020/08/01,baianópolis,2020,790814.9751247168 -Cerrado,santa rita de cássia,66.04,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,9.7,2020,2020/09/01,são desidério,2020,3091203.197527945 -Caatinga,cotegipe,14.75,2020,2020/09/30,cotegipe,2020,559960.0834841728 -Caatinga,santa rita de cássia,13.21,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,11.4,2020,2020/10/26,santa rita de cássia,2020,859509.3606863022 -Caatinga,cocos,5.72,2020,2020/11/24,cocos,2020,1218387.32458961 -Caatinga,santa rita de cássia,13.56,2020,2020/11/29,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,32.45,2020,2020/12/31,baianópolis,2020,790814.9751247168 -Cerrado,barreiras,7.52,2020,2020/12/01,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,16.87,2020,2020/12/01,barreiras,2020,1179766.0970728395 -Cerrado,luís eduardo magalhães,142.4,2021,2021/02/01,luís eduardo magalhães,2021,654262.0002045631 -Mata Atlântica,guaratinga,3.55,2021,2021/02/22,guaratinga,2021,171742.56461274624 -Mata Atlântica,dário meira,29.26,2021,2021/02/01,dário meira,2021,101797.88742160796 -Caatinga,santa rita de cássia,17.62,2021,2021/03/02,santa rita de cássia,2021,998700.5789114236 -Cerrado,jaborandi,477.24,2021,2021/03/02,jaborandi,2021,2051920.940728784 -Cerrado,correntina,4.57,2021,2021/03/13,correntina,2021,1585476.3940644264 -Mata Atlântica,valença,0.43,2021,2021/03/26,valença,2021,195332.51262283325 -Cerrado,luís eduardo magalhães,280.37,2021,2021/03/22,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,luís eduardo magalhães,34.8,2021,2021/03/22,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,são desidério,27.11,2021,2021/03/28,são desidério,2021,3159579.701361537 -Cerrado,correntina,62.7,2021,2021/03/25,correntina,2021,1585476.3940644264 -Mata Atlântica,camamu,1.01,2021,2021/04/28,camamu,2021,163548.15982496738 -Cerrado,barreiras,3.77,2021,2021/03/01,barreiras,2021,958306.347179532 -Cerrado,baianópolis,2.68,2021,2021/03/01,baianópolis,2021,1700892.2622466087 -Cerrado,formosa do rio preto,311.02,2021,2021/05/21,formosa do rio preto,2021,2299737.8741800785 -Caatinga,correntina,13.53,2021,2021/05/30,correntina,2021,1585476.3940644264 -Caatinga,santa rita de cássia,4.45,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,2.29,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,0.74,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.12,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,1.79,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cotegipe,4.9,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,barra,1.17,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,3.75,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,4.19,2020,2020/01/01,correntina,2020,1060525.6563282013 -Caatinga,correntina,0.41,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,santa rita de cássia,3.37,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,4.01,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,6.0,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,barreiras,15.18,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,1.16,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,6.62,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,luís eduardo magalhães,9.41,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,riachão das neves,33.7,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,formosa do rio preto,6.61,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,cocos,2.29,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,santa rita de cássia,9.97,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,1.3,2021,2021/05/01,cotegipe,2021,292547.2605621815 -Cerrado,correntina,96.43,2021,2021/07/04,correntina,2021,1585476.3940644264 -Cerrado,correntina,4.5,2021,2021/06/01,correntina,2021,1585476.3940644264 -Caatinga,santa rita de cássia,19.64,2021,2021/08/13,santa rita de cássia,2021,998700.5789114236 -Cerrado,barreiras,1055.72,2021,2021/07/01,barreiras,2021,958306.347179532 -Cerrado,santa rita de cássia,20.65,2021,2021/09/03,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,itapetinga,13.09,2021,2021/09/01,itapetinga,2021,20727.768303871155 -Mata Atlântica,itapetinga,58.74,2021,2021/09/01,itapetinga,2021,20727.768303871155 -Caatinga,cotegipe,1.59,2021,2021/11/18,cotegipe,2021,292547.2605621815 -Caatinga,barra,2.3,2021,2021/09/01,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,1.19,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,17.15,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Caatinga,barra,9.77,2021,2021/10/01,barra,2021,79058.81857037544 -Caatinga,cocos,20.01,2021,2021/10/01,cocos,2021,1229644.9681953788 -Cerrado,são desidério,337.41,2021,2021/04/11,são desidério,2021,3159579.701361537 -Caatinga,santa rita de cássia,12.35,2021,2021/05/10,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,maraú,3.8,2022,2022/02/28,maraú,2022,275953.0 -Mata Atlântica,itagibá,72.64,2022,2022/03/31,itagibá,2022,288483.0 -Cerrado,barreiras,239.06,2022,2022/01/19,barreiras,2022,996163.0 -Cerrado,santa rita de cássia,7.8,2022,2022/01/11,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,10.19,2022,2022/01/25,santa rita de cássia,2022,569631.0 -Cerrado,luís eduardo magalhães,143.95,2022,2022/02/03,luís eduardo magalhães,2022,343098.0 -Cerrado,correntina,2074.81,2022,2022/03/21,correntina,2022,1473135.0 -Cerrado,são desidério,163.4,2022,2022/03/09,são desidério,2022,2729422.0 -Cerrado,baianópolis,32.71,2022,2022/05/21,baianópolis,2022,413632.0 -Cerrado,santa rita de cássia,12.86,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,barreiras,184.48,2022,2022/06/04,barreiras,2022,996163.0 -Cerrado,correntina,147.75,2022,2022/06/04,correntina,2022,1473135.0 -Cerrado,riachão das neves,297.96,2022,2022/06/04,riachão das neves,2022,670183.0 -Mata Atlântica,camamu,0.37,2022,2022/06/30,camamu,2022,232571.0 -Mata Atlântica,valença,1.02,2022,2022/06/30,valença,2022,378871.0 -Cerrado,são desidério,0.69,2022,2022/03/01,são desidério,2022,2729422.0 -Caatinga,jaborandi,3.1,2022,2022/03/01,jaborandi,2022,1734316.0 -Cerrado,formosa do rio preto,12.24,2022,2022/03/01,formosa do rio preto,2022,2432263.0 -Cerrado,cocos,12.16,2022,2022/03/01,cocos,2022,367625.0 -Caatinga,barra,3.54,2022,2022/03/01,barra,2022,312169.0 -Cerrado,cocos,10.71,2022,2022/03/01,cocos,2022,367625.0 -Cerrado,formosa do rio preto,175.86,2022,2022/08/12,formosa do rio preto,2022,2432263.0 -Cerrado,correntina,48.41,2022,2022/08/04,correntina,2022,1473135.0 -Caatinga,barra,1.43,2022,2022/04/01,barra,2022,312169.0 -Cerrado,jaborandi,5.35,2022,2022/05/01,jaborandi,2022,1734316.0 -Mata Atlântica,itapetinga,19.22,2022,2022/07/31,itapetinga,2022,285382.0 -Mata Atlântica,ilhéus,5.27,2019,2019/10/16,ilhéus,2019,158872.06799983978 -Cerrado,cocos,13.78,2019,2019/10/13,cocos,2019,959394.147064954 -Mata Atlântica,ibirapitanga,3.23,2019,2019/11/08,ibirapitanga,2019,86205.62920188904 -Cerrado,santa rita de cássia,15.13,2019,2019/11/23,santa rita de cássia,2019,694797.0868461728 -Cerrado,são desidério,213.66,2019,2019/12/07,são desidério,2019,2024107.6610826247 -Cerrado,são desidério,23.24,2019,2019/12/16,são desidério,2019,2024107.6610826247 -Mata Atlântica,iguaí,15.41,2019,2019/12/02,iguaí,2019,82227.19198989868 -Cerrado,barreiras,86.72,2019,2019/07/04,barreiras,2019,1568927.0175619423 -Mata Atlântica,igrapiúna,2.14,2019,2019/06/09,igrapiúna,2019,257694.0746061802 -Caatinga,santa rita de cássia,8.82,2019,2019/01/17,santa rita de cássia,2019,694797.0868461728 -Caatinga,cocos,6.47,2019,2019/05/19,cocos,2019,959394.147064954 -Cerrado,baianópolis,3.91,2019,2019/08/02,baianópolis,2019,607436.7982445955 -Cerrado,santa rita de cássia,86.38,2019,2019/06/25,santa rita de cássia,2019,694797.0868461728 -Cerrado,baianópolis,54.08,2019,2019/05/10,baianópolis,2019,607436.7982445955 -Cerrado,formosa do rio preto,40.93,2019,2019/07/10,formosa do rio preto,2019,4220327.0016454905 -Cerrado,formosa do rio preto,94.18,2019,2019/01/17,formosa do rio preto,2019,4220327.0016454905 -Mata Atlântica,igrapiúna,5.25,2019,2019/01/08,igrapiúna,2019,257694.0746061802 -Mata Atlântica,guaratinga,3.43,2019,2019/08/28,guaratinga,2019,211708.01093423367 -Cerrado,são desidério,2124.54,2020,2020/01/08,são desidério,2020,3091203.197527945 -Cerrado,cocos,170.87,2020,2020/04/04,cocos,2020,1218387.32458961 -Cerrado,correntina,17.42,2020,2020/01/19,correntina,2020,1060525.6563282013 -Cerrado,riachão das neves,119.36,2020,2020/05/02,riachão das neves,2020,1085054.2665590644 -Cerrado,cotegipe,230.99,2020,2020/05/11,cotegipe,2020,559960.0834841728 -Mata Atlântica,belmonte,1.14,2020,2020/02/29,belmonte,2020,350558.8480718136 -Mata Atlântica,valença,2.02,2020,2020/04/16,valença,2020,427637.707020998 -Mata Atlântica,igrapiúna,20.05,2020,2020/04/16,igrapiúna,2020,378236.5840551853 -Cerrado,cocos,16.95,2020,2020/06/01,cocos,2020,1218387.32458961 -Mata Atlântica,belmonte,5.12,2020,2020/05/27,belmonte,2020,350558.8480718136 -Caatinga,santa rita de cássia,51.41,2020,2020/05/23,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,73.2,2020,2020/06/06,são desidério,2020,3091203.197527945 -Caatinga,jaborandi,3.47,2020,2020/07/01,jaborandi,2020,1744004.154955864 -Cerrado,baianópolis,6.41,2020,2020/07/01,baianópolis,2020,790814.9751247168 -Cerrado,jaborandi,3.6,2020,2020/07/01,jaborandi,2020,1744004.154955864 -Caatinga,correntina,5.03,2020,2020/08/01,correntina,2020,1060525.6563282013 -Mata Atlântica,camamu,0.66,2020,2020/09/08,camamu,2020,434741.3974044919 -Cerrado,barreiras,84.46,2020,2020/09/21,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,3.73,2020,2020/09/01,riachão das neves,2020,1085054.2665590644 -Caatinga,jaborandi,5.27,2020,2020/09/15,jaborandi,2020,1744004.154955864 -Mata Atlântica,maraú,6.67,2020,2020/10/09,maraú,2020,170126.90513539314 -Cerrado,formosa do rio preto,9.35,2020,2020/11/09,formosa do rio preto,2020,3073766.4334418774 -Cerrado,luís eduardo magalhães,176.74,2020,2020/12/14,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,luís eduardo magalhães,18.77,2020,2020/12/14,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,baianópolis,4.7,2020,2020/12/14,baianópolis,2020,790814.9751247168 -Mata Atlântica,valença,2.52,2020,2020/12/12,valença,2020,427637.707020998 -Cerrado,santa rita de cássia,4.24,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,16.91,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,jaborandi,42.6,2021,2021/01/20,jaborandi,2021,2051920.940728784 -Mata Atlântica,valença,3.04,2021,2021/01/05,valença,2021,195332.51262283325 -Caatinga,santa rita de cássia,4.17,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,correntina,251.31,2021,2021/03/25,correntina,2021,1585476.3940644264 -Mata Atlântica,igrapiúna,2.61,2021,2021/04/27,igrapiúna,2021,148621.67436516285 -Mata Atlântica,guaratinga,0.31,2021,2021/04/19,guaratinga,2021,171742.56461274624 -Cerrado,formosa do rio preto,21.3,2021,2021/05/04,formosa do rio preto,2021,2299737.8741800785 -Cerrado,correntina,0.58,2021,2021/01/01,correntina,2021,1585476.3940644264 -Cerrado,baianópolis,1.19,2021,2021/01/01,baianópolis,2021,1700892.2622466087 -Caatinga,santa rita de cássia,0.39,2021,2021/03/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,6.82,2021,2021/03/01,barra,2021,79058.81857037544 -Caatinga,barra,74.92,2021,2021/03/01,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,13.92,2021,2021/05/10,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,2.33,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,3.78,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,11.15,2021,2021/06/17,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,belmonte,6.09,2021,2021/05/30,belmonte,2021,331485.0170983076 -Caatinga,cotegipe,0.91,2021,2021/05/30,cotegipe,2021,292547.2605621815 -Caatinga,barra,0.88,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,cocos,2.09,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,barreiras,29.74,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,são desidério,1.4,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,santa rita de cássia,5.08,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,1.0,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,2.31,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,1.38,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,3.77,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,6.0,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,barreiras,15.46,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,formosa do rio preto,1.73,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,17.74,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,4.29,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cocos,3.88,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,baianópolis,67.64,2021,2021/05/01,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,30.37,2021,2021/07/27,baianópolis,2021,1700892.2622466087 -Cerrado,jaborandi,1.13,2021,2021/06/01,jaborandi,2021,2051920.940728784 -Cerrado,riachão das neves,66.38,2021,2021/06/01,riachão das neves,2021,761963.2862440944 -Cerrado,jaborandi,92.92,2021,2021/08/05,jaborandi,2021,2051920.940728784 -Cerrado,barreiras,8.17,2021,2021/09/26,barreiras,2021,958306.347179532 -Cerrado,luís eduardo magalhães,7.27,2021,2021/09/26,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,luís eduardo magalhães,13.09,2021,2021/09/26,luís eduardo magalhães,2021,654262.0002045631 -Caatinga,cotegipe,43.4,2021,2021/10/02,cotegipe,2021,292547.2605621815 -Cerrado,luís eduardo magalhães,621.88,2021,2021/10/13,luís eduardo magalhães,2021,654262.0002045631 -Mata Atlântica,encruzilhada,37.48,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Mata Atlântica,itapetinga,4.26,2021,2021/09/01,itapetinga,2021,20727.768303871155 -Mata Atlântica,encruzilhada,20.38,2021,2021/11/01,encruzilhada,2021,587315.3614428043 -Cerrado,santa rita de cássia,36.36,2021,2021/11/20,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,19.61,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,1.47,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,177.98,2021,2021/10/01,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,5.79,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,formosa do rio preto,14.29,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,28.93,2021,2021/05/01,formosa do rio preto,2021,2299737.8741800785 -Cerrado,cocos,4.77,2021,2021/08/01,cocos,2021,1229644.9681953788 -Mata Atlântica,itambé,8.57,2022,2022/02/28,itambé,2022,227632.0 -Cerrado,riachão das neves,419.67,2022,2022/05/06,riachão das neves,2022,670183.0 -Cerrado,formosa do rio preto,13.03,2022,2022/05/29,formosa do rio preto,2022,2432263.0 -Cerrado,barreiras,86.98,2022,2022/05/06,barreiras,2022,996163.0 -Cerrado,são desidério,1152.42,2022,2022/04/07,são desidério,2022,2729422.0 -Cerrado,jaborandi,25.7,2022,2022/04/25,jaborandi,2022,1734316.0 -Cerrado,jaborandi,15.37,2022,2022/04/25,jaborandi,2022,1734316.0 -Cerrado,são desidério,1626.19,2022,2022/04/10,são desidério,2022,2729422.0 -Cerrado,santa rita de cássia,5.15,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Caatinga,cotegipe,6.97,2022,2022/02/01,cotegipe,2022,297663.0 -Cerrado,baianópolis,142.81,2022,2022/06/16,baianópolis,2022,413632.0 -Mata Atlântica,ilhéus,0.49,2022,2022/06/30,ilhéus,2022,209209.0 -Mata Atlântica,igrapiúna,0.72,2022,2022/06/30,igrapiúna,2022,210971.0 -Caatinga,cotegipe,0.77,2022,2022/03/01,cotegipe,2022,297663.0 -Caatinga,barra,43.61,2022,2022/03/01,barra,2022,312169.0 -Cerrado,riachão das neves,30.41,2022,2022/08/09,riachão das neves,2022,670183.0 -Cerrado,baianópolis,51.49,2022,2022/08/02,baianópolis,2022,413632.0 -Caatinga,barra,0.77,2022,2022/05/01,barra,2022,312169.0 -Cerrado,santa rita de cássia,4.41,2022,2022/06/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,13.87,2019,2019/06/20,santa rita de cássia,2019,694797.0868461728 -Cerrado,formosa do rio preto,89.61,2019,2019/09/20,formosa do rio preto,2019,4220327.0016454905 -Caatinga,cotegipe,5.8,2019,2019/12/07,cotegipe,2019,331163.8086628318 -Cerrado,cotegipe,10.12,2019,2019/04/23,cotegipe,2019,331163.8086628318 -Cerrado,luís eduardo magalhães,417.37,2019,2019/01/23,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,formosa do rio preto,148.63,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 -Cerrado,são desidério,599.9,2019,2019/04/23,são desidério,2019,2024107.6610826247 -Caatinga,cotegipe,9.17,2019,2019/03/31,cotegipe,2019,331163.8086628318 -Cerrado,são desidério,14.24,2019,2019/05/04,são desidério,2019,2024107.6610826247 -Cerrado,baianópolis,3.09,2019,2019/08/02,baianópolis,2019,607436.7982445955 -Cerrado,barreiras,18.16,2019,2019/05/19,barreiras,2019,1568927.0175619423 -Cerrado,santa rita de cássia,17.34,2019,2019/06/20,santa rita de cássia,2019,694797.0868461728 -Cerrado,são desidério,41.05,2019,2019/06/08,são desidério,2019,2024107.6610826247 -Mata Atlântica,jequié,4.29,2019,2019/02/25,jequié,2019,249169.2120203972 -Mata Atlântica,valença,1.11,2019,2019/01/08,valença,2019,247673.75340151787 -Cerrado,cotegipe,1309.16,2020,2020/01/11,cotegipe,2020,559960.0834841728 -Caatinga,cotegipe,9.85,2020,2020/01/11,cotegipe,2020,559960.0834841728 -Cerrado,barreiras,12.15,2020,2020/02/26,barreiras,2020,1179766.0970728395 -Mata Atlântica,ilhéus,4.71,2020,2020/04/01,ilhéus,2020,191205.86366391185 -Mata Atlântica,belmonte,3.34,2020,2020/02/12,belmonte,2020,350558.8480718136 -Cerrado,baianópolis,10.25,2020,2020/05/01,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,8.82,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,129.05,2020,2020/02/01,são desidério,2020,3091203.197527945 -Mata Atlântica,itagibá,5.53,2020,2020/06/30,itagibá,2020,72102.08046793938 -Mata Atlântica,iguaí,4.55,2020,2020/06/30,iguaí,2020,127471.2907333374 -Cerrado,luís eduardo magalhães,48.04,2020,2020/05/20,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,barreiras,153.03,2020,2020/05/23,barreiras,2020,1179766.0970728395 -Caatinga,santa rita de cássia,6.88,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,5.29,2020,2020/07/01,cocos,2020,1218387.32458961 -Cerrado,jaborandi,7.2,2020,2020/08/01,jaborandi,2020,1744004.154955864 -Cerrado,jaborandi,13.45,2020,2020/09/01,jaborandi,2020,1744004.154955864 -Cerrado,cocos,435.94,2020,2020/09/24,cocos,2020,1218387.32458961 -Mata Atlântica,valença,4.9,2020,2020/10/17,valença,2020,427637.707020998 -Cerrado,baianópolis,7.18,2020,2020/11/09,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,8.93,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,10.25,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,7.04,2020,2020/12/17,riachão das neves,2020,1085054.2665590644 -Caatinga,santa rita de cássia,7.64,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,belmonte,1.51,2020,2020/12/13,belmonte,2020,350558.8480718136 -Mata Atlântica,encruzilhada,16.78,2020,2020/12/12,encruzilhada,2020,451620.4507952333 -Cerrado,baianópolis,340.0,2020,2020/12/31,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,17.37,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,ilhéus,1.02,2020,2020/12/29,ilhéus,2020,191205.86366391185 -Cerrado,riachão das neves,39.67,2021,2021/01/09,riachão das neves,2021,761963.2862440944 -Mata Atlântica,nilo peçanha,5.66,2021,2021/01/21,nilo peçanha,2021,59568.41939795017 -Mata Atlântica,nilo peçanha,15.57,2021,2021/02/14,nilo peçanha,2021,59568.41939795017 -Mata Atlântica,valença,0.94,2021,2021/02/06,valença,2021,195332.51262283325 -Mata Atlântica,dário meira,3.4,2021,2021/02/22,dário meira,2021,101797.88742160796 -Cerrado,baianópolis,1134.59,2021,2021/03/05,baianópolis,2021,1700892.2622466087 -Mata Atlântica,valença,0.42,2021,2021/03/26,valença,2021,195332.51262283325 -Cerrado,são desidério,16.23,2021,2021/03/28,são desidério,2021,3159579.701361537 -Cerrado,cocos,1680.4,2021,2021/03/19,cocos,2021,1229644.9681953788 -Cerrado,correntina,10.55,2021,2021/03/28,correntina,2021,1585476.3940644264 -Cerrado,formosa do rio preto,610.17,2021,2021/04/05,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,belmonte,4.63,2021,2021/04/28,belmonte,2021,331485.0170983076 -Cerrado,riachão das neves,1.95,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Caatinga,cotegipe,2.8,2021,2021/01/01,cotegipe,2021,292547.2605621815 -Cerrado,riachão das neves,15.32,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Caatinga,santa rita de cássia,43.84,2021,2021/05/22,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,iguaí,6.13,2021,2021/05/21,iguaí,2021,155962.6907043457 -Cerrado,santa rita de cássia,4.03,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,correntina,34.68,2021,2021/04/01,correntina,2021,1585476.3940644264 -Cerrado,riachão das neves,214.94,2021,2021/04/01,riachão das neves,2021,761963.2862440944 -Caatinga,santa rita de cássia,4.72,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,baianópolis,1.62,2021,2021/05/30,baianópolis,2021,1700892.2622466087 -Cerrado,são desidério,4.46,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,correntina,2.6,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,são desidério,3.26,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,barra,1.03,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.86,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,2.22,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.94,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,0.79,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.82,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,2.77,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,0.5,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,0.88,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,4.21,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,4.48,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,santa rita de cássia,0.83,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,3.93,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,15.08,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,correntina,8.62,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,2.57,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,riachão das neves,12.77,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,formosa do rio preto,7.06,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,7.9,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,3.11,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,1.62,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,23.67,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,formosa do rio preto,14.59,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,2.59,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,cocos,36.79,2020,2020/01/01,cocos,2020,1218387.32458961 -Caatinga,cotegipe,2.97,2021,2021/05/01,cotegipe,2021,292547.2605621815 -Mata Atlântica,nilo peçanha,1.21,2021,2021/07/16,nilo peçanha,2021,59568.41939795017 -Cerrado,cotegipe,24.67,2021,2021/06/01,cotegipe,2021,292547.2605621815 -Caatinga,cotegipe,61.8,2021,2021/08/05,cotegipe,2021,292547.2605621815 -Mata Atlântica,ibirapitanga,7.35,2021,2021/08/17,ibirapitanga,2021,72436.60405349731 -Cerrado,jaborandi,112.09,2021,2021/10/25,jaborandi,2021,2051920.940728784 -Mata Atlântica,encruzilhada,7.11,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Mata Atlântica,encruzilhada,360.49,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Cerrado,riachão das neves,17.92,2021,2021/09/01,riachão das neves,2021,761963.2862440944 -Cerrado,riachão das neves,13.05,2021,2021/09/01,riachão das neves,2021,761963.2862440944 -Caatinga,santa rita de cássia,2.98,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,50.77,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,4.09,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,7.5,2021,2021/11/01,cotegipe,2021,292547.2605621815 -Cerrado,riachão das neves,53.11,2021,2021/11/01,riachão das neves,2021,761963.2862440944 -Cerrado,santa rita de cássia,7.28,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,barreiras,32.05,2021,2021/01/23,barreiras,2021,958306.347179532 -Cerrado,formosa do rio preto,42.45,2021,2021/07/18,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,valença,2.99,2021,2021/04/27,valença,2021,195332.51262283325 -Caatinga,barra,10.89,2021,2021/12/01,barra,2021,79058.81857037544 -Cerrado,formosa do rio preto,2647.19,2022,2022/01/19,formosa do rio preto,2022,2432263.0 -Cerrado,jaborandi,339.7,2022,2022/01/22,jaborandi,2022,1734316.0 -Cerrado,formosa do rio preto,74.41,2022,2022/01/22,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,29.15,2022,2022/05/06,formosa do rio preto,2022,2432263.0 -Mata Atlântica,maraú,8.79,2022,2022/03/31,maraú,2022,275953.0 -Cerrado,correntina,182.32,2022,2022/04/07,correntina,2022,1473135.0 -Cerrado,são desidério,129.73,2022,2022/04/30,são desidério,2022,2729422.0 -Cerrado,formosa do rio preto,162.86,2022,2022/06/07,formosa do rio preto,2022,2432263.0 -Mata Atlântica,ilhéus,0.71,2022,2022/06/30,ilhéus,2022,209209.0 -Mata Atlântica,belmonte,0.72,2022,2022/06/30,belmonte,2022,354868.0 -Cerrado,barreiras,10.25,2022,2022/03/01,barreiras,2022,996163.0 -Caatinga,cotegipe,10.37,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,santa rita de cássia,206.25,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Cerrado,baianópolis,14.01,2022,2022/08/04,baianópolis,2022,413632.0 -Cerrado,formosa do rio preto,233.69,2022,2022/08/04,formosa do rio preto,2022,2432263.0 -Cerrado,baianópolis,39.14,2022,2022/08/02,baianópolis,2022,413632.0 -Mata Atlântica,valença,4.82,2022,2022/07/31,valença,2022,378871.0 -Cerrado,formosa do rio preto,286.07,2022,2022/09/03,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,401.99,2019,2019/10/25,formosa do rio preto,2019,4220327.0016454905 -Cerrado,cotegipe,114.31,2019,2019/11/05,cotegipe,2019,331163.8086628318 -Mata Atlântica,encruzilhada,23.27,2019,2019/11/23,encruzilhada,2019,403895.9177992344 -Cerrado,formosa do rio preto,9.05,2019,2019/12/16,formosa do rio preto,2019,4220327.0016454905 -Cerrado,formosa do rio preto,4.79,2019,2019/12/16,formosa do rio preto,2019,4220327.0016454905 -Cerrado,santa rita de cássia,30.11,2019,2019/05/22,santa rita de cássia,2019,694797.0868461728 -Cerrado,formosa do rio preto,55.98,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 -Cerrado,formosa do rio preto,321.01,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 -Cerrado,formosa do rio preto,46.15,2019,2019/07/27,formosa do rio preto,2019,4220327.0016454905 -Cerrado,baianópolis,11.45,2019,2019/08/02,baianópolis,2019,607436.7982445955 -Caatinga,santa rita de cássia,57.65,2019,2019/08/02,santa rita de cássia,2019,694797.0868461728 -Cerrado,baianópolis,10.47,2019,2019/06/20,baianópolis,2019,607436.7982445955 -Cerrado,formosa do rio preto,1.51,2019,2019/02/21,formosa do rio preto,2019,4220327.0016454905 -Cerrado,riachão das neves,14.93,2019,2019/04/26,riachão das neves,2019,580173.0040331781 -Cerrado,formosa do rio preto,426.1,2019,2019/08/31,formosa do rio preto,2019,4220327.0016454905 -Cerrado,riachão das neves,273.7,2019,2019/01/17,riachão das neves,2019,580173.0040331781 -Cerrado,barreiras,196.07,2019,2019/07/04,barreiras,2019,1568927.0175619423 -Mata Atlântica,iguaí,1.75,2019,2019/05/24,iguaí,2019,82227.19198989868 -Mata Atlântica,iguaí,1.57,2019,2019/03/29,iguaí,2019,82227.19198989868 -Mata Atlântica,jequié,8.94,2019,2019/04/06,jequié,2019,249169.2120203972 -Mata Atlântica,camamu,0.68,2019,2019/03/29,camamu,2019,221471.44368362427 -Mata Atlântica,igrapiúna,1.78,2019,2019/05/24,igrapiúna,2019,257694.0746061802 -Mata Atlântica,belmonte,4.08,2019,2019/04/15,belmonte,2019,390403.1881421805 -Cerrado,barreiras,21.52,2020,2020/04/03,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,15.21,2020,2020/02/03,riachão das neves,2020,1085054.2665590644 -Cerrado,baianópolis,41.39,2020,2020/05/05,baianópolis,2020,790814.9751247168 -Mata Atlântica,igrapiúna,9.25,2020,2020/02/12,igrapiúna,2020,378236.5840551853 -Cerrado,baianópolis,142.19,2020,2020/05/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,3.84,2020,2020/05/01,baianópolis,2020,790814.9751247168 -Cerrado,riachão das neves,5.06,2020,2020/06/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,15.89,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,10.48,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,16.2,2020,2020/06/01,cocos,2020,1218387.32458961 -Cerrado,correntina,8.11,2020,2020/06/01,correntina,2020,1060525.6563282013 -Cerrado,são desidério,127.66,2020,2020/02/01,são desidério,2020,3091203.197527945 -Cerrado,barreiras,21.09,2020,2020/07/01,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,28.55,2020,2020/07/01,barreiras,2020,1179766.0970728395 -Cerrado,baianópolis,15.85,2020,2020/08/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,168.35,2020,2020/09/01,baianópolis,2020,790814.9751247168 -Cerrado,santa rita de cássia,7.19,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,jaborandi,4.29,2020,2020/09/01,jaborandi,2020,1744004.154955864 -Cerrado,cotegipe,2.05,2020,2020/09/01,cotegipe,2020,559960.0834841728 -Cerrado,barreiras,12.14,2020,2020/09/01,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,12.91,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,5.26,2020,2020/09/07,cotegipe,2020,559960.0834841728 -Caatinga,jaborandi,6.04,2020,2020/09/15,jaborandi,2020,1744004.154955864 -Mata Atlântica,ilhéus,3.09,2020,2020/09/15,ilhéus,2020,191205.86366391185 -Cerrado,formosa do rio preto,23.45,2020,2020/10/23,formosa do rio preto,2020,3073766.4334418774 -Caatinga,santa rita de cássia,12.91,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,27.0,2020,2020/11/01,barreiras,2020,1179766.0970728395 -Mata Atlântica,belmonte,4.67,2020,2020/12/13,belmonte,2020,350558.8480718136 -Cerrado,santa rita de cássia,6.11,2021,2021/01/23,santa rita de cássia,2021,998700.5789114236 -Cerrado,luís eduardo magalhães,77.08,2021,2021/01/23,luís eduardo magalhães,2021,654262.0002045631 -Caatinga,santa rita de cássia,14.52,2021,2021/02/10,santa rita de cássia,2021,998700.5789114236 -Caatinga,jaborandi,5.39,2021,2021/02/01,jaborandi,2021,2051920.940728784 -Caatinga,barra,12.15,2021,2021/02/01,barra,2021,79058.81857037544 -Cerrado,formosa do rio preto,21.36,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Cerrado,correntina,1675.57,2021,2021/03/25,correntina,2021,1585476.3940644264 -Caatinga,cotegipe,10.97,2021,2021/03/22,cotegipe,2021,292547.2605621815 -Caatinga,santa rita de cássia,9.38,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,1.49,2021,2021/01/01,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,2.93,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,baianópolis,3.46,2021,2021/03/01,baianópolis,2021,1700892.2622466087 -Mata Atlântica,itagibá,15.31,2021,2021/05/21,itagibá,2021,111453.28504517674 -Caatinga,santa rita de cássia,14.7,2021,2021/05/25,santa rita de cássia,2021,998700.5789114236 -Cerrado,são desidério,24.96,2021,2021/04/01,são desidério,2021,3159579.701361537 -Cerrado,barreiras,1.44,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,são desidério,2.67,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,barra,2.54,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,cotegipe,0.59,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,barra,0.19,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,18.44,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,27.19,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,15.58,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,correntina,0.48,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,correntina,1.28,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,santa rita de cássia,1.63,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,3.5,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,5.25,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,2.98,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,3.92,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,4.97,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,5.98,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,16.71,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,12.59,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,7.5,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,21.56,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,cocos,6.24,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,cocos,0.15,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,barreiras,173.69,2021,2021/05/01,barreiras,2021,958306.347179532 -Cerrado,luís eduardo magalhães,825.56,2021,2021/07/01,luís eduardo magalhães,2021,654262.0002045631 -Mata Atlântica,itarantim,12.15,2021,2021/07/16,itarantim,2021,10405.33336520195 -Cerrado,formosa do rio preto,17.78,2021,2021/08/13,formosa do rio preto,2021,2299737.8741800785 -Caatinga,barra,4.94,2021,2021/08/01,barra,2021,79058.81857037544 -Caatinga,barra,20.66,2021,2021/08/01,barra,2021,79058.81857037544 -Caatinga,cotegipe,4.6,2021,2021/11/18,cotegipe,2021,292547.2605621815 -Cerrado,barreiras,133.26,2021,2021/12/13,barreiras,2021,958306.347179532 -Cerrado,formosa do rio preto,415.33,2021,2021/12/13,formosa do rio preto,2021,2299737.8741800785 -Caatinga,santa rita de cássia,6.73,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,56.72,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,12.65,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Cerrado,baianópolis,23.89,2021,2021/11/01,baianópolis,2021,1700892.2622466087 -Cerrado,cocos,25.34,2021,2021/01/20,cocos,2021,1229644.9681953788 -Cerrado,luís eduardo magalhães,87.72,2021,2021/02/01,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,formosa do rio preto,6.78,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,iguaí,3.0,2022,2022/03/31,iguaí,2022,277970.0 -Mata Atlântica,dário meira,0.69,2022,2022/03/31,dário meira,2022,217077.0 -Cerrado,são desidério,175.94,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,são desidério,88.01,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,riachão das neves,36.29,2022,2022/05/18,riachão das neves,2022,670183.0 -Cerrado,correntina,93.58,2022,2022/04/30,correntina,2022,1473135.0 -Cerrado,riachão das neves,114.11,2022,2022/02/01,riachão das neves,2022,670183.0 -Cerrado,santa rita de cássia,14.1,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,42.41,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,434.09,2022,2022/06/07,santa rita de cássia,2022,569631.0 -Mata Atlântica,itagibá,22.62,2022,2022/06/30,itagibá,2022,288483.0 -Mata Atlântica,maraú,1.1,2022,2022/06/30,maraú,2022,275953.0 -Cerrado,correntina,6.97,2022,2022/03/01,correntina,2022,1473135.0 -Cerrado,são desidério,1.04,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,formosa do rio preto,10.89,2022,2022/03/01,formosa do rio preto,2022,2432263.0 -Cerrado,barreiras,831.76,2022,2022/08/02,barreiras,2022,996163.0 -Cerrado,formosa do rio preto,428.29,2022,2022/08/04,formosa do rio preto,2022,2432263.0 -Cerrado,baianópolis,11.11,2022,2022/04/01,baianópolis,2022,413632.0 -Caatinga,correntina,12.29,2022,2022/04/01,correntina,2022,1473135.0 -Cerrado,são desidério,198.85,2022,2022/09/06,são desidério,2022,2729422.0 -Cerrado,são desidério,177.29,2022,2022/09/04,são desidério,2022,2729422.0 -Cerrado,barreiras,191.57,2019,2019/06/08,barreiras,2019,1568927.0175619423 -Mata Atlântica,encruzilhada,18.16,2019,2019/06/16,encruzilhada,2019,403895.9177992344 -Mata Atlântica,igrapiúna,1.21,2019,2019/06/09,igrapiúna,2019,257694.0746061802 -Mata Atlântica,belmonte,25.92,2019,2019/04/14,belmonte,2019,390403.1881421805 -Cerrado,riachão das neves,3.41,2019,2019/09/20,riachão das neves,2019,580173.0040331781 -Caatinga,santa rita de cássia,2.27,2019,2019/11/11,santa rita de cássia,2019,694797.0868461728 -Mata Atlântica,belmonte,27.48,2019,2019/11/09,belmonte,2019,390403.1881421805 -Cerrado,formosa do rio preto,134.4,2019,2019/12/16,formosa do rio preto,2019,4220327.0016454905 -Cerrado,cotegipe,3.06,2019,2019/05/13,cotegipe,2019,331163.8086628318 -Cerrado,baianópolis,12.58,2019,2019/11/05,baianópolis,2019,607436.7982445955 -Mata Atlântica,jequié,2.68,2019,2019/02/25,jequié,2019,249169.2120203972 -Cerrado,são desidério,21.26,2019,2019/01/29,são desidério,2019,2024107.6610826247 -Cerrado,barreiras,359.4,2019,2019/05/07,barreiras,2019,1568927.0175619423 -Cerrado,são desidério,5.99,2019,2019/04/17,são desidério,2019,2024107.6610826247 -Cerrado,cocos,13.36,2019,2019/04/03,cocos,2019,959394.147064954 -Cerrado,santa rita de cássia,54.0,2019,2019/08/02,santa rita de cássia,2019,694797.0868461728 -Mata Atlântica,camamu,10.59,2019,2019/03/29,camamu,2019,221471.44368362427 -Mata Atlântica,ilhéus,1.75,2019,2019/03/29,ilhéus,2019,158872.06799983978 -Mata Atlântica,guaratinga,1.36,2019,2019/02/25,guaratinga,2019,211708.01093423367 -Cerrado,riachão das neves,24.84,2020,2020/04/12,riachão das neves,2020,1085054.2665590644 -Caatinga,correntina,17.88,2020,2020/04/21,correntina,2020,1060525.6563282013 -Cerrado,são desidério,3.23,2020,2020/04/21,são desidério,2020,3091203.197527945 -Cerrado,luís eduardo magalhães,920.13,2020,2020/04/21,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,são desidério,67.3,2020,2020/01/31,são desidério,2020,3091203.197527945 -Cerrado,cocos,7.44,2020,2020/02/26,cocos,2020,1218387.32458961 -Cerrado,luís eduardo magalhães,523.75,2020,2020/05/05,luís eduardo magalhães,2020,1523413.1056941748 -Mata Atlântica,nilo peçanha,2.76,2020,2020/04/08,nilo peçanha,2020,154625.95725762844 -Mata Atlântica,encruzilhada,2.54,2020,2020/01/10,encruzilhada,2020,451620.4507952333 -Cerrado,baianópolis,13.7,2020,2020/05/01,baianópolis,2020,790814.9751247168 -Cerrado,correntina,247.35,2020,2020/05/28,correntina,2020,1060525.6563282013 -Cerrado,barreiras,8.52,2020,2020/06/20,barreiras,2020,1179766.0970728395 -Cerrado,formosa do rio preto,105.51,2020,2020/07/25,formosa do rio preto,2020,3073766.4334418774 -Caatinga,cotegipe,9.73,2020,2020/07/01,cotegipe,2020,559960.0834841728 -Caatinga,santa rita de cássia,148.31,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,43.76,2020,2020/08/01,baianópolis,2020,790814.9751247168 -Caatinga,barra,53.07,2020,2020/09/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,11.6,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,7.18,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,26.95,2021,2021/01/29,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,16.51,2021,2021/01/29,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,encruzilhada,7.87,2021,2021/01/28,encruzilhada,2021,587315.3614428043 -Caatinga,cotegipe,3.62,2021,2021/03/22,cotegipe,2021,292547.2605621815 -Cerrado,são desidério,381.51,2021,2021/05/04,são desidério,2021,3159579.701361537 -Cerrado,santa rita de cássia,12.3,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 -Cerrado,formosa do rio preto,2.2,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 -Cerrado,baianópolis,3.81,2021,2021/01/01,baianópolis,2021,1700892.2622466087 -Caatinga,santa rita de cássia,7.67,2021,2021/03/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,luís eduardo magalhães,0.88,2021,2021/03/01,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,baianópolis,420.73,2021,2021/05/16,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,50.71,2021,2021/05/10,baianópolis,2021,1700892.2622466087 -Caatinga,santa rita de cássia,5.35,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,0.87,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,5.28,2021,2021/05/30,cotegipe,2021,292547.2605621815 -Caatinga,jaborandi,1.69,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,formosa do rio preto,26.79,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,são desidério,7.62,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,75.39,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,luís eduardo magalhães,7.4,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 -Caatinga,santa rita de cássia,4.3,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,2.7,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,4.99,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,cotegipe,12.95,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,são desidério,1.07,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,2.21,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,0.75,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,formosa do rio preto,15.33,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,riachão das neves,11.41,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,barreiras,0.35,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,luís eduardo magalhães,0.74,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,formosa do rio preto,2.99,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,riachão das neves,12.72,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,13.3,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,55.54,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,6.18,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,cocos,2.01,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,baianópolis,68.51,2021,2021/07/21,baianópolis,2021,1700892.2622466087 -Cerrado,santa rita de cássia,0.79,2021,2021/06/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,jaborandi,1.01,2021,2021/06/01,jaborandi,2021,2051920.940728784 -Cerrado,santa rita de cássia,169.65,2021,2021/09/26,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,29.25,2021,2021/10/02,cotegipe,2021,292547.2605621815 -Cerrado,formosa do rio preto,330.05,2021,2021/10/16,formosa do rio preto,2021,2299737.8741800785 -Cerrado,jaborandi,3.8,2021,2021/08/01,jaborandi,2021,2051920.940728784 -Mata Atlântica,encruzilhada,19.66,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Mata Atlântica,encruzilhada,2.01,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Cerrado,riachão das neves,41.2,2021,2021/11/20,riachão das neves,2021,761963.2862440944 -Cerrado,riachão das neves,19.3,2021,2021/09/01,riachão das neves,2021,761963.2862440944 -Caatinga,cocos,23.93,2021,2021/10/01,cocos,2021,1229644.9681953788 -Cerrado,cocos,62.8,2021,2021/11/01,cocos,2021,1229644.9681953788 -Cerrado,santa rita de cássia,88.31,2021,2021/05/10,santa rita de cássia,2021,998700.5789114236 -Cerrado,baianópolis,107.16,2021,2021/06/02,baianópolis,2021,1700892.2622466087 -Caatinga,jaborandi,29.62,2021,2021/07/21,jaborandi,2021,2051920.940728784 -Cerrado,barreiras,70.11,2022,2022/05/09,barreiras,2022,996163.0 -Cerrado,são desidério,147.86,2022,2022/04/04,são desidério,2022,2729422.0 -Cerrado,riachão das neves,15.19,2022,2022/02/01,riachão das neves,2022,670183.0 -Caatinga,barra,1.26,2022,2022/02/01,barra,2022,312169.0 -Cerrado,são desidério,15.78,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,riachão das neves,8.51,2022,2022/03/01,riachão das neves,2022,670183.0 -Mata Atlântica,ibirapitanga,3.17,2022,2022/07/31,ibirapitanga,2022,292758.0 -Cerrado,santa rita de cássia,12.1,2022,2022/06/01,santa rita de cássia,2022,569631.0 -Cerrado,jaborandi,111.66,2019,2019/11/14,jaborandi,2019,1706967.7386553884 -Cerrado,cocos,261.27,2019,2019/10/16,cocos,2019,959394.147064954 -Cerrado,jaborandi,22.44,2019,2019/11/08,jaborandi,2019,1706967.7386553884 -Cerrado,jaborandi,10.04,2019,2019/11/11,jaborandi,2019,1706967.7386553884 -Cerrado,são desidério,226.2,2019,2019/12/14,são desidério,2019,2024107.6610826247 -Cerrado,santa rita de cássia,9.95,2019,2019/12/16,santa rita de cássia,2019,694797.0868461728 -Cerrado,barreiras,20.32,2019,2019/05/10,barreiras,2019,1568927.0175619423 -Cerrado,correntina,835.83,2019,2019/03/09,correntina,2019,1545572.943816781 -Cerrado,luís eduardo magalhães,42.13,2019,2019/05/10,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,barreiras,179.78,2019,2019/04/23,barreiras,2019,1568927.0175619423 -Cerrado,formosa do rio preto,11.79,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 -Cerrado,formosa do rio preto,13.05,2019,2019/03/02,formosa do rio preto,2019,4220327.0016454905 -Cerrado,santa rita de cássia,53.86,2019,2019/05/13,santa rita de cássia,2019,694797.0868461728 -Cerrado,santa rita de cássia,120.66,2019,2019/05/25,santa rita de cássia,2019,694797.0868461728 -Cerrado,são desidério,11.7,2019,2019/03/16,são desidério,2019,2024107.6610826247 -Mata Atlântica,nilo peçanha,3.62,2019,2019/03/29,nilo peçanha,2019,90276.49283427 -Mata Atlântica,valença,3.81,2019,2019/04/30,valença,2019,247673.75340151787 -Cerrado,luís eduardo magalhães,900.81,2020,2020/04/12,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,luís eduardo magalhães,741.18,2020,2020/04/12,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,luís eduardo magalhães,12.33,2020,2020/01/31,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,barreiras,211.76,2020,2020/03/29,barreiras,2020,1179766.0970728395 -Cerrado,correntina,116.42,2020,2020/05/11,correntina,2020,1060525.6563282013 -Mata Atlântica,ilhéus,1.21,2020,2020/01/28,ilhéus,2020,191205.86366391185 -Mata Atlântica,camamu,7.51,2020,2020/01/28,camamu,2020,434741.3974044919 -Mata Atlântica,ibirapitanga,0.98,2020,2020/04/16,ibirapitanga,2020,296362.889919281 -Mata Atlântica,iguaí,1.32,2020,2020/04/08,iguaí,2020,127471.2907333374 -Mata Atlântica,encruzilhada,8.81,2020,2020/02/12,encruzilhada,2020,451620.4507952333 -Cerrado,santa rita de cássia,9.01,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,9.23,2020,2020/06/01,cocos,2020,1218387.32458961 -Cerrado,cocos,9.12,2020,2020/06/01,cocos,2020,1218387.32458961 -Cerrado,cocos,3.43,2020,2020/06/01,cocos,2020,1218387.32458961 -Cerrado,santa rita de cássia,6.64,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,83.52,2020,2020/02/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,64.05,2020,2020/07/28,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,7.58,2020,2020/07/01,são desidério,2020,3091203.197527945 -Caatinga,santa rita de cássia,18.17,2020,2020/08/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,8.42,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,ilhéus,2.07,2020,2020/09/08,ilhéus,2020,191205.86366391185 -Cerrado,cocos,4.44,2020,2020/10/01,cocos,2020,1218387.32458961 -Caatinga,santa rita de cássia,2.63,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,4.52,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,7.41,2020,2020/11/01,baianópolis,2020,790814.9751247168 -Cerrado,formosa do rio preto,422.66,2020,2020/12/14,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,9.81,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,9.53,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,valença,4.76,2021,2021/02/06,valença,2021,195332.51262283325 -Cerrado,formosa do rio preto,7.43,2021,2021/02/01,formosa do rio preto,2021,2299737.8741800785 -Cerrado,jaborandi,11.52,2021,2021/03/13,jaborandi,2021,2051920.940728784 -Caatinga,santa rita de cássia,8.23,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 -Cerrado,correntina,144.44,2021,2021/04/14,correntina,2021,1585476.3940644264 -Mata Atlântica,igrapiúna,2.06,2021,2021/04/27,igrapiúna,2021,148621.67436516285 -Cerrado,jaborandi,627.72,2021,2021/05/04,jaborandi,2021,2051920.940728784 -Cerrado,santa rita de cássia,16.52,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 -Cerrado,santa rita de cássia,92.67,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,valença,4.56,2021,2021/05/13,valença,2021,195332.51262283325 -Mata Atlântica,ilhéus,3.91,2021,2021/05/13,ilhéus,2021,131715.1359180212 -Caatinga,barra,1.32,2021,2021/01/01,barra,2021,79058.81857037544 -Cerrado,riachão das neves,1035.72,2021,2021/03/01,riachão das neves,2021,761963.2862440944 -Caatinga,barra,1.25,2021,2021/03/01,barra,2021,79058.81857037544 -Cerrado,formosa do rio preto,1709.23,2021,2021/05/19,formosa do rio preto,2021,2299737.8741800785 -Caatinga,santa rita de cássia,4.26,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,correntina,745.12,2021,2021/06/17,correntina,2021,1585476.3940644264 -Mata Atlântica,belmonte,2.64,2021,2021/05/30,belmonte,2021,331485.0170983076 -Mata Atlântica,ibicuí,1.95,2021,2021/05/30,ibicuí,2021,27800.69570922852 -Caatinga,barra,0.28,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,cotegipe,1.58,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,santa rita de cássia,6.47,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,1.88,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,5.22,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,2.64,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,jaborandi,5.04,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,correntina,1.1,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,correntina,9.11,2020,2020/01/01,correntina,2020,1060525.6563282013 -Caatinga,correntina,0.69,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,2.86,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,3.51,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,4.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,20.86,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,6.28,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,barreiras,3.04,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,5.77,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,riachão das neves,16.15,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,formosa do rio preto,2.21,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,2.0,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,0.51,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,16.53,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,0.81,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,correntina,53.06,2021,2021/07/04,correntina,2021,1585476.3940644264 -Cerrado,baianópolis,103.08,2021,2021/06/01,baianópolis,2021,1700892.2622466087 -Cerrado,cotegipe,18.29,2021,2021/06/01,cotegipe,2021,292547.2605621815 -Mata Atlântica,ibirapitanga,8.17,2021,2021/08/17,ibirapitanga,2021,72436.60405349731 -Cerrado,cocos,58.26,2021,2021/09/11,cocos,2021,1229644.9681953788 -Cerrado,correntina,200.51,2021,2021/09/20,correntina,2021,1585476.3940644264 -Caatinga,santa rita de cássia,1.76,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,encruzilhada,4.28,2021,2021/09/01,encruzilhada,2021,587315.3614428043 -Caatinga,santa rita de cássia,8.35,2021,2021/11/17,santa rita de cássia,2021,998700.5789114236 -Cerrado,riachão das neves,241.66,2021,2021/12/13,riachão das neves,2021,761963.2862440944 -Caatinga,santa rita de cássia,5.94,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,2.13,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,12.56,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,cotegipe,212.93,2021,2021/03/05,cotegipe,2021,292547.2605621815 -Cerrado,baianópolis,9.04,2021,2021/03/13,baianópolis,2021,1700892.2622466087 -Cerrado,são desidério,28.18,2021,2021/05/04,são desidério,2021,3159579.701361537 -Cerrado,formosa do rio preto,37.9,2021,2021/07/07,formosa do rio preto,2021,2299737.8741800785 -Cerrado,santa rita de cássia,38.44,2021,2021/06/01,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,encruzilhada,1.53,2022,2022/02/28,encruzilhada,2022,414662.0 -Cerrado,santa rita de cássia,249.28,2022,2022/01/25,santa rita de cássia,2022,569631.0 -Cerrado,correntina,580.44,2022,2022/01/22,correntina,2022,1473135.0 -Cerrado,formosa do rio preto,22.34,2022,2022/01/25,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,37.39,2022,2022/01/25,santa rita de cássia,2022,569631.0 -Cerrado,riachão das neves,930.62,2022,2022/03/09,riachão das neves,2022,670183.0 -Cerrado,formosa do rio preto,373.0,2022,2022/05/09,formosa do rio preto,2022,2432263.0 -Cerrado,barreiras,289.89,2022,2022/04/04,barreiras,2022,996163.0 -Cerrado,riachão das neves,19.97,2022,2022/02/01,riachão das neves,2022,670183.0 -Cerrado,santa rita de cássia,12.66,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Mata Atlântica,encruzilhada,2.83,2022,2022/05/31,encruzilhada,2022,414662.0 -Mata Atlântica,valença,0.66,2022,2022/06/30,valença,2022,378871.0 -Mata Atlântica,itapetinga,6.03,2022,2022/06/30,itapetinga,2022,285382.0 -Cerrado,riachão das neves,10.73,2022,2022/03/01,riachão das neves,2022,670183.0 -Cerrado,riachão das neves,64.32,2022,2022/03/01,riachão das neves,2022,670183.0 -Cerrado,barreiras,3.04,2022,2022/03/01,barreiras,2022,996163.0 -Cerrado,são desidério,271.56,2022,2022/03/01,são desidério,2022,2729422.0 -Caatinga,jaborandi,17.06,2019,2019/10/28,jaborandi,2019,1706967.7386553884 -Mata Atlântica,belmonte,8.62,2019,2019/11/08,belmonte,2019,390403.1881421805 -Cerrado,cotegipe,531.73,2019,2019/11/23,cotegipe,2019,331163.8086628318 -Caatinga,santa rita de cássia,6.97,2019,2019/12/16,santa rita de cássia,2019,694797.0868461728 -Cerrado,barreiras,40.64,2019,2019/05/19,barreiras,2019,1568927.0175619423 -Cerrado,correntina,598.95,2019,2019/06/13,correntina,2019,1545572.943816781 -Caatinga,santa rita de cássia,22.67,2019,2019/06/20,santa rita de cássia,2019,694797.0868461728 -Cerrado,cocos,12.15,2019,2019/07/10,cocos,2019,959394.147064954 -Cerrado,luís eduardo magalhães,7.38,2019,2019/02/21,luís eduardo magalhães,2019,800435.7103590965 -Caatinga,santa rita de cássia,4.47,2019,2019/03/31,santa rita de cássia,2019,694797.0868461728 -Cerrado,barreiras,18.83,2019,2019/01/06,barreiras,2019,1568927.0175619423 -Cerrado,formosa do rio preto,741.04,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 -Cerrado,correntina,664.73,2019,2019/04/23,correntina,2019,1545572.943816781 -Cerrado,jaborandi,19.6,2019,2019/05/07,jaborandi,2019,1706967.7386553884 -Cerrado,barreiras,2.65,2019,2019/02/24,barreiras,2019,1568927.0175619423 -Cerrado,santa rita de cássia,0.37,2019,2019/02/13,santa rita de cássia,2019,694797.0868461728 -Cerrado,formosa do rio preto,40.85,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 -Cerrado,cocos,124.54,2019,2019/06/20,cocos,2019,959394.147064954 -Cerrado,luís eduardo magalhães,8.0,2019,2019/05/10,luís eduardo magalhães,2019,800435.7103590965 -Mata Atlântica,jequié,16.18,2019,2019/04/06,jequié,2019,249169.2120203972 -Cerrado,luís eduardo magalhães,83.28,2020,2020/01/11,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,são desidério,462.88,2020,2020/05/11,são desidério,2020,3091203.197527945 -Cerrado,correntina,5.99,2020,2020/01/08,correntina,2020,1060525.6563282013 -Mata Atlântica,ilhéus,0.57,2020,2020/01/12,ilhéus,2020,191205.86366391185 -Mata Atlântica,camamu,1.68,2020,2020/04/16,camamu,2020,434741.3974044919 -Mata Atlântica,valença,1.85,2020,2020/04/16,valença,2020,427637.707020998 -Cerrado,baianópolis,11.6,2020,2020/05/01,baianópolis,2020,790814.9751247168 -Cerrado,santa rita de cássia,10.23,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,55.76,2020,2020/05/25,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,379.49,2020,2020/06/09,barreiras,2020,1179766.0970728395 -Caatinga,correntina,1.92,2020,2020/07/01,correntina,2020,1060525.6563282013 -Cerrado,santa rita de cássia,4.64,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,2.71,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,2.45,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,8.93,2020,2020/08/01,cocos,2020,1218387.32458961 -Cerrado,correntina,3.67,2020,2020/09/01,correntina,2020,1060525.6563282013 -Mata Atlântica,iguaí,5.51,2020,2020/09/01,iguaí,2020,127471.2907333374 -Caatinga,santa rita de cássia,4.27,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,17.76,2020,2020/10/01,correntina,2020,1060525.6563282013 -Cerrado,santa rita de cássia,27.41,2020,2020/11/29,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,52.77,2020,2020/12/17,cotegipe,2020,559960.0834841728 -Mata Atlântica,ibirapitanga,1.21,2020,2020/12/12,ibirapitanga,2020,296362.889919281 -Caatinga,cotegipe,7.34,2020,2020/12/01,cotegipe,2020,559960.0834841728 -Mata Atlântica,guaratinga,2.14,2021,2021/02/22,guaratinga,2021,171742.56461274624 -Cerrado,cotegipe,30.84,2021,2021/03/05,cotegipe,2021,292547.2605621815 -Caatinga,santa rita de cássia,5.62,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 -Cerrado,formosa do rio preto,146.8,2021,2021/03/25,formosa do rio preto,2021,2299737.8741800785 -Cerrado,cotegipe,2.23,2021,2021/01/01,cotegipe,2021,292547.2605621815 -Cerrado,barreiras,1.83,2021,2021/03/01,barreiras,2021,958306.347179532 -Cerrado,baianópolis,24.23,2021,2021/05/10,baianópolis,2021,1700892.2622466087 -Cerrado,cocos,4.31,2021,2021/04/01,cocos,2021,1229644.9681953788 -Caatinga,barra,1.19,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,cotegipe,1.61,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,barreiras,5.28,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,são desidério,2.08,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,3.35,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,16.95,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,são desidério,1.19,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,5.98,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,barra,0.91,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,baianópolis,1.0,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,6.9,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,3.94,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,santa rita de cássia,1.21,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,5.93,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,5.1,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Caatinga,santa rita de cássia,3.11,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,2.47,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,9.08,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,4.97,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cocos,1.61,2020,2020/01/01,cocos,2020,1218387.32458961 -Caatinga,cocos,0.61,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,barreiras,77.2,2021,2021/05/01,barreiras,2021,958306.347179532 -Caatinga,santa rita de cássia,256.61,2021,2021/07/07,santa rita de cássia,2021,998700.5789114236 -Cerrado,baianópolis,1253.39,2021,2021/06/01,baianópolis,2021,1700892.2622466087 -Cerrado,barreiras,2.71,2021,2021/08/02,barreiras,2021,958306.347179532 -Cerrado,são desidério,10.54,2021,2021/07/01,são desidério,2021,3159579.701361537 -Mata Atlântica,iguaí,6.34,2021,2021/09/18,iguaí,2021,155962.6907043457 -Cerrado,cotegipe,13.01,2021,2021/11/01,cotegipe,2021,292547.2605621815 -Cerrado,cotegipe,15.74,2021,2021/12/01,cotegipe,2021,292547.2605621815 -Cerrado,são desidério,323.11,2021,2021/01/09,são desidério,2021,3159579.701361537 -Cerrado,são desidério,21.85,2021,2021/03/28,são desidério,2021,3159579.701361537 -Caatinga,santa rita de cássia,29.34,2021,2021/05/10,santa rita de cássia,2021,998700.5789114236 -Cerrado,riachão das neves,32.84,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Mata Atlântica,encruzilhada,3.39,2022,2022/01/31,encruzilhada,2022,414662.0 -Mata Atlântica,iguaí,6.75,2022,2022/02/28,iguaí,2022,277970.0 -Mata Atlântica,encruzilhada,5.21,2022,2022/02/28,encruzilhada,2022,414662.0 -Cerrado,são desidério,103.59,2022,2022/01/19,são desidério,2022,2729422.0 -Cerrado,jaborandi,869.73,2022,2022/03/27,jaborandi,2022,1734316.0 -Cerrado,são desidério,153.3,2022,2022/01/01,são desidério,2022,2729422.0 -Cerrado,correntina,735.63,2022,2022/05/03,correntina,2022,1473135.0 -Cerrado,barreiras,30.58,2022,2022/05/18,barreiras,2022,996163.0 -Cerrado,jaborandi,17.06,2022,2022/04/25,jaborandi,2022,1734316.0 -Cerrado,santa rita de cássia,2.68,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Mata Atlântica,maraú,0.49,2022,2022/06/30,maraú,2022,275953.0 -Mata Atlântica,camamu,0.36,2022,2022/06/30,camamu,2022,232571.0 -Mata Atlântica,camamu,0.31,2022,2022/06/30,camamu,2022,232571.0 -Cerrado,são desidério,1606.64,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,baianópolis,12.44,2022,2022/03/01,baianópolis,2022,413632.0 -Cerrado,barreiras,10.6,2022,2022/03/01,barreiras,2022,996163.0 -Cerrado,santa rita de cássia,2.39,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Cerrado,são desidério,6.09,2022,2022/03/01,são desidério,2022,2729422.0 -Caatinga,barra,6.35,2022,2022/03/01,barra,2022,312169.0 -Cerrado,cocos,127.25,2022,2022/08/01,cocos,2022,367625.0 -Caatinga,barra,0.81,2022,2022/04/01,barra,2022,312169.0 -Caatinga,jaborandi,2.62,2022,2022/04/01,jaborandi,2022,1734316.0 -Caatinga,barra,2.23,2022,2022/04/01,barra,2022,312169.0 -Mata Atlântica,ilhéus,4.59,2022,2022/07/31,ilhéus,2022,209209.0 -Cerrado,formosa do rio preto,7.22,2022,2022/09/21,formosa do rio preto,2022,2432263.0 -Cerrado,jaborandi,645.02,2019,2019/08/28,jaborandi,2019,1706967.7386553884 -Cerrado,baianópolis,22.99,2019,2019/11/20,baianópolis,2019,607436.7982445955 -Cerrado,riachão das neves,3.86,2019,2019/09/20,riachão das neves,2019,580173.0040331781 -Cerrado,correntina,11.95,2019,2019/11/11,correntina,2019,1545572.943816781 -Mata Atlântica,ilhéus,2.09,2019,2019/11/17,ilhéus,2019,158872.06799983978 -Mata Atlântica,itagibá,7.65,2019,2019/11/08,itagibá,2019,121675.55451917648 -Cerrado,luís eduardo magalhães,8.11,2019,2019/12/16,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,barreiras,8.66,2019,2019/02/24,barreiras,2019,1568927.0175619423 -Cerrado,formosa do rio preto,409.9,2019,2019/01/29,formosa do rio preto,2019,4220327.0016454905 -Cerrado,formosa do rio preto,15.82,2019,2019/01/09,formosa do rio preto,2019,4220327.0016454905 -Cerrado,barreiras,0.34,2019,2019/03/31,barreiras,2019,1568927.0175619423 -Cerrado,cotegipe,55.24,2019,2019/03/05,cotegipe,2019,331163.8086628318 -Cerrado,riachão das neves,330.45,2019,2019/05/22,riachão das neves,2019,580173.0040331781 -Cerrado,formosa do rio preto,197.54,2019,2019/05/27,formosa do rio preto,2019,4220327.0016454905 -Cerrado,formosa do rio preto,13.05,2019,2019/01/17,formosa do rio preto,2019,4220327.0016454905 -Caatinga,santa rita de cássia,6.14,2019,2019/04/23,santa rita de cássia,2019,694797.0868461728 -Caatinga,barra,26.94,2019,2019/08/08,barra,2019,226011.0523688793 -Mata Atlântica,belmonte,7.09,2019,2019/04/15,belmonte,2019,390403.1881421805 -Mata Atlântica,itambé,5.39,2019,2019/04/06,itambé,2019,100107.73387336732 -Mata Atlântica,valença,4.82,2019,2019/03/13,valença,2019,247673.75340151787 -Cerrado,correntina,113.3,2020,2020/01/11,correntina,2020,1060525.6563282013 -Cerrado,correntina,25.66,2020,2020/01/19,correntina,2020,1060525.6563282013 -Mata Atlântica,camamu,2.19,2020,2020/04/24,camamu,2020,434741.3974044919 -Mata Atlântica,ibirapitanga,5.23,2020,2020/04/24,ibirapitanga,2020,296362.889919281 -Mata Atlântica,itagibá,0.67,2020,2020/04/08,itagibá,2020,72102.08046793938 -Caatinga,jequié,4.56,2020,2020/02/11,jequié,2020,186265.72844171524 -Cerrado,baianópolis,42.0,2020,2020/05/01,baianópolis,2020,790814.9751247168 -Caatinga,cotegipe,76.55,2020,2020/06/01,cotegipe,2020,559960.0834841728 -Caatinga,cotegipe,5.43,2020,2020/02/01,cotegipe,2020,559960.0834841728 -Mata Atlântica,encruzilhada,22.08,2020,2020/06/30,encruzilhada,2020,451620.4507952333 -Cerrado,são desidério,5.07,2020,2020/06/06,são desidério,2020,3091203.197527945 -Cerrado,são desidério,298.01,2020,2020/07/22,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,3.9,2020,2020/07/01,baianópolis,2020,790814.9751247168 -Cerrado,cocos,6.05,2020,2020/07/01,cocos,2020,1218387.32458961 -Cerrado,barreiras,34.18,2020,2020/08/01,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,4.35,2020,2020/09/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,1.34,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,4.35,2020,2020/09/30,baianópolis,2020,790814.9751247168 -Mata Atlântica,iguaí,35.42,2020,2020/10/09,iguaí,2020,127471.2907333374 -Mata Atlântica,camamu,0.67,2020,2020/10/25,camamu,2020,434741.3974044919 -Cerrado,baianópolis,13.17,2020,2020/11/24,baianópolis,2020,790814.9751247168 -Caatinga,jaborandi,5.04,2020,2020/12/01,jaborandi,2020,1744004.154955864 -Mata Atlântica,ilhéus,1.67,2020,2020/12/29,ilhéus,2020,191205.86366391185 -Mata Atlântica,nilo peçanha,1.39,2021,2021/02/14,nilo peçanha,2021,59568.41939795017 -Mata Atlântica,nilo peçanha,1.23,2021,2021/02/14,nilo peçanha,2021,59568.41939795017 -Cerrado,correntina,11.69,2021,2021/03/13,correntina,2021,1585476.3940644264 -Cerrado,riachão das neves,3.18,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Cerrado,formosa do rio preto,6.06,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 -Cerrado,são desidério,2.51,2021,2021/01/01,são desidério,2021,3159579.701361537 -Cerrado,baianópolis,4.12,2021,2021/03/01,baianópolis,2021,1700892.2622466087 -Caatinga,cotegipe,14.21,2021,2021/05/22,cotegipe,2021,292547.2605621815 -Caatinga,santa rita de cássia,5.12,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,belmonte,6.55,2021,2021/06/14,belmonte,2021,331485.0170983076 -Mata Atlântica,encruzilhada,12.2,2021,2021/05/30,encruzilhada,2021,587315.3614428043 -Cerrado,luís eduardo magalhães,1.46,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,correntina,12.24,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,jaborandi,1.27,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,barreiras,5.42,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,5.69,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,5.33,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,4.63,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,2.3,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,3.42,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,10.96,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,19.53,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,4.53,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,1.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,1.87,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,santa rita de cássia,1.1,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,2.4,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,jaborandi,6.79,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,baianópolis,3.71,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,correntina,0.62,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,santa rita de cássia,8.87,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,1.04,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,6.02,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,0.45,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,9.65,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,2.14,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cocos,7.39,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,riachão das neves,9.86,2021,2021/07/01,riachão das neves,2021,761963.2862440944 -Caatinga,jaborandi,9.13,2021,2021/07/07,jaborandi,2021,2051920.940728784 -Cerrado,barreiras,114.2,2021,2021/07/01,barreiras,2021,958306.347179532 -Caatinga,jaborandi,20.93,2021,2021/09/06,jaborandi,2021,2051920.940728784 -Cerrado,santa rita de cássia,9.45,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,89.06,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,belmonte,2.48,2021,2021/09/01,belmonte,2021,331485.0170983076 -Cerrado,são desidério,1506.46,2021,2021/11/17,são desidério,2021,3159579.701361537 -Mata Atlântica,jequié,2.69,2021,2021/11/21,jequié,2021,163926.43447589874 -Cerrado,baianópolis,56.96,2021,2021/11/17,baianópolis,2021,1700892.2622466087 -Caatinga,barra,1.31,2021,2021/09/01,barra,2021,79058.81857037544 -Caatinga,cotegipe,69.02,2021,2021/07/24,cotegipe,2021,292547.2605621815 -Mata Atlântica,itambé,11.3,2022,2022/02/28,itambé,2022,227632.0 -Mata Atlântica,nilo peçanha,0.88,2022,2022/03/31,nilo peçanha,2022,238334.0 -Cerrado,formosa do rio preto,1260.73,2022,2022/05/09,formosa do rio preto,2022,2432263.0 -Cerrado,barreiras,503.58,2022,2022/04/04,barreiras,2022,996163.0 -Cerrado,são desidério,84.98,2022,2022/04/07,são desidério,2022,2729422.0 -Cerrado,santa rita de cássia,5.82,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,são desidério,20.72,2022,2022/06/04,são desidério,2022,2729422.0 -Mata Atlântica,valença,0.72,2022,2022/06/30,valença,2022,378871.0 -Mata Atlântica,itagibá,9.24,2022,2022/06/30,itagibá,2022,288483.0 -Mata Atlântica,valença,0.56,2022,2022/06/30,valença,2022,378871.0 -Cerrado,baianópolis,5.64,2022,2022/03/01,baianópolis,2022,413632.0 -Cerrado,baianópolis,18.65,2022,2022/03/01,baianópolis,2022,413632.0 -Cerrado,santa rita de cássia,42.35,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Caatinga,barra,25.38,2022,2022/03/01,barra,2022,312169.0 -Cerrado,são desidério,19.17,2022,2022/03/01,são desidério,2022,2729422.0 -Caatinga,barra,4.29,2022,2022/03/01,barra,2022,312169.0 -Cerrado,luís eduardo magalhães,729.73,2022,2022/08/12,luís eduardo magalhães,2022,343098.0 -Cerrado,formosa do rio preto,98.87,2022,2022/08/04,formosa do rio preto,2022,2432263.0 -Mata Atlântica,camamu,0.89,2022,2022/07/31,camamu,2022,232571.0 -Mata Atlântica,encruzilhada,0.92,2022,2022/07/31,encruzilhada,2022,414662.0 -Cerrado,barreiras,553.66,2019,2019/09/11,barreiras,2019,1568927.0175619423 -Cerrado,barreiras,57.0,2019,2019/09/20,barreiras,2019,1568927.0175619423 -Caatinga,jaborandi,31.69,2019,2019/10/28,jaborandi,2019,1706967.7386553884 -Cerrado,cocos,4.1,2019,2019/10/31,cocos,2019,959394.147064954 -Caatinga,cotegipe,4.63,2019,2019/11/23,cotegipe,2019,331163.8086628318 -Cerrado,baianópolis,17.09,2019,2019/04/29,baianópolis,2019,607436.7982445955 -Cerrado,são desidério,1.84,2019,2019/04/17,são desidério,2019,2024107.6610826247 -Cerrado,riachão das neves,174.75,2019,2019/03/02,riachão das neves,2019,580173.0040331781 -Mata Atlântica,iguaí,2.58,2019,2019/01/08,iguaí,2019,82227.19198989868 -Mata Atlântica,igrapiúna,1.41,2019,2019/01/16,igrapiúna,2019,257694.0746061802 -Cerrado,santa rita de cássia,68.99,2020,2020/02/26,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,18.02,2020,2020/01/25,formosa do rio preto,2020,3073766.4334418774 -Mata Atlântica,valença,2.66,2020,2020/04/08,valença,2020,427637.707020998 -Mata Atlântica,guaratinga,2.48,2020,2020/04/08,guaratinga,2020,251656.63093233109 -Mata Atlântica,encruzilhada,141.83,2020,2020/04/24,encruzilhada,2020,451620.4507952333 -Cerrado,santa rita de cássia,45.69,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,5.15,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,153.9,2020,2020/02/01,são desidério,2020,3091203.197527945 -Mata Atlântica,valença,6.94,2020,2020/06/30,valença,2020,427637.707020998 -Cerrado,correntina,275.07,2020,2020/05/28,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,121.15,2020,2020/06/06,baianópolis,2020,790814.9751247168 -Cerrado,correntina,1.76,2020,2020/05/31,correntina,2020,1060525.6563282013 -Cerrado,santa rita de cássia,21.47,2020,2020/06/09,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,233.7,2020,2020/06/12,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,5.95,2020,2020/07/05,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,8.26,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,11.95,2020,2020/09/01,cotegipe,2020,559960.0834841728 -Cerrado,barreiras,6.8,2020,2020/09/15,barreiras,2020,1179766.0970728395 -Caatinga,cotegipe,16.46,2020,2020/09/21,cotegipe,2020,559960.0834841728 -Cerrado,luís eduardo magalhães,3.52,2020,2020/09/24,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,jaborandi,299.33,2020,2020/09/30,jaborandi,2020,1744004.154955864 -Mata Atlântica,ibirapitanga,19.34,2020,2020/10/09,ibirapitanga,2020,296362.889919281 -Cerrado,santa rita de cássia,18.87,2020,2020/10/26,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,14.04,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,11.05,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,16.33,2020,2020/11/14,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,belmonte,4.17,2020,2020/12/12,belmonte,2020,350558.8480718136 -Mata Atlântica,dário meira,4.19,2020,2020/12/12,dário meira,2020,92504.77269613744 -Cerrado,riachão das neves,2.17,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 -Caatinga,barreiras,25.94,2021,2021/03/13,barreiras,2021,958306.347179532 -Cerrado,correntina,65.66,2021,2021/03/13,correntina,2021,1585476.3940644264 -Cerrado,formosa do rio preto,20.68,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,camamu,5.23,2021,2021/03/02,camamu,2021,163548.15982496738 -Cerrado,formosa do rio preto,627.77,2021,2021/04/05,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,ibirapitanga,1.29,2021,2021/04/19,ibirapitanga,2021,72436.60405349731 -Caatinga,santa rita de cássia,5.96,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,são desidério,2.8,2021,2021/01/01,são desidério,2021,3159579.701361537 -Cerrado,são desidério,2.61,2021,2021/01/01,são desidério,2021,3159579.701361537 -Cerrado,baianópolis,0.48,2021,2021/03/01,baianópolis,2021,1700892.2622466087 -Cerrado,correntina,33.34,2021,2021/04/01,correntina,2021,1585476.3940644264 -Caatinga,santa rita de cássia,1.48,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cocos,12.57,2021,2021/04/01,cocos,2021,1229644.9681953788 -Caatinga,cotegipe,38.59,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,barra,0.57,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,baianópolis,1.65,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,são desidério,4.96,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,3.95,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,2.02,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,barra,2.84,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.48,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,2.06,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,baianópolis,1.28,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,17.64,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Caatinga,correntina,1.74,2020,2020/01/01,correntina,2020,1060525.6563282013 -Caatinga,barra,2.33,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,2.1,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,32.5,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,2.78,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,11.49,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,4.42,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,formosa do rio preto,9.88,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,4.59,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,10.73,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,43.61,2021,2021/07/21,baianópolis,2021,1700892.2622466087 -Caatinga,jaborandi,7.12,2021,2021/08/02,jaborandi,2021,2051920.940728784 -Cerrado,barreiras,10.84,2021,2021/08/05,barreiras,2021,958306.347179532 -Cerrado,barreiras,48.03,2021,2021/08/16,barreiras,2021,958306.347179532 -Mata Atlântica,dário meira,3.77,2021,2021/09/18,dário meira,2021,101797.88742160796 -Cerrado,santa rita de cássia,60.41,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 -Cerrado,santa rita de cássia,52.11,2021,2021/10/30,santa rita de cássia,2021,998700.5789114236 -Cerrado,barreiras,365.01,2021,2021/08/01,barreiras,2021,958306.347179532 -Mata Atlântica,encruzilhada,7.8,2021,2021/11/01,encruzilhada,2021,587315.3614428043 -Mata Atlântica,ilhéus,7.59,2021,2021/11/21,ilhéus,2021,131715.1359180212 -Caatinga,santa rita de cássia,11.9,2021,2021/11/17,santa rita de cássia,2021,998700.5789114236 -Cerrado,barreiras,48.75,2021,2021/12/13,barreiras,2021,958306.347179532 -Caatinga,santa rita de cássia,7.76,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,0.93,2021,2021/09/01,barra,2021,79058.81857037544 -Caatinga,barra,0.6,2021,2021/11/01,barra,2021,79058.81857037544 -Cerrado,correntina,624.46,2021,2021/05/04,correntina,2021,1585476.3940644264 -Cerrado,cocos,1517.48,2021,2021/05/04,cocos,2021,1229644.9681953788 -Cerrado,barreiras,18.27,2021,2021/01/01,barreiras,2021,958306.347179532 -Mata Atlântica,jequié,3.64,2022,2022/02/28,jequié,2022,498001.0 -Mata Atlântica,belmonte,4.31,2022,2022/03/31,belmonte,2022,354868.0 -Mata Atlântica,dário meira,2.76,2022,2022/03/31,dário meira,2022,217077.0 -Cerrado,são desidério,19.17,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,são desidério,352.47,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,são desidério,158.45,2022,2022/05/21,são desidério,2022,2729422.0 -Cerrado,santa rita de cássia,103.42,2022,2022/05/21,santa rita de cássia,2022,569631.0 -Mata Atlântica,guaratinga,1.91,2022,2022/06/30,guaratinga,2022,243882.0 -Mata Atlântica,encruzilhada,6.85,2022,2022/06/30,encruzilhada,2022,414662.0 -Cerrado,barreiras,296.51,2022,2022/04/25,barreiras,2022,996163.0 -Cerrado,riachão das neves,284.54,2022,2022/06/04,riachão das neves,2022,670183.0 -Cerrado,jaborandi,13.32,2022,2022/03/01,jaborandi,2022,1734316.0 -Caatinga,barra,4.55,2022,2022/03/01,barra,2022,312169.0 -Caatinga,barra,4.03,2022,2022/03/01,barra,2022,312169.0 -Cerrado,barreiras,24.17,2022,2022/03/01,barreiras,2022,996163.0 -Caatinga,cotegipe,6.84,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,jaborandi,370.25,2022,2022/07/30,jaborandi,2022,1734316.0 -Cerrado,são desidério,1082.13,2022,2022/07/23,são desidério,2022,2729422.0 -Cerrado,correntina,77.73,2022,2022/08/12,correntina,2022,1473135.0 -Cerrado,formosa do rio preto,10.28,2022,2022/08/01,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,106.57,2022,2022/09/11,santa rita de cássia,2022,569631.0 -Cerrado,são desidério,105.16,2022,2022/09/26,são desidério,2022,2729422.0 -Cerrado,formosa do rio preto,32.52,2022,2022/09/21,formosa do rio preto,2022,2432263.0 -Cerrado,baianópolis,14.44,2022,2022/09/28,baianópolis,2022,413632.0 -Cerrado,jaborandi,0.97,2019,2019/09/11,jaborandi,2019,1706967.7386553884 -Cerrado,correntina,9.55,2019,2019/09/06,correntina,2019,1545572.943816781 -Caatinga,santa rita de cássia,25.55,2019,2019/10/28,santa rita de cássia,2019,694797.0868461728 -Cerrado,cotegipe,21.95,2019,2019/11/28,cotegipe,2019,331163.8086628318 -Caatinga,santa rita de cássia,3.77,2019,2019/12/16,santa rita de cássia,2019,694797.0868461728 -Caatinga,santa rita de cássia,1050.92,2019,2019/06/08,santa rita de cássia,2019,694797.0868461728 -Caatinga,correntina,3.16,2019,2019/05/02,correntina,2019,1545572.943816781 -Cerrado,santa rita de cássia,6.23,2019,2019/05/22,santa rita de cássia,2019,694797.0868461728 -Cerrado,formosa do rio preto,117.02,2019,2019/07/31,formosa do rio preto,2019,4220327.0016454905 -Caatinga,santa rita de cássia,4.22,2019,2019/05/07,santa rita de cássia,2019,694797.0868461728 -Caatinga,santa rita de cássia,43.52,2019,2019/02/21,santa rita de cássia,2019,694797.0868461728 -Cerrado,baianópolis,11.01,2019,2019/06/08,baianópolis,2019,607436.7982445955 -Cerrado,cocos,13.92,2019,2019/04/03,cocos,2019,959394.147064954 -Cerrado,são desidério,282.0,2019,2019/05/13,são desidério,2019,2024107.6610826247 -Mata Atlântica,maraú,5.14,2019,2019/07/12,maraú,2019,80207.4920681715 -Cerrado,formosa do rio preto,24.08,2020,2020/05/14,formosa do rio preto,2020,3073766.4334418774 -Cerrado,barreiras,202.59,2020,2020/05/14,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,5.6,2020,2020/04/27,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,16.28,2020,2020/01/11,riachão das neves,2020,1085054.2665590644 -Cerrado,formosa do rio preto,5084.77,2020,2020/02/11,formosa do rio preto,2020,3073766.4334418774 -Mata Atlântica,camamu,1.59,2020,2020/02/20,camamu,2020,434741.3974044919 -Mata Atlântica,valença,19.9,2020,2020/04/16,valença,2020,427637.707020998 -Mata Atlântica,valença,3.13,2020,2020/04/16,valença,2020,427637.707020998 -Mata Atlântica,igrapiúna,2.18,2020,2020/03/31,igrapiúna,2020,378236.5840551853 -Mata Atlântica,camamu,1.02,2020,2020/05/02,camamu,2020,434741.3974044919 -Mata Atlântica,nilo peçanha,0.89,2020,2020/04/08,nilo peçanha,2020,154625.95725762844 -Mata Atlântica,dário meira,22.62,2020,2020/04/08,dário meira,2020,92504.77269613744 -Caatinga,cotegipe,8.53,2020,2020/02/01,cotegipe,2020,559960.0834841728 -Mata Atlântica,valença,2.49,2020,2020/06/19,valença,2020,427637.707020998 -Cerrado,são desidério,19.76,2020,2020/06/26,são desidério,2020,3091203.197527945 -Cerrado,santa rita de cássia,43.64,2020,2020/05/31,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,20.41,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,41.55,2020,2020/07/01,são desidério,2020,3091203.197527945 -Cerrado,formosa do rio preto,4.33,2020,2020/07/01,formosa do rio preto,2020,3073766.4334418774 -Caatinga,jaborandi,2.85,2020,2020/07/01,jaborandi,2020,1744004.154955864 -Caatinga,barra,70.03,2020,2020/07/01,barra,2020,139778.05993533134 -Mata Atlântica,ilhéus,1.65,2020,2020/07/21,ilhéus,2020,191205.86366391185 -Caatinga,jaborandi,6.23,2020,2020/09/01,jaborandi,2020,1744004.154955864 -Caatinga,santa rita de cássia,303.91,2020,2020/09/15,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,72.15,2020,2020/09/21,barreiras,2020,1179766.0970728395 -Cerrado,formosa do rio preto,8.95,2020,2020/10/08,formosa do rio preto,2020,3073766.4334418774 -Caatinga,santa rita de cássia,3.05,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,28.21,2020,2020/10/01,cotegipe,2020,559960.0834841728 -Cerrado,baianópolis,4.6,2020,2020/11/24,baianópolis,2020,790814.9751247168 -Cerrado,barreiras,16.24,2020,2020/12/31,barreiras,2020,1179766.0970728395 -Caatinga,santa rita de cássia,9.3,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,1.69,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 -Mata Atlântica,belmonte,11.35,2021,2021/01/06,belmonte,2021,331485.0170983076 -Mata Atlântica,dário meira,2.19,2021,2021/02/14,dário meira,2021,101797.88742160796 -Cerrado,cocos,131.8,2021,2021/02/01,cocos,2021,1229644.9681953788 -Cerrado,formosa do rio preto,9.46,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,5.84,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Caatinga,santa rita de cássia,6.62,2021,2021/03/02,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,belmonte,5.04,2021,2021/03/02,belmonte,2021,331485.0170983076 -Cerrado,barreiras,6.85,2021,2021/03/22,barreiras,2021,958306.347179532 -Caatinga,santa rita de cássia,30.23,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 -Cerrado,jaborandi,418.99,2021,2021/03/25,jaborandi,2021,2051920.940728784 -Mata Atlântica,iguaí,2.51,2021,2021/04/19,iguaí,2021,155962.6907043457 -Cerrado,são desidério,21.63,2021,2021/01/01,são desidério,2021,3159579.701361537 -Cerrado,correntina,0.75,2021,2021/01/01,correntina,2021,1585476.3940644264 -Caatinga,cotegipe,9.57,2021,2021/01/01,cotegipe,2021,292547.2605621815 -Cerrado,riachão das neves,5.99,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Cerrado,baianópolis,60.67,2021,2021/03/01,baianópolis,2021,1700892.2622466087 -Mata Atlântica,ilhéus,0.99,2021,2021/05/14,ilhéus,2021,131715.1359180212 -Cerrado,santa rita de cássia,1.2,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,formosa do rio preto,2.4,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,são desidério,2.95,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,3.35,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,são desidério,1.82,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,barra,0.57,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.33,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,3.11,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,cotegipe,2.15,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,cotegipe,1.02,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,santa rita de cássia,1.58,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,5.74,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,7.31,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,santa rita de cássia,1.11,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,10.98,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,11.44,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,1.46,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,formosa do rio preto,1.5,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,3.06,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Caatinga,santa rita de cássia,2.73,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,30.96,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,12.77,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,8.25,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,5.07,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,formosa do rio preto,5.25,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,9.56,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cocos,2.5,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,santa rita de cássia,8.61,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,2.97,2021,2021/05/01,barra,2021,79058.81857037544 -Cerrado,santa rita de cássia,271.39,2021,2021/07/07,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,13.29,2021,2021/07/27,santa rita de cássia,2021,998700.5789114236 -Caatinga,jaborandi,27.42,2021,2021/08/02,jaborandi,2021,2051920.940728784 -Caatinga,jaborandi,6.53,2021,2021/08/02,jaborandi,2021,2051920.940728784 -Caatinga,jaborandi,5.19,2021,2021/08/02,jaborandi,2021,2051920.940728784 -Cerrado,são desidério,240.61,2021,2021/08/22,são desidério,2021,3159579.701361537 -Cerrado,barreiras,16.67,2021,2021/07/01,barreiras,2021,958306.347179532 -Cerrado,formosa do rio preto,15.36,2021,2021/07/01,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,itagibá,31.32,2021,2021/09/18,itagibá,2021,111453.28504517674 -Cerrado,santa rita de cássia,4.37,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,camamu,3.68,2021,2021/11/29,camamu,2021,163548.15982496738 -Caatinga,santa rita de cássia,53.2,2021,2021/11/20,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,6.33,2021,2021/11/20,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,0.82,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,riachão das neves,29.13,2021,2021/09/01,riachão das neves,2021,761963.2862440944 -Caatinga,cotegipe,13.87,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Caatinga,santa rita de cássia,1.59,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,barreiras,37.52,2021,2021/04/11,barreiras,2021,958306.347179532 -Caatinga,santa rita de cássia,3.07,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,correntina,6.63,2021,2021/04/01,correntina,2021,1585476.3940644264 -Caatinga,santa rita de cássia,3.08,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,santa rita de cássia,34.14,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,19.2,2021,2021/10/01,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,itapetinga,5.23,2022,2022/03/31,itapetinga,2022,285382.0 -Cerrado,barreiras,857.7,2022,2022/02/17,barreiras,2022,996163.0 -Cerrado,barreiras,674.92,2022,2022/03/30,barreiras,2022,996163.0 -Cerrado,luís eduardo magalhães,237.61,2022,2022/05/06,luís eduardo magalhães,2022,343098.0 -Cerrado,formosa do rio preto,155.52,2022,2022/05/06,formosa do rio preto,2022,2432263.0 -Mata Atlântica,encruzilhada,8.7,2022,2022/06/30,encruzilhada,2022,414662.0 -Caatinga,santa rita de cássia,38.67,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,6.02,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,riachão das neves,760.14,2022,2022/06/04,riachão das neves,2022,670183.0 -Mata Atlântica,itarantim,3.71,2022,2022/05/31,itarantim,2022,203154.0 -Mata Atlântica,ibirapitanga,0.75,2022,2022/06/30,ibirapitanga,2022,292758.0 -Mata Atlântica,belmonte,3.22,2022,2022/06/30,belmonte,2022,354868.0 -Cerrado,correntina,35.78,2022,2022/03/01,correntina,2022,1473135.0 -Caatinga,cocos,2.7,2022,2022/03/01,cocos,2022,367625.0 -Caatinga,cotegipe,31.77,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,formosa do rio preto,17.22,2022,2022/03/01,formosa do rio preto,2022,2432263.0 -Cerrado,são desidério,467.87,2022,2022/08/07,são desidério,2022,2729422.0 -Cerrado,santa rita de cássia,22.97,2022,2022/08/24,santa rita de cássia,2022,569631.0 -Mata Atlântica,guaratinga,0.33,2022,2022/07/31,guaratinga,2022,243882.0 -Mata Atlântica,ilhéus,0.69,2022,2022/07/31,ilhéus,2022,209209.0 -Cerrado,santa rita de cássia,202.59,2022,2022/09/26,santa rita de cássia,2022,569631.0 -Cerrado,santa rita de cássia,32.43,2019,2019/10/28,santa rita de cássia,2019,694797.0868461728 -Cerrado,baianópolis,69.31,2019,2019/10/07,baianópolis,2019,607436.7982445955 -Mata Atlântica,valença,2.49,2019,2019/12/02,valença,2019,247673.75340151787 -Cerrado,formosa do rio preto,867.02,2019,2019/08/08,formosa do rio preto,2019,4220327.0016454905 -Caatinga,cocos,4.54,2019,2019/03/31,cocos,2019,959394.147064954 -Cerrado,jaborandi,69.81,2019,2019/01/29,jaborandi,2019,1706967.7386553884 -Cerrado,baianópolis,14.66,2019,2019/08/02,baianópolis,2019,607436.7982445955 -Cerrado,jaborandi,800.15,2019,2019/05/19,jaborandi,2019,1706967.7386553884 -Cerrado,baianópolis,9.15,2019,2019/01/12,baianópolis,2019,607436.7982445955 -Cerrado,correntina,87.99,2019,2019/05/22,correntina,2019,1545572.943816781 -Cerrado,são desidério,4.21,2019,2019/02/24,são desidério,2019,2024107.6610826247 -Caatinga,jaborandi,14.88,2019,2019/01/20,jaborandi,2019,1706967.7386553884 -Cerrado,baianópolis,6.9,2019,2019/08/02,baianópolis,2019,607436.7982445955 -Cerrado,luís eduardo magalhães,31.56,2019,2019/06/14,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,barreiras,533.99,2019,2019/07/10,barreiras,2019,1568927.0175619423 -Cerrado,cocos,33.24,2019,2019/04/17,cocos,2019,959394.147064954 -Mata Atlântica,igrapiúna,0.9,2019,2019/04/22,igrapiúna,2019,257694.0746061802 -Cerrado,formosa do rio preto,1637.13,2020,2020/03/29,formosa do rio preto,2020,3073766.4334418774 -Mata Atlântica,camamu,1.16,2020,2020/02/29,camamu,2020,434741.3974044919 -Mata Atlântica,ilhéus,4.71,2020,2020/01/28,ilhéus,2020,191205.86366391185 -Mata Atlântica,nilo peçanha,18.08,2020,2020/04/08,nilo peçanha,2020,154625.95725762844 -Mata Atlântica,belmonte,2.85,2020,2020/04/01,belmonte,2020,350558.8480718136 -Mata Atlântica,guaratinga,2.35,2020,2020/04/08,guaratinga,2020,251656.63093233109 -Mata Atlântica,encruzilhada,6.47,2020,2020/05/01,encruzilhada,2020,451620.4507952333 -Caatinga,santa rita de cássia,29.32,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,50.61,2020,2020/06/01,barreiras,2020,1179766.0970728395 -Mata Atlântica,valença,2.39,2020,2020/06/19,valença,2020,427637.707020998 -Cerrado,cotegipe,99.88,2020,2020/05/23,cotegipe,2020,559960.0834841728 -Caatinga,barra,131.65,2020,2020/05/23,barra,2020,139778.05993533134 -Cerrado,são desidério,31.06,2020,2020/07/22,são desidério,2020,3091203.197527945 -Cerrado,santa rita de cássia,4.44,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,ibirapitanga,2.63,2020,2020/07/29,ibirapitanga,2020,296362.889919281 -Cerrado,riachão das neves,10.43,2020,2020/09/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,9.51,2020,2020/09/15,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,10.6,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,guaratinga,13.93,2020,2020/10/09,guaratinga,2020,251656.63093233109 -Cerrado,santa rita de cássia,6.07,2020,2020/10/26,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,ibirapitanga,3.39,2020,2020/10/25,ibirapitanga,2020,296362.889919281 -Caatinga,santa rita de cássia,3.62,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,5.46,2020,2020/10/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,5.51,2020,2020/11/14,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,8.19,2020,2020/11/24,cotegipe,2020,559960.0834841728 -Caatinga,santa rita de cássia,1.61,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,750.04,2020,2020/12/31,formosa do rio preto,2020,3073766.4334418774 -Cerrado,jaborandi,18.32,2020,2020/12/14,jaborandi,2020,1744004.154955864 -Cerrado,santa rita de cássia,9.46,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,encruzilhada,4.99,2020,2020/12/12,encruzilhada,2020,451620.4507952333 -Caatinga,cotegipe,4.9,2020,2020/12/01,cotegipe,2020,559960.0834841728 -Cerrado,riachão das neves,5.59,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,5.17,2021,2021/01/23,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,belmonte,11.32,2021,2021/01/06,belmonte,2021,331485.0170983076 -Mata Atlântica,valença,2.85,2021,2021/02/06,valença,2021,195332.51262283325 -Mata Atlântica,ibirapitanga,3.1,2021,2021/02/06,ibirapitanga,2021,72436.60405349731 -Caatinga,cocos,4.23,2021,2021/02/01,cocos,2021,1229644.9681953788 -Cerrado,formosa do rio preto,51.66,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,maraú,5.43,2021,2021/03/18,maraú,2021,103211.31101250648 -Cerrado,formosa do rio preto,287.25,2021,2021/04/05,formosa do rio preto,2021,2299737.8741800785 -Mata Atlântica,encruzilhada,9.28,2021,2021/04/18,encruzilhada,2021,587315.3614428043 -Mata Atlântica,encruzilhada,7.18,2021,2021/04/18,encruzilhada,2021,587315.3614428043 -Cerrado,correntina,2.04,2021,2021/01/01,correntina,2021,1585476.3940644264 -Cerrado,correntina,2.3,2021,2021/01/01,correntina,2021,1585476.3940644264 -Cerrado,são desidério,9.37,2021,2021/01/01,são desidério,2021,3159579.701361537 -Cerrado,riachão das neves,36.14,2021,2021/05/10,riachão das neves,2021,761963.2862440944 -Caatinga,cotegipe,18.3,2021,2021/05/22,cotegipe,2021,292547.2605621815 -Cerrado,barreiras,22.24,2021,2021/05/30,barreiras,2021,958306.347179532 -Cerrado,santa rita de cássia,14.06,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,jaborandi,7.64,2021,2021/06/19,jaborandi,2021,2051920.940728784 -Cerrado,santa rita de cássia,17.05,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,1.45,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,1.67,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,1.91,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,formosa do rio preto,7.91,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,são desidério,1.11,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,cotegipe,1.98,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,santa rita de cássia,8.56,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,1.07,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,cotegipe,2.18,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,barra,2.57,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,0.76,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,cotegipe,2.34,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,cotegipe,30.03,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,correntina,2.11,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,1.96,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,formosa do rio preto,3.91,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,barreiras,13.49,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,riachão das neves,3.08,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,formosa do rio preto,1.81,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Caatinga,santa rita de cássia,1.69,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,cocos,3.39,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,baianópolis,31.43,2021,2021/07/21,baianópolis,2021,1700892.2622466087 -Caatinga,cotegipe,4.75,2021,2021/06/01,cotegipe,2021,292547.2605621815 -Caatinga,cocos,64.74,2021,2021/08/08,cocos,2021,1229644.9681953788 -Cerrado,luís eduardo magalhães,5.64,2021,2021/08/05,luís eduardo magalhães,2021,654262.0002045631 -Caatinga,barra,61.31,2021,2021/07/01,barra,2021,79058.81857037544 -Cerrado,santa rita de cássia,112.76,2021,2021/08/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,correntina,7.92,2021,2021/08/01,correntina,2021,1585476.3940644264 -Cerrado,são desidério,84.21,2021,2021/11/25,são desidério,2021,3159579.701361537 -Cerrado,riachão das neves,227.33,2021,2021/09/01,riachão das neves,2021,761963.2862440944 -Caatinga,santa rita de cássia,0.91,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,1.7,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Cerrado,cocos,22.27,2021,2021/10/01,cocos,2021,1229644.9681953788 -Cerrado,santa rita de cássia,2.98,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,baianópolis,106.84,2021,2021/04/29,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,19.12,2021,2021/05/30,baianópolis,2021,1700892.2622466087 -Cerrado,correntina,306.89,2021,2021/06/17,correntina,2021,1585476.3940644264 -Cerrado,correntina,5.11,2021,2021/07/01,correntina,2021,1585476.3940644264 -Mata Atlântica,encruzilhada,11.58,2022,2022/02/28,encruzilhada,2022,414662.0 -Mata Atlântica,itapetinga,24.83,2022,2022/02/28,itapetinga,2022,285382.0 -Mata Atlântica,encruzilhada,7.26,2022,2022/02/28,encruzilhada,2022,414662.0 -Mata Atlântica,encruzilhada,3.04,2022,2022/03/31,encruzilhada,2022,414662.0 -Cerrado,santa rita de cássia,112.6,2022,2022/05/29,santa rita de cássia,2022,569631.0 -Cerrado,são desidério,91.05,2022,2022/05/29,são desidério,2022,2729422.0 -Cerrado,baianópolis,133.52,2022,2022/05/21,baianópolis,2022,413632.0 -Cerrado,riachão das neves,135.04,2022,2022/04/04,riachão das neves,2022,670183.0 -Cerrado,santa rita de cássia,5.11,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Mata Atlântica,nilo peçanha,1.29,2022,2022/06/30,nilo peçanha,2022,238334.0 -Mata Atlântica,maraú,0.85,2022,2022/06/30,maraú,2022,275953.0 -Cerrado,formosa do rio preto,14.1,2022,2022/03/01,formosa do rio preto,2022,2432263.0 -Cerrado,correntina,293.28,2022,2022/03/01,correntina,2022,1473135.0 -Cerrado,cotegipe,4.82,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,cotegipe,16.98,2022,2022/03/01,cotegipe,2022,297663.0 -Caatinga,santa rita de cássia,55.44,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Caatinga,santa rita de cássia,19.82,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Cerrado,cotegipe,181.77,2022,2022/08/04,cotegipe,2022,297663.0 -Cerrado,jaborandi,23.4,2022,2022/08/12,jaborandi,2022,1734316.0 -Caatinga,barra,0.34,2022,2022/04/01,barra,2022,312169.0 -Mata Atlântica,encruzilhada,19.56,2022,2022/07/31,encruzilhada,2022,414662.0 -Mata Atlântica,valença,0.58,2022,2022/07/31,valença,2022,378871.0 -Cerrado,barreiras,164.85,2019,2019/10/13,barreiras,2019,1568927.0175619423 -Cerrado,luís eduardo magalhães,42.99,2019,2019/10/16,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,luís eduardo magalhães,32.17,2019,2019/01/23,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,correntina,97.49,2019,2019/04/23,correntina,2019,1545572.943816781 -Cerrado,riachão das neves,11.03,2019,2019/05/07,riachão das neves,2019,580173.0040331781 -Cerrado,santa rita de cássia,115.22,2019,2019/06/28,santa rita de cássia,2019,694797.0868461728 -Cerrado,barreiras,260.1,2019,2019/07/10,barreiras,2019,1568927.0175619423 -Mata Atlântica,ilhéus,3.59,2019,2019/05/24,ilhéus,2019,158872.06799983978 -Mata Atlântica,jequié,7.59,2019,2019/02/25,jequié,2019,249169.2120203972 -Mata Atlântica,ilhéus,3.19,2019,2019/02/01,ilhéus,2019,158872.06799983978 -Mata Atlântica,dário meira,0.47,2019,2019/01/08,dário meira,2019,94401.96469908953 -Mata Atlântica,igrapiúna,3.53,2019,2019/02/25,igrapiúna,2019,257694.0746061802 -Cerrado,baianópolis,21.5,2020,2020/04/30,baianópolis,2020,790814.9751247168 -Cerrado,barreiras,3.06,2020,2020/04/21,barreiras,2020,1179766.0970728395 -Cerrado,são desidério,220.17,2020,2020/01/31,são desidério,2020,3091203.197527945 -Caatinga,santa rita de cássia,57.77,2020,2020/03/29,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,32.01,2020,2020/04/27,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,ilhéus,16.2,2020,2020/01/28,ilhéus,2020,191205.86366391185 -Mata Atlântica,ilhéus,14.89,2020,2020/01/20,ilhéus,2020,191205.86366391185 -Mata Atlântica,encruzilhada,14.23,2020,2020/01/10,encruzilhada,2020,451620.4507952333 -Caatinga,jaborandi,8.92,2020,2020/06/01,jaborandi,2020,1744004.154955864 -Cerrado,correntina,14.49,2020,2020/06/01,correntina,2020,1060525.6563282013 -Cerrado,luís eduardo magalhães,3.86,2020,2020/06/09,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,baianópolis,303.3,2020,2020/06/21,baianópolis,2020,790814.9751247168 -Cerrado,riachão das neves,122.51,2020,2020/05/28,riachão das neves,2020,1085054.2665590644 -Cerrado,luís eduardo magalhães,27.31,2020,2020/06/09,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,santa rita de cássia,13.71,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,jaborandi,43.9,2020,2020/07/25,jaborandi,2020,1744004.154955864 -Cerrado,santa rita de cássia,14.66,2020,2020/07/31,santa rita de cássia,2020,859509.3606863022 -Cerrado,jaborandi,13.73,2020,2020/07/01,jaborandi,2020,1744004.154955864 -Cerrado,luís eduardo magalhães,211.77,2020,2020/08/29,luís eduardo magalhães,2020,1523413.1056941748 -Mata Atlântica,iguaí,8.5,2020,2020/09/15,iguaí,2020,127471.2907333374 -Cerrado,santa rita de cássia,13.09,2020,2020/09/30,santa rita de cássia,2020,859509.3606863022 -Caatinga,jaborandi,17.22,2020,2020/10/20,jaborandi,2020,1744004.154955864 -Cerrado,formosa do rio preto,13.9,2020,2020/10/23,formosa do rio preto,2020,3073766.4334418774 -Cerrado,luís eduardo magalhães,138.26,2020,2020/11/09,luís eduardo magalhães,2020,1523413.1056941748 -Caatinga,santa rita de cássia,2.1,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,63.71,2020,2020/12/14,baianópolis,2020,790814.9751247168 -Mata Atlântica,valença,4.04,2020,2020/12/12,valença,2020,427637.707020998 -Mata Atlântica,guaratinga,10.61,2020,2020/12/12,guaratinga,2020,251656.63093233109 -Caatinga,cotegipe,5.76,2020,2020/12/01,cotegipe,2020,559960.0834841728 -Cerrado,santa rita de cássia,5.26,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,1.72,2020,2020/12/01,riachão das neves,2020,1085054.2665590644 -Cerrado,correntina,13.39,2021,2021/01/26,correntina,2021,1585476.3940644264 -Mata Atlântica,camamu,1.24,2021,2021/02/06,camamu,2021,163548.15982496738 -Mata Atlântica,guaratinga,6.85,2021,2021/02/22,guaratinga,2021,171742.56461274624 -Caatinga,correntina,6.78,2021,2021/02/01,correntina,2021,1585476.3940644264 -Cerrado,baianópolis,6.97,2021,2021/02/01,baianópolis,2021,1700892.2622466087 -Cerrado,são desidério,5.99,2021,2021/03/13,são desidério,2021,3159579.701361537 -Cerrado,riachão das neves,40.88,2021,2021/03/05,riachão das neves,2021,761963.2862440944 -Caatinga,santa rita de cássia,18.16,2021,2021/03/22,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,camamu,2.77,2021,2021/04/27,camamu,2021,163548.15982496738 -Cerrado,são desidério,2.97,2021,2021/01/01,são desidério,2021,3159579.701361537 -Cerrado,formosa do rio preto,15.36,2021,2021/01/01,formosa do rio preto,2021,2299737.8741800785 -Caatinga,cotegipe,36.36,2021,2021/01/01,cotegipe,2021,292547.2605621815 -Cerrado,formosa do rio preto,154.78,2021,2021/05/10,formosa do rio preto,2021,2299737.8741800785 -Caatinga,santa rita de cássia,8.39,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,luís eduardo magalhães,1.78,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,correntina,0.55,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,correntina,1.1,2020,2020/01/01,correntina,2020,1060525.6563282013 -Caatinga,barra,19.73,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,4.99,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,0.96,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,3.6,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,0.72,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,3.19,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,0.71,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,baianópolis,4.58,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,0.97,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,são desidério,0.75,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,correntina,3.92,2020,2020/01/01,correntina,2020,1060525.6563282013 -Caatinga,jaborandi,4.21,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,correntina,3.61,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,correntina,1.88,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,santa rita de cássia,0.68,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,1.18,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,1.14,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,0.49,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Caatinga,santa rita de cássia,1.9,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,1.06,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,9.01,2021,2021/05/01,baianópolis,2021,1700892.2622466087 -Caatinga,correntina,11.0,2021,2021/05/01,correntina,2021,1585476.3940644264 -Caatinga,santa rita de cássia,3.42,2021,2021/05/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,luís eduardo magalhães,18.78,2021,2021/05/01,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,barreiras,55.24,2021,2021/07/01,barreiras,2021,958306.347179532 -Caatinga,cotegipe,3.16,2021,2021/06/01,cotegipe,2021,292547.2605621815 -Caatinga,cotegipe,13.07,2021,2021/06/01,cotegipe,2021,292547.2605621815 -Cerrado,luís eduardo magalhães,22.76,2021,2021/08/05,luís eduardo magalhães,2021,654262.0002045631 -Caatinga,barra,108.22,2021,2021/08/16,barra,2021,79058.81857037544 -Mata Atlântica,belmonte,23.69,2021,2021/12/16,belmonte,2021,331485.0170983076 -Caatinga,santa rita de cássia,5.33,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,5.18,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,3.46,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,214.34,2021,2021/12/01,barra,2021,79058.81857037544 -Cerrado,cocos,489.8,2021,2021/12/01,cocos,2021,1229644.9681953788 -Cerrado,correntina,361.02,2021,2021/07/21,correntina,2021,1585476.3940644264 -Caatinga,santa rita de cássia,7.1,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,13.47,2021,2021/10/01,cotegipe,2021,292547.2605621815 -Cerrado,correntina,1.42,2021,2021/12/01,correntina,2021,1585476.3940644264 -Cerrado,são desidério,1967.16,2022,2022/01/19,são desidério,2022,2729422.0 -Cerrado,formosa do rio preto,52.22,2022,2022/01/22,formosa do rio preto,2022,2432263.0 -Cerrado,luís eduardo magalhães,125.07,2022,2022/02/03,luís eduardo magalhães,2022,343098.0 -Cerrado,são desidério,70.34,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,são desidério,361.36,2022,2022/05/06,são desidério,2022,2729422.0 -Cerrado,são desidério,198.93,2022,2022/04/25,são desidério,2022,2729422.0 -Cerrado,são desidério,1943.17,2022,2022/06/16,são desidério,2022,2729422.0 -Mata Atlântica,camamu,2.0,2022,2022/06/30,camamu,2022,232571.0 -Mata Atlântica,ilhéus,4.34,2022,2022/06/30,ilhéus,2022,209209.0 -Cerrado,jaborandi,3.93,2022,2022/03/01,jaborandi,2022,1734316.0 -Cerrado,são desidério,1.9,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,barreiras,15.38,2022,2022/08/17,barreiras,2022,996163.0 -Cerrado,riachão das neves,227.66,2022,2022/08/04,riachão das neves,2022,670183.0 -Caatinga,cocos,14.58,2022,2022/05/01,cocos,2022,367625.0 -Mata Atlântica,guaratinga,7.48,2022,2022/08/31,guaratinga,2022,243882.0 -Caatinga,correntina,24.14,2019,2019/09/06,correntina,2019,1545572.943816781 -Cerrado,baianópolis,8.21,2019,2019/10/02,baianópolis,2019,607436.7982445955 -Cerrado,riachão das neves,10.37,2019,2019/12/07,riachão das neves,2019,580173.0040331781 -Caatinga,santa rita de cássia,8.83,2019,2019/12/16,santa rita de cássia,2019,694797.0868461728 -Cerrado,jaborandi,20.14,2019,2019/12/27,jaborandi,2019,1706967.7386553884 -Cerrado,baianópolis,82.42,2019,2019/04/26,baianópolis,2019,607436.7982445955 -Cerrado,correntina,9.22,2019,2019/01/23,correntina,2019,1545572.943816781 -Cerrado,formosa do rio preto,127.22,2019,2019/04/23,formosa do rio preto,2019,4220327.0016454905 -Cerrado,barreiras,10.44,2019,2019/04/17,barreiras,2019,1568927.0175619423 -Cerrado,barreiras,15.11,2019,2019/04/17,barreiras,2019,1568927.0175619423 -Cerrado,baianópolis,19.66,2019,2019/08/02,baianópolis,2019,607436.7982445955 -Cerrado,formosa do rio preto,68.6,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 -Cerrado,correntina,9.17,2019,2019/06/05,correntina,2019,1545572.943816781 -Cerrado,formosa do rio preto,14.12,2019,2019/04/26,formosa do rio preto,2019,4220327.0016454905 -Cerrado,cocos,1455.05,2019,2019/07/04,cocos,2019,959394.147064954 -Caatinga,santa rita de cássia,37.49,2019,2019/06/08,santa rita de cássia,2019,694797.0868461728 -Cerrado,barreiras,148.95,2019,2019/07/04,barreiras,2019,1568927.0175619423 -Mata Atlântica,guaratinga,10.37,2019,2019/01/24,guaratinga,2019,211708.01093423367 -Mata Atlântica,valença,2.72,2019,2019/01/08,valença,2019,247673.75340151787 -Caatinga,santa rita de cássia,53.37,2020,2020/01/11,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,24.1,2020,2020/01/11,santa rita de cássia,2020,859509.3606863022 -Cerrado,jaborandi,281.03,2020,2020/04/03,jaborandi,2020,1744004.154955864 -Cerrado,são desidério,34.59,2020,2020/05/11,são desidério,2020,3091203.197527945 -Mata Atlântica,maraú,4.39,2020,2020/04/24,maraú,2020,170126.90513539314 -Mata Atlântica,camamu,2.93,2020,2020/04/24,camamu,2020,434741.3974044919 -Mata Atlântica,guaratinga,1.13,2020,2020/04/08,guaratinga,2020,251656.63093233109 -Caatinga,barra,453.44,2020,2020/05/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,22.48,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,jaborandi,6.08,2020,2020/02/01,jaborandi,2020,1744004.154955864 -Cerrado,jaborandi,615.15,2020,2020/05/28,jaborandi,2020,1744004.154955864 -Cerrado,são desidério,872.04,2020,2020/07/05,são desidério,2020,3091203.197527945 -Caatinga,correntina,4.85,2020,2020/07/01,correntina,2020,1060525.6563282013 -Cerrado,são desidério,14.58,2020,2020/07/01,são desidério,2020,3091203.197527945 -Cerrado,luís eduardo magalhães,189.12,2020,2020/08/11,luís eduardo magalhães,2020,1523413.1056941748 -Caatinga,santa rita de cássia,4.55,2020,2020/08/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,14.01,2020,2020/09/01,correntina,2020,1060525.6563282013 -Cerrado,barreiras,13.29,2020,2020/09/01,barreiras,2020,1179766.0970728395 -Cerrado,formosa do rio preto,458.98,2020,2020/09/06,formosa do rio preto,2020,3073766.4334418774 -Caatinga,santa rita de cássia,9.01,2020,2020/09/04,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,6.48,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,326.4,2020,2020/12/31,são desidério,2020,3091203.197527945 -Mata Atlântica,maraú,4.57,2021,2021/02/22,maraú,2021,103211.31101250648 -Mata Atlântica,itagibá,6.31,2021,2021/02/22,itagibá,2021,111453.28504517674 -Caatinga,barra,1.85,2021,2021/02/01,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,17.28,2021,2021/03/05,santa rita de cássia,2021,998700.5789114236 -Cerrado,formosa do rio preto,23.94,2021,2021/05/04,formosa do rio preto,2021,2299737.8741800785 -Cerrado,são desidério,4.59,2021,2021/01/01,são desidério,2021,3159579.701361537 -Caatinga,correntina,0.89,2021,2021/01/01,correntina,2021,1585476.3940644264 -Cerrado,baianópolis,341.8,2021,2021/03/01,baianópolis,2021,1700892.2622466087 -Cerrado,riachão das neves,576.86,2021,2021/04/01,riachão das neves,2021,761963.2862440944 -Cerrado,santa rita de cássia,13.61,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,baianópolis,39.37,2021,2021/06/17,baianópolis,2021,1700892.2622466087 -Mata Atlântica,valença,2.24,2021,2021/06/30,valença,2021,195332.51262283325 -Cerrado,correntina,5.03,2020,2020/01/01,correntina,2020,1060525.6563282013 -Caatinga,santa rita de cássia,4.75,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,0.83,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,são desidério,1.73,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,8.49,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,8.67,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,riachão das neves,6.18,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,santa rita de cássia,32.9,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,0.31,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,cotegipe,15.59,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,barra,5.44,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.27,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.17,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,2.03,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,2.96,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,3.01,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,3.34,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,cotegipe,23.03,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,são desidério,1.24,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,0.38,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,5.71,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,baianópolis,1.16,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Caatinga,correntina,5.73,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,correntina,1.02,2020,2020/01/01,correntina,2020,1060525.6563282013 -Caatinga,santa rita de cássia,3.79,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,39.89,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,barreiras,6.34,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,formosa do rio preto,27.35,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,2.86,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,22.46,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cocos,42.35,2021,2021/07/30,cocos,2021,1229644.9681953788 -Mata Atlântica,iguaí,3.49,2021,2021/07/16,iguaí,2021,155962.6907043457 -Cerrado,jaborandi,406.92,2021,2021/09/26,jaborandi,2021,2051920.940728784 -Cerrado,santa rita de cássia,91.71,2021,2021/08/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,baianópolis,23.55,2021,2021/11/17,baianópolis,2021,1700892.2622466087 -Cerrado,riachão das neves,2.99,2021,2021/09/01,riachão das neves,2021,761963.2862440944 -Caatinga,santa rita de cássia,10.96,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,8.77,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Cerrado,são desidério,1.34,2021,2021/11/01,são desidério,2021,3159579.701361537 -Cerrado,santa rita de cássia,102.2,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,4.48,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,31.88,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,santa rita de cássia,58.25,2021,2021/07/04,santa rita de cássia,2021,998700.5789114236 -Cerrado,correntina,1.08,2021,2021/05/01,correntina,2021,1585476.3940644264 -Mata Atlântica,itapetinga,2.75,2022,2022/02/28,itapetinga,2022,285382.0 -Mata Atlântica,guaratinga,2.13,2022,2022/02/28,guaratinga,2022,243882.0 -Mata Atlântica,guaratinga,6.61,2022,2022/03/31,guaratinga,2022,243882.0 -Cerrado,santa rita de cássia,1.26,2022,2022/01/11,santa rita de cássia,2022,569631.0 -Cerrado,correntina,60.48,2022,2022/02/23,correntina,2022,1473135.0 -Cerrado,barreiras,1024.83,2022,2022/03/09,barreiras,2022,996163.0 -Cerrado,barreiras,172.74,2022,2022/03/30,barreiras,2022,996163.0 -Cerrado,são desidério,816.38,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,são desidério,9.54,2022,2022/01/01,são desidério,2022,2729422.0 -Cerrado,são desidério,574.1,2022,2022/05/29,são desidério,2022,2729422.0 -Mata Atlântica,nilo peçanha,1.92,2022,2022/04/30,nilo peçanha,2022,238334.0 -Mata Atlântica,jequié,15.42,2022,2022/06/17,jequié,2022,498001.0 -Cerrado,baianópolis,33.39,2022,2022/06/16,baianópolis,2022,413632.0 -Mata Atlântica,itapetinga,4.69,2022,2022/05/31,itapetinga,2022,285382.0 -Mata Atlântica,valença,0.75,2022,2022/06/30,valença,2022,378871.0 -Mata Atlântica,belmonte,1.19,2022,2022/06/30,belmonte,2022,354868.0 -Mata Atlântica,encruzilhada,7.91,2022,2022/06/30,encruzilhada,2022,414662.0 -Cerrado,cocos,0.98,2022,2022/03/01,cocos,2022,367625.0 -Caatinga,cotegipe,32.72,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,riachão das neves,7.39,2022,2022/03/01,riachão das neves,2022,670183.0 -Cerrado,são desidério,212.94,2022,2022/08/04,são desidério,2022,2729422.0 -Cerrado,barreiras,85.79,2022,2022/08/02,barreiras,2022,996163.0 -Mata Atlântica,itapetinga,103.74,2022,2022/07/31,itapetinga,2022,285382.0 -Cerrado,formosa do rio preto,132.74,2022,2022/09/03,formosa do rio preto,2022,2432263.0 -Mata Atlântica,ilhéus,1.37,2019,2019/10/16,ilhéus,2019,158872.06799983978 -Cerrado,baianópolis,29.95,2019,2019/11/20,baianópolis,2019,607436.7982445955 -Cerrado,baianópolis,12.85,2019,2019/10/02,baianópolis,2019,607436.7982445955 -Cerrado,jaborandi,70.96,2019,2019/10/13,jaborandi,2019,1706967.7386553884 -Caatinga,santa rita de cássia,200.47,2019,2019/11/11,santa rita de cássia,2019,694797.0868461728 -Cerrado,luís eduardo magalhães,192.62,2019,2019/12/13,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,santa rita de cássia,23.42,2019,2019/12/07,santa rita de cássia,2019,694797.0868461728 -Caatinga,cocos,6.38,2019,2019/12/27,cocos,2019,959394.147064954 -Cerrado,baianópolis,4.93,2019,2019/05/10,baianópolis,2019,607436.7982445955 -Cerrado,barreiras,97.04,2019,2019/04/17,barreiras,2019,1568927.0175619423 -Cerrado,baianópolis,7.58,2019,2019/04/29,baianópolis,2019,607436.7982445955 -Cerrado,formosa do rio preto,86.61,2019,2019/04/14,formosa do rio preto,2019,4220327.0016454905 -Cerrado,riachão das neves,17.22,2019,2019/05/22,riachão das neves,2019,580173.0040331781 -Cerrado,formosa do rio preto,1095.76,2019,2019/04/17,formosa do rio preto,2019,4220327.0016454905 -Caatinga,cotegipe,25.5,2019,2019/04/23,cotegipe,2019,331163.8086628318 -Cerrado,luís eduardo magalhães,59.98,2019,2019/06/02,luís eduardo magalhães,2019,800435.7103590965 -Cerrado,barreiras,230.74,2019,2019/05/19,barreiras,2019,1568927.0175619423 -Cerrado,formosa do rio preto,214.82,2019,2019/07/07,formosa do rio preto,2019,4220327.0016454905 -Mata Atlântica,belmonte,7.95,2019,2019/03/30,belmonte,2019,390403.1881421805 -Mata Atlântica,encruzilhada,2.01,2019,2019/01/23,encruzilhada,2019,403895.9177992344 -Mata Atlântica,camamu,1.96,2019,2019/03/29,camamu,2019,221471.44368362427 -Cerrado,baianópolis,4.95,2020,2020/04/21,baianópolis,2020,790814.9751247168 -Cerrado,luís eduardo magalhães,1.49,2020,2020/03/29,luís eduardo magalhães,2020,1523413.1056941748 -Mata Atlântica,valença,3.45,2020,2020/02/04,valença,2020,427637.707020998 -Mata Atlântica,valença,1.6,2020,2020/04/08,valença,2020,427637.707020998 -Cerrado,riachão das neves,20.38,2020,2020/06/01,riachão das neves,2020,1085054.2665590644 -Mata Atlântica,itagibá,50.98,2020,2020/06/30,itagibá,2020,72102.08046793938 -Mata Atlântica,itapetinga,5.5,2020,2020/06/30,itapetinga,2020,46135.12845611572 -Mata Atlântica,encruzilhada,23.25,2020,2020/05/26,encruzilhada,2020,451620.4507952333 -Caatinga,cotegipe,20.48,2020,2020/06/09,cotegipe,2020,559960.0834841728 -Cerrado,são desidério,2.03,2020,2020/07/01,são desidério,2020,3091203.197527945 -Cerrado,santa rita de cássia,4.63,2020,2020/07/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,4.65,2020,2020/08/20,correntina,2020,1060525.6563282013 -Caatinga,cotegipe,20.59,2020,2020/09/01,cotegipe,2020,559960.0834841728 -Cerrado,barreiras,12.63,2020,2020/09/01,barreiras,2020,1179766.0970728395 -Cerrado,são desidério,2.97,2020,2020/09/30,são desidério,2020,3091203.197527945 -Caatinga,santa rita de cássia,15.87,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,10.76,2020,2020/12/01,barra,2020,139778.05993533134 -Caatinga,cocos,6.37,2020,2020/12/14,cocos,2020,1218387.32458961 -Cerrado,cotegipe,5.41,2020,2020/12/17,cotegipe,2020,559960.0834841728 -Cerrado,santa rita de cássia,23.67,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,ilhéus,3.26,2020,2020/12/29,ilhéus,2020,191205.86366391185 -Mata Atlântica,camamu,6.71,2021,2021/01/21,camamu,2021,163548.15982496738 -Cerrado,santa rita de cássia,0.83,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,4.85,2021,2021/02/01,barra,2021,79058.81857037544 -Cerrado,formosa do rio preto,12.18,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Cerrado,correntina,19.2,2021,2021/03/13,correntina,2021,1585476.3940644264 -Cerrado,baianópolis,9.15,2021,2021/03/13,baianópolis,2021,1700892.2622466087 -Mata Atlântica,ilhéus,4.96,2021,2021/04/12,ilhéus,2021,131715.1359180212 -Mata Atlântica,belmonte,9.66,2021,2021/04/28,belmonte,2021,331485.0170983076 -Cerrado,são desidério,354.91,2021,2021/05/04,são desidério,2021,3159579.701361537 -Cerrado,barreiras,28.58,2021,2021/05/04,barreiras,2021,958306.347179532 -Caatinga,cotegipe,1.49,2021,2021/01/01,cotegipe,2021,292547.2605621815 -Mata Atlântica,belmonte,7.06,2021,2021/05/22,belmonte,2021,331485.0170983076 -Cerrado,são desidério,119.52,2021,2021/06/14,são desidério,2021,3159579.701361537 -Mata Atlântica,camamu,6.79,2021,2021/06/14,camamu,2021,163548.15982496738 -Cerrado,cotegipe,2.28,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,barra,1.04,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,1.25,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,2.38,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,1.99,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,24.84,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,1.15,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,5.23,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,são desidério,27.18,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,são desidério,1.88,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,jaborandi,0.55,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Caatinga,correntina,0.57,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,correntina,1.28,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,19.19,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,2.89,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,formosa do rio preto,1.42,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,18.25,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,4.28,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,barreiras,3.39,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,barreiras,7.37,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,5.91,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,8.85,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,barreiras,2.24,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,luís eduardo magalhães,9.66,2020,2020/01/01,luís eduardo magalhães,2020,1523413.1056941748 -Cerrado,riachão das neves,1.63,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Caatinga,cocos,33.96,2020,2020/01/01,cocos,2020,1218387.32458961 -Cerrado,barreiras,21.42,2021,2021/07/27,barreiras,2021,958306.347179532 -Mata Atlântica,valença,1.4,2021,2021/09/18,valença,2021,195332.51262283325 -Cerrado,jaborandi,591.5,2021,2021/10/25,jaborandi,2021,2051920.940728784 -Cerrado,barreiras,34.24,2021,2021/08/01,barreiras,2021,958306.347179532 -Cerrado,correntina,986.4,2021,2021/11/25,correntina,2021,1585476.3940644264 -Cerrado,baianópolis,651.93,2021,2021/12/13,baianópolis,2021,1700892.2622466087 -Caatinga,santa rita de cássia,8.33,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,4.61,2021,2021/11/01,cotegipe,2021,292547.2605621815 -Caatinga,barra,205.53,2021,2021/11/01,barra,2021,79058.81857037544 -Cerrado,santa rita de cássia,159.45,2021,2021/01/17,santa rita de cássia,2021,998700.5789114236 -Cerrado,cocos,368.05,2021,2021/01/20,cocos,2021,1229644.9681953788 -Cerrado,são desidério,11.44,2021,2021/03/28,são desidério,2021,3159579.701361537 -Cerrado,barreiras,21.73,2021,2021/04/11,barreiras,2021,958306.347179532 -Cerrado,riachão das neves,75.43,2021,2021/05/04,riachão das neves,2021,761963.2862440944 -Cerrado,santa rita de cássia,36.89,2021,2021/06/14,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,156.66,2022,2022/01/01,barra,2022,312169.0 -Cerrado,são desidério,173.78,2022,2022/05/03,são desidério,2022,2729422.0 -Cerrado,são desidério,29.18,2022,2022/05/06,são desidério,2022,2729422.0 -Mata Atlântica,guaratinga,18.88,2022,2022/04/30,guaratinga,2022,243882.0 -Mata Atlântica,camamu,5.62,2022,2022/04/30,camamu,2022,232571.0 -Cerrado,santa rita de cássia,14.19,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,formosa do rio preto,30.22,2022,2022/02/01,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,55.53,2022,2022/06/07,santa rita de cássia,2022,569631.0 -Cerrado,baianópolis,1.91,2022,2022/03/01,baianópolis,2022,413632.0 -Cerrado,barreiras,7.0,2022,2022/03/01,barreiras,2022,996163.0 -Cerrado,são desidério,13.09,2022,2022/03/01,são desidério,2022,2729422.0 -Cerrado,correntina,63.98,2022,2022/03/01,correntina,2022,1473135.0 -Cerrado,cocos,25.7,2022,2022/03/01,cocos,2022,367625.0 -Cerrado,santa rita de cássia,14.16,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Cerrado,correntina,18.1,2022,2022/03/01,correntina,2022,1473135.0 -Cerrado,baianópolis,3.56,2022,2022/08/04,baianópolis,2022,413632.0 -Cerrado,formosa do rio preto,70.51,2022,2022/08/24,formosa do rio preto,2022,2432263.0 -Mata Atlântica,maraú,3.76,2022,2022/07/31,maraú,2022,275953.0 -Mata Atlântica,belmonte,0.78,2022,2022/07/31,belmonte,2022,354868.0 -Mata Atlântica,camamu,0.84,2022,2022/07/31,camamu,2022,232571.0 -Cerrado,barreiras,99.99,2022,2022/09/04,barreiras,2022,996163.0 -Cerrado,correntina,527.22,2022,2022/09/03,correntina,2022,1473135.0 -Mata Atlântica,igrapiúna,3.93,2019,2019/11/08,igrapiúna,2019,257694.0746061802 -Mata Atlântica,guaratinga,9.28,2019,2019/10/31,guaratinga,2019,211708.01093423367 -Cerrado,formosa do rio preto,2.1,2019,2019/12/16,formosa do rio preto,2019,4220327.0016454905 -Caatinga,barra,2.31,2019,2019/12/16,barra,2019,226011.0523688793 -Mata Atlântica,encruzilhada,22.1,2019,2019/04/05,encruzilhada,2019,403895.9177992344 -Caatinga,santa rita de cássia,12.86,2019,2019/05/13,santa rita de cássia,2019,694797.0868461728 -Cerrado,barreiras,107.56,2019,2019/08/22,barreiras,2019,1568927.0175619423 -Cerrado,barreiras,17.43,2019,2019/01/29,barreiras,2019,1568927.0175619423 -Cerrado,são desidério,33.56,2019,2019/01/06,são desidério,2019,2024107.6610826247 -Cerrado,formosa do rio preto,10.59,2019,2019/03/31,formosa do rio preto,2019,4220327.0016454905 -Caatinga,santa rita de cássia,17.13,2019,2019/05/22,santa rita de cássia,2019,694797.0868461728 -Mata Atlântica,dário meira,8.09,2019,2019/06/01,dário meira,2019,94401.96469908953 -Cerrado,são desidério,31.73,2020,2020/04/21,são desidério,2020,3091203.197527945 -Caatinga,correntina,18.05,2020,2020/04/04,correntina,2020,1060525.6563282013 -Cerrado,cotegipe,190.24,2020,2020/02/26,cotegipe,2020,559960.0834841728 -Mata Atlântica,maraú,1.74,2020,2020/04/24,maraú,2020,170126.90513539314 -Mata Atlântica,camamu,2.74,2020,2020/04/16,camamu,2020,434741.3974044919 -Cerrado,são desidério,138.52,2020,2020/05/01,são desidério,2020,3091203.197527945 -Cerrado,barreiras,979.89,2020,2020/06/01,barreiras,2020,1179766.0970728395 -Caatinga,santa rita de cássia,5.76,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,276.82,2020,2020/02/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,itagibá,3.72,2020,2020/06/30,itagibá,2020,72102.08046793938 -Mata Atlântica,encruzilhada,29.52,2020,2020/06/26,encruzilhada,2020,451620.4507952333 -Cerrado,jaborandi,471.53,2020,2020/05/28,jaborandi,2020,1744004.154955864 -Mata Atlântica,belmonte,35.66,2020,2020/07/14,belmonte,2020,350558.8480718136 -Cerrado,baianópolis,1.88,2020,2020/07/01,baianópolis,2020,790814.9751247168 -Cerrado,baianópolis,6.95,2020,2020/07/01,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,83.97,2020,2020/09/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,7.74,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,belmonte,1.39,2020,2020/12/13,belmonte,2020,350558.8480718136 -Mata Atlântica,igrapiúna,2.29,2020,2020/12/12,igrapiúna,2020,378236.5840551853 -Mata Atlântica,belmonte,6.52,2020,2020/12/13,belmonte,2020,350558.8480718136 -Mata Atlântica,belmonte,12.35,2020,2020/12/12,belmonte,2020,350558.8480718136 -Cerrado,baianópolis,14.84,2020,2020/12/31,baianópolis,2020,790814.9751247168 -Caatinga,santa rita de cássia,4.96,2020,2020/12/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,cotegipe,13.33,2021,2021/01/29,cotegipe,2021,292547.2605621815 -Cerrado,cocos,14.64,2021,2021/03/08,cocos,2021,1229644.9681953788 -Cerrado,formosa do rio preto,12.07,2021,2021/03/10,formosa do rio preto,2021,2299737.8741800785 -Cerrado,são desidério,27.16,2021,2021/03/28,são desidério,2021,3159579.701361537 -Mata Atlântica,valença,1.84,2021,2021/04/27,valença,2021,195332.51262283325 -Cerrado,santa rita de cássia,20.46,2021,2021/05/04,santa rita de cássia,2021,998700.5789114236 -Cerrado,barreiras,9.05,2021,2021/01/01,barreiras,2021,958306.347179532 -Cerrado,riachão das neves,8.0,2021,2021/01/01,riachão das neves,2021,761963.2862440944 -Cerrado,santa rita de cássia,47.43,2021,2021/01/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,6.64,2021,2021/05/28,barra,2021,79058.81857037544 -Caatinga,santa rita de cássia,5.94,2021,2021/04/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,formosa do rio preto,70.13,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,são desidério,3.11,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,cotegipe,3.46,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Caatinga,barra,1.68,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,barra,0.89,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,6.15,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,1.72,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,cotegipe,7.41,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,cotegipe,2.6,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,correntina,2.29,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,4.84,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Caatinga,barra,1.33,2020,2020/01/01,barra,2020,139778.05993533134 -Cerrado,santa rita de cássia,16.42,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,2.77,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,1.12,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,4.42,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,riachão das neves,1.95,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,formosa do rio preto,5.23,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Caatinga,santa rita de cássia,1.19,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,jaborandi,114.93,2021,2021/08/05,jaborandi,2021,2051920.940728784 -Cerrado,formosa do rio preto,62.83,2021,2021/08/13,formosa do rio preto,2021,2299737.8741800785 -Caatinga,santa rita de cássia,375.26,2021,2021/09/11,santa rita de cássia,2021,998700.5789114236 -Caatinga,barra,18.54,2021,2021/08/01,barra,2021,79058.81857037544 -Mata Atlântica,itagibá,1.81,2021,2021/11/29,itagibá,2021,111453.28504517674 -Caatinga,santa rita de cássia,6.06,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,1.12,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,9.92,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Caatinga,santa rita de cássia,179.42,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,2.65,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,santa rita de cássia,11.45,2021,2021/11/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,5.08,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,7.86,2021,2021/12/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,jaborandi,4977.61,2021,2021/01/20,jaborandi,2021,2051920.940728784 -Caatinga,jaborandi,17.22,2021,2021/05/13,jaborandi,2021,2051920.940728784 -Cerrado,são desidério,186.73,2021,2021/05/04,são desidério,2021,3159579.701361537 -Cerrado,riachão das neves,2.98,2021,2021/02/01,riachão das neves,2021,761963.2862440944 -Caatinga,barra,284.22,2021,2021/12/01,barra,2021,79058.81857037544 -Cerrado,barreiras,3099.55,2022,2022/03/01,barreiras,2022,996163.0 -Cerrado,são desidério,139.65,2022,2022/03/09,são desidério,2022,2729422.0 -Cerrado,são desidério,46.6,2022,2022/01/01,são desidério,2022,2729422.0 -Cerrado,formosa do rio preto,93.03,2022,2022/05/15,formosa do rio preto,2022,2432263.0 -Cerrado,santa rita de cássia,6.66,2022,2022/02/01,santa rita de cássia,2022,569631.0 -Cerrado,luís eduardo magalhães,9.13,2022,2022/06/04,luís eduardo magalhães,2022,343098.0 -Mata Atlântica,valença,0.51,2022,2022/06/30,valença,2022,378871.0 -Mata Atlântica,itarantim,5.45,2022,2022/06/30,itarantim,2022,203154.0 -Cerrado,cocos,21.9,2022,2022/03/01,cocos,2022,367625.0 -Caatinga,barra,22.69,2022,2022/03/01,barra,2022,312169.0 -Cerrado,riachão das neves,4.2,2022,2022/03/01,riachão das neves,2022,670183.0 -Cerrado,correntina,1600.65,2022,2022/07/23,correntina,2022,1473135.0 -Cerrado,são desidério,227.63,2022,2022/08/02,são desidério,2022,2729422.0 -Cerrado,formosa do rio preto,4.54,2022,2022/08/01,formosa do rio preto,2022,2432263.0 -Cerrado,são desidério,511.31,2022,2022/08/02,são desidério,2022,2729422.0 -Cerrado,são desidério,69.71,2022,2022/08/04,são desidério,2022,2729422.0 -Mata Atlântica,ilhéus,0.91,2022,2022/07/31,ilhéus,2022,209209.0 -Mata Atlântica,valença,2.92,2022,2022/07/31,valença,2022,378871.0 -Cerrado,são desidério,3.86,2022,2022/09/28,são desidério,2022,2729422.0 -Caatinga,santa rita de cássia,35.81,2019,2019/09/14,santa rita de cássia,2019,694797.0868461728 -Cerrado,cocos,22.25,2019,2019/09/23,cocos,2019,959394.147064954 -Cerrado,baianópolis,14.02,2019,2019/10/13,baianópolis,2019,607436.7982445955 -Cerrado,cocos,3.22,2019,2019/10/13,cocos,2019,959394.147064954 -Mata Atlântica,belmonte,2.84,2019,2019/11/08,belmonte,2019,390403.1881421805 -Mata Atlântica,ibirapitanga,1.14,2019,2019/10/23,ibirapitanga,2019,86205.62920188904 -Mata Atlântica,igrapiúna,0.85,2019,2019/06/09,igrapiúna,2019,257694.0746061802 -Cerrado,correntina,6.28,2019,2019/01/23,correntina,2019,1545572.943816781 -Caatinga,santa rita de cássia,15.01,2019,2019/05/07,santa rita de cássia,2019,694797.0868461728 -Cerrado,barreiras,32.92,2019,2019/02/24,barreiras,2019,1568927.0175619423 -Cerrado,jaborandi,1145.3,2019,2019/06/02,jaborandi,2019,1706967.7386553884 -Cerrado,barreiras,27.18,2019,2019/04/29,barreiras,2019,1568927.0175619423 -Cerrado,são desidério,33.19,2019,2019/04/14,são desidério,2019,2024107.6610826247 -Cerrado,santa rita de cássia,19.0,2019,2019/04/29,santa rita de cássia,2019,694797.0868461728 -Caatinga,jaborandi,8.14,2019,2019/05/02,jaborandi,2019,1706967.7386553884 -Cerrado,formosa do rio preto,10.51,2019,2019/02/21,formosa do rio preto,2019,4220327.0016454905 -Cerrado,santa rita de cássia,80.42,2019,2019/01/29,santa rita de cássia,2019,694797.0868461728 -Mata Atlântica,belmonte,2.24,2019,2019/03/30,belmonte,2019,390403.1881421805 -Mata Atlântica,encruzilhada,2.78,2019,2019/04/05,encruzilhada,2019,403895.9177992344 -Mata Atlântica,camamu,6.47,2019,2019/06/09,camamu,2019,221471.44368362427 -Cerrado,baianópolis,3.29,2020,2020/04/30,baianópolis,2020,790814.9751247168 -Cerrado,riachão das neves,113.58,2020,2020/01/11,riachão das neves,2020,1085054.2665590644 -Cerrado,barreiras,1.86,2020,2020/03/29,barreiras,2020,1179766.0970728395 -Mata Atlântica,ilhéus,1.53,2020,2020/04/24,ilhéus,2020,191205.86366391185 -Mata Atlântica,itagibá,17.81,2020,2020/04/08,itagibá,2020,72102.08046793938 -Cerrado,são desidério,343.36,2020,2020/06/01,são desidério,2020,3091203.197527945 -Caatinga,santa rita de cássia,10.06,2020,2020/06/01,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,belmonte,2.14,2020,2020/06/28,belmonte,2020,350558.8480718136 -Cerrado,formosa do rio preto,12.34,2020,2020/07/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,santa rita de cássia,35.73,2020,2020/07/25,santa rita de cássia,2020,859509.3606863022 -Cerrado,correntina,1.53,2020,2020/07/01,correntina,2020,1060525.6563282013 -Cerrado,baianópolis,3.01,2020,2020/07/01,baianópolis,2020,790814.9751247168 -Cerrado,cocos,2.53,2020,2020/07/01,cocos,2020,1218387.32458961 -Caatinga,correntina,7.34,2020,2020/09/01,correntina,2020,1060525.6563282013 -Cerrado,luís eduardo magalhães,5.36,2020,2020/09/01,luís eduardo magalhães,2020,1523413.1056941748 -Mata Atlântica,camamu,2.52,2020,2020/09/08,camamu,2020,434741.3974044919 -Cerrado,santa rita de cássia,50.46,2020,2020/09/24,santa rita de cássia,2020,859509.3606863022 -Mata Atlântica,encruzilhada,29.06,2020,2020/09/30,encruzilhada,2020,451620.4507952333 -Cerrado,cocos,3.48,2020,2020/10/01,cocos,2020,1218387.32458961 -Cerrado,cocos,32.03,2020,2020/10/01,cocos,2020,1218387.32458961 -Caatinga,santa rita de cássia,5.35,2020,2020/11/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,83.86,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 -Cerrado,santa rita de cássia,100.78,2020,2020/12/17,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,41.37,2021,2021/01/23,baianópolis,2021,1700892.2622466087 -Caatinga,santa rita de cássia,2.24,2021,2021/02/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,são desidério,330.84,2021,2021/03/28,são desidério,2021,3159579.701361537 -Cerrado,jaborandi,17.3,2021,2021/03/13,jaborandi,2021,2051920.940728784 -Cerrado,luís eduardo magalhães,800.38,2021,2021/03/28,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,santa rita de cássia,7.94,2021,2021/04/20,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,maraú,0.85,2021,2021/04/19,maraú,2021,103211.31101250648 -Caatinga,jequié,2.84,2021,2021/04/27,jequié,2021,163926.43447589874 -Cerrado,são desidério,3.22,2021,2021/01/01,são desidério,2021,3159579.701361537 -Cerrado,correntina,0.79,2021,2021/01/01,correntina,2021,1585476.3940644264 -Cerrado,baianópolis,1.68,2021,2021/03/01,baianópolis,2021,1700892.2622466087 -Cerrado,jaborandi,22.03,2021,2021/05/07,jaborandi,2021,2051920.940728784 -Caatinga,santa rita de cássia,30.18,2021,2021/05/22,santa rita de cássia,2021,998700.5789114236 -Cerrado,cocos,253.16,2021,2021/05/30,cocos,2021,1229644.9681953788 -Caatinga,cotegipe,22.74,2021,2021/05/30,cotegipe,2021,292547.2605621815 -Caatinga,cotegipe,3.28,2020,2020/01/01,cotegipe,2020,559960.0834841728 -Cerrado,são desidério,1.45,2020,2020/01/01,são desidério,2020,3091203.197527945 -Caatinga,santa rita de cássia,3.36,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,barra,0.89,2020,2020/01/01,barra,2020,139778.05993533134 -Caatinga,santa rita de cássia,1.76,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Caatinga,santa rita de cássia,6.08,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,7.71,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Caatinga,jaborandi,2.79,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,baianópolis,3.28,2020,2020/01/01,baianópolis,2020,790814.9751247168 -Cerrado,são desidério,6.46,2020,2020/01/01,são desidério,2020,3091203.197527945 -Cerrado,jaborandi,3.77,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,correntina,2.98,2020,2020/01/01,correntina,2020,1060525.6563282013 -Cerrado,formosa do rio preto,46.42,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,formosa do rio preto,2.21,2020,2020/01/01,formosa do rio preto,2020,3073766.4334418774 -Cerrado,barreiras,10.05,2020,2020/01/01,barreiras,2020,1179766.0970728395 -Cerrado,santa rita de cássia,23.81,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,riachão das neves,43.7,2020,2020/01/01,riachão das neves,2020,1085054.2665590644 -Cerrado,jaborandi,16.03,2020,2020/01/01,jaborandi,2020,1744004.154955864 -Cerrado,santa rita de cássia,3.46,2020,2020/01/01,santa rita de cássia,2020,859509.3606863022 -Cerrado,baianópolis,174.9,2021,2021/07/01,baianópolis,2021,1700892.2622466087 -Cerrado,jaborandi,17.0,2021,2021/07/13,jaborandi,2021,2051920.940728784 -Caatinga,barra,1.34,2021,2021/06/01,barra,2021,79058.81857037544 -Cerrado,baianópolis,6.29,2021,2021/09/26,baianópolis,2021,1700892.2622466087 -Cerrado,santa rita de cássia,38.5,2021,2021/09/23,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,itagibá,4.33,2021,2021/10/04,itagibá,2021,111453.28504517674 -Cerrado,baianópolis,77.99,2021,2021/08/01,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,9.91,2021,2021/11/17,baianópolis,2021,1700892.2622466087 -Cerrado,santa rita de cássia,10.84,2021,2021/11/17,santa rita de cássia,2021,998700.5789114236 -Mata Atlântica,itambé,2.24,2021,2021/12/01,itambé,2021,65263.4872546196 -Caatinga,santa rita de cássia,1.26,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,santa rita de cássia,2.92,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Caatinga,cotegipe,4.83,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Caatinga,barra,0.92,2021,2021/11/01,barra,2021,79058.81857037544 -Caatinga,cotegipe,27.81,2021,2021/05/25,cotegipe,2021,292547.2605621815 -Cerrado,luís eduardo magalhães,135.33,2021,2021/05/30,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,são desidério,2238.44,2021,2021/06/11,são desidério,2021,3159579.701361537 -Cerrado,riachão das neves,1.74,2021,2021/02/01,riachão das neves,2021,761963.2862440944 -Caatinga,santa rita de cássia,0.75,2021,2021/09/01,santa rita de cássia,2021,998700.5789114236 -Cerrado,cotegipe,56.34,2021,2021/09/01,cotegipe,2021,292547.2605621815 -Cerrado,cocos,101.3,2021,2021/12/01,cocos,2021,1229644.9681953788 -Mata Atlântica,encruzilhada,41.39,2022,2022/02/28,encruzilhada,2022,414662.0 -Mata Atlântica,itapetinga,27.93,2022,2022/03/31,itapetinga,2022,285382.0 -Cerrado,barreiras,2262.46,2022,2022/01/22,barreiras,2022,996163.0 -Cerrado,jaborandi,2027.38,2022,2022/01/11,jaborandi,2022,1734316.0 -Cerrado,formosa do rio preto,16.34,2022,2022/01/25,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,26.81,2022,2022/01/25,formosa do rio preto,2022,2432263.0 -Cerrado,barreiras,169.7,2022,2022/01/25,barreiras,2022,996163.0 -Cerrado,luís eduardo magalhães,224.27,2022,2022/04/22,luís eduardo magalhães,2022,343098.0 -Mata Atlântica,jequié,8.68,2022,2022/06/30,jequié,2022,498001.0 -Cerrado,correntina,7.41,2022,2022/03/01,correntina,2022,1473135.0 -Cerrado,baianópolis,12.46,2022,2022/03/01,baianópolis,2022,413632.0 -Caatinga,santa rita de cássia,2.71,2022,2022/03/01,santa rita de cássia,2022,569631.0 -Cerrado,cotegipe,79.07,2022,2022/03/01,cotegipe,2022,297663.0 -Cerrado,cotegipe,3.84,2022,2022/03/01,cotegipe,2022,297663.0 -Caatinga,barra,1.57,2022,2022/04/01,barra,2022,312169.0 -Caatinga,cocos,26.15,2022,2022/05/01,cocos,2022,367625.0 -Mata Atlântica,ilhéus,9.13,2022,2022/07/31,ilhéus,2022,209209.0 -Cerrado,são desidério,178.7,2022,2022/09/03,são desidério,2022,2729422.0 -Cerrado,são desidério,40.21,2022,2022/09/06,são desidério,2022,2729422.0 -Cerrado,luís eduardo magalhães,36.29,2022,2022/09/16,luís eduardo magalhães,2022,343098.0 -Cerrado,cocos,16.47,2022,2022/09/01,cocos,2022,367625.0 -Cerrado,formosa do rio preto,12342.73,2022,2022/03/01,formosa do rio preto,2022,2432263.0 -Cerrado,formosa do rio preto,7652.3,2022,2022/04/04,formosa do rio preto,2022,2432263.0 -Cerrado,correntina,198.74,2021,2021/07/28,correntina,2021,1585476.3940644264 -Cerrado,baianópolis,7.42,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,cocos,13.99,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,7.72,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,são desidério,18.37,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,luís eduardo magalhães,21.72,2021,2021/07/28,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,são desidério,2.62,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,são desidério,11.58,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,são desidério,27.12,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,santa rita de cássia,10.46,2021,2021/07/28,santa rita de cássia,2021,998700.5789114236 -Cerrado,são desidério,18.74,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,riachão das neves,13.65,2021,2021/07/28,riachão das neves,2021,761963.2862440944 -Cerrado,jaborandi,74.66,2021,2021/07/28,jaborandi,2021,2051920.940728784 -Cerrado,cotegipe,10.03,2021,2021/08/22,cotegipe,2021,292547.2605621815 -Cerrado,cotegipe,19.7,2021,2021/08/22,cotegipe,2021,292547.2605621815 -Cerrado,baianópolis,63.88,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,luís eduardo magalhães,26.39,2021,2021/07/28,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,cocos,2.05,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,jaborandi,2.36,2021,2021/07/05,jaborandi,2021,2051920.940728784 -Cerrado,cocos,3.83,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,são desidério,135.3,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,são desidério,9.1,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,cocos,3.01,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,1.55,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,1.91,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,1.15,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,5.09,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,16.89,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,2.91,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,5.28,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,2.6,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,barreiras,8.3,2021,2021/07/28,barreiras,2021,958306.347179532 -Cerrado,são desidério,1.36,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,formosa do rio preto,5.52,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,riachão das neves,3.11,2021,2021/07/28,riachão das neves,2021,761963.2862440944 -Cerrado,santa rita de cássia,1.9,2021,2021/07/28,santa rita de cássia,2021,998700.5789114236 -Cerrado,formosa do rio preto,3.21,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,1.4,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,7.86,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,65.08,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,7.04,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,correntina,2.69,2021,2021/08/22,correntina,2021,1585476.3940644264 -Cerrado,baianópolis,2.94,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,5.5,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,2.82,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,9.26,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,são desidério,1.64,2021,2021/08/22,são desidério,2021,3159579.701361537 -Cerrado,baianópolis,6.63,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,correntina,5.91,2021,2021/08/22,correntina,2021,1585476.3940644264 -Cerrado,jaborandi,2.06,2021,2021/08/22,jaborandi,2021,2051920.940728784 -Cerrado,correntina,3.36,2021,2021/08/22,correntina,2021,1585476.3940644264 -Cerrado,cotegipe,2.92,2021,2021/08/22,cotegipe,2021,292547.2605621815 -Cerrado,baianópolis,5.19,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,3.34,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,0.99,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,3.02,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,são desidério,4.11,2021,2021/08/22,são desidério,2021,3159579.701361537 -Cerrado,baianópolis,3.62,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,são desidério,2.55,2021,2021/08/22,são desidério,2021,3159579.701361537 -Cerrado,correntina,3.46,2021,2021/08/22,correntina,2021,1585476.3940644264 -Cerrado,jaborandi,8.58,2021,2021/08/22,jaborandi,2021,2051920.940728784 -Cerrado,cotegipe,5.34,2021,2021/08/22,cotegipe,2021,292547.2605621815 -Cerrado,baianópolis,3.34,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,cotegipe,1.22,2021,2021/08/22,cotegipe,2021,292547.2605621815 -Cerrado,baianópolis,9.55,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,cotegipe,0.33,2021,2021/08/22,cotegipe,2021,292547.2605621815 -Cerrado,jaborandi,102.91,2021,2021/07/28,jaborandi,2021,2051920.940728784 -Cerrado,são desidério,2.09,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,são desidério,3.05,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,luís eduardo magalhães,6.31,2021,2021/07/28,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,são desidério,1.76,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,são desidério,4.65,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,são desidério,2.56,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,são desidério,1.25,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,correntina,5.2,2021,2021/07/28,correntina,2021,1585476.3940644264 -Cerrado,são desidério,2.97,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,formosa do rio preto,5.26,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,64.54,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,1.7,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,santa rita de cássia,3.77,2021,2021/07/28,santa rita de cássia,2021,998700.5789114236 -Cerrado,são desidério,1.11,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,jaborandi,2.67,2021,2021/07/28,jaborandi,2021,2051920.940728784 -Cerrado,riachão das neves,5.08,2021,2021/07/28,riachão das neves,2021,761963.2862440944 -Cerrado,cocos,2.91,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,1.17,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,1.57,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,são desidério,4.45,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,cocos,3.14,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,1.23,2021,2021/07/28,cocos,2021,1229644.9681953788 -Cerrado,cocos,4.2,2021,2021/07/28,cocos,2021,1229644.9681953788 -Cerrado,correntina,3.4,2021,2021/07/28,correntina,2021,1585476.3940644264 -Cerrado,correntina,5.99,2021,2021/07/28,correntina,2021,1585476.3940644264 -Cerrado,correntina,1.83,2021,2021/07/28,correntina,2021,1585476.3940644264 -Cerrado,correntina,1.99,2021,2021/07/28,correntina,2021,1585476.3940644264 -Cerrado,formosa do rio preto,1.89,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,2.98,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,11.18,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,santa rita de cássia,2.64,2021,2021/07/05,santa rita de cássia,2021,998700.5789114236 -Cerrado,cotegipe,7.59,2021,2021/08/22,cotegipe,2021,292547.2605621815 -Cerrado,cotegipe,1.78,2021,2021/08/22,cotegipe,2021,292547.2605621815 -Cerrado,baianópolis,1.68,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,cocos,6.48,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,10.04,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,baianópolis,7.34,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,2.93,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,3.93,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,baianópolis,7.77,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,são desidério,2.85,2021,2021/08/22,são desidério,2021,3159579.701361537 -Cerrado,formosa do rio preto,8.97,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,correntina,4.3,2021,2021/07/28,correntina,2021,1585476.3940644264 -Cerrado,são desidério,2.75,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,são desidério,6.18,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,correntina,2.15,2021,2021/07/28,correntina,2021,1585476.3940644264 -Cerrado,são desidério,2.09,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,riachão das neves,1.11,2021,2021/07/28,riachão das neves,2021,761963.2862440944 -Cerrado,correntina,2.34,2021,2021/07/28,correntina,2021,1585476.3940644264 -Cerrado,cocos,0.92,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,cocos,3.71,2021,2021/07/05,cocos,2021,1229644.9681953788 -Cerrado,riachão das neves,11.58,2021,2021/07/28,riachão das neves,2021,761963.2862440944 -Cerrado,são desidério,3.06,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,correntina,7.63,2021,2021/07/28,correntina,2021,1585476.3940644264 -Cerrado,formosa do rio preto,12.4,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,cocos,13.06,2021,2021/07/28,cocos,2021,1229644.9681953788 -Cerrado,correntina,2.3,2021,2021/07/28,correntina,2021,1585476.3940644264 -Cerrado,são desidério,2.26,2021,2021/08/22,são desidério,2021,3159579.701361537 -Cerrado,formosa do rio preto,13.24,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,formosa do rio preto,5.27,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,baianópolis,1.99,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,correntina,190.62,2021,2021/07/28,correntina,2021,1585476.3940644264 -Cerrado,são desidério,1.01,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,formosa do rio preto,4.26,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,cotegipe,2.62,2021,2021/08/22,cotegipe,2021,292547.2605621815 -Cerrado,baianópolis,2.51,2021,2021/08/22,baianópolis,2021,1700892.2622466087 -Cerrado,são desidério,4.59,2021,2021/08/22,são desidério,2021,3159579.701361537 -Cerrado,correntina,1.07,2021,2021/08/22,correntina,2021,1585476.3940644264 -Cerrado,barreiras,2.88,2021,2021/07/28,barreiras,2021,958306.347179532 -Cerrado,são desidério,43.02,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,barreiras,2.26,2021,2021/07/28,barreiras,2021,958306.347179532 -Cerrado,luís eduardo magalhães,1.71,2021,2021/07/28,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,formosa do rio preto,125.94,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,luís eduardo magalhães,57.11,2021,2021/07/28,luís eduardo magalhães,2021,654262.0002045631 -Cerrado,jaborandi,56.12,2021,2021/07/28,jaborandi,2021,2051920.940728784 -Cerrado,formosa do rio preto,4.08,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,são desidério,6.35,2021,2021/07/28,são desidério,2021,3159579.701361537 -Cerrado,formosa do rio preto,4.08,2021,2021/07/28,formosa do rio preto,2021,2299737.8741800785 -Cerrado,jaborandi,3.22,2021,2021/07/28,jaborandi,2021,2051920.940728784 -Cerrado,riachão das neves,30.58,2021,2021/07/28,riachão das neves,2021,761963.2862440944 -Cerrado,barreiras,6.69,2021,2021/07/28,barreiras,2021,958306.347179532 -Cerrado,cotegipe,1.58,2021,2021/08/22,cotegipe,2021,292547.2605621815 -Cerrado,cotegipe,2.98,2021,2021/08/22,cotegipe,2021,292547.2605621815 From d913512a009a74c238d78fa8c9dacdcbe2e9fb8a Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 17:22:29 -0300 Subject: [PATCH 59/90] Rename SEEG.csv to SEEG_total.csv --- dados/{SEEG.csv => SEEG_total.csv} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename dados/{SEEG.csv => SEEG_total.csv} (100%) diff --git a/dados/SEEG.csv b/dados/SEEG_total.csv similarity index 100% rename from dados/SEEG.csv rename to dados/SEEG_total.csv From 70c709222a8fd57a90590718737c1247d7fc153f Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 17:22:40 -0300 Subject: [PATCH 60/90] Rename SEEG1.csv to SEEG.csv --- dados/{SEEG1.csv => SEEG.csv} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename dados/{SEEG1.csv => SEEG.csv} (100%) diff --git a/dados/SEEG1.csv b/dados/SEEG.csv similarity index 100% rename from dados/SEEG1.csv rename to dados/SEEG.csv From 6ddfe4154b9e8914e4b16ac72db06d2be400d19e Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 17:23:11 -0300 Subject: [PATCH 61/90] Criado usando o Colab --- projeto_final_paloma_anne.ipynb | 2795 +++++++++++++++++++++++++++++++ 1 file changed, 2795 insertions(+) create mode 100644 projeto_final_paloma_anne.ipynb diff --git a/projeto_final_paloma_anne.ipynb b/projeto_final_paloma_anne.ipynb new file mode 100644 index 0000000..b43b925 --- /dev/null +++ b/projeto_final_paloma_anne.ipynb @@ -0,0 +1,2795 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Projeto Final de Análise de Dados**\n", + "\n", + "Desenvolvido por:\n", + "\n", + "Paloma Avena palomaavena@gmail.com\n", + "\n", + "Anne Ribeiro anne.asribeiro@gmail.com\n", + "\n" + ], + "metadata": { + "id": "4nPdko9j_PEt" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Contexto**\n", + "\n", + "Nos últimos anos, a questão do desmatamento e suas consequências ambientais têm se tornado uma preocupação crescente. A Bahia, por ser um estado de grande diversidade biológica, possui áreas significativas de florestas e biomas que desempenham um papel vital na regulação climática. O desmatamento pode impactar diretamente as emissões de dióxido de carbono (CO₂), contribuindo para o aquecimento global e alterações climáticas." + ], + "metadata": { + "id": "WIMvI1tp_XVU" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Etapas do projeto:**\n", + "\n", + "\n", + "1. Selecionar a Base de Dados\n", + "2. Definir Objetivo e Perguntas\n", + "3. Realizar Análise Exploratória\n", + "4. Gerar Base Final\n", + "5. Criar Visualizações no Tableau\n", + "6. Preparar Apresentação Final\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "metadata": { + "id": "uk5GxJpZ_ouB" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Bases de dados **\n", + "\n", + "Base 1: MapBiomas Alertas\n", + "https://plataforma.alerta.mapbiomas.org/downloads\n", + "\n", + "Dados de áreas(ha) desmatada por Municipío, Fator de pressão e Biomas no estado da Bahia.\n", + "\n", + "Base 2: Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)\n", + "https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA..\n", + "\n", + "\n", + "Dados de CO2 em toneladas por Municípios e Biomas de Mudanças e usos do solo e floresta." + ], + "metadata": { + "id": "vqYQ20MD_orK" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Objetivo Geral:**\n", + "\n", + "Este projeto tem como objetivo analisar os dados de desmatamento e emissões de CO₂ no estado da Bahia entre 2019 e 2022, a fim de entender como o desmatamento tem impactado as emissões de carbono no período da Pandemia.\n" + ], + "metadata": { + "id": "ZypjoEDB_ooh" + } + }, + { + "cell_type": "markdown", + "source": [ + "**As perguntas norteadoras deste projeto são:**\n", + "\n", + "1. Como o desmatamento na Bahia impacta as taxas de emissão de CO₂?\n", + "2. Qual a taxa de desmatamento nos municípios e biomas da Bahia entre 2019 e 2022?\n", + "3. Existe uma correlação entre as áreas desmatadas e o aumento das emissões de CO₂?\n", + "4. Como a pandemia afetou as taxas de desmatamento e emissões de CO₂?\n" + ], + "metadata": { + "id": "mrO_v4O1_olp" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Desafios:**\n", + "\n", + "1. Identificar regiões com maior desmatamento e correlacionar com dados de emissões.\n", + "2. Avaliar se as políticas públicas e ações de preservação tiveram impacto nos índices de desmatamento durante o período estudado.\n", + "3. Analisar o efeito da pandemia nas taxas de desmatamento e emissões.\n", + "\n", + "**Direcionamentos:**\n", + "\n", + "Para abordar esses desafios, criamos uma base de dados unificada com as informações de desmatamento e emissões de CO₂.\n", + "\n", + "Utilizamos técnicas de análise de dados para identificar padrões e correlações entre as variáveis:\n", + "\n", + "1. Análise temporal: Avaliamos a evolução do desmatamento e das emissões ao longo dos anos, de 2019 a 2022. Os resultados mostram picos em anos específicos, e um declínio temporário durante o período da pandemia, seguido de um aumento substancial em 2021.\n", + "\n", + "2. Correlações regionais: Mapeamos as emissões de CO₂ e áreas desmatadas por município, identificando as regiões da Bahia mais afetadas. Descobrimos que áreas como o Oeste da Bahia, caracterizadas pelo agronegócio, registram as maiores emissões.\n", + "\n", + "3. Modelos preditivos: Aplicamos regressão para prever o impacto do aumento do desmatamento nas emissões de CO₂, destacando como a degradação ambiental se traduz diretamente em maiores emissões de gases de efeito estufa.\n", + "\n", + "4. Impacto da pandemia: Durante a pandemia, observamos uma queda temporária nas emissões devido à redução das atividades econômicas, mas o desmatamento continuou em algumas regiões, mostrando a resiliência desse problema mesmo em crises globais." + ], + "metadata": { + "id": "RNIrgkoWZRWr" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Ferramentas Utilizadas:**\n", + "\n", + "Banco de dados\n", + "Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc.\n", + "Tableau: Para criar as visualizações finais e apresentar os insights gerados.\n", + "GitHub: Para versionamento do projeto e documentação.\n", + "Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem.\n", + "\n" + ], + "metadata": { + "id": "VV5GKSMc_oia" + } + }, + { + "cell_type": "markdown", + "source": [ + "Instalando o **Python**: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador.\n", + "\n", + "Instalando o **Visual Studio Code (VS Code)**: Acesse o site (https://code.visualstudio.com/).\n", + "\n", + "**Extensões** que irão tornar o processo de desenvolvimento mais simples e intuitivo:\n", + "\n", + "SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos SQLite (.db), executar consultas SQL, visualizar dados e até mesmo criar tabelas e colunas diretamente no VS Code.\n", + "\n", + "SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros.\n", + "\n", + "\n", + "**Bibliotecas e módulos:**\n", + "\n", + "sqlite3\n", + "csv\n", + "Pandas\n", + "Seaborn\n", + "Matplotlib\n" + ], + "metadata": { + "id": "n33nNlCqgZFC" + } + }, + { + "cell_type": "markdown", + "source": [ + "\n", + "**Análise exploratória de dados**\n", + "\n" + ], + "metadata": { + "id": "miL-Xxpd_niS" + } + }, + { + "cell_type": "markdown", + "source": [ + "**1. DADOS DE CO2 - SEEG**\n", + "\n", + "\n", + "Vamos utilizar a coluna 'categoria'= municipio e total de co2 emitido em tonelada por vetor de emissão, no caso 'Mudança de Uso da Terra e Floresta' dos anos de 2019 a 2022.\n" + ], + "metadata": { + "id": "c48LiFSG_Fft" + } + }, + { + "cell_type": "markdown", + "source": [ + "Coleta de dados CO2 Bahia, SEEG:\n", + "\n", + "\n", + "link: https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-bahia&_gl=1*gambxz*_ga*MTk5NTgxNjM5MS4xNzI1NjQzNTE1*_ga_XZWSWEJDWQ*MTcyNTY0MzUxNS4xLjAuMTcyNTY0MzUxNS4wLjAuMA..blob:https://plataforma.seeg.eco.br/845fd445-2d02-43a9-bb87-14435bfb6c1b\n", + "\n", + "\n" + ], + "metadata": { + "id": "vo84te4Y7n-P" + } + }, + { + "cell_type": "markdown", + "source": [ + "1. Importando os dados das planilhas" + ], + "metadata": { + "id": "rfcw5b-JebFU" + } + }, + { + "cell_type": "code", + "source": [ + "# 1. Importando os dados das planilhas\n", + "\n", + "# Primeiro, instale a biblioteca pandas se ainda não estiver instalada\n", + "!pip install pandas\n", + "\n", + "# Importando os dados\n", + "import pandas as pd\n", + "import csv\n", + "\n", + "# Carregando os dois arquivos CSV\n", + "# Caso esteja rodando localmente, altere o caminho dos arquivos, no Colab, você pode fazer upload dos arquivos e colocar o nome do arquivo abaixo:\n", + "\n", + "df1 = pd.read_csv('SEEG.csv')\n", + "\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "print(df1.head())\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dxaI-_ekeF9W", + "outputId": "a025f4a5-55b8-4755-932a-7efe98edae62" + }, + "execution_count": 34, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.2.2)\n", + "Requirement already satisfied: numpy>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from pandas) (1.26.4)\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n", + " Categoria 1990 1991 1992 \\\n", + "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", + "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", + "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", + "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", + "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", + "\n", + " 1993 1994 1995 1996 1997 \\\n", + "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", + "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", + "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", + "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", + "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", + "\n", + " 1998 ... 2013 2014 2015 2016 \\\n", + "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", + "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", + "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", + "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", + "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", + "\n", + " 2017 2018 2019 2020 2021 \\\n", + "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "\n", + " 2022 \n", + "0 2729422 \n", + "1 2432263 \n", + "2 1734316 \n", + "3 1473135 \n", + "4 996163 \n", + "\n", + "[5 rows x 34 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# 2.\n", + "df1.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "248fsSuvOBAa", + "outputId": "a0b28c07-7ef6-4f4e-d3b6-4f04c3eb63fd" + }, + "execution_count": 35, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 31 entries, 0 to 30\n", + "Data columns (total 34 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Categoria 31 non-null object \n", + " 1 1990 31 non-null float64\n", + " 2 1991 31 non-null float64\n", + " 3 1992 31 non-null float64\n", + " 4 1993 31 non-null float64\n", + " 5 1994 31 non-null float64\n", + " 6 1995 31 non-null float64\n", + " 7 1996 31 non-null float64\n", + " 8 1997 31 non-null float64\n", + " 9 1998 31 non-null float64\n", + " 10 1999 31 non-null float64\n", + " 11 2000 31 non-null float64\n", + " 12 2001 31 non-null float64\n", + " 13 2002 31 non-null float64\n", + " 14 2003 31 non-null float64\n", + " 15 2004 31 non-null float64\n", + " 16 2005 31 non-null float64\n", + " 17 2006 31 non-null float64\n", + " 18 2007 31 non-null float64\n", + " 19 2008 31 non-null float64\n", + " 20 2009 31 non-null float64\n", + " 21 2010 31 non-null float64\n", + " 22 2011 31 non-null float64\n", + " 23 2012 31 non-null float64\n", + " 24 2013 31 non-null float64\n", + " 25 2014 31 non-null float64\n", + " 26 2015 31 non-null float64\n", + " 27 2016 31 non-null float64\n", + " 28 2017 31 non-null float64\n", + " 29 2018 31 non-null float64\n", + " 30 2019 31 non-null float64\n", + " 31 2020 31 non-null float64\n", + " 32 2021 31 non-null float64\n", + " 33 2022 31 non-null int64 \n", + "dtypes: float64(32), int64(1), object(1)\n", + "memory usage: 8.4+ KB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Selecionar as colunas específicas\n", + "\n", + "df_1 = df1[['Categoria','2019', '2020', '2021', '2022']]\n", + "print(df_1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "7cGDNRgEd0wi", + "outputId": "73767348-cfdd-48ce-d5fd-9a51d6552542" + }, + "execution_count": 58, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 2019 2020 2021 \\\n", + "0 São Desidério (BA) 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 Jaborandi (BA) 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 Correntina (BA) 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 Barreiras (BA) 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "5 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 7.619633e+05 \n", + "6 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 9.987006e+05 \n", + "7 Jequié (BA) 2.491692e+05 1.862657e+05 1.639264e+05 \n", + "8 Encruzilhada (BA) 4.038959e+05 4.516205e+05 5.873154e+05 \n", + "9 Baianópolis (BA) 6.074368e+05 7.908150e+05 1.700892e+06 \n", + "10 Valença (BA) 2.476738e+05 4.276377e+05 1.953325e+05 \n", + "11 Cocos (BA) 9.593941e+05 1.218387e+06 1.229645e+06 \n", + "12 Belmonte (BA) 3.904032e+05 3.505588e+05 3.314850e+05 \n", + "13 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 6.542620e+05 \n", + "14 Barra (BA) 2.260111e+05 1.397781e+05 7.905882e+04 \n", + "15 Cotegipe (BA) 3.311638e+05 5.599601e+05 2.925473e+05 \n", + "16 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 7.243660e+04 \n", + "17 Itagibá (BA) 1.216756e+05 7.210208e+04 1.114533e+05 \n", + "18 Itapetinga (BA) 5.707418e+04 4.613513e+04 2.072777e+04 \n", + "19 Iguaí (BA) 8.222719e+04 1.274713e+05 1.559627e+05 \n", + "20 Maraú (BA) 8.020749e+04 1.701269e+05 1.032113e+05 \n", + "21 Ibicuí (BA) 1.696392e+04 3.524000e+04 2.780070e+04 \n", + "22 Guaratinga (BA) 2.117080e+05 2.516566e+05 1.717426e+05 \n", + "23 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 5.956842e+04 \n", + "24 Camamu (BA) 2.214714e+05 4.347414e+05 1.635482e+05 \n", + "25 Itambé (BA) 1.001077e+05 1.444300e+05 6.526349e+04 \n", + "26 Dário Meira (BA) 9.440196e+04 9.250477e+04 1.017979e+05 \n", + "27 Igrapiúna (BA) 2.576941e+05 3.782366e+05 1.486217e+05 \n", + "28 Ilhéus (BA) 1.588721e+05 1.912059e+05 1.317151e+05 \n", + "29 Itarantim (BA) 3.847215e+04 6.031930e+04 1.040533e+04 \n", + "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 \n", + "\n", + " 2022 \n", + "0 2729422 \n", + "1 2432263 \n", + "2 1734316 \n", + "3 1473135 \n", + "4 996163 \n", + "5 670183 \n", + "6 569631 \n", + "7 498001 \n", + "8 414662 \n", + "9 413632 \n", + "10 378871 \n", + "11 367625 \n", + "12 354868 \n", + "13 343098 \n", + "14 312169 \n", + "15 297663 \n", + "16 292758 \n", + "17 288483 \n", + "18 285382 \n", + "19 277970 \n", + "20 275953 \n", + "21 245755 \n", + "22 243882 \n", + "23 238334 \n", + "24 232571 \n", + "25 227632 \n", + "26 217077 \n", + "27 210971 \n", + "28 209209 \n", + "29 203154 \n", + "30 13978140 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Altera os nomes das colunas\n", + "\n", + "df_1.columns = ['Municípios', '2019', '2020', '2021', '2022']\n", + "print(df_1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "L6d5VRWSrfKE", + "outputId": "44f2bac5-34cf-447a-adde-1bdf9ce36523" + }, + "execution_count": 60, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 \\\n", + "0 São Desidério (BA) 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 Jaborandi (BA) 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 Correntina (BA) 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 Barreiras (BA) 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "5 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 7.619633e+05 \n", + "6 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 9.987006e+05 \n", + "7 Jequié (BA) 2.491692e+05 1.862657e+05 1.639264e+05 \n", + "8 Encruzilhada (BA) 4.038959e+05 4.516205e+05 5.873154e+05 \n", + "9 Baianópolis (BA) 6.074368e+05 7.908150e+05 1.700892e+06 \n", + "10 Valença (BA) 2.476738e+05 4.276377e+05 1.953325e+05 \n", + "11 Cocos (BA) 9.593941e+05 1.218387e+06 1.229645e+06 \n", + "12 Belmonte (BA) 3.904032e+05 3.505588e+05 3.314850e+05 \n", + "13 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 6.542620e+05 \n", + "14 Barra (BA) 2.260111e+05 1.397781e+05 7.905882e+04 \n", + "15 Cotegipe (BA) 3.311638e+05 5.599601e+05 2.925473e+05 \n", + "16 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 7.243660e+04 \n", + "17 Itagibá (BA) 1.216756e+05 7.210208e+04 1.114533e+05 \n", + "18 Itapetinga (BA) 5.707418e+04 4.613513e+04 2.072777e+04 \n", + "19 Iguaí (BA) 8.222719e+04 1.274713e+05 1.559627e+05 \n", + "20 Maraú (BA) 8.020749e+04 1.701269e+05 1.032113e+05 \n", + "21 Ibicuí (BA) 1.696392e+04 3.524000e+04 2.780070e+04 \n", + "22 Guaratinga (BA) 2.117080e+05 2.516566e+05 1.717426e+05 \n", + "23 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 5.956842e+04 \n", + "24 Camamu (BA) 2.214714e+05 4.347414e+05 1.635482e+05 \n", + "25 Itambé (BA) 1.001077e+05 1.444300e+05 6.526349e+04 \n", + "26 Dário Meira (BA) 9.440196e+04 9.250477e+04 1.017979e+05 \n", + "27 Igrapiúna (BA) 2.576941e+05 3.782366e+05 1.486217e+05 \n", + "28 Ilhéus (BA) 1.588721e+05 1.912059e+05 1.317151e+05 \n", + "29 Itarantim (BA) 3.847215e+04 6.031930e+04 1.040533e+04 \n", + "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 \n", + "\n", + " 2022 \n", + "0 2729422 \n", + "1 2432263 \n", + "2 1734316 \n", + "3 1473135 \n", + "4 996163 \n", + "5 670183 \n", + "6 569631 \n", + "7 498001 \n", + "8 414662 \n", + "9 413632 \n", + "10 378871 \n", + "11 367625 \n", + "12 354868 \n", + "13 343098 \n", + "14 312169 \n", + "15 297663 \n", + "16 292758 \n", + "17 288483 \n", + "18 285382 \n", + "19 277970 \n", + "20 275953 \n", + "21 245755 \n", + "22 243882 \n", + "23 238334 \n", + "24 232571 \n", + "25 227632 \n", + "26 217077 \n", + "27 210971 \n", + "28 209209 \n", + "29 203154 \n", + "30 13978140 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remover informações de estado (como \"(BA)\") de 'Municípios'\n", + "df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n", + "\n", + "print(df_1)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "aYveX-t4rJBb", + "outputId": "6bb2e3f3-4552-442d-bedd-a02748cfba5b" + }, + "execution_count": 61, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 2022\n", + "0 São Desidério 2.024108e+06 3.091203e+06 3.159580e+06 2729422\n", + "1 Formosa do Rio Preto 4.220327e+06 3.073766e+06 2.299738e+06 2432263\n", + "2 Jaborandi 1.706968e+06 1.744004e+06 2.051921e+06 1734316\n", + "3 Correntina 1.545573e+06 1.060526e+06 1.585476e+06 1473135\n", + "4 Barreiras 1.568927e+06 1.179766e+06 9.583063e+05 996163\n", + "5 Riachão das Neves 5.801730e+05 1.085054e+06 7.619633e+05 670183\n", + "6 Santa Rita de Cássia 6.947971e+05 8.595094e+05 9.987006e+05 569631\n", + "7 Jequié 2.491692e+05 1.862657e+05 1.639264e+05 498001\n", + "8 Encruzilhada 4.038959e+05 4.516205e+05 5.873154e+05 414662\n", + "9 Baianópolis 6.074368e+05 7.908150e+05 1.700892e+06 413632\n", + "10 Valença 2.476738e+05 4.276377e+05 1.953325e+05 378871\n", + "11 Cocos 9.593941e+05 1.218387e+06 1.229645e+06 367625\n", + "12 Belmonte 3.904032e+05 3.505588e+05 3.314850e+05 354868\n", + "13 Luís Eduardo Magalhães 8.004357e+05 1.523413e+06 6.542620e+05 343098\n", + "14 Barra 2.260111e+05 1.397781e+05 7.905882e+04 312169\n", + "15 Cotegipe 3.311638e+05 5.599601e+05 2.925473e+05 297663\n", + "16 Ibirapitanga 8.620563e+04 2.963629e+05 7.243660e+04 292758\n", + "17 Itagibá 1.216756e+05 7.210208e+04 1.114533e+05 288483\n", + "18 Itapetinga 5.707418e+04 4.613513e+04 2.072777e+04 285382\n", + "19 Iguaí 8.222719e+04 1.274713e+05 1.559627e+05 277970\n", + "20 Maraú 8.020749e+04 1.701269e+05 1.032113e+05 275953\n", + "21 Ibicuí 1.696392e+04 3.524000e+04 2.780070e+04 245755\n", + "22 Guaratinga 2.117080e+05 2.516566e+05 1.717426e+05 243882\n", + "23 Nilo Peçanha 9.027649e+04 1.546260e+05 5.956842e+04 238334\n", + "24 Camamu 2.214714e+05 4.347414e+05 1.635482e+05 232571\n", + "25 Itambé 1.001077e+05 1.444300e+05 6.526349e+04 227632\n", + "26 Dário Meira 9.440196e+04 9.250477e+04 1.017979e+05 217077\n", + "27 Igrapiúna 2.576941e+05 3.782366e+05 1.486217e+05 210971\n", + "28 Ilhéus 1.588721e+05 1.912059e+05 1.317151e+05 209209\n", + "29 Itarantim 3.847215e+04 6.031930e+04 1.040533e+04 203154\n", + "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 13978140\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Converta todas as colunas de anos para inteiro\n", + "\n", + "df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int)\n", + "\n", + "print(df_1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "6toQkSKTetTx", + "outputId": "efdc78f2-2b17-4596-809b-709544fb5b72" + }, + "execution_count": 65, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 2022\n", + "0 São Desidério 2024107 3091203 3159579 2729422\n", + "1 Formosa do Rio Preto 4220327 3073766 2299737 2432263\n", + "2 Jaborandi 1706967 1744004 2051920 1734316\n", + "3 Correntina 1545572 1060525 1585476 1473135\n", + "4 Barreiras 1568927 1179766 958306 996163\n", + "5 Riachão das Neves 580173 1085054 761963 670183\n", + "6 Santa Rita de Cássia 694797 859509 998700 569631\n", + "7 Jequié 249169 186265 163926 498001\n", + "8 Encruzilhada 403895 451620 587315 414662\n", + "9 Baianópolis 607436 790814 1700892 413632\n", + "10 Valença 247673 427637 195332 378871\n", + "11 Cocos 959394 1218387 1229644 367625\n", + "12 Belmonte 390403 350558 331485 354868\n", + "13 Luís Eduardo Magalhães 800435 1523413 654262 343098\n", + "14 Barra 226011 139778 79058 312169\n", + "15 Cotegipe 331163 559960 292547 297663\n", + "16 Ibirapitanga 86205 296362 72436 292758\n", + "17 Itagibá 121675 72102 111453 288483\n", + "18 Itapetinga 57074 46135 20727 285382\n", + "19 Iguaí 82227 127471 155962 277970\n", + "20 Maraú 80207 170126 103211 275953\n", + "21 Ibicuí 16963 35239 27800 245755\n", + "22 Guaratinga 211708 251656 171742 243882\n", + "23 Nilo Peçanha 90276 154625 59568 238334\n", + "24 Camamu 221471 434741 163548 232571\n", + "25 Itambé 100107 144429 65263 227632\n", + "26 Dário Meira 94401 92504 101797 217077\n", + "27 Igrapiúna 257694 378236 148621 210971\n", + "28 Ilhéus 158872 191205 131715 209209\n", + "29 Itarantim 38472 60319 10405 203154\n", + "30 Outros 15546451 13047762 13420866 13978140\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":3: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Contagem de valores nulos em cada coluna\n", + "\n", + "nulos_por_coluna1 = df_1.isnull().sum()\n", + "print(nulos_por_coluna1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4MuBo8vKgg6H", + "outputId": "f97af53b-c533-461c-a120-02c63b956265" + }, + "execution_count": 66, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Municípios 0\n", + "2019 0\n", + "2020 0\n", + "2021 0\n", + "2022 0\n", + "dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remove linhas duplicadas\n", + "\n", + "df_sem_duplicatas1 = df_1.drop_duplicates()\n", + "print(df_sem_duplicatas1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "1ugZRlahiJ9B", + "outputId": "3acbe939-6b7a-49c2-fe03-52fd28590895" + }, + "execution_count": 67, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 2022\n", + "0 São Desidério 2024107 3091203 3159579 2729422\n", + "1 Formosa do Rio Preto 4220327 3073766 2299737 2432263\n", + "2 Jaborandi 1706967 1744004 2051920 1734316\n", + "3 Correntina 1545572 1060525 1585476 1473135\n", + "4 Barreiras 1568927 1179766 958306 996163\n", + "5 Riachão das Neves 580173 1085054 761963 670183\n", + "6 Santa Rita de Cássia 694797 859509 998700 569631\n", + "7 Jequié 249169 186265 163926 498001\n", + "8 Encruzilhada 403895 451620 587315 414662\n", + "9 Baianópolis 607436 790814 1700892 413632\n", + "10 Valença 247673 427637 195332 378871\n", + "11 Cocos 959394 1218387 1229644 367625\n", + "12 Belmonte 390403 350558 331485 354868\n", + "13 Luís Eduardo Magalhães 800435 1523413 654262 343098\n", + "14 Barra 226011 139778 79058 312169\n", + "15 Cotegipe 331163 559960 292547 297663\n", + "16 Ibirapitanga 86205 296362 72436 292758\n", + "17 Itagibá 121675 72102 111453 288483\n", + "18 Itapetinga 57074 46135 20727 285382\n", + "19 Iguaí 82227 127471 155962 277970\n", + "20 Maraú 80207 170126 103211 275953\n", + "21 Ibicuí 16963 35239 27800 245755\n", + "22 Guaratinga 211708 251656 171742 243882\n", + "23 Nilo Peçanha 90276 154625 59568 238334\n", + "24 Camamu 221471 434741 163548 232571\n", + "25 Itambé 100107 144429 65263 227632\n", + "26 Dário Meira 94401 92504 101797 217077\n", + "27 Igrapiúna 257694 378236 148621 210971\n", + "28 Ilhéus 158872 191205 131715 209209\n", + "29 Itarantim 38472 60319 10405 203154\n", + "30 Outros 15546451 13047762 13420866 13978140\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Transformar os dados para um formato longo (melt)\n", + "\n", + "df_sem_duplicatas1 = pd.melt(df_1, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido')\n", + "\n", + "print(df_sem_duplicatas1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LZkN9n9JkTVG", + "outputId": "b1ae7152-4ce0-4fe4-cf10-e7b85ecf2873" + }, + "execution_count": 68, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 São Desidério 2019 2024107\n", + "1 Formosa do Rio Preto 2019 4220327\n", + "2 Jaborandi 2019 1706967\n", + "3 Correntina 2019 1545572\n", + "4 Barreiras 2019 1568927\n", + ".. ... ... ...\n", + "119 Dário Meira 2022 217077\n", + "120 Igrapiúna 2022 210971\n", + "121 Ilhéus 2022 209209\n", + "122 Itarantim 2022 203154\n", + "123 Outros 2022 13978140\n", + "\n", + "[124 rows x 3 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Calcular o total da coluna 'valor'\n", + "valor_total = df1['2022'].sum()\n", + "print(\"O valor total da coluna 'valor' é:\", valor_total)" + ], + "metadata": { + "id": "ONOhelsVZ1g8", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "28481b77-4423-4409-8485-ef0a1f19870a" + }, + "execution_count": 69, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "O valor total da coluna 'valor' é: 31412973\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Salvando o arquivo final em um novo CSV\n", + "\n", + "df_sem_duplicatas1.to_csv('co2.csv', index=False, encoding='utf-8')\n", + "\n", + "print(df_sem_duplicatas1)\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rAUV5SOqQPex", + "outputId": "55a2801b-2811-450b-f930-13af6a50c926" + }, + "execution_count": 72, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 São Desidério 2019 2024107\n", + "1 Formosa do Rio Preto 2019 4220327\n", + "2 Jaborandi 2019 1706967\n", + "3 Correntina 2019 1545572\n", + "4 Barreiras 2019 1568927\n", + ".. ... ... ...\n", + "119 Dário Meira 2022 217077\n", + "120 Igrapiúna 2022 210971\n", + "121 Ilhéus 2022 209209\n", + "122 Itarantim 2022 203154\n", + "123 Outros 2022 13978140\n", + "\n", + "[124 rows x 3 columns]\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**2. DADOS DESMATAMENTO - MAPBIOMAS**" + ], + "metadata": { + "id": "4b3RXVJPee-P" + } + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ], + "metadata": { + "id": "GGWC3zlhehXu" + }, + "execution_count": 46, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# importando dados\n", + "\n", + "df3 = pd.read_csv('mapbiomas_ba.csv')\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df3.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dOTnbHapgsxF", + "outputId": "0275eb8c-7c99-47b4-eb44-c28b34f6f2d6" + }, + "execution_count": 47, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " CODEALERTA FONTE BIOMA ESTADO MUNICIPIO AREAHA \\\n", + "0 1226926 {SAD-CAATINGA} Caatinga BAHIA Iaçu 2.96 \n", + "1 1226922 {SAD-CAATINGA} Caatinga BAHIA Miguel Calmon 1.69 \n", + "2 1227303 {SAD-CAATINGA} Caatinga BAHIA Buritirama 2.05 \n", + "3 1227296 {SAD-CAATINGA} Caatinga BAHIA Piatã 0.69 \n", + "4 1227291 {SAD-CAATINGA} Caatinga BAHIA Cotegipe 23.97 \n", + "\n", + " ANODETEC DATADETEC DTIMGANT DTIMGDEP DTPUBLI VPRESSAO \n", + "0 2024.0 2024/01/01 2023/01/26 2024/02/14 2024/04/30 agriculture \n", + "1 2024.0 2024/01/01 2023/06/30 2024/01/31 2024/04/30 agriculture \n", + "2 2024.0 2024/01/01 2023/03/17 2023/10/10 2024/04/30 agriculture \n", + "3 2024.0 2024/01/01 2023/04/27 2023/06/17 2024/04/30 agriculture \n", + "4 2024.0 2024/01/01 2023/08/12 2023/10/17 2024/04/30 agriculture \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df3.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "TUEysu1IQn2V", + "outputId": "8ad524da-855f-4137-8f30-dee044fbefed" + }, + "execution_count": 48, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 CODEALERTA 28397 non-null int64 \n", + " 1 FONTE 28397 non-null object \n", + " 2 BIOMA 28397 non-null object \n", + " 3 ESTADO 28397 non-null object \n", + " 4 MUNICIPIO 28397 non-null object \n", + " 5 AREAHA 28397 non-null float64\n", + " 6 ANODETEC 28397 non-null float64\n", + " 7 DATADETEC 28397 non-null object \n", + " 8 DTIMGANT 28397 non-null object \n", + " 9 DTIMGDEP 28397 non-null object \n", + " 10 DTPUBLI 28397 non-null object \n", + " 11 VPRESSAO 28397 non-null object \n", + "dtypes: float64(2), int64(1), object(9)\n", + "memory usage: 2.6+ MB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Converta todas as colunas de anos para int\n", + "\n", + "df3[['ANODETEC']] = df3[['ANODETEC']].astype(int)\n", + "\n", + "df3.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_0gvkwXlQnbU", + "outputId": "ca7bbc24-4b5e-4c44-f4f2-72f2db725ce4" + }, + "execution_count": 49, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 CODEALERTA 28397 non-null int64 \n", + " 1 FONTE 28397 non-null object \n", + " 2 BIOMA 28397 non-null object \n", + " 3 ESTADO 28397 non-null object \n", + " 4 MUNICIPIO 28397 non-null object \n", + " 5 AREAHA 28397 non-null float64\n", + " 6 ANODETEC 28397 non-null int64 \n", + " 7 DATADETEC 28397 non-null object \n", + " 8 DTIMGANT 28397 non-null object \n", + " 9 DTIMGDEP 28397 non-null object \n", + " 10 DTPUBLI 28397 non-null object \n", + " 11 VPRESSAO 28397 non-null object \n", + "dtypes: float64(1), int64(2), object(9)\n", + "memory usage: 2.6+ MB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remover múltiplas colunas de uma vez, temos que deixar municipio, area ha (pra calcular o desmatamento, data tec e ano)\n", + "\n", + "colunas_para_remover = ['CODEALERTA', 'FONTE', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'DATADETEC']\n", + "\n", + "df3_limpo = df3.drop(columns=colunas_para_remover)\n", + "\n", + "print(df3_limpo.head())" + ], + "metadata": { + "id": "UHR6fDjZfFf9", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "fde59c3f-e46e-4872-b185-053b24ceb5fd" + }, + "execution_count": 51, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Caatinga BAHIA Iaçu 2.96 2024 agriculture\n", + "1 Caatinga BAHIA Miguel Calmon 1.69 2024 agriculture\n", + "2 Caatinga BAHIA Buritirama 2.05 2024 agriculture\n", + "3 Caatinga BAHIA Piatã 0.69 2024 agriculture\n", + "4 Caatinga BAHIA Cotegipe 23.97 2024 agriculture\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "print(df3_limpo.info())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "WBdJUsJ9f3Yi", + "outputId": "ab7e8d10-f061-4c27-d388-404d651b971c" + }, + "execution_count": 52, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 6 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 BIOMA 28397 non-null object \n", + " 1 ESTADO 28397 non-null object \n", + " 2 MUNICIPIO 28397 non-null object \n", + " 3 AREAHA 28397 non-null float64\n", + " 4 ANODETEC 28397 non-null int64 \n", + " 5 VPRESSAO 28397 non-null object \n", + "dtypes: float64(1), int64(1), object(4)\n", + "memory usage: 1.3+ MB\n", + "None\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Verificar se tem valores faltantes\n", + "\n", + "print(df3_limpo.isnull().sum())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Jeufw3Gvf6gj", + "outputId": "52788ae4-ce1a-4110-8488-cdc39223347d" + }, + "execution_count": 53, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "BIOMA 0\n", + "ESTADO 0\n", + "MUNICIPIO 0\n", + "AREAHA 0\n", + "ANODETEC 0\n", + "VPRESSAO 0\n", + "dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df3_MUN = df3_limpo.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_MUN.head())\n", + "\n", + "df3_ANO = df3_limpo.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_ANO.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4LvRvq8pSL8G", + "outputId": "0ec49fe3-1297-47b0-dfec-892e6985cb1f" + }, + "execution_count": 54, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " MUNICIPIO AREAHA\n", + "0 Abaré 22.43\n", + "1 Abaíra 69.20\n", + "2 Acajutiba 127.70\n", + "3 Adustina 482.47\n", + "4 Aiquara 175.27\n", + " ANODETEC AREAHA\n", + "0 2019 64554.41\n", + "1 2020 113073.16\n", + "2 2021 154250.73\n", + "3 2022 227779.90\n", + "4 2023 290593.00\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Salvando o arquivo final em um novo CSV\n", + "\n", + "df3_limpo.to_csv('desmatamento.csv', index=False, encoding='utf-8')\n", + "\n", + "print(df3_limpo)" + ], + "metadata": { + "id": "Dmt95mSDi-XN", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "4f7204c9-cbfd-48f5-d6c0-306adae656eb" + }, + "execution_count": 70, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Caatinga BAHIA Iaçu 2.96 2024 agriculture\n", + "1 Caatinga BAHIA Miguel Calmon 1.69 2024 agriculture\n", + "2 Caatinga BAHIA Buritirama 2.05 2024 agriculture\n", + "3 Caatinga BAHIA Piatã 0.69 2024 agriculture\n", + "4 Caatinga BAHIA Cotegipe 23.97 2024 agriculture\n", + "... ... ... ... ... ... ...\n", + "28392 Caatinga BAHIA Guajeru 1.47 2024 agriculture\n", + "28393 Caatinga BAHIA Filadélfia 1.56 2024 agriculture\n", + "28394 Caatinga BAHIA Itaberaba 54.26 2024 agriculture\n", + "28395 Caatinga BAHIA Barra da Estiva 7.11 2024 agriculture\n", + "28396 Caatinga BAHIA Várzea da Roça 2.37 2024 agriculture\n", + "\n", + "[28397 rows x 6 columns]\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Integrando as bases de dados**" + ], + "metadata": { + "id": "_q7zkPedSmZl" + } + }, + { + "cell_type": "code", + "source": [ + "# importando dados\n", + "\n", + "df_desmatamento = pd.read_csv('desmatamento.csv')\n", + "\n", + "df_co2 = pd.read_csv('co2.csv')\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df_desmatamento.head())\n", + "\n", + "print(df_co2.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "I94Is9Ugs3l4", + "outputId": "9b690f09-4fc9-4c94-8408-848575a7cd46" + }, + "execution_count": 75, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Caatinga BAHIA Iaçu 2.96 2024 agriculture\n", + "1 Caatinga BAHIA Miguel Calmon 1.69 2024 agriculture\n", + "2 Caatinga BAHIA Buritirama 2.05 2024 agriculture\n", + "3 Caatinga BAHIA Piatã 0.69 2024 agriculture\n", + "4 Caatinga BAHIA Cotegipe 23.97 2024 agriculture\n", + " Municípios Ano CO2_emitido\n", + "0 São Desidério 2019 2024107\n", + "1 Formosa do Rio Preto 2019 4220327\n", + "2 Jaborandi 2019 1706967\n", + "3 Correntina 2019 1545572\n", + "4 Barreiras 2019 1568927\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Limpar e padronizar os nomes de municípios\n", + "\n", + "df_desmatamento['MUNICIPIO'] = df_desmatamento['MUNICIPIO'].str.strip().str.lower()\n", + "df_co2['Municípios'] = df_co2['Municípios'].str.strip().str.lower()\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df_desmatamento.head())\n", + "\n", + "print(df_co2.head())\n" + ], + "metadata": { + "id": "_NzU6L8rSa0b", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "31b0233a-709b-4382-9b1a-9289fed00af6" + }, + "execution_count": 77, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Caatinga BAHIA iaçu 2.96 2024 agriculture\n", + "1 Caatinga BAHIA miguel calmon 1.69 2024 agriculture\n", + "2 Caatinga BAHIA buritirama 2.05 2024 agriculture\n", + "3 Caatinga BAHIA piatã 0.69 2024 agriculture\n", + "4 Caatinga BAHIA cotegipe 23.97 2024 agriculture\n", + " Municípios Ano CO2_emitido\n", + "0 são desidério 2019 2024107\n", + "1 formosa do rio preto 2019 4220327\n", + "2 jaborandi 2019 1706967\n", + "3 correntina 2019 1545572\n", + "4 barreiras 2019 1568927\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remove linhas duplicadas\n", + "\n", + "df_desmatamentos = df_desmatamento.drop_duplicates()\n", + "print(df_desmatamentos)\n", + "\n", + "\n", + "df_co2s = df_co2.drop_duplicates()\n", + "print(df_co2s)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "qGcjZp3huhft", + "outputId": "c44acea9-0073-4b86-9f23-6a59f9327d8b" + }, + "execution_count": 81, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Caatinga BAHIA iaçu 2.96 2024 agriculture\n", + "1 Caatinga BAHIA miguel calmon 1.69 2024 agriculture\n", + "2 Caatinga BAHIA buritirama 2.05 2024 agriculture\n", + "3 Caatinga BAHIA piatã 0.69 2024 agriculture\n", + "4 Caatinga BAHIA cotegipe 23.97 2024 agriculture\n", + "... ... ... ... ... ... ...\n", + "28392 Caatinga BAHIA guajeru 1.47 2024 agriculture\n", + "28393 Caatinga BAHIA filadélfia 1.56 2024 agriculture\n", + "28394 Caatinga BAHIA itaberaba 54.26 2024 agriculture\n", + "28395 Caatinga BAHIA barra da estiva 7.11 2024 agriculture\n", + "28396 Caatinga BAHIA várzea da roça 2.37 2024 agriculture\n", + "\n", + "[27919 rows x 6 columns]\n", + " Municípios Ano CO2_emitido\n", + "0 são desidério 2019 2024107\n", + "1 formosa do rio preto 2019 4220327\n", + "2 jaborandi 2019 1706967\n", + "3 correntina 2019 1545572\n", + "4 barreiras 2019 1568927\n", + ".. ... ... ...\n", + "119 dário meira 2022 217077\n", + "120 igrapiúna 2022 210971\n", + "121 ilhéus 2022 209209\n", + "122 itarantim 2022 203154\n", + "123 outros 2022 13978140\n", + "\n", + "[124 rows x 3 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Realizar a junção das tabelas com base nos municípios e anos\n", + "df_integrado = pd.merge(df_desmatamentos, df_co2s, left_on=['MUNICIPIO', 'ANODETEC'], right_on=['Municípios', 'Ano'], how='inner')\n", + "\n", + "# Exibir as primeiras linhas da tabela integrada\n", + "df_integrado.head()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 206 + }, + "id": "MJTWFuyzsXWE", + "outputId": "40ebcaf4-5987-421c-95a6-2a458e9070b5" + }, + "execution_count": 123, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO \\\n", + "0 Cerrado BAHIA são desidério 12.52 2021 agriculture \n", + "1 Cerrado BAHIA luís eduardo magalhães 4.83 2021 agriculture \n", + "2 Cerrado BAHIA riachão das neves 7.41 2021 agriculture \n", + "3 Cerrado BAHIA baianópolis 2.91 2021 agriculture \n", + "4 Cerrado BAHIA santa rita de cássia 2.30 2021 agriculture \n", + "\n", + " Municípios Ano CO2_emitido \n", + "0 são desidério 2021 3159579 \n", + "1 luís eduardo magalhães 2021 654262 \n", + "2 riachão das neves 2021 761963 \n", + "3 baianópolis 2021 1700892 \n", + "4 santa rita de cássia 2021 998700 " + ], + "text/html": [ + "\n", + "
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BIOMAESTADOMUNICIPIOAREAHAANODETECVPRESSAOMunicípiosAnoCO2_emitido
0CerradoBAHIAsão desidério12.522021agriculturesão desidério20213159579
1CerradoBAHIAluís eduardo magalhães4.832021agricultureluís eduardo magalhães2021654262
2CerradoBAHIAriachão das neves7.412021agricultureriachão das neves2021761963
3CerradoBAHIAbaianópolis2.912021agriculturebaianópolis20211700892
4CerradoBAHIAsanta rita de cássia2.302021agriculturesanta rita de cássia2021998700
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BIOMAESTADOMUNICIPIOAREAHAVPRESSAOCO2_emitidoANO
0CerradoBAHIAsão desidério12.52agriculture31595792021
1CerradoBAHIAluís eduardo magalhães4.83agriculture6542622021
2CerradoBAHIAriachão das neves7.41agriculture7619632021
3CerradoBAHIAbaianópolis2.91agriculture17008922021
4CerradoBAHIAsanta rita de cássia2.30agriculture9987002021
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Dados sem outliers salvos em 'dados_sem_outliers.csv'.\")" + ], + "metadata": { + "id": "00MNkVpeNZv7" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Importar bibliotecas necessárias\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Carregar os dados integrados\n", + "df_integrado = pd.read_csv('dados_integrados.csv')\n", + "\n", + "# Exibir as primeiras linhas do DataFrame para verificar se os dados foram carregados corretamente\n", + "print(df_integrado.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "0QQgbfE9s3X_", + "outputId": "5d262ddf-3281-4f97-dd91-8166ed5833e1" + }, + "execution_count": 199, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA VPRESSAO CO2_emitido \\\n", + "0 Cerrado BAHIA são desidério 12.52 agriculture 3159579 \n", + "1 Cerrado BAHIA luís eduardo magalhães 4.83 agriculture 654262 \n", + "2 Cerrado BAHIA riachão das neves 7.41 agriculture 761963 \n", + "3 Cerrado BAHIA baianópolis 2.91 agriculture 1700892 \n", + "4 Cerrado BAHIA santa rita de cássia 2.30 agriculture 998700 \n", + "\n", + " ANO \n", + "0 2021 \n", + "1 2021 \n", + "2 2021 \n", + "3 2021 \n", + "4 2021 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Definir o estilo para os gráficos\n", + "sns.set(style=\"whitegrid\")" + ], + "metadata": { + "id": "QvbjlogE5FVE" + }, + "execution_count": 200, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# 1. Gráfico de barras: Desmatamento total por ano\n", + "plt.figure(figsize=(10,6))\n", + "sns.barplot(x='ANO', y='AREAHA', data=df_integrado, estimator=sum, ci=None, color='teal')\n", + "plt.title('Total de Área Desmatada por Ano (Bahia)', fontsize=14)\n", + "plt.xlabel('Ano', fontsize=12)\n", + "plt.ylabel('Área Desmatada (ha)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.show()\n", + "\n", + "# 2. Gráfico de barras: Emissões de CO₂ por ano\n", + "plt.figure(figsize=(10,6))\n", + "sns.barplot(x='ANO', y='CO2_emitido', data=df_integrado, estimator=sum, ci=None, color='orange')\n", + "plt.title('Emissões de CO₂ por Ano (Bahia)', fontsize=14)\n", + "plt.xlabel('Ano', fontsize=12)\n", + "plt.ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "h8SueyKp5JVU", + "outputId": "80b970c1-2f59-4153-deaf-f18df51062c1" + }, + "execution_count": 201, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":3: FutureWarning: \n", + "\n", + "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", + "\n", + " sns.barplot(x='ANO', y='AREAHA', data=df_integrado, estimator=sum, ci=None, color='teal')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":12: FutureWarning: \n", + "\n", + "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", + "\n", + " sns.barplot(x='ANO', y='CO2_emitido', data=df_integrado, estimator=sum, ci=None, color='orange')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Gráfico de barras empilhadas: Desmatamento e CO₂ emitido nos 10 municípios com mais desmatamento\n", + "plt.figure(figsize=(12,7))\n", + "\n", + "# Selecionar os 10 municípios com maiores áreas desmatadas\n", + "municipios_mais_desmatados = df_integrado.groupby('MUNICIPIO')['AREAHA'].sum().nlargest(10).index\n", + "\n", + "# Filtrar o DataFrame para incluir apenas os 10 municípios selecionados\n", + "df_municipios_desmatados = df_integrado[df_integrado['MUNICIPIO'].isin(municipios_mais_desmatados)]\n", + "\n", + "# Criar gráfico de barras empilhadas com área desmatada e CO₂ emitido\n", + "sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, hue='ANO', ci=None, palette='viridis')\n", + "plt.title('Emissões de CO₂ nos 10 Municípios com Mais Desmatamento por Ano', fontsize=14)\n", + "plt.xlabel('Município', fontsize=12)\n", + "plt.ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.legend(title='Ano')\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 865 + }, + "id": "8Ko5txG75U2l", + "outputId": "28dc4b4d-046c-4ac5-9391-854a5e0c9e4a" + }, + "execution_count": 202, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":11: FutureWarning: \n", + "\n", + "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", + "\n", + " sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, hue='ANO', ci=None, palette='viridis')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Gráfico de barras para Emissões de CO2 por Município\n", + "\n", + "# Ordenar os municípios por CO2_emitido\n", + "df_sorted = df.sort_values(by='CO2_emitido', ascending=False)\n", + "\n", + "# Criar gráfico de barras para CO2 emitido por município\n", + "plt.figure(figsize=(12,8))\n", + "sns.barplot(x='CO2_emitido', y='MUNICIPIO', data=df_sorted, palette='Reds')\n", + "\n", + "plt.title('Emissões de CO2 por Município (Cerrado, Bahia)', fontsize=16)\n", + "plt.xlabel('Emissões de CO2 (toneladas)', fontsize=12)\n", + "plt.ylabel('Município', fontsize=12)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "\n", + "# Gráfico de barras para Área Desmatada por Município\n", + "\n", + "# Ordenar os municípios por área desmatada\n", + "df_sorted_area = df.sort_values(by='AREAHA', ascending=False)\n", + "\n", + "# Criar gráfico de barras para área desmatada por município\n", + "plt.figure(figsize=(12,8))\n", + "sns.barplot(x='AREAHA', y='MUNICIPIO', data=df_sorted_area, palette='Greens')\n", + "\n", + "plt.title('Área Desmatada por Município (Cerrado, Bahia)', fontsize=16)\n", + "plt.xlabel('Área Desmatada (hectares)', fontsize=12)\n", + "plt.ylabel('Município', fontsize=12)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "wDDP5Z0M6G7A", + "outputId": "02532576-f4a3-4429-c661-9a76e40db040" + }, + "execution_count": 204, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":8: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='CO2_emitido', y='MUNICIPIO', data=df_sorted, palette='Reds')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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666+RlJSErl27Yv78+cIH5idPnmDw4MH4999/VV4XERGBw4cPw97eHosWLVJaCPfIkSOYPHkygoKCcOzYMaV1lgqTP73HysqqxIs9x8fHC6O+7Ozs3lleW1sbzZo1Q3R0dLGnFSUmJgrrkXTq1KlE8eWLjIzE5MmTlRI5586dw4gRI/Djjz+idevWaNOmjXAuPDwcZ86cQb169fDjjz8KH25zcnLwzTffYMeOHRg/fryQBHzbnj178PPPP8PBwaFU8QKAiYkJvLy8cODAAcTExAhrYx0+fBgymQxDhw4V+mxZOHbsGNzd3bF161ahr6ekpGDw4MG4ceMGtm7dqvQ8CyOXyzF27FjcuXMH7u7uWLBggdIuillZWfj7779LFNuePXvQoUMHLF68GPr6+gCAZ8+eYfDgwbh48SKWL18ubERQlBcvXiAoKAhZWVmYOHEiRo0aJXwov3LlCoYPH46dO3fCwcEBffr0KVZs//77L548eYIqVaqonCKV3+91dHSE0XIlUZr3rjf98ssvGDlyJCZNmlRo/9m6dStmzpyJAQMGFDhXp04dbNy4ES4uLkrXZ2Rk4JtvvsGePXsQHh6OWbNmKV1X2ve72bNn48aNG7C3t8fq1auFxNZ///2HiRMn4tSpUwgKCsK2bduK8fRKRy6XIzExEUePHsW6deugpaWF0aNHFyjn7u6Ojh07okmTJkrHnz9/jpEjR+L333/HkSNH0LVr1wLXPn78GOfOncP+/fuFKeR5eXmYMWMGdu7cifDwcKxfv75Y8b5PHIaGhrC0tMStW7dw+fLlAmvyEdH74RQ8IiKqEEJCQoTpP6q+CpsWMX78eCH5BAD6+vrCbmS3b9/G9OnTheQTAFSpUgX9+vUDgGKvgZE/Xa9du3YFzhkZGSl9SM9fz8bKyqpA8gl4vZZQrVq1hNcxMTG4fPkyJBIJ5s6dq7TgeJUqVTBnzhwArxeyfvbsmXBu06ZNSE5OxoABA9C/f3+lD1KVK1dGWFgYdHR0hKk0b8bm7OxcIPkEALa2tsXemvvChQu4cuUKDAwMMGvWLKXRGrVq1cLXX3+t8rrk5GRhdEdERESBXZi6dOmCvn37IiUlBfv27StWLC9fvgQAVK1atVjlVV1bkuvzp7C8eW1hcnNzMWXKFKSlpaFJkybo27dviWMEXvent5MlLVu2RP/+/QEAP/74o3A8KytLmH4SEhKiNLJCR0cH06dPR7Vq1RAfH4/ffvtNZXvDhg17r+RTvvwpdvlT7oDX6weJRKIy33TAwMAAoaGhSn3dxMQEI0eOBABht8R3OXHiBK5evQozMzOEh4crJZ8AQE9PT+V7Q1H09fUxe/ZsIfkEADVr1hRGsm3duhVZWVnvrOeXX35BWloarK2tMXr0aKURIba2thg1ahQAFPuDPwBcv34dAApdcyq/35uamkJbu+R/Cy/Ne9ebGjRogIkTJxaZvGzVqpXK5BPw+jm7uroWuF4ikeCbb76BtrY2jhw5onSutO93T548wZEjRyASiTBnzhyl99dKlSph3rx50NPTE0b2qNObv1ObNWuGtm3bYu7cuZBKpYiMjISHh0eBa+zs7AokfYDXC/RPmTIFAAo8mzdNnz5daf1CLS0tTJo0CcDrhHlOTk6xYn/fOPJHd+X3ZSJSH46AIiKiCuHNLaNVKWwYvaoPfvn1aGtro3Xr1oWeT0hIKFZsdnZ2uHPnDoKCguDv7w8HB4dCP3g1bNgQlSpVwqlTp7By5Up89tlnRW51fe7cOQBAmzZthMTGm2xsbNC0aVPcvHkT586dE0ZgRUVFAYDKvwADr/+jXr9+fdy5cwcPHjwQpppoaWlh586dsLCwgJeXV6mnhL0Zt6qkVYcOHWBkZIS0tDSl49HR0cjMzISrq2uhOx+1bNkSW7duRWxsbLncul3Vh+LCzJo1C2fPnoWpqSnCw8OLNeVTlV69eqk87u3tjQ0bNuDChQvIy8uDlpYWrly5AplMBlNTU5VTEiUSCbp164bNmzcjOjpa5dSxLl26lCrOt7m6uqJ27do4cuQIpk+fjmfPnuHSpUto1apVmU85srGxUdm/89f/KmwdrLf9+eefAIAePXoUmOpVWq1bt1aZoPbw8ICpqSmSk5Nx7do1ODk5FVlP/s9hYVPhvvzyS8yfPx8PHjxQuRi8KvkJ9+JOxS2p0rx3valjx47vHOlY2M6Lb7p48SJiYmLw9OlTZGZmCj/XOjo6ePnyJVJSUoRpz6V9vzt//jzkcjmsra2V/lDy5r26u7vj+PHjiI6Ofuf3uyTe/p366tUr3Lp1C1euXEFoaCgWLlyIBg0aFLguOzsbf/31F65cuYKkpCTk5ORAoVDgv//+A/B6gXpVtLW1lUZh5jMzM4OJiQlSUlKQnJysst+rUto4gP/ru6rWeiSi98MEFBERVQiqtowujjdHE+XLH0VkZmamMlGU/yEyOzu7WG1MnjwZt27dwqlTp3Dq1Cno6+vDysoKLVu2RM+ePZVGChgaGiI0NBQhISFYunQpli5dCjMzMzg4OKBNmzb47LPPlD7E5n8ILurDeL169XDz5k2lD8z5a7AU9lf+N718+RIWFhaoV68eQkJCEBYWhjlz5mDOnDmoXbs2HBwc0L59e3Tp0qXYCZL80Vhvji57k0gkQu3atXHz5k2l4/lxnz179p3Td4ozwgiAMCKlNB823vwwmZSUpLQ4eWHy23l7JMzb5s2bhx07dsDExAQ//vjje+1sWFj/yD+emZmJ5ORkVK1aVUisFva9Af5v96nCkjBFXVsSIpEIn3/+OZYvX45Dhw7h3r17AIpefFxdzM3NVR7PHxFV3J///A0NitM3iquon/fatWsjOTlZacRjYd71/mFsbCwktIqbgMpPoqgaJQn8X79PTk4Wkp4lUZr3rjcVp28WVSYpKQnjxo3DhQsXiqwjPT1dSECV9v2uuO/vb5ZVF1W/U3NzcxEeHo7Vq1dj4MCBOHLkiNL3+dKlS5g0aZLQ51VJT09XedzMzKzQPxQZGhoiJSWlWKP63jeO/PYAfPAF3ok+BUxAERHRJ62oaRjqWl/GzMwMO3fuxLlz53DmzBlcvHgRcXFxuHjxIlavXo3JkycL03qA1399d3Nzw/Hjx3HhwgVcvHgRR48exdGjRxEeHo4NGzaUau2UN+XvAtS5c2elaXuqvDmSwc/PD127dsWJEydw4cIFXLhwAQcPHsTBgwcRERGBn376qdSjokoSd/369d/51/7ifuC3trbG3r17cf369RJ/IK5Tp47w1/nLly+/c9vu3NxcYVpHYQt4A8D333+PyMhIGBsbY/369cIueGWpJCOz3uXNqWHvy8fHBytWrMAvv/yCJ0+ewMjIqNRrYb3pXTtyleX6UhVZ/sLshX3At7GxAfB6PbGbN28W+XOgSmnfu/IVp28WVWbatGm4cOECHB0dMW7cODRt2hTGxsZC8sTd3R2JiYlq/XkqL7S1tTFx4kT88ssvSExMxN69e4VEYEZGBgICAvDixQv4+PigX79+qF+/PgwNDaGlpYX79+8XOTJSXT9v7xsH8H9J1Lc37iCi98cEFBER0QcgEong4uICFxcXAK/X2dm1axfmzJmDJUuWoEuXLkoL9hoZGcHb2xve3t4AXu+iNXfuXBw/fhxz587Fli1bAEAYkZA/KkCV/HNvjl4wNzfHgwcPMGLECNja2pboXqpVq4Y+ffoIixLfvXsX06ZNQ2xsLBYtWoT58+e/s478WB4/flxoGVV/vc4flWJhYYHvv/++RHEXxsPDA99//z1SU1Nx4sQJeHl5FftasVgMDw8P7NmzB3v37sXw4cOL3O3txIkTSEtLg1gsRvv27VWWCQsLw48//ggjIyOsX7++xN8fVd7epjxf/vPX09MTPqznJxCL+t6o6lNlpXbt2mjVqpWw5pqvr2+xkgj5CYH8KTdvK2p0hDrl99n80VvqUNj3E/i/71txvjc1atTAvXv3Cn3/SEtLExbZL+73On8ttPzr3iaVSlGnTh3Ex8dj9+7dJU5Avc971/uSyWQ4deoUxGIx1qxZU2CTA5lMJqyV96bSvt+V9v29LInFYtSuXRuvXr1S2kDj/PnzePHiBaytrREaGlrguocPH36Q+NQRR37fLc26gERUNP5ph4iISAP09PTQr18/SKVSyOVy3Lp1q8jy5ubmGD9+PADgxo0bwvGWLVsCeL3OjKoPPtevX8eNGzcgFouVRufkr7Vx+PDh976XRo0a4auvvioQW1HejFvVB9Xjx4+rXDje1dVV2IJcXetz1KtXD927dwfweuRRYR+c8yUlJSklE4YPHw5tbW3cvn0bmzdvLvS6tLQ0LFiwAADQrVs3lTuELVy4EOvXr4eRkRE2bNhQrJ31iqOwBdn37NkD4PXC8vnTTW1tbWFgYIDk5GQcP368wDWZmZk4dOgQAAgJ1bLWp08fmJqawtTUFF9++WWxrsn/QP7mh+R8CoUCp06dUmuMhWnbti0A4MCBA5DJZGqp8/Tp0yr7f1RUFJKTk1GpUiVhpFFR8n8O8/vB2/IXf2/QoEGxExz5CSVVzx14nYzPX9x827ZtiIuLK7K+3NxcXLp0SXitzveukkpLS0NeXh4MDQ1V7rC5b98+lSOfSvt+16JFC4jFYty4caPA9Dzg9TqE+WuMfaifRblcLiTS3hyBlj9drbCpq8XdFOJ9qSOOf/75B0DRo1SJqHSYgCIiIipj69evV/nX7bt37wp/jc1fi+r69es4dOgQMjMzC5Q/ceKEUlkAaN68Oezt7ZGZmYmZM2ciIyNDOPfy5UvMnDkTwOuEx5v/If/qq69gbGyMjRs3YsOGDSrXs3n06BH27t0rvD579iyioqIK7ESkUChw8uTJArEVpXnz5rC2toZMJsOcOXOU2n/69CnCwsJUXletWjX4+flBJpNh1KhRKhN32dnZOH78eKEfgFWZMWMG6tevj/j4ePTv3x8xMTEq692xYwe8vb2VElBNmjRBUFAQgNcJrLVr1yI3N1fp2rt372LIkCH4999/Ubt2bcyYMaNA/UuWLMHatWthbGys1uQTAFy7dg1r165VOhYTE4OtW7cCAIYMGSIc19PTE6bVzJ8/X2nURk5ODr799lskJiaiTp06xVqsWR26deuG6OhoREdHF3vUi6urKwBg7969uHPnjnA8JycHCxYswJUrV8ok1rd5enrCysoKCQkJmDBhAl69eqV0PisrS1hYu7gyMzPxzTffKL1PPH/+XBgV6Ovrq7TTWmH69OkDQ0NDXLt2DatWrVJKnly/fh0rV64E8DrJWlx169ZFrVq18PLly0JHm/Tu3RudO3dGTk4Ohg4dit27dyMvL0+pjEKhwNmzZ+Hr64uDBw8Kx0vz3qUu1apVg4mJCVJTUwsk7S5duoTFixervK6073e1atVCly5doFAoMHPmTKW+I5PJMHPmTGRlZcHR0bHAlOSIiAhIpVL4+fmV8m4Lys3NxdKlS4U43tykIH8tw7Nnzyr9vAHA9u3bhaR1WXvfONLS0nDnzh0YGBio9T2YiF7jFDwiIqoQfv31V2GnIVVat26tcreuD2HlypUICwtDw4YN0ahRI+jp6SEhIQEXL15Ebm4uvL29hb+0PnnyBJMmTRIWKjc3N0dubi5u376N+/fvQ0dHR9hGOt+iRYswePBgHD9+HB06dEDz5s2Rm5uL6OhopKenw9raWkhE5atZsyZ++OEHjBs3DvPnz8e6detgaWkJMzMzpKen4+7du/j3339hb28v7KB269YtYVt6KysrVK9eHVlZWbh+/ToeP34MIyMjTJgwodjPJSwsDH5+fjh48CDOnz8PZ2dnZGZm4u+//4ZUKoWjoyNiY2MLXBcYGIiEhAQcOHAA3t7eaNq0KerWrQstLS08e/YMN2/ehEwmw9q1awvdCv5tJiYm+PnnnzFx4kScO3cOAwYMQJ06dSCVSiGRSPDixQvExcVBJpPB0NCwwDpXQ4cOhZaWFsLCwrBw4UKsW7cOjo6OMDAwQHx8POLi4qBQKGBtbY0ffvihwNo0x48fx6pVqwC8HpG1detWITn0psqVKxe6ZXtR/Pz8sHjxYuzduxdSqRQJCQmIiYmBXC7HoEGDCuwGOX78eFy9ehVnz55Ft27d4OLigkqVKuHSpUt48uQJTE1NsWzZslLvyvchODs7o0OHDjh+/Di++OILODs7Q09PD9evX0d6ejoGDRpU5Ig1dRGLxVi+fDmGDx+OU6dOwcPDA87OzjA1NcXz589x8+ZNGBsbCwnm4vD29sbJkyfRsWNHODs7IysrC9HR0ZDJZHB0dBRGS75LtWrVsHDhQkyYMAFLlizB3r17YWVlhaSkJJw/fx65ubnw8fERptsWV4cOHRAZGYnTp08XujvpokWLYGZmhp9++gnBwcH4/vvvYWtrCxMTE6Snp+PatWtITEyElpaW0i59pXnvUhctLS2MGTMGoaGh+Prrr7F161bUrVsXT548QWxsLHr27ImYmBiVU+1K+343c+ZM3Lt3D5cvX4aXlxdcXFygpaWF8+fP4+XLl6hTpw4WLlxY4Lr8tbIK23H1Xd7+nZqcnIybN2/i6dOnAIBRo0YpJb2srKyEnzdvb2+4uLjAxMQEN27cwP379+Hv7y+8x5Wl943j77//hlwuR7t27QpdFJ2ISo8JKCIiqhAuXryIixcvFnreyMhIYwmomTNn4uzZs7h69SrOnz8PmUwGMzMzuLm5oW/fvujQoYNQ1t7eHoGBgYiJicHdu3dx48YNaGlpoWbNmhgwYAAGDhxYYHHtunXrYteuXdiwYQOOHTuGkydPQiwWw8LCAl27dsWgQYNUrpnTokULHDx4EFu2bEFUVBSuXLmC7OxsVK1aFebm5ujZs6fSYs+enp5IT09HTEwMHj58iMuXL0NfXx81a9bEyJEjMWDAANSsWbPYz6Vx48bYuXMnIiIicOrUKRw7dgw1a9bEwIEDERAQoLQw+5u0tbWxaNEi9OzZEzt27MDly5fxzz//QCKRwMzMDB4eHvD09HznguBvq1q1KiIjI3Hq1CkcPHgQsbGxOHv2LHJycmBqagpHR0e0a9cOvXr1Urm48aBBg9ChQwf89NNPOH36NGJiYpCZmYnKlSvDw8MD3bp1Q/fu3VUutvvmbktXr17F1atXVcZYu3btUiWgvLy80KFDB6xevVoYxWZlZYWBAwcqfbjPp6uri3Xr1uGXX37B3r17ERMTg+zsbJibm8PPzw8jRoz4YGvOvI+lS5fihx9+wIEDB3Du3DkYGxvD1dUVEyZMUDnKrazUrl0bO3fuxNatW/Hbb78hNjYWOTk5MDMzQ4sWLUr83lSnTh3s2LEDS5cuxd9//42UlBTUqlULn332GUaMGFGiReA9PDywe/durF27FmfPnsVvv/0GiUQCZ2dn+Pr6olu3biW9XQwYMABbtmzB7t270b9/f5VldHR0MGPGDPTr1w/bt2/HuXPncPnyZchkMlSqVAkNGjTAF198gc8//xwNGjRQurak713qNGTIENSpUwfr1q3D3bt38c8//6Bhw4aYOXMm+vXrp/R+/qbSvt9VrlwZ27ZtQ2RkJA4dOoTTp09DLpejTp066NOnD4YNG6Zysexr164BQLGnrL7t7d+pOjo6qF69Orp16wZfX1+VU/6WLVuGzZs3Y8+ePbhw4QL09PRgY2OD6dOno379+h8kAfW+cezatQtA8XZZJKKSEykq4hYNRERERAQ/Pz+cO3cOmzdv/mBrxFDZiYiIwPLlyzF27FiMGzdO0+EUyd/fHydPnsS+ffvee9dOKpns7Gy4uLjAwsICO3fuLHJjBPo/iYmJ8PDwgKWlJXbv3q3pcIgqJK4BRUREREREajVlyhRoa2tjxYoVmg7lk3Px4kXIZDIEBQUx+VQCP/zwA3JychAcHKzpUIgqLCagiIiIiIhIrRo3bowBAwbgt99++2ALvtNrrVq1wq1bt+Dm5qbpUD4ajx49wq+//oouXbpwtChRGeIaUEREREREpHb/+9//8L///U/TYRC9U926dQtde4+I1IdrQBERERERERERUZniFDwiIiIiIiIiIipTTEAREREREREREVGZ4hpQROVQbGwsFAoFdHR0NB0KERERERERkUo5OTkQiURwdHR8Z1mOgCIqhxQKhfBF9L4UCgWys7PZn0gt2J9IndifSJ3Yn0hd2JdInSp6fyrJ51aOgCIqh3R0dJCdnY3GjRvDwMBA0+HQR04mk+HGjRvsT6QW7E+kTuxPpE7sT6Qu7EukThW9P125cqXYZTkCiqgcE4lEmg6BKgCRSASJRML+RGrB/kTqxP5E6sT+ROrCvkRUNjgCiqic0tXVhUQi0XQYVAFIJBJYWVlpOgyqINifSJ3Yn0id2J9IXdiX6F0UCgUTlKXABBRROSaXpUEhz9V0GERERERERARAJNaG2MBI02F8lJiAIirHFPJcQJ6n6TCIiIiIiIgIQMVcSvzD+KTXgNq4cSPat2+PZs2aYcyYMZoOp9wZM2YM/Pz8yrQNT09PzJkzp0zbUJfU1FRERETgzp07mg6FiIiIiIiI6KPyyY6AevDgAb7//nuMGDECHh4eqFy5sqZD+iQtX74cxsbGmg6jWFJTU7F8+XJYWlqicePGmg6HiIiIiIiI6KPxySag7t+/D4VCgT59+qBu3brvVVd2dja0tbUhFn/SA8pKJDMzE/r6+hpf3E+hUCAnJwe6uroajYOIiIiIiIioIvskMybBwcEYNWoUAKBjx46QSqXYtWsXAODx48cYP348nJ2d4eDggOHDh+PWrVtK1+dPG1u7di08PDxgZ2eH5ORk+Pn5wd/fHwcOHECnTp1gb2+PUaNGISUlBY8fP8bw4cPh6OiI7t27Izo6WqlOuVyOH374AZ6enrCxsUGXLl2wbds2pTLPnj3DhAkT4ObmBltbW3h6euK7774Tzt+9exeTJk1Cu3btYG9vj27dumHDhg2Qy+XvfCZ3797FwIEDYWtri44dO2L37t0qy50/fx6+vr6ws7ODi4sLQkJCkJycXGTd0dHRkEqlOHnyJMaPHw8nJydMmDBB6Vm+6ffff0evXr1ga2sLd3d3hIaGIisrq8g2du3aBalUikuXLmHQoEGwt7eHp6cnduzYoVQuODgYn332GaKiotCzZ0/Y2trixIkTAIDY2FgMGjQIDg4OcHZ2RmBgIJKSkgAA8fHx6NChAwBgwoQJkEqlkEqliI+PBwAkJycjJCQELi4usLOzg6+vL86fP19kzERERERERESfik9yBNSYMWPQqFEjLFy4EMuXL4eZmRnq1auH9PR0+Pn5QSwWY/bs2dDT08PKlSsxcOBA7Nu3D+bm5kIdv//+O+rXr49p06ZBLBbDwMAAAHD9+nW8evUKU6dORXp6OubNm4cZM2bg8ePH8Pb2xtChQ7F69WqMGzcOf/zxBypVqgQACAsLw+bNmzF69Gg4Ojri5MmTmDVrFnJzczFw4EAAwNSpU5GQkIDp06ejatWqePr0Ka5evSrElJCQAAsLC/To0QOVKlXCjRs3EBERAZlMhrFjxxb6PLKysjBs2DBIJBKEhYUBAMLDw5Geno4GDRoI5a5evYqhQ4fCxcUFy5Ytw4sXL7Bo0SLcuXMH27Ztg5aWVpHPfcaMGejZsydWrFhR6Gix48ePY/z48ejevTsCAwNx7949LFmyBE+fPkV4eHiR9QPA5MmT0bdvX4wYMQKHDh3CtGnTUL16dbRt21bpOc2bNw+jR4+Gubk5atWqhdjYWPj5+aFdu3ZYsmQJMjIysHTpUowZMwbbt29H9erVsXz5cowdOxaTJ0+Gi4sLAKB69erIy8vDiBEj8OjRIwQFBaFatWqIjIzE0KFDsW3bNtjY2LwzbiIiIiIiIlKfzKws5OaWwY7iIi1oQafYxWUyGTIyMpCenl6swSHa2trQ19d/nwjLrU8yAVWvXj1YWFgAAJo1a4Y6deoAADZv3ownT57g4MGDaNSoEQCgRYsW8PDwwKZNmxAcHCzUkZOTg7Vr1wqJp3zp6elYtWoVqlSpAgC4desWNmzYgG+++Qb9+vUD8Dpp0aNHD5w9exYdO3bEy5cvsWXLFgwfPhzjxo0DALi7u+PVq1dYsWIF+vXrBy0tLVy5cgWTJ09Gt27dhPa8vb2Ff7u6usLV1RXA66llzs7OyMzMxJYtW4pMQO3atQsJCQk4fPiwkHCysrJCly5dlBJQq1atgpmZGVatWgUdndc/cObm5hg+fDiioqLg6elZ5HP39PTElClTiiyzfPlyODg4YNGiRQCAtm3bQiKRYObMmbh16xakUmmR1/fq1Qv+/v4AgDZt2uDRo0dYsWKFUgIqJSUFa9euhb29vXBs2rRpsLGxwfLlyyESiQAATZo0EUZLtWvXDs2aNQMA1K9fHw4ODsK1x48fR1xcHNatW4c2bdoAeP3969SpE1avXo2IiIgiYyYiIiIiIiL1Wbl+I/YeOgK5/OPbs04sFsPb2xsBAQGaDkXtPskpeIWJiYmBpaWlkHwCAFNTU7i5ueHChQtKZV1cXAoknwCgadOmQvIJgJDAcXNzK3Ds2bNnAIC4uDjk5OSgS5cuSnV17doVL1++xIMHDwC8Tgpt2LABW7duxcOHDwu0nZWVhfDwcHh5ecHW1hbW1tZYsmQJEhMT8d9//xV633FxcbC0tFRKNtWvXx9NmzZVKhcTE4MOHToIySfgdaLF2Ni4wPNRpX379kWe/++//3Djxg107txZ6Xh+wq04bXh5eSm97tSpE65du4a8vDzhmKmpqVLyKSMjAxcvXkSXLl2Ql5eH3Nxc5ObmokGDBjA3N8eVK1eKbDMmJgaGhoZC8gkAdHR04OXlVayYiYiIiIiISH32Hvrto0w+Aa+X59mzZ4+mwygTTEC9ITU1FdWqVStwvGrVqkhJSSlwTJW3d3TLT9YYGRkJx/IXvM5f1yi/7rfbzn+dv8bSkiVL0KpVKyxduhSdOnVCly5d8PvvvwvlFyxYgPXr16N3795Ys2YNduzYgdGjRyu1pUpCQoLK+3n7WGpqaqHl3n4+qhT2zPKlpaVBoVAUKGdkZARdXd1StVGtWjXk5OTg1atXSsfelJqairy8PISGhsLa2lrp68mTJ3j69GmRbRb2XKpVq1asmImIiIiIiEh9enXrDLFYpOkwSiV/BFRF9ElOwSuMiYkJ7t+/X+B4UlISTExMlI7lT9NSB1NTU6GdGjVqCMdfvHihdL569eoIDQ2FXC7H1atXsXLlSkyaNAlHjhxB3bp1ceTIEfTt2xcjR44U6oiKinpn+9WrV8e1a9cKHE9KSoKhoaHw2sTERFiU++1ybz8fVd71zIyMjCASifDy5Uul42lpacjOzi5WG6qeoY6ODipXrlxoHPnt+vv7o2PHjgXqfPNaVQp7Li9evChWzERERERERKQ+o4cPwdCB/cpuDShD02IXl8lkuH37Npo0aaJyFtXbKvIaUBwB9QZnZ2fcvn0b9+7dE46lpKTgzJkzcHZ2LrN2bW1toaOjgyNHjigdP3z4MKpWrao0NQ54nRG1s7PDxIkTkZubK0zHy8rKUpoel5eXh4MHDxar/X/++UdpWt/Dhw9x8+ZNpXLOzs44fvy40g/x6dOnkZqaqpbnU6lSJTRr1kzlc8hv/12OHj2q9Pr333+HtbV1kQukGxgYwMHBAffu3YOtrW2Br/w1wvKf7dujyZydnZGeno6//vpLOJabm4tjx46Vab8hIiIiIiIi1fT19GBYqZL6vwwrwdDQsERfEomk2GUravIJ4AgoJT4+Pti4cSP8/f0xceJEYRc8bW1tDB48uMzarVKlCgYOHIj169dDV1cXDg4OiIqKwoEDBzBjxgxoaWkhLS0Nw4cPR69evWBhYYGcnBxERkbC2NgYVlZWAF6vM/Xrr7+icePGqFy5MrZu3Yrs7Oxi3ffKlSvh7++PCRMmAHi9C97bU9VGjRoFX19f+Pv7w8/PT9gFz87ODu3atVPLsxg7diwCAgIQFBSEnj174v79+1iyZAk6d+78zgXIAWDv3r3Q19eHlZUVDh06hPPnz2PNmjXvvG7q1KkYPHgwJk6ciO7du8PY2BjPnj3DmTNn4OPjAxcXF5iZmcHY2BgHDx5EnTp1oKurC6lUivbt28POzg5TpkxBYGCgsAteQkJCsXbuIyIiIiIiIqromIB6g6GhISIjI/H9999jxowZkMvlcHJywpYtW2Bubl6mbU+dOhVGRkbYsWMHVq1ahdq1a2P27Nnw9fUFAOjp6aFJkyaIjIzE06dPoa+vDxsbG6xfv15Y9HzGjBmYNWsW5s6dC4lEgs8//xxeXl6YPn16kW3r6+sLO/VNmTIFNWrUwJgxY3D8+HGkpaUJ5WxsbLBhwwYsXrwY48aNg4GBATw9PfH1118XOcKoJDp06IBly5ZhxYoVGDNmDExNTdGnTx8EBgYW6/pFixZh8eLFWLFiBapWrYq5c+cWKznm5OSErVu3IiIiAiEhIcjJyUHNmjXRqlUr1K9fH8DrkWehoaFYvHgxhgwZguzsbBw/fhx16tTBmjVrEBYWhgULFkAmk8Ha2hobNmyAjY3Nez0PIiIiIiIioopApFAoPs6l4YnesGvXLoSEhODs2bNKuxB+rPJ33rOyqAPI895RmoiIiIiIiD4IsRa0DIteJ/hNMpkMN27cQLNmzYq1BtTHJv+zq62t7TvLcg0oIiIiIiIiIiIqU5yCR1SOicTa4BBFIiIiIiKi8kEkZhqltPjkqELw8fGBj4+PpsNQO7GBkaZDICIiIiIiojcoFAqIRCJNh/HR4RQ8onIqOzsbGRkZmg6DKoCMjAxcv36d/YnUgv2J1In9idSJ/YnUhX2J3oXJp9JhAoqoHOMeAaQOCoUCGRkZ7E+kFuxPpE7sT6RO7E+kLuxLRGWDCSgiIiIiIiIiIipTTEARlWMc2knqIBKJIJFI2J9ILdifSJ3Yn0id2J9IXdiXiMoGFyEnKqd0dXUhkUg0HQZVABKJBFZWVpoOgyoI9idSJ/YnUif2J1IX9qVPBxcT/7CYgCIqx/LSXkGRl6vpMIiIiIiIiCoUkZY2tIwqazqMTwoTUPTJmzlzJq5evYqff/4Zenp6mg5HiSIvF8jL0XQYREREREREFQqXmP/wuAbUJ2jRokVwcnLCsmXLcPbsWQwZMqRM29u4cSOkUqna6/Xz84O/v/87yzVv3hwREREqz0VFReH48eP44Ycfip188vT0xJw5c0oUKxEREREREdGnjCOgPkFbt25FaGgofv75Z2zcuBHfffedpkMqlVmzZkEsLn0O9dWrV/jmm2+wbNky1KxZs9jXLV++HMbGxqVul4iIiIiIiOhTwwTUJ+jChQsAgM6dO2s4kvfTuHHj97q+cuXK+OOPP4pdPjMzE/r6+lyQkIiIiIiIiKiEOAWvgvnnn38wYsQIuLi4wN7eHp07d8batWuF87GxsRg1ahTc3d3h4OCAXr16Yc+ePQXqefz4McaPHw9nZ2c4ODhg+PDhuHXr1jvbT09Px9SpU+Ho6IhWrVohLCwMeXl5Bcqlpqbim2++gbu7O2xsbODj44O//vpLqcyFCxcwYMAAODs7w9HRET169MDu3buF86qm4B07dgxdunSBra0tvvzyS8TFxamM8+TJk+jduzfs7OzQqlUrzJo1CzKZTDgfHR0NqVSKkydPYvz48XBycsKECRMAqJ6C9/vvv6NXr16wtbWFu7s7QkNDkZWV9c7nRURERERERPQp4AioCmbUqFGoVq0avv32WxgaGuLff//Fs2fPhPNPnjyBk5MT+vXrB11dXVy8eBHTp0+HQqHA559/DuB1EsnPzw9isRizZ8+Gnp4eVq5ciYEDB2Lfvn0wNzcvtP3//e9/+PPPPxEUFIQ6depg69atOHDggFKZ7OxsDB06FElJSZg4cSJq1KiBffv2wd/fH7t27YJUKkV6ejr8/f3h7OyMxYsXQ1dXF3fu3EFqamqhbd+4cQPjx49H27ZtERISgvj4eEycOBHZ2dlK5Y4cOYJJkybBx8cH48aNQ2JiIhYtWoTU1FQsWbJEqeyMGTPQs2dPrFixotDpfsePH8f48ePRvXt3BAYG4t69e1iyZAmePn2K8PDwQuMlIiIiIiIi9cvMykJu7jt2E9fSgba2pNh1amtrQ19f/z0j+7QxAVWBvHz5EvHx8Zg2bRo8PT0BAK1atVIq0717d+HfCoUCLVq0wPPnz7F9+3YhAbVr1y48efIEBw8eRKNGjQAALVq0gIeHBzZt2oTg4GCV7d+5cwe///475s2bhy+//BIA4O7ujk6dOimV279/P27evIm9e/cK0+jatGmDhw8f4ocffsCyZctw//59pKWlYfLkycIC5q6urkXe/5o1a2Bubo4VK1ZAS0sLAKCnp4dp06Yp3XNYWBi6deuGb7/9VjhuZmaGkSNHYsyYMbC0tBSOe3p6YsqUKUW2u3z5cjg4OGDRokUAgLZt20IikWDmzJm4detWmSzATkRERERERAWt3LgF+w7/DrlCvfvcicVieHt7IyAgQK31fko4Ba8CqVy5MmrXro3Fixdj9+7dSiOf8qWkpGDevHnw8PCAtbU1rK2tsX37dty/f18oExMTA0tLSyH5BACmpqZwc3MT1o9S5cqVK1AoFPDy8hKOaWlpoWPHjkrlTp8+jSZNmqBBgwbIzc0Vvtzc3HDlyhUAQL169WBoaIhvvvkGhw4dwsuXL995/5cvX4aHh4eQfAKALl26KJW5f/8+Hj9+jK5duyq13bJlS4jFYly9elWpfPv27Yts87///sONGzcKrKfVrVs3ACjyeREREREREZF67TtyVO3JJwCQy+Uql6+h4uMIqApEJBJh/fr1WLJkCebMmQOZTAZra2uEhISgRYsWAIDg4GDExsYiICAAjRs3hqGhIX7++WccPnxYqCc1NRXVqlUrUH/VqlXxzz//FNp+YmIidHR0YGJiUuC6N7169QrXr1+HtbV1gTryk0cmJib48ccfER4ejqlTpyIvLw/NmzfH9OnTCx1RlJiYWKAtQ0ND6OnpKbUNoNCs9dOnT4uM/W1paWlQKBQFyhkZGUFXVxcpKSlFXk9ERERERETq07OLV5mOgKLSYwKqgrGwsEB4eDhycnIQGxuLxYsXY9SoUTh16hS0tbVx8uRJBAcHw8/PT7hm69atSnWYmJgojYjKl5SUVCC59CYzMzPk5OQgJSVFqVxSUlKB+qVSqdIUOFXs7Oywbt06ZGZmIjo6GvPnz0dAQACOHTtWaPtvt5Wenq60GLipqSkAYObMmbCzsytQR/Xq1ZVei0SiImM0MjKCSCQqMEIrLS0N2dnZRT4vIiIiIiIiUq/RQwZiaL/exVsDyqTgwIvCcA2o98cpeBWUjo4OWrZsiZEjRyI9PR0JCQnIzs6GXC6Hjo6OUC49PR0nTpxQutbZ2Rm3b9/GvXv3hGMpKSk4c+YMnJ2dC23T1tYWAHD06FHhWF5eXoGEkZubGx49eoTq1avD1ta2wNfb9PX10a5dO/Tr1w/x8fGF7i5nZ2eHP/74Q2nXvSNHjiiVadiwIWrWrIlHjx6pbLtGjRqF3p8qlSpVQrNmzQq0kz+irKjnRUREREREROqnr6cHw0qV3v1laFjsLyaf3h9HQFUgN2/exPz589GtWzfUrVsX6enpWL16NWrXro169epBS0sLtra2WLt2LapUqQJtbW2sWbMGhoaGSiN4fHx8sHHjRvj7+2PixInCLnja2toYPHhwoe03btwYXl5e+O6775CVlSXsgpeTk6NUztvbG9u2bcOgQYMwbNgwNGjQAGlpabh+/TpycnIQGBiIkydPYseOHejYsSNq1aqFFy9eYMuWLXByclKaUvemkSNH4ssvv0RAQICQrFq/fr1SeZFIhODgYAQFBUEmk6F9+/aQSCR48uQJoqKiMGnSJFhYWJTouY8dOxYBAQEICgpCz549cf/+fSxZsgSdO3fmAuREREREREREYAKqQjEzM0O1atWwevVqPH/+HEZGRmjevDkWLFggrK20aNEizJw5E8HBwTA1NYWfnx9kMhk2bNgg1GNoaIjIyEh8//33mDFjBuRyOZycnLBlyxaYm5sXGcN3332HOXPmYOHChdDV1cXnn3+Oli1bIiwsTCijq6uLzZs3IyIiAqtWrUJiYiJMTU1hZWWF/v37A3i9CLlYLMbSpUuRlJQEU1NTuLu7Y/LkyYW2bWVlhWXLlmHhwoUYO3YsLC0tsWTJEgwfPlypXNeuXWFsbIxVq1Zh//79AIDatWujTZs2Kte+epcOHTpg2bJlWLFiBcaMGQNTU1P06dMHgYGBJa6LiIiIiIiIqCISKRRlsDw8Eb2X/N0Am9WtCeTlvKM0ERERERERlYiWDrRNzcq8GZlMhhs3bqBZs2YwMDAo8/Y+tPzPrqqW03kb14AiIiIiIiIiIqIyxSl4ROWYSEsbHKJIRERERESkXiItpkM+ND5xonJMy6iypkMgIiIiIiKqkBQKBUQikabD+GRwCh5ROZWdnY2MjAxNh0EVQEZGBq5fv87+RGrB/kTqxP5E6sT+ROrCvvTpYPLpw2ICiqgc4x4BpA4KhQIZGRnsT6QW7E+kTuxPpE7sT6Qu7EtEZYMJKKJyjBl5UgeRSASJRML+RGrB/kTqxP5ERET06eAaUETllK6uLiQSiabDoApAIpHAyspK02FQBcH+ROrE/qQ5XPeEiIg+NCagiMqx3OQEKHJzNB0GERERVSAibR1om1bXdBhERPSJYQKKqBxT5OYAudmaDoOIiIgqEK5qQ0REmsA1oIiIiIiIiIiIqEwxAUVqExwcjM8++6xE10ilUqxfv76MIvpwmjdvjoiICOG1n58f/P39NRgRERERERERUfnBKXikNmPGjIFMJtN0GOXCrFmzIBYzv0tEREREREQEMAFFalSvXj1Nh6AkOzsb2traGkkENW7c+IO3SURERERERFRecYgGqc2bU/ASEhIQEhKCDh06wM7ODp06dcLixYuRnV1wQe28vDyEhYWhVatWcHR0RHBwMNLT05XKPH78GOPHj4ezszMcHBwwfPhw3Lp1S6mMp6cn5syZg7Vr18LDwwN2dnZITk7G3bt3MWnSJLRr1w729vbo1q0bNmzYALlcLlwbHx8PqVSKvXv3Ys6cOWjRogXc3d0xf/585ObmKrVz7NgxdOnSBba2tvjyyy8RFxdX4J44BY+IiIiIiIjo/3AEFJWJV69ewdTUFCEhITA2NsaDBw8QERGBxMREhIaGKpWNjIyEtbU15s+fj/j4eCxcuBBZWVlYsmQJACA9PR1+fn4Qi8WYPXs29PT0sHLlSgwcOBD79u2Dubm5UNfvv/+O+vXrY9q0aRCLxTAwMMCtW7dgYWGBHj16oFKlSrhx4wYiIiIgk8kwduxYpViWLl2KDh06YOnSpYiNjUVERATq1auHfv36AQBu3LiB8ePHo23btggJCUF8fDwmTpyoMrFGREREpGmZWVnIzc1TPqidAx399AJltbW1oa+v/4EiIyKiTw0TUFQmpFIpvv76a+G1k5MTJBIJgoODMXPmTEgkEuGcrq4uVqxYAS0tLQCAnp4epk+fjrFjx6JRo0bYtWsXnjx5goMHD6JRo0YAgBYtWsDDwwObNm1CcHCwUFdOTg7Wrl0LAwMD4ZirqytcXV0BAAqFAs7OzsjMzMSWLVsKJKDs7Owwffp0AEDr1q0RHR2N3377TUhArVmzBubm5gXinTZtmtqeHREREZE6rIrchn2/HYdcoShWebFYDG9vbwQEBJRxZERE9CniFDwqEwqFAhs3bkS3bt1gZ2cHa2trBAUFITc3F48ePVIq6+HhISRzAKBLly5QKBS4cuUKACAmJgaWlpZC8gkATE1N4ebmhgsXLijV5eLiopR8AoCsrCyEh4fDy8sLtra2sLa2xpIlS5CYmIj//vtPqay7u7vS60aNGuHZs2fC68uXL6uMl4iIiKi82ff7iWInnwBALpdjz549ZRcQERF90piAojKxadMmzJ8/Hx06dMAPP/yAX3/9FTNnzgTwOiH0pqpVqyq9NjQ0hJ6eHhISEgAAqampqFatWoE2qlatipSUlCLrAoAFCxZg/fr16N27N9asWYMdO3Zg9OjRKmMxMjJSeq2jo6M0vS4xMbHQeImIiIjKk56dPCEWiYpdPn8EFBERUVngFDwqE0eOHIGnpycCAwOFY3fv3lVZNikpSel1eno6srKyUL16dQCAiYkJ7t+/r/I6ExMTpWMiFf/JOnLkCPr27YuRI0cKx6Kioop/M28wMzMrNF4iIiKi8mSUny+G9PlcxRpQOtCpWqtAea4BRUREZYkjoKhMZGZmQkdHR+nY/v37VZb9448/kJf3f/8xOnLkCEQiEWxtbQEAzs7OuH37Nu7duyeUSUlJwZkzZ+Ds7PzOWLKyspRiycvLw8GDB0t0P/ns7OxUxktERERUHunr6cGwksFbX5VgaGhY4IvJJyIiKkscAUVlws3NDZs3b8aWLVvQoEED7Nu3Dw8fPlRZNjs7GwEBAejXr5+wC17nzp2FNZ98fHywceNG+Pv7Y+LEicIueNra2hg8eHCxYvn111/RuHFjVK5cGVu3bi31rnUjR47El19+qRTv+vXrOQWPiIiIiIiIqAgcAUVqlT8FLiAgAD169EB4eDgmT54s7Gynip+fHxo0aICpU6di4cKF8PLywrfffiucNzQ0RGRkJJo2bYoZM2YgKCgIJiYm2LJlC8zNzd8Z04wZM9CiRQvMnTsX06ZNQ5MmTTBq1KhS3Z+VlRWWLVuG+/fvY+zYsdi5cyeWLFkCXV3dUtVHRERERERE9CkQKRQl2BqDqAjjxo3Dq1evsGXLFk2H8tHL3wGwqXkVILd0o7WIiIiIVNLWhU612pqOQu1kMhlu3LiBZs2aFdgVmagk2JdInSp6f8r/7Jq/hE5ROAKK3ltKSgqOHTuGc+fOFavTEREREREREdGnhWtA0Xs7f/48pkyZAhcXF4wYMULT4VQoIm0dcIgiERERqZNIW+fdhYiIiNSMCSh6bx07dkRsbKymw6iQtE2razoEIiIiqoAUCoWwdicREdGHwCl4ROVUdnY2MjIyNB0GVQAZGRm4fv06+xOpBfsTqRP7k+Yw+URERB8aE1BE5Rj3CCB1UCgUyMjIYH8itWB/InVifyIiIvp0MAFFVI7xr5OkDiKRCBKJhP2JiIiIiIg0hmtAEZVTurq6kEgkmg6DKgCJRAIrKytNh0EfEa4NQ0RERETqxgQUUTmW8+IxFDnZmg6DiD4hIh1d6FSrrekwiIiIiKiCYQKKqBxT5GRDkZOp6TCIiIiIiIiI3gvXgKKP3tmzZ2Fvb4+4uDhNh0JEREREREREKjABRUqCg4Px2WefvXc9ERERcHR0VENERUtLS0NISAhmz54NOzu7MmvHz88P/v7+wusPdX9EREREREREFQGn4FGZ6N27N9q1a1fm7cyZMwedOnWCt7d3mbf1pg91f0REREREREQVARNQVCZq1qyJmjVrlnk7CxYsKPM2VPlQ90dERERERERUETABRSpFRUVhwYIFePjwISwtLTFz5kw4ODgAAPbs2YPt27fj7t27UCgUaNq0KaZMmaI0BS4iIgIbNmxAbGwsAEAmk2HhwoU4ffo0nj17hqpVq8Ld3R1TpkyBkZGRcJ2npyfat2+PRo0aYd26dUhNTYWLiwvmzZuHKlWqCOUeP36M+fPn4/Tp08jLy4OzszOmTp0KqVRaoK5atWph06ZNSE1NhZubG2bPno3q1asL5ZKTkzF//nycOHECGRkZsLKyQmBgIFq0aFHo83n7/nJycrB48WIcPnwYL168gKmpKWxsbLBgwQKl+yMi+hAys7KRm5dbqmtF2nLopqcXel4mkyEjIwPp6emQy+WFltPW1oa+vn6pYiAiIiKiiocJKCogMTERs2fPxrhx42BsbIy1a9di+PDh+P3331G1alXEx8fD29sb9erVQ3Z2Ng4ePIgBAwZg3759sLCwUFlnZmYm8vLyMGnSJFSpUgVPnz7FqlWrMGbMGERGRiqVPXHiBB4+fIiZM2fi1atXCA0Nxdy5c7FkyRIAQHp6Ovz8/CAWizF79mzo6elh5cqVGDhwIPbt2wdzc3OhrqNHj6J27dr45ptvkJqaioULF2LcuHHYvn07ACAvLw8jRozAo0ePEBQUhGrVqiEyMhJDhw7Ftm3bYGNjU6xntnr1amzbtg1BQUGwtLTEq1evcPr0aWRnZ5fmW0BEVGqrt+7A/mNRkCsUGo1DLBbD29sbAQEBGo2DiIiIiMoHJqCogOTkZCxduhSurq4AgJYtW6Jdu3bYuHEjAgMDMXbsWKGsXC5H69atERcXh927d2Py5Mkq66xSpQpmz54tvM7NzUWdOnXQv39/3L9/XylxpVAosHLlSujq6gJ4Pdpp9erVkMvlEIvF2LVrF548eYKDBw+iUaNGAIAWLVrAw8MDmzZtQnBwsFDXf//9h7Vr1wqjkGrWrIkhQ4bgzz//RJs2bXDy5EnExcVh3bp1aNOmDQDA3d0dnTp1wurVqxEREVGsZ3blyhW4u7tjwIABwrHOnTsX61oiInXaf/yUxpNPwOvfD3v27GECioiIiIgAcBc8UsHIyEhIPuW/dnNzw+XLlwEAd+/eRUBAANzc3NCsWTNYW1vj/v37ePDgQZH17tmzB97e3nB0dIS1tTX69+8PAAWua9GihZB8AoBGjRohJycHSUlJAICYmBhYWloKyScAMDU1hZubGy5cuKBUl4uLi9IUOFdXV5iamgr3EhMTA0NDQyH5BAA6Ojrw8vIqUFdRrKysEBUVhYiICMTFxRU5LYWIqCz16NAWYpFI02EII6CIiIiIiACOgCIV3lxrKV/VqlVx9+5dpKenY9iwYahSpQqCg4NRq1Yt6OnpYfr06cjKyiq0zqNHj+Lrr79G3759MWnSJJiamiIxMREBAQEFrjM2NlZ6nZ+Myi+XmpqKatWqqYzxn3/+KXBM1f0lJiYKdakqU61aNaSkpBR6P28bPXo0xGIxdu/ejeXLl6NKlSoYMGAAAgICICoHHwSJ6NPh3/9LDP6i53usAaUP3Zr1Cz0vk8lw+/ZtNGnSBAYGBoWW4xpQRERERPQmJqCogJcvXxY4lpSUBDMzM1y6dAnPnj3D6tWr0bRpU+F8WlpakbvCHTlyBM2aNcOcOXOEY+fOnStVfCYmJrh//77KGE1MTAoce9vLly9hZmYm1KWqzIsXLwrUVRRdXV2MGzcO48aNw8OHD7Fz505ERESgTp06HAFARB+cvp4uAN13llNFpKMPXUPDQs+LxWJIJBIYGhoWmYAiIiIiInoTp+BRAWlpaTh79qzS6zNnzsDe3h6ZmZkAXk9Ty3fx4kU8fvy4yDozMzOVrgGA/fv3lyo+Z2dn3L59G/fu3ROOpaSk4MyZM3B2dlYqGx0djbS0NOH12bNnkZycDHt7e6Gu9PR0/PXXX0KZ3NxcHDt2rEBdxVW/fn1MnjwZpqamSjESERERERERfao4AooKMDU1xbRp0zB+/HgYGRlh7dq1UCgUGDx4MADAwMAAs2fPxsiRI/H8+XNERESgRo0aRdbp5uaGOXPmYMWKFXB0dERUVJRSkqskfHx8sHHjRvj7+2PixInCLnja2tpCjPkqVaqEESNGYMSIEUhLS8PChQthZ2cnrPnUvn172NnZYcqUKQgMDBR2wUtISEB4eHixYxozZgysra1hZWUFiUSCP/74AykpKWjVqlWp7pGIiIiIiIioImECigowMzNDUFAQwsLC8O+//8LS0hLr168X1l1atmwZwsLCMGbMGDRo0ACzZ8/GunXriqzT19cX8fHx2LJlC9avXw93d3csWrQIffr0KXF8hoaGiIyMxPfff48ZM2ZALpfDyckJW7Zsgbm5uVJZLy8v1KxZE7NmzUJqairc3NyUduPT0tLCmjVrEBYWhgULFkAmk8Ha2hobNmyAjY1NsWNycnLC4cOH8eOPPyIvLw8WFhZYuHAh3NzcSnx/RERERERERBWNSKEoB3s1E5UBT09PtG/fHjNnztR0KCV25coVAIC0miEUOZkajoaIPiUiHX3omlsUel4mk+HGjRto1qwZ14Ci98b+ROrE/kTqwr5E6lTR+1P+Z1dbW9t3luUaUEREREREREREVKY4BY+oHBPplG4XKyKi0uL7DhERERGVBSagqMI6ceKEpkN4bzrVams6BCL6BCkUCohEIk2HQUREREQVCKfgEZVT2dnZyMjI0HQYVAFkZGTg+vXr7E9UbEw+EREREZG6MQFFVI5xjwBSB4VCgYyMDPYnIiIiIiLSGCagiMoxjkIgdRCJRJBIJOxPpBbsT0RERERUGlwDiqic0tXVhUQi0XQYVAFIJBJYWVlpOgyqINifyjeu30VERETlFRNQROVY9pN7kGdnajoMIiL6CIh19aFbq6GmwyAiIiJSiQkoonJMnp0JRZZM02EQEdFHQK7pAIiIiIiKwDWg6JMTHR2NVatWFTgeEREBR0dHDUREREREREREVLExAUWfnHPnzmH16tUFjvfu3RubNm3SQEREREREREREFRun4FG5kJeXB7lcDh0dHaXjCoUCOTk50NXVLfMYatasiZo1a5Z5O0RERERERESfGo6AolKJjY3FsGHD4OTkBEdHR/Tu3RunT58GACQnJyMkJAQuLi6ws7ODr68vzp8/r3S9n58f/P39sXv3bnTu3Bm2tra4efMmgoOD8dlnnyEqKgo9e/aEra0tTpw4IbQ5aNAgODg4wNnZGYGBgUhKShLqjI+Ph1Qqxd69ezFnzhy0aNEC7u7umD9/PnJzcwG8nma3fPlyyGQySKVSSKVS+Pn5CefenIIXHR0NqVSK06dPIzAwEI6OjvDw8MDatWsLPItRo0bB3d0dDg4O6NWrF/bs2aP2Z05ERERERET0seIIKCqxCxcuYPDgwXBwcMC8efNgbGyMq1ev4smTJ8jLy8OIESPw6NEjBAUFoVq1aoiMjMTQoUOxbds22NjYCPVcvXoVjx8/xoQJE2BsbAxzc3MAQEJCAubNm4fRo0fD3NwctWrVQmxsLPz8/NCuXTssWbIEGRkZWLp0KcaMGYPt27crxbd06VJ06NABS5cuRWxsLCIiIlCvXj3069cPvXv3xrNnz3DgwAFhup2hoWGR9ztr1iz06tULK1aswLFjx7Bw4UJIpVK0bdsWAPDkyRM4OTmhX79+0NXVxcWLFzF9+nQoFAp8/vnn6nz0RET0CcvMzkZubl6h50V5QG56+jvr0dbWhr6+vjpDIyIiInonJqCoxBYsWID69etj06ZN0NLSAgC4u7sDAI4fP464uDisW7cObdq0Ec516tQJq1evRkREhFBPSkoKduzYISSe3jy+du1a2NvbC8emTZsGGxsbLF++HCKRCADQpEkTYbRUu3bthLJ2dnaYPn06AKB169aIjo7Gb7/9hn79+gnT7MRiMRwcHIp1v506dcK4ceMAAK6urjh58iR+++03IQHVvXt3oaxCoUCLFi3w/PlzbN++nQkoIiJSizW/7sOBk2cgVyjeuy6xWAxvb28EBASoITIiIiKi4uEUPCqRjIwMXL58Gd7e3kLy6U0xMTEwNDQUkk8AoKOjAy8vL1y4cEGpbJMmTQoknwDA1NRUKfmUkZGBixcvokuXLsjLy0Nubi5yc3PRoEEDmJub48qVK0rX5yfD8jVq1AjPnj0r1f2+XZ9IJCpQX0pKCubNmwcPDw9YW1vD2toa27dvx/3790vdJhER0ZsORJ1VS/IJAORyOaeKExER0QfHEVBUIqmpqZDL5ahevXqh56tWrVrgeLVq1ZCSklLgmCpvH09NTUVeXh5CQ0MRGhpaoPzTp0+VXhsZGSm91tHRQXZ2tsq2ikNVfWlpacLr4OBgxMbGIiAgAI0bN4ahoSF+/vlnHD58uNRtEhERvemzdq5qHwFFRERE9CExAUUlYmRkBLFYjISEBJXnTUxMlBYGz/fixQuYmJgoHcufSve2t48bGRlBJBLB398fHTt2LFC+cuXKxQ1f7bKysnDy5EkEBwcLi5kDwNatWzUWExERVTwje/fEoF5dil4DSk8C/XpN31kX14AiIiIiTWACikrEwMAADg4O2Lt3L4YNG1ZgGp6zszPWr1+Pv/76S5i6lpubi2PHjsHZ2fm92rx37x5sbW3f+x7ed0TUm7KzsyGXy6GjoyMcS09PF3buIyIiUhd9XV1At/DzIj0D6L9jYw0iIiIiTWECikosMDAQQ4YMwZAhQ9C/f3+YmJjg2rVrqFy5Mj7//HPY2dlhypQpCAwMFHbBS0hIQHh4eKnbnDp1KgYPHoyJEyeie/fuMDY2xrNnz3DmzBn4+PjAxcWl2HU1atQIubm52LRpExwdHWFoaIiGDRuWKi4jIyPY2tpi7dq1qFKlCrS1tbFmzRoYGhri5cuXpaqTiIiIiIiIqKLhIuRUYs2bN8fmzZshEokQEhKCsWPH4tixY6hduza0tLSwZs0atG/fHgsWLMC4cePw33//YcOGDbCxsSl1m05OTti6dStkMhlCQkIwcuRI/PDDD9DX10f9+vVLVJeHhwf69++PNWvWoE+fPpg1a1ap4wKARYsWoV69eggODsa8efPQuXNnrq1BRERERERE9AaRQqGmLVWISG3yd/azNNKCIkum4WiIiOhjINIzgH4DK02HUSIymQw3btxAs2bNYGBgoOlw6CPH/kTqwr5E6lTR+1P+Z9fiLJfDEVBERERERERERFSmmIAiIiIiIiIiIqIyxUXIicoxsa4+5JoOgoiIPgpiXX1Nh0BERERUKCagiMox3Vql252PiIg+TQqFAiKRSNNhEBERERXAKXhE5VR2djYyMjI0HQZVABkZGbh+/Tr7E6kF+1P5xuQTERERlVdMQBGVY9ykktRBoVAgIyOD/YnUgv2JiIiIiEqDCSiicox/ySZ1EIlEkEgk7E+kFuxPRERERFQaXAOKqJzS1dWFRCLRdBhUAUgkElhZWWk6DKogPtb+xLWRiIiIiDSLCSiicizz4Q0osmSaDoOI6KMm0jOAfv1mmg6DiIiI6JPGBBRROabIkkGeka7pMIiIPmpcb4CIiIhI8/h/MioTwcHB+OyzzzQdRqE8PT0xZ84cTYdBRERERERE9EngCCj6JC1fvhzGxsaaDoOIiIiIiIjok8AEFH10MjMzoa+vX+zjqrxrAV2FQoGcnBzo6uqWKkYiIiIiIiIi+j+cgkdlKioqCp999hlsbW3h4+ODS5cuCef27NmDfv36oWXLlmjRogX8/PwQFxendH1ERAQcHR0RFxeHvn37wtbWFj/99BN27doFqVSK2NhYDB06FA4ODggLCwMAPHv2DEFBQXBxcYGdnR0GDBiAq1evKtX79hS8/CmDUVFR6NmzJ2xtbXHixAnIZDLMmTMHnTt3hr29PTw9PTFz5kykpaUp1Xf8+HH4+PjA0dERzZs3h4+PD6KiotT8NImIiIiIiIg+ThwBRWUmMTERs2fPxrhx42BsbIy1a9di+PDh+P3331G1alXEx8fD29sb9erVQ3Z2Ng4ePIgBAwZg3759sLCwEOrJyclBYGAghgwZgkmTJsHU1BTXr18HAAQGBqJv377w9/eHRCJBSkoK+vfvDwMDA8yYMQNGRkaIjIzE4MGDhXYLk5CQgHnz5mH06NEwNzdHrVq1kJmZiby8PEyaNAlVqlTB06dPsWrVKowZMwaRkZEAgH///RcTJkxA9+7dERgYCLlcjps3byIlJaVsHzARESnJys5BTl5egeNihRby0ove0EFbW7vYo2iJiIiIqOSYgKIyk5ycjKVLl8LV1RUA0LJlS7Rr1w4bN25EYGAgxo4dK5SVy+Vo3bo14uLisHv3bkyePFk4l5OTg0mTJqFbt27CsfwElK+vL0aOHCkcDw8PR2pqKn799Vch2eTq6orOnTtj/fr1mDp1aqHxpqSkYO3atbC3t1c6Pnv2bOHfubm5qFOnDvr374/79+/DwsIC169fR05ODmbMmAFDQ0MAQJs2bUr8vIiIqPTW7v4NB/86B7lCUarrxWIxvL29ERAQoObIiIiIiAhgAorKkJGRkZB8yn/t5uaGy5cvAwDu3r2LxYsXIzY2FklJSUK5Bw8eFKirXbt2Ktto37690uvTp0/DxcUFJiYmyM3NBfD6Q0WLFi1w5cqVIuM1NTUtkHwCXk8V3LhxIx4+fAiZTKYUp4WFBaRSKbS0tBAUFIQ+ffqgRYsWMDIyKrItIiJSr4OnS598Al7/IWTPnj1MQBERERGVESagqMxUqVKlwLGqVavi7t27SE9Px7Bhw1ClShUEBwejVq1a0NPTw/Tp05GVlaV0jUQiQaVKlVS2Ua1aNaXXr169wqVLl2BtbV2gbL169YqM9+26AODo0aP4+uuv0bdvX2H6X2JiIgICAoQ4LSwssGrVKqxevRpjx46FWCyGu7s7Zs6ciVq1ahXZJhERqUf31i3VMgKKiIiIiMoGE1BUZl6+fFngWFJSEszMzHDp0iU8e/YMq1evRtOmTYXzaWlpqFmzptI1IpGo2G2amJigTZs2mDBhQoFz79rRTlU7R44cQbNmzZQWLD937lyBcm3btkXbtm2Rnp6OU6dOITQ0FCEhIdi0aVOxYyciotIb8XlnDOruqXoNKP1KkDR2KPJ6rgFFREREVLaYgKIyk5aWhrNnzwrT8NLS0nDmzBkMGDAAmZmZAAAdHR2h/MWLF/H48WNYWlqWuk03Nzfs27cPjRo1goGBwfvdAIDMzEylGAFg//79hZY3NDREt27dEBcXhwMHDrx3+0REVHx6ujrQg06B42KJBJL/v0YfEREREWkGE1BUZkxNTTFt2jSMHz8eRkZGWLt2LRQKBQYPHgwAMDAwwOzZszFy5Eg8f/4cERERqFGjxnu1OWTIEOzfvx8DBw7EoEGDUKtWLbx8+RKXL19GjRo1MGTIkBLV5+bmhjlz5mDFihVwdHREVFQUzp49q1Rm27ZtuHTpEtq0aQMzMzPEx8dj3759aN269XvdCxEREREREVFFwQQUlRkzMzMEBQUhLCwM//77LywtLbF+/XphraVly5YhLCwMY8aMQYMGDTB79mysW7fuvdqsXLkytm/fjqVLl2LhwoVITk5G1apVYW9vDy8vrxLX5+vri/j4eGzZsgXr16+Hu7s7Fi1ahD59+ghlpFIp/vjjD4SGhiI5ORlmZmbo3r27ymmARERERERERJ8ikULxHlvGEFGZyN+xr7FeNuQZ6RqOhojo4yaWGELSxFnTYZAKMpkMN27cQLNmzdQydZ4+bexPpC7sS6ROFb0/5X92tbW1fWdZcVkHQ0REREREREREnzZOwSMqx0R6BswSExG9J5FexftrIxEREdHHhgkoonJMv34zTYdARFQhKBQKiEQiTYdBRERE9Mni4Aqicio7OxsZGRmaDoMqgIyMDFy/fp39idTiY+1PTD4RERERaRYTUETlGPcIIHVQKBTIyMhgfyK1YH8iIiIiotJgAoqIiIiIiIiIiMoUE1BE5RinjJA6iEQiSCQS9iciIiIiItIYLkJOVE7p6upCIpFoOgyqACQSCaysrDQdBpUDXIibiIiIiDSFCSiicizjn8uQZ6RrOgwiqgDEEkNILO01HQYRERERfaKYgCIqx+QZ6ZDLUjUdBhEREREREdF7qTBrQB07dgxOTk64ffu2pkMhIiIiIiIiIqI3lKsEVHBwMD777LMSX/f8+XPMmDEDCxcuRJMmTcogsqJ9++238PT0/ODtqjJmzBj4+flpOowPztPTE3PmzBFeF7cvpaWloUePHujYsSPOnTuHkJAQ7N27tyxDJSIiIiIiIvrklKsEVGnI5XJMnToVQ4YMKTdJIPp4/PXXXzA1NcWIESMQFBSE2NhYtG3bVtNhEREREREREVUoH/0aUGKxGJs2bdJ0GB9UZmYm9PX1NR1GhdC1a1d07doVANC3b18NR0NERERERERUMZXrEVARERFwdHQscLx58+aIiIgQXvv5+cHf3194/ezZM0yYMAFubm6wtbWFp6cnvvvuu3e2Fxsbi0GDBsHBwQHOzs4IDAxEUlKSUpnnz59j1KhRsLe3R5s2bbB27dpSx33y5EkMHToUrq6ucHJyQu/evXHq1Cmla3bt2gWpVIrY2FgMHToUDg4OCAsLAwDcvXsXAwcOhK2tLTp27Ijdu3ervK/z58/D19cXdnZ2cHFxQUhICJKTk4t8FtHR0ZBKpfjzzz8xYcIEODo6on379ti/fz8AYPPmzWjfvj1atmyJadOmITs7W7g2ISEBISEh6NChA+zs7NCpUycsXrxYqQzwevpbUFAQHB0d4erqisWLF2PDhg2QSqVCGZlMhjlz5qBz586wt7eHp6cnZs6cibS0tCLjf/M+vL294eDggC+//BJXr15VOr9hwwZ88cUXcHZ2hqurK/z9/XH//v0C9RSnb6xZswZeXl6wtbVFq1atMGTIEDx69KhYcRIRAUBWdg7SMzLL6CsD6enpavnKKEZdmZmZmn6cRERERFSOfPQjoFSZOnUqEhISMH36dFStWhVPnz4tkHh4W2xsLPz8/NCuXTssWbIEGRkZWLp0KcaMGYPt27cL5caMGYPnz5/jm2++gZGREdauXYunT59CW7vkjzI+Ph4eHh4YNmwYxGIxTp06hZEjR2LTpk1wcXFRKhsYGIi+ffvC398fEokEWVlZGDZsGCQSiZCQCg8PR3p6Oho0aCBcd/XqVQwdOhQuLi5YtmwZXrx4gUWLFuHOnTvYtm0btLS0iozxm2++weeff44+ffrgl19+wdSpU3Hz5k38888/mD17Nh49eoTvv/8edevWxahRowAAr169gqmpKUJCQmBsbIwHDx4gIiICiYmJCA0NFeoOCQnB33//jSlTpqB27dr45ZdfcO3aNaX2MzMzkZeXh0mTJqFKlSp4+vQpVq1ahTFjxiAyMrLI2BMTEzFv3jyMHDkSRkZGWLRoEcaOHYujR49CR0cHwOtk5cCBA1GrVi2kp6dj27Zt8PX1xW+//QZTU1MAxesbe/bswbJlyzB+/Hg4ODggLS0NFy5cwH///VdkjERE+dYdPIFDZ2MhVyg0HYpaiMVieHt7IyAgQNOhEBEREVE5UCETUFeuXMHkyZPRrVs34Zi3t3eR1yxatAg2NjZYvnw5RCIRAKBJkyb47LPPEBUVhXbt2uHUqVO4evUqNm7cCFdXVwCAi4sL2rVrJyQrSmLgwIHCv+VyOVxcXHDnzh388ssvBRJQvr6+GDlypPD6559/RkJCAg4fPiwknKysrNClSxelBNSqVatgZmaGVatWCUkXc3NzDB8+HFFRUe9cN6tLly4YO3YsAMDOzg5Hjx7FwYMHlZI4586dw5EjR4QElFQqxddffy3U4eTkBIlEguDgYMycORMSiQR37tzB0aNHMX/+fOF706ZNG2E6XL4qVapg9uzZwuvc3FzUqVMH/fv3x/3792FhYVFo7CkpKdiyZQssLS0BABKJBIMGDcLly5fRvHlzAMD//vc/oXxeXh5at24NV1dX/Pbbb8KUvOL0jbi4OEilUqWReB07dizy2RIRvenQ3xUn+QS8/r22Z88eJqCIiIiICEA5n4JXWlZWVtiwYQO2bt2Khw8fvrN8RkYGLl68iC5duiAvLw+5ubnIzc1FgwYNYG5ujitXrgAA4uLiYGRkJCSfAMDIyAhubm6livPZs2f4+uuv0aZNG1hZWcHa2hp//fWXyilg7du3V3odFxcHS0tLpWRT/fr10bRpU6VyMTEx6NChg5AsAgB3d3cYGxvjwoUL74yxdevWwr+NjIxQpUoVNG/eXKm+Bg0a4OnTp8JrhUKBjRs3olu3brCzs4O1tTWCgoKQm5srTEnLf6YdOnQQrhOLxfDw8CgQw549e+Dt7Q1HR0dYW1ujf//+AIAHDx4UGXv16tWF5BMANG7cGMDraZT5Ll26JIwQs7Kygr29PWQymVB3cfuGlZUVrl+/jtDQUMTExCAnJ6fI2IiI3tatlSPE/z/JXRHkj4AiIiIiIgIq6AioJUuWYMmSJVi6dClmz54NCwsLTJ48GZ06dVJZPjU1FXl5eQgNDVWaIpYvP7mSkJCAKlWqFDhftWrVEscol8sxevRopKWlYfz48ahfvz4kEgnCw8OVkjn5qlWrpvQ6ISFBZbtVq1ZFVlaW0r0VVi4lJeWdcRoZGSm91tXVhbGxsdIxHR0dpfWdNm3ahPnz5+Orr76Ci4sLjI2NceXKFcyZM0eILTExETo6OgXqf/v5Hj16FF9//TX69u2LSZMmwdTUFImJiQgICFC6T1VUxQlAuO7JkycYNmwYbGxsMHv2bFSvXh06Ojrw9/cXyhS3b/j4+OC///7DL7/8go0bN8LIyAje3t4ICgrigvFEVCxfdfeEn1cb5OTllUn9YgMjVLJu9d71yGQy3L59G02aNIGBgUGh5bS1tfn+R0RERESCcp2A0tPTKzCSJCcnBzKZrMjrqlevjtDQUMjlcly9ehUrV67EpEmTcOTIEdStW7dAeSMjI4hEIvj7+6ucNlW5cmWh3pcvXxY4//Zi1MWJ++HDh7h+/TpWrFih1GZxF22tXr16gfWS8mMxNDQUXpuYmBSIL7+ciYlJsdoqqSNHjsDT0xOBgYHCsbt37yqVMTMzQ05ODtLS0pSSUG8/3yNHjqBZs2aYM2eOcOzcuXNqifPPP/+ETCbD8uXLhWRVbm6uUmKuuH1DLBZj8ODBGDx4MJ4/f46DBw9i0aJFqFy5MqefEFGx6enqQA867y5YCmKJBJXe+P1Q6nrEYkgkEhgaGhaZgCIiIiIielO5noJXo0YN5OTk4N9//xWO/f3338gr5l+HxWIx7OzsMHHiROTm5hY6Hc/AwAAODg64d+8ebG1tC3zVqVMHAGBra4u0tDScPXtWuDYtLQ1nzpwpcdz5I2zenMr2+PFjxMbGFuvebG1t8c8//yjd08OHD3Hz5k2lcs7Ozjh+/Dhyc3OFY6dPn0ZqaiqcnZ2L1VZJZWZmKt0XAGH3vHw2NjYAgOPHjwvH5HI5/vjjjxLX9T5xikQipQXkDx8+rPSsits33lSjRg0MGzYMUqkU9+7dU0usRERERERERB+zcj0Cqm3btjAwMMD06dMxYsQIPHv2DJs3b4aenl6h16SlpWH48OHo1asXLCwskJOTg8jISBgbG8PKyqrQ66ZOnYrBgwdj4sSJ6N69O4yNjfHs2TOcOXMGPj4+cHFxQdu2bWFtbY0pU6YgKCgIRkZGWLNmjdKIo+LG3bBhQ9SsWROLFi2CXC6HTCZDeHg4qlevXqxn4+Pjg5UrV8Lf3x8TJkwA8HoXvLen6o0aNQq+vr7w9/eHn5+fsAuenZ0d2rVrV6y2SsrNzQ2bN2/Gli1b0KBBA+zbt69A8s/S0hJeXl6YN28eMjIyUKtWLfzyyy9CUujNuubMmYMVK1bA0dERUVFRSgnA99Gq1eupKCEhIfD19cU///yDH3/8scDUveL0jZkzZ8LY2BgODg4wNjbGxYsXcfPmTfTr108tsRIRERERERF9zMr1CKjKlSsjPDwcL1++REBAAHbs2IGwsDDo6uoWeo2enh6aNGmCyMhIjB49GlOnToVCocD69etVrt+Uz8nJCVu3boVMJkNISAhGjhyJH374Afr6+qhfvz4AQCQS4YcffoC1tTVmzpyJWbNmwdPTE507dy5x3Lq6uoiIiICuri4mTJiA8PBwjB49Gi1btizWs9HX18eGDRtQtWpVTJkyBQsXLsRXX30FW1tbpXI2NjbYsGED/vvvP4wbNw4LFixA+/btsXbtWmhpaRWrrZIKCAhAjx49EB4ejsmTJ0NPTw/Tp08vUO67775D+/btERYWhqlTp6Ju3br4/PPPlabk+fr6YtiwYdiyZQvGjh2Lp0+fYtGiRWqJUyqVIjQ0FNeuXYO/vz8OHjyIZcuWFViXqjh9w9HRERcuXMC0adPw1VdfYf/+/QgJCUHv3r3VEisRERERERHRx0ykUFSgPZ/pozdgwACIxWJERkZqOhSNyt9dr6EiFXJZqoajIaKKQGxgjEp2rd9d8B1kMhlu3LiBZs2acQ0oem/sT6RO7E+kLuxLpE4VvT/lf3Z9ezCMKuV6Ch5VbL/99huePn2KJk2aICMjAwcOHEBMTAxWrFih6dDKDbHk/RcMJiIC+H5CRERERJrFBBRpjIGBAfbu3YsHDx4gJycHDRs2xIIFC1TuNvepkljaazoEIqpAFAqF0jp7REREREQfChNQpDFt2rRBmzZtNB1GuZWdnY2MjAxIJBJNh0IfuYyMDNy/fx8WFhbsT584Jp+IiIiISFPK9SLkRJ86LtFG6qBQKJCRkcH+REREREREGsMEFBERERERERERlSkmoIjKMU6XIXUQiUSQSCTsT6QW7E9EREREVBpcA4qonNLV1eV6PaQWEokEVlZWmg6DKoiS9icufE5EREREABNQROWa7NrfyPsvVdNhEBGVilYlYxhYt9J0GERERERUDjABRVSO5f2XCnl6sqbDICIiIiIiInovXAOKiIiIiIiIiIjKFBNQRERERERERERUppiAIiIiIiIiIiKiMsUEFH30YmNjMWzYMDg5OcHR0RG9e/fG6dOnAQDJyckICQmBi4sL7Ozs4Ovri/Pnzxeo4+TJk/D19YW9vT1atGgBPz8/XL9+XTj/+PFjjB8/Hs7OznBwcMDw4cNx69YtpTqOHz8OHx8fODo6onnz5vDx8UFUVFTZ3jwRERERERHRR4CLkNNH7cKFCxg8eDAcHBwwb948GBsb4+rVq3jy5Any8vIwYsQIPHr0CEFBQahWrRoiIyMxdOhQbNu2DTY2NgCAQ4cOYfLkyejQoQMWLVoEHR0dXLx4Ec+fP4eVlRXS09Ph5+cHsViM2bNnQ09PDytXrsTAgQOxb98+mJub499//8WECRPQvXt3BAYGQi6X4+bNm0hJSdHwEyIiUp+snBzk5smLXV6klQlRenqJ2tDW1oa+vn5JQyMiIiKico4JKPqoLViwAPXr18emTZugpaUFAHB3dwfwekRSXFwc1q1bhzZt2gjnOnXqhNWrVyMiIgIKhQLz589H69atsWLFCqHedu3aCf/etWsXnjx5goMHD6JRo0YAgBYtWsDDwwObNm1CcHAwrl+/jpycHMyYMQOGhoYAILRJRFQRrP/9NA7HXINcoSjhlctKVFosFsPb2xsBAQElbIeIiIiIyjNOwaOPVkZGBi5fvgxvb28h+fSmmJgYGBoaKiWCdHR04OXlhQsXLgAA7t27h2fPnuGLL74otJ2YmBhYWloKyScAMDU1hZubm1CPVCqFlpYWgoKCcOLECaSlpanrNomIyoXSJZ9KTi6XY8+ePWXeDhERERF9WExA0UcrNTUVcrkc1atXL/R81apVCxyvVq2aMDUuOTkZAAqtI7+eatWqFThetWpVoR4LCwusWrUKaWlpGDt2LFxdXTFq1Cg8efKkpLdFRFQudW1uDbFIVObt5I+AIiIiIqKKhVPw6KNlZGQEsViMhIQEledNTEyQlJRU4PiLFy9gYmIC4PVIJgCF1pFfz/379wscT0pKEuoBgLZt26Jt27ZIT0/HqVOnEBoaipCQEGzatKkkt0VEVC4N79QaAz1almwNqEomMHL2LFE7XAOKiIiIqGLiCCj6aBkYGMDBwQF79+5FXl5egfPOzs5IT0/HX3/9JRzLzc3FsWPH4OzsDABo2LAhatasiV27dhXajrOzM27fvo179+4Jx1JSUnDmzBmhnjcZGhqiW7du6N69O+7evfs+t0hEVK7o6eigkr5esb8MJfowNDQs0ReTT0REREQVE0dA0UctMDAQQ4YMwZAhQ9C/f3+YmJjg2rVrqFy5Mj7//HPY2dlhypQpCAwMFHbBS0hIQHh4OABAJBLh66+/xuTJkzFu3Dj06tULurq6uHTpEmxtbeHh4QEfHx9s3LgR/v7+mDhxorALnra2NgYPHgwA2LZtGy5duoQ2bdrAzMwM8fHx2LdvH1q3bq3Jx0NERERERERULjABRR+15s2bY/PmzVi6dClCQkIgFothaWmJiRMnQktLC2vWrEFYWBgWLFgAmUwGa2trbNiwATY2NkId3bp1g76+PlatWoXJkydDT08PVlZW8PLyAvB6RFNkZCS+//57zJgxA3K5HE5OTtiyZQvMzc0BvF6E/I8//kBoaCiSk5NhZmaG7t27Y8KECRp5LkRERERERETliUih+ABb2hBRiVy5cgUA0CDjKeTpyZoNhoiolMSGpjBq2UnTYVA5JpPJcOPGDTRr1gwGBgaaDoc+cuxPpC7sS6ROFb0/5X92tbW1fWdZrgFFRERERERERERlilPwiMoxrUrGmg6BiKjU+B5GRERERPmYgCIqxwysW2k6BCKi96JQKCASiTQdBhERERFpGKfgEZVT2dnZyMjI0HQYVAFkZGTg+vXr7E+kFiXtT0w+ERERERHABBRRucY9AkgdFAoFMjIy2J9ILdifiIiIiKg0mIAiIiIiIiIiIqIyxQQUUTnGqSukDiKRCBKJhP2JiIiIiIg0houQE5VTurq6kEgkmg6DKgCJRAIrKytNh0EAFAo5RCL+7YeIiIiIPj1MQBGVY//FnoI8PVnTYRCRGogNTVHJsa2mwyAiIiIi0ggmoIjKMXl6MvJSX2o6DCIiIiIiIqL3wnkAZSA6OhpSqRRXrlxRa73x8fGQSqU4cuTIO8v+9NNPcHJywsyZM3Hv3j14eXmpNZa3HTt2DFKpFPHx8WXaDhERERERERF9fJiAKgPW1tbYvn07GjVqpLEYtm7dipCQECQnJ8PHxwcDBgzQWCxERERERERE9GnjFDw1UigUyMnJgaGhIRwcHDQay8GDBwEAvXv31mgcREREREREREQcAfUegoOD8dlnnyEqKgo9e/aEra0tTpw4oXIK3oYNG/DFF1/A2dkZrq6u8Pf3x/379wvUGRsbi2HDhsHJyQmOjo7o3bs3Tp8+rVQmKysLc+bMQYsWLeDu7o758+cjNzdXOH/37l1MmjQJ7dq1g729Pbp164YNGzZALpcr1ZOcnIyQkBC4uLjAzs4Ovr6+OH/+/DvvOycnB99++y1atmwJZ2dn/O9//8N///1XoNzChQvRo0cPODo6ok2bNpg8eTISEhKUyly4cAEDBgyAs7MzHB0d0aNHD+zevbvI9j09PTFnzhz89NNP8PDwgLOzM8aMGYOXL5XXSkpNTcU333wDd3d32NjYwMfHB3/99ZdwPiIiAi1btkROTo7Sdbdv34ZUKsWff/4pHDt58iR69+4NOzs7tGrVCrNmzYJMJlN6JvPnz0f79u1hY2MDd3d3jBo1Cmlpae98nkREREREREQVHUdAvaeEhATMmzcPo0ePhrm5OWrVqoVnz54VKPfs2TMMHDgQtWrVQnp6OrZt2wZfX1/89ttvMDU1BfA6GTN48GA4ODhg3rx5MDY2xtWrV/HkyROlupYuXYoOHTpg6dKliI2NRUREBOrVq4d+/foJMVlYWKBHjx6oVKkSbty4gYiICMhkMowdOxYAkJeXhxEjRuDRo0cICgpCtWrVEBkZiaFDh2Lbtm2wsbEp9J4XL16Mn3/+GePGjYOVlRUOHjyIRYsWFSiXlJQEf39/VK9eHS9fvsSPP/4IPz8/HDx4ENra2khPT4e/vz+cnZ2xePFi6Orq4s6dO0hNTX3ncz9x4gQePnyImTNn4tWrVwgNDcXcuXOxZMkSAEB2djaGDh2KpKQkTJw4ETVq1MC+ffvg7++PXbt2QSqVonv37li+fDn++usveHh4CHUfPHgQVatWhZubGwDgyJEjmDRpEnx8fDBu3DgkJiZi0aJFSE1NFdpbvXo1tm3bhqCgIFhaWuLVq1c4ffo0srOz33kvRFSxZOXkIjdPXuC4WCcLovT0Iq/V1taGvr5+WYVGRERERKQxTEC9p5SUFKxduxb29vbCMVUJqP/973/Cv/Py8tC6dWu4urrit99+Q9++fQEACxYsQP369bFp0yZoaWkBANzd3QvUZWdnh+nTpwMAWrdujejoaPz2229CAsrV1RWurq4AXk8LdHZ2RmZmJrZs2SIkoE6ePIm4uDisW7cObdq0Edrq1KkTVq9ejYiICJX3m5ycjK1bt2LEiBHw9/cHALRp0wYDBw7E8+fPlcqGhoYq3bOjoyPatm2Lv//+G+7u7rh//z7S0tIwefJkSKVSIfbiUCgUWLlyJXR1dQEAjx8/xurVqyGXyyEWi7F//37cvHkTe/fuRePGjYU4Hz58iB9++AHLli1Dw4YNYWVlhQMHDhRIQHXp0gVaWlpQKBQICwtDt27d8O233wplzMzMMHLkSIwZMwaWlpa4cuUK3N3dldba6ty5c7HuhYgqjg1/nMfhS7cgVygKKbGqyOvFYjG8vb0REBCg/uCIiIiIiDSIU/Dek6mpqVLyqTCXLl3C0KFD4eLiAisrK9jb20Mmk+HBgwcAgIyMDFy+fBne3t5C8qkwbyelGjVqpJT0ysrKQnh4OLy8vGBrawtra2ssWbIEiYmJwlS5mJgYGBoaCsknANDR0YGXlxcuXLhQaNu3b99GZmZmgV31OnXqVKBsVFQUfH194ezsDCsrK7Rt2xYAhHuuV68eDA0N8c033+DQoUMFptAVpUWLFkLyKf8Z5OTkICkpCQBw+vRpNGnSBA0aNEBubq7w5ebmpjQ1snv37jhx4gQyMzMBAHFxcXj06BG6d+8OALh//z4eP36Mrl27KtXTsmVLiMViXL16FQBgZWWFqKgoREREIC4ursB0RyL6NBSdfHo3uVyOPXv2qC8gIiIiIqJygiOg3lO1atXeWebJkycYNmwYbGxsMHv2bFSvXh06Ojrw9/dHVlYWgNfrFcnlclSvXv2d9RkZGSm91tHRUZrqtWDBAvz6668ICAiAjY0NjIyMcPz4caxcuRJZWVmoVKkSUlNTUbVqVZX3k5KSUmjbiYmJAFDg2refQ1xcHMaMGYMOHTpgxIgRqFq1KkQiEfr06SPcs4mJCX788UeEh4dj6tSpyMvLQ/PmzTF9+nRhRFRhjI2NlV7nJ6Py63716hWuX78Oa2vrAte+meDr3r07Fi5ciBMnTqBbt244cOAAateuDScnJ6EeAIWORnj69CkAYPTo0RCLxdi9ezeWL1+OKlWqYMCAAQgICIBIJCryXoio4ujqIH2vJFT+CCgiIiIiooqGCaj3VJzkwp9//gmZTIbly5cLiZPc3FylRI+RkRHEYnGBRbpL48iRI+jbty9GjhwpHIuKilIqY2JiIowWetOLFy9gYmJSaN1mZmYAXq/vVKNGDaXr3nTs2DEYGhpi6dKlEItfD7R7/Phxgfrs7Oywbt06ZGZmIjo6GvPnz0dAQACOHTtWjDstnImJCaRSqdK0OVXMzc3h5OSEQ4cOoUuXLjh8+DB69eolfF/z1+eaOXMm7OzsClyfnzDU1dXFuHHjMG7cODx8+BA7d+5EREQE6tSpww+TRJ+QYR4tMMDdUfUaUEaVYeTWtcjruQYUEREREVVUnIL3AWRmZkIkEkFb+//yfYcPH1bauc7AwAAODg7Yu3cv8vLy3qu9rKws6OjoCK/z8vJw8OBBpTLOzs5IT09X2hUuNzcXx44dg7Ozc6F1N2nSBPr6+jh69KjS8d9//13pdWZmJnR0dJQSdPv37y+0Xn19fbRr1w79+vVDfHy8MJKptNzc3PDo0SNUr14dtra2Bb7e1L17d0RFReGPP/5AQkICPvvsM+Fcw4YNUbNmTTx69EhlPW8m4fLVr18fkydPhqmpKe7du/de90FEHx89HW1U0tct8GUo0YOhoWGRX0w+EREREVFFxRFQH0CrVq0AACEhIfD19cU///yDH3/8scA0ssDAQAwZMgRDhgxB//79YWJigmvXrqFy5cr48ssvi92em5sbfv31VzRu3BiVK1fG1q1bC+zG1r59e9jZ2WHKlCkIDAwUdsFLSEhAeHh4oXWbmprC19cXa9euhb6+vrAL3r///qtUrnXr1ti0aRPmzp0LLy8vxMbGYu/evUplTp48iR07dqBjx46oVasWXrx4gS1btsDJyQl6enrFvl9VvL29sW3bNgwaNAjDhg1DgwYNkJaWhuvXryMnJweBgYFC2a5du+K7777DN998g8aNG6Np06bCOZFIhODgYAQFBUEmk6F9+/aQSCR48uQJoqKiMGnSJFhYWGDMmDGwtraGlZUVJBIJ/vjjD6SkpAjfeyIiIiIiIqJPGRNQH4BUKkVoaCiWL18Of39/NGvWDMuWLcPEiROVyjVv3hybN2/G0qVLERISArFYDEtLywLl3mXGjBmYNWsW5s6dC4lEgs8//xxeXl7CznnA63WQ1qxZg7CwMCxYsAAymQzW1tbYsGEDbGxsiqw/MDAQeXl5WLduHeRyOby8vBAYGIipU6cKZdq1a4egoCBs2bIFu3btgpOTE1avXq20M1y9evUgFouxdOlSJCUlwdTUFO7u7pg8eXKJ7lcVXV1dbN68GREREVi1ahUSExNhamoKKysr9O/fX6lslSpV0KpVK/z111/CToJv6tq1K4yNjbFq1SphFFft2rXRpk0bYe0rJycnHD58GD/++CPy8vJgYWGBhQsXws3N7b3vhYiIiIiIiOhjJ1Io3mO7HiIqE/k79TVIvo+81OLvDkhE5ZeWcRUYtemp6TDem0wmw40bN9CsWTMYGBhoOhz6yLE/kTqxP5G6sC+ROlX0/pT/2fXtpW5U4RpQRERERERERERUpjgFj6gcExuaajoEIlIT/jwTERER0aeMCSiicqySY1tNh0BEaqRQyCEScfAxEREREX16+L9gonIqOzsbGRkZmg6DKoCMjAxcv36d/akcYPKJiIiIiD5V/J8wUTnGPQJIHRQKBTIyMtifiIiIiIhIY5iAIiIiIiIiIiKiMsUEFFE5JhKJNB0CVQAikQgSiYT9iYiIiIiINIaLkBOVU7q6upBIJJoOgyoAiUQCKysrTYfxyeMC5ERERET0KWMCiqgcS48+iry0V5oOg4jek5ZRZRi6eGk6DCIiIiIijWECiiqsq1evYsCAAVi3bh1atGih6XBKJS/tFfKSX2g6DCIiIiIiIqL3wrkAGnbs2DH89NNPH6QtqVSK9evXC6937dqF/fv3l3m7zZs3R0RERJm386bs7GwEBwcjMDBQ7cmniIgIODo6qrVOIiIiIiIiooqMI6A07NixY8JInbK2fft21KpVS3i9e/duGBgYoEePHmXe9oe2bNkyWFlZYdCgQWqvu3fv3mjXrp3a6yUiIiIiIiKqqJiA+gRkZmZCX18fDg4Omg7lg5kyZUqZ1V2zZk3UrFmzzOonIiIiIiIiqmg4BU+Ff/75ByNGjICLiwvs7e3RuXNnrF27VjgfGxuLUaNGwd3dHQ4ODujVqxf27NmjVEd0dDSkUilOnz6NwMBAODo6wsPDQ6me4OBg7N69G//88w+kUimkUimCg4OL3YYqu3btglQqRWxsLIYOHQoHBweEhYUBUJ6C5+fnh3PnzuHkyZNC2/nT5E6ePImhQ4fC1dUVTk5O6N27N06dOlWsZ3fs2DF06dIFtra2+PLLLxEXF6ey3MmTJ9G7d2/Y2dmhVatWmDVrFmQy2Tvrf/78OaZOnQo3NzfY2dmhS5cu2LRpk3B+z5496Nev3/9j786joq73P46/hh0ERBRcc8lsQkVccgG33K3sSmWpGaaWkuCSuWGZJta1UnNBr1ua203NMtxKS00rLaubpqZ5u143XAlcIHZmfn/0Y24jqCCDw/J8nDPn8P2s7+/09Z477/P5fL5q0aKFmjdvrrCwsFwxXLx4USNHjlRISIgCAwPVsWNH/f3vf893/Y1b8FJSUhQdHa1u3bopKChIHTt21KRJk5SUlJSv7wwAAAAAgNKOFVB5ePHFF1WpUiW9+eab8vT01JkzZ3Tx4kVL/fnz59W0aVP17dtXLi4u+umnnzRx4kSZzWY9/vjjVmNNnjxZPXv21Pz587Vjxw7NmDFDRqNR7dq1U0REhBITE/Xf//5XM2bMkCT5+voWeI68jB49Wr1791Z4eLjc3d1z1U+ePFljx46Vm5ubxo8fL0mWVT1xcXHq0KGDBg0aJAcHB3311VcaMmSIVqxYoZYtW950zmPHjmnEiBFq166dJkyYoLi4OL300kvKyMiwardt2zaNGjVKTzzxhIYPH674+HjNnDlT169f16xZs246/pUrV9S7d29J0qhRo1SjRg2dPn1aZ86csbQ5c+aMevTooTp16igzM1NbtmxRv379tGnTJtWpU0eSNG7cOF2+fFkTJ05UxYoVdeHCBR05csQyxu3qb5SWlqbs7GyNGjVKvr6+unDhghYuXKiIiAitWrXqpv0AlH7pmVnKMpnkmJYux+RkS7mTk5Pc3NzsGBkAAABwd5GAukFiYqLi4uL06quvqmPHjpKkVq1aWbV59NFHLX+bzWY1b95cly5d0rp163Ilh7p27arhw4dLkoKDg7V7925t375d7dq1U82aNeXr66vz58/n2h5XkDny0qdPHw0ZMuSm9ffdd588PT3l4eGRa+5nn33W8rfJZFLLli31n//8Rx9++OEtE1CLFy9W1apVNX/+fDk6OkqSXF1d9eqrr1rdyzvvvKNHHnlEb775pqXcz89PQ4YMUUREhOrVq5fn+MuXL1dCQoI+++wz1ahRQ9Kf3+lfjRgxwuq6ffv2OnTokD755BO9/PLLkqTDhw/r5Zdf1iOPPGJpFxoaavn7dvU38vX11ZQpUyzXWVlZqlGjhp555hmdPHnSkvgCULa8/83P+uzIf2Q2/3/BrOWWOgcHB4WGhioyMtIusQEAAAB3GwmoG1SoUEHVq1fXu+++q2vXrik4ODjXeT/Xrl1TTEyMdu7cqUuXLik7O1uS5OPjk2u8Nm3aWP42GAyqW7eu1WqqmynIHHl56KGH8tUuLxcvXtSsWbO0b98+xcfHy/z/v54aNGhwy34///yzOnbsaEk+SVL37t2tElAnT57UuXPn9MorrygrK8tS3qJFCzk4OOjIkSM3TUB9++23atWqlSX5lJfTp08rJiZGBw8eVHx8vEwmkzIzM3Xq1ClLm/r162vZsmVydHRU69atVatWLasxblefl9jYWC1fvlynT5+22kp46tQpElBAGbXtyIn/JZ9uYDKZFBsbSwIKAAAAZQZnQN3AYDBo6dKluvfeexUdHa327dvriSee0A8//GBpExUVpS1btmjQoEFaunSpPvroIz355JO5tppJkpeXl9W1s7Nznu1uVJA58lKpUqV8tbuRyWTS0KFD9a9//UsjRozQypUr9dFHH6ldu3a3nTs+Pl4VK1a0KvP09JSrq6vl+sqVK5KkyMhINWjQwPIJCgpSdna2Lly4cNPxr169Kn9//5vW//HHHxo4cKBOnz6t8ePHa+3atYqNjVVAQIDS09Mt7WbNmqVWrVpp9uzZ6tq1q7p3767PP/883/U3+uKLLzR+/Hg1atRIs2fP1ocffqj58+dLktW8AMqW7g3rymDIuy5nBRQAAABQVrACKg916tTR3LlzlZmZqQMHDujdd9/Viy++qK+++kpOTk7avXu3oqKiFBYWZunzwQcf2Gz+9PT0Ip/jZk6fPq2jR49q/vz56ty5s6U8LS3ttn39/PyUkJBgVZacnGyVhMlZwTVp0iQ1atQo1xi3SjD5+Pjo8uXLN60/ePCgzp07pwULFshoNFrKb0xc+fv7a9q0aTKZTDpy5IgWLFigUaNGadu2bbrnnntuW3+jbdu2KSAgQNHR0Zay77///qZxAigbBrYJ0jMtG/x5BlT5ivJ+6H/bpzkDCgAAAGUNK6BuwdnZWS1atNCQIUOUnJysy5cvKyMjQyaTSc7OzpZ2ycnJ2rVr1x3PceMqGVvPUZC5c67/Ove5c+d04MCB247XqFEjffnll5btgtKfyZm/uvfee1WlShWdPXtWgYGBuT6VK1e+6fjBwcH67rvvdP78+TzrU1NTJclqC+CPP/540/YODg5q1KiRXnrpJWVlZen06dMFqs+RlpZm9X1J0ubNm296HwDKDldnJ5VzdVE5N1d5enpaPiSfAAAAUNawAuoGv/76q95++2098sgjuueee5ScnKxFixapevXqqlmzphwdHRUYGKglS5bI19dXTk5OWrx4sTw9PZWYmFjg+erWrauPP/5YW7ZsUa1atVShQgXVqFHDpnPczL333qvY2Fjt2rVLfn5+8vf3tySIZs6cKZPJpJSUFM2dO/eWK5NyDBkyRL169VJkZKT69u2ruLg4LV261GoLnsFgUFRUlMaMGaOUlBQ99NBDcnd31/nz57Vnzx6NGjXqpmcmDRgwQBs3btSzzz6roUOH6p577tHZs2d16tQpjR07Vo0bN5aHh4emTJmi8PBwXbx4UTExMVZJraSkJD3//PPq2bOn5U15q1atkre3t+rXr3/b+ryEhIQoOjpa8+fPV5MmTbRnzx59++23BfyvAQAAAABA6UUC6gZ+fn6qVKmSFi1apEuXLsnLy0sPPvigpk+fbllZM3PmTE2aNElRUVHy8fFRWFiYUlJStGzZsgLP16tXLx06dEhTp07V1atX9fjjj+utt96y6Rw3M3jwYJ05c0bjx4/X9evXNWzYMA0fPlwxMTGKjo7WyJEjVbVqVQ0dOlTfffedjhw5csvx6tevrzlz5mjGjBkaNmyY6tWrp1mzZun555+3avfwww/L29tbCxcutKwUql69utq2bXvLs6sqVKigNWvWaObMmZoxY4ZSU1NVvXp1PfPMM5L+PPdqzpw5eueddxQREaHatWsrOjpa7733nmUMV1dX3X///Vq1apUuXLggNzc3NWzYUEuXLpWvr68yMjJuWZ+XPn36KC4uTqtXr9bSpUvVpk0bzZw5U08//XS+/jsAAAAAAFDaGczmm72jB4C9HD58WJJU89IxZV/93c7RACgsR59KKt+5dCSlU1JSdOzYMQUEBMjDw8Pe4aCE43mCLfE8wVZ4lmBLpf15yvntGhgYeNu2nAEFAAAAAACAIsUWPKAYc/SqYO8QANgA/5YBAABQ1pGAAooxz5Zd7B0CABsxm00yGFh4DAAAgLKJ/ycMFFMZGRlKTU21dxgoBVJTU3X06FGeJzsj+QQAAICyjP83DBRjvCMAtmA2m5WamsrzBAAAAMBuSEABAAAAAACgSJGAAooxg8Fg7xAAAAAAACg0ElBAMeXi4iJ3d3d7h4ESxGwy2TsEAAAAAMgTb8EDirGkb7Yq+1qCvcNACeBYvqK82jxq7zAAAAAAIE8koIBiLPtagrITL9s7DAAAAAAACoUteChRjEajli5darkOCwtTeHi45TomJkZNmjQp0hgefPBBxcTEFOkcAAAAAACUJqyAQomybt06VatWzd5hAAAAAACAAiABhSKVlpYmNzc3m43XuHFjm40FAAAAAADuDrbglREHDhxQ//791bhxYzVr1kyjR49WQsKfh1vHxcXJaDRq48aNio6OVvPmzdWmTRu9/fbbysrKshrnxIkTGjZsmFq0aKGgoCD97W9/05YtWyz1RqNRixcv1vTp09W6dWsFBwdLyr1VTpKOHTsmo9Go/fv3S/pz+5zRaMzz89fx/7oF72aOHz+uvn37KigoSD169NDXX39tVR8bG6u+ffuqRYsWat68ucLCwnTo0KFc4+zYsUPdu3dXYGCgevXqlWeb3bt3a+DAgQoODlbTpk311FNP6auvvrptjAAAAAAAlBWsgCoDDhw4oLCwMLVv316zZs1SamqqZs+erYiICK1bt87Sbvbs2erUqZNmz56tAwcOKCYmRjVr1lTfvn0lSadOnVLv3r1VtWpVvfrqq/Lz89O///1vnT9/3mq+lStXKigoSG+++WauBNatPPXUU2rbtq3lOisrS1FRUXJ0dCzQ/WZmZmrMmDHq37+/IiIitGTJEo0YMUK7du1ShQoVJP2ZdAsNDVXNmjWVkZGhrVu3ql+/ftq0aZPq1Kkj6c8E2YgRI9SuXTtNmDBBcXFxeumll5SRkWE1X1xcnDp06KBBgwbJwcFBX331lYYMGaIVK1aoZcuWBYodyK/0rGxlZZss145pGXJKTs7VzsmJ/5kHAAAAYH/8MikDZs6cqYYNG2revHkyGAySpPvvv189evTQnj17VLduXUlSo0aNNHHiRElS69attX//fm3fvt2SgIqJiZGzs7PWrFkjT09PSVJISEiu+cqXL281V35VqVJFVapUsVxHR0crMTFR69evL9A4OQmo9u3bS5Lq1KmjTp066auvvlLPnj0lScOGDbO0N5lMat26tQ4dOqRPPvlEL7/8siRp8eLFqlq1qubPn29Jgrm6uurVV1+1mu/ZZ5+1Gqtly5b6z3/+ow8//JAEFIrE8v1H9dmvp2U231DxjzW52jo4OKhHjx5q06bN3QkOAAAAAPLAFrxSLjU1VT/99JO6d++u7OxsZWVlKSsrS7Vr11bVqlV1+PBhS9sbf6DWrVtXFy9etFx/99136tatmyX5dDPt2rUrcPLpRh9++KE++OADTZ8+3ZIgyy8HBwfL1j9JqlGjhtzc3HTp0iVL2YkTJxQZGamQkBAFBASoQYMGOnnypE6dOmVp8/PPP6tDhw5WK7C6d++ea76LFy9q/Pjxatu2rerXr68GDRrom2++0cmTJwsUN5Bf2349kzv5dBMmk8lqmywAAAAA2AMroEq569evKzs7W9OmTdO0adNy1V+4cMHyt5eXl1Wds7Oz1Xazq1evyt/f/7ZzVqxYsRARSz/++KOio6M1bNgwderUqcD93dzc5OLiYlXm7Oys9PR0SVJycrIGDRokX19fRUVFqVq1anJ1ddXEiRMtbSQpPj4+1714enrK1dXVcm0ymTR06FAlJSVpxIgRqlWrltzd3TV37lyr7xawpe4P1Mx7BVQeclZAAQAAAIA9kYAq5by8vGQwGBQeHq7OnTvnqs85Eyk/fHx8dPny5du2y2v1k4uLizIzM63Krl27lqvdhQsXNGLECLVv316RkZH5jq0gDh48qIsXL2rRokV64IEHLOVJSUlWWwD9/PwsB7XnSE5OtkpSnT59WkePHtX8+fOtvt+0tLQiiR2QpAEt66tvM6P1GVAV/FS+W59cbZ2cnGQymXTs2LG7GSIAAAAAWGELXinn4eGhxo0b67///a8CAwNzfWrUqJHvsYKDg7V9+3Yl53HQ8e1UqVJFJ0+elPkvSzb27t1r1SY1NVURERGqUKGC3n777UJv47uZnOSQs7Ozpeynn37SuXPnrNo1atRIX375pbKzsy1l27Zts2qTk4z661jnzp3TgQMHbB438FeuTo4q5+r8v4+bizw9PXN93Nzc7B0qAAAAALACqiwYN26cnnvuOb300kt69NFH5e3trYsXL2rfvn164oknVL169XyNM2zYMO3evVvPPPOMXnjhBfn5+enEiRNKTU3V4MGDb9m3W7du+uijjzR16lR17txZP/30k7Zv327VZtq0aTp+/Lj+/ve/6z//+Y9VXePGjQt0z7fSuHFjeXh4aMqUKRoyZIguXbqkmJgYVa5c2ardkCFD1KtXL0VGRqpv376Ki4vT0qVLrbbg3XvvvapSpYpmzpwpk8mklJQUzZ07N19bFQEAAAAAKCtYAVUGNG3aVB988IFSUlI0YcIEDRkyRP/4xz/k5uamWrVq5Xuc2rVra+3atapevbqmTJmioUOH6qOPPspXAqtdu3YaO3asdu3apcjISP3222+aMmWKVZuTJ08qOztb48ePV+/eva0+tlSpUiXNmTNHiYmJioiI0IoVKzRlypRc30X9+vU1Z84cnTx5UsOGDdPHH3+sWbNmWZ0v5eLiopiYGLm4uGjkyJGaO3euhg4dqhYtWtg0ZgAAAAAASjKD2ZzfdykBuFty3k54z5kDyk68/blbgKOvv3we7Z9nXUpKio4dO6aAgAB5eHjc5chQ2vA8wZZ4nmBLPE+wFZ4l2FJpf55yfrsGBgbeti0roAAAAAAAAFCkOAMKKMYcy1e0dwgoIXhWAAAAABRnJKCAYsyrzaP2DgEliNlkksGBha0AAAAAih9+qQDFVEZGhlJTU+0dBkoQkk8AAAAAiit+rQDFGO8IAAAAAACUBiSggGLMYDDYOwQAAAAAAAqNBBRQTLm4uMjd3d3eYcBGzCaTvUMAAAAAALvhEHKgGLu+c4Oyr8bbOwwUkqOPn7w7PWHvMAAAAADAbkhAAcVY9tV4Zf1+0d5hAAAAAABQKGzBAwAAAAAAQJEiAYUSYcOGDdq8eXORzhETE6MmTZoU6RwAAAAAAJRFbMFDifDJJ5/Iw8NDjz32WJHN8dRTT6l9+/ZFNj4AAAAAAGUVCSjg/1WpUkVVqlSxdxgAAAAAAJQ6bMHDXXHgwAENGjRITZs2VZMmTfTUU09p7969kqSrV69qwoQJatmypRo1aqQ+ffrohx9+sPQNCwvT999/r927d8toNMpoNComJsZSv3v3bj311FNq1KiRWrVqpcmTJyslJcVq/t9++039+vVTYGCgunbtqk2bNikiIkJhYWGWNjduwdu/f7+MRqP27NmjYcOGqXHjxmrTpo0WLlyY6/5OnDihoUOHqlmzZmrcuLGGDBmiM2fO2Oz7AwAAAACgJGMFFIrcv/71Lz333HNq3Lix3njjDXl7e+vIkSM6f/68srOzNXjwYJ09e1ZjxoxRpUqVtGrVKg0cOFBr165Vw4YNNXnyZI0dO1Zubm4aP368JFlWKm3btk2jRo3SE088oeHDhys+Pl4zZ87U9evXNWvWLElSWlqaBg0aJG9vb02fPl2SNH/+fF2/fl01a9a8bfyvvfaaHn30UcXExGjfvn2aNWuWypcvr759+0qSzp49qz59+qhevXp66623ZDAYtHDhQg0YMEDbtm2Ti4tLUXytKObSs7KVZTJLkpzSM+ScnJyrjZOTk9zc3O52aAAAAABw15GAQpGbPn26atWqpRUrVsjR0VGS1KZNG0nSzp07dejQIb333ntq27atpa5r165atGiRYmJidN9998nT01MeHh5q3LixZVyz2ax33nlHjzzyiN58801LuZ+fn4YMGaKIiAjVq1dPH3/8sRISErRmzRrVqFFDktSwYUN17do1XwmoVq1aWRJfbdu2VUJCghYsWKDevXvLwcFB8+bNU/ny5fX+++/L1dVVktS0aVN16tRJ69evV79+/Qr/JaJEWXHghLb955zM5r8ULo3N1c7BwUGhoaGKjIy8a7EBAAAAgD2wBQ9FKjU1VT///LNCQ0Mtyae/+vHHH+Xp6WlJPkmSs7OzunTpon/961+3HPvkyZM6d+6cHn74YWVlZVk+LVq0kIODg44cOSJJOnLkiO6//35L8kmSatSooQceeCBf99ClSxer627duunSpUu6ePGiJGnv3r3q2LGjHB0dLTF4e3urfv36lhhQtmy/Mfl0EyaTSbGxsUUeDwAAAADYGyugUKSuX78uk8kkf3//m9ZXrFgxV3mlSpV07dq1W4595coVSbrp6pELFy5Iki5fvixfX99c9b6+vkpPT7/lHDntboxNkuLj41WtWjVduXJFK1as0IoVK3L1dXZ2vu34KH263Vc99wqoPOSsgAIAAACA0o4EFIqUl5eXHBwcdPny5Tzry5cvr4SEhFzlv//+u8qXL3/LsX18fCRJkyZNUqNGjXLV5yS9/P39dezYsVz1iYmJKleu3O1uQYmJiblik/7c6pdzD+3bt9czzzyTq29+xkfp81yTuuoTWPt/Z0BV9JfP3wbmascZUAAAAADKChJQKFI55zZt3LhRgwYNyrUNr1mzZlq6dKm++eYby7lQWVlZ2rFjh5o1a2Zp5+zsnGu10r333qsqVaro7NmztzxnqWHDhoqNjdXZs2d1zz33SJLi4uL066+/Ws1xM1988YXVNrzt27fL39/fchB6cHCwfvvtN9WvXz/PbYYom1ydHOX6/387ubrI09PTrvEAAAAAgD2RgEKRGz16tAYMGKABAwbomWeeUfny5fXLL7+oQoUKevzxx9WoUSONHTtWo0ePtrwF7/Lly5o7d65ljHvvvVexsbHatWuX/Pz85O/vr8qVKysqKkpjxoxRSkqKHnroIbm7u+v8+fPas2ePRo0apTp16ujJJ5/UwoUL9eKLL2r48OGSpHnz5qlSpUoyGAy3jf+7777T22+/rdatW2vv3r3auHGjJk2aJAeHP49QGzFihHr16qXnn39eTz/9tCpVqqTff/9d33//vR588EH16NGjaL5YAAAAAABKCBJQKHIPPvigVq5cqdmzZ2vChAlycHBQvXr19NJLL8nR0VGLFy/WO++8o+nTpyslJUUNGjTQsmXL1LBhQ8sYgwcP1pkzZzR+/Hhdv35dw4YN0/Dhw/Xwww/L29tbCxcu1ObNmyVJ1atXV9u2bS1nNbm5uWnZsmWaPHmyxowZo8qVKysiIkKxsbHy8vK6bfzR0dFat26d1qxZo3LlymnkyJFWK65q1aql9evXa/bs2ZoyZYpSUlLk5+en5s2by2g02vjbBAAAAACg5CEBhbuiadOmWrlyZZ51FSpU0LRp027Zv3Llylq8eHGeda1bt1br1q1v2b9evXr64IMPLNdXr17VtGnTNGDAAEvZ8OHDLSuk/qpixYpasGDBLcevXbu2Zs+efcs2AAAAAACUVSSgUCYsXrxYlSpVUvXq1RUfH69ly5YpOztbTz75pL1DAwAAAACg1CMBhTLBwcFBCxYs0KVLl+To6KigoCCtWLFCVatWtXdot+To42fvEGAD/HcEAAAAUNaRgEKZ8MILL+iFF14oUJ+WLVvq+PHjRRRR/nh3esKu88N2zCaTDP9/cD0AAAAAlDX8GgKKqYyMDKWmpto7DNgIyScAAAAAZRm/iIBizGw22zsEAAAAAAAKjQQUUIwZDAZ7hwAAAAAAQKGRgAKKKRcXF7m7u9s7DNzAbDLZOwQAAAAAKHE4hBwoxq59tlbZiZftHQb+n6Ovv8o/3MfeYQAAAABAiUMCCijGshMvKyv+vL3DAAAAAACgUNiCB9jQ6dOn1aRJE3322Wf2DgUAAAAAgGKDBBRKlKioKPXo0cNu88fExKhJkyZ51mVnZ2v8+PHq37+/Hn744bscGQAAAAAAxRdb8FCiREREKCUlxW7zP/XUU2rfvn2edYsXL5a3t7dGjhx5l6MCAAAAAKB4IwGFEqVmzZp2nb9KlSqqUqVKnnVDhw69y9EAAAAAAFAysAUPJcqNW/AuXryoMWPGqGXLlmrUqJH69eunI0eOWPXJzMzUm2++qRYtWqhZs2Z65ZVXtHHjRhmNRsXFxUmS9u/fL6PRqMOHD1v1jYiIUFhYmOU6ry14169f1+uvv642bdqoYcOGeuKJJ/TNN9/Y+tYBAAAAACixWAGFEuvatWt65pln5OHhoddee01eXl5atWqVnnvuOX3++eeqWLGiJOndd9/VmjVrNHz4cNWvX19bt27VzJkzbRJDRkaGBg4cqISEBL300kuqXLmyNm3apPDwcG3YsEFGo9Em88B20rOylWU231Ffp/RMuSQn3/HcTk5OcnNzu+P+AAAAAFBSkYBCibVixQpdv35d69evtySbgoOD1a1bNy1dulTjxo3T1atX9cEHH2jw4MEKDw+XJLVt21bPPvusLl26VOgYNm/erF9//VUbN27UfffdZxn/9OnT+sc//qE5c+YUeg7YzoojZ7T95CXdWfpJkg5I//z0jns7ODgoNDRUkZGRdzwGAAAAAJREbMFDibV37161bNlS5cuXV1ZWlrKysuTg4KDmzZtbttL9+9//Vlpamrp06WLVt2vXrjaL4f7771ft2rUtMWRlZSkkJCTXdj7Y3+enCpN8KjyTyaTY2Fg7RgAAAAAA9sEKKJRYV65c0cGDB9WgQYNcdTmHlcfHx0uSZYVUjkqVKtkshqNHj+YZg6Ojo03mgO10rV25kCugCidnBRQAAAAAlDUkoFBilS9fXm3bttXIkSNz1bm4uEiS/Pz8JEkJCQmqXLmypf7333+3au/q6irpzwPL/+r69esyGAy3jMFoNOrNN9+8s5vAXfVcw5rq80D1Oz8DqmJVVXg6/I7n5wwoAAAAAGUVCSiUWCEhIdq0aZPq1q0rDw+PPNvcf//9cnNz0xdffKH69etbyj///HOrdlWqVJEknThxQk2bNpUkJSYm6pdfflHDhg1vGcOePXvk7+9vleBC8eXq5CjXO+zr5OosT09Pm8YDAAAAAGUBCSiUWAMGDNDmzZv17LPPqn///qpWrZoSExP1888/q3LlyhowYIB8fHzUp08fLVmyRG5ubpa34J05c8ZqrCpVqigoKEjz58+Xl5eXnJyctGTJEnl5ed0yhtDQUK1du1b9+/fXoEGDVLt2bSUlJeno0aPKzMzU6NGji/IrAAAAAACgRCABhRInZ0tchQoVtG7dOs2ePVszZszQ1atXVbFiRQUFBVkdOj569GhlZ2frvffek8lkUpcuXTR69GiNGzfOatwZM2Zo4sSJmjBhgipVqqSXXnpJW7duVVJS0k1jcXFx0cqVKxUTE6OFCxcqPj5ePj4+ql+/vp555pmi+QIAAAAAAChhSEChRPnjjz9Uvnx5y7Wfn99tz19ycXHRxIkTNXHiREvZjh07crWrWbOmVq5caVX26KOPWl0PHz5cw4cPtyrz9PTUhAkTNGHChHzfBwAAAAAAZYmDvQMA8uPatWvasWOHvv/+ewUGBto7HAAAAAAAUACsgEKJ8MMPP2js2LFq2bKlBg8ebO9w7hpHX397h4C/4L8HAAAAANwZElAoETp37qwDBw7YdLzjx4/bbLyiUv7hPvYOATcwm0wyOLB4FAAAAAAKgl9RQDGVkZGh1NRUe4eBG5B8AgAAAICC45cUUIyZzWZ7hwAAAAAAQKGRgAKKMYPBYO8QAAAAAAAoNBJQQDHl4uIid3d3e4dRqphNJnuHAAAAAABlEoeQA8XY1U0rlfX7JXuHUSo4Vaosn7/1t3cYAAAAAFAmkYACirGs3y8p61KcvcMAAAAAAKBQ2IIHAAAAAACAIkUCCgAAAAAAAEWKBBQAAAAAAACKFAko3BUHDhzQoEGD1LRpUzVp0kRPPfWU9u7dK0maMWOGHnvsMTVp0kRt27bVyy+/rMuXL1v1DwsLU3h4uLZs2aKuXbsqKChIL774oq5du6Zz587p+eefV5MmTfToo49q//79Vn1jY2PVt29ftWjRQs2bN1dYWJgOHTpk1SYmJkZNmjTR0aNH1bt3bzVq1EiPP/64jh49qvT0dE2ePFnNmzdXu3bttHz58jxj+6tjx47JaDTmigUAAAAAgLLIpoeQp6WlSZLc3NxsOSxKuH/961967rnn1LhxY73xxhvy9vbWkSNHdP78eUlSQkKCwsPD5e/vr8TERL3//vsKCwvT1q1b5eT0v0f06NGjunLlisaNG6fk5GS98cYbeu2113Tu3DmFhoZq4MCBWrRokYYPH64vv/xS5cqVkyTFxcUpNDRUNWvWVEZGhrZu3ap+/fpp06ZNqlOnjmX8zMxMjR8/XgMGDFClSpU0Y8YMDRs2TE2bNlXFihU1e/Zs7dy5U9OmTVOjRo3UtGnTu/tFIl/Ss03KMplzlTtlZMotOfmWfZ2cnPjfLwAAAAAoAoVOQJ0/f14xMTHas2ePrly5IkmqUKGC2rdvr2HDhql69eqFDhIl2/Tp01WrVi2tWLFCjo6OkqQ2bdpY6qdNm2b5Ozs7W02aNFG7du303XffWbVLTk7WwoUL5evrK0k6fvy4li1bptdff119+/aVJPn7++uxxx7Tt99+q86dO0uShg0bZhnDZDKpdevWOnTokD755BO9/PLLlrrMzEyNGTNG7du3t7R98cUXFRQUpAkTJkiSWrVqpW3btmnbtm0koIqhVccvaPvZBOVOP0nSMWn9zlv2d3BwUGhoqCIjI4siPAAAAAAoswqVgDpx4oSeeeYZJSUlKSQkRHXr1pUk/fe//9XGjRv15Zdf6oMPPtC9995rk2BR8qSmpurnn3/Wyy+/bEk+3WjPnj1asGCBfvvtNyX/ZYXKqVOnrBJQDzzwgCX5JEm1a9eWJIWEhOQqu3jxoqXsxIkTevfdd3XgwAElJCRYjf9XDg4OCg4OvuX4jo6OqlmzptX4KD4+j7tZ8il/TCaTYmNjSUABAAAAgI0VKgE1c+ZMOTg46JNPPpHRaLSq+/e//60BAwZo5syZmj9/fqGCRMl1/fp1mUwm+fv751l/6NAhRUREqFOnTho8eLAqVqwog8Ggp59+Wunp6VZtvb29ra6dnZ0lSV5eXpYyFxcXSbL0TU5O1qBBg+Tr66uoqChVq1ZNrq6umjhxYq7x3dzcLP1vNn5O+Y19UTx0rVHxFiugbi9nBRQAAAAAwLYKlYD64YcfNHDgwFzJJ0m6//771a9fv1wHNqNs8fLykoODQ65DxXPs2LFDnp6emj17thwc/jwT/9y5czab/+DBg7p48aIWLVqkBx54wFKelJSkKlWq2GQOFxcXZWZmWpVdu3bNJmOjYMKMVfX0fZXzPgPKv5oqPjvilv05AwoAAAAAikah3oKXlZV1yx9r7u7uysrKKswUKOE8PDzUuHFjbdy4UdnZ2bnq09LS5OzsLIPBYCnbvHmzzebPORg/ZzWTJP300082TXJVqVJFJ0+elNn8v6RHzhv+cPe5OjqonLNj7o+Lszw9PW/5IfkEAAAAAEWjUAmogIAArV+/XklJSbnqkpOT9dFHH6l+/fqFmQKlwOjRo3Xq1CkNGDBAn332mfbt26clS5boo48+UuvWrRUfH6+pU6fq22+/1T/+8Q998sknNpu7cePG8vDw0JQpU/TNN9/o448/1ssvv6zKlSvbbI5u3brp/Pnzmjp1qvbt26d58+Zp+/btNhsfAAAAAICSrlAJqOHDh+vs2bN6+OGH9e6772rDhg3asGGDZs6cqe7du+vMmTMaPny4rWJFCfXggw9q5cqVMhgMmjBhgoYNG6YdO3aoevXqat++vcaMGaOdO3dq6NCh+vHHH7Vo0SKbzV2pUiXNmTNHiYmJioiI0IoVKzRlyhTVqlXLZnO0a9dOY8eO1a5duxQZGanffvtNU6ZMsdn4AAAAAACUdAbzX/cN3YF9+/bpnXfe0a+//mpVHhAQoHHjxlm9VQxA/hw+fFiSVPWHbcq6FGfnaEoHp8o1VGnQWHuHYRcpKSk6duyYAgIC5OHhYe9wUMLxPMGWeJ5gSzxPsBWeJdhSaX+ecn67BgYG3rZtoQ4hl/58RX1sbKzi4+N1/vx5SVK1atXk5+dX2KEBAAAAAABQChQ6AZXDz8+PpBMAAAAAAAByKVACKjY2VpLUs2dPGQwGy/XthIaGFjAsAJLkVMl2h6WXdXyXAAAAAGA/BUpARUVFyWAw6JFHHpGLi4uioqJu28dgMJCAAu6Qz9/62zuEUsVsMsngUKh3LwAAAAAA7kCBElA7d+6UJLm4uFhdA7C9jIwMpaamyt3d3d6hlBoknwAAAADAPgqUgKpevfotrwHYViFfUgkAAAAAQLFgk0PIs7Oz9csvvygu7s/XxdeoUUMNGjSQo6OjLYYHyiyDwWDvEAAAAAAAKLRCJ6A2bNigd999VwkJCZbVGgaDQb6+vho1apR69epV6CCBssjFxYXtd3bCWVEAAAAAYFuFSkCtXbtWr7/+ugICAjRs2DDVrl1bknTy5EmtW7dOr732mjIzM9W3b19bxAqUOVc+ek9Z8RftHUaZ4uRXRRV6vWDvMAAAAACgVClUAmrJkiV68MEH9f7778vZ2dlS3qpVK/Xq1UvPPfec3nvvPRJQwB3Kir+orAtn7B0GAAAAAACFUqg9Jr///rsefvhhq+RTDmdnZz366KNKSEgozBTALe3fv19Go1GHDx+2dygAAAAAAOAmCpWACggI0MmTJ29af/LkST3wwAOFmQIAAAAAAAAlXKESUK+99pq2bdumFStWKC0tzVKelpam5cuXa9u2bZo0aVKhgwQAAAAAAEDJVagEVFRUlBwcHPTWW2/pwQcfVMeOHdWxY0c9+OCDevvtt+Xo6Kjx48frscces3z+9re/2Sp2lGAbNmxQ/fr19fvvv1uVX716VQ0bNtTatWt14MABvfjii2rTpo0aN26snj17KjY29rZjm81mLV26VN26dVPDhg3VqVMnLV++3KpNTEyMmjRpouPHj6tv374KCgpSjx499PXXX+caLzY2VqGhoQoMDFTLli01ePBgnTt3TpJ0+fJlTZgwQZ06dVKjRo3UtWtXvfvuu8rIyLjj7wYAAAAAgNKmUIeQ+/j4yMfHR7Vq1bIqr169eqGCQunXpUsXTZ48Wdu2bdOzzz5rKf/8888lSd27d9fevXvVtGlT9e3bVy4uLvrpp580ceJEmc1mPf744zcd+80339T69ev14osvKigoSD/99JNmzJghV1dXqwPxMzMzNWbMGPXv318RERFasmSJRowYoV27dqlChQqSpPfee0/Tp09Xr169NGrUKGVmZuq7775TYmKiqlevritXrsjHx0cTJkyQt7e3Tp06pZiYGMXHx2vatGlF9O3BFtKzTcoym3OVO2Vkyj05+ab9nJyc5ObmVpShAQAAAECpk+8EVHp6ulxdXa3KVq1aZfOAUDZ4eXmpffv22rJli1UCasuWLWrdurV8fHz06KOPWsrNZrOaN2+uS5cuad26dTdNQJ05c0arV6/WlClT1Lt3b0lSSEiI0tLSNH/+fPXu3VsODn8u/MtJQLVv316SVKdOHXXq1ElfffWVevbsqaSkJM2bN0+9e/dWdHS0ZY7OnTtb/jYajRo/frzlumnTpnJ3d1dUVJQmTZokd3d3G3xbsLVV//1dn1+4ptzpJ0k6JW365qZ9HRwcFBoaqsjIyCKKDgAAAABKn3xvwVu6dKkWLlxYlLGgjHn00Ud18OBBnT9/XtKf29l++OEHS+Lp2rVreuONN9ShQwc1aNBADRo00Lp162558P2+ffskSV27dlVWVpblExISovj4eF24cMHS1sHBQcHBwZbrGjVqyM3NTZcuXZIkHThwQKmpqerVq9dN5zObzVq+fLkeeeQRNWrUSA0aNNCYMWOUlZWls2fP3vmXgyL1xU2TT7dnMpnytRUUAAAAAPA/+V4B1aRJE7300kv66aefNH36dJUvX14//PBDvvo2b978jgNE6dWhQwe5u7tr69atGjx4sD777DO5urpaVhhFRUXpwIEDioyM1H333SdPT0+tWbNGn3322U3HvHLlisxms1q1apVn/YULFyxbRN3c3OTi4mJV7+zsrPT0dEl/nkclSf7+/jedb8WKFXr77bf1wgsvqGXLlvL29tbhw4cVHR1tGQfFT5eq5W+xAurWclZAAQAAAADyL98JqODgYG3dulXR0dHq2bOndu/erbCwMBkMhpv2MZvNMhgMOnbsmE2CReni5uamzp0769NPP9XgwYP16aefqkOHDvLw8FB6erp2796tqKgohYWFWfp88MEHtxyzfPnyMhgM+uCDD+Ts7Jyrvk6dOvmOz8fHR9KfK7OqVKmSZ5tt27apY8eOGj16tKXsxIkT+Z4D9hF2byU9Xcs37zOgKtdQpefH3rQvZ0ABAAAAQMEV6BDySpUqae7cudqxY4ckaeXKlUUSFMqOHj16aMiQIfr666918OBBDR48WJKUkZEhk8lklURKTk7Wrl27bjlezpa6q1evqmPHjoWKrUmTJnJ3d9fHH3+sRo0a5dkmLS0tV6Jr8+bNhZoXd4ero4Nc8yh3cnGWp6fnXY8HAAAAAEqzO3oLXs4WqRYtWtg0GJQ9ISEh8vHx0SuvvCJvb2+1a9dO0p+HlAcGBmrJkiXy9fWVk5OTFi9eLE9PTyUmJt50vDp16qhfv34aN26cnn/+eQUFBSkzM1OnTp3S/v379Y9//CPfsXl5eSkyMlIzZsyQ2WxWp06dZDKZtH//fj366KMKDAxUSEiIVq5cqdWrV6t27dratGmTTp8+XejvBQAAAACA0uSOElA5srKylJaWdtPVAsnJyXJzc5OTU6GmQSnm7Oysbt26ad26derVq5fVmUwzZ87UpEmTFBUVJR8fH4WFhSklJUXLli275ZgTJ05UnTp1tG7dOs2fP1/lypVTnTp11L179wLHN3jwYPn6+mr58uVat26dpD/PrqpYsaIkKTIyUleuXNHcuXMlSd26ddPEiRP14osvFnguAAAAAABKK4PZnMchKPn0+uuv68cff9SWLVvyrH/sscfUsmVLTZw48Y4DBIqLuLg4RUVFafXq1UU+1+HDhyVJVb7ZqKwLZ4p8PvyPU9Wa8htauv43KyUlRceOHVNAQIA8PDzsHQ5KOJ4n2BLPE2yJ5wm2wrMEWyrtz1POb9fAwMDbtnUozERff/21unXrdtP6bt266auvvirMFECxsGvXLv366686ePCgrl27Zu9wAAAAAAAoUQq1N+7y5cuqXLnyTev9/f116dKlwkwBFAtvvfWWLly4oI4dO8rb29ve4QAAAAAAUKIUKgHl4+OjkydP3rT+xIkTvE0KpcLnn39ul3md/KrYZd6yjO8cAAAAAGyvUAmotm3bau3atXrsscdUv359q7pffvlFH3744R0d/AzgTxV6vWDvEMoks8kkg0OhdigDAAAAAP6iUAmokSNH6uuvv9ZTTz2ljh076r777pMk/fbbb/ryyy/l6+urkSNH2iRQoKzJyMhQamqq3N3d7R1KmUPyCQAAAABsq1AJqMqVK+vjjz/WzJkztXPnTn3xxReSJE9PTz322GMaNWrULc+IAnBrhXhJJQAAAAAAxUahElDSnweNv/322zKbzUpMTJQk+fr6ymAwFDo4oKzj3xEAAAAAoDQodAIqh8FgUMWKFW01HFDmubi4sP2uGOOcKAAAAADIvwIloObNmyeDwaChQ4fKwcFB8+bNu20fg8GgyMjIOw4QKMsS/rlAWZfO2TsM3MCpcnVV7DfU3mEAAAAAQIlxRwmowYMHy8XFhQQUUMSyLp1T5rnT9g4DAAAAAIBCKVAC6tdff73lNcquqKgoHTlyRFu2bCnUOBs2bNCECRP07bffytfX10bRFV5cXJw++eQTPf300xysDwAAAABAAXGACZAP586d07x583T58mV7hwIAAAAAQIlDAgoAAAAAAABFqlAJKLPZrLVr16pXr15q2bKlAgICcn3q169vq1hRAuzZs0c9evRQYGCgnnjiCR08eNCqfsOGDXrssccUGBiotm3batasWcrOzr7peHFxcTIajYqNjdWkSZP04IMPKjg4WO+//74kaevWrerWrZuaNm2qYcOG6fr161b9z507pxEjRqhZs2Zq3Lixnn/+eR0/ftyqTceOHRUdHa1//vOf6tChg5o1a6aIiAglJiZKkvbv36/+/ftLknr16iWj0Sij0Wjpf/36db3++utq06aNGjZsqCeeeELffPPNHX+HAAAAAACUNgU6A+pG77zzjpYvX66AgAD97W9/U/ny5W0VF0qg+Ph4TZkyRcOHD5e3t7eWLFmi559/Xp9//rkqVqyo999/X9OnT9dzzz2nqKgonThxwpKAGjNmzC3Hnj17trp27ao5c+Zox44deuutt5SYmKjvv/9eY8eOVXJyst544w1Nnz5dU6dOlSQlJycrLCxMDg4OmjJlilxdXbVgwQI9++yz2rRpk6pWrWoZf9euXTp9+rQmTZqkK1euaNq0aZo6dapmzZqlBg0aaNKkSYqOjta0adN07733WvplZGRo4MCBSkhI0EsvvaTKlStr06ZNCg8P14YNG6wSVSg90rOzlZycLElycnKSm5ubnSMCAAAAgOKtUAmo2NhYS1IAuHr1qmbPnq3g4GBJUosWLdS+fXstX75c4eHhmjt3rl544QW9/PLLkqTWrVvL2dlZb731lp5//nlVqFDhpmM3btxYr7zyiiSpVatW+vzzz7V69Wrt2rXL0u/48eP66KOPLAmoDRs26Pz589q6davq1q0rSWrevLk6dOigFStWKCoqyjK+2WzWggUL5OLiIunPlVOLFi2SyWSSp6en7rvvPklSvXr1FBgYaOm3efNm/frrr9q4caOlTdu2bXX69Gn94x//4N9GKfTPuGv64uB5mbf1lCQ5ODgoNDSUt30CAAAAwC0UagteWlqaQkJCbBULSjgvLy9L8innOiQkRD///LMOHDiglJQUde/eXVlZWZZPSEiI0tLS9Ntvv91y7NatW1v+dnR01D333KMHHnjAKmlVu3ZtXb9+XX/88Yck6ccff1S9evUsySdJ8vHxUUhIiP71r39Zjd+8eXNL8kmS6tatq8zMTCUkJNwyrr179+r+++9X7dq1c93X4cOHb9kXJdOO3/+Q+S/XJpNJsbGx9goHAAAAAEqEQq2ACg4O1uHDh9W7d29bxYMSzNfXN1dZxYoVdeLECV25ckWS9Pjjj+fZ98KFC7cc28vLy+ra2dlZHh4eucokKT09XeXKldP169dVqVKlPGO6MeHl7e1tdZ2TjEpPT79lXFeuXNHRo0fVoEGDXHWOjo637IuSqXOlcvriL0monBVQAAAAAICbK1QCavLkyXrhhRe0cOFC9e7d+5ZbqFD65Rza/VcJCQny8/OznA82b948ValSJVe7GjVq2Dye8uXL6+TJk3nGZKvzysqXLy+j0ag333zTJuOh+OtXo7z6PthAvkNflcQZUAAAAACQH4VKQHXv3l1ms1lz5szRnDlz5OrqKgcH6119BoMh13YnlE5JSUn69ttvLdvwkpKStG/fPvXr109NmjSRu7u7Ll68qC5dutyVeJo1a6bt27frv//9r+Xg8GvXrmnfvn0FXrX319VVfxUSEqI9e/bI399flStXtk3gKPZcHR3l6elp7zAAAAAAoMQoVAKqW7duMhgMtooFJZyPj49effVVjRgxQl5eXlqyZInMZrOee+45eXt7a8SIEZo+fbouXryoFi1ayNHRUWfPntXOnTsVExMjd3d3m8bzxBNPWA5Af+mllyxvwXNyctJzzz1XoLFq164tR0dHffzxx3JycpKjo6MCAwMVGhqqtWvXqn///ho0aJBq166tpKQkHT16VJmZmRo9erRN7wkAAAAAgJKoUAmot956y1ZxoBTw8/PTmDFj9M477+jMmTOqV6+eli5dajmHadCgQapcubLef/99rV69Wk5OTqpZs6YeeughywojW/L09NSqVav01ltv6bXXXpPJZFLTpk21evVqVa1atUBj+fr6atKkSXrvvfe0adMmZWVl6fjx43JxcdHKlSsVExOjhQsXKj4+Xj4+Pqpfv76eeeYZm98TAAAAAAAlkcFsNptv3wzA3ZTzBj3/L9Yp89xpO0eDGzlXr6XKL79h7zDyLSUlRceOHVNAQECuw/uBguJ5gi3xPMGWeJ5gKzxLsKXS/jzl/HYNDAy8bdtCrYDK76vHeUMUAAAAAABA2VWoBFRUVNRN6/56NhQJKODOOFWubu8QkAf+uwAAAABAwRQqAbVz585cZSaTSXFxcVqzZo3Onz+vt99+uzBTAGVaxX5D7R0CbsJsMslww1s/AQAAAAB5K9Svp+rVq+f63HPPPQoODtbcuXPl6+ur1atX2ypWoEzJyMhQamqqvcPATZB8AgAAAID8K9JfUA899JA+/fTTopwCKNV4RwAAAAAAoDQo0gTU2bNnlZGRUZRTAAAAAAAAoJgr1BlQP/zwQ57l169f148//qhVq1apU6dOhZkCKNP+epg/AAAAAAAlVaESUGFhYXn+QDabzXJ0dFT37t01ceLEwkwBlFkuLi5yd3e3dxglGgeFAwAAAEDxUKgE1MqVK3OVGQwGeXt7q3r16vL09CzM8ECZF79srjIvnrN3GCWSc5Xq8hs0wt5hAAAAAABUyARUixYtbBUHgDxkXjynjLMn7R0GAAAAAACFUuAE1Isvvlig9gaDQQsWLCjoNMBdk5aWpp49e+qRRx7RyJEj7R0OAAAAAAClToETULt375arq6sqVaqUr1fEc4hy2REVFaUjR45oy5Yt9g7FSlxcnDp16qQ5c+aoe/fuuepnzpypWrVqafjw4XaIDgAAAACA0q/ACajKlSvr0qVLqlChgnr06KFHH31Ufn5+RREbSpiIiAilpKTYO4xc/P39tW7dOtWuXTtX3ffff6+vvvpK69evlwOHVQMAAAAAUCQK/It7z549WrlyperXr68FCxbooYce0oABA/Txxx8rOTm5KGJECVGzZk098MADhRrDbDYrIyPDRhH9ycXFRY0bN5aPj0+uuhYtWmj79u3y9va26ZwAAAAAAOB/7mjJR4sWLRQdHa1vvvlGc+bMkY+Pj6ZOnaqQkBANGzZM27Zts3kSAcVfVFSUevToYbn+8ccfFRoaqsDAQD322GPau3evevbsqaioqFx99uzZo7/97W8KDAzUrl27lJKSoujoaHXr1k1BQUHq2LGjJk2apKSkJKs5O3bsqOjoaL333ntq27atgoKCNHToUF2+fNnSJi4uTkajUdu2bbOUGY1GLV261Gqs5cuXy2g0Wq73798vo9GovXv3avTo0WrSpIk6dOigJUuWWPU7cOCAXnzxRbVp00aNGzdWz549FRsbW6jvEreXbjIrJdt0088fmVlKTk6+7SctLc3etwIAAAAApV6h3oLn7Oyszp07q3Pnzvrjjz/0xRdfaO3atRo1apSGDRumyMhIW8WJEuby5csaPHiw6tevr9mzZyspKUmvv/66kpKSFBAQkKvtG2+8oaFDh6pq1aqqVq2a0tLSlJ2drVGjRsnX11cXLlzQwoULFRERoVWrVln1/+KLL1S9enW9/vrrun79umbMmKHhw4dr3bp1NrmXyZMnq2fPnpo/f7527NihGTNmyGg0ql27dpKk8+fPq2nTpurbt69cXFz0008/aeLEiTKbzXr88cdtEgOsrbn8h3ZeTdMtT6E7cUX6qudtx3JwcFBoaCj/ewUAAAAARahQCagcGRkZ+uabb7Rz504dPXpUrq6uql69ui2GRgm1fPlyOTo6atGiRfL09JQk1ahRQ/369cvV9tq1a1qyZImCgoKsyqdMmWL5OysrSzVq1NAzzzyjkydPqk6dOpa6P/74Q0uWLJGXl5ckqUqVKhowYIC+/vprtW3bttD30rVrV8sB5cHBwdq9e7e2b99uSUA9+uijlrZms1nNmzfXpUuXtG7dOhJQRWTX7ZJPBWAymRQbG0sCCgAAAACK0B0noEwmk/bu3autW7dqx44dSktLU3BwsKZOnaouXbrIw8PDlnGihDl8+LBatmxpST5J0oMPPpjnOUw+Pj65kk+SFBsbq+XLl+v06dNWh5ufOnXKKgHVsmVLS/JJ+jNJ5OPjo59//tkmCag2bdpY/jYYDKpbt64uXrxoKbt27ZpiYmK0c+dOXbp0SdnZ2Zb7QtHo6ON2+xVQ+ZSzAgoAAAAAUHQKnID66aeftGXLFm3btk1Xr15VUFCQRo0apYcffli+vr5FESNKoPj4+DzfOpfXM1KpUqVcZV988YXGjx+v3r17a9SoUfLx8VF8fLwiIyOVnp5u1bZixYp5zhMfH3/nN/AXf01uSX9uPf3rWVRRUVE6cOCAIiMjdd9998nT01Nr1qzRZ599ZpP5kVtf/3J6opKHss03T0E5V6+lqqOn3LQ+h5OTk9zc3GwZHgAAAADgBgVOQD3zzDNyc3NTu3bt1KNHD8tWuwsXLujChQt59mnQoEHhokSJ4+fnp8TExFzleZUZDIZcZdu2bVNAQICio6MtZd9//32ecyUkJOQ5j5+f303jc3FxUWZmplXZ9evXb9r+ZtLT07V7925FRUUpLCzMUv7BBx8UeCwUjKuDQVLuZyeHi7OT1Qo8AAAAAID93NEWvLS0NH3++ef64osvbtnObDbLYDDo2LFjdxQcSq7AwECtW7dOycnJliTAjz/+qKtXr+arf1pampydna3KNm/enGfb/fv3KykpybJS6dtvv7WszruZKlWq6MSJE1Zl+/bty1dsf5WRkSGTyWQVa3Jysnbt2lXgsQAAAAAAKK0KnICaNm1aUcSBUmbAgAFas2aNwsPD9fzzz+v69euaP3++KlSokOeKpxuFhIQoOjpa8+fPV5MmTbRnzx59++23ebYtV66cBg8erMGDByspKUkzZsxQo0aNbnn+U7du3bRixQoFBgaqTp062rRpky5dulTg+/Ty8lJgYKCWLFkiX19fOTk5afHixfL09MxztRcAAAAAAGVRgRNQvNUL+eHv768lS5bojTfe0IgRI1SzZk29+uqrio6OznWmUl769OmjuLg4rV69WkuXLlWbNm00c+ZMPf3007nadunSRVWqVNHkyZN1/fp1hYSEWL1BLy8RERFKSEjQ/PnzZTAY1Lt3b/Xv319vvfVWge915syZmjRpkqKiouTj46OwsDClpKRo2bJlBR4LAAAAAIDSyGA23+IUX8CGTp06pYcfflh///vfbZbI7Nixox566CFNmjTJJuMVF4cPH5YkVdy8WhlnT9o5mpLJ5Z46qvbK2/YOo1hISUnRsWPHFBAQwBtKUWg8T7AlnifYEs8TbIVnCbZU2p+nnN+ugYGBt217R2dAAfkxc+ZMGY1G+fv76+zZs1q0aJH8/PzUtWtXe4dWYjhXqW7vEEosvjsAAAAAKD5IQKHIZGZmasaMGfr999/l5uamFi1aaNy4cSpXrpy9Qysx/AaNsHcIJZrZZJLBwcHeYQAAAABAmUcCCkUmKipKUVFRRTpHaX7bXEZGhlJTU+Xu7m7vUEoskk8AAAAAUDzw6wwoxjiiDQAAAABQGpCAAgAAAAAAQJEiAQUUYwaDwd4hAAAAAABQaCSggGLKxcWlzJz/ZDaZ7B0CAAAAAKAIcQg5UIxdWviuMs6ftXcYRcql2j2q/OLL9g4DAAAAAFCESEABxVjG+bPKOP1fe4cBAAAAAEChsAUPpUJUVJR69Ohh7zAAAAAAAEAeSEABAAAAAACgSJGAAm4jLS2tQOUAAAAAAMAaCSiUKnv27FGPHj0UGBioJ554QgcPHrTUxcbGqm/fvmrRooWaN2+usLAwHTp0yKp/TEyMmjRpokOHDql3794KDAzUP//5T23YsEFGo1EHDhzQwIED1bhxY73zzjuSpGXLlunJJ59Us2bNFBwcrPDwcJ08efJu3jYAAAAAAMUah5Cj1IiPj9eUKVM0fPhweXt7a8mSJXr++ef1+eefq2LFioqLi1NoaKhq1qypjIwMbd26Vf369dOmTZtUp04dyziZmZkaPXq0BgwYoFGjRsnHx0dHjx6VJI0ePVq9e/dWeHi43N3dJUkXL17Us88+q2rVqik5OVlr165Vnz59tH37dvn4+NjjqygR0k1mZUvKzMpWcnKypdzJyUlubm72CwwAAAAAYHMkoFBqXL16VbNnz1ZwcLAkqUWLFmrfvr2WL1+u0aNHa9iwYZa2JpNJrVu31qFDh/TJJ5/o5ZdfttRlZmZq1KhReuSRRyxlOQmoPn36aMiQIVbzvvLKK5a/s7Oz1bp1awUHB2v79u3q3bt3kdxrSbfuarp2JWfKLEnnf5F69rTUOTg4KDQ0VJGRkXaLDwAAAABgWySgUGp4eXlZkk851yEhIfr5558lSSdOnNC7776rAwcOKCEhwdLu1KlTucZq3759nnM89NBDucoOHjyoOXPm6OjRo7p69eotx8WfvsxJPuXBZDIpNjaWBBQAAAAAlCIkoFBq+Pr65iqrWLGiTpw4oeTkZA0aNEi+vr6KiopStWrV5OrqqokTJyo9Pd2qj7u7u8qVK5fnHJUqVbK6Pn/+vAYNGqSGDRtqypQp8vf3l7Ozs8LDw3ONi//p4On8vxVQN8hZAQUAAAAAKD1IQKHUSExMzFWWkJAgPz8/HTx4UBcvXtSiRYv0wAMPWOqTkpJUpUoVqz4GgyHfc3799ddKSUnRvHnz5O3tLUnKysrStWvX7vAuyobePq4K9XZRtiTne2qrxit/t9RxBhQAAAAAlD68BQ+lRlJSkr799lur63379ikoKEhpaWmSJGdnZ0v9Tz/9pHPnzhVqzrS0NBkMBjk5/S+X+9lnnykrK6tQ45YFrg4GeTgYVM7JUZ6enpYPyScAAAAAKH1YAYVSw8fHR6+++qpGjBghLy8vLVmyRGazWc8995wkycPDQ1OmTNGQIUN06dIlxcTEqHLlyoWas1WrVpKkCRMmqE+fPvrtt9/0/vvvW1ZDAQAAAAAAVkChFPHz89OkSZO0ePFijRw5Uunp6Vq6dKkqVaqkSpUqac6cOUpMTFRERIRWrFihKVOmqFatWoWa02g0atq0afrll18UHh6urVu3as6cOfLy8rLRXQEAAAAAUPIZzGbzzV5GBcBODh8+LEnyWb9MGaf/a+doipZLrXt1T/Qse4dRqqWkpOjYsWMKCAiQh4eHvcNBCcfzBFvieYIt8TzBVniWYEul/XnK+e0aGBh427asgAIAAAAAAECR4gwooBhzqXaPvUMocmXhHgEAAACgrCMBBRRjlV982d4h3BVmk0kGBxZkAgAAAEBpxS8+oJjKyMhQamqqvcO4K0g+AQAAAEDpxq8+oBjjHQEAAAAAgNKABBQAAAAAAACKFAkooBgzGAz2DgEAAAAAgEIjAQUUUy4uLnJ3d7d3GAVmNmXbOwQAAAAAQDHDW/CAYuz8nLeVce6svcPIN5fq96jayPH2DgMAAAAAUMyQgAKKsYxzZ5V+8j/2DgMAAAAAgEJhC14ZFhUVpR49ekiSNmzYIKPRqMTExHz3uZs6duyo6Ohoy/WOHTv0z3/+867HAQAAAAAACo4VUGVYRESEUlJSiryPLcybN0/e3t6W6x07dujIkSPq16/fXY8FAAAAAAAUDAmoMqxmzZpF0ictLU1ubm53EtJN1a9f36bjAQAAAACAu4cteGVYXtvpzpw5o/79+ysoKEgdO3bURx99dMs+OVv3Dhw4oIEDB6px48Z65513JEnLli3Tk08+qWbNmik4OFjh4eE6efJknuPt2bNHPXr0UGBgoJ544gkdPHjQqt1ft+BFRUXpk08+0W+//Saj0Sij0aioqChJ0oEDB/Tiiy+qTZs2aty4sXr27KnY2Firsfbv3y+j0ai9e/dq9OjRatKkiTp06KAlS5bk+o7Wrl2rDh06KCgoSAMHDtTRo0dlNBq1YcMGS5vY2Fj17dtXLVq0UPPmzRUWFqZDhw7l478AAAAAAABlAyugYOXll19W7969NXjwYH366ad69dVX5e/vr3bt2t2y3+jRo9W7d2+Fh4fL3d1dknTx4kU9++yzqlatmpKTk7V27Vr16dNH27dvl4+Pj6VvfHy8pkyZouHDh8vb21tLlizR888/r88//1wVK1bMNVdERIQSExP13//+VzNmzJAk+fr6SpLOnz+vpk2bqm/fvnJxcdFPP/2kiRMnymw26/HHH7caZ/LkyerZs6fmz5+vHTt2aMaMGTIajZZ73blzpyZPnqynnnpK3bp107Fjx/TSSy/liicuLk6hoaGqWbOmMjIytHXrVvXr10+bNm1SnTp18v3dF1cZZrOyzPlrm52VreTk5HyP7eTkZPPVcgAAAACA4ocEFKz07NlT4eHhkqS2bdvq7Nmzmj9//m0TUH369NGQIUOsyl555RXL39nZ2WrdurWCg4O1fft29e7d21J39epVzZ49W8HBwZKkFi1aqH379lq+fLlGjx6da66aNWvK19dX58+fV+PGja3qHn30UcvfZrNZzZs316VLl7Ru3bpcCaiuXbtq+PDhkqTg4GDt3r1b27dvt9zrggUL1KpVK73xxhuW7yMrK0tz5syxGmfYsGGWv00mk1q3bq1Dhw7pk08+0csvv3zL7624W/9Htnanm5TP/JN09d9Sz575Ht/BwUGhoaGKjIy8o/gAAAAAACUDCShY6dKli9V1165d9c477yg7O1uOjo437ffQQw/lKjt48KDmzJmjo0eP6urVq5byU6dOWbXz8vKyJJ9yrkNCQvTzzz8XOP5r164pJiZGO3fu1KVLl5SdnS1JViuucrRp08byt8FgUN26dXXx4kVJfybMjh07pnHjxln16dSpU64E1IkTJ/Tuu+/qwIEDSkhIuOl9lkR7CpJ8ugMmk0mxsbEkoAAAAACglCMBBSs3bnmrVKmSMjMzdeXKFVWqVOmm/W6sO3/+vAYNGqSGDRtqypQp8vf3l7Ozs8LDw5Wenm7VNmf73I1xnDhxosDxR0VF6cCBA4qMjNR9990nT09PrVmzRp999lmutl5eXlbXzs7OSkpKkiQlJiYqKysrV2w3fj/JyckaNGiQfH19FRUVpWrVqsnV1VUTJ07MdZ8lUXtXh4KtgCqgnBVQAAAAAIDSjQQUrCQkJKhy5cqW699//13Ozs6qUKFCgcb5+uuvlZKSonnz5snb21uSlJWVpWvXruVqm5iYmGccfn5+BZozPT1du3fvVlRUlMLCwizlH3zwQYHGkf5Mijk5OeWK7a8rnKQ/V3ldvHhRixYt0gMPPGApT0pKUpUqVQo8b3HzVDlH9fRwyPcZUK617lXN6On5Hp8zoAAAAACgbOAteLDyxRdfWF1//vnnatCgwS233+UlLS1NBoNBTk7/y3F+9tlnysrKytU2KSlJ3377rdX1vn37FBQUdNPxnZ2dc60wysjIkMlkkrOzs6UsOTlZu3btKlDskuTo6KiAgADt3LnTqnzHjh1W12lpaZZ4cvz00086d+5cgecsrlwMBnk45PPj5ChPT898f0g+AQAAAEDZwAooWNm4caPc3NxUv359ffrpp/rhhx+0ePHiAo/TqlUrSdKECRPUp08f/fbbb3r//fctq6H+ysfHR6+++qpGjBghLy8vLVmyRGazWc8999xNx69bt64+/vhjbdmyRbVq1VKFChVUo0YNBQYGasmSJZYVTIsXL5anp2eeq6xuZ+jQoYqIiNDEiRPVvXt3HT16VLGxsZL+3DomSY0bN5aHh4emTJmiIUOG6NKlS4qJibFaRQYAAAAAQFnHCihYmTlzpr755htFRkbqu+++09SpU9W+ffsCj2M0GjVt2jT98ssvCg8P19atWzVnzpxc5y5Jkp+fnyZNmqTFixdr5MiRSk9P19KlS2955lSvXr3UvXt3TZ06Vb169dK8efMs8desWVNRUVF644031K1btzs+Y6hTp056/fXX9c033ygiIkJff/21Xn/9dUmSp6enpD/PvpozZ44SExMVERGhFStWaMqUKapVq9YdzQkAAAAAQGlkMJvNRfmSK+CWoqKidOTIEW3ZssXeoeTL+vXrNXHiRO3cuVM1atQosnkOHz4sSfJatUjpJ/9TZPPYmmud+1T7nXn2DgM3SElJ0bFjxxQQECAPDw97h4MSjucJtsTzBFvieYKt8CzBlkr785Tz2zUwMPC2bdmCB9zE1atXNW/ePLVq1UrlypXT4cOHtXDhQnXq1KlIk08AAAAAAJQ2JKCAm3ByctLZs2e1ZcsWJSUlqUKFCurZs6fGjBlz12JwqX7PXZvLFkpavAAAAACAu4MEFOzqrbfesncIN+Xp6alFixbZNYZqI8fbdf47YTZly+BQsLcmAgAAAABKNw4hB4qpjIwMpaam2juMAiP5BAAAAAC4EQkooBjjHQEAAAAAgNKABBQAAAAAAACKFAkooBgzGAz2DgEAAAAAgEIjAQUUUy4uLnJ3d7d3GHkym7LtHQIAAAAAoAThLXhAMXZm+ptKP3vG3mFYcb2npmqOfdXeYQAAAAAAShASUIAN/f3vf9f+/fu1du1am6xeSj97RqknfrNBZAAAAAAA2A9b8FAsRUVFqUePHpKkY8eOKSYmRqmpqUU23/79+2U0GnX48GFLmdFo1NKlS/M9xg8//KBNmzZp3rx5xXbrHAAAAAAA9sAKKBRLERERSklJkfRnAmrevHnq169fkSV2GjRooHXr1qlu3bp31D8lJUUTJ07UzJkzdc8999g4OgAAAAAASjYSUCiWataseVfn8/T0VOPGje+4v4eHh7Zv3267gAAAAAAAKEXYgodiKWcL3oYNGzRhwgRJUnBwsIxGozp27ChJunz5siZMmKBOnTqpUaNG6tq1q959911lZGRYjZWUlKQxY8aoSZMmCg4O1rvvvqtly5bJaDRa2uS1BU+SsrOz9c4776hVq1Zq0qSJoqKilJycbKlPSUlRdHS0unXrpqCgIHXs2FGTJk1SUlJSUX01AAAAAACUOKyAQrH20EMPaejQoVqwYIHee+89eXl5ycXFRZJ05coV+fj4aMKECfL29tapU6cUExOj+Ph4TZs2zTLGhAkT9N1332ns2LGqXr26PvzwQ/3yyy/5mn/VqlVq0KCB3n77bcXFxWnGjBlKT0/XrFmzJEmpqanKyMjQyJEjValSJV24cEELFy5URESEVq1aZfsv5C7KMEvZeZSbs7OtknA34+TkJDc3N9sHBgAAAAAocUhAoVjz9fW1bMdr0KCBfH19LXVGo1Hjx4+3XDdt2lTu7u6KiorSpEmT5O7urv/85z/64osv9Pbbbys0NFSS1LZtWz388MP5mt/FxUXz58+Xo6OjJMnV1VUTJ07UsGHDVLduXVWsWFFvvPGGVZ+aNWuqT58+OnnypOrUqVOY27ebTzKlr7Mlswy5K389KfXsedsxHBwcFBoaqsjIyCKIEAAAAABQkrAFDyWW2WzW8uXL9cgjj6hRo0Zq0KCBxowZo6ysLJ09e1aSLFvqOnXqZOnn4OCgDh065GuODh06WJJPktS9e3eZzWarrXrbtm1T3759FRISosDAQIWFhUmSTp06VdhbtJtvbpZ8KgCTyaTY2FjbBAQAAAAAKNFYAYUSa8WKFXr77bf1wgsvqGXLlvL29tbhw4cVHR2t9PR0SVJ8fLycnZ3l5eVl1fevK6lupWLFilbXnp6ecnV11eXLlyVJu3bt0siRI9W/f3+NGjVKFSpU0MWLF/XCCy9YYiiJ2jhKX2ebC5WEylkBBQAAAAAACSiUWNu2bVPHjh01evRoS9mJEyes2vj5+SkzM1NJSUlWSajExMR8zZGQkGB1nZycrPT0dPn7+0uStm7dqgYNGujVV1+9aZ+S6HFn6VEnKVvmXHVude5V3bdn33YMzoACAAAAAORgCx6KPWdnZ0nK9Xa7tLQ0S12OzZs3W103bNhQkrRz505Lmclk0pdffpmvub/88ktlZ//vKO5t27bJYDAoMDBQ0p+HkDs4WP8z2rRpU77GLu5cDJJ7Hh8PR0d5enre9kPyCQAAAACQgxVQKPbq1q0rSfrnP/+pzp07y83NTUajUSEhIVq5cqVWr16t2rVra9OmTTp9+rRV33r16qlLly564403lJqaqmrVqunDDz9UWlqaDIbbby/LyMhQZGSk+vbta3kLXrdu3SwxtW7dWtHR0YqJiVGzZs20e/duff/997b/EgAAAAAAKMFIQKHYq1+/voYPH67169frvffeU9WqVbVr1y5FRkbqypUrmjt3riSpW7dumjhxol588UWr/n//+98VHR2td955Ry4uLnr88cdVr149/fOf/7zt3GFhYUpMTNS4ceOUkZGhLl26aNKkSZb6Pn36KC4uTh988IHef/99tWnTRjNnztTTTz9t2y8BAAAAAIASzGA2m3Mf8gKUcv369ZODg4NWrVpl71DylPOWPbcl85R64jc7R2PNvW491Zu7yN5hoABSUlJ07NgxBQQEyMPDw97hoITjeYIt8TzBlnieYCs8S7Cl0v485fx2zTmm5lZYAYVSb/v27bpw4YLuv/9+paamasuWLfrxxx81f/58e4cGAAAAAECZQAIKpZ6Hh4c2btyoU6dOKTMzU/fee6+mT5+uzp072zu023K9p6a9Q8ilOMYEAAAAACjeSECh1Gvbtq3atm1r7zDuSM2xr9o7hDyZTdkyODjaOwwAAAAAQAnhcPsmAOwhIyNDqamp9g4jTySfAAAAAAAFQQIKKMZ4RwAAAAAAoDQgAQUAAAAAAIAiRQIKKMYMBoO9QwAAAAAAoNBIQAHFlIuLi9zd3e0dxh0zZ2fbOwQAAAAAQDHBW/CAYuw/f5+q1DOn7R1GgbnXrKX7XnnN3mEAAAAAAIoJElBAMZZ65rRSfvu3vcMAAAAAAKBQ2IKHAouKilKPHj0kSceOHVNMTIxSU1PtHJW0YcMGbd68OVd5WFiYwsPD7RARAAAAAACQWAGFOxAREaGUlBRJfyag5s2bp379+tn9vKJPPvlEHh4eeuyxx6zKJ0+eLAcHcq0AAAAAANgLCSgUWM2aNe0dQoHcd9999g4BAAAAAIAyjWUhKLCcLXgbNmzQhAkTJEnBwcEyGo3q2LGjJOny5cuaMGGCOnXqpEaNGqlr16569913lZGRYTWW0WjU4sWL9c4776hVq1Zq0qSJoqKilJycbNXu+vXrev3119WmTRs1bNhQTzzxhL755htLfVhYmL7//nvt3r1bRqNRRqNRMTExlrq/bsGLiYlRkyZNdPz4cfXt21dBQUHq0aOHvv76a6s5MzIy9MYbb6hFixZ68MEHNWnSJG3evFlGo1FxcXGWdjNmzNBjjz2mJk2aqG3btnr55Zd1+fJlG3zTAAAAAACUDqyAwh176KGHNHToUC1YsEDvvfeevLy85OLiIkm6cuWKfHx8NGHCBHl7e+vUqVOKiYlRfHy8pk2bZjXOqlWr1KBBA7399tuKi4vTjBkzlJ6erlmzZkn6MxE0cOBAJSQk6KWXXlLlypW1adMmhYeHa8OGDTIajZo8ebLGjh0rNzc3jR8/XpJUpUqVm8aemZmpMWPGqH///oqIiNCSJUs0YsQI7dq1SxUqVJAkzZw5U2vXrtWIESMUEBCg7du3a+bMmbnGSkhIUHh4uPz9/ZWYmKj3339fYWFh2rp1q5ycSu4/sQxJ2XfaOTs7VxKxIJycnOTm5nbH/QEAAAAAxUvJ/XUMu/P19bVsx2vQoIF8fX0tdUaj0ZIIkqSmTZvK3d1dUVFRmjRpktV5US4uLpo/f74cHR0lSa6urpo4caKGDRumunXravPmzfr111+1ceNGy3a6tm3b6vTp0/rHP/6hOXPm6L777pOnp6c8PDzUuHHj28aek4Bq3769JKlOnTrq1KmTvvrqK/Xs2VNXr17VmjVrNHToUA0ZMsQy54ABA3ThwgWrsf6aUMvOzlaTJk3Url07fffdd2rTpk1BvtJiY4sc9K0cZJbhzgb47xmpZ887nt/BwUGhoaGKjIy84zEAAAAAAMUHW/BQJMxms5YvX65HHnlEjRo1UoMGDTRmzBhlZWXp7NmzVm07dOhgST5JUvfu3WU2m3X48GFJ0t69e3X//ferdu3aysrKsnxCQkIsbQrKwcFBwcHBlusaNWrIzc1Nly5dkiT9+9//Vnp6ujp16mTV78ZrSdqzZ4/69OmjZs2aqX79+mrXrp0k6dSpU3cUW3HwXWGSTzZgMpkUGxtrt/kBAAAAALbFCigUiRUrVujtt9/WCy+8oJYtW8rb21uHDx9WdHS00tPTrdpWrFjR6trT01Ourq6Wc5SuXLmio0ePqkGDBrnm+WviqiDc3Nws2wVzODs7W2KLj4+XJMt2vJvFeujQIUVERKhTp04aPHiwKlasKIPBoKeffjrXfZYkrWQq3AqoQspZAQUAAAAAKB1IQKFIbNu2TR07dtTo0aMtZSdOnMizbUJCgtV1cnKy0tPT5e/vL0kqX768jEaj3nzzzaIL+AZ+fn6S/kx+Va5c+aax7tixQ56enpo9e7YcHP5cUHju3Lm7FmdR6SGTusp0x2dAud9bVw1mxdzx/JwBBQAAAAClCwkoFIqzs7Mk5Xq7XVpamqUux+bNm/Mc48svv9SECRMsq5m2bdsmg8GgwMBASVJISIj27Nkjf39/q2RQXrHYatVRvXr15Orqqh07duiBBx6wlO/YscOqXc59Ggz/Wyl0s/ssaVxu3+SmPBwd5enpabNYAAAAAAAlGwkoFErdunUlSf/85z/VuXNnubm5yWg0KiQkRCtXrtTq1atVu3Ztbdq0SadPn85zjIyMDEVGRqpv376Wt+B169bNMnZoaKjWrl2r/v37a9CgQapdu7aSkpJ09OhRZWZmWlZZ3XvvvYqNjdWuXbvk5+d324TVrVSoUEF9+/bVwoUL5erqqoCAAG3bts1yrlPOaqfWrVtrxYoVmjp1qrp06aIDBw5o48aNdzQnAAAAAAClFQkoFEr9+vU1fPhwrV+/Xu+9956qVq2qXbt2KTIyUleuXNHcuXMlSd26ddPEiRP14osv5hojLCxMiYmJGjdunDIyMtSlSxdNmjTJUu/i4qKVK1cqJiZGCxcuVHx8vHx8fFS/fn0988wzlnaDBw/WmTNnNH78eF2/fl3Dhg3T8OHD7/jeRo8eraysLC1evFgmk0ldunTRkCFDFB0dLS8vL0lS+/btNWbMGK1evVobNmxQ06ZNtWjRInXr1u2O5wUAAAAAoLQxmM1ms72DQNllNBo1btw4Pf/88/YOJV/Gjh2rf/3rX9q1a1eRzmN5u9/8OUr57d9FOldR8Kh3vwIXvmfvMPD/UlJSdOzYMQUEBMjDw8Pe4aCE43mCLfE8wZZ4nmArPEuwpdL+POX8ds05QudWWAEF3MT333+vn376SQ0aNJDJZNLu3bu1efNmRUVF2Ts0AAAAAABKFBJQwE14eHho9+7dWrJkidLT01W9enVFRUVpwIABdy0G95q17tpctlRS4wYAAAAAFA0SULCr48eP2zuEm2rYsKHWrl1r1xjue+U1u85fGObsbBn+/82GAAAAAICyzcHeAQDIW0ZGhlJTU+0dxh0j+QQAAAAAyEECCijGeEcAAAAAAKA0IAEFFGMGg8HeIQAAAAAAUGgkoIBiysXFRe7u7vYOw6bM2dn2DgEAAAAAYAccQg4UY8den6yUU6fsHYZNeNSurYDXp9g7DAAAAACAHZCAAoqxlFOnlPzvf9s7DAAAAAAACoUteEAROXTokIKCgvTtt9/aOxQAAAAAAOyKBBRKpaioKPXo0cNu8//xxx8aM2aMxo0bp+DgYLvFAQAAAABAccAWPJRKERERSklJsdv8U6dOVatWrdSvXz+7xQAAAAAAQHFBAgqlUs2aNe06/1tvvWXX+QEAAAAAKE7YgodS6cYteD/++KNCQ0MVGBioxx57THv37lXPnj0VFRVlaRMWFqbw8HCrcY4dOyaj0aj9+/dbypYtW6Ynn3xSzZo1U3BwsMLDw3Xy5Mlbzg8AAAAAQFnGCiiUepcvX9bgwYNVv359zZ49W0lJSXr99deVlJSkgICAAo938eJFPfvss6pWrZqSk5O1du1a9enTR9u3b5ePj4/tb6AEyZSUfZM6R5NJycnJt+zv5OQkNzc3m8cFAAAAALAvElAo9ZYvXy5HR0ctWrRInp6ekqQaNWrc8flMr7zyiuXv7OxstW7dWsHBwdq+fbt69+5tk5hLou3Ozvre0UlmgyHvBufOSz173nIMBwcHhYaGKjIysggiBAAAAADYC1vwUOodPnxYLVu2tCSfJOnBBx+849VKBw8e1MCBA9WyZUvVr19fQUFBSklJ0alTp2wTcAl1y+RTPplMJsXGxtomIAAAAABAsUECCqVefHy8fH19c5XnVXY758+f16BBg5Sdna0pU6ZozZo1+uijj1SxYkWlp6fbItwSq0V2lgxmc6HGyFkBBQAAAAAoXdiCh1LPz89PiYmJucpvLHNxcVFmZqZV2bVr16yuv/76a6WkpGjevHny9vaWJGVlZeVqVxZ1y8xUx8zMm54BVe6++9T4HwtuOQZnQAEAAABA6UQCCqVeYGCg1q1bp+TkZMs2vB9//FFXr161alelShXt27dPZrNZhv/fSrZ3716rNmlpaTIYDHJy+t8/nc8++0xZWVlFexMlhPP/f/Li7uBgtQ0SAAAAAFB2sAUPpd6AAQNkMpkUHh6uXbt2KTY2VhMmTFCFChUsiSZJ6tatm86fP6+pU6dq3759mjdvnrZv3241VqtWrSRJEyZM0LfffquVK1fq3XfftayGAgAAAAAAuZGAQqnn7++vJUuW6I8//tCIESO0ePFivfrqq/Lw8JCXl5elXbt27TR27Fjt2rVLkZGR+u233zRlyhSrsYxGo6ZNm6ZffvlF4eHh2rp1q+bMmWM1DgAAAAAAsMYWPJRKb731ltX1gw8+aPV2tVOnTunChQsKCAiwavfCCy/ohRdesCo7fvy41XVoaGiug7J37dp1y/kBAAAAACjLSEChTJg5c6aMRqP8/f119uxZLVq0SH5+furatau9QwMAAAAAoNQjAYUyITMzUzNmzNDvv/8uNzc3tWjRQuPGjVO5cuXsHdotedSube8QbKY03QsAAAAAoGBIQKFMiIqKUlRUlL3DKLCA16fcvlEJYs7OlsHR0d5hAAAAAADuMg4hB4qpjIwMpaam2jsMmyL5BAAAAABlEwkooBgzm832DgEAAAAAgEIjAQUUYwaDwd4hAAAAAABQaCSggGLKxcVF7u7u9g7jrjBnZ9s7BAAAAABAEeIQcqAY+/nV1/THyZP2DqNIlatTR0FvTrV3GAAAAACAIkQCCijG/jh5Utd/PW7vMAAAAAAAKBS24AE2NHbsWPXv31/ZbCkDAAAAAMCCFVCAjezYsUM//PCDNmzYIEdHR3uHAwAAAABAscEKKMAGEhMT9eabb2ru3Lny9fW1dzgAAAAAABQrrIACbpCWliY3N7cC9fH19dWXX35ZRBEBAAAAAFCysQIKxV5UVJR69Oihffv26bHHHlOjRo307LPPKi4uTlevXtXIkSPVtGlTde7cWZ9++qml3+7duzVw4EAFBweradOmeuqpp/TVV19Zjb1hwwYZjUYdOHBAAwcOVOPGjfXOO+9IkpYtW6Ynn3xSzZo1U3BwsMLDw3XyhjfShYWFKTw83Krs2LFjMhqN2r9/fxF9IwAAAAAAlCysgEKJEB8fr7feektDhw6Vk5OT3njjDY0ZM0bu7u568MEH9fTTT+vDDz/U2LFjFRQUpOrVqysuLk4dOnTQoEGD5ODgoK+++kpDhgzRihUr1LJlS6vxR48erd69eys8PFzu7u6SpIsXL+rZZ59VtWrVlJycrLVr16pPnz7avn27fHx87PAtlDyZkrINt27jbDIpOTn5lm2cnJwKvCoNAAAAAFB8kIBCiXDt2jWtXr1a9erVkyRdvnxZU6dO1eDBgxUZGSlJCgwM1BdffKEdO3boueee07PPPmvpbzKZ1LJlS/3nP//Rhx9+mCsB1adPHw0ZMsSq7JVXXrH8nZ2drdatWys4OFjbt29X7969i+pWS41d7q76ydVFZsNtMlDxl6SePW/ZxMHBQaGhoZb/1gAAAACAkoUEFEoEf39/S/JJkmrXri1JCgkJsZR5e3vL19dXFy9elPTnCqZZs2Zp3759io+Pl9lsliQ1aNAg1/gPPfRQrrKDBw9qzpw5Onr0qK5evWopP3XqVOFvqAzIV/Ipn0wmk2JjY0lAAQAAAEAJRQIKJYK3t7fVtbOzsyTJy8vLqtzFxUXp6ekymUwaOnSokpKSNGLECNWqVUvu7u6aO3euLly4kGv8SpUqWV2fP39egwYNUsOGDTVlyhT5+/vL2dlZ4eHhSk9Pt/HdlU5N0zNsloTKWQEFAAAAACiZSEChVDp9+rSOHj2q+fPnq3PnzpbytLS0fPX/+uuvlZKSonnz5lmSX1lZWbp27ZpVOxcXF2VmZlqV3dimrOqYmq62qem3PQPKq149tXxv8S3bcAYUAAAAAJRsJKBQKuWsUspZKSVJ586d04EDByzb924lLS1NBoNBTk7/+yfy2WefKSsry6pdlSpVtG/fPpnNZhn+f6XP3r17bXAHpYOzJGfzrdu4OzjI09PzrsQDAAAAALAPElAole69915VqVJFM2fOlMlkUkpKiubOnSt/f/989W/VqpUkacKECerTp49+++03vf/++7m2Anbr1k0fffSRpk6dqs6dO+unn37S9u3bbX4/AAAAAACUZA72DgAoCi4uLoqJiZGLi4tGjhypuXPnaujQoWrRokW++huNRk2bNk2//PKLwsPDtXXrVs2ZMyfXmVPt2rXT2LFjtWvXLkVGRuq3337TlClTiuKWAAAAAAAosQzmnFeDASg2Dh8+LElKmva2rv963M7RFC3vB4wK+WC1vcMo1VJSUnTs2DEFBATIw8PD3uGghON5gi3xPMGWeJ5gKzxLsKXS/jzl/HYNDAy8bVtWQAEAAAAAAKBIcQYUUIyVq1PH3iEUubJwjwAAAABQ1pGAAoqxoDen2juEu8KcnS2Do6O9wwAAAAAAFBG24AHFVEZGhlJTU+0dxl1B8gkAAAAASjcSUEAxxjsCAAAAAAClAQkooBgzGAz2DgEAAAAAgEIjAQUUUy4uLnJ3d7d3GHZlzs62dwgAAAAAABvgEHKgGPsh6hUl/fekvcOwC69766j5W3+3dxgAAAAAABsgAQUUY0n/Pamrx361dxgAAAAAABQKW/BQaly/fl0xMTH6z3/+Y1UeFxcno9Gobdu22SkyAAAAAADKNhJQKDWuX7+uefPm5UpA+fv7a926dWrVqpWdIgMAAAAAoGxjCx6KtYyMDDk5OcnB4c5zpS4uLmrcuLHtggIAAAAAAAXCCijc1tq1a9WhQwcFBQVp4MCBOnr0qIxGozZs2CBJMhqNWrp0qVWf5cuXy2g0Wq5TUlIUHR2tbt26KSgoSB07dtSkSZOUlJRk1a9jx46Kjo7WkiVL1KFDBzVq1EhXr17ViRMnNGrUKLVv315BQUF65JFHtGzZMplMJkl/brPr1KmTJGnkyJEyGo0yGo2Ki4vLcwtezjz//Oc/1aFDBzVr1kwRERFKTEy0iue3335Tv379FBgYqK5du2rTpk2KiIhQWFiYpc3tYgMAAAAAoKxjBRRuaefOnZo8ebKeeuopdevWTceOHdNLL71U4HHS0tKUnZ2tUaNGydfXVxcuXNDChQsVERGhVatWWbX9/PPPVatWLb366qtycHCQh4eHjh8/rjp16uixxx5TuXLldOzYMcXExCglJUXDhg2Tv7+/5s2bp2HDhunll19Wy5YtJf25/e7y5ct5xrRr1y6dPn1akyZN0pUrVzRt2jRNnTpVs2bNssQ8aNAgeXt7a/r06ZKk+fPn6/r166pZs6ZlnMuXL98yNhRMpiSTwaA0k0nJycmWcicnJ7m5udkvMAAAAADAHSMBhVtasGCBWrVqpTfeeEOS1LZtW2VlZWnOnDkFGsfX11dTpkyxXGdlZalGjRp65plndPLkSdWpU8dSl5mZqSVLlsjDw8NSFhwcrODgYEmS2WxWs2bNlJaWptWrV2vYsGFycXFRQECAJKlWrVr52nJnNpu1YMECubi4SJLOnTunRYsWyWQyycHBQR9//LESEhK0Zs0a1ahRQ5LUsGFDde3a1SoBdbvYkH9fe3rosLurzAaDdOV3zezZ01Ln4OCg0NBQRUZG2jFCAAAAAMCdIAGFm8rOztaxY8c0btw4q/JOnToVOAElSbGxsVq+fLlOnz6tlJQUS/mpU6esElAtW7a0Sj5JUnp6uhYtWqTNmzfrwoULyszMtNT98ccfKleuXIHjad68uSX5JEl169ZVZmamEhIS5OfnpyNHjuj++++3JJ8kqUaNGnrggQeKPLayypJ8yoPJZFJsbCwJKAAAAAAogUhA4aYSExOVlZUlX19fq/KKFSsWeKwvvvhC48ePV+/evTVq1Cj5+PgoPj5ekZGRSk9Pv+3406dP1/r16xUZGamGDRvKy8tLO3fu1IIFC5Senn5HSR5vb2+r65xkVE48ly9fznXv0p+ruf4ac1HEVlYFpqbfNAmVswIKAAAAAFDykIDCTfn6+srJySnXwdwJCQlW1y4uLlarfiTp+vXrVtfbtm1TQECAoqOjLWXff/99nvMa8kg+bNu2Tb1799aQIUMsZXv27Mnfjdwhf39/HTt2LFd5YmKiVVLJHrGVVm2TU9QqOUUmg0Hl76+ndsv/d7g9Z0ABAAAAQMnFW/BwU46OjgoICNDOnTutynfs2GF1XaVKFZ04ccKqbN++fVbXaWlpcnZ2tirbvHlzvmNJT0+36p+dna2tW7datcmpv3FF1Z1q2LChjh8/rrNnz1rK4uLi9OuvvxY4NuSfsyRXs1luDg7y9PS0fEg+AQAAAEDJxQoo3NLQoUMVERGhiRMnqnv37jp69KhiY2Ml/bklSpK6deumFStWKDAwUHXq1NGmTZt06dIlq3FCQkIUHR2t+fPnq0mTJtqzZ4++/fbbfMcREhKi9evX67777lOFChX0wQcfKCMjw6qNn5+fvL29tXXrVtWoUUMuLi4yGo13fO9PPvmkFi5cqBdffFHDhw+XJM2bN0+VKlWyWqWVn9gAAAAAACjLWAGFW+rUqZNef/11ffPNN4qIiNDXX3+t119/XZLk6ekpSYqIiFCPHj00f/58jR07VtWqVVP//v2txunTp48GDRpkeTPchQsXNHPmzHzH8dprr6l58+aaOnWqXn31Vd1///168cUXrdo4ODho2rRpiouL04ABA9SrVy9dvnz5ju/dzc1Ny5YtU/ny5TVmzBhNnz5dAwcOVK1ateTl5VWg2AAAAAAAKMsMZrPZbO8gULKsX79eEydO1M6dO63eEFcWXL16VZ07d9aAAQM0bNiwIpvn8OHDkqT4qX/X1WO/3qZ16eQT8IA6frjG3mGUCikpKTp27JgCAgJyvWESKCieJ9gSzxNsiecJtsKzBFsq7c9Tzm/XwMDA27ZlCx5u6erVq5o3b55atWqlcuXK6fDhw1q4cKE6depUJpJPixcvVqVKlVS9enXFx8dr2bJlys7O1pNPPmnv0AAAAAAAKDFIQOGWnJycdPbsWW3ZskVJSUmqUKGCevbsqTFjxtg7tLvCwcFBCxYs0KVLl+To6KigoCCtWLFCVatWtXdoAAAAAACUGCSgcEuenp5atGiRvcOwmxdeeEEvvPCC3eb3ureO3ea2t7J87wAAAABQ2pCAAoqx5m/93d4h2JU5O1sGR0d7hwEAAAAAKCTeggcUUxkZGUpNTbV3GHZF8gkAAAAASgcSUEAxxksqAQAAAAClAQkooBgzGAz2DgEAAAAAgEIjAQUUUy4uLnJ3d7d3GDZhzs62dwgAAAAAADviEHKgGNs3LkrXTpy0dxiFUr5uHYW885a9wwAAAAAA2BEJKKAIZGZmqm/fvqpXr56mTZt2x+NcO3FSV44ds2FkAAAAAADcfWzBQ6kQFRWlHj16SJI2bNggo9GoxMTEfPextTlz5sjJyUlTpkwpkvEBAAAAAChJWAGFUiEiIkIpKSlF3ic/vv32W3366adav369XFxcbD4+AAAAAAAlDQkolAo1a9a8K33yIzg4WLt27SqSsQEAAAAAKInYgodSIa/tdGfOnFH//v0VFBSkjh076qOPPrptn0uXLmncuHEKCQlRo0aN1L17d61YscJSbzQatXTpUqs+y5cvl9FotFzv379fRqNRhw8fttXtAQAAAABQorECCqXWyy+/rN69e2vw4MH69NNP9eqrr8rf31/t2rXLs/2VK1fUu3dvSdKoUaNUo0YNnT59WmfOnLmbYedblqRsg8HeYdxWmsmk5ORkm4/r5OQkNzc3m48LAAAAALA9ElAotXr27Knw8HBJUtu2bXX27FnNnz//pgmo5cuXKyEhQZ999plq1Kgh6c/tdMXRd97ldNTDXeYSkIDS9UTN69nT5sM6ODgoNDRUkZGRNh8bAAAAAGBbbMFDqdWlSxer665du+qXX35RdnZ2nu2//fZbtWrVypJ8Ks5KTPKpCJlMJsXGxto7DAAAAABAPpCAQqlVsWJFq+tKlSopMzNTV65cybP91atX5e/vfzdCK7T6KakymM32DsOuclZAAQAAAACKP7bgodRKSEhQ5cqVLde///67nJ2dVaFChTzb+/j46PLly7cc08XFRZmZmVZl169fL3ywBdTq+h968PofJeIMKJ/771eXVe/bfFzOgAIAAACAkoMEFEqtL774QvXr17dcf/7552rQoIEcHR3zbB8cHKxly5bp/PnzqlatWp5tqlSpohMnTliV7du3z3ZBF4CTJKcSsArKzcFBnp6e9g4DAAAAAGBHJKBQam3cuFFubm6qX7++Pv30U/3www9avHjxTdsPGDBAGzdu1LPPPquhQ4fqnnvu0dmzZ3Xq1CmNHTtWktStWzetWLFCgYGBqlOnjjZt2qRLly7drVsCAAAAAKBEIgGFUmvmzJl69913NX/+fFWsWFFTp05V+/btb9q+QoUKWrNmjWbOnKkZM2YoNTVV1atX1zPPPGNpExERoYSEBM2fP18Gg0G9e/dW//799dZbb92NWwIAAAAAoEQiAYVS4a8JoCeeeEJPPPGEJGnVqlX56pOjatWqmjFjxk37eHh4aNq0abnKBw4caPm7ZcuWOn78eL7iBgAAAACgLOAteAAAAAAAAChSrIACirHydevYO4RCKw33AAAAAAAoHBJQQDEW8k7pOFvKnJ0tw03ePggAAAAAKP3YggcUUxkZGUpNTbV3GDZB8gkAAAAAyjYSUEAxZjab7R0CAAAAAACFRgIKAAAAAAAARYoEFFCMGQwGe4cAAAAAAEChkYACiikXFxe5u7vbO4x8M2Vn2zsEAAAAAEAxxVvwgGJs9+hxunriv/YO47Z86t6rh2a+Y+8wAAAAAADFFAkooBi7euK/Sjh6zN5hAAAAAABQKGzBgyTJaDRq6dKlluuwsDCFh4fbMSL7i4mJUZMmTewdBgAAAAAAJR4roCBJWrdunapVq2bvMAAAAAAAQClEAgqSpMaNG9s7BAAAAAAAUEqxBa+Ui4qKUo8ePbR//36FhoaqcePG6tWrl44cOWLV7sYteHn54Ycf1KdPHzVq1EgtW7bUhAkTdPXq1Vv22b9/v4xGo/bs2aNhw4apcePGatOmjRYuXJir7YkTJzR06FA1a9ZMjRs31pAhQ3TmzBmrNiaTSe+//74efvhhNWzYUK1bt9aIESOUlJRkGWPUqFFq3769goKC9Mgjj2jZsmUymUyWMeLi4mQ0GrVx40ZFR0erefPmatOmjd5++21lZWXliuv48ePq27evgoKC1KNHD3399ddW9bGxserbt69atGih5s2bKywsTIcOHbrl9wIAAAAAQFlCAqoMiI+P1xtvvKHnn39es2fPVnp6uoYNG6bMzMx8j3HkyBENHDhQ5cqV05w5czRmzBh9+eWXGjx4sLKzs2/b/7XXXtM999yjmJgYPfbYY5o1a5bWrFljqT979qz69Omja9eu6a233tKMGTOUmJioAQMGKCMjw9Ju6tSpmj59uh566CEtXLhQkyZNUrly5ZSSkiJJunz5surUqaPJkydr8eLFevrppzV//nz94x//yBXT7Nmz5eDgoNmzZ6tPnz5atmyZ1q9fb9UmMzNTY8aM0RNPPKF58+bJ19dXI0aM0JUrVyxt4uLiFBoaqjlz5mjGjBmqWrWq+vXrp5MnT+b7+y3usgxShsFw00+62aTk5OTbftLS0ux9KwAAAAAAO2ALXhlw7do1rV69WvXq1ZMkubu7q3///vr555/14IMP5muMhQsXys/PTwsXLpSzs7MkqWrVqnr++ee1Z88edezY8Zb9W7VqpfHjx0uS2rZtq4SEBC1YsEC9e/eWg4OD5s2bp/Lly+v999+Xq6urJKlp06bq1KmT1q9fb0norFmzRqNGjbI6IL1bt26Wv4ODgxUcHCxJMpvNatasmdLS0rR69WoNGzbMKqZGjRpp4sSJkqTWrVtr//792r59u/r27Wtpk5OAat++vSSpTp066tSpk7766iv17NlTkqzGNZlMat26tQ4dOqRPPvlEL7/8cr6+3+LsXz5e+renh8wGw80bJV/T4v//Pm7FwcFBoaGhioyMtGGEAAAAAIDijhVQZYC/v78l+SRJ9913nyTp0qVL+R7jxx9/VKdOnSzJJ0lq06aNvL299a9//eu2/bt06WJ13a1bN126dEkXL16UJO3du1cdO3aUo6OjsrKylJWVJW9vb9WvX9+yXfC7776T2WxWr169bjpPenq65s6dqy5duigwMFANGjTQrFmzFB8frz/++MOqbZs2bayu69ata4knh4ODgyWhJUk1atSQm5ub1Xd34sQJRUZGKiQkRAEBAWrQoIFOnjypU6dO3fZ7KQlum3wqAJPJpNjYWJuMBQAAAAAoOVgBVQZ4e3tbXeckkdLT0/M9xvXr11WxYsVc5RUrVtS1a9du29/X19fqulKlSpL+3B5YrVo1XblyRStWrNCKFSty9c2J9+rVq3JycsozjhzTp0/X+vXrFRkZqYYNG8rLy0s7d+7UggULlJ6ernLlylnaenl55Zrnr9v9JMnNzU0uLi652uV8d8nJyRo0aJB8fX0VFRWlatWq/V979x0WxdX2D/y7IAhIExQSMSiirI0iFgRRFIlYY4kaEFEDsSIqyqNgy4vlZ4nGgkYjYCFiw4JiwQ7Jgz7msaMxhmDXiNJFOszvD1/2ZV2auOuCfj/XxXUxZ86cuWc4jsvNOWdQv359zJ8//53ub21mkZ0jtyRU6QgoIiIiIiIi1ZqeTAAAPmVJREFU+rQwAUXVoqenh9TUVJny1NRU6OnpVXl8Wlqa1HZKSgoAoHHjxpL2nZycMGrUKJljS5NG+vr6KCoqQmpqaoVJqJiYGHzzzTeYMGGCpCwuLq7K+Grq+vXreP78OX7++We0bt1aUv7q1St89tlnCjvvh9Qx4xWsM1+hBBUnoAxaW2BARHiVbdWrVw8aGhryDI+IiIiIiIjqACagqFo6duyIs2fPIiAgAPXqvek28fHxyMrKQseOHas8/vTp01LT8E6ePAkjIyNJksbe3h6JiYlo27YtVFVVy22ja9euEIlEOHDggFSCqaz8/HypaYLFxcU4duxYta/zXZUuql32nFevXsXTp0+lpj3WdfUEABAq3F9fpAJtbe0PFg8RERERERHVLUxAUbVMmjQJbm5umDhxIjw9PZGSkoLVq1fDyspKskB3Zf7zn/9gxYoV6NatG+Lj43H48GEsXLgQKipvliGbNm0ahg8fDm9vb4wcORKNGjVCSkoKfv/9d3Tq1AkDBw6EmZkZ3NzcsG7dOmRmZsLe3h55eXmIjY2Fr68vjI2N4eDggMjISLRs2RINGzbErl27ZKbVyZONjQ20tLQQFBSECRMmIDk5GcHBwTA2NlbYOYmIiIiIiIjqGi5CTtXSvn17bN26Fa9fv4avry9++OEH9OzZEyEhIRWOWCpr0aJFePDgAaZOnYojR45g+vTp8PDwkOxv1qwZIiMjoa+vj6CgIHh7e2PVqlXIzc2FWCyW1Fu4cCH8/Pxw5swZeHt7Y+bMmXj9+rVkmt6CBQvQuXNnLF68GPPmzYOFhQUmTZok/xvyvxo1aoR169YhLS0NU6ZMwY4dOxAUFIRmzZop7JxEREREREREdY1IEISK59UQvadLly5hzJgx2L9/PywtLeXa9uXLl7F7926sXr1aru3WBgkJCQCApAVBSP3jjpKjqZph2zYYErVf2WFQBXJycnDnzh20adMGWlpayg6H6jj2J5In9ieSJ/Ynkhf2JZKnj70/lf7uWp3f9zkFj+qc3Nxc/P7770hJSUFsbKyywyEiIiIiIiKiKjABRXVOfn4+5s6di+zsbIwcOVLZ4SiUvnkLZYdQLXUlTiIiIiIiIlIOJqBIoezs7HD37l25tqmvr4/4+Hi5tllb9Vy9UtkhVFtJcTFUqrEeGBEREREREX16uAg5US1VUFCA3NxcZYdRbUw+ERERERERUUWYgCKqxfiOACIiIiIiIvoYMAFFREREREREREQKxQQUUS0mEomUHQIRERERERHRe2MCiqiWUldXh6amprLDqLGS4mJlh0BERERERES1BN+CR1SLnfLzR3rSPWWH8c4amrdAnzWrlB0GERERERER1RJMQBHJ0ZUrV+Dl5YVt27bB1tb2vdtLT7qHl7f/kENkRERERERERMrDKXhU6wQEBGDgwIEAgDt37iA4OBi5ubkfNIYnT55ALBYjJiam2se8fv0ac+bMwbx58+SSfCIiIiIiIiL6WHAEFNU6U6ZMQU5ODoA3CagNGzbAw8Oj1q+HtGzZMnTr1g0jR45UdihEREREREREtQoTUFTrmJqaKjuEGlmyZImyQyAiIiIiIiKqlTgFj2qd0il4Bw8eRGBgIADA3t4eYrEYzs7OAIAXL14gMDAQvXv3hpWVFfr06YMff/wRBQUFUm2JxWJs2bIFa9asgb29PTp16oSVK1dCEARcvHgRgwcPRocOHTB27Fj8888/MrHk5uZi7ty56NixI7p06YJly5ahqKhIqs7z58/h7+8POzs7WFlZwcPDA7du3VLQ3SEiIiIiIiKqezgCimqtnj17YvLkydi0aRNCQ0Oho6MDdXV1AEB6ejr09fURGBgIXV1dPHjwAMHBwXj58iWWLVsm1U5ERAS6dOmClStX4saNGwgODkZJSQni4+MxefJkqKmpYcmSJZg3bx62bt0qdeyPP/4IR0dHrF27Fn/88QfWr18PNTU1+Pv7AwAyMzMxatQoaGlpYcGCBdDR0cEvv/yCsWPH4tSpUzA0NPwwN+sDKxKJUCKqeH++ICA7O7vSNurVqwcNDQ05R0ZERERERES1ERNQVGsZGBhIpuO1a9cOBgYGkn1isRhz5syRbNva2kJTUxMBAQFYuHCh1HpRRkZG+OGHHwAA3bt3x7lz57B9+3YcO3YM5ubmAIDk5GQsXrwYWVlZ0NXVlRxramoqSWh1794deXl52LZtG8aPHw89PT3s2LEDWVlZiIyMlCSb7O3t4erqirCwMMyePVtBd0d5bhroIUmnASCqJAOVk4UdgwdX2o6KigqGDBkCHx8fOUdIREREREREtQ2n4FGdJAgCtm/fjv79+8PKygrt2rWDv78/ioqK8PjxY6m6Dg4OUttmZmYwMjKSJJ8AoHnz5gDeTKcr68svv5TadnV1RW5uLv766y8AQHx8POzs7KCnp4eioiIUFRVBRUUFnTt3RkJCgrwut1a5V1XyqZpKSkoQFRX1/gERERERERFRrccRUFQn7dixAytWrMB3330HOzs76OrqIiEhAYsWLUJ+fr5U3bIjmgBATU2t3DIAMseWHXUFAI0aNQIAvHz5EsCbqYDXr19Hu3btZGKsq4upV6XFq9dVj4CqhtIRUERERERERPTxYwKK6qSYmBg4Oztj1qxZkrKkpCS5nyctLU1qOyUlBQDQuHFjAICenh66d++O6dOnyxxbul7Vx8YqLRNt07MqXQOqUevWGLb7l0rb4RpQREREREREnw4moKhWKx2Z9Pbb7fLy8iT7SkVHR8v9/KdPn8a4ceMk2ydPnoSmpiYsLCwAvJned+TIEZibm0NLS0vu56+t6gkCIFS8v75IBG1t7Q8XEBEREREREdVqTEBRrVa6TlNERARcXFygoaEBsVgMBwcHhIeHY+fOnWjevDmOHDmChw8fyv38jx49QmBgIPr3748//vgDW7ZswdixY6GnpwcAGDduHKKjozF69GiMGTMGTZo0QVpaGm7cuAFjY2Op5BURERERERHRp4oJKKrV2rZtC19fX0RGRiI0NBSff/45zp07Bx8fH6Snp2P9+vUA3iwOPn/+fEyaNEmu5/fz88Pvv/+O6dOnQ1VVFaNGjYKfn59kf8OGDbF3716sXbsWq1atQkZGBgwNDWFtbS2zgDkRERERERHRp0okCEIlE2mISBlK36D3x7zv8fL2H0qO5t01btcW3xw5qOww6H/l5OTgzp07aNOmzSc1VZQUg/2J5In9ieSJ/YnkhX2J5Olj70+lv7taWlpWWVdF0cEQEREREREREdGnjVPwiGqxhuYtlB1CjdTVuImIiIiIiEgxmIAiqsX6rFml7BBqrKS4GCqqqsoOg4iIiIiIiGoBTsEjqqUKCgqQm5ur7DBqjMknIiIiIiIiKsUEFFEtxncEEBERERER0ceACSgiIiIiIiIiIlIoJqCIajGRSKTsEIiIiIiIiIjeGxNQRLWUuro6NDU1lR0GgDcLihMRERERERHVFN+CR1SLRU3zQ+rfSUqNwbClOYasX6PUGIiIiIiIiKhuYwKKauzWrVvw8PBAaGgoOnfurOxwPkqpfyfh+a3byg6DiIiIiIiI6L1wCh5VKCsrC2KxGAcPHpTZV1BQgICAAMyaNavayacnT55ALBYjJiZG3qHK3aVLlyAWi5GQkKDsUIiIiIiIiIjqPI6AohpZt24d2rZtizFjxlT7GCMjI+zduxfNmzdXXGBy0q5dO+zduxfm5ubKDoWIiIiIiIiozmMCimrkX//61zvVz8vLg4aGBmxsbBQTkJxpa2tXGWvpNRERERERERFR5TgFjyT27dsHZ2dnWFtbY+zYsXj48KFMnaioKLi7u6NLly7o3LkzPD09cfPmTak6wcHB6NChA27evIlvvvkGlpaWiIiIKHcKXklJCX766Sc4Ozujffv26Nu3L/bs2VNlrAEBARg4cCAuXLiAQYMGwcrKCqNHj8aTJ0+QkZGB6dOnw9bWFi4uLjh+/LjM8bGxsRgxYgSsrKzQtWtXfP/998jJyZHsL28KnlgsxpYtW/DDDz+gW7dusLe3BwBcu3YNkyZNgqOjI2xsbDB48GBERUVVeQ1EREREREREnwqOgCIAwPnz57FgwQIMGzYM/fv3x+3btzF9+nSZeo8ePcLAgQNhZmaGwsJCHD16FB4eHjhy5AjMzMwk9QoLCzFr1iyMGzcOfn5+0NfXL/e8K1euRHh4OCZPnowOHTogNjYW33//PYqKijB69OhKY3758iWWL1+OyZMno169eliyZAn8/f2hqamJTp06YeTIkdi3bx/+9a9/wdraGiYmJgCAmJgY+Pn5YdiwYfD19cXLly+xevVqZGVlYc2ayt/2Fh4eDmtrayxduhRFRUUAgGfPnsHW1hbu7u5QV1fH1atXMX/+fAiCgKFDh1baXm1ULBKhRCSSbBcIArKzs8utW69ePY4CIyIiIiIioioxAUUAgE2bNqFTp05YtmwZAKB79+7Iz8/HTz/9JFVv2rRpUttOTk64efMmDh06hJkzZ0rKCwsL4efnh/79+0vKnjx5InVsWloadu7cCW9vb/j6+gIAHB0dkZ6ejo0bN8Ld3R2qqqoVxpyZmYmdO3eiVatWAIAXL15g8eLFGD9+PHx8fAAAlpaWOH36NM6cOYOxY8dCEASsXLkS/fv3x9KlSyVtNW7cGBMmTMCUKVMk7ZVHT08PGzZsgKhMgmbAgAGS7wVBQOfOnZGcnIy9e/fWuQTUX40M8ERfByhzfSjIwf7Bg8utr6KigiFDhkjuNxEREREREVF5OAWPUFxcjNu3b+PLL7+UKnd1dZWp+/DhQ/j7+8PFxQXW1tawtLTEw4cP8eDBA5m6Tk5OlZ735s2bKCwsRN++faXK+/Xrh7S0tHLbLMvIyEgqWVS6uLmDg4OkTFdXFwYGBnj+/DkA4P79+3j69Cn69euHoqIiyVeXLl2goqKCW7duVXrOHj16SCWfgDeJsCVLlqBXr15o166dZAHz+/fvV9pWbfT07eRTFUpKSjjdkIiIiIiIiKrEEVCEtLQ0FBUVwcDAQKq8UaNGUtuvX7/Gt99+C0NDQ8yZMwdNmzaFuro6/P39kZ+fL1VXU1MTDRo0qPS8mZmZ5Z6ndDsjI6PS43V1daW21dTUAAA6OjpS5erq6pL40tPTAaDCETv//PNPpec0NDSUKQsICMC1a9fg4+ODli1bQltbG7t378aJEycqbas2Msl4JTsCqhKlI6CIiIiIiIiIKsMEFMHAwAD16tVDWlqaVHlKSorU9vXr1/H06VNs2rQJYrFYUp6RkQEjIyOpum+PEipP6bpQqampMDY2ljlvRetGvY/SNhcuXAgrKyuZ/W9fx9vevq78/HzExsYiICAAnp6ekvJdu3a9f7BKYJGSBvPUdKk1oIzbtIZn5O5y63MNKCIiIiIiIqoOJqAIqqqqaNu2LU6fPo1x48ZJyk+ePClVLzc3V1K/1OXLl/Hs2TNYWFi883ktLS2hpqaGmJgYtG3bVlJ+4sQJGBoaSqbUyVOLFi3w2Wef4fHjx/Dw8Hjv9goKClBSUiIZfQUA2dnZOHfu3Hu3rSyqggBVQZBsq4tE0NbWVmJEREREREREVNcxAUUAgEmTJmHKlCkIDAyUvAXv8OHDUnVsbGygpaWFoKAgTJw4Ec+fP0dwcLDU6KV3YWBggNGjRyMsLAzq6uqwsbFBXFwcjh49igULFlS6AHlNiUQiBAQEwN/fHzk5OejZsyc0NTXx7NkzxMXFwc/PT+ptflXR0dGBpaUlQkJCJCPJtmzZAm1tbZkRZURERERERESfKiagCADQu3dvBAUFYfPmzTh27Bisra2xdu1ajBgxQlKnUaNGWLduHVauXIkpU6agefPmWLRoEUJDQ2t83tmzZ0NHRwf79+/H5s2bYWJigqCgILi5ucnjssrVr18/6OrqYvPmzYiOjgYAmJiYoHv37jLrUVXH6tWrsXDhQgQEBEBfXx+enp7IycnB1q1b5R06ERERERERUZ0kEoQyc22IqFZISEgAAPw+Zx6e37qt1Fg+a98O3sePKDUGej85OTm4c+cO2rRpAy0tLWWHQ3Uc+xPJE/sTyRP7E8kL+xLJ08fen0p/d7W0tKyyroqigyEiIiIiIiIiok8bp+AR1WKGLc2VHUKtiIGIiIiIiIjqNiagiGqxIevXKDsEAEBJcTFUFLAoPBEREREREX0aOAWPqJYqKChAbm6ussMAACafiIiIiIiI6L0wAUVUi/EdAURERERERPQxYAKKiIiIiIiIiIgUigkoolpMJBIpOwQiIiIiIiKi98YEFFEtpa6uDk1NTWWHIRclxcXKDoGIiIiIiIiUiG/BI6rFdk+ZjheJfys7jPdi1Kol3H9ap+wwiIiIiIiISImYgCL6X0ePHkVQUBAiIyPRvHlzZYcDAHiR+DeeJdxSdhhERERERERE74VT8KhOCggIwMCBAwEABw8ehFgsRlpaGgDgyZMnEIvFiImJqXZ7ycnJWLJkCVavXl1rkk9EREREREREHwuOgKI6acqUKcjJyZFLW4IgIDAwEF5eXujRo4dc2iQiIiIiIiKi/8MEFNVJpqamcmtLJBJh69atcmuPiIiIiIiIiKRxCh7VSWWn4FUkPz8fixYtQufOneHo6IgVK1agqKhIqk5SUhImT56Mjh07wsbGBhMmTMCjR48k+yuazrd06VI4OztLtrOysjB//nx0794dlpaWcHJygp+fnxyulIiIiIiIiKjuYwKKPlpr166FiooK1q5dCzc3N2zduhWRkZGS/Y8fP4abmxsyMzOxfPlyrFq1CmlpaRg3bhwKCgre6VzLli1DbGwsZs6cibCwMMyePRvq6uryvqQ6p1gkQqEgIDs7G9nZ2cjLy1N2SERERERERKQEnIJHHy0rKyvMnz8fANCtWzdcunQJJ0+ehLu7OwBgw4YN0NPTw7Zt21C/fn0AgK2tLXr37o3IyEh4eHhU+1wJCQkYOHAghg4dKikbMGCAHK+m7nn0WSO8MNADhHycGDwYAKCiooIhQ4bAx8dHydERERERERHRh8QRUPTRcnR0lNo2NzfH8+fPJdvx8fFwdnaGqqoqioqKUFRUBF1dXbRt2xa3bt16p3O1bdsWhw4dQlhYGP766y+5xF/XvTDQA0QiqbKSkhJERUUpJyAiIiIiIiJSGo6Aoo+Wjo6O1LaamprU1Lr09HTs2LEDO3bskDlWTU3tnc61YMECyWiqlStX4vPPP8eECRMwatSomgX/ETBKy5RJQpWOgCIiIiIiIqJPCxNQ9MnS09ODk5NTuUmiBg0aAIBkal5hYaHU/qysLKltHR0dzJs3D/PmzcPdu3cRHh6OoKAgWFhYoFOnTgq6gtrN9HkKTJJT8Vm7tpgUtQ8AUK9ePWhoaCg5MiIiIiIiIvrQmICiT5a9vT0SExPRtm1bqKqqllvH0NAQampqSEpKkpQVFBTgv//9b4XtisViBAYGYv/+/UhKSvpkE1AAoCoIUBOJoK2trexQiIiIiIiISImYgKJP1rRp0zB8+HB4e3tj5MiRaNSoEVJSUvD777+jU6dOGDhwIFRUVPDll18iIiICzZo1Q8OGDbFz504IggBRmallbm5u+PLLL9GqVSuoqqoiKioKampqn3TyiYiIiIiIiKgUE1D0yWrWrBkiIyOxdu1aBAUFIScnB40bN0bnzp0hFosl9RYsWIAFCxZgyZIlaNCgAby9vWFmZoazZ89K6tja2iIqKgpPnjyBiooKLCwssHnzZpibmyvj0oiIiIiIiIhqFZEgCIKygyAiaQkJCQCAczMD8Czh3d7IV9s0sWyP6aePKTuMT1pOTg7u3LmDNm3aQEtLS9nhUB3H/kTyxP5E8sT+RPLCvkTy9LH3p9LfXS0tLausq6LoYIiIiIiIiIiI6NPGKXhEtZhRq5bKDuG9fQzXQERERERERO+HCSiiWsz9p3XKDkEuSoqLoVLBmwaJiIiIiIjo48cpeES1VEFBAXJzc5Udhlww+URERERERPRpYwKKqBbjOwKIiIiIiIjoY8AEFBERERERERERKRQTUES1mEgkUnYIRERERERERO+NCSiiWkpdXR2amprKDkMhSoqLlR0CERERERERfUB8Cx5RLbZ1oi+e/5Wo7DDk6jOLVvD6OVjZYRAREREREdEHxAQUUS32/K9EPL55S9lhEBEREREREb0XTsEjuQsICMDAgQMBAHfu3EFwcDByc3OVHFXFzpw5g4iICJnystdBRERERERERDXHEVAkd1OmTEFOTg6ANwmoDRs2wMPDo9auZ3TmzBncunULHh4eUuVlr4OIiIiIiIiIao4JKJI7U1NThbWdl5cHDQ0NhbVfliKvg4iIiIiIiOhTwil4JHelU9cOHjyIwMBAAIC9vT3EYjGcnZ0BAC9evEBgYCB69+4NKysr9OnTBz/++CMKCgqk2hKLxdiyZQt++OEHdOvWDfb29gCAa9euYdKkSXB0dISNjQ0GDx6MqKgoqWMvXboEsViM+Ph4zJo1Cx06dECvXr0QEhIiFeuhQ4eQmJgIsVgMsViMgIAAqesodfDgQYjFYiQkJMDLywvW1tZwdXXFhQsXUFJSgjVr1sDBwQEODg5YvXo1SkpK5H5viYiIiIiIiOoijoAihenZsycmT56MTZs2ITQ0FDo6OlBXVwcApKenQ19fH4GBgdDV1cWDBw8QHByMly9fYtmyZVLthIeHw9raGkuXLkVRUREA4NmzZ7C1tYW7uzvU1dVx9epVzJ8/H4IgYOjQoVLHf//99xg8eDA2btyIM2fOYNWqVRCLxejRowemTJmCtLQ03Lt3D6tWrQIAGBgYVHpdc+bMgZubG7799lts2bIFU6dOxdChQ5GdnY0VK1bgxo0bCA4OhoWFBQYNGiSv21mnlIhEEFRE5e4rhIDs7GyZ8nr16n2w0W1ERERERET0YTEBRQpjYGAgmcbWrl07qcSOWCzGnDlzJNu2trbQ1NREQEAAFi5cKLVelJ6eHjZs2ACR6P8SGgMGDJB8LwgCOnfujOTkZOzdu1cmAdWnTx/4+voCeDMSKzY2FidPnkSPHj1gamoKAwMDPHv2DDY2NtW6rtGjR2PUqFEAAGNjYwwaNAi3bt3C3r17AQDdu3fHuXPnEBMT80kmoF6YNEZGo4aAqPwEVBKK8OvgwTLlKioqGDJkCHx8fBQdIhEREREREX1gTECRUgiCgB07dmDfvn148uQJ8vPzJfseP34MCwsLyXaPHj2kkk8AkJmZieDgYJw9exbJyckoLi4GAOjr68ucy9HRUfK9SCSCubk5nj9/XuPYu3XrJvm+efPmAICuXbtK1TEzM8P9+/drfI66rLLkU2VKSkoQFRXFBBQREREREdFHiAkoUoodO3ZgxYoV+O6772BnZwddXV0kJCRg0aJFUskoADA0NJQ5PiAgANeuXYOPjw9atmwJbW1t7N69GydOnJCpq6OjI7WtpqaGV69e1Tj2su2VTinU1dWVOcfb61l9KvRT0muUhCodAUVEREREREQfHyagSCliYmLg7OyMWbNmScqSkpLKrfv26Kf8/HzExsYiICAAnp6ekvJdu3YpJlh6J0ZPX6LRs5QK14AyadcGs6IPyJRzDSgiIiIiIqKPFxNQpFBqamoAIDMaKC8vT7KvVHR0dLXaLCgoQElJidTx2dnZOHfuXI1jfHvUFb0fFUEAioVy96lBBG1t7Q8cERERERERESkTE1CkUObm5gCAiIgIuLi4QENDA2KxGA4ODggPD8fOnTvRvHlzHDlyBA8fPqxWmzo6OrC0tERISAgMDAxQr149bNmyBdra2khLS6tRjAcOHMDRo0fRrFkzNGzYEE2bNn3ndoiIiIiIiIiofCrKDoA+bm3btoWvry+OHDkCNzc3TJ48GQDg4+ODQYMGYf369Zg5cybq16+P+fPnV7vd1atXw9TUFAEBAViyZAlcXV1rvH7Q8OHD0bdvXyxevBjDhw/Hhg0batQOEREREREREZVPJAhC+fNkiEhpEhISAADR0/6FxzdvKTka+frCqj3mno9RdhiflJycHNy5cwdt2rSBlpaWssOhOo79ieSJ/Ynkif2J5IV9ieTpY+9Ppb+7WlpaVlmXI6CIiIiIiIiIiEihuAYUUS32mUUrZYcgdx/jNREREREREVHlmIAiqsW8fg5WdggKUVJcDBVVVWWHQURERERERB8I14AiqoWuXr0KQRCgpqYGkUik7HCojhMEAYWFhexPJBfsTyRP7E8kT+xPJC/sSyRPH3t/KigogEgkgq2tbZV1OQKKqBYqfTB9jA8o+vBEIhHU1dWVHQZ9JNifSJ7Yn0ie2J9IXtiXSJ4+9v4kEomq/XsrR0AREREREREREZFC8S14RERERERERESkUExAERERERERERGRQjEBRURERERERERECsUEFBERERERERERKRQTUEREREREREREpFBMQBERERERERERkUIxAUVERERERERERArFBBQRERERERERESkUE1BERERERERERKRQTEAREREREREREZFCMQFFREREREREREQKVU/ZARB9apKSkrBkyRJcu3YNDRo0wODBgzFjxgyoq6tXepwgCAgJCcGuXbuQlpaGNm3aIDAwEDY2Nh8mcKqVatqfnJ2d8fTpU5nymzdvon79+ooKl2qxhw8fIiwsDDdu3EBiYiJatGiBo0ePVnkcn01Unpr2Jz6bqDwnTpzAkSNHcPv2bWRlZaFZs2bw9PTE119/DZFIVOFxfD5ReWran/h8orfFxcUhJCQEf//9N7Kzs2FsbAwXFxdMnToVOjo6lR4bGRmJ0NBQPHv2DGZmZvDz80OvXr0+UOTKwwQU0QeUmZmJsWPHonnz5ggODkZycjKWL1+OvLw8LFy4sNJjQ0JCsH79evj7+0MsFiMiIgJeXl44fPgwvvjiiw90BVSbvE9/AgBXV1d4eXlJlVWVuKKPV2JiIuLi4mBtbY2SkhIIglCt4/hsovLUtD8BfDaRrO3bt8PExAQBAQFo2LAhLly4gAULFuD58+eYOnVqhcfx+UTlqWl/Avh8ImkZGRmwsrKCp6cn9PX1kZiYiODgYCQmJmLr1q0VHnfs2DEsWLAAkyZNQteuXXH8+HFMnToVERERH3+CXCCiD2bz5s2CjY2NkJ6eLinbs2eP0KZNG+H58+cVHpeXlyfY2toKq1evlpTl5+cLvXr1Er7//nsFRky1WU37kyAIQq9evYSgoCAFR0h1SXFxseT7OXPmCAMGDKjyGD6bqCI16U+CwGcTlS81NVWmbP78+YKtra1UXyuLzyeqSE36kyDw+UTVs3fvXsHCwqLSz+J9+vQRZs6cKVX2zTffCN99952iw1M6rgFF9AH9+uuvsLe3h76+vqSsX79+KCkpQXx8fIXHXb16FdnZ2ejXr5+kTF1dHV9++SV+/fVXRYZMtVhN+xNReVRU3v0jAZ9NVJGa9CeiihgYGMiUtWnTBtnZ2cjJySn3GD6fqCI16U9E1VX6ubywsLDc/Y8fP8aDBw+knk0A0L9/f1y8eBEFBQWKDlGp+OmA6AO6d+8eWrRoIVWmq6uLxo0b4969e5UeB0DmWHNzczx79gx5eXnyD5ZqvZr2p1LR0dFo3749OnTogPHjx+Pu3buKCpU+Unw2kSLw2UTVceXKFRgbG0NbW7vc/Xw+0buoqj+V4vOJylNcXIz8/Hzcvn0bGzduhLOzM5o2bVpu3dJnk5mZmVS5ubk5CgsL8fjxY4XHq0xcA4roA8rKyoKurq5MuZ6eHjIzMys9Tl1dXWaBQ11dXQiCgMzMTGhoaMg9XqrdatqfgDcLaVpZWaFJkyZ4/PgxNm/ejFGjRiEqKorrYlC18dlE8sZnE1XH5cuXcfz4ccyZM6fCOnw+UXVVpz8BfD5RxXr16oXk5GQAQPfu3bF69eoK65Z+Rn/7M3zpdlWf4es6joAiIvoEzZ8/H1999RU6deqEoUOH4pdffgEAhIWFKTkyIvqU8dlEVXn+/Dn8/PxgZ2eHMWPGKDscquPepT/x+UQV2bJlC/bs2YMlS5bg3r17mDRpEoqLi5UdVq3EEVBEH5Curi5evXolU56ZmQk9Pb1KjysoKEB+fr7UX/KysrIgEokqPZY+XjXtT+UxMjJCx44dcfv2bXmFR58APptI0fhsorKysrIwfvx46OvrIzg4uNK1xvh8oqq8S38qD59PVKp169YAgA4dOsDS0hKDBw/G6dOn0bdvX5m6pc+eV69eoXHjxpLyrKwsqf0fK46AIvqAWrRoIbM2z6tXr/Dy5UuZNQrePg4A7t+/L1V+7949NGnShEPIP1E17U9E8sJnExF9KHl5eZg4cSJevXqF0NBQ6OjoVFqfzyeqzLv2J6LqEovFUFNTw6NHj8rdX/psevsz/L1796CmpvbRT+dkAoroA+rRowcuXLggyXADQExMDFRUVNCtW7cKj7O1tYW2tjZOnDghKSssLMSpU6fQo0cPhcZMtVdN+1N5kpOTceXKFVhaWso7TPqI8dlEisZnEwFAUVERZsyYgXv37iE0NBTGxsZVHsPnE1WkJv2pPHw+UXlu3LiBwsLCChch/+KLL9C8eXPExMRIlR8/fhz29vZQV1f/EGEqDafgEX1Abm5u+OWXX+Dj44OJEyciOTkZK1euhJubm9R/fmPHjsWzZ89w+vRpAED9+vUxceJEBAcHw8DAABYWFti9ezcyMjLg7e2trMshJatpfzp69CjOnz8PJycnGBkZ4fHjx9iyZQtUVVXx7bffKutySMlyc3MRFxcHAHj69Cmys7MlH466dOkCAwMDPpuo2mrSn/hsoooEBQXh/PnzCAgIQHZ2Nq5fvy7Z17ZtW6irq/P5RNVWk/7E5xOVZ+rUqWjfvj3EYjE0NDTw559/IiwsDGKxGC4uLgCAuXPnIioqCn/88YfkOF9fX/j7+8PU1BR2dnY4fvw4bt68iZ07dyrrUj4YJqCIPiA9PT3s2LEDixcvho+PDxo0aIDhw4fDz89Pql5JSYnMwnXjx4+HIAjYunUr0tLS0KZNG4SFhX30wzSpYjXtT02bNsWLFy/w//7f/8OrV6+go6ODrl27Ytq0aexPn7DU1FRMnz5dqqx0Ozw8HHZ2dnw2UbXVpD/x2UQViY+PBwAsX75cZt/Zs2fRtGlTPp+o2mrSn/h8ovJYWVnh+PHj2LJlCwRBgImJCUaMGAFvb2/JSKbynk0DBw5Ebm4uQkJCsGXLFpiZmWHDhg3o0KGDMi7jgxIJgiAoOwgiIiIiIiIiIvp4cQ0oIiIiIiIiIiJSKCagiIiIiIiIiIhIoZiAIiIiIiIiIiIihWICioiIiIiIiIiIFIoJKCIiIiIiIiIiUigmoIiIiIiIiIiISKGYgCIiIiIiIiIiIoWqp+wAiIiIiIiIiIhIfh4+fIiwsDDcuHEDiYmJaNGiBY4ePVrj9mJjY7F582b8+eefUFNTQ+vWrfHDDz/gs88+q3YbHAFFRERE9IF5enrC09NTIW3HxMSgU6dOcHNzw4MHD7BgwQJs375dIed6VwcPHoRYLMaTJ0+UHcoH9fr1a9jb2+PIkSPKDqVST548gVgsxsGDB+XWZnBwMMRisdzaKys9PR02NjaIi4tTSPtERHVZYmIi4uLi0KxZM5ibm79XW4cPH8bUqVPRpUsXbN68GcuXL0f79u2Rn5//Tu1wBBQRERER3iRHAgMDK9y/d+9e2NjYfLiAaig0NBQjR47EkydP0K9fP+jq6uLAgQPKDkuhUlJSEBYWhvPnz+Off/6BSCRCixYt4OLigtGjR0NXV1dSVxAEHD58GJGRkbh79y4KCwthamoKV1dXeHl5QUtLS1K3pKQEUVFROHXqFO7cuYPMzEw0bdoU/fv3h7e3N+rXr1+t+MLDw9GgQQMMGDBAUhYXF4ebN2/C19dXfjfiE9OwYUMMHz4c69atg5OTk7LDISKqVZydneHi4gIACAgIwK1bt2rUTkZGBhYtWoS5c+di1KhRkvLevXu/c1tMQBERERGVMW3aNDRt2lSm3NTUVG7nCAsLk1tbb1u3bh2MjY1Rr149pKWloUGDBtVOlNRFN2/exIQJE5CTk4OvvvoK7dq1AwDcunULISEhuHz5MrZu3QoAKC4uxqxZs3DixAl06tQJU6dOhaamJi5fvoyNGzfi5MmT2LZtGxo1agQAyM3NRWBgIGxsbODm5gZDQ0Ncu3YNwcHBuHjxIsLDwyESiSqNr7CwEOHh4Rg3bhxUVVUl5XFxcYiIiGAC6j25u7vjl19+wcWLF2Fvb6/scIiIag0VlaonvAmCgK1bt2Lfvn14+vQpjI2N4enpiXHjxknqnDhxAiUlJRg+fPh7x8QEFBEREVEZPXr0gKWlpULPoa6urrC2TUxMJN8bGBgo7Dy1QVZWFqZOnQpVVVUcOnRIZoqBn58f9u3bJ9kODQ3FiRMn4OXlhTlz5kjKv/nmG/Tr1w8+Pj4ICAhAaGgoAEBNTQ27d++Gra2tpO7IkSNhYmIiSUI5ODhUGmNsbCzS0tLQr18/eVwyvcXc3BwWFhY4dOgQE1BERO9o6dKliIyMxKRJk2BtbY2rV69i1apVqF+/Ptzd3QEAN27cgJmZGaKiorBp0yYkJyejVatWmDlz5juPPuUaUERERETvoHSdnLCwMERERKB3796wtraGl5cX/vnnHwiCgI0bN6JHjx6wsrLC5MmTkZGRIdVGeWtA/fLLLxgwYACsra3RuXNnDBs2DNHR0ZL92dnZWLp0KZydndG+fXvY29vj22+/xe3bt6XaOXHiBIYNGwYrKyvY2dnB398fycnJMteRlJSEadOmoUuXLrC0tMSwYcNw9uxZqTqFhYXYsGED+vTpA0tLS9jZ2cHd3R3x8fFV3qfExESMGTMGVlZW6NGjB3766SeUlJSUWzcuLg6jRo2CjY0NOnTogAkTJiAxMbHKc+zZswfJyckICAgod32LRo0aYcqUKQCAvLw8hIWFoXnz5pg1a5ZMXWdnZwwZMgS//fYbrl+/DuBNorBs8qnUl19+CeDNPazKmTNnYGJiIjWCLiAgABEREQAAsVgs+SqVk5OD5cuXw8nJCe3bt4erqyvCwsIgCIJU22KxGIsWLcKZM2cwcOBAtG/fHgMGDMCvv/4qE0dycjICAwPh4OAgqbd///4q4//zzz8REBCA3r17w9LSEt26dUNgYCDS09Nl6l6+fBlff/01LC0t4eLigj179pTb5oEDBzBmzBjY29ujffv26N+/P3bt2iVTLyEhAd7e3rCzs4OVlRWcnZ3LnSbr4OCA8+fPy9wfIiKq2KNHj7Bz507MnTsXkydPhoODA6ZOnYpx48Zh48aNkv+zX758ifv372PdunWYPn06QkJCYGJigilTplTr/+qyOAKKiIiIqIzs7GykpaVJlYlEIjRs2FCqLDo6GoWFhfD09ERGRgZCQ0MxY8YMdO3aFZcuXcL48ePx8OFD7Ny5EytWrMCyZcsqPOe+ffuwZMkSuLq6YsyYMcjPz8fdu3dx48YNDBo0CADw/fff4+TJkxg9ejTMzc2RkZGBK1euICkpSTLtrHQdK0tLS8ycOROpqakIDw/H1atXERUVJVkLKTExEe7u7jA2Nsb48eOhpaWFEydOwMfHB8HBwZIEy4YNG/Dzzz9jxIgRsLKyQnZ2Nm7duoXbt2+jW7duFV7Py5cvMWbMGBQXF2PChAnQ1NTEvn37yp0KGBUVhYCAADg6OsLf3x+5ubnYvXs3Ro0ahUOHDpU7HbLUuXPnoKGhAVdX1wrrlLpy5QoyMzMxZswY1KtX/kfgIUOG4ODBgzh//nyl632lpKQAgEyfKM+1a9ckP59S33zzDV68eIH4+HisXLlSap8gCJg8eTIuXbqE4cOHo02bNvjtt9+wcuVKJCcnY+7cuTLXderUKYwaNQoNGjTAL7/8gmnTpuH8+fOS+FJSUjBy5EiIRCJ4eHjAwMAAv/76K+bNm4fs7GypqRZvu3DhAh4/foxhw4ahcePGSExMxL59+/D3339j3759kimId+/ehbe3NwwMDODr64uioiIEBwfD0NBQps3du3ejVatWcHZ2Rr169XD+/HkEBQVBEAR4eHgAAFJTU+Ht7Y2GDRtiwoQJ0NXVxZMnT3D69GmZ9tq1a4ft27cjMTERFhYWVf5MiIjozfMdAPr06YOioiJJuYODA0JCQvDPP//AxMQEgiAgJycHq1atkqz71KVLF7i6uiIkJETm/7HKMAFFREREVEZ5v4yrq6sjISFBqiw5ORmnTp2Cjo4OgDcLVv/888/Iy8vDgQMHJEmO9PR0REdHIygoqMKpd7GxsWjVqhXWr19fYVxxcXEYOXIkAgICJGXjx4+XfF9YWIhVq1bBwsICERERkmRPx44dMXHiRGzfvh3Tpk0D8GbI/eeff44DBw5IYho1ahTc3d2xatUqSQIqNjYWTk5OWLx4caX37G0hISFIS0tDZGQkrKysAABDhw5Fnz59pOq9fv0aS5cuxYgRI6TOMXToUPTt2xc///xzpee+d+8emjdvXq0pjX///TcAoHXr1hXWKd137969StsKDQ2FtrY2evToUWm9oqIiPHr0SGah1g4dOqB58+aIj4/H4MGDpfadPXsW//nPfzBjxgxMnjwZAODh4YFp06YhPDwco0ePlhpNlZSUhOPHj0vK7OzsMHjwYBw7dgyjR48GAKxZswbFxcWIjo6WJKXc3d0xc+ZMbNiwAW5ubtDQ0Cj3GkaNGgUvLy+pMhsbG8ycORNXrlxBp06dAADr16+HIAiIiIhAkyZNAACurq6SBGpZO3fulDrf6NGj4e3tjW3btkkSUNeuXUNmZibCwsKkpsT6+fnJtPfFF18AePMzZgKKiKh60tPTIQgCunbtWu7+0gRU6R+vytZTU1ND586d33kEFKfgEREREZWxcOFCbNu2TeorJCREpl7fvn0lyScAkkTLV199JTXCxsrKCoWFheVOgyulq6uL58+f4+bNm5XWuXHjRoXt3Lp1C6mpqXB3d5caadSzZ0+0aNECsbGxAN68zeY///kP+vXrJxntlZaWhvT0dDg6OuLBgweSc+jq6iIxMREPHjyoMK7yxMXFwcbGRnJPgDfrUb2djLhw4QKysrIwYMAASRxpaWlQUVGBtbU1Ll26VOl5srOz0aBBg2rF9Pr1awCotH7pvuzs7ArrbN68GRcuXMCsWbOk3q5XnszMTAiCUGW9sn799VeoqqrKTNH08vKCIAgy0+scHBykElKtW7eGtrY2Hj9+DODNiKpTp07B2dkZgiBI3WdHR0e8evVKZhpnWWUTRfn5+UhLS4O1tTUASI4rLi7Gv//9b7i4uEiST8Cb9ZkcHR0rbfPVq1dIS0tDly5d8PjxY7x69QoAJP+2YmNjUVhYWMkdg+T+ljctkIiIyqenpweRSITdu3dj//79Ml+lf5Rp2bJlhW3k5+e/0zk5AoqIiIioDCsrq2otQv75559LbZf+wlxReWZmpmSkxtvGjx+PCxcuYMSIEWjWrBm6deuGgQMHomPHjpI6/v7+CAgIQM+ePdGuXTs4OTlhyJAhkjafPXsGADAzM5Npv0WLFrhy5QqAN2s+CIKAdevWYd26deXGk5qaCmNjY0ybNg1TpkyBq6srLCws4OjoiMGDB1c6iqg0ltIkRVlvx1aa2Bo7dmy57Whra1d6Hm1tbUliqSqlyaXK6leVpDp+/DjWrl2L4cOHS72KuirvsjbR06dPYWRkJHPtpWtcPX36VKr87f4GvPmlIisrCwCQlpaGrKws7N27F3v37i33nG9POS0rIyMDGzZswPHjx5Gamiq1rzRZlJaWhry8PDRr1kzmeDMzM8TFxUmVXblyBcHBwbh+/Tpyc3Nl2tTR0ZFM79iwYQO2b9+OLl26wMXFBYMGDapwxFtVbyQkIqL/U/rihoyMDDg7O1dYr1evXpIXb7i4uAAACgoK8N///lcyCra6mIAiIiIiqgFVVdVyyyt67XFlSQhzc3PExMQgNjYWv/32G06dOoVdu3bBx8dHMm2uf//+6NSpE06fPo34+HiEhYUhJCQEwcHB7/QWmtJFRb28vNC9e/dy65SOqOncuTNOnz6Ns2fPIj4+Hvv378eOHTsQFBSEESNGVPucFSm9JytXrkTjxo1l9ld0j0u1aNECd+7cQUFBQZXT8EoTOH/++afkA/Tb7t69K1W3rPj4eMyePRs9e/ZEUFBQpecqVfrX5dJkkCJUdI9K723pz/urr77C0KFDy61bdgH0t82YMQPXrl2Dt7c32rRpAy0tLZSUlOC7776r0aLfjx49wrhx49CiRQsEBATg888/h5qaGuLi4rB9+3ZJvCKRCOvXr8f169dx/vx5/Pbbb5g7dy62bduGvXv3SiUJMzMzAVRvTS4iok9Fbm6u5A8AT58+RXZ2NmJiYgC8WcPJzMwMHh4emD17Nry9vWFtbY3CwkI8ePAAly5dwk8//QTgzTp7rq6uWLBgATIyMtC4cWPs2rULKSkp8Pb2fqeYmIAiIiIiqgW0tLTQv39/9O/fHwUFBfD19cXmzZsxceJEyZQ6IyMjeHh4wMPDA6mpqRg6dCg2b94MJycnydSn+/fvy7yO/v79+5L9pSOm1NTU4ODgUGVc+vr6+Prrr/H111/j9evXGD16NIKDgytNQDVp0gQPHz6UKb9//77UdmkshoaG1Yrlbb169cK1a9dw6tQpDBw4sNK6HTt2hK6uLo4ePYrJkyeXm7iJioqStFvWjRs3MHXqVLRv3x5r166tcBHzt9WrVw+mpqZ48uSJzL6KRuuYmJjg4sWLyM7OlhoFVboulYmJSbXOXcrAwAANGjRASUnJO9/jzMxMXLx4Eb6+vpg6daqk/O0pmQYGBtDQ0KjWz/zcuXMoKCjApk2bpKbrVTTd0sbGBjY2NvDz80N0dDT8/f1x/Phxqf5Xen/LSxwSEX2qUlNTMX36dKmy0u3w8HDY2dlh/vz5MDMzw969e7Fx40Y0aNAAZmZm6Nu3r9Rxy5cvx48//ojVq1cjOzsb7dq1w7Zt2yr9A0Z5uAYUERERkZK9vXaNuro6zM3NIQgCCgsLUVxcLJnuVMrQ0BBGRkYoKCgAALRv3x6GhobYs2ePpAx4sx5TUlISevbsKTmuS5cu2Lt3L168eCETS9npWG/H1aBBA5iamkq1Xx4nJydcv35dak2rtLQ0REdHS9Xr3r07tLW18fPPP5e7zk9lU8MAwM3NDY0bN8by5ctlEh3Amw/fpX/B1dTUhJeXF+7fv481a9bI1I2NjcWhQ4fg6Ogo9Qa8pKQkTJgwASYmJvj5558rXKy7IjY2Nrh165ZMuaamJgDIjI7q0aMHiouLERERIVW+fft2iESiKhc+f5uqqipcXV1x8uRJ/PXXXzL7K7vHFY2u2rFjh0w9R0dHnDlzRjIVFHhz7/7973+X22bZ0VOvXr3CgQMHpOqVrp9VVps2bQBApv/dvn0bOjo6aNWqVYXXQkT0qWnatCnu3r1b7pednR2AN38MGT16NKKjo3Hr1i1cunQJe/bskXkhi5aWFubPn4+LFy8iISEBe/bskVomoLo4AoqIiIiojF9//bXct6DZ2tpWuIbT+/L29kajRo1ga2sLQ0ND3Lt3Dzt37oSTkxO0tbWRlZUFJycnuLq6onXr1tDS0sKFCxeQkJAgeSuempoa/P39ERgYiNGjR2PAgAFITU1FeHg4TExMpD5Mfv/99xg1ahQGDRqEkSNH4osvvkBKSgquX7+O58+f48iRIwCAAQMGoEuXLmjXrh309fWRkJCAkydPSt6uVpHvvvsOhw8fxnfffYcxY8ZAU1MT+/btQ5MmTSTT3IA3azj9z//8D2bPno1hw4ahf//+MDAwwLNnzxAXFwdbW1ssXLiwwvPo6elh48aNmDBhAoYMGYKvvvoK7dq1AwD88ccfOHr0KDp06CCpP2HCBNy5cwchISG4fv06+vTpAw0NDVy5cgVHjhyBubk5VqxYIamfnZ0Nb29vZGVlwdvbW7KQeylTU1Op9svTu3dvHD58GPfv35daA6s0ziVLlsDR0RGqqqoYMGAAnJ2dYWdnhzVr1uDp06cQi8WIj4/H2bNnMXbsWKkFx6tr1qxZuHTpEkaOHIkRI0agZcuWyMzMxO3bt3Hx4kX8/vvv5R6nra2Nzp07IzQ0FIWFhTA2NkZ8fHy5I7p8fX3x22+/wcPDA+7u7iguLsbOnTvRsmVLqZ95t27doKamhkmTJsHNzQ2vX79GZGQkDA0N8fLlS0m9Q4cOYffu3XBxcYGpqSlev36Nffv2lfv2wQsXLqBXr15cA4qIqJZjAoqIiIiojPXr15dbvmzZMoUloL755htER0dj27ZtyMnJwWeffQZPT09MmTIFwJu3hrm7uyM+Ph6nTp2CIAgwNTWVJJJKDRs2DBoaGggJCcGqVaugpaUFFxcX/Otf/5J6E1vLli1x4MABbNiwAYcOHUJGRgYMDAzQtm1b+Pj4SOp5enri3LlziI+PR0FBAZo0aYIZM2ZUueaDkZERwsPDsWTJEmzZsgX6+vpwc3ODkZER5s2bJ1V30KBBMDIywpYtWxAWFoaCggIYGxujU6dOGDZsWJX3ztraGtHR0QgLC0NsbCwOHz4MFRUVtGjRAhMmTJBKlqmqqmLt2rWIiopCZGQk1q1bh8LCQpiamsLHxwdeXl7Q0tKS1M/IyMA///wDAFi9erXMuYcOHVplAqpXr15o2LAhTpw4Ifl5AkCfPn3g6emJY8eO4ciRIxAEAQMGDICKigo2bdqE9evX4/jx4zh48CBMTEwwe/ZseHl5VXk/ytOoUSNERkZi48aNOH36NHbv3g19fX20bNkS/v7+lR67evVqLF68GLt27YIgCOjWrRtCQkJk1g9r3bo1wsLCsGzZMqxfvx6fffYZfH198fLlS6kEVIsWLbB+/XqsXbsWK1asQKNGjeDu7g4DAwPMnTtXUq9Lly5ISEjA8ePHkZKSAh0dHVhZWWHVqlVS/w6TkpLw119/SR1LRES1k0ioyeqBRERERERULRs3bsTBgwdx6tSpKhdWp3ezdOlSXL58GQcPHuQIKCKiWo5rQBERERERKdC4ceOQk5ODY8eOKTuUj0p6ejr279+PGTNmMPlERFQHcAQUEREREREREREpFEdAERERERERERGRQjEBRURERERERERECsUEFBERERERERERKRQTUEREREREREREpFBMQBERERERERERkUIxAUVERERERERERArFBBQRERERERERESkUE1BERERERERERKRQTEAREREREREREZFCMQFFREREREREREQKxQQUEREREREREREp1P8HsGpy2HIrAh0AAAAASUVORK5CYII=\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":24: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=df_sorted_area, palette='Greens')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import numpy as np\n", + "\n", + "# Criar gráfico de dispersão\n", + "plt.figure(figsize=(12, 8))\n", + "sns.scatterplot(data=df, x='AREAHA', y='CO2_emitido', color='blue', alpha=0.6)\n", + "\n", + "# Calcular a linha de tendência\n", + "x = df['AREAHA']\n", + "y = df['CO2_emitido']\n", + "m, b = np.polyfit(x, y, 1) # Ajustar uma linha de tendência (y = mx + b)\n", + "plt.plot(x, m*x + b, color='red', linewidth=2, label='Linha de Tendência')\n", + "\n", + "# Adicionar títulos e rótulos\n", + "plt.title('Relação entre Área Desmatada e Emissões de CO2', fontsize=16)\n", + "plt.xlabel('Área Desmatada (hectares)', fontsize=12)\n", + "plt.ylabel('Emissões de CO2 (toneladas)', fontsize=12)\n", + "plt.legend()\n", + "plt.tight_layout()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 801 + }, + "id": "V4nELkDH7DpW", + "outputId": "c24043ac-034b-46e5-fdad-b1724bb864ce" + }, + "execution_count": 205, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Calcular a correlação\n", + "correlacao = df['AREAHA'].corr(df['CO2_emitido'])\n", + "print(f'A correlação entre a área desmatada e CO2 emitido é: {correlacao}')\n", + "\n", + "# Interpretar a correlação\n", + "if correlacao > 0:\n", + " print(\"Correlação positiva: À medida que a área desmatada aumenta, as emissões de CO2 também tendem a aumentar.\")\n", + "elif correlacao < 0:\n", + " print(\"Correlação negativa: À medida que a área desmatada aumenta, as emissões de CO2 tendem a diminuir.\")\n", + "else:\n", + " print(\"Sem correlação: Não há relação clara entre as duas variáveis.\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "TeNn7MIA7Xl1", + "outputId": "faf6398b-7cdd-46c3-f24c-20883febeea3" + }, + "execution_count": 206, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "A correlação entre a área desmatada e CO2 emitido é: 0.1923958344678577\n", + "Correlação positiva: À medida que a área desmatada aumenta, as emissões de CO2 também tendem a aumentar.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# 5. Gráfico de calor: Correlação entre desmatamento e CO₂ emitido\n", + "plt.figure(figsize=(8,6))\n", + "correlation_matrix = df_integrado[['AREAHA', 'CO2_emitido']].corr()\n", + "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', linewidths=0.5)\n", + "plt.title('Correlação entre Desmatamento e CO₂ Emitido', fontsize=14)\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 551 + }, + "id": "qAKx9_Wo45Zm", + "outputId": "30835f3c-3b77-494d-ea24-84cc0c206947" + }, + "execution_count": 208, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Gráfico de dispersão: Relação entre área desmatada e CO₂ emitido\n", + "plt.figure(figsize=(10,6))\n", + "sns.scatterplot(x='AREAHA', y='CO2_emitido', data=df_integrado, hue='ANO', palette='coolwarm', s=100)\n", + "plt.title('Relação entre Área Desmatada e CO₂ Emitido', fontsize=14)\n", + "plt.xlabel('Área Desmatada (ha)', fontsize=12)\n", + "plt.ylabel('CO₂ Emitido (ton)', fontsize=12)\n", + "plt.legend(title='Ano')\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 577 + }, + "id": "rodHy-585rfa", + "outputId": "38c0b0ce-c726-4c3f-af74-2f685417db0d" + }, + "execution_count": 209, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Gráficos separados: Desmatamento e CO₂ por município para os 10 municípios mais desmatados\n", + "fig, axs = plt.subplots(2, 1, figsize=(12, 10))\n", + "\n", + "# Gráfico de barras para desmatamento nos 10 municípios mais desmatados\n", + "sns.barplot(x='MUNICIPIO', y='AREAHA', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[0], color='teal')\n", + "axs[0].set_title('Área Desmatada nos 10 Municípios (Bahia)', fontsize=14)\n", + "axs[0].set_xlabel('Município', fontsize=12)\n", + "axs[0].set_ylabel('Área Desmatada (ha)', fontsize=12)\n", + "axs[0].set_xticklabels(axs[0].get_xticklabels(), rotation=45)\n", + "\n", + "# Gráfico de barras para CO₂ nos 10 municípios mais desmatados\n", + "sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[1], color='orange')\n", + "axs[1].set_title('Emissões de CO₂ nos 10 Municípios (Bahia)', fontsize=14)\n", + "axs[1].set_xlabel('Município', fontsize=12)\n", + "axs[1].set_ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", + "axs[1].set_xticklabels(axs[1].get_xticklabels(), rotation=45)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ], + "metadata": { + "id": "nYQ-1hJwWP_m", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "8acdd901-1a1d-4bf5-8fb1-4fa024a9f0c1" + }, + "execution_count": 210, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":5: FutureWarning: \n", + "\n", + "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", + "\n", + " sns.barplot(x='MUNICIPIO', y='AREAHA', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[0], color='teal')\n", + ":9: UserWarning: FixedFormatter should only be used together with FixedLocator\n", + " axs[0].set_xticklabels(axs[0].get_xticklabels(), rotation=45)\n", + ":12: FutureWarning: \n", + "\n", + "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", + "\n", + " sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[1], color='orange')\n", + ":16: UserWarning: FixedFormatter should only be used together with FixedLocator\n", + " axs[1].set_xticklabels(axs[1].get_xticklabels(), rotation=45)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**CRIANDO UM BANCO DE DADOS**\n", + "\n", + "\n", + "Vamos começar lendo dados de um arquivo CSV e inserindo-os em uma tabela do banco de dados SQLite." + ], + "metadata": { + "id": "3cmdxAhsfFZG" + } + }, + { + "cell_type": "code", + "source": [ + "import sqlite3\n", + "import pandas as pd\n", + "from sqlalchemy import create_engine\n", + "#from google.colab import files\n", + "\n", + "# Passo 1: Fazer upload do arquivo CSV\n", + "# uploaded = files.upload()\n", + "\n", + "# Passo 2: Ler o CSV em um DataFrame\n", + "df = pd.read_csv('dados_integrados.csv')\n", + "\n", + "# Passo 3: Criar o engine para o SQLite\n", + "engine = create_engine('sqlite:///banco.db') #abre e fecha conexões\n", + "\n", + "# Passo 4: Inserir o DataFrame no banco de dados SQLite\n", + "df.to_sql('desmatamento_co2', con=engine, if_exists='replace', index=False)\n", + "\n", + "print(\"Dados inseridos com sucesso no SQLite!\")\n", + "\n", + "# Passo 5: Consultar o banco de dados\n", + "conn = sqlite3.connect('banco.db')\n", + "cursor = conn.cursor()\n", + "\n", + "# Fazer uma consulta\n", + "cursor.execute(\"SELECT * FROM desmatamento_co2 LIMIT 5\")\n", + "rows = cursor.fetchall()\n", + "\n", + "# Mostrar os resultados\n", + "for row in rows:\n", + " print(row)\n", + "\n", + "# Fechar a conexão\n", + "conn.close()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "utOkFSAn2NNG", + "outputId": "e7c05bcd-596d-407c-b668-eea82a8cba10" + }, + "execution_count": 139, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Dados inseridos com sucesso no SQLite!\n", + "('Cerrado', 'BAHIA', 'são desidério', 12.52, 'agriculture', 3159579, 2021)\n", + "('Cerrado', 'BAHIA', 'luís eduardo magalhães', 4.83, 'agriculture', 654262, 2021)\n", + "('Cerrado', 'BAHIA', 'riachão das neves', 7.41, 'agriculture', 761963, 2021)\n", + "('Cerrado', 'BAHIA', 'baianópolis', 2.91, 'agriculture', 1700892, 2021)\n", + "('Cerrado', 'BAHIA', 'santa rita de cássia', 2.3, 'agriculture', 998700, 2021)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**CONSIDERAÇÔES FINAIS**\n", + "\n", + "\n", + "A análise inicial dos dados revelou que, apesar dos esforços de preservação, o desmatamento em várias regiões da Bahia aumentou significativamente nos últimos anos. Isso ocorre especialmente em áreas de biomas sensíveis, como a Caatinga e o Cerrado, que são biomas predominantes no estado.\n", + "\n", + "Esse aumento no desmatamento está intimamente relacionado ao aumento das emissões de CO₂, um dos principais gases responsáveis pelo efeito estufa. O impacto negativo do desmatamento é agravado pelo fato de que essas áreas desmatadas são substituídas por atividades que emitem ainda mais CO₂, como a agropecuária.\n", + "\n", + "Entretanto, as taxas de desmatamento e emissões de CO₂ apresentaram flutuações durante a pandemia de COVID-19, o que levanta questões sobre o papel de eventos globais e econômicos na redução temporária das atividades humanas e como isso afetou o meio ambiente local.\n", + "\n", + "Os resultados da análise reforçam a correlação direta entre desmatamento e emissões de CO₂ no estado da Bahia.\n", + "\n", + "Regiões com maiores áreas desmatadas apresentaram emissões de carbono proporcionalmente mais elevadas, principalmente em áreas destinadas à agropecuária.\n", + "\n", + "- A pandemia trouxe uma breve redução nas emissões, mas o desmatamento continuou a crescer, destacando a necessidade de políticas públicas mais robustas e eficientes para combater essa tendência.\n", + "\n", + "- A expansão agrícola é um dos principais motores do desmatamento e das emissões de CO₂ na Bahia.\n", + "\n", + "- Apesar da breve redução de emissões durante a pandemia, o desmatamento persistiu, o que sugere que fatores locais (como a pressão econômica) têm um papel crucial no aumento da degradação ambiental.\n", + "\n", + "- Medidas de mitigação mais efetivas, incluindo a fiscalização e preservação de áreas naturais, são fundamentais para controlar as emissões de carbono derivadas do desmatamento." + ], + "metadata": { + "id": "fdQmOKTrY-XL" + } + } + ] +} \ No newline at end of file From f0d0722cf53e8cbf6e36496444f0262f49fb40de Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 17:24:25 -0300 Subject: [PATCH 62/90] Rename projeto_final_paloma_anne.ipynb to material/projeto_final_paloma_anne.ipynb --- .../projeto_final_paloma_anne.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename projeto_final_paloma_anne.ipynb => material/projeto_final_paloma_anne.ipynb (99%) diff --git a/projeto_final_paloma_anne.ipynb b/material/projeto_final_paloma_anne.ipynb similarity index 99% rename from projeto_final_paloma_anne.ipynb rename to material/projeto_final_paloma_anne.ipynb index b43b925..b5a88b7 100644 --- a/projeto_final_paloma_anne.ipynb +++ b/material/projeto_final_paloma_anne.ipynb @@ -2792,4 +2792,4 @@ } } ] -} \ No newline at end of file +} From 204337b1ba8467b0a613caa58e7ea1c48e2225e4 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 17:25:02 -0300 Subject: [PATCH 63/90] Rename projeto_final_paloma_anne.ipynb to projeto_final_paloma_anne.ipynb --- {material => dados}/projeto_final_paloma_anne.ipynb | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename {material => dados}/projeto_final_paloma_anne.ipynb (100%) diff --git a/material/projeto_final_paloma_anne.ipynb b/dados/projeto_final_paloma_anne.ipynb similarity index 100% rename from material/projeto_final_paloma_anne.ipynb rename to dados/projeto_final_paloma_anne.ipynb From 267c192e23bea8d0e266f49933e4dd569e7dfefd Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 17:25:54 -0300 Subject: [PATCH 64/90] Add files via upload --- dados/dados_integrados.csv | 4309 ++++++++++++++++++++++++++++++++++++ 1 file changed, 4309 insertions(+) create mode 100644 dados/dados_integrados.csv diff --git a/dados/dados_integrados.csv b/dados/dados_integrados.csv new file mode 100644 index 0000000..e8f2b85 --- /dev/null +++ b/dados/dados_integrados.csv @@ -0,0 +1,4309 @@ +BIOMA,ESTADO,MUNICIPIO,AREAHA,VPRESSAO,CO2_emitido,ANO +Cerrado,BAHIA,são desidério,12.52,agriculture,3159579,2021 +Cerrado,BAHIA,luís eduardo magalhães,4.83,agriculture,654262,2021 +Cerrado,BAHIA,riachão das neves,7.41,agriculture,761963,2021 +Cerrado,BAHIA,baianópolis,2.91,agriculture,1700892,2021 +Cerrado,BAHIA,santa rita de cássia,2.3,agriculture,998700,2021 +Cerrado,BAHIA,santa rita de cássia,2.48,agriculture,998700,2021 +Cerrado,BAHIA,riachão das neves,25.49,agriculture,670183,2022 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+Cerrado,BAHIA,cotegipe,1.58,agriculture,292547,2021 +Cerrado,BAHIA,cotegipe,2.98,agriculture,292547,2021 From 43c90098ab090865ba324f40f0cde450e5bf1876 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 18:32:25 -0300 Subject: [PATCH 65/90] Update projeto_final_paloma_anne.ipynb --- dados/projeto_final_paloma_anne.ipynb | 58 +-------------------------- 1 file changed, 1 insertion(+), 57 deletions(-) diff --git a/dados/projeto_final_paloma_anne.ipynb b/dados/projeto_final_paloma_anne.ipynb index b5a88b7..336d239 100644 --- a/dados/projeto_final_paloma_anne.ipynb +++ b/dados/projeto_final_paloma_anne.ipynb @@ -2141,63 +2141,7 @@ "id": "9yAQtchPsAC4" } }, - { - "cell_type": "code", - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "# Carregar os dados\n", - "df = pd.read_csv('dados_integrados.csv')\n", - "\n", - "# Calcular média e desvio padrão\n", - "media = df['AREAHA'].mean()\n", - "desvio_padrao = df['AREAHA'].std()\n", - "\n", - "media = df['CO2_emitido'].mean()\n", - "desvio_padrao = df['CO2_emitido'].std()\n", - "\n", - "\n", - "# Calcular a linha de tendência\n", - "x = df['AREAHA']\n", - "y = df['CO2_emitido']\n", - "m, b = np.polyfit(x, y, 1)\n", - "\n", - "# Calcular resíduos\n", - "residuos = y - (m * x + b)\n", - "desvio_padrao = np.std(residuos)\n", - "\n", - "# Definir limites para outliers (por exemplo, 2 desvios padrão)\n", - "limite_inferior = media - 2 * desvio_padrao\n", - "limite_superior = media + 2 * desvio_padrao\n", - "\n", - "# Identificar outliers\n", - "outliers = np.where(np.abs(residuos) > 2 * desvio_padrao)[0]\n", - "\n", - "# Identificar outliers\n", - "outliers = df[(df['AREAHA'] < limite_inferior) | (df['AREAHA'] > limite_superior)]\n", - "\n", - "outliers = df[(df['CO2_emitido'] < limite_inferior) | (df['CO2_emitido'] > limite_superior)]\n", - "\n", - "\n", - "# Filtrar e exibir outliers\n", - "\n", - "print(\"Outliers identificados:\")\n", - "print(outliers)\n", - "\n", - "# Criar um DataFrame sem outliers\n", - "df_sem_outliers = df[(df['AREAHA'] >= limite_inferior) & (df['AREAHA'] <= limite_superior)]\n", - "df_sem_outliers = df[(df['CO2_emitido'] >= limite_inferior) & (df['CO2_emitido'] <= limite_superior)]\n", - "\n", - "# Salvar os DataFrames em arquivos CSV\n", - "outliers.to_csv('outliers.csv', index=False)\n", - "df_sem_outliers.to_csv('dados_sem_outliers.csv', index=False)\n", - "\n", - "# Exibir mensagem de sucesso\n", - "print(\"Outliers salvos em 'outliers.csv'. Dados sem outliers salvos em 'dados_sem_outliers.csv'.\")" - ], + "metadata": { "id": "00MNkVpeNZv7" }, From fa15de541d9c0974a8cbd8e3058ad62894cbc984 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 18:32:47 -0300 Subject: [PATCH 66/90] Delete dados/projeto_final_paloma_anne.ipynb --- dados/projeto_final_paloma_anne.ipynb | 2739 ------------------------- 1 file changed, 2739 deletions(-) delete mode 100644 dados/projeto_final_paloma_anne.ipynb diff --git a/dados/projeto_final_paloma_anne.ipynb b/dados/projeto_final_paloma_anne.ipynb deleted file mode 100644 index 336d239..0000000 --- a/dados/projeto_final_paloma_anne.ipynb +++ /dev/null @@ -1,2739 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "provenance": [], - "include_colab_link": true - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "view-in-github", - "colab_type": "text" - }, - "source": [ - "\"Open" - ] - }, - { - "cell_type": "markdown", - "source": [ - "**Projeto Final de Análise de Dados**\n", - "\n", - "Desenvolvido por:\n", - "\n", - "Paloma Avena palomaavena@gmail.com\n", - "\n", - "Anne Ribeiro anne.asribeiro@gmail.com\n", - "\n" - ], - "metadata": { - "id": "4nPdko9j_PEt" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Contexto**\n", - "\n", - "Nos últimos anos, a questão do desmatamento e suas consequências ambientais têm se tornado uma preocupação crescente. A Bahia, por ser um estado de grande diversidade biológica, possui áreas significativas de florestas e biomas que desempenham um papel vital na regulação climática. O desmatamento pode impactar diretamente as emissões de dióxido de carbono (CO₂), contribuindo para o aquecimento global e alterações climáticas." - ], - "metadata": { - "id": "WIMvI1tp_XVU" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Etapas do projeto:**\n", - "\n", - "\n", - "1. Selecionar a Base de Dados\n", - "2. Definir Objetivo e Perguntas\n", - "3. Realizar Análise Exploratória\n", - "4. Gerar Base Final\n", - "5. Criar Visualizações no Tableau\n", - "6. Preparar Apresentação Final\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], - "metadata": { - "id": "uk5GxJpZ_ouB" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Bases de dados **\n", - "\n", - "Base 1: MapBiomas Alertas\n", - "https://plataforma.alerta.mapbiomas.org/downloads\n", - "\n", - "Dados de áreas(ha) desmatada por Municipío, Fator de pressão e Biomas no estado da Bahia.\n", - "\n", - "Base 2: Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)\n", - "https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA..\n", - "\n", - "\n", - "Dados de CO2 em toneladas por Municípios e Biomas de Mudanças e usos do solo e floresta." - ], - "metadata": { - "id": "vqYQ20MD_orK" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Objetivo Geral:**\n", - "\n", - "Este projeto tem como objetivo analisar os dados de desmatamento e emissões de CO₂ no estado da Bahia entre 2019 e 2022, a fim de entender como o desmatamento tem impactado as emissões de carbono no período da Pandemia.\n" - ], - "metadata": { - "id": "ZypjoEDB_ooh" - } - }, - { - "cell_type": "markdown", - "source": [ - "**As perguntas norteadoras deste projeto são:**\n", - "\n", - "1. Como o desmatamento na Bahia impacta as taxas de emissão de CO₂?\n", - "2. Qual a taxa de desmatamento nos municípios e biomas da Bahia entre 2019 e 2022?\n", - "3. Existe uma correlação entre as áreas desmatadas e o aumento das emissões de CO₂?\n", - "4. Como a pandemia afetou as taxas de desmatamento e emissões de CO₂?\n" - ], - "metadata": { - "id": "mrO_v4O1_olp" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Desafios:**\n", - "\n", - "1. Identificar regiões com maior desmatamento e correlacionar com dados de emissões.\n", - "2. Avaliar se as políticas públicas e ações de preservação tiveram impacto nos índices de desmatamento durante o período estudado.\n", - "3. Analisar o efeito da pandemia nas taxas de desmatamento e emissões.\n", - "\n", - "**Direcionamentos:**\n", - "\n", - "Para abordar esses desafios, criamos uma base de dados unificada com as informações de desmatamento e emissões de CO₂.\n", - "\n", - "Utilizamos técnicas de análise de dados para identificar padrões e correlações entre as variáveis:\n", - "\n", - "1. Análise temporal: Avaliamos a evolução do desmatamento e das emissões ao longo dos anos, de 2019 a 2022. Os resultados mostram picos em anos específicos, e um declínio temporário durante o período da pandemia, seguido de um aumento substancial em 2021.\n", - "\n", - "2. Correlações regionais: Mapeamos as emissões de CO₂ e áreas desmatadas por município, identificando as regiões da Bahia mais afetadas. Descobrimos que áreas como o Oeste da Bahia, caracterizadas pelo agronegócio, registram as maiores emissões.\n", - "\n", - "3. Modelos preditivos: Aplicamos regressão para prever o impacto do aumento do desmatamento nas emissões de CO₂, destacando como a degradação ambiental se traduz diretamente em maiores emissões de gases de efeito estufa.\n", - "\n", - "4. Impacto da pandemia: Durante a pandemia, observamos uma queda temporária nas emissões devido à redução das atividades econômicas, mas o desmatamento continuou em algumas regiões, mostrando a resiliência desse problema mesmo em crises globais." - ], - "metadata": { - "id": "RNIrgkoWZRWr" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Ferramentas Utilizadas:**\n", - "\n", - "Banco de dados\n", - "Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc.\n", - "Tableau: Para criar as visualizações finais e apresentar os insights gerados.\n", - "GitHub: Para versionamento do projeto e documentação.\n", - "Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem.\n", - "\n" - ], - "metadata": { - "id": "VV5GKSMc_oia" - } - }, - { - "cell_type": "markdown", - "source": [ - "Instalando o **Python**: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador.\n", - "\n", - "Instalando o **Visual Studio Code (VS Code)**: Acesse o site (https://code.visualstudio.com/).\n", - "\n", - "**Extensões** que irão tornar o processo de desenvolvimento mais simples e intuitivo:\n", - "\n", - "SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos SQLite (.db), executar consultas SQL, visualizar dados e até mesmo criar tabelas e colunas diretamente no VS Code.\n", - "\n", - "SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros.\n", - "\n", - "\n", - "**Bibliotecas e módulos:**\n", - "\n", - "sqlite3\n", - "csv\n", - "Pandas\n", - "Seaborn\n", - "Matplotlib\n" - ], - "metadata": { - "id": "n33nNlCqgZFC" - } - }, - { - "cell_type": "markdown", - "source": [ - "\n", - "**Análise exploratória de dados**\n", - "\n" - ], - "metadata": { - "id": "miL-Xxpd_niS" - } - }, - { - "cell_type": "markdown", - "source": [ - "**1. DADOS DE CO2 - SEEG**\n", - "\n", - "\n", - "Vamos utilizar a coluna 'categoria'= municipio e total de co2 emitido em tonelada por vetor de emissão, no caso 'Mudança de Uso da Terra e Floresta' dos anos de 2019 a 2022.\n" - ], - "metadata": { - "id": "c48LiFSG_Fft" - } - }, - { - "cell_type": "markdown", - "source": [ - "Coleta de dados CO2 Bahia, SEEG:\n", - "\n", - "\n", - "link: https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-bahia&_gl=1*gambxz*_ga*MTk5NTgxNjM5MS4xNzI1NjQzNTE1*_ga_XZWSWEJDWQ*MTcyNTY0MzUxNS4xLjAuMTcyNTY0MzUxNS4wLjAuMA..blob:https://plataforma.seeg.eco.br/845fd445-2d02-43a9-bb87-14435bfb6c1b\n", - "\n", - "\n" - ], - "metadata": { - "id": "vo84te4Y7n-P" - } - }, - { - "cell_type": "markdown", - "source": [ - "1. Importando os dados das planilhas" - ], - "metadata": { - "id": "rfcw5b-JebFU" - } - }, - { - "cell_type": "code", - "source": [ - "# 1. Importando os dados das planilhas\n", - "\n", - "# Primeiro, instale a biblioteca pandas se ainda não estiver instalada\n", - "!pip install pandas\n", - "\n", - "# Importando os dados\n", - "import pandas as pd\n", - "import csv\n", - "\n", - "# Carregando os dois arquivos CSV\n", - "# Caso esteja rodando localmente, altere o caminho dos arquivos, no Colab, você pode fazer upload dos arquivos e colocar o nome do arquivo abaixo:\n", - "\n", - "df1 = pd.read_csv('SEEG.csv')\n", - "\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "print(df1.head())\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "dxaI-_ekeF9W", - "outputId": "a025f4a5-55b8-4755-932a-7efe98edae62" - }, - "execution_count": 34, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.2.2)\n", - "Requirement already satisfied: numpy>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from pandas) (1.26.4)\n", - "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas) (2.8.2)\n", - "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", - "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", - "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n", - " Categoria 1990 1991 1992 \\\n", - "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", - "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", - "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", - "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", - "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", - "\n", - " 1993 1994 1995 1996 1997 \\\n", - "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", - "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", - "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", - "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", - "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", - "\n", - " 1998 ... 2013 2014 2015 2016 \\\n", - "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", - "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", - "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", - "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", - "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", - "\n", - " 2017 2018 2019 2020 2021 \\\n", - "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", - "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", - "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", - "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", - "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", - "\n", - " 2022 \n", - "0 2729422 \n", - "1 2432263 \n", - "2 1734316 \n", - "3 1473135 \n", - "4 996163 \n", - "\n", - "[5 rows x 34 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "# 2.\n", - "df1.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "248fsSuvOBAa", - "outputId": "a0b28c07-7ef6-4f4e-d3b6-4f04c3eb63fd" - }, - "execution_count": 35, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 31 entries, 0 to 30\n", - "Data columns (total 34 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Categoria 31 non-null object \n", - " 1 1990 31 non-null float64\n", - " 2 1991 31 non-null float64\n", - " 3 1992 31 non-null float64\n", - " 4 1993 31 non-null float64\n", - " 5 1994 31 non-null float64\n", - " 6 1995 31 non-null float64\n", - " 7 1996 31 non-null float64\n", - " 8 1997 31 non-null float64\n", - " 9 1998 31 non-null float64\n", - " 10 1999 31 non-null float64\n", - " 11 2000 31 non-null float64\n", - " 12 2001 31 non-null float64\n", - " 13 2002 31 non-null float64\n", - " 14 2003 31 non-null float64\n", - " 15 2004 31 non-null float64\n", - " 16 2005 31 non-null float64\n", - " 17 2006 31 non-null float64\n", - " 18 2007 31 non-null float64\n", - " 19 2008 31 non-null float64\n", - " 20 2009 31 non-null float64\n", - " 21 2010 31 non-null float64\n", - " 22 2011 31 non-null float64\n", - " 23 2012 31 non-null float64\n", - " 24 2013 31 non-null float64\n", - " 25 2014 31 non-null float64\n", - " 26 2015 31 non-null float64\n", - " 27 2016 31 non-null float64\n", - " 28 2017 31 non-null float64\n", - " 29 2018 31 non-null float64\n", - " 30 2019 31 non-null float64\n", - " 31 2020 31 non-null float64\n", - " 32 2021 31 non-null float64\n", - " 33 2022 31 non-null int64 \n", - "dtypes: float64(32), int64(1), object(1)\n", - "memory usage: 8.4+ KB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Selecionar as colunas específicas\n", - "\n", - "df_1 = df1[['Categoria','2019', '2020', '2021', '2022']]\n", - "print(df_1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "7cGDNRgEd0wi", - "outputId": "73767348-cfdd-48ce-d5fd-9a51d6552542" - }, - "execution_count": 58, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria 2019 2020 2021 \\\n", - "0 São Desidério (BA) 2.024108e+06 3.091203e+06 3.159580e+06 \n", - "1 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 2.299738e+06 \n", - "2 Jaborandi (BA) 1.706968e+06 1.744004e+06 2.051921e+06 \n", - "3 Correntina (BA) 1.545573e+06 1.060526e+06 1.585476e+06 \n", - "4 Barreiras (BA) 1.568927e+06 1.179766e+06 9.583063e+05 \n", - "5 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 7.619633e+05 \n", - "6 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 9.987006e+05 \n", - "7 Jequié (BA) 2.491692e+05 1.862657e+05 1.639264e+05 \n", - "8 Encruzilhada (BA) 4.038959e+05 4.516205e+05 5.873154e+05 \n", - "9 Baianópolis (BA) 6.074368e+05 7.908150e+05 1.700892e+06 \n", - "10 Valença (BA) 2.476738e+05 4.276377e+05 1.953325e+05 \n", - "11 Cocos (BA) 9.593941e+05 1.218387e+06 1.229645e+06 \n", - "12 Belmonte (BA) 3.904032e+05 3.505588e+05 3.314850e+05 \n", - "13 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 6.542620e+05 \n", - "14 Barra (BA) 2.260111e+05 1.397781e+05 7.905882e+04 \n", - "15 Cotegipe (BA) 3.311638e+05 5.599601e+05 2.925473e+05 \n", - "16 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 7.243660e+04 \n", - "17 Itagibá (BA) 1.216756e+05 7.210208e+04 1.114533e+05 \n", - "18 Itapetinga (BA) 5.707418e+04 4.613513e+04 2.072777e+04 \n", - "19 Iguaí (BA) 8.222719e+04 1.274713e+05 1.559627e+05 \n", - "20 Maraú (BA) 8.020749e+04 1.701269e+05 1.032113e+05 \n", - "21 Ibicuí (BA) 1.696392e+04 3.524000e+04 2.780070e+04 \n", - "22 Guaratinga (BA) 2.117080e+05 2.516566e+05 1.717426e+05 \n", - "23 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 5.956842e+04 \n", - "24 Camamu (BA) 2.214714e+05 4.347414e+05 1.635482e+05 \n", - "25 Itambé (BA) 1.001077e+05 1.444300e+05 6.526349e+04 \n", - "26 Dário Meira (BA) 9.440196e+04 9.250477e+04 1.017979e+05 \n", - "27 Igrapiúna (BA) 2.576941e+05 3.782366e+05 1.486217e+05 \n", - "28 Ilhéus (BA) 1.588721e+05 1.912059e+05 1.317151e+05 \n", - "29 Itarantim (BA) 3.847215e+04 6.031930e+04 1.040533e+04 \n", - "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 \n", - "\n", - " 2022 \n", - "0 2729422 \n", - "1 2432263 \n", - "2 1734316 \n", - "3 1473135 \n", - "4 996163 \n", - "5 670183 \n", - "6 569631 \n", - "7 498001 \n", - "8 414662 \n", - "9 413632 \n", - "10 378871 \n", - "11 367625 \n", - "12 354868 \n", - "13 343098 \n", - "14 312169 \n", - "15 297663 \n", - "16 292758 \n", - "17 288483 \n", - "18 285382 \n", - "19 277970 \n", - "20 275953 \n", - "21 245755 \n", - "22 243882 \n", - "23 238334 \n", - "24 232571 \n", - "25 227632 \n", - "26 217077 \n", - "27 210971 \n", - "28 209209 \n", - "29 203154 \n", - "30 13978140 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Altera os nomes das colunas\n", - "\n", - "df_1.columns = ['Municípios', '2019', '2020', '2021', '2022']\n", - "print(df_1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "L6d5VRWSrfKE", - "outputId": "44f2bac5-34cf-447a-adde-1bdf9ce36523" - }, - "execution_count": 60, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 2021 \\\n", - "0 São Desidério (BA) 2.024108e+06 3.091203e+06 3.159580e+06 \n", - "1 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 2.299738e+06 \n", - "2 Jaborandi (BA) 1.706968e+06 1.744004e+06 2.051921e+06 \n", - "3 Correntina (BA) 1.545573e+06 1.060526e+06 1.585476e+06 \n", - "4 Barreiras (BA) 1.568927e+06 1.179766e+06 9.583063e+05 \n", - "5 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 7.619633e+05 \n", - "6 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 9.987006e+05 \n", - "7 Jequié (BA) 2.491692e+05 1.862657e+05 1.639264e+05 \n", - "8 Encruzilhada (BA) 4.038959e+05 4.516205e+05 5.873154e+05 \n", - "9 Baianópolis (BA) 6.074368e+05 7.908150e+05 1.700892e+06 \n", - "10 Valença (BA) 2.476738e+05 4.276377e+05 1.953325e+05 \n", - "11 Cocos (BA) 9.593941e+05 1.218387e+06 1.229645e+06 \n", - "12 Belmonte (BA) 3.904032e+05 3.505588e+05 3.314850e+05 \n", - "13 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 6.542620e+05 \n", - "14 Barra (BA) 2.260111e+05 1.397781e+05 7.905882e+04 \n", - "15 Cotegipe (BA) 3.311638e+05 5.599601e+05 2.925473e+05 \n", - "16 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 7.243660e+04 \n", - "17 Itagibá (BA) 1.216756e+05 7.210208e+04 1.114533e+05 \n", - "18 Itapetinga (BA) 5.707418e+04 4.613513e+04 2.072777e+04 \n", - "19 Iguaí (BA) 8.222719e+04 1.274713e+05 1.559627e+05 \n", - "20 Maraú (BA) 8.020749e+04 1.701269e+05 1.032113e+05 \n", - "21 Ibicuí (BA) 1.696392e+04 3.524000e+04 2.780070e+04 \n", - "22 Guaratinga (BA) 2.117080e+05 2.516566e+05 1.717426e+05 \n", - "23 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 5.956842e+04 \n", - "24 Camamu (BA) 2.214714e+05 4.347414e+05 1.635482e+05 \n", - "25 Itambé (BA) 1.001077e+05 1.444300e+05 6.526349e+04 \n", - "26 Dário Meira (BA) 9.440196e+04 9.250477e+04 1.017979e+05 \n", - "27 Igrapiúna (BA) 2.576941e+05 3.782366e+05 1.486217e+05 \n", - "28 Ilhéus (BA) 1.588721e+05 1.912059e+05 1.317151e+05 \n", - "29 Itarantim (BA) 3.847215e+04 6.031930e+04 1.040533e+04 \n", - "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 \n", - "\n", - " 2022 \n", - "0 2729422 \n", - "1 2432263 \n", - "2 1734316 \n", - "3 1473135 \n", - "4 996163 \n", - "5 670183 \n", - "6 569631 \n", - "7 498001 \n", - "8 414662 \n", - "9 413632 \n", - "10 378871 \n", - "11 367625 \n", - "12 354868 \n", - "13 343098 \n", - "14 312169 \n", - "15 297663 \n", - "16 292758 \n", - "17 288483 \n", - "18 285382 \n", - "19 277970 \n", - "20 275953 \n", - "21 245755 \n", - "22 243882 \n", - "23 238334 \n", - "24 232571 \n", - "25 227632 \n", - "26 217077 \n", - "27 210971 \n", - "28 209209 \n", - "29 203154 \n", - "30 13978140 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remover informações de estado (como \"(BA)\") de 'Municípios'\n", - "df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n", - "\n", - "print(df_1)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "aYveX-t4rJBb", - "outputId": "6bb2e3f3-4552-442d-bedd-a02748cfba5b" - }, - "execution_count": 61, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 2021 2022\n", - "0 São Desidério 2.024108e+06 3.091203e+06 3.159580e+06 2729422\n", - "1 Formosa do Rio Preto 4.220327e+06 3.073766e+06 2.299738e+06 2432263\n", - "2 Jaborandi 1.706968e+06 1.744004e+06 2.051921e+06 1734316\n", - "3 Correntina 1.545573e+06 1.060526e+06 1.585476e+06 1473135\n", - "4 Barreiras 1.568927e+06 1.179766e+06 9.583063e+05 996163\n", - "5 Riachão das Neves 5.801730e+05 1.085054e+06 7.619633e+05 670183\n", - "6 Santa Rita de Cássia 6.947971e+05 8.595094e+05 9.987006e+05 569631\n", - "7 Jequié 2.491692e+05 1.862657e+05 1.639264e+05 498001\n", - "8 Encruzilhada 4.038959e+05 4.516205e+05 5.873154e+05 414662\n", - "9 Baianópolis 6.074368e+05 7.908150e+05 1.700892e+06 413632\n", - "10 Valença 2.476738e+05 4.276377e+05 1.953325e+05 378871\n", - "11 Cocos 9.593941e+05 1.218387e+06 1.229645e+06 367625\n", - "12 Belmonte 3.904032e+05 3.505588e+05 3.314850e+05 354868\n", - "13 Luís Eduardo Magalhães 8.004357e+05 1.523413e+06 6.542620e+05 343098\n", - "14 Barra 2.260111e+05 1.397781e+05 7.905882e+04 312169\n", - "15 Cotegipe 3.311638e+05 5.599601e+05 2.925473e+05 297663\n", - "16 Ibirapitanga 8.620563e+04 2.963629e+05 7.243660e+04 292758\n", - "17 Itagibá 1.216756e+05 7.210208e+04 1.114533e+05 288483\n", - "18 Itapetinga 5.707418e+04 4.613513e+04 2.072777e+04 285382\n", - "19 Iguaí 8.222719e+04 1.274713e+05 1.559627e+05 277970\n", - "20 Maraú 8.020749e+04 1.701269e+05 1.032113e+05 275953\n", - "21 Ibicuí 1.696392e+04 3.524000e+04 2.780070e+04 245755\n", - "22 Guaratinga 2.117080e+05 2.516566e+05 1.717426e+05 243882\n", - "23 Nilo Peçanha 9.027649e+04 1.546260e+05 5.956842e+04 238334\n", - "24 Camamu 2.214714e+05 4.347414e+05 1.635482e+05 232571\n", - "25 Itambé 1.001077e+05 1.444300e+05 6.526349e+04 227632\n", - "26 Dário Meira 9.440196e+04 9.250477e+04 1.017979e+05 217077\n", - "27 Igrapiúna 2.576941e+05 3.782366e+05 1.486217e+05 210971\n", - "28 Ilhéus 1.588721e+05 1.912059e+05 1.317151e+05 209209\n", - "29 Itarantim 3.847215e+04 6.031930e+04 1.040533e+04 203154\n", - "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 13978140\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":2: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Converta todas as colunas de anos para inteiro\n", - "\n", - "df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int)\n", - "\n", - "print(df_1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "6toQkSKTetTx", - "outputId": "efdc78f2-2b17-4596-809b-709544fb5b72" - }, - "execution_count": 65, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 2021 2022\n", - "0 São Desidério 2024107 3091203 3159579 2729422\n", - "1 Formosa do Rio Preto 4220327 3073766 2299737 2432263\n", - "2 Jaborandi 1706967 1744004 2051920 1734316\n", - "3 Correntina 1545572 1060525 1585476 1473135\n", - "4 Barreiras 1568927 1179766 958306 996163\n", - "5 Riachão das Neves 580173 1085054 761963 670183\n", - "6 Santa Rita de Cássia 694797 859509 998700 569631\n", - "7 Jequié 249169 186265 163926 498001\n", - "8 Encruzilhada 403895 451620 587315 414662\n", - "9 Baianópolis 607436 790814 1700892 413632\n", - "10 Valença 247673 427637 195332 378871\n", - "11 Cocos 959394 1218387 1229644 367625\n", - "12 Belmonte 390403 350558 331485 354868\n", - "13 Luís Eduardo Magalhães 800435 1523413 654262 343098\n", - "14 Barra 226011 139778 79058 312169\n", - "15 Cotegipe 331163 559960 292547 297663\n", - "16 Ibirapitanga 86205 296362 72436 292758\n", - "17 Itagibá 121675 72102 111453 288483\n", - "18 Itapetinga 57074 46135 20727 285382\n", - "19 Iguaí 82227 127471 155962 277970\n", - "20 Maraú 80207 170126 103211 275953\n", - "21 Ibicuí 16963 35239 27800 245755\n", - "22 Guaratinga 211708 251656 171742 243882\n", - "23 Nilo Peçanha 90276 154625 59568 238334\n", - "24 Camamu 221471 434741 163548 232571\n", - "25 Itambé 100107 144429 65263 227632\n", - "26 Dário Meira 94401 92504 101797 217077\n", - "27 Igrapiúna 257694 378236 148621 210971\n", - "28 Ilhéus 158872 191205 131715 209209\n", - "29 Itarantim 38472 60319 10405 203154\n", - "30 Outros 15546451 13047762 13420866 13978140\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":3: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int)\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Contagem de valores nulos em cada coluna\n", - "\n", - "nulos_por_coluna1 = df_1.isnull().sum()\n", - "print(nulos_por_coluna1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "4MuBo8vKgg6H", - "outputId": "f97af53b-c533-461c-a120-02c63b956265" - }, - "execution_count": 66, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Municípios 0\n", - "2019 0\n", - "2020 0\n", - "2021 0\n", - "2022 0\n", - "dtype: int64\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remove linhas duplicadas\n", - "\n", - "df_sem_duplicatas1 = df_1.drop_duplicates()\n", - "print(df_sem_duplicatas1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "1ugZRlahiJ9B", - "outputId": "3acbe939-6b7a-49c2-fe03-52fd28590895" - }, - "execution_count": 67, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 2021 2022\n", - "0 São Desidério 2024107 3091203 3159579 2729422\n", - "1 Formosa do Rio Preto 4220327 3073766 2299737 2432263\n", - "2 Jaborandi 1706967 1744004 2051920 1734316\n", - "3 Correntina 1545572 1060525 1585476 1473135\n", - "4 Barreiras 1568927 1179766 958306 996163\n", - "5 Riachão das Neves 580173 1085054 761963 670183\n", - "6 Santa Rita de Cássia 694797 859509 998700 569631\n", - "7 Jequié 249169 186265 163926 498001\n", - "8 Encruzilhada 403895 451620 587315 414662\n", - "9 Baianópolis 607436 790814 1700892 413632\n", - "10 Valença 247673 427637 195332 378871\n", - "11 Cocos 959394 1218387 1229644 367625\n", - "12 Belmonte 390403 350558 331485 354868\n", - "13 Luís Eduardo Magalhães 800435 1523413 654262 343098\n", - "14 Barra 226011 139778 79058 312169\n", - "15 Cotegipe 331163 559960 292547 297663\n", - "16 Ibirapitanga 86205 296362 72436 292758\n", - "17 Itagibá 121675 72102 111453 288483\n", - "18 Itapetinga 57074 46135 20727 285382\n", - "19 Iguaí 82227 127471 155962 277970\n", - "20 Maraú 80207 170126 103211 275953\n", - "21 Ibicuí 16963 35239 27800 245755\n", - "22 Guaratinga 211708 251656 171742 243882\n", - "23 Nilo Peçanha 90276 154625 59568 238334\n", - "24 Camamu 221471 434741 163548 232571\n", - "25 Itambé 100107 144429 65263 227632\n", - "26 Dário Meira 94401 92504 101797 217077\n", - "27 Igrapiúna 257694 378236 148621 210971\n", - "28 Ilhéus 158872 191205 131715 209209\n", - "29 Itarantim 38472 60319 10405 203154\n", - "30 Outros 15546451 13047762 13420866 13978140\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Transformar os dados para um formato longo (melt)\n", - "\n", - "df_sem_duplicatas1 = pd.melt(df_1, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido')\n", - "\n", - "print(df_sem_duplicatas1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "LZkN9n9JkTVG", - "outputId": "b1ae7152-4ce0-4fe4-cf10-e7b85ecf2873" - }, - "execution_count": 68, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios Ano CO2_emitido\n", - "0 São Desidério 2019 2024107\n", - "1 Formosa do Rio Preto 2019 4220327\n", - "2 Jaborandi 2019 1706967\n", - "3 Correntina 2019 1545572\n", - "4 Barreiras 2019 1568927\n", - ".. ... ... ...\n", - "119 Dário Meira 2022 217077\n", - "120 Igrapiúna 2022 210971\n", - "121 Ilhéus 2022 209209\n", - "122 Itarantim 2022 203154\n", - "123 Outros 2022 13978140\n", - "\n", - "[124 rows x 3 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Calcular o total da coluna 'valor'\n", - "valor_total = df1['2022'].sum()\n", - "print(\"O valor total da coluna 'valor' é:\", valor_total)" - ], - "metadata": { - "id": "ONOhelsVZ1g8", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "28481b77-4423-4409-8485-ef0a1f19870a" - }, - "execution_count": 69, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "O valor total da coluna 'valor' é: 31412973\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Salvando o arquivo final em um novo CSV\n", - "\n", - "df_sem_duplicatas1.to_csv('co2.csv', index=False, encoding='utf-8')\n", - "\n", - "print(df_sem_duplicatas1)\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "rAUV5SOqQPex", - "outputId": "55a2801b-2811-450b-f930-13af6a50c926" - }, - "execution_count": 72, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios Ano CO2_emitido\n", - "0 São Desidério 2019 2024107\n", - "1 Formosa do Rio Preto 2019 4220327\n", - "2 Jaborandi 2019 1706967\n", - "3 Correntina 2019 1545572\n", - "4 Barreiras 2019 1568927\n", - ".. ... ... ...\n", - "119 Dário Meira 2022 217077\n", - "120 Igrapiúna 2022 210971\n", - "121 Ilhéus 2022 209209\n", - "122 Itarantim 2022 203154\n", - "123 Outros 2022 13978140\n", - "\n", - "[124 rows x 3 columns]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**2. DADOS DESMATAMENTO - MAPBIOMAS**" - ], - "metadata": { - "id": "4b3RXVJPee-P" - } - }, - { - "cell_type": "code", - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt" - ], - "metadata": { - "id": "GGWC3zlhehXu" - }, - "execution_count": 46, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# importando dados\n", - "\n", - "df3 = pd.read_csv('mapbiomas_ba.csv')\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "\n", - "print(df3.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "dOTnbHapgsxF", - "outputId": "0275eb8c-7c99-47b4-eb44-c28b34f6f2d6" - }, - "execution_count": 47, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " CODEALERTA FONTE BIOMA ESTADO MUNICIPIO AREAHA \\\n", - "0 1226926 {SAD-CAATINGA} Caatinga BAHIA Iaçu 2.96 \n", - "1 1226922 {SAD-CAATINGA} Caatinga BAHIA Miguel Calmon 1.69 \n", - "2 1227303 {SAD-CAATINGA} Caatinga BAHIA Buritirama 2.05 \n", - "3 1227296 {SAD-CAATINGA} Caatinga BAHIA Piatã 0.69 \n", - "4 1227291 {SAD-CAATINGA} Caatinga BAHIA Cotegipe 23.97 \n", - "\n", - " ANODETEC DATADETEC DTIMGANT DTIMGDEP DTPUBLI VPRESSAO \n", - "0 2024.0 2024/01/01 2023/01/26 2024/02/14 2024/04/30 agriculture \n", - "1 2024.0 2024/01/01 2023/06/30 2024/01/31 2024/04/30 agriculture \n", - "2 2024.0 2024/01/01 2023/03/17 2023/10/10 2024/04/30 agriculture \n", - "3 2024.0 2024/01/01 2023/04/27 2023/06/17 2024/04/30 agriculture \n", - "4 2024.0 2024/01/01 2023/08/12 2023/10/17 2024/04/30 agriculture \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df3.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "TUEysu1IQn2V", - "outputId": "8ad524da-855f-4137-8f30-dee044fbefed" - }, - "execution_count": 48, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 12 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 CODEALERTA 28397 non-null int64 \n", - " 1 FONTE 28397 non-null object \n", - " 2 BIOMA 28397 non-null object \n", - " 3 ESTADO 28397 non-null object \n", - " 4 MUNICIPIO 28397 non-null object \n", - " 5 AREAHA 28397 non-null float64\n", - " 6 ANODETEC 28397 non-null float64\n", - " 7 DATADETEC 28397 non-null object \n", - " 8 DTIMGANT 28397 non-null object \n", - " 9 DTIMGDEP 28397 non-null object \n", - " 10 DTPUBLI 28397 non-null object \n", - " 11 VPRESSAO 28397 non-null object \n", - "dtypes: float64(2), int64(1), object(9)\n", - "memory usage: 2.6+ MB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Converta todas as colunas de anos para int\n", - "\n", - "df3[['ANODETEC']] = df3[['ANODETEC']].astype(int)\n", - "\n", - "df3.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "_0gvkwXlQnbU", - "outputId": "ca7bbc24-4b5e-4c44-f4f2-72f2db725ce4" - }, - "execution_count": 49, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 12 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 CODEALERTA 28397 non-null int64 \n", - " 1 FONTE 28397 non-null object \n", - " 2 BIOMA 28397 non-null object \n", - " 3 ESTADO 28397 non-null object \n", - " 4 MUNICIPIO 28397 non-null object \n", - " 5 AREAHA 28397 non-null float64\n", - " 6 ANODETEC 28397 non-null int64 \n", - " 7 DATADETEC 28397 non-null object \n", - " 8 DTIMGANT 28397 non-null object \n", - " 9 DTIMGDEP 28397 non-null object \n", - " 10 DTPUBLI 28397 non-null object \n", - " 11 VPRESSAO 28397 non-null object \n", - "dtypes: float64(1), int64(2), object(9)\n", - "memory usage: 2.6+ MB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remover múltiplas colunas de uma vez, temos que deixar municipio, area ha (pra calcular o desmatamento, data tec e ano)\n", - "\n", - "colunas_para_remover = ['CODEALERTA', 'FONTE', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'DATADETEC']\n", - "\n", - "df3_limpo = df3.drop(columns=colunas_para_remover)\n", - "\n", - "print(df3_limpo.head())" - ], - "metadata": { - "id": "UHR6fDjZfFf9", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "fde59c3f-e46e-4872-b185-053b24ceb5fd" - }, - "execution_count": 51, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Caatinga BAHIA Iaçu 2.96 2024 agriculture\n", - "1 Caatinga BAHIA Miguel Calmon 1.69 2024 agriculture\n", - "2 Caatinga BAHIA Buritirama 2.05 2024 agriculture\n", - "3 Caatinga BAHIA Piatã 0.69 2024 agriculture\n", - "4 Caatinga BAHIA Cotegipe 23.97 2024 agriculture\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "print(df3_limpo.info())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "WBdJUsJ9f3Yi", - "outputId": "ab7e8d10-f061-4c27-d388-404d651b971c" - }, - "execution_count": 52, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 6 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 BIOMA 28397 non-null object \n", - " 1 ESTADO 28397 non-null object \n", - " 2 MUNICIPIO 28397 non-null object \n", - " 3 AREAHA 28397 non-null float64\n", - " 4 ANODETEC 28397 non-null int64 \n", - " 5 VPRESSAO 28397 non-null object \n", - "dtypes: float64(1), int64(1), object(4)\n", - "memory usage: 1.3+ MB\n", - "None\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Verificar se tem valores faltantes\n", - "\n", - "print(df3_limpo.isnull().sum())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Jeufw3Gvf6gj", - "outputId": "52788ae4-ce1a-4110-8488-cdc39223347d" - }, - "execution_count": 53, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BIOMA 0\n", - "ESTADO 0\n", - "MUNICIPIO 0\n", - "AREAHA 0\n", - "ANODETEC 0\n", - "VPRESSAO 0\n", - "dtype: int64\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df3_MUN = df3_limpo.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df3_MUN.head())\n", - "\n", - "df3_ANO = df3_limpo.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df3_ANO.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "4LvRvq8pSL8G", - "outputId": "0ec49fe3-1297-47b0-dfec-892e6985cb1f" - }, - "execution_count": 54, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " MUNICIPIO AREAHA\n", - "0 Abaré 22.43\n", - "1 Abaíra 69.20\n", - "2 Acajutiba 127.70\n", - "3 Adustina 482.47\n", - "4 Aiquara 175.27\n", - " ANODETEC AREAHA\n", - "0 2019 64554.41\n", - "1 2020 113073.16\n", - "2 2021 154250.73\n", - "3 2022 227779.90\n", - "4 2023 290593.00\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Salvando o arquivo final em um novo CSV\n", - "\n", - "df3_limpo.to_csv('desmatamento.csv', index=False, encoding='utf-8')\n", - "\n", - "print(df3_limpo)" - ], - "metadata": { - "id": "Dmt95mSDi-XN", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "4f7204c9-cbfd-48f5-d6c0-306adae656eb" - }, - "execution_count": 70, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Caatinga BAHIA Iaçu 2.96 2024 agriculture\n", - "1 Caatinga BAHIA Miguel Calmon 1.69 2024 agriculture\n", - "2 Caatinga BAHIA Buritirama 2.05 2024 agriculture\n", - "3 Caatinga BAHIA Piatã 0.69 2024 agriculture\n", - "4 Caatinga BAHIA Cotegipe 23.97 2024 agriculture\n", - "... ... ... ... ... ... ...\n", - "28392 Caatinga BAHIA Guajeru 1.47 2024 agriculture\n", - "28393 Caatinga BAHIA Filadélfia 1.56 2024 agriculture\n", - "28394 Caatinga BAHIA Itaberaba 54.26 2024 agriculture\n", - "28395 Caatinga BAHIA Barra da Estiva 7.11 2024 agriculture\n", - "28396 Caatinga BAHIA Várzea da Roça 2.37 2024 agriculture\n", - "\n", - "[28397 rows x 6 columns]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**Integrando as bases de dados**" - ], - "metadata": { - "id": "_q7zkPedSmZl" - } - }, - { - "cell_type": "code", - "source": [ - "# importando dados\n", - "\n", - "df_desmatamento = pd.read_csv('desmatamento.csv')\n", - "\n", - "df_co2 = pd.read_csv('co2.csv')\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "\n", - "print(df_desmatamento.head())\n", - "\n", - "print(df_co2.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "I94Is9Ugs3l4", - "outputId": "9b690f09-4fc9-4c94-8408-848575a7cd46" - }, - "execution_count": 75, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Caatinga BAHIA Iaçu 2.96 2024 agriculture\n", - "1 Caatinga BAHIA Miguel Calmon 1.69 2024 agriculture\n", - "2 Caatinga BAHIA Buritirama 2.05 2024 agriculture\n", - "3 Caatinga BAHIA Piatã 0.69 2024 agriculture\n", - "4 Caatinga BAHIA Cotegipe 23.97 2024 agriculture\n", - " Municípios Ano CO2_emitido\n", - "0 São Desidério 2019 2024107\n", - "1 Formosa do Rio Preto 2019 4220327\n", - "2 Jaborandi 2019 1706967\n", - "3 Correntina 2019 1545572\n", - "4 Barreiras 2019 1568927\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Limpar e padronizar os nomes de municípios\n", - "\n", - "df_desmatamento['MUNICIPIO'] = df_desmatamento['MUNICIPIO'].str.strip().str.lower()\n", - "df_co2['Municípios'] = df_co2['Municípios'].str.strip().str.lower()\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "\n", - "print(df_desmatamento.head())\n", - "\n", - "print(df_co2.head())\n" - ], - "metadata": { - "id": "_NzU6L8rSa0b", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "31b0233a-709b-4382-9b1a-9289fed00af6" - }, - "execution_count": 77, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Caatinga BAHIA iaçu 2.96 2024 agriculture\n", - "1 Caatinga BAHIA miguel calmon 1.69 2024 agriculture\n", - "2 Caatinga BAHIA buritirama 2.05 2024 agriculture\n", - "3 Caatinga BAHIA piatã 0.69 2024 agriculture\n", - "4 Caatinga BAHIA cotegipe 23.97 2024 agriculture\n", - " Municípios Ano CO2_emitido\n", - "0 são desidério 2019 2024107\n", - "1 formosa do rio preto 2019 4220327\n", - "2 jaborandi 2019 1706967\n", - "3 correntina 2019 1545572\n", - "4 barreiras 2019 1568927\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remove linhas duplicadas\n", - "\n", - "df_desmatamentos = df_desmatamento.drop_duplicates()\n", - "print(df_desmatamentos)\n", - "\n", - "\n", - "df_co2s = df_co2.drop_duplicates()\n", - "print(df_co2s)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "qGcjZp3huhft", - "outputId": "c44acea9-0073-4b86-9f23-6a59f9327d8b" - }, - "execution_count": 81, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Caatinga BAHIA iaçu 2.96 2024 agriculture\n", - "1 Caatinga BAHIA miguel calmon 1.69 2024 agriculture\n", - "2 Caatinga BAHIA buritirama 2.05 2024 agriculture\n", - "3 Caatinga BAHIA piatã 0.69 2024 agriculture\n", - "4 Caatinga BAHIA cotegipe 23.97 2024 agriculture\n", - "... ... ... ... ... ... ...\n", - "28392 Caatinga BAHIA guajeru 1.47 2024 agriculture\n", - "28393 Caatinga BAHIA filadélfia 1.56 2024 agriculture\n", - "28394 Caatinga BAHIA itaberaba 54.26 2024 agriculture\n", - "28395 Caatinga BAHIA barra da estiva 7.11 2024 agriculture\n", - "28396 Caatinga BAHIA várzea da roça 2.37 2024 agriculture\n", - "\n", - "[27919 rows x 6 columns]\n", - " Municípios Ano CO2_emitido\n", - "0 são desidério 2019 2024107\n", - "1 formosa do rio preto 2019 4220327\n", - "2 jaborandi 2019 1706967\n", - "3 correntina 2019 1545572\n", - "4 barreiras 2019 1568927\n", - ".. ... ... ...\n", - "119 dário meira 2022 217077\n", - "120 igrapiúna 2022 210971\n", - "121 ilhéus 2022 209209\n", - "122 itarantim 2022 203154\n", - "123 outros 2022 13978140\n", - "\n", - "[124 rows x 3 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Realizar a junção das tabelas com base nos municípios e anos\n", - "df_integrado = pd.merge(df_desmatamentos, df_co2s, left_on=['MUNICIPIO', 'ANODETEC'], right_on=['Municípios', 'Ano'], how='inner')\n", - "\n", - "# Exibir as primeiras linhas da tabela integrada\n", - "df_integrado.head()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 206 - }, - "id": "MJTWFuyzsXWE", - "outputId": "40ebcaf4-5987-421c-95a6-2a458e9070b5" - }, - "execution_count": 123, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO \\\n", - "0 Cerrado BAHIA são desidério 12.52 2021 agriculture \n", - 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2CerradoBAHIAriachão das neves7.41agriculture7619632021
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Gráfico de barras: Desmatamento total por ano\n", - "plt.figure(figsize=(10,6))\n", - "sns.barplot(x='ANO', y='AREAHA', data=df_integrado, estimator=sum, ci=None, color='teal')\n", - "plt.title('Total de Área Desmatada por Ano (Bahia)', fontsize=14)\n", - "plt.xlabel('Ano', fontsize=12)\n", - "plt.ylabel('Área Desmatada (ha)', fontsize=12)\n", - "plt.xticks(rotation=45)\n", - "plt.show()\n", - "\n", - "# 2. Gráfico de barras: Emissões de CO₂ por ano\n", - "plt.figure(figsize=(10,6))\n", - "sns.barplot(x='ANO', y='CO2_emitido', data=df_integrado, estimator=sum, ci=None, color='orange')\n", - "plt.title('Emissões de CO₂ por Ano (Bahia)', fontsize=14)\n", - "plt.xlabel('Ano', fontsize=12)\n", - "plt.ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", - "plt.xticks(rotation=45)\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "h8SueyKp5JVU", - "outputId": "80b970c1-2f59-4153-deaf-f18df51062c1" - }, - "execution_count": 201, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":3: FutureWarning: \n", - "\n", - "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", - "\n", - " sns.barplot(x='ANO', y='AREAHA', data=df_integrado, estimator=sum, ci=None, color='teal')\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":12: FutureWarning: \n", - "\n", - "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", - "\n", - " sns.barplot(x='ANO', y='CO2_emitido', data=df_integrado, estimator=sum, ci=None, color='orange')\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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fb21z9HiyExsbK0k2H1b8U3BwsM1lpPHx8Tp06JBmzJihAQMG6J133lGLFi2s21NSUvTJJ59o/fr1ioqKUlJSks3v9Ozmvp+fX7Yhqnjx4vr1119veQyZTp8+rYULF2rnzp2KiYnJEkLPnz+vUqVKZdnP398/R/fRAcgfCGFO0qxZM+snas8995zdn3z908KFC+Xn56f33nvP+oman5+fxowZo99++01hYWFOqxmAsr2ZP/NT8FttS0tLu+W47u7u+uijjzRv3jx9++23mjFjhqQbK6P17t1bI0aMsI71zjvvaMGCBVq3bp3eeust63t37txZ48ePt4bExMTEm57pyQyOiYmJ1ra4uDilpaVlG3AyJSUlWf/9/PPPq3Tp0vriiy/03nvv6b333pOXl5dat26tf//737dd0S3zDEl2ZyUKFCiQ5Wxa5h/QR48e1dGjR286rj1XAhQtWlRnz55VTExMtn8M32wfSfrzzz9v2zfzTEPm1/m+++6zOc7atWsrPT1d0dHRdoew7BYPyRxb+t/XM/P/6c36Z/f/PnOcf36IcDvXr19XRESEChUqpMcee8xmW4cOHbRgwQJ9/vnn2Yaw7OZLZvDOyMiwtjl6PNnx8vKy1m0vPz8/1a9fX3PmzNFjjz2m119/3SaEjRkzRt9//73KlSunNm3a6L777pO7u7vi4+O1bNmybM/Q3ezxF+7u7jbHfjMnT55Ut27dlJiYqHr16umRRx6Rj4+P3NzctHv3bu3evfumZwavX79uyuMxADgXIcxJ7Fka1jAMLVmyRGvWrNHZs2dVvHhx9enTR/3797f2OXz4sOrUqWNzSUPmCk5btmwhhAF3kSJFiujFF1/UCy+8oKioKO3cuVPLly/X3Llz5eHhYX3AcsGCBTVu3DiNGzdOp0+f1q5du7Rq1SotW7ZM169f19SpUyXd+CP3ZgsWZF5a9/c/hDP/be/Kae7u7ho0aJAGDRqkmJgY/fe//9UXX3yhtWvX6uLFi7c9w5j5h+ilS5eybEtPT1dsbKzNkvqZ9bVs2TLXZ/pr1aqls2fPaseOHXaHsKpVq8rDw0OHDh1SQkLCLZ8jl3kJWs2aNbNsMwxD77zzjkqVKqX69evbXXN2q2xK//v6ZdaT+XW6Wf/MSyT/GYJyGsAkadOmTdazVpmLPvzTwYMHdeTIET344IM5Hl9y/Hiyk/nBwK1W37yZsmXLKiAgQCdPnlR8fLz8/Py0f/9+ff/992rUqJEWLVpkc1nir7/+qmXLluX4feyxdOlSxcXFadasWTZnICVp8uTJN10QJSMjQwkJCapYseIdqQvAncM9YSZ69dVXNWfOHHXs2FGLFi1Sp06d9MYbb2jlypXWPtevX7cJYNKNy14sFku+vCQHwO1ZLBZVqFBBvXv31ocffihJN11SvkyZMuratas+/vhjFSpUyKZf5cqVlZycrP3792fZL/OPtL//YRweHq7Y2FhFR0fnuObixYurXbt2+uCDD1S2bFn99NNPunbt2i33yXzvX375Jcu2vXv3Zjl7WKFCBfn4+OjgwYO3XPrbHpn3Hi1ZsuS2dWaeUShUqJBatmxpfUTAzRw/flybN29W4cKFrQ9//ruZM2dqz549euutt2zuvbudPXv2ZDlLkpGRoT179shisVi/npkfvmX3h3hSUpIOHjwob29vm/vwHJW5ymSrVq3UtWvXLP9lfiiY2c8RzjyekJAQSTcubc2ptLQ0Xb16VdL/ztRlrkrZtGnTLPeF/fzzzzl+D3udOnVKkvToo4/atBuGob179950v+joaGVkZFi/DgDuHoQwk5w6dUoff/yxJk2apBEjRqhBgwYaNWqU+vfvr/nz51t/AZQrV04HDhywuf58//79MgzDoU/6AOSNM2fO6MyZM1naMz/9z/yw5fLly/rjjz+y9IuLi1NqaqrNhzKdOnWSdGMp+b+Hlj///FMffvih3N3d1b59e2t75nPLJk2alO09IxcuXNDx48cl3Qgme/bsydInKSlJSUlJcnd3v+0Z/0cffVQ+Pj76/PPPbf4oTk1N1TvvvJOlv7u7u3r16qWzZ89q5syZ2QaxP/74I9sza//0r3/9S+3atdOJEyc0atSobPdJTEzUm2++qdWrV1vbxo8fL39/fy1cuNB6L9TfRUdH68knn1RqaqqefvrpLPcezZ07V6tXr9a7776b42XSo6OjtWbNGpu2NWvWKDo6Wk2bNrWe5alVq5YeeOABbd26NcujAt577z3Fxsaqbdu2WT7Ay6nMs7ClSpXS22+/rVdffTXLf2+//ba8vb0VERFh18IZ2XHm8WTeV7Zv374c1/Hxxx8rNTVVlSpVsl4qW7JkSUlZP0g4evSoFi1alOP3sFfmvV7/fN9FixZl+/MhU+YHMtndXwcgf+NyRJNk/qJ57LHHbD4NbtCggd5//339+eefKlWqlHr16qX+/ftr9uzZGjhwoM6fP6+XX34529XKAGR16tQpzZ0796bbhw4dar2P5E46cuSIRo0apfDwcFWoUEFBQUGKiYnRd999Jzc3N+tlyDExMerYsaMefPBBhYaGqnjx4oqNjdV//vMf67OHMnXo0EGbNm3Sf/7zH7Vv315NmzZVcnKyvvnmG8XGxuq5556zuRSvcePGevLJJ/Xuu+/qscce08MPP6ySJUsqNjZWJ0+e1C+//KKxY8eqQoUKunbtmnr16qVy5cqpatWqKlGihJKSkvTDDz/owoULGjhw4G3/KPb19dULL7yg5557Tl27dlXbtm3l4+OjH374Qd7e3tZ7ff4u837X5cuXKzIyUrVr19Z9992nmJgY/fHHHzpy5IhWr15t1/OtXn31VRmGofXr1+vRRx9Vw4YNVa5cORmGoZMnT2rHjh26evWqZs2aZd2nVKlSWrRokZ588km98MILWr58uerWrauCBQvq+PHj2rp1q9LS0jR69Gjr6niZ5syZo08++UQffvjhTS/du5VGjRpp2rRpioyMVKVKlXT06FF9//33KlKkiJ5//nlrPzc3N7322msaPHiwhg4dqpYtW6pUqVLau3evdu/erQceeEATJkzI8fv/U+bDmDt16nTTSxl9fX3VvHlzrVu3Tt999511tdCccObxhIaGqkyZMrd8jt2VK1dsfiYkJCTot99+03//+195enrqhRdesG4LDw9XeHi4vvnmG124cEHVq1fXn3/+qS1btqhJkyb69ttvc3y89ujZs6e++OILjRkzRq1bt1ZAQIB+/fVX/fbbb2ratKl++OGHbPfbvn273N3d1bRp0ztSF4A7hxBmkitXrsgwDP3rX//KdntmCKtfv74mTJigefPm6f3335ebm5t69uwpDw8P66psAG4uc4n6m+nXr58pIaxq1aoaMmSIdu/ercjISMXHxysoKEgNGjTQoEGDrH+0lypVSqNHj9bOnTv1008/KTY2VkWKFFFYWJj69u2rxo0bW8e0WCyaM2eOli1bpi+//FIff/yxPDw8VKVKFfXv3z/LpUyS9NRTT6lOnTpatmyZduzYoYSEBAUEBKh06dIaNWqUHn/8cUk37kubMGGCdu7cqZ9//lmXLl2Sv7+/goODNX78eLVt29au4+7UqZN8fX317rvv6ssvv5Svr6+aNWumZ555xnom7+88PT31/vvv67PPPtPatWu1adMmpaSkqGjRoqpQoYJ69uxp96VW3t7eevPNN9W1a1d9/vnn2rt3r/WxBCVKlFCbNm3UvXv3LKtL1qhRQ998842WL1+uLVu26Msvv9T169cVFBSktm3bqk+fPqpatarNPnv37tX8+fMVFBSkl156ydres2dP9erVy656a9SooREjRuidd97R8uXL5ebmpubNm+uZZ57Jcl9b7dq1tXr1as2fP1/bt29XYmKiihUrpr59+2rEiBG3XTTldjIyMvTll1/KYrGoY8eOt+zbpUsXrVu3Tp999plDIUxy3vFYLBb16NFDb7zxhvbv35/tyqGZS9Rn8vDwUFBQkDp06KAhQ4aoUqVK1m0FChTQwoUL9cYbb+jHH3/UgQMHVLZsWT377LNq3LjxHQthYWFhWrx4sd5++21t2rRJBQoUUM2aNbVy5Upt2bIl2xCWnJys7777Tk2bNrW51xLA3cFiOLqWOm4qc3XEdevWWdtWrFihqVOnasWKFVmWnZZuLKH795uQk5KSdPr0aQUFBcnPz0//+te/NGHCBPXs2dOUYwAA3Bm7du1S3759NWrUKI0ePTqvy7nrxcbGqnnz5mrVqpWmTZuW1+WY5tNPP9ULL7ygjz/+WHXq1MnrcgDkEGfCTJK5YlZsbKyaNWt22/6FChWyPh/ls88+k2EYat269R2tEQCAu01AQICGDh2qOXPmaMSIEdk+S8vVpKWlacGCBWrWrBkBDLhLEcKcJDk5WZGRkZJuPHA5MTHR+nDIunXrKjg4WL1799azzz6rQYMGqXr16kpNTVV0dLR27dqld999V9KNG6PXrl1rvaRi586dWrZsmaZPny5/f/+8OTgAAPKxfv36KSUlxXppv6v7888/1bFjxyzL2QO4e3A5opOcOXMm2/sxJGnZsmWqV6+eDMPQJ598otWrV+vEiRMqXLiwgoOD1apVK+tN+n/99ZeeeeYZHT58WKmpqXrwwQc1fPhwPfLIIyYeDQDgTuFyRAAAIQwAAAAATMRzwgAAAADARIQwAAAAADARC3Pk0t69e2UYRrbLzgMAAAC4d6SmpspisahmzZq37EcIyyXDMMRtdQAAAADszQWEsFzKPANWrVq1PK4EAAAAQF46cOCAXf24JwwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDEC+Y2Sk53UJuEfwvQYAyAvueV0AAPyTxa2ALvwwVqmxx/K6FLgwj4CKCmr6dl6XAQC4BxHCAORLqbHHlHLpUF6XAQAA4HRcjggAAAAAJiKEAQAAAICJ8tXliCdPntTixYu1b98+HT16VOXLl9e6detuuc+uXbvUt2/fbLcFBwdr48aNt+zXpk0bvfXWW7kvHgAAAADskK9C2NGjRxUZGanq1asrIyNDhmHcdp8qVapo9erVNm2JiYkaMmSIGjdunKX/a6+9pvLly1tfFylSJPeFAwAAAICd8lUIa9asmZo3by5Jeu6553Tw4MHb7uPj46MaNWrYtH3xxRfKyMhQu3btsvSvVKmSqlWr5pR6AQAAACCn8tU9YW5uziln3bp1KleunMLDw50yHgAAAAA4S74KYc5w8eJF7dy5M9uzYJI0dOhQVa5cWY0bN9bMmTN17do1kysEAAAAcC/LV5cjOsOGDRuUnp6eJYT5+vpq8ODBqlOnjry8vLRz504tWbJEUVFRWrhwYa7e0zAMJSUl5WoMADdYLBYVLFgwr8vAPSQ5Odmue5ABALgdwzBksVhu28/lQlhERISqVKmi4OBgm/awsDCFhYVZX9evX1/FihXT1KlTtX///lxdupiamqrDhw87vD+A/ylYsKDNXAXutBMnTig5OTmvywAAuAhPT8/b9nGpEHbq1Cnt379fEydOtKt/69atNXXqVB08eDBXIczDw0MVK1Z0eH8A/2PPp0eAMwUHB3MmDADgFMeOHbOrn0uFsIiICLm5ualNmzamvq/FYlGhQoVMfU8AgHNw+SsAwFns/TDZpRbmWL9+verWratixYrZ3V8SS9YDAAAAME2+OhOWnJysyMhISdLZs2eVmJiojRs3SpLq1q2rwMBA9evXT+fOndPmzZtt9v3tt990/PhxDRgwINuxJ0yYoLJlyyosLMy6MMfSpUvVvHlzQhgAAAAA0+SrEHbp0iU99dRTNm2Zr5ctW6Z69eopIyND6enpWfaNiIiQp6enWrZsme3YlSpVUkREhJYsWaLU1FSVKlVKw4cP19ChQ51/IAAAAABwExaDu5Fz5cCBA5K4pBFwtnNr2ynl0qG8LgMuzPO+KirZcV1elwEAcCH2ZgOXuicMAAAAAPI7QhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAidzzuoC/O3nypBYvXqx9+/bp6NGjKl++vNatW3fb/Zo1a6azZ89mad+/f7+8vLysr2NiYjRt2jRt27ZNHh4eatGihSZOnCgfHx+nHgcAAAAA3Ey+CmFHjx5VZGSkqlevroyMDBmGYfe+LVu21MCBA23aPD09rf9OTU3V4MGDJUmzZ8/WtWvXNHPmTD399NNauHChcw4AAAAAAG4jX4WwZs2aqXnz5pKk5557TgcPHrR736JFi6pGjRo33f7tt9/q6NGj2rBhg8qXLy9J8vPz06BBg7R//36Fh4fnqnYAAAAAsEe+uifMze3OlbN161aFhoZaA5gkNWzYUAEBAYqMjLxj7wsAAAAAf5evQlhuREREqGrVqqpZs6aGDBmi33//3WZ7VFSUTQCTJIvFouDgYEVFRZlZKgAAAIB7WL66HNFRzZo1U3h4uEqWLKnTp09rwYIFeuKJJ7R27VqVKVNGkhQfHy9fX98s+/r7+ysuLi5X728YhpKSknI1BoAbLBaLChYsmNdl4B6SnJyco3uQAQC4GcMwZLFYbtvPJULYCy+8YP137dq11bBhQ7Vu3VqLFy/WlClT7vj7p6am6vDhw3f8fYB7QcGCBRUWFpbXZeAecuLECSUnJ+d1GQAAF/H3xQFvxiVC2D8VK1ZMDz30kA4dOmRt8/PzU2JiYpa+cXFxKlGiRK7ez8PDQxUrVszVGABusOfTI8CZgoODORMGAHCKY8eO2dXPJUNYdsqXL68//vjDps0wDJ04cUINGzbM1dgWi0WFChXK1RgAgLzB5a8AAGex98Nkl1mY4+9iYmL0yy+/qFq1ata2xo0b68iRI4qOjra27dixQ7GxsWrSpEkeVAkAAADgXpSvzoQlJydbl4s/e/asEhMTtXHjRklS3bp1FRgYqH79+uncuXPavHmzJGndunX6/vvv1aRJExUrVkynT5/WokWLVKBAAQ0YMMA6dsuWLbVw4UKNHj1a48ePV3JysmbNmqWmTZvyjDAAAAAApslXIezSpUt66qmnbNoyXy9btkz16tVTRkaG0tPTrdtLly6t8+fPa/r06UpISJCvr6/+9a9/acyYMdaVEaUb92198MEHmjZtmsaPHy93d3e1aNFCkyZNMufgAAAAAECSxeBu5Fw5cOCAJNlc+ggg986tbaeUS4du3xFwkOd9VVSy47q8LgMA4ELszQYueU8YAAAAAORXhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAA8hkjIz2vS8A9gu81IG+453UBAADAlsWtgC78MFapscfyuhS4MI+Aigpq+nZelwHckwhhAADkQ6mxx5Ry6VBelwEAuAO4HBEAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwETuudn58uXLunLliiwWi4oUKaIiRYo4qy4AAAAAcEk5CmFJSUnauHGj/vOf/2jv3r26cuWKzfYiRYqoRo0aat68uVq1aqVChQo5tVgAAAAAuNvZFcKuXLmiRYsWadWqVUpJSVFoaKgeffRRlSlTRn5+fjIMQ/Hx8Tpz5owOHTqkF198Ua+88op69uypIUOGKDAw8E4fBwAAAADcFewKYc2aNVPZsmX17LPPqmXLlrcNVZcvX9a3336rNWvWaPXq1dqzZ49TigUAAACAu51dIWzOnDl6+OGH7R40MDBQvXr1Uq9evfTjjz86XBwAAAAAuBq7VkfMSQBz5r4AAAAA4GpYoh4AAAAATOTwEvXHjx/X559/rjNnziguLk6GYdhst1gs+uijj3JdIAAAAAC4EodC2Nq1azVp0iS5u7srODhYfn5+Wfr8M5QBAAAAABwMYfPmzVPlypX1/vvvs/w8AAAAAOSAQyHs/PnzGjhwoNMD2MmTJ7V48WLt27dPR48eVfny5bVu3brb1rJ06VJt375dp06dkq+vr+rUqaPx48erVKlS1n67du1S3759s+zfpk0bvfXWW049DgAAAAC4GYdCWGhoqM6fP+/sWnT06FFFRkaqevXqysjIsOuSxkOHDmnz5s3q0qWLqlevritXrui9995Tt27dtG7duixB8bXXXlP58uWtr4sUKeL04wAAAACAm3EohD333HN66qmn1LhxY9WqVctpxTRr1kzNmze3vsfBgwdvu89DDz2kb775Ru7u/zuUWrVqqWnTplq7dq0GDhxo079SpUqqVq2a02oGAAAAgJxwKIS9//778vX1Ve/evVWxYkWVKFFCbm62q91bLBa99957ORr3n2PYI7tFQe6//34FBgbekbN1AAAAAJAbDoWwP/74Q5JUokQJXb16VceOHcvSx2Kx5K6yXDhx4oQuXbqkChUqZNk2dOhQxcbGKigoSG3bttVTTz0lb2/vPKgSAAAAwL3IoRC2ZcsWZ9fhNIZhaNq0aSpWrJjatm1rbff19dXgwYNVp04deXl5aefOnVqyZImioqK0cOHCXL9nUlJSbksHoBsf4BQsWDCvy8A9JDk5OV89VoU5ALPltzkA3M0Mw7DrZJTDD2vOr+bOnaudO3fqgw8+UKFChaztYWFhCgsLs76uX7++ihUrpqlTp2r//v0KDw93+D1TU1N1+PDhXNUN4IaCBQvazFXgTjtx4oSSk5Pzugwr5gDMlt/mAHC38/T0vG2fXIWw3bt364cfftC5c+ckSSVLllTTpk1Vt27d3AzrsDVr1mj+/Pl69dVXVb9+/dv2b926taZOnaqDBw/mKoR5eHioYsWKDu8P4H/y8lJm3JuCg4Pz1VkA5gDMlt/mAHA3y+42rew4FMJSUlL09NNP67vvvpNhGNbFMeLj4/Xhhx+qRYsWmj17tjw8PBwZ3iGbN2/WlClTNGbMGHXt2tW095Vu/ML8+1k3AMDdg0v/cK9jDgDOY+8HaTlfjlDS/PnztXnzZg0YMEDbtm3T7t27tXv3bm3fvl0DBw7Upk2bNH/+fEeGdsiuXbs0fvx4devWTSNHjrR7v/Xr10sSS9YDAAAAMI1DZ8IiIiLUqVMnPfvsszbt9913n5555hldunRJX3/9tcaOHZujcZOTkxUZGSlJOnv2rBITE7Vx40ZJUt26dRUYGKh+/frp3Llz2rx5syTp+PHjGjlypMqVK6cOHTro119/tY4XGBioBx54QJI0YcIElS1bVmFhYdaFOZYuXarmzZsTwgAAAACYxqEQduHChVveQxUeHm49y5QTly5d0lNPPWXTlvl62bJlqlevnjIyMpSenm7dvm/fPiUkJCghIUG9evWy2bdTp06aMWOGpBsPaY6IiNCSJUuUmpqqUqVKafjw4Ro6dGiO6wQAAAAARzkUwu6//37t3r07S+jJ9N///lf3339/jsctXbq0fv/991v2Wb58uc3rzp07q3Pnzrcde9iwYRo2bFiOawIAAAAAZ3LonrCOHTvqm2++0eTJkxUVFaX09HRlZGQoKipKL730kjZu3KhOnTo5u1YAAAAAuOs5dCZs+PDhOn36tNasWaNPP/1Ubm43slxGRoYMw1CnTp00fPhwpxYKAAAAAK7AoRBWoEABzZgxQ/3799fWrVt19uxZSVKpUqXUuHFjPfjgg04tEgAAAABchUMh7Ny5cwoMDNSDDz6YbeC6du2aLl++rJIlS+a6QAAAAABwJQ7dE/boo49al4jPzpYtW/Too486XBQAAAAAuCqHQphhGLfcnpqaar1PDAAAAADwP3ZfjpiYmKj4+Hjr69jYWJ07dy5Lv/j4eG3YsEFBQUHOqRAAAAAAXIjdIWzp0qWaP3++JMlisWj69OmaPn16tn0Nw9DYsWOdUiAAAAAAuBK7Q1jDhg1VqFAhGYah119/XW3btlWVKlVs+lgsFhUsWFBVqlRRtWrVnF4sAAAAANzt7A5hNWvWVM2aNSVJycnJeuyxxxQSEnLHCgMAAAAAV+TQEvWjRo1ydh0AAAAAcE+wawnDhQsXKjExMceDJyYmauHChTneDwAAAABclV0hbN26dXrkkUc0ZcoU7dq1S+np6Tftm5qaqp9++kkvvviimjZtqnXr1jmtWAAAAAC429l1OeLXX3+tiIgILVmyRKtWrZKnp6cqVaqk0qVLy9/fX4ZhKC4uTmfOnNHRo0eVlpamkJAQvfjii2rfvv2dPgYAAAAAuGvYFcIsFovat2+v9u3b67ffftN3332nX3/9Vfv27VNsbKwkKSAgQOXLl9eQIUP06KOPZlk5EQAAAADgwMIcYWFhCgsLuxO1AAAAAIDLs+ueMAAAAACAcxDCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARE4JYefOndOff/5p07Zv3z5nDA0AAAAALiXXIezzzz/Xo48+qubNm2vWrFkyDEOSNHv27FwXBwAAAACuJtchbOnSpfryyy/12Wefafv27XrqqaeUkZFhDWMAAAAAgP/JdQjz9/fXgw8+qMqVK+uTTz5RYmKinn32WWfUBgAAAAAuJ9chLC0tTenp6ZIkHx8fLViwQJcuXdLevXtzXRwAAAAAuJpch7DevXvrr7/+sr729PTUggUL1L9//9wODQAAAAAuxz23Azz++ONZ2ry8vDRhwoTcDg0AAAAALsehELZ//359//33On78uK5evarChQurQoUKeuSRRxQeHu7sGgEAAADAZeQohF2+fFnPPfecfvzxx2xXP1ywYIEefvhhzZgxQ4GBgU4rEgAAAABchd0hLDk5Wf369dPx48fVqVMndezYUQ8++KAKFy6sq1ev6vfff9eXX36ptWvXqn///lqzZo28vb3vZO0AAAAAcNexO4QtWbJEx48f17vvvqumTZvabPPz81OdOnVUp04dPfbYY3ryySf14YcfasSIEc6uFwAAAADuanavjrhx40Y9/vjjWQLYPzVt2lSPP/64NmzYkNvaAAAAAMDl2B3CTp8+rdq1a9vVt3bt2jp9+rTDRQEAAACAq7I7hHl4eCg5OdmuvteuXZOHh4fDRQEAAACAq7I7hIWGhmrz5s129d20aZNCQkIcLgoAAAAAXJXdIaxr167673//qzfeeEMZGRnZ9jEMQ7Nnz9bPP/+sbt26Oa1IAAAAAHAVdq+O2LFjR/3www/64IMPtGXLFrVr106hoaE2S9SvW7dOUVFRatmypTp27HgHywYAAACAu1OOHtb85ptvqnLlylqyZInmzJkji8Vi3WYYhvz8/DR27FgNHTrU6YUCAAAAgCvIUQhzc3PTsGHD1L9/f/3yyy86duyYrl69qsKFC6tChQp66KGHeEAzAAAAANxCjkJYJi8vLzVo0EANGjRwdj0AAAAA4NLsXpgjISFBgwYN0oIFC27Z77333tPgwYN19erVXBcHAAAAAK7G7hD28ccfa+/everevfst+3Xv3l179+7VJ598kuviAAAAAMDV2B3CNm/erLZt2yowMPCW/e677z61bdtWmzZtynVxAAAAAOBq7A5hJ06cUNWqVe3qW6VKFR0/ftzhogAAAADAVdkdwgzDyNHAOe0PAAAAAPcCu0NYiRIldOjQIbv6Hjp0SCVKlHC4KAAAAABwVXaHsKZNm+rrr79WdHT0LftFR0fr66+/VtOmTXNczMmTJzV58mR16NBBYWFhateunV37GYahRYsWqWnTpgoPD1ePHj3066+/ZukXExOj0aNHq2bNmqpbt66ef/55JSYm5rhOAAAAAHCU3SFs8ODB8vb21v/93/9pw4YNSktLs9melpamDRs2qG/fvvL29tagQYNyXMzRo0cVGRmpsmXLqkKFCnbv9/7772vOnDnq37+/Fi5cqKCgIA0cOFCnT5+29klNTdXgwYMVHR2t2bNna8qUKdq2bZuefvrpHNcJAAAAAI6y+2HN9913nxYtWqRRo0bp6aeflre3t8qVK6fChQvr6tWrio6O1rVr11S0aFEtWrRIRYsWzXExzZo1U/PmzSVJzz33nA4ePHjbfa5fv66FCxdq4MCB6t+/vyTpoYceUqtWrbR48WJNmTJFkvTtt9/q6NGj2rBhg8qXLy9J8vPz06BBg7R//36Fh4fnuF4AAAAAyCm7Q5gkhYeHa/369Vq5cqW+//57RUVFKTExUT4+PgoNDVWzZs3Us2dP+fn5OVSMm5vdJ+as9uzZo8TERLVu3dra5unpqRYtWmjz5s3Wtq1btyo0NNQawCSpYcOGCggIUGRkJCEMAAAAgClyFMIkydfXV0OHDtXQoUPvRD05FhUVJUk24UqSKlSooI8++kjXrl2Tt7e3oqKisvSxWCwKDg62jgEAAAAAd1qOQ1h+Ex8fL09PT3l5edm0+/n5yTAMxcXFydvbW/Hx8fL19c2yv7+/v+Li4nJVg2EYSkpKytUYAG6wWCwqWLBgXpeBe0hycnK+eqwKcwBmy29zALibGYYhi8Vy2353fQjLD1JTU3X48OG8LgNwCQULFlRYWFhel4F7yIkTJ5ScnJzXZVgxB2C2/DYHgLudp6fnbfvc9SHMz89PKSkpun79us3ZsPj4eFksFvn7+1v7ZbccfVxcXK6faebh4aGKFSvmagwAN9jz6RHgTMHBwfnqLABzAGbLb3MAuJsdO3bMrn53fQjLvM/rxIkTevDBB63tUVFRKlmypLy9va39/vjjD5t9DcPQiRMn1LBhw1zVYLFYVKhQoVyNAQDIG1z6h3sdcwBwHns/SMv5coT5TK1ateTj46NvvvnG2paamqpNmzapcePG1rbGjRvryJEjNg+b3rFjh2JjY9WkSRMzSwYAAABwD8tXZ8KSk5MVGRkpSTp79qwSExO1ceNGSVLdunUVGBiofv366dy5c9bl5728vDRs2DDNnTtXgYGBCgkJ0cqVKxUbG2vzwOiWLVtq4cKFGj16tMaPH6/k5GTNmjVLTZs2ZXl6AAAAAKZxOISdO3dOCxYs0K5du3TlyhXNnz9fderU0eXLl/Xuu++qc+fOOb6x+NKlS3rqqads2jJfL1u2TPXq1VNGRobS09Nt+gwZMkSGYWjJkiW6fPmyKleurMWLF6tMmTLWPh4eHvrggw80bdo0jR8/Xu7u7mrRooUmTZrk4FcAAAAAAHLOoRB27Ngx9e7dWxkZGQoPD9epU6eUlpYmSQoMDNQvv/yipKQkTZ8+PUfjli5dWr///vst+yxfvjxLm8Vi0bBhwzRs2LBb7lu8eHHNnTs3RzUBAAAAgDM5FMJef/11+fr6as2aNZKkBg0a2Gxv0qSJzT1aAAAAAIAbHFqY47///a969eqlwMDAbFcAKVmypGJiYnJdHAAAAAC4GodCmGEY1qXfs3P58mW7HlIGAAAAZMfISL99J8AJ8uJ7zaHLEcPCwhQZGanevXtn2ZaWlqb169erevXquS4OAAAA9yaLWwFd+GGsUmPte/gt4AiPgIoKavq26e/rUAgbOnSohg8frpdeeklt27aVdGNlw59++kkLFixQVFSUJk+e7NRCAQAAcG9JjT2mlEuH8roMwOkcCmFNmjTRa6+9punTp1sX53jmmWdkGIZ8fHw0c+ZM1alTx6mFAgAAAIArcPg5YR07dtRjjz2m7du36+TJk8rIyNADDzygRo0aycfHx5k1AgAAAIDLcDiESVKhQoXUokULZ9UCAAAAAC7PrhB27tw5hwYvWbKkQ/sBAAAAgKuyK4Q1a9Ys2+eB3c7hw4dzvA8AAAAAuDK7Qtj06dNtQlhGRoaWLVumc+fO6fHHH1dwcLAkKSoqSuvWrVOpUqXUp0+fO1MxAAAAANzF7AphnTt3tnn93nvv6fr169q0aZOKFClis2306NHq1auXLl686LwqAQAAAMBFuDmy06pVq9SjR48sAUySAgMD1b17d61cuTLXxQEAAACAq3EohMXGxio5Ofmm25OTkxUbG+toTQAAAADgshwKYdWrV9dHH32kgwcPZtl24MABLV++XOHh4bkuDgAAAABcjUPPCZs8ebL69Omjbt26qXr16ipXrpwkKTo6Wvv27ZO/v79efPFFZ9YJAAAAAC7BoRBWsWJFRUREaNGiRdq6das2bNgg6cZzwfr27avBgwcrKCjIqYUCAAAAgCtwKIRJUtGiRTVp0iRNmjTJmfUAAAAAgEtz6J4wAAAAAIBjCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAih0LYjh079MEHH9i0ffbZZ2ratKkaNGig6dOnKz093SkFAgAAAIArcSiEzZ07V0eOHLG+/v333/XSSy8pMDBQdevW1fLly7V48WKnFQkAAAAArsKhEHb8+HFVrVrV+vqrr76Sj4+PPvnkE7399tvq1q2bvvrqK6cVCQAAAACuwqEQlpycLB8fH+vrH3/8UY0aNVLBggUlSdWqVdO5c+ecUyEAAAAAuBCHQliJEiV04MABSdLJkyd19OhRNWrUyLo9Li5Onp6ezqkQAAAAAFyIuyM7Pf7445o/f75iYmJ07Ngx+fv769FHH7VuP3TokMqVK+esGgEAAADAZTgUwoYPH67U1FRFRkaqRIkSmjFjhvz8/CRJsbGx2r17t/r27evUQgEAAADAFTgUwtzd3TVu3DiNGzcuy7aAgABt374914UBAAAAgCvK9cOaz58/ryNHjigpKckZ9QAAAACAS3M4hH333Xdq1aqVmjRpok6dOmnfvn2SpMuXL6tjx47avHmz04oEAAAAAFfhUAjbsmWLRo8erSJFimjkyJEyDMO6LTAwUMWLF9cXX3zhtCIBAAAAwFU4FMLmz5+v2rVra+XKlerdu3eW7TVq1NDhw4dzXRwAAAAAuBqHQtjRo0fVunXrm24vWrSoLl265HBRAAAAAOCqHAphBQsWVHJy8k23nz59WgEBAY7WBAAAAAAuy6EQVq9ePa1du1ZpaWlZtl24cEFr1qxRo0aNcl0cAAAAALgah0LY2LFj9ddff6lr165avXq1LBaLtm3bprfeekuPP/64DMPQyJEjnV0rAAAAANz1HAph5cuX14oVKxQQEKB33nlHhmFo8eLFWrhwoUJCQrRixQqVLl3a2bUCAAAAwF3P3dEdK1WqpKVLlyouLk4nT56UYRgqU6aMAgMDnVkfAAAAALgUh0NYJn9/f4WHhzujFgAAAABweQ6HsMTERC1dulQ//PCDzp07J0kqWbKkmjZtqv79+8vHx8dpRQIAAACAq7DrnrBly5ZZg5YkxcTEqGPHjpo3b56SkpJUq1Yt1apVS8nJyZo3b546deqk8+fP37GiAQAAAOBuZdeZsKNHj+q9995TZGSkPD099cYbb+jixYtauHChmjRpYtM3MjJSY8eO1ezZszVz5sw7UjQAAAAA3K3sOhM2ePBgxcXF6erVq5KkH3/8Uf369csSwCSpSZMm6tOnjyIjI51bKQAAAAC4ALtC2MSJE9WiRQsVKVJEkpScnKz77rvvpv2LFi2q5ORk51QIAAAAAC7ErhB29OhRlSlTRhkZGZKkChUqaP369UpJScnSNzU1VevXr1eFChUcKuj48eMaMGCAatSooYYNG2rWrFnZvs/f7dq1S6Ghodn+16pVq9v2GzdunEO1AgAAAEBO2XVP2CuvvKLFixcrJiZGJUqU0JAhQzRu3Dh169ZNTzzxhMqVKydJOnHihFatWqXff/9db731Vo6LiYuLU79+/VSuXDnNnTtXMTExmjFjhq5du6bJkyffdL8qVapo9erVNm2JiYkaMmSIGjdunKX/a6+9pvLly1tfZ57hAwAAAIA7za4Q1qpVK5szSq1bt1ZycrJmz56tl156SRaLRZJkGIbuu+8+TZ8+3aa/vVatWqWrV69q3rx5CggIkCSlp6fr5Zdf1rBhw1S8ePFs9/Px8VGNGjVs2r744gtlZGSoXbt2WfpXqlRJ1apVy3F9AAAAAJBbDj8nrHPnzmrfvr0OHjxo85ywqlWryt3dsWG3bt2q+vXrWwOYdCPwvfTSS9q+fbs6d+5s91jr1q1TuXLleJA0AAAAgHzF4RAmSe7u7qpRo0aWs1COioqKUpcuXWza/Pz8FBQUpKioKLvHuXjxonbu3KkRI0Zku33o0KGKjY1VUFCQ2rZtq6eeekre3t65qh0AAAAA7OFQCDt8+LCOHz9uc6nfjz/+qAULFiglJUXt2rVTv379cjxufHy8/Pz8srT7+/srLi7O7nE2bNig9PT0LJci+vr6avDgwapTp468vLy0c+dOLVmyRFFRUVq4cGGO681kGIaSkpIc3h/A/1gsFhUsWDCvy8A9JDk5WYZh5HUZVswBmC2/zQGJeQDzOWseGIZhvVXrVhwKYa+//rq8vb2tIef06dMaNWqUAgICVKxYMc2YMUPe3t7q0aOHI8PnWkREhKpUqaLg4GCb9rCwMIWFhVlf169fX8WKFdPUqVO1f/9+hy9dTE1N1eHDh3NVM4AbChYsaDNPgTvtxIkT+eqxKswBmC2/zQGJeQDzOXMeeHp63raPQyHsyJEjGjRokPX1V199JTc3N3355ZcKDAzU2LFjtWrVqhyHMD8/PyUkJGRpj4uLk7+/v11jnDp1Svv379fEiRPt6t+6dWtNnTpVBw8edDiEeXh4qGLFig7tC8CWPZ8eAc4UHBycr84CMAdgtvw2ByTmAcznrHlw7Ngxu/o5FMISEhJsFs+IjIxUw4YNFRgYKElq2LChtm7dmuNxy5cvn+Xer4SEBF24cMFmSflbiYiIkJubm9q0aZPj93eUxWJRoUKFTHs/AIDzcMkT7nXMAcB588DeDxDseljzPwUFBen48eOSpPPnz+vQoUNq2LChdfvVq1fl5pbzoRs3bqyffvpJ8fHx1raNGzfKzc3NZvxbWb9+verWratixYrZ3V8SS9YDAAAAMIVDZ8IeffRRffzxx0pJSdG+ffvk6empFi1aWLf//vvvKlOmTI7H7dmzp5YvX66RI0dq2LBhiomJ0axZs9SzZ0+bZ4T169dP586d0+bNm232/+2333T8+HENGDAg2/EnTJigsmXLKiwszLowx9KlS9W8eXNCGAAAAABTOBTCxo4dq8uXL+urr76Sr6+vXnvtNRUtWlSSlJiYqI0bN6p37945Htff318fffSRXnnlFY0cOVKFCxdW165dNW7cOJt+GRkZSk9Pz7J/RESEPD091bJly2zHr1SpkiIiIrRkyRKlpqaqVKlSGj58uIYOHZrjWgEAAADAERbDyXdiZmRk6OrVq/L29paHh4czh86XDhw4IInLGQFnO7e2nVIuHcrrMuDCPO+ropId1+V1GTfFHMCdlt/ngMQ8wJ3n7HlgbzbI1cOa/yklJUVpaWny9fV15rAAAAAA4DIcWphj/fr1mj59uk3bvHnzVKtWLdWpU0cjR47U1atXnVIgAAAAALgSh0LYkiVLbB5mtmfPHs2bN0+NGjVSv3799OOPP2rBggVOKxIAAAAAXIVDlyOePn1anTp1sr5et26dihYtqnnz5snd3V2GYWjTpk16+umnnVYoAAAAALgCh86EpaSkyMvLy/p6+/btaty4sdzdb2S6ChUq6K+//nJOhQAAAADgQhwKYaVLl9ZPP/0k6cYKICdPntTDDz9s3X7p0iUVKlTIORUCAAAAgAtx6HLEHj166NVXX9WxY8cUExOj+++/X4888oh1+549e1SxYkWnFQkAAAAArsKhENanTx95eXkpMjJSVatW1eDBg+Xt7S1Jio2N1YULF9SrVy+nFgoAAAAArsDh54R1795d3bt3z9IeEBCgL774IldF3cuMjHRZ3ArkdRm4B/C9BgAAkDec+rBm5J7FrYAu/DBWqbHH8roUuDCPgIoKavp2XpcBAABwT7IrhPXp00dubm5avHix3N3d1bdv39vuY7FY9NFHH+W6wHtRauwxpVw6lNdlAAAAALgD7D4TlpGRYf23YRi37W9PHwAAAAC419gVwpYvX37L1wAAAAAA+zj0nDAAAAAAgGNytTBHamqqYmJiFB8fn+3lh1WqVMnN8AAAAADgchwKYfHx8Zo5c6YiIiKUmpqaZbthGLJYLDp8+HCuCwQAAAAAV+JQCHvuuef0/fffq02bNqpevbp8fX2dXRcAAAAAuCSHQtj27dvVp08fTZo0ydn1AAAAAIBLc2hhjoCAAJUtW9bZtQAAAACAy3MohHXv3l3r16+3eXYYAAAAAOD2HLocceTIkUpJSVGXLl3UoUMHFS9eXAUKFMjS77HHHst1gQAAAADgShwKYTExMdq1a5cOHz580xUQWR0RAAAAALJyKIRNmjRJhw4d0rBhwxQeHs7qiAAAAABgJ4dC2C+//KIhQ4ZozJgxzq4HAAAAAFyaQwtzFC1aVP7+/s6uBQAAAABcnkMhbMCAAfrss8909epVZ9cDAAAAAC7NocsRU1JS5O7urscee0ytW7fW/fffn2V1RIvFov79+zujRgAAAABwGQ6FsJkzZ1r//fHHH2fbhxAGAAAAAFk5FML+85//OLsOAAAAALgnOBTCSpUq5ew6AAAAAOCeYPfCHPv371dsbKxdfU+fPq21a9c6WBIAAAAAuC67Q1iPHj30448/Wl/HxsaqevXq2r17d5a+e/fu1cSJE51TIQAAAAC4ELtDmGEYWV5fv35d6enpTi8KAAAAAFyVQ88JAwAAAAA4hhAGAAAAACYihAEAAACAiXK0RP3Zs2d16NAhSVJCQoIk6eTJk/Lz87Ppd+bMGSeVBwAAAACuJUch7J133tE777xj0/byyy9n6WcYhiwWS+4qAwAAAAAXZHcIe+211+5kHQAAAABwT7A7hHXq1OlO1gEAAAAA9wQW5gAAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATued1Af90/PhxTZs2TXv37lXhwoXVoUMHjR07Vp6enrfcr1mzZjp79myW9v3798vLy8v6OiYmRtOmTdO2bdvk4eGhFi1aaOLEifLx8XH6sQAAAADAP+WrEBYXF6d+/fqpXLlymjt3rmJiYjRjxgxdu3ZNkydPvu3+LVu21MCBA23a/h7eUlNTNXjwYEnS7Nmzde3aNc2cOVNPP/20Fi5c6NyDAQAAAIBs5KsQtmrVKl29elXz5s1TQECAJCk9PV0vv/yyhg0bpuLFi99y/6JFi6pGjRo33f7tt9/q6NGj2rBhg8qXLy9J8vPz06BBg7R//36Fh4c761AAAAAAIFv56p6wrVu3qn79+tYAJkmtW7dWRkaGtm/f7pTxQ0NDrQFMkho2bKiAgABFRkbmenwAAAAAuJ18FcKioqJsApJ040xVUFCQoqKibrt/RESEqlatqpo1a2rIkCH6/fffbzu+xWJRcHCwXeMDAAAAQG7lq8sR4+Pj5efnl6Xd399fcXFxt9y3WbNmCg8PV8mSJXX69GktWLBATzzxhNauXasyZcpYx/f19XVo/FsxDENJSUkO75/JYrGoYMGCuR4HsFdycrIMw8jrMmwwD2C2/DYPmAMwW36bAxLzAOZz1jwwDEMWi+W2/fJVCMuNF154wfrv2rVrq2HDhmrdurUWL16sKVOm3NH3Tk1N1eHDh3M9TsGCBRUWFuaEigD7nDhxQsnJyXldhg3mAcyW3+YBcwBmy29zQGIewHzOnAe3W9VdymchzM/PTwkJCVna4+Li5O/vn6OxihUrpoceekiHDh2yGT8xMTHb8UuUKJHzgv8/Dw8PVaxY0eH9M9mTmgFnCg4OzpeffgJmym/zgDkAs+W3OSAxD2A+Z82DY8eO2dUvX4Ww8uXLZ7k3KyEhQRcuXMhyL5ej4//xxx82bYZh6MSJE2rYsKHD41osFhUqVCi35QGm41IPgHkAMAcA580Dez9AyFcLczRu3Fg//fST4uPjrW0bN26Um5tbjkNSTEyMfvnlF1WrVs1m/CNHjig6OtratmPHDsXGxqpJkya5rh8AAAAAbidfnQnr2bOnli9frpEjR2rYsGGKiYnRrFmz1LNnT5tnhPXr10/nzp3T5s2bJUnr1q3T999/ryZNmqhYsWI6ffq0Fi1apAIFCmjAgAHW/Vq2bKmFCxdq9OjRGj9+vJKTkzVr1iw1bdqUZ4QBAAAAMEW+CmH+/v766KOP9Morr2jkyJEqXLiwunbtqnHjxtn0y8jIUHp6uvV16dKldf78eU2fPl0JCQny9fXVv/71L40ZM8a6MqJ0496tDz74QNOmTdP48ePl7u6uFi1aaNKkSaYdIwAAAIB7W74KYZJUoUIFLV269JZ9li9fbvO6Ro0aWdpupnjx4po7d66j5QEAAABAruSre8IAAAAAwNURwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABM5J7XBfzT8ePHNW3aNO3du1eFCxdWhw4dNHbsWHl6et50n/Pnz2vp0qXavn27Tp06JV9fX9WpU0fjx49XqVKlrP127dqlvn37Ztm/TZs2euutt+7I8QAAAADA3+WrEBYXF6d+/fqpXLlymjt3rmJiYjRjxgxdu3ZNkydPvul+hw4d0ubNm9WlSxdVr15dV65c0Xvvvadu3bpp3bp1CgwMtOn/2muvqXz58tbXRYoUuWPHBAAAAAB/l69C2KpVq3T16lXNmzdPAQEBkqT09HS9/PLLGjZsmIoXL57tfg899JC++eYbubv/73Bq1aqlpk2bau3atRo4cKBN/0qVKqlatWp37DgAAAAA4Gby1T1hW7duVf369a0BTJJat26tjIwMbd++/ab7+fn52QQwSbr//vsVGBio8+fP36lyAQAAACDH8lUIi4qKsrlMULoRsIKCghQVFZWjsU6cOKFLly6pQoUKWbYNHTpUlStXVuPGjTVz5kxdu3YtV3UDAAAAgL3y1eWI8fHx8vPzy9Lu7++vuLg4u8cxDEPTpk1TsWLF1LZtW2u7r6+vBg8erDp16sjLy0s7d+7UkiVLFBUVpYULFzpct2EYSkpKcnj/TBaLRQULFsz1OIC9kpOTZRhGXpdhg3kAs+W3ecAcgNny2xyQmAcwn7PmgWEYslgst+2Xr0KYs8ydO1c7d+7UBx98oEKFClnbw8LCFBYWZn1dv359FStWTFOnTtX+/fsVHh7u0Pulpqbq8OHDua67YMGCNvUBd9qJEyeUnJyc12XYYB7AbPltHjAHYLb8Ngck5gHM58x5cKtV3TPlqxDm5+enhISELO1xcXHy9/e3a4w1a9Zo/vz5evXVV1W/fv3b9m/durWmTp2qgwcPOhzCPDw8VLFiRYf2/Tt7UjPgTMHBwfny00/ATPltHjAHYLb8Ngck5gHM56x5cOzYMbv65asQVr58+Sz3fiUkJOjChQtZ7hXLzubNmzVlyhSNGTNGXbt2vVNlZmGxWGzOuAF3Cy71AJgHAHMAcN48sPcDhHy1MEfjxo31008/KT4+3tq2ceNGubm5qWHDhrfcd9euXRo/fry6deumkSNH2v2e69evlySWrAcAAABginx1Jqxnz55avny5Ro4cqWHDhikmJkazZs1Sz549bZ4R1q9fP507d06bN2+WJB0/flwjR45UuXLl1KFDB/3666/WvoGBgXrggQckSRMmTFDZsmUVFhZmXZhj6dKlat68OSEMAAAAgCnyVQjz9/fXRx99pFdeeUUjR45U4cKF1bVrV40bN86mX0ZGhtLT062v9+3bp4SEBCUkJKhXr142fTt16qQZM2ZIuvGQ5oiICC1ZskSpqakqVaqUhg8frqFDh975gwMAAAAA5bMQJkkVKlTQ0qVLb9ln+fLlNq87d+6szp0733bsYcOGadiwYbkpDwAAAAByJV/dEwYAAAAAro4QBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGCifBfCjh8/rgEDBqhGjRpq2LChZs2apZSUlNvuZxiGFi1apKZNmyo8PFw9evTQr7/+mqVfTEyMRo8erZo1a6pu3bp6/vnnlZiYeAeOBAAAAACyylchLC4uTv369VNqaqrmzp2rcePGac2aNZoxY8Zt933//fc1Z84c9e/fXwsXLlRQUJAGDhyo06dPW/ukpqZq8ODBio6O1uzZszVlyhRt27ZNTz/99J08LAAAAACwcs/rAv5u1apVunr1qubNm6eAgABJUnp6ul5++WUNGzZMxYsXz3a/69eva+HChRo4cKD69+8vSXrooYfUqlUrLV68WFOmTJEkffvttzp69Kg2bNig8uXLS5L8/Pw0aNAg7d+/X+Hh4Xf6EAEAAADc4/LVmbCtW7eqfv361gAmSa1bt1ZGRoa2b99+0/327NmjxMREtW7d2trm6empFi1aaOvWrTbjh4aGWgOYJDVs2FABAQGKjIx07sEAAAAAQDbyVQiLioqyCUjSjTNVQUFBioqKuuV+krLsW6FCBZ07d07Xrl276fgWi0XBwcG3HB8AAAAAnCVfXY4YHx8vPz+/LO3+/v6Ki4u75X6enp7y8vKyaffz85NhGIqLi5O3t7fi4+Pl6+ub4/FvJTU1VYZhaP/+/Q7t/08Wi0XppSZIJVKdMh6QLTcPXTpwQIZh5HUl2WIewBT5eB4wB2CKfDwHJOYBTOLkeZCamiqLxXLbfvkqhN2NMr/I9nyx7VXA+z6njQXcijO/b52NeQCz5Nd5wByAWfLrHJCYBzCPs+aBxWK5+0KYn5+fEhISsrTHxcXJ39//lvulpKTo+vXrNmfD4uPjZbFYrPv6+flluxx9XFycSpQo4VDNNWvWdGg/AAAAAPemfHVPWPny5bPcm5WQkKALFy5kuZfrn/tJ0okTJ2zao6KiVLJkSXl7e990fMMwdOLEiVuODwAAAADOkq9CWOPGjfXTTz8pPj7e2rZx40a5ubmpYcOGN92vVq1a8vHx0TfffGNtS01N1aZNm9S4cWOb8Y8cOaLo6Ghr244dOxQbG6smTZo492AAAAAAIBsWIx/djRkXF6e2bdsqODhYw4YNU0xMjGbMmKHHH39ckydPtvbr16+fzp07p82bN1vbFi1apLlz52rChAkKCQnRypUrtW3bNn311VcqU6aMpBvBrHPnzpKk8ePHKzk5WbNmzVJoaKgWLlxo7sECAAAAuCflqxAmScePH9crr7yivXv3qnDhwurQoYPGjRsnT09Pa58+ffro7Nmz2rJli7XNMAwtWrRIK1as0OXLl1W5cmVNnDgxyz1bMTExmjZtmrZt2yZ3d3e1aNFCkyZNko+Pj2nHCAAAAODele9CGAAAAAC4snx1TxgAAAAAuDpCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYXBpPIscYB4AAJDfEMLg0iwWiyQpPT09jysB8g7zAPc6PogA/icjIyOvS4Ak97wuAHC25ORkffXVVzp//rwCAwPVokULFS9ePK/LAkyVlJSkNWvW6OLFiypSpIjatGmjEiVK5HVZgKlSUlJ0+fJl3X///TIMw/qBBHCvuH79unbs2KHo6GgVKVJEDz/8sAIDA5WRkSE3N87F5CWLwcdDcCGJiYnq3r27ChQooMTERElSQkKCxo0bpxYtWqhYsWJ5XCFw5129elVdunRRoUKFlJycrPT0dF24cEHjx49Xy5YtmQe4JyQlJalfv37y9vbWtGnTVLZsWYIY7imJiYnq16+frl+/rrNnz8rT01NBQUFasmSJihUrxnzIY0RguIz09HS98MIL8vPz0zvvvKONGzfq3Xff1cMPP6zp06frgw8+UHR0dF6XCdxxb7zxhgoXLqx3331XX331lT766CN169ZNr776qhYtWqSTJ0/mdYnAHZWSkqKJEyfqwIEDOnfunN544w1FR0fLYrFwaSLuCdeuXdOQIUMUEBCg1157Tdu2bdPzzz+v1NRUzZw5UykpKQSwPMbliHAZV69eVXR0tJo3b67y5ctLkkJDQzVhwgTFxcXp008/VYECBTRgwADOBMBlGYahv/76S6Ghobr//vslSSVKlNCkSZN0//336+2331ZGRoaGDRvGZbpwWTt27NDPP/+s4cOHy9vbW1988YXeeOMNTZgwQeXKleMMAFyaYRhas2aNMjIyNGbMGIWFhalAgQJq37699u7dq23btiklJUWenp55Xeo9jTNhcBmenp6yWCy6dOmStc3NzU2lSpVSaGiokpOT9fHHH2v79u2SuDEVrsliscjb21tHjx61tqWlpUmSBg4cqHHjxmnFihVav369JOYBXJOnp6caN26sJ598UsOHD1fXrl31xx9/cEYM94w//vhDXl5eqlKligoUKGD9PdC+fXtdvHhRx44dy+MKQQiDy/D09FRwcLB+/PFH/fLLLza/YEuVKqUBAwaoS5cuev3113X58mVuSIVLMQzDuvph3bp1deHCBUVERCgjI0Pu7u7WX8ADBgzQwIEDNWfOHJ0+fZp5AJeS+XO/bt26mjJlivWT/qFDh6pbt25ZghjgajIyMmSxWDRx4kS9+uqrcnd3l2EYcne/cfGbr6+vUlNTlZKSku2+MA+/fXFXy/yFaxiG3Nzc9MILLyg9PV1Tp07VN998o7Nnz2rPnj2aNWuWChcurDFjxigoKIhPgOByLBaLChQoIEnq2LGjAgMDtWDBAu3fv9/6CzgziA0ePFhlypTRmjVrZBgGZwTgMjKDVYECBeTl5SXDMKx/WA4ZMsQmiJ0+fVqSdPr0aUVFReVZzYAzZX6wVrhwYZUpUybLpbeBgYHy9vZWQkKCtS05OVkJCQl8KGcy7gnDXSk5OVnnzp1ThQoVrD9g0tPTFRgYqOXLl2v48OF6+eWXlZGRoaSkJLVr106jRo2SJF24cEHR0dGqW7duHh8FkDvJyclatWqVjh8/rmvXrql///6qUKGCChYsqPfee0/du3fX9OnT9cILL6hq1arWT0IDAwNVuHBhXbhwgbMBuOtlNw9CQ0Pl4eEhi8Uii8ViXY57yJAhMgxDn332mWbOnKnevXtr6dKlOnHihL766isVLFgwrw8HyLHbzYG/8/f3l7u7u+Li4iTdWEFx8uTJ+u2337Ru3ToVKFCA3wsmIYThrpOcnKy2bdvq3Llz+vTTT1WtWjUZhqECBQooIyNDpUuX1ueff64dO3bo4sWLCggIUPPmzWUYhg4cOKCgoCCFhITk9WEAuZKYmKgnnnjC+ml/YmKiBg4cqJkzZ+qRRx5R8eLFtWjRIg0ZMkTPP/+8Ro0apZYtW1r3LVy4sPVZMZl/qAJ3m9vNg8zw5ebmZv330KFDZbFYtGbNGo0cOVIFChTQkiVLCGC4K9k7B6QblxumpaXJYrEoLS1NGRkZmjVrliIjI/Xhhx9aP6iDOXhOGO4qqampmjp1qr7//nsVKlRIsbGx+uCDDxQeHm5zRizzsqy/i4mJ0TvvvKNffvlFy5YtY2U43LVSUlI0bNgwSdKUKVNUvHhxpaSkaNy4cTp9+rTNJ/p//vmnhg0bpsTERAUHB6tq1ao6evSodu/erdWrV6tChQp5eSiAw3IyDzJl/p6IiYlRnz59FBsbq08++USVKlXKi0MAciWncyAtLU2GYahFixbq1auXLly4oE8//VQrV65UWFhYXh3GPYuLP3FXOXTokNatW6dHH31UM2fOVFhYmAYNGqT9+/dbV7vKLoDt3LlTU6dO1ZYtW/TOO+8QwHBX++GHH3T+/HkNGjRIDzzwgLy9veXn56e+ffvq4sWLOnDggKQbz84rUaKEVq1apV69esnNzU3btm2Tm5ubVqxYQQDDXc3eefB3FotF58+f14svvqi//vpLH3/8MQEMd62czgF3d3d5eHgoMDBQc+bM0eeff64VK1YQwPIIIQx3lRo1aqhXr16aMGGCatasqaefflqVK1fWwIEDtW/fvmyXHc5clCAkJESffPKJHnzwwTyqHnCOq1evqlKlSqpTp47N93zNmjWVnp5uXXCgQIECSk9PV6FChTRkyBC9//77Wrlypd566y0uycVdz9558E9ubm4KCgrSihUrmAe4q+V0DmSuouvu7q709HR9+umnqlKlSl6UDnE5Iu4iN7vM8NChQ5o5c6Z+++03LV68WNWrV7duS0tLsy7PmpaWJg8PDzNLBu6I+Ph4JSYmqmTJktbr/VNTU5WRkaFWrVpp+PDh6tGjh7U/D6aFK8rpPPg7HlQLV5DTOZDZJzExUZcvX9YDDzyQh9WDM2HI19LT05WQkKBr165ZP+HJfBZS5usqVaro3//+t82lidKNZYc3bNigP//8UxaLhQCGu9bf50FKSor8/Px0//33S/rfcsTu7u7y8vJS4cKFFRMTY903OTlZv/zyi+Lj4/OkdsBZcjsPfv75Z8XGxkoSAQx3pdzOgT179ujy5cvy8fEhgOUDLIOCfCsxMVHPPPOMzp8/r8TERNWqVUt9+vSxXrv892WHq1SpomeffVavv/66Bg4cqOnTp+urr77S4cOHtWrVqjw+EsBxt5sHmTLPdLm7u1sDV2JioqZOnap9+/YxD3BXYx7gXscccD2cCUO+dO3aNfXq1UsJCQnq1KmTmjRpoqNHj6p79+5au3at9aGzbm5u1jNiVatW1b///W+FhoZqzJgx2rlzp+bOnatixYrl5aEADrN3Hkiy/jswMFBpaWlKS0vTjBkztHnzZr3xxhsqUqRIXh0GkCvMA9zrmAOuiTNhyJd27Nih9PR0vfzyy9YV3KKiovTRRx9p0qRJio2NVe/evbM8iNDHx0cWi0V+fn5asWKFKlasmFeHAORaTuZB5qUoPj4++uuvv/Tyyy/r66+/1qpVq1j5Cnc15gHudcwB10QIQ74UHx+vU6dO2Tzfonz58nruuefk5+enWbNmycfHR127drVeknjlyhW98cYbOnTokFauXEkAw10vJ/Mgk4+Pj7744gsVKlSIX7pwCcwD3OuYA66JyxGRr2RkZEiSihcvroCAAO3bt89myfmCBQtq5MiR6tmzp6ZMmaIDBw5YP/UpUqSIQkJCtGLFCpahx13N0XlgGIYqVqyo4OBgrVmzhl+6uKsxD3CvYw64NpaoR75y/fp1eXl5SZK6deumtLQ0LV68WIGBgdYzXtKNlQ///e9/q0iRInrzzTfl7u6e7fL1wN3IkXkwe/ZseXt7Ky4uTikpKQoKCsrLQwByjXmAex1zwLVxJgx5LikpSfPnz9eYMWM0btw468o9r776qmJiYvTss88qLS3NZhGOMmXK6OGHH9Zvv/2m69evE8Bw13PGPJAkf39/funirsU8wL2OOXDvIIQhT129elXdu3dXZGSkkpOTFR8frylTpmjRokUKCQnRiy++qH379mnEiBGKi4uzWYQjODhYBQoUUHJych4eAZB7zpgH165dy8MjAHKPeYB7HXPg3sLCHMgzKSkpevrpp1WsWDG99NJLKlu2rC5evKgFCxbo/fffV7NmzdSsWTMZhqHp06dr0KBBGj16tGrUqKHU1FRt2bJFAQEBKly4cF4fCuAw5gHAPACYA/ceQhjyzM6dO3X+/HkNHz5cZcqUkSQVLVpUjz32mD799FNFR0erYsWKat68ucqWLavJkydr0qRJSk1NVenSpXX27Fl99NFH8vHxyeMjARzHPACYBwBz4N5DCEOeKV26tHx8fNSgQQO5ublZbzKtW7euSpQooQMHDqh58+by8PBQlSpV9Pnnn+u7777T6dOn5efnp7p161p/UAF3K+YBwDwAmAP3HkIY8kz58uW1cOFCFSxY0GaVH0kqVKiQrl69KkmyWCxKT09XgQIF1Lx587wqF7gjmAcA8wBgDtx7WJgDeSrzwYOZP2zS09MlSYULF7a5uTQ5OVlbtmwRT1SAK2IeAMwDgDlwbyGEIV/JXGre19dXV65ckSQlJCRo+vTpevLJJ3Xx4sW8LA8wBfMAYB4AzAHXRghDvuTp6ank5GRdu3ZNs2bN0saNG/XZZ5/xzAvcU5gHAPMAYA64JkIY8pWMjAxJN07Jp6Wlafr06fr666/18ccfq2rVqnlcHWAO5gHAPACYA66NhTmQr2ReB12sWDF9+eWX+u2337RixQqFhYXlcWWAeZgHAPMAYA64Ns6EIV9q2bKlAgMDtXr1alWpUiWvywHyBPMAYB4AzAHXZDFYWgX51LVr1+Tt7Z3XZQB5inkAMA8A5oDrIYQBAAAAgIm4HBEAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAALLxySefKDQ0VN26dcvrUgAALoYQBgBANiIiIlSqVCnt379fJ0+ezOtyAAAuhBAGAMA/nD59Wnv37tXEiRMVGBioiIiIvC4JAOBCCGEAAPxDRESE/P391aRJE7Vs2TJLCDtz5oxCQ0O1ePFirV69Ws2bN1fVqlXVpUsX7d+/P8t4O3bs0BNPPKEaNWqodu3aGjFihI4fP27W4QAA8hlCGAAA/xAREaEWLVrI09NT7dq1U3R0dLbhat26dVq8eLF69OihsWPH6uzZsxo9erRSU1OtfX766ScNHjxYly5d0qhRo9S/f3/t3btXvXr10pkzZ8w8LABAPuGe1wUAAJCfHDx4UFFRUXrxxRclSQ899JDuv/9+RUREKDw83KbvuXPntGnTJvn7+0uSgoOD9eSTT2rbtm165JFHJEmzZs2Sv7+/Vq9erYCAAElS8+bN1alTJ82dO1czZ8407+AAAPkCZ8IAAPibiIgIFS1aVPXq1ZMkWSwWtWnTRhs2bFB6erpN3zZt2lgDmCTVrl1b0o17yiTp/PnzOnz4sDp16mQNYJL04IMPqkGDBoqMjLzDRwMAyI8IYQAA/H/p6elav3696tWrpzNnzujkyZM6efKkwsPDdfHiRe3YscOmf4kSJWxeZway+Ph4STfOlEk3zpD9U4UKFXTlyhUlJSXdiUMBAORjXI4IAMD/t3PnTl24cEHr16/X+vXrs2yPiIhQo0aNrK8LFCiQ7TiGYdyxGgEAdz9CGAAA/19ERITuu+8+TZ48Ocu2zZs3a/PmzXr55ZftHq9kyZKSpBMnTmTZFhUVpSJFiqhQoUKOFwwAuCsRwgAAkHTt2jVt2rRJrVq1UqtWrbJsL1asmNatW6ctW7ZkWaDjZooVK6bKlStr7dq1GjZsmPz8/CRJf/zxh7Zv36727ds79RgAAHcH7gkDAEDSli1bdPXqVTVr1izb7TVq1FBgYKC+/vrrHI377LPPKjY2Vj169NDixYs1f/589evXT76+vho1apQzSgcA3GUIYQAASPr666/l5eWlhg0bZrvdzc1NTZs21bZt2xQbG2v3uA0aNNAHH3yggIAAzZkzR0uWLFH16tW1cuVKlSlTxknVAwDuJhaDu4cBAAAAwDScCQMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAE/0/6Kdrk4Wxvi4AAAAASUVORK5CYII=\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Gráfico de barras empilhadas: Desmatamento e CO₂ emitido nos 10 municípios com mais desmatamento\n", - "plt.figure(figsize=(12,7))\n", - "\n", - "# Selecionar os 10 municípios com maiores áreas desmatadas\n", - "municipios_mais_desmatados = df_integrado.groupby('MUNICIPIO')['AREAHA'].sum().nlargest(10).index\n", - "\n", - "# Filtrar o DataFrame para incluir apenas os 10 municípios selecionados\n", - "df_municipios_desmatados = df_integrado[df_integrado['MUNICIPIO'].isin(municipios_mais_desmatados)]\n", - "\n", - "# Criar gráfico de barras empilhadas com área desmatada e CO₂ emitido\n", - "sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, hue='ANO', ci=None, palette='viridis')\n", - "plt.title('Emissões de CO₂ nos 10 Municípios com Mais Desmatamento por Ano', fontsize=14)\n", - "plt.xlabel('Município', fontsize=12)\n", - "plt.ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", - "plt.xticks(rotation=45)\n", - "plt.legend(title='Ano')\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 865 - }, - "id": "8Ko5txG75U2l", - "outputId": "28dc4b4d-046c-4ac5-9391-854a5e0c9e4a" - }, - "execution_count": 202, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":11: FutureWarning: \n", - "\n", - "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", - "\n", - " sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, hue='ANO', ci=None, palette='viridis')\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Gráfico de barras para Emissões de CO2 por Município\n", - "\n", - "# Ordenar os municípios por CO2_emitido\n", - "df_sorted = df.sort_values(by='CO2_emitido', ascending=False)\n", - "\n", - "# Criar gráfico de barras para CO2 emitido por município\n", - "plt.figure(figsize=(12,8))\n", - "sns.barplot(x='CO2_emitido', y='MUNICIPIO', data=df_sorted, palette='Reds')\n", - "\n", - "plt.title('Emissões de CO2 por Município (Cerrado, Bahia)', fontsize=16)\n", - "plt.xlabel('Emissões de CO2 (toneladas)', fontsize=12)\n", - "plt.ylabel('Município', fontsize=12)\n", - "plt.tight_layout()\n", - "plt.show()\n", - "\n", - "\n", - "# Gráfico de barras para Área Desmatada por Município\n", - "\n", - "# Ordenar os municípios por área desmatada\n", - "df_sorted_area = df.sort_values(by='AREAHA', ascending=False)\n", - "\n", - "# Criar gráfico de barras para área desmatada por município\n", - "plt.figure(figsize=(12,8))\n", - "sns.barplot(x='AREAHA', y='MUNICIPIO', data=df_sorted_area, palette='Greens')\n", - "\n", - "plt.title('Área Desmatada por Município (Cerrado, Bahia)', fontsize=16)\n", - "plt.xlabel('Área Desmatada (hectares)', fontsize=12)\n", - "plt.ylabel('Município', fontsize=12)\n", - "plt.tight_layout()\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "wDDP5Z0M6G7A", - "outputId": "02532576-f4a3-4429-c661-9a76e40db040" - }, - "execution_count": 204, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":8: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='CO2_emitido', y='MUNICIPIO', data=df_sorted, palette='Reds')\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":24: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='AREAHA', y='MUNICIPIO', data=df_sorted_area, palette='Greens')\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "import numpy as np\n", - "\n", - "# Criar gráfico de dispersão\n", - "plt.figure(figsize=(12, 8))\n", - "sns.scatterplot(data=df, x='AREAHA', y='CO2_emitido', color='blue', alpha=0.6)\n", - "\n", - "# Calcular a linha de tendência\n", - "x = df['AREAHA']\n", - "y = df['CO2_emitido']\n", - "m, b = np.polyfit(x, y, 1) # Ajustar uma linha de tendência (y = mx + b)\n", - "plt.plot(x, m*x + b, color='red', linewidth=2, label='Linha de Tendência')\n", - "\n", - "# Adicionar títulos e rótulos\n", - "plt.title('Relação entre Área Desmatada e Emissões de CO2', fontsize=16)\n", - "plt.xlabel('Área Desmatada (hectares)', fontsize=12)\n", - "plt.ylabel('Emissões de CO2 (toneladas)', fontsize=12)\n", - "plt.legend()\n", - "plt.tight_layout()\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 801 - }, - "id": "V4nELkDH7DpW", - "outputId": "c24043ac-034b-46e5-fdad-b1724bb864ce" - }, - "execution_count": 205, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Calcular a correlação\n", - "correlacao = df['AREAHA'].corr(df['CO2_emitido'])\n", - "print(f'A correlação entre a área desmatada e CO2 emitido é: {correlacao}')\n", - "\n", - "# Interpretar a correlação\n", - "if correlacao > 0:\n", - " print(\"Correlação positiva: À medida que a área desmatada aumenta, as emissões de CO2 também tendem a aumentar.\")\n", - "elif correlacao < 0:\n", - " print(\"Correlação negativa: À medida que a área desmatada aumenta, as emissões de CO2 tendem a diminuir.\")\n", - "else:\n", - " print(\"Sem correlação: Não há relação clara entre as duas variáveis.\")\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "TeNn7MIA7Xl1", - "outputId": "faf6398b-7cdd-46c3-f24c-20883febeea3" - }, - "execution_count": 206, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "A correlação entre a área desmatada e CO2 emitido é: 0.1923958344678577\n", - "Correlação positiva: À medida que a área desmatada aumenta, as emissões de CO2 também tendem a aumentar.\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# 5. Gráfico de calor: Correlação entre desmatamento e CO₂ emitido\n", - "plt.figure(figsize=(8,6))\n", - "correlation_matrix = df_integrado[['AREAHA', 'CO2_emitido']].corr()\n", - "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', linewidths=0.5)\n", - "plt.title('Correlação entre Desmatamento e CO₂ Emitido', fontsize=14)\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 551 - }, - "id": "qAKx9_Wo45Zm", - "outputId": "30835f3c-3b77-494d-ea24-84cc0c206947" - }, - "execution_count": 208, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "# Gráfico de dispersão: Relação entre área desmatada e CO₂ emitido\n", - "plt.figure(figsize=(10,6))\n", - "sns.scatterplot(x='AREAHA', y='CO2_emitido', data=df_integrado, hue='ANO', palette='coolwarm', s=100)\n", - "plt.title('Relação entre Área Desmatada e CO₂ Emitido', fontsize=14)\n", - "plt.xlabel('Área Desmatada (ha)', fontsize=12)\n", - "plt.ylabel('CO₂ Emitido (ton)', fontsize=12)\n", - "plt.legend(title='Ano')\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 577 - }, - "id": "rodHy-585rfa", - "outputId": "38c0b0ce-c726-4c3f-af74-2f685417db0d" - }, - "execution_count": 209, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Gráficos separados: Desmatamento e CO₂ por município para os 10 municípios mais desmatados\n", - "fig, axs = plt.subplots(2, 1, figsize=(12, 10))\n", - "\n", - "# Gráfico de barras para desmatamento nos 10 municípios mais desmatados\n", - "sns.barplot(x='MUNICIPIO', y='AREAHA', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[0], color='teal')\n", - "axs[0].set_title('Área Desmatada nos 10 Municípios (Bahia)', fontsize=14)\n", - "axs[0].set_xlabel('Município', fontsize=12)\n", - "axs[0].set_ylabel('Área Desmatada (ha)', fontsize=12)\n", - "axs[0].set_xticklabels(axs[0].get_xticklabels(), rotation=45)\n", - "\n", - "# Gráfico de barras para CO₂ nos 10 municípios mais desmatados\n", - "sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[1], color='orange')\n", - "axs[1].set_title('Emissões de CO₂ nos 10 Municípios (Bahia)', fontsize=14)\n", - "axs[1].set_xlabel('Município', fontsize=12)\n", - "axs[1].set_ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", - "axs[1].set_xticklabels(axs[1].get_xticklabels(), rotation=45)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n" - ], - "metadata": { - "id": "nYQ-1hJwWP_m", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "8acdd901-1a1d-4bf5-8fb1-4fa024a9f0c1" - }, - "execution_count": 210, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":5: FutureWarning: \n", - "\n", - "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", - "\n", - " sns.barplot(x='MUNICIPIO', y='AREAHA', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[0], color='teal')\n", - ":9: UserWarning: FixedFormatter should only be used together with FixedLocator\n", - " axs[0].set_xticklabels(axs[0].get_xticklabels(), rotation=45)\n", - ":12: FutureWarning: \n", - "\n", - "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", - "\n", - " sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[1], color='orange')\n", - ":16: UserWarning: FixedFormatter should only be used together with FixedLocator\n", - " axs[1].set_xticklabels(axs[1].get_xticklabels(), rotation=45)\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**CRIANDO UM BANCO DE DADOS**\n", - "\n", - "\n", - "Vamos começar lendo dados de um arquivo CSV e inserindo-os em uma tabela do banco de dados SQLite." - ], - "metadata": { - "id": "3cmdxAhsfFZG" - } - }, - { - "cell_type": "code", - "source": [ - "import sqlite3\n", - "import pandas as pd\n", - "from sqlalchemy import create_engine\n", - "#from google.colab import files\n", - "\n", - "# Passo 1: Fazer upload do arquivo CSV\n", - "# uploaded = files.upload()\n", - "\n", - "# Passo 2: Ler o CSV em um DataFrame\n", - "df = pd.read_csv('dados_integrados.csv')\n", - "\n", - "# Passo 3: Criar o engine para o SQLite\n", - "engine = create_engine('sqlite:///banco.db') #abre e fecha conexões\n", - "\n", - "# Passo 4: Inserir o DataFrame no banco de dados SQLite\n", - "df.to_sql('desmatamento_co2', con=engine, if_exists='replace', index=False)\n", - "\n", - "print(\"Dados inseridos com sucesso no SQLite!\")\n", - "\n", - "# Passo 5: Consultar o banco de dados\n", - "conn = sqlite3.connect('banco.db')\n", - "cursor = conn.cursor()\n", - "\n", - "# Fazer uma consulta\n", - "cursor.execute(\"SELECT * FROM desmatamento_co2 LIMIT 5\")\n", - "rows = cursor.fetchall()\n", - "\n", - "# Mostrar os resultados\n", - "for row in rows:\n", - " print(row)\n", - "\n", - "# Fechar a conexão\n", - "conn.close()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "utOkFSAn2NNG", - "outputId": "e7c05bcd-596d-407c-b668-eea82a8cba10" - }, - "execution_count": 139, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Dados inseridos com sucesso no SQLite!\n", - "('Cerrado', 'BAHIA', 'são desidério', 12.52, 'agriculture', 3159579, 2021)\n", - "('Cerrado', 'BAHIA', 'luís eduardo magalhães', 4.83, 'agriculture', 654262, 2021)\n", - "('Cerrado', 'BAHIA', 'riachão das neves', 7.41, 'agriculture', 761963, 2021)\n", - "('Cerrado', 'BAHIA', 'baianópolis', 2.91, 'agriculture', 1700892, 2021)\n", - "('Cerrado', 'BAHIA', 'santa rita de cássia', 2.3, 'agriculture', 998700, 2021)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**CONSIDERAÇÔES FINAIS**\n", - "\n", - "\n", - "A análise inicial dos dados revelou que, apesar dos esforços de preservação, o desmatamento em várias regiões da Bahia aumentou significativamente nos últimos anos. Isso ocorre especialmente em áreas de biomas sensíveis, como a Caatinga e o Cerrado, que são biomas predominantes no estado.\n", - "\n", - "Esse aumento no desmatamento está intimamente relacionado ao aumento das emissões de CO₂, um dos principais gases responsáveis pelo efeito estufa. O impacto negativo do desmatamento é agravado pelo fato de que essas áreas desmatadas são substituídas por atividades que emitem ainda mais CO₂, como a agropecuária.\n", - "\n", - "Entretanto, as taxas de desmatamento e emissões de CO₂ apresentaram flutuações durante a pandemia de COVID-19, o que levanta questões sobre o papel de eventos globais e econômicos na redução temporária das atividades humanas e como isso afetou o meio ambiente local.\n", - "\n", - "Os resultados da análise reforçam a correlação direta entre desmatamento e emissões de CO₂ no estado da Bahia.\n", - "\n", - "Regiões com maiores áreas desmatadas apresentaram emissões de carbono proporcionalmente mais elevadas, principalmente em áreas destinadas à agropecuária.\n", - "\n", - "- A pandemia trouxe uma breve redução nas emissões, mas o desmatamento continuou a crescer, destacando a necessidade de políticas públicas mais robustas e eficientes para combater essa tendência.\n", - "\n", - "- A expansão agrícola é um dos principais motores do desmatamento e das emissões de CO₂ na Bahia.\n", - "\n", - "- Apesar da breve redução de emissões durante a pandemia, o desmatamento persistiu, o que sugere que fatores locais (como a pressão econômica) têm um papel crucial no aumento da degradação ambiental.\n", - "\n", - "- Medidas de mitigação mais efetivas, incluindo a fiscalização e preservação de áreas naturais, são fundamentais para controlar as emissões de carbono derivadas do desmatamento." - ], - "metadata": { - "id": "fdQmOKTrY-XL" - } - } - ] -} From 85d0b67351590b79199b45f49457b3a42bbfa57a Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 18:33:21 -0300 Subject: [PATCH 67/90] Criado usando o Colab --- projeto_final_paloma_anne.ipynb | 2732 +++++++++++++++++++++++++++++++ 1 file changed, 2732 insertions(+) create mode 100644 projeto_final_paloma_anne.ipynb diff --git a/projeto_final_paloma_anne.ipynb b/projeto_final_paloma_anne.ipynb new file mode 100644 index 0000000..b01853a --- /dev/null +++ b/projeto_final_paloma_anne.ipynb @@ -0,0 +1,2732 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Projeto Final de Análise de Dados**\n", + "\n", + "Desenvolvido por:\n", + "\n", + "Paloma Avena palomaavena@gmail.com\n", + "\n", + "Anne Ribeiro anne.asribeiro@gmail.com\n", + "\n" + ], + "metadata": { + "id": "4nPdko9j_PEt" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Contexto**\n", + "\n", + "Nos últimos anos, a questão do desmatamento e suas consequências ambientais têm se tornado uma preocupação crescente. A Bahia, por ser um estado de grande diversidade biológica, possui áreas significativas de florestas e biomas que desempenham um papel vital na regulação climática. O desmatamento pode impactar diretamente as emissões de dióxido de carbono (CO₂), contribuindo para o aquecimento global e alterações climáticas." + ], + "metadata": { + "id": "WIMvI1tp_XVU" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Etapas do projeto:**\n", + "\n", + "\n", + "1. Selecionar a Base de Dados\n", + "2. Definir Objetivo e Perguntas\n", + "3. Realizar Análise Exploratória\n", + "4. Gerar Base Final\n", + "5. Criar Visualizações no Tableau\n", + "6. Preparar Apresentação Final\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "metadata": { + "id": "uk5GxJpZ_ouB" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Bases de dados **\n", + "\n", + "Base 1: MapBiomas Alertas\n", + "https://plataforma.alerta.mapbiomas.org/downloads\n", + "\n", + "Dados de áreas(ha) desmatada por Municipío, Fator de pressão e Biomas no estado da Bahia.\n", + "\n", + "Base 2: Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)\n", + "https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA..\n", + "\n", + "\n", + "Dados de CO2 em toneladas por Municípios e Biomas de Mudanças e usos do solo e floresta." + ], + "metadata": { + "id": "vqYQ20MD_orK" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Objetivo Geral:**\n", + "\n", + "Este projeto tem como objetivo analisar os dados de desmatamento e emissões de CO₂ no estado da Bahia entre 2019 e 2022, a fim de entender como o desmatamento tem impactado as emissões de carbono no período da Pandemia.\n" + ], + "metadata": { + "id": "ZypjoEDB_ooh" + } + }, + { + "cell_type": "markdown", + "source": [ + "**As perguntas norteadoras deste projeto são:**\n", + "\n", + "1. Como o desmatamento na Bahia impacta as taxas de emissão de CO₂?\n", + "2. Qual a taxa de desmatamento nos municípios e biomas da Bahia entre 2019 e 2022?\n", + "3. Existe uma correlação entre as áreas desmatadas e o aumento das emissões de CO₂?\n", + "4. Como a pandemia afetou as taxas de desmatamento e emissões de CO₂?\n" + ], + "metadata": { + "id": "mrO_v4O1_olp" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Desafios:**\n", + "\n", + "1. Identificar regiões com maior desmatamento e correlacionar com dados de emissões.\n", + "2. Avaliar se as políticas públicas e ações de preservação tiveram impacto nos índices de desmatamento durante o período estudado.\n", + "3. Analisar o efeito da pandemia nas taxas de desmatamento e emissões.\n", + "\n", + "**Direcionamentos:**\n", + "\n", + "Para abordar esses desafios, criamos uma base de dados unificada com as informações de desmatamento e emissões de CO₂.\n", + "\n", + "Utilizamos técnicas de análise de dados para identificar padrões e correlações entre as variáveis:\n", + "\n", + "1. Análise temporal: Avaliamos a evolução do desmatamento e das emissões ao longo dos anos, de 2019 a 2022. Os resultados mostram picos em anos específicos, e um declínio temporário durante o período da pandemia, seguido de um aumento substancial em 2021.\n", + "\n", + "2. Correlações regionais: Mapeamos as emissões de CO₂ e áreas desmatadas por município, identificando as regiões da Bahia mais afetadas. Descobrimos que áreas como o Oeste da Bahia, caracterizadas pelo agronegócio, registram as maiores emissões.\n", + "\n", + "3. Modelos preditivos: Aplicamos regressão para prever o impacto do aumento do desmatamento nas emissões de CO₂, destacando como a degradação ambiental se traduz diretamente em maiores emissões de gases de efeito estufa.\n", + "\n", + "4. Impacto da pandemia: Durante a pandemia, observamos uma queda temporária nas emissões devido à redução das atividades econômicas, mas o desmatamento continuou em algumas regiões, mostrando a resiliência desse problema mesmo em crises globais." + ], + "metadata": { + "id": "RNIrgkoWZRWr" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Ferramentas Utilizadas:**\n", + "\n", + "Banco de dados\n", + "Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc.\n", + "Tableau: Para criar as visualizações finais e apresentar os insights gerados.\n", + "GitHub: Para versionamento do projeto e documentação.\n", + "Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem.\n", + "\n" + ], + "metadata": { + "id": "VV5GKSMc_oia" + } + }, + { + "cell_type": "markdown", + "source": [ + "Instalando o **Python**: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador.\n", + "\n", + "Instalando o **Visual Studio Code (VS Code)**: Acesse o site (https://code.visualstudio.com/).\n", + "\n", + "**Extensões** que irão tornar o processo de desenvolvimento mais simples e intuitivo:\n", + "\n", + "SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos SQLite (.db), executar consultas SQL, visualizar dados e até mesmo criar tabelas e colunas diretamente no VS Code.\n", + "\n", + "SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros.\n", + "\n", + "\n", + "**Bibliotecas e módulos:**\n", + "\n", + "sqlite3\n", + "csv\n", + "Pandas\n", + "Seaborn\n", + "Matplotlib\n" + ], + "metadata": { + "id": "n33nNlCqgZFC" + } + }, + { + "cell_type": "markdown", + "source": [ + "\n", + "**Análise exploratória de dados**\n", + "\n" + ], + "metadata": { + "id": "miL-Xxpd_niS" + } + }, + { + "cell_type": "markdown", + "source": [ + "**1. DADOS DE CO2 - SEEG**\n", + "\n", + "\n", + "Vamos utilizar a coluna 'categoria'= municipio e total de co2 emitido em tonelada por vetor de emissão, no caso 'Mudança de Uso da Terra e Floresta' dos anos de 2019 a 2022.\n" + ], + "metadata": { + "id": "c48LiFSG_Fft" + } + }, + { + "cell_type": "markdown", + "source": [ + "Coleta de dados CO2 Bahia, SEEG:\n", + "\n", + "\n", + "link: https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-bahia&_gl=1*gambxz*_ga*MTk5NTgxNjM5MS4xNzI1NjQzNTE1*_ga_XZWSWEJDWQ*MTcyNTY0MzUxNS4xLjAuMTcyNTY0MzUxNS4wLjAuMA..blob:https://plataforma.seeg.eco.br/845fd445-2d02-43a9-bb87-14435bfb6c1b\n", + "\n", + "\n" + ], + "metadata": { + "id": "vo84te4Y7n-P" + } + }, + { + "cell_type": "markdown", + "source": [ + "1. Importando os dados das planilhas" + ], + "metadata": { + "id": "rfcw5b-JebFU" + } + }, + { + "cell_type": "code", + "source": [ + "# 1. Importando os dados das planilhas\n", + "\n", + "# Primeiro, instale a biblioteca pandas se ainda não estiver instalada\n", + "!pip install pandas\n", + "\n", + "# Importando os dados\n", + "import pandas as pd\n", + "import csv\n", + "\n", + "# Carregando os dois arquivos CSV\n", + "# Caso esteja rodando localmente, altere o caminho dos arquivos, no Colab, você pode fazer upload dos arquivos e colocar o nome do arquivo abaixo:\n", + "\n", + "df1 = pd.read_csv('SEEG.csv')\n", + "\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "print(df1.head())\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dxaI-_ekeF9W", + "outputId": "a025f4a5-55b8-4755-932a-7efe98edae62" + }, + "execution_count": 34, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.2.2)\n", + "Requirement already satisfied: numpy>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from pandas) (1.26.4)\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n", + " Categoria 1990 1991 1992 \\\n", + "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", + "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", + "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", + "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", + "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", + "\n", + " 1993 1994 1995 1996 1997 \\\n", + "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", + "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", + "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", + "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", + "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", + "\n", + " 1998 ... 2013 2014 2015 2016 \\\n", + "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", + "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", + "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", + "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", + "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", + "\n", + " 2017 2018 2019 2020 2021 \\\n", + "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "\n", + " 2022 \n", + "0 2729422 \n", + "1 2432263 \n", + "2 1734316 \n", + "3 1473135 \n", + "4 996163 \n", + "\n", + "[5 rows x 34 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# 2.\n", + "df1.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "248fsSuvOBAa", + "outputId": "a0b28c07-7ef6-4f4e-d3b6-4f04c3eb63fd" + }, + "execution_count": 35, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 31 entries, 0 to 30\n", + "Data columns (total 34 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Categoria 31 non-null object \n", + " 1 1990 31 non-null float64\n", + " 2 1991 31 non-null float64\n", + " 3 1992 31 non-null float64\n", + " 4 1993 31 non-null float64\n", + " 5 1994 31 non-null float64\n", + " 6 1995 31 non-null float64\n", + " 7 1996 31 non-null float64\n", + " 8 1997 31 non-null float64\n", + " 9 1998 31 non-null float64\n", + " 10 1999 31 non-null float64\n", + " 11 2000 31 non-null float64\n", + " 12 2001 31 non-null float64\n", + " 13 2002 31 non-null float64\n", + " 14 2003 31 non-null float64\n", + " 15 2004 31 non-null float64\n", + " 16 2005 31 non-null float64\n", + " 17 2006 31 non-null float64\n", + " 18 2007 31 non-null float64\n", + " 19 2008 31 non-null float64\n", + " 20 2009 31 non-null float64\n", + " 21 2010 31 non-null float64\n", + " 22 2011 31 non-null float64\n", + " 23 2012 31 non-null float64\n", + " 24 2013 31 non-null float64\n", + " 25 2014 31 non-null float64\n", + " 26 2015 31 non-null float64\n", + " 27 2016 31 non-null float64\n", + " 28 2017 31 non-null float64\n", + " 29 2018 31 non-null float64\n", + " 30 2019 31 non-null float64\n", + " 31 2020 31 non-null float64\n", + " 32 2021 31 non-null float64\n", + " 33 2022 31 non-null int64 \n", + "dtypes: float64(32), int64(1), object(1)\n", + "memory usage: 8.4+ KB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Selecionar as colunas específicas\n", + "\n", + "df_1 = df1[['Categoria','2019', '2020', '2021', '2022']]\n", + "print(df_1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "7cGDNRgEd0wi", + "outputId": "73767348-cfdd-48ce-d5fd-9a51d6552542" + }, + "execution_count": 58, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 2019 2020 2021 \\\n", + "0 São Desidério (BA) 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 Jaborandi (BA) 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 Correntina (BA) 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 Barreiras (BA) 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "5 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 7.619633e+05 \n", + "6 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 9.987006e+05 \n", + "7 Jequié (BA) 2.491692e+05 1.862657e+05 1.639264e+05 \n", + "8 Encruzilhada (BA) 4.038959e+05 4.516205e+05 5.873154e+05 \n", + "9 Baianópolis (BA) 6.074368e+05 7.908150e+05 1.700892e+06 \n", + "10 Valença (BA) 2.476738e+05 4.276377e+05 1.953325e+05 \n", + "11 Cocos (BA) 9.593941e+05 1.218387e+06 1.229645e+06 \n", + "12 Belmonte (BA) 3.904032e+05 3.505588e+05 3.314850e+05 \n", + "13 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 6.542620e+05 \n", + "14 Barra (BA) 2.260111e+05 1.397781e+05 7.905882e+04 \n", + "15 Cotegipe (BA) 3.311638e+05 5.599601e+05 2.925473e+05 \n", + "16 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 7.243660e+04 \n", + "17 Itagibá (BA) 1.216756e+05 7.210208e+04 1.114533e+05 \n", + "18 Itapetinga (BA) 5.707418e+04 4.613513e+04 2.072777e+04 \n", + "19 Iguaí (BA) 8.222719e+04 1.274713e+05 1.559627e+05 \n", + "20 Maraú (BA) 8.020749e+04 1.701269e+05 1.032113e+05 \n", + "21 Ibicuí (BA) 1.696392e+04 3.524000e+04 2.780070e+04 \n", + "22 Guaratinga (BA) 2.117080e+05 2.516566e+05 1.717426e+05 \n", + "23 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 5.956842e+04 \n", + "24 Camamu (BA) 2.214714e+05 4.347414e+05 1.635482e+05 \n", + "25 Itambé (BA) 1.001077e+05 1.444300e+05 6.526349e+04 \n", + "26 Dário Meira (BA) 9.440196e+04 9.250477e+04 1.017979e+05 \n", + "27 Igrapiúna (BA) 2.576941e+05 3.782366e+05 1.486217e+05 \n", + "28 Ilhéus (BA) 1.588721e+05 1.912059e+05 1.317151e+05 \n", + "29 Itarantim (BA) 3.847215e+04 6.031930e+04 1.040533e+04 \n", + "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 \n", + "\n", + " 2022 \n", + "0 2729422 \n", + "1 2432263 \n", + "2 1734316 \n", + "3 1473135 \n", + "4 996163 \n", + "5 670183 \n", + "6 569631 \n", + "7 498001 \n", + "8 414662 \n", + "9 413632 \n", + "10 378871 \n", + "11 367625 \n", + "12 354868 \n", + "13 343098 \n", + "14 312169 \n", + "15 297663 \n", + "16 292758 \n", + "17 288483 \n", + "18 285382 \n", + "19 277970 \n", + "20 275953 \n", + "21 245755 \n", + "22 243882 \n", + "23 238334 \n", + "24 232571 \n", + "25 227632 \n", + "26 217077 \n", + "27 210971 \n", + "28 209209 \n", + "29 203154 \n", + "30 13978140 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Altera os nomes das colunas\n", + "\n", + "df_1.columns = ['Municípios', '2019', '2020', '2021', '2022']\n", + "print(df_1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "L6d5VRWSrfKE", + "outputId": "44f2bac5-34cf-447a-adde-1bdf9ce36523" + }, + "execution_count": 60, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 \\\n", + "0 São Desidério (BA) 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 Jaborandi (BA) 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 Correntina (BA) 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 Barreiras (BA) 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "5 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 7.619633e+05 \n", + "6 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 9.987006e+05 \n", + "7 Jequié (BA) 2.491692e+05 1.862657e+05 1.639264e+05 \n", + "8 Encruzilhada (BA) 4.038959e+05 4.516205e+05 5.873154e+05 \n", + "9 Baianópolis (BA) 6.074368e+05 7.908150e+05 1.700892e+06 \n", + "10 Valença (BA) 2.476738e+05 4.276377e+05 1.953325e+05 \n", + "11 Cocos (BA) 9.593941e+05 1.218387e+06 1.229645e+06 \n", + "12 Belmonte (BA) 3.904032e+05 3.505588e+05 3.314850e+05 \n", + "13 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 6.542620e+05 \n", + "14 Barra (BA) 2.260111e+05 1.397781e+05 7.905882e+04 \n", + "15 Cotegipe (BA) 3.311638e+05 5.599601e+05 2.925473e+05 \n", + "16 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 7.243660e+04 \n", + "17 Itagibá (BA) 1.216756e+05 7.210208e+04 1.114533e+05 \n", + "18 Itapetinga (BA) 5.707418e+04 4.613513e+04 2.072777e+04 \n", + "19 Iguaí (BA) 8.222719e+04 1.274713e+05 1.559627e+05 \n", + "20 Maraú (BA) 8.020749e+04 1.701269e+05 1.032113e+05 \n", + "21 Ibicuí (BA) 1.696392e+04 3.524000e+04 2.780070e+04 \n", + "22 Guaratinga (BA) 2.117080e+05 2.516566e+05 1.717426e+05 \n", + "23 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 5.956842e+04 \n", + "24 Camamu (BA) 2.214714e+05 4.347414e+05 1.635482e+05 \n", + "25 Itambé (BA) 1.001077e+05 1.444300e+05 6.526349e+04 \n", + "26 Dário Meira (BA) 9.440196e+04 9.250477e+04 1.017979e+05 \n", + "27 Igrapiúna (BA) 2.576941e+05 3.782366e+05 1.486217e+05 \n", + "28 Ilhéus (BA) 1.588721e+05 1.912059e+05 1.317151e+05 \n", + "29 Itarantim (BA) 3.847215e+04 6.031930e+04 1.040533e+04 \n", + "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 \n", + "\n", + " 2022 \n", + "0 2729422 \n", + "1 2432263 \n", + "2 1734316 \n", + "3 1473135 \n", + "4 996163 \n", + "5 670183 \n", + "6 569631 \n", + "7 498001 \n", + "8 414662 \n", + "9 413632 \n", + "10 378871 \n", + "11 367625 \n", + "12 354868 \n", + "13 343098 \n", + "14 312169 \n", + "15 297663 \n", + "16 292758 \n", + "17 288483 \n", + "18 285382 \n", + "19 277970 \n", + "20 275953 \n", + "21 245755 \n", + "22 243882 \n", + "23 238334 \n", + "24 232571 \n", + "25 227632 \n", + "26 217077 \n", + "27 210971 \n", + "28 209209 \n", + "29 203154 \n", + "30 13978140 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remover informações de estado (como \"(BA)\") de 'Municípios'\n", + "df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n", + "\n", + "print(df_1)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "aYveX-t4rJBb", + "outputId": "6bb2e3f3-4552-442d-bedd-a02748cfba5b" + }, + "execution_count": 61, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 2022\n", + "0 São Desidério 2.024108e+06 3.091203e+06 3.159580e+06 2729422\n", + "1 Formosa do Rio Preto 4.220327e+06 3.073766e+06 2.299738e+06 2432263\n", + "2 Jaborandi 1.706968e+06 1.744004e+06 2.051921e+06 1734316\n", + "3 Correntina 1.545573e+06 1.060526e+06 1.585476e+06 1473135\n", + "4 Barreiras 1.568927e+06 1.179766e+06 9.583063e+05 996163\n", + "5 Riachão das Neves 5.801730e+05 1.085054e+06 7.619633e+05 670183\n", + "6 Santa Rita de Cássia 6.947971e+05 8.595094e+05 9.987006e+05 569631\n", + "7 Jequié 2.491692e+05 1.862657e+05 1.639264e+05 498001\n", + "8 Encruzilhada 4.038959e+05 4.516205e+05 5.873154e+05 414662\n", + "9 Baianópolis 6.074368e+05 7.908150e+05 1.700892e+06 413632\n", + "10 Valença 2.476738e+05 4.276377e+05 1.953325e+05 378871\n", + "11 Cocos 9.593941e+05 1.218387e+06 1.229645e+06 367625\n", + "12 Belmonte 3.904032e+05 3.505588e+05 3.314850e+05 354868\n", + "13 Luís Eduardo Magalhães 8.004357e+05 1.523413e+06 6.542620e+05 343098\n", + "14 Barra 2.260111e+05 1.397781e+05 7.905882e+04 312169\n", + "15 Cotegipe 3.311638e+05 5.599601e+05 2.925473e+05 297663\n", + "16 Ibirapitanga 8.620563e+04 2.963629e+05 7.243660e+04 292758\n", + "17 Itagibá 1.216756e+05 7.210208e+04 1.114533e+05 288483\n", + "18 Itapetinga 5.707418e+04 4.613513e+04 2.072777e+04 285382\n", + "19 Iguaí 8.222719e+04 1.274713e+05 1.559627e+05 277970\n", + "20 Maraú 8.020749e+04 1.701269e+05 1.032113e+05 275953\n", + "21 Ibicuí 1.696392e+04 3.524000e+04 2.780070e+04 245755\n", + "22 Guaratinga 2.117080e+05 2.516566e+05 1.717426e+05 243882\n", + "23 Nilo Peçanha 9.027649e+04 1.546260e+05 5.956842e+04 238334\n", + "24 Camamu 2.214714e+05 4.347414e+05 1.635482e+05 232571\n", + "25 Itambé 1.001077e+05 1.444300e+05 6.526349e+04 227632\n", + "26 Dário Meira 9.440196e+04 9.250477e+04 1.017979e+05 217077\n", + "27 Igrapiúna 2.576941e+05 3.782366e+05 1.486217e+05 210971\n", + "28 Ilhéus 1.588721e+05 1.912059e+05 1.317151e+05 209209\n", + "29 Itarantim 3.847215e+04 6.031930e+04 1.040533e+04 203154\n", + "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 13978140\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Converta todas as colunas de anos para inteiro\n", + "\n", + "df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int)\n", + "\n", + "print(df_1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "6toQkSKTetTx", + "outputId": "efdc78f2-2b17-4596-809b-709544fb5b72" + }, + "execution_count": 65, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 2022\n", + "0 São Desidério 2024107 3091203 3159579 2729422\n", + "1 Formosa do Rio Preto 4220327 3073766 2299737 2432263\n", + "2 Jaborandi 1706967 1744004 2051920 1734316\n", + "3 Correntina 1545572 1060525 1585476 1473135\n", + "4 Barreiras 1568927 1179766 958306 996163\n", + "5 Riachão das Neves 580173 1085054 761963 670183\n", + "6 Santa Rita de Cássia 694797 859509 998700 569631\n", + "7 Jequié 249169 186265 163926 498001\n", + "8 Encruzilhada 403895 451620 587315 414662\n", + "9 Baianópolis 607436 790814 1700892 413632\n", + "10 Valença 247673 427637 195332 378871\n", + "11 Cocos 959394 1218387 1229644 367625\n", + "12 Belmonte 390403 350558 331485 354868\n", + "13 Luís Eduardo Magalhães 800435 1523413 654262 343098\n", + "14 Barra 226011 139778 79058 312169\n", + "15 Cotegipe 331163 559960 292547 297663\n", + "16 Ibirapitanga 86205 296362 72436 292758\n", + "17 Itagibá 121675 72102 111453 288483\n", + "18 Itapetinga 57074 46135 20727 285382\n", + "19 Iguaí 82227 127471 155962 277970\n", + "20 Maraú 80207 170126 103211 275953\n", + "21 Ibicuí 16963 35239 27800 245755\n", + "22 Guaratinga 211708 251656 171742 243882\n", + "23 Nilo Peçanha 90276 154625 59568 238334\n", + "24 Camamu 221471 434741 163548 232571\n", + "25 Itambé 100107 144429 65263 227632\n", + "26 Dário Meira 94401 92504 101797 217077\n", + "27 Igrapiúna 257694 378236 148621 210971\n", + "28 Ilhéus 158872 191205 131715 209209\n", + "29 Itarantim 38472 60319 10405 203154\n", + "30 Outros 15546451 13047762 13420866 13978140\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":3: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Contagem de valores nulos em cada coluna\n", + "\n", + "nulos_por_coluna1 = df_1.isnull().sum()\n", + "print(nulos_por_coluna1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4MuBo8vKgg6H", + "outputId": "f97af53b-c533-461c-a120-02c63b956265" + }, + "execution_count": 66, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Municípios 0\n", + "2019 0\n", + "2020 0\n", + "2021 0\n", + "2022 0\n", + "dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remove linhas duplicadas\n", + "\n", + "df_sem_duplicatas1 = df_1.drop_duplicates()\n", + "print(df_sem_duplicatas1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "1ugZRlahiJ9B", + "outputId": "3acbe939-6b7a-49c2-fe03-52fd28590895" + }, + "execution_count": 67, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 2022\n", + "0 São Desidério 2024107 3091203 3159579 2729422\n", + "1 Formosa do Rio Preto 4220327 3073766 2299737 2432263\n", + "2 Jaborandi 1706967 1744004 2051920 1734316\n", + "3 Correntina 1545572 1060525 1585476 1473135\n", + "4 Barreiras 1568927 1179766 958306 996163\n", + "5 Riachão das Neves 580173 1085054 761963 670183\n", + "6 Santa Rita de Cássia 694797 859509 998700 569631\n", + "7 Jequié 249169 186265 163926 498001\n", + "8 Encruzilhada 403895 451620 587315 414662\n", + "9 Baianópolis 607436 790814 1700892 413632\n", + "10 Valença 247673 427637 195332 378871\n", + "11 Cocos 959394 1218387 1229644 367625\n", + "12 Belmonte 390403 350558 331485 354868\n", + "13 Luís Eduardo Magalhães 800435 1523413 654262 343098\n", + "14 Barra 226011 139778 79058 312169\n", + "15 Cotegipe 331163 559960 292547 297663\n", + "16 Ibirapitanga 86205 296362 72436 292758\n", + "17 Itagibá 121675 72102 111453 288483\n", + "18 Itapetinga 57074 46135 20727 285382\n", + "19 Iguaí 82227 127471 155962 277970\n", + "20 Maraú 80207 170126 103211 275953\n", + "21 Ibicuí 16963 35239 27800 245755\n", + "22 Guaratinga 211708 251656 171742 243882\n", + "23 Nilo Peçanha 90276 154625 59568 238334\n", + "24 Camamu 221471 434741 163548 232571\n", + "25 Itambé 100107 144429 65263 227632\n", + "26 Dário Meira 94401 92504 101797 217077\n", + "27 Igrapiúna 257694 378236 148621 210971\n", + "28 Ilhéus 158872 191205 131715 209209\n", + "29 Itarantim 38472 60319 10405 203154\n", + "30 Outros 15546451 13047762 13420866 13978140\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Transformar os dados para um formato longo (melt)\n", + "\n", + "df_sem_duplicatas1 = pd.melt(df_1, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido')\n", + "\n", + "print(df_sem_duplicatas1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LZkN9n9JkTVG", + "outputId": "b1ae7152-4ce0-4fe4-cf10-e7b85ecf2873" + }, + "execution_count": 68, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 São Desidério 2019 2024107\n", + "1 Formosa do Rio Preto 2019 4220327\n", + "2 Jaborandi 2019 1706967\n", + "3 Correntina 2019 1545572\n", + "4 Barreiras 2019 1568927\n", + ".. ... ... ...\n", + "119 Dário Meira 2022 217077\n", + "120 Igrapiúna 2022 210971\n", + "121 Ilhéus 2022 209209\n", + "122 Itarantim 2022 203154\n", + "123 Outros 2022 13978140\n", + "\n", + "[124 rows x 3 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Calcular o total da coluna 'valor'\n", + "valor_total = df1['2022'].sum()\n", + "print(\"O valor total da coluna 'valor' é:\", valor_total)" + ], + "metadata": { + "id": "ONOhelsVZ1g8", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "28481b77-4423-4409-8485-ef0a1f19870a" + }, + "execution_count": 69, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "O valor total da coluna 'valor' é: 31412973\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Salvando o arquivo final em um novo CSV\n", + "\n", + "df_sem_duplicatas1.to_csv('co2.csv', index=False, encoding='utf-8')\n", + "\n", + "print(df_sem_duplicatas1)\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rAUV5SOqQPex", + "outputId": "55a2801b-2811-450b-f930-13af6a50c926" + }, + "execution_count": 72, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 São Desidério 2019 2024107\n", + "1 Formosa do Rio Preto 2019 4220327\n", + "2 Jaborandi 2019 1706967\n", + "3 Correntina 2019 1545572\n", + "4 Barreiras 2019 1568927\n", + ".. ... ... ...\n", + "119 Dário Meira 2022 217077\n", + "120 Igrapiúna 2022 210971\n", + "121 Ilhéus 2022 209209\n", + "122 Itarantim 2022 203154\n", + "123 Outros 2022 13978140\n", + "\n", + "[124 rows x 3 columns]\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**2. DADOS DESMATAMENTO - MAPBIOMAS**" + ], + "metadata": { + "id": "4b3RXVJPee-P" + } + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ], + "metadata": { + "id": "GGWC3zlhehXu" + }, + "execution_count": 46, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# importando dados\n", + "\n", + "df3 = pd.read_csv('mapbiomas_ba.csv')\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df3.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dOTnbHapgsxF", + "outputId": "0275eb8c-7c99-47b4-eb44-c28b34f6f2d6" + }, + "execution_count": 47, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " CODEALERTA FONTE BIOMA ESTADO MUNICIPIO AREAHA \\\n", + "0 1226926 {SAD-CAATINGA} Caatinga BAHIA Iaçu 2.96 \n", + "1 1226922 {SAD-CAATINGA} Caatinga BAHIA Miguel Calmon 1.69 \n", + "2 1227303 {SAD-CAATINGA} Caatinga BAHIA Buritirama 2.05 \n", + "3 1227296 {SAD-CAATINGA} Caatinga BAHIA Piatã 0.69 \n", + "4 1227291 {SAD-CAATINGA} Caatinga BAHIA Cotegipe 23.97 \n", + "\n", + " ANODETEC DATADETEC DTIMGANT DTIMGDEP DTPUBLI VPRESSAO \n", + "0 2024.0 2024/01/01 2023/01/26 2024/02/14 2024/04/30 agriculture \n", + "1 2024.0 2024/01/01 2023/06/30 2024/01/31 2024/04/30 agriculture \n", + "2 2024.0 2024/01/01 2023/03/17 2023/10/10 2024/04/30 agriculture \n", + "3 2024.0 2024/01/01 2023/04/27 2023/06/17 2024/04/30 agriculture \n", + "4 2024.0 2024/01/01 2023/08/12 2023/10/17 2024/04/30 agriculture \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df3.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "TUEysu1IQn2V", + "outputId": "8ad524da-855f-4137-8f30-dee044fbefed" + }, + "execution_count": 48, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 CODEALERTA 28397 non-null int64 \n", + " 1 FONTE 28397 non-null object \n", + " 2 BIOMA 28397 non-null object \n", + " 3 ESTADO 28397 non-null object \n", + " 4 MUNICIPIO 28397 non-null object \n", + " 5 AREAHA 28397 non-null float64\n", + " 6 ANODETEC 28397 non-null float64\n", + " 7 DATADETEC 28397 non-null object \n", + " 8 DTIMGANT 28397 non-null object \n", + " 9 DTIMGDEP 28397 non-null object \n", + " 10 DTPUBLI 28397 non-null object \n", + " 11 VPRESSAO 28397 non-null object \n", + "dtypes: float64(2), int64(1), object(9)\n", + "memory usage: 2.6+ MB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Converta todas as colunas de anos para int\n", + "\n", + "df3[['ANODETEC']] = df3[['ANODETEC']].astype(int)\n", + "\n", + "df3.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_0gvkwXlQnbU", + "outputId": "ca7bbc24-4b5e-4c44-f4f2-72f2db725ce4" + }, + "execution_count": 49, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 CODEALERTA 28397 non-null int64 \n", + " 1 FONTE 28397 non-null object \n", + " 2 BIOMA 28397 non-null object \n", + " 3 ESTADO 28397 non-null object \n", + " 4 MUNICIPIO 28397 non-null object \n", + " 5 AREAHA 28397 non-null float64\n", + " 6 ANODETEC 28397 non-null int64 \n", + " 7 DATADETEC 28397 non-null object \n", + " 8 DTIMGANT 28397 non-null object \n", + " 9 DTIMGDEP 28397 non-null object \n", + " 10 DTPUBLI 28397 non-null object \n", + " 11 VPRESSAO 28397 non-null object \n", + "dtypes: float64(1), int64(2), object(9)\n", + "memory usage: 2.6+ MB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remover múltiplas colunas de uma vez, temos que deixar municipio, area ha (pra calcular o desmatamento, data tec e ano)\n", + "\n", + "colunas_para_remover = ['CODEALERTA', 'FONTE', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'DATADETEC']\n", + "\n", + "df3_limpo = df3.drop(columns=colunas_para_remover)\n", + "\n", + "print(df3_limpo.head())" + ], + "metadata": { + "id": "UHR6fDjZfFf9", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "fde59c3f-e46e-4872-b185-053b24ceb5fd" + }, + "execution_count": 51, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Caatinga BAHIA Iaçu 2.96 2024 agriculture\n", + "1 Caatinga BAHIA Miguel Calmon 1.69 2024 agriculture\n", + "2 Caatinga BAHIA Buritirama 2.05 2024 agriculture\n", + "3 Caatinga BAHIA Piatã 0.69 2024 agriculture\n", + "4 Caatinga BAHIA Cotegipe 23.97 2024 agriculture\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "print(df3_limpo.info())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "WBdJUsJ9f3Yi", + "outputId": "ab7e8d10-f061-4c27-d388-404d651b971c" + }, + "execution_count": 52, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 6 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 BIOMA 28397 non-null object \n", + " 1 ESTADO 28397 non-null object \n", + " 2 MUNICIPIO 28397 non-null object \n", + " 3 AREAHA 28397 non-null float64\n", + " 4 ANODETEC 28397 non-null int64 \n", + " 5 VPRESSAO 28397 non-null object \n", + "dtypes: float64(1), int64(1), object(4)\n", + "memory usage: 1.3+ MB\n", + "None\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Verificar se tem valores faltantes\n", + "\n", + "print(df3_limpo.isnull().sum())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Jeufw3Gvf6gj", + "outputId": "52788ae4-ce1a-4110-8488-cdc39223347d" + }, + "execution_count": 53, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "BIOMA 0\n", + "ESTADO 0\n", + "MUNICIPIO 0\n", + "AREAHA 0\n", + "ANODETEC 0\n", + "VPRESSAO 0\n", + "dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df3_MUN = df3_limpo.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_MUN.head())\n", + "\n", + "df3_ANO = df3_limpo.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_ANO.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4LvRvq8pSL8G", + "outputId": "0ec49fe3-1297-47b0-dfec-892e6985cb1f" + }, + "execution_count": 54, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " MUNICIPIO AREAHA\n", + "0 Abaré 22.43\n", + "1 Abaíra 69.20\n", + "2 Acajutiba 127.70\n", + "3 Adustina 482.47\n", + "4 Aiquara 175.27\n", + " ANODETEC AREAHA\n", + "0 2019 64554.41\n", + "1 2020 113073.16\n", + "2 2021 154250.73\n", + "3 2022 227779.90\n", + "4 2023 290593.00\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Salvando o arquivo final em um novo CSV\n", + "\n", + "df3_limpo.to_csv('desmatamento.csv', index=False, encoding='utf-8')\n", + "\n", + "print(df3_limpo)" + ], + "metadata": { + "id": "Dmt95mSDi-XN", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "4f7204c9-cbfd-48f5-d6c0-306adae656eb" + }, + "execution_count": 70, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Caatinga BAHIA Iaçu 2.96 2024 agriculture\n", + "1 Caatinga BAHIA Miguel Calmon 1.69 2024 agriculture\n", + "2 Caatinga BAHIA Buritirama 2.05 2024 agriculture\n", + "3 Caatinga BAHIA Piatã 0.69 2024 agriculture\n", + "4 Caatinga BAHIA Cotegipe 23.97 2024 agriculture\n", + "... ... ... ... ... ... ...\n", + "28392 Caatinga BAHIA Guajeru 1.47 2024 agriculture\n", + "28393 Caatinga BAHIA Filadélfia 1.56 2024 agriculture\n", + "28394 Caatinga BAHIA Itaberaba 54.26 2024 agriculture\n", + "28395 Caatinga BAHIA Barra da Estiva 7.11 2024 agriculture\n", + "28396 Caatinga BAHIA Várzea da Roça 2.37 2024 agriculture\n", + "\n", + "[28397 rows x 6 columns]\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Integrando as bases de dados**" + ], + "metadata": { + "id": "_q7zkPedSmZl" + } + }, + { + "cell_type": "code", + "source": [ + "# importando dados\n", + "\n", + "df_desmatamento = pd.read_csv('desmatamento.csv')\n", + "\n", + "df_co2 = pd.read_csv('co2.csv')\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df_desmatamento.head())\n", + "\n", + "print(df_co2.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "I94Is9Ugs3l4", + "outputId": "9b690f09-4fc9-4c94-8408-848575a7cd46" + }, + "execution_count": 75, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Caatinga BAHIA Iaçu 2.96 2024 agriculture\n", + "1 Caatinga BAHIA Miguel Calmon 1.69 2024 agriculture\n", + "2 Caatinga BAHIA Buritirama 2.05 2024 agriculture\n", + "3 Caatinga BAHIA Piatã 0.69 2024 agriculture\n", + "4 Caatinga BAHIA Cotegipe 23.97 2024 agriculture\n", + " Municípios Ano CO2_emitido\n", + "0 São Desidério 2019 2024107\n", + "1 Formosa do Rio Preto 2019 4220327\n", + "2 Jaborandi 2019 1706967\n", + "3 Correntina 2019 1545572\n", + "4 Barreiras 2019 1568927\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Limpar e padronizar os nomes de municípios\n", + "\n", + "df_desmatamento['MUNICIPIO'] = df_desmatamento['MUNICIPIO'].str.strip().str.lower()\n", + "df_co2['Municípios'] = df_co2['Municípios'].str.strip().str.lower()\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df_desmatamento.head())\n", + "\n", + "print(df_co2.head())\n" + ], + "metadata": { + "id": "_NzU6L8rSa0b", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "31b0233a-709b-4382-9b1a-9289fed00af6" + }, + "execution_count": 77, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Caatinga BAHIA iaçu 2.96 2024 agriculture\n", + "1 Caatinga BAHIA miguel calmon 1.69 2024 agriculture\n", + "2 Caatinga BAHIA buritirama 2.05 2024 agriculture\n", + "3 Caatinga BAHIA piatã 0.69 2024 agriculture\n", + "4 Caatinga BAHIA cotegipe 23.97 2024 agriculture\n", + " Municípios Ano CO2_emitido\n", + "0 são desidério 2019 2024107\n", + "1 formosa do rio preto 2019 4220327\n", + "2 jaborandi 2019 1706967\n", + "3 correntina 2019 1545572\n", + "4 barreiras 2019 1568927\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remove linhas duplicadas\n", + "\n", + "df_desmatamentos = df_desmatamento.drop_duplicates()\n", + "print(df_desmatamentos)\n", + "\n", + "\n", + "df_co2s = df_co2.drop_duplicates()\n", + "print(df_co2s)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "qGcjZp3huhft", + "outputId": "c44acea9-0073-4b86-9f23-6a59f9327d8b" + }, + "execution_count": 81, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Caatinga BAHIA iaçu 2.96 2024 agriculture\n", + "1 Caatinga BAHIA miguel calmon 1.69 2024 agriculture\n", + "2 Caatinga BAHIA buritirama 2.05 2024 agriculture\n", + "3 Caatinga BAHIA piatã 0.69 2024 agriculture\n", + "4 Caatinga BAHIA cotegipe 23.97 2024 agriculture\n", + "... ... ... ... ... ... ...\n", + "28392 Caatinga BAHIA guajeru 1.47 2024 agriculture\n", + "28393 Caatinga BAHIA filadélfia 1.56 2024 agriculture\n", + "28394 Caatinga BAHIA itaberaba 54.26 2024 agriculture\n", + "28395 Caatinga BAHIA barra da estiva 7.11 2024 agriculture\n", + "28396 Caatinga BAHIA várzea da roça 2.37 2024 agriculture\n", + "\n", + "[27919 rows x 6 columns]\n", + " Municípios Ano CO2_emitido\n", + "0 são desidério 2019 2024107\n", + "1 formosa do rio preto 2019 4220327\n", + "2 jaborandi 2019 1706967\n", + "3 correntina 2019 1545572\n", + "4 barreiras 2019 1568927\n", + ".. ... ... ...\n", + "119 dário meira 2022 217077\n", + "120 igrapiúna 2022 210971\n", + "121 ilhéus 2022 209209\n", + "122 itarantim 2022 203154\n", + "123 outros 2022 13978140\n", + "\n", + "[124 rows x 3 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Realizar a junção das tabelas com base nos municípios e anos\n", + "df_integrado = pd.merge(df_desmatamentos, df_co2s, left_on=['MUNICIPIO', 'ANODETEC'], right_on=['Municípios', 'Ano'], how='inner')\n", + "\n", + "# Exibir as primeiras linhas da tabela integrada\n", + "df_integrado.head()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 206 + }, + "id": "MJTWFuyzsXWE", + "outputId": "40ebcaf4-5987-421c-95a6-2a458e9070b5" + }, + "execution_count": 123, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO \\\n", + "0 Cerrado BAHIA são desidério 12.52 2021 agriculture \n", + "1 Cerrado BAHIA luís eduardo magalhães 4.83 2021 agriculture \n", + "2 Cerrado BAHIA riachão das neves 7.41 2021 agriculture \n", + "3 Cerrado BAHIA baianópolis 2.91 2021 agriculture \n", + "4 Cerrado BAHIA santa rita de cássia 2.30 2021 agriculture \n", + "\n", + " Municípios Ano CO2_emitido \n", + "0 são desidério 2021 3159579 \n", + "1 luís eduardo magalhães 2021 654262 \n", + "2 riachão das neves 2021 761963 \n", + "3 baianópolis 2021 1700892 \n", + "4 santa rita de cássia 2021 998700 " + ], + "text/html": [ + "\n", + "
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\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "df_integrado", + "summary": "{\n \"name\": \"df_integrado\",\n \"rows\": 4308,\n \"fields\": [\n {\n \"column\": \"BIOMA\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"Cerrado\",\n \"Mata Atl\\u00e2ntica\",\n \"Caatinga\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ESTADO\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"BAHIA\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MUNICIPIO\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 30,\n \"samples\": [\n \"nilo pe\\u00e7anha\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"AREAHA\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 368.793437365507,\n \"min\": 0.15,\n \"max\": 12342.73,\n \"num_unique_values\": 2640,\n \"samples\": [\n 12.1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ANODETEC\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 2019,\n \"max\": 2022,\n \"num_unique_values\": 4,\n \"samples\": [\n 2022\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"VPRESSAO\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"others\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Munic\\u00edpios\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 30,\n \"samples\": [\n \"nilo pe\\u00e7anha\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Ano\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 2019,\n \"max\": 2022,\n \"num_unique_values\": 4,\n \"samples\": [\n 2022\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"CO2_emitido\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 939583,\n \"min\": 10405,\n \"max\": 4220327,\n \"num_unique_values\": 116,\n \"samples\": [\n 296362\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {}, + "execution_count": 123 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Verificar se os valores de 'MUNICIPIO' e 'Municípios' são iguais\n", + "df_integrado['MUNICIPIO_igual'] = df_integrado['MUNICIPIO'] == df_integrado['Municípios']\n", + "\n", + "# Verificar se os valores de 'ANODETEC' e 'Ano' são iguais\n", + "df_integrado['ANODETEC_igual'] = df_integrado['ANODETEC'] == df_integrado['Ano']\n", + "\n", + "# Verificar se há algum False na coluna 'MUNICIPIO_igual'\n", + "tem_falso_municipio = df_integrado['MUNICIPIO_igual'].any() == False\n", + "\n", + "# Verificar se há algum False na coluna 'ANODETEC_igual'\n", + "tem_falso_ano = df_integrado['ANODETEC_igual'].any() == False\n", + "\n", + "print(f\"Tem algum 'False' na comparação de Município? {tem_falso_municipio}\")\n", + "print(f\"Tem algum 'False' na comparação de Ano? {tem_falso_ano}\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "KdZZwc9Lvp31", + "outputId": "29abc62d-b2b1-403d-b450-08ee024b6b5c" + }, + "execution_count": 124, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Tem algum 'False' na comparação de Município? False\n", + "Tem algum 'False' na comparação de Ano? False\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "#Unificando colunas iguais:\n", + "df_integrado['MUNICIPIO'] = df_integrado['MUNICIPIO']\n", + "\n", + "df_integrado['ANO'] = df_integrado['Ano']\n", + "\n", + "\n", + "# Agora podemos excluir as colunas antigas\n", + "\n", + "df_integrado = df_integrado.drop(columns=['Municípios', 'MUNICIPIO_igual'])\n", + "df_integrado = df_integrado.drop(columns=['ANODETEC', 'Ano', 'ANODETEC_igual'])\n", + "\n", + "# Exibir as primeiras linhas da tabela integrada\n", + "df_integrado.head()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 206 + }, + "id": "w-Hr7xTQw_n4", + "outputId": "6e87ff84-2ee8-4451-cc1a-ac5e7da3fa40" + }, + "execution_count": 126, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " BIOMA ESTADO MUNICIPIO AREAHA VPRESSAO CO2_emitido \\\n", + "0 Cerrado BAHIA são desidério 12.52 agriculture 3159579 \n", + "1 Cerrado BAHIA luís eduardo magalhães 4.83 agriculture 654262 \n", + "2 Cerrado BAHIA riachão das neves 7.41 agriculture 761963 \n", + "3 Cerrado BAHIA baianópolis 2.91 agriculture 1700892 \n", + "4 Cerrado BAHIA santa rita de cássia 2.30 agriculture 998700 \n", + "\n", + " ANO \n", + "0 2021 \n", + "1 2021 \n", + "2 2021 \n", + "3 2021 \n", + "4 2021 " + ], + "text/html": [ + "\n", + "
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BIOMAESTADOMUNICIPIOAREAHAVPRESSAOCO2_emitidoANO
0CerradoBAHIAsão desidério12.52agriculture31595792021
1CerradoBAHIAluís eduardo magalhães4.83agriculture6542622021
2CerradoBAHIAriachão das neves7.41agriculture7619632021
3CerradoBAHIAbaianópolis2.91agriculture17008922021
4CerradoBAHIAsanta rita de cássia2.30agriculture9987002021
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Gráfico de barras: Desmatamento total por ano\n", + "plt.figure(figsize=(10,6))\n", + "sns.barplot(x='ANO', y='AREAHA', data=df_integrado, estimator=sum, ci=None, color='teal')\n", + "plt.title('Total de Área Desmatada por Ano (Bahia)', fontsize=14)\n", + "plt.xlabel('Ano', fontsize=12)\n", + "plt.ylabel('Área Desmatada (ha)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.show()\n", + "\n", + "# 2. Gráfico de barras: Emissões de CO₂ por ano\n", + "plt.figure(figsize=(10,6))\n", + "sns.barplot(x='ANO', y='CO2_emitido', data=df_integrado, estimator=sum, ci=None, color='orange')\n", + "plt.title('Emissões de CO₂ por Ano (Bahia)', fontsize=14)\n", + "plt.xlabel('Ano', fontsize=12)\n", + "plt.ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "h8SueyKp5JVU", + "outputId": "80b970c1-2f59-4153-deaf-f18df51062c1" + }, + "execution_count": 201, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":3: FutureWarning: \n", + "\n", + "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", + "\n", + " sns.barplot(x='ANO', y='AREAHA', data=df_integrado, estimator=sum, ci=None, color='teal')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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id2sLDw/X9u3btW/fPuvyzb/yxx9/aNGiRdq6datOnDih8+fP25wvvAbJEb/99pu8vb2LvEl5s2bNrL9IFvrxxx8lXbxOpaj7650+fVoFBQVKSkpSo0aN/vL5V69eLZPJpAcffNB6rFatWgoNDdWuXbt06NChIjdEKGpJVlJSktLS0lSpUiW7rdqli0tqpYt/R4UKfyFes2aNDhw4oIyMDBUUFFjPX8t7WxwlrTkoKEghISH69NNPdfLkSXXo0EFhYWGqX7/+FTe4uHTJZCF/f39JUr169Yo8t3v3bptjzn6fkpOTtXDhQn3zzTdKSUlRTk6OzflTp05Zl6AWhs6ixsuVxlBmZqYWL16sjRs3Kjk5WVlZWXb9l8TVnnvv3r3WY/v27ZOXl1eR35+FS6F//fVXu3OO7JJ5+vRpbdmyRbVr17ZZ1hgZGalp06ZpzZo1+sc//mHzAU6hosZ7YWjKyMi45tdzudTUVEmyCctFmTNnjnUzlry8PKWkpGjNmjWaP3++vv76ay1fvlzu7v/3a+G+ffv01ltv6YcfftCZM2fsgt2ff/5pE2ilol97lSpVJEnp6el/+VocHQuFt1YpfC8AXETQA3DLKJzJutIn14W/YBd3xis1NVU9e/bUiRMn1LRpU913332qUKGCypQpo3379mnTpk12vySXREZGhvWXnMsVfgJ9qbS0NEnS2rVrr9pvdnb2Xz73Tz/9pP379ys8PFzVqlWzOdejRw/t2rVLq1atst4f7K9qK/wF6sCBAzpw4ECxaps2bZqWLl2qqlWrql27dvL397d+Wj9//vxrem+LUvhLYOEsWklrdnd315IlSzR//nx9/vnn1s1N/Pz89Nhjj+mpp56y+8W+fPnydv0V/rJ8pXN5eXk2x5z5Ph05ckS9evVSZmamwsPD1bZtW5UvX15ubm7asWOHduzYYdNfRkaG3Nzc7DbKkIr+PsjJyVH//v31yy+/qEGDBnrwwQfl6+srd3d3HT9+XGvWrCnx32tR47nw2KVjOTMz84rj6Wpjv6jX8VfWrFmjvLw8mw9JpIt/p+3bt9e6dev0v//9T23atLF77NW+Jy69kbmjr+dyhTPQJblpuLu7u6pXr64RI0bo8OHDWrt2reLj462vd+fOnRowYIAkqWXLlqpTp468vb1lMpm0ceNG/frrr0X+PRf12gvHzKWB7UocHQuFH9DdbLuhAqWNoAfgllH4S8SZM2eKPF94vKhfNoqyatUqnThxQv/4xz80fPhwm3OLFi3Spk2brqHai5+wX76bXaE//vjD7lhh3QsWLFDbtm2v6bkLZwu//fbbK96M/uOPP9Yzzzxjt7nB5TsdXlpb586dFRMT85fP/8cff+i9995TSEiIPvjgA5sZ2NOnTxc5w3YtCgoK9P3330uSdbazpDVLUsWKFTV58mRNmjRJiYmJ+uabb/Tuu+9q3rx58vDw0NChQ51at7Pfp//+979KS0vTrFmz7JYHT5kyRTt27LA5VqFCBRUUFOjPP/+0WWZaWNvlNm3apF9++UU9e/bUSy+9ZHNu3bp11uWIJXHmzBm7DyOKGsvly5e3zsIW1cfl7QsV9f38VwqXZs6bN6/I2XXp4hgrKugVl6Ov53KFf2+FHxSV1D333KO1a9dqz5491qC3YMEC6261l8+4Fq48cLZrGQuFr/3y72HgdkfQA3DLCAwMlKenp/bs2aPs7Gy75ZuF1wZdupyucMldUZ8mHz16VJLsttiXZA0N1yIkJETffvutfvnlF7slTUX1X7iE68cff7ymoJeVlaV169bJy8vL7r5Zhfbs2aPffvtNX331lTp27PiXfQYFBal8+fL6+eeflZub+5e7ZSYnJ8swDN133312f0/OeG8v9/HHH+v48eMKDg627jxY0povZTKZFBQUpKCgILVr105t2rTR5s2bnR70HHmfCr+n8/Pz7WYYr/Q9bRhGkbtohoSE6JdfftH3339v3fXyas+fnJxcZP9Xq/evfP/993YzZ4V9XXqtav369fXNN99o9+7ddssdCwNsUctlHann8OHDqlWrlsLCwopsU7i75B9//OHQjKHkvNdTqVIl+fr62lz/VxKFIckwDOuxo0ePytfX1y7kZWdn2yyndaZr+ZlR+Novvb0OAInNWADcMsxms7p27ao///xTCxcutDm3detWbdu2ze6aGh8fH0nS77//btdf4XVKP/zwg83xtWvXasuWLddcb+GMyty5c22WbP3222/6+OOP7dp36NBB1apV09tvv63vvvvO7nxubm6xfplev369zp07p86dO+ull14q8r9//vOfkmR3neCVuLu7q2/fvjp+/LhmzpxZ5EYM+/fvt84CFc7Q7Nq1yyZknzx5UnPmzCnWcxZHfn6+Vq9eralTp6pMmTJ67rnnrDM4Ja352LFjOnbsmF2bwtmVojaJuFaOvE+OfE8vWrRI+/fvt2tf+D36+uuv21xrl5KSonfeeeeK9V7e/44dO7Ry5coi6/0rb7zxhs21axkZGXrzzTdlMplsNkIp3NRj9uzZNn+Xv//+u95++225u7vbBUZHFI6JYcOGXXH89OrVS7m5uTabxZSUs16PyWRSs2bNdOzYsSvOEF5JWlqa9R58l4a66tWrKy0tzWbJc35+vmbOnFni5yiua/mZ8dNPP8nf31916tS5LrUBtypm9ADcUp599ll99913evPNN7Vr1y7dc889On78uNavXy8vLy9Nnz7dZuOM5s2ba/HixZoyZYo6deokLy8vVatWTT169FD37t0VGxuradOm6dtvv1W1atX022+/KSEhQZ06ddKGDRuuqdaHHnpIn376qf73v/+pR48eatWqldLS0rRu3TpFREToyy+/tGlvNpv12muvaciQIXr88cfVvHlzBQcHy2Qy6cSJE/r+++/l6+ur9evXX/V5C39R/fvf/37FNvfdd5+qVKmi//3vf0pJSSlyh73LjRo1Snv37tW7776rLVu2qFmzZrrjjjuUkpKi/fv369dff9UHH3ygO+64w7rL4+eff66HH35YzZs31x9//KGvvvpKzZs3t848lcTXX39tvQ4pOztbKSkp+u6775SSkiJfX1/NmjXLbnfFktT866+/asSIEWrcuLGCgoLk7+9vvQedm5tbse9pVhKOvE/NmzfX559/rlGjRun++++Xp6en6tWrp3bt2qlPnz768MMPNWrUKEVGRsrX11c//vij9u7dqzZt2uirr76y6+vvf/+7PvzwQz3wwAPq2LGjcnJyFB8fryZNmth9j7Zt21bVq1fXW2+9pQMHDuiuu+5SUlKSvvrqK3Xo0EGff/55id+DOnXqqFu3bjb30Tt58qQGDRpks+lQ9+7dtWHDBm3atEkPPvig2rRpo+zsbH322WdKTU3VhAkTSnSPyaJkZmZq/fr18vb2VpcuXa7Y7qGHHtLChQu1atUqRUdHO/Rcznw9HTt21MaNG7V9+3Y98MADRbb5/PPPrRsP5efnKyUlRZs3b1Zqaqruv/9+mxndxx9/XNu2bdOjjz6qyMhImc1m7dixQykpKQoLC7NbAuwMjv7MOHr0qI4dO6a+ffs6vSbgVkfQA3BL8fPz04oVK/TGG29o8+bN+uGHH6wbJIwYMcJu6U7r1q317LPPauXKlXr77beVm5ursLAw9ejRQ1WqVNHSpUv1n//8RwkJCcrLy1PDhg21ePFi/f7779cc9Nzc3PTGG29o/vz5Wrt2rd555x3VqlVLzz33nGrXrm33S7R0cfnmJ598orfeektbt27Vzp07rVudd+jQ4YpLMQslJibqhx9+UI0aNa647Kywth49emjBggVas2aNhg0b9pevx2w2KzY2VqtWrdJHH32kDRs2KCcnR3feeaeCgoLUp08fm/f/5ZdfVvXq1fX5559r6dKl1m3jhwwZ4lAgSEhIUEJCgkwmk7y8vFSxYkU1aNBATz75pB544AHrTJejNd99990aMmSIduzYoS1btig9PV3+/v667777FB0drSZNmpS45uIo6fv0yCOP6Pjx44qPj9dbb72lvLw8PfTQQ2rXrp0aNGiguLg4vfrqq9qwYYPKlCmj0NBQLV++3Lrc8HLTpk1TQECAVqxYoaVLl6pKlSoaNGiQIiMj7b5Hy5UrpyVLlug///mPvvvuO+3YsUN169bVK6+8ojvuuMOhv9fXXntNMTExWrdunc6cOaMaNWpo0qRJ1i31C5lMJsXExOidd97RmjVrrDfPbtiwoQYOHFjkctKSWrdunbKzs/XQQw8VeTuNQgEBAWratKl27typnTt32t1wvDic+XoiIyP18ssv65NPPrlq0Lv076dcuXK666671K1bN/Xt29fmA7K2bdsqJiZGCxcu1CeffKKyZcuqefPmev311/X666+X+LUWlyM/MwpvQdGnT5/rVhdwqzIZly7KBgAAuAH69eunHTt22N1XEI559dVXFRsbqw0bNliX8Lq6vLw8derUSTVq1ChyqTFwu+MaPQAAgFvcE088IR8fHy1YsKC0S7lh1qxZoxMnThR5mxgABD0AAIBbXvny5TVr1ixVr17dZvMnV2YymfTvf/+7yBu1A2DpJgAAKAUs3QSA64ugBwAAAAAuhqWbAAAAAOBiCHoAAAAA4GK4j95NbteuXTIMQx4eHqVdCgAAAIBSlJubK5PJpNDQ0L9sS9C7yRmGIS6jBAAAAFCSXEDQu8kVzuQ1atSolCsBAAAAUJr27NlT7LZcowcAAAAALoagBwAAAAAuhqAHAAAAAC6GoAcAAAAALoagBwAAAAAuhqAHAAAAAC6GoAcAAAAALoagBwAAAAAuhqAHAAAAAC6GoAcAAAAALoagBwAAAAAuhqAHAAAAAC6GoAcAAAAALoagBwAAAAAuhqAHAAAAAC6GoAcAAAAALoagBwAAAAAuhqAHAAAAAC6GoAcAAAAALoagBwAAAAAuhqAHAACA21J+QUFpl4DbRGl8r7nf8GcEAAAAbgJl3Nz05Lvv6rdTp0q7FLiwkEqVtKhfvxv+vAQ9AAAA3LZ+O3VKu48dK+0yAKdj6SYAAAAAuBiCHgAAAAC4GIIeAAAAALgYgh4AAAAAuJibLugdOXJEU6ZMUffu3dWgQQN169atyHbp6emaNm2aIiIi1KhRI3Xo0EGLFy+2aZOTk6OZM2eqZcuWatKkiQYNGqTExES7vg4dOqRBgwapSZMmatmypWbNmqWcnBy7ditXrlTnzp3VqFEjPfjgg/ryyy/t2mRkZGjixIkKCwtTaGioRo0apVPs5AQAAADgBrrpdt08cOCAtmzZonvuuUcFBQUyDMOuTVZWlvr166cyZcpo4sSJuuOOO3T48GFlZmbatJs2bZri4+M1YcIEVa5cWQsWLNDAgQO1bt06VahQQZKUlpamAQMGqE6dOpo3b55SUlI0Y8YMnT9/XlOmTLH2tW7dOk2ePFnDhg1T8+bNFR8frxEjRui9995TkyZNrO1Gjx6tgwcPaurUqfL09NSrr76qIUOGaPXq1XJ3v+nebgAAAAAu6KZLHu3atVOHDh0kSRMmTNDPP/9s12bRokU6d+6cPvnkE3l7e0uSwsPDbdqcPHlSq1at0r/+9S/17NlTktSoUSO1bdtW77//voYMGSJJev/993Xu3DnNnz9fvr6+kqT8/Hy98MILGjp0qCpXrixJiomJUdeuXTV69GhJUvPmzbV//369/vrrio2NlSTt2rVL27ZtU1xcnCIiIiRJAQEBioqK0oYNGxQVFeXEdwoAAAAAinbTLd10c/vrklatWqWHH37YGvKKsm3bNhUUFKhLly7WY76+vmrZsqW2bt1qPbZ161a1aNHCGvIkKTIyUgUFBdq+fbskKTk5WYcPH1ZkZKTNc0RFRSkhIcG6zHPr1q2yWCxq2bKltU1gYKDq169v85wAAAAAcD3ddEHvrxw7dkynT59WxYoVNWzYMN19990KCwvTpEmTdO7cOWu7xMRE3XHHHfLx8bF5fFBQkM11eomJiQoMDLRpY7FY5O/vb21X+GdAQIBdX7m5uUpOTra2CwgIkMlksmkXGBhY5LWBAAAAAHA93HRLN//KmTNnJEkzZ85Up06dFBsbq8OHD2v27NnKysrSnDlzJF3crKXwOrxLWSwWpaWlWb9OT0+XxWKxa+fj42NtV/jn5e0Kvy48f6Xn9PHxKXIJanEZhqGsrCyHHw8AAABbJpNJXl5epV0GbiPZ2dlF7j9SEoZh2E0qXcktF/QKCgokXZxdmzlzpiSpRYsWcnd316RJkzRmzBjVrFmzNEt0utzcXO3bt6+0ywAAAHAZXl5eatCgQWmXgdtIUlKSsrOzr7kfs9lcrHa3XNArXIp5+eYrzZs3l3Rx186aNWvKYrHY7cIpXZx1u3Q5p8ViUUZGhl27tLQ0a7vCPzMyMuTv72/T16XnLRaLTp48edW+HOHh4aG6des6/HgAAADYKu6sCOAsAQEB1zyjd/DgwWK3veWCXs2aNa+aYi9cuCDp4nVxZ86csQtZl1+TV9T1cxkZGTp9+rS1XeGflz82MTFRHh4e1hnEwMBAJSQk2E2pJiUlKTg42NGXLJPJdNWNZwAAAADc3JyxVLgkH1DccpuxmM1mtWzZUgkJCTbHv/76a0lSw4YNJUkRERFyc3PThg0brG3S0tK0bds2tWrVynqsVatW+vrrr62zc5K0fv16ubm5WXfPrFmzpurUqaP169fbPGd8fLxatGhhDZ6tWrVSWlqaTW1JSUnau3evzXMCAAAAwPV0083oZWdna8uWLZKk48ePKzMz0xqwwsLC5OfnpxEjRqhPnz4aO3asHnroIR05ckSzZ8/WAw88oFq1akmSqlSpop49e2rWrFlyc3NT5cqVtXDhQlWoUEF9+vSxPl+fPn307rvv6umnn9bQoUOVkpKiWbNmqU+fPtZ76EnSyJEjNW7cONWqVUvh4eGKj4/X7t27tXTpUmub0NBQRUREaOLEiRo/frw8PT01d+5chYSEqFOnTjfi7QMAAAAAmYxrXSjqZMeOHVP79u2LPPfOO+9Yr81LSEjQK6+8ov3798vHx0cPPPCAxowZY7OsMycnR3PnztXHH3+sc+fOqWnTppo0aZKCgoJs+j106JD+/e9/a9euXSpXrpy6d+9u15ckrVy5UrGxsTpx4oQCAgL0zDPPqG3btjZtMjIy9PLLL+uLL75QXl6eIiIiNGnSJJvQWBJ79uyRdPFm7wAAAHCu1rNna/exY6VdBlxY4xo1tGXsWKf0VZJscNMFPdgi6AEAAFw/BD1cb6UV9G65a/QAAAAAAFdH0AMAAAAAF0PQAwAAAAAXQ9ADAAAAABdD0AMAAAAAF0PQAwAAAAAXQ9ADAAAAABdD0AMAAAAAF0PQAwAAAAAXQ9ADAAAAABdD0AMAAAAAF0PQAwAAAAAXQ9ADAAAAABdD0AMAAAAAF0PQAwAAAAAXQ9ADAAAAABdD0AMAAAAAF0PQAwAAAAAXQ9ADAAAAABdD0AMAAAAAF0PQAwAAAAAXQ9ADAAAAABdD0AMAAAAAF0PQAwAAAAAXQ9ADAAAAABdD0AMAAAAAF0PQAwAAAAAXQ9ADAAAAABdD0AMAAAAAF0PQAwAAAAAXQ9ADAAAAABdD0AMAAAAAF0PQAwAAAAAXQ9ADAAAAABdD0AMAAAAAF0PQAwAAAAAXQ9ADAAAAABdD0AMAAAAAF0PQAwAAAAAXQ9ADAAAAABdD0AMAAAAAF3PTBb0jR45oypQp6t69uxo0aKBu3bpdtf3GjRsVEhJSZLuMjAxNnDhRYWFhCg0N1ahRo3Tq1Cm7djt37lTv3r3VuHFjtW3bVosWLZJhGDZtDMPQokWL1KZNGzVu3Fi9e/fWjz/+aNdXSkqKRo4cqdDQUIWFhen5559XZmZmyd4EAAAAALgGN13QO3DggLZs2aLatWsrKCjoqm3Pnz+v6dOn68477yzy/OjRo7V9+3ZNnTpVr7zyipKSkjRkyBDl5eVZ2xw5ckTR0dHy9/fXwoULNWDAAMXExGjx4sU2fcXGxiomJkYDBw7UwoUL5e/vr8GDBys5OdnaJjc3V0888YQOHz6s2bNna+rUqdq2bZvGjh17De8IAAAAAJSMe2kXcLl27dqpQ4cOkqQJEybo559/vmLbhQsXqlq1aqpRo4Zdu127dmnbtm2Ki4tTRESEJCkgIEBRUVHasGGDoqKiJElxcXGqWLGi5syZI7PZrBYtWujs2bNasGCB+vXrJ7PZrAsXLmjhwoUaPHiwBg4cKEm699571aVLF8XFxWnq1KmSpM8//1wHDhxQfHy8AgMDJUkWi0XR0dHavXu3Gjdu7My3CgAAAACKdNPN6Lm5Fa+ko0eP6u2339akSZOKPL9161ZZLBa1bNnSeiwwMFD169fX1q1bbdq1b99eZrPZeiwqKkrp6enatWuXpItLOzMzMxUZGWltYzab1bFjR7u+QkJCrCFPklq2bClfX19t2bKlWK8LAAAAAK7VTRf0iuull15S9+7dVa9evSLPJyYmKiAgQCaTyeZ4YGCgEhMTJUlZWVn6/fffbYJZYRuTyWRtV/jn5e2CgoJ04sQJnT9/3tru8jYmk0kBAQHWPgAAAADgervplm4Wx+bNm7Vr1y6tX7/+im3S09NVoUIFu+M+Pj7WZZ4ZGRmSLi6vvJTZbJaXl5fS0tKsfZnNZnl6etq0s1gsMgxDaWlpKlu27FWfs7AvRxiGoaysLIcfDwAAAFsmk0leXl6lXQZuI9nZ2XYbPpaUYRh2E1lXcssFvQsXLmj69OkaOXKk/Pz8SrucGyI3N1f79u0r7TIAAABchpeXlxo0aFDaZeA2kpSUpOzs7Gvu59JLzq7mlgt6S5YskZubm7p27ar09HRJF4NQQUGB0tPTVbZsWZnNZlksFp08edLu8WlpafLx8ZEk6+xb4cxeoZycHGVnZ1vbWSwW5eTk6MKFCzazeunp6TKZTDbtirqVQlpamqpWrerwa/bw8FDdunUdfjwAAABsFXdWBHCWgICAa57RO3jwYLHb3nJBLzExUUeOHFGLFi3szv3tb3/T1KlT1bdvXwUGBiohIcFuejMpKUnBwcGSJG9vb1WtWtXu+rmkpCQZhmG93q7wz6SkJJtrAhMTE1WtWjWVLVvW2m7//v02fRmGoaSkJJtNYUrKZDLJ29vb4ccDAAAAKF3OWCpckg8obrnNWIYMGaJ33nnH5r+IiAhVr15d77zzjtq1aydJatWqldLS0pSQkGB9bFJSkvbu3atWrVpZj7Vq1UqbNm1Sbm6u9Vh8fLwsFotCQ0MlSU2bNlX58uX12WefWdvk5uZqw4YNdn39+uuvOnz4sPVYQkKCUlNT1bp1a6e/FwAAAABQlJtuRi87O9t6K4Ljx48rMzPTuulKWFiYgoKC7G6kvmbNGqWkpCg8PNx6LDQ0VBEREZo4caLGjx8vT09PzZ07VyEhIerUqZO1XXR0tNauXauxY8eqb9++2r9/v+Li4jRmzBjr+ldPT08NHTpU8+bNk5+fn4KDg7V8+XKlpqYqOjra2lfnzp21cOFCjRw5Us8884yys7M1a9YstWnThnvoAQAAALhhbrqg98cff+gf//iHzbHCr9955x2bMPdXXn31Vb388suaMmWK8vLyFBERoUmTJsnd/f9edu3atRUXF6cZM2boySeflJ+fn0aNGqXBgwfb9DVkyBAZhqHFixfr7Nmzql+/vuLi4lSzZk1rGw8PD7311luaNm2annnmGbm7u6tjx46aOHGiI28FAAAAADjEZFzrFYG4rvbs2SNJatSoUSlXAgAA4Hpaz56t3ceOlXYZcGGNa9TQlrFjndJXSbLBLXeNHgAAAADg6gh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYm66oHfkyBFNmTJF3bt3V4MGDdStWzeb85mZmZo3b5569uypZs2a6b777tOwYcP022+/2fWVkZGhiRMnKiwsTKGhoRo1apROnTpl127nzp3q3bu3GjdurLZt22rRokUyDMOmjWEYWrRokdq0aaPGjRurd+/e+vHHH+36SklJ0ciRIxUaGqqwsDA9//zzyszMvLY3BQAAAABK4KYLegcOHNCWLVtUu3ZtBQUF2Z0/ceKEPvjgA7Vs2VKvvvqq/v3vfysjI0O9e/fWoUOHbNqOHj1a27dv19SpU/XKK68oKSlJQ4YMUV5enrXNkSNHFB0dLX9/fy1cuFADBgxQTEyMFi9ebNNXbGysYmJiNHDgQC1cuFD+/v4aPHiwkpOTrW1yc3P1xBNP6PDhw5o9e7amTp2qbdu2aezYsU5+lwAAAADgytxLu4DLtWvXTh06dJAkTZgwQT///LPN+Ro1auiLL76Ql5eX9Vjz5s3Vrl07LVu2TJMnT5Yk7dq1S9u2bVNcXJwiIiIkSQEBAYqKitKGDRsUFRUlSYqLi1PFihU1Z84cmc1mtWjRQmfPntWCBQvUr18/mc1mXbhwQQsXLtTgwYM1cOBASdK9996rLl26KC4uTlOnTpUkff755zpw4IDi4+MVGBgoSbJYLIqOjtbu3bvVuHHj6/a+AQAAAEChm25Gz83t6iV5e3vbhDxJKleunGrVqmWzLHPr1q2yWCxq2bKl9VhgYKDq16+vrVu32rRr3769zGaz9VhUVJTS09O1a9cuSReXdmZmZioyMtLaxmw2q2PHjnZ9hYSEWEOeJLVs2VK+vr7asmVLcd8CAAAAALgmN13Qc0R6eroOHDhgE7ASExMVEBAgk8lk0zYwMFCJiYmSpKysLP3+++82jytsYzKZrO0K/7y8XVBQkE6cOKHz589b213exmQyKSAgwNoHAAAAAFxvN93STUf85z//kclkUt++fa3H0tPTVaFCBbu2Pj4+1uWgGRkZki4ur7yU2WyWl5eX0tLSrH2ZzWZ5enratLNYLDIMQ2lpaSpbtuxVn7OwL0cYhqGsrCyHHw8AAABbJpPJbpUYcD1lZ2fbbfhYUoZh2E1kXcktH/RWr16tFStWaMaMGapSpUppl3Nd5Obmat++faVdBgAAgMvw8vJSgwYNSrsM3EaSkpKUnZ19zf1cesnZ1dzSQW/Lli2aMmWKhg8froceesjmnMVi0cmTJ+0ek5aWJh8fH0myzr4VzuwVysnJUXZ2trWdxWJRTk6OLly4YDOrl56eLpPJZNOuqFsppKWlqWrVqg6/Tg8PD9WtW9fhxwMAAMBWcWdFAGcJCAi45hm9gwcPFrutw0Hv3LlzSkxM1J9//imTyaSKFSuqTp06Kl++vKNdlsiPP/6of/zjH+rRo4f+8Y9/2J0PDAxUQkKC3fRmUlKSgoODJV3c2KVq1ap2188lJSXJMAzr9XaFfyYlJalevXrWdomJiapWrZrKli1rbbd//36bvgzDUFJSks2mMCVlMpnk7e3t8OMBAAAAlC5nLBUuyQcUJQp6ycnJ+uijj7Rp0yYdOHBABQUFNufd3NxUt25ddejQQT169FDNmjVL0n2xHTx4UEOHDlXz5s31wgsvFNmmVatWeuONN5SQkKD77rtP0sWgtnfvXj3xxBM27TZt2qRnn31WHh4ekqT4+HhZLBaFhoZKkpo2bary5cvrs88+swa93NxcbdiwQa1atbLp65NPPtHhw4dVp04dSVJCQoJSU1PVunVrp78PAAAAAFCUYgW9gwcPKiYmRl988YUsFovCwsLUpUsX1axZ07ohSXp6uo4dO6ZffvlFS5cu1RtvvKGOHTvqH//4R5E3Pr+S7Oxs660Ijh8/rszMTK1fv16SFBYWJsMwFB0dLU9PTw0YMMDmPnvly5e3LnEMDQ1VRESEJk6cqPHjx8vT01Nz585VSEiIOnXqZH1MdHS01q5dq7Fjx6pv377av3+/4uLiNGbMGOv6V09PTw0dOlTz5s2Tn5+fgoODtXz5cqWmpio6OtraV+fOnbVw4UKNHDlSzzzzjLKzszVr1iy1adOGe+gBAAAAuGFMRjEWijZs2FCtW7dWnz59dN9998nd/er5MC8vT19//bXef/99bd261e6m51dz7NgxtW/fvshz77zzjiSpf//+RZ4PCwvTu+++a/06IyNDL7/8sr744gvl5eUpIiJCkyZNUuXKlW0et3PnTs2YMUP79u2Tn5+fHnvsMQ0ZMsRmatQwDC1atEjLli3T2bNnVb9+fT333HPWWb9CKSkpmjZtmrZt2yZ3d3d17NhREydOdHhJ6549eyRJjRo1cujxAAAAuLLWs2dr97FjpV0GXFjjGjW0ZexYp/RVkmxQrKB36NChEs3KOeuxIOgBAABcTwQ9XG+lFfSKdcP0awlqhDwAAAAAuLGKFfQAAAAAALcOh2+vcPr0aa1atUp79+5VRkaG3Q6cJpNJS5YsueYCAQAAAAAl41DQ+/XXX9W/f3+dP39eAQEB2r9/v+rWrav09HSlpKSoVq1aqlKlirNrBQAAAAAUg0NLN2fPni1vb2+tX79eb7/9tgzD0MSJE7VlyxbNnTtXaWlpGjdunLNrBQAAAAAUg0NBb+fOnerdu7eqVasmN7eLXRRu3hkZGakHHnhAs2bNcl6VAAAAAIBicyjoFRQU6M4775QkWSwWlSlTRqmpqdbzISEh+uWXX5xSIAAAAACgZBwKejVq1NCx/3+/ETc3N9WoUUMJCQnW8zt37lSFChWcUyEAAAAAoEQc2owlIiJC69ev15gxYyRJffv21YwZM5ScnCzDMLRjxw4NGjTIqYUCAAAAAIrHoaA3bNgwde3aVbm5ufLw8NCAAQOUlZWlDRs2yM3NTcOHD9fQoUOdXSsAAAAAoBgcCno+Pj7y8fGxfm0ymTR8+HANHz7caYUBAAAAABzj0DV6AAAAAICbl0MzepJ06NAhrV69WseOHVNaWpr19gqFTCaTlixZcs0FAgAAAABKxqGg99FHH2nixIlyd3dXQECALBaLXZvLgx8AAAAA4MZwKOjNnz9f9evXV2xsrPz8/JxdEwAAAADgGjh0jd6pU6f08MMPE/IAAAAA4CbkUNALCQnRqVOnnF0LAAAAAMAJHAp6EyZM0KpVq7Rz505n1wMAAAAAuEbFukZv2LBhdscqVKigxx57THXr1lXVqlXl5mabGU0mk958803nVAkAAAAAKLZiBb39+/cXebxq1ao6d+6cDh48aHfOZDJdW2UAAAAAAIcUK+ht3rz5etcBAAAAAHASh67RAwAAAADcvIoV9H7//XeHn+BaHgsAAAAAKLliBb2OHTvqueee0+7du4vd8c6dO/XPf/5TnTp1crg4AAAAAEDJFesavWXLlunVV1/VI488omrVqql58+Zq2LChatSoIYvFIsMwlJ6ermPHjunnn3/WN998o5SUFIWHh+u999673q8BAAAAAHCJYgW9xo0ba/Hixdq3b59Wr16tzZs368MPP5T0f7trGoYh6eJOnB06dNDDDz+s+vXrX6eyAQAAAABXUqygV6h+/fqaNGmSJk2apJSUFCUmJio1NVWS5Ovrq8DAQFWuXPl61AkAAAAAKKYSBb1LVa5cmVAHAAAAADchbq8AAAAAAC6GoAcAAAAALoagBwAAAAAuhqAHAAAAAC6GoAcAAAAALoagBwAAAAAuxuHbK0jSDz/8oL179yojI0MFBQU250wmk55++ulrKg4AAAAAUHIOBb3U1FQNHTpUu3fvlmEYMplMMgxDkqz/T9ADAAAAgNLh0NLNWbNm6bffftPs2bO1ceNGGYahuLg4ff755+rTp4/q16+v//3vf86uFQAAAABQDA4Fva1bt6p3796KiopSuXLlLnbk5qbatWvrX//6l6pXr67p06c7tVAAAAAAQPE4FPTS09NVt25dSbIGvXPnzlnPt2zZUtu2bXNCeQAAAACAknIo6FWqVElnzpyRJJnNZt1xxx369ddfredTUlJkMpmcUyEAAAAAoEQcCnp/+9vf9PXXX1u/joyMVFxcnN588029/vrrWrJkicLDwx0q6MiRI5oyZYq6d++uBg0aqFu3bkW2W7lypTp37qxGjRrpwQcf1JdffmnXJiMjQxMnTlRYWJhCQ0M1atQonTp1yq7dzp071bt3bzVu3Fht27bVokWLrJvLFDIMQ4sWLVKbNm3UuHFj9e7dWz/++KNdXykpKRo5cqRCQ0MVFham559/XpmZmQ69FwAAAADgCIeC3sCBA9WuXTvl5ORIkkaOHKl77rlHr732mubNm6e7775bkyZNcqigAwcOaMuWLapdu7aCgoKKbLNu3TpNnjxZkZGRio2NVZMmTTRixAi74DV69Ght375dU6dO1SuvvKKkpCQNGTJEeXl51jZHjhxRdHS0/P39tXDhQg0YMEAxMTFavHixTV+xsbGKiYnRwIEDtXDhQvn7+2vw4MFKTk62tsnNzdUTTzyhw4cPa/bs2Zo6daq2bdumsWPHOvReAAAAAIAjHLq9QkhIiEJCQqxf+/j46L///a/S09Pl5uam8uXLO1xQu3bt1KFDB0nShAkT9PPPP9u1iYmJUdeuXTV69GhJUvPmzbV//369/vrrio2NlSTt2rVL27ZtU1xcnCIiIiRJAQEBioqK0oYNGxQVFSVJiouLU8WKFTVnzhyZzWa1aNFCZ8+e1YIFC9SvXz+ZzWZduHBBCxcu1ODBgzVw4EBJ0r333qsuXbooLi5OU6dOlSR9/vnnOnDggOLj4xUYGChJslgsio6O1u7du9W4cWOH3xcAAAAAKC6HZvSuxGKxXFPIky7u3nk1ycnJOnz4sCIjI22OR0VFKSEhwTrLuHXrVlksFrVs2dLaJjAwUPXr19fWrVutx7Zu3ar27dvLbDbb9JWenq5du3ZJuri0MzMz0+Y5zWazOnbsaNdXSEiINeRJFzem8fX11ZYtW0ryNgAAAACAw4o1o/fRRx851HmPHj0cetzVJCYmSro4O3epoKAg5ebmKjk5WUFBQUpMTFRAQIDdpjCBgYHWPrKysvT777/bBLPCNiaTSYmJiQoPD7e2v7xdUFCQlixZovPnz6ts2bJKTEy0a2MymRQQEGDtAwAAAACut2IFvQkTJtgdKwxQl29acmmwuh5BLy0tTdLF2cNLFX5deD49PV0VKlSwe7yPj491OWhGRkaRfZnNZnl5edn0ZTab5enpafechmEoLS1NZcuWvepzFvblCMMwlJWV5fDjAQC4lMlkktnTU2X+YhUN4Az5BQXKuXDB7nfG0mYymeTl5VXaZeA2kp2dfc3jwDCMYt/doFhBb9OmTTZfZ2RkaPz48apQoYIef/xx6+xaYmKili5dqnPnzmnGjBklLBtXkpubq3379pV2GQAAF+Hl5aUGDRroyXff1W9F7EYNOEtIpUpa1K+fkpKSlJ2dXdrl2CgcB8CN4qxxcOklZ1dTrKBXvXp1m6+fe+45+fn5afHixTaJMiQkRJ07d9bgwYO1ZMkSvfzyyyUouXh8fHwkXQyb/v7+1uPp6ek25y0Wi06ePGn3+LS0NGubwtm3wpm9Qjk5OcrOzrbpKycnRxcuXLCZ1UtPT5fJZLJpV9StFNLS0lS1alXHXrAkDw8P6w3qAQC4VoX/dv926pR2HztWytXgdhAQEHBTzugBN5IzxsHBgweL3dahXTc3btyo0aNHFzlA3Nzc1LFjR7322muOdP2XCq+Bu/x6uMTERHl4eKhmzZrWdgkJCXbTm0lJSQoODpYkeXt7q2rVqnbXzyUlJckwDGv/hX8mJSWpXr16Ns9ZrVo1lS1b1tpu//79Nn0ZhqGkpCSbTWFKymQyydvb2+HHAwAAlCaWSALOGQcl+YDCocX5heHlSg4dOnTdPrWpWbOm6tSpo/Xr19scj4+PV4sWLaxTma1atVJaWpoSEhKsbZKSkrR37161atXKeqxVq1batGmTcnNzbfqyWCwKDQ2VJDVt2lTly5fXZ599Zm2Tm5urDRs22PX166+/6vDhw9ZjCQkJSk1NVevWrZ3zBgAAAADAX3BoRq9Dhw5avny5qlevrj59+ljTaXZ2tpYvX64PPvhADzzwgEMFZWdnW29FcPz4cWVmZlpDXVhYmPz8/DRy5EiNGzdOtWrVUnh4uOLj47V7924tXbrU2k9oaKgiIiI0ceJEjR8/Xp6enpo7d65CQkLUqVMna7vo6GitXbtWY8eOVd++fbV//37FxcVpzJgx1tDo6empoUOHat68efLz81NwcLCWL1+u1NRURUdHW/vq3LmzFi5cqJEjR+qZZ55Rdna2Zs2apTZt2nAPPQAAAAA3jMlwYOotIyNDTz31lL7//nu5u7urUqVKkqRTp04pLy9PTZs21YIFC+x2syyOY8eOqX379kWee+eddxQeHi5JWrlypWJjY3XixAkFBATomWeeUdu2be3qfPnll/XFF18oLy9PERERmjRpkipXrmzTbufOnZoxY4b27dsnPz8/PfbYYxoyZIjN1KhhGFq0aJGWLVums2fPqn79+nruueess36FUlJSNG3aNG3btk3u7u7q2LGjJk6c6PD9Bffs2SNJatSokUOPBwDgSlrPns01eriuGteooS1jx5Z2GVfFOMD15sxxUJJs4FDQK7Rx40Zt3bpVJ06ckCRVq1ZNrVu3Vrt27bjA1UkIegCA64VfcHG9EfSA0gt6Di3dLNShQwd16NDhWroAAAAAADgZd0oFAAAAABfj8Izer7/+qqVLl2rv3r3KyMhQQUGBzXmTyaSNGzdec4EAAAAAgJJxaEbv22+/Va9evfTVV1+pUqVKSk5OVs2aNVWpUiWdOHFC3t7e+tvf/ubsWgEAAAAAxeBQ0IuJiVHNmjW1fv16TZ8+XZI0dOhQLV++XO+//75SUlLUpUsXpxYKAAAAACgeh4Le3r171bNnT5UvX15lypSRJOvSzXvuuUe9e/fWa6+95rwqAQAAAADF5lDQK1OmjMqVKydJslgscnd31x9//GE9X7NmTR06dMg5FQIAAAAASsShoFerVi0dPnxY0sVNVwIDA202Xvnqq6905513OqVAAAAAAEDJOBT0WrdurXXr1ikvL0+SNGjQIG3YsEGdOnVSp06dtHnzZvXu3duphQIAAAAAiseh2ysMHz5c/fv3t16f99BDD8nNzU0bNmxQmTJlNGzYMP397393aqEAAAAAgOJxKOh5eHioYsWKNse6d++u7t27O6UoAAAAAIDjHFq62b59e23atOmK57/88ku1b9/e4aIAAAAAAI5zKOgdP35cWVlZVzyflZWlEydOOFwUAAAAAMBxDgU96eJum1eyZ88eWSwWR7sGAAAAAFyDYl+jt2TJEr3zzjuSLoa86dOna+7cuXbtMjMzlZ6erm7dujmvSgAAAABAsRU76N1xxx266667JF1culm5cmVVrlzZrp23t7caNmyoRx991HlVAgAAAACKrdhBr1u3btZZun79+mn48OFq0aLFdSsMAAAAAOAYh26v8O677zq7DgAAAACAkzgU9Arl5uYqMTFRGRkZMgzD7vzf/va3a+keAAAAAOAAh4JeQUGBZs+erWXLlun8+fNXbLdv3z6HCwMAAAAAOMahoLdgwQLFxcWpd+/euvfee/XPf/5T48aNk8Vi0bJly2QymfTss886u1YAAAAAQDE4dB+9NWvWKDIyUi+88ILuv/9+SVLDhg31yCOPaMWKFTKZTPrmm2+cWigAAAAAoHgcCnonT55U8+bNJUlms1mSlJOTY/36wQcf1Mcff+ykEgEAAAAAJeFQ0PP19VVWVpYkqVy5cipfvrySk5Nt2qSnp197dQAAAACAEnPoGr0GDRpoz5491q/Dw8O1ZMkS1a9fX4Zh6J133lFISIjTigQAAAAAFJ9DM3qPPPKIcnJyrMs1x4wZo/T0dD3++ON6/PHHde7cOU2YMMGphQIAAAAAisehGb327durffv21q/r1q2rjRs36ttvv1WZMmUUGhoqX19fZ9UIAAAAACiBa7ph+qUqVKigDh06OKs7AAAAAICDrino5ebmKiUlRenp6TIMw+58w4YNr6V7AAAAAIADHAp66enpmjlzptauXavc3Fy784ZhyGQyad++fddcIAAAAACgZBwKehMmTNCXX36pqKgo3XPPPapQoYKz6wIAAAAAOMihoLd9+3b169dPEydOdHY9AAAAAIBr5PAN02vXru3sWgAAAAAATuDwffTWrVungoICZ9cDAAAAALhGDi3dfPrpp5WTk6OHH35Y3bt3V+XKlVWmTBm7dp06dbrmAgEAAAAAJeNQ0EtJSdG3336rffv2XXFnTXbdBAAAAIDS4VDQmzhxon755RcNHTpUjRs3ZtdNAAAAALiJOBT0fvjhBw0ZMkSjRo1ydj0AAAAAgGvk0GYsd955p3x8fJxdCwAAAADACRwKeoMGDdKqVat07tw5Z9cDAAAAALhGDi3dzMnJkbu7uzp16qTIyEhVqVLFbtdNk8mkgQMHOqNGAAAAAEAJOBT0Zs6caf3/pUuXFtnmege9TZs2acGCBTp48KDKlSune++9V+PGjVPNmjVt2q1cuVJvvfWWTpw4oYCAAI0ZM0Zt27a1aZORkaGXX35ZGzduVG5uru6//35NmjRJlSpVsmm3c+dOzZw5U/v27dMdd9yhvn37asiQITKZTNY2hmEoNjZWy5Yt09mzZ1W/fn0999xzatKkyXV7LwAAAADgUg4FvU2bNjm7jhL59ttvNWLECPXo0UNjxoxRamqqXnvtNQ0ePFhr165V2bJlJUnr1q3T5MmTNWzYMDVv3lzx8fEaMWKE3nvvPZvgNXr0aB08eFBTp06Vp6enXn31VQ0ZMkSrV6+Wu/vFt+jIkSOKjo5Wy5YtNXr0aP3222965ZVXVKZMGUVHR1v7io2NVUxMjMaNG6eQkBC99957Gjx4sD7++GO7EAoAAAAA14NDQa969erOrqNE1q1bp2rVqmn69OnW2TQ/Pz8NGDBAP//8s5o1ayZJiomJUdeuXTV69GhJUvPmzbV//369/vrrio2NlSTt2rVL27ZtU1xcnCIiIiRJAQEBioqK0oYNGxQVFSVJiouLU8WKFTVnzhyZzWa1aNFCZ8+e1YIFC9SvXz+ZzWZduHBBCxcu1ODBg62zmffee6+6dOmiuLg4TZ069ca9SQAAAABuWw5txlKU7OxsrVq1SsuWLdPx48ed1W2R8vLyVK5cOZslk4X38jMMQ5KUnJysw4cPKzIy0uaxUVFRSkhIUE5OjiRp69atslgsatmypbVNYGCg6tevr61bt1qPbd26Ve3bt5fZbLbpKz09Xbt27ZJ0cWlnZmamzXOazWZ17NjRpi8AAAAAuJ4cCnoTJ05Ut27drF/n5OTokUce0aRJk/Tiiy+qR48e2rt3r9OKvNzf//53HTp0SO+9954yMjKUnJysOXPmqEGDBmratKkkKTExUdLF2blLBQUFKTc3V8nJydZ2AQEBNqFRuhj2CvvIysrS77//rsDAQLs2JpPJ2q7wz8vbBQUF6cSJEzp//rwzXj4AAAAAXJVDSze//fZbPfjgg9avP/30Ux04cECvvPKK6tWrp5EjR2r+/Pl64403nFbopZo1a6b58+dr7NixevHFFyVJ9evX11tvvWXd/TMtLU2SZLFYbB5b+HXh+fT0dOts4KV8fHz0888/S7q4WUtRfZnNZnl5edn0ZTab5enpafechmEoLS3Nev1gSRiGoaysrBI/DgCAophMJnl5eZV2GbiNZGdnW1dd3SwYB7jRnDEODMOwm6C6EoeC3pkzZ2yu09u4caPuvvtu6yzfI488ori4OEe6LpadO3fqn//8px555BG1adNGqampeuONN/Tkk09q2bJlDoWpm1lubq727dtX2mUAAFyEl5eXGjRoUNpl4DaSlJSk7Ozs0i7DBuMAN5qzxsGll5JdjUNBz8vLyzrLlZeXpx07dujxxx+3ni9Xrpz1/PUwbdo0NW/eXBMmTLAea9Kkidq0aaOPP/5YvXv3lo+Pj6SLs3H+/v7Wdunp6ZJkPW+xWHTy5Em750hLS7O2KZzxu/w15eTkKDs726avnJwcXbhwwWZWLz09XSaTydqupDw8PFS3bl2HHgsAwOWK+2kw4CwBAQE35YwecCM5YxwcPHiw2G0dCnoNGzbUihUrFB4ers2bN+vcuXNq166d9fzRo0d1xx13ONJ1sRw6dEjt27e3OValShVVrFhRR48elfR/18klJibaXDOXmJgoDw8P660OAgMDlZCQYDcNmpSUpODgYEmSt7e3qlatar0G79I2hmFY+y/8MykpSfXq1bN5zmrVqjk802gymeTt7e3QYwEAAEobSyQB54yDknxA4dBmLKNHj9bZs2f18MMPa/78+erUqZMaN25sPf/FF19YN0W5HqpVq2a32cvx48f1559/WpeU1qxZU3Xq1NH69ett2sXHx6tFixbWKc9WrVopLS1NCQkJ1jZJSUnau3evWrVqZT3WqlUrbdq0Sbm5uTZ9WSwWhYaGSpKaNm2q8uXL67PPPrO2yc3N1YYNG2z6AgAAAIDryaEZvUaNGumzzz7Tzp07ZbFYFBYWZj2Xnp6uRx991OaYs/Xp00fTp0/XtGnT1K5dO6WmpurNN9/UHXfcYXNrg5EjR2rcuHGqVauWwsPDFR8fr927d2vp0qXWNqGhoYqIiNDEiRM1fvx4eXp6au7cuQoJCVGnTp2s7aKjo7V27VqNHTtWffv21f79+xUXF6cxY8ZYQ6Onp6eGDh2qefPmyc/PT8HBwVq+fLlSU1NtbqoOAAAAANeTQ0FPuniD8g4dOtgdt1gsGjBgwDUV9Vf69+8vs9ms5cuXa/Xq1SpXrpyaNGmiV199VRUrVrS269atm7KzsxUbG6tFixYpICBA8+fPt87AFXr11Vf18ssva8qUKcrLy1NERIQmTZokd/f/e3tq166tuLg4zZgxQ08++aT8/Pw0atQoDR482KavIUOGyDAMLV68WGfPnlX9+vUVFxdnXSoKAAAAANebyXDwisD8/HytX79e3377rf744w+NGjVKISEhysjIUEJCgpo2bao777zT2fXedvbs2SPp4iwqAADO1Hr2bO0+dqy0y4ALa1yjhraMHVvaZVwV4wDXmzPHQUmygUMzeunp6XriiSe0e/dueXt7Kzs727rrpre3t6ZNm6YePXromWeecaR7AAAAAMA1cGgzlldeeUUHDhxQXFycNm7caLNNaJkyZdS5c2dt2bLFaUUCAAAAAIrPoaC3adMm9evXTy1btixyi886dero+PHj11wcAAAAAKDkHAp6GRkZqlGjxhXP5+XlKT8/3+GiAAAAAACOcyjo1apVS7/88ssVz2/fvl1BQUEOFwUAAAAAcJxDQa9nz55avXq14uPjrdfnmUwm5eTkaO7cufrf//6n3r17O7VQAAAAAEDxOLTr5oABA3Tw4EE988wzslgskqRx48YpNTVVeXl56t27t3r16uXUQgEAAAAAxeNQ0DOZTNZbKKxfv15Hjx5VQUGBatWqpcjISP3tb39zdp0AAAAAgGJyKOgVatasmZo1a+asWgAAAAAATuBw0Dt06JCOHj2qc+fOqVy5cqpVqxYbsAAAAADATaDEQe/999/XggULlJKSYneuatWqeuqpp7g+DwAAAABKUYmC3syZM/X222/Lx8dHDz/8sO666y55e3srKytL+/fv18aNGzVlyhQdPnxYzz777PWqGQAAAABwFcUOert379bbb7+tjh07aubMmfL29rZr8/zzz+vZZ5/V4sWL1aVLFzVq1MipxQIAAAAA/lqx76O3atUq+fv7a/bs2UWGPEny9vbWnDlzdMcdd2jVqlVOKxIAnCm/oKC0S8Btgu81AEBpKfaM3q5du9SlSxeZzeartvP09FSXLl307bffXnNxAHA9lHFz05PvvqvfTp0q7VLgwkIqVdKifv1KuwwAwG2q2EHv5MmTxd5Vs27duvr4448dLgoArrffTp3S7mPHSrsMAACA66LYSzczMzNVrly5YrX19vbWuXPnHC4KAAAAAOC4Ygc9wzBkMpmK3bFhGA4VBAAAAAC4NiW6vcLixYv16aef/mW7U1z3AgAAAAClpthBr1q1akpNTVVqamqx2letWtXRmgAAAAAA16DYQW/z5s3Xsw4AAAAAgJMU+xo9AAAAAMCtgaAHAAAAAC6GoAcAAAAALoagBwAAAAAuhqAHAAAAAC6GoAcAAAAALoagBwAAAAAuptj30bvc6dOntWrVKu3du1cZGRkqKCiwOW8ymbRkyZJrLhAAAAAAUDIOBb1ff/1V/fv31/nz5xUQEKD9+/erbt26Sk9PV0pKimrVqqUqVao4u1YAAAAAQDE4tHRz9uzZ8vb21vr16/X222/LMAxNnDhRW7Zs0dy5c5WWlqZx48Y5u1YAAAAAQDE4FPR27typ3r17q1q1anJzu9iFYRiSpMjISD3wwAOaNWuW86oEAAAAABSbQ0GvoKBAd955pyTJYrGoTJkySk1NtZ4PCQnRL7/84pQCAQAAAAAl41DQq1Gjho4dO3axAzc31ahRQwkJCdbzO3fuVIUKFZxTIQAAAACgRBzajCUiIkLr16/XmDFjJEl9+/bVjBkzlJycLMMwtGPHDg0aNMiphQIAAAAAisehoDds2DB17dpVubm58vDw0IABA5SVlaUNGzbIzc1Nw4cP19ChQ51dKwAAAACgGBwKej4+PvLx8bF+bTKZNHz4cA0fPtxphQEAAAAAHOPQNXqXOnXqlH799VdlZWU5ox4AAAAAwDVyOOht3LhRXbp0UevWrfXQQw/pp59+kiSdPXtWPXr00MaNG51WJAAAAACg+BwKeps3b9bIkSNVsWJFPf3009Z76EmSn5+fKleurNWrVzutSAAAAABA8TkU9F5//XU1a9ZMy5cv12OPPWZ3vkmTJtq3b981F/dX1qxZox49eqhRo0YKDw/XE088ofPnz1vPb968WQ8++KAaNWqkzp07Fxk+c3JyNHPmTLVs2VJNmjTRoEGDlJiYaNfu0KFDGjRokJo0aaKWLVtq1qxZysnJsWu3cuVKde7cWY0aNdKDDz6oL7/80rkvGgAAAAD+gkNB78CBA4qMjLzi+TvvvFN//PGHw0UVx5tvvql///vfioqKUlxcnF588UXVqFFD+fn5kqTvv/9eI0aMUJMmTRQbG6vIyEg9//zzWr9+vU0/06ZN08qVKzVmzBjNmzdPOTk5GjhwoDIyMqxt0tLSNGDAAOXm5mrevHkaM2aMVqxYoRkzZtj0tW7dOk2ePFmRkZGKjY1VkyZNNGLECP3444/X9b0AAAAAgEs5tOuml5eXsrOzr3g+OTlZvr6+jtb0lxITEzV//ny98cYbat26tfV4586drf//5ptvqnHjxnrxxRclSc2bN1dycrJiYmLUpUsXSdLJkye1atUq/etf/1LPnj0lSY0aNVLbtm31/vvva8iQIZKk999/X+fOndP8+fOtrys/P18vvPCChg4dqsqVK0uSYmJi1LVrV40ePdr6nPv379frr7+u2NjY6/Z+AAAAAMClHJrRCw8P10cffaS8vDy7c6dPn9aKFSsUERFxzcVdyYcffqgaNWrYhLxL5eTk6Ntvv7UGukJRUVE6dOiQjh07Jknatm2bCgoKbNr5+vqqZcuW2rp1q/XY1q1b1aJFC5vwGhkZqYKCAm3fvl3SxXB7+PBhu5nOqKgoJSQkFLnMEwAAAACuB4eC3j/+8Q+dPHlSPXv21AcffCCTyaRt27Zp7ty5euCBB2QYhp5++mln12r1008/KTg4WG+88YZatGihu+++W3369LHu/Hn06FHl5uYqMDDQ5nFBQUGSZL0GLzExUXfccYfNPQEL2116nV5iYqJdXxaLRf7+/jZ9SVJAQIBdX7m5uUpOTr7Wlw0AAAAAxeLQ0s2goCAtX75c06ZN02uvvSbDMBQXFydJCgsL07/+9S/VqFHDqYVe6vTp0/r555+1f/9+/etf/5KXl5cWLFigwYMHa8OGDUpLS5N0MYxdqvDrwvPp6emqUKGCXf8Wi8XaprDd5X1JF28cX9iuuM/pCMMwuE8h4CQmk0leXl6lXQZuI9nZ2Ta7U98MGAe40RgHgHPGgWEYMplMxWpb4qCXm5urQ4cOydfXV//973+VlpamI0eOyDAM1axZU35+fiUuuKQKg89rr72mevXqSZLuuecetWvXTkuXLr2uy0ZLQ25u7g3ZxRS4HXh5ealBgwalXQZuI0lJSVe9rr00MA5wozEOAOeNA7PZXKx2JQ56bm5uevjhhzV+/Hj1799fPj4+aty4cYkLvBYWi0W+vr7WkCddvLauQYMGOnjwoLp27SpJNjtnShdn5iRZl2paLBZlZmba9Z+enm6znNNisdj1JV2cpStsV/hnRkaG/P39r/icjvDw8FDdunUdfjyA/1PcT8EAZwkICLgpZzKAG4lxADhnHBw8eLDYbUsc9MqUKaNq1aqV6uYidevW1dGjR4s8d+HCBdWqVUseHh5KTEzU/fffbz1XeB1d4fV2gYGBOnPmjE1gK2x36TV5gYGBdvfWy8jI0OnTp236KuqxiYmJ8vDwUM2aNR1+vSaTSd7e3g4/HgBQelgaBjAOAMk546AkH1A4tBnL448/rhUrVig1NdWRh1+ztm3bKjU11WY5459//qlffvlFDRs2lNlsVnh4uD7//HObx8XHxysoKMh6/WBERITc3Ny0YcMGa5u0tDRt27ZNrVq1sh5r1aqVvv76a+vsnCStX79ebm5uatmypSSpZs2aqlOnjt19+uLj49WiRYtiT7ECAAAAwLVyaDOWgoICmc1mdezYUZ07d1b16tVVtmxZmzYmk0kDBw50Ro12OnTooEaNGmnUqFEaM2aMPD09tWjRIpnNZj366KOSpKeeekr9+/fX1KlTFRkZqW+//Vaffvqp5s6da+2nSpUq6tmzp2bNmiU3NzdVrlxZCxcuVIUKFdSnTx9ruz59+ujdd9/V008/raFDhyolJUWzZs1Snz59rPfQk6SRI0dq3LhxqlWrlsLDwxUfH6/du3dr6dKl1+V9AAAAAICiOBT0Zs6caf3/VatWFdnmegY9Nzc3LVq0SC+//LKmTJmi3NxcNWvWTO+99571+rhmzZpp3rx5evXVV7Vq1SpVq1ZN06ZNs7vP3aRJk1SuXDnNnj1b586dU9OmTfX222/b7Mbp4+OjJUuW6N///reefvpplStXTj179tSYMWNs+urWrZuys7MVGxurRYsWKSAgQPPnz1doaOh1eR8AAAAAoCgOBb1NmzY5u44S8/Pz03/+85+rtmnfvr3at29/1TZms1njx4/X+PHjr9ouKChI//3vf/+yrl69eqlXr15/2Q4AAAAArheHgl716tX/ss213DcOAAAAAOA4hzZjuZKcnBx99tlnGj58uMvdyw4AAAAAbhUOzehdyjAMJSQkaO3atfriiy+UmZkpPz8/devWzRn1AQAAAABKyOGg9/PPP2vt2rVat26dzpw5I5PJpKioKD3++ONq0qQJN6EEAAAAgFJyxaC3b98+1atXzyawJScn65NPPtHatWt15MgRVa5cWQ888IAaN26sMWPGqHPnzuwwCQAAAACl7IpB78svv9Trr7+uOXPmyGw2q3fv3tq9e7cqVqyozp07a9q0aWrWrJkk6ejRozesYAAAAADA1V1xM5ZBgwbJ3d3dekuBn376SdWrV9eLL76o559/3hryAAAAAAA3lyvO6Hl5eenVV19VcnKyJGny5Mn69NNPNWLECPn4+Khz586KiopSeHj4DSsWAAAAAPDX/nIzlpo1a0qSHnvsMT322GNKTk7W2rVr9emnn2rFihW68847FR4eLpPJxAYsAAAAAHATKPF99GrWrKnhw4crPj5eq1atUteuXbVjxw4ZhqEXXnhBkydP1pdffqkLFy5cj3rhBPkFBaVdAm4TfK8BAACUjmu6j97dd9+tu+++W+PHj9c333yjTz75RPHx8Vq5cqW8vLy0a9cuZ9UJJyrj5qYn331Xv506VdqlwIWFVKqkRf36lXYZAAAAt6VrvmG6JLm5uem+++7TfffdpxdeeEGbNm3S2rVrndE1rpPfTp3S7mPHSrsMAAAAANeBU4LepTw9PRUVFaWoqChndw0AAAAAKIYSX6MHAAAAALi5EfQAAAAAwMUQ9AAAAADAxRD0AAAAAMDFEPQAAAAAwMUQ9AAAAADAxRD0AAAAAMDFEPQAAAAAwMUQ9AAAAADAxRD0AAAAAMDFEPQAAAAAwMUQ9AAAAADAxRD0AAAAAMDFEPQAAAAAwMUQ9AAAAADAxRD0AAAAAMDFEPQAAAAAwMUQ9AAAAADAxRD0AAAAAMDFEPQAAAAAwMUQ9AAAAADAxRD0AAAAAMDFEPQAAAAAwMUQ9AAAAADAxRD0AAAAAMDFEPQAAAAAwMUQ9AAAAADAxRD0AAAAAMDFuETQO3funFq1aqWQkBDt2bPH5tzKlSvVuXNnNWrUSA8++KC+/PJLu8dnZGRo4sSJCgsLU2hoqEaNGqVTp07Ztdu5c6d69+6txo0bq23btlq0aJEMw7BpYxiGFi1apDZt2qhx48bq3bu3fvzxR6e+XgAAAAC4GpcIem+88Yby8/Ptjq9bt06TJ09WZGSkYmNj1aRJE40YMcIueI0ePVrbt2/X1KlT9corrygpKUlDhgxRXl6etc2RI0cUHR0tf39/LVy4UAMGDFBMTIwWL15s01dsbKxiYmI0cOBALVy4UP7+/ho8eLCSk5Ovy2sHAAAAgMvd8kHv0KFDWrZsmUaOHGl3LiYmRl27dtXo0aPVvHlzvfjii2rUqJFef/11a5tdu3Zp27ZteumllxQVFaX27dvrtdde02+//aYNGzZY28XFxalixYqaM2eOWrRooYEDB2rw4MFasGCBcnJyJEkXLlzQwoULNXjwYA0cOFAtWrTQnDlz5Ovrq7i4uOv/ZgAAAACAXCDoTZs2TX369FFAQIDN8eTkZB0+fFiRkZE2x6OiopSQkGANZ1u3bpXFYlHLli2tbQIDA1W/fn1t3brVemzr1q1q3769zGazTV/p6enatWuXpItLOzMzM22e02w2q2PHjjZ9AQAAAMD1dEsHvfXr12v//v16+umn7c4lJiZKkl0ADAoKUm5urnUpZWJiogICAmQymWzaBQYGWvvIysrS77//rsDAQLs2JpPJ2q7wz8vbBQUF6cSJEzp//ryjLxUAAAAAis29tAtwVHZ2tmbMmKExY8aofPnydufT0tIkSRaLxeZ44deF59PT01WhQgW7x/v4+Ojnn3+WdHGzlqL6MpvN8vLysunLbDbL09PT7jkNw1BaWprKli1b4tdqGIaysrJK/LiimEwmeXl5OaUvoDiys7PtNi0qTYwB3Gg32xiQGAe48RgHgHPGgWEYdhNUV3LLBr0333xTd9xxhx5++OHSLuW6y83N1b59+5zSl5eXlxo0aOCUvoDiSEpKUnZ2dmmXYcUYwI12s40BiXGAG49xADhvHFx6KdnV3JJB7/jx41q8eLFef/1162xb4YxXVlaWzp07Jx8fH0kXZ+P8/f2tj01PT5ck63mLxaKTJ0/aPUdaWpq1TeGMX+FzFcrJyVF2drZNXzk5Obpw4YLNrF56erpMJpO1XUl5eHiobt26Dj32csX9BABwloCAgJvqU1zGAG60m20MSIwD3HiMA8A54+DgwYPFbntLBr1jx44pNzdXTz75pN25/v3765577tHs2bMlXbxu7tJr5hITE+Xh4aGaNWtKung9XUJCgt00aFJSkoKDgyVJ3t7eqlq1qvUavEvbGIZh7b/wz6SkJNWrV8/mOatVq+bQsk3p4g8ib29vhx4LlDaWxeB2xxgAGAeA5JxxUJIPKG7JzVjq16+vd955x+a/5557TpL0wgsv6F//+pdq1qypOnXqaP369TaPjY+PV4sWLaxTnq1atVJaWpoSEhKsbZKSkrR37161atXKeqxVq1batGmTcnNzbfqyWCwKDQ2VJDVt2lTly5fXZ599Zm2Tm5urDRs22PQFAAAAANfTLTmjZ7FYFB4eXuS5hg0bqmHDhpKkkSNHaty4capVq5bCw8MVHx+v3bt3a+nSpdb2oaGhioiI0MSJEzV+/Hh5enpq7ty5CgkJUadOnaztoqOjtXbtWo0dO1Z9+/bV/v37FRcXpzFjxlhDo6enp4YOHap58+bJz89PwcHBWr58uVJTUxUdHX0d3xEAAAAA+D+3ZNArrm7duik7O1uxsbFatGiRAgICNH/+fOsMXKFXX31VL7/8sqZMmaK8vDxFRERo0qRJcnf/v7endu3aiouL04wZM/Tkk0/Kz89Po0aN0uDBg236GjJkiAzD0OLFi3X27FnVr19fcXFx1qWiAAAAAHC9uUzQCw8P12+//WZ3vFevXurVq9dVH1uhQgVNnz5d06dPv2q7pk2basWKFVdtYzKZNHToUA0dOvSviwYAAACA6+CWvEYPAAAAAHBlBD0AAAAAcDEEPQAAAABwMQQ9AAAAAHAxBD0AAAAAcDEEPQAAAABwMQQ9AAAAAHAxBD0AAAAAcDEEPQAAAABwMQQ9AAAAAHAxBD0AAAAAcDEEPQAAAABwMQQ9AAAAAHAxBD0AAAAAcDEEPQAAAABwMQQ9AAAAAHAxBD0AAAAAcDEEPQAAAABwMQQ9AAAAAHAxBD0AAAAAcDEEPQAAAABwMQQ9AAAAAHAxBD0AAAAAcDEEPQAAAABwMQQ9AAAAAHAxBD0AAAAAcDEEPQAAAABwMQQ9AAAAAHAxBD0AAAAAcDEEPQAAAABwMQQ9AAAAAHAxBD0AAAAAcDEEPQAAAABwMQQ9AAAAAHAxBD0AAAAAcDEEPQAAAABwMQQ9AAAAAHAxBD0AAAAAcDEEPQAAAABwMQQ9AAAAAHAxt2TQ++yzz/TUU0+pVatWatKkibp3765Vq1bJMAybditXrlTnzp3VqFEjPfjgg/ryyy/t+srIyNDEiRMVFham0NBQjRo1SqdOnbJrt3PnTvXu3VuNGzdW27ZttWjRIrvnMwxDixYtUps2bdS4cWP17t1bP/74o1NfOwAAAAD8lVsy6P33v/+Vl5eXJkyYoDfffFOtWrXS5MmT9frrr1vbrFu3TpMnT1ZkZKRiY2PVpEkTjRgxwi54jR49Wtu3b9fUqVP1yiuvKCkpSUOGDFFeXp61zZEjRxQdHS1/f38tXLhQAwYMUExMjBYvXmzTV2xsrGJiYjRw4EAtXLhQ/v7+Gjx4sJKTk6/r+wEAAAAAl3Iv7QIc8eabb8rPz8/6dYsWLZSamqq3335bw4cPl5ubm2JiYtS1a1eNHj1aktS8eXPt379fr7/+umJjYyVJu3bt0rZt2xQXF6eIiAhJUkBAgKKiorRhwwZFRUVJkuLi4lSxYkXNmTNHZrNZLVq00NmzZ7VgwQL169dPZrNZFy5c0MKFCzV48GANHDhQknTvvfeqS5cuiouL09SpU2/Y+wMAAADg9nZLzuhdGvIK1a9fX5mZmcrKylJycrIOHz6syMhImzZRUVFKSEhQTk6OJGnr1q2yWCxq2bKltU1gYKDq16+vrVu3Wo9t3bpV7du3l9lstukrPT1du3btknRxaWdmZqbNc5rNZnXs2NGmLwAAAAC43m7JoFeUH374QZUrV1b58uWVmJgo6eLs3KWCgoKUm5trXUqZmJiogIAAmUwmm3aBgYHWPrKysvT7778rMDDQro3JZLK2K/zz8nZBQUE6ceKEzp8/76RXCgAAAABXd0su3bzc999/r/j4eI0fP16SlJaWJkmyWCw27Qq/Ljyfnp6uChUq2PXn4+Ojn3/+WdLFzVqK6stsNsvLy8umL7PZLE9PT7vnNAxDaWlpKlu2rEOvzzAMZWVlOfTYy5lMJnl5eTmlL6A4srOz7TYuKk2MAdxoN9sYkBgHuPEYB4BzxoFhGHaTVFdyywe9kydPasyYMQoPD1f//v1Lu5zrIjc3V/v27XNKX15eXmrQoIFT+gKKIykpSdnZ2aVdhhVjADfazTYGJMYBbjzGAeC8cXDp5WRXc0sHvfT0dA0ZMkS+vr6aN2+e3NwurkT18fGRdHE2zt/f36b9pectFotOnjxp129aWpq1TeGMX+HMXqGcnBxlZ2fb9JWTk6MLFy7YzOqlp6fLZDJZ2znCw8NDdevWdfjxlyruJwCAswQEBNxUn+IyBnCj3WxjQGIc4MZjHADOGQcHDx4sdttbNuidP39eQ4cOVUZGhj744AObJZiF18klJibaXDOXmJgoDw8P1axZ09ouISHBbgo0KSlJwcHBkiRvb29VrVrVeg3epW0Mw7D2X/hnUlKS6tWrZ/Oc1apVc3jZpnTxB5G3t7fDjwdKE8ticLtjDACMA0ByzjgoyQcUt+RmLHl5eRo9erQSExP11ltvqXLlyjbna9asqTp16mj9+vU2x+Pj49WiRQvrdGerVq2UlpamhIQEa5ukpCTt3btXrVq1sh5r1aqVNm3apNzcXJu+LBaLQkNDJUlNmzZV+fLl9dlnn1nb5ObmasOGDTZ9AQAAAMD1dkvO6L3wwgv68ssvNWHCBGVmZtrcBL1BgwYym80aOXKkxo0bp1q1aik8PFzx8fHavXu3li5dam0bGhqqiIgITZw4UePHj5enp6fmzp2rkJAQderUydouOjpaa9eu1dixY9W3b1/t379fcXFxGjNmjDU0enp6aujQoZo3b578/PwUHBys5cuXKzU1VdHR0TfsvQEAAACAWzLobd++XZI0Y8YMu3ObNm1SjRo11K1bN2VnZys2NlaLFi1SQECA5s+fb52BK/Tqq6/q5Zdf1pQpU5SXl6eIiAhNmjRJ7u7/99bUrl1bcXFxmjFjhp588kn5+flp1KhRGjx4sE1fQ4YMkWEYWrx4sc6ePav69esrLi7OulQUAAAAAG6EWzLobd68uVjtevXqpV69el21TYUKFTR9+nRNnz79qu2aNm2qFStWXLWNyWTS0KFDNXTo0GLVBwAAAADXwy15jR4AAAAA4MoIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIek526NAhDRo0SE2aNFHLli01a9Ys5eTklHZZAAAAAG4j7qVdgCtJS0vTgAEDVKdOHc2bN08pKSmaMWOGzp8/rylTppR2eQAAAABuEwQ9J3r//fd17tw5zZ8/X76+vpKk/Px8vfDCCxo6dKgqV65cugUCAAAAuC2wdNOJtm7dqhYtWlhDniRFRkaqoKBA27dvL73CAAAAANxWCHpOlJiYqMDAQJtjFotF/v7+SkxMLKWqAAAAANxuWLrpROnp6bJYLHbHfXx8lJaW5lCfubm5MgxDu3fvvtbyrEwmk6bed59y8/Od1idwOY8yZbRnzx4ZhlHapdhhDOBGuJnHgMQ4wI3BOACcOw5yc3NlMpmK1Zagd5Mr/Iss7l9ocd1ZvrxT+wOuxNnfu87CGMCNcrOOAYlxgBuHcQA4ZxyYTCaCXmmwWCzKyMiwO56WliYfHx+H+gwNDb3WsgAAAADcZrhGz4kCAwPtrsXLyMjQ6dOn7a7dAwAAAIDrhaDnRK1atdLXX3+t9PR067H169fLzc1NLVu2LMXKAAAAANxOTMbNenXsLSgtLU1du3ZVQECAhg4dar1h+gMPPMAN0wEAAADcMAQ9Jzt06JD+/e9/a9euXSpXrpy6d++uMWPGyGw2l3ZpAAAAAG4TBD0AAAAAcDFcowcAAAAALoagBwAAAAAuhqAHAAAAAC6GoAcAAAAALoagBwAAAAAuhqAHAAAAAC6GoAcAAAAALoagBwAAAAAuhqAHXCPDMEq7BKBUMQYAALj5EPSAa2QymSRJ+fn5pVwJUDoYA7jd8WEHYKugoKC0S4Ak99IuALgVZWdn6+OPP9apU6fk5+enjh07qnLlyqVdFnDDZGVlacWKFTpz5owqVqyoqKgoVa1atbTLAm6onJwcnT17VlWqVJFhGNYPPYDbyYULF5SQkKDDhw+rYsWKuv/+++Xn56eCggK5uTGnVJpMBh9DASWSmZmpRx55RGXKlFFmZqYkKSMjQ2PGjFHHjh1VqVKlUq4QuL7OnTunhx9+WN7e3srOzlZ+fr5Onz6tZ555Rp07d2YM4LaQlZWlAQMGqGzZspo2bZpq165N2MNtJzMzUwMGDNCFCxd0/Phxmc1m+fv7a/HixapUqRJjopQRs4ESyM/P16RJk2SxWPTaa69p/fr1euONN3T//fdr+vTpeuutt3T48OHSLhO4rl555RWVK1dOb7zxhj7++GMtWbJEvXr10ksvvaRFixbpyJEjpV0icF3l5OToueee0549e3TixAm98sorOnz4sEwmE8s4cds4f/68hgwZIl9fX7388svatm2bnn/+eeXm5mrmzJnKyckh5JUylm4CJXDu3DkdPnxYHTp0UGBgoCQpJCRE48aNU1pamlauXKkyZcpo0KBBzGrAJRmGoZMnTyokJERVqlSRJFWtWlUTJ05UlSpV9Oqrr6qgoEBDhw5lOTNcVkJCgr7//nsNGzZMZcuW1YcffqhXXnlF48aNU506dZjFgMszDEMrVqxQQUGBRo0apQYNGqhMmTJ68MEHtWvXLm3btk05OTkym82lXeptjRk9oATMZrNMJpP++OMP6zE3NzdVr15dISEhys7O1tKlS7V9+3ZJXIwM12MymVS2bFkdOHDAeiwvL0+SNHjwYI0ZM0bLli3TunXrJDEG4JrMZrNatWql4cOHa9iwYerZs6f279/PzB5uK/v375enp6caNmyoMmXKWP8tePDBB3XmzBkdPHiwlCsEQQ8oAbPZrICAAP3vf//TDz/8YPMPefXq1TVo0CA9/PDD+s9//qOzZ89yETJchmEY1l01w8LCdPr0aa1du1YFBQVyd3e3/gM/aNAgDR48WDExMUpOTmYMwKUU/swPCwvT1KlTrbMVTz75pHr16mUX9gBXVFBQIJPJpOeee04vvfSS3N3dZRiG3N0vLhSsUKGCcnNzlZOTU+RjcePwLzDwFwr/YTcMQ25ubpo0aZLy8/P14osv6rPPPtPx48e1c+dOzZo1S+XKldOoUaPk7+/PJ1lwKSaTSWXKlJEk9ejRQ35+flqwYIF2795t/Qe+MOw98cQTqlmzplasWCHDMJjZgMsoDG9lypSRp6enDMOw/uI6ZMgQm7CXnJwsSUpOTlZiYmKp1Qw4W+EHeOXKlVPNmjXtlir7+fmpbNmyysjIsB7Lzs5WRkYGH/7dYFyjB1xBdna2Tpw4oaCgIOsPsfz8fPn5+endd9/VsGHD9MILL6igoEBZWVnq1q2bRowYIUk6ffq0Dh8+rLCwsFJ+FYDjsrOz9f777+vQoUM6f/68Bg4cqKCgIHl5eenNN9/UI488ounTp2vSpEm6++67rZ/m+vn5qVy5cjp9+jSzGrjlFTUOQkJC5OHhIZPJJJPJZN1GfsiQITIMQ6tWrdLMmTP12GOP6b///a+SkpL08ccfy8vLq7RfDuCQvxoHl/Lx8ZG7u7vS0tIkXdyZc8qUKdq7d68+/fRTlSlThn8bbhCCHlCE7Oxsde3aVSdOnNDKlSvVqFEjGYahMmXKqKCgQDVq1NDq1auVkJCgM2fOyNfXVx06dJBhGNqzZ4/8/f0VHBxc2i8DcFhmZqYeffRR66xFZmamBg8erJkzZ6pt27aqXLmyFi1apCFDhuj555/XiBEj1LlzZ+tjy5UrZ72PUuEvw8Ct5q/GQWHAc3Nzs/7/k08+KZPJpBUrVujpp59WmTJltHjxYkIeblnFHQfSxaWZeXl5MplMysvLU0FBgWbNmqUtW7bo7bfftn4giBuD++gBl8nNzdWLL76oL7/8Ut7e3kpNTdVbb72lxo0b28zsFS5ju1RKSopee+01/fDDD3rnnXfYdRC3pJycHA0dOlSSNHXqVFWuXFk5OTkaM2aMkpOTbWYmfv/9dw0dOlSZmZkKCAjQ3XffrQMHDmjHjh364IMPFBQUVJovBXBYScZBocJ/I1JSUtSvXz+lpqbqvffe01133VUaLwG4ZiUdB3l5eTIMQx07dlTfvn11+vRprVy5UsuXL1eDBg1K62XctlgoC1zml19+0aeffqr27dtr5syZatCggaKjo7V7927rTmpFhbxvvvlGL774ojZv3qzXXnuNkIdb1ldffaVTp04pOjpatWrVUtmyZWWxWNS/f3+dOXNGe/bskXTxvpJVq1bV+++/r759+8rNzU3btm2Tm5ubli1bRsjDLa244+BSJpNJp06d0uTJk3Xy5EktXbqUkIdbWknHgbu7uzw8POTn56eYmBitXr1ay5YtI+SVEoIecJkmTZqob9++GjdunEJDQzV27FjVr19fgwcP1k8//VTkttmFm1EEBwfrvffeU7169UqpeuDanTt3TnfddZf+9re/2Xy/h4aGKj8/37rJRJkyZZSfny9vb28NGTJEsbGxWr58uebOncvSZdzyijsOLufm5iZ/f38tW7aMcYBbXknHQeEOze7u7srPz9fKlSvVsGHD0igdYukmYONKSzJ/+eUXzZw5U3v37lVcXJzuuece67m8vDzr1sJ5eXny8PC4kSUDTpeenq7MzExVq1bNeu1Fbm6uCgoK1KVLFw0bNky9e/e2tufm0HBFJR0Hl+JG0XAVJR0HhW0yMzN19uxZ1apVqxSrBzN6uO3l5+crIyND58+ft35SVXi/sMKvGzZsqPHjx9ss45QubpsdHx+v33//XSaTiZCHW9KlYyAnJ0cWi0VVqlSR9H/baLu7u8vT01PlypVTSkqK9bHZ2dn64YcflJ6eXiq1A85yrePg+++/V2pqqiQR8nDLutZxsHPnTp09e1bly5cn5N0E2PoGt7XMzEw9++yzOnXqlDIzM9W0aVP169fPupb80m2zGzZsqH/+85/6z3/+o8GDB2v69On6+OOPtW/fPr3//vul/EoAx/zVGChUOGPn7u5uDXWZmZl68cUX9dNPPzEGcEtjHACMA1fEjB5uW+fPn1ffvn2VkZGhhx56SK1bt9aBAwf0yCOP6KOPPrLe/NnNzc06s3f33Xdr/PjxCgkJ0ahRo/TNN99o3rx5qlSpUmm+FMAhxR0Dkqz/7+fnp7y8POXl5WnGjBn64osv9Morr6hixYql9TKAa8I4ABgHrooZPdy2EhISlJ+frxdeeMG6O2BiYqKWLFmiiRMnKjU1VY899pjdzUDLly8vk8kki8WiZcuWqW7duqX1EoBrUpIxULhkp3z58jp58qReeOEFffLJJ3r//ffZTQ23NMYBwDhwVQQ93LbS09N19OhRm/u/BAYGasKECbJYLJo1a5bKly+vnj17Wpdv/vnnn3rllVf0yy+/aPny5YQ83NJKMgYKlS9fXh9++KG8vb35Rx0ugXEAMA5cFUs3cdspKCiQJFWuXFm+vr766aefbG6X4OXlpaefflp9+vTR1KlTtWfPHuunVxUrVlRwcLCWLVvGLRRwy3J0DBiGobp16yogIEArVqzgH3Xc0hgHAOPA1XF7Bdx2Lly4IE9PT0lSr169lJeXp7i4OPn5+Vln7qSLO2qOHz9eFStW1Jw5c+Tu7l7krReAW40jY2D27NkqW7as0tLSlJOTI39//9J8CcA1YxwAjANXx4webgtZWVl6/fXXNWrUKI0ZM8a6I9RLL72klJQU/fOf/1ReXp7Nxis1a9bU/fffr7179+rChQuEPNzSnDEGJMnHx4d/1HHLYhwAjIPbCUEPLu/cuXN65JFHtGXLFmVnZys9PV1Tp07VokWLFBwcrMmTJ+unn37SU089pbS0NJuNVwICAlSmTBllZ2eX4isAro0zxsD58+dL8RUA145xADAObjdsxgKXlpOTo7Fjx6pSpUr617/+pdq1a+vMmTNasGCBYmNj1a5dO7Vr106GYWj69OmKjo7WyJEj1aRJE+Xm5mrz5s3y9fVVuXLlSvulAA5hDACMA0BiHNyOCHpwad98841OnTqlYcOGqWbNmpKkO++8U506ddLKlSt1+PBh1a1bVx06dFDt2rU1ZcoUTZw4Ubm5uapRo4aOHz+uJUuWqHz58qX8SgDHMAYAxgEgMQ5uRwQ9uLQaNWqofPnyuu++++Tm5ma9sDgsLExVq1bVnj171KFDB3l4eKhhw4ZavXq1Nm7cqOTkZFksFoWFhVl/GAK3IsYAwDgAJMbB7YigB5cWGBiohQsXysvLy2b3KEny9vbWuXPnJEkmk0n5+fkqU6aMOnToUFrlAk7HGAAYB4DEOLgdsRkLXF7hzT8Lf6Dl5+dLksqVK2dzQXF2drY2b94s7jgCV8MYABgHgMQ4uN0Q9HDbKbxNQoUKFfTnn39KkjIyMjR9+nQNHz5cZ86cKc3ygOuOMQAwDgCJceDqCHq4bZnNZmVnZ+v8+fOaNWuW1q9fr1WrVnFPGNw2GAMA4wCQGAeuiqCH205BQYGki8sX8vLyNH36dH3yySdaunSp7r777lKuDrj+GAMA4wCQGAeujs1YcNspXJdeqVIlrVmzRnv37tWyZcvUoEGDUq4MuDEYAwDjAJAYB66OGT3ctjp37iw/Pz998MEHatiwYWmXA9xwjAGAcQBIjANXZTLYTge3sfPnz6ts2bKlXQZQahgDAOMAkBgHroigBwAAAAAuhqWbAAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAAAA4GIIegAAAADgYgh6AAAAAOBiCHoAAJSS9957TyEhIerVq1dplwIAcDEEPQAASsnatWtVvXp17d69W0eOHCntcgAALoSgBwBAKUhOTtauXbv03HPPyc/PT2vXri3tkgAALoSgBwBAKVi7dq18fHzUunVrde7c2S7oHTt2TCEhIYqLi9MHH3ygDh066O6779bDDz+s3bt32/WXkJCgRx99VE2aNFGzZs301FNP6dChQzfq5QAAbjIEPQAASsHatWvVsWNHmc1mdevWTYcPHy4ywH366aeKi4tT7969NXr0aB0/flwjR45Ubm6utc3XX3+tJ554Qn/88YdGjBihgQMHateuXerbt6+OHTt2I18WAOAm4V7aBQAAcLv5+eeflZiYqMmTJ0uS7r33XlWpUkVr165V48aNbdqeOHFCGzZskI+PjyQpICBAw4cP17Zt29S2bVtJ0qxZs+Tj46MPPvhAvr6+kqQOHTrooYce0rx58zRz5swb9+IAADcFZvQAALjB1q5dqzvvvFPh4eGSJJPJpKioKMXHxys/P9+mbVRUlDXkSVKzZs0kXbzGT5JOnTqlffv26aGHHrKGPEmqV6/e/2vn7lka28IwDD9HC0FQ/ICAgpWVjdoJ0UKsUtlaWtpYWwr+BcFObW0lMY2BgKDob7BQAnYKBkGxEacYZmAmHphz0DDZXFe3eTeLtcqblZ2Uy+WcnZ198WkA+BsJPQDoore3t9Tr9SwsLOTu7i6tViutViuzs7N5eHjI5eXlL+9PTEz88vwj+p6enpJ8v/FLvt/0/W56ejqPj495eXn5iqMA8Bfz000A6KKrq6vc39+nXq+nXq93zGu1WpaWln4+9/f3f7jO+/v7l+0RgN4n9ACgi2q1WsbHx7O9vd0xazQaaTQa2dnZ+eP1JicnkyS3t7cds5ubm4yOjmZwcPD/bxiAniT0AKBLXl9fc3p6mkqlkkql0jEvlUo5OTlJs9ns+FOWf1MqlTIzM5Pj4+NsbGxkeHg4SXJ9fZ2Li4usrq5+6hkA6A2+0QOALmk2m3l+fs7KysqH8/n5+YyNjaVarf6ndbe2ttJut7O2tpaDg4Ps7e1lfX09Q0ND2dzc/IytA9BjhB4AdEm1Ws3AwEAWFxc/nPf19WV5eTnn5+dpt9t/vG65XM7+/n5GRkayu7ubw8PDzM3N5ejoKFNTU5+0ewB6yT/vvuYGAAAoFDd6AAAABSP0AAAACkboAQAAFIzQAwAAKBihBwAAUDBCDwAAoGCEHgAAQMEIPQAAgIIRegAAAAUj9AAAAApG6AEAABSM0AMAACgYoQcAAFAw3wA0pvi/TQs6jQAAAABJRU5ErkJggg==\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":12: FutureWarning: \n", + "\n", + "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", + "\n", + " sns.barplot(x='ANO', y='CO2_emitido', data=df_integrado, estimator=sum, ci=None, color='orange')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Gráfico de barras empilhadas: Desmatamento e CO₂ emitido nos 10 municípios com mais desmatamento\n", + "plt.figure(figsize=(12,7))\n", + "\n", + "# Selecionar os 10 municípios com maiores áreas desmatadas\n", + "municipios_mais_desmatados = df_integrado.groupby('MUNICIPIO')['AREAHA'].sum().nlargest(10).index\n", + "\n", + "# Filtrar o DataFrame para incluir apenas os 10 municípios selecionados\n", + "df_municipios_desmatados = df_integrado[df_integrado['MUNICIPIO'].isin(municipios_mais_desmatados)]\n", + "\n", + "# Criar gráfico de barras empilhadas com área desmatada e CO₂ emitido\n", + "sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, hue='ANO', ci=None, palette='viridis')\n", + "plt.title('Emissões de CO₂ nos 10 Municípios com Mais Desmatamento por Ano', fontsize=14)\n", + "plt.xlabel('Município', fontsize=12)\n", + "plt.ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.legend(title='Ano')\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 865 + }, + "id": "8Ko5txG75U2l", + "outputId": "28dc4b4d-046c-4ac5-9391-854a5e0c9e4a" + }, + "execution_count": 202, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":11: FutureWarning: \n", + "\n", + "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", + "\n", + " sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, hue='ANO', ci=None, palette='viridis')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Gráfico de barras para Emissões de CO2 por Município\n", + "\n", + "# Ordenar os municípios por CO2_emitido\n", + "df_sorted = df.sort_values(by='CO2_emitido', ascending=False)\n", + "\n", + "# Criar gráfico de barras para CO2 emitido por município\n", + "plt.figure(figsize=(12,8))\n", + "sns.barplot(x='CO2_emitido', y='MUNICIPIO', data=df_sorted, palette='Reds')\n", + "\n", + "plt.title('Emissões de CO2 por Município (Cerrado, Bahia)', fontsize=16)\n", + "plt.xlabel('Emissões de CO2 (toneladas)', fontsize=12)\n", + "plt.ylabel('Município', fontsize=12)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "\n", + "# Gráfico de barras para Área Desmatada por Município\n", + "\n", + "# Ordenar os municípios por área desmatada\n", + "df_sorted_area = df.sort_values(by='AREAHA', ascending=False)\n", + "\n", + "# Criar gráfico de barras para área desmatada por município\n", + "plt.figure(figsize=(12,8))\n", + "sns.barplot(x='AREAHA', y='MUNICIPIO', data=df_sorted_area, palette='Greens')\n", + "\n", + "plt.title('Área Desmatada por Município (Cerrado, Bahia)', fontsize=16)\n", + "plt.xlabel('Área Desmatada (hectares)', fontsize=12)\n", + "plt.ylabel('Município', fontsize=12)\n", + "plt.tight_layout()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "wDDP5Z0M6G7A", + "outputId": "02532576-f4a3-4429-c661-9a76e40db040" + }, + "execution_count": 204, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":8: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='CO2_emitido', y='MUNICIPIO', data=df_sorted, palette='Reds')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":24: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=df_sorted_area, palette='Greens')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import numpy as np\n", + "\n", + "# Criar gráfico de dispersão\n", + "plt.figure(figsize=(12, 8))\n", + "sns.scatterplot(data=df, x='AREAHA', y='CO2_emitido', color='blue', alpha=0.6)\n", + "\n", + "# Calcular a linha de tendência\n", + "x = df['AREAHA']\n", + "y = df['CO2_emitido']\n", + "m, b = np.polyfit(x, y, 1) # Ajustar uma linha de tendência (y = mx + b)\n", + "plt.plot(x, m*x + b, color='red', linewidth=2, label='Linha de Tendência')\n", + "\n", + "# Adicionar títulos e rótulos\n", + "plt.title('Relação entre Área Desmatada e Emissões de CO2', fontsize=16)\n", + "plt.xlabel('Área Desmatada (hectares)', fontsize=12)\n", + "plt.ylabel('Emissões de CO2 (toneladas)', fontsize=12)\n", + "plt.legend()\n", + "plt.tight_layout()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 801 + }, + "id": "V4nELkDH7DpW", + "outputId": "c24043ac-034b-46e5-fdad-b1724bb864ce" + }, + "execution_count": 205, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Calcular a correlação\n", + "correlacao = df['AREAHA'].corr(df['CO2_emitido'])\n", + "print(f'A correlação entre a área desmatada e CO2 emitido é: {correlacao}')\n", + "\n", + "# Interpretar a correlação\n", + "if correlacao > 0:\n", + " print(\"Correlação positiva: À medida que a área desmatada aumenta, as emissões de CO2 também tendem a aumentar.\")\n", + "elif correlacao < 0:\n", + " print(\"Correlação negativa: À medida que a área desmatada aumenta, as emissões de CO2 tendem a diminuir.\")\n", + "else:\n", + " print(\"Sem correlação: Não há relação clara entre as duas variáveis.\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "TeNn7MIA7Xl1", + "outputId": "faf6398b-7cdd-46c3-f24c-20883febeea3" + }, + "execution_count": 206, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "A correlação entre a área desmatada e CO2 emitido é: 0.1923958344678577\n", + "Correlação positiva: À medida que a área desmatada aumenta, as emissões de CO2 também tendem a aumentar.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# 5. Gráfico de calor: Correlação entre desmatamento e CO₂ emitido\n", + "plt.figure(figsize=(8,6))\n", + "correlation_matrix = df_integrado[['AREAHA', 'CO2_emitido']].corr()\n", + "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', linewidths=0.5)\n", + "plt.title('Correlação entre Desmatamento e CO₂ Emitido', fontsize=14)\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 551 + }, + "id": "qAKx9_Wo45Zm", + "outputId": "30835f3c-3b77-494d-ea24-84cc0c206947" + }, + "execution_count": 208, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Gráfico de dispersão: Relação entre área desmatada e CO₂ emitido\n", + "plt.figure(figsize=(10,6))\n", + "sns.scatterplot(x='AREAHA', y='CO2_emitido', data=df_integrado, hue='ANO', palette='coolwarm', s=100)\n", + "plt.title('Relação entre Área Desmatada e CO₂ Emitido', fontsize=14)\n", + "plt.xlabel('Área Desmatada (ha)', fontsize=12)\n", + "plt.ylabel('CO₂ Emitido (ton)', fontsize=12)\n", + "plt.legend(title='Ano')\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 577 + }, + "id": "rodHy-585rfa", + "outputId": "38c0b0ce-c726-4c3f-af74-2f685417db0d" + }, + "execution_count": 209, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Gráficos separados: Desmatamento e CO₂ por município para os 10 municípios mais desmatados\n", + "fig, axs = plt.subplots(2, 1, figsize=(12, 10))\n", + "\n", + "# Gráfico de barras para desmatamento nos 10 municípios mais desmatados\n", + "sns.barplot(x='MUNICIPIO', y='AREAHA', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[0], color='teal')\n", + "axs[0].set_title('Área Desmatada nos 10 Municípios (Bahia)', fontsize=14)\n", + "axs[0].set_xlabel('Município', fontsize=12)\n", + "axs[0].set_ylabel('Área Desmatada (ha)', fontsize=12)\n", + "axs[0].set_xticklabels(axs[0].get_xticklabels(), rotation=45)\n", + "\n", + "# Gráfico de barras para CO₂ nos 10 municípios mais desmatados\n", + "sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[1], color='orange')\n", + "axs[1].set_title('Emissões de CO₂ nos 10 Municípios (Bahia)', fontsize=14)\n", + "axs[1].set_xlabel('Município', fontsize=12)\n", + "axs[1].set_ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", + "axs[1].set_xticklabels(axs[1].get_xticklabels(), rotation=45)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ], + "metadata": { + "id": "nYQ-1hJwWP_m", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "outputId": "8acdd901-1a1d-4bf5-8fb1-4fa024a9f0c1" + }, + "execution_count": 210, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":5: FutureWarning: \n", + "\n", + "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", + "\n", + " sns.barplot(x='MUNICIPIO', y='AREAHA', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[0], color='teal')\n", + ":9: UserWarning: FixedFormatter should only be used together with FixedLocator\n", + " axs[0].set_xticklabels(axs[0].get_xticklabels(), rotation=45)\n", + ":12: FutureWarning: \n", + "\n", + "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", + "\n", + " sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[1], color='orange')\n", + ":16: UserWarning: FixedFormatter should only be used together with FixedLocator\n", + " axs[1].set_xticklabels(axs[1].get_xticklabels(), rotation=45)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**CRIANDO UM BANCO DE DADOS**\n", + "\n", + "\n", + "Vamos começar lendo dados de um arquivo CSV e inserindo-os em uma tabela do banco de dados SQLite." + ], + "metadata": { + "id": "3cmdxAhsfFZG" + } + }, + { + "cell_type": "code", + "source": [ + "import sqlite3\n", + "import pandas as pd\n", + "from sqlalchemy import create_engine\n", + "#from google.colab import files\n", + "\n", + "# Passo 1: Fazer upload do arquivo CSV\n", + "# uploaded = files.upload()\n", + "\n", + "# Passo 2: Ler o CSV em um DataFrame\n", + "df = pd.read_csv('dados_integrados.csv')\n", + "\n", + "# Passo 3: Criar o engine para o SQLite\n", + "engine = create_engine('sqlite:///banco.db') #abre e fecha conexões\n", + "\n", + "# Passo 4: Inserir o DataFrame no banco de dados SQLite\n", + "df.to_sql('desmatamento_co2', con=engine, if_exists='replace', index=False)\n", + "\n", + "print(\"Dados inseridos com sucesso no SQLite!\")\n", + "\n", + "# Passo 5: Consultar o banco de dados\n", + "conn = sqlite3.connect('banco.db')\n", + "cursor = conn.cursor()\n", + "\n", + "# Fazer uma consulta\n", + "cursor.execute(\"SELECT * FROM desmatamento_co2 LIMIT 5\")\n", + "rows = cursor.fetchall()\n", + "\n", + "# Mostrar os resultados\n", + "for row in rows:\n", + " print(row)\n", + "\n", + "# Fechar a conexão\n", + "conn.close()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "utOkFSAn2NNG", + "outputId": "e7c05bcd-596d-407c-b668-eea82a8cba10" + }, + "execution_count": 139, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Dados inseridos com sucesso no SQLite!\n", + "('Cerrado', 'BAHIA', 'são desidério', 12.52, 'agriculture', 3159579, 2021)\n", + "('Cerrado', 'BAHIA', 'luís eduardo magalhães', 4.83, 'agriculture', 654262, 2021)\n", + "('Cerrado', 'BAHIA', 'riachão das neves', 7.41, 'agriculture', 761963, 2021)\n", + "('Cerrado', 'BAHIA', 'baianópolis', 2.91, 'agriculture', 1700892, 2021)\n", + "('Cerrado', 'BAHIA', 'santa rita de cássia', 2.3, 'agriculture', 998700, 2021)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**CONSIDERAÇÔES FINAIS**\n", + "\n", + "\n", + "A análise inicial dos dados revelou que, apesar dos esforços de preservação, o desmatamento em várias regiões da Bahia aumentou significativamente nos últimos anos. Isso ocorre especialmente em áreas de biomas sensíveis, como a Caatinga e o Cerrado, que são biomas predominantes no estado.\n", + "\n", + "Esse aumento no desmatamento está intimamente relacionado ao aumento das emissões de CO₂, um dos principais gases responsáveis pelo efeito estufa. O impacto negativo do desmatamento é agravado pelo fato de que essas áreas desmatadas são substituídas por atividades que emitem ainda mais CO₂, como a agropecuária.\n", + "\n", + "Entretanto, as taxas de desmatamento e emissões de CO₂ apresentaram flutuações durante a pandemia de COVID-19, o que levanta questões sobre o papel de eventos globais e econômicos na redução temporária das atividades humanas e como isso afetou o meio ambiente local.\n", + "\n", + "Os resultados da análise reforçam a correlação direta entre desmatamento e emissões de CO₂ no estado da Bahia.\n", + "\n", + "Regiões com maiores áreas desmatadas apresentaram emissões de carbono proporcionalmente mais elevadas, principalmente em áreas destinadas à agropecuária.\n", + "\n", + "- A pandemia trouxe uma breve redução nas emissões, mas o desmatamento continuou a crescer, destacando a necessidade de políticas públicas mais robustas e eficientes para combater essa tendência.\n", + "\n", + "- A expansão agrícola é um dos principais motores do desmatamento e das emissões de CO₂ na Bahia.\n", + "\n", + "- Apesar da breve redução de emissões durante a pandemia, o desmatamento persistiu, o que sugere que fatores locais (como a pressão econômica) têm um papel crucial no aumento da degradação ambiental.\n", + "\n", + "- Medidas de mitigação mais efetivas, incluindo a fiscalização e preservação de áreas naturais, são fundamentais para controlar as emissões de carbono derivadas do desmatamento." + ], + "metadata": { + "id": "fdQmOKTrY-XL" + } + } + ] +} \ No newline at end of file From 991701c6cc0aa208715858461ccf0475459733fb Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 18:34:40 -0300 Subject: [PATCH 68/90] Rename projeto_final_paloma_anne.ipynb to dados/projeto_final_paloma_anne.ipynb --- .../projeto_final_paloma_anne.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename projeto_final_paloma_anne.ipynb => dados/projeto_final_paloma_anne.ipynb (99%) diff --git a/projeto_final_paloma_anne.ipynb b/dados/projeto_final_paloma_anne.ipynb similarity index 99% rename from projeto_final_paloma_anne.ipynb rename to dados/projeto_final_paloma_anne.ipynb index b01853a..e92e0c5 100644 --- a/projeto_final_paloma_anne.ipynb +++ b/dados/projeto_final_paloma_anne.ipynb @@ -2729,4 +2729,4 @@ } } ] -} \ No newline at end of file +} From 3a73c1642a334dab1fc8a704f10d71fea6fa76b0 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 18:50:23 -0300 Subject: [PATCH 69/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 539 +++++++++++++++++++++++------- 1 file changed, 422 insertions(+), 117 deletions(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 7fdaa79..5717c5c 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -1,7 +1,4 @@ -# Projeto Final de Análise de Dados - - -**Impacto do Desmatamento e Emissões de CO₂ na Bahia: Uma Análise ambiental no período da Pandemia** +# Projeto Final Desenvolvido por: @@ -9,57 +6,76 @@ Paloma Avena palomaavena@gmail.com Anne Ribeiro anne.asribeiro@gmail.com -## Contexto +--- -Este projeto tem como foco a criação de um banco de dados e a análise de dados sobre desmatamento e emissões de CO₂ no estado da Bahia nos últimos 5 anos. A partir disso, busca-se entender a relação entre o desmatamento e as emissões de CO₂, analisando possíveis impactos durante o período da pandemia. +## Contexto +Nos últimos anos, a questão do desmatamento e suas consequências ambientais têm se tornado uma preocupação crescente. A Bahia, por ser um estado de grande diversidade biológica, possui áreas significativas de florestas e biomas que desempenham um papel vital na regulação climática. O desmatamento pode impactar diretamente as emissões de dióxido de carbono (CO₂), contribuindo para o aquecimento global e alterações climáticas. +--- ## Etapas do projeto: -1.Seleção das Bases de Dados -2.Definição de Objetivo e Perguntas -3.Análise Exploratória -4.Geração da Base Final -5.Criação de Visualizações no Tableau -6.Apresentação Final +Selecionar a Base de Dados +Definir Objetivo e Perguntas +Realizar Análise Exploratória +Gerar Base Final +Criar Visualizações no Tableau +Preparar Apresentação Final --- -## Bases Escolhidas +## Bases de dados - **Base 1**: [MapBiomas Alertas](https://plataforma.alerta.mapbiomas.org/downloads) +- Dados de áreas(ha) desmatada por Municipío, Fator de pressão e Biomas no estado da Bahia. + ![image](https://github.com/user-attachments/assets/c88130d7-548c-4b12-9af6-8c31a6f222d7) - **Base 2**: [Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)](https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA..) +- Dados de CO2 em toneladas por Municípios e Biomas de Mudanças e usos do solo e floresta. ![image](https://github.com/user-attachments/assets/485e7e6c-9ebf-418c-8e25-d570c54780e1) - --- ### Objetivo Geral: -Realizar uma análise exploratória para identificar como as taxas de emissão de CO₂ foram impactadas pelo desmatamento nos últimos cinco anos, com um olhar específico sobre o período da pandemia. +Este projeto tem como objetivo analisar os dados de desmatamento e emissões de CO₂ no estado da Bahia entre 2019 e 2022, a fim de entender como o desmatamento tem impactado as emissões de carbono no período da Pandemia. + +--- ### As perguntas norteadoras deste projeto são: -1. Qual foi a taxa de desmatamento nos biomas/municípios da Bahia de 2019 a 2022? -2. Qual foi a taxa de emissões de CO₂ nos municípios da Bahia nesse mesmo período? -3. Qual a relação entre desmatamento e as emissões de CO₂ na Bahia? -4. Quais regiões apresentaram as maiores emissões de CO₂ ligadas ao desmatamento? -5. Houve alguma mudança significativa durante o período da pandemia? +Como o desmatamento na Bahia impacta as taxas de emissão de CO₂? +Qual a taxa de desmatamento nos municípios e biomas da Bahia entre 2019 e 2022? +Existe uma correlação entre as áreas desmatadas e o aumento das emissões de CO₂? +Como a pandemia afetou as taxas de desmatamento e emissões de CO₂? + --- -## Ferramentas Utilizadas +### Desafios: -- **Banco de dados** -- **Python (Jupyter Notebook)**: Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc. -- **Tableau**: Para criar as visualizações finais e apresentar os insights gerados. -- **GitHub**: Para versionamento do projeto e documentação. -- **Google Colab**: Para execução de notebooks de forma colaborativa e em nuvem. +Identificar regiões com maior desmatamento e correlacionar com dados de emissões. +Avaliar se as políticas públicas e ações de preservação tiveram impacto nos índices de desmatamento durante o período estudado. +Analisar o efeito da pandemia nas taxas de desmatamento e emissões. +Direcionamentos: -### Instalações +Para abordar esses desafios, criamos uma base de dados unificada com as informações de desmatamento e emissões de CO₂. + +Utilizamos técnicas de análise de dados para identificar padrões e correlações entre as variáveis: + +Análise temporal: Avaliamos a evolução do desmatamento e das emissões ao longo dos anos, de 2019 a 2022. Os resultados mostram picos em anos específicos, e um declínio temporário durante o período da pandemia, seguido de um aumento substancial em 2021. + +Correlações regionais: Mapeamos as emissões de CO₂ e áreas desmatadas por município, identificando as regiões da Bahia mais afetadas. Descobrimos que áreas como o Oeste da Bahia, caracterizadas pelo agronegócio, registram as maiores emissões. + +Modelos preditivos: Aplicamos regressão para prever o impacto do aumento do desmatamento nas emissões de CO₂, destacando como a degradação ambiental se traduz diretamente em maiores emissões de gases de efeito estufa. + +Impacto da pandemia: Durante a pandemia, observamos uma queda temporária nas emissões devido à redução das atividades econômicas, mas o desmatamento continuou em algumas regiões, mostrando a resiliência desse problema mesmo em crises globais. + +## Ferramentas Utilizadas: + +Banco de dados Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc. Tableau: Para criar as visualizações finais e apresentar os insights gerados. GitHub: Para versionamento do projeto e documentação. Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem. Instalando o Python: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador. @@ -71,7 +87,7 @@ SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos S SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros. -Bibliotecas e módulos: +**Bibliotecas e módulos**: sqlite3 csv Pandas Seaborn Matplotlib @@ -93,6 +109,8 @@ CO2: quantidade em tonelada ```python +# 1. Importando os dados das planilhas + # Primeiro, instale a biblioteca pandas se ainda não estiver instalada !pip install pandas @@ -101,57 +119,45 @@ import pandas as pd import csv # Carregando os dois arquivos CSV -# Caso esteja rodando localmente, altere o caminho dos arquivos. -# No Colab, você pode fazer upload dos arquivos com os botões de upload e colocar somente o nome do arquivo abaixo +# Caso esteja rodando localmente, altere o caminho dos arquivos, no Colab, você pode fazer upload dos arquivos e colocar o nome do arquivo abaixo: df1 = pd.read_csv('SEEG.csv') -df2 = pd.read_csv('SEEG1.csv') -# Exibindo as primeiras linhas dos DataFrames para verificar +# Exibindo as primeiras linhas dos DataFrames para verificar print(df1.head()) -print(df2.head()) ``` ```python -# Verificar informações gerais dos DataFrames +# 2. Verificar informações gerais dos DataFrames df1.info() -df2.info() + ``` ```python -# Converter todas as colunas de anos para string, por exemplo - -df1[['2019', '2020', '2021', '2022']] = df1[['2019', '2020', '2021', '2022']].astype(float) -df2[['2019', '2020', '2021', '2022']] = df2[['2019', '2020', '2021', '2022']].astype(float) -# Remover espaços em branco no início e no fim dos valores das colunas de chave +# Selecionar as colunas específicas -df1['Categoria'] = df1['Categoria'].str.strip() -df2['Categoria'] = df2['Categoria'].str.strip() - - -# Exibindo as primeiras linhas dos DataFrames para verificar -print(df1.head()) -print(df2.head()) +df_1 = df1[['Categoria','2019', '2020', '2021', '2022']] +print(df_1) ``` ```python -# Mesclar os dois DataFrames com base na Categoria e anos -df_merged = pd.merge(df1, df2, on=['Categoria', '2019', '2020', '2021', '2022'], how='outer', suffixes=('.x', '.y')) -# Exibindo as primeiras linhas do arquivo mesclado -print(df_merged.head()) +# Altera os nomes das colunas + +df_1.columns = ['Municípios', '2019', '2020', '2021', '2022'] +print(df_1) ``` @@ -159,45 +165,40 @@ print(df_merged.head()) ```python -df_merged.info() +# Remover informações de estado (como "(BA)") de 'Municípios' -``` +df_1['Municípios'] = df_1['Municípios'].str.replace(r' ', '', regex=True) -```python +print(df_1) -# Exibe os nomes das colunas -df_merged.columns ``` ```python -# Selecionar colunas relevantes e renomeá-las +df_merged.info() -df_reduzido = df_merged[['Categoria', '2019', '2020', '2021', '2022']].copy() +``` -# Altera os nomes das colunas +```python -df_reduzido.columns = ['Municípios', '2019', '2020', '2021', '2022'] +# Converta todas as colunas de anos para inteiro -# Exibir o DataFrame reduzido -print(df_reduzido.head()) +df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int) + +print(df_1) ``` ```python -# Verifica valores nulos - -nulos = df_reduzido.isnull() -print(nulos) - # Contagem de valores nulos em cada coluna -nulos_por_coluna = df_reduzido.isnull().sum() -print(nulos_por_coluna) +nulos_por_coluna1 = df_1.isnull().sum() +print(nulos_por_coluna1) + ``` @@ -206,20 +207,20 @@ print(nulos_por_coluna) # Remove linhas duplicadas -df_sem_duplicatas = df_reduzido.drop_duplicates() -print(df_sem_duplicatas) +df_sem_duplicatas1 = df_1.drop_duplicates() +print(df_sem_duplicatas1) ``` - ```python # Transformar os dados para um formato longo (melt) -df_sem_duplicatas = pd.melt(df_sem_duplicatas, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido') +df_sem_duplicatas1 = pd.melt(df_1, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido') + +print(df_sem_duplicatas1) -print(df_sem_duplicatas) ``` @@ -227,11 +228,23 @@ print(df_sem_duplicatas) ```python -# Salvando o arquivo final mesclado em um novo CSV +# Calcular o total da coluna 'valor' +valor_total = df1['2022'].sum() +print("O valor total da coluna 'valor' é:", valor_total) + +``` -df_sem_duplicatas.to_csv('co2.csv', index=False, encoding='utf-8') -print(df_sem_duplicatas) + +```python + + +# Salvando o arquivo final em um novo CSV + +df_sem_duplicatas1.to_csv('co2.csv', index=False, encoding='utf-8') + +print(df_sem_duplicatas1) + ``` @@ -250,6 +263,7 @@ import matplotlib.pyplot as plt ```python + # importando dados df3 = pd.read_csv('mapbiomas_ba.csv') @@ -271,7 +285,7 @@ df3.info() ```python -# Converta todas as colunas de anos para int, por exemplo +# Converta todas as colunas de anos para int df3[['ANODETEC']] = df3[['ANODETEC']].astype(int) @@ -284,7 +298,7 @@ df3.info() # Remover múltiplas colunas de uma vez, temos que deixar municipio, area ha (pra calcular o desmatamento, data tec e ano) -colunas_para_remover = ['CODEALERTA', 'FONTE', 'ESTADO', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'VPRESSAO'] +colunas_para_remover = ['CODEALERTA', 'FONTE', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'DATADETEC'] df3_limpo = df3.drop(columns=colunas_para_remover) @@ -314,15 +328,25 @@ print(df3_limpo.isnull().sum()) # Agrupamentos -# Agrupando os dados por município e ano para obter a área desmatada total +df3_MUN = df3_limpo.groupby('MUNICIPIO')['AREAHA'].sum().reset_index() -df3_final = df3_limpo.groupby(['MUNICIPIO', 'ANODETEC'])['AREAHA'].sum().reset_index() +# Mostrar o resultado +print(df3_MUN.head()) +df3_ANO = df3_limpo.groupby('ANODETEC')['AREAHA'].sum().reset_index() -# Salvando o resultado em CSV -df3_final.to_csv('desmatamento.csv', index=False) +# Mostrar o resultado +print(df3_ANO.head()) -print(df3_final.head()) +``` + +```python + +# Salvando o arquivo final em um novo CSV + +df3_limpo.to_csv('desmatamento.csv', index=False, encoding='utf-8') + +print(df3_limpo) ``` @@ -332,28 +356,119 @@ print(df3_final.head()) ``` python -# Limpar e padronizar os nomes de municípios e anos +# importando dados + +df_desmatamento = pd.read_csv('desmatamento.csv') + +df_co2 = pd.read_csv('co2.csv') + +# Exibindo as primeiras linhas dos DataFrames para verificar + +print(df_desmatamento.head()) + +print(df_co2.head()) + +``` + + +```python + +# Limpar e padronizar os nomes de municípios + df_desmatamento['MUNICIPIO'] = df_desmatamento['MUNICIPIO'].str.strip().str.lower() df_co2['Municípios'] = df_co2['Municípios'].str.strip().str.lower() -# Remover informações de estado (como "(BA)") de 'Municípios' -df_co2['Municípios'] = df_co2['Municípios'].str.replace(r' \(.*\)', '', regex=True) +# Exibindo as primeiras linhas dos DataFrames para verificar + +print(df_desmatamento.head()) + +print(df_co2.head()) + + +``` + + + +```python + + +# Remove linhas duplicadas -# Converter as colunas de ano para o mesmo tipo -df_desmatamento['ANODETEC'] = df_desmatamento['ANODETEC'].astype(int) -df_co2['Ano'] = df_co2['Ano'].astype(int) +df_desmatamentos = df_desmatamento.drop_duplicates() +print(df_desmatamentos) + + +df_co2s = df_co2.drop_duplicates() +print(df_co2s) + +``` + + + +```python # Realizar a junção das tabelas com base nos municípios e anos -df_integrado = pd.merge(df_desmatamento, df_co2, left_on=['MUNICIPIO', 'ANODETEC'], right_on=['Municípios', 'Ano'], how='inner') +df_integrado = pd.merge(df_desmatamentos, df_co2s, left_on=['MUNICIPIO', 'ANODETEC'], right_on=['Municípios', 'Ano'], how='inner') + +# Exibir as primeiras linhas da tabela integrada +df_integrado.head() + +``` + + + +```python + + +# Verificar se os valores de 'MUNICIPIO' e 'Municípios' são iguais +df_integrado['MUNICIPIO_igual'] = df_integrado['MUNICIPIO'] == df_integrado['Municípios'] + +# Verificar se os valores de 'ANODETEC' e 'Ano' são iguais +df_integrado['ANODETEC_igual'] = df_integrado['ANODETEC'] == df_integrado['Ano'] + +# Verificar se há algum False na coluna 'MUNICIPIO_igual' +tem_falso_municipio = df_integrado['MUNICIPIO_igual'].any() == False + +# Verificar se há algum False na coluna 'ANODETEC_igual' +tem_falso_ano = df_integrado['ANODETEC_igual'].any() == False + +print(f"Tem algum 'False' na comparação de Município? {tem_falso_municipio}") +print(f"Tem algum 'False' na comparação de Ano? {tem_falso_ano}") + +``` + + + +```python + + +#Unificando colunas iguais: +df_integrado['MUNICIPIO'] = df_integrado['MUNICIPIO'] + +df_integrado['ANO'] = df_integrado['Ano'] + + +# Agora podemos excluir as colunas antigas + +df_integrado = df_integrado.drop(columns=['Municípios', 'MUNICIPIO_igual']) +df_integrado = df_integrado.drop(columns=['ANODETEC', 'Ano', 'ANODETEC_igual']) # Exibir as primeiras linhas da tabela integrada df_integrado.head() +``` + + + +```python + # Salvando o arquivo final em CSV df_integrado.to_csv('dados_integrados.csv', index=False, encoding='utf-8') ``` + + ## 4. Visualização ```python @@ -369,37 +484,53 @@ df_integrado = pd.read_csv('dados_integrados.csv') # Exibir as primeiras linhas do DataFrame para verificar se os dados foram carregados corretamente print(df_integrado.head()) + +``` + + + +```python + + # Definir o estilo para os gráficos sns.set(style="whitegrid") +``` + + + + + +```python + + # 1. Gráfico de barras: Desmatamento total por ano plt.figure(figsize=(10,6)) -sns.barplot(x='ANODETEC', y='AREAHA', data=df_integrado, estimator=sum, ci=None, color='teal') +sns.barplot(x='ANO', y='AREAHA', data=df_integrado, estimator=sum, ci=None, color='teal') plt.title('Total de Área Desmatada por Ano (Bahia)', fontsize=14) plt.xlabel('Ano', fontsize=12) plt.ylabel('Área Desmatada (ha)', fontsize=12) plt.xticks(rotation=45) plt.show() -# 2. Gráfico de linha: Emissões de CO₂ por ano +# 2. Gráfico de barras: Emissões de CO₂ por ano plt.figure(figsize=(10,6)) -sns.lineplot(x='Ano', y='CO2_emitido', data=df_integrado, marker='o', color='orange') +sns.barplot(x='ANO', y='CO2_emitido', data=df_integrado, estimator=sum, ci=None, color='orange') plt.title('Emissões de CO₂ por Ano (Bahia)', fontsize=14) plt.xlabel('Ano', fontsize=12) plt.ylabel('Emissões de CO₂ (ton)', fontsize=12) plt.xticks(rotation=45) plt.show() -# 3. Gráfico de dispersão: Relação entre área desmatada e CO₂ emitido -plt.figure(figsize=(10,6)) -sns.scatterplot(x='AREAHA', y='CO2_emitido', data=df_integrado, hue='Ano', palette='coolwarm', s=100) -plt.title('Relação entre Área Desmatada e CO₂ Emitido', fontsize=14) -plt.xlabel('Área Desmatada (ha)', fontsize=12) -plt.ylabel('CO₂ Emitido (ton)', fontsize=12) -plt.legend(title='Ano') -plt.show() +``` + + + -# 4. Gráfico de barras empilhadas: Desmatamento e CO₂ emitido nos 10 municípios com mais desmatamento +```python + + +# Gráfico de barras empilhadas: Desmatamento e CO₂ emitido nos 10 municípios com mais desmatamento plt.figure(figsize=(12,7)) # Selecionar os 10 municípios com maiores áreas desmatadas @@ -409,7 +540,7 @@ municipios_mais_desmatados = df_integrado.groupby('MUNICIPIO')['AREAHA'].sum().n df_municipios_desmatados = df_integrado[df_integrado['MUNICIPIO'].isin(municipios_mais_desmatados)] # Criar gráfico de barras empilhadas com área desmatada e CO₂ emitido -sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, hue='ANODETEC', ci=None, palette='viridis') +sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, hue='ANO', ci=None, palette='viridis') plt.title('Emissões de CO₂ nos 10 Municípios com Mais Desmatamento por Ano', fontsize=14) plt.xlabel('Município', fontsize=12) plt.ylabel('Emissões de CO₂ (ton)', fontsize=12) @@ -417,14 +548,134 @@ plt.xticks(rotation=45) plt.legend(title='Ano') plt.show() -# 5. Gráfico de calor: Correlação entre desmatamento e CO₂ emitido +``` + + + +```python + +# Gráfico de barras para Emissões de CO2 por Município + +# Ordenar os municípios por CO2_emitido +df_sorted = df.sort_values(by='CO2_emitido', ascending=False) + +# Criar gráfico de barras para CO2 emitido por município +plt.figure(figsize=(12,8)) +sns.barplot(x='CO2_emitido', y='MUNICIPIO', data=df_sorted, palette='Reds') + +plt.title('Emissões de CO2 por Município (Cerrado, Bahia)', fontsize=16) +plt.xlabel('Emissões de CO2 (toneladas)', fontsize=12) +plt.ylabel('Município', fontsize=12) +plt.tight_layout() +plt.show() + + +# Gráfico de barras para Área Desmatada por Município + +# Ordenar os municípios por área desmatada +df_sorted_area = df.sort_values(by='AREAHA', ascending=False) + +# Criar gráfico de barras para área desmatada por município +plt.figure(figsize=(12,8)) +sns.barplot(x='AREAHA', y='MUNICIPIO', data=df_sorted_area, palette='Greens') + +plt.title('Área Desmatada por Município (Cerrado, Bahia)', fontsize=16) +plt.xlabel('Área Desmatada (hectares)', fontsize=12) +plt.ylabel('Município', fontsize=12) +plt.tight_layout() +plt.show() + + + +``` + + + +```python + +import matplotlib.pyplot as plt +import seaborn as sns +import numpy as np + +# Criar gráfico de dispersão +plt.figure(figsize=(12, 8)) +sns.scatterplot(data=df, x='AREAHA', y='CO2_emitido', color='blue', alpha=0.6) + +# Calcular a linha de tendência +x = df['AREAHA'] +y = df['CO2_emitido'] +m, b = np.polyfit(x, y, 1) # Ajustar uma linha de tendência (y = mx + b) +plt.plot(x, m*x + b, color='red', linewidth=2, label='Linha de Tendência') + +# Adicionar títulos e rótulos +plt.title('Relação entre Área Desmatada e Emissões de CO2', fontsize=16) +plt.xlabel('Área Desmatada (hectares)', fontsize=12) +plt.ylabel('Emissões de CO2 (toneladas)', fontsize=12) +plt.legend() +plt.tight_layout() +plt.show() + +``` + + + +```python + +# Calcular a correlação +correlacao = df['AREAHA'].corr(df['CO2_emitido']) +print(f'A correlação entre a área desmatada e CO2 emitido é: {correlacao}') + +# Interpretar a correlação +if correlacao > 0: + print("Correlação positiva: À medida que a área desmatada aumenta, as emissões de CO2 também tendem a aumentar.") +elif correlacao < 0: + print("Correlação negativa: À medida que a área desmatada aumenta, as emissões de CO2 tendem a diminuir.") +else: + print("Sem correlação: Não há relação clara entre as duas variáveis.") + + +``` + + + + + +```python + +# Gráfico de calor: Correlação entre desmatamento e CO₂ emitido plt.figure(figsize=(8,6)) correlation_matrix = df_integrado[['AREAHA', 'CO2_emitido']].corr() sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', linewidths=0.5) plt.title('Correlação entre Desmatamento e CO₂ Emitido', fontsize=14) plt.show() -# 6. Gráficos separados: Desmatamento e CO₂ por município para os 10 municípios mais desmatados +``` + + + + +```python + +# Gráfico de dispersão: Relação entre área desmatada e CO₂ emitido +plt.figure(figsize=(10,6)) +sns.scatterplot(x='AREAHA', y='CO2_emitido', data=df_integrado, hue='ANO', palette='coolwarm', s=100) +plt.title('Relação entre Área Desmatada e CO₂ Emitido', fontsize=14) +plt.xlabel('Área Desmatada (ha)', fontsize=12) +plt.ylabel('CO₂ Emitido (ton)', fontsize=12) +plt.legend(title='Ano') +plt.show() + + + +``` + + + + +```python + + +# Gráficos separados: Desmatamento e CO₂ por município para os 10 municípios mais desmatados fig, axs = plt.subplots(2, 1, figsize=(12, 10)) # Gráfico de barras para desmatamento nos 10 municípios mais desmatados @@ -446,24 +697,78 @@ plt.show() ``` + + +```python + + + +``` + + + + + + ## 5. Banco de dados +```python + +import sqlite3 +import pandas as pd +from sqlalchemy import create_engine +#from google.colab import files + +# Passo 1: Fazer upload do arquivo CSV +# uploaded = files.upload() + +# Passo 2: Ler o CSV em um DataFrame +df = pd.read_csv('dados_integrados.csv') + +# Passo 3: Criar o engine para o SQLite +engine = create_engine('sqlite:///banco.db') #abre e fecha conexões + +# Passo 4: Inserir o DataFrame no banco de dados SQLite +df.to_sql('desmatamento_co2', con=engine, if_exists='replace', index=False) + +print("Dados inseridos com sucesso no SQLite!") + +# Passo 5: Consultar o banco de dados +conn = sqlite3.connect('banco.db') +cursor = conn.cursor() + +# Fazer uma consulta +cursor.execute("SELECT * FROM desmatamento_co2 LIMIT 5") +rows = cursor.fetchall() + +# Mostrar os resultados +for row in rows: + print(row) + +# Fechar a conexão +conn.close() + + +``` + + ## 6. Considerações -Correlações: -Área Desmatada (AREAHHA): 1 (correlação perfeita consigo mesma). -CO₂ Emitido (CO₂_emitido): 1 (correlação perfeita consigo mesma). -Correlação entre Área Desmatada e CO₂ Emitido: 0.19. +A análise inicial dos dados revelou que, apesar dos esforços de preservação, o desmatamento em várias regiões da Bahia aumentou significativamente nos últimos anos. Isso ocorre especialmente em áreas de biomas sensíveis, como a Caatinga e o Cerrado, que são biomas predominantes no estado. + +Esse aumento no desmatamento está intimamente relacionado ao aumento das emissões de CO₂, um dos principais gases responsáveis pelo efeito estufa. O impacto negativo do desmatamento é agravado pelo fato de que essas áreas desmatadas são substituídas por atividades que emitem ainda mais CO₂, como a agropecuária. + +Entretanto, as taxas de desmatamento e emissões de CO₂ apresentaram flutuações durante a pandemia de COVID-19, o que levanta questões sobre o papel de eventos globais e econômicos na redução temporária das atividades humanas e como isso afetou o meio ambiente local. + +Os resultados da análise reforçam a correlação direta entre desmatamento e emissões de CO₂ no estado da Bahia. -A correlação 1 indica uma correlação positiva perfeita (quando uma variável aumenta, a outra também aumenta). -A correlação -1 indica uma correlação negativa perfeita (quando uma variável aumenta, a outra diminui). -0 indica nenhuma correlação. -0.19 é uma correlação fraca e positiva: +Regiões com maiores áreas desmatadas apresentaram emissões de carbono proporcionalmente mais elevadas, principalmente em áreas destinadas à agropecuária. -Significa que, em geral, há uma leve tendência de que, à medida que a área desmatada aumenta, as emissões de CO₂ também aumentam. No entanto, a correlação é fraca, o que significa que essa relação não é forte ou confiável. Ou seja há uma correlação positiva fraca entre desmatamento e CO₂ emitido, mas ela não é forte o suficiente para concluir que um aumento no desmatamento leva a um aumento significativo nas emissões de CO₂. Uma correlação fraca indica que outros fatores podem estar influenciando as emissões de CO₂ (ou consumo de CO2), e mais análises seriam necessárias para entender essa dinâmica. +A pandemia trouxe uma breve redução nas emissões, mas o desmatamento continuou a crescer, destacando a necessidade de políticas públicas mais robustas e eficientes para combater essa tendência. +A expansão agrícola é um dos principais motores do desmatamento e das emissões de CO₂ na Bahia. -Conclusão +Apesar da breve redução de emissões durante a pandemia, o desmatamento persistiu, o que sugere que fatores locais (como a pressão econômica) têm um papel crucial no aumento da degradação ambiental. -Como há uma relação fraca, não podemos afirmar que existe uma correlação forte ou direta entre desmatamento e CO₂ emitido com base nos dados apresentados no éríodo analisado. Isso significa que, enquanto algumas áreas desmatadas podem contribuir para emissões de CO₂, a relação não é consistente o suficiente para prever as emissões apenas com base na área desmatada. +Medidas de mitigação mais efetivas, incluindo a fiscalização e preservação de áreas naturais, são fundamentais para controlar as emissões de carbono derivadas do desmatamento. From 39336cc3b2f1d2f42abc88e61e4bc4d99d42b750 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Fri, 11 Oct 2024 18:52:57 -0300 Subject: [PATCH 70/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 32 ++++++++++++++----------------- 1 file changed, 14 insertions(+), 18 deletions(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 5717c5c..1cf0e26 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -73,6 +73,8 @@ Modelos preditivos: Aplicamos regressão para prever o impacto do aumento do des Impacto da pandemia: Durante a pandemia, observamos uma queda temporária nas emissões devido à redução das atividades econômicas, mas o desmatamento continuou em algumas regiões, mostrando a resiliência desse problema mesmo em crises globais. +--- + ## Ferramentas Utilizadas: Banco de dados Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc. Tableau: Para criar as visualizações finais e apresentar os insights gerados. GitHub: Para versionamento do projeto e documentação. Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem. @@ -87,6 +89,8 @@ SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos S SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros. +--- + **Bibliotecas e módulos**: sqlite3 csv Pandas Seaborn Matplotlib @@ -248,9 +252,9 @@ print(df_sem_duplicatas1) ``` +--- - -## 2. DADOS DESMATAMENTO - MAPBIOMAS +### 2. DADOS DESMATAMENTO - MAPBIOMAS ```python @@ -350,8 +354,9 @@ print(df3_limpo) ``` +--- -## 3. Integração dos Dados de CO₂ e Desmatamento por Município +### 3. Integração dos Dados de CO₂ e Desmatamento por Município ``` python @@ -467,9 +472,9 @@ df_integrado.to_csv('dados_integrados.csv', index=False, encoding='utf-8') ``` +--- - -## 4. Visualização +## Visualização ```python @@ -697,20 +702,10 @@ plt.show() ``` +--- -```python - - - -``` - - - - - - -## 5. Banco de dados +## Banco de dados ```python @@ -752,8 +747,9 @@ conn.close() ``` +--- -## 6. Considerações +## Considerações A análise inicial dos dados revelou que, apesar dos esforços de preservação, o desmatamento em várias regiões da Bahia aumentou significativamente nos últimos anos. Isso ocorre especialmente em áreas de biomas sensíveis, como a Caatinga e o Cerrado, que são biomas predominantes no estado. From e29f91a46568bde59ce2e934f30cb5a3c76d4f18 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 12 Oct 2024 13:50:59 -0300 Subject: [PATCH 71/90] Update projeto_final_paloma.md --- material /projeto_final_paloma.md | 41 ++++++------------------------- 1 file changed, 8 insertions(+), 33 deletions(-) diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md index 1cf0e26..f8f33a9 100644 --- a/material /projeto_final_paloma.md +++ b/material /projeto_final_paloma.md @@ -47,32 +47,18 @@ Este projeto tem como objetivo analisar os dados de desmatamento e emissões de ### As perguntas norteadoras deste projeto são: -Como o desmatamento na Bahia impacta as taxas de emissão de CO₂? -Qual a taxa de desmatamento nos municípios e biomas da Bahia entre 2019 e 2022? -Existe uma correlação entre as áreas desmatadas e o aumento das emissões de CO₂? -Como a pandemia afetou as taxas de desmatamento e emissões de CO₂? +1. Como o desmatamento na Bahia impacta as taxas de emissão de CO₂? +2. Qual a taxa de desmatamento nos municípios e biomas da Bahia entre 2019 e 2022? +3. Existe uma correlação entre as áreas desmatadas e o aumento das emissões de CO₂? +4. Como a pandemia afetou as taxas de desmatamento e emissões de CO₂? ---- - -### Desafios: - -Identificar regiões com maior desmatamento e correlacionar com dados de emissões. -Avaliar se as políticas públicas e ações de preservação tiveram impacto nos índices de desmatamento durante o período estudado. -Analisar o efeito da pandemia nas taxas de desmatamento e emissões. -Direcionamentos: - -Para abordar esses desafios, criamos uma base de dados unificada com as informações de desmatamento e emissões de CO₂. Utilizamos técnicas de análise de dados para identificar padrões e correlações entre as variáveis: -Análise temporal: Avaliamos a evolução do desmatamento e das emissões ao longo dos anos, de 2019 a 2022. Os resultados mostram picos em anos específicos, e um declínio temporário durante o período da pandemia, seguido de um aumento substancial em 2021. +Análise temporal: Avaliamos a evolução do desmatamento e das emissões ao longo dos anos de 2019 a 2022. Correlações regionais: Mapeamos as emissões de CO₂ e áreas desmatadas por município, identificando as regiões da Bahia mais afetadas. Descobrimos que áreas como o Oeste da Bahia, caracterizadas pelo agronegócio, registram as maiores emissões. -Modelos preditivos: Aplicamos regressão para prever o impacto do aumento do desmatamento nas emissões de CO₂, destacando como a degradação ambiental se traduz diretamente em maiores emissões de gases de efeito estufa. - -Impacto da pandemia: Durante a pandemia, observamos uma queda temporária nas emissões devido à redução das atividades econômicas, mas o desmatamento continuou em algumas regiões, mostrando a resiliência desse problema mesmo em crises globais. - --- ## Ferramentas Utilizadas: @@ -751,20 +737,9 @@ conn.close() ## Considerações -A análise inicial dos dados revelou que, apesar dos esforços de preservação, o desmatamento em várias regiões da Bahia aumentou significativamente nos últimos anos. Isso ocorre especialmente em áreas de biomas sensíveis, como a Caatinga e o Cerrado, que são biomas predominantes no estado. - -Esse aumento no desmatamento está intimamente relacionado ao aumento das emissões de CO₂, um dos principais gases responsáveis pelo efeito estufa. O impacto negativo do desmatamento é agravado pelo fato de que essas áreas desmatadas são substituídas por atividades que emitem ainda mais CO₂, como a agropecuária. - -Entretanto, as taxas de desmatamento e emissões de CO₂ apresentaram flutuações durante a pandemia de COVID-19, o que levanta questões sobre o papel de eventos globais e econômicos na redução temporária das atividades humanas e como isso afetou o meio ambiente local. - -Os resultados da análise reforçam a correlação direta entre desmatamento e emissões de CO₂ no estado da Bahia. - -Regiões com maiores áreas desmatadas apresentaram emissões de carbono proporcionalmente mais elevadas, principalmente em áreas destinadas à agropecuária. - -A pandemia trouxe uma breve redução nas emissões, mas o desmatamento continuou a crescer, destacando a necessidade de políticas públicas mais robustas e eficientes para combater essa tendência. +A análise inicial dos dados revelou que, apesar dos esforços de preservação, o desmatamento em várias regiões da Bahia aumentou significativamente nos últimos anos. -A expansão agrícola é um dos principais motores do desmatamento e das emissões de CO₂ na Bahia. +Isso ocorre especialmente em áreas de biomas sensíveis, como a Caatinga e o Cerrado, que são biomas predominantes no estado. -Apesar da breve redução de emissões durante a pandemia, o desmatamento persistiu, o que sugere que fatores locais (como a pressão econômica) têm um papel crucial no aumento da degradação ambiental. +O impacto negativo do desmatamento é agravado pelo fato de que essas áreas desmatadas são substituídas por atividades que emitem ainda mais CO₂, como a agropecuária. -Medidas de mitigação mais efetivas, incluindo a fiscalização e preservação de áreas naturais, são fundamentais para controlar as emissões de carbono derivadas do desmatamento. From 20e5feb63b9084e58d6d8a33b7d954a404d17e6d Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sat, 12 Oct 2024 13:51:16 -0300 Subject: [PATCH 72/90] Delete dados/projeto_final_paloma_anne.ipynb --- dados/projeto_final_paloma_anne.ipynb | 2732 ------------------------- 1 file changed, 2732 deletions(-) delete mode 100644 dados/projeto_final_paloma_anne.ipynb diff --git a/dados/projeto_final_paloma_anne.ipynb b/dados/projeto_final_paloma_anne.ipynb deleted file mode 100644 index e92e0c5..0000000 --- a/dados/projeto_final_paloma_anne.ipynb +++ /dev/null @@ -1,2732 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "provenance": [], - "include_colab_link": true - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "view-in-github", - "colab_type": "text" - }, - "source": [ - "\"Open" - ] - }, - { - "cell_type": "markdown", - "source": [ - "**Projeto Final de Análise de Dados**\n", - "\n", - "Desenvolvido por:\n", - "\n", - "Paloma Avena palomaavena@gmail.com\n", - "\n", - "Anne Ribeiro anne.asribeiro@gmail.com\n", - "\n" - ], - "metadata": { - "id": "4nPdko9j_PEt" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Contexto**\n", - "\n", - "Nos últimos anos, a questão do desmatamento e suas consequências ambientais têm se tornado uma preocupação crescente. A Bahia, por ser um estado de grande diversidade biológica, possui áreas significativas de florestas e biomas que desempenham um papel vital na regulação climática. O desmatamento pode impactar diretamente as emissões de dióxido de carbono (CO₂), contribuindo para o aquecimento global e alterações climáticas." - ], - "metadata": { - "id": "WIMvI1tp_XVU" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Etapas do projeto:**\n", - "\n", - "\n", - "1. Selecionar a Base de Dados\n", - "2. Definir Objetivo e Perguntas\n", - "3. Realizar Análise Exploratória\n", - "4. Gerar Base Final\n", - "5. Criar Visualizações no Tableau\n", - "6. Preparar Apresentação Final\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], - "metadata": { - "id": "uk5GxJpZ_ouB" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Bases de dados **\n", - "\n", - "Base 1: MapBiomas Alertas\n", - "https://plataforma.alerta.mapbiomas.org/downloads\n", - "\n", - "Dados de áreas(ha) desmatada por Municipío, Fator de pressão e Biomas no estado da Bahia.\n", - "\n", - "Base 2: Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)\n", - "https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA..\n", - "\n", - "\n", - "Dados de CO2 em toneladas por Municípios e Biomas de Mudanças e usos do solo e floresta." - ], - "metadata": { - "id": "vqYQ20MD_orK" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Objetivo Geral:**\n", - "\n", - "Este projeto tem como objetivo analisar os dados de desmatamento e emissões de CO₂ no estado da Bahia entre 2019 e 2022, a fim de entender como o desmatamento tem impactado as emissões de carbono no período da Pandemia.\n" - ], - "metadata": { - "id": "ZypjoEDB_ooh" - } - }, - { - "cell_type": "markdown", - "source": [ - "**As perguntas norteadoras deste projeto são:**\n", - "\n", - "1. Como o desmatamento na Bahia impacta as taxas de emissão de CO₂?\n", - "2. Qual a taxa de desmatamento nos municípios e biomas da Bahia entre 2019 e 2022?\n", - "3. Existe uma correlação entre as áreas desmatadas e o aumento das emissões de CO₂?\n", - "4. Como a pandemia afetou as taxas de desmatamento e emissões de CO₂?\n" - ], - "metadata": { - "id": "mrO_v4O1_olp" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Desafios:**\n", - "\n", - "1. Identificar regiões com maior desmatamento e correlacionar com dados de emissões.\n", - "2. Avaliar se as políticas públicas e ações de preservação tiveram impacto nos índices de desmatamento durante o período estudado.\n", - "3. Analisar o efeito da pandemia nas taxas de desmatamento e emissões.\n", - "\n", - "**Direcionamentos:**\n", - "\n", - "Para abordar esses desafios, criamos uma base de dados unificada com as informações de desmatamento e emissões de CO₂.\n", - "\n", - "Utilizamos técnicas de análise de dados para identificar padrões e correlações entre as variáveis:\n", - "\n", - "1. Análise temporal: Avaliamos a evolução do desmatamento e das emissões ao longo dos anos, de 2019 a 2022. Os resultados mostram picos em anos específicos, e um declínio temporário durante o período da pandemia, seguido de um aumento substancial em 2021.\n", - "\n", - "2. Correlações regionais: Mapeamos as emissões de CO₂ e áreas desmatadas por município, identificando as regiões da Bahia mais afetadas. Descobrimos que áreas como o Oeste da Bahia, caracterizadas pelo agronegócio, registram as maiores emissões.\n", - "\n", - "3. Modelos preditivos: Aplicamos regressão para prever o impacto do aumento do desmatamento nas emissões de CO₂, destacando como a degradação ambiental se traduz diretamente em maiores emissões de gases de efeito estufa.\n", - "\n", - "4. Impacto da pandemia: Durante a pandemia, observamos uma queda temporária nas emissões devido à redução das atividades econômicas, mas o desmatamento continuou em algumas regiões, mostrando a resiliência desse problema mesmo em crises globais." - ], - "metadata": { - "id": "RNIrgkoWZRWr" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Ferramentas Utilizadas:**\n", - "\n", - "Banco de dados\n", - "Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc.\n", - "Tableau: Para criar as visualizações finais e apresentar os insights gerados.\n", - "GitHub: Para versionamento do projeto e documentação.\n", - "Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem.\n", - "\n" - ], - "metadata": { - "id": "VV5GKSMc_oia" - } - }, - { - "cell_type": "markdown", - "source": [ - "Instalando o **Python**: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador.\n", - "\n", - "Instalando o **Visual Studio Code (VS Code)**: Acesse o site (https://code.visualstudio.com/).\n", - "\n", - "**Extensões** que irão tornar o processo de desenvolvimento mais simples e intuitivo:\n", - "\n", - "SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos SQLite (.db), executar consultas SQL, visualizar dados e até mesmo criar tabelas e colunas diretamente no VS Code.\n", - "\n", - "SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros.\n", - "\n", - "\n", - "**Bibliotecas e módulos:**\n", - "\n", - "sqlite3\n", - "csv\n", - "Pandas\n", - "Seaborn\n", - "Matplotlib\n" - ], - "metadata": { - "id": "n33nNlCqgZFC" - } - }, - { - "cell_type": "markdown", - "source": [ - "\n", - "**Análise exploratória de dados**\n", - "\n" - ], - "metadata": { - "id": "miL-Xxpd_niS" - } - }, - { - "cell_type": "markdown", - "source": [ - "**1. DADOS DE CO2 - SEEG**\n", - "\n", - "\n", - "Vamos utilizar a coluna 'categoria'= municipio e total de co2 emitido em tonelada por vetor de emissão, no caso 'Mudança de Uso da Terra e Floresta' dos anos de 2019 a 2022.\n" - ], - "metadata": { - "id": "c48LiFSG_Fft" - } - }, - { - "cell_type": "markdown", - "source": [ - "Coleta de dados CO2 Bahia, SEEG:\n", - "\n", - "\n", - "link: https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-bahia&_gl=1*gambxz*_ga*MTk5NTgxNjM5MS4xNzI1NjQzNTE1*_ga_XZWSWEJDWQ*MTcyNTY0MzUxNS4xLjAuMTcyNTY0MzUxNS4wLjAuMA..blob:https://plataforma.seeg.eco.br/845fd445-2d02-43a9-bb87-14435bfb6c1b\n", - "\n", - "\n" - ], - "metadata": { - "id": "vo84te4Y7n-P" - } - }, - { - "cell_type": "markdown", - "source": [ - "1. Importando os dados das planilhas" - ], - "metadata": { - "id": "rfcw5b-JebFU" - } - }, - { - "cell_type": "code", - "source": [ - "# 1. Importando os dados das planilhas\n", - "\n", - "# Primeiro, instale a biblioteca pandas se ainda não estiver instalada\n", - "!pip install pandas\n", - "\n", - "# Importando os dados\n", - "import pandas as pd\n", - "import csv\n", - "\n", - "# Carregando os dois arquivos CSV\n", - "# Caso esteja rodando localmente, altere o caminho dos arquivos, no Colab, você pode fazer upload dos arquivos e colocar o nome do arquivo abaixo:\n", - "\n", - "df1 = pd.read_csv('SEEG.csv')\n", - "\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "print(df1.head())\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "dxaI-_ekeF9W", - "outputId": "a025f4a5-55b8-4755-932a-7efe98edae62" - }, - "execution_count": 34, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.2.2)\n", - "Requirement already satisfied: numpy>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from pandas) (1.26.4)\n", - "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas) (2.8.2)\n", - "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", - "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", - "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n", - " Categoria 1990 1991 1992 \\\n", - "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", - "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", - "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", - "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", - "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", - "\n", - " 1993 1994 1995 1996 1997 \\\n", - "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", - "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", - "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", - "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", - "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", - "\n", - " 1998 ... 2013 2014 2015 2016 \\\n", - "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", - "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", - "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", - "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", - "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", - "\n", - " 2017 2018 2019 2020 2021 \\\n", - "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", - "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", - "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", - "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", - "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", - "\n", - " 2022 \n", - "0 2729422 \n", - "1 2432263 \n", - "2 1734316 \n", - "3 1473135 \n", - "4 996163 \n", - "\n", - "[5 rows x 34 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "# 2.\n", - "df1.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "248fsSuvOBAa", - "outputId": "a0b28c07-7ef6-4f4e-d3b6-4f04c3eb63fd" - }, - "execution_count": 35, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 31 entries, 0 to 30\n", - "Data columns (total 34 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Categoria 31 non-null object \n", - " 1 1990 31 non-null float64\n", - " 2 1991 31 non-null float64\n", - " 3 1992 31 non-null float64\n", - " 4 1993 31 non-null float64\n", - " 5 1994 31 non-null float64\n", - " 6 1995 31 non-null float64\n", - " 7 1996 31 non-null float64\n", - " 8 1997 31 non-null float64\n", - " 9 1998 31 non-null float64\n", - " 10 1999 31 non-null float64\n", - " 11 2000 31 non-null float64\n", - " 12 2001 31 non-null float64\n", - " 13 2002 31 non-null float64\n", - " 14 2003 31 non-null float64\n", - " 15 2004 31 non-null float64\n", - " 16 2005 31 non-null float64\n", - " 17 2006 31 non-null float64\n", - " 18 2007 31 non-null float64\n", - " 19 2008 31 non-null float64\n", - " 20 2009 31 non-null float64\n", - " 21 2010 31 non-null float64\n", - " 22 2011 31 non-null float64\n", - " 23 2012 31 non-null float64\n", - " 24 2013 31 non-null float64\n", - " 25 2014 31 non-null float64\n", - " 26 2015 31 non-null float64\n", - " 27 2016 31 non-null float64\n", - " 28 2017 31 non-null float64\n", - " 29 2018 31 non-null float64\n", - " 30 2019 31 non-null float64\n", - " 31 2020 31 non-null float64\n", - " 32 2021 31 non-null float64\n", - " 33 2022 31 non-null int64 \n", - "dtypes: float64(32), int64(1), object(1)\n", - "memory usage: 8.4+ KB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Selecionar as colunas específicas\n", - "\n", - "df_1 = df1[['Categoria','2019', '2020', '2021', '2022']]\n", - "print(df_1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "7cGDNRgEd0wi", - "outputId": "73767348-cfdd-48ce-d5fd-9a51d6552542" - }, - "execution_count": 58, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria 2019 2020 2021 \\\n", - "0 São Desidério (BA) 2.024108e+06 3.091203e+06 3.159580e+06 \n", - "1 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 2.299738e+06 \n", - "2 Jaborandi (BA) 1.706968e+06 1.744004e+06 2.051921e+06 \n", - "3 Correntina (BA) 1.545573e+06 1.060526e+06 1.585476e+06 \n", - "4 Barreiras (BA) 1.568927e+06 1.179766e+06 9.583063e+05 \n", - "5 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 7.619633e+05 \n", - "6 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 9.987006e+05 \n", - "7 Jequié (BA) 2.491692e+05 1.862657e+05 1.639264e+05 \n", - "8 Encruzilhada (BA) 4.038959e+05 4.516205e+05 5.873154e+05 \n", - "9 Baianópolis (BA) 6.074368e+05 7.908150e+05 1.700892e+06 \n", - "10 Valença (BA) 2.476738e+05 4.276377e+05 1.953325e+05 \n", - "11 Cocos (BA) 9.593941e+05 1.218387e+06 1.229645e+06 \n", - "12 Belmonte (BA) 3.904032e+05 3.505588e+05 3.314850e+05 \n", - "13 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 6.542620e+05 \n", - "14 Barra (BA) 2.260111e+05 1.397781e+05 7.905882e+04 \n", - "15 Cotegipe (BA) 3.311638e+05 5.599601e+05 2.925473e+05 \n", - "16 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 7.243660e+04 \n", - "17 Itagibá (BA) 1.216756e+05 7.210208e+04 1.114533e+05 \n", - "18 Itapetinga (BA) 5.707418e+04 4.613513e+04 2.072777e+04 \n", - "19 Iguaí (BA) 8.222719e+04 1.274713e+05 1.559627e+05 \n", - "20 Maraú (BA) 8.020749e+04 1.701269e+05 1.032113e+05 \n", - "21 Ibicuí (BA) 1.696392e+04 3.524000e+04 2.780070e+04 \n", - "22 Guaratinga (BA) 2.117080e+05 2.516566e+05 1.717426e+05 \n", - "23 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 5.956842e+04 \n", - "24 Camamu (BA) 2.214714e+05 4.347414e+05 1.635482e+05 \n", - "25 Itambé (BA) 1.001077e+05 1.444300e+05 6.526349e+04 \n", - "26 Dário Meira (BA) 9.440196e+04 9.250477e+04 1.017979e+05 \n", - "27 Igrapiúna (BA) 2.576941e+05 3.782366e+05 1.486217e+05 \n", - "28 Ilhéus (BA) 1.588721e+05 1.912059e+05 1.317151e+05 \n", - "29 Itarantim (BA) 3.847215e+04 6.031930e+04 1.040533e+04 \n", - "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 \n", - "\n", - " 2022 \n", - "0 2729422 \n", - "1 2432263 \n", - "2 1734316 \n", - "3 1473135 \n", - "4 996163 \n", - "5 670183 \n", - "6 569631 \n", - "7 498001 \n", - "8 414662 \n", - "9 413632 \n", - "10 378871 \n", - "11 367625 \n", - "12 354868 \n", - "13 343098 \n", - "14 312169 \n", - "15 297663 \n", - "16 292758 \n", - "17 288483 \n", - "18 285382 \n", - "19 277970 \n", - "20 275953 \n", - "21 245755 \n", - "22 243882 \n", - "23 238334 \n", - "24 232571 \n", - "25 227632 \n", - "26 217077 \n", - "27 210971 \n", - "28 209209 \n", - "29 203154 \n", - "30 13978140 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Altera os nomes das colunas\n", - "\n", - "df_1.columns = ['Municípios', '2019', '2020', '2021', '2022']\n", - "print(df_1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "L6d5VRWSrfKE", - "outputId": "44f2bac5-34cf-447a-adde-1bdf9ce36523" - }, - "execution_count": 60, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 2021 \\\n", - "0 São Desidério (BA) 2.024108e+06 3.091203e+06 3.159580e+06 \n", - "1 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 2.299738e+06 \n", - "2 Jaborandi (BA) 1.706968e+06 1.744004e+06 2.051921e+06 \n", - "3 Correntina (BA) 1.545573e+06 1.060526e+06 1.585476e+06 \n", - "4 Barreiras (BA) 1.568927e+06 1.179766e+06 9.583063e+05 \n", - "5 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 7.619633e+05 \n", - "6 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 9.987006e+05 \n", - "7 Jequié (BA) 2.491692e+05 1.862657e+05 1.639264e+05 \n", - "8 Encruzilhada (BA) 4.038959e+05 4.516205e+05 5.873154e+05 \n", - "9 Baianópolis (BA) 6.074368e+05 7.908150e+05 1.700892e+06 \n", - "10 Valença (BA) 2.476738e+05 4.276377e+05 1.953325e+05 \n", - "11 Cocos (BA) 9.593941e+05 1.218387e+06 1.229645e+06 \n", - "12 Belmonte (BA) 3.904032e+05 3.505588e+05 3.314850e+05 \n", - "13 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 6.542620e+05 \n", - "14 Barra (BA) 2.260111e+05 1.397781e+05 7.905882e+04 \n", - "15 Cotegipe (BA) 3.311638e+05 5.599601e+05 2.925473e+05 \n", - "16 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 7.243660e+04 \n", - "17 Itagibá (BA) 1.216756e+05 7.210208e+04 1.114533e+05 \n", - "18 Itapetinga (BA) 5.707418e+04 4.613513e+04 2.072777e+04 \n", - "19 Iguaí (BA) 8.222719e+04 1.274713e+05 1.559627e+05 \n", - "20 Maraú (BA) 8.020749e+04 1.701269e+05 1.032113e+05 \n", - "21 Ibicuí (BA) 1.696392e+04 3.524000e+04 2.780070e+04 \n", - "22 Guaratinga (BA) 2.117080e+05 2.516566e+05 1.717426e+05 \n", - "23 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 5.956842e+04 \n", - "24 Camamu (BA) 2.214714e+05 4.347414e+05 1.635482e+05 \n", - "25 Itambé (BA) 1.001077e+05 1.444300e+05 6.526349e+04 \n", - "26 Dário Meira (BA) 9.440196e+04 9.250477e+04 1.017979e+05 \n", - "27 Igrapiúna (BA) 2.576941e+05 3.782366e+05 1.486217e+05 \n", - "28 Ilhéus (BA) 1.588721e+05 1.912059e+05 1.317151e+05 \n", - "29 Itarantim (BA) 3.847215e+04 6.031930e+04 1.040533e+04 \n", - "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 \n", - "\n", - " 2022 \n", - "0 2729422 \n", - "1 2432263 \n", - "2 1734316 \n", - "3 1473135 \n", - "4 996163 \n", - "5 670183 \n", - "6 569631 \n", - "7 498001 \n", - "8 414662 \n", - "9 413632 \n", - "10 378871 \n", - "11 367625 \n", - "12 354868 \n", - "13 343098 \n", - "14 312169 \n", - "15 297663 \n", - "16 292758 \n", - "17 288483 \n", - "18 285382 \n", - "19 277970 \n", - "20 275953 \n", - "21 245755 \n", - "22 243882 \n", - "23 238334 \n", - "24 232571 \n", - "25 227632 \n", - "26 217077 \n", - "27 210971 \n", - "28 209209 \n", - "29 203154 \n", - "30 13978140 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remover informações de estado (como \"(BA)\") de 'Municípios'\n", - "df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n", - "\n", - "print(df_1)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "aYveX-t4rJBb", - "outputId": "6bb2e3f3-4552-442d-bedd-a02748cfba5b" - }, - "execution_count": 61, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 2021 2022\n", - "0 São Desidério 2.024108e+06 3.091203e+06 3.159580e+06 2729422\n", - "1 Formosa do Rio Preto 4.220327e+06 3.073766e+06 2.299738e+06 2432263\n", - "2 Jaborandi 1.706968e+06 1.744004e+06 2.051921e+06 1734316\n", - "3 Correntina 1.545573e+06 1.060526e+06 1.585476e+06 1473135\n", - "4 Barreiras 1.568927e+06 1.179766e+06 9.583063e+05 996163\n", - "5 Riachão das Neves 5.801730e+05 1.085054e+06 7.619633e+05 670183\n", - "6 Santa Rita de Cássia 6.947971e+05 8.595094e+05 9.987006e+05 569631\n", - "7 Jequié 2.491692e+05 1.862657e+05 1.639264e+05 498001\n", - "8 Encruzilhada 4.038959e+05 4.516205e+05 5.873154e+05 414662\n", - "9 Baianópolis 6.074368e+05 7.908150e+05 1.700892e+06 413632\n", - "10 Valença 2.476738e+05 4.276377e+05 1.953325e+05 378871\n", - "11 Cocos 9.593941e+05 1.218387e+06 1.229645e+06 367625\n", - "12 Belmonte 3.904032e+05 3.505588e+05 3.314850e+05 354868\n", - "13 Luís Eduardo Magalhães 8.004357e+05 1.523413e+06 6.542620e+05 343098\n", - "14 Barra 2.260111e+05 1.397781e+05 7.905882e+04 312169\n", - "15 Cotegipe 3.311638e+05 5.599601e+05 2.925473e+05 297663\n", - "16 Ibirapitanga 8.620563e+04 2.963629e+05 7.243660e+04 292758\n", - "17 Itagibá 1.216756e+05 7.210208e+04 1.114533e+05 288483\n", - "18 Itapetinga 5.707418e+04 4.613513e+04 2.072777e+04 285382\n", - "19 Iguaí 8.222719e+04 1.274713e+05 1.559627e+05 277970\n", - "20 Maraú 8.020749e+04 1.701269e+05 1.032113e+05 275953\n", - "21 Ibicuí 1.696392e+04 3.524000e+04 2.780070e+04 245755\n", - "22 Guaratinga 2.117080e+05 2.516566e+05 1.717426e+05 243882\n", - "23 Nilo Peçanha 9.027649e+04 1.546260e+05 5.956842e+04 238334\n", - "24 Camamu 2.214714e+05 4.347414e+05 1.635482e+05 232571\n", - "25 Itambé 1.001077e+05 1.444300e+05 6.526349e+04 227632\n", - "26 Dário Meira 9.440196e+04 9.250477e+04 1.017979e+05 217077\n", - "27 Igrapiúna 2.576941e+05 3.782366e+05 1.486217e+05 210971\n", - "28 Ilhéus 1.588721e+05 1.912059e+05 1.317151e+05 209209\n", - "29 Itarantim 3.847215e+04 6.031930e+04 1.040533e+04 203154\n", - "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 13978140\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":2: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Converta todas as colunas de anos para inteiro\n", - "\n", - "df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int)\n", - "\n", - "print(df_1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "6toQkSKTetTx", - "outputId": "efdc78f2-2b17-4596-809b-709544fb5b72" - }, - "execution_count": 65, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 2021 2022\n", - "0 São Desidério 2024107 3091203 3159579 2729422\n", - "1 Formosa do Rio Preto 4220327 3073766 2299737 2432263\n", - "2 Jaborandi 1706967 1744004 2051920 1734316\n", - "3 Correntina 1545572 1060525 1585476 1473135\n", - "4 Barreiras 1568927 1179766 958306 996163\n", - "5 Riachão das Neves 580173 1085054 761963 670183\n", - "6 Santa Rita de Cássia 694797 859509 998700 569631\n", - "7 Jequié 249169 186265 163926 498001\n", - "8 Encruzilhada 403895 451620 587315 414662\n", - "9 Baianópolis 607436 790814 1700892 413632\n", - "10 Valença 247673 427637 195332 378871\n", - "11 Cocos 959394 1218387 1229644 367625\n", - "12 Belmonte 390403 350558 331485 354868\n", - "13 Luís Eduardo Magalhães 800435 1523413 654262 343098\n", - "14 Barra 226011 139778 79058 312169\n", - "15 Cotegipe 331163 559960 292547 297663\n", - "16 Ibirapitanga 86205 296362 72436 292758\n", - "17 Itagibá 121675 72102 111453 288483\n", - "18 Itapetinga 57074 46135 20727 285382\n", - "19 Iguaí 82227 127471 155962 277970\n", - "20 Maraú 80207 170126 103211 275953\n", - "21 Ibicuí 16963 35239 27800 245755\n", - "22 Guaratinga 211708 251656 171742 243882\n", - "23 Nilo Peçanha 90276 154625 59568 238334\n", - "24 Camamu 221471 434741 163548 232571\n", - "25 Itambé 100107 144429 65263 227632\n", - "26 Dário Meira 94401 92504 101797 217077\n", - "27 Igrapiúna 257694 378236 148621 210971\n", - "28 Ilhéus 158872 191205 131715 209209\n", - "29 Itarantim 38472 60319 10405 203154\n", - "30 Outros 15546451 13047762 13420866 13978140\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":3: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int)\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Contagem de valores nulos em cada coluna\n", - "\n", - "nulos_por_coluna1 = df_1.isnull().sum()\n", - "print(nulos_por_coluna1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "4MuBo8vKgg6H", - "outputId": "f97af53b-c533-461c-a120-02c63b956265" - }, - "execution_count": 66, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Municípios 0\n", - "2019 0\n", - "2020 0\n", - "2021 0\n", - "2022 0\n", - "dtype: int64\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remove linhas duplicadas\n", - "\n", - "df_sem_duplicatas1 = df_1.drop_duplicates()\n", - "print(df_sem_duplicatas1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "1ugZRlahiJ9B", - "outputId": "3acbe939-6b7a-49c2-fe03-52fd28590895" - }, - "execution_count": 67, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 2021 2022\n", - "0 São Desidério 2024107 3091203 3159579 2729422\n", - "1 Formosa do Rio Preto 4220327 3073766 2299737 2432263\n", - "2 Jaborandi 1706967 1744004 2051920 1734316\n", - "3 Correntina 1545572 1060525 1585476 1473135\n", - "4 Barreiras 1568927 1179766 958306 996163\n", - "5 Riachão das Neves 580173 1085054 761963 670183\n", - "6 Santa Rita de Cássia 694797 859509 998700 569631\n", - "7 Jequié 249169 186265 163926 498001\n", - "8 Encruzilhada 403895 451620 587315 414662\n", - "9 Baianópolis 607436 790814 1700892 413632\n", - "10 Valença 247673 427637 195332 378871\n", - "11 Cocos 959394 1218387 1229644 367625\n", - "12 Belmonte 390403 350558 331485 354868\n", - "13 Luís Eduardo Magalhães 800435 1523413 654262 343098\n", - "14 Barra 226011 139778 79058 312169\n", - "15 Cotegipe 331163 559960 292547 297663\n", - "16 Ibirapitanga 86205 296362 72436 292758\n", - "17 Itagibá 121675 72102 111453 288483\n", - "18 Itapetinga 57074 46135 20727 285382\n", - "19 Iguaí 82227 127471 155962 277970\n", - "20 Maraú 80207 170126 103211 275953\n", - "21 Ibicuí 16963 35239 27800 245755\n", - "22 Guaratinga 211708 251656 171742 243882\n", - "23 Nilo Peçanha 90276 154625 59568 238334\n", - "24 Camamu 221471 434741 163548 232571\n", - "25 Itambé 100107 144429 65263 227632\n", - "26 Dário Meira 94401 92504 101797 217077\n", - "27 Igrapiúna 257694 378236 148621 210971\n", - "28 Ilhéus 158872 191205 131715 209209\n", - "29 Itarantim 38472 60319 10405 203154\n", - "30 Outros 15546451 13047762 13420866 13978140\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Transformar os dados para um formato longo (melt)\n", - "\n", - "df_sem_duplicatas1 = pd.melt(df_1, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido')\n", - "\n", - "print(df_sem_duplicatas1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "LZkN9n9JkTVG", - "outputId": "b1ae7152-4ce0-4fe4-cf10-e7b85ecf2873" - }, - "execution_count": 68, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios Ano CO2_emitido\n", - "0 São Desidério 2019 2024107\n", - "1 Formosa do Rio Preto 2019 4220327\n", - "2 Jaborandi 2019 1706967\n", - "3 Correntina 2019 1545572\n", - "4 Barreiras 2019 1568927\n", - ".. ... ... ...\n", - "119 Dário Meira 2022 217077\n", - "120 Igrapiúna 2022 210971\n", - "121 Ilhéus 2022 209209\n", - "122 Itarantim 2022 203154\n", - "123 Outros 2022 13978140\n", - "\n", - "[124 rows x 3 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Calcular o total da coluna 'valor'\n", - "valor_total = df1['2022'].sum()\n", - "print(\"O valor total da coluna 'valor' é:\", valor_total)" - ], - "metadata": { - "id": "ONOhelsVZ1g8", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "28481b77-4423-4409-8485-ef0a1f19870a" - }, - "execution_count": 69, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "O valor total da coluna 'valor' é: 31412973\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Salvando o arquivo final em um novo CSV\n", - "\n", - "df_sem_duplicatas1.to_csv('co2.csv', index=False, encoding='utf-8')\n", - "\n", - "print(df_sem_duplicatas1)\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "rAUV5SOqQPex", - "outputId": "55a2801b-2811-450b-f930-13af6a50c926" - }, - "execution_count": 72, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios Ano CO2_emitido\n", - "0 São Desidério 2019 2024107\n", - "1 Formosa do Rio Preto 2019 4220327\n", - "2 Jaborandi 2019 1706967\n", - "3 Correntina 2019 1545572\n", - "4 Barreiras 2019 1568927\n", - ".. ... ... ...\n", - "119 Dário Meira 2022 217077\n", - "120 Igrapiúna 2022 210971\n", - "121 Ilhéus 2022 209209\n", - "122 Itarantim 2022 203154\n", - "123 Outros 2022 13978140\n", - "\n", - "[124 rows x 3 columns]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**2. DADOS DESMATAMENTO - MAPBIOMAS**" - ], - "metadata": { - "id": "4b3RXVJPee-P" - } - }, - { - "cell_type": "code", - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt" - ], - "metadata": { - "id": "GGWC3zlhehXu" - }, - "execution_count": 46, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# importando dados\n", - "\n", - "df3 = pd.read_csv('mapbiomas_ba.csv')\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "\n", - "print(df3.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "dOTnbHapgsxF", - "outputId": "0275eb8c-7c99-47b4-eb44-c28b34f6f2d6" - }, - "execution_count": 47, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " CODEALERTA FONTE BIOMA ESTADO MUNICIPIO AREAHA \\\n", - "0 1226926 {SAD-CAATINGA} Caatinga BAHIA Iaçu 2.96 \n", - "1 1226922 {SAD-CAATINGA} Caatinga BAHIA Miguel Calmon 1.69 \n", - "2 1227303 {SAD-CAATINGA} Caatinga BAHIA Buritirama 2.05 \n", - "3 1227296 {SAD-CAATINGA} Caatinga BAHIA Piatã 0.69 \n", - "4 1227291 {SAD-CAATINGA} Caatinga BAHIA Cotegipe 23.97 \n", - "\n", - " ANODETEC DATADETEC DTIMGANT DTIMGDEP DTPUBLI VPRESSAO \n", - "0 2024.0 2024/01/01 2023/01/26 2024/02/14 2024/04/30 agriculture \n", - "1 2024.0 2024/01/01 2023/06/30 2024/01/31 2024/04/30 agriculture \n", - "2 2024.0 2024/01/01 2023/03/17 2023/10/10 2024/04/30 agriculture \n", - "3 2024.0 2024/01/01 2023/04/27 2023/06/17 2024/04/30 agriculture \n", - "4 2024.0 2024/01/01 2023/08/12 2023/10/17 2024/04/30 agriculture \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df3.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "TUEysu1IQn2V", - "outputId": "8ad524da-855f-4137-8f30-dee044fbefed" - }, - "execution_count": 48, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 12 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 CODEALERTA 28397 non-null int64 \n", - " 1 FONTE 28397 non-null object \n", - " 2 BIOMA 28397 non-null object \n", - " 3 ESTADO 28397 non-null object \n", - " 4 MUNICIPIO 28397 non-null object \n", - " 5 AREAHA 28397 non-null float64\n", - " 6 ANODETEC 28397 non-null float64\n", - " 7 DATADETEC 28397 non-null object \n", - " 8 DTIMGANT 28397 non-null object \n", - " 9 DTIMGDEP 28397 non-null object \n", - " 10 DTPUBLI 28397 non-null object \n", - " 11 VPRESSAO 28397 non-null object \n", - "dtypes: float64(2), int64(1), object(9)\n", - "memory usage: 2.6+ MB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Converta todas as colunas de anos para int\n", - "\n", - "df3[['ANODETEC']] = df3[['ANODETEC']].astype(int)\n", - "\n", - "df3.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "_0gvkwXlQnbU", - "outputId": "ca7bbc24-4b5e-4c44-f4f2-72f2db725ce4" - }, - "execution_count": 49, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 12 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 CODEALERTA 28397 non-null int64 \n", - " 1 FONTE 28397 non-null object \n", - " 2 BIOMA 28397 non-null object \n", - " 3 ESTADO 28397 non-null object \n", - " 4 MUNICIPIO 28397 non-null object \n", - " 5 AREAHA 28397 non-null float64\n", - " 6 ANODETEC 28397 non-null int64 \n", - " 7 DATADETEC 28397 non-null object \n", - " 8 DTIMGANT 28397 non-null object \n", - " 9 DTIMGDEP 28397 non-null object \n", - " 10 DTPUBLI 28397 non-null object \n", - " 11 VPRESSAO 28397 non-null object \n", - "dtypes: float64(1), int64(2), object(9)\n", - "memory usage: 2.6+ MB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remover múltiplas colunas de uma vez, temos que deixar municipio, area ha (pra calcular o desmatamento, data tec e ano)\n", - "\n", - "colunas_para_remover = ['CODEALERTA', 'FONTE', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'DATADETEC']\n", - "\n", - "df3_limpo = df3.drop(columns=colunas_para_remover)\n", - "\n", - "print(df3_limpo.head())" - ], - "metadata": { - "id": "UHR6fDjZfFf9", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "fde59c3f-e46e-4872-b185-053b24ceb5fd" - }, - "execution_count": 51, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Caatinga BAHIA Iaçu 2.96 2024 agriculture\n", - "1 Caatinga BAHIA Miguel Calmon 1.69 2024 agriculture\n", - "2 Caatinga BAHIA Buritirama 2.05 2024 agriculture\n", - "3 Caatinga BAHIA Piatã 0.69 2024 agriculture\n", - "4 Caatinga BAHIA Cotegipe 23.97 2024 agriculture\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "print(df3_limpo.info())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "WBdJUsJ9f3Yi", - "outputId": "ab7e8d10-f061-4c27-d388-404d651b971c" - }, - "execution_count": 52, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 6 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 BIOMA 28397 non-null object \n", - " 1 ESTADO 28397 non-null object \n", - " 2 MUNICIPIO 28397 non-null object \n", - " 3 AREAHA 28397 non-null float64\n", - " 4 ANODETEC 28397 non-null int64 \n", - " 5 VPRESSAO 28397 non-null object \n", - "dtypes: float64(1), int64(1), object(4)\n", - "memory usage: 1.3+ MB\n", - "None\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Verificar se tem valores faltantes\n", - "\n", - "print(df3_limpo.isnull().sum())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Jeufw3Gvf6gj", - "outputId": "52788ae4-ce1a-4110-8488-cdc39223347d" - }, - "execution_count": 53, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BIOMA 0\n", - "ESTADO 0\n", - "MUNICIPIO 0\n", - "AREAHA 0\n", - "ANODETEC 0\n", - "VPRESSAO 0\n", - "dtype: int64\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df3_MUN = df3_limpo.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df3_MUN.head())\n", - "\n", - "df3_ANO = df3_limpo.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df3_ANO.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "4LvRvq8pSL8G", - "outputId": "0ec49fe3-1297-47b0-dfec-892e6985cb1f" - }, - "execution_count": 54, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " MUNICIPIO AREAHA\n", - "0 Abaré 22.43\n", - "1 Abaíra 69.20\n", - "2 Acajutiba 127.70\n", - "3 Adustina 482.47\n", - "4 Aiquara 175.27\n", - " ANODETEC AREAHA\n", - "0 2019 64554.41\n", - "1 2020 113073.16\n", - "2 2021 154250.73\n", - "3 2022 227779.90\n", - "4 2023 290593.00\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Salvando o arquivo final em um novo CSV\n", - "\n", - "df3_limpo.to_csv('desmatamento.csv', index=False, encoding='utf-8')\n", - "\n", - "print(df3_limpo)" - ], - "metadata": { - "id": "Dmt95mSDi-XN", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "4f7204c9-cbfd-48f5-d6c0-306adae656eb" - }, - "execution_count": 70, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Caatinga BAHIA Iaçu 2.96 2024 agriculture\n", - "1 Caatinga BAHIA Miguel Calmon 1.69 2024 agriculture\n", - "2 Caatinga BAHIA Buritirama 2.05 2024 agriculture\n", - "3 Caatinga BAHIA Piatã 0.69 2024 agriculture\n", - "4 Caatinga BAHIA Cotegipe 23.97 2024 agriculture\n", - "... ... ... ... ... ... ...\n", - "28392 Caatinga BAHIA Guajeru 1.47 2024 agriculture\n", - "28393 Caatinga BAHIA Filadélfia 1.56 2024 agriculture\n", - "28394 Caatinga BAHIA Itaberaba 54.26 2024 agriculture\n", - "28395 Caatinga BAHIA Barra da Estiva 7.11 2024 agriculture\n", - "28396 Caatinga BAHIA Várzea da Roça 2.37 2024 agriculture\n", - "\n", - "[28397 rows x 6 columns]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**Integrando as bases de dados**" - ], - "metadata": { - "id": "_q7zkPedSmZl" - } - }, - { - "cell_type": "code", - "source": [ - "# importando dados\n", - "\n", - "df_desmatamento = pd.read_csv('desmatamento.csv')\n", - "\n", - "df_co2 = pd.read_csv('co2.csv')\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "\n", - "print(df_desmatamento.head())\n", - "\n", - "print(df_co2.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "I94Is9Ugs3l4", - "outputId": "9b690f09-4fc9-4c94-8408-848575a7cd46" - }, - "execution_count": 75, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Caatinga BAHIA Iaçu 2.96 2024 agriculture\n", - "1 Caatinga BAHIA Miguel Calmon 1.69 2024 agriculture\n", - "2 Caatinga BAHIA Buritirama 2.05 2024 agriculture\n", - "3 Caatinga BAHIA Piatã 0.69 2024 agriculture\n", - "4 Caatinga BAHIA Cotegipe 23.97 2024 agriculture\n", - " Municípios Ano CO2_emitido\n", - "0 São Desidério 2019 2024107\n", - "1 Formosa do Rio Preto 2019 4220327\n", - "2 Jaborandi 2019 1706967\n", - "3 Correntina 2019 1545572\n", - "4 Barreiras 2019 1568927\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Limpar e padronizar os nomes de municípios\n", - "\n", - "df_desmatamento['MUNICIPIO'] = df_desmatamento['MUNICIPIO'].str.strip().str.lower()\n", - "df_co2['Municípios'] = df_co2['Municípios'].str.strip().str.lower()\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "\n", - "print(df_desmatamento.head())\n", - "\n", - "print(df_co2.head())\n" - ], - "metadata": { - "id": "_NzU6L8rSa0b", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "31b0233a-709b-4382-9b1a-9289fed00af6" - }, - "execution_count": 77, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Caatinga BAHIA iaçu 2.96 2024 agriculture\n", - "1 Caatinga BAHIA miguel calmon 1.69 2024 agriculture\n", - "2 Caatinga BAHIA buritirama 2.05 2024 agriculture\n", - "3 Caatinga BAHIA piatã 0.69 2024 agriculture\n", - "4 Caatinga BAHIA cotegipe 23.97 2024 agriculture\n", - " Municípios Ano CO2_emitido\n", - "0 são desidério 2019 2024107\n", - "1 formosa do rio preto 2019 4220327\n", - "2 jaborandi 2019 1706967\n", - "3 correntina 2019 1545572\n", - "4 barreiras 2019 1568927\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remove linhas duplicadas\n", - "\n", - "df_desmatamentos = df_desmatamento.drop_duplicates()\n", - "print(df_desmatamentos)\n", - "\n", - "\n", - "df_co2s = df_co2.drop_duplicates()\n", - "print(df_co2s)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "qGcjZp3huhft", - "outputId": "c44acea9-0073-4b86-9f23-6a59f9327d8b" - }, - "execution_count": 81, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Caatinga BAHIA iaçu 2.96 2024 agriculture\n", - "1 Caatinga BAHIA miguel calmon 1.69 2024 agriculture\n", - "2 Caatinga BAHIA buritirama 2.05 2024 agriculture\n", - "3 Caatinga BAHIA piatã 0.69 2024 agriculture\n", - "4 Caatinga BAHIA cotegipe 23.97 2024 agriculture\n", - "... ... ... ... ... ... ...\n", - "28392 Caatinga BAHIA guajeru 1.47 2024 agriculture\n", - "28393 Caatinga BAHIA filadélfia 1.56 2024 agriculture\n", - "28394 Caatinga BAHIA itaberaba 54.26 2024 agriculture\n", - "28395 Caatinga BAHIA barra da estiva 7.11 2024 agriculture\n", - "28396 Caatinga BAHIA várzea da roça 2.37 2024 agriculture\n", - "\n", - "[27919 rows x 6 columns]\n", - " Municípios Ano CO2_emitido\n", - "0 são desidério 2019 2024107\n", - "1 formosa do rio preto 2019 4220327\n", - "2 jaborandi 2019 1706967\n", - "3 correntina 2019 1545572\n", - "4 barreiras 2019 1568927\n", - ".. ... ... ...\n", - "119 dário meira 2022 217077\n", - "120 igrapiúna 2022 210971\n", - "121 ilhéus 2022 209209\n", - "122 itarantim 2022 203154\n", - "123 outros 2022 13978140\n", - "\n", - "[124 rows x 3 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Realizar a junção das tabelas com base nos municípios e anos\n", - "df_integrado = pd.merge(df_desmatamentos, df_co2s, left_on=['MUNICIPIO', 'ANODETEC'], right_on=['Municípios', 'Ano'], how='inner')\n", - "\n", - "# Exibir as primeiras linhas da tabela integrada\n", - "df_integrado.head()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 206 - }, - "id": "MJTWFuyzsXWE", - "outputId": "40ebcaf4-5987-421c-95a6-2a458e9070b5" - }, - "execution_count": 123, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO \\\n", - "0 Cerrado BAHIA são desidério 12.52 2021 agriculture \n", - 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2CerradoBAHIAriachão das neves7.412021agricultureriachão das neves2021761963
3CerradoBAHIAbaianópolis2.912021agriculturebaianópolis20211700892
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\n" - ], - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "dataframe", - "variable_name": "df_integrado", - "summary": "{\n \"name\": \"df_integrado\",\n \"rows\": 4308,\n \"fields\": [\n {\n \"column\": \"BIOMA\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"Cerrado\",\n \"Mata Atl\\u00e2ntica\",\n \"Caatinga\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ESTADO\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"BAHIA\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MUNICIPIO\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 30,\n \"samples\": [\n \"nilo pe\\u00e7anha\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"AREAHA\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 368.793437365507,\n \"min\": 0.15,\n \"max\": 12342.73,\n \"num_unique_values\": 2640,\n \"samples\": [\n 12.1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"VPRESSAO\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"others\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"CO2_emitido\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 939583,\n \"min\": 10405,\n \"max\": 4220327,\n \"num_unique_values\": 116,\n \"samples\": [\n 296362\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ANO\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 2019,\n \"max\": 2022,\n \"num_unique_values\": 4,\n \"samples\": [\n 2022\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" - } - }, - "metadata": {}, - "execution_count": 126 - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Salvando o arquivo final em CSV\n", - "df_integrado.to_csv('dados_integrados.csv', index=False, encoding='utf-8')" - ], - "metadata": { - "id": "oGNhlhwlsaTK" - }, - "execution_count": 128, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "**Visualização dos dados**" - ], - "metadata": { - "id": "9yAQtchPsAC4" - } - }, - { - "cell_type": "code", - "source": [ - "# Importar bibliotecas necessárias\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "# Carregar os dados integrados\n", - "df_integrado = pd.read_csv('dados_integrados.csv')\n", - "\n", - "# Exibir as primeiras linhas do DataFrame para verificar se os dados foram carregados corretamente\n", - "print(df_integrado.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "collapsed": true, - "id": "0QQgbfE9s3X_", - "outputId": "5d262ddf-3281-4f97-dd91-8166ed5833e1" - }, - "execution_count": 199, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA VPRESSAO CO2_emitido \\\n", - "0 Cerrado BAHIA são desidério 12.52 agriculture 3159579 \n", - "1 Cerrado BAHIA luís eduardo magalhães 4.83 agriculture 654262 \n", - "2 Cerrado BAHIA riachão das neves 7.41 agriculture 761963 \n", - "3 Cerrado BAHIA baianópolis 2.91 agriculture 1700892 \n", - "4 Cerrado BAHIA santa rita de cássia 2.30 agriculture 998700 \n", - "\n", - " ANO \n", - "0 2021 \n", - "1 2021 \n", - "2 2021 \n", - "3 2021 \n", - "4 2021 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Definir o estilo para os gráficos\n", - "sns.set(style=\"whitegrid\")" - ], - "metadata": { - "id": "QvbjlogE5FVE" - }, - "execution_count": 200, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# 1. Gráfico de barras: Desmatamento total por ano\n", - "plt.figure(figsize=(10,6))\n", - "sns.barplot(x='ANO', y='AREAHA', data=df_integrado, estimator=sum, ci=None, color='teal')\n", - "plt.title('Total de Área Desmatada por Ano (Bahia)', fontsize=14)\n", - "plt.xlabel('Ano', fontsize=12)\n", - "plt.ylabel('Área Desmatada (ha)', fontsize=12)\n", - "plt.xticks(rotation=45)\n", - "plt.show()\n", - "\n", - "# 2. Gráfico de barras: Emissões de CO₂ por ano\n", - "plt.figure(figsize=(10,6))\n", - "sns.barplot(x='ANO', y='CO2_emitido', data=df_integrado, estimator=sum, ci=None, color='orange')\n", - "plt.title('Emissões de CO₂ por Ano (Bahia)', fontsize=14)\n", - "plt.xlabel('Ano', fontsize=12)\n", - "plt.ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", - "plt.xticks(rotation=45)\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "h8SueyKp5JVU", - "outputId": "80b970c1-2f59-4153-deaf-f18df51062c1" - }, - "execution_count": 201, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":3: FutureWarning: \n", - "\n", - "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", - "\n", - " sns.barplot(x='ANO', y='AREAHA', data=df_integrado, estimator=sum, ci=None, color='teal')\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":12: FutureWarning: \n", - "\n", - "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", - "\n", - " sns.barplot(x='ANO', y='CO2_emitido', data=df_integrado, estimator=sum, ci=None, color='orange')\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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fb21z9HiyExsbK0k2H1b8U3BwsM1lpPHx8Tp06JBmzJihAQMG6J133lGLFi2s21NSUvTJJ59o/fr1ioqKUlJSks3v9Ozmvp+fX7Yhqnjx4vr1119veQyZTp8+rYULF2rnzp2KiYnJEkLPnz+vUqVKZdnP398/R/fRAcgfCGFO0qxZM+snas8995zdn3z908KFC+Xn56f33nvP+oman5+fxowZo99++01hYWFOqxmAsr2ZP/NT8FttS0tLu+W47u7u+uijjzRv3jx9++23mjFjhqQbK6P17t1bI0aMsI71zjvvaMGCBVq3bp3eeust63t37txZ48ePt4bExMTEm57pyQyOiYmJ1ra4uDilpaVlG3AyJSUlWf/9/PPPq3Tp0vriiy/03nvv6b333pOXl5dat26tf//737dd0S3zDEl2ZyUKFCiQ5Wxa5h/QR48e1dGjR286rj1XAhQtWlRnz55VTExMtn8M32wfSfrzzz9v2zfzTEPm1/m+++6zOc7atWsrPT1d0dHRdoew7BYPyRxb+t/XM/P/6c36Z/f/PnOcf36IcDvXr19XRESEChUqpMcee8xmW4cOHbRgwQJ9/vnn2Yaw7OZLZvDOyMiwtjl6PNnx8vKy1m0vPz8/1a9fX3PmzNFjjz2m119/3SaEjRkzRt9//73KlSunNm3a6L777pO7u7vi4+O1bNmybM/Q3ezxF+7u7jbHfjMnT55Ut27dlJiYqHr16umRRx6Rj4+P3NzctHv3bu3evfumZwavX79uyuMxADgXIcxJ7Fka1jAMLVmyRGvWrNHZs2dVvHhx9enTR/3797f2OXz4sOrUqWNzSUPmCk5btmwhhAF3kSJFiujFF1/UCy+8oKioKO3cuVPLly/X3Llz5eHhYX3AcsGCBTVu3DiNGzdOp0+f1q5du7Rq1SotW7ZM169f19SpUyXd+CP3ZgsWZF5a9/c/hDP/be/Kae7u7ho0aJAGDRqkmJgY/fe//9UXX3yhtWvX6uLFi7c9w5j5h+ilS5eybEtPT1dsbKzNkvqZ9bVs2TLXZ/pr1aqls2fPaseOHXaHsKpVq8rDw0OHDh1SQkLCLZ8jl3kJWs2aNbNsMwxD77zzjkqVKqX69evbXXN2q2xK//v6ZdaT+XW6Wf/MSyT/GYJyGsAkadOmTdazVpmLPvzTwYMHdeTIET344IM5Hl9y/Hiyk/nBwK1W37yZsmXLKiAgQCdPnlR8fLz8/Py0f/9+ff/992rUqJEWLVpkc1nir7/+qmXLluX4feyxdOlSxcXFadasWTZnICVp8uTJN10QJSMjQwkJCapYseIdqQvAncM9YSZ69dVXNWfOHHXs2FGLFi1Sp06d9MYbb2jlypXWPtevX7cJYNKNy14sFku+vCQHwO1ZLBZVqFBBvXv31ocffihJN11SvkyZMuratas+/vhjFSpUyKZf5cqVlZycrP3792fZL/OPtL//YRweHq7Y2FhFR0fnuObixYurXbt2+uCDD1S2bFn99NNPunbt2i33yXzvX375Jcu2vXv3Zjl7WKFCBfn4+OjgwYO3XPrbHpn3Hi1ZsuS2dWaeUShUqJBatmxpfUTAzRw/flybN29W4cKFrQ9//ruZM2dqz549euutt2zuvbudPXv2ZDlLkpGRoT179shisVi/npkfvmX3h3hSUpIOHjwob29vm/vwHJW5ymSrVq3UtWvXLP9lfiiY2c8RzjyekJAQSTcubc2ptLQ0Xb16VdL/ztRlrkrZtGnTLPeF/fzzzzl+D3udOnVKkvToo4/atBuGob179950v+joaGVkZFi/DgDuHoQwk5w6dUoff/yxJk2apBEjRqhBgwYaNWqU+vfvr/nz51t/AZQrV04HDhywuf58//79MgzDoU/6AOSNM2fO6MyZM1naMz/9z/yw5fLly/rjjz+y9IuLi1NqaqrNhzKdOnWSdGMp+b+Hlj///FMffvih3N3d1b59e2t75nPLJk2alO09IxcuXNDx48cl3Qgme/bsydInKSlJSUlJcnd3v+0Z/0cffVQ+Pj76/PPPbf4oTk1N1TvvvJOlv7u7u3r16qWzZ89q5syZ2QaxP/74I9sza//0r3/9S+3atdOJEyc0atSobPdJTEzUm2++qdWrV1vbxo8fL39/fy1cuNB6L9TfRUdH68knn1RqaqqefvrpLPcezZ07V6tXr9a7776b42XSo6OjtWbNGpu2NWvWKDo6Wk2bNrWe5alVq5YeeOABbd26NcujAt577z3Fxsaqbdu2WT7Ay6nMs7ClSpXS22+/rVdffTXLf2+//ba8vb0VERFh18IZ2XHm8WTeV7Zv374c1/Hxxx8rNTVVlSpVsl4qW7JkSUlZP0g4evSoFi1alOP3sFfmvV7/fN9FixZl+/MhU+YHMtndXwcgf+NyRJNk/qJ57LHHbD4NbtCggd5//339+eefKlWqlHr16qX+/ftr9uzZGjhwoM6fP6+XX34529XKAGR16tQpzZ0796bbhw4dar2P5E46cuSIRo0apfDwcFWoUEFBQUGKiYnRd999Jzc3N+tlyDExMerYsaMefPBBhYaGqnjx4oqNjdV//vMf67OHMnXo0EGbNm3Sf/7zH7Vv315NmzZVcnKyvvnmG8XGxuq5556zuRSvcePGevLJJ/Xuu+/qscce08MPP6ySJUsqNjZWJ0+e1C+//KKxY8eqQoUKunbtmnr16qVy5cqpatWqKlGihJKSkvTDDz/owoULGjhw4G3/KPb19dULL7yg5557Tl27dlXbtm3l4+OjH374Qd7e3tZ7ff4u837X5cuXKzIyUrVr19Z9992nmJgY/fHHHzpy5IhWr15t1/OtXn31VRmGofXr1+vRRx9Vw4YNVa5cORmGoZMnT2rHjh26evWqZs2aZd2nVKlSWrRokZ588km98MILWr58uerWrauCBQvq+PHj2rp1q9LS0jR69Gjr6niZ5syZo08++UQffvjhTS/du5VGjRpp2rRpioyMVKVKlXT06FF9//33KlKkiJ5//nlrPzc3N7322msaPHiwhg4dqpYtW6pUqVLau3evdu/erQceeEATJkzI8fv/U+bDmDt16nTTSxl9fX3VvHlzrVu3Tt999511tdCccObxhIaGqkyZMrd8jt2VK1dsfiYkJCTot99+03//+195enrqhRdesG4LDw9XeHi4vvnmG124cEHVq1fXn3/+qS1btqhJkyb69ttvc3y89ujZs6e++OILjRkzRq1bt1ZAQIB+/fVX/fbbb2ratKl++OGHbPfbvn273N3d1bRp0ztSF4A7hxBmkitXrsgwDP3rX//KdntmCKtfv74mTJigefPm6f3335ebm5t69uwpDw8P66psAG4uc4n6m+nXr58pIaxq1aoaMmSIdu/ercjISMXHxysoKEgNGjTQoEGDrH+0lypVSqNHj9bOnTv1008/KTY2VkWKFFFYWJj69u2rxo0bW8e0WCyaM2eOli1bpi+//FIff/yxPDw8VKVKFfXv3z/LpUyS9NRTT6lOnTpatmyZduzYoYSEBAUEBKh06dIaNWqUHn/8cUk37kubMGGCdu7cqZ9//lmXLl2Sv7+/goODNX78eLVt29au4+7UqZN8fX317rvv6ssvv5Svr6+aNWumZ555xnom7+88PT31/vvv67PPPtPatWu1adMmpaSkqGjRoqpQoYJ69uxp96VW3t7eevPNN9W1a1d9/vnn2rt3r/WxBCVKlFCbNm3UvXv3LKtL1qhRQ998842WL1+uLVu26Msvv9T169cVFBSktm3bqk+fPqpatarNPnv37tX8+fMVFBSkl156ydres2dP9erVy656a9SooREjRuidd97R8uXL5ebmpubNm+uZZ57Jcl9b7dq1tXr1as2fP1/bt29XYmKiihUrpr59+2rEiBG3XTTldjIyMvTll1/KYrGoY8eOt+zbpUsXrVu3Tp999plDIUxy3vFYLBb16NFDb7zxhvbv35/tyqGZS9Rn8vDwUFBQkDp06KAhQ4aoUqVK1m0FChTQwoUL9cYbb+jHH3/UgQMHVLZsWT377LNq3LjxHQthYWFhWrx4sd5++21t2rRJBQoUUM2aNbVy5Upt2bIl2xCWnJys7777Tk2bNrW51xLA3cFiOLqWOm4qc3XEdevWWdtWrFihqVOnasWKFVmWnZZuLKH795uQk5KSdPr0aQUFBcnPz0//+te/NGHCBPXs2dOUYwAA3Bm7du1S3759NWrUKI0ePTqvy7nrxcbGqnnz5mrVqpWmTZuW1+WY5tNPP9ULL7ygjz/+WHXq1MnrcgDkEGfCTJK5YlZsbKyaNWt22/6FChWyPh/ls88+k2EYat269R2tEQCAu01AQICGDh2qOXPmaMSIEdk+S8vVpKWlacGCBWrWrBkBDLhLEcKcJDk5WZGRkZJuPHA5MTHR+nDIunXrKjg4WL1799azzz6rQYMGqXr16kpNTVV0dLR27dqld999V9KNG6PXrl1rvaRi586dWrZsmaZPny5/f/+8OTgAAPKxfv36KSUlxXppv6v7888/1bFjxyzL2QO4e3A5opOcOXMm2/sxJGnZsmWqV6+eDMPQJ598otWrV+vEiRMqXLiwgoOD1apVK+tN+n/99ZeeeeYZHT58WKmpqXrwwQc1fPhwPfLIIyYeDQDgTuFyRAAAIQwAAAAATMRzwgAAAADARIQwAAAAADARC3Pk0t69e2UYRrbLzgMAAAC4d6SmpspisahmzZq37EcIyyXDMMRtdQAAAADszQWEsFzKPANWrVq1PK4EAAAAQF46cOCAXf24JwwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDEC+Y2Sk53UJuEfwvQYAyAvueV0AAPyTxa2ALvwwVqmxx/K6FLgwj4CKCmr6dl6XAQC4BxHCAORLqbHHlHLpUF6XAQAA4HRcjggAAAAAJiKEAQAAAICJ8tXliCdPntTixYu1b98+HT16VOXLl9e6detuuc+uXbvUt2/fbLcFBwdr48aNt+zXpk0bvfXWW7kvHgAAAADskK9C2NGjRxUZGanq1asrIyNDhmHcdp8qVapo9erVNm2JiYkaMmSIGjdunKX/a6+9pvLly1tfFylSJPeFAwAAAICd8lUIa9asmZo3by5Jeu6553Tw4MHb7uPj46MaNWrYtH3xxRfKyMhQu3btsvSvVKmSqlWr5pR6AQAAACCn8tU9YW5uziln3bp1KleunMLDw50yHgAAAAA4S74KYc5w8eJF7dy5M9uzYJI0dOhQVa5cWY0bN9bMmTN17do1kysEAAAAcC/LV5cjOsOGDRuUnp6eJYT5+vpq8ODBqlOnjry8vLRz504tWbJEUVFRWrhwYa7e0zAMJSUl5WoMADdYLBYVLFgwr8vAPSQ5Odmue5ABALgdwzBksVhu28/lQlhERISqVKmi4OBgm/awsDCFhYVZX9evX1/FihXT1KlTtX///lxdupiamqrDhw87vD+A/ylYsKDNXAXutBMnTig5OTmvywAAuAhPT8/b9nGpEHbq1Cnt379fEydOtKt/69atNXXqVB08eDBXIczDw0MVK1Z0eH8A/2PPp0eAMwUHB3MmDADgFMeOHbOrn0uFsIiICLm5ualNmzamvq/FYlGhQoVMfU8AgHNw+SsAwFns/TDZpRbmWL9+verWratixYrZ3V8SS9YDAAAAME2+OhOWnJysyMhISdLZs2eVmJiojRs3SpLq1q2rwMBA9evXT+fOndPmzZtt9v3tt990/PhxDRgwINuxJ0yYoLJlyyosLMy6MMfSpUvVvHlzQhgAAAAA0+SrEHbp0iU99dRTNm2Zr5ctW6Z69eopIyND6enpWfaNiIiQp6enWrZsme3YlSpVUkREhJYsWaLU1FSVKlVKw4cP19ChQ51/IAAAAABwExaDu5Fz5cCBA5K4pBFwtnNr2ynl0qG8LgMuzPO+KirZcV1elwEAcCH2ZgOXuicMAAAAAPI7QhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAidzzuoC/O3nypBYvXqx9+/bp6NGjKl++vNatW3fb/Zo1a6azZ89mad+/f7+8vLysr2NiYjRt2jRt27ZNHh4eatGihSZOnCgfHx+nHgcAAAAA3Ey+CmFHjx5VZGSkqlevroyMDBmGYfe+LVu21MCBA23aPD09rf9OTU3V4MGDJUmzZ8/WtWvXNHPmTD399NNauHChcw4AAAAAAG4jX4WwZs2aqXnz5pKk5557TgcPHrR736JFi6pGjRo33f7tt9/q6NGj2rBhg8qXLy9J8vPz06BBg7R//36Fh4fnqnYAAAAAsEe+uifMze3OlbN161aFhoZaA5gkNWzYUAEBAYqMjLxj7wsAAAAAf5evQlhuREREqGrVqqpZs6aGDBmi33//3WZ7VFSUTQCTJIvFouDgYEVFRZlZKgAAAIB7WL66HNFRzZo1U3h4uEqWLKnTp09rwYIFeuKJJ7R27VqVKVNGkhQfHy9fX98s+/r7+ysuLi5X728YhpKSknI1BoAbLBaLChYsmNdl4B6SnJyco3uQAQC4GcMwZLFYbtvPJULYCy+8YP137dq11bBhQ7Vu3VqLFy/WlClT7vj7p6am6vDhw3f8fYB7QcGCBRUWFpbXZeAecuLECSUnJ+d1GQAAF/H3xQFvxiVC2D8VK1ZMDz30kA4dOmRt8/PzU2JiYpa+cXFxKlGiRK7ez8PDQxUrVszVGABusOfTI8CZgoODORMGAHCKY8eO2dXPJUNYdsqXL68//vjDps0wDJ04cUINGzbM1dgWi0WFChXK1RgAgLzB5a8AAGex98Nkl1mY4+9iYmL0yy+/qFq1ata2xo0b68iRI4qOjra27dixQ7GxsWrSpEkeVAkAAADgXpSvzoQlJydbl4s/e/asEhMTtXHjRklS3bp1FRgYqH79+uncuXPavHmzJGndunX6/vvv1aRJExUrVkynT5/WokWLVKBAAQ0YMMA6dsuWLbVw4UKNHj1a48ePV3JysmbNmqWmTZvyjDAAAAAApslXIezSpUt66qmnbNoyXy9btkz16tVTRkaG0tPTrdtLly6t8+fPa/r06UpISJCvr6/+9a9/acyYMdaVEaUb92198MEHmjZtmsaPHy93d3e1aNFCkyZNMufgAAAAAECSxeBu5Fw5cOCAJNlc+ggg986tbaeUS4du3xFwkOd9VVSy47q8LgMA4ELszQYueU8YAAAAAORXhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAA8hkjIz2vS8A9gu81IG+453UBAADAlsWtgC78MFapscfyuhS4MI+Aigpq+nZelwHckwhhAADkQ6mxx5Ry6VBelwEAuAO4HBEAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwETuudn58uXLunLliiwWi4oUKaIiRYo4qy4AAAAAcEk5CmFJSUnauHGj/vOf/2jv3r26cuWKzfYiRYqoRo0aat68uVq1aqVChQo5tVgAAAAAuNvZFcKuXLmiRYsWadWqVUpJSVFoaKgeffRRlSlTRn5+fjIMQ/Hx8Tpz5owOHTqkF198Ua+88op69uypIUOGKDAw8E4fBwAAAADcFewKYc2aNVPZsmX17LPPqmXLlrcNVZcvX9a3336rNWvWaPXq1dqzZ49TigUAAACAu51dIWzOnDl6+OGH7R40MDBQvXr1Uq9evfTjjz86XBwAAAAAuBq7VkfMSQBz5r4AAAAA4GpYoh4AAAAATOTwEvXHjx/X559/rjNnziguLk6GYdhst1gs+uijj3JdIAAAAAC4EodC2Nq1azVp0iS5u7srODhYfn5+Wfr8M5QBAAAAABwMYfPmzVPlypX1/vvvs/w8AAAAAOSAQyHs/PnzGjhwoNMD2MmTJ7V48WLt27dPR48eVfny5bVu3brb1rJ06VJt375dp06dkq+vr+rUqaPx48erVKlS1n67du1S3759s+zfpk0bvfXWW049DgAAAAC4GYdCWGhoqM6fP+/sWnT06FFFRkaqevXqysjIsOuSxkOHDmnz5s3q0qWLqlevritXrui9995Tt27dtG7duixB8bXXXlP58uWtr4sUKeL04wAAAACAm3EohD333HN66qmn1LhxY9WqVctpxTRr1kzNmze3vsfBgwdvu89DDz2kb775Ru7u/zuUWrVqqWnTplq7dq0GDhxo079SpUqqVq2a02oGAAAAgJxwKIS9//778vX1Ve/evVWxYkWVKFFCbm62q91bLBa99957ORr3n2PYI7tFQe6//34FBgbekbN1AAAAAJAbDoWwP/74Q5JUokQJXb16VceOHcvSx2Kx5K6yXDhx4oQuXbqkChUqZNk2dOhQxcbGKigoSG3bttVTTz0lb2/vPKgSAAAAwL3IoRC2ZcsWZ9fhNIZhaNq0aSpWrJjatm1rbff19dXgwYNVp04deXl5aefOnVqyZImioqK0cOHCXL9nUlJSbksHoBsf4BQsWDCvy8A9JDk5OV89VoU5ALPltzkA3M0Mw7DrZJTDD2vOr+bOnaudO3fqgw8+UKFChaztYWFhCgsLs76uX7++ihUrpqlTp2r//v0KDw93+D1TU1N1+PDhXNUN4IaCBQvazFXgTjtx4oSSk5Pzugwr5gDMlt/mAHC38/T0vG2fXIWw3bt364cfftC5c+ckSSVLllTTpk1Vt27d3AzrsDVr1mj+/Pl69dVXVb9+/dv2b926taZOnaqDBw/mKoR5eHioYsWKDu8P4H/y8lJm3JuCg4Pz1VkA5gDMlt/mAHA3y+42rew4FMJSUlL09NNP67vvvpNhGNbFMeLj4/Xhhx+qRYsWmj17tjw8PBwZ3iGbN2/WlClTNGbMGHXt2tW095Vu/ML8+1k3AMDdg0v/cK9jDgDOY+8HaTlfjlDS/PnztXnzZg0YMEDbtm3T7t27tXv3bm3fvl0DBw7Upk2bNH/+fEeGdsiuXbs0fvx4devWTSNHjrR7v/Xr10sSS9YDAAAAMI1DZ8IiIiLUqVMnPfvsszbt9913n5555hldunRJX3/9tcaOHZujcZOTkxUZGSlJOnv2rBITE7Vx40ZJUt26dRUYGKh+/frp3Llz2rx5syTp+PHjGjlypMqVK6cOHTro119/tY4XGBioBx54QJI0YcIElS1bVmFhYdaFOZYuXarmzZsTwgAAAACYxqEQduHChVveQxUeHm49y5QTly5d0lNPPWXTlvl62bJlqlevnjIyMpSenm7dvm/fPiUkJCghIUG9evWy2bdTp06aMWOGpBsPaY6IiNCSJUuUmpqqUqVKafjw4Ro6dGiO6wQAAAAARzkUwu6//37t3r07S+jJ9N///lf3339/jsctXbq0fv/991v2Wb58uc3rzp07q3Pnzrcde9iwYRo2bFiOawIAAAAAZ3LonrCOHTvqm2++0eTJkxUVFaX09HRlZGQoKipKL730kjZu3KhOnTo5u1YAAAAAuOs5dCZs+PDhOn36tNasWaNPP/1Ubm43slxGRoYMw1CnTp00fPhwpxYKAAAAAK7AoRBWoEABzZgxQ/3799fWrVt19uxZSVKpUqXUuHFjPfjgg04tEgAAAABchUMh7Ny5cwoMDNSDDz6YbeC6du2aLl++rJIlS+a6QAAAAABwJQ7dE/boo49al4jPzpYtW/Too486XBQAAAAAuCqHQphhGLfcnpqaar1PDAAAAADwP3ZfjpiYmKj4+Hjr69jYWJ07dy5Lv/j4eG3YsEFBQUHOqRAAAAAAXIjdIWzp0qWaP3++JMlisWj69OmaPn16tn0Nw9DYsWOdUiAAAAAAuBK7Q1jDhg1VqFAhGYah119/XW3btlWVKlVs+lgsFhUsWFBVqlRRtWrVnF4sAAAAANzt7A5hNWvWVM2aNSVJycnJeuyxxxQSEnLHCgMAAAAAV+TQEvWjRo1ydh0AAAAAcE+wawnDhQsXKjExMceDJyYmauHChTneDwAAAABclV0hbN26dXrkkUc0ZcoU7dq1S+np6Tftm5qaqp9++kkvvviimjZtqnXr1jmtWAAAAAC429l1OeLXX3+tiIgILVmyRKtWrZKnp6cqVaqk0qVLy9/fX4ZhKC4uTmfOnNHRo0eVlpamkJAQvfjii2rfvv2dPgYAAAAAuGvYFcIsFovat2+v9u3b67ffftN3332nX3/9Vfv27VNsbKwkKSAgQOXLl9eQIUP06KOPZlk5EQAAAADgwMIcYWFhCgsLuxO1AAAAAIDLs+ueMAAAAACAcxDCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARE4JYefOndOff/5p07Zv3z5nDA0AAAAALiXXIezzzz/Xo48+qubNm2vWrFkyDEOSNHv27FwXBwAAAACuJtchbOnSpfryyy/12Wefafv27XrqqaeUkZFhDWMAAAAAgP/JdQjz9/fXgw8+qMqVK+uTTz5RYmKinn32WWfUBgAAAAAuJ9chLC0tTenp6ZIkHx8fLViwQJcuXdLevXtzXRwAAAAAuJpch7DevXvrr7/+sr729PTUggUL1L9//9wODQAAAAAuxz23Azz++ONZ2ry8vDRhwoTcDg0AAAAALsehELZ//359//33On78uK5evarChQurQoUKeuSRRxQeHu7sGgEAAADAZeQohF2+fFnPPfecfvzxx2xXP1ywYIEefvhhzZgxQ4GBgU4rEgAAAABchd0hLDk5Wf369dPx48fVqVMndezYUQ8++KAKFy6sq1ev6vfff9eXX36ptWvXqn///lqzZo28vb3vZO0AAAAAcNexO4QtWbJEx48f17vvvqumTZvabPPz81OdOnVUp04dPfbYY3ryySf14YcfasSIEc6uFwAAAADuanavjrhx40Y9/vjjWQLYPzVt2lSPP/64NmzYkNvaAAAAAMDl2B3CTp8+rdq1a9vVt3bt2jp9+rTDRQEAAACAq7I7hHl4eCg5OdmuvteuXZOHh4fDRQEAAACAq7I7hIWGhmrz5s129d20aZNCQkIcLgoAAAAAXJXdIaxr167673//qzfeeEMZGRnZ9jEMQ7Nnz9bPP/+sbt26Oa1IAAAAAHAVdq+O2LFjR/3www/64IMPtGXLFrVr106hoaE2S9SvW7dOUVFRatmypTp27HgHywYAAACAu1OOHtb85ptvqnLlylqyZInmzJkji8Vi3WYYhvz8/DR27FgNHTrU6YUCAAAAgCvIUQhzc3PTsGHD1L9/f/3yyy86duyYrl69qsKFC6tChQp66KGHeEAzAAAAANxCjkJYJi8vLzVo0EANGjRwdj0AAAAA4NLsXpgjISFBgwYN0oIFC27Z77333tPgwYN19erVXBcHAAAAAK7G7hD28ccfa+/everevfst+3Xv3l179+7VJ598kuviAAAAAMDV2B3CNm/erLZt2yowMPCW/e677z61bdtWmzZtynVxAAAAAOBq7A5hJ06cUNWqVe3qW6VKFR0/ftzhogAAAADAVdkdwgzDyNHAOe0PAAAAAPcCu0NYiRIldOjQIbv6Hjp0SCVKlHC4KAAAAABwVXaHsKZNm+rrr79WdHT0LftFR0fr66+/VtOmTXNczMmTJzV58mR16NBBYWFhateunV37GYahRYsWqWnTpgoPD1ePHj3066+/ZukXExOj0aNHq2bNmqpbt66ef/55JSYm5rhOAAAAAHCU3SFs8ODB8vb21v/93/9pw4YNSktLs9melpamDRs2qG/fvvL29tagQYNyXMzRo0cVGRmpsmXLqkKFCnbv9/7772vOnDnq37+/Fi5cqKCgIA0cOFCnT5+29klNTdXgwYMVHR2t2bNna8qUKdq2bZuefvrpHNcJAAAAAI6y+2HN9913nxYtWqRRo0bp6aeflre3t8qVK6fChQvr6tWrio6O1rVr11S0aFEtWrRIRYsWzXExzZo1U/PmzSVJzz33nA4ePHjbfa5fv66FCxdq4MCB6t+/vyTpoYceUqtWrbR48WJNmTJFkvTtt9/q6NGj2rBhg8qXLy9J8vPz06BBg7R//36Fh4fnuF4AAAAAyCm7Q5gkhYeHa/369Vq5cqW+//57RUVFKTExUT4+PgoNDVWzZs3Us2dP+fn5OVSMm5vdJ+as9uzZo8TERLVu3dra5unpqRYtWmjz5s3Wtq1btyo0NNQawCSpYcOGCggIUGRkJCEMAAAAgClyFMIkydfXV0OHDtXQoUPvRD05FhUVJUk24UqSKlSooI8++kjXrl2Tt7e3oqKisvSxWCwKDg62jgEAAAAAd1qOQ1h+Ex8fL09PT3l5edm0+/n5yTAMxcXFydvbW/Hx8fL19c2yv7+/v+Li4nJVg2EYSkpKytUYAG6wWCwqWLBgXpeBe0hycnK+eqwKcwBmy29zALibGYYhi8Vy2353fQjLD1JTU3X48OG8LgNwCQULFlRYWFhel4F7yIkTJ5ScnJzXZVgxB2C2/DYHgLudp6fnbfvc9SHMz89PKSkpun79us3ZsPj4eFksFvn7+1v7ZbccfVxcXK6faebh4aGKFSvmagwAN9jz6RHgTMHBwfnqLABzAGbLb3MAuJsdO3bMrn53fQjLvM/rxIkTevDBB63tUVFRKlmypLy9va39/vjjD5t9DcPQiRMn1LBhw1zVYLFYVKhQoVyNAQDIG1z6h3sdcwBwHns/SMv5coT5TK1ateTj46NvvvnG2paamqpNmzapcePG1rbGjRvryJEjNg+b3rFjh2JjY9WkSRMzSwYAAABwD8tXZ8KSk5MVGRkpSTp79qwSExO1ceNGSVLdunUVGBiofv366dy5c9bl5728vDRs2DDNnTtXgYGBCgkJ0cqVKxUbG2vzwOiWLVtq4cKFGj16tMaPH6/k5GTNmjVLTZs2ZXl6AAAAAKZxOISdO3dOCxYs0K5du3TlyhXNnz9fderU0eXLl/Xuu++qc+fOOb6x+NKlS3rqqads2jJfL1u2TPXq1VNGRobS09Nt+gwZMkSGYWjJkiW6fPmyKleurMWLF6tMmTLWPh4eHvrggw80bdo0jR8/Xu7u7mrRooUmTZrk4FcAAAAAAHLOoRB27Ngx9e7dWxkZGQoPD9epU6eUlpYmSQoMDNQvv/yipKQkTZ8+PUfjli5dWr///vst+yxfvjxLm8Vi0bBhwzRs2LBb7lu8eHHNnTs3RzUBAAAAgDM5FMJef/11+fr6as2aNZKkBg0a2Gxv0qSJzT1aAAAAAIAbHFqY47///a969eqlwMDAbFcAKVmypGJiYnJdHAAAAAC4GodCmGEY1qXfs3P58mW7HlIGAAAAZMfISL99J8AJ8uJ7zaHLEcPCwhQZGanevXtn2ZaWlqb169erevXquS4OAAAA9yaLWwFd+GGsUmPte/gt4AiPgIoKavq26e/rUAgbOnSohg8frpdeeklt27aVdGNlw59++kkLFixQVFSUJk+e7NRCAQAAcG9JjT2mlEuH8roMwOkcCmFNmjTRa6+9punTp1sX53jmmWdkGIZ8fHw0c+ZM1alTx6mFAgAAAIArcPg5YR07dtRjjz2m7du36+TJk8rIyNADDzygRo0aycfHx5k1AgAAAIDLcDiESVKhQoXUokULZ9UCAAAAAC7PrhB27tw5hwYvWbKkQ/sBAAAAgKuyK4Q1a9Ys2+eB3c7hw4dzvA8AAAAAuDK7Qtj06dNtQlhGRoaWLVumc+fO6fHHH1dwcLAkKSoqSuvWrVOpUqXUp0+fO1MxAAAAANzF7AphnTt3tnn93nvv6fr169q0aZOKFClis2306NHq1auXLl686LwqAQAAAMBFuDmy06pVq9SjR48sAUySAgMD1b17d61cuTLXxQEAAACAq3EohMXGxio5Ofmm25OTkxUbG+toTQAAAADgshwKYdWrV9dHH32kgwcPZtl24MABLV++XOHh4bkuDgAAAABcjUPPCZs8ebL69Omjbt26qXr16ipXrpwkKTo6Wvv27ZO/v79efPFFZ9YJAAAAAC7BoRBWsWJFRUREaNGiRdq6das2bNgg6cZzwfr27avBgwcrKCjIqYUCAAAAgCtwKIRJUtGiRTVp0iRNmjTJmfUAAAAAgEtz6J4wAAAAAIBjCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAih0LYjh079MEHH9i0ffbZZ2ratKkaNGig6dOnKz093SkFAgAAAIArcSiEzZ07V0eOHLG+/v333/XSSy8pMDBQdevW1fLly7V48WKnFQkAAAAArsKhEHb8+HFVrVrV+vqrr76Sj4+PPvnkE7399tvq1q2bvvrqK6cVCQAAAACuwqEQlpycLB8fH+vrH3/8UY0aNVLBggUlSdWqVdO5c+ecUyEAAAAAuBCHQliJEiV04MABSdLJkyd19OhRNWrUyLo9Li5Onp6ezqkQAAAAAFyIuyM7Pf7445o/f75iYmJ07Ngx+fv769FHH7VuP3TokMqVK+esGgEAAADAZTgUwoYPH67U1FRFRkaqRIkSmjFjhvz8/CRJsbGx2r17t/r27evUQgEAAADAFTgUwtzd3TVu3DiNGzcuy7aAgABt374914UBAAAAgCvK9cOaz58/ryNHjigpKckZ9QAAAACAS3M4hH333Xdq1aqVmjRpok6dOmnfvn2SpMuXL6tjx47avHmz04oEAAAAAFfhUAjbsmWLRo8erSJFimjkyJEyDMO6LTAwUMWLF9cXX3zhtCIBAAAAwFU4FMLmz5+v2rVra+XKlerdu3eW7TVq1NDhw4dzXRwAAAAAuBqHQtjRo0fVunXrm24vWrSoLl265HBRAAAAAOCqHAphBQsWVHJy8k23nz59WgEBAY7WBAAAAAAuy6EQVq9ePa1du1ZpaWlZtl24cEFr1qxRo0aNcl0cAAAAALgah0LY2LFj9ddff6lr165avXq1LBaLtm3bprfeekuPP/64DMPQyJEjnV0rAAAAANz1HAph5cuX14oVKxQQEKB33nlHhmFo8eLFWrhwoUJCQrRixQqVLl3a2bUCAAAAwF3P3dEdK1WqpKVLlyouLk4nT56UYRgqU6aMAgMDnVkfAAAAALgUh0NYJn9/f4WHhzujFgAAAABweQ6HsMTERC1dulQ//PCDzp07J0kqWbKkmjZtqv79+8vHx8dpRQIAAACAq7DrnrBly5ZZg5YkxcTEqGPHjpo3b56SkpJUq1Yt1apVS8nJyZo3b546deqk8+fP37GiAQAAAOBuZdeZsKNHj+q9995TZGSkPD099cYbb+jixYtauHChmjRpYtM3MjJSY8eO1ezZszVz5sw7UjQAAAAA3K3sOhM2ePBgxcXF6erVq5KkH3/8Uf369csSwCSpSZMm6tOnjyIjI51bKQAAAAC4ALtC2MSJE9WiRQsVKVJEkpScnKz77rvvpv2LFi2q5ORk51QIAAAAAC7ErhB29OhRlSlTRhkZGZKkChUqaP369UpJScnSNzU1VevXr1eFChUcKuj48eMaMGCAatSooYYNG2rWrFnZvs/f7dq1S6Ghodn+16pVq9v2GzdunEO1AgAAAEBO2XVP2CuvvKLFixcrJiZGJUqU0JAhQzRu3Dh169ZNTzzxhMqVKydJOnHihFatWqXff/9db731Vo6LiYuLU79+/VSuXDnNnTtXMTExmjFjhq5du6bJkyffdL8qVapo9erVNm2JiYkaMmSIGjdunKX/a6+9pvLly1tfZ57hAwAAAIA7za4Q1qpVK5szSq1bt1ZycrJmz56tl156SRaLRZJkGIbuu+8+TZ8+3aa/vVatWqWrV69q3rx5CggIkCSlp6fr5Zdf1rBhw1S8ePFs9/Px8VGNGjVs2r744gtlZGSoXbt2WfpXqlRJ1apVy3F9AAAAAJBbDj8nrHPnzmrfvr0OHjxo85ywqlWryt3dsWG3bt2q+vXrWwOYdCPwvfTSS9q+fbs6d+5s91jr1q1TuXLleJA0AAAAgHzF4RAmSe7u7qpRo0aWs1COioqKUpcuXWza/Pz8FBQUpKioKLvHuXjxonbu3KkRI0Zku33o0KGKjY1VUFCQ2rZtq6eeekre3t65qh0AAAAA7OFQCDt8+LCOHz9uc6nfjz/+qAULFiglJUXt2rVTv379cjxufHy8/Pz8srT7+/srLi7O7nE2bNig9PT0LJci+vr6avDgwapTp468vLy0c+dOLVmyRFFRUVq4cGGO681kGIaSkpIc3h/A/1gsFhUsWDCvy8A9JDk5WYZh5HUZVswBmC2/zQGJeQDzOWseGIZhvVXrVhwKYa+//rq8vb2tIef06dMaNWqUAgICVKxYMc2YMUPe3t7q0aOHI8PnWkREhKpUqaLg4GCb9rCwMIWFhVlf169fX8WKFdPUqVO1f/9+hy9dTE1N1eHDh3NVM4AbChYsaDNPgTvtxIkT+eqxKswBmC2/zQGJeQDzOXMeeHp63raPQyHsyJEjGjRokPX1V199JTc3N3355ZcKDAzU2LFjtWrVqhyHMD8/PyUkJGRpj4uLk7+/v11jnDp1Svv379fEiRPt6t+6dWtNnTpVBw8edDiEeXh4qGLFig7tC8CWPZ8eAc4UHBycr84CMAdgtvw2ByTmAcznrHlw7Ngxu/o5FMISEhJsFs+IjIxUw4YNFRgYKElq2LChtm7dmuNxy5cvn+Xer4SEBF24cMFmSflbiYiIkJubm9q0aZPj93eUxWJRoUKFTHs/AIDzcMkT7nXMAcB588DeDxDseljzPwUFBen48eOSpPPnz+vQoUNq2LChdfvVq1fl5pbzoRs3bqyffvpJ8fHx1raNGzfKzc3NZvxbWb9+verWratixYrZ3V8SS9YDAAAAMIVDZ8IeffRRffzxx0pJSdG+ffvk6empFi1aWLf//vvvKlOmTI7H7dmzp5YvX66RI0dq2LBhiomJ0axZs9SzZ0+bZ4T169dP586d0+bNm232/+2333T8+HENGDAg2/EnTJigsmXLKiwszLowx9KlS9W8eXNCGAAAAABTOBTCxo4dq8uXL+urr76Sr6+vXnvtNRUtWlSSlJiYqI0bN6p37945Htff318fffSRXnnlFY0cOVKFCxdW165dNW7cOJt+GRkZSk9Pz7J/RESEPD091bJly2zHr1SpkiIiIrRkyRKlpqaqVKlSGj58uIYOHZrjWgEAAADAERbDyXdiZmRk6OrVq/L29paHh4czh86XDhw4IInLGQFnO7e2nVIuHcrrMuDCPO+ropId1+V1GTfFHMCdlt/ngMQ8wJ3n7HlgbzbI1cOa/yklJUVpaWny9fV15rAAAAAA4DIcWphj/fr1mj59uk3bvHnzVKtWLdWpU0cjR47U1atXnVIgAAAAALgSh0LYkiVLbB5mtmfPHs2bN0+NGjVSv3799OOPP2rBggVOKxIAAAAAXIVDlyOePn1anTp1sr5et26dihYtqnnz5snd3V2GYWjTpk16+umnnVYoAAAAALgCh86EpaSkyMvLy/p6+/btaty4sdzdb2S6ChUq6K+//nJOhQAAAADgQhwKYaVLl9ZPP/0k6cYKICdPntTDDz9s3X7p0iUVKlTIORUCAAAAgAtx6HLEHj166NVXX9WxY8cUExOj+++/X4888oh1+549e1SxYkWnFQkAAAAArsKhENanTx95eXkpMjJSVatW1eDBg+Xt7S1Jio2N1YULF9SrVy+nFgoAAAAArsDh54R1795d3bt3z9IeEBCgL774IldF3cuMjHRZ3ArkdRm4B/C9BgAAkDec+rBm5J7FrYAu/DBWqbHH8roUuDCPgIoKavp2XpcBAABwT7IrhPXp00dubm5avHix3N3d1bdv39vuY7FY9NFHH+W6wHtRauwxpVw6lNdlAAAAALgD7D4TlpGRYf23YRi37W9PHwAAAAC419gVwpYvX37L1wAAAAAA+zj0nDAAAAAAgGNytTBHamqqYmJiFB8fn+3lh1WqVMnN8AAAAADgchwKYfHx8Zo5c6YiIiKUmpqaZbthGLJYLDp8+HCuCwQAAAAAV+JQCHvuuef0/fffq02bNqpevbp8fX2dXRcAAAAAuCSHQtj27dvVp08fTZo0ydn1AAAAAIBLc2hhjoCAAJUtW9bZtQAAAACAy3MohHXv3l3r16+3eXYYAAAAAOD2HLocceTIkUpJSVGXLl3UoUMHFS9eXAUKFMjS77HHHst1gQAAAADgShwKYTExMdq1a5cOHz580xUQWR0RAAAAALJyKIRNmjRJhw4d0rBhwxQeHs7qiAAAAABgJ4dC2C+//KIhQ4ZozJgxzq4HAAAAAFyaQwtzFC1aVP7+/s6uBQAAAABcnkMhbMCAAfrss8909epVZ9cDAAAAAC7NocsRU1JS5O7urscee0ytW7fW/fffn2V1RIvFov79+zujRgAAAABwGQ6FsJkzZ1r//fHHH2fbhxAGAAAAAFk5FML+85//OLsOAAAAALgnOBTCSpUq5ew6AAAAAOCeYPfCHPv371dsbKxdfU+fPq21a9c6WBIAAAAAuC67Q1iPHj30448/Wl/HxsaqevXq2r17d5a+e/fu1cSJE51TIQAAAAC4ELtDmGEYWV5fv35d6enpTi8KAAAAAFyVQ88JAwAAAAA4hhAGAAAAACYihAEAAACAiXK0RP3Zs2d16NAhSVJCQoIk6eTJk/Lz87Ppd+bMGSeVBwAAAACuJUch7J133tE777xj0/byyy9n6WcYhiwWS+4qAwAAAAAXZHcIe+211+5kHQAAAABwT7A7hHXq1OlO1gEAAAAA9wQW5gAAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATued1Af90/PhxTZs2TXv37lXhwoXVoUMHjR07Vp6enrfcr1mzZjp79myW9v3798vLy8v6OiYmRtOmTdO2bdvk4eGhFi1aaOLEifLx8XH6sQAAAADAP+WrEBYXF6d+/fqpXLlymjt3rmJiYjRjxgxdu3ZNkydPvu3+LVu21MCBA23a/h7eUlNTNXjwYEnS7Nmzde3aNc2cOVNPP/20Fi5c6NyDAQAAAIBs5KsQtmrVKl29elXz5s1TQECAJCk9PV0vv/yyhg0bpuLFi99y/6JFi6pGjRo33f7tt9/q6NGj2rBhg8qXLy9J8vPz06BBg7R//36Fh4c761AAAAAAIFv56p6wrVu3qn79+tYAJkmtW7dWRkaGtm/f7pTxQ0NDrQFMkho2bKiAgABFRkbmenwAAAAAuJ18FcKioqJsApJ040xVUFCQoqKibrt/RESEqlatqpo1a2rIkCH6/fffbzu+xWJRcHCwXeMDAAAAQG7lq8sR4+Pj5efnl6Xd399fcXFxt9y3WbNmCg8PV8mSJXX69GktWLBATzzxhNauXasyZcpYx/f19XVo/FsxDENJSUkO75/JYrGoYMGCuR4HsFdycrIMw8jrMmwwD2C2/DYPmAMwW36bAxLzAOZz1jwwDEMWi+W2/fJVCMuNF154wfrv2rVrq2HDhmrdurUWL16sKVOm3NH3Tk1N1eHDh3M9TsGCBRUWFuaEigD7nDhxQsnJyXldhg3mAcyW3+YBcwBmy29zQGIewHzOnAe3W9VdymchzM/PTwkJCVna4+Li5O/vn6OxihUrpoceekiHDh2yGT8xMTHb8UuUKJHzgv8/Dw8PVaxY0eH9M9mTmgFnCg4OzpeffgJmym/zgDkAs+W3OSAxD2A+Z82DY8eO2dUvX4Ww8uXLZ7k3KyEhQRcuXMhyL5ej4//xxx82bYZh6MSJE2rYsKHD41osFhUqVCi35QGm41IPgHkAMAcA580Dez9AyFcLczRu3Fg//fST4uPjrW0bN26Um5tbjkNSTEyMfvnlF1WrVs1m/CNHjig6OtratmPHDsXGxqpJkya5rh8AAAAAbidfnQnr2bOnli9frpEjR2rYsGGKiYnRrFmz1LNnT5tnhPXr10/nzp3T5s2bJUnr1q3T999/ryZNmqhYsWI6ffq0Fi1apAIFCmjAgAHW/Vq2bKmFCxdq9OjRGj9+vJKTkzVr1iw1bdqUZ4QBAAAAMEW+CmH+/v766KOP9Morr2jkyJEqXLiwunbtqnHjxtn0y8jIUHp6uvV16dKldf78eU2fPl0JCQny9fXVv/71L40ZM8a6MqJ0496tDz74QNOmTdP48ePl7u6uFi1aaNKkSaYdIwAAAIB7W74KYZJUoUIFLV269JZ9li9fbvO6Ro0aWdpupnjx4po7d66j5QEAAABAruSre8IAAAAAwNURwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABM5J7XBfzT8ePHNW3aNO3du1eFCxdWhw4dNHbsWHl6et50n/Pnz2vp0qXavn27Tp06JV9fX9WpU0fjx49XqVKlrP127dqlvn37Ztm/TZs2euutt+7I8QAAAADA3+WrEBYXF6d+/fqpXLlymjt3rmJiYjRjxgxdu3ZNkydPvul+hw4d0ubNm9WlSxdVr15dV65c0Xvvvadu3bpp3bp1CgwMtOn/2muvqXz58tbXRYoUuWPHBAAAAAB/l69C2KpVq3T16lXNmzdPAQEBkqT09HS9/PLLGjZsmIoXL57tfg899JC++eYbubv/73Bq1aqlpk2bau3atRo4cKBN/0qVKqlatWp37DgAAAAA4Gby1T1hW7duVf369a0BTJJat26tjIwMbd++/ab7+fn52QQwSbr//vsVGBio8+fP36lyAQAAACDH8lUIi4qKsrlMULoRsIKCghQVFZWjsU6cOKFLly6pQoUKWbYNHTpUlStXVuPGjTVz5kxdu3YtV3UDAAAAgL3y1eWI8fHx8vPzy9Lu7++vuLg4u8cxDEPTpk1TsWLF1LZtW2u7r6+vBg8erDp16sjLy0s7d+7UkiVLFBUVpYULFzpct2EYSkpKcnj/TBaLRQULFsz1OIC9kpOTZRhGXpdhg3kAs+W3ecAcgNny2xyQmAcwn7PmgWEYslgst+2Xr0KYs8ydO1c7d+7UBx98oEKFClnbw8LCFBYWZn1dv359FStWTFOnTtX+/fsVHh7u0Pulpqbq8OHDua67YMGCNvUBd9qJEyeUnJyc12XYYB7AbPltHjAHYLb8Ngck5gHM58x5cKtV3TPlqxDm5+enhISELO1xcXHy9/e3a4w1a9Zo/vz5evXVV1W/fv3b9m/durWmTp2qgwcPOhzCPDw8VLFiRYf2/Tt7UjPgTMHBwfny00/ATPltHjAHYLb8Ngck5gHM56x5cOzYMbv65asQVr58+Sz3fiUkJOjChQtZ7hXLzubNmzVlyhSNGTNGXbt2vVNlZmGxWGzOuAF3Cy71AJgHAHMAcN48sPcDhHy1MEfjxo31008/KT4+3tq2ceNGubm5qWHDhrfcd9euXRo/fry6deumkSNH2v2e69evlySWrAcAAABginx1Jqxnz55avny5Ro4cqWHDhikmJkazZs1Sz549bZ4R1q9fP507d06bN2+WJB0/flwjR45UuXLl1KFDB/3666/WvoGBgXrggQckSRMmTFDZsmUVFhZmXZhj6dKlat68OSEMAAAAgCnyVQjz9/fXRx99pFdeeUUjR45U4cKF1bVrV40bN86mX0ZGhtLT062v9+3bp4SEBCUkJKhXr142fTt16qQZM2ZIuvGQ5oiICC1ZskSpqakqVaqUhg8frqFDh975gwMAAAAA5bMQJkkVKlTQ0qVLb9ln+fLlNq87d+6szp0733bsYcOGadiwYbkpDwAAAAByJV/dEwYAAAAAro4QBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYQAAAABgIkIYAAAAAJiIEAYAAAAAJiKEAQAAAICJCGEAAAAAYCJCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGCifBfCjh8/rgEDBqhGjRpq2LChZs2apZSUlNvuZxiGFi1apKZNmyo8PFw9evTQr7/+mqVfTEyMRo8erZo1a6pu3bp6/vnnlZiYeAeOBAAAAACyylchLC4uTv369VNqaqrmzp2rcePGac2aNZoxY8Zt933//fc1Z84c9e/fXwsXLlRQUJAGDhyo06dPW/ukpqZq8ODBio6O1uzZszVlyhRt27ZNTz/99J08LAAAAACwcs/rAv5u1apVunr1qubNm6eAgABJUnp6ul5++WUNGzZMxYsXz3a/69eva+HChRo4cKD69+8vSXrooYfUqlUrLV68WFOmTJEkffvttzp69Kg2bNig8uXLS5L8/Pw0aNAg7d+/X+Hh4Xf6EAEAAADc4/LVmbCtW7eqfv361gAmSa1bt1ZGRoa2b99+0/327NmjxMREtW7d2trm6empFi1aaOvWrTbjh4aGWgOYJDVs2FABAQGKjIx07sEAAAAAQDbyVQiLioqyCUjSjTNVQUFBioqKuuV+krLsW6FCBZ07d07Xrl276fgWi0XBwcG3HB8AAAAAnCVfXY4YHx8vPz+/LO3+/v6Ki4u75X6enp7y8vKyaffz85NhGIqLi5O3t7fi4+Pl6+ub4/FvJTU1VYZhaP/+/Q7t/08Wi0XppSZIJVKdMh6QLTcPXTpwQIZh5HUl2WIewBT5eB4wB2CKfDwHJOYBTOLkeZCamiqLxXLbfvkqhN2NMr/I9nyx7VXA+z6njQXcijO/b52NeQCz5Nd5wByAWfLrHJCYBzCPs+aBxWK5+0KYn5+fEhISsrTHxcXJ39//lvulpKTo+vXrNmfD4uPjZbFYrPv6+flluxx9XFycSpQo4VDNNWvWdGg/AAAAAPemfHVPWPny5bPcm5WQkKALFy5kuZfrn/tJ0okTJ2zao6KiVLJkSXl7e990fMMwdOLEiVuODwAAAADOkq9CWOPGjfXTTz8pPj7e2rZx40a5ubmpYcOGN92vVq1a8vHx0TfffGNtS01N1aZNm9S4cWOb8Y8cOaLo6Ghr244dOxQbG6smTZo492AAAAAAIBsWIx/djRkXF6e2bdsqODhYw4YNU0xMjGbMmKHHH39ckydPtvbr16+fzp07p82bN1vbFi1apLlz52rChAkKCQnRypUrtW3bNn311VcqU6aMpBvBrHPnzpKk8ePHKzk5WbNmzVJoaKgWLlxo7sECAAAAuCflqxAmScePH9crr7yivXv3qnDhwurQoYPGjRsnT09Pa58+ffro7Nmz2rJli7XNMAwtWrRIK1as0OXLl1W5cmVNnDgxyz1bMTExmjZtmrZt2yZ3d3e1aNFCkyZNko+Pj2nHCAAAAODele9CGAAAAAC4snx1TxgAAAAAuDpCGAAAAACYiBAGAAAAACYihAEAAACAiQhhAAAAAGAiQhgAAAAAmIgQBgAAAAAmIoQBAAAAgIkIYXBpPIscYB4AAJDfEMLg0iwWiyQpPT09jysB8g7zAPc6PogA/icjIyOvS4Ak97wuAHC25ORkffXVVzp//rwCAwPVokULFS9ePK/LAkyVlJSkNWvW6OLFiypSpIjatGmjEiVK5HVZgKlSUlJ0+fJl3X///TIMw/qBBHCvuH79unbs2KHo6GgVKVJEDz/8sAIDA5WRkSE3N87F5CWLwcdDcCGJiYnq3r27ChQooMTERElSQkKCxo0bpxYtWqhYsWJ5XCFw5129elVdunRRoUKFlJycrPT0dF24cEHjx49Xy5YtmQe4JyQlJalfv37y9vbWtGnTVLZsWYIY7imJiYnq16+frl+/rrNnz8rT01NBQUFasmSJihUrxnzIY0RguIz09HS98MIL8vPz0zvvvKONGzfq3Xff1cMPP6zp06frgw8+UHR0dF6XCdxxb7zxhgoXLqx3331XX331lT766CN169ZNr776qhYtWqSTJ0/mdYnAHZWSkqKJEyfqwIEDOnfunN544w1FR0fLYrFwaSLuCdeuXdOQIUMUEBCg1157Tdu2bdPzzz+v1NRUzZw5UykpKQSwPMbliHAZV69eVXR0tJo3b67y5ctLkkJDQzVhwgTFxcXp008/VYECBTRgwADOBMBlGYahv/76S6Ghobr//vslSSVKlNCkSZN0//336+2331ZGRoaGDRvGZbpwWTt27NDPP/+s4cOHy9vbW1988YXeeOMNTZgwQeXKleMMAFyaYRhas2aNMjIyNGbMGIWFhalAgQJq37699u7dq23btiklJUWenp55Xeo9jTNhcBmenp6yWCy6dOmStc3NzU2lSpVSaGiokpOT9fHHH2v79u2SuDEVrsliscjb21tHjx61tqWlpUmSBg4cqHHjxmnFihVav369JOYBXJOnp6caN26sJ598UsOHD1fXrl31xx9/cEYM94w//vhDXl5eqlKligoUKGD9PdC+fXtdvHhRx44dy+MKQQiDy/D09FRwcLB+/PFH/fLLLza/YEuVKqUBAwaoS5cuev3113X58mVuSIVLMQzDuvph3bp1deHCBUVERCgjI0Pu7u7WX8ADBgzQwIEDNWfOHJ0+fZp5AJeS+XO/bt26mjJlivWT/qFDh6pbt25ZghjgajIyMmSxWDRx4kS9+uqrcnd3l2EYcne/cfGbr6+vUlNTlZKSku2+MA+/fXFXy/yFaxiG3Nzc9MILLyg9PV1Tp07VN998o7Nnz2rPnj2aNWuWChcurDFjxigoKIhPgOByLBaLChQoIEnq2LGjAgMDtWDBAu3fv9/6CzgziA0ePFhlypTRmjVrZBgGZwTgMjKDVYECBeTl5SXDMKx/WA4ZMsQmiJ0+fVqSdPr0aUVFReVZzYAzZX6wVrhwYZUpUybLpbeBgYHy9vZWQkKCtS05OVkJCQl8KGcy7gnDXSk5OVnnzp1ThQoVrD9g0tPTFRgYqOXLl2v48OF6+eWXlZGRoaSkJLVr106jRo2SJF24cEHR0dGqW7duHh8FkDvJyclatWqVjh8/rmvXrql///6qUKGCChYsqPfee0/du3fX9OnT9cILL6hq1arWT0IDAwNVuHBhXbhwgbMBuOtlNw9CQ0Pl4eEhi8Uii8ViXY57yJAhMgxDn332mWbOnKnevXtr6dKlOnHihL766isVLFgwrw8HyLHbzYG/8/f3l7u7u+Li4iTdWEFx8uTJ+u2337Ru3ToVKFCA3wsmIYThrpOcnKy2bdvq3Llz+vTTT1WtWjUZhqECBQooIyNDpUuX1ueff64dO3bo4sWLCggIUPPmzWUYhg4cOKCgoCCFhITk9WEAuZKYmKgnnnjC+ml/YmKiBg4cqJkzZ+qRRx5R8eLFtWjRIg0ZMkTPP/+8Ro0apZYtW1r3LVy4sPVZMZl/qAJ3m9vNg8zw5ebmZv330KFDZbFYtGbNGo0cOVIFChTQkiVLCGC4K9k7B6QblxumpaXJYrEoLS1NGRkZmjVrliIjI/Xhhx9aP6iDOXhOGO4qqampmjp1qr7//nsVKlRIsbGx+uCDDxQeHm5zRizzsqy/i4mJ0TvvvKNffvlFy5YtY2U43LVSUlI0bNgwSdKUKVNUvHhxpaSkaNy4cTp9+rTNJ/p//vmnhg0bpsTERAUHB6tq1ao6evSodu/erdWrV6tChQp5eSiAw3IyDzJl/p6IiYlRnz59FBsbq08++USVKlXKi0MAciWncyAtLU2GYahFixbq1auXLly4oE8//VQrV65UWFhYXh3GPYuLP3FXOXTokNatW6dHH31UM2fOVFhYmAYNGqT9+/dbV7vKLoDt3LlTU6dO1ZYtW/TOO+8QwHBX++GHH3T+/HkNGjRIDzzwgLy9veXn56e+ffvq4sWLOnDggKQbz84rUaKEVq1apV69esnNzU3btm2Tm5ubVqxYQQDDXc3eefB3FotF58+f14svvqi//vpLH3/8MQEMd62czgF3d3d5eHgoMDBQc+bM0eeff64VK1YQwPIIIQx3lRo1aqhXr16aMGGCatasqaefflqVK1fWwIEDtW/fvmyXHc5clCAkJESffPKJHnzwwTyqHnCOq1evqlKlSqpTp47N93zNmjWVnp5uXXCgQIECSk9PV6FChTRkyBC9//77Wrlypd566y0uycVdz9558E9ubm4KCgrSihUrmAe4q+V0DmSuouvu7q709HR9+umnqlKlSl6UDnE5Iu4iN7vM8NChQ5o5c6Z+++03LV68WNWrV7duS0tLsy7PmpaWJg8PDzNLBu6I+Ph4JSYmqmTJktbr/VNTU5WRkaFWrVpp+PDh6tGjh7U/D6aFK8rpPPg7HlQLV5DTOZDZJzExUZcvX9YDDzyQh9WDM2HI19LT05WQkKBr165ZP+HJfBZS5usqVaro3//+t82lidKNZYc3bNigP//8UxaLhQCGu9bf50FKSor8/Px0//33S/rfcsTu7u7y8vJS4cKFFRMTY903OTlZv/zyi+Lj4/OkdsBZcjsPfv75Z8XGxkoSAQx3pdzOgT179ujy5cvy8fEhgOUDLIOCfCsxMVHPPPOMzp8/r8TERNWqVUt9+vSxXrv892WHq1SpomeffVavv/66Bg4cqOnTp+urr77S4cOHtWrVqjw+EsBxt5sHmTLPdLm7u1sDV2JioqZOnap9+/YxD3BXYx7gXscccD2cCUO+dO3aNfXq1UsJCQnq1KmTmjRpoqNHj6p79+5au3at9aGzbm5u1jNiVatW1b///W+FhoZqzJgx2rlzp+bOnatixYrl5aEADrN3Hkiy/jswMFBpaWlKS0vTjBkztHnzZr3xxhsqUqRIXh0GkCvMA9zrmAOuiTNhyJd27Nih9PR0vfzyy9YV3KKiovTRRx9p0qRJio2NVe/evbM8iNDHx0cWi0V+fn5asWKFKlasmFeHAORaTuZB5qUoPj4++uuvv/Tyyy/r66+/1qpVq1j5Cnc15gHudcwB10QIQ74UHx+vU6dO2Tzfonz58nruuefk5+enWbNmycfHR127drVeknjlyhW98cYbOnTokFauXEkAw10vJ/Mgk4+Pj7744gsVKlSIX7pwCcwD3OuYA66JyxGRr2RkZEiSihcvroCAAO3bt89myfmCBQtq5MiR6tmzp6ZMmaIDBw5YP/UpUqSIQkJCtGLFCpahx13N0XlgGIYqVqyo4OBgrVmzhl+6uKsxD3CvYw64NpaoR75y/fp1eXl5SZK6deumtLQ0LV68WIGBgdYzXtKNlQ///e9/q0iRInrzzTfl7u6e7fL1wN3IkXkwe/ZseXt7Ky4uTikpKQoKCsrLQwByjXmAex1zwLVxJgx5LikpSfPnz9eYMWM0btw468o9r776qmJiYvTss88qLS3NZhGOMmXK6OGHH9Zvv/2m69evE8Bw13PGPJAkf39/funirsU8wL2OOXDvIIQhT129elXdu3dXZGSkkpOTFR8frylTpmjRokUKCQnRiy++qH379mnEiBGKi4uzWYQjODhYBQoUUHJych4eAZB7zpgH165dy8MjAHKPeYB7HXPg3sLCHMgzKSkpevrpp1WsWDG99NJLKlu2rC5evKgFCxbo/fffV7NmzdSsWTMZhqHp06dr0KBBGj16tGrUqKHU1FRt2bJFAQEBKly4cF4fCuAw5gHAPACYA/ceQhjyzM6dO3X+/HkNHz5cZcqUkSQVLVpUjz32mD799FNFR0erYsWKat68ucqWLavJkydr0qRJSk1NVenSpXX27Fl99NFH8vHxyeMjARzHPACYBwBz4N5DCEOeKV26tHx8fNSgQQO5ublZbzKtW7euSpQooQMHDqh58+by8PBQlSpV9Pnnn+u7777T6dOn5efnp7p161p/UAF3K+YBwDwAmAP3HkIY8kz58uW1cOFCFSxY0GaVH0kqVKiQrl69KkmyWCxKT09XgQIF1Lx587wqF7gjmAcA8wBgDtx7WJgDeSrzwYOZP2zS09MlSYULF7a5uTQ5OVlbtmwRT1SAK2IeAMwDgDlwbyGEIV/JXGre19dXV65ckSQlJCRo+vTpevLJJ3Xx4sW8LA8wBfMAYB4AzAHXRghDvuTp6ank5GRdu3ZNs2bN0saNG/XZZ5/xzAvcU5gHAPMAYA64JkIY8pWMjAxJN07Jp6Wlafr06fr666/18ccfq2rVqnlcHWAO5gHAPACYA66NhTmQr2ReB12sWDF9+eWX+u2337RixQqFhYXlcWWAeZgHAPMAYA64Ns6EIV9q2bKlAgMDtXr1alWpUiWvywHyBPMAYB4AzAHXZDFYWgX51LVr1+Tt7Z3XZQB5inkAMA8A5oDrIYQBAAAAgIm4HBEAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAExHCAAAAAMBEhDAAALLxySefKDQ0VN26dcvrUgAALoYQBgBANiIiIlSqVCnt379fJ0+ezOtyAAAuhBAGAMA/nD59Wnv37tXEiRMVGBioiIiIvC4JAOBCCGEAAPxDRESE/P391aRJE7Vs2TJLCDtz5oxCQ0O1ePFirV69Ws2bN1fVqlXVpUsX7d+/P8t4O3bs0BNPPKEaNWqodu3aGjFihI4fP27W4QAA8hlCGAAA/xAREaEWLVrI09NT7dq1U3R0dLbhat26dVq8eLF69OihsWPH6uzZsxo9erRSU1OtfX766ScNHjxYly5d0qhRo9S/f3/t3btXvXr10pkzZ8w8LABAPuGe1wUAAJCfHDx4UFFRUXrxxRclSQ899JDuv/9+RUREKDw83KbvuXPntGnTJvn7+0uSgoOD9eSTT2rbtm165JFHJEmzZs2Sv7+/Vq9erYCAAElS8+bN1alTJ82dO1czZ8407+AAAPkCZ8IAAPibiIgIFS1aVPXq1ZMkWSwWtWnTRhs2bFB6erpN3zZt2lgDmCTVrl1b0o17yiTp/PnzOnz4sDp16mQNYJL04IMPqkGDBoqMjLzDRwMAyI8IYQAA/H/p6elav3696tWrpzNnzujkyZM6efKkwsPDdfHiRe3YscOmf4kSJWxeZway+Ph4STfOlEk3zpD9U4UKFXTlyhUlJSXdiUMBAORjXI4IAMD/t3PnTl24cEHr16/X+vXrs2yPiIhQo0aNrK8LFCiQ7TiGYdyxGgEAdz9CGAAA/19ERITuu+8+TZ48Ocu2zZs3a/PmzXr55ZftHq9kyZKSpBMnTmTZFhUVpSJFiqhQoUKOFwwAuCsRwgAAkHTt2jVt2rRJrVq1UqtWrbJsL1asmNatW6ctW7ZkWaDjZooVK6bKlStr7dq1GjZsmPz8/CRJf/zxh7Zv36727ds79RgAAHcH7gkDAEDSli1bdPXqVTVr1izb7TVq1FBgYKC+/vrrHI377LPPKjY2Vj169NDixYs1f/589evXT76+vho1apQzSgcA3GUIYQAASPr666/l5eWlhg0bZrvdzc1NTZs21bZt2xQbG2v3uA0aNNAHH3yggIAAzZkzR0uWLFH16tW1cuVKlSlTxknVAwDuJhaDu4cBAAAAwDScCQMAAAAAExHCAAAAAMBEhDAAAAAAMBEhDAAAAABMRAgDAAAAABMRwgAAAADARIQwAAAAADARIQwAAAAATEQIAwAAAAATEcIAAAAAwESEMAAAAAAwESEMAAAAAExECAMAAAAAE/0/6Kdrk4Wxvi4AAAAASUVORK5CYII=\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Gráfico de barras empilhadas: Desmatamento e CO₂ emitido nos 10 municípios com mais desmatamento\n", - "plt.figure(figsize=(12,7))\n", - "\n", - "# Selecionar os 10 municípios com maiores áreas desmatadas\n", - "municipios_mais_desmatados = df_integrado.groupby('MUNICIPIO')['AREAHA'].sum().nlargest(10).index\n", - "\n", - "# Filtrar o DataFrame para incluir apenas os 10 municípios selecionados\n", - "df_municipios_desmatados = df_integrado[df_integrado['MUNICIPIO'].isin(municipios_mais_desmatados)]\n", - "\n", - "# Criar gráfico de barras empilhadas com área desmatada e CO₂ emitido\n", - "sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, hue='ANO', ci=None, palette='viridis')\n", - "plt.title('Emissões de CO₂ nos 10 Municípios com Mais Desmatamento por Ano', fontsize=14)\n", - "plt.xlabel('Município', fontsize=12)\n", - "plt.ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", - "plt.xticks(rotation=45)\n", - "plt.legend(title='Ano')\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 865 - }, - "id": "8Ko5txG75U2l", - "outputId": "28dc4b4d-046c-4ac5-9391-854a5e0c9e4a" - }, - "execution_count": 202, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":11: FutureWarning: \n", - "\n", - "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", - "\n", - " sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, hue='ANO', ci=None, palette='viridis')\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Gráfico de barras para Emissões de CO2 por Município\n", - "\n", - "# Ordenar os municípios por CO2_emitido\n", - "df_sorted = df.sort_values(by='CO2_emitido', ascending=False)\n", - "\n", - "# Criar gráfico de barras para CO2 emitido por município\n", - "plt.figure(figsize=(12,8))\n", - "sns.barplot(x='CO2_emitido', y='MUNICIPIO', data=df_sorted, palette='Reds')\n", - "\n", - "plt.title('Emissões de CO2 por Município (Cerrado, Bahia)', fontsize=16)\n", - "plt.xlabel('Emissões de CO2 (toneladas)', fontsize=12)\n", - "plt.ylabel('Município', fontsize=12)\n", - "plt.tight_layout()\n", - "plt.show()\n", - "\n", - "\n", - "# Gráfico de barras para Área Desmatada por Município\n", - "\n", - "# Ordenar os municípios por área desmatada\n", - "df_sorted_area = df.sort_values(by='AREAHA', ascending=False)\n", - "\n", - "# Criar gráfico de barras para área desmatada por município\n", - "plt.figure(figsize=(12,8))\n", - "sns.barplot(x='AREAHA', y='MUNICIPIO', data=df_sorted_area, palette='Greens')\n", - "\n", - "plt.title('Área Desmatada por Município (Cerrado, Bahia)', fontsize=16)\n", - "plt.xlabel('Área Desmatada (hectares)', fontsize=12)\n", - "plt.ylabel('Município', fontsize=12)\n", - "plt.tight_layout()\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "wDDP5Z0M6G7A", - "outputId": "02532576-f4a3-4429-c661-9a76e40db040" - }, - "execution_count": 204, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":8: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='CO2_emitido', y='MUNICIPIO', data=df_sorted, palette='Reds')\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":24: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='AREAHA', y='MUNICIPIO', data=df_sorted_area, palette='Greens')\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "import numpy as np\n", - "\n", - "# Criar gráfico de dispersão\n", - "plt.figure(figsize=(12, 8))\n", - "sns.scatterplot(data=df, x='AREAHA', y='CO2_emitido', color='blue', alpha=0.6)\n", - "\n", - "# Calcular a linha de tendência\n", - "x = df['AREAHA']\n", - "y = df['CO2_emitido']\n", - "m, b = np.polyfit(x, y, 1) # Ajustar uma linha de tendência (y = mx + b)\n", - "plt.plot(x, m*x + b, color='red', linewidth=2, label='Linha de Tendência')\n", - "\n", - "# Adicionar títulos e rótulos\n", - "plt.title('Relação entre Área Desmatada e Emissões de CO2', fontsize=16)\n", - "plt.xlabel('Área Desmatada (hectares)', fontsize=12)\n", - "plt.ylabel('Emissões de CO2 (toneladas)', fontsize=12)\n", - "plt.legend()\n", - "plt.tight_layout()\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 801 - }, - "id": "V4nELkDH7DpW", - "outputId": "c24043ac-034b-46e5-fdad-b1724bb864ce" - }, - "execution_count": 205, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Calcular a correlação\n", - "correlacao = df['AREAHA'].corr(df['CO2_emitido'])\n", - "print(f'A correlação entre a área desmatada e CO2 emitido é: {correlacao}')\n", - "\n", - "# Interpretar a correlação\n", - "if correlacao > 0:\n", - " print(\"Correlação positiva: À medida que a área desmatada aumenta, as emissões de CO2 também tendem a aumentar.\")\n", - "elif correlacao < 0:\n", - " print(\"Correlação negativa: À medida que a área desmatada aumenta, as emissões de CO2 tendem a diminuir.\")\n", - "else:\n", - " print(\"Sem correlação: Não há relação clara entre as duas variáveis.\")\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "TeNn7MIA7Xl1", - "outputId": "faf6398b-7cdd-46c3-f24c-20883febeea3" - }, - "execution_count": 206, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "A correlação entre a área desmatada e CO2 emitido é: 0.1923958344678577\n", - "Correlação positiva: À medida que a área desmatada aumenta, as emissões de CO2 também tendem a aumentar.\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# 5. Gráfico de calor: Correlação entre desmatamento e CO₂ emitido\n", - "plt.figure(figsize=(8,6))\n", - "correlation_matrix = df_integrado[['AREAHA', 'CO2_emitido']].corr()\n", - "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', linewidths=0.5)\n", - "plt.title('Correlação entre Desmatamento e CO₂ Emitido', fontsize=14)\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 551 - }, - "id": "qAKx9_Wo45Zm", - "outputId": "30835f3c-3b77-494d-ea24-84cc0c206947" - }, - "execution_count": 208, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "# Gráfico de dispersão: Relação entre área desmatada e CO₂ emitido\n", - "plt.figure(figsize=(10,6))\n", - "sns.scatterplot(x='AREAHA', y='CO2_emitido', data=df_integrado, hue='ANO', palette='coolwarm', s=100)\n", - "plt.title('Relação entre Área Desmatada e CO₂ Emitido', fontsize=14)\n", - "plt.xlabel('Área Desmatada (ha)', fontsize=12)\n", - "plt.ylabel('CO₂ Emitido (ton)', fontsize=12)\n", - "plt.legend(title='Ano')\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 577 - }, - "id": "rodHy-585rfa", - "outputId": "38c0b0ce-c726-4c3f-af74-2f685417db0d" - }, - "execution_count": 209, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Gráficos separados: Desmatamento e CO₂ por município para os 10 municípios mais desmatados\n", - "fig, axs = plt.subplots(2, 1, figsize=(12, 10))\n", - "\n", - "# Gráfico de barras para desmatamento nos 10 municípios mais desmatados\n", - "sns.barplot(x='MUNICIPIO', y='AREAHA', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[0], color='teal')\n", - "axs[0].set_title('Área Desmatada nos 10 Municípios (Bahia)', fontsize=14)\n", - "axs[0].set_xlabel('Município', fontsize=12)\n", - "axs[0].set_ylabel('Área Desmatada (ha)', fontsize=12)\n", - "axs[0].set_xticklabels(axs[0].get_xticklabels(), rotation=45)\n", - "\n", - "# Gráfico de barras para CO₂ nos 10 municípios mais desmatados\n", - "sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[1], color='orange')\n", - "axs[1].set_title('Emissões de CO₂ nos 10 Municípios (Bahia)', fontsize=14)\n", - "axs[1].set_xlabel('Município', fontsize=12)\n", - "axs[1].set_ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", - "axs[1].set_xticklabels(axs[1].get_xticklabels(), rotation=45)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n" - ], - "metadata": { - "id": "nYQ-1hJwWP_m", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "outputId": "8acdd901-1a1d-4bf5-8fb1-4fa024a9f0c1" - }, - "execution_count": 210, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":5: FutureWarning: \n", - "\n", - "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", - "\n", - " sns.barplot(x='MUNICIPIO', y='AREAHA', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[0], color='teal')\n", - ":9: UserWarning: FixedFormatter should only be used together with FixedLocator\n", - " axs[0].set_xticklabels(axs[0].get_xticklabels(), rotation=45)\n", - ":12: FutureWarning: \n", - "\n", - "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n", - "\n", - " sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[1], color='orange')\n", - ":16: UserWarning: FixedFormatter should only be used together with FixedLocator\n", - " axs[1].set_xticklabels(axs[1].get_xticklabels(), rotation=45)\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**CRIANDO UM BANCO DE DADOS**\n", - "\n", - "\n", - "Vamos começar lendo dados de um arquivo CSV e inserindo-os em uma tabela do banco de dados SQLite." - ], - "metadata": { - "id": "3cmdxAhsfFZG" - } - }, - { - "cell_type": "code", - "source": [ - "import sqlite3\n", - "import pandas as pd\n", - "from sqlalchemy import create_engine\n", - "#from google.colab import files\n", - "\n", - "# Passo 1: Fazer upload do arquivo CSV\n", - "# uploaded = files.upload()\n", - "\n", - "# Passo 2: Ler o CSV em um DataFrame\n", - "df = pd.read_csv('dados_integrados.csv')\n", - "\n", - "# Passo 3: Criar o engine para o SQLite\n", - "engine = create_engine('sqlite:///banco.db') #abre e fecha conexões\n", - "\n", - "# Passo 4: Inserir o DataFrame no banco de dados SQLite\n", - "df.to_sql('desmatamento_co2', con=engine, if_exists='replace', index=False)\n", - "\n", - "print(\"Dados inseridos com sucesso no SQLite!\")\n", - "\n", - "# Passo 5: Consultar o banco de dados\n", - "conn = sqlite3.connect('banco.db')\n", - "cursor = conn.cursor()\n", - "\n", - "# Fazer uma consulta\n", - "cursor.execute(\"SELECT * FROM desmatamento_co2 LIMIT 5\")\n", - "rows = cursor.fetchall()\n", - "\n", - "# Mostrar os resultados\n", - "for row in rows:\n", - " print(row)\n", - "\n", - "# Fechar a conexão\n", - "conn.close()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "utOkFSAn2NNG", - "outputId": "e7c05bcd-596d-407c-b668-eea82a8cba10" - }, - "execution_count": 139, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Dados inseridos com sucesso no SQLite!\n", - "('Cerrado', 'BAHIA', 'são desidério', 12.52, 'agriculture', 3159579, 2021)\n", - "('Cerrado', 'BAHIA', 'luís eduardo magalhães', 4.83, 'agriculture', 654262, 2021)\n", - "('Cerrado', 'BAHIA', 'riachão das neves', 7.41, 'agriculture', 761963, 2021)\n", - "('Cerrado', 'BAHIA', 'baianópolis', 2.91, 'agriculture', 1700892, 2021)\n", - "('Cerrado', 'BAHIA', 'santa rita de cássia', 2.3, 'agriculture', 998700, 2021)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**CONSIDERAÇÔES FINAIS**\n", - "\n", - "\n", - "A análise inicial dos dados revelou que, apesar dos esforços de preservação, o desmatamento em várias regiões da Bahia aumentou significativamente nos últimos anos. Isso ocorre especialmente em áreas de biomas sensíveis, como a Caatinga e o Cerrado, que são biomas predominantes no estado.\n", - "\n", - "Esse aumento no desmatamento está intimamente relacionado ao aumento das emissões de CO₂, um dos principais gases responsáveis pelo efeito estufa. O impacto negativo do desmatamento é agravado pelo fato de que essas áreas desmatadas são substituídas por atividades que emitem ainda mais CO₂, como a agropecuária.\n", - "\n", - "Entretanto, as taxas de desmatamento e emissões de CO₂ apresentaram flutuações durante a pandemia de COVID-19, o que levanta questões sobre o papel de eventos globais e econômicos na redução temporária das atividades humanas e como isso afetou o meio ambiente local.\n", - "\n", - "Os resultados da análise reforçam a correlação direta entre desmatamento e emissões de CO₂ no estado da Bahia.\n", - "\n", - "Regiões com maiores áreas desmatadas apresentaram emissões de carbono proporcionalmente mais elevadas, principalmente em áreas destinadas à agropecuária.\n", - "\n", - "- A pandemia trouxe uma breve redução nas emissões, mas o desmatamento continuou a crescer, destacando a necessidade de políticas públicas mais robustas e eficientes para combater essa tendência.\n", - "\n", - "- A expansão agrícola é um dos principais motores do desmatamento e das emissões de CO₂ na Bahia.\n", - "\n", - "- Apesar da breve redução de emissões durante a pandemia, o desmatamento persistiu, o que sugere que fatores locais (como a pressão econômica) têm um papel crucial no aumento da degradação ambiental.\n", - "\n", - "- Medidas de mitigação mais efetivas, incluindo a fiscalização e preservação de áreas naturais, são fundamentais para controlar as emissões de carbono derivadas do desmatamento." - ], - "metadata": { - "id": "fdQmOKTrY-XL" - } - } - ] -} From 544d10011c2b5a41c5f059db874ea14460fda229 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sun, 13 Oct 2024 17:08:34 -0300 Subject: [PATCH 73/90] Criado usando o Colab --- projeto_final_paloma_anne.ipynb | 3882 +++++++++++++++++++++++++++++++ 1 file changed, 3882 insertions(+) create mode 100644 projeto_final_paloma_anne.ipynb diff --git a/projeto_final_paloma_anne.ipynb b/projeto_final_paloma_anne.ipynb new file mode 100644 index 0000000..cace2ee --- /dev/null +++ b/projeto_final_paloma_anne.ipynb @@ -0,0 +1,3882 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Projeto Final de Análise de Dados**\n", + "\n", + "Desenvolvido por:\n", + "\n", + "Paloma Avena palomaavena@gmail.com\n", + "\n", + "Anne Ribeiro anne.asribeiro@gmail.com\n", + "\n" + ], + "metadata": { + "id": "4nPdko9j_PEt" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Contexto**\n", + "\n", + "Nos últimos anos, a questão do desmatamento e suas consequências ambientais têm se tornado uma preocupação crescente. A Bahia, por ser um estado de grande diversidade biológica, possui áreas significativas de florestas e biomas que desempenham um papel vital na regulação climática. O desmatamento pode impactar diretamente as emissões de dióxido de carbono (CO₂), contribuindo para o aquecimento global e alterações climáticas." + ], + "metadata": { + "id": "WIMvI1tp_XVU" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Etapas do projeto:**\n", + "\n", + "\n", + "1. Selecionar a Base de Dados\n", + "2. Definir Objetivo e Perguntas\n", + "3. Realizar Análise Exploratória\n", + "4. Gerar Base Final\n", + "5. Criar Visualizações no Tableau\n", + "6. Preparar Apresentação Final\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "metadata": { + "id": "uk5GxJpZ_ouB" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Bases de dados **\n", + "\n", + "Base 1: MapBiomas Alertas\n", + "https://plataforma.alerta.mapbiomas.org/downloads\n", + "\n", + "Dados de áreas(ha) desmatada por Municipío, Fator de pressão e Biomas no estado da Bahia.\n", + "\n", + "Base 2: Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)\n", + "https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA..\n", + "\n", + "\n", + "Dados de CO2 em toneladas por Municípios de Mudança de uso da terra e floresta." + ], + "metadata": { + "id": "vqYQ20MD_orK" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Objetivo Geral:**\n", + "\n", + "Este projeto tem como objetivo analisar os dados de desmatamento e emissões de CO₂ no estado da Bahia entre 2019 e 2022, a fim de entender como o desmatamento tem impactado as emissões de carbono no período da Pandemia.\n" + ], + "metadata": { + "id": "ZypjoEDB_ooh" + } + }, + { + "cell_type": "markdown", + "source": [ + "**As perguntas norteadoras deste projeto são:**\n", + "\n", + "1. Qual a taxa de desmatamento nos municípios e biomas da Bahia entre 2019 e 2022?\n", + "2. Qual a taxa de CO2 emitido nos municípios da Bahia entre 2019 e 2022, devido a Mudança de uso da terra e floresta?\n", + "3. Existe uma correlação entre as áreas desmatadas e o aumento das emissões de CO₂?\n", + "4. Como a pandemia afetou as taxas de desmatamento e emissões de CO₂?\n" + ], + "metadata": { + "id": "mrO_v4O1_olp" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Desafios:**\n", + "\n", + "1. Identificar regiões com maior desmatamento e correlacionar com dados de emissões.\n", + "2. Analisar o efeito da pandemia nas taxas de desmatamento e emissões.\n", + "\n", + "**Direcionamentos:**\n", + "\n", + "\n", + "Utilizamos técnicas de análise de dados para identificar padrões e correlações entre as variáveis:\n", + "\n", + "1. Análise temporal: Avaliamos a evolução do desmatamento e das emissões ao longo dos anos, de 2019 a 2022.\n", + "\n", + "2. Correlações regionais: Mapeamos as emissões de CO₂ e áreas desmatadas por município, identificando as regiões da Bahia mais afetadas. Descobrimos que áreas como o Oeste da Bahia, caracterizadas pelo agronegócio, registram as maiores emissões.\n", + "\n", + "3. Impacto da pandemia: Durante a pandemia, observamos uma pequena queda nas emissões devido à redução das atividades econômicas, mas o desmatamento continuou a subir em algumas regiões, mostrando a resiliência desse problema mesmo em crises globais." + ], + "metadata": { + "id": "RNIrgkoWZRWr" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Ferramentas Utilizadas:**\n", + "\n", + "Banco de dados\n", + "Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc.\n", + "Tableau: Para criar as visualizações finais e apresentar os insights gerados.\n", + "GitHub: Para versionamento do projeto e documentação.\n", + "Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem.\n", + "\n" + ], + "metadata": { + "id": "VV5GKSMc_oia" + } + }, + { + "cell_type": "markdown", + "source": [ + "Instalando o **Python**: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador.\n", + "\n", + "Instalando o **Visual Studio Code (VS Code)**: Acesse o site (https://code.visualstudio.com/).\n", + "\n", + "**Extensões** que irão tornar o processo de desenvolvimento mais simples e intuitivo:\n", + "\n", + "SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos SQLite (.db), executar consultas SQL, visualizar dados e até mesmo criar tabelas e colunas diretamente no VS Code.\n", + "\n", + "SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros.\n", + "\n", + "\n", + "**Bibliotecas e módulos:**\n", + "\n", + "sqlite3\n", + "csv\n", + "Pandas\n", + "Seaborn\n", + "Matplotlib\n" + ], + "metadata": { + "id": "n33nNlCqgZFC" + } + }, + { + "cell_type": "markdown", + "source": [ + "\n", + "**Análise exploratória de dados**\n", + "\n" + ], + "metadata": { + "id": "miL-Xxpd_niS" + } + }, + { + "cell_type": "markdown", + "source": [ + "**1. DADOS DE CO2 - SEEG**\n", + "\n", + "\n", + "Vamos utilizar a coluna 'categoria'= municipio e total de co2 emitido em tonelada por vetor de emissão, no caso 'Mudança de Uso da Terra e Floresta' dos anos de 2019 a 2022.\n" + ], + "metadata": { + "id": "c48LiFSG_Fft" + } + }, + { + "cell_type": "markdown", + "source": [ + "Coleta de dados CO2 Bahia, SEEG:\n", + "\n", + "\n", + "link: https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-bahia&_gl=1*gambxz*_ga*MTk5NTgxNjM5MS4xNzI1NjQzNTE1*_ga_XZWSWEJDWQ*MTcyNTY0MzUxNS4xLjAuMTcyNTY0MzUxNS4wLjAuMA..blob:https://plataforma.seeg.eco.br/845fd445-2d02-43a9-bb87-14435bfb6c1b\n", + "\n", + "\n" + ], + "metadata": { + "id": "vo84te4Y7n-P" + } + }, + { + "cell_type": "markdown", + "source": [ + "1. **DADOS CO2 - SEEG**" + ], + "metadata": { + "id": "rfcw5b-JebFU" + } + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "-5gVjdMxUarT" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Importando os dados das planilhas\n", + "\n", + "# Primeiro, instale a biblioteca pandas se ainda não estiver instalada\n", + "!pip install pandas\n", + "\n", + "# Importando os dados\n", + "import pandas as pd\n", + "import csv\n", + "\n", + "# Carregando os dois arquivos CSV\n", + "# Caso esteja rodando localmente, altere o caminho dos arquivos, no Colab, você pode fazer upload dos arquivos e colocar o nome do arquivo abaixo:\n", + "\n", + "df1 = pd.read_csv('SEEG.csv')\n", + "\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "print(df1.head())\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dxaI-_ekeF9W", + "outputId": "02911a2b-acec-4c7a-864f-76ddb6769cff", + "collapsed": true + }, + "execution_count": 236, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.2.2)\n", + "Requirement already satisfied: numpy>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from pandas) (1.26.4)\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n", + " Categoria 2019 2020 2021 \\\n", + "0 Desmatamento 3.280686e+07 3.209873e+07 3.095458e+07 \n", + "1 Regeneração 5.500600e+05 4.507720e+05 5.208200e+05 \n", + "2 Outras mudanças de uso da terra 3.633490e+05 6.956830e+05 3.398700e+05 \n", + "\n", + " 2022 \n", + "0 30209999 \n", + "1 714413 \n", + "2 488561 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "df1.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "248fsSuvOBAa", + "outputId": "cd7ea540-df23-49df-c3e7-2d37efe64440", + "collapsed": true + }, + "execution_count": 237, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 3 entries, 0 to 2\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Categoria 3 non-null object \n", + " 1 2019 3 non-null float64\n", + " 2 2020 3 non-null float64\n", + " 3 2021 3 non-null float64\n", + " 4 2022 3 non-null int64 \n", + "dtypes: float64(3), int64(1), object(1)\n", + "memory usage: 248.0+ bytes\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Selecionar as colunas específicas\n", + "\n", + "df_1 = df1[['Categoria','2019', '2020', '2021', '2022']]\n", + "print(df_1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "7cGDNRgEd0wi", + "outputId": "a8e36ec7-e6f1-43d2-a92d-844111b50ee0", + "collapsed": true + }, + "execution_count": 239, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 2019 2020 2021 \\\n", + "0 Desmatamento 3.280686e+07 3.209873e+07 3.095458e+07 \n", + "1 Regeneração 5.500600e+05 4.507720e+05 5.208200e+05 \n", + "2 Outras mudanças de uso da terra 3.633490e+05 6.956830e+05 3.398700e+05 \n", + "\n", + " 2022 \n", + "0 30209999 \n", + "1 714413 \n", + "2 488561 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Altera os nomes das colunas\n", + "\n", + "df_1.columns = ['Municípios', '2019', '2020', '2021', '2022']\n", + "print(df_1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "L6d5VRWSrfKE", + "outputId": "0e941c1a-1152-4237-8a9d-ea8793361dd2", + "collapsed": true + }, + "execution_count": 4, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 \\\n", + "0 São Desidério (BA) 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 Jaborandi (BA) 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 Correntina (BA) 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 Barreiras (BA) 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "5 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 7.619633e+05 \n", + "6 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 9.987006e+05 \n", + "7 Jequié (BA) 2.491692e+05 1.862657e+05 1.639264e+05 \n", + "8 Encruzilhada (BA) 4.038959e+05 4.516205e+05 5.873154e+05 \n", + "9 Baianópolis (BA) 6.074368e+05 7.908150e+05 1.700892e+06 \n", + "10 Valença (BA) 2.476738e+05 4.276377e+05 1.953325e+05 \n", + "11 Cocos (BA) 9.593941e+05 1.218387e+06 1.229645e+06 \n", + "12 Belmonte (BA) 3.904032e+05 3.505588e+05 3.314850e+05 \n", + "13 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 6.542620e+05 \n", + "14 Barra (BA) 2.260111e+05 1.397781e+05 7.905882e+04 \n", + "15 Cotegipe (BA) 3.311638e+05 5.599601e+05 2.925473e+05 \n", + "16 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 7.243660e+04 \n", + "17 Itagibá (BA) 1.216756e+05 7.210208e+04 1.114533e+05 \n", + "18 Itapetinga (BA) 5.707418e+04 4.613513e+04 2.072777e+04 \n", + "19 Iguaí (BA) 8.222719e+04 1.274713e+05 1.559627e+05 \n", + "20 Maraú (BA) 8.020749e+04 1.701269e+05 1.032113e+05 \n", + "21 Ibicuí (BA) 1.696392e+04 3.524000e+04 2.780070e+04 \n", + "22 Guaratinga (BA) 2.117080e+05 2.516566e+05 1.717426e+05 \n", + "23 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 5.956842e+04 \n", + "24 Camamu (BA) 2.214714e+05 4.347414e+05 1.635482e+05 \n", + "25 Itambé (BA) 1.001077e+05 1.444300e+05 6.526349e+04 \n", + "26 Dário Meira (BA) 9.440196e+04 9.250477e+04 1.017979e+05 \n", + "27 Igrapiúna (BA) 2.576941e+05 3.782366e+05 1.486217e+05 \n", + "28 Ilhéus (BA) 1.588721e+05 1.912059e+05 1.317151e+05 \n", + "29 Itarantim (BA) 3.847215e+04 6.031930e+04 1.040533e+04 \n", + "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 \n", + "\n", + " 2022 \n", + "0 2729422 \n", + "1 2432263 \n", + "2 1734316 \n", + "3 1473135 \n", + "4 996163 \n", + "5 670183 \n", + "6 569631 \n", + "7 498001 \n", + "8 414662 \n", + "9 413632 \n", + "10 378871 \n", + "11 367625 \n", + "12 354868 \n", + "13 343098 \n", + "14 312169 \n", + "15 297663 \n", + "16 292758 \n", + "17 288483 \n", + "18 285382 \n", + "19 277970 \n", + "20 275953 \n", + "21 245755 \n", + "22 243882 \n", + "23 238334 \n", + "24 232571 \n", + "25 227632 \n", + "26 217077 \n", + "27 210971 \n", + "28 209209 \n", + "29 203154 \n", + "30 13978140 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remover informações de estado (como \"(BA)\") de 'Municípios'\n", + "df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n", + "\n", + "print(df_1)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "aYveX-t4rJBb", + "outputId": "30e8316b-08b4-498b-eee8-88f64b5141bd", + "collapsed": true + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 2022\n", + "0 São Desidério 2.024108e+06 3.091203e+06 3.159580e+06 2729422\n", + "1 Formosa do Rio Preto 4.220327e+06 3.073766e+06 2.299738e+06 2432263\n", + "2 Jaborandi 1.706968e+06 1.744004e+06 2.051921e+06 1734316\n", + "3 Correntina 1.545573e+06 1.060526e+06 1.585476e+06 1473135\n", + "4 Barreiras 1.568927e+06 1.179766e+06 9.583063e+05 996163\n", + "5 Riachão das Neves 5.801730e+05 1.085054e+06 7.619633e+05 670183\n", + "6 Santa Rita de Cássia 6.947971e+05 8.595094e+05 9.987006e+05 569631\n", + "7 Jequié 2.491692e+05 1.862657e+05 1.639264e+05 498001\n", + "8 Encruzilhada 4.038959e+05 4.516205e+05 5.873154e+05 414662\n", + "9 Baianópolis 6.074368e+05 7.908150e+05 1.700892e+06 413632\n", + "10 Valença 2.476738e+05 4.276377e+05 1.953325e+05 378871\n", + "11 Cocos 9.593941e+05 1.218387e+06 1.229645e+06 367625\n", + "12 Belmonte 3.904032e+05 3.505588e+05 3.314850e+05 354868\n", + "13 Luís Eduardo Magalhães 8.004357e+05 1.523413e+06 6.542620e+05 343098\n", + "14 Barra 2.260111e+05 1.397781e+05 7.905882e+04 312169\n", + "15 Cotegipe 3.311638e+05 5.599601e+05 2.925473e+05 297663\n", + "16 Ibirapitanga 8.620563e+04 2.963629e+05 7.243660e+04 292758\n", + "17 Itagibá 1.216756e+05 7.210208e+04 1.114533e+05 288483\n", + "18 Itapetinga 5.707418e+04 4.613513e+04 2.072777e+04 285382\n", + "19 Iguaí 8.222719e+04 1.274713e+05 1.559627e+05 277970\n", + "20 Maraú 8.020749e+04 1.701269e+05 1.032113e+05 275953\n", + "21 Ibicuí 1.696392e+04 3.524000e+04 2.780070e+04 245755\n", + "22 Guaratinga 2.117080e+05 2.516566e+05 1.717426e+05 243882\n", + "23 Nilo Peçanha 9.027649e+04 1.546260e+05 5.956842e+04 238334\n", + "24 Camamu 2.214714e+05 4.347414e+05 1.635482e+05 232571\n", + "25 Itambé 1.001077e+05 1.444300e+05 6.526349e+04 227632\n", + "26 Dário Meira 9.440196e+04 9.250477e+04 1.017979e+05 217077\n", + "27 Igrapiúna 2.576941e+05 3.782366e+05 1.486217e+05 210971\n", + "28 Ilhéus 1.588721e+05 1.912059e+05 1.317151e+05 209209\n", + "29 Itarantim 3.847215e+04 6.031930e+04 1.040533e+04 203154\n", + "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 13978140\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Converta todas as colunas de anos para inteiro\n", + "\n", + "df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int)\n", + "\n", + "print(df_1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "6toQkSKTetTx", + "outputId": "97ea43a6-df71-4c2f-e3f8-bc3644a1babc", + "collapsed": true + }, + "execution_count": 240, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 2019 2020 2021 2022\n", + "0 Desmatamento 32806856 32098731 30954581 30209999\n", + "1 Regeneração 550060 450772 520820 714413\n", + "2 Outras mudanças de uso da terra 363349 695683 339870 488561\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Contagem de valores nulos em cada coluna\n", + "\n", + "nulos_por_coluna1 = df_1.isnull().sum()\n", + "print(nulos_por_coluna1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4MuBo8vKgg6H", + "outputId": "4db03a8a-e41d-45b1-987d-b52a454e2660", + "collapsed": true + }, + "execution_count": 241, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Categoria 0\n", + "2019 0\n", + "2020 0\n", + "2021 0\n", + "2022 0\n", + "dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remove linhas duplicadas\n", + "\n", + "df_sem_duplicatas1 = df_1.drop_duplicates()\n", + "print(df_sem_duplicatas1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "1ugZRlahiJ9B", + "outputId": "fd08ad02-407a-478e-d4e2-3dcc1611c8c3", + "collapsed": true + }, + "execution_count": 242, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 2019 2020 2021 2022\n", + "0 Desmatamento 32806856 32098731 30954581 30209999\n", + "1 Regeneração 550060 450772 520820 714413\n", + "2 Outras mudanças de uso da terra 363349 695683 339870 488561\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Calcular o total da coluna\n", + "\n", + "valor_total = df_1['2019'].sum()\n", + "print(\"O valor total da coluna é:\", valor_total)\n", + "\n", + "valor_total = df_1['2020'].sum()\n", + "print(\"O valor total da coluna é:\", valor_total)\n", + "\n", + "valor_total = df_1['2021'].sum()\n", + "print(\"O valor total da coluna é:\", valor_total)\n", + "\n", + "valor_total = df_1['2022'].sum()\n", + "print(\"O valor total da coluna é:\", valor_total)" + ], + "metadata": { + "id": "ONOhelsVZ1g8", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "15a8c09e-9ad3-473b-e4ec-288749a8a1dc", + "collapsed": true + }, + "execution_count": 243, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "O valor total da coluna é: 33720265\n", + "O valor total da coluna é: 33245186\n", + "O valor total da coluna é: 31815271\n", + "O valor total da coluna é: 31412973\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df_1.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "12qoAGMmepb8", + "outputId": "5dcaf040-b283-46e3-e451-fc65a881d3cb" + }, + "execution_count": 14, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 31 entries, 0 to 30\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Municípios 31 non-null object\n", + " 1 2019 31 non-null int64 \n", + " 2 2020 31 non-null int64 \n", + " 3 2021 31 non-null int64 \n", + " 4 2022 31 non-null int64 \n", + "dtypes: int64(4), object(1)\n", + "memory usage: 1.3+ KB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Transformar os dados para um formato longo (melt), anos para uma coluna\n", + "\n", + "df_sem_duplicatas1 = pd.melt(df_1, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido')\n", + "\n", + "print(df_sem_duplicatas1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LZkN9n9JkTVG", + "outputId": "851ac84d-2afa-4d62-ef67-58963042bada", + "collapsed": true + }, + "execution_count": 15, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 São Desidério 2019 2024107\n", + "1 Formosa do Rio Preto 2019 4220327\n", + "2 Jaborandi 2019 1706967\n", + "3 Correntina 2019 1545572\n", + "4 Barreiras 2019 1568927\n", + ".. ... ... ...\n", + "119 Dário Meira 2022 217077\n", + "120 Igrapiúna 2022 210971\n", + "121 Ilhéus 2022 209209\n", + "122 Itarantim 2022 203154\n", + "123 Outros 2022 13978140\n", + "\n", + "[124 rows x 3 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Transformar os dados para um formato longo (melt), anos para uma coluna\n", + "\n", + "df_sem_duplicatas1 = pd.melt(df_1, id_vars=['Categoria'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido')\n", + "\n", + "print(df_sem_duplicatas1)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "pT2gptbXVSrv", + "outputId": "93706f00-47f3-43a9-ca36-1388e00d43d2" + }, + "execution_count": 244, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria Ano CO2_emitido\n", + "0 Desmatamento 2019 32806856\n", + "1 Regeneração 2019 550060\n", + "2 Outras mudanças de uso da terra 2019 363349\n", + "3 Desmatamento 2020 32098731\n", + "4 Regeneração 2020 450772\n", + "5 Outras mudanças de uso da terra 2020 695683\n", + "6 Desmatamento 2021 30954581\n", + "7 Regeneração 2021 520820\n", + "8 Outras mudanças de uso da terra 2021 339870\n", + "9 Desmatamento 2022 30209999\n", + "10 Regeneração 2022 714413\n", + "11 Outras mudanças de uso da terra 2022 488561\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "\n", + "# Supondo que você já tenha lido seu CSV em um DataFrame\n", + "# df = pd.read_csv('seu_arquivo.csv')\n", + "\n", + "# Filtrar o DataFrame para ficar apenas com os dados de desmatamento\n", + "# Ajuste a condição abaixo de acordo com a estrutura do seu DataFrame\n", + "df_desmatamento = df_sem_duplicatas1[df_sem_duplicatas1['Categoria'] == 'Desmatamento'] # Substitua 'Tipo' e 'Desmatamento' pelos nomes corretos\n", + "\n", + "# Exibir o DataFrame filtrado\n", + "print(df_desmatamento)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "BTALRwNfVtz6", + "outputId": "8c0af279-113e-4857-8f3d-08c9a3943987" + }, + "execution_count": 245, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria Ano CO2_emitido\n", + "0 Desmatamento 2019 32806856\n", + "3 Desmatamento 2020 32098731\n", + "6 Desmatamento 2021 30954581\n", + "9 Desmatamento 2022 30209999\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df1_MUN = df_sem_duplicatas1.groupby('Municípios')['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df1_MUN.head())\n", + "\n", + "df1_ANO = df_sem_duplicatas1.groupby('Ano')['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df1_ANO.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "-Z0j0G6bh_kP", + "outputId": "832b2d8d-8d3f-40ef-d393-a57f3c52259f" + }, + "execution_count": 16, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios CO2_emitido\n", + "0 Baianópolis 3512774\n", + "1 Barra 757016\n", + "2 Barreiras 4703162\n", + "3 Belmonte 1427314\n", + "4 Camamu 1052331\n", + " Ano CO2_emitido\n", + "0 2019 33720252\n", + "1 2020 33245171\n", + "2 2021 31815256\n", + "3 2022 31412973\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Conta os códigos únicos de municípios\n", + "num_municipios = df_1['Municípios'].nunique()\n", + "\n", + "print(f\"Existem {num_municipios} municípios únicos no arquivo CSV.\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "QPuTywSvfD-z", + "outputId": "6bb6914e-8d9d-453e-feb9-89db5c74fe33" + }, + "execution_count": 19, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Existem 31 municípios únicos no arquivo CSV.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Obtém os códigos únicos de municípios\n", + "municipios_unicos = df_1['Municípios'].unique()\n", + "\n", + "# Exibe os códigos dos municípios únicos\n", + "print(municipios_unicos)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "V_x5uEDtfmmz", + "outputId": "dde36fc2-2e1d-44f9-ca1a-5211769ed330" + }, + "execution_count": 20, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "['São Desidério' 'Formosa do Rio Preto' 'Jaborandi' 'Correntina'\n", + " 'Barreiras' 'Riachão das Neves' 'Santa Rita de Cássia' 'Jequié'\n", + " 'Encruzilhada' 'Baianópolis' 'Valença' 'Cocos' 'Belmonte'\n", + " 'Luís Eduardo Magalhães' 'Barra' 'Cotegipe' 'Ibirapitanga' 'Itagibá'\n", + " 'Itapetinga' 'Iguaí' 'Maraú' 'Ibicuí' 'Guaratinga' 'Nilo Peçanha'\n", + " 'Camamu' 'Itambé' 'Dário Meira' 'Igrapiúna' 'Ilhéus' 'Itarantim' 'Outros']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Verificar se 'OUTROS' está presente nos dados\n", + "outros_presentes = df_1[df_1['Municípios'].str.contains('OUTROS', case=False, na=False)]\n", + "print(\"Linhas com 'OUTROS' \")\n", + "print(outros_presentes)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "gFwAuiaIoSZS", + "outputId": "5b7a8584-3928-4fbb-9615-69a6d4f6b8ea", + "collapsed": true + }, + "execution_count": 21, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Linhas com 'OUTROS' \n", + " Municípios 2019 2020 2021 2022\n", + "30 Outros 15546451 13047762 13420866 13978140\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Salvando o arquivo final em um novo CSV\n", + "\n", + "df_sem_duplicatas1.to_csv('co2.csv', index=False, encoding='utf-8')\n", + "\n", + "print(df_sem_duplicatas1)\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rAUV5SOqQPex", + "outputId": "17f329f6-533b-4dab-e84b-c03a3fd72e6a", + "collapsed": true + }, + "execution_count": 22, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 São Desidério 2019 2024107\n", + "1 Formosa do Rio Preto 2019 4220327\n", + "2 Jaborandi 2019 1706967\n", + "3 Correntina 2019 1545572\n", + "4 Barreiras 2019 1568927\n", + ".. ... ... ...\n", + "119 Dário Meira 2022 217077\n", + "120 Igrapiúna 2022 210971\n", + "121 Ilhéus 2022 209209\n", + "122 Itarantim 2022 203154\n", + "123 Outros 2022 13978140\n", + "\n", + "[124 rows x 3 columns]\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Visualização dados CO2**" + ], + "metadata": { + "id": "RrlcdcwhzLDa" + } + }, + { + "cell_type": "code", + "source": [ + "# Importar bibliotecas necessárias\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Carregar os dados integrados\n", + "df_co2 = pd.read_csv('co2.csv')\n", + "\n", + "# Exibir as primeiras linhas do DataFrame para verificar se os dados foram carregados corretamente\n", + "print(df_co2.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "URZM1F1GzKtV", + "outputId": "167984d9-6e73-41e3-80f9-bbc4f5eaddf1", + "collapsed": true + }, + "execution_count": 23, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 São Desidério 2019 2024107\n", + "1 Formosa do Rio Preto 2019 4220327\n", + "2 Jaborandi 2019 1706967\n", + "3 Correntina 2019 1545572\n", + "4 Barreiras 2019 1568927\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df_MUN = df_co2.groupby('Municípios')['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df_MUN.head())\n", + "\n", + "df_ANO = df_co2.groupby('Ano')['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df_ANO.head())\n", + "\n", + "\n", + "# Somar os valores da coluna AREAHA\n", + "total_co2 = df_co2['CO2_emitido'].sum()\n", + "\n", + "print(f'Total : {total_co2:.2f}')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "-69nt2I0zQ21", + "outputId": "5ab69152-0fc8-462d-fed3-f3a9c3fbcede", + "collapsed": true + }, + "execution_count": 24, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios CO2_emitido\n", + "0 Baianópolis 3512774\n", + "1 Barra 757016\n", + "2 Barreiras 4703162\n", + "3 Belmonte 1427314\n", + "4 Camamu 1052331\n", + " Ano CO2_emitido\n", + "0 2019 33720252\n", + "1 2020 33245171\n", + "2 2021 31815256\n", + "3 2022 31412973\n", + "Total : 130193652.00\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Definir o estilo para os gráficos\n", + "sns.set(style=\"whitegrid\")\n" + ], + "metadata": { + "id": "pWKiceDozRKO" + }, + "execution_count": 25, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Agrupar os dados por ano e somar as emissões\n", + "grouped = df_co2.groupby('Ano')['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Criar o gráfico de barras para CO₂ emitido\n", + "plt.figure(figsize=(10, 6))\n", + "\n", + "# Definir uma paleta de cores distinta\n", + "colors = sns.color_palette(\"husl\", len(grouped['Ano'].unique()))\n", + "\n", + "# Criar o gráfico de barras, utilizando as cores definidas\n", + "sns.barplot(x='Ano', y='CO2_emitido', data=grouped, palette=colors, errorbar=None)\n", + "\n", + "plt.title('CO₂ emitido por Ano na Bahia', fontsize=16)\n", + "plt.xlabel('Ano', fontsize=12)\n", + "plt.ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.tight_layout() # Ajusta o layout para evitar sobreposição\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 0 + }, + "id": "koCDM0wRD7wi", + "outputId": "7e2f15e7-d53a-47d5-8de7-60b223cd8ac3", + "collapsed": true + }, + "execution_count": 26, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":11: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='Ano', y='CO2_emitido', data=grouped, palette=colors, errorbar=None)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(df_co2)\n", + "print(df_co2['CO2_emitido'].isnull().sum()) # Checar valores ausentes\n", + "print(df_co2['CO2_emitido'].dtype) # Verificar o tipo de dados\n", + "print(df_co2['Municípios'].nunique()) # Número de municípios únicos\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "5vbj_fIx0NOW", + "outputId": "4943cda6-4628-41dc-85fe-820ab93c6e91", + "collapsed": true + }, + "execution_count": 29, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 São Desidério 2019 2024107\n", + "1 Formosa do Rio Preto 2019 4220327\n", + "2 Jaborandi 2019 1706967\n", + "3 Correntina 2019 1545572\n", + "4 Barreiras 2019 1568927\n", + ".. ... ... ...\n", + "118 Itambé 2022 227632\n", + "119 Dário Meira 2022 217077\n", + "120 Igrapiúna 2022 210971\n", + "121 Ilhéus 2022 209209\n", + "122 Itarantim 2022 203154\n", + "\n", + "[120 rows x 3 columns]\n", + "0\n", + "int64\n", + "30\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Filtrar para remover os municípios classificados como 'outros'\n", + "df_co2 = df_co2[df_co2['Municípios'] != 'Outros']\n", + "\n", + "# Agrupar por ano e município, somando as emissões\n", + "grouped = df_co2.groupby(['Ano', 'Municípios'])['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Filtrar para remover municípios com emissão zero\n", + "grouped = grouped[grouped['CO2_emitido'] > 0]\n", + "\n", + "# Criar gráficos para cada ano\n", + "years = grouped['Ano'].unique() # Obter anos únicos\n", + "\n", + "plt.figure(figsize=(12, 10))\n", + "\n", + "# Definir uma paleta de cores distinta\n", + "colors = sns.color_palette(\"husl\", len(years))\n", + "\n", + "for i, year in enumerate(years):\n", + " # Filtrar os 10 maiores municípios para cada ano\n", + " top_10_municipios = grouped[grouped['Ano'] == year].nlargest(10, 'CO2_emitido')\n", + "\n", + " # Criar um subgráfico\n", + " plt.subplot(len(years), 1, i + 1)\n", + "\n", + " # Criar o gráfico de barras\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + " palette=[colors[i]], dodge=False)\n", + "\n", + " plt.title(f'Top 10 Municípios com Mais Emissões de CO₂ em {year}', fontsize=14)\n", + " plt.xlabel('Emissões de CO₂ (ton)', fontsize=12)\n", + " plt.ylabel('Município', fontsize=12)\n", + " plt.xticks(rotation=45)\n", + "\n", + " # Adicionar a legenda específica para cada gráfico\n", + " handles = [plt.Line2D([0], [0], color=colors[i], lw=4)]\n", + " plt.legend(handles, [year], title='Ano', frameon=False)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 0 + }, + "id": "-FpXsxt10NBG", + "outputId": "3efc3662-10dc-4c62-df49-2eb43fd04708", + "collapsed": true + }, + "execution_count": 30, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":26: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Filtrar para remover os municípios classificados como 'outros'\n", + "df_co2 = df_co2[df_co2['Municípios'] != 'Outros']\n", + "\n", + "# Agrupar por município, somando as áreas desmatadas ao longo dos anos\n", + "grouped = df_co2.groupby(['Municípios'])['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Filtrar para manter apenas os 10 maiores municípios\n", + "top_10_municipios = grouped.nlargest(10, 'CO2_emitido')\n", + "\n", + "# Definir uma paleta de cores distinta\n", + "colors = sns.color_palette(\"husl\", len(top_10_municipios))\n", + "\n", + "# Criar gráfico de barras para os 10 municípios\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios, palette=colors)\n", + "plt.title('Top 10 Municípios com Mais Emissões de CO₂ (2019 a 2020)', fontsize=14)\n", + "plt.xlabel('Emissões de CO₂ (ton)', fontsize=12)\n", + "plt.ylabel('Município', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 0 + }, + "id": "iNmKZdwKLH4P", + "outputId": "3f76ed57-f218-41ad-ce9e-6637a22301dd", + "collapsed": true + }, + "execution_count": 31, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":15: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios, palette=colors)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "rDNJRYEmQc3Y" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "**2. DADOS DESMATAMENTO - MAPBIOMAS**" + ], + "metadata": { + "id": "4b3RXVJPee-P" + } + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ], + "metadata": { + "id": "GGWC3zlhehXu" + }, + "execution_count": 113, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# importando dados\n", + "\n", + "df3 = pd.read_csv('mapbiomas_ba.csv')\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df3.head())\n", + "\n", + "df3.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dOTnbHapgsxF", + "outputId": "545f9d30-3b13-4081-a38b-b520398d4bd7", + "collapsed": true + }, + "execution_count": 135, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " CODEALERTA FONTE BIOMA ESTADO MUNICIPIO AREAHA \\\n", + "0 1226926 {SAD-CAATINGA} Caatinga BAHIA Iaçu 2.96 \n", + "1 1226922 {SAD-CAATINGA} Caatinga BAHIA Miguel Calmon 1.69 \n", + "2 1227303 {SAD-CAATINGA} Caatinga BAHIA Buritirama 2.05 \n", + "3 1227296 {SAD-CAATINGA} Caatinga BAHIA Piatã 0.69 \n", + "4 1227291 {SAD-CAATINGA} Caatinga BAHIA Cotegipe 23.97 \n", + "\n", + " ANODETEC DATADETEC DTIMGANT DTIMGDEP DTPUBLI VPRESSAO \n", + "0 2024.0 2024/01/01 2023/01/26 2024/02/14 2024/04/30 agriculture \n", + "1 2024.0 2024/01/01 2023/06/30 2024/01/31 2024/04/30 agriculture \n", + "2 2024.0 2024/01/01 2023/03/17 2023/10/10 2024/04/30 agriculture \n", + "3 2024.0 2024/01/01 2023/04/27 2023/06/17 2024/04/30 agriculture \n", + "4 2024.0 2024/01/01 2023/08/12 2023/10/17 2024/04/30 agriculture \n", + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 CODEALERTA 28397 non-null int64 \n", + " 1 FONTE 28397 non-null object \n", + " 2 BIOMA 28397 non-null object \n", + " 3 ESTADO 28397 non-null object \n", + " 4 MUNICIPIO 28397 non-null object \n", + " 5 AREAHA 28397 non-null float64\n", + " 6 ANODETEC 28397 non-null float64\n", + " 7 DATADETEC 28397 non-null object \n", + " 8 DTIMGANT 28397 non-null object \n", + " 9 DTIMGDEP 28397 non-null object \n", + " 10 DTPUBLI 28397 non-null object \n", + " 11 VPRESSAO 28397 non-null object \n", + "dtypes: float64(2), int64(1), object(9)\n", + "memory usage: 2.6+ MB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Converta a coluna de ano para int\n", + "\n", + "df3[['ANODETEC']] = df3[['ANODETEC']].astype(int)\n", + "\n", + "df3.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_0gvkwXlQnbU", + "outputId": "e92ce45a-546d-442c-e3f8-ae57dfd9ce2a", + "collapsed": true + }, + "execution_count": 137, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 CODEALERTA 28397 non-null int64 \n", + " 1 FONTE 28397 non-null object \n", + " 2 BIOMA 28397 non-null object \n", + " 3 ESTADO 28397 non-null object \n", + " 4 MUNICIPIO 28397 non-null object \n", + " 5 AREAHA 28397 non-null float64\n", + " 6 ANODETEC 28397 non-null int64 \n", + " 7 DATADETEC 28397 non-null object \n", + " 8 DTIMGANT 28397 non-null object \n", + " 9 DTIMGDEP 28397 non-null object \n", + " 10 DTPUBLI 28397 non-null object \n", + " 11 VPRESSAO 28397 non-null object \n", + "dtypes: float64(1), int64(2), object(9)\n", + "memory usage: 2.6+ MB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Conta os códigos únicos de ano\n", + "num_ano = df3['ANODETEC'].nunique()\n", + "print(f\"Existem {num_ano} anos únicos no arquivo CSV.\")\n", + "\n", + "\n", + "# Conta os códigos únicos de municípios\n", + "num_municipios = df3['MUNICIPIO'].nunique()\n", + "print(f\"Existem {num_municipios} municípios únicos no arquivo CSV.\")\n", + "\n", + "\n", + "# Conta os códigos únicos de municípios\n", + "num_V = df3['VPRESSAO'].nunique()\n", + "print(f\"Existem {num_V} pressao únicos no arquivo CSV.\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "607C9FU3iE_g", + "outputId": "bbc6154c-7f91-4a30-f734-a87b704f18be" + }, + "execution_count": 138, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Existem 6 anos únicos no arquivo CSV.\n", + "Existem 407 municípios únicos no arquivo CSV.\n", + "Existem 10 pressao únicos no arquivo CSV.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Filtrar para manter apenas os anos entre 2019 e 2022\n", + "df3_limpo = df3[(df3['ANODETEC'] >= 2019) & (df3['ANODETEC'] <= 2022)]\n", + "\n", + "# Remover as colunas indesejadas\n", + "colunas_para_remover = ['CODEALERTA', 'FONTE', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'DATADETEC']\n", + "df3_reduzido = df3_limpo.drop(columns=colunas_para_remover)\n", + "\n", + "# Exibir as primeiras linhas do DataFrame limpo\n", + "print(df3_reduzido.head())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "xw4vph8wsQCY", + "outputId": "4d1ada0f-3b8a-4cbd-87e2-7f1d1ff2c2f0", + "collapsed": true + }, + "execution_count": 142, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "370 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", + "376 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", + "377 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", + "378 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", + "391 Cerrado BAHIA Baianópolis 2.91 2021 agriculture\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Conta os códigos únicos\n", + "num = df3_reduzido['MUNICIPIO'].nunique()\n", + "\n", + "print(f\"Existem {num} valores únicos no arquivo CSV.\") # sairam alguns municipios na retiradas dos outros anos" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "I13V4g3G8CNb", + "outputId": "3398824d-ff3c-4aa9-8610-8c4ff95da90f" + }, + "execution_count": 143, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Existem 392 anos únicos no arquivo CSV.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# somente caso precise\n", + "\n", + "\n", + "\n", + "# Obtém os códigos únicos de municípios\n", + "# municipios_unicos = df3_reduzido['MUNICIPIO'].unique()\n", + "\n", + "# Exibe os códigos dos municípios únicos\n", + "# print(municipios_unicos)\n", + "\n", + "# somando\n", + "\n", + "df3_MUN = df3_reduzido.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_MUN.head())\n", + "\n", + "df3_ANO = df3_reduzido.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_ANO.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4LvRvq8pSL8G", + "outputId": "996edd71-d61d-4f92-a5db-3ec093ad4c0d", + "collapsed": true + }, + "execution_count": 144, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " MUNICIPIO AREAHA\n", + "0 Abaré 11.93\n", + "1 Abaíra 41.90\n", + "2 Acajutiba 34.86\n", + "3 Adustina 167.45\n", + "4 Aiquara 175.27\n", + " ANODETEC AREAHA\n", + "0 2019 64554.41\n", + "1 2020 113073.16\n", + "2 2021 154250.73\n", + "3 2022 227779.90\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "print(df3_reduzido.info())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "WBdJUsJ9f3Yi", + "outputId": "586db967-7bf7-4263-9259-3c4156d26220", + "collapsed": true + }, + "execution_count": 145, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Index: 17026 entries, 370 to 27982\n", + "Data columns (total 6 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 BIOMA 17026 non-null object \n", + " 1 ESTADO 17026 non-null object \n", + " 2 MUNICIPIO 17026 non-null object \n", + " 3 AREAHA 17026 non-null float64\n", + " 4 ANODETEC 17026 non-null int64 \n", + " 5 VPRESSAO 17026 non-null object \n", + "dtypes: float64(1), int64(1), object(4)\n", + "memory usage: 931.1+ KB\n", + "None\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Verificar se tem valores faltantes\n", + "\n", + "print(df3_reduzido.isnull().sum())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Jeufw3Gvf6gj", + "outputId": "ebe78ac0-26aa-4a86-eb09-30af82bf7e90", + "collapsed": true + }, + "execution_count": 146, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "BIOMA 0\n", + "ESTADO 0\n", + "MUNICIPIO 0\n", + "AREAHA 0\n", + "ANODETEC 0\n", + "VPRESSAO 0\n", + "dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Conta os códigos únicos\n", + "num1 = df3_reduzido['MUNICIPIO'].nunique()\n", + "\n", + "print(f\"Existem {num1} valores únicos no arquivo CSV.\")\n", + "\n", + "# Conta os códigos únicos\n", + "num2 = df3_reduzido['ANODETEC'].nunique()\n", + "\n", + "print(f\"Existem {num2} valores únicos no arquivo CSV.\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "waRI9WJc4RMa", + "outputId": "bf48b706-19e5-456a-de7c-c76683e80d8b" + }, + "execution_count": 148, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Existem 392 valores únicos no arquivo CSV.\n", + "Existem 4 valores únicos no arquivo CSV.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Salvando o arquivo final em um novo CSV\n", + "\n", + "df3_reduzido.to_csv('desmatamento.csv', index=False, encoding='utf-8')\n", + "\n", + "print(df3_reduzido)" + ], + "metadata": { + "id": "Dmt95mSDi-XN", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "aa908f35-f5b1-445b-bd31-9f14f0195165", + "collapsed": true + }, + "execution_count": 149, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " CODEALERTA FONTE BIOMA ESTADO MUNICIPIO \\\n", + "370 1022269 {PRODES-CERR} Cerrado BAHIA Canápolis \n", + "376 995080 {PRODES-CERR} Cerrado BAHIA São Desidério \n", + "377 995047 {PRODES-CERR} Cerrado BAHIA Luís Eduardo Magalhães \n", + "378 995044 {PRODES-CERR} Cerrado BAHIA Riachão das Neves \n", + "391 1027286 {PRODES-CERR} Cerrado BAHIA Baianópolis \n", + "... ... ... ... ... ... \n", + "27941 1013444 {PRODES-CERR} Cerrado BAHIA Riacho de Santana \n", + "27942 1013438 {PRODES-CERR} Cerrado BAHIA Igaporã \n", + "27967 1027150 {PRODES-CERR} Cerrado BAHIA Cotegipe \n", + "27968 1020554 {PRODES-CERR} Cerrado BAHIA Cotegipe \n", + "27982 1013449 {PRODES-CERR} Cerrado BAHIA Tanque Novo \n", + "\n", + " AREAHA ANODETEC DATADETEC DTIMGANT DTIMGDEP DTPUBLI \\\n", + "370 2.30 2021 2021/08/22 2021/04/05 2021/06/04 2023/09/18 \n", + "376 12.52 2021 2021/07/28 2021/05/21 2022/01/20 2023/09/18 \n", + "377 4.83 2021 2021/07/28 2020/11/09 2021/04/17 2023/09/18 \n", + "378 7.41 2021 2021/07/28 2020/09/16 2021/07/02 2023/09/18 \n", + "391 2.91 2021 2021/08/22 2022/05/13 2022/06/02 2023/09/18 \n", + "... ... ... ... ... ... ... \n", + "27941 1.70 2021 2021/08/15 2020/06/28 2020/11/13 2023/09/18 \n", + "27942 1.93 2021 2021/08/15 2021/05/11 2021/05/27 2023/09/18 \n", + "27967 1.58 2021 2021/08/22 2021/05/17 2021/07/07 2023/09/18 \n", + "27968 2.98 2021 2021/08/22 2019/07/06 2020/01/17 2023/09/18 \n", + "27982 2.92 2021 2021/08/15 2021/05/21 2021/10/30 2023/09/18 \n", + "\n", + " VPRESSAO \n", + "370 agriculture \n", + "376 agriculture \n", + "377 agriculture \n", + "378 agriculture \n", + "391 agriculture \n", + "... ... \n", + "27941 agriculture \n", + "27942 others \n", + "27967 agriculture \n", + "27968 agriculture \n", + "27982 agriculture \n", + "\n", + "[17026 rows x 12 columns]\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Visualização dos dados**" + ], + "metadata": { + "id": "9yAQtchPsAC4" + } + }, + { + "cell_type": "code", + "source": [ + "# Importar bibliotecas necessárias\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Carregar os dados integrados\n", + "df_desmatamento = pd.read_csv('desmatamento.csv')\n", + "\n", + "# Exibir as primeiras linhas do DataFrame para verificar se os dados foram carregados corretamente\n", + "print(df_desmatamento.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "0QQgbfE9s3X_", + "outputId": "6e94ab6c-c5c5-466b-d19e-59754cf919ad" + }, + "execution_count": 150, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", + "1 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", + "2 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", + "3 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", + "4 Cerrado BAHIA Baianópolis 2.91 2021 agriculture\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# somente caso precise\n", + "\n", + "\n", + "df3_MUN = df_desmatamento.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_MUN.head())\n", + "\n", + "\n", + "df3_ANO = df_desmatamento.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_ANO.head())\n", + "\n", + "# Somar os valores da coluna AREAHA\n", + "total_area_desmatada = df_desmatamento['AREAHA'].sum()\n", + "\n", + "print(f'Total de Área Desmatada (ha): {total_area_desmatada:.2f}')\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "D0nu8Y5KjhXD", + "outputId": "6d549c4a-6f3b-49e4-bb8f-b1e20b53483f", + "collapsed": true + }, + "execution_count": 151, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " MUNICIPIO AREAHA\n", + "0 Abaré 11.93\n", + "1 Abaíra 41.90\n", + "2 Acajutiba 34.86\n", + "3 Adustina 167.45\n", + "4 Aiquara 175.27\n", + " ANODETEC AREAHA\n", + "0 2019 64554.41\n", + "1 2020 113073.16\n", + "2 2021 154250.73\n", + "3 2022 227779.90\n", + "Total de Área Desmatada (ha): 559658.20\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Definir o estilo para os gráficos\n", + "sns.set(style=\"whitegrid\")" + ], + "metadata": { + "id": "QvbjlogE5FVE" + }, + "execution_count": 152, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Agrupar os dados por ano e somar a área desmatada\n", + "grouped = df_desmatamento.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", + "\n", + "# Criar o gráfico de barras para a área desmatada\n", + "plt.figure(figsize=(10, 6))\n", + "\n", + "# Definir uma paleta de cores distinta\n", + "colors = sns.color_palette(\"husl\", len(grouped['ANODETEC'].unique()))\n", + "\n", + "# Criar o gráfico de barras, utilizando as cores definidas\n", + "sns.barplot(x='ANODETEC', y='AREAHA', data=grouped, palette=colors, errorbar=None)\n", + "\n", + "plt.title('Total de Área Desmatada por Ano na Bahia', fontsize=14)\n", + "plt.xlabel('Ano', fontsize=12)\n", + "plt.ylabel('Área Desmatada (ha)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", + "plt.show()\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 688 + }, + "id": "h8SueyKp5JVU", + "outputId": "349d01a8-4f73-40fa-e05c-122cf200a6ee", + "collapsed": true + }, + "execution_count": 153, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":11: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='ANODETEC', y='AREAHA', data=grouped, palette=colors, errorbar=None)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Agrupar por ano e município, somando as áreas desmatadas\n", + "grouped = df_desmatamento.groupby(['ANODETEC', 'MUNICIPIO'])['AREAHA'].sum().reset_index()\n", + "\n", + "# Filtrar para remover municípios com área desmatada zero\n", + "grouped = grouped[grouped['AREAHA'] > 0]\n", + "\n", + "# Obter anos únicos\n", + "years = grouped['ANODETEC'].unique()\n", + "\n", + "plt.figure(figsize=(12, 10))\n", + "\n", + "# Definir uma paleta de cores distinta\n", + "colors = sns.color_palette(\"husl\", len(years))\n", + "\n", + "for i, year in enumerate(years):\n", + " # Filtrar os 10 maiores municípios para cada ano\n", + " top_10_municipios = grouped[grouped['ANODETEC'] == year].nlargest(10, 'AREAHA')\n", + "\n", + " # Criar um subgráfico\n", + " plt.subplot(len(years), 1, i + 1)\n", + "\n", + " # Criar o gráfico de barras\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + " palette=[colors[i]], dodge=False)\n", + "\n", + " plt.title(f'Top 10 Municípios com Mais Desmatamento em {year}', fontsize=14)\n", + " plt.xlabel('Área Desmatada (ha)', fontsize=12)\n", + " plt.ylabel('Município', fontsize=12)\n", + " plt.xticks(rotation=45)\n", + "\n", + " # Adicionar a legenda específica para cada gráfico\n", + " handles = [plt.Line2D([0], [0], color=colors[i], lw=4)]\n", + " plt.legend(handles, [year], title='Ano', frameon=False)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "9oJWCS29GjH8", + "outputId": "d24c9aaa-5560-44b9-e360-6c57108f5293", + "collapsed": true + }, + "execution_count": 154, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":23: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Agrupar por município, somando as áreas desmatadas ao longo dos anos\n", + "grouped = df_desmatamento.groupby(['MUNICIPIO'])['AREAHA'].sum().reset_index()\n", + "\n", + "# Filtrar para manter apenas os 10 maiores municípios\n", + "top_10_municipios = grouped.nlargest(10, 'AREAHA')\n", + "\n", + "# Definir uma paleta de cores distinta\n", + "colors = sns.color_palette(\"husl\", len(top_10_municipios))\n", + "\n", + "# Criar gráfico de barras para os 10 municípios\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios, palette=colors)\n", + "plt.title('Top 10 Municípios com Mais Desmatamento (2019 a 2020)', fontsize=14)\n", + "plt.xlabel('Área Desmatada (ha)', fontsize=12)\n", + "plt.ylabel('Município', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 688 + }, + "id": "gTNS0id9JA9k", + "outputId": "bf2bb8f1-8137-4f51-e0e9-e489f2054821", + "collapsed": true + }, + "execution_count": 155, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":12: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios, palette=colors)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "\n", + "# Agrupar dados por bioma e calcular a soma de AREAHA\n", + "bioma_data = df_desmatamento.groupby('BIOMA')['AREAHA'].sum().reset_index()\n", + "\n", + "# Criar gráfico de barras para área desmatada por bioma\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(x='BIOMA', y='AREAHA', data=bioma_data, palette='viridis')\n", + "\n", + "# Configurações do gráfico\n", + "plt.title('Área Desmatada por Bioma', fontsize=14)\n", + "plt.xlabel('Bioma', fontsize=12)\n", + "plt.ylabel('Área Desmatada (ha)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "\n", + "# Exibir o gráfico\n", + "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 688 + }, + "id": "KJQvHpTDMvDZ", + "outputId": "88601250-9c56-4bc1-9956-33bdc8ebe0e0", + "collapsed": true + }, + "execution_count": 156, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":6: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='BIOMA', y='AREAHA', data=bioma_data, palette='viridis')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Agrupar dados por ano e bioma, somando a área desmatada\n", + "bioma_year_data = df_desmatamento.groupby(['ANODETEC', 'BIOMA'])['AREAHA'].sum().reset_index()\n", + "\n", + "# Definir a paleta de cores para o gráfico\n", + "# Aqui, você pode definir as cores que deseja usar (as mesmas do gráfico de pizza)\n", + "palette = sns.color_palette(\"husl\", len(bioma_year_data['BIOMA'].unique()))\n", + "\n", + "# Criar gráfico de barras para área desmatada por bioma e por ano\n", + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(x='ANODETEC', y='AREAHA', hue='BIOMA', data=bioma_year_data, palette=palette)\n", + "\n", + "# Configurações do gráfico\n", + "plt.title('Área Desmatada por Bioma e por Ano', fontsize=16)\n", + "plt.xlabel('Ano', fontsize=12)\n", + "plt.ylabel('Área Desmatada (ha)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "\n", + "# Adicionar legenda\n", + "plt.legend(title='Bioma')\n", + "\n", + "# Exibir o gráfico\n", + "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 601 + }, + "id": "5iNU6vKjMvAj", + "outputId": "87d9dc96-0718-41bb-c6ed-da51c2093cce", + "collapsed": true + }, + "execution_count": 157, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "\n", + "# Agrupar dados por bioma e calcular a soma de AREAHA\n", + "bioma_data = df_desmatamento.groupby('BIOMA')[['AREAHA']].sum()\n", + "\n", + "# Definir a paleta de cores\n", + "palette = sns.color_palette(\"husl\", len(bioma_data.index))\n", + "\n", + "# Criar gráfico de pizza para área desmatada\n", + "plt.figure(figsize=(14, 6))\n", + "plt.pie(bioma_data['AREAHA'], labels=bioma_data.index, autopct='%1.1f%%', startangle=140,\n", + " colors=palette)\n", + "plt.title('Distribuição de Área Desmatada por Bioma')\n", + "plt.axis('equal') # Para garantir que o gráfico seja um círculo\n", + "\n", + "# Exibir o gráfico\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 559 + }, + "id": "Aux4WAmZMu9J", + "outputId": "ea4f653d-d1bc-479d-c850-0530c4711d64", + "collapsed": true + }, + "execution_count": 158, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "\n", + "# Agrupar dados por tipo de pressão e calcular a soma da área desmatada\n", + "vpressao_data = df_desmatamento.groupby('VPRESSAO')['AREAHA'].sum()\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "# Ordenar do maior para o menor\n", + "vpressao_data = vpressao_data.sort_values(ascending=False)\n", + "\n", + "# Definir a paleta de cores\n", + "palette = sns.color_palette(\"husl\", len(vpressao_data.index))\n", + "\n", + "# Criar gráfico de barras\n", + "plt.figure(figsize=(10, 6))\n", + "bars = sns.barplot(x=vpressao_data.index, y=vpressao_data.values, palette=palette)\n", + "plt.xlabel('Tipo de Pressão')\n", + "plt.ylabel('Área Desmatada (ha)')\n", + "plt.title('Distribuição de Área Desmatada por Tipo de Pressão')\n", + "plt.xticks(rotation=45, ha='right')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.tight_layout()\n", + "\n", + "plt.show()\n", + "\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 688 + }, + "id": "pVoJiHwRMu4V", + "outputId": "1e37c654-6db1-443a-90d8-98b44412fdca", + "collapsed": true + }, + "execution_count": 160, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":16: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " bars = sns.barplot(x=vpressao_data.index, y=vpressao_data.values, palette=palette)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Integrando as bases de dados**" + ], + "metadata": { + "id": "_q7zkPedSmZl" + } + }, + { + "cell_type": "code", + "source": [ + "# importando dados\n", + "\n", + "df_desmatamento = pd.read_csv('desmatamento.csv')\n", + "\n", + "df_co2 = pd.read_csv('co2.csv')\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df_desmatamento.head())\n", + "\n", + "print(df_co2.head())" + ], + "metadata": { + "id": "I94Is9Ugs3l4", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "29b117b7-82d5-4c70-c7a1-b2458dc44958" + }, + "execution_count": 182, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", + "1 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", + "2 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", + "3 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", + "4 Cerrado BAHIA Baianópolis 2.91 2021 agriculture\n", + " Municípios Ano CO2_emitido\n", + "0 São Desidério 2019 2024107\n", + "1 Formosa do Rio Preto 2019 4220327\n", + "2 Jaborandi 2019 1706967\n", + "3 Correntina 2019 1545572\n", + "4 Barreiras 2019 1568927\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Contando o número de municípios únicos em cada DataFrame\n", + "num_municipios_desmatamentos = df_desmatamento['MUNICIPIO'].nunique()\n", + "num_municipios_co2s = df_co2['Municípios'].nunique()\n", + "\n", + "print(f\"Número de municípios únicos em df_desmatamentos: {num_municipios_desmatamentos}\")\n", + "print(f\"Número de municípios únicos em df_co2s: {num_municipios_co2s}\")" + ], + "metadata": { + "id": "t4uBo8XzwXuK", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "179fc76e-7a88-4018-8d30-6d90ea73004f" + }, + "execution_count": 183, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Número de municípios únicos em df_desmatamentos: 392\n", + "Número de municípios únicos em df_co2s: 31\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Limpar e padronizar os nomes de municípios\n", + "\n", + "df_desmatamento['MUNICIPIO'] = df_desmatamento['MUNICIPIO'].str.strip().str.lower()\n", + "df_co2['Municípios'] = df_co2['Municípios'].str.strip().str.lower()\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df_desmatamento.head())\n", + "\n", + "print(df_co2.head())\n" + ], + "metadata": { + "id": "_NzU6L8rSa0b", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "fce92492-a11a-48fd-d4a8-ceb7fed96b03" + }, + "execution_count": 184, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Cerrado BAHIA canápolis 2.30 2021 agriculture\n", + "1 Cerrado BAHIA são desidério 12.52 2021 agriculture\n", + "2 Cerrado BAHIA luís eduardo magalhães 4.83 2021 agriculture\n", + "3 Cerrado BAHIA riachão das neves 7.41 2021 agriculture\n", + "4 Cerrado BAHIA baianópolis 2.91 2021 agriculture\n", + " Municípios Ano CO2_emitido\n", + "0 são desidério 2019 2024107\n", + "1 formosa do rio preto 2019 4220327\n", + "2 jaborandi 2019 1706967\n", + "3 correntina 2019 1545572\n", + "4 barreiras 2019 1568927\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Municípios que estão apenas em df_desmatamento\n", + "municipios_exclusivos_desmatamento = set(df_desmatamento['MUNICIPIO'].unique()) - set(df_co2['Municípios'].unique())\n", + "print(\"Municípios exclusivos em df_desmatamento:\", municipios_exclusivos_desmatamento)\n", + "\n", + "# Municípios que estão apenas em df_co2\n", + "municipios_exclusivos_co2 = set(df_co2['Municípios'].unique()) - set(df_desmatamento['MUNICIPIO'].unique())\n", + "print(\"Municípios exclusivos em df_co2:\", municipios_exclusivos_co2)\n" + ], + "metadata": { + "id": "U-aGD1oLwuaZ", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "ec906307-0445-4775-f730-c6c9d0f02482" + }, + "execution_count": 185, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Municípios exclusivos em df_desmatamento: {'boa vista do tupim', 'una', 'pintadas', 'teolândia', 'ibitiara', 'jacaraci', 'milagres', 'tabocas do brejo velho', 'uruçuca', 'barrocas', 'ituaçu', 'porto seguro', 'eunápolis', 'boquira', 'jeremoabo', 'mirante', 'ribeira do pombal', 'irará', 'candeal', 'caculé', 'andaraí', 'érico cardoso', 'nova ibiá', 'olindina', 'gentio do ouro', 'quixabeira', 'cardeal da silva', 'itapitanga', 'conceição do jacuípe', 'são sebastião do passé', 'brejões', 'tremedal', 'caém', 'marcionílio souza', 'itajuípe', 'camacan', 'simões filho', 'maragogipe', 'itacaré', 'mulungu do morro', 'serra preta', 'pindobaçu', 'capim grosso', 'jussari', 'santa inês', 'uibaí', 'joão dourado', 'poções', 'nova itarana', 'aurelino leal', 'ibipeba', 'itaguaçu da bahia', 'itabuna', 'salinas da margarida', 'bonito', 'tapiramutá', 'ibiassucê', 'jaguaquara', 'medeiros neto', 'planaltino', 'água fria', 'jaguarari', 'banzaê', 'buritirama', 'pilão arcado', 'aracatu', 'jitaúna', 'ipirá', 'esplanada', 'queimadas', 'castro alves', 'ouriçangas', 'muquém do são francisco', 'itanhém', 'irecê', 'ibiquera', 'ourolândia', 'itagimirim', 'pojuca', 'anguera', 'elísio medrado', 'inhambupe', 'matina', 'miguel calmon', 'botuporã', 'cristópolis', 'boninal', 'conceição do almeida', 'cipó', 'quijingue', 'dom basílio', 'ibotirama', 'rio do antônio', 'caatiba', 'teodoro sampaio', 'ribeirão do largo', 'cansanção', 'utinga', 'gandu', 'ipecaetá', 'antônio gonçalves', 'mata de são joão', 'sátiro dias', \"dias d'ávila\", 'araci', 'paripiranga', 'itaquara', 'jiquiriçá', 'iramaia', 'campo alegre de lourdes', 'arataca', 'sobradinho', 'heliópolis', 'saubara', 'itororó', 'igaporã', 'pindaí', 'ibicaraí', 'paramirim', 'barro preto', 'santo antônio de jesus', 'morpará', 'umburanas', 'nova canaã', 'ubaitaba', 'chorrochó', 'brumado', 'salvador', 'nova soure', 'macarani', 'são felipe', 'mascote', 'ribeira do amparo', 'oliveira dos brejinhos', 'itanagra', 'piraí do norte', 'boa nova', 'são josé da vitória', 'novo horizonte', 'taperoá', 'antas', 'serra do ramalho', 'são gabriel', 'macaúbas', 'mairi', 'amélia rodrigues', 'canudos', 'candeias', 'macajuba', 'jacobina', 'presidente jânio quadros', 'santa cruz da vitória', 'wagner', 'ruy barbosa', 'nova viçosa', 'ibititá', 'iaçu', 'jaguaripe', 'uauá', 'coronel joão sá', 'contendas do sincorá', 'santa terezinha', 'aiquara', 'catu', 'coaraci', 'carinhanha', 'paratinga', 'urandi', 'itabela', 'iraquara', 'mirangaba', 'aramari', 'ibicoara', 'livramento de nossa senhora', 'belo campo', 'manoel vitorino', 'conceição do coité', 'casa nova', 'caravelas', 'mansidão', 'piripá', 'prado', 'aratuípe', 'lajedo do tabocal', 'planalto', 'são josé do jacuípe', 'caldeirão grande', 'baixa grande', 'santa luzia', 'sítio do mato', 'firmino alves', 'vera cruz', 'cândido sales', 'rodelas', 'fátima', 'terra nova', 'jandaíra', 'américa dourada', 'alcobaça', 'araçás', 'lagoa real', 'itiúba', 'juazeiro', 'itaeté', 'palmeiras', 'bom jesus da serra', 'lajedinho', 'ubaíra', 'wanderley', 'santa cruz cabrália', 'presidente tancredo neves', 'monte santo', 'itaju do colônia', 'itapebi', 'feira da mata', 'jussiape', 'maetinga', 'jucuruçu', 'itaberaba', 'souto soares', 'cravolândia', 'maiquinique', 'morro do chapéu', 'sítio do quinto', 'camaçari', 'gongogi', 'guanambi', 'ponto novo', 'cabaceiras do paraguaçu', 'nordestina', 'itapé', 'euclides da cunha', 'vitória da conquista', 'nova redenção', 'floresta azul', 'brejolândia', 'acajutiba', 'lençóis', 'mundo novo', 'adustina', 'condeúba', 'senhor do bonfim', 'guajeru', 'ibirataia', 'campo formoso', 'curaçá', 'rio do pires', 'itamari', 'santa bárbara', 'angical', 'ubatã', 'mucuri', 'abaré', 'abaíra', 'caraíbas', 'bom jesus da lapa', 'pau brasil', 'anagé', 'ituberá', 'catolândia', 'muniz ferreira', 'teixeira de freitas', 'barra do choça', 'são félix do coribe', 'rafael jambeiro', 'wenceslau guimarães', 'nazaré', 'canápolis', 'iuiu', 'serrolândia', 'ichu', 'apuarema', 'são gonçalo dos campos', 'aporá', 'santo amaro', 'buerarema', 'brotas de macaúbas', 'tanhaçu', 'itamaraju', 'macururé', 'filadélfia', 'pé de serra', 'coribe', 'caetité', 'malhada de pedras', 'piritiba', 'conde', 'vereda', 'valente', 'lafaiete coutinho', 'ibirapuã', 'alagoinhas', 'cafarnaum', 'mucugê', 'serra dourada', 'são félix', 'crisópolis', 'seabra', 'várzea nova', 'licínio de almeida', 'cícero dantas', 'ipupiara', 'biritinga', 'almadina', 'riacho de santana', 'feira de santana', 'pedrão', 'remanso', 'irajuba', 'piatã', 'serrinha', 'cachoeira', 'palmas de monte alto', 'barra do rocha', 'riachão do jacuípe', 'santana', 'glória', 'santanópolis', 'barra do mendes', 'sebastião laranjeiras', 'santa brígida', 'rio real', 'laje', 'sapeaçu', 'canavieiras', 'potiraguá', 'pedro alexandre', 'sento sé', 'ibipitanga', 'itiruçu', 'paulo afonso', 'coração de maria', 'caturama', 'cairu', 'itagi', 'caetanos', 'tucano', 'itatim', 'ipiaú', 'xique-xique', 'malhada', 'rio de contas', 'candiba', 'santo estêvão', 'itapicuru', 'santaluz', 'entre rios', 'varzedo', 'mortugaba', 'cordeiros', 'amargosa', 'várzea da roça', 'tanque novo', 'maracás', 'santa maria da vitória', 'mutuípe', 'barra da estiva', 'novo triunfo', 'saúde', 'conceição da feira', 'andorinha', 'jussara'}\n", + "Municípios exclusivos em df_co2: {'outros'}\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Municípios que estão em ambos os DataFrames\n", + "municipios_comuns = set(df_desmatamento['MUNICIPIO'].unique()).intersection(set(df_co2['Municípios'].unique()))\n", + "print(\"Municípios em ambos os DataFrames:\", municipios_comuns)\n" + ], + "metadata": { + "id": "Y1u6byQ3wyx3", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "24e6574c-00fc-4e11-f49d-42aed684babf" + }, + "execution_count": 186, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Municípios em ambos os DataFrames: {'jaborandi', 'itapetinga', 'itarantim', 'dário meira', 'cocos', 'formosa do rio preto', 'santa rita de cássia', 'ibirapitanga', 'riachão das neves', 'jequié', 'luís eduardo magalhães', 'encruzilhada', 'barreiras', 'baianópolis', 'valença', 'iguaí', 'ilhéus', 'nilo peçanha', 'maraú', 'cotegipe', 'são desidério', 'itagibá', 'barra', 'ibicuí', 'itambé', 'igrapiúna', 'camamu', 'guaratinga', 'correntina', 'belmonte'}\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Conta os códigos únicos\n", + "num1 = df_combined['Municipio'].nunique()\n", + "\n", + "print(f\"Existem {num1} valores únicos no arquivo CSV.\")\n", + "\n", + "# Conta os códigos únicos\n", + "num2 = df_combined['Ano'].nunique()\n", + "\n", + "print(f\"Existem {num2} valores únicos no arquivo CSV.\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "0s1t5ucb98_G", + "outputId": "bf953e95-ad19-4fff-e4d4-f6ddff51165f" + }, + "execution_count": 189, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Existem 393 valores únicos no arquivo CSV.\n", + "Existem 4 valores únicos no arquivo CSV.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "5aY0j-69-tgq" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "0J0luGwP981C" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Unindo as tabelas pelo ano\n", + "df_unido = pd.merge(df_desmatamento, df_co2, left_on=['ANODETEC'], right_on=['Ano'], how='outer')\n", + "df_unido.head()" + ], + "metadata": { + "id": "ZSxqzlNRxQpo", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 206 + }, + "outputId": "c6034e5b-1532-4ac8-e78c-2762f9307382" + }, + "execution_count": 191, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO \\\n", + "0 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", + "1 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", + "2 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", + "3 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", + "4 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", + "\n", + " Municípios Ano CO2_emitido \n", + "0 são desidério 2019 2024107 \n", + "1 formosa do rio preto 2019 4220327 \n", + "2 jaborandi 2019 1706967 \n", + "3 correntina 2019 1545572 \n", + "4 barreiras 2019 1568927 " + ], + "text/html": [ + "\n", + "
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BIOMAESTADOMUNICIPIOAREAHAANODETECVPRESSAOMunicípiosAnoCO2_emitido
0Mata AtlânticaBAHIAcândido sales21.22019agriculturesão desidério20192024107
1Mata AtlânticaBAHIAcândido sales21.22019agricultureformosa do rio preto20194220327
2Mata AtlânticaBAHIAcândido sales21.22019agriculturejaborandi20191706967
3Mata AtlânticaBAHIAcândido sales21.22019agriculturecorrentina20191545572
4Mata AtlânticaBAHIAcândido sales21.22019agriculturebarreiras20191568927
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"1e4de6a4-7a56-4370-d86f-27fa5fb2fdc4" + }, + "execution_count": 195, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Existem 31 valores únicos no arquivo CSV.\n", + "Existem 4 valores únicos no arquivo CSV.\n", + "Existem 392 valores únicos no arquivo CSV.\n", + "Existem 4 valores únicos no arquivo CSV.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Salvando o arquivo final em CSV INTEGRADO PELO ANO\n", + "df_unido.to_csv('dados_integrados.csv', index=False, encoding='utf-8')" + ], + "metadata": { + "id": "oGNhlhwlsaTK" + }, + "execution_count": 197, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "Integrando de outra forma" + ], + "metadata": { + "id": "srl3RNKlHDgb" + } + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import numpy as np\n", + "\n", + "# importando dados\n", + "\n", + "df_desmatamento = pd.read_csv('desmatamento.csv')\n", + "\n", + "df_co2 = pd.read_csv('co2.csv')\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df_desmatamento.head())\n", + "\n", + "print(df_co2.head())\n", + "\n", + "#df_integrado = pd.read_csv('dados_integrados.csv')\n", + "\n", + "\n", + "#correlation = df_co2['CO2_emitido'].corr(df_desmatamento['AREAHA'])\n", + "#print(f'A correlação entre emissões de CO2 e desmatamento é: {correlation}')\n", + "\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "V4nELkDH7DpW", + "outputId": "3e007f6d-addc-45bb-e929-0f827e100adb" + }, + "execution_count": 217, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", + "1 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", + "2 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", + "3 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", + "4 Cerrado BAHIA Baianópolis 2.91 2021 agriculture\n", + " Municípios Ano CO2_emitido\n", + "0 São Desidério 2019 2024107\n", + "1 Formosa do Rio Preto 2019 4220327\n", + "2 Jaborandi 2019 1706967\n", + "3 Correntina 2019 1545572\n", + "4 Barreiras 2019 1568927\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "\n", + "# Exibir as primeiras linhas de cada arquivo para verificar as colunas e o conteúdo\n", + "df_desmatamento_head = df_desmatamento.head()\n", + "df_co2_head = df_co2.head()\n", + "\n", + "# Verificar as informações gerais de cada dataframe\n", + "df_desmatamento_info = df_desmatamento.info()\n", + "df_co2_info = df_co2.info()\n", + "\n", + "df_desmatamento_head, df_co2_head, df_desmatamento_info, df_co2_info\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rVTDUEMLu0_O", + "outputId": "c9f90705-7b79-45b4-9216-2b293fd4da20" + }, + "execution_count": 219, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 17026 entries, 0 to 17025\n", + "Data columns (total 6 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 BIOMA 17026 non-null object \n", + " 1 ESTADO 17026 non-null object \n", + " 2 MUNICIPIO 17026 non-null object \n", + " 3 AREAHA 17026 non-null float64\n", + " 4 ANODETEC 17026 non-null int64 \n", + " 5 VPRESSAO 17026 non-null object \n", + "dtypes: float64(1), int64(1), object(4)\n", + "memory usage: 798.2+ KB\n", + "\n", + "RangeIndex: 124 entries, 0 to 123\n", + "Data columns (total 3 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Municípios 124 non-null object\n", + " 1 Ano 124 non-null int64 \n", + " 2 CO2_emitido 124 non-null int64 \n", + "dtypes: int64(2), object(1)\n", + "memory usage: 3.0+ KB\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "( BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + " 0 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", + " 1 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", + " 2 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", + " 3 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", + " 4 Cerrado BAHIA Baianópolis 2.91 2021 agriculture,\n", + " Municípios Ano CO2_emitido\n", + " 0 São Desidério 2019 2024107\n", + " 1 Formosa do Rio Preto 2019 4220327\n", + " 2 Jaborandi 2019 1706967\n", + " 3 Correntina 2019 1545572\n", + " 4 Barreiras 2019 1568927,\n", + " None,\n", + " None)" + ] + }, + "metadata": {}, + "execution_count": 219 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Normalizar os nomes das colunas para facilitar a junção e verificar correspondência de chaves\n", + "df_desmatamento.rename(columns={'MUNICIPIO': 'Municípios', 'ANODETEC': 'Ano'}, inplace=True)\n", + "\n", + "# Verificar a quantidade de municípios e anos que coincidem nos dois datasets\n", + "municipios_comum = set(df_desmatamento['Municípios']).intersection(set(df_co2['Municípios']))\n", + "anos_comum = set(df_desmatamento['Ano']).intersection(set(df_co2['Ano']))\n", + "\n", + "# Quantidade de municípios e anos em comum\n", + "num_municipios_comum = len(municipios_comum)\n", + "num_anos_comum = len(anos_comum)\n", + "\n", + "num_municipios_comum, num_anos_comum\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "B58xXrNYF9Bb", + "outputId": "1e302408-98f5-4d96-ff9a-0a818348039d" + }, + "execution_count": 220, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(30, 4)" + ] + }, + "metadata": {}, + "execution_count": 220 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Realizar a junção dos dois datasets com base em 'Municípios' e 'Ano'\n", + "dados_combinados = pd.merge(df_desmatamento, df_co2, on=['Municípios', 'Ano'], how='inner')\n", + "\n", + "# Exibir as primeiras linhas do dataset combinado para verificar a integração\n", + "dados_combinados_head = dados_combinados.head()\n", + "\n", + "# Verificar o tamanho do novo dataset\n", + "dados_combinados_tamanho = dados_combinados.shape\n", + "\n", + "dados_combinados_head, dados_combinados_tamanho\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "tNNll3UXF84k", + "outputId": "7fdfe688-bd69-4b28-e2fe-13e7f85b898e" + }, + "execution_count": 221, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "( BIOMA ESTADO Municípios AREAHA Ano VPRESSAO \\\n", + " 0 Cerrado BAHIA São Desidério 12.52 2021 agriculture \n", + " 1 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture \n", + " 2 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture \n", + " 3 Cerrado BAHIA Baianópolis 2.91 2021 agriculture \n", + " 4 Cerrado BAHIA Santa Rita de Cássia 2.30 2021 agriculture \n", + " \n", + " CO2_emitido \n", + " 0 3159579 \n", + " 1 654262 \n", + " 2 761963 \n", + " 3 1700892 \n", + " 4 998700 ,\n", + " (4368, 7))" + ] + }, + "metadata": {}, + "execution_count": 221 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Calcular a correlação entre 'AREAHA' e 'CO2_emitido'\n", + "correlacao = dados_combinados['AREAHA'].corr(dados_combinados['CO2_emitido'])\n", + "correlacao\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "0EBI-vpdF8v_", + "outputId": "0e49874e-f46e-4eb2-a65f-e6660bc2c9e3" + }, + "execution_count": 222, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "0.19009654611995852" + ] + }, + "metadata": {}, + "execution_count": 222 + } + ] + }, + { + "cell_type": "markdown", + "source": [], + "metadata": { + "id": "tANvvvt5Lajc" + } + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "# Criar um DataFrame com os dados fornecidos\n", + "data = {\n", + " 'Ano': [2019, 2020, 2021, 2022],\n", + " 'CO2_emitido': [33720252, 33245171, 31815256, 31412973],\n", + " 'AREAHA': [64554.41, 113073.16, 154250.73, 227779.90]\n", + "}\n", + "\n", + "df = pd.DataFrame(data)\n", + "\n", + "# Criar gráfico de barras\n", + "fig, ax1 = plt.subplots(figsize=(12, 6))\n", + "\n", + "# Gráfico de barras para CO2\n", + "ax1.bar(df['Ano'], df['CO2_emitido'], color='blue', alpha=0.6, label='CO2 Emitido (toneladas)')\n", + "ax1.set_xlabel('Ano')\n", + "ax1.set_ylabel('CO2 Emitido (toneladas)', color='blue')\n", + "ax1.tick_params(axis='y', labelcolor='blue')\n", + "\n", + "# Criar um segundo eixo y para Área Desmatada\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(df['Ano'], df['AREAHA'], color='red', marker='o', label='Área Desmatada (ha)')\n", + "ax2.set_ylabel('Área Desmatada (ha)', color='red')\n", + "ax2.tick_params(axis='y', labelcolor='red')\n", + "\n", + "# Adicionar título e legenda\n", + "plt.title('Comparação entre Emissão de CO2 e Área Desmatada por Ano')\n", + "fig.tight_layout()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 601 + }, + "id": "dCJ-RIZTLa0L", + "outputId": "4e2d57da-5932-4533-a009-fbba896c90a9" + }, + "execution_count": 231, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# com dados somente de desmatamento do SEEG\n", + "\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "# Criar um DataFrame com os dados fornecidos\n", + "data = {\n", + " 'Ano': [2019, 2020, 2021, 2022],\n", + " 'CO2_emitido': [32806856, 32098731, 30954581, 30209999],\n", + " 'AREAHA': [64554.41, 113073.16, 154250.73, 227779.90]\n", + "}\n", + "\n", + "df = pd.DataFrame(data)\n", + "\n", + "# Criar gráfico de barras\n", + "fig, ax1 = plt.subplots(figsize=(12, 6))\n", + "\n", + "# Gráfico de barras para CO2\n", + "ax1.bar(df['Ano'], df['CO2_emitido'], color='blue', alpha=0.6, label='CO2 Emitido (toneladas)')\n", + "ax1.set_xlabel('Ano')\n", + "ax1.set_ylabel('CO2 Emitido (toneladas)', color='blue')\n", + "ax1.tick_params(axis='y', labelcolor='blue')\n", + "\n", + "# Criar um segundo eixo y para Área Desmatada\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(df['Ano'], df['AREAHA'], color='red', marker='o', label='Área Desmatada (ha)')\n", + "ax2.set_ylabel('Área Desmatada (ha)', color='red')\n", + "ax2.tick_params(axis='y', labelcolor='red')\n", + "\n", + "# Adicionar título e legenda\n", + "plt.title('Comparação entre Emissão de CO2 e Área Desmatada por Ano')\n", + "fig.tight_layout()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 601 + }, + "id": "5iod6JkuWrwP", + "outputId": "a008303b-6ead-4541-9430-9039a86547e5" + }, + "execution_count": 246, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# com dados somente de desmatamento do SEEG\n", + "\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Criar um DataFrame com os dados fornecidos\n", + "data = {\n", + " 'Ano': [2019, 2020, 2021, 2022],\n", + " 'CO2_emitido': [32806856, 32098731, 30954581, 30209999],\n", + " 'AREAHA': [64554.41, 113073.16, 154250.73, 227779.90]\n", + "}\n", + "\n", + "df = pd.DataFrame(data)\n", + "\n", + "# Calcular a correlação\n", + "correlation = df[['CO2_emitido', 'AREAHA']].corr()\n", + "\n", + "# Exibir a correlação\n", + "print(\"Coeficiente de Correlação:\")\n", + "print(correlation)\n", + "\n", + "# Criar um mapa de calor\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation, annot=True, cmap='coolwarm', center=0, cbar_kws={\"shrink\": .8})\n", + "plt.title('Mapa de Calor da Correlação entre CO2 Emitido e Área Desmatada')\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 622 + }, + "id": "S83kpX3XLvwN", + "outputId": "4d0f0764-148c-40f4-d0b0-0bdd5b6a0d4a" + }, + "execution_count": 251, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Coeficiente de Correlação:\n", + " CO2_emitido AREAHA\n", + "CO2_emitido 1.000000 -0.981453\n", + "AREAHA -0.981453 1.000000\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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H6tGjh1C/fn0hLS1NEARBePLkiWBvby80bNhQePHihUIZy5cvF+zt7YVx48YppMfExAiOjo7CypUrFdJv374tODk5KaRPnDixWK/Bw4cPhc8++0wYPny4wvslCG8/W3lev36tdO7fffedUK9ePfnnMTs7W/Dw8BDat28vZGZmyvMdPXpUsLe3F5YtW6ZUxrtWrFgh1K9fX3jw4IFC+qJFiwRHR0chLi5OEIR/X0t3d3chOTlZni/vvTty5Ig8bebMmYK9vb3SsQp7Pz7UdXbr1i3B3t5emDNnTqH5OnToILi7uxeaZ8WKFYK9vb1w+vTpIo87ceJE+Xfb+48BAwbI8+Vd2wMGDFD4LPTo0UNwcHAQpk+fLk978+aN4OXlJfTp00fhWPb29sLy5cvlz9etW6fwffGuFi1aCBMnTpQ//+GHHwR7e3vh2rVr8rQXL14Irq6uxf7Oyc+UKVMET09PISkpSSF97Nixgqura77fhe8bMmSI0LNnT/nznTt3Ck5OTkqfrbzXftGiRQrpFy5cEOzt7YV9+/YppJ84cUIpPb/6vH8tFuTd382CuLq6Cp07d5Y/F3s9dOzYUem39n15579q1Sp5WkpKiuDi4iI4ODgI4eHh8vT79+8rfX6ysrKUvqeePHkiODs7CyEhIfK069evK/1+5snv9Vu9erXg4OAgxMbGytM+xO8NqUexl+rx9/dHVlYWjh49ivT0dBw7dqzQyQzvjuVISUlBWloaXF1d8ffffyvlbdCgAZydneXPra2t0bJlS5w8eVLeTfBueTk5OXj58iVsbGwglUrzLfNdJ06cQJkyZdCrVy95mq6uLvr06aOQLzk5GWfPnoW/vz/S09ORlJSEpKQkvHz5Es2aNcPDhw8L7RpMT08HABgbGxdanzzvnlNWVhaSkpJQr149AMDNmzcL3O/06dPIyclBv379FLrWunfvDhMTExw/flwhv76+Prp06VJkfRISEnDr1i18/vnnMDU1lad7enqiVq1ahda/qPf4Xaq+TidOnIClpSXat28vT9PT00Pfvn3x+vVrpSEOrVu3LrClpWfPngrPo6KiIJPJ4O/vL3+/k5KSUKFCBVSvXh3nzp0rtG5iXoNDhw5BJpNh+PDhSl2h77Yuv9t6nvf5a9SoETIyMuRdpTdu3MCLFy/Qq1cvhdYhHx8f2NnZ4dixY4XWNzIyEq6urpBKpQrn27RpU+Tm5iq9lgEBAQott3mT5p48eVLocd71/vvxIa8zsXmNjY3lefNz4cIFrFixAv7+/vDw8CjyuMDbsYj/+9//lB55Xajv6tatm8JnwcXFBYIgyLsGgbffWc7Oziq99kU5fvw46tevDxcXF3mahYWF0ne7qt857xIEAQcPHoSvry8EQVD43DVr1gxpaWmFft8BwMuXL3Hy5EmF74DWrVtDIpFg//79+e7z7vc98Pazb2pqCk9PT4U61KlTB0ZGRgrX+rvXdUHXYkkYGRnh1atXAFS7HqRSKe7evYuHDx8WeYzu3bvL/5ZKpahRowbKli0Lf39/ebqdnR2kUqnCZ0pfX1/+Hufm5uLly5cwMjJCjRo1ivxuz/Pu6/f69WskJSWhQYMGEARBXsaH+r0h9ShWtzXw9gvFw8MDYWFhyMzMRG5ubr7jjfIcPXoUK1euxK1bt5CdnS1Pz68rtnr16kpptra2yMjIQFJSEiwtLZGZmYnVq1fj999/R3x8vMK4n4LGLuaJjY2FpaWl0g/I+0t5PH78GIIgYNmyZVi2bFm+Zb148aLAiQx5XVGvXr0StURGcnIyQkJCEBERgRcvXihsK+yc4uLiALy98N+lr6+PatWqITY2ViG9YsWKogbK55Wb3/uR3xeHKu/xu959ncSIjY1F9erVlQKvmjVrKtQ7T9WqVQss6/1tDx8+hCAIBS4L9O4EsfyIeQ0eP34MHR0deX0LcvfuXfz00084e/asUiCT93nIO9f8lnuys7PDpUuXCj3Go0ePcPv27QIDoPe7WStXrqzwPC+QVGXtyfdf8w95nYn9rL169arAAPP+/fsYMWIEateune/s6YLo6uqiadOmovK+v1RQ3o/p+6+/qamp0vi8koiLi5P/w/qu9z9fqn7nvCspKQmpqanYuXOnwrjS9/MUJiIiAjk5OXB0dMSjR4/k6S4uLggNDUXv3r0V8pcpU0ap6/PRo0dIS0sr8LP/7newmGuxJF6/fi0fPqTK9TBq1CgMGzYMbdq0gb29PZo1a4ZOnTopzdw2MDBQ+gfa1NQUlSpVUvp+NjU1VbieZTIZNm/ejG3btiEmJkZhnKe5ubmo84uLi8Py5ctx5MgRpc9r3uv5oX5vSD2KHTwCQPv27fHdd98hMTERXl5eBX5xX7x4EV9//TXc3Nzw/fffw9LSEnp6eti9ezfCwsKKdezZs2fj999/R2BgIOrXrw9TU1NIJBKFsWsllTdIfMCAAWjevHm+eWxsbArcP++L9c6dO0rLGuVnzJgxuHLlCoKCguDo6AgjIyPIZDIMHDhQbecEQCMz+kryHr/7OmlCYef7/lgumUwGiUSCtWvX5ruESmEzNNX5OU9NTUWfPn1gYmKCUaNGwcbGBgYGBrh58yYWLVqktnv4ymQyeHp6YuDAgflut7W1VXhe0LIyqnw+338/PuR1ZmNjgzJlyuD27dsF5snOzsaDBw8Uej/yPH36FEFBQTAxMcGaNWs0tj5fQbfZ04bb7+W93x07dsTnn3+eb568SVYFyZvU8X5rYp4nT54ojGl9t/Xs3XqUL18eixYtyreMvGBL09fis2fPkJaWJv+Mq3I9uLm5ISoqCocPH8apU6fw22+/YdOmTZg5c6ZCS2NB162Y63nVqlVYtmwZunbtitGjR8PMzAw6OjqYO3euqOs+NzcX/fv3R0pKCgYOHAg7OzsYGRkhPj4ekyZNKtbrp4mYglRTouCxVatW+P7773H16tVCl5w5cOAADAwMsH79eoUWr927d+eb/93/JPM8fPgQZcuWlV/QBw4cQOfOnRVmCmZlZYn6L7BKlSo4e/asUuvCgwcPFPLlffno6emJbjF4V4sWLbB69Wrs27evyB+1lJQUnDlzBiNHjsSIESPk6WK6I/JaKaKjoxW+MLOzsxETE1Osur9bbn7vx/uvlarv8btq1KiBGjVq4PDhw4W2+OSpUqUKbt++DZlMpvCDkNd99H6rjSpsbGwgCAKqVq2q8uLtYl8DGxsbyGQy3L9/v8D10M6fPy9viXZzc5Onv7+aQN65PnjwQKkF5cGDB0W+FjY2Nnj9+nWxPyP5UfU//w95nRkZGaFx48Y4e/YsYmNjUaVKFaU8ERERyM7OVpjdD7ztKh0wYACys7Oxbdu2T2LNTUC198Pa2lrU9V6S7xwLCwsYGxtDJpMV6/1+8uQJrly5gj59+ihcG8DbwOvbb79FaGgohg0bVmg5NjY2OHPmDBo2bFjoP5hir8Xi+uOPPwBAPlFO1evB3NwcXbt2RdeuXfHq1Sv06dMHwcHBCsFjSRw4cACNGzfG3LlzFdJTU1MVJosV9Dm7c+cOHj58iAULFihM7Hp3Rjjw4X5vSD1K9G+ssbExZsyYgZEjRxZ66yBdXV1IJBKF5u6YmJgCl+G4cuWKwpiXp0+f4vDhw/D09JT/p5Tff0xbtmwRtXSCl5cX3rx5g+3bt8vTcnNzsXXrVoV85cuXh7u7O3bu3ImEhASlcorqWslbEuHXX3/FoUOHlLZnZ2djwYIFBZ4PAGzatKnI82natCn09PSwZcsWhf8Ef/vtN6SlpRV74VwrKys4Ojpiz549CkH5qVOncO/ePYW8qr7H7xs1ahSSk5Mxbdq0fNdzPHnyJI4ePQrg7fv3/PlzREREyLe/efMGW7ZsgZGRkdIPiipat24NXV1dhISEKP1XLQhCocsmiX0N/Pz8oKOjgxUrVij91513zLyg+N065AUt73J2dkb58uWxY8cOha6b48eP4/79+0XOOvT398eVK1fw559/Km1LTU0t1tqaeWM1xXZlf8jrDAC+/vprCIKASZMmKS0V8uTJEyxatAiWlpbo0aOHPP3169cYPHgw4uPjsWbNGqUW2Y9Z3vsh5h9rb29vXL16VWH5paSkJKXlW0rynaOrq4s2bdrgwIED+fY2FPV+59Vl4MCBaNu2rcIjICBAPuu6KP7+/sjNzcXPP/+stO3Nmzfyz6/Ya7E4zpw5g59//hlVq1ZFx44dAah2Pbz/fWRsbAwbGxuF74KS0tXVVfou3L9/v9I45IKu+/xeP0EQsHnzZoV8H/L3hkquRC2PAArsdniXt7c3/ve//2HgwIFo3749Xrx4gW3btsHGxibf7iN7e3sEBQUpLNUDQOGOFT4+Pvjjjz9gYmKCWrVq4erVqzh9+rSoMRi+vr5o2LAhFi9ejNjYWNSqVQsHDx7M98v1+++/x5dffokOHTrgiy++QLVq1ZCYmIirV6/i2bNnSmtzvW/hwoUYMGAARowYgRYtWsDDwwNly5bFo0ePEBERgYSEBEycOBEmJiZwc3PDunXrkJOTg4oVK+LUqVOi/ru1sLDAkCFDEBISgoEDB8LX1xcPHjzAtm3b5GsgFte4ceMwZMgQfPnll+jatSuSk5OxdetW1K5dG69fv5bnU/U9fl9AQABu376NVatW4e+//0b79u3ld5j5888/cebMGSxevBgA0KNHD+zcuROTJk3CzZs3UaVKFRw4cACXL1/GlClTStSVaGNjgzFjxsg/G35+fjA2NkZMTAwOHTqEL774AkFBQfnuK/Y1qF69OoYOHYqff/4ZX375JVq3bi2/RZ2VlRXGjx+PBg0awMzMDJMmTULfvn0hkUjwxx9/KH2J6+npYcKECZg8eTL69OmDdu3ayZfqqVKlSpFLngQFBeHIkSMYOnQoPv/8c9SpUwcZGRm4c+cODhw4gMOHDxc42aggderUAfB2uZlmzZpBV1cX7dq1K3SfD3WdAW+7+iZOnIh58+bJu07fvcOMTCbDmjVrFCYGTZgwAdevX0fXrl1x//59+dqUwNsfbD8/vyJflzdv3shbmd7XqlUrjS1anfd+LF26FAEBAdDT00OLFi3yPd7AgQPxxx9/YODAgejXr598qR5ra2uFz3BJv3PGjx+Pc+fO4YsvvkD37t1Rq1YtpKSk4ObNmzhz5gzOnz9f4L6hoaFwdHRUGv+Zx9fXF7Nnz8bNmzfl554fd3d39OjRA6tXr8atW7fg6ekJPT09PHz4EJGRkZg6dSratm0r+losyokTJxAdHY3c3FwkJibi3LlzOHXqFKytrbFy5UqFITRir4d27drB3d0dderUgbm5Of766y8cOHBAafJnSfj4+GDFihWYPHkyGjRogDt37iA0NFRpqau8Cas7duyAsbExjIyM4OLiAjs7O9jY2GDBggWIj4+HiYkJDhw4kO8/lx/q94ZKrsTBoxgeHh744YcfsHbtWsydOxdVq1bFhAkTEBsbm+8b7ebmhvr162PFihWIi4tDrVq1MG/ePIVBwFOnToWOjg5CQ0ORlZWFhg0byj9MRdHR0cHKlSsxd+5c7Nu3DxKJRL5Y7vvrpdWqVQu7d+9GSEgI9uzZg+TkZFhYWMDJyQnDhw8v8lgWFhbYsWMHtm3bhoiICCxduhQ5OTmoUqUKfH190a9fP3nexYsXY/bs2di2bRsEQYCnpyfWrl1b4LiXd40cORIWFhbYunUr5s2bBzMzM3zxxRcYN25coeutFcXLywvLli3DTz/9hMWLF8PGxgbz5s3D4cOHFb7gVX2P8zN27Fg0adIEW7Zswfbt25GSkgKpVIp69erh559/RsuWLQG8HTO3ZcsWLFq0CHv27EF6ejpq1KiBefPmiZpFXpTBgwfD1tYWGzduxIoVKwAAlSpVgqenZ6Et7Kq8BqNHj0bVqlWxdetWeauYu7u7fK3CcuXKYdWqVViwYAF++uknSKVSdOzYER4eHkrBa5cuXWBoaIi1a9di0aJFMDIygp+fH7755psiJ5CULVsWW7ZswerVqxEZGYm9e/fCxMQEtra2GDlypMKsR7Fat26Nvn37Ijw8HPv27YMgCEUGjx/yOgOAr776Cs7OztiwYQM2bdqE9PR0WFpaom3bthg6dKhSd3begsi7d+9W6hqrUqWKqOAxOzsb3377bb7bDh8+rLHg0cXFBaNHj8aOHTvw559/QiaTFXg8KysrbN68GXPmzMGaNWtgbm6Onj17wsrKSmnNz5J851SoUAG//vorVqxYgaioKGzfvh3m5uaoVatWvrPP89y8eRPR0dGFdkm3aNECs2fPlt99pjCzZs2Cs7MzduzYgaVLl0JXVxdVqlRBx44d5WsUqnItFiZvPUM9PT2Ym5vD3t4eU6ZMyffe1mKvh759++LIkSM4deqU/F7uY8aMUaleRRk6dCgyMjIQGhqKiIgIODk5YfXq1fJ/5vPo6elh/vz5WLJkCWbMmIE3b97Iv5NXrVqFOXPmYPXq1TAwMECrVq3Qu3dvpbVZP+TvDZWMRFDnTAw1cHBwQO/evTF9+vTSrgrRBxETE4MBAwYgLCzsk79dHBERab9Pf+oe0SeuatWqMDIyKnJZHSIioo/BB+m2JqL8BQcHo1y5cnj06JHCmB4iIqKPFYNHolK0d+9eJCQkoHHjxqLGthIREZW2j27MIxERERF9vDjmkYiIiIhEY/BIRERERKIxeCQiIiIi0Rg8EhEREZFon8Rs63A9h9KuAhFpyIL260u7CkSkISf2NCvtKpAGsOWRiIiIiERj8EhEREREojF4JCIiIiLRGDwSERERkWgMHomIiIhINAaPRERERCQag0ciIiIiEo3BIxERERGJxuCRiIiIiERj8EhEREREojF4JCIiIiLRGDwSERERkWgMHomIiIhINAaPRERERCQag0ciIiIiEo3BIxERERGJxuCRiIiIiERj8EhEREREojF4JCIiIiLRGDwSERERkWgMHomIiIhINAaPRERERCQag0ciIiIiEo3BIxERERGJxuCRiIiIiERj8EhEREREojF4JCIiIiLRGDwSERERkWgMHomIiIhINAaPRERERCQag0ciIiIiEo3BIxERERGJxuCRiIiIiERj8EhEREREojF4JCIiIiLRGDwSERERkWgMHomIiIhINAaPRERERCQag0ciIiIiEo3BIxEREZEGPHr0CNOnT0enTp3g5OSE9u3bi9pPEASsWbMGPj4+cHFxQY8ePXD16lWlfPHx8Rg5ciQaNGgAd3d3TJ06Fenp6Wo+C2UMHomIiIg04O7duzh+/DiqV6+OmjVrit5v7dq1WL58Ob766iusXr0alpaWGDBgAJ48eSLPk5OTg4EDB+Lhw4dYvHgxZsyYgZMnT2L8+PGaOBUFZTR+BCIiIqL/IF9fX/j5+QEAJk2ahBs3bhS5T1ZWFlavXo0BAwbgq6++AgC4urqibdu2WL9+PWbMmAEAOHDgAO7evYuIiAjY2dkBAKRSKYKCgnD9+nW4uLho5JwAtjwSERERaYSOjuph1uXLl5Geng5/f395mr6+Plq1aoUTJ07I006cOAEHBwd54AgAnp6eMDc3x/Hjx0tW8SIweCQiIiL6SERHRwOAQlAIADVr1kRcXBwyMzPl+d7PI5FIUKNGDXkZmsJuayIiIqICtGzZstDthw8fVuvxUlNToa+vDwMDA4V0qVQKQRCQkpICQ0NDpKamwtTUVGl/MzMzpKSkqLVO72PwSERERFonXM9BPQV5VVVPOVqEwSMRERFRAdTdslgUqVSK7OxsZGVlKbQ+pqamQiKRwMzMTJ4vv2V5UlJSULlyZY3WkWMeiYiIiD4SeeMYHzx4oJAeHR0Na2trGBoayvO9P7ZREAQ8ePBAaSykujF4JCIiIq0j0ZOo5fGhNWzYECYmJti/f788LScnBwcPHoSXl5c8zcvLC//88w8ePnwoTztz5gySk5Ph7e2t0Tqy25qIiIi0jk6ZDx/4vS8jI0O+bE5sbCzS09MRGRkJAHB3d4eFhQUCAwMRFxeHqKgoAICBgQGGDBmC4OBgWFhYwN7eHtu3b0dycjKCgoLkZbdp0warV6/GyJEjMW7cOGRkZGDhwoXyu9JoEoNHIiIiIg148eIFRo8erZCW93zz5s1o3LgxZDIZcnNzFfIMGjQIgiBgw4YNSEpKgqOjI9avX49q1arJ8+jp6WHdunWYM2cOxo0bhzJlyqBVq1aYMmWKxs9LIgiCoPGjlJDaZkwR0UdnQfv1pV0FItKQE3ualdqxD5Svo5Zy2ry4qZZytAlbHomIiEjrfAzd1tqKwSMRERFpndKY7PJfwdnWRERERCQaWx6JiIhI67DbWnMYPBIREZHWYbe15rDbmoiIiIhEY8sjERERaR12W2sOg0ciIiLSOhJdBo+awm5rIiIiIhKNLY9ERESkdXTY8qgxDB6JiIhI60h0GDxqCrutiYiIiEg0tjwSERGR1pHosn1MUxg8EhERkdbhmEfNYfBIREREWodjHjWHbbpEREREJFqJWh7//vtvrFq1CpcvX0ZycjLMzc3h6uqKoUOHwtHRUV11JCIiIlIJu601p9jB48WLF9G/f39YWlqiXbt2KF++PF68eIGoqCj06NEDGzZsQKNGjdRZVyIiIiJReIcZzSl28Lho0SK4u7tj9erVKFPm32K+/fZbDB48GIsXL8b27dvVUkkiIiIi+jgUe8zjrVu30K9fP4XAEQB0dXXRr18//P333yWuHBEREVFxSHR01PIgZcVueSxbtixevHiR77bExESULVu22JUiIiIiKgnOttacYofULVq0wKJFi3D69GmF9NOnT2PJkiXw9fUtceWIiIiI6ONS7JbHSZMm4d69ewgKCoKJiQksLCyQlJSE9PR01K1bFxMnTlRnPYmIiIhE42xrzSl28GhmZoadO3fi6NGjuHTpElJTU2FmZgZXV1f4+PhAh+MEiIiIqJSw21pzSrTOo46ODlq2bImWLVuqqz5ERERE9BFTKXiMi4tTqXBra2uV8hMRERGpA2dKa45KwaOvry8kEvHNwLdu3VK5QkREREQlxW5rzVEpeAwJCZH//fr1ayxevBg2NjZo3bo1ypcvj8TERBw8eBBPnjzBhAkT1F5ZIiIiIjE4YUZzVAoe/fz85H9PmzYNTZs2xbx58xTy9OvXD5MnT8bp06fRoUMH9dSSiIiIiD4KxR4QEBkZifbt2+e7rV27djh06FCxK0VERERUEhIdiVoepKzYwaOurm6BtyD8+++/uVQPERERlRrenlBzir1UT8eOHbF8+XJkZWXBz89Pvkh4VFQU1qxZg549e6qznkRERET0ESh28Dhx4kSUKVMG69atw4oVK+TpBgYG6N27N8aPH6+WChIRERGpil3OmlPs4LFMmTKYOHEihg4dijt37uD58+ewtLSEvb09zMzM1FlHIiIiIpUweNScEt1hBnh7m0I3Nzd11IWIiIhIa9y/fx9z5szBlStXYGxsjE6dOmHMmDHQ19cvcJ9z586hX79++W6rUaMGIiMjC80XEBCApUuXqucECqBS8Hjw4EE0adIEUqkUBw8eLDJ/69ati10xIiIiouIq7ZbHlJQUBAYGwtbWFsHBwYiPj8f8+fORmZmJ6dOnF7hfnTp1sHPnToW09PR0DBo0CF5eXkr5582bBzs7O/nzcuXKqe8kCqBS8Dhq1Cjs2rULLi4uGDVqVKF5JRIJ7zBDREREpaK0Z0rv2LEDr169QkhICMzNzQEAubm5mDlzJoYMGYKKFSvmu5+JiQnq16+vkPb7779DJpPlu0Ri7dq1UbduXXVXv1AqBY+HDx+GpaWl/G8iIiIiUnbixAl4eHjIA0cA8Pf3x/fff49Tp06hS5cuossKCwuDra0tXFxcNFBT1akUPFapUkX+t0QigaWlJfT09JTyvXnzBgkJCSWvHREREVExqOv2hC1btix0e0GNadHR0ejatatCmlQqhaWlJaKjo0UfPzExEWfPnsXXX3+d7/bBgwcjOTkZlpaWaNeuHUaPHg1DQ0PR5RdHsSfMtGzZEjt37sw3Cv7nn3/QvXt3dlsTERFRqSjtMY+pqamQSqVK6WZmZkhJSRFdTkREBHJzc5W6rE1NTTFw4EC4ubnBwMAAZ8+exYYNGxAdHY3Vq1eXuP6FKXbwKAhCgduys7MLnUlEREREpEnqGvNY2sP0QkNDUadOHdSoUUMh3cnJCU5OTvLnHh4esLKywqxZs3D9+nWNdnGrFDzev38f9+/flz8/d+4cnj17ppAnKysL4eHhqFatmnpqSERERPSJkUqlSEtLU0pPSUkRvR7248ePcf36dUyePFlUfn9/f8yaNQs3btz4eILH/fv3IyQkBMDbMY+LFy/ON59UKsW8efNKXjsiIiKiYijtbms7OzulsY1paWl4/vy5wtI6hQkNDYWOjg4CAgI0UcViUyl4DAwMxOeffw5BEODn54eQkBA4Ojoq5NHT04OlpSUkEq7sTkRERKWjtINHLy8vrFq1SmHsY2RkJHR0dODp6SmqjPDwcLi7u8PKykp0fgAaX7pHpeDR1NQUpqamAP5dtodjG4mIiIgU9ezZE1u2bMHw4cMxZMgQxMfHY+HChejZs6fCGo+BgYGIi4tDVFSUwv5///037t+/j/79++db/oQJE1C9enU4OTnJJ8xs3LgRfn5+H1fwmJycDKlUCh0dHRgbG+P169d4/fp1gfnfXduIiIiI6EMp7UXCzczMsGnTJsyePRvDhw+HsbExunXrhrFjxyrkk8lkyM3NVdo/NDQU+vr6aNOmTb7l165dG6GhodiwYQNycnJQpUoVDB06FIMHD9bI+bxLIhQ2bfo9jo6O8uV5PvvssyK7ptW1VE+4noNayiGij8+C9utLuwpEpCEn9jQrtWM/Gda16EwiVPt5t1rK0SYqtTzOnTtXPot67ty5HNdIRERE9B+jUvD4+eefy/9W5bY6RERERB9SaXdba7NiLxJORERE9NFi76jGFDt4zMnJwf/+9z9ERkbi6dOnyMrKUspz+fLlElWOiIiIiD4uxQ4eZ86cib1798LX1xfNmzeHnp6eOutFREREVGylvc6jNit28BgVFYXJkyejd+/e6qwPERERUYlxzKPmFDt4NDIy4v2riYiI6KPElkfNKXbw2L9/f2zbtg2enp7Q1dVVZ53oP0bX2Ah244Ng7l4P5m51oW9hjmtBkxCzeU9pV42ICmBipIuhgTXg1bg8DAx0cOtuGn7e+AB3ol+J2r+Lf2V8HlAZlSsaIiU1B0dOJWL9tkfIzJIp5CtfTg/9e1aHWz1zWJjrIfFlNk6eT8KW354gNe2NJk6NiIpQ7OCxX79+SEhIQKtWrdCoUSP5fRvfNW3atBJVjv4b9CuUg/13I/D6USzSrt9GeZ/GpV0lIiqERAIsmFYHNW2NsWNvDFLS3qBz20pYNrsuBk24ipinmYXuP7SvLb7sUhVHTyfi17A42FY1QteAyqhRzQgTZt2U5ytrqIOf59dDWQNd7Il8ioTELNSyNUYX/8po4GyGQROuQvxtLui/ht3WmlPs4DEsLAwbNmyARCLBmTNnlCbMSCQSBo8kStbTBByq6oms+ESYuTqj2Vmu5k/0MfPxqIC6jlJ8t/AWjp95AQA4cuo5tq1ohP49bTB76Z0C9y1fTg9fdLRG5NEEzF3+b76YuAyMGVwTTRtZ4PTFJACAp1t5VLYyxLdzbuLspZfyvKnpb9C/hw1q2Rrj7gNxLZ3038Nua80pdvC4ePFitGnTBrNnz4aJiYk660T/MbLsHGTFJ5Z2NYhIJO+m5fHiZTZOnH0hT0tJfYOjp56jlbcV9MpIkPMm/ybBOg5SlCmjgyMnnyukHz75HGMG10TLZhXkwaOR0dshUS+TcxTyvniZDQDIylbs4iaiD6PYbbrJycn44osvGDgSEf3H2Ncwwd3odKUu41t301HWUBfVrMsWuK9embetQe8HfnljHe1r/vubcu1mCnJzBYwKsoOTvSksy+ujScNy6NetGk6cfYHHsRlqOiPSRhIdiVoepKzYwaO3tzeuXLmizroQEdEnwKKcvrz17115aeUt9Avc90nc24Cv7meK4+RdnN4+tyz/776PYjKwaOU92FYzwqoF9bB7nTsWflcHl64n4/sfb5X4PEjL6eio50FKit1t3a1bN8ycOROZmZnw8PDId8JMnTp1SlQ5IiL6+Bjo6yA7R7lbOjtHJt9ekDvRr3Dzdiq+7FIFz5OycOWvFFSvZoRxQ2oiJ0cGfX3F1TueJ2Xh1t00nL38Es8SMlHPyQxd21VGSmoOft70UK3nRUTiFDt4HDhwIABgzZo1WLNmDSTv3ENSEARIJBLcusX/DImIPlVlykggNVH8mUhOzUFWtgz6esrdefp6b4PGosYifrfwH8yY4IDJI+0BAG9yBezaF4v6dcxQrcq/Xd7On5li/tQ6+HriNdy+nw4AOHk+Ca9ev8FXPWwQfjgej2LYdU35k/De1hpT7OBx8+bN6qwHERF9ZJwdpFg+p65C2heDLyDpZTbKl1Pums5Le5Gk3KX9rsSkbIyY8heqVjaEhbk+Yp5mICk5B7+vd0NM3L/BYMfWlfEyOVseOOY5dSEJA3pVh/NnUgaPVCAu1aM5xQ4e3d3d1VkPIiL6yNx7mI6x3/+lkJaUnI27D1/BxVEKiQQKk2Yc7U2RkZkrH9dYlJinmfI1IatXLYsKFgbYfyRBvt3CXA86+UxYKPP/k250ddmyRFQaih085rl//z7++usvPHv2DF27doWlpSUePXqE8uXLcyY2EdEnLP1VLi5dT1FKP346ES2aVoBXk/LydR7NTMugRdMKOH0hSWGZHutKhgCAuGcFLxwukQBfB9ZARmYu/jjwTJ7+JC4D7g3KoX4dM1y9+W89WjazBADcjU5XKosoD2dKa06xg8eMjAxMmzYNERER0NHRgUwmQ/PmzWFpaYnFixejatWq+Pbbb9VZV9Ji1Yf1hp6ZFIbWVgAAq3YtYFilEgDg4YoteJPKHwmij8WxM4m4cTsVk0fWhm01I6Sk5qCzf2Xo6AAbdjxWyLt0pjMAoMeQi/K0UUF20NeT4O6DVyhTRgK/5pZwrG2KucvvICExS57v94in8PetiPlTHbE7/Cnin2ehXh0pWnlZ4cLVl7h1l98LVAh2W2tMsYPHBQsW4OzZs1i7di0aNWqE+vXry7d5e3tj48aNDB5JNLuxA2BkW1X+vHKXNqjcpQ0AIHbbPgaPRB8RmQz4dvZNDAusga7trGGgr4N/7qVj3vK7orqs70Sno3sHa/h5WUEQBNy6m46x39/AlRuKrZxP4jIwaMJVDOxdHa29LWFhro/El9nYvjcGG7Y/LqB0orfY8qg5xQ4eDxw4gG+//RbNmjVDbm6uwrYqVaogNja2xJWj/46jtVuWdhWISAXpr3Kx8Od7WPjzvULzvdvimCfyaAIijybkk1vZk7gMfP/jP8WqIxFpRrGDx9evX8PS0jLfbRkZnP1GREREpUciYbe1phT7lXVwcMDBgwfz3Xbs2DE4OzsXu1JEREREJaIjUc+DlBS75XHYsGEYNmwYMjIy0LZtW0gkEly/fh1hYWHYvXs31q5dq856EhEREdFHoNjBo4+PD5YsWYKFCxciNDQUADBz5kxUqlQJixYtgoeHh9oqSURERKQKLhKuOSVa57Ft27Zo27YtHjx4gJcvX8LMzAw1a9ZUV92IiIiIioWzrTVHLWF5jRo10LBhwwIDx9zcXDg6OuLmzZvqOBwRERERlZIS32FGLOHde1gRERERaRJnW2vMBwseiYiIiD4UdltrDsNyIiIiIhKNLY9ERESkfTjbWmMYPBIREZHWkUjYba0pDB6JiIhI+7DlUWM+SPAokUhgbW0NfX39D3E4IiIiolJ3//59zJkzB1euXIGxsTE6deqEMWPGFBkP+fr6IjY2Vin9+vXrMDAwkD+Pj4/HnDlzcPLkSejp6aFVq1aYPHkyTExM1H4u7/ogwaOOjg6OHDnyIQ5FREREVOqzrVNSUhAYGAhbW1sEBwcjPj4e8+fPR2ZmJqZPn17k/m3atMGAAQMU0t4NOnNycjBw4EAAwOLFi5GZmYkFCxZg/PjxWL16tXpP5j0qB4/R0dHYtm0bEhISUKtWLfTo0QMVK1ZUyHP//n3MnDkTmzdvVltFiYiIiEQr5XUed+zYgVevXiEkJATm5uYA3t40ZebMmRgyZIhS7PS+ChUqoH79+gVuP3DgAO7evYuIiAjY2dkBAKRSKYKCgnD9+nW4uLio61SUqPTK3rlzB127dkVoaCiePXuG//3vf/D398cff/yhkC89PR0XLlxQa0WJiIiIPhUnTpyAh4eHPHAEAH9/f8hkMpw6dUot5Ts4OMgDRwDw9PSEubk5jh8/XuLyC6NS8LhkyRLUqVMHR48exa5du3DixAm0a9cOkyZNQkhIiKbqSERERKQaHYl6HsUUHR2tENgBb1sGLS0tER0dXeT+oaGhcHZ2RoMGDTBo0CDcvn27yPIlEglq1KghqvySUKnb+q+//sKcOXNgZGQEADA1NcXs2bNRv359fP/990hISMCMGTM0UU8iIiIi0SRq6rZu2bJlodsPHz6cb3pqaiqkUqlSupmZGVJSUgot09fXFy4uLrC2tsaTJ0+watUqfPnll9i7dy+qVasmL9/U1LRY5ZeUSsFjdna2wiyfPF27dkWFChUwZswYJCYmIjAwUG0VJCIiIvovmTZtmvzvRo0awdPTE/7+/li/fv1H0UinUvBoa2uLixcvomnTpkrbvL298b///Q9DhgzB33//rbYKEhEREalMTbOtC2pZLIpUKkVaWppSekpKCszMzFQqy8rKCq6urrh586ZC+enp6fmWX7lyZdUrrAKV2nS9vLzw66+/IisrK9/t9evXxy+//AJBENRSOSIiIqLikOjoqOVRXHZ2dkpjD9PS0vD8+XOlsYrqKl8QBDx48EAt5RdGpVelf//+2LBhQ6HBYa1atbBnzx5s2rSpxJUjIiIi+hR5eXnh9OnTSE1NladFRkZCR0cHnp6eKpUVHx+PS5cuoW7dugrl//PPP3j48KE87cyZM0hOToa3t3eJ618YlbqtTUxMULt27SLzWVhYwN3dvdiVIiIiIiqRUr63dc+ePbFlyxYMHz4cQ4YMQXx8PBYuXIiePXsqrPEYGBiIuLg4REVFAQDCwsJw9OhReHt7w8rKCk+ePMGaNWugq6uL/v37y/dr06YNVq9ejZEjR2LcuHHIyMjAwoUL4ePjo9E1HoFi3mEmOzsbkZGRuHjxIp49ewYAqFSpEtzc3NCmTRvehpCIiIhKVynf29rMzAybNm3C7NmzMXz4cBgbG6Nbt24YO3asQj6ZTIbc3Fz586pVqyIhIQFz585FWloaTE1N0aRJE4waNUo+0xoA9PT0sG7dOsyZMwfjxo1DmTJl0KpVK0yZMkXj5yYRVBygePHiRUyYMAHx8fEQBEE+DT2vWdba2ho//vgjXF1d1VbJcD0HtZVFRB+XBe3Xl3YViEhDTuxpVmrHfr1pllrKMQos+laC/zUqheX379/HoEGDYGxsjIULF+LixYs4f/48zp8/j0uXLmHRokUwMjLCoEGDNL5AJRERERF9eCoFjz///DNsbW2xe/dudOjQASYmJvJtxsbGaN++PX799VfY2tpixYoVaq8sERERkRilPdtam6n0qpw9exZBQUEwNDQsME/ZsmUxYMAAnD17tsSVIyIiIioWiY56HqREpVclNTUVlSpVKjJfpUqVFKamExEREZF2UCl4rFSpEm7dulVkvr///ltUkElERESkEToS9TxIiUrBo5+fH1auXKmwIOX7Hj16hDVr1qB169YlrRsRERFRsUgkOmp5kDKV1nn8+uuvceTIEXTq1AmdO3dGixYt5PdPfPr0KY4dO4a9e/eiUqVKGDp0qEYqTERERESlR6XgUSqV4pdffsGMGTOwa9cu7Nq1SymPn58fvv/+e5iamqqtkkREREQqYZezxqh8h5kKFSogJCQEcXFxuHDhAuLj4wEAFStWhJubG6ytrdVeSSIiIiKVsMtZY1QKHh8+fIhx48Zh9OjR8Pb2RqdOnZTyHD9+HMuWLcOyZcsUbqNDRERERJ8+lcLyDRs2wMjICN7e3gXm8fb2hrGxMdav5y3HiIiIqJRIJOp5kBKVgsdTp06ha9euRebr2rUrTp48WexKEREREZWIjo56HqREpW7r+Ph4UV3RVatWlY+FJCIiIvrgOOZRY1R6ZY2NjfHy5csi8yUnJ8PIyKjYlSIiIiKij5NKwaOzszMiIiKKzBceHg5nZ+diV4qIiIioRHiHGY1RKXj88ssvsX//foSEhCA3N1dpu0wmQ0hICCIjI9G7d2+1VZKIiIhIJRId9TxIiUpjHlu2bImBAwciJCQEO3bsgIeHh3xdx6dPn+LMmTNITExEUFAQfH19NVJhIiIiIio9Ki8SPmHCBLi5uWHDhg04cOAAsrOzAQAGBgZo2LAh5syZU+hSPkREREQax2V2NEbl4BF4u5ajt7c3cnNzkZycDAAwNzeHrq6uOutGREREVDxcZkdjihU85tHV1UX58uXVVRciIiIi+siVKHgkIiIi+iix21pjGDwSERGR9uFMaY3hK0tEREREorHlkYiIiLQPJ8xoDINHIiIi0j4c86gxDB6JiIhI+3DMo8bwlSUiIiIi0djySERERNqH3dYaw+CRiIiItA8nzGgMX1kiIiIiEo0tj0RERKR1BHZbawyDRyIiItI+nG2tMXxliYiIiEg0tjwSERGR9mHLo8YweCQiIiKt8zGMebx//z7mzJmDK1euwNjYGJ06dcKYMWOgr69f4D4JCQnYuHEjTp06hcePH8PU1BRubm4YN24cqlSpIs937tw59OvXT2n/gIAALF26VCPnk4fBIxEREZGapaSkIDAwELa2tggODkZ8fDzmz5+PzMxMTJ8+vcD9bt68iaioKHTt2hX16tXDy5cvsXLlSnTv3h1hYWGwsLBQyD9v3jzY2dnJn5crV05j55SHwSMRERFpn1Lutt6xYwdevXqFkJAQmJubAwByc3Mxc+ZMDBkyBBUrVsx3P1dXV+zfvx9lyvwbojVs2BA+Pj7Yu3cvBgwYoJC/du3aqFu3rsbOIz8cEEBERETaRyJRz6OYTpw4AQ8PD3ngCAD+/v6QyWQ4depUgftJpVKFwBEAKlWqBAsLCyQkJBS7PurE4JGIiIi0j46Oeh7FFB0drdCdDLwNDC0tLREdHa1SWQ8ePMCLFy9Qs2ZNpW2DBw+Go6MjvLy8sGDBAmRmZha7zmKx25qIiIioAC1btix0++HDh/NNT01NhVQqVUo3MzNDSkqK6OMLgoA5c+bAysoK7dq1k6ebmppi4MCBcHNzg4GBAc6ePYsNGzYgOjoaq1evFl1+cTB4JCIiIq3zMcy2Vofg4GCcPXsW69atg5GRkTzdyckJTk5O8uceHh6wsrLCrFmzcP36dbi4uGisTgweiYiISPuoacJMQS2LRZFKpUhLS1NKT0lJgZmZmagydu3ahRUrVuCHH36Ah4dHkfn9/f0xa9Ys3LhxQ6PBI8c8EhEREamZnZ2d0tjGtLQ0PH/+XGksZH6ioqIwY8YMjBo1Ct26ddNUNYuFwSMRERFpHUGio5ZHcXl5eeH06dNITU2Vp0VGRkJHRweenp6F7nvu3DmMGzcO3bt3x/Dhw0UfMzw8HAA0vnQPu62JiIhI+5TymMeePXtiy5YtGD58OIYMGYL4+HgsXLgQPXv2VFjjMTAwEHFxcYiKigLw9q40w4cPh62tLTp16oSrV6/K81pYWMDGxgYAMGHCBFSvXh1OTk7yCTMbN26En58fg0ciIiKiT42ZmRk2bdqE2bNnY/jw4TA2Nka3bt0wduxYhXwymQy5ubny59euXUNaWhrS0tLQq1cvhbyff/455s+fD+Dt4uChoaHYsGEDcnJyUKVKFQwdOhSDBw/W+LlJBEEQNH6UEgrXcyjtKhCRhixov760q0BEGnJiT7NSO3ba+XC1lGPq3q7oTP8xbHkkIiIi7aMlS/V8jDhhhoiIiIhEY8sjERERaR81rfNIyhg8EhERkdbRljvMfIwYPBIREZH2YcujxvCVJSIiIiLR2PJIREREWkcAu601hcEjERERaZ2S3FqQCsdXloiIiIhEY8sjERERaR+2PGoMg0ciIiLSOlyqR3MYlhMRERGRaGx5JCIiIq3DCTOaw+CRiIiItA+7rTWGYTkRERERicaWRyIiItI67LbWHAaPREREpHV4hxnNYfBIREREWoctj5rDV5aIiIiIRGPLIxEREWkfzrbWGAaPREREpHUEdq5qDF9ZIiIiIhKNLY9ERESkdXhva81h8EhERERah7OtNYevLBERERGJxpZHIiIi0jpcJFxzGDwSERGR1mG3teYweCQiIiKtwwkzmsOwnIiIiIhEY8sjERERaR2OedQcBo9ERESkdTjmUXP4yhIRERGRaGx5JCIiIq3DbmvNYfBIREREWofd1prDV5aIiIhIA+7fv4/+/fujfv368PT0xMKFC5GdnV3kfoIgYM2aNfDx8YGLiwt69OiBq1evKuWLj4/HyJEj0aBBA7i7u2Pq1KlIT0/XwJkoYvBIREREWkeARC2P4kpJSUFgYCBycnIQHByMsWPHYteuXZg/f36R+65duxbLly/HV199hdWrV8PS0hIDBgzAkydP5HlycnIwcOBAPHz4EIsXL8aMGTNw8uRJjB8/vth1Fovd1kRERKR1SrvbeseOHXj16hVCQkJgbm4OAMjNzcXMmTMxZMgQVKxYMd/9srKysHr1agwYMABfffUVAMDV1RVt27bF+vXrMWPGDADAgQMHcPfuXURERMDOzg4AIJVKERQUhOvXr8PFxUVj58aWRyIiIiI1O3HiBDw8POSBIwD4+/tDJpPh1KlTBe53+fJlpKenw9/fX56mr6+PVq1a4cSJEwrlOzg4yANHAPD09IS5uTmOHz+u3pN5zyfR8rig/frSrgIRacjEsKDSrgIRacztUjuyumZbt2zZstDthw8fzjc9OjoaXbt2VUiTSqWwtLREdHR0geXlbXs3KASAmjVrYtOmTcjMzIShoSGio6OV8kgkEtSoUaPQ8tXhkwgeiYiIiFRR2ve2Tk1NhVQqVUo3MzNDSkpKofvp6+vDwMBAIV0qlUIQBKSkpMDQ0BCpqakwNTVVuXx1YPBIREREWkcQ1BM8FtSy+F/GMY9EREREaiaVSpGWlqaUnpKSAjMzs0L3y87ORlZWlkJ6amoqJBKJfF+pVJrvsjxFla8ODB6JiIhI6wjQUcujuOzs7JTGHqalpeH58+dKYxXf3w8AHjx4oJAeHR0Na2trGBoaFli+IAh48OBBoeWrA4NHIiIi0jqlvc6jl5cXTp8+jdTUVHlaZGQkdHR04OnpWeB+DRs2hImJCfbv3y9Py8nJwcGDB+Hl5aVQ/j///IOHDx/K086cOYPk5GR4e3sXu95iMHgkIiIiUrOePXvC2NgYw4cPx8mTJ7F7924sXLgQPXv2VFjjMTAwEK1atZI/NzAwwJAhQ7BhwwZs2rQJZ86cwfjx45GcnIygoH9Xp2jTpg1q166NkSNH4ujRo4iIiMCUKVPkd6XRJE6YISIiIq2jrqV6isvMzAybNm3C7NmzMXz4cBgbG6Nbt24YO3asQj6ZTIbc3FyFtEGDBkEQBGzYsAFJSUlwdHTE+vXrUa1aNXkePT09rFu3DnPmzMG4ceNQpkwZtGrVClOmTNH4uUkEQRA0fpQS8vr8ZGlXgYg0hOs8Emmvdjmlt87jP/dj1FLOZzWrqqUcbcJuayIiIiISjd3WREREpHVKu9tamzF4JCIiIq2jrkXCSRm7rYmIiIhINLY8EhERkdZht7XmMHgkIiIircPgUXMYPBIREZHWYfCoORzzSERERESiseWRiIiItA5nW2sOg0ciIiLSOjJ2W2sMu62JiIiISDS2PBIREZHW4YQZzWHwSERERFqHYx41h93WRERERCQaWx6JiIhI67DbWnMYPBIREZHWYbe15rDbmoiIiIhEY8sjERERaR12W2sOg0ciIiLSOuy21hwGj0RERKR1ZKVdAS3GMY9EREREJBpbHomIiEjrsNtacxg8EhERkdbhhBnNYbc1EREREYnGlkciIiLSOuy21hwGj0RERKR12G2tOey2JiIiIiLR2PJIREREWkcmlHYNtBeDRyIiItI67LbWHHZbExEREZFobHkkIiIircPZ1prD4JGIiIi0jsAxjxrD4JGIiIi0joxjHjWGYx6JiIiIPhJHjhxBx44dUbduXbRp0wa7d+8ucp/r169j8uTJaNWqFerVq4fWrVtj8eLFeP36tUK+4OBgODg4KD22b9+uUh3Z8khERERa51Mc83jx4kWMGDEC3bp1w5QpU3D27FlMnToVxsbGaNu2bYH77d+/H48ePcLAgQNha2uLe/fuYfny5bh27Ro2b96skNfQ0BCbNm1SSKtWrZpK9WTwSERERFrnUxzzuHLlSri4uGDWrFkAgCZNmuDJkydYvnx5ocHjoEGDYGFhIX/euHFjSKVSTJgwATdu3ICzs7N8m46ODurXr1+ierLbmoiIiKiUZWdn49y5c0pBYkBAAO7fv4+YmJgC9303cMzj5OQEAEhISFBvRcHgkYiIiLSQAIlaHh/K48ePkZOTAzs7O4X0mjVrAgCio6NVKu/SpUsAoFReZmYmmjRpAicnJwQEBGDXrl0q15Xd1kRERKR11HV7wpYtWxa6/fDhw2o5TkpKCgBAKpUqpOc9z9suRlJSEoKDg9GyZUvY2trK021sbDBhwgQ4OTkhKysLoaGh+O6775CWloagoCDR5TN4JCIiItKAtLQ0Ud3Gqk5YKUxOTg7GjRsHAJgxY4bCtk6dOik89/HxQU5ODlauXIl+/fpBT09P1DEYPBIREZHWUdds65K0LEZGRmLatGlF5ouIiICZmRmAtwHnu1JTUwFAvr0wgiBgypQpuH79OrZt2wYrK6si9/H398eBAwfw+PFjeRd5URg8EhERkdb5GGZbd+/eHd27dxeVNzs7G3p6eoiOjkbz5s3l6XljHd8fu5ifBQsWYP/+/Vi7di0+++yz4lVaBE6YISIiIipl+vr6aNy4MQ4cOKCQHhERgZo1a6Jq1aqF7r9mzRps3LgR8+fPh4eHh+jjRkREQCqVwsbGRvQ+bHkkIiIirfMp3p7w66+/Rr9+/TBjxgz4+/vj3LlzCAsLw9KlSxXyOTk5oXPnzpg7dy4AIDQ0FIsXL0bHjh1RtWpVXL16VZ7XxsZGvpRPly5d0LlzZ9jZ2SEzMxOhoaE4ePAgpkyZInq8I8DgkYiIiLTQx9BtrapGjRohODgYP/30E3777TdYW1tjzpw58Pf3V8iXm5sLmUwmf37q1CkAwL59+7Bv3z6FvPPmzUOXLl0AvA0kN27ciMTEREgkEtjb2+PHH39Ex44dVaqnRBA+/pfX6/OTpV0FItKQiWHil4cgok9Lu5zbpXbsfRdz1VJOx0a6ailHm3DMIxERERGJxm5rIiIi0jrqWiSclDF4JCIiIq3z8Q/K+3Sx25qIiIiIRGPLIxEREWkd4RNcqudTweCRiIiItA7HPGoOu62JiIiISDS2PBIREZHW4YQZzWHwSERERFqHwaPmsNuaiIiIiERjyyMRERFpHZnA2daawuCRiIiItA67rTWHwSMRERFpHQaPmsMxj0REREQkGlseiYiISOtwkXDNYfBIREREWkfghBmNYbc1EREREYnGlkciIiLSOpwwozkMHomIiEjrcMyj5rDbmoiIiIhEY8sjERERaR12W2sOg0ciIiLSOgweNYfd1kREREQkGlseiYiISOtwwozmMHgkIiIircNua81h8EhERERaRyYr7RpoL455JCIiIiLR2PJIREREWofd1prDlkciIiIiEo3BIxERERGJxm5rIiIi0jrsttYcjbQ8CoKAU6dOYdKkSZoonoiIiKhQMkE9D1Km1pbH69evIzQ0FPv370diYiLKly+vzuKJiIiIqJSVOHh8+PAhQkNDERYWhsePHwMAPD098eWXX8LLy6vEFSQiIiJSlaC2fmuJmsrRHsUKHp8/f47w8HCEhobi77//hkQigZubG3r16oUFCxZgyJAhcHNzU3ddiYiIiET5VMc8HjlyBD/99BMePHgAa2trDB48GF27di10n5iYGLRs2VIpvV69eti1a5dC2uXLl7FgwQLcunUL5cuXR69evTBo0CBIJOKDZJWDx/79++P8+fOQyWRwcnLCxIkTERAQACsrK6SlpWH+/PmqFklERET0n3fx4kWMGDEC3bp1w5QpU3D27FlMnToVxsbGaNu2bZH7jxs3Do0bN5Y/NzY2Vtj+6NEjBAUFwdPTE2PGjMHt27exaNEi6OrqIigoSHQ9VQ4ez5w5A+Bt1/SIESPQoEEDVYsgIiIi0qhP8faEK1euhIuLC2bNmgUAaNKkCZ48eYLly5eLCh6rV6+O+vXrF7h9/fr1KFeuHJYsWQJ9fX14eHggKSkJq1atQt++faGvry+qnirPtg4ODkbr1q1x8eJFfPnll/Dz88PSpUtx7949VYsiIiIi0ghBUM/jQ8nOzsa5c+eUgsSAgADcv38fMTExJT7GiRMn0LJlS4UgMSAgAKmpqbhy5YroclQOHlu1aoXly5fj1KlT+OGHH1CtWjWsW7cOHTp0QI8ePSCRSJCWlqZqsURERERq86kt1fP48WPk5OTAzs5OIb1mzZoAgOjo6CLLmDFjBhwdHeHh4YFp06YhOTlZvu3169d4+vSpUvl2dnaQSCSiys9T7NnWJiYm6NKlC7p06YLExESEh4cjLCwMgiBgxIgRcHV1xeeff44uXboU9xBEREREpSq/iSjvOnz4sFqOk5KSAgCQSqUK6XnP87bnR19fH7169UKzZs0glUpx7do1rFq1Cjdu3MCvv/4KPT09ecPe++Xr6+ujbNmyhZb/PrWs81ihQgUEBgYiMDAQjx8/xr59+xAWFoapU6cyeCQiIqIP7mOYbZ2WloaEhIQi81WrVq1Ex7GyssKMGTPkz93d3VG7dm0MGTIEUVFRCAgIKFH571P77QltbGwwYsQIjBgxAjdv3lR38URERERFEtTU51ySlsXIyEhMmzatyHwREREwMzMDAKWhf6mpqQAg3y6Wt7c3jIyMcPPmTQQEBMDU1DTf8rOzs5GRkaFS+Rq9t3WdOnU0WTwRERHRR6t79+7o3r27qLzZ2dnQ09NDdHQ0mjdvLk/PG4v4/lhFVRkZGaFy5cpKYxsfPHgAQRBUKl/l4LFBgwaiF5KUSCS4dOmSqocgIiIiKpFP7b7U+vr6aNy4MQ4cOIDAwEB5ekREBGrWrImqVauqVN7Ro0fx+vVr1K1bV57m5eWFw4cP45tvvoGenp68fKlUqtLSiyoHjwMGDFAIHnNzc7Fy5Up88cUXsLKyUrU4IiIiIrX7GMY8qurrr79Gv379MGPGDPj7++PcuXMICwvD0qVLFfI5OTmhc+fOmDt3LgBg/vz5kEgkqF+/PqRSKa5fv47Vq1fD2dkZfn5+8v2CgoIQGhqK8ePHo1evXrhz5w7Wr1+PsWPHil7jEShG8Dhy5EiF53nBY48ePdhNTURERFRMjRo1QnBwMH766Sf89ttvsLa2xpw5c+Dv76+QLzc3F7J3VkGvWbMmtm/fjl27diEzMxMVK1ZEt27dMGrUKJQp82+oV716daxfvx7z58/H4MGDYWFhgVGjRmHAgAEq1VOjYx6JiIiISoPsU+u3/n8tW7Yscnmg27dvKzxXZWxlw4YNle53rSoGj0RERKR1PsVu60+FyneYISIiIqL/LrW1PIqdgU1ERESkaWx51By1LdXTu3dvpXQu1UNERESlQcboUWNKvFQPERER0cdGkBWdh4qnxEv1EBXExEgXQwNrwKtxeRgY6ODW3TT8vPEB7kS/ErV/F//K+DygMipXNERKag6OnErE+m2PkJml+I1Qvpwe+vesDrd65rAw10Piy2ycPJ+ELb89QWraG02cGhGJpGtsBLvxQTB3rwdzt7rQtzDHtaBJiNm8p7SrRkTFpJEJM6mpqdi1axf69u2rieLpEyCRAAum1YFfc0v8HhGHVZsfopyZHpbNrouqlQ2L3H9oX1uMGVwT0Y9fY/n6aBw/8wJdAypjzkRHhXxlDXXw8/x68GpcHpHHEvDTumicvfQSXfwrY8kMZ7CRnKh06VcoB/vvRsDkMzukXb9d9A5EaiIIgloepExtE2ays7Nx+PBhhIaG4s8//0ROTg6cnJzUVTx9Ynw8KqCuoxTfLbyF42deAACOnHqObSsaoX9PG8xeeqfAfcuX08MXHa0ReTQBc5f/my8mLgNjBtdE00YWOH0xCQDg6VYela0M8e2cmzh76aU8b2r6G/TvYYNatsa4+0BcSycRqV/W0wQcquqJrPhEmLk6o9nZ3aVdJfqPkLHbWmNKFDwKgoDTp08jNDQUUVFRePXqFSQSCTp37oyvvvoKDg4O6qonfWK8m5bHi5fZOHH2hTwtJfUNjp56jlbeVtArI0HOm/z/o6vjIEWZMjo4cvK5Qvrhk88xZnBNtGxWQR48GhnpAgBeJuco5H3xMhsAkJXNbw+i0iTLzkFWfGJpV4OI1KhYweP169cRGhqK/fv348WLFzAxMUGbNm3g4+ODUaNGoUuXLgwc/+Psa5jgbnS60lIJt+6mo2ObyqhmXRbRj1/nu69embd9ze8HfnljHe1rmsjTrt1MQW6ugFFBdlix8QGev8hCzerG6NetGk6cfYHHsRlqPCsiIvpUsMtZc1QOHtu0aYPHjx/DwMAAXl5e6NChA7y9vaGvr4+0tDRN1JE+QRbl9HHt7xSl9LwWwfIW+gUGj0/i3gZ8dT+T4sqNf8twcZICACzL/3vz9kcxGVi08h6GfVUDqxbUk6fvPxKPhSvulvxEiIjok/SJ3p3wk6By8Pjo0SMAgLOzM1q3bo3mzZtDX1+/iL3ov8ZAXwfZOcpXbnaOTL69IHeiX+Hm7VR82aUKnidl4cpfKahezQjjhtRETo4M+vq6CvmfJ2Xh1t00nL38Es8SMlHPyQxd21VGSmoOft70UK3nRURE9F+ncvC4Z88e7Nu3D/v378eECRNQtmxZtGzZEh06dEDdunU1UUf6iJUpI4HURPFjlJyag6xsGfT1lKc66+u9DRqLGov43cJ/MGOCAyaPtAcAvMkVsGtfLOrXMUO1KmXl+Zw/M8X8qXXw9cRruH0/HQBw8nwSXr1+g6962CD8cDwexbDrmojov0Zg06PGqBw8Ojo6wtHREd9++y3Onz8vnywTHh4OU1NTSCQSPHz4EG5ubpqoL31knB2kWD5H8Z+GLwZfQNLLbJQvp9winZf2Iim70HITk7IxYspfqFrZEBbm+oh5moGk5Bz8vt4NMXH/BoMdW1fGy+RseeCY59SFJAzoVR3On0kZPBIR/QdxyKPmFHu2tUQiQePGjdG4cWN8//33OH78OEJDQ3H8+HFMnz4dq1atQufOnbmouJa79zAdY7//SyEtKTkbdx++goujFBKJ4gXsaG+KjMxc+bjGosQ8zUTM00wAQPWqZVHBwgD7jyTIt1uY60FHR7mFs8z/T7rR1eVCj0REROqklkXC9fT04Ofnh2XLluHUqVOYN28ebG1tsXr1anUUTx+x9Fe5uHQ9ReGRnSPg+OlElC+nD68m5eV5zUzLoEXTCjh9IUlhmR7rSoawrlT4wuESCfB1YA1kZObijwPP5OlP4jJQvpw+6tcxU8jfspklAOButGKLJBER/TfIZIJaHqRMbYuE5zE2Nkbnzp3RuXNnJCUlqbt4+kQcO5OIG7dTMXlkbdhWM0JKag46+1eGjg6wYcdjhbxLZzoDAHoMuShPGxVkB309Ce4+eIUyZSTwa24Jx9qmmLv8DhISs+T5fo94Cn/fipg/1RG7w58i/nkW6tWRopWXFS5cfYlbdxk8EpW26sN6Q89MCkNrKwCAVbsWMKxSCQDwcMUWvEnldUrqx6V6NEfl4HHt2rXo3LkzLC0t5WmXL1+Go6Mjypb9dyLDkydPsGbNGsyePVs9NaVPikwGfDv7JoYF1kDXdtYw0NfBP/fSMW/5XVFd1nei09G9gzX8vKwgCAJu3U3H2O9vKCzdA7xteRw04SoG9q6O1t6WsDDXR+LLbGzfG4MN2x8XUDoRfUh2YwfAyLaq/HnlLm1QuUsbAEDstn0MHkkjBN4jQmMkgoqhuaOjI3bu3AkXFxcAQG5uLpydnfHbb7+hTp068nzXrl1Dz549cevWrRJX0uvzkyUug4g+ThPDgkq7CkSkIe1ySu9+5t+uUs9kyYVDyxad6T9G5ZbH/GJNNg0TERHRx0TG2ERj1D7mkYiIiKi0sWFLc9Qy25qIiIiI/hvU1vIokXA9PSIiIvo4cJkdzSlW8BgYGKgULPbu3Vshjc3FREREVFoYhmiOysHjiBEjNFEPIiIiIvoEMHgkIiIirSOw21pjNDZhJjc3F3v37tVU8UREREQFkgmCWh6krETBY1JSktLYxszMTGzatAmtWrXC5MmTS1Q5IiIiIvq4qBw8ZmVlYcaMGWjQoAE8PT3h5uaGDRs2AAB27doFX19fzJs3D5UrV5anExEREX1IgkxQy4OUqTzmcc2aNdixYwc8PT3h6OiI2NhYLFmyBDdv3kR4eDicnJywePFieHh4aKK+REREREVi4Kc5KgePERER6NevH6ZMmSJP27t3LyZNmgQ/Pz8sX74cOjpce5yIiIhKD2NHzVE5youNjYWvr69Cmp+fH4C3az0ycCQiIiLSXiq3PGZnZ8PIyEghrWzZsgAAqVSqnloRERERlQC7rTWnWHeYOXfuHJ49eyZ/LpPJIJFIcO7cOcTGxirkbd26dclqSERERKSiT/VOd0eOHMFPP/2EBw8ewNraGoMHD0bXrl0L3Sc4OBghISH5buvRowdmzZpVaL4ZM2agV69eoutYrOBx8eLF+aYvXLhQ4blEIsGtW7eKcwgiIiKi/5SLFy9ixIgR6NatG6ZMmYKzZ89i6tSpMDY2Rtu2bQvcr3v37mjevLlC2oULF7Bo0SJ4eXkppBsaGmLTpk0KadWqVVOpnioHj4cPHxadVyaTqVo8ERERUYnJPsFu65UrV8LFxUXeUtikSRM8efIEy5cvLzR4rFSpEipVqqSQtmPHDpiZmSkFjzo6Oqhfv36J6qly8FilSpVCtyclJWH//v0IDQ3FtWvX2PJIREREH9yn1m2dnZ2Nc+fOYcKECQrpAQEBCAsLQ0xMDKpWrSqqrKysLERFRSEgIAD6+vpqr2uxuq3fl5GRgaioKISFheH06dN48+YNnJyceIcZIiIiIhEeP36MnJwc2NnZKaTXrFkTABAdHS06eDx69CjS09PRvn17pW2ZmZlo0qQJUlNTYWtri6+++gpffPGFSnUtdvCYm5uLP//8E6GhoThy5AgyMzNRoUIF5ObmYsmSJQgICChu0UREREQloq7Z1i1btix0uyrD+QqTkpICQHnlmrznedvFCAsLQ8WKFeHm5qaQbmNjgwkTJsDJyQlZWVkIDQ3Fd999h7S0NAQFBYkuX+Xg8dKlSwgLC0NkZCRevnwJc3NzdOzYER06dEDt2rXRuHFjWFpaqlosERERkdp8DEv1pKWlISEhoch8qk5YKUxqaiqOHz+OPn36KK293alTJ4XnPj4+yMnJwcqVK9GvXz/o6emJOobKwWPv3r0hkUjQuHFj9O/fH56enihT5m0xaWlpqhZHRERE9NEqSctiZGQkpk2bVmS+iIgImJmZAVCOpVJTUwFAvr0oBw4cQHZ2Njp06CAqv7+/Pw4cOIDHjx/Lu8iLonLwaG9vjzt37uDChQvQ1dXFy5cv4efnBxMTE1WLIiIiItII2UcwYaZ79+7o3r27qLzZ2dnQ09NDdHS0wrI70dHRAKA0FrIgYWFhsLOzg5OTk+oVFknl4HHfvn24d+8e9u3bh/DwcEyaNAmGhobw9vZGixYtIJFINFFPIiIiItE+hm5rVejr66Nx48Y4cOAAAgMD5ekRERGoWbOmqMkyCQkJOH/+PEaMGCH6uBEREZBKpbCxsRG9T7EmzNSqVQvjxo3DuHHj5GMgDxw4gAMHDkAikWDz5s0AoDRQk4iIiOhD+NSW6gGAr7/+Gv369cOMGTPg7++Pc+fOISwsDEuXLlXI5+TkhM6dO2Pu3LkK6REREZDJZAV2WXfp0gWdO3eGnZ0dMjMzERoaioMHD2LKlCmixzsCaliqx9XVFa6urpg2bRpOnjyJsLAwHD58GIcOHYK1tbXaZiERERERabNGjRohODgYP/30E3777TdYW1tjzpw58Pf3V8iXm5ub741YQkND4eLiUmAroo2NDTZu3IjExERIJBLY29vjxx9/RMeOHVWqp0TQQGiemZmJQ4cOISwsDKtWrSpxeV6fn1RDrYjoYzQxTPzyEET0aWmXc7vUjt1napxaytn6g7VaytEmalkk/H2GhoZo3759votTEhEREWnapzbm8VOiU3QWIiIiIqK3NNLySERERFSaPsUJM58KBo9ERESkdYR8JpSQerDbmoiIiIhEY8sjERERaR0ZJ8xoDINHIiIi0joc86g57LYmIiIiItHY8khERERah+s8ag6DRyIiItI6DB41h8EjERERaR2ZwKV6NIVjHomIiIhINLY8EhERkdZht7XmMHgkIiIircPgUXPYbU1EREREorHlkYiIiLQOFwnXHAaPREREpHVkMs621hR2WxMRERGRaGx5JCIiIq3DCTOaw+CRiIiItI7ARcI1ht3WRERERCQaWx6JiIhI67DbWnMYPBIREZHWYfCoOQweiYiISOvIOOZRYzjmkYiIiIhEY8sjERERaR12W2sOg0ciIiLSOgLvMKMx7LYmIiIiItHY8khERERah93WmsPgkYiIiLQO7zCjOey2JiIiIiLR2PJIREREWkfGbmuNYfBIREREWoezrTWH3dZEREREJBpbHomIiEjrcLa15jB4JCIiIq3D2daaw+CRiIiItM6JPc1Kuwpai2MeiYiIiEg0Bo9EREREJBqDRyIiIiISjcEjEREREYnG4JGIiIiIRGPwSERERESiMXgkIiIiItEYPBIRERGRaAweiYiIiEg0Bo9EREREJBqDRyIiIiISjcEjEREREYnG4JGIiIiIRGPwSERERESiMXgkIiIiItEYPBIRERGRaAweiYiIiEg0Bo9EREREJBqDRyIiIiISjcEjEREREYnG4JGIiIiIRGPwSERERESiMXgkIiIiItEYPBIRERGRaAweiYiIiEg0Bo9EREREJBqDRyIiIiISjcEjEREREYnG4JGIiIiIRGPwSERERESiMXgkIiIiItEYPBIRERGRaAweiYiIiEg0Bo9EREREJBqDRyIiIiISjcEjEREREYnG4JGIiIiIRGPwSERERESiMXgkIiIiItEYPBIRERGRaAweiYiIiEg0Bo9EREREJBqDRyIiIiISjcEjEREREYnG4JGIiIiIRGPwSERERESiSQRBEEq7EkRERET0aWDLIxERERGJxuCRiIiIiERj8EhEREREojF4JCIiIiLRGDwSERERkWgMHomIiIhINAaPRERERCQag0ciIiIiEo3BIxERERGJxuCRiIiIiERj8EhEREREojF4JCIiIiLRGDxqucOHD2PAgAFwd3eHs7MzfH19MX36dDx48ECeJyUlBQsWLICfnx+cnZ3RtGlTjBs3Dvfv31coKz09HcHBwejWrRsaNWqEpk2bYujQobh9+/aHPq1C/f7773BwcEBSUhIAIDU1FcHBwbh3755CvpiYGDg4OCAyMrLQ8g4dOgQHBwfExMRorM5EpaVjx45wcHDAxYsXFdLzro+8R926ddG2bVssX74cmZmZCnmDg4MV8r77WLNmjdIx//77bzg4OKBVq1b51ik4OBgNGjRQeVtUVBQcHBwQGBgo5tSJqJjKlHYFSHMWLVqEtWvXok2bNpg9ezYsLCzw+PFj7N69G2PHjsXevXvx/Plz9OnTBykpKRg6dCicnJzw7NkzbNiwAd26dcOaNWvg5uYGAIiLi8POnTvRtWtXjBkzBllZWdiwYQN69OiB3bt3o2bNmqV8xm/5+Phg586dkEqlAN4GjyEhIahduzZq1aolz2dlZYWdO3fC1ta2lGpKVLru3r0r/+cvNDQUjRo1Usozbtw4NG7cGBkZGTh8+DBWrFiBxMREzJo1SyGfoaEhNm3apLR/5cqVldJCQ0MBAI8fP8a1a9dQr149dZyOvNzz588jPj4eFStWVEu5RKSIwaOWOn78ONauXYthw4Zh9OjR8nQ3Nzd07doVR48eBQDMnDkTcXFx2Lt3r0Lw5+fnh27dumH8+PGIioqCgYEBqlatiqioKJQtW1aer0mTJvD19cW2bdvw3XfffbgTLISFhQUsLCyKzKevr4/69etrvkJEH6nQ0FDo6OjAzc0NkZGRmDZtGvT09BTyVK9eXX6deHh4IDo6Gn/88QdmzJgBHZ1/O690dHREXU8ymQwRERFwdXXFjRs3EBoaqpbgMT09HceOHUPTpk1x+vRpREREoH///iUul4iUsdtaS23YsAEVKlTAsGHD8t3eokULxMbG4tChQ+jcubNSq6GRkRGGDh2K+Ph47N+/X572buAIAMbGxrCxsUFCQoJK9Tt27Bi6d+8OFxcXNGnSBN9//z1ev34t337u3Dk4ODjgzz//xOjRo9GgQQP4+PjIWxY2b94MHx8fuLu7Y+rUqcjOzpbv+263dUxMDFq2bAkAGD16tLwrLSYmJt9u65ycHPzwww9wd3eHq6srpkyZglevXinVPzk5GZMnT0bjxo3h4uKCnj174sKFCyq9BkSlSRAEhIWFoUmTJujfvz+Sk5Px559/Frmfo6MjMjMz5cNCVHXhwgU8e/YMPXv2hI+PDyIiIpCbm1usst518OBBZGVlYcSIEahTp478u4KI1I/BoxZ68+YNLl++jCZNmii1IrzrwoULEAQBLVq0yHe7r68vACiNhXpXamoq7t69Czs7O9H1i4yMxNdffw17e3uEhITgm2++QVRUFKZOnaqUd8aMGahduzZCQkJQr149fPvtt/jxxx9x8uRJzJw5E6NGjcIff/yBDRs25HssKysrhISEAHjb/bZz507s3LkTVlZW+eZfsmQJtm/fjqCgIPz000+QyWRYvHixQp7c3FwMGjQIR48exYQJE7Bs2TIYGRmhf//+uHHjhujXgag0Xb58GbGxsWjfvj2aNWsGc3NzhIWFFblfXFwcjI2NUa5cOaVtb968UXq8LzQ0FGXLloWfnx/at2+PFy9e4PTp0/keK7/yZDJZvnlDQ0NRpUoVNGzYEB06dMDNmzcRHR1d5PkQkerYba2FkpOTkZ2dDWtr60Lz5bUWFpTPxMQEUqkUz549K7CMH3/8ERKJBL169RJVN0EQsHDhQgQEBOCHH36Qp1taWmLw4MEYNmwYateuLU9v27YtRowYAQBwcXFBVFQUwsPDERUVJQ+Mz58/j8jISAwdOlTpePr6+nB0dASg2P2Wn+TkZGzbtg2DBg3CkCFDAADNmzdHnz59EB8fL8937NgxXL9+HevWrUPz5s0BAM2aNUPr1q2xevVqBAcHi3otiEpTWFgYDAwM0Lp1a+jp6aFNmzbYt28fXr16BWNjY3k+mUyGN2/eyMc8Hjx4EGPGjIGurq5Cea9fv0adOnWUjvPLL7/Ix1JmZ2fj4MGD8PX1hZGREXx8fGBqaorQ0FD5tVRUecDbXpB3PX/+HOfOnUNQUBAkEgkCAgKwcOFChIaGKgzbISL1YPCoxSQSiUbL3717N3bt2oX58+ejUqVKovZ58OABYmNjMWXKFIVWCXd3d+jo6ODGjRsKwaOnp6f8b1NTU1hYWKBRo0YKLaq2trY4d+5cic/nzp07yMzMVJoB2rp1a4Uu6YsXL8LExEThx05PTw+tWrUS1XJDVNrevHmDyMhIeHt7w9TUFADQoUMH7Ny5E1FRUejcubM879ixYxX2bdeuHQYNGqRUpqGhIbZu3aqU/m6vxIkTJ5CSkoL27dsDePvPXatWrRAZGYnMzEwYGhoWWd6uXbuUrrO8ru+8citWrAg3NzeEhYUxeCTSAAaPWsjc3BwGBgaIi4srNF9e121cXBw+++wzpe3p6elITU3NNzA8fvw4pk+fjmHDhuHzzz8XXbeXL18CAIYPH57v9qdPnyo8z/thy6Ovry+fRZ1HT09PYcxjcT1//hwAUL58eYX0ChUqKDxPTU1VypOXLyUlpcT1INK0U6dOISkpCS1atEBqaioAwN7eHpaWlggLC1MIHidMmIAmTZogLS0NW7duRXh4ONzd3dGzZ0+FMnV0dFC3bt1CjxsaGgpTU1PUr19fftwWLVrg999/x5EjRxAQEFBkeceOHcu33Bo1aqBy5crycn19fTFv3jy1zuYmorcYPGqhMmXKoGHDhjh79izevHmDMmXyf5vd3NwgkUhw7Ngx+fjGd+V9Sb+/fMfVq1cxevRodO7cWeX/6s3NzQEA06dPh4uLi9L2gsYifgiWlpYAgBcvXigs8ZGYmKiQz8zMDC9evFDaPzExEWZmZpqtJJEa5E0mmTx5MiZPnqyw7eXLlwqf72rVqsmDuMaNG6Nbt2746aef0LFjR6Xu48LkzYbOzMyEh4eH0vZ9+/YpBI9iPXr0CH/99RcAyJcVe5e6ZnMT0b8YPGqp/v37Y/DgwVi1apV8zOC7jh8/Dm9vb/j5+WHv3r3o378/atSoId+ekZGBVatWoVKlSvD395en37t3D0OGDEGTJk0wc+ZMletlZ2eHSpUq4cmTJ+jdu3fxTk5FeV3cWVlZheazt7eHoaEhoqKi4OTkJE8/ePCgQj5XV1esX78eJ0+eRLNmzQC87QY8dOgQXF1d1Vx7IvXKG7vo5+eHfv36KWxLTEzEuHHjEBERke9EOl1dXXzzzTfo378/du3aha+++kr0cQ8dOoTMzEzMnDlT4bsGAPbs2YOwsDAkJyfL/8EUKzQ0FBKJBCEhIUo9FWvWrEFERAQmT56sNEaTiIqPwaOW8vb2xsCBA+V3VmnXrh3KlSuHmJgY7N69G2lpafD29sb333+PPn36oHfv3hgyZAicnJwQHx+PDRs2IDY2FmvWrIGBgQGAty1yQUFBMDAwQGBgoMLMYhMTE4UFuAsikUgwadIkTJgwAa9fv4aPjw/Kli2LuLg4HD9+HGPHjlX6YSkpS0tLSKVShIeHo2rVqtDX14eDg4NSPnNzc/Ts2RNr166FoaEhnJycEB4ejsePHyvk8/HxgYuLC7755huMHz8eFSpUwJYtW5CQkIDly5erte5E6nb48GG8fv0affv2RePGjZW2r1u3DmFhYQWuwtC0aVO4urpi48aN6N27t/yfM5lMhqtXryrlL1++PKpVqyafDd2jRw+l8dhmZmbYs2cPIiMjlbrDixIWFoZGjRrBz89PaVt6ejqGDRuG06dPK03IIaLiY/Coxb755hs0aNAAv/zyC6ZMmYKMjAxYWVmhWbNmCAoKAvA2sNq1axdWrVqFzZs3Iz4+HqampmjSpAl+/PFHhfUf7927J595/X6Lg7u7O7Zs2SKqXv7+/pBKpVi1apW8+6xKlSpo3ry50vhCddDR0cG8efOwZMkSfPXVV8jOzsbhw4fzzTt+/Hjk5uZi3bp1kMlkaNWqFcaPH49vv/1WnkdXVxdr1qzBwoUL8eOPP8pnhW7YsAHOzs5qrz+ROoWFhcHa2jrfwBEAOnfujLlz5xa4JA4AjBgxAv3790doaCi6dOkCAMjMzESPHj2U8nbr1g3jxo3DmTNnMHjw4Hwn8n322WdwdHREaGioSsHjjRs38ODBA/n32fu8vLxgYWGR72xuIio+iSAIQmlXgoiIiIg+DVwknIiIiIhEY7c1qVVubi4Ka8wuaOY3ERERfRrYbU1q5evri9jY2AK33759+wPWhoiIiNSNwSOp1e3btwtdsLuoRYSJiIjo48bgkYiIiIhE44QZIiIiIhKNwSMRERERicbgkYiIiIhEY/BIRERERKIxeCQiIiIi0Rg8EhEREZFoDB6JiIiISDQGj0REREQk2v8BZNOnDaqJxtoAAAAASUVORK5CYII=\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Criar um DataFrame com os dados fornecidos\n", + "data = {\n", + " 'Ano': [2019, 2020, 2021, 2022],\n", + " 'CO2_emitido': [33720252, 33245171, 31815256, 31412973],\n", + " 'AREAHA': [64554.41, 113073.16, 154250.73, 227779.90]\n", + "}\n", + "\n", + "df = pd.DataFrame(data)\n", + "\n", + "# Calcular a correlação\n", + "correlation = df[['CO2_emitido', 'AREAHA']].corr()\n", + "\n", + "# Exibir a correlação\n", + "print(\"Coeficiente de Correlação:\")\n", + "print(correlation)\n", + "\n", + "# Criar um mapa de calor\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation, annot=True, cmap='coolwarm', center=0, cbar_kws={\"shrink\": .8})\n", + "plt.title('Mapa de Calor da Correlação entre CO2 Emitido e Área Desmatada')\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 622 + }, + "id": "QsKiNFdMXRFs", + "outputId": "7b681d1c-c2cd-4d52-c530-478154706de4" + }, + "execution_count": 248, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Coeficiente de Correlação:\n", + " CO2_emitido AREAHA\n", + "CO2_emitido 1.000000 -0.945668\n", + "AREAHA -0.945668 1.000000\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "Visualização" + ], + "metadata": { + "id": "7X7DJFaDG_6c" + } + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Definindo o estilo do gráfico\n", + "sns.set(style=\"whitegrid\")\n", + "\n", + "# Criar o gráfico de dispersão com linha de tendência\n", + "plt.figure(figsize=(10, 6))\n", + "sns.regplot(x='AREAHA', y='CO2_emitido', data=df, scatter_kws={'alpha':0.5}, line_kws={'color':'red'})\n", + "plt.xlabel('Área Desmatada (ha)')\n", + "plt.ylabel('Emissão de CO2')\n", + "plt.title('Relação entre Desmatamento e Emissão de CO2 com Linha de Tendência')\n", + "plt.grid()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 574 + }, + "id": "7lfnBJF3HjMz", + "outputId": "73918dd5-6fac-41d3-f4db-18f3fb25da92" + }, + "execution_count": 252, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "import seaborn as sns\n", + "\n", + "corr = dados_combinados[['AREAHA', 'CO2_emitido']].corr()\n", + "sns.heatmap(corr, annot=True, cmap='coolwarm')\n", + "plt.title('Mapa de Calor de Correlação')\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 458 + }, + "id": "efZraLofHWAu", + "outputId": "030038f0-de4f-4e4b-fb85-af32f7250008" + }, + "execution_count": 226, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Agrupar os dados por ano e calcular a média\n", + "dados_ano = dados_combinados.groupby('Ano').agg({'AREAHA': 'mean', 'CO2_emitido': 'mean'}).reset_index()\n", + "\n", + "# Visualizar os dados agrupados\n", + "print(dados_ano)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "jKbcEucEHVwE", + "outputId": "3263a9f5-a627-44ba-dd03-036cf10450ff" + }, + "execution_count": 228, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Ano AREAHA CO2_emitido\n", + "0 2019 102.155350 1.321065e+06\n", + "1 2020 45.609471 1.149521e+06\n", + "2 2021 82.993314 1.166037e+06\n", + "3 2022 158.969566 9.345907e+05\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Definir o estilo do gráfico\n", + "sns.set(style=\"whitegrid\")\n", + "\n", + "# Criar gráfico de dispersão para cada ano\n", + "plt.figure(figsize=(12, 8))\n", + "for ano in dados_ano['Ano'].unique():\n", + " subset = dados_combinados[dados_combinados['Ano'] == ano]\n", + " sns.regplot(x='AREAHA', y='CO2_emitido', data=subset, label=ano, scatter_kws={'alpha':0.5}, line_kws={'color':'red'}, ci=None)\n", + "\n", + "plt.xlabel('Área Desmatada (ha)')\n", + "plt.ylabel('Emissão de CO2')\n", + "plt.title('Relação entre Desmatamento e Emissão de CO2 por Ano')\n", + "plt.legend(title='Ano')\n", + "plt.grid()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 727 + }, + "id": "2id9lJtkJxhT", + "outputId": "aec63da6-02a7-4a88-bcdb-401bc85a9c62" + }, + "execution_count": 229, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Filtrar dados de 2019 e 2020\n", + "dados_comparacao = dados_ano[dados_ano['Ano'].isin([2019, 2020])]\n", + "\n", + "# Exibir comparação\n", + "print(dados_comparacao)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "OA25XsSkHVoa", + "outputId": "bb737f52-ccc2-4f1c-e716-17083b4fbd96" + }, + "execution_count": 230, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Ano AREAHA CO2_emitido\n", + "0 2019 102.155350 1.321065e+06\n", + "1 2020 45.609471 1.149521e+06\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "VhVWfb_OKBET" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "ilHWqMcMKA3k" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "**CRIANDO UM BANCO DE DADOS**\n", + "\n", + "\n", + "Vamos começar lendo dados de um arquivo CSV e inserindo-os em uma tabela do banco de dados SQLite." + ], + "metadata": { + "id": "3cmdxAhsfFZG" + } + }, + { + "cell_type": "code", + "source": [ + "import sqlite3\n", + "import pandas as pd\n", + "from sqlalchemy import create_engine\n", + "#from google.colab import files\n", + "\n", + "# Passo 1: Fazer upload do arquivo CSV\n", + "# uploaded = files.upload()\n", + "\n", + "# Passo 2: Ler o CSV em um DataFrame\n", + "df = pd.read_csv('dados_integrados.csv')\n", + "\n", + "# Passo 3: Criar o engine para o SQLite\n", + "engine = create_engine('sqlite:///banco.db') #abre e fecha conexões\n", + "\n", + "# Passo 4: Inserir o DataFrame no banco de dados SQLite\n", + "df.to_sql('desmatamento_co2', con=engine, if_exists='replace', index=False)\n", + "\n", + "print(\"Dados inseridos com sucesso no SQLite!\")\n", + "\n", + "# Passo 5: Consultar o banco de dados\n", + "conn = sqlite3.connect('banco.db')\n", + "cursor = conn.cursor()\n", + "\n", + "# Fazer uma consulta\n", + "cursor.execute(\"SELECT * FROM desmatamento_co2 LIMIT 5\")\n", + "rows = cursor.fetchall()\n", + "\n", + "# Mostrar os resultados\n", + "for row in rows:\n", + " print(row)\n", + "\n", + "# Fechar a conexão\n", + "conn.close()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "utOkFSAn2NNG", + "outputId": "e7c05bcd-596d-407c-b668-eea82a8cba10" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Dados inseridos com sucesso no SQLite!\n", + "('Cerrado', 'BAHIA', 'são desidério', 12.52, 'agriculture', 3159579, 2021)\n", + "('Cerrado', 'BAHIA', 'luís eduardo magalhães', 4.83, 'agriculture', 654262, 2021)\n", + "('Cerrado', 'BAHIA', 'riachão das neves', 7.41, 'agriculture', 761963, 2021)\n", + "('Cerrado', 'BAHIA', 'baianópolis', 2.91, 'agriculture', 1700892, 2021)\n", + "('Cerrado', 'BAHIA', 'santa rita de cássia', 2.3, 'agriculture', 998700, 2021)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import sqlite3\n", + "import pandas as pd\n", + "from sqlalchemy import create_engine\n", + "\n", + "\n", + "# Passo 2: Criar um DataFrame com os dados fornecidos\n", + "data = {\n", + " 'Ano': [2019, 2020, 2021, 2022],\n", + " 'CO2_emitido': [33720252, 33245171, 31815256, 31412973],\n", + " 'AREAHA': [64554.41, 113073.16, 154250.73, 227779.90]\n", + "}\n", + "\n", + "df = pd.DataFrame(data)\n", + "\n", + "# Passo 3: Criar o engine para o SQLite\n", + "engine = create_engine('sqlite:///banco.db') #abre e fecha conexões\n", + "\n", + "# Passo 4: Inserir o DataFrame no banco de dados SQLite\n", + "df.to_sql('desmatamento_co2', con=engine, if_exists='replace', index=False)\n", + "\n", + "print(\"Dados inseridos com sucesso no SQLite!\")\n", + "\n", + "# Passo 5: Consultar o banco de dados\n", + "conn = sqlite3.connect('banco.db')\n", + "cursor = conn.cursor()\n", + "\n", + "# Fazer uma consulta\n", + "cursor.execute(\"SELECT * FROM desmatamento_co2 LIMIT 5\")\n", + "rows = cursor.fetchall()\n", + "\n", + "# Mostrar os resultados\n", + "for row in rows:\n", + " print(row)\n", + "\n", + "# Fechar a conexão\n", + "conn.close()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "bT0CeNXgN-yR", + "outputId": "26241080-9508-4e73-c37f-f390fe78e656" + }, + "execution_count": 235, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Dados inseridos com sucesso no SQLite!\n", + "(2019, 33720252, 64554.41)\n", + "(2020, 33245171, 113073.16)\n", + "(2021, 31815256, 154250.73)\n", + "(2022, 31412973, 227779.9)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**CONSIDERAÇÔES FINAIS**\n", + "\n", + "\n", + "A análise inicial dos dados revelou que, apesar dos esforços de preservação, o desmatamento em várias regiões da Bahia aumentou significativamente nos últimos anos. Isso ocorre especialmente em áreas de biomas sensíveis, como a Caatinga e o Cerrado, que são biomas predominantes no estado.\n", + "\n", + "Esse aumento no desmatamento está intimamente relacionado ao aumento das emissões de CO₂, um dos principais gases responsáveis pelo efeito estufa. O impacto negativo do desmatamento é agravado pelo fato de que essas áreas desmatadas são substituídas por atividades que emitem ainda mais CO₂, como a agropecuária.\n", + "\n", + "Entretanto, as taxas de desmatamento e emissões de CO₂ apresentaram flutuações durante a pandemia de COVID-19, o que levanta questões sobre o papel de eventos globais e econômicos na redução temporária das atividades humanas e como isso afetou o meio ambiente local.\n", + "\n", + "Os resultados da análise reforçam a correlação direta entre desmatamento e emissões de CO₂ no estado da Bahia.\n", + "\n", + "Regiões com maiores áreas desmatadas apresentaram emissões de carbono proporcionalmente mais elevadas, principalmente em áreas destinadas à agropecuária.\n", + "\n", + "- A pandemia trouxe uma breve redução nas emissões, mas o desmatamento continuou a crescer, destacando a necessidade de políticas públicas mais robustas e eficientes para combater essa tendência.\n", + "\n", + "- A expansão agrícola é um dos principais motores do desmatamento e das emissões de CO₂ na Bahia.\n", + "\n", + "- Apesar da breve redução de emissões durante a pandemia, o desmatamento persistiu, o que sugere que fatores locais (como a pressão econômica) têm um papel crucial no aumento da degradação ambiental.\n", + "\n", + "- Medidas de mitigação mais efetivas, incluindo a fiscalização e preservação de áreas naturais, são fundamentais para controlar as emissões de carbono derivadas do desmatamento." + ], + "metadata": { + "id": "fdQmOKTrY-XL" + } + } + ] +} \ No newline at end of file From eb08383f8fe1bac52ca6a8cfda1c6817519814e7 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sun, 13 Oct 2024 17:09:00 -0300 Subject: [PATCH 74/90] Rename projeto_final_paloma_anne.ipynb to dados/projeto_final_paloma_anne.ipynb --- .../projeto_final_paloma_anne.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename projeto_final_paloma_anne.ipynb => dados/projeto_final_paloma_anne.ipynb (99%) diff --git a/projeto_final_paloma_anne.ipynb b/dados/projeto_final_paloma_anne.ipynb similarity index 99% rename from projeto_final_paloma_anne.ipynb rename to dados/projeto_final_paloma_anne.ipynb index cace2ee..d5da8d6 100644 --- a/projeto_final_paloma_anne.ipynb +++ b/dados/projeto_final_paloma_anne.ipynb @@ -3879,4 +3879,4 @@ } } ] -} \ No newline at end of file +} From ce79c6c389f1fc8c31c3c21c0ab7faf0e33ef647 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sun, 13 Oct 2024 17:09:26 -0300 Subject: [PATCH 75/90] Delete dados/dados_integrados.csv --- dados/dados_integrados.csv | 4309 ------------------------------------ 1 file changed, 4309 deletions(-) delete mode 100644 dados/dados_integrados.csv diff --git a/dados/dados_integrados.csv b/dados/dados_integrados.csv deleted file mode 100644 index e8f2b85..0000000 --- a/dados/dados_integrados.csv +++ /dev/null @@ -1,4309 +0,0 @@ -BIOMA,ESTADO,MUNICIPIO,AREAHA,VPRESSAO,CO2_emitido,ANO -Cerrado,BAHIA,são desidério,12.52,agriculture,3159579,2021 -Cerrado,BAHIA,luís eduardo magalhães,4.83,agriculture,654262,2021 -Cerrado,BAHIA,riachão das neves,7.41,agriculture,761963,2021 -Cerrado,BAHIA,baianópolis,2.91,agriculture,1700892,2021 -Cerrado,BAHIA,santa rita de cássia,2.3,agriculture,998700,2021 -Cerrado,BAHIA,santa rita de cássia,2.48,agriculture,998700,2021 -Cerrado,BAHIA,riachão das neves,25.49,agriculture,670183,2022 -Cerrado,BAHIA,baianópolis,366.63,agriculture,413632,2022 -Cerrado,BAHIA,cotegipe,143.85,agriculture,297663,2022 -Cerrado,BAHIA,baianópolis,32.63,agriculture,413632,2022 -Cerrado,BAHIA,são desidério,332.29,agriculture,2729422,2022 -Cerrado,BAHIA,jaborandi,1389.44,agriculture,1734316,2022 -Mata Atlântica,BAHIA,encruzilhada,5.06,agriculture,414662,2022 -Caatinga,BAHIA,jaborandi,5.74,others,1734316,2022 -Caatinga,BAHIA,barra,217.43,others,312169,2022 -Cerrado,BAHIA,barreiras,27.66,agriculture,996163,2022 -Cerrado,BAHIA,são desidério,1666.34,agriculture,2729422,2022 -Cerrado,BAHIA,correntina,2200.52,agriculture,1473135,2022 -Cerrado,BAHIA,formosa do rio preto,280.92,agriculture,2432263,2022 -Cerrado,BAHIA,correntina,661.07,agriculture,1473135,2022 -Cerrado,BAHIA,são desidério,240.87,agriculture,2729422,2022 -Cerrado,BAHIA,luís eduardo magalhães,433.0,agriculture,343098,2022 -Cerrado,BAHIA,são desidério,120.03,agriculture,2729422,2022 -Cerrado,BAHIA,santa rita de cássia,88.82,agriculture,569631,2022 -Cerrado,BAHIA,riachão das neves,8.51,agriculture,670183,2022 -Cerrado,BAHIA,cotegipe,46.26,agriculture,297663,2022 -Cerrado,BAHIA,jaborandi,3.81,agriculture,1734316,2022 -Cerrado,BAHIA,correntina,21.65,agriculture,1473135,2022 -Cerrado,BAHIA,barreiras,58.34,agriculture,996163,2022 -Cerrado,BAHIA,riachão das neves,90.58,agriculture,670183,2022 -Caatinga,BAHIA,barra,135.99,others,312169,2022 -Caatinga,BAHIA,barra,65.6,agriculture,312169,2022 -Caatinga,BAHIA,barra,152.97,others,312169,2022 -Caatinga,BAHIA,barra,11.6,agriculture,312169,2022 -Cerrado,BAHIA,santa rita de cássia,6.65,agriculture,569631,2022 -Caatinga,BAHIA,barra,8.77,others,312169,2022 -Cerrado,BAHIA,riachão das neves,38.47,agriculture,670183,2022 -Cerrado,BAHIA,santa rita de cássia,3.91,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,10.5,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,1.79,agriculture,569631,2022 -Caatinga,BAHIA,cotegipe,6.36,agriculture,297663,2022 -Cerrado,BAHIA,santa rita de cássia,4.53,agriculture,569631,2022 -Caatinga,BAHIA,barra,4.34,others,312169,2022 -Caatinga,BAHIA,barra,4.57,others,312169,2022 -Caatinga,BAHIA,barra,444.6,agriculture,312169,2022 -Cerrado,BAHIA,santa rita de cássia,10.61,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,10.77,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,26.2,others,569631,2022 -Cerrado,BAHIA,riachão das neves,191.21,agriculture,670183,2022 -Caatinga,BAHIA,barra,2.17,others,312169,2022 -Caatinga,BAHIA,santa rita de cássia,9.58,others,569631,2022 -Cerrado,BAHIA,são desidério,1342.62,agriculture,2729422,2022 -Cerrado,BAHIA,riachão das neves,550.93,agriculture,670183,2022 -Caatinga,BAHIA,santa rita de cássia,49.8,agriculture,569631,2022 -Cerrado,BAHIA,correntina,420.63,agriculture,1473135,2022 -Cerrado,BAHIA,santa rita de cássia,8.59,agriculture,569631,2022 -Mata Atlântica,BAHIA,ibicuí,1.72,agriculture,245755,2022 -Caatinga,BAHIA,barra,84.85,others,312169,2022 -Mata Atlântica,BAHIA,valença,2.0,agriculture,378871,2022 -Cerrado,BAHIA,santa rita de cássia,140.77,agriculture,569631,2022 -Cerrado,BAHIA,barreiras,7.15,agriculture,996163,2022 -Caatinga,BAHIA,santa rita de cássia,31.57,others,569631,2022 -Caatinga,BAHIA,cotegipe,30.09,agriculture,297663,2022 -Caatinga,BAHIA,cotegipe,49.05,others,297663,2022 -Cerrado,BAHIA,barreiras,154.47,agriculture,996163,2022 -Cerrado,BAHIA,santa rita de cássia,3.33,agriculture,569631,2022 -Caatinga,BAHIA,jequié,23.0,agriculture,498001,2022 -Caatinga,BAHIA,cotegipe,8.54,agriculture,297663,2022 -Caatinga,BAHIA,cotegipe,0.99,agriculture,297663,2022 -Caatinga,BAHIA,santa rita de cássia,2.29,others,569631,2022 -Cerrado,BAHIA,santa rita de cássia,5.0,agriculture,569631,2022 -Caatinga,BAHIA,cotegipe,12.81,others,297663,2022 -Caatinga,BAHIA,cotegipe,49.15,agriculture,297663,2022 -Cerrado,BAHIA,cotegipe,11.44,agriculture,297663,2022 -Cerrado,BAHIA,santa rita de cássia,18.25,agriculture,569631,2022 -Cerrado,BAHIA,jaborandi,13.91,agriculture,1734316,2022 -Cerrado,BAHIA,baianópolis,722.1,agriculture,413632,2022 -Cerrado,BAHIA,riachão das neves,105.99,agriculture,670183,2022 -Cerrado,BAHIA,santa rita de cássia,33.08,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,22.21,agriculture,569631,2022 -Caatinga,BAHIA,cotegipe,9.33,agriculture,297663,2022 -Cerrado,BAHIA,santa rita de cássia,122.73,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,1.7,agriculture,569631,2022 -Cerrado,BAHIA,cotegipe,18.46,agriculture,297663,2022 -Cerrado,BAHIA,cotegipe,386.17,agriculture,297663,2022 -Cerrado,BAHIA,jaborandi,279.21,agriculture,1734316,2022 -Caatinga,BAHIA,santa rita de cássia,14.79,agriculture,569631,2022 -Caatinga,BAHIA,barra,93.79,others,312169,2022 -Cerrado,BAHIA,formosa do rio preto,263.58,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,29.68,agriculture,569631,2022 -Cerrado,BAHIA,formosa do rio preto,12.93,agriculture,2432263,2022 -Caatinga,BAHIA,santa rita de cássia,94.66,agriculture,569631,2022 -Caatinga,BAHIA,cotegipe,277.34,agriculture,297663,2022 -Caatinga,BAHIA,cotegipe,39.72,agriculture,297663,2022 -Cerrado,BAHIA,formosa do rio preto,18.92,agriculture,2432263,2022 -Cerrado,BAHIA,barreiras,148.0,agriculture,996163,2022 -Cerrado,BAHIA,são desidério,1588.41,agriculture,2729422,2022 -Cerrado,BAHIA,jaborandi,1048.97,agriculture,1734316,2022 -Cerrado,BAHIA,baianópolis,115.56,agriculture,413632,2022 -Cerrado,BAHIA,baianópolis,283.33,agriculture,413632,2022 -Cerrado,BAHIA,correntina,1556.07,agriculture,1473135,2022 -Caatinga,BAHIA,santa rita de cássia,7.83,agriculture,569631,2022 -Cerrado,BAHIA,luís eduardo magalhães,162.93,agriculture,343098,2022 -Caatinga,BAHIA,jaborandi,12.56,agriculture,1734316,2022 -Caatinga,BAHIA,santa rita de cássia,3.65,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,12.28,agriculture,569631,2022 -Cerrado,BAHIA,riachão das neves,301.64,agriculture,670183,2022 -Cerrado,BAHIA,são desidério,74.25,agriculture,2729422,2022 -Caatinga,BAHIA,santa rita de cássia,5.5,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,8.62,agriculture,569631,2022 -Caatinga,BAHIA,cotegipe,5.24,agriculture,297663,2022 -Caatinga,BAHIA,cotegipe,11.3,agriculture,297663,2022 -Cerrado,BAHIA,formosa do rio preto,3116.95,agriculture,2432263,2022 -Caatinga,BAHIA,cotegipe,36.57,agriculture,297663,2022 -Caatinga,BAHIA,cotegipe,4.78,agriculture,297663,2022 -Caatinga,BAHIA,cotegipe,6.75,agriculture,297663,2022 -Caatinga,BAHIA,cotegipe,2.54,agriculture,297663,2022 -Caatinga,BAHIA,cotegipe,6.32,agriculture,297663,2022 -Caatinga,BAHIA,cotegipe,2.21,agriculture,297663,2022 -Caatinga,BAHIA,santa rita de cássia,2.58,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,36.01,others,569631,2022 -Caatinga,BAHIA,santa rita de cássia,9.9,others,569631,2022 -Caatinga,BAHIA,cotegipe,1.39,others,297663,2022 -Caatinga,BAHIA,cotegipe,576.18,others,297663,2022 -Caatinga,BAHIA,cotegipe,22.87,others,297663,2022 -Caatinga,BAHIA,santa rita de cássia,3.01,others,569631,2022 -Caatinga,BAHIA,santa rita de cássia,5.35,others,569631,2022 -Caatinga,BAHIA,santa rita de cássia,5.41,others,569631,2022 -Caatinga,BAHIA,santa rita de cássia,5.3,others,569631,2022 -Caatinga,BAHIA,cotegipe,8.75,others,297663,2022 -Caatinga,BAHIA,cotegipe,11.87,others,297663,2022 -Mata Atlântica,BAHIA,guaratinga,2.15,agriculture,243882,2022 -Caatinga,BAHIA,santa rita de cássia,3.56,others,569631,2022 -Caatinga,BAHIA,santa rita de cássia,1.61,others,569631,2022 -Caatinga,BAHIA,santa rita de cássia,24.46,others,569631,2022 -Caatinga,BAHIA,cotegipe,7.61,others,297663,2022 -Caatinga,BAHIA,cotegipe,29.51,others,297663,2022 -Mata Atlântica,BAHIA,igrapiúna,1.18,agriculture,210971,2022 -Caatinga,BAHIA,jaborandi,24.93,others,1734316,2022 -Mata Atlântica,BAHIA,belmonte,59.37,agriculture,354868,2022 -Caatinga,BAHIA,barra,14.04,agriculture,312169,2022 -Caatinga,BAHIA,santa rita de cássia,13.47,agriculture,569631,2022 -Caatinga,BAHIA,barra,229.96,others,312169,2022 -Cerrado,BAHIA,jaborandi,2470.16,agriculture,1734316,2022 -Mata Atlântica,BAHIA,itarantim,18.82,agriculture,203154,2022 -Mata Atlântica,BAHIA,valença,3.83,agriculture,378871,2022 -Mata Atlântica,BAHIA,itarantim,9.73,agriculture,203154,2022 -Mata Atlântica,BAHIA,camamu,7.17,agriculture,232571,2022 -Mata Atlântica,BAHIA,iguaí,0.58,agriculture,277970,2022 -Mata Atlântica,BAHIA,camamu,0.69,agriculture,232571,2022 -Mata Atlântica,BAHIA,itagibá,5.32,agriculture,288483,2022 -Cerrado,BAHIA,formosa do rio preto,3454.91,agriculture,2432263,2022 -Mata Atlântica,BAHIA,ilhéus,0.73,urban_expansion,209209,2022 -Mata Atlântica,BAHIA,encruzilhada,1.66,agriculture,414662,2022 -Mata Atlântica,BAHIA,itarantim,6.98,agriculture,203154,2022 -Mata Atlântica,BAHIA,dário meira,21.15,agriculture,217077,2022 -Caatinga,BAHIA,jequié,9.74,agriculture,498001,2022 -Caatinga,BAHIA,santa rita de cássia,4.23,others,569631,2022 -Cerrado,BAHIA,jaborandi,1986.71,agriculture,1734316,2022 -Caatinga,BAHIA,jequié,5.07,agriculture,498001,2022 -Mata Atlântica,BAHIA,jequié,2.64,agriculture,498001,2022 -Mata Atlântica,BAHIA,itarantim,15.55,agriculture,203154,2022 -Mata Atlântica,BAHIA,itambé,12.52,agriculture,227632,2022 -Mata Atlântica,BAHIA,encruzilhada,1.33,agriculture,414662,2022 -Mata Atlântica,BAHIA,encruzilhada,57.62,agriculture,414662,2022 -Mata Atlântica,BAHIA,itambé,4.86,agriculture,227632,2022 -Mata Atlântica,BAHIA,ibicuí,3.41,agriculture,245755,2022 -Mata Atlântica,BAHIA,iguaí,0.96,agriculture,277970,2022 -Mata Atlântica,BAHIA,encruzilhada,6.25,agriculture,414662,2022 -Mata Atlântica,BAHIA,camamu,0.72,agriculture,232571,2022 -Mata Atlântica,BAHIA,dário meira,13.74,agriculture,217077,2022 -Mata Atlântica,BAHIA,ilhéus,9.89,urban_expansion,209209,2022 -Mata Atlântica,BAHIA,itagibá,5.3,agriculture,288483,2022 -Mata Atlântica,BAHIA,ilhéus,3.58,agriculture,209209,2022 -Mata Atlântica,BAHIA,iguaí,2.19,agriculture,277970,2022 -Cerrado,BAHIA,jaborandi,2455.87,agriculture,1734316,2022 -Caatinga,BAHIA,santa rita de cássia,39.41,others,569631,2022 -Caatinga,BAHIA,barra,758.46,agriculture,312169,2022 -Cerrado,BAHIA,são desidério,15.32,agriculture,2729422,2022 -Cerrado,BAHIA,baianópolis,11.16,agriculture,413632,2022 -Cerrado,BAHIA,formosa do rio preto,1.92,agriculture,2432263,2022 -Cerrado,BAHIA,cotegipe,6.63,agriculture,297663,2022 -Cerrado,BAHIA,jaborandi,5.16,agriculture,1734316,2022 -Cerrado,BAHIA,jaborandi,2.28,agriculture,1734316,2022 -Cerrado,BAHIA,formosa do rio preto,2.81,agriculture,2432263,2022 -Cerrado,BAHIA,barreiras,6.07,agriculture,996163,2022 -Cerrado,BAHIA,barreiras,1.72,agriculture,996163,2022 -Cerrado,BAHIA,riachão das neves,1.51,agriculture,670183,2022 -Cerrado,BAHIA,cotegipe,2.07,agriculture,297663,2022 -Cerrado,BAHIA,são desidério,3.27,agriculture,2729422,2022 -Cerrado,BAHIA,santa rita de cássia,4.86,agriculture,569631,2022 -Cerrado,BAHIA,são desidério,10.39,agriculture,2729422,2022 -Cerrado,BAHIA,cotegipe,2.12,agriculture,297663,2022 -Cerrado,BAHIA,santa rita de cássia,9.84,agriculture,569631,2022 -Caatinga,BAHIA,barra,1.37,agriculture,312169,2022 -Caatinga,BAHIA,santa rita de cássia,33.57,agriculture,569631,2022 -Caatinga,BAHIA,barra,1.71,agriculture,312169,2022 -Caatinga,BAHIA,barra,2.49,agriculture,312169,2022 -Caatinga,BAHIA,barra,0.79,agriculture,312169,2022 -Caatinga,BAHIA,santa rita de cássia,24.23,agriculture,569631,2022 -Mata Atlântica,BAHIA,jequié,29.08,urban_expansion,498001,2022 -Caatinga,BAHIA,barra,1.64,agriculture,312169,2022 -Caatinga,BAHIA,santa rita de cássia,0.64,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,1.87,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,9.87,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,8.61,agriculture,569631,2022 -Cerrado,BAHIA,formosa do rio preto,13.71,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,3.47,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,36.4,agriculture,2432263,2022 -Caatinga,BAHIA,santa rita de cássia,22.78,agriculture,569631,2022 -Caatinga,BAHIA,cotegipe,6.06,agriculture,297663,2022 -Cerrado,BAHIA,santa rita de cássia,0.73,agriculture,569631,2022 -Cerrado,BAHIA,formosa do rio preto,3.51,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,4.3,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,0.91,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,12.73,agriculture,569631,2022 -Cerrado,BAHIA,formosa do rio preto,2.51,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,5.59,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,7.82,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,14.51,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,17.56,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,6.17,others,569631,2022 -Caatinga,BAHIA,santa rita de cássia,22.32,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,4.0,others,569631,2022 -Caatinga,BAHIA,santa rita de cássia,7.36,others,569631,2022 -Cerrado,BAHIA,são desidério,50.71,agriculture,2729422,2022 -Cerrado,BAHIA,formosa do rio preto,29.6,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,1.53,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,76.15,agriculture,569631,2022 -Cerrado,BAHIA,riachão das neves,47.89,agriculture,670183,2022 -Cerrado,BAHIA,formosa do rio preto,0.69,agriculture,2432263,2022 -Caatinga,BAHIA,barra,2.25,others,312169,2022 -Caatinga,BAHIA,santa rita de cássia,13.43,others,569631,2022 -Cerrado,BAHIA,cotegipe,2.26,agriculture,297663,2022 -Cerrado,BAHIA,santa rita de cássia,1.72,agriculture,569631,2022 -Cerrado,BAHIA,formosa do rio preto,0.6,agriculture,2432263,2022 -Cerrado,BAHIA,jaborandi,3.62,agriculture,1734316,2022 -Cerrado,BAHIA,cocos,2.9,agriculture,367625,2022 -Cerrado,BAHIA,jaborandi,3.49,agriculture,1734316,2022 -Cerrado,BAHIA,jaborandi,19.32,agriculture,1734316,2022 -Cerrado,BAHIA,baianópolis,3.3,agriculture,413632,2022 -Cerrado,BAHIA,correntina,21.93,agriculture,1473135,2022 -Cerrado,BAHIA,barreiras,11.55,agriculture,996163,2022 -Cerrado,BAHIA,riachão das neves,18.22,agriculture,670183,2022 -Cerrado,BAHIA,santa rita de cássia,4.89,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,6.51,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,1.26,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,10.21,agriculture,569631,2022 -Cerrado,BAHIA,cocos,32.61,agriculture,367625,2022 -Cerrado,BAHIA,riachão das neves,5.57,agriculture,670183,2022 -Cerrado,BAHIA,riachão das neves,51.68,agriculture,670183,2022 -Cerrado,BAHIA,riachão das neves,92.6,agriculture,670183,2022 -Cerrado,BAHIA,riachão das neves,6.16,agriculture,670183,2022 -Mata Atlântica,BAHIA,encruzilhada,184.17,agriculture,414662,2022 -Cerrado,BAHIA,cocos,4.49,agriculture,367625,2022 -Cerrado,BAHIA,cocos,5.69,agriculture,367625,2022 -Cerrado,BAHIA,santa rita de cássia,3.99,agriculture,569631,2022 -Cerrado,BAHIA,riachão das neves,116.34,agriculture,670183,2022 -Cerrado,BAHIA,cocos,11.57,agriculture,367625,2022 -Cerrado,BAHIA,baianópolis,3.32,agriculture,413632,2022 -Cerrado,BAHIA,riachão das neves,727.24,agriculture,670183,2022 -Cerrado,BAHIA,santa rita de cássia,5.89,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,3.31,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,5.32,agriculture,569631,2022 -Cerrado,BAHIA,formosa do rio preto,12.57,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,7.16,agriculture,569631,2022 -Caatinga,BAHIA,barra,0.47,agriculture,312169,2022 -Cerrado,BAHIA,riachão das neves,116.2,agriculture,670183,2022 -Cerrado,BAHIA,santa rita de cássia,2.98,agriculture,569631,2022 -Caatinga,BAHIA,cocos,43.15,agriculture,367625,2022 -Cerrado,BAHIA,formosa do rio preto,28.64,agriculture,2432263,2022 -Cerrado,BAHIA,correntina,1501.45,agriculture,1473135,2022 -Cerrado,BAHIA,baianópolis,60.14,agriculture,413632,2022 -Cerrado,BAHIA,formosa do rio preto,25.92,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,4.87,agriculture,2432263,2022 -Caatinga,BAHIA,cocos,8.73,agriculture,367625,2022 -Cerrado,BAHIA,santa rita de cássia,17.23,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,10.46,agriculture,569631,2022 -Cerrado,BAHIA,formosa do rio preto,12.05,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,3.57,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,5.25,agriculture,2432263,2022 -Caatinga,BAHIA,barra,1.76,agriculture,312169,2022 -Caatinga,BAHIA,cocos,14.31,agriculture,367625,2022 -Cerrado,BAHIA,formosa do rio preto,1.38,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,12.98,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,15.21,agriculture,2432263,2022 -Caatinga,BAHIA,cotegipe,36.85,agriculture,297663,2022 -Caatinga,BAHIA,barra,1.8,agriculture,312169,2022 -Cerrado,BAHIA,santa rita de cássia,4.59,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,266.44,agriculture,569631,2022 -Cerrado,BAHIA,barreiras,17.58,agriculture,996163,2022 -Cerrado,BAHIA,santa rita de cássia,37.5,agriculture,569631,2022 -Caatinga,BAHIA,barra,1.68,others,312169,2022 -Cerrado,BAHIA,santa rita de cássia,2406.65,agriculture,569631,2022 -Cerrado,BAHIA,riachão das neves,2.23,agriculture,670183,2022 -Caatinga,BAHIA,barra,16.0,others,312169,2022 -Caatinga,BAHIA,barra,2.81,others,312169,2022 -Caatinga,BAHIA,barra,1.23,others,312169,2022 -Caatinga,BAHIA,barra,2.02,others,312169,2022 -Caatinga,BAHIA,santa rita de cássia,28.69,agriculture,569631,2022 -Caatinga,BAHIA,barra,0.56,agriculture,312169,2022 -Caatinga,BAHIA,barra,1.27,agriculture,312169,2022 -Caatinga,BAHIA,jaborandi,1.69,agriculture,1734316,2022 -Caatinga,BAHIA,cocos,7.19,agriculture,367625,2022 -Caatinga,BAHIA,barra,0.92,agriculture,312169,2022 -Caatinga,BAHIA,santa rita de cássia,10.95,others,569631,2022 -Caatinga,BAHIA,barra,2.48,agriculture,312169,2022 -Caatinga,BAHIA,barra,1.85,agriculture,312169,2022 -Caatinga,BAHIA,barra,2.86,agriculture,312169,2022 -Caatinga,BAHIA,jaborandi,14.37,agriculture,1734316,2022 -Caatinga,BAHIA,barra,1.11,agriculture,312169,2022 -Caatinga,BAHIA,santa rita de cássia,6.11,agriculture,569631,2022 -Caatinga,BAHIA,cocos,13.66,agriculture,367625,2022 -Caatinga,BAHIA,barra,1.08,others,312169,2022 -Caatinga,BAHIA,santa rita de cássia,6.99,agriculture,569631,2022 -Caatinga,BAHIA,cocos,15.59,others,367625,2022 -Caatinga,BAHIA,cocos,21.64,agriculture,367625,2022 -Cerrado,BAHIA,santa rita de cássia,8.44,agriculture,569631,2022 -Caatinga,BAHIA,barra,0.98,agriculture,312169,2022 -Caatinga,BAHIA,barra,4.65,agriculture,312169,2022 -Caatinga,BAHIA,barra,281.35,agriculture,312169,2022 -Caatinga,BAHIA,barra,116.26,agriculture,312169,2022 -Caatinga,BAHIA,barra,335.27,agriculture,312169,2022 -Caatinga,BAHIA,santa rita de cássia,3.55,others,569631,2022 -Caatinga,BAHIA,santa rita de cássia,13.61,others,569631,2022 -Caatinga,BAHIA,barra,1.18,agriculture,312169,2022 -Caatinga,BAHIA,barra,0.34,agriculture,312169,2022 -Caatinga,BAHIA,jequié,18.06,agriculture,498001,2022 -Caatinga,BAHIA,barra,0.74,agriculture,312169,2022 -Caatinga,BAHIA,barra,0.87,others,312169,2022 -Caatinga,BAHIA,barra,2.58,agriculture,312169,2022 -Caatinga,BAHIA,barra,1.75,agriculture,312169,2022 -Caatinga,BAHIA,cocos,7.07,agriculture,367625,2022 -Caatinga,BAHIA,santa rita de cássia,19.44,others,569631,2022 -Caatinga,BAHIA,cocos,9.71,others,367625,2022 -Caatinga,BAHIA,barra,14.76,agriculture,312169,2022 -Caatinga,BAHIA,barra,2.1,others,312169,2022 -Caatinga,BAHIA,barra,4.79,agriculture,312169,2022 -Caatinga,BAHIA,barra,4.82,agriculture,312169,2022 -Caatinga,BAHIA,barra,1.48,agriculture,312169,2022 -Caatinga,BAHIA,jaborandi,6.15,agriculture,1734316,2022 -Caatinga,BAHIA,santa rita de cássia,4.37,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,8.55,others,569631,2022 -Caatinga,BAHIA,barra,2.79,others,312169,2022 -Caatinga,BAHIA,barra,2.22,agriculture,312169,2022 -Caatinga,BAHIA,barra,3.31,agriculture,312169,2022 -Caatinga,BAHIA,barra,6.72,agriculture,312169,2022 -Caatinga,BAHIA,barra,6.68,agriculture,312169,2022 -Caatinga,BAHIA,cotegipe,1.29,agriculture,297663,2022 -Caatinga,BAHIA,santa rita de cássia,77.08,agriculture,569631,2022 -Caatinga,BAHIA,barra,9.58,agriculture,312169,2022 -Caatinga,BAHIA,barra,1.33,agriculture,312169,2022 -Caatinga,BAHIA,barra,5.6,agriculture,312169,2022 -Caatinga,BAHIA,barra,0.93,agriculture,312169,2022 -Caatinga,BAHIA,barra,2.21,agriculture,312169,2022 -Caatinga,BAHIA,barra,1.62,agriculture,312169,2022 -Caatinga,BAHIA,barra,5.95,agriculture,312169,2022 -Caatinga,BAHIA,barra,4.39,agriculture,312169,2022 -Caatinga,BAHIA,santa rita de cássia,3.62,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,1.39,agriculture,569631,2022 -Caatinga,BAHIA,barra,127.52,agriculture,312169,2022 -Caatinga,BAHIA,jequié,4.71,others,498001,2022 -Caatinga,BAHIA,barra,2.79,agriculture,312169,2022 -Caatinga,BAHIA,barra,0.97,agriculture,312169,2022 -Caatinga,BAHIA,cotegipe,37.03,agriculture,297663,2022 -Caatinga,BAHIA,barra,1.21,others,312169,2022 -Caatinga,BAHIA,cotegipe,43.54,agriculture,297663,2022 -Caatinga,BAHIA,barra,5.83,agriculture,312169,2022 -Caatinga,BAHIA,barra,1.15,agriculture,312169,2022 -Caatinga,BAHIA,barra,0.85,others,312169,2022 -Caatinga,BAHIA,barra,28.3,others,312169,2022 -Caatinga,BAHIA,barra,7.4,agriculture,312169,2022 -Caatinga,BAHIA,barra,4.98,others,312169,2022 -Caatinga,BAHIA,barra,5.16,agriculture,312169,2022 -Caatinga,BAHIA,barra,7.26,others,312169,2022 -Caatinga,BAHIA,barra,1.19,others,312169,2022 -Caatinga,BAHIA,correntina,2.3,agriculture,1473135,2022 -Caatinga,BAHIA,barra,37.85,agriculture,312169,2022 -Caatinga,BAHIA,barra,2.93,others,312169,2022 -Caatinga,BAHIA,barra,2.26,others,312169,2022 -Caatinga,BAHIA,barra,0.37,others,312169,2022 -Caatinga,BAHIA,barra,2.83,others,312169,2022 -Caatinga,BAHIA,santa rita de cássia,1.9,others,569631,2022 -Caatinga,BAHIA,barra,12.56,agriculture,312169,2022 -Caatinga,BAHIA,barra,29.07,agriculture,312169,2022 -Caatinga,BAHIA,jaborandi,6.98,agriculture,1734316,2022 -Caatinga,BAHIA,barra,2.2,agriculture,312169,2022 -Caatinga,BAHIA,barra,14.33,others,312169,2022 -Caatinga,BAHIA,barra,1.43,others,312169,2022 -Caatinga,BAHIA,barra,2.39,others,312169,2022 -Caatinga,BAHIA,barra,0.94,agriculture,312169,2022 -Caatinga,BAHIA,jaborandi,6.48,agriculture,1734316,2022 -Caatinga,BAHIA,barra,13.78,agriculture,312169,2022 -Caatinga,BAHIA,barra,8.86,agriculture,312169,2022 -Caatinga,BAHIA,barra,286.27,others,312169,2022 -Caatinga,BAHIA,barra,1096.84,agriculture,312169,2022 -Caatinga,BAHIA,barra,3.12,agriculture,312169,2022 -Cerrado,BAHIA,formosa do rio preto,110.87,agriculture,4220327,2019 -Cerrado,BAHIA,são desidério,37.22,agriculture,2024107,2019 -Mata Atlântica,BAHIA,camamu,2.04,agriculture,221471,2019 -Cerrado,BAHIA,barreiras,47.78,agriculture,1568927,2019 -Cerrado,BAHIA,formosa do rio preto,490.07,agriculture,4220327,2019 -Cerrado,BAHIA,formosa do rio preto,121.11,agriculture,4220327,2019 -Cerrado,BAHIA,formosa do rio preto,12.95,agriculture,4220327,2019 -Cerrado,BAHIA,baianópolis,7.84,agriculture,607436,2019 -Cerrado,BAHIA,são desidério,6.72,agriculture,2024107,2019 -Cerrado,BAHIA,riachão das neves,2.01,agriculture,580173,2019 -Caatinga,BAHIA,santa rita de cássia,14.92,agriculture,694797,2019 -Cerrado,BAHIA,formosa do rio preto,122.45,agriculture,4220327,2019 -Cerrado,BAHIA,santa rita de cássia,4.87,agriculture,694797,2019 -Cerrado,BAHIA,são desidério,9.72,agriculture,2024107,2019 -Cerrado,BAHIA,baianópolis,2.63,agriculture,607436,2019 -Caatinga,BAHIA,cotegipe,77.99,agriculture,331163,2019 -Cerrado,BAHIA,formosa do rio preto,69.86,agriculture,4220327,2019 -Cerrado,BAHIA,santa rita de cássia,248.56,agriculture,694797,2019 -Mata Atlântica,BAHIA,camamu,26.48,agriculture,221471,2019 -Cerrado,BAHIA,formosa do rio preto,427.22,agriculture,3073766,2020 -Caatinga,BAHIA,correntina,10.26,agriculture,1060525,2020 -Cerrado,BAHIA,jaborandi,9.14,agriculture,1744004,2020 -Caatinga,BAHIA,cotegipe,8.63,agriculture,559960,2020 -Cerrado,BAHIA,luís eduardo magalhães,482.95,agriculture,1523413,2020 -Cerrado,BAHIA,são desidério,21.29,agriculture,3091203,2020 -Mata Atlântica,BAHIA,ilhéus,1.69,agriculture,191205,2020 -Mata Atlântica,BAHIA,camamu,2.94,agriculture,434741,2020 -Mata Atlântica,BAHIA,guaratinga,8.36,agriculture,251656,2020 -Mata Atlântica,BAHIA,encruzilhada,14.29,agriculture,451620,2020 -Cerrado,BAHIA,são desidério,18.33,agriculture,3091203,2020 -Cerrado,BAHIA,jaborandi,8.69,agriculture,1744004,2020 -Mata Atlântica,BAHIA,belmonte,3.86,agriculture,350558,2020 -Mata Atlântica,BAHIA,itagibá,3.11,agriculture,72102,2020 -Cerrado,BAHIA,baianópolis,18.54,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,281.3,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,39.63,agriculture,859509,2020 -Cerrado,BAHIA,correntina,18.75,agriculture,1060525,2020 -Cerrado,BAHIA,correntina,5.27,agriculture,1060525,2020 -Cerrado,BAHIA,correntina,2.62,agriculture,1060525,2020 -Cerrado,BAHIA,barreiras,68.29,agriculture,1179766,2020 -Cerrado,BAHIA,luís eduardo magalhães,66.99,agriculture,1523413,2020 -Caatinga,BAHIA,cotegipe,9.93,agriculture,559960,2020 -Cerrado,BAHIA,santa rita de cássia,7.8,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,4.59,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,9.8,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,96.69,agriculture,3091203,2020 -Cerrado,BAHIA,santa rita de cássia,36.75,agriculture,859509,2020 -Mata Atlântica,BAHIA,itagibá,50.07,agriculture,72102,2020 -Caatinga,BAHIA,santa rita de cássia,13.97,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,3.05,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,1.07,agriculture,1085054,2020 -Cerrado,BAHIA,baianópolis,11.61,agriculture,1700892,2021 -Mata Atlântica,BAHIA,guaratinga,3.77,agriculture,171742,2021 -Mata Atlântica,BAHIA,encruzilhada,4.99,agriculture,587315,2021 -Cerrado,BAHIA,são desidério,617.48,others,3159579,2021 -Cerrado,BAHIA,formosa do rio preto,279.04,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,333.42,agriculture,2299737,2021 -Mata Atlântica,BAHIA,ilhéus,8.27,agriculture,131715,2021 -Cerrado,BAHIA,santa rita de cássia,13.05,agriculture,998700,2021 -Cerrado,BAHIA,barreiras,313.34,agriculture,958306,2021 -Caatinga,BAHIA,santa rita de cássia,3.44,agriculture,859509,2020 -Cerrado,BAHIA,jaborandi,2.59,agriculture,1744004,2020 -Caatinga,BAHIA,barra,1.29,others,139778,2020 -Cerrado,BAHIA,santa rita de cássia,4.93,agriculture,859509,2020 -Caatinga,BAHIA,barra,7.79,agriculture,139778,2020 -Cerrado,BAHIA,santa rita de cássia,1.87,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,3.62,agriculture,790814,2020 -Cerrado,BAHIA,jaborandi,4.15,agriculture,1744004,2020 -Cerrado,BAHIA,baianópolis,8.54,agriculture,790814,2020 -Cerrado,BAHIA,correntina,0.79,agriculture,1060525,2020 -Cerrado,BAHIA,correntina,2.13,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,15.11,agriculture,790814,2020 -Caatinga,BAHIA,barra,1.39,others,139778,2020 -Cerrado,BAHIA,santa rita de cássia,1.83,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,3.75,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,3.05,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,7.07,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,4.16,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,3.22,agriculture,1085054,2020 -Cerrado,BAHIA,riachão das neves,8.01,agriculture,1085054,2020 -Cerrado,BAHIA,barreiras,17.8,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,4.58,agriculture,1085054,2020 -Caatinga,BAHIA,santa rita de cássia,2.84,agriculture,859509,2020 -Caatinga,BAHIA,barra,24.59,agriculture,79058,2021 -Cerrado,BAHIA,santa rita de cássia,5.72,agriculture,998700,2021 -Mata Atlântica,BAHIA,itapetinga,8.57,agriculture,20727,2021 -Caatinga,BAHIA,cotegipe,2.69,agriculture,292547,2021 -Caatinga,BAHIA,cocos,14.77,agriculture,1229644,2021 -Mata Atlântica,BAHIA,valença,9.56,agriculture,195332,2021 -Cerrado,BAHIA,santa rita de cássia,13.22,agriculture,998700,2021 -Cerrado,BAHIA,baianópolis,1348.52,agriculture,1700892,2021 -Mata Atlântica,BAHIA,valença,7.77,agriculture,195332,2021 -Caatinga,BAHIA,santa rita de cássia,4.96,agriculture,998700,2021 -Caatinga,BAHIA,barra,6.73,others,79058,2021 -Cerrado,BAHIA,santa rita de cássia,26.23,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,20.12,others,292547,2021 -Caatinga,BAHIA,cotegipe,10.22,agriculture,292547,2021 -Cerrado,BAHIA,santa rita de cássia,24.57,agriculture,998700,2021 -Cerrado,BAHIA,luís eduardo magalhães,31.47,agriculture,654262,2021 -Caatinga,BAHIA,santa rita de cássia,5.37,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,12.49,agriculture,998700,2021 -Mata Atlântica,BAHIA,itarantim,12.52,agriculture,203154,2022 -Mata Atlântica,BAHIA,itambé,11.13,agriculture,227632,2022 -Cerrado,BAHIA,são desidério,44.19,agriculture,2729422,2022 -Cerrado,BAHIA,barreiras,7.65,agriculture,996163,2022 -Cerrado,BAHIA,formosa do rio preto,168.06,agriculture,2432263,2022 -Cerrado,BAHIA,jaborandi,411.96,agriculture,1734316,2022 -Cerrado,BAHIA,santa rita de cássia,0.71,agriculture,569631,2022 -Mata Atlântica,BAHIA,valença,0.84,agriculture,378871,2022 -Mata Atlântica,BAHIA,camamu,0.68,agriculture,232571,2022 -Mata Atlântica,BAHIA,nilo peçanha,0.61,agriculture,238334,2022 -Cerrado,BAHIA,são desidério,39.98,agriculture,2729422,2022 -Cerrado,BAHIA,cotegipe,2.84,agriculture,297663,2022 -Cerrado,BAHIA,são desidério,4.47,agriculture,2729422,2022 -Cerrado,BAHIA,cocos,173.34,agriculture,367625,2022 -Cerrado,BAHIA,jaborandi,540.83,agriculture,1734316,2022 -Mata Atlântica,BAHIA,valença,1.71,agriculture,378871,2022 -Mata Atlântica,BAHIA,itarantim,2.8,agriculture,203154,2022 -Cerrado,BAHIA,santa rita de cássia,10.26,agriculture,569631,2022 -Cerrado,BAHIA,barreiras,93.52,agriculture,996163,2022 -Cerrado,BAHIA,barreiras,28.21,agriculture,996163,2022 -Mata Atlântica,BAHIA,belmonte,7.06,agriculture,390403,2019 -Cerrado,BAHIA,barreiras,371.35,agriculture,1568927,2019 -Cerrado,BAHIA,luís eduardo magalhães,0.52,urban_expansion,800435,2019 -Cerrado,BAHIA,correntina,11.83,agriculture,1545572,2019 -Caatinga,BAHIA,santa rita de cássia,15.86,agriculture,694797,2019 -Cerrado,BAHIA,barreiras,58.99,agriculture,1568927,2019 -Mata Atlântica,BAHIA,belmonte,5.51,agriculture,390403,2019 -Cerrado,BAHIA,formosa do rio preto,23.09,agriculture,4220327,2019 -Cerrado,BAHIA,barreiras,276.35,agriculture,1568927,2019 -Cerrado,BAHIA,são desidério,2.68,agriculture,2024107,2019 -Cerrado,BAHIA,são desidério,29.85,agriculture,2024107,2019 -Cerrado,BAHIA,são desidério,7.93,agriculture,2024107,2019 -Cerrado,BAHIA,jaborandi,1065.98,agriculture,1706967,2019 -Cerrado,BAHIA,formosa do rio preto,100.38,agriculture,4220327,2019 -Cerrado,BAHIA,formosa do rio preto,1552.16,agriculture,4220327,2019 -Cerrado,BAHIA,riachão das neves,168.99,agriculture,580173,2019 -Cerrado,BAHIA,formosa do rio preto,2032.02,agriculture,4220327,2019 -Cerrado,BAHIA,jaborandi,198.38,agriculture,1706967,2019 -Mata Atlântica,BAHIA,valença,4.99,agriculture,247673,2019 -Mata Atlântica,BAHIA,guaratinga,3.04,agriculture,211708,2019 -Cerrado,BAHIA,cocos,104.13,agriculture,1218387,2020 -Mata Atlântica,BAHIA,ilhéus,6.14,agriculture,191205,2020 -Caatinga,BAHIA,barreiras,33.91,agriculture,1179766,2020 -Cerrado,BAHIA,são desidério,51.76,agriculture,3091203,2020 -Cerrado,BAHIA,barreiras,4.55,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,8.18,agriculture,859509,2020 -Cerrado,BAHIA,correntina,3.51,agriculture,1060525,2020 -Mata Atlântica,BAHIA,jequié,6.06,agriculture,186265,2020 -Mata Atlântica,BAHIA,ilhéus,4.23,agriculture,191205,2020 -Cerrado,BAHIA,jaborandi,1135.88,agriculture,1744004,2020 -Caatinga,BAHIA,cocos,83.59,agriculture,1218387,2020 -Cerrado,BAHIA,jaborandi,5.66,agriculture,1744004,2020 -Cerrado,BAHIA,luís eduardo magalhães,26.86,agriculture,1523413,2020 -Cerrado,BAHIA,santa rita de cássia,18.28,agriculture,859509,2020 -Mata Atlântica,BAHIA,ilhéus,0.54,agriculture,191205,2020 -Caatinga,BAHIA,santa rita de cássia,11.71,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,3.61,agriculture,859509,2020 -Cerrado,BAHIA,correntina,4.16,agriculture,1060525,2020 -Caatinga,BAHIA,cotegipe,10.29,agriculture,559960,2020 -Cerrado,BAHIA,correntina,15.32,agriculture,1060525,2020 -Mata Atlântica,BAHIA,valença,1.28,agriculture,427637,2020 -Mata Atlântica,BAHIA,guaratinga,2.91,agriculture,251656,2020 -Cerrado,BAHIA,riachão das neves,13.07,agriculture,1085054,2020 -Cerrado,BAHIA,formosa do rio preto,37.91,agriculture,2299737,2021 -Cerrado,BAHIA,barreiras,170.26,agriculture,958306,2021 -Caatinga,BAHIA,cotegipe,13.9,agriculture,292547,2021 -Cerrado,BAHIA,correntina,272.74,agriculture,1585476,2021 -Cerrado,BAHIA,são desidério,89.68,agriculture,3159579,2021 -Mata Atlântica,BAHIA,itagibá,3.01,urban_expansion,111453,2021 -Cerrado,BAHIA,baianópolis,381.66,agriculture,1700892,2021 -Cerrado,BAHIA,formosa do rio preto,4.8,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,1.64,agriculture,2299737,2021 -Cerrado,BAHIA,riachão das neves,22.11,agriculture,761963,2021 -Caatinga,BAHIA,cotegipe,2.83,agriculture,292547,2021 -Cerrado,BAHIA,barreiras,17.86,agriculture,958306,2021 -Cerrado,BAHIA,formosa do rio preto,77.01,others,2299737,2021 -Caatinga,BAHIA,cotegipe,20.95,agriculture,292547,2021 -Caatinga,BAHIA,barra,2.87,others,139778,2020 -Caatinga,BAHIA,barra,1.33,others,139778,2020 -Cerrado,BAHIA,são desidério,1.05,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,12.06,agriculture,3091203,2020 -Caatinga,BAHIA,jaborandi,7.44,agriculture,1744004,2020 -Caatinga,BAHIA,barra,1.78,agriculture,139778,2020 -Cerrado,BAHIA,riachão das neves,11.33,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,4.32,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,1.9,others,859509,2020 -Caatinga,BAHIA,santa rita de cássia,4.76,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,5.53,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,26.61,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,7.3,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,2.5,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,31.46,agriculture,998700,2021 -Mata Atlântica,BAHIA,guaratinga,6.77,agriculture,171742,2021 -Cerrado,BAHIA,correntina,29.96,agriculture,1585476,2021 -Mata Atlântica,BAHIA,itagibá,11.86,agriculture,111453,2021 -Cerrado,BAHIA,santa rita de cássia,8.55,agriculture,998700,2021 -Mata Atlântica,BAHIA,itapetinga,4.16,agriculture,20727,2021 -Mata Atlântica,BAHIA,camamu,3.95,agriculture,163548,2021 -Caatinga,BAHIA,santa rita de cássia,10.03,agriculture,998700,2021 -Caatinga,BAHIA,barra,0.92,agriculture,79058,2021 -Caatinga,BAHIA,santa rita de cássia,1.08,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,6.2,agriculture,998700,2021 -Cerrado,BAHIA,cocos,2.22,agriculture,1229644,2021 -Cerrado,BAHIA,barreiras,5.42,agriculture,958306,2021 -Cerrado,BAHIA,santa rita de cássia,7.31,agriculture,998700,2021 -Caatinga,BAHIA,barra,29.64,others,79058,2021 -Cerrado,BAHIA,santa rita de cássia,771.0,agriculture,998700,2021 -Cerrado,BAHIA,baianópolis,1015.77,agriculture,1700892,2021 -Cerrado,BAHIA,jaborandi,23.49,agriculture,2051920,2021 -Cerrado,BAHIA,formosa do rio preto,25.99,agriculture,2299737,2021 -Mata Atlântica,BAHIA,valença,4.26,agriculture,195332,2021 -Cerrado,BAHIA,formosa do rio preto,9.15,agriculture,2432263,2022 -Cerrado,BAHIA,baianópolis,173.73,agriculture,413632,2022 -Cerrado,BAHIA,baianópolis,20.38,agriculture,413632,2022 -Cerrado,BAHIA,correntina,12.42,agriculture,1473135,2022 -Cerrado,BAHIA,santa rita de cássia,308.83,agriculture,569631,2022 -Cerrado,BAHIA,luís eduardo magalhães,66.79,agriculture,343098,2022 -Cerrado,BAHIA,jaborandi,260.55,agriculture,1734316,2022 -Cerrado,BAHIA,barreiras,163.28,agriculture,996163,2022 -Cerrado,BAHIA,cocos,56.31,agriculture,367625,2022 -Mata Atlântica,BAHIA,guaratinga,1.2,agriculture,243882,2022 -Cerrado,BAHIA,são desidério,2661.74,agriculture,2729422,2022 -Cerrado,BAHIA,santa rita de cássia,2.36,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,9.46,agriculture,569631,2022 -Mata Atlântica,BAHIA,itambé,1.53,agriculture,227632,2022 -Cerrado,BAHIA,formosa do rio preto,15.91,agriculture,2432263,2022 -Cerrado,BAHIA,correntina,10.38,agriculture,1473135,2022 -Cerrado,BAHIA,são desidério,4.5,agriculture,2729422,2022 -Cerrado,BAHIA,cotegipe,3.62,agriculture,297663,2022 -Cerrado,BAHIA,correntina,10.93,agriculture,1473135,2022 -Cerrado,BAHIA,cocos,1129.62,agriculture,367625,2022 -Cerrado,BAHIA,santa rita de cássia,69.4,agriculture,569631,2022 -Cerrado,BAHIA,formosa do rio preto,20.97,agriculture,2432263,2022 -Mata Atlântica,BAHIA,valença,0.44,agriculture,378871,2022 -Mata Atlântica,BAHIA,ilhéus,1.2,agriculture,209209,2022 -Mata Atlântica,BAHIA,maraú,1.25,agriculture,275953,2022 -Cerrado,BAHIA,baianópolis,8.96,agriculture,607436,2019 -Cerrado,BAHIA,cocos,16.29,agriculture,959394,2019 -Cerrado,BAHIA,santa rita de cássia,108.5,agriculture,694797,2019 -Caatinga,BAHIA,santa rita de cássia,11.39,agriculture,694797,2019 -Cerrado,BAHIA,baianópolis,15.59,agriculture,607436,2019 -Cerrado,BAHIA,jaborandi,675.54,agriculture,1706967,2019 -Cerrado,BAHIA,formosa do rio preto,70.4,agriculture,4220327,2019 -Cerrado,BAHIA,luís eduardo magalhães,11.52,agriculture,800435,2019 -Cerrado,BAHIA,formosa do rio preto,298.84,agriculture,4220327,2019 -Cerrado,BAHIA,santa rita de cássia,10.25,agriculture,694797,2019 -Caatinga,BAHIA,santa rita de cássia,37.54,agriculture,694797,2019 -Cerrado,BAHIA,jaborandi,11.0,agriculture,1706967,2019 -Cerrado,BAHIA,formosa do rio preto,1015.45,agriculture,4220327,2019 -Mata Atlântica,BAHIA,ilhéus,2.05,agriculture,158872,2019 -Cerrado,BAHIA,correntina,25.42,agriculture,1060525,2020 -Cerrado,BAHIA,jaborandi,320.55,agriculture,1744004,2020 -Cerrado,BAHIA,são desidério,11.1,agriculture,3091203,2020 -Cerrado,BAHIA,jaborandi,2294.79,agriculture,1744004,2020 -Cerrado,BAHIA,luís eduardo magalhães,49.8,agriculture,1523413,2020 -Cerrado,BAHIA,santa rita de cássia,12.16,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,249.56,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,15.81,agriculture,859509,2020 -Cerrado,BAHIA,correntina,304.05,agriculture,1060525,2020 -Mata Atlântica,BAHIA,camamu,1.04,agriculture,434741,2020 -Mata Atlântica,BAHIA,ibirapitanga,2.11,agriculture,296362,2020 -Caatinga,BAHIA,santa rita de cássia,2.11,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,62.55,agriculture,859509,2020 -Mata Atlântica,BAHIA,itagibá,7.18,agriculture,72102,2020 -Mata Atlântica,BAHIA,belmonte,1.74,agriculture,350558,2020 -Caatinga,BAHIA,santa rita de cássia,9.65,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,10.71,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,13.09,agriculture,790814,2020 -Cerrado,BAHIA,barreiras,10.19,agriculture,1179766,2020 -Cerrado,BAHIA,são desidério,20.13,agriculture,3091203,2020 -Mata Atlântica,BAHIA,belmonte,11.58,agriculture,350558,2020 -Cerrado,BAHIA,baianópolis,129.7,agriculture,790814,2020 -Cerrado,BAHIA,correntina,46.14,agriculture,1060525,2020 -Caatinga,BAHIA,jaborandi,17.72,agriculture,1744004,2020 -Cerrado,BAHIA,riachão das neves,85.9,agriculture,1085054,2020 -Caatinga,BAHIA,correntina,0.75,agriculture,1060525,2020 -Cerrado,BAHIA,santa rita de cássia,18.32,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,36.64,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,2.98,agriculture,859509,2020 -Mata Atlântica,BAHIA,encruzilhada,26.29,agriculture,451620,2020 -Cerrado,BAHIA,são desidério,18.14,agriculture,3091203,2020 -Caatinga,BAHIA,santa rita de cássia,30.35,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,52.72,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,6.22,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,30.46,agriculture,559960,2020 -Caatinga,BAHIA,barra,2.67,agriculture,139778,2020 -Caatinga,BAHIA,cotegipe,17.05,agriculture,559960,2020 -Caatinga,BAHIA,santa rita de cássia,28.8,agriculture,859509,2020 -Mata Atlântica,BAHIA,ibirapitanga,1.08,agriculture,72436,2021 -Caatinga,BAHIA,santa rita de cássia,15.79,agriculture,998700,2021 -Cerrado,BAHIA,santa rita de cássia,26.45,agriculture,998700,2021 -Cerrado,BAHIA,luís eduardo magalhães,28.38,agriculture,654262,2021 -Cerrado,BAHIA,baianópolis,333.24,agriculture,1700892,2021 -Caatinga,BAHIA,cotegipe,5.16,agriculture,292547,2021 -Cerrado,BAHIA,são desidério,1326.77,agriculture,3159579,2021 -Caatinga,BAHIA,santa rita de cássia,5.85,others,998700,2021 -Mata Atlântica,BAHIA,encruzilhada,8.67,agriculture,587315,2021 -Cerrado,BAHIA,baianópolis,26.5,agriculture,1700892,2021 -Cerrado,BAHIA,barreiras,5.51,agriculture,1179766,2020 -Caatinga,BAHIA,barra,3.74,agriculture,139778,2020 -Cerrado,BAHIA,correntina,2.82,agriculture,1060525,2020 -Cerrado,BAHIA,correntina,4.37,agriculture,1060525,2020 -Cerrado,BAHIA,santa rita de cássia,0.79,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,6.17,agriculture,859509,2020 -Cerrado,BAHIA,luís eduardo magalhães,4.93,agriculture,1523413,2020 -Cerrado,BAHIA,barreiras,4.37,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,3.31,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,3.33,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,2.31,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,2.86,agriculture,1085054,2020 -Caatinga,BAHIA,santa rita de cássia,1.71,agriculture,859509,2020 -Caatinga,BAHIA,cocos,48.71,others,1218387,2020 -Cerrado,BAHIA,formosa do rio preto,18.97,others,2299737,2021 -Cerrado,BAHIA,são desidério,5.14,agriculture,3159579,2021 -Cerrado,BAHIA,formosa do rio preto,355.01,agriculture,2299737,2021 -Mata Atlântica,BAHIA,encruzilhada,3.54,agriculture,587315,2021 -Mata Atlântica,BAHIA,encruzilhada,0.88,agriculture,587315,2021 -Cerrado,BAHIA,baianópolis,16.38,agriculture,1700892,2021 -Caatinga,BAHIA,barra,0.47,agriculture,79058,2021 -Caatinga,BAHIA,santa rita de cássia,4.11,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,3.3,agriculture,292547,2021 -Cerrado,BAHIA,santa rita de cássia,8.52,agriculture,998700,2021 -Caatinga,BAHIA,barra,0.93,others,79058,2021 -Cerrado,BAHIA,santa rita de cássia,197.14,agriculture,998700,2021 -Cerrado,BAHIA,formosa do rio preto,256.47,agriculture,2299737,2021 -Cerrado,BAHIA,são desidério,356.04,agriculture,3159579,2021 -Cerrado,BAHIA,correntina,1213.07,agriculture,1585476,2021 -Cerrado,BAHIA,jaborandi,34.25,agriculture,2051920,2021 -Caatinga,BAHIA,barra,158.14,agriculture,79058,2021 -Mata Atlântica,BAHIA,ilhéus,10.1,agriculture,131715,2021 -Mata Atlântica,BAHIA,belmonte,16.81,agriculture,331485,2021 -Caatinga,BAHIA,santa rita de cássia,5.42,agriculture,998700,2021 -Cerrado,BAHIA,são desidério,2.64,agriculture,3159579,2021 -Caatinga,BAHIA,cotegipe,19.46,agriculture,292547,2021 -Mata Atlântica,BAHIA,encruzilhada,28.56,agriculture,414662,2022 -Mata Atlântica,BAHIA,itambé,1.44,agriculture,227632,2022 -Cerrado,BAHIA,correntina,349.34,agriculture,1473135,2022 -Cerrado,BAHIA,formosa do rio preto,4.21,agriculture,2432263,2022 -Cerrado,BAHIA,são desidério,327.5,agriculture,2729422,2022 -Mata Atlântica,BAHIA,encruzilhada,8.84,agriculture,414662,2022 -Cerrado,BAHIA,são desidério,138.17,agriculture,2729422,2022 -Cerrado,BAHIA,santa rita de cássia,5.56,agriculture,569631,2022 -Caatinga,BAHIA,barra,0.84,others,312169,2022 -Cerrado,BAHIA,são desidério,2.32,agriculture,2729422,2022 -Cerrado,BAHIA,riachão das neves,49.63,agriculture,670183,2022 -Cerrado,BAHIA,santa rita de cássia,19.9,agriculture,569631,2022 -Mata Atlântica,BAHIA,camamu,1.19,agriculture,232571,2022 -Cerrado,BAHIA,santa rita de cássia,166.28,agriculture,569631,2022 -Cerrado,BAHIA,formosa do rio preto,127.59,agriculture,2432263,2022 -Mata Atlântica,BAHIA,camamu,2.95,agriculture,221471,2019 -Cerrado,BAHIA,são desidério,79.61,agriculture,2024107,2019 -Cerrado,BAHIA,luís eduardo magalhães,42.54,agriculture,800435,2019 -Caatinga,BAHIA,cocos,9.08,agriculture,959394,2019 -Caatinga,BAHIA,jaborandi,19.77,agriculture,1706967,2019 -Cerrado,BAHIA,baianópolis,26.43,agriculture,607436,2019 -Mata Atlântica,BAHIA,itagibá,21.1,agriculture,121675,2019 -Cerrado,BAHIA,formosa do rio preto,15.44,agriculture,4220327,2019 -Cerrado,BAHIA,riachão das neves,40.71,agriculture,580173,2019 -Mata Atlântica,BAHIA,camamu,4.45,agriculture,221471,2019 -Cerrado,BAHIA,riachão das neves,19.11,agriculture,580173,2019 -Cerrado,BAHIA,formosa do rio preto,205.86,agriculture,4220327,2019 -Cerrado,BAHIA,formosa do rio preto,386.35,agriculture,4220327,2019 -Caatinga,BAHIA,cotegipe,24.46,agriculture,331163,2019 -Cerrado,BAHIA,cocos,16.55,agriculture,959394,2019 -Cerrado,BAHIA,formosa do rio preto,11.47,agriculture,4220327,2019 -Mata Atlântica,BAHIA,maraú,1.91,agriculture,80207,2019 -Cerrado,BAHIA,santa rita de cássia,17.75,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,323.17,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,165.15,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,95.7,agriculture,1085054,2020 -Cerrado,BAHIA,riachão das neves,259.4,agriculture,1085054,2020 -Mata Atlântica,BAHIA,valença,2.32,agriculture,427637,2020 -Mata Atlântica,BAHIA,igrapiúna,1.36,agriculture,378236,2020 -Caatinga,BAHIA,santa rita de cássia,7.72,agriculture,859509,2020 -Cerrado,BAHIA,jaborandi,5.51,agriculture,1744004,2020 -Caatinga,BAHIA,correntina,8.96,agriculture,1060525,2020 -Caatinga,BAHIA,cotegipe,11.33,agriculture,559960,2020 -Cerrado,BAHIA,barreiras,8.79,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,54.34,agriculture,859509,2020 -Caatinga,BAHIA,barra,2.37,agriculture,139778,2020 -Caatinga,BAHIA,santa rita de cássia,8.13,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,18.1,agriculture,790814,2020 -Mata Atlântica,BAHIA,nilo peçanha,1.71,agriculture,154625,2020 -Cerrado,BAHIA,santa rita de cássia,7.37,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,25.41,agriculture,2299737,2021 -Cerrado,BAHIA,são desidério,4418.4,agriculture,3159579,2021 -Cerrado,BAHIA,formosa do rio preto,10.94,agriculture,2299737,2021 -Caatinga,BAHIA,cotegipe,11.24,agriculture,292547,2021 -Cerrado,BAHIA,jaborandi,17.19,agriculture,2051920,2021 -Mata Atlântica,BAHIA,ibirapitanga,1.05,agriculture,72436,2021 -Mata Atlântica,BAHIA,jequié,6.62,agriculture,163926,2021 -Caatinga,BAHIA,cotegipe,11.67,agriculture,292547,2021 -Cerrado,BAHIA,são desidério,2.39,agriculture,3159579,2021 -Cerrado,BAHIA,correntina,4.31,agriculture,1585476,2021 -Cerrado,BAHIA,correntina,14.62,agriculture,1585476,2021 -Cerrado,BAHIA,riachão das neves,162.74,agriculture,761963,2021 -Caatinga,BAHIA,barra,0.41,agriculture,79058,2021 -Caatinga,BAHIA,barra,36.5,agriculture,79058,2021 -Caatinga,BAHIA,santa rita de cássia,8.69,agriculture,998700,2021 -Cerrado,BAHIA,santa rita de cássia,4.61,agriculture,998700,2021 -Mata Atlântica,BAHIA,belmonte,9.31,agriculture,331485,2021 -Cerrado,BAHIA,formosa do rio preto,19.72,agriculture,3073766,2020 -Cerrado,BAHIA,são desidério,3.64,others,3091203,2020 -Caatinga,BAHIA,cotegipe,2.14,others,559960,2020 -Cerrado,BAHIA,são desidério,3.33,agriculture,3091203,2020 -Cerrado,BAHIA,cocos,40.74,agriculture,1218387,2020 -Cerrado,BAHIA,cotegipe,2.71,agriculture,559960,2020 -Caatinga,BAHIA,santa rita de cássia,3.93,others,859509,2020 -Caatinga,BAHIA,barra,1.99,others,139778,2020 -Caatinga,BAHIA,cotegipe,5.3,others,559960,2020 -Cerrado,BAHIA,cotegipe,4.55,agriculture,559960,2020 -Cerrado,BAHIA,santa rita de cássia,6.65,agriculture,859509,2020 -Cerrado,BAHIA,cotegipe,5.97,agriculture,559960,2020 -Caatinga,BAHIA,cotegipe,3.25,agriculture,559960,2020 -Cerrado,BAHIA,baianópolis,5.88,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,1.57,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,1.54,agriculture,790814,2020 -Caatinga,BAHIA,correntina,2.65,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,20.47,agriculture,790814,2020 -Cerrado,BAHIA,são desidério,1.69,agriculture,3091203,2020 -Cerrado,BAHIA,formosa do rio preto,4.7,agriculture,3073766,2020 -Caatinga,BAHIA,santa rita de cássia,1.0,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,2.64,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,3.54,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,3.15,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,10.57,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,6.47,agriculture,859509,2020 -Cerrado,BAHIA,cocos,9.27,agriculture,1218387,2020 -Cerrado,BAHIA,jaborandi,6.86,agriculture,1744004,2020 -Caatinga,BAHIA,santa rita de cássia,24.09,others,859509,2020 -Cerrado,BAHIA,cocos,3.95,agriculture,1218387,2020 -Caatinga,BAHIA,correntina,1.83,others,1585476,2021 -Cerrado,BAHIA,riachão das neves,9.99,agriculture,761963,2021 -Cerrado,BAHIA,são desidério,12.55,agriculture,3159579,2021 -Cerrado,BAHIA,barreiras,27.21,agriculture,958306,2021 -Cerrado,BAHIA,jaborandi,28.54,agriculture,2051920,2021 -Cerrado,BAHIA,santa rita de cássia,140.33,agriculture,998700,2021 -Mata Atlântica,BAHIA,camamu,0.99,agriculture,163548,2021 -Mata Atlântica,BAHIA,belmonte,3.41,agriculture,331485,2021 -Caatinga,BAHIA,barra,2.32,agriculture,79058,2021 -Cerrado,BAHIA,riachão das neves,195.28,agriculture,761963,2021 -Caatinga,BAHIA,santa rita de cássia,2.67,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,9.69,agriculture,292547,2021 -Cerrado,BAHIA,baianópolis,0.71,agriculture,1700892,2021 -Cerrado,BAHIA,jaborandi,29.34,agriculture,2051920,2021 -Cerrado,BAHIA,jaborandi,22.16,agriculture,2051920,2021 -Caatinga,BAHIA,cotegipe,47.47,agriculture,292547,2021 -Caatinga,BAHIA,cotegipe,10.78,agriculture,292547,2021 -Cerrado,BAHIA,cotegipe,0.79,agriculture,292547,2021 -Caatinga,BAHIA,cotegipe,4.21,agriculture,292547,2021 -Cerrado,BAHIA,formosa do rio preto,82.97,agriculture,2432263,2022 -Cerrado,BAHIA,são desidério,3408.17,agriculture,2729422,2022 -Cerrado,BAHIA,formosa do rio preto,701.67,agriculture,2432263,2022 -Cerrado,BAHIA,são desidério,112.83,agriculture,2729422,2022 -Mata Atlântica,BAHIA,encruzilhada,14.95,agriculture,414662,2022 -Mata Atlântica,BAHIA,ilhéus,1.18,others,209209,2022 -Cerrado,BAHIA,são desidério,169.71,agriculture,2729422,2022 -Mata Atlântica,BAHIA,iguaí,13.22,agriculture,277970,2022 -Mata Atlântica,BAHIA,maraú,1.43,agriculture,275953,2022 -Mata Atlântica,BAHIA,valença,1.67,agriculture,378871,2022 -Mata Atlântica,BAHIA,belmonte,0.16,agriculture,354868,2022 -Mata Atlântica,BAHIA,itarantim,0.68,agriculture,203154,2022 -Cerrado,BAHIA,correntina,2.16,agriculture,1473135,2022 -Cerrado,BAHIA,são desidério,1.36,agriculture,2729422,2022 -Cerrado,BAHIA,cotegipe,4.39,agriculture,297663,2022 -Cerrado,BAHIA,jaborandi,8.93,agriculture,1734316,2022 -Caatinga,BAHIA,jaborandi,6.2,others,1734316,2022 -Cerrado,BAHIA,formosa do rio preto,8.4,agriculture,2432263,2022 -Cerrado,BAHIA,correntina,2.11,agriculture,1473135,2022 -Caatinga,BAHIA,barra,19.97,others,312169,2022 -Mata Atlântica,BAHIA,valença,1.46,agriculture,378871,2022 -Mata Atlântica,BAHIA,nilo peçanha,4.95,agriculture,238334,2022 -Cerrado,BAHIA,são desidério,46.97,agriculture,2729422,2022 -Mata Atlântica,BAHIA,belmonte,2.28,agriculture,390403,2019 -Cerrado,BAHIA,santa rita de cássia,9.08,agriculture,694797,2019 -Caatinga,BAHIA,jaborandi,4.82,agriculture,1706967,2019 -Cerrado,BAHIA,luís eduardo magalhães,168.38,agriculture,800435,2019 -Cerrado,BAHIA,formosa do rio preto,14.88,agriculture,4220327,2019 -Cerrado,BAHIA,riachão das neves,37.7,agriculture,580173,2019 -Caatinga,BAHIA,cocos,17.26,agriculture,959394,2019 -Cerrado,BAHIA,formosa do rio preto,451.05,agriculture,4220327,2019 -Cerrado,BAHIA,santa rita de cássia,10.03,agriculture,694797,2019 -Cerrado,BAHIA,luís eduardo magalhães,139.58,agriculture,800435,2019 -Cerrado,BAHIA,luís eduardo magalhães,105.04,agriculture,800435,2019 -Cerrado,BAHIA,barreiras,12.03,agriculture,1568927,2019 -Mata Atlântica,BAHIA,guaratinga,7.36,agriculture,211708,2019 -Mata Atlântica,BAHIA,itambé,8.2,agriculture,100107,2019 -Mata Atlântica,BAHIA,ibirapitanga,2.39,agriculture,86205,2019 -Cerrado,BAHIA,correntina,2.2,agriculture,1060525,2020 -Cerrado,BAHIA,barreiras,223.89,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,384.05,agriculture,1179766,2020 -Cerrado,BAHIA,formosa do rio preto,117.6,agriculture,3073766,2020 -Cerrado,BAHIA,riachão das neves,1.95,agriculture,1085054,2020 -Cerrado,BAHIA,correntina,1017.31,agriculture,1060525,2020 -Cerrado,BAHIA,formosa do rio preto,1194.74,agriculture,3073766,2020 -Cerrado,BAHIA,jaborandi,10.36,agriculture,1744004,2020 -Mata Atlântica,BAHIA,encruzilhada,69.86,agriculture,451620,2020 -Cerrado,BAHIA,são desidério,11.18,agriculture,3091203,2020 -Cerrado,BAHIA,santa rita de cássia,24.06,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,13.24,agriculture,1085054,2020 -Mata Atlântica,BAHIA,valença,5.14,agriculture,427637,2020 -Cerrado,BAHIA,barreiras,22.19,agriculture,1179766,2020 -Cerrado,BAHIA,formosa do rio preto,24.7,agriculture,3073766,2020 -Cerrado,BAHIA,são desidério,32.52,agriculture,3091203,2020 -Caatinga,BAHIA,correntina,1.09,agriculture,1060525,2020 -Cerrado,BAHIA,barreiras,11.71,agriculture,1179766,2020 -Cerrado,BAHIA,correntina,23.9,agriculture,1060525,2020 -Cerrado,BAHIA,santa rita de cássia,38.26,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,6.75,agriculture,3091203,2020 -Cerrado,BAHIA,baianópolis,29.21,agriculture,790814,2020 -Mata Atlântica,BAHIA,nilo peçanha,2.1,agriculture,154625,2020 -Caatinga,BAHIA,barra,4.12,agriculture,139778,2020 -Caatinga,BAHIA,santa rita de cássia,25.66,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,10.73,agriculture,559960,2020 -Caatinga,BAHIA,santa rita de cássia,17.98,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,8.89,agriculture,859509,2020 -Mata Atlântica,BAHIA,valença,2.03,agriculture,427637,2020 -Cerrado,BAHIA,santa rita de cássia,3.61,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,1.54,agriculture,859509,2020 -Mata Atlântica,BAHIA,camamu,2.67,agriculture,434741,2020 -Mata Atlântica,BAHIA,maraú,1.28,agriculture,170126,2020 -Mata Atlântica,BAHIA,dário meira,5.45,agriculture,101797,2021 -Cerrado,BAHIA,formosa do rio preto,15.63,agriculture,2299737,2021 -Mata Atlântica,BAHIA,valença,4.41,agriculture,195332,2021 -Caatinga,BAHIA,jequié,28.56,agriculture,163926,2021 -Cerrado,BAHIA,são desidério,4.31,agriculture,3159579,2021 -Cerrado,BAHIA,riachão das neves,9.31,agriculture,761963,2021 -Cerrado,BAHIA,são desidério,353.1,agriculture,3159579,2021 -Caatinga,BAHIA,santa rita de cássia,5.04,agriculture,998700,2021 -Mata Atlântica,BAHIA,valença,1.98,agriculture,195332,2021 -Cerrado,BAHIA,riachão das neves,6.89,agriculture,1085054,2020 -Cerrado,BAHIA,formosa do rio preto,2.9,agriculture,3073766,2020 -Cerrado,BAHIA,luís eduardo magalhães,218.09,agriculture,1523413,2020 -Caatinga,BAHIA,cotegipe,1.82,agriculture,559960,2020 -Caatinga,BAHIA,cotegipe,10.37,agriculture,559960,2020 -Cerrado,BAHIA,riachão das neves,2.26,agriculture,1085054,2020 -Caatinga,BAHIA,santa rita de cássia,1.42,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,4.67,others,859509,2020 -Caatinga,BAHIA,cotegipe,0.64,others,559960,2020 -Caatinga,BAHIA,cotegipe,6.52,agriculture,559960,2020 -Caatinga,BAHIA,cotegipe,5.44,others,559960,2020 -Cerrado,BAHIA,baianópolis,3.05,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,1.3,agriculture,790814,2020 -Cerrado,BAHIA,correntina,3.61,agriculture,1060525,2020 -Cerrado,BAHIA,correntina,1.29,agriculture,1060525,2020 -Cerrado,BAHIA,são desidério,5.75,agriculture,3091203,2020 -Cerrado,BAHIA,baianópolis,7.5,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,2.0,agriculture,790814,2020 -Cerrado,BAHIA,jaborandi,3.07,agriculture,1744004,2020 -Caatinga,BAHIA,jaborandi,1.63,agriculture,1744004,2020 -Caatinga,BAHIA,santa rita de cássia,2.81,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,1.45,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,20.19,agriculture,3073766,2020 -Cerrado,BAHIA,barreiras,15.62,agriculture,1179766,2020 -Cerrado,BAHIA,formosa do rio preto,2.8,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,3.17,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,7.25,agriculture,859509,2020 -Caatinga,BAHIA,cocos,8.56,others,1218387,2020 -Cerrado,BAHIA,cocos,7.46,agriculture,1218387,2020 -Cerrado,BAHIA,santa rita de cássia,386.84,agriculture,998700,2021 -Caatinga,BAHIA,cocos,9.16,agriculture,1229644,2021 -Cerrado,BAHIA,são desidério,103.02,agriculture,3159579,2021 -Cerrado,BAHIA,jaborandi,30.17,agriculture,2051920,2021 -Cerrado,BAHIA,barreiras,110.39,agriculture,958306,2021 -Cerrado,BAHIA,barreiras,54.04,agriculture,958306,2021 -Caatinga,BAHIA,santa rita de cássia,13.47,agriculture,998700,2021 -Caatinga,BAHIA,barra,15.87,agriculture,79058,2021 -Caatinga,BAHIA,santa rita de cássia,28.78,others,998700,2021 -Mata Atlântica,BAHIA,belmonte,27.44,agriculture,331485,2021 -Mata Atlântica,BAHIA,itambé,25.31,agriculture,65263,2021 -Mata Atlântica,BAHIA,itambé,3.36,agriculture,65263,2021 -Caatinga,BAHIA,santa rita de cássia,0.61,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,11.24,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,1.65,agriculture,998700,2021 -Caatinga,BAHIA,cocos,11.58,agriculture,1229644,2021 -Caatinga,BAHIA,cocos,12.54,others,1229644,2021 -Cerrado,BAHIA,riachão das neves,1.95,agriculture,761963,2021 -Cerrado,BAHIA,são desidério,64.79,agriculture,3159579,2021 -Cerrado,BAHIA,jaborandi,3887.74,agriculture,2051920,2021 -Mata Atlântica,BAHIA,encruzilhada,4.95,agriculture,414662,2022 -Cerrado,BAHIA,riachão das neves,250.21,agriculture,670183,2022 -Cerrado,BAHIA,luís eduardo magalhães,126.25,agriculture,343098,2022 -Cerrado,BAHIA,correntina,497.62,agriculture,1473135,2022 -Cerrado,BAHIA,são desidério,46.54,agriculture,2729422,2022 -Cerrado,BAHIA,correntina,1046.07,agriculture,1473135,2022 -Cerrado,BAHIA,formosa do rio preto,141.71,agriculture,2432263,2022 -Cerrado,BAHIA,jaborandi,149.32,agriculture,1734316,2022 -Cerrado,BAHIA,santa rita de cássia,2.06,agriculture,569631,2022 -Cerrado,BAHIA,jaborandi,956.95,agriculture,1734316,2022 -Cerrado,BAHIA,barreiras,102.55,agriculture,996163,2022 -Caatinga,BAHIA,cotegipe,6.77,agriculture,297663,2022 -Cerrado,BAHIA,formosa do rio preto,9.45,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,5.11,agriculture,569631,2022 -Cerrado,BAHIA,barreiras,375.94,agriculture,996163,2022 -Cerrado,BAHIA,formosa do rio preto,36.92,agriculture,2432263,2022 -Cerrado,BAHIA,baianópolis,70.57,agriculture,413632,2022 -Cerrado,BAHIA,jaborandi,5.8,agriculture,1734316,2022 -Caatinga,BAHIA,barra,2.39,agriculture,312169,2022 -Cerrado,BAHIA,cocos,32.26,agriculture,367625,2022 -Mata Atlântica,BAHIA,iguaí,0.77,agriculture,277970,2022 -Mata Atlântica,BAHIA,encruzilhada,5.76,others,414662,2022 -Caatinga,BAHIA,santa rita de cássia,13.74,agriculture,694797,2019 -Mata Atlântica,BAHIA,ilhéus,15.6,agriculture,158872,2019 -Cerrado,BAHIA,formosa do rio preto,316.86,agriculture,4220327,2019 -Cerrado,BAHIA,correntina,488.23,agriculture,1545572,2019 -Cerrado,BAHIA,luís eduardo magalhães,25.68,agriculture,800435,2019 -Caatinga,BAHIA,cotegipe,37.87,agriculture,331163,2019 -Cerrado,BAHIA,baianópolis,12.12,agriculture,607436,2019 -Cerrado,BAHIA,são desidério,4.81,agriculture,2024107,2019 -Cerrado,BAHIA,são desidério,17.39,agriculture,2024107,2019 -Cerrado,BAHIA,barreiras,7.48,agriculture,1568927,2019 -Cerrado,BAHIA,baianópolis,13.49,agriculture,607436,2019 -Caatinga,BAHIA,cotegipe,12.26,agriculture,331163,2019 -Cerrado,BAHIA,formosa do rio preto,523.73,agriculture,4220327,2019 -Mata Atlântica,BAHIA,valença,3.16,agriculture,247673,2019 -Mata Atlântica,BAHIA,belmonte,10.02,agriculture,390403,2019 -Mata Atlântica,BAHIA,itapetinga,29.27,agriculture,57074,2019 -Mata Atlântica,BAHIA,camamu,6.29,agriculture,221471,2019 -Mata Atlântica,BAHIA,belmonte,6.67,agriculture,390403,2019 -Cerrado,BAHIA,jaborandi,159.88,agriculture,1744004,2020 -Caatinga,BAHIA,cotegipe,14.28,agriculture,559960,2020 -Cerrado,BAHIA,barreiras,1.84,agriculture,1179766,2020 -Cerrado,BAHIA,formosa do rio preto,169.01,agriculture,3073766,2020 -Cerrado,BAHIA,são desidério,105.18,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,12.41,agriculture,3091203,2020 -Mata Atlântica,BAHIA,camamu,14.16,agriculture,434741,2020 -Mata Atlântica,BAHIA,camamu,1.65,agriculture,434741,2020 -Cerrado,BAHIA,baianópolis,1.03,agriculture,790814,2020 -Cerrado,BAHIA,são desidério,4.73,agriculture,3091203,2020 -Caatinga,BAHIA,santa rita de cássia,72.61,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,16.55,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,226.59,agriculture,859509,2020 -Cerrado,BAHIA,luís eduardo magalhães,28.99,agriculture,1523413,2020 -Cerrado,BAHIA,correntina,293.82,agriculture,1060525,2020 -Cerrado,BAHIA,formosa do rio preto,210.99,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,389.6,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,78.13,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,195.43,agriculture,1085054,2020 -Caatinga,BAHIA,santa rita de cássia,69.42,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,8.18,agriculture,790814,2020 -Cerrado,BAHIA,santa rita de cássia,34.49,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,40.91,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,1.04,agriculture,859509,2020 -Mata Atlântica,BAHIA,camamu,1.01,agriculture,434741,2020 -Cerrado,BAHIA,riachão das neves,29.12,agriculture,1085054,2020 -Cerrado,BAHIA,riachão das neves,5.52,agriculture,1085054,2020 -Caatinga,BAHIA,cocos,29.02,agriculture,1218387,2020 -Cerrado,BAHIA,são desidério,136.55,agriculture,3091203,2020 -Cerrado,BAHIA,cocos,3.07,agriculture,1218387,2020 -Cerrado,BAHIA,cotegipe,12.54,agriculture,559960,2020 -Mata Atlântica,BAHIA,nilo peçanha,1.59,agriculture,154625,2020 -Caatinga,BAHIA,barra,9.42,agriculture,139778,2020 -Caatinga,BAHIA,santa rita de cássia,2.46,agriculture,859509,2020 -Mata Atlântica,BAHIA,maraú,1.28,agriculture,103211,2021 -Mata Atlântica,BAHIA,dário meira,4.64,agriculture,101797,2021 -Mata Atlântica,BAHIA,ilhéus,1.37,agriculture,131715,2021 -Caatinga,BAHIA,santa rita de cássia,11.73,agriculture,998700,2021 -Cerrado,BAHIA,cocos,206.49,agriculture,1229644,2021 -Cerrado,BAHIA,jaborandi,42.75,agriculture,2051920,2021 -Cerrado,BAHIA,santa rita de cássia,50.43,agriculture,998700,2021 -Cerrado,BAHIA,barreiras,1.19,agriculture,958306,2021 -Cerrado,BAHIA,barreiras,13.54,agriculture,958306,2021 -Cerrado,BAHIA,riachão das neves,3.49,agriculture,761963,2021 -Cerrado,BAHIA,riachão das neves,11.33,agriculture,761963,2021 -Cerrado,BAHIA,baianópolis,8.81,agriculture,1700892,2021 -Cerrado,BAHIA,são desidério,2.8,agriculture,3159579,2021 -Cerrado,BAHIA,riachão das neves,5.01,agriculture,761963,2021 -Cerrado,BAHIA,são desidério,425.52,agriculture,3159579,2021 -Cerrado,BAHIA,baianópolis,14.62,others,1700892,2021 -Cerrado,BAHIA,santa rita de cássia,43.67,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,2.3,agriculture,998700,2021 -Caatinga,BAHIA,barra,0.4,others,139778,2020 -Caatinga,BAHIA,barra,6.66,others,139778,2020 -Caatinga,BAHIA,barra,1.53,others,139778,2020 -Caatinga,BAHIA,barra,1.2,agriculture,139778,2020 -Caatinga,BAHIA,barra,1.57,others,139778,2020 -Caatinga,BAHIA,cotegipe,3.34,agriculture,559960,2020 -Caatinga,BAHIA,barra,7.79,others,139778,2020 -Caatinga,BAHIA,barra,0.78,agriculture,139778,2020 -Caatinga,BAHIA,barra,1.35,others,139778,2020 -Caatinga,BAHIA,cotegipe,3.52,others,559960,2020 -Cerrado,BAHIA,santa rita de cássia,0.76,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,10.07,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,4.54,agriculture,790814,2020 -Cerrado,BAHIA,são desidério,0.7,agriculture,3091203,2020 -Cerrado,BAHIA,correntina,23.41,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,1.58,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,3.54,agriculture,790814,2020 -Caatinga,BAHIA,jaborandi,7.95,agriculture,1744004,2020 -Cerrado,BAHIA,barreiras,4.92,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,1.4,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,4.14,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,0.9,agriculture,1085054,2020 -Cerrado,BAHIA,riachão das neves,6.99,agriculture,1085054,2020 -Cerrado,BAHIA,barreiras,6.78,others,958306,2021 -Cerrado,BAHIA,riachão das neves,3.02,agriculture,761963,2021 -Caatinga,BAHIA,cotegipe,15.93,agriculture,292547,2021 -Cerrado,BAHIA,barreiras,27.08,agriculture,958306,2021 -Mata Atlântica,BAHIA,belmonte,2.94,agriculture,331485,2021 -Mata Atlântica,BAHIA,guaratinga,6.42,agriculture,171742,2021 -Mata Atlântica,BAHIA,iguaí,3.51,agriculture,155962,2021 -Cerrado,BAHIA,cocos,48.67,agriculture,1229644,2021 -Mata Atlântica,BAHIA,belmonte,25.21,agriculture,331485,2021 -Mata Atlântica,BAHIA,itambé,4.52,agriculture,65263,2021 -Cerrado,BAHIA,riachão das neves,42.33,agriculture,761963,2021 -Caatinga,BAHIA,santa rita de cássia,0.87,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,0.34,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,13.01,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,0.74,others,998700,2021 -Caatinga,BAHIA,santa rita de cássia,1.71,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,6.92,others,292547,2021 -Caatinga,BAHIA,cocos,6.59,others,1229644,2021 -Cerrado,BAHIA,santa rita de cássia,25.18,agriculture,998700,2021 -Cerrado,BAHIA,santa rita de cássia,103.42,agriculture,998700,2021 -Cerrado,BAHIA,baianópolis,107.1,agriculture,1700892,2021 -Cerrado,BAHIA,barreiras,36.67,agriculture,958306,2021 -Cerrado,BAHIA,cocos,199.01,agriculture,1229644,2021 -Cerrado,BAHIA,santa rita de cássia,140.91,agriculture,998700,2021 -Cerrado,BAHIA,são desidério,456.98,agriculture,3159579,2021 -Mata Atlântica,BAHIA,dário meira,3.86,agriculture,217077,2022 -Mata Atlântica,BAHIA,itapetinga,15.44,agriculture,285382,2022 -Mata Atlântica,BAHIA,jequié,4.42,agriculture,498001,2022 -Cerrado,BAHIA,baianópolis,141.22,agriculture,413632,2022 -Cerrado,BAHIA,formosa do rio preto,11.51,agriculture,2432263,2022 -Caatinga,BAHIA,santa rita de cássia,80.25,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,3.41,others,569631,2022 -Cerrado,BAHIA,santa rita de cássia,4.02,agriculture,569631,2022 -Cerrado,BAHIA,formosa do rio preto,271.3,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,6.62,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,4.41,agriculture,569631,2022 -Cerrado,BAHIA,baianópolis,6.53,agriculture,413632,2022 -Cerrado,BAHIA,correntina,146.07,agriculture,1473135,2022 -Cerrado,BAHIA,formosa do rio preto,544.98,agriculture,4220327,2019 -Cerrado,BAHIA,riachão das neves,10.29,agriculture,580173,2019 -Cerrado,BAHIA,cocos,37.3,agriculture,959394,2019 -Cerrado,BAHIA,baianópolis,31.86,agriculture,607436,2019 -Mata Atlântica,BAHIA,itambé,19.45,agriculture,100107,2019 -Cerrado,BAHIA,cocos,27.88,agriculture,959394,2019 -Caatinga,BAHIA,cocos,97.39,agriculture,959394,2019 -Cerrado,BAHIA,formosa do rio preto,5.92,agriculture,4220327,2019 -Cerrado,BAHIA,baianópolis,45.84,agriculture,607436,2019 -Cerrado,BAHIA,cocos,172.61,agriculture,959394,2019 -Cerrado,BAHIA,formosa do rio preto,973.28,agriculture,4220327,2019 -Cerrado,BAHIA,formosa do rio preto,26.04,agriculture,4220327,2019 -Caatinga,BAHIA,santa rita de cássia,5.52,agriculture,694797,2019 -Caatinga,BAHIA,cotegipe,18.85,agriculture,331163,2019 -Caatinga,BAHIA,santa rita de cássia,5.28,agriculture,694797,2019 -Cerrado,BAHIA,riachão das neves,3.99,agriculture,580173,2019 -Cerrado,BAHIA,barreiras,110.84,agriculture,1568927,2019 -Cerrado,BAHIA,santa rita de cássia,50.87,agriculture,694797,2019 -Mata Atlântica,BAHIA,jequié,2.56,agriculture,249169,2019 -Mata Atlântica,BAHIA,guaratinga,1.37,agriculture,211708,2019 -Cerrado,BAHIA,barreiras,4.8,agriculture,1179766,2020 -Cerrado,BAHIA,são desidério,1291.53,agriculture,3091203,2020 -Cerrado,BAHIA,riachão das neves,458.81,agriculture,1085054,2020 -Cerrado,BAHIA,formosa do rio preto,18.14,agriculture,3073766,2020 -Cerrado,BAHIA,baianópolis,6.96,agriculture,790814,2020 -Mata Atlântica,BAHIA,camamu,5.58,agriculture,434741,2020 -Cerrado,BAHIA,cocos,26.03,agriculture,1218387,2020 -Caatinga,BAHIA,santa rita de cássia,76.85,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,7.4,agriculture,3091203,2020 -Caatinga,BAHIA,jaborandi,3.52,agriculture,1744004,2020 -Caatinga,BAHIA,cotegipe,11.83,agriculture,559960,2020 -Mata Atlântica,BAHIA,valença,3.19,agriculture,427637,2020 -Mata Atlântica,BAHIA,maraú,1.88,agriculture,170126,2020 -Cerrado,BAHIA,baianópolis,3.44,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,13.58,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,37.67,agriculture,859509,2020 -Mata Atlântica,BAHIA,belmonte,6.7,agriculture,350558,2020 -Caatinga,BAHIA,barra,8.94,agriculture,79058,2021 -Mata Atlântica,BAHIA,valença,1.66,agriculture,195332,2021 -Mata Atlântica,BAHIA,itagibá,0.88,urban_expansion,111453,2021 -Mata Atlântica,BAHIA,dário meira,0.86,agriculture,101797,2021 -Cerrado,BAHIA,jaborandi,150.75,agriculture,2051920,2021 -Caatinga,BAHIA,correntina,5.98,agriculture,1585476,2021 -Cerrado,BAHIA,baianópolis,13.49,agriculture,1700892,2021 -Mata Atlântica,BAHIA,valença,1.8,agriculture,195332,2021 -Cerrado,BAHIA,luís eduardo magalhães,104.44,agriculture,654262,2021 -Cerrado,BAHIA,são desidério,1.45,agriculture,3159579,2021 -Cerrado,BAHIA,formosa do rio preto,417.24,agriculture,2299737,2021 -Caatinga,BAHIA,barra,36.71,agriculture,79058,2021 -Cerrado,BAHIA,jaborandi,431.67,agriculture,2051920,2021 -Caatinga,BAHIA,barra,4.35,agriculture,79058,2021 -Caatinga,BAHIA,santa rita de cássia,5.44,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,3.69,agriculture,998700,2021 -Cerrado,BAHIA,luís eduardo magalhães,1.14,agriculture,1523413,2020 -Cerrado,BAHIA,são desidério,1.16,agriculture,3091203,2020 -Caatinga,BAHIA,barra,5.04,agriculture,139778,2020 -Caatinga,BAHIA,barra,3.58,others,139778,2020 -Caatinga,BAHIA,barra,6.54,agriculture,139778,2020 -Caatinga,BAHIA,santa rita de cássia,4.51,others,859509,2020 -Caatinga,BAHIA,cotegipe,1.74,agriculture,559960,2020 -Cerrado,BAHIA,são desidério,2.1,agriculture,3091203,2020 -Cerrado,BAHIA,baianópolis,8.8,agriculture,790814,2020 -Cerrado,BAHIA,santa rita de cássia,1.16,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,1.36,others,859509,2020 -Cerrado,BAHIA,barreiras,5.57,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,7.48,agriculture,1085054,2020 -Cerrado,BAHIA,luís eduardo magalhães,13.59,agriculture,1523413,2020 -Cerrado,BAHIA,formosa do rio preto,0.81,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,3.94,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,7.77,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,67.25,agriculture,3073766,2020 -Caatinga,BAHIA,santa rita de cássia,0.79,agriculture,859509,2020 -Cerrado,BAHIA,cocos,2.33,agriculture,1218387,2020 -Cerrado,BAHIA,jaborandi,4.14,agriculture,1744004,2020 -Caatinga,BAHIA,barra,1.22,agriculture,79058,2021 -Cerrado,BAHIA,santa rita de cássia,302.89,agriculture,998700,2021 -Cerrado,BAHIA,jaborandi,39.72,agriculture,2051920,2021 -Cerrado,BAHIA,correntina,155.66,agriculture,1585476,2021 -Cerrado,BAHIA,santa rita de cássia,27.39,agriculture,998700,2021 -Mata Atlântica,BAHIA,valença,3.11,agriculture,195332,2021 -Cerrado,BAHIA,baianópolis,9.28,agriculture,1700892,2021 -Cerrado,BAHIA,santa rita de cássia,4.07,agriculture,998700,2021 -Cerrado,BAHIA,são desidério,153.12,agriculture,3159579,2021 -Caatinga,BAHIA,santa rita de cássia,10.57,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,40.47,others,998700,2021 -Cerrado,BAHIA,baianópolis,6.27,agriculture,1700892,2021 -Cerrado,BAHIA,formosa do rio preto,1073.03,agriculture,2299737,2021 -Cerrado,BAHIA,cocos,443.54,agriculture,1229644,2021 -Caatinga,BAHIA,cotegipe,5.42,agriculture,292547,2021 -Cerrado,BAHIA,riachão das neves,24.59,agriculture,761963,2021 -Mata Atlântica,BAHIA,itambé,6.42,agriculture,227632,2022 -Mata Atlântica,BAHIA,itagibá,0.56,agriculture,288483,2022 -Mata Atlântica,BAHIA,jequié,0.5,agriculture,498001,2022 -Cerrado,BAHIA,correntina,20.8,agriculture,1473135,2022 -Cerrado,BAHIA,barreiras,27.09,agriculture,996163,2022 -Cerrado,BAHIA,santa rita de cássia,589.8,agriculture,569631,2022 -Mata Atlântica,BAHIA,maraú,1.4,agriculture,275953,2022 -Cerrado,BAHIA,jaborandi,17.94,agriculture,1734316,2022 -Cerrado,BAHIA,santa rita de cássia,7.56,agriculture,569631,2022 -Cerrado,BAHIA,luís eduardo magalhães,58.77,agriculture,343098,2022 -Mata Atlântica,BAHIA,camamu,0.39,agriculture,232571,2022 -Cerrado,BAHIA,riachão das neves,20.08,agriculture,670183,2022 -Cerrado,BAHIA,santa rita de cássia,23.65,agriculture,569631,2022 -Cerrado,BAHIA,luís eduardo magalhães,259.74,agriculture,343098,2022 -Cerrado,BAHIA,barreiras,0.5,agriculture,996163,2022 -Cerrado,BAHIA,correntina,361.37,agriculture,1473135,2022 -Cerrado,BAHIA,formosa do rio preto,59.81,agriculture,2432263,2022 -Caatinga,BAHIA,barra,0.79,others,312169,2022 -Caatinga,BAHIA,barra,1.36,others,312169,2022 -Mata Atlântica,BAHIA,valença,2.8,agriculture,378871,2022 -Cerrado,BAHIA,são desidério,105.29,agriculture,2729422,2022 -Mata Atlântica,BAHIA,itagibá,8.49,agriculture,121675,2019 -Cerrado,BAHIA,santa rita de cássia,4.81,agriculture,694797,2019 -Cerrado,BAHIA,cocos,10.33,agriculture,959394,2019 -Mata Atlântica,BAHIA,valença,3.3,agriculture,247673,2019 -Caatinga,BAHIA,cotegipe,10.88,agriculture,331163,2019 -Cerrado,BAHIA,barreiras,111.73,agriculture,1568927,2019 -Cerrado,BAHIA,santa rita de cássia,47.9,agriculture,694797,2019 -Cerrado,BAHIA,são desidério,181.23,agriculture,2024107,2019 -Cerrado,BAHIA,baianópolis,17.55,agriculture,607436,2019 -Cerrado,BAHIA,barreiras,92.57,agriculture,1568927,2019 -Cerrado,BAHIA,santa rita de cássia,6.09,agriculture,694797,2019 -Cerrado,BAHIA,barreiras,43.33,agriculture,1568927,2019 -Cerrado,BAHIA,baianópolis,49.25,agriculture,607436,2019 -Mata Atlântica,BAHIA,encruzilhada,2.0,agriculture,403895,2019 -Mata Atlântica,BAHIA,belmonte,2.8,agriculture,390403,2019 -Mata Atlântica,BAHIA,ilhéus,4.4,agriculture,158872,2019 -Mata Atlântica,BAHIA,dário meira,11.38,agriculture,94401,2019 -Cerrado,BAHIA,barreiras,32.42,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,31.12,agriculture,1179766,2020 -Mata Atlântica,BAHIA,igrapiúna,1.48,agriculture,378236,2020 -Mata Atlântica,BAHIA,ibirapitanga,1.24,agriculture,296362,2020 -Mata Atlântica,BAHIA,itagibá,32.04,agriculture,72102,2020 -Cerrado,BAHIA,riachão das neves,59.28,agriculture,1085054,2020 -Caatinga,BAHIA,jaborandi,11.45,agriculture,1744004,2020 -Caatinga,BAHIA,santa rita de cássia,25.52,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,28.09,agriculture,1179766,2020 -Cerrado,BAHIA,correntina,52.49,agriculture,1060525,2020 -Caatinga,BAHIA,correntina,3.82,agriculture,1060525,2020 -Caatinga,BAHIA,santa rita de cássia,1.5,agriculture,859509,2020 -Caatinga,BAHIA,jaborandi,16.65,agriculture,1744004,2020 -Cerrado,BAHIA,riachão das neves,21.45,agriculture,1085054,2020 -Cerrado,BAHIA,riachão das neves,3.73,agriculture,1085054,2020 -Mata Atlântica,BAHIA,iguaí,3.14,agriculture,127471,2020 -Cerrado,BAHIA,baianópolis,7.44,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,4.35,agriculture,859509,2020 -Cerrado,BAHIA,cocos,33.7,agriculture,1218387,2020 -Cerrado,BAHIA,são desidério,202.68,agriculture,3091203,2020 -Cerrado,BAHIA,luís eduardo magalhães,47.41,agriculture,1523413,2020 -Cerrado,BAHIA,santa rita de cássia,11.62,agriculture,859509,2020 -Mata Atlântica,BAHIA,valença,2.29,agriculture,427637,2020 -Mata Atlântica,BAHIA,dário meira,3.79,agriculture,92504,2020 -Cerrado,BAHIA,riachão das neves,9.24,agriculture,1085054,2020 -Caatinga,BAHIA,jaborandi,28.38,agriculture,2051920,2021 -Cerrado,BAHIA,cocos,9.77,agriculture,1229644,2021 -Cerrado,BAHIA,baianópolis,6.77,agriculture,1700892,2021 -Cerrado,BAHIA,formosa do rio preto,16.27,agriculture,2299737,2021 -Cerrado,BAHIA,barreiras,54.95,agriculture,958306,2021 -Mata Atlântica,BAHIA,valença,5.08,agriculture,195332,2021 -Cerrado,BAHIA,cocos,173.04,agriculture,1229644,2021 -Mata Atlântica,BAHIA,belmonte,1.36,agriculture,331485,2021 -Mata Atlântica,BAHIA,belmonte,7.51,agriculture,331485,2021 -Caatinga,BAHIA,santa rita de cássia,4.66,agriculture,998700,2021 -Cerrado,BAHIA,santa rita de cássia,8.73,agriculture,998700,2021 -Cerrado,BAHIA,santa rita de cássia,6.66,agriculture,998700,2021 -Caatinga,BAHIA,correntina,1.05,agriculture,1585476,2021 -Caatinga,BAHIA,barra,3.26,agriculture,79058,2021 -Cerrado,BAHIA,são desidério,17.32,agriculture,3159579,2021 -Cerrado,BAHIA,santa rita de cássia,1.7,agriculture,998700,2021 -Cerrado,BAHIA,cocos,0.98,agriculture,1218387,2020 -Cerrado,BAHIA,são desidério,7.93,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,1.09,agriculture,3091203,2020 -Caatinga,BAHIA,barra,2.08,others,139778,2020 -Cerrado,BAHIA,santa rita de cássia,3.2,agriculture,859509,2020 -Caatinga,BAHIA,barra,0.64,others,139778,2020 -Caatinga,BAHIA,barra,6.73,others,139778,2020 -Caatinga,BAHIA,barra,2.09,others,139778,2020 -Caatinga,BAHIA,barra,5.25,others,139778,2020 -Caatinga,BAHIA,barra,3.97,others,139778,2020 -Caatinga,BAHIA,barra,5.68,agriculture,139778,2020 -Caatinga,BAHIA,santa rita de cássia,6.53,others,859509,2020 -Caatinga,BAHIA,cotegipe,4.6,agriculture,559960,2020 -Caatinga,BAHIA,cotegipe,2.71,agriculture,559960,2020 -Cerrado,BAHIA,são desidério,0.41,agriculture,3091203,2020 -Cerrado,BAHIA,correntina,4.65,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,0.86,agriculture,790814,2020 -Cerrado,BAHIA,correntina,1.83,agriculture,1060525,2020 -Caatinga,BAHIA,barra,1.49,others,139778,2020 -Cerrado,BAHIA,riachão das neves,9.87,agriculture,1085054,2020 -Cerrado,BAHIA,riachão das neves,2.3,agriculture,1085054,2020 -Cerrado,BAHIA,luís eduardo magalhães,20.77,agriculture,1523413,2020 -Cerrado,BAHIA,formosa do rio preto,1.24,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,3.02,agriculture,859509,2020 -Caatinga,BAHIA,cocos,3.44,others,1218387,2020 -Cerrado,BAHIA,cocos,7.68,agriculture,1218387,2020 -Cerrado,BAHIA,cocos,3.99,agriculture,1218387,2020 -Caatinga,BAHIA,cocos,2.44,others,1218387,2020 -Mata Atlântica,BAHIA,ilhéus,3.39,agriculture,131715,2021 -Cerrado,BAHIA,santa rita de cássia,7.88,agriculture,998700,2021 -Cerrado,BAHIA,são desidério,8.96,agriculture,3159579,2021 -Cerrado,BAHIA,correntina,151.92,agriculture,1585476,2021 -Cerrado,BAHIA,são desidério,186.23,agriculture,3159579,2021 -Cerrado,BAHIA,formosa do rio preto,12.12,agriculture,2299737,2021 -Cerrado,BAHIA,barreiras,68.67,agriculture,958306,2021 -Cerrado,BAHIA,santa rita de cássia,66.25,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,7.47,agriculture,998700,2021 -Mata Atlântica,BAHIA,encruzilhada,3.31,agriculture,587315,2021 -Mata Atlântica,BAHIA,itapetinga,33.17,agriculture,20727,2021 -Mata Atlântica,BAHIA,iguaí,4.9,agriculture,155962,2021 -Cerrado,BAHIA,riachão das neves,7.17,agriculture,761963,2021 -Caatinga,BAHIA,santa rita de cássia,1.9,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,6.23,agriculture,998700,2021 -Cerrado,BAHIA,riachão das neves,13.6,agriculture,761963,2021 -Caatinga,BAHIA,barra,4.24,others,79058,2021 -Caatinga,BAHIA,santa rita de cássia,3.94,agriculture,998700,2021 -Cerrado,BAHIA,baianópolis,1.2,agriculture,1700892,2021 -Mata Atlântica,BAHIA,jequié,0.82,agriculture,498001,2022 -Mata Atlântica,BAHIA,iguaí,4.87,agriculture,277970,2022 -Cerrado,BAHIA,jaborandi,1457.14,agriculture,1734316,2022 -Cerrado,BAHIA,são desidério,12.01,agriculture,2729422,2022 -Caatinga,BAHIA,cotegipe,21.29,others,297663,2022 -Cerrado,BAHIA,riachão das neves,10.95,agriculture,670183,2022 -Cerrado,BAHIA,barreiras,490.32,agriculture,996163,2022 -Mata Atlântica,BAHIA,camamu,0.61,agriculture,232571,2022 -Mata Atlântica,BAHIA,camamu,0.79,agriculture,232571,2022 -Cerrado,BAHIA,riachão das neves,8.53,agriculture,670183,2022 -Cerrado,BAHIA,são desidério,1.81,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,54.8,agriculture,2729422,2022 -Cerrado,BAHIA,santa rita de cássia,2.17,agriculture,569631,2022 -Cerrado,BAHIA,baianópolis,25.86,agriculture,413632,2022 -Caatinga,BAHIA,barra,0.49,others,312169,2022 -Mata Atlântica,BAHIA,igrapiúna,1.12,agriculture,210971,2022 -Caatinga,BAHIA,santa rita de cássia,12.29,others,569631,2022 -Cerrado,BAHIA,são desidério,14.77,agriculture,2024107,2019 -Caatinga,BAHIA,cocos,3.4,agriculture,959394,2019 -Mata Atlântica,BAHIA,itagibá,4.24,agriculture,121675,2019 -Cerrado,BAHIA,riachão das neves,128.43,agriculture,580173,2019 -Cerrado,BAHIA,baianópolis,11.71,agriculture,607436,2019 -Cerrado,BAHIA,formosa do rio preto,624.93,agriculture,4220327,2019 -Cerrado,BAHIA,correntina,2.17,agriculture,1545572,2019 -Cerrado,BAHIA,riachão das neves,25.23,agriculture,580173,2019 -Cerrado,BAHIA,jaborandi,109.17,agriculture,1706967,2019 -Cerrado,BAHIA,baianópolis,1.76,agriculture,607436,2019 -Cerrado,BAHIA,baianópolis,6.93,agriculture,607436,2019 -Cerrado,BAHIA,baianópolis,5.49,agriculture,607436,2019 -Cerrado,BAHIA,baianópolis,1.91,agriculture,607436,2019 -Cerrado,BAHIA,santa rita de cássia,13.25,agriculture,694797,2019 -Mata Atlântica,BAHIA,ilhéus,6.73,agriculture,158872,2019 -Cerrado,BAHIA,correntina,291.79,agriculture,1060525,2020 -Cerrado,BAHIA,luís eduardo magalhães,21.65,agriculture,1523413,2020 -Caatinga,BAHIA,santa rita de cássia,2.02,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,17.27,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,33.22,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,387.69,agriculture,3073766,2020 -Mata Atlântica,BAHIA,camamu,5.51,agriculture,434741,2020 -Mata Atlântica,BAHIA,belmonte,12.81,agriculture,350558,2020 -Mata Atlântica,BAHIA,belmonte,1.53,agriculture,350558,2020 -Mata Atlântica,BAHIA,igrapiúna,1.11,agriculture,378236,2020 -Cerrado,BAHIA,correntina,92.38,agriculture,1060525,2020 -Cerrado,BAHIA,barreiras,777.83,agriculture,1179766,2020 -Cerrado,BAHIA,são desidério,155.32,agriculture,3091203,2020 -Cerrado,BAHIA,jaborandi,4.73,agriculture,1744004,2020 -Cerrado,BAHIA,baianópolis,169.81,agriculture,790814,2020 -Mata Atlântica,BAHIA,valença,0.99,agriculture,427637,2020 -Cerrado,BAHIA,são desidério,45.4,agriculture,3091203,2020 -Cerrado,BAHIA,riachão das neves,115.82,agriculture,1085054,2020 -Cerrado,BAHIA,baianópolis,250.93,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,20.28,agriculture,790814,2020 -Cerrado,BAHIA,barreiras,18.65,agriculture,1179766,2020 -Cerrado,BAHIA,baianópolis,34.1,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,10.53,agriculture,790814,2020 -Caatinga,BAHIA,correntina,11.82,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,183.28,agriculture,790814,2020 -Cerrado,BAHIA,jaborandi,3.26,agriculture,1744004,2020 -Mata Atlântica,BAHIA,ilhéus,0.35,agriculture,191205,2020 -Mata Atlântica,BAHIA,dário meira,7.17,agriculture,92504,2020 -Caatinga,BAHIA,santa rita de cássia,10.23,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,12.2,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,7.14,agriculture,3091203,2020 -Cerrado,BAHIA,luís eduardo magalhães,103.73,agriculture,1523413,2020 -Cerrado,BAHIA,santa rita de cássia,11.66,agriculture,859509,2020 -Cerrado,BAHIA,cocos,4.3,agriculture,1218387,2020 -Caatinga,BAHIA,correntina,2.4,agriculture,1060525,2020 -Caatinga,BAHIA,santa rita de cássia,10.54,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,16.13,agriculture,859509,2020 -Cerrado,BAHIA,luís eduardo magalhães,51.05,agriculture,1523413,2020 -Cerrado,BAHIA,riachão das neves,1.75,agriculture,1085054,2020 -Cerrado,BAHIA,riachão das neves,2.52,agriculture,1085054,2020 -Cerrado,BAHIA,são desidério,55.84,agriculture,3091203,2020 -Caatinga,BAHIA,cotegipe,13.23,agriculture,292547,2021 -Mata Atlântica,BAHIA,nilo peçanha,3.96,agriculture,59568,2021 -Mata Atlântica,BAHIA,camamu,1.12,agriculture,163548,2021 -Cerrado,BAHIA,jaborandi,416.31,agriculture,2051920,2021 -Cerrado,BAHIA,formosa do rio preto,14.63,agriculture,2299737,2021 -Mata Atlântica,BAHIA,ilhéus,3.01,agriculture,131715,2021 -Cerrado,BAHIA,santa rita de cássia,20.28,agriculture,998700,2021 -Cerrado,BAHIA,barreiras,6.56,agriculture,958306,2021 -Cerrado,BAHIA,cocos,2414.17,agriculture,1229644,2021 -Mata Atlântica,BAHIA,belmonte,6.84,agriculture,331485,2021 -Cerrado,BAHIA,formosa do rio preto,63.68,agriculture,2299737,2021 -Mata Atlântica,BAHIA,ibirapitanga,1.48,agriculture,72436,2021 -Caatinga,BAHIA,barra,1.59,agriculture,79058,2021 -Cerrado,BAHIA,são desidério,10.47,agriculture,3159579,2021 -Cerrado,BAHIA,correntina,1.59,agriculture,1585476,2021 -Cerrado,BAHIA,riachão das neves,12.58,agriculture,761963,2021 -Cerrado,BAHIA,riachão das neves,113.35,agriculture,761963,2021 -Mata Atlântica,BAHIA,ilhéus,12.06,agriculture,131715,2021 -Caatinga,BAHIA,santa rita de cássia,1.19,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,6.04,agriculture,998700,2021 -Cerrado,BAHIA,barreiras,47.05,agriculture,958306,2021 -Caatinga,BAHIA,santa rita de cássia,4.39,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,10.08,agriculture,1179766,2020 -Cerrado,BAHIA,são desidério,3.39,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,4.07,agriculture,3091203,2020 -Caatinga,BAHIA,barra,1.78,others,139778,2020 -Caatinga,BAHIA,barra,0.65,others,139778,2020 -Caatinga,BAHIA,santa rita de cássia,1.86,others,859509,2020 -Caatinga,BAHIA,barra,1.6,others,139778,2020 -Cerrado,BAHIA,baianópolis,3.98,agriculture,790814,2020 -Cerrado,BAHIA,santa rita de cássia,2.75,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,3.76,agriculture,1179766,2020 -Cerrado,BAHIA,cocos,4.31,agriculture,1218387,2020 -Cerrado,BAHIA,santa rita de cássia,1.65,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,2.85,agriculture,859509,2020 -Caatinga,BAHIA,cocos,5.3,others,1218387,2020 -Caatinga,BAHIA,correntina,2.94,others,1585476,2021 -Cerrado,BAHIA,santa rita de cássia,12.85,agriculture,998700,2021 -Cerrado,BAHIA,luís eduardo magalhães,3.61,agriculture,654262,2021 -Cerrado,BAHIA,barreiras,20.72,agriculture,958306,2021 -Cerrado,BAHIA,barreiras,51.45,agriculture,958306,2021 -Cerrado,BAHIA,riachão das neves,10.02,agriculture,761963,2021 -Cerrado,BAHIA,são desidério,26.81,agriculture,3159579,2021 -Mata Atlântica,BAHIA,encruzilhada,18.02,agriculture,587315,2021 -Mata Atlântica,BAHIA,ilhéus,2.71,agriculture,131715,2021 -Mata Atlântica,BAHIA,ilhéus,5.48,agriculture,131715,2021 -Caatinga,BAHIA,jequié,26.42,agriculture,163926,2021 -Cerrado,BAHIA,baianópolis,19.56,agriculture,1700892,2021 -Cerrado,BAHIA,riachão das neves,20.96,agriculture,761963,2021 -Cerrado,BAHIA,santa rita de cássia,3.72,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,5.12,agriculture,292547,2021 -Mata Atlântica,BAHIA,itarantim,4.82,agriculture,203154,2022 -Mata Atlântica,BAHIA,itapetinga,1.21,agriculture,285382,2022 -Cerrado,BAHIA,barreiras,337.11,agriculture,996163,2022 -Cerrado,BAHIA,jaborandi,82.7,agriculture,1734316,2022 -Cerrado,BAHIA,são desidério,65.45,agriculture,2729422,2022 -Cerrado,BAHIA,correntina,1174.8,agriculture,1473135,2022 -Cerrado,BAHIA,formosa do rio preto,10.14,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,25.31,agriculture,2432263,2022 -Cerrado,BAHIA,luís eduardo magalhães,20.4,agriculture,343098,2022 -Caatinga,BAHIA,santa rita de cássia,10.22,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,6.46,agriculture,569631,2022 -Cerrado,BAHIA,riachão das neves,86.1,agriculture,670183,2022 -Cerrado,BAHIA,jaborandi,105.93,agriculture,1734316,2022 -Mata Atlântica,BAHIA,nilo peçanha,0.96,agriculture,238334,2022 -Cerrado,BAHIA,jaborandi,9.88,agriculture,1734316,2022 -Cerrado,BAHIA,riachão das neves,5.8,agriculture,670183,2022 -Cerrado,BAHIA,barreiras,2.08,agriculture,996163,2022 -Cerrado,BAHIA,formosa do rio preto,19.92,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,11.13,agriculture,569631,2022 -Cerrado,BAHIA,correntina,135.62,agriculture,1473135,2022 -Cerrado,BAHIA,baianópolis,13.53,agriculture,413632,2022 -Mata Atlântica,BAHIA,ibirapitanga,2.29,agriculture,86205,2019 -Cerrado,BAHIA,riachão das neves,27.4,agriculture,580173,2019 -Cerrado,BAHIA,baianópolis,61.06,agriculture,607436,2019 -Mata Atlântica,BAHIA,itagibá,5.92,agriculture,121675,2019 -Cerrado,BAHIA,formosa do rio preto,337.37,agriculture,4220327,2019 -Cerrado,BAHIA,barreiras,352.89,agriculture,1568927,2019 -Cerrado,BAHIA,formosa do rio preto,7.12,agriculture,4220327,2019 -Cerrado,BAHIA,baianópolis,24.01,agriculture,607436,2019 -Cerrado,BAHIA,santa rita de cássia,166.5,agriculture,694797,2019 -Cerrado,BAHIA,formosa do rio preto,337.07,agriculture,4220327,2019 -Caatinga,BAHIA,cotegipe,11.87,agriculture,331163,2019 -Cerrado,BAHIA,riachão das neves,31.83,agriculture,580173,2019 -Cerrado,BAHIA,luís eduardo magalhães,339.17,agriculture,800435,2019 -Mata Atlântica,BAHIA,ibirapitanga,2.04,agriculture,86205,2019 -Cerrado,BAHIA,jaborandi,4.34,agriculture,1744004,2020 -Cerrado,BAHIA,são desidério,270.41,agriculture,3091203,2020 -Cerrado,BAHIA,jaborandi,1403.39,agriculture,1744004,2020 -Cerrado,BAHIA,luís eduardo magalhães,188.72,agriculture,1523413,2020 -Mata Atlântica,BAHIA,belmonte,4.59,agriculture,350558,2020 -Caatinga,BAHIA,barra,3.46,agriculture,139778,2020 -Cerrado,BAHIA,cotegipe,5.44,agriculture,559960,2020 -Cerrado,BAHIA,barreiras,19.88,agriculture,1179766,2020 -Cerrado,BAHIA,baianópolis,670.41,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,18.91,agriculture,790814,2020 -Cerrado,BAHIA,santa rita de cássia,11.33,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,2.26,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,3.36,agriculture,790814,2020 -Cerrado,BAHIA,barreiras,27.19,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,11.03,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,6.33,agriculture,859509,2020 -Caatinga,BAHIA,cocos,5.18,agriculture,1218387,2020 -Caatinga,BAHIA,santa rita de cássia,3.03,agriculture,859509,2020 -Mata Atlântica,BAHIA,itambé,26.13,agriculture,144429,2020 -Cerrado,BAHIA,baianópolis,4.77,agriculture,790814,2020 -Cerrado,BAHIA,cotegipe,3.64,agriculture,559960,2020 -Mata Atlântica,BAHIA,camamu,1.72,agriculture,434741,2020 -Mata Atlântica,BAHIA,camamu,1.85,agriculture,434741,2020 -Mata Atlântica,BAHIA,dário meira,24.69,agriculture,92504,2020 -Cerrado,BAHIA,riachão das neves,1.87,agriculture,1085054,2020 -Caatinga,BAHIA,santa rita de cássia,27.96,agriculture,859509,2020 -Caatinga,BAHIA,barra,1.65,agriculture,139778,2020 -Mata Atlântica,BAHIA,guaratinga,4.79,agriculture,171742,2021 -Caatinga,BAHIA,jaborandi,10.95,agriculture,2051920,2021 -Caatinga,BAHIA,cotegipe,62.11,agriculture,292547,2021 -Cerrado,BAHIA,são desidério,241.81,agriculture,3159579,2021 -Cerrado,BAHIA,correntina,361.32,agriculture,1585476,2021 -Caatinga,BAHIA,cocos,18.49,agriculture,1229644,2021 -Mata Atlântica,BAHIA,camamu,1.37,agriculture,163548,2021 -Caatinga,BAHIA,santa rita de cássia,5.11,agriculture,998700,2021 -Mata Atlântica,BAHIA,igrapiúna,1.68,agriculture,148621,2021 -Mata Atlântica,BAHIA,valença,1.41,agriculture,195332,2021 -Cerrado,BAHIA,formosa do rio preto,130.16,agriculture,2299737,2021 -Cerrado,BAHIA,riachão das neves,5.97,agriculture,761963,2021 -Cerrado,BAHIA,correntina,10.15,agriculture,1585476,2021 -Cerrado,BAHIA,baianópolis,5.78,agriculture,1700892,2021 -Cerrado,BAHIA,são desidério,9.74,agriculture,3159579,2021 -Cerrado,BAHIA,luís eduardo magalhães,3.27,agriculture,654262,2021 -Cerrado,BAHIA,formosa do rio preto,1241.5,agriculture,2299737,2021 -Cerrado,BAHIA,barreiras,101.18,agriculture,958306,2021 -Mata Atlântica,BAHIA,ibirapitanga,3.61,agriculture,72436,2021 -Cerrado,BAHIA,são desidério,4.76,agriculture,3091203,2020 -Caatinga,BAHIA,barra,3.85,agriculture,139778,2020 -Caatinga,BAHIA,barra,1.64,others,139778,2020 -Cerrado,BAHIA,santa rita de cássia,2.25,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,4.1,others,559960,2020 -Caatinga,BAHIA,santa rita de cássia,9.23,others,859509,2020 -Cerrado,BAHIA,jaborandi,2.24,agriculture,1744004,2020 -Cerrado,BAHIA,baianópolis,21.88,agriculture,790814,2020 -Cerrado,BAHIA,são desidério,8.58,agriculture,3091203,2020 -Cerrado,BAHIA,correntina,1.37,agriculture,1060525,2020 -Caatinga,BAHIA,santa rita de cássia,5.7,others,859509,2020 -Cerrado,BAHIA,formosa do rio preto,7.55,agriculture,3073766,2020 -Cerrado,BAHIA,riachão das neves,1.29,agriculture,1085054,2020 -Caatinga,BAHIA,santa rita de cássia,5.66,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,3.22,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,4.95,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,1.14,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,6.24,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,18.29,agriculture,2299737,2021 -Caatinga,BAHIA,barra,1.0,agriculture,79058,2021 -Caatinga,BAHIA,cotegipe,41.08,agriculture,292547,2021 -Cerrado,BAHIA,barreiras,143.81,agriculture,958306,2021 -Mata Atlântica,BAHIA,encruzilhada,75.01,agriculture,587315,2021 -Caatinga,BAHIA,jaborandi,13.72,agriculture,2051920,2021 -Cerrado,BAHIA,barreiras,342.55,agriculture,958306,2021 -Cerrado,BAHIA,correntina,501.71,agriculture,1585476,2021 -Cerrado,BAHIA,riachão das neves,31.28,agriculture,761963,2021 -Cerrado,BAHIA,são desidério,30.4,agriculture,3159579,2021 -Mata Atlântica,BAHIA,encruzilhada,124.52,agriculture,587315,2021 -Caatinga,BAHIA,cotegipe,14.07,agriculture,292547,2021 -Cerrado,BAHIA,são desidério,150.96,agriculture,3159579,2021 -Caatinga,BAHIA,cotegipe,2.96,agriculture,292547,2021 -Caatinga,BAHIA,barra,0.25,agriculture,79058,2021 -Caatinga,BAHIA,santa rita de cássia,2.99,agriculture,998700,2021 -Caatinga,BAHIA,barra,6.0,agriculture,79058,2021 -Caatinga,BAHIA,santa rita de cássia,21.29,others,998700,2021 -Cerrado,BAHIA,baianópolis,14.14,agriculture,1700892,2021 -Cerrado,BAHIA,barreiras,5.51,agriculture,958306,2021 -Cerrado,BAHIA,são desidério,6.15,agriculture,3159579,2021 -Caatinga,BAHIA,santa rita de cássia,6.19,agriculture,998700,2021 -Cerrado,BAHIA,luís eduardo magalhães,129.28,agriculture,343098,2022 -Cerrado,BAHIA,correntina,59.7,agriculture,1473135,2022 -Cerrado,BAHIA,riachão das neves,1064.31,agriculture,670183,2022 -Cerrado,BAHIA,cocos,63.27,agriculture,367625,2022 -Cerrado,BAHIA,riachão das neves,218.09,agriculture,670183,2022 -Cerrado,BAHIA,baianópolis,13.54,agriculture,413632,2022 -Cerrado,BAHIA,cocos,1.39,agriculture,367625,2022 -Cerrado,BAHIA,são desidério,5.59,agriculture,2729422,2022 -Cerrado,BAHIA,formosa do rio preto,9.04,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,8.05,agriculture,569631,2022 -Caatinga,BAHIA,barra,4.35,others,312169,2022 -Mata Atlântica,BAHIA,valença,1.1,agriculture,378871,2022 -Mata Atlântica,BAHIA,encruzilhada,7.34,agriculture,414662,2022 -Cerrado,BAHIA,são desidério,379.74,agriculture,2729422,2022 -Cerrado,BAHIA,correntina,216.2,agriculture,1473135,2022 -Mata Atlântica,BAHIA,encruzilhada,12.63,agriculture,403895,2019 -Cerrado,BAHIA,formosa do rio preto,245.57,agriculture,4220327,2019 -Cerrado,BAHIA,jaborandi,698.01,agriculture,1706967,2019 -Cerrado,BAHIA,riachão das neves,5.99,agriculture,580173,2019 -Cerrado,BAHIA,jaborandi,156.01,agriculture,1706967,2019 -Cerrado,BAHIA,são desidério,229.13,agriculture,2024107,2019 -Cerrado,BAHIA,baianópolis,15.65,agriculture,607436,2019 -Cerrado,BAHIA,formosa do rio preto,6.13,agriculture,4220327,2019 -Cerrado,BAHIA,santa rita de cássia,8.84,agriculture,694797,2019 -Cerrado,BAHIA,riachão das neves,29.85,agriculture,580173,2019 -Mata Atlântica,BAHIA,itagibá,14.25,agriculture,121675,2019 -Mata Atlântica,BAHIA,encruzilhada,2.88,agriculture,403895,2019 -Mata Atlântica,BAHIA,ilhéus,2.53,agriculture,158872,2019 -Mata Atlântica,BAHIA,igrapiúna,1.21,agriculture,257694,2019 -Cerrado,BAHIA,baianópolis,54.98,agriculture,790814,2020 -Cerrado,BAHIA,barreiras,25.58,agriculture,1179766,2020 -Cerrado,BAHIA,formosa do rio preto,92.06,agriculture,3073766,2020 -Cerrado,BAHIA,são desidério,1740.08,agriculture,3091203,2020 -Mata Atlântica,BAHIA,valença,4.66,agriculture,427637,2020 -Mata Atlântica,BAHIA,igrapiúna,3.12,agriculture,378236,2020 -Caatinga,BAHIA,cocos,10.65,agriculture,1218387,2020 -Cerrado,BAHIA,são desidério,15.26,agriculture,3091203,2020 -Mata Atlântica,BAHIA,valença,5.83,agriculture,427637,2020 -Mata Atlântica,BAHIA,encruzilhada,7.46,agriculture,451620,2020 -Cerrado,BAHIA,riachão das neves,774.96,agriculture,1085054,2020 -Cerrado,BAHIA,barreiras,87.45,agriculture,1179766,2020 -Cerrado,BAHIA,formosa do rio preto,7.74,agriculture,3073766,2020 -Cerrado,BAHIA,riachão das neves,8.04,agriculture,1085054,2020 -Caatinga,BAHIA,jaborandi,5.23,agriculture,1744004,2020 -Cerrado,BAHIA,santa rita de cássia,178.63,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,7.23,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,31.27,agriculture,1085054,2020 -Cerrado,BAHIA,luís eduardo magalhães,383.88,agriculture,1523413,2020 -Cerrado,BAHIA,são desidério,9.91,agriculture,3091203,2020 -Cerrado,BAHIA,santa rita de cássia,19.31,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,24.76,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,29.6,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,17.86,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,3.95,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,7.47,agriculture,859509,2020 -Caatinga,BAHIA,barra,5.61,agriculture,139778,2020 -Cerrado,BAHIA,santa rita de cássia,19.38,agriculture,859509,2020 -Mata Atlântica,BAHIA,ibirapitanga,0.98,agriculture,72436,2021 -Cerrado,BAHIA,formosa do rio preto,44.35,agriculture,2299737,2021 -Cerrado,BAHIA,luís eduardo magalhães,18.81,agriculture,654262,2021 -Mata Atlântica,BAHIA,valença,7.69,agriculture,195332,2021 -Mata Atlântica,BAHIA,belmonte,25.07,agriculture,331485,2021 -Cerrado,BAHIA,barreiras,8.64,agriculture,958306,2021 -Cerrado,BAHIA,riachão das neves,3.08,agriculture,761963,2021 -Cerrado,BAHIA,riachão das neves,1.7,agriculture,761963,2021 -Cerrado,BAHIA,baianópolis,17.18,agriculture,1700892,2021 -Cerrado,BAHIA,formosa do rio preto,1954.57,agriculture,2299737,2021 -Cerrado,BAHIA,riachão das neves,30.84,agriculture,761963,2021 -Caatinga,BAHIA,cotegipe,23.34,agriculture,292547,2021 -Caatinga,BAHIA,santa rita de cássia,25.45,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,7.53,agriculture,292547,2021 -Mata Atlântica,BAHIA,belmonte,8.47,agriculture,331485,2021 -Cerrado,BAHIA,formosa do rio preto,3.2,agriculture,3073766,2020 -Cerrado,BAHIA,correntina,6.19,agriculture,1060525,2020 -Caatinga,BAHIA,cotegipe,4.31,agriculture,559960,2020 -Caatinga,BAHIA,cotegipe,8.28,agriculture,559960,2020 -Caatinga,BAHIA,barra,1.55,others,139778,2020 -Caatinga,BAHIA,barra,0.82,others,139778,2020 -Caatinga,BAHIA,santa rita de cássia,3.6,agriculture,859509,2020 -Cerrado,BAHIA,correntina,4.85,agriculture,1060525,2020 -Cerrado,BAHIA,são desidério,1.71,agriculture,3091203,2020 -Cerrado,BAHIA,baianópolis,1.84,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,2.9,others,859509,2020 -Caatinga,BAHIA,santa rita de cássia,4.25,others,859509,2020 -Cerrado,BAHIA,formosa do rio preto,26.18,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,9.29,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,6.52,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,4.45,urban_expansion,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,23.5,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,1.17,agriculture,859509,2020 -Cerrado,BAHIA,correntina,3.41,agriculture,1585476,2021 -Cerrado,BAHIA,barreiras,19.66,agriculture,958306,2021 -Mata Atlântica,BAHIA,camamu,5.56,agriculture,163548,2021 -Mata Atlântica,BAHIA,jequié,17.1,agriculture,163926,2021 -Mata Atlântica,BAHIA,belmonte,6.42,agriculture,331485,2021 -Mata Atlântica,BAHIA,encruzilhada,7.38,agriculture,587315,2021 -Mata Atlântica,BAHIA,ilhéus,2.04,agriculture,131715,2021 -Caatinga,BAHIA,santa rita de cássia,4.06,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,1.58,others,998700,2021 -Caatinga,BAHIA,cotegipe,2.55,agriculture,292547,2021 -Caatinga,BAHIA,barra,2.88,others,79058,2021 -Cerrado,BAHIA,santa rita de cássia,64.58,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,5.2,others,998700,2021 -Cerrado,BAHIA,cotegipe,135.74,agriculture,292547,2021 -Cerrado,BAHIA,barreiras,131.65,agriculture,958306,2021 -Cerrado,BAHIA,correntina,0.5,agriculture,1585476,2021 -Mata Atlântica,BAHIA,belmonte,5.82,agriculture,354868,2022 -Cerrado,BAHIA,são desidério,98.59,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,668.75,agriculture,2729422,2022 -Cerrado,BAHIA,luís eduardo magalhães,271.54,agriculture,343098,2022 -Cerrado,BAHIA,luís eduardo magalhães,66.94,agriculture,343098,2022 -Cerrado,BAHIA,jaborandi,31.11,agriculture,1734316,2022 -Cerrado,BAHIA,são desidério,125.1,agriculture,2729422,2022 -Mata Atlântica,BAHIA,guaratinga,1.54,agriculture,243882,2022 -Cerrado,BAHIA,cocos,1633.16,agriculture,367625,2022 -Cerrado,BAHIA,são desidério,1227.28,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,334.87,agriculture,2729422,2022 -Mata Atlântica,BAHIA,camamu,0.33,agriculture,232571,2022 -Mata Atlântica,BAHIA,valença,0.37,agriculture,378871,2022 -Cerrado,BAHIA,correntina,1.9,agriculture,1473135,2022 -Cerrado,BAHIA,barreiras,4.59,agriculture,996163,2022 -Cerrado,BAHIA,santa rita de cássia,8.84,agriculture,569631,2022 -Cerrado,BAHIA,são desidério,776.06,agriculture,2729422,2022 -Caatinga,BAHIA,jaborandi,7.14,others,1734316,2022 -Mata Atlântica,BAHIA,jequié,4.06,agriculture,498001,2022 -Cerrado,BAHIA,são desidério,75.13,agriculture,2729422,2022 -Cerrado,BAHIA,correntina,101.68,agriculture,1473135,2022 -Cerrado,BAHIA,cocos,52.68,agriculture,367625,2022 -Cerrado,BAHIA,cotegipe,140.25,agriculture,297663,2022 -Mata Atlântica,BAHIA,belmonte,1.11,agriculture,390403,2019 -Cerrado,BAHIA,formosa do rio preto,281.23,agriculture,4220327,2019 -Cerrado,BAHIA,santa rita de cássia,5.93,agriculture,694797,2019 -Caatinga,BAHIA,santa rita de cássia,12.42,agriculture,694797,2019 -Cerrado,BAHIA,santa rita de cássia,78.26,agriculture,694797,2019 -Cerrado,BAHIA,luís eduardo magalhães,15.7,urban_expansion,800435,2019 -Cerrado,BAHIA,cocos,1345.06,agriculture,959394,2019 -Caatinga,BAHIA,cocos,19.12,agriculture,959394,2019 -Cerrado,BAHIA,barreiras,1.06,agriculture,1568927,2019 -Cerrado,BAHIA,baianópolis,28.82,agriculture,607436,2019 -Cerrado,BAHIA,são desidério,3.83,agriculture,2024107,2019 -Cerrado,BAHIA,baianópolis,12.28,agriculture,607436,2019 -Cerrado,BAHIA,formosa do rio preto,1.57,agriculture,4220327,2019 -Cerrado,BAHIA,cocos,7.27,agriculture,1218387,2020 -Cerrado,BAHIA,riachão das neves,19.59,agriculture,1085054,2020 -Caatinga,BAHIA,barra,9.27,agriculture,139778,2020 -Cerrado,BAHIA,são desidério,97.17,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,10.88,agriculture,3091203,2020 -Mata Atlântica,BAHIA,nilo peçanha,1.55,agriculture,154625,2020 -Mata Atlântica,BAHIA,valença,1.76,agriculture,427637,2020 -Mata Atlântica,BAHIA,itapetinga,42.58,agriculture,46135,2020 -Mata Atlântica,BAHIA,dário meira,0.59,agriculture,92504,2020 -Cerrado,BAHIA,baianópolis,104.38,agriculture,790814,2020 -Mata Atlântica,BAHIA,encruzilhada,32.61,agriculture,451620,2020 -Caatinga,BAHIA,santa rita de cássia,8.73,agriculture,859509,2020 -Cerrado,BAHIA,cotegipe,313.13,agriculture,559960,2020 -Cerrado,BAHIA,formosa do rio preto,219.14,agriculture,3073766,2020 -Mata Atlântica,BAHIA,itambé,23.34,agriculture,144429,2020 -Caatinga,BAHIA,cocos,16.97,agriculture,1218387,2020 -Cerrado,BAHIA,jaborandi,22.86,agriculture,1744004,2020 -Cerrado,BAHIA,são desidério,4.59,agriculture,3091203,2020 -Cerrado,BAHIA,formosa do rio preto,295.66,agriculture,3073766,2020 -Cerrado,BAHIA,riachão das neves,104.5,agriculture,1085054,2020 -Mata Atlântica,BAHIA,guaratinga,0.95,agriculture,251656,2020 -Caatinga,BAHIA,cotegipe,11.86,agriculture,559960,2020 -Cerrado,BAHIA,formosa do rio preto,150.41,agriculture,3073766,2020 -Caatinga,BAHIA,santa rita de cássia,5.55,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,14.84,agriculture,790814,2020 -Cerrado,BAHIA,santa rita de cássia,1.14,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,3.56,agriculture,559960,2020 -Mata Atlântica,BAHIA,itagibá,0.87,agriculture,111453,2021 -Cerrado,BAHIA,cocos,9.71,agriculture,1229644,2021 -Mata Atlântica,BAHIA,camamu,6.75,agriculture,163548,2021 -Caatinga,BAHIA,barra,1.49,agriculture,79058,2021 -Caatinga,BAHIA,santa rita de cássia,0.54,agriculture,998700,2021 -Cerrado,BAHIA,cotegipe,1.51,agriculture,292547,2021 -Cerrado,BAHIA,jaborandi,34.85,agriculture,2051920,2021 -Caatinga,BAHIA,correntina,21.08,agriculture,1585476,2021 -Cerrado,BAHIA,formosa do rio preto,38.95,agriculture,2299737,2021 -Cerrado,BAHIA,barreiras,3.87,agriculture,958306,2021 -Cerrado,BAHIA,são desidério,837.18,agriculture,3159579,2021 -Mata Atlântica,BAHIA,guaratinga,6.28,agriculture,171742,2021 -Cerrado,BAHIA,formosa do rio preto,58.17,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,6.29,agriculture,2299737,2021 -Cerrado,BAHIA,riachão das neves,11.75,agriculture,761963,2021 -Caatinga,BAHIA,barra,61.82,agriculture,79058,2021 -Caatinga,BAHIA,cotegipe,111.71,agriculture,292547,2021 -Cerrado,BAHIA,riachão das neves,214.23,agriculture,761963,2021 -Cerrado,BAHIA,cocos,39.26,agriculture,1229644,2021 -Caatinga,BAHIA,santa rita de cássia,5.41,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,16.82,agriculture,998700,2021 -Cerrado,BAHIA,são desidério,3.35,agriculture,3091203,2020 -Caatinga,BAHIA,barra,1.52,others,139778,2020 -Caatinga,BAHIA,barra,6.77,others,139778,2020 -Caatinga,BAHIA,barra,0.72,agriculture,139778,2020 -Caatinga,BAHIA,barra,0.63,others,139778,2020 -Caatinga,BAHIA,santa rita de cássia,1.7,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,1.52,others,859509,2020 -Caatinga,BAHIA,cotegipe,1.54,others,559960,2020 -Caatinga,BAHIA,cotegipe,10.88,agriculture,559960,2020 -Caatinga,BAHIA,jaborandi,1.06,agriculture,1744004,2020 -Cerrado,BAHIA,correntina,0.91,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,3.65,agriculture,790814,2020 -Cerrado,BAHIA,são desidério,2.57,agriculture,3091203,2020 -Cerrado,BAHIA,jaborandi,4.36,agriculture,1744004,2020 -Cerrado,BAHIA,são desidério,5.48,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,21.31,agriculture,3091203,2020 -Cerrado,BAHIA,baianópolis,5.49,agriculture,790814,2020 -Cerrado,BAHIA,formosa do rio preto,1.93,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,6.99,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,4.6,others,859509,2020 -Cerrado,BAHIA,santa rita de cássia,3.73,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,9.26,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,16.0,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,10.9,agriculture,859509,2020 -Cerrado,BAHIA,cocos,13.25,agriculture,1218387,2020 -Cerrado,BAHIA,cocos,4.73,agriculture,1218387,2020 -Cerrado,BAHIA,jaborandi,19.31,agriculture,1744004,2020 -Cerrado,BAHIA,santa rita de cássia,7.33,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,1.79,agriculture,292547,2021 -Mata Atlântica,BAHIA,encruzilhada,1.6,agriculture,587315,2021 -Mata Atlântica,BAHIA,encruzilhada,50.91,agriculture,587315,2021 -Mata Atlântica,BAHIA,encruzilhada,6.95,agriculture,587315,2021 -Mata Atlântica,BAHIA,itambé,12.27,agriculture,65263,2021 -Mata Atlântica,BAHIA,ibirapitanga,0.94,agriculture,72436,2021 -Cerrado,BAHIA,formosa do rio preto,709.13,agriculture,2299737,2021 -Caatinga,BAHIA,jequié,3.89,agriculture,163926,2021 -Caatinga,BAHIA,santa rita de cássia,1.52,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,13.58,agriculture,292547,2021 -Caatinga,BAHIA,barra,17.53,agriculture,79058,2021 -Cerrado,BAHIA,santa rita de cássia,187.67,agriculture,998700,2021 -Cerrado,BAHIA,cocos,7.75,agriculture,1229644,2021 -Cerrado,BAHIA,correntina,3.86,agriculture,1585476,2021 -Cerrado,BAHIA,correntina,108.44,agriculture,1585476,2021 -Mata Atlântica,BAHIA,encruzilhada,0.73,agriculture,414662,2022 -Mata Atlântica,BAHIA,itarantim,66.53,agriculture,203154,2022 -Cerrado,BAHIA,formosa do rio preto,30.59,agriculture,2432263,2022 -Cerrado,BAHIA,luís eduardo magalhães,272.03,agriculture,343098,2022 -Cerrado,BAHIA,formosa do rio preto,193.5,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,17.4,agriculture,569631,2022 -Caatinga,BAHIA,cotegipe,295.91,agriculture,297663,2022 -Cerrado,BAHIA,riachão das neves,7.44,agriculture,670183,2022 -Mata Atlântica,BAHIA,ilhéus,0.46,agriculture,209209,2022 -Mata Atlântica,BAHIA,camamu,0.35,agriculture,232571,2022 -Caatinga,BAHIA,correntina,27.17,agriculture,1473135,2022 -Cerrado,BAHIA,baianópolis,5.63,agriculture,413632,2022 -Cerrado,BAHIA,jaborandi,6.55,agriculture,1734316,2022 -Cerrado,BAHIA,riachão das neves,13.62,agriculture,670183,2022 -Caatinga,BAHIA,jaborandi,54.65,agriculture,1734316,2022 -Cerrado,BAHIA,riachão das neves,14.77,agriculture,670183,2022 -Cerrado,BAHIA,jaborandi,3067.87,agriculture,1734316,2022 -Caatinga,BAHIA,barra,0.68,others,312169,2022 -Caatinga,BAHIA,barra,0.96,others,312169,2022 -Cerrado,BAHIA,santa rita de cássia,208.16,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,47.41,agriculture,569631,2022 -Cerrado,BAHIA,jaborandi,17.75,agriculture,1734316,2022 -Cerrado,BAHIA,barreiras,201.27,agriculture,996163,2022 -Cerrado,BAHIA,santa rita de cássia,9.99,agriculture,694797,2019 -Cerrado,BAHIA,santa rita de cássia,3.58,agriculture,694797,2019 -Cerrado,BAHIA,jaborandi,12.08,agriculture,1706967,2019 -Mata Atlântica,BAHIA,ibirapitanga,6.17,agriculture,86205,2019 -Cerrado,BAHIA,riachão das neves,22.72,agriculture,580173,2019 -Caatinga,BAHIA,santa rita de cássia,42.27,agriculture,694797,2019 -Cerrado,BAHIA,baianópolis,5.19,agriculture,607436,2019 -Cerrado,BAHIA,luís eduardo magalhães,292.14,agriculture,800435,2019 -Cerrado,BAHIA,correntina,382.77,agriculture,1545572,2019 -Cerrado,BAHIA,correntina,353.03,agriculture,1545572,2019 -Mata Atlântica,BAHIA,ilhéus,4.67,agriculture,158872,2019 -Caatinga,BAHIA,santa rita de cássia,16.06,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,130.61,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,7.6,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,3.67,agriculture,3091203,2020 -Cerrado,BAHIA,luís eduardo magalhães,79.08,agriculture,1523413,2020 -Cerrado,BAHIA,correntina,2.74,agriculture,1060525,2020 -Mata Atlântica,BAHIA,valença,1.9,agriculture,427637,2020 -Mata Atlântica,BAHIA,camamu,1.99,agriculture,434741,2020 -Mata Atlântica,BAHIA,belmonte,18.9,agriculture,350558,2020 -Mata Atlântica,BAHIA,encruzilhada,56.01,agriculture,451620,2020 -Caatinga,BAHIA,santa rita de cássia,46.02,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,14.26,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,8.86,agriculture,790814,2020 -Mata Atlântica,BAHIA,itapetinga,4.19,agriculture,46135,2020 -Cerrado,BAHIA,cotegipe,538.74,agriculture,559960,2020 -Cerrado,BAHIA,riachão das neves,713.14,agriculture,1085054,2020 -Cerrado,BAHIA,baianópolis,13.63,agriculture,790814,2020 -Cerrado,BAHIA,jaborandi,50.81,agriculture,1744004,2020 -Cerrado,BAHIA,jaborandi,34.11,agriculture,1744004,2020 -Cerrado,BAHIA,são desidério,12.95,agriculture,3091203,2020 -Caatinga,BAHIA,jequié,2.59,agriculture,186265,2020 -Cerrado,BAHIA,são desidério,8.4,agriculture,3091203,2020 -Cerrado,BAHIA,riachão das neves,19.91,agriculture,1085054,2020 -Cerrado,BAHIA,jaborandi,12.39,agriculture,1744004,2020 -Caatinga,BAHIA,cocos,3.29,agriculture,1218387,2020 -Cerrado,BAHIA,são desidério,2.01,agriculture,3091203,2020 -Mata Atlântica,BAHIA,ilhéus,3.85,agriculture,191205,2020 -Mata Atlântica,BAHIA,camamu,4.37,agriculture,434741,2020 -Caatinga,BAHIA,cocos,22.27,agriculture,1218387,2020 -Mata Atlântica,BAHIA,valença,2.35,agriculture,427637,2020 -Cerrado,BAHIA,baianópolis,5.01,agriculture,790814,2020 -Cerrado,BAHIA,correntina,60.95,agriculture,1060525,2020 -Mata Atlântica,BAHIA,guaratinga,12.77,agriculture,251656,2020 -Mata Atlântica,BAHIA,itagibá,10.81,agriculture,72102,2020 -Cerrado,BAHIA,cotegipe,1.69,agriculture,559960,2020 -Caatinga,BAHIA,santa rita de cássia,2.64,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,4.9,agriculture,998700,2021 -Cerrado,BAHIA,cocos,2.97,agriculture,1229644,2021 -Caatinga,BAHIA,barra,1.64,agriculture,79058,2021 -Caatinga,BAHIA,santa rita de cássia,1.97,agriculture,998700,2021 -Cerrado,BAHIA,riachão das neves,14.95,agriculture,761963,2021 -Caatinga,BAHIA,jaborandi,9.96,agriculture,2051920,2021 -Cerrado,BAHIA,baianópolis,12.49,agriculture,1700892,2021 -Cerrado,BAHIA,riachão das neves,29.72,agriculture,761963,2021 -Caatinga,BAHIA,santa rita de cássia,51.66,agriculture,998700,2021 -Cerrado,BAHIA,cocos,389.01,agriculture,1229644,2021 -Mata Atlântica,BAHIA,camamu,2.29,agriculture,163548,2021 -Caatinga,BAHIA,santa rita de cássia,14.55,agriculture,998700,2021 -Cerrado,BAHIA,barreiras,6.16,agriculture,958306,2021 -Caatinga,BAHIA,cotegipe,11.92,agriculture,292547,2021 -Cerrado,BAHIA,santa rita de cássia,4.83,others,998700,2021 -Caatinga,BAHIA,santa rita de cássia,9.06,agriculture,998700,2021 -Cerrado,BAHIA,jaborandi,22.14,agriculture,2051920,2021 -Cerrado,BAHIA,luís eduardo magalhães,35.75,agriculture,654262,2021 -Cerrado,BAHIA,formosa do rio preto,272.6,agriculture,2299737,2021 -Caatinga,BAHIA,santa rita de cássia,2.19,urban_expansion,998700,2021 -Caatinga,BAHIA,santa rita de cássia,2.16,agriculture,859509,2020 -Cerrado,BAHIA,luís eduardo magalhães,1.92,urban_expansion,1523413,2020 -Cerrado,BAHIA,são desidério,0.85,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,4.33,agriculture,3091203,2020 -Caatinga,BAHIA,santa rita de cássia,0.57,others,859509,2020 -Caatinga,BAHIA,barra,1.6,agriculture,139778,2020 -Caatinga,BAHIA,barra,1.14,others,139778,2020 -Caatinga,BAHIA,santa rita de cássia,2.74,others,859509,2020 -Caatinga,BAHIA,santa rita de cássia,5.24,others,859509,2020 -Caatinga,BAHIA,barra,1.62,others,139778,2020 -Caatinga,BAHIA,cotegipe,2.08,others,559960,2020 -Cerrado,BAHIA,santa rita de cássia,2.16,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,13.44,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,2.15,agriculture,3091203,2020 -Cerrado,BAHIA,baianópolis,12.43,agriculture,790814,2020 -Cerrado,BAHIA,formosa do rio preto,2.73,agriculture,3073766,2020 -Cerrado,BAHIA,jaborandi,2.11,agriculture,1744004,2020 -Cerrado,BAHIA,santa rita de cássia,9.69,agriculture,859509,2020 -Cerrado,BAHIA,cocos,5.76,agriculture,1218387,2020 -Cerrado,BAHIA,jaborandi,2.9,agriculture,1744004,2020 -Caatinga,BAHIA,santa rita de cássia,0.4,agriculture,859509,2020 -Caatinga,BAHIA,barra,60.82,agriculture,79058,2021 -Cerrado,BAHIA,correntina,5.7,agriculture,1585476,2021 -Mata Atlântica,BAHIA,ilhéus,1.54,agriculture,131715,2021 -Mata Atlântica,BAHIA,ilhéus,11.84,agriculture,131715,2021 -Caatinga,BAHIA,santa rita de cássia,5.15,others,998700,2021 -Cerrado,BAHIA,são desidério,52.0,agriculture,3159579,2021 -Caatinga,BAHIA,cotegipe,4.71,agriculture,292547,2021 -Caatinga,BAHIA,santa rita de cássia,20.81,others,998700,2021 -Cerrado,BAHIA,formosa do rio preto,324.81,agriculture,2299737,2021 -Caatinga,BAHIA,santa rita de cássia,4.22,agriculture,998700,2021 -Caatinga,BAHIA,barra,4.66,agriculture,79058,2021 -Caatinga,BAHIA,barra,1.63,others,79058,2021 -Cerrado,BAHIA,barreiras,15.65,agriculture,958306,2021 -Cerrado,BAHIA,luís eduardo magalhães,349.29,agriculture,654262,2021 -Cerrado,BAHIA,baianópolis,40.28,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,7.61,agriculture,1700892,2021 -Mata Atlântica,BAHIA,valença,3.38,agriculture,195332,2021 -Cerrado,BAHIA,formosa do rio preto,52.47,agriculture,2299737,2021 -Mata Atlântica,BAHIA,iguaí,8.15,agriculture,277970,2022 -Cerrado,BAHIA,baianópolis,883.36,agriculture,413632,2022 -Cerrado,BAHIA,são desidério,155.56,agriculture,2729422,2022 -Cerrado,BAHIA,baianópolis,576.65,agriculture,413632,2022 -Cerrado,BAHIA,são desidério,73.15,agriculture,2729422,2022 -Cerrado,BAHIA,santa rita de cássia,10.08,agriculture,569631,2022 -Cerrado,BAHIA,riachão das neves,14.49,urban_expansion,670183,2022 -Cerrado,BAHIA,são desidério,1325.6,agriculture,2729422,2022 -Cerrado,BAHIA,formosa do rio preto,29.15,urban_expansion,2432263,2022 -Caatinga,BAHIA,barra,0.33,others,312169,2022 -Caatinga,BAHIA,cocos,6.27,others,367625,2022 -Mata Atlântica,BAHIA,valença,1.62,urban_expansion,378871,2022 -Mata Atlântica,BAHIA,valença,0.78,agriculture,378871,2022 -Cerrado,BAHIA,luís eduardo magalhães,92.17,agriculture,343098,2022 -Mata Atlântica,BAHIA,ilhéus,2.49,agriculture,158872,2019 -Cerrado,BAHIA,barreiras,37.88,agriculture,1568927,2019 -Cerrado,BAHIA,formosa do rio preto,0.31,agriculture,4220327,2019 -Cerrado,BAHIA,riachão das neves,14.78,agriculture,580173,2019 -Caatinga,BAHIA,barra,4.3,agriculture,226011,2019 -Cerrado,BAHIA,santa rita de cássia,9.63,agriculture,694797,2019 -Cerrado,BAHIA,formosa do rio preto,990.47,agriculture,4220327,2019 -Caatinga,BAHIA,santa rita de cássia,72.51,agriculture,694797,2019 -Cerrado,BAHIA,riachão das neves,25.44,agriculture,580173,2019 -Cerrado,BAHIA,barreiras,47.06,agriculture,1568927,2019 -Cerrado,BAHIA,são desidério,4.68,agriculture,2024107,2019 -Cerrado,BAHIA,barreiras,10.65,agriculture,1568927,2019 -Cerrado,BAHIA,são desidério,96.54,agriculture,2024107,2019 -Cerrado,BAHIA,luís eduardo magalhães,233.57,agriculture,800435,2019 -Mata Atlântica,BAHIA,encruzilhada,15.23,agriculture,403895,2019 -Mata Atlântica,BAHIA,igrapiúna,29.96,agriculture,257694,2019 -Mata Atlântica,BAHIA,belmonte,3.54,agriculture,390403,2019 -Mata Atlântica,BAHIA,dário meira,1.3,agriculture,94401,2019 -Cerrado,BAHIA,são desidério,23.04,agriculture,3091203,2020 -Caatinga,BAHIA,santa rita de cássia,9.46,agriculture,859509,2020 -Cerrado,BAHIA,correntina,40.77,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,6.14,agriculture,790814,2020 -Mata Atlântica,BAHIA,ilhéus,3.3,agriculture,191205,2020 -Mata Atlântica,BAHIA,iguaí,1.88,agriculture,127471,2020 -Mata Atlântica,BAHIA,encruzilhada,27.83,agriculture,451620,2020 -Caatinga,BAHIA,santa rita de cássia,5.48,agriculture,859509,2020 -Cerrado,BAHIA,cocos,37.57,agriculture,1218387,2020 -Cerrado,BAHIA,luís eduardo magalhães,9.2,agriculture,1523413,2020 -Cerrado,BAHIA,são desidério,333.56,agriculture,3091203,2020 -Cerrado,BAHIA,barreiras,44.23,agriculture,1179766,2020 -Caatinga,BAHIA,cotegipe,5.8,agriculture,559960,2020 -Caatinga,BAHIA,cocos,8.98,agriculture,1218387,2020 -Cerrado,BAHIA,barreiras,227.45,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,92.22,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,16.85,agriculture,790814,2020 -Caatinga,BAHIA,cocos,20.59,agriculture,1218387,2020 -Caatinga,BAHIA,santa rita de cássia,3.31,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,27.71,agriculture,3073766,2020 -Caatinga,BAHIA,santa rita de cássia,21.12,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,177.81,agriculture,3073766,2020 -Mata Atlântica,BAHIA,maraú,2.96,agriculture,170126,2020 -Cerrado,BAHIA,são desidério,248.69,agriculture,3159579,2021 -Cerrado,BAHIA,barreiras,41.55,agriculture,958306,2021 -Mata Atlântica,BAHIA,camamu,3.11,agriculture,163548,2021 -Mata Atlântica,BAHIA,guaratinga,12.81,agriculture,171742,2021 -Caatinga,BAHIA,santa rita de cássia,1.18,agriculture,998700,2021 -Cerrado,BAHIA,santa rita de cássia,1.05,agriculture,998700,2021 -Cerrado,BAHIA,barreiras,28.28,agriculture,958306,2021 -Cerrado,BAHIA,formosa do rio preto,19.27,agriculture,2299737,2021 -Cerrado,BAHIA,santa rita de cássia,8.18,agriculture,998700,2021 -Cerrado,BAHIA,jaborandi,9.08,agriculture,2051920,2021 -Cerrado,BAHIA,barreiras,100.23,agriculture,958306,2021 -Cerrado,BAHIA,riachão das neves,18.02,agriculture,761963,2021 -Cerrado,BAHIA,baianópolis,4.76,agriculture,1700892,2021 -Caatinga,BAHIA,cotegipe,6.17,agriculture,292547,2021 -Cerrado,BAHIA,são desidério,10.0,agriculture,3159579,2021 -Cerrado,BAHIA,cocos,150.17,agriculture,1229644,2021 -Caatinga,BAHIA,cotegipe,1.92,others,559960,2020 -Cerrado,BAHIA,são desidério,2.91,agriculture,3091203,2020 -Caatinga,BAHIA,barra,5.3,others,139778,2020 -Caatinga,BAHIA,barra,3.36,agriculture,139778,2020 -Cerrado,BAHIA,cotegipe,2.15,agriculture,559960,2020 -Caatinga,BAHIA,barra,1.2,others,139778,2020 -Caatinga,BAHIA,cotegipe,1.04,agriculture,559960,2020 -Caatinga,BAHIA,cotegipe,5.74,agriculture,559960,2020 -Cerrado,BAHIA,são desidério,4.03,agriculture,3091203,2020 -Cerrado,BAHIA,correntina,1.56,agriculture,1060525,2020 -Cerrado,BAHIA,santa rita de cássia,16.2,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,2.67,others,859509,2020 -Cerrado,BAHIA,santa rita de cássia,1.66,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,6.03,agriculture,1085054,2020 -Cerrado,BAHIA,formosa do rio preto,871.51,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,8.37,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,12.06,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,5.11,agriculture,859509,2020 -Caatinga,BAHIA,cocos,17.16,others,1218387,2020 -Cerrado,BAHIA,cocos,8.94,agriculture,1218387,2020 -Cerrado,BAHIA,baianópolis,2.17,agriculture,790814,2020 -Cerrado,BAHIA,riachão das neves,17.63,agriculture,761963,2021 -Mata Atlântica,BAHIA,itagibá,19.88,mining,111453,2021 -Caatinga,BAHIA,jaborandi,5.45,agriculture,2051920,2021 -Mata Atlântica,BAHIA,ilhéus,0.65,agriculture,131715,2021 -Mata Atlântica,BAHIA,ilhéus,2.17,agriculture,131715,2021 -Mata Atlântica,BAHIA,encruzilhada,2.52,agriculture,587315,2021 -Mata Atlântica,BAHIA,encruzilhada,3.7,agriculture,587315,2021 -Caatinga,BAHIA,santa rita de cássia,11.78,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,9.4,agriculture,998700,2021 -Cerrado,BAHIA,santa rita de cássia,4.86,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,1.41,agriculture,998700,2021 -Caatinga,BAHIA,barra,1.02,others,79058,2021 -Cerrado,BAHIA,baianópolis,110.54,agriculture,1700892,2021 -Mata Atlântica,BAHIA,iguaí,2.03,agriculture,277970,2022 -Cerrado,BAHIA,santa rita de cássia,29.9,agriculture,569631,2022 -Cerrado,BAHIA,formosa do rio preto,76.22,agriculture,2432263,2022 -Cerrado,BAHIA,luís eduardo magalhães,232.76,agriculture,343098,2022 -Mata Atlântica,BAHIA,jequié,7.64,agriculture,498001,2022 -Cerrado,BAHIA,correntina,1544.58,agriculture,1473135,2022 -Cerrado,BAHIA,riachão das neves,21.92,agriculture,670183,2022 -Cerrado,BAHIA,riachão das neves,778.99,agriculture,670183,2022 -Cerrado,BAHIA,riachão das neves,33.16,agriculture,670183,2022 -Caatinga,BAHIA,barra,5.0,agriculture,312169,2022 -Caatinga,BAHIA,barra,7.09,others,312169,2022 -Caatinga,BAHIA,cotegipe,54.03,others,297663,2022 -Caatinga,BAHIA,jaborandi,7.52,others,1734316,2022 -Caatinga,BAHIA,cotegipe,36.49,others,297663,2022 -Cerrado,BAHIA,são desidério,200.91,agriculture,2729422,2022 -Mata Atlântica,BAHIA,maraú,0.8,agriculture,275953,2022 -Mata Atlântica,BAHIA,maraú,5.57,agriculture,275953,2022 -Cerrado,BAHIA,santa rita de cássia,4.67,agriculture,569631,2022 -Cerrado,BAHIA,jaborandi,123.3,agriculture,1706967,2019 -Cerrado,BAHIA,luís eduardo magalhães,5.39,agriculture,800435,2019 -Cerrado,BAHIA,cocos,42.01,agriculture,959394,2019 -Cerrado,BAHIA,riachão das neves,30.74,agriculture,580173,2019 -Cerrado,BAHIA,jaborandi,229.64,agriculture,1706967,2019 -Cerrado,BAHIA,baianópolis,0.31,agriculture,607436,2019 -Cerrado,BAHIA,são desidério,34.17,agriculture,2024107,2019 -Cerrado,BAHIA,são desidério,35.54,agriculture,2024107,2019 -Cerrado,BAHIA,correntina,117.59,agriculture,1545572,2019 -Cerrado,BAHIA,riachão das neves,20.29,agriculture,580173,2019 -Cerrado,BAHIA,jaborandi,405.08,agriculture,1706967,2019 -Mata Atlântica,BAHIA,camamu,0.93,agriculture,221471,2019 -Mata Atlântica,BAHIA,encruzilhada,19.57,agriculture,403895,2019 -Mata Atlântica,BAHIA,dário meira,14.97,agriculture,94401,2019 -Cerrado,BAHIA,são desidério,6.87,agriculture,3091203,2020 -Cerrado,BAHIA,santa rita de cássia,35.52,agriculture,859509,2020 -Cerrado,BAHIA,cotegipe,93.42,agriculture,559960,2020 -Cerrado,BAHIA,santa rita de cássia,124.54,agriculture,859509,2020 -Cerrado,BAHIA,correntina,1.66,agriculture,1060525,2020 -Mata Atlântica,BAHIA,camamu,17.34,agriculture,434741,2020 -Cerrado,BAHIA,correntina,66.15,agriculture,1060525,2020 -Cerrado,BAHIA,santa rita de cássia,18.73,agriculture,859509,2020 -Caatinga,BAHIA,jaborandi,34.93,agriculture,1744004,2020 -Cerrado,BAHIA,correntina,8.67,agriculture,1060525,2020 -Cerrado,BAHIA,formosa do rio preto,72.96,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,18.78,agriculture,3073766,2020 -Mata Atlântica,BAHIA,encruzilhada,2.02,agriculture,451620,2020 -Cerrado,BAHIA,baianópolis,42.4,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,4.96,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,7.01,agriculture,3091203,2020 -Cerrado,BAHIA,baianópolis,6.89,agriculture,790814,2020 -Cerrado,BAHIA,correntina,3.57,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,11.13,agriculture,790814,2020 -Caatinga,BAHIA,cocos,19.92,agriculture,1218387,2020 -Cerrado,BAHIA,correntina,117.51,agriculture,1060525,2020 -Caatinga,BAHIA,santa rita de cássia,2.72,agriculture,859509,2020 -Mata Atlântica,BAHIA,iguaí,24.66,agriculture,127471,2020 -Cerrado,BAHIA,baianópolis,3.91,agriculture,790814,2020 -Cerrado,BAHIA,riachão das neves,163.15,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,29.42,agriculture,859509,2020 -Caatinga,BAHIA,barra,6.95,agriculture,139778,2020 -Caatinga,BAHIA,cotegipe,5.1,agriculture,559960,2020 -Mata Atlântica,BAHIA,ilhéus,2.03,agriculture,191205,2020 -Cerrado,BAHIA,formosa do rio preto,306.83,agriculture,2299737,2021 -Mata Atlântica,BAHIA,valença,6.85,agriculture,195332,2021 -Caatinga,BAHIA,santa rita de cássia,6.97,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,52.6,agriculture,998700,2021 -Cerrado,BAHIA,riachão das neves,38.32,agriculture,761963,2021 -Mata Atlântica,BAHIA,camamu,1.76,agriculture,163548,2021 -Cerrado,BAHIA,formosa do rio preto,317.17,agriculture,2299737,2021 -Mata Atlântica,BAHIA,itagibá,29.27,agriculture,111453,2021 -Cerrado,BAHIA,barreiras,8.2,agriculture,958306,2021 -Cerrado,BAHIA,santa rita de cássia,40.59,agriculture,998700,2021 -Cerrado,BAHIA,são desidério,5.54,agriculture,3159579,2021 -Mata Atlântica,BAHIA,ilhéus,6.52,agriculture,131715,2021 -Cerrado,BAHIA,correntina,3.62,agriculture,1060525,2020 -Cerrado,BAHIA,são desidério,72.15,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,2.14,agriculture,3091203,2020 -Cerrado,BAHIA,riachão das neves,14.35,agriculture,1085054,2020 -Caatinga,BAHIA,cotegipe,14.0,others,559960,2020 -Caatinga,BAHIA,barra,1.13,others,139778,2020 -Cerrado,BAHIA,santa rita de cássia,5.83,agriculture,859509,2020 -Caatinga,BAHIA,barra,6.03,others,139778,2020 -Caatinga,BAHIA,barra,9.27,others,139778,2020 -Caatinga,BAHIA,barra,0.88,agriculture,139778,2020 -Cerrado,BAHIA,santa rita de cássia,5.08,agriculture,859509,2020 -Caatinga,BAHIA,barra,1.73,others,139778,2020 -Caatinga,BAHIA,cotegipe,0.55,agriculture,559960,2020 -Cerrado,BAHIA,cotegipe,15.96,agriculture,559960,2020 -Cerrado,BAHIA,cotegipe,7.86,agriculture,559960,2020 -Caatinga,BAHIA,santa rita de cássia,15.82,others,859509,2020 -Cerrado,BAHIA,baianópolis,1.38,agriculture,790814,2020 -Cerrado,BAHIA,correntina,3.03,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,3.59,agriculture,790814,2020 -Cerrado,BAHIA,santa rita de cássia,1.91,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,6.02,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,3.09,agriculture,1085054,2020 -Cerrado,BAHIA,formosa do rio preto,13.45,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,0.89,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,4.06,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,0.71,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,1.8,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,3.44,others,859509,2020 -Caatinga,BAHIA,santa rita de cássia,3.25,others,859509,2020 -Caatinga,BAHIA,cocos,1.76,others,1218387,2020 -Cerrado,BAHIA,cocos,18.52,agriculture,1218387,2020 -Cerrado,BAHIA,barreiras,712.86,agriculture,958306,2021 -Cerrado,BAHIA,riachão das neves,928.16,agriculture,761963,2021 -Cerrado,BAHIA,são desidério,460.72,agriculture,3159579,2021 -Cerrado,BAHIA,barreiras,229.72,agriculture,958306,2021 -Cerrado,BAHIA,riachão das neves,7.55,agriculture,761963,2021 -Caatinga,BAHIA,cotegipe,2.5,agriculture,292547,2021 -Cerrado,BAHIA,luís eduardo magalhães,11.83,agriculture,654262,2021 -Cerrado,BAHIA,barreiras,4.89,agriculture,958306,2021 -Cerrado,BAHIA,santa rita de cássia,23.78,agriculture,998700,2021 -Mata Atlântica,BAHIA,encruzilhada,35.28,agriculture,587315,2021 -Caatinga,BAHIA,santa rita de cássia,1.61,agriculture,998700,2021 -Caatinga,BAHIA,barra,6.78,agriculture,79058,2021 -Cerrado,BAHIA,santa rita de cássia,225.41,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,28.81,urban_expansion,998700,2021 -Caatinga,BAHIA,cotegipe,11.86,agriculture,292547,2021 -Caatinga,BAHIA,santa rita de cássia,7.92,agriculture,998700,2021 -Mata Atlântica,BAHIA,iguaí,1.44,agriculture,277970,2022 -Mata Atlântica,BAHIA,itambé,1.0,agriculture,227632,2022 -Mata Atlântica,BAHIA,encruzilhada,58.4,agriculture,414662,2022 -Mata Atlântica,BAHIA,itambé,6.05,agriculture,227632,2022 -Mata Atlântica,BAHIA,itarantim,2.32,agriculture,203154,2022 -Cerrado,BAHIA,são desidério,1845.38,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,601.68,agriculture,2729422,2022 -Cerrado,BAHIA,cotegipe,26.62,agriculture,297663,2022 -Cerrado,BAHIA,jaborandi,33.31,agriculture,1734316,2022 -Cerrado,BAHIA,formosa do rio preto,323.44,agriculture,2432263,2022 -Cerrado,BAHIA,luís eduardo magalhães,47.68,agriculture,343098,2022 -Cerrado,BAHIA,santa rita de cássia,2.79,agriculture,569631,2022 -Caatinga,BAHIA,santa rita de cássia,2.74,agriculture,569631,2022 -Cerrado,BAHIA,baianópolis,17.55,agriculture,413632,2022 -Cerrado,BAHIA,correntina,47.3,agriculture,1473135,2022 -Mata Atlântica,BAHIA,guaratinga,4.02,agriculture,243882,2022 -Mata Atlântica,BAHIA,valença,0.73,agriculture,378871,2022 -Caatinga,BAHIA,cotegipe,3.62,agriculture,297663,2022 -Cerrado,BAHIA,santa rita de cássia,19.13,agriculture,569631,2022 -Caatinga,BAHIA,jaborandi,76.4,others,1734316,2022 -Cerrado,BAHIA,cotegipe,38.95,agriculture,297663,2022 -Cerrado,BAHIA,correntina,208.08,agriculture,1473135,2022 -Cerrado,BAHIA,riachão das neves,94.42,agriculture,670183,2022 -Cerrado,BAHIA,baianópolis,17.18,agriculture,413632,2022 -Cerrado,BAHIA,santa rita de cássia,3.82,agriculture,569631,2022 -Cerrado,BAHIA,formosa do rio preto,10.16,agriculture,2432263,2022 -Cerrado,BAHIA,barreiras,220.56,agriculture,996163,2022 -Mata Atlântica,BAHIA,igrapiúna,0.78,agriculture,210971,2022 -Cerrado,BAHIA,riachão das neves,48.36,agriculture,670183,2022 -Cerrado,BAHIA,correntina,158.26,agriculture,1473135,2022 -Cerrado,BAHIA,santa rita de cássia,249.4,agriculture,694797,2019 -Cerrado,BAHIA,luís eduardo magalhães,21.24,agriculture,800435,2019 -Cerrado,BAHIA,barreiras,10.33,agriculture,1568927,2019 -Mata Atlântica,BAHIA,itagibá,5.21,agriculture,121675,2019 -Cerrado,BAHIA,formosa do rio preto,247.97,agriculture,4220327,2019 -Cerrado,BAHIA,barreiras,408.2,agriculture,1568927,2019 -Caatinga,BAHIA,santa rita de cássia,2.45,agriculture,694797,2019 -Caatinga,BAHIA,santa rita de cássia,11.43,agriculture,694797,2019 -Cerrado,BAHIA,formosa do rio preto,790.32,agriculture,4220327,2019 -Cerrado,BAHIA,baianópolis,13.25,agriculture,607436,2019 -Cerrado,BAHIA,formosa do rio preto,255.35,agriculture,4220327,2019 -Cerrado,BAHIA,formosa do rio preto,7.82,agriculture,4220327,2019 -Cerrado,BAHIA,riachão das neves,182.87,agriculture,580173,2019 -Cerrado,BAHIA,formosa do rio preto,889.43,agriculture,4220327,2019 -Caatinga,BAHIA,cotegipe,9.94,agriculture,331163,2019 -Mata Atlântica,BAHIA,ilhéus,1.39,agriculture,158872,2019 -Cerrado,BAHIA,barreiras,24.48,agriculture,1179766,2020 -Cerrado,BAHIA,cotegipe,285.29,agriculture,559960,2020 -Cerrado,BAHIA,são desidério,1479.14,agriculture,3091203,2020 -Mata Atlântica,BAHIA,ilhéus,14.61,agriculture,191205,2020 -Mata Atlântica,BAHIA,camamu,0.83,agriculture,434741,2020 -Mata Atlântica,BAHIA,dário meira,2.4,agriculture,92504,2020 -Mata Atlântica,BAHIA,itambé,2.44,agriculture,144429,2020 -Caatinga,BAHIA,barra,132.94,agriculture,139778,2020 -Cerrado,BAHIA,cotegipe,5.09,agriculture,559960,2020 -Caatinga,BAHIA,cotegipe,16.07,agriculture,559960,2020 -Mata Atlântica,BAHIA,maraú,4.44,agriculture,170126,2020 -Mata Atlântica,BAHIA,maraú,5.34,agriculture,170126,2020 -Cerrado,BAHIA,luís eduardo magalhães,8.31,agriculture,1523413,2020 -Cerrado,BAHIA,correntina,17.83,agriculture,1060525,2020 -Caatinga,BAHIA,cotegipe,32.49,agriculture,559960,2020 -Cerrado,BAHIA,santa rita de cássia,11.23,agriculture,859509,2020 -Mata Atlântica,BAHIA,belmonte,0.56,agriculture,350558,2020 -Mata Atlântica,BAHIA,encruzilhada,4.49,agriculture,451620,2020 -Caatinga,BAHIA,santa rita de cássia,91.17,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,22.73,agriculture,790814,2020 -Mata Atlântica,BAHIA,iguaí,1.2,agriculture,127471,2020 -Caatinga,BAHIA,santa rita de cássia,8.38,agriculture,859509,2020 -Cerrado,BAHIA,correntina,21.46,agriculture,1585476,2021 -Mata Atlântica,BAHIA,ibirapitanga,5.34,agriculture,72436,2021 -Caatinga,BAHIA,santa rita de cássia,1.59,agriculture,998700,2021 -Caatinga,BAHIA,barra,1.65,agriculture,79058,2021 -Mata Atlântica,BAHIA,ibirapitanga,4.48,agriculture,72436,2021 -Cerrado,BAHIA,formosa do rio preto,1326.82,agriculture,2299737,2021 -Cerrado,BAHIA,cotegipe,6.06,agriculture,292547,2021 -Mata Atlântica,BAHIA,valença,2.97,agriculture,195332,2021 -Cerrado,BAHIA,correntina,23.63,agriculture,1585476,2021 -Cerrado,BAHIA,formosa do rio preto,23.46,agriculture,2299737,2021 -Mata Atlântica,BAHIA,valença,1.79,agriculture,195332,2021 -Cerrado,BAHIA,santa rita de cássia,5.11,agriculture,998700,2021 -Caatinga,BAHIA,barra,1.05,others,139778,2020 -Cerrado,BAHIA,correntina,12.02,agriculture,1060525,2020 -Caatinga,BAHIA,barra,3.57,agriculture,139778,2020 -Caatinga,BAHIA,barra,10.23,others,139778,2020 -Caatinga,BAHIA,barra,1.28,others,139778,2020 -Caatinga,BAHIA,barra,1.38,others,139778,2020 -Cerrado,BAHIA,baianópolis,0.89,agriculture,790814,2020 -Cerrado,BAHIA,jaborandi,0.84,agriculture,1744004,2020 -Cerrado,BAHIA,formosa do rio preto,16.63,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,5.07,agriculture,3073766,2020 -Cerrado,BAHIA,riachão das neves,6.63,agriculture,1085054,2020 -Caatinga,BAHIA,santa rita de cássia,1.05,agriculture,859509,2020 -Cerrado,BAHIA,jaborandi,4.47,agriculture,1744004,2020 -Caatinga,BAHIA,cotegipe,7.34,agriculture,292547,2021 -Cerrado,BAHIA,luís eduardo magalhães,20.35,agriculture,654262,2021 -Cerrado,BAHIA,formosa do rio preto,51.55,agriculture,2299737,2021 -Cerrado,BAHIA,cotegipe,24.46,agriculture,292547,2021 -Cerrado,BAHIA,santa rita de cássia,124.06,agriculture,998700,2021 -Mata Atlântica,BAHIA,ilhéus,14.56,agriculture,131715,2021 -Mata Atlântica,BAHIA,camamu,0.94,agriculture,163548,2021 -Cerrado,BAHIA,são desidério,176.12,agriculture,3159579,2021 -Caatinga,BAHIA,santa rita de cássia,17.63,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,0.97,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,6.6,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,0.38,agriculture,998700,2021 -Cerrado,BAHIA,cocos,16.96,agriculture,1229644,2021 -Cerrado,BAHIA,luís eduardo magalhães,395.55,agriculture,654262,2021 -Cerrado,BAHIA,formosa do rio preto,22.07,agriculture,2299737,2021 -Cerrado,BAHIA,jaborandi,29.0,agriculture,2051920,2021 -Cerrado,BAHIA,formosa do rio preto,57.31,agriculture,2299737,2021 -Cerrado,BAHIA,riachão das neves,24.19,agriculture,761963,2021 -Caatinga,BAHIA,santa rita de cássia,10.55,agriculture,998700,2021 -Mata Atlântica,BAHIA,guaratinga,2.38,agriculture,243882,2022 -Mata Atlântica,BAHIA,itambé,9.26,agriculture,227632,2022 -Cerrado,BAHIA,barreiras,82.44,agriculture,996163,2022 -Cerrado,BAHIA,riachão das neves,499.1,agriculture,670183,2022 -Cerrado,BAHIA,santa rita de cássia,136.77,agriculture,569631,2022 -Mata Atlântica,BAHIA,ilhéus,2.5,agriculture,209209,2022 -Cerrado,BAHIA,santa rita de cássia,3.89,agriculture,569631,2022 -Mata Atlântica,BAHIA,maraú,0.49,agriculture,275953,2022 -Mata Atlântica,BAHIA,itapetinga,19.31,agriculture,285382,2022 -Mata Atlântica,BAHIA,ilhéus,1.19,agriculture,209209,2022 -Cerrado,BAHIA,baianópolis,6.02,agriculture,413632,2022 -Cerrado,BAHIA,barreiras,2.74,agriculture,996163,2022 -Cerrado,BAHIA,jaborandi,4.79,agriculture,1734316,2022 -Cerrado,BAHIA,formosa do rio preto,10.56,agriculture,2432263,2022 -Caatinga,BAHIA,cotegipe,22.06,others,297663,2022 -Cerrado,BAHIA,cocos,8.85,agriculture,367625,2022 -Cerrado,BAHIA,luís eduardo magalhães,97.19,agriculture,343098,2022 -Cerrado,BAHIA,jaborandi,128.52,agriculture,1734316,2022 -Caatinga,BAHIA,cocos,12.21,agriculture,959394,2019 -Cerrado,BAHIA,riachão das neves,26.41,agriculture,580173,2019 -Cerrado,BAHIA,baianópolis,21.65,agriculture,607436,2019 -Cerrado,BAHIA,jaborandi,1102.39,agriculture,1706967,2019 -Cerrado,BAHIA,são desidério,4.61,agriculture,2024107,2019 -Cerrado,BAHIA,formosa do rio preto,239.22,agriculture,4220327,2019 -Cerrado,BAHIA,baianópolis,29.47,agriculture,607436,2019 -Caatinga,BAHIA,cotegipe,17.2,agriculture,331163,2019 -Cerrado,BAHIA,barreiras,9.92,agriculture,1568927,2019 -Cerrado,BAHIA,santa rita de cássia,129.75,agriculture,694797,2019 -Cerrado,BAHIA,formosa do rio preto,35.49,agriculture,4220327,2019 -Cerrado,BAHIA,baianópolis,71.36,agriculture,607436,2019 -Caatinga,BAHIA,santa rita de cássia,19.9,agriculture,694797,2019 -Caatinga,BAHIA,cotegipe,20.74,agriculture,331163,2019 -Mata Atlântica,BAHIA,dário meira,2.36,agriculture,94401,2019 -Cerrado,BAHIA,jaborandi,2.8,agriculture,1744004,2020 -Cerrado,BAHIA,jaborandi,3.75,agriculture,1744004,2020 -Cerrado,BAHIA,jaborandi,90.98,agriculture,1744004,2020 -Cerrado,BAHIA,riachão das neves,3.41,agriculture,1085054,2020 -Cerrado,BAHIA,luís eduardo magalhães,223.0,agriculture,1523413,2020 -Cerrado,BAHIA,barreiras,4.45,agriculture,1179766,2020 -Cerrado,BAHIA,são desidério,16.73,agriculture,3091203,2020 -Mata Atlântica,BAHIA,ilhéus,4.93,agriculture,191205,2020 -Cerrado,BAHIA,riachão das neves,67.96,agriculture,1085054,2020 -Mata Atlântica,BAHIA,encruzilhada,15.41,agriculture,451620,2020 -Mata Atlântica,BAHIA,iguaí,1.46,agriculture,127471,2020 -Mata Atlântica,BAHIA,valença,3.62,agriculture,427637,2020 -Cerrado,BAHIA,formosa do rio preto,456.75,agriculture,3073766,2020 -Cerrado,BAHIA,riachão das neves,53.36,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,35.94,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,29.91,agriculture,559960,2020 -Cerrado,BAHIA,são desidério,21.59,agriculture,3091203,2020 -Caatinga,BAHIA,jaborandi,3.2,agriculture,1744004,2020 -Cerrado,BAHIA,baianópolis,4.39,agriculture,790814,2020 -Cerrado,BAHIA,santa rita de cássia,66.04,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,9.7,agriculture,3091203,2020 -Caatinga,BAHIA,cotegipe,14.75,agriculture,559960,2020 -Caatinga,BAHIA,santa rita de cássia,13.21,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,11.4,agriculture,859509,2020 -Caatinga,BAHIA,cocos,5.72,agriculture,1218387,2020 -Caatinga,BAHIA,santa rita de cássia,13.56,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,32.45,agriculture,790814,2020 -Cerrado,BAHIA,barreiras,7.52,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,16.87,agriculture,1179766,2020 -Cerrado,BAHIA,luís eduardo magalhães,142.4,agriculture,654262,2021 -Mata Atlântica,BAHIA,guaratinga,3.55,agriculture,171742,2021 -Mata Atlântica,BAHIA,dário meira,29.26,agriculture,101797,2021 -Caatinga,BAHIA,santa rita de cássia,17.62,agriculture,998700,2021 -Cerrado,BAHIA,jaborandi,477.24,agriculture,2051920,2021 -Cerrado,BAHIA,correntina,4.57,agriculture,1585476,2021 -Mata Atlântica,BAHIA,valença,0.43,agriculture,195332,2021 -Cerrado,BAHIA,luís eduardo magalhães,280.37,agriculture,654262,2021 -Cerrado,BAHIA,luís eduardo magalhães,34.8,agriculture,654262,2021 -Cerrado,BAHIA,são desidério,27.11,agriculture,3159579,2021 -Cerrado,BAHIA,correntina,62.7,agriculture,1585476,2021 -Mata Atlântica,BAHIA,camamu,1.01,agriculture,163548,2021 -Cerrado,BAHIA,barreiras,3.77,agriculture,958306,2021 -Cerrado,BAHIA,baianópolis,2.68,agriculture,1700892,2021 -Cerrado,BAHIA,formosa do rio preto,311.02,agriculture,2299737,2021 -Caatinga,BAHIA,correntina,13.53,agriculture,1585476,2021 -Caatinga,BAHIA,santa rita de cássia,4.45,agriculture,998700,2021 -Caatinga,BAHIA,barra,2.29,agriculture,139778,2020 -Caatinga,BAHIA,barra,0.74,others,139778,2020 -Caatinga,BAHIA,barra,1.12,others,139778,2020 -Caatinga,BAHIA,santa rita de cássia,1.79,agriculture,859509,2020 -Cerrado,BAHIA,cotegipe,4.9,agriculture,559960,2020 -Caatinga,BAHIA,barra,1.17,agriculture,139778,2020 -Cerrado,BAHIA,santa rita de cássia,3.75,agriculture,859509,2020 -Cerrado,BAHIA,correntina,4.19,agriculture,1060525,2020 -Caatinga,BAHIA,correntina,0.41,agriculture,1060525,2020 -Cerrado,BAHIA,santa rita de cássia,3.37,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,4.01,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,6.0,agriculture,3073766,2020 -Cerrado,BAHIA,barreiras,15.18,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,1.16,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,6.62,agriculture,1085054,2020 -Cerrado,BAHIA,luís eduardo magalhães,9.41,agriculture,1523413,2020 -Cerrado,BAHIA,riachão das neves,33.7,agriculture,1085054,2020 -Cerrado,BAHIA,formosa do rio preto,6.61,agriculture,3073766,2020 -Cerrado,BAHIA,cocos,2.29,agriculture,1218387,2020 -Cerrado,BAHIA,santa rita de cássia,9.97,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,1.3,others,292547,2021 -Cerrado,BAHIA,correntina,96.43,agriculture,1585476,2021 -Cerrado,BAHIA,correntina,4.5,agriculture,1585476,2021 -Caatinga,BAHIA,santa rita de cássia,19.64,agriculture,998700,2021 -Cerrado,BAHIA,barreiras,1055.72,agriculture,958306,2021 -Cerrado,BAHIA,santa rita de cássia,20.65,agriculture,998700,2021 -Mata Atlântica,BAHIA,itapetinga,13.09,agriculture,20727,2021 -Mata Atlântica,BAHIA,itapetinga,58.74,agriculture,20727,2021 -Caatinga,BAHIA,cotegipe,1.59,agriculture,292547,2021 -Caatinga,BAHIA,barra,2.3,agriculture,79058,2021 -Caatinga,BAHIA,cotegipe,17.15,others,292547,2021 -Caatinga,BAHIA,barra,9.77,agriculture,79058,2021 -Caatinga,BAHIA,cocos,20.01,agriculture,1229644,2021 -Cerrado,BAHIA,são desidério,337.41,agriculture,3159579,2021 -Caatinga,BAHIA,santa rita de cássia,12.35,agriculture,998700,2021 -Mata Atlântica,BAHIA,maraú,3.8,agriculture,275953,2022 -Mata Atlântica,BAHIA,itagibá,72.64,agriculture,288483,2022 -Cerrado,BAHIA,barreiras,239.06,agriculture,996163,2022 -Cerrado,BAHIA,santa rita de cássia,7.8,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,10.19,agriculture,569631,2022 -Cerrado,BAHIA,luís eduardo magalhães,143.95,agriculture,343098,2022 -Cerrado,BAHIA,correntina,2074.81,agriculture,1473135,2022 -Cerrado,BAHIA,são desidério,163.4,agriculture,2729422,2022 -Cerrado,BAHIA,baianópolis,32.71,agriculture,413632,2022 -Cerrado,BAHIA,santa rita de cássia,12.86,agriculture,569631,2022 -Cerrado,BAHIA,barreiras,184.48,agriculture,996163,2022 -Cerrado,BAHIA,correntina,147.75,agriculture,1473135,2022 -Cerrado,BAHIA,riachão das neves,297.96,agriculture,670183,2022 -Mata Atlântica,BAHIA,camamu,0.37,agriculture,232571,2022 -Mata Atlântica,BAHIA,valença,1.02,agriculture,378871,2022 -Cerrado,BAHIA,são desidério,0.69,agriculture,2729422,2022 -Caatinga,BAHIA,jaborandi,3.1,others,1734316,2022 -Cerrado,BAHIA,formosa do rio preto,12.24,agriculture,2432263,2022 -Cerrado,BAHIA,cocos,12.16,agriculture,367625,2022 -Caatinga,BAHIA,barra,3.54,others,312169,2022 -Cerrado,BAHIA,cocos,10.71,agriculture,367625,2022 -Cerrado,BAHIA,formosa do rio preto,175.86,agriculture,2432263,2022 -Cerrado,BAHIA,correntina,48.41,agriculture,1473135,2022 -Caatinga,BAHIA,barra,1.43,agriculture,312169,2022 -Cerrado,BAHIA,jaborandi,5.35,agriculture,1734316,2022 -Mata Atlântica,BAHIA,itapetinga,19.22,agriculture,285382,2022 -Mata Atlântica,BAHIA,ilhéus,5.27,agriculture,158872,2019 -Cerrado,BAHIA,cocos,13.78,agriculture,959394,2019 -Mata Atlântica,BAHIA,ibirapitanga,3.23,agriculture,86205,2019 -Cerrado,BAHIA,santa rita de cássia,15.13,agriculture,694797,2019 -Cerrado,BAHIA,são desidério,213.66,agriculture,2024107,2019 -Cerrado,BAHIA,são desidério,23.24,agriculture,2024107,2019 -Mata Atlântica,BAHIA,iguaí,15.41,agriculture,82227,2019 -Cerrado,BAHIA,barreiras,86.72,agriculture,1568927,2019 -Mata Atlântica,BAHIA,igrapiúna,2.14,agriculture,257694,2019 -Caatinga,BAHIA,santa rita de cássia,8.82,agriculture,694797,2019 -Caatinga,BAHIA,cocos,6.47,agriculture,959394,2019 -Cerrado,BAHIA,baianópolis,3.91,agriculture,607436,2019 -Cerrado,BAHIA,santa rita de cássia,86.38,agriculture,694797,2019 -Cerrado,BAHIA,baianópolis,54.08,agriculture,607436,2019 -Cerrado,BAHIA,formosa do rio preto,40.93,agriculture,4220327,2019 -Cerrado,BAHIA,formosa do rio preto,94.18,agriculture,4220327,2019 -Mata Atlântica,BAHIA,igrapiúna,5.25,agriculture,257694,2019 -Mata Atlântica,BAHIA,guaratinga,3.43,agriculture,211708,2019 -Cerrado,BAHIA,são desidério,2124.54,agriculture,3091203,2020 -Cerrado,BAHIA,cocos,170.87,agriculture,1218387,2020 -Cerrado,BAHIA,correntina,17.42,agriculture,1060525,2020 -Cerrado,BAHIA,riachão das neves,119.36,agriculture,1085054,2020 -Cerrado,BAHIA,cotegipe,230.99,agriculture,559960,2020 -Mata Atlântica,BAHIA,belmonte,1.14,agriculture,350558,2020 -Mata Atlântica,BAHIA,valença,2.02,agriculture,427637,2020 -Mata Atlântica,BAHIA,igrapiúna,20.05,agriculture,378236,2020 -Cerrado,BAHIA,cocos,16.95,agriculture,1218387,2020 -Mata Atlântica,BAHIA,belmonte,5.12,agriculture,350558,2020 -Caatinga,BAHIA,santa rita de cássia,51.41,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,73.2,agriculture,3091203,2020 -Caatinga,BAHIA,jaborandi,3.47,agriculture,1744004,2020 -Cerrado,BAHIA,baianópolis,6.41,agriculture,790814,2020 -Cerrado,BAHIA,jaborandi,3.6,agriculture,1744004,2020 -Caatinga,BAHIA,correntina,5.03,agriculture,1060525,2020 -Mata Atlântica,BAHIA,camamu,0.66,agriculture,434741,2020 -Cerrado,BAHIA,barreiras,84.46,agriculture,1179766,2020 -Caatinga,BAHIA,jaborandi,5.27,agriculture,1744004,2020 -Mata Atlântica,BAHIA,maraú,6.67,agriculture,170126,2020 -Cerrado,BAHIA,formosa do rio preto,9.35,agriculture,3073766,2020 -Cerrado,BAHIA,luís eduardo magalhães,176.74,agriculture,1523413,2020 -Cerrado,BAHIA,luís eduardo magalhães,18.77,agriculture,1523413,2020 -Cerrado,BAHIA,baianópolis,4.7,agriculture,790814,2020 -Mata Atlântica,BAHIA,valença,2.52,agriculture,427637,2020 -Cerrado,BAHIA,santa rita de cássia,4.24,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,16.91,agriculture,859509,2020 -Cerrado,BAHIA,jaborandi,42.6,agriculture,2051920,2021 -Mata Atlântica,BAHIA,valença,3.04,agriculture,195332,2021 -Caatinga,BAHIA,santa rita de cássia,4.17,agriculture,998700,2021 -Cerrado,BAHIA,correntina,251.31,agriculture,1585476,2021 -Mata Atlântica,BAHIA,igrapiúna,2.61,agriculture,148621,2021 -Mata Atlântica,BAHIA,guaratinga,0.31,agriculture,171742,2021 -Cerrado,BAHIA,formosa do rio preto,21.3,agriculture,2299737,2021 -Cerrado,BAHIA,correntina,0.58,agriculture,1585476,2021 -Cerrado,BAHIA,baianópolis,1.19,agriculture,1700892,2021 -Caatinga,BAHIA,santa rita de cássia,0.39,agriculture,998700,2021 -Caatinga,BAHIA,barra,6.82,agriculture,79058,2021 -Caatinga,BAHIA,barra,74.92,agriculture,79058,2021 -Caatinga,BAHIA,santa rita de cássia,13.92,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,2.33,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,3.78,others,998700,2021 -Caatinga,BAHIA,santa rita de cássia,11.15,agriculture,998700,2021 -Mata Atlântica,BAHIA,belmonte,6.09,agriculture,331485,2021 -Caatinga,BAHIA,cotegipe,0.91,others,292547,2021 -Caatinga,BAHIA,barra,0.88,others,139778,2020 -Caatinga,BAHIA,cocos,2.09,others,1218387,2020 -Cerrado,BAHIA,barreiras,29.74,agriculture,1179766,2020 -Cerrado,BAHIA,são desidério,1.4,agriculture,3091203,2020 -Caatinga,BAHIA,barra,1.0,others,139778,2020 -Caatinga,BAHIA,barra,2.31,others,139778,2020 -Caatinga,BAHIA,santa rita de cássia,1.38,others,859509,2020 -Cerrado,BAHIA,santa rita de cássia,3.77,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,15.46,agriculture,1179766,2020 -Cerrado,BAHIA,formosa do rio preto,1.73,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,17.74,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,4.29,agriculture,859509,2020 -Caatinga,BAHIA,cocos,3.88,agriculture,1218387,2020 -Cerrado,BAHIA,baianópolis,67.64,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,30.37,agriculture,1700892,2021 -Cerrado,BAHIA,jaborandi,1.13,agriculture,2051920,2021 -Cerrado,BAHIA,riachão das neves,66.38,agriculture,761963,2021 -Cerrado,BAHIA,jaborandi,92.92,agriculture,2051920,2021 -Cerrado,BAHIA,barreiras,8.17,agriculture,958306,2021 -Cerrado,BAHIA,luís eduardo magalhães,7.27,agriculture,654262,2021 -Cerrado,BAHIA,luís eduardo magalhães,13.09,agriculture,654262,2021 -Caatinga,BAHIA,cotegipe,43.4,others,292547,2021 -Cerrado,BAHIA,luís eduardo magalhães,621.88,agriculture,654262,2021 -Mata Atlântica,BAHIA,encruzilhada,37.48,agriculture,587315,2021 -Mata Atlântica,BAHIA,itapetinga,4.26,agriculture,20727,2021 -Mata Atlântica,BAHIA,encruzilhada,20.38,agriculture,587315,2021 -Cerrado,BAHIA,santa rita de cássia,36.36,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,19.61,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,1.47,agriculture,998700,2021 -Caatinga,BAHIA,barra,177.98,agriculture,79058,2021 -Caatinga,BAHIA,santa rita de cássia,5.79,others,998700,2021 -Cerrado,BAHIA,formosa do rio preto,14.29,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,28.93,agriculture,2299737,2021 -Cerrado,BAHIA,cocos,4.77,agriculture,1229644,2021 -Mata Atlântica,BAHIA,itambé,8.57,agriculture,227632,2022 -Cerrado,BAHIA,riachão das neves,419.67,agriculture,670183,2022 -Cerrado,BAHIA,formosa do rio preto,13.03,agriculture,2432263,2022 -Cerrado,BAHIA,barreiras,86.98,agriculture,996163,2022 -Cerrado,BAHIA,são desidério,1152.42,agriculture,2729422,2022 -Cerrado,BAHIA,jaborandi,25.7,agriculture,1734316,2022 -Cerrado,BAHIA,jaborandi,15.37,agriculture,1734316,2022 -Cerrado,BAHIA,são desidério,1626.19,agriculture,2729422,2022 -Cerrado,BAHIA,santa rita de cássia,5.15,agriculture,569631,2022 -Caatinga,BAHIA,cotegipe,6.97,others,297663,2022 -Cerrado,BAHIA,baianópolis,142.81,agriculture,413632,2022 -Mata Atlântica,BAHIA,ilhéus,0.49,agriculture,209209,2022 -Mata Atlântica,BAHIA,igrapiúna,0.72,agriculture,210971,2022 -Caatinga,BAHIA,cotegipe,0.77,others,297663,2022 -Caatinga,BAHIA,barra,43.61,agriculture,312169,2022 -Cerrado,BAHIA,riachão das neves,30.41,agriculture,670183,2022 -Cerrado,BAHIA,baianópolis,51.49,agriculture,413632,2022 -Caatinga,BAHIA,barra,0.77,others,312169,2022 -Caatinga,BAHIA,santa rita de cássia,13.87,agriculture,694797,2019 -Cerrado,BAHIA,formosa do rio preto,89.61,agriculture,4220327,2019 -Caatinga,BAHIA,cotegipe,5.8,agriculture,331163,2019 -Cerrado,BAHIA,cotegipe,10.12,agriculture,331163,2019 -Cerrado,BAHIA,luís eduardo magalhães,417.37,agriculture,800435,2019 -Cerrado,BAHIA,formosa do rio preto,148.63,agriculture,4220327,2019 -Cerrado,BAHIA,são desidério,599.9,agriculture,2024107,2019 -Caatinga,BAHIA,cotegipe,9.17,agriculture,331163,2019 -Cerrado,BAHIA,são desidério,14.24,agriculture,2024107,2019 -Cerrado,BAHIA,baianópolis,3.09,agriculture,607436,2019 -Cerrado,BAHIA,barreiras,18.16,agriculture,1568927,2019 -Cerrado,BAHIA,santa rita de cássia,17.34,agriculture,694797,2019 -Cerrado,BAHIA,são desidério,41.05,agriculture,2024107,2019 -Mata Atlântica,BAHIA,jequié,4.29,agriculture,249169,2019 -Mata Atlântica,BAHIA,valença,1.11,agriculture,247673,2019 -Cerrado,BAHIA,cotegipe,1309.16,agriculture,559960,2020 -Caatinga,BAHIA,cotegipe,9.85,agriculture,559960,2020 -Cerrado,BAHIA,barreiras,12.15,agriculture,1179766,2020 -Mata Atlântica,BAHIA,ilhéus,4.71,urban_expansion,191205,2020 -Mata Atlântica,BAHIA,belmonte,3.34,agriculture,350558,2020 -Cerrado,BAHIA,baianópolis,10.25,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,8.82,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,129.05,agriculture,3091203,2020 -Mata Atlântica,BAHIA,itagibá,5.53,agriculture,72102,2020 -Mata Atlântica,BAHIA,iguaí,4.55,agriculture,127471,2020 -Cerrado,BAHIA,luís eduardo magalhães,48.04,agriculture,1523413,2020 -Cerrado,BAHIA,barreiras,153.03,agriculture,1179766,2020 -Caatinga,BAHIA,santa rita de cássia,6.88,agriculture,859509,2020 -Cerrado,BAHIA,cocos,5.29,agriculture,1218387,2020 -Cerrado,BAHIA,jaborandi,7.2,agriculture,1744004,2020 -Cerrado,BAHIA,jaborandi,13.45,agriculture,1744004,2020 -Cerrado,BAHIA,cocos,435.94,agriculture,1218387,2020 -Mata Atlântica,BAHIA,valença,4.9,agriculture,427637,2020 -Cerrado,BAHIA,baianópolis,7.18,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,8.93,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,10.25,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,7.04,agriculture,1085054,2020 -Caatinga,BAHIA,santa rita de cássia,7.64,agriculture,859509,2020 -Mata Atlântica,BAHIA,belmonte,1.51,agriculture,350558,2020 -Mata Atlântica,BAHIA,encruzilhada,16.78,agriculture,451620,2020 -Cerrado,BAHIA,baianópolis,340.0,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,17.37,agriculture,859509,2020 -Mata Atlântica,BAHIA,ilhéus,1.02,agriculture,191205,2020 -Cerrado,BAHIA,riachão das neves,39.67,agriculture,761963,2021 -Mata Atlântica,BAHIA,nilo peçanha,5.66,agriculture,59568,2021 -Mata Atlântica,BAHIA,nilo peçanha,15.57,agriculture,59568,2021 -Mata Atlântica,BAHIA,valença,0.94,agriculture,195332,2021 -Mata Atlântica,BAHIA,dário meira,3.4,agriculture,101797,2021 -Cerrado,BAHIA,baianópolis,1134.59,agriculture,1700892,2021 -Mata Atlântica,BAHIA,valença,0.42,agriculture,195332,2021 -Cerrado,BAHIA,são desidério,16.23,agriculture,3159579,2021 -Cerrado,BAHIA,cocos,1680.4,agriculture,1229644,2021 -Cerrado,BAHIA,correntina,10.55,agriculture,1585476,2021 -Cerrado,BAHIA,formosa do rio preto,610.17,agriculture,2299737,2021 -Mata Atlântica,BAHIA,belmonte,4.63,agriculture,331485,2021 -Caatinga,BAHIA,cotegipe,2.8,agriculture,292547,2021 -Cerrado,BAHIA,riachão das neves,15.32,agriculture,761963,2021 -Caatinga,BAHIA,santa rita de cássia,43.84,agriculture,998700,2021 -Mata Atlântica,BAHIA,iguaí,6.13,agriculture,155962,2021 -Cerrado,BAHIA,santa rita de cássia,4.03,agriculture,998700,2021 -Cerrado,BAHIA,correntina,34.68,agriculture,1585476,2021 -Cerrado,BAHIA,riachão das neves,214.94,agriculture,761963,2021 -Caatinga,BAHIA,santa rita de cássia,4.72,agriculture,998700,2021 -Cerrado,BAHIA,baianópolis,1.62,agriculture,1700892,2021 -Cerrado,BAHIA,são desidério,4.46,urban_expansion,3091203,2020 -Cerrado,BAHIA,correntina,2.6,agriculture,1060525,2020 -Cerrado,BAHIA,são desidério,3.26,agriculture,3091203,2020 -Caatinga,BAHIA,barra,1.03,others,139778,2020 -Caatinga,BAHIA,barra,1.86,others,139778,2020 -Caatinga,BAHIA,barra,2.22,others,139778,2020 -Caatinga,BAHIA,barra,1.94,others,139778,2020 -Caatinga,BAHIA,barra,0.79,agriculture,139778,2020 -Caatinga,BAHIA,barra,1.82,agriculture,139778,2020 -Caatinga,BAHIA,barra,2.77,others,139778,2020 -Caatinga,BAHIA,barra,0.5,others,139778,2020 -Cerrado,BAHIA,santa rita de cássia,0.88,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,4.21,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,4.48,others,559960,2020 -Cerrado,BAHIA,santa rita de cássia,0.83,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,3.93,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,15.08,agriculture,790814,2020 -Cerrado,BAHIA,correntina,8.62,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,2.57,agriculture,790814,2020 -Cerrado,BAHIA,riachão das neves,12.77,agriculture,1085054,2020 -Cerrado,BAHIA,formosa do rio preto,7.06,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,7.9,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,3.11,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,1.62,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,23.67,agriculture,1179766,2020 -Cerrado,BAHIA,formosa do rio preto,14.59,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,2.59,agriculture,3073766,2020 -Cerrado,BAHIA,cocos,36.79,agriculture,1218387,2020 -Caatinga,BAHIA,cotegipe,2.97,others,292547,2021 -Mata Atlântica,BAHIA,nilo peçanha,1.21,agriculture,59568,2021 -Cerrado,BAHIA,cotegipe,24.67,agriculture,292547,2021 -Caatinga,BAHIA,cotegipe,61.8,agriculture,292547,2021 -Mata Atlântica,BAHIA,ibirapitanga,7.35,agriculture,72436,2021 -Cerrado,BAHIA,jaborandi,112.09,agriculture,2051920,2021 -Mata Atlântica,BAHIA,encruzilhada,7.11,agriculture,587315,2021 -Mata Atlântica,BAHIA,encruzilhada,360.49,agriculture,587315,2021 -Cerrado,BAHIA,riachão das neves,17.92,agriculture,761963,2021 -Cerrado,BAHIA,riachão das neves,13.05,agriculture,761963,2021 -Caatinga,BAHIA,santa rita de cássia,2.98,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,50.77,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,4.09,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,7.5,agriculture,292547,2021 -Cerrado,BAHIA,riachão das neves,53.11,agriculture,761963,2021 -Cerrado,BAHIA,santa rita de cássia,7.28,agriculture,998700,2021 -Cerrado,BAHIA,barreiras,32.05,agriculture,958306,2021 -Cerrado,BAHIA,formosa do rio preto,42.45,agriculture,2299737,2021 -Mata Atlântica,BAHIA,valença,2.99,agriculture,195332,2021 -Caatinga,BAHIA,barra,10.89,agriculture,79058,2021 -Cerrado,BAHIA,formosa do rio preto,2647.19,agriculture,2432263,2022 -Cerrado,BAHIA,jaborandi,339.7,agriculture,1734316,2022 -Cerrado,BAHIA,formosa do rio preto,74.41,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,29.15,agriculture,2432263,2022 -Mata Atlântica,BAHIA,maraú,8.79,agriculture,275953,2022 -Cerrado,BAHIA,correntina,182.32,agriculture,1473135,2022 -Cerrado,BAHIA,são desidério,129.73,agriculture,2729422,2022 -Cerrado,BAHIA,formosa do rio preto,162.86,agriculture,2432263,2022 -Mata Atlântica,BAHIA,ilhéus,0.71,agriculture,209209,2022 -Mata Atlântica,BAHIA,belmonte,0.72,agriculture,354868,2022 -Cerrado,BAHIA,barreiras,10.25,agriculture,996163,2022 -Caatinga,BAHIA,cotegipe,10.37,others,297663,2022 -Cerrado,BAHIA,santa rita de cássia,206.25,agriculture,569631,2022 -Cerrado,BAHIA,baianópolis,14.01,agriculture,413632,2022 -Cerrado,BAHIA,formosa do rio preto,233.69,agriculture,2432263,2022 -Cerrado,BAHIA,baianópolis,39.14,agriculture,413632,2022 -Mata Atlântica,BAHIA,valença,4.82,agriculture,378871,2022 -Cerrado,BAHIA,formosa do rio preto,286.07,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,401.99,agriculture,4220327,2019 -Cerrado,BAHIA,cotegipe,114.31,agriculture,331163,2019 -Mata Atlântica,BAHIA,encruzilhada,23.27,agriculture,403895,2019 -Cerrado,BAHIA,formosa do rio preto,9.05,agriculture,4220327,2019 -Cerrado,BAHIA,formosa do rio preto,4.79,agriculture,4220327,2019 -Cerrado,BAHIA,santa rita de cássia,30.11,agriculture,694797,2019 -Cerrado,BAHIA,formosa do rio preto,55.98,agriculture,4220327,2019 -Cerrado,BAHIA,formosa do rio preto,321.01,agriculture,4220327,2019 -Cerrado,BAHIA,formosa do rio preto,46.15,agriculture,4220327,2019 -Cerrado,BAHIA,baianópolis,11.45,agriculture,607436,2019 -Caatinga,BAHIA,santa rita de cássia,57.65,agriculture,694797,2019 -Cerrado,BAHIA,baianópolis,10.47,agriculture,607436,2019 -Cerrado,BAHIA,formosa do rio preto,1.51,agriculture,4220327,2019 -Cerrado,BAHIA,riachão das neves,14.93,agriculture,580173,2019 -Cerrado,BAHIA,formosa do rio preto,426.1,agriculture,4220327,2019 -Cerrado,BAHIA,riachão das neves,273.7,agriculture,580173,2019 -Cerrado,BAHIA,barreiras,196.07,agriculture,1568927,2019 -Mata Atlântica,BAHIA,iguaí,1.75,agriculture,82227,2019 -Mata Atlântica,BAHIA,iguaí,1.57,agriculture,82227,2019 -Mata Atlântica,BAHIA,jequié,8.94,agriculture,249169,2019 -Mata Atlântica,BAHIA,camamu,0.68,agriculture,221471,2019 -Mata Atlântica,BAHIA,igrapiúna,1.78,agriculture,257694,2019 -Mata Atlântica,BAHIA,belmonte,4.08,agriculture,390403,2019 -Cerrado,BAHIA,barreiras,21.52,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,15.21,agriculture,1085054,2020 -Cerrado,BAHIA,baianópolis,41.39,agriculture,790814,2020 -Mata Atlântica,BAHIA,igrapiúna,9.25,agriculture,378236,2020 -Cerrado,BAHIA,baianópolis,142.19,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,3.84,agriculture,790814,2020 -Cerrado,BAHIA,riachão das neves,5.06,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,15.89,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,10.48,agriculture,859509,2020 -Cerrado,BAHIA,cocos,16.2,agriculture,1218387,2020 -Cerrado,BAHIA,correntina,8.11,agriculture,1060525,2020 -Cerrado,BAHIA,são desidério,127.66,agriculture,3091203,2020 -Cerrado,BAHIA,barreiras,21.09,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,28.55,agriculture,1179766,2020 -Cerrado,BAHIA,baianópolis,15.85,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,168.35,agriculture,790814,2020 -Cerrado,BAHIA,santa rita de cássia,7.19,agriculture,859509,2020 -Caatinga,BAHIA,jaborandi,4.29,agriculture,1744004,2020 -Cerrado,BAHIA,cotegipe,2.05,agriculture,559960,2020 -Cerrado,BAHIA,barreiras,12.14,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,12.91,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,5.26,agriculture,559960,2020 -Caatinga,BAHIA,jaborandi,6.04,agriculture,1744004,2020 -Mata Atlântica,BAHIA,ilhéus,3.09,agriculture,191205,2020 -Cerrado,BAHIA,formosa do rio preto,23.45,agriculture,3073766,2020 -Caatinga,BAHIA,santa rita de cássia,12.91,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,27.0,agriculture,1179766,2020 -Mata Atlântica,BAHIA,belmonte,4.67,agriculture,350558,2020 -Cerrado,BAHIA,santa rita de cássia,6.11,agriculture,998700,2021 -Cerrado,BAHIA,luís eduardo magalhães,77.08,agriculture,654262,2021 -Caatinga,BAHIA,santa rita de cássia,14.52,agriculture,998700,2021 -Caatinga,BAHIA,jaborandi,5.39,agriculture,2051920,2021 -Caatinga,BAHIA,barra,12.15,agriculture,79058,2021 -Cerrado,BAHIA,formosa do rio preto,21.36,agriculture,2299737,2021 -Cerrado,BAHIA,correntina,1675.57,agriculture,1585476,2021 -Caatinga,BAHIA,cotegipe,10.97,agriculture,292547,2021 -Caatinga,BAHIA,santa rita de cássia,9.38,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,2.93,agriculture,998700,2021 -Cerrado,BAHIA,baianópolis,3.46,others,1700892,2021 -Mata Atlântica,BAHIA,itagibá,15.31,agriculture,111453,2021 -Caatinga,BAHIA,santa rita de cássia,14.7,agriculture,998700,2021 -Cerrado,BAHIA,são desidério,24.96,others,3159579,2021 -Cerrado,BAHIA,barreiras,1.44,agriculture,1179766,2020 -Cerrado,BAHIA,são desidério,2.67,agriculture,3091203,2020 -Caatinga,BAHIA,barra,2.54,others,139778,2020 -Caatinga,BAHIA,cotegipe,0.59,others,559960,2020 -Caatinga,BAHIA,barra,0.19,agriculture,139778,2020 -Caatinga,BAHIA,barra,18.44,others,139778,2020 -Cerrado,BAHIA,santa rita de cássia,27.19,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,15.58,agriculture,790814,2020 -Cerrado,BAHIA,correntina,0.48,agriculture,1060525,2020 -Cerrado,BAHIA,correntina,1.28,agriculture,1060525,2020 -Cerrado,BAHIA,santa rita de cássia,1.63,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,3.5,urban_expansion,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,5.25,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,3.92,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,4.97,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,5.98,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,16.71,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,12.59,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,7.5,agriculture,859509,2020 -Cerrado,BAHIA,cocos,21.56,agriculture,1218387,2020 -Cerrado,BAHIA,cocos,6.24,agriculture,1218387,2020 -Cerrado,BAHIA,cocos,0.15,agriculture,1218387,2020 -Cerrado,BAHIA,barreiras,173.69,agriculture,958306,2021 -Cerrado,BAHIA,luís eduardo magalhães,825.56,agriculture,654262,2021 -Mata Atlântica,BAHIA,itarantim,12.15,agriculture,10405,2021 -Cerrado,BAHIA,formosa do rio preto,17.78,agriculture,2299737,2021 -Caatinga,BAHIA,barra,4.94,urban_expansion,79058,2021 -Caatinga,BAHIA,barra,20.66,others,79058,2021 -Caatinga,BAHIA,cotegipe,4.6,agriculture,292547,2021 -Cerrado,BAHIA,barreiras,133.26,agriculture,958306,2021 -Cerrado,BAHIA,formosa do rio preto,415.33,agriculture,2299737,2021 -Caatinga,BAHIA,santa rita de cássia,6.73,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,56.72,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,12.65,agriculture,292547,2021 -Cerrado,BAHIA,baianópolis,23.89,agriculture,1700892,2021 -Cerrado,BAHIA,cocos,25.34,agriculture,1229644,2021 -Cerrado,BAHIA,luís eduardo magalhães,87.72,agriculture,654262,2021 -Cerrado,BAHIA,formosa do rio preto,6.78,agriculture,2299737,2021 -Mata Atlântica,BAHIA,iguaí,3.0,agriculture,277970,2022 -Mata Atlântica,BAHIA,dário meira,0.69,agriculture,217077,2022 -Cerrado,BAHIA,são desidério,175.94,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,88.01,agriculture,2729422,2022 -Cerrado,BAHIA,riachão das neves,36.29,agriculture,670183,2022 -Cerrado,BAHIA,correntina,93.58,agriculture,1473135,2022 -Cerrado,BAHIA,riachão das neves,114.11,agriculture,670183,2022 -Cerrado,BAHIA,santa rita de cássia,14.1,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,42.41,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,434.09,agriculture,569631,2022 -Mata Atlântica,BAHIA,itagibá,22.62,agriculture,288483,2022 -Mata Atlântica,BAHIA,maraú,1.1,agriculture,275953,2022 -Cerrado,BAHIA,correntina,6.97,urban_expansion,1473135,2022 -Cerrado,BAHIA,são desidério,1.04,agriculture,2729422,2022 -Cerrado,BAHIA,formosa do rio preto,10.89,agriculture,2432263,2022 -Cerrado,BAHIA,barreiras,831.76,agriculture,996163,2022 -Cerrado,BAHIA,formosa do rio preto,428.29,agriculture,2432263,2022 -Cerrado,BAHIA,baianópolis,11.11,agriculture,413632,2022 -Caatinga,BAHIA,correntina,12.29,others,1473135,2022 -Cerrado,BAHIA,são desidério,198.85,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,177.29,agriculture,2729422,2022 -Cerrado,BAHIA,barreiras,191.57,agriculture,1568927,2019 -Mata Atlântica,BAHIA,encruzilhada,18.16,agriculture,403895,2019 -Mata Atlântica,BAHIA,belmonte,25.92,agriculture,390403,2019 -Cerrado,BAHIA,riachão das neves,3.41,agriculture,580173,2019 -Caatinga,BAHIA,santa rita de cássia,2.27,agriculture,694797,2019 -Mata Atlântica,BAHIA,belmonte,27.48,agriculture,390403,2019 -Cerrado,BAHIA,formosa do rio preto,134.4,agriculture,4220327,2019 -Cerrado,BAHIA,cotegipe,3.06,agriculture,331163,2019 -Cerrado,BAHIA,baianópolis,12.58,agriculture,607436,2019 -Mata Atlântica,BAHIA,jequié,2.68,agriculture,249169,2019 -Cerrado,BAHIA,são desidério,21.26,agriculture,2024107,2019 -Cerrado,BAHIA,barreiras,359.4,agriculture,1568927,2019 -Cerrado,BAHIA,são desidério,5.99,agriculture,2024107,2019 -Cerrado,BAHIA,cocos,13.36,agriculture,959394,2019 -Cerrado,BAHIA,santa rita de cássia,54.0,agriculture,694797,2019 -Mata Atlântica,BAHIA,camamu,10.59,agriculture,221471,2019 -Mata Atlântica,BAHIA,ilhéus,1.75,agriculture,158872,2019 -Mata Atlântica,BAHIA,guaratinga,1.36,agriculture,211708,2019 -Cerrado,BAHIA,riachão das neves,24.84,agriculture,1085054,2020 -Caatinga,BAHIA,correntina,17.88,agriculture,1060525,2020 -Cerrado,BAHIA,são desidério,3.23,agriculture,3091203,2020 -Cerrado,BAHIA,luís eduardo magalhães,920.13,agriculture,1523413,2020 -Cerrado,BAHIA,são desidério,67.3,agriculture,3091203,2020 -Cerrado,BAHIA,cocos,7.44,agriculture,1218387,2020 -Cerrado,BAHIA,luís eduardo magalhães,523.75,agriculture,1523413,2020 -Mata Atlântica,BAHIA,nilo peçanha,2.76,agriculture,154625,2020 -Mata Atlântica,BAHIA,encruzilhada,2.54,agriculture,451620,2020 -Cerrado,BAHIA,baianópolis,13.7,agriculture,790814,2020 -Cerrado,BAHIA,correntina,247.35,agriculture,1060525,2020 -Cerrado,BAHIA,barreiras,8.52,agriculture,1179766,2020 -Cerrado,BAHIA,formosa do rio preto,105.51,agriculture,3073766,2020 -Caatinga,BAHIA,cotegipe,9.73,agriculture,559960,2020 -Caatinga,BAHIA,santa rita de cássia,148.31,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,43.76,agriculture,790814,2020 -Caatinga,BAHIA,barra,53.07,agriculture,139778,2020 -Cerrado,BAHIA,santa rita de cássia,11.6,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,7.18,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,26.95,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,16.51,agriculture,2299737,2021 -Mata Atlântica,BAHIA,encruzilhada,7.87,agriculture,587315,2021 -Caatinga,BAHIA,cotegipe,3.62,agriculture,292547,2021 -Cerrado,BAHIA,são desidério,381.51,agriculture,3159579,2021 -Cerrado,BAHIA,santa rita de cássia,12.3,agriculture,998700,2021 -Cerrado,BAHIA,formosa do rio preto,2.2,agriculture,2299737,2021 -Cerrado,BAHIA,baianópolis,3.81,agriculture,1700892,2021 -Caatinga,BAHIA,santa rita de cássia,7.67,agriculture,998700,2021 -Cerrado,BAHIA,luís eduardo magalhães,0.88,agriculture,654262,2021 -Cerrado,BAHIA,baianópolis,420.73,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,50.71,agriculture,1700892,2021 -Caatinga,BAHIA,santa rita de cássia,5.35,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,5.28,others,292547,2021 -Caatinga,BAHIA,jaborandi,1.69,agriculture,1744004,2020 -Cerrado,BAHIA,formosa do rio preto,26.79,agriculture,3073766,2020 -Cerrado,BAHIA,são desidério,7.62,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,75.39,agriculture,3091203,2020 -Cerrado,BAHIA,luís eduardo magalhães,7.4,agriculture,1523413,2020 -Caatinga,BAHIA,santa rita de cássia,4.3,agriculture,859509,2020 -Caatinga,BAHIA,barra,2.7,agriculture,139778,2020 -Caatinga,BAHIA,barra,4.99,agriculture,139778,2020 -Cerrado,BAHIA,cotegipe,12.95,agriculture,559960,2020 -Cerrado,BAHIA,são desidério,1.07,agriculture,3091203,2020 -Cerrado,BAHIA,baianópolis,2.21,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,0.75,agriculture,790814,2020 -Cerrado,BAHIA,formosa do rio preto,15.33,agriculture,3073766,2020 -Cerrado,BAHIA,riachão das neves,11.41,agriculture,1085054,2020 -Cerrado,BAHIA,barreiras,0.35,agriculture,1179766,2020 -Cerrado,BAHIA,luís eduardo magalhães,0.74,agriculture,1523413,2020 -Cerrado,BAHIA,formosa do rio preto,2.99,agriculture,3073766,2020 -Cerrado,BAHIA,riachão das neves,12.72,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,13.3,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,55.54,agriculture,859509,2020 -Cerrado,BAHIA,cocos,6.18,agriculture,1218387,2020 -Cerrado,BAHIA,cocos,2.01,agriculture,1218387,2020 -Cerrado,BAHIA,baianópolis,68.51,agriculture,1700892,2021 -Cerrado,BAHIA,santa rita de cássia,0.79,agriculture,998700,2021 -Cerrado,BAHIA,jaborandi,1.01,agriculture,2051920,2021 -Cerrado,BAHIA,santa rita de cássia,169.65,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,29.25,others,292547,2021 -Cerrado,BAHIA,formosa do rio preto,330.05,agriculture,2299737,2021 -Cerrado,BAHIA,jaborandi,3.8,agriculture,2051920,2021 -Mata Atlântica,BAHIA,encruzilhada,19.66,agriculture,587315,2021 -Mata Atlântica,BAHIA,encruzilhada,2.01,agriculture,587315,2021 -Cerrado,BAHIA,riachão das neves,41.2,agriculture,761963,2021 -Cerrado,BAHIA,riachão das neves,19.3,agriculture,761963,2021 -Caatinga,BAHIA,cocos,23.93,others,1229644,2021 -Cerrado,BAHIA,cocos,62.8,agriculture,1229644,2021 -Cerrado,BAHIA,santa rita de cássia,88.31,agriculture,998700,2021 -Cerrado,BAHIA,baianópolis,107.16,agriculture,1700892,2021 -Caatinga,BAHIA,jaborandi,29.62,agriculture,2051920,2021 -Cerrado,BAHIA,barreiras,70.11,agriculture,996163,2022 -Cerrado,BAHIA,são desidério,147.86,agriculture,2729422,2022 -Cerrado,BAHIA,riachão das neves,15.19,agriculture,670183,2022 -Caatinga,BAHIA,barra,1.26,others,312169,2022 -Cerrado,BAHIA,são desidério,15.78,agriculture,2729422,2022 -Mata Atlântica,BAHIA,ibirapitanga,3.17,agriculture,292758,2022 -Cerrado,BAHIA,santa rita de cássia,12.1,agriculture,569631,2022 -Cerrado,BAHIA,jaborandi,111.66,agriculture,1706967,2019 -Cerrado,BAHIA,cocos,261.27,agriculture,959394,2019 -Cerrado,BAHIA,jaborandi,22.44,agriculture,1706967,2019 -Cerrado,BAHIA,jaborandi,10.04,agriculture,1706967,2019 -Cerrado,BAHIA,são desidério,226.2,agriculture,2024107,2019 -Cerrado,BAHIA,santa rita de cássia,9.95,agriculture,694797,2019 -Cerrado,BAHIA,barreiras,20.32,agriculture,1568927,2019 -Cerrado,BAHIA,correntina,835.83,agriculture,1545572,2019 -Cerrado,BAHIA,luís eduardo magalhães,42.13,urban_expansion,800435,2019 -Cerrado,BAHIA,barreiras,179.78,agriculture,1568927,2019 -Cerrado,BAHIA,formosa do rio preto,11.79,agriculture,4220327,2019 -Cerrado,BAHIA,formosa do rio preto,13.05,agriculture,4220327,2019 -Cerrado,BAHIA,santa rita de cássia,53.86,agriculture,694797,2019 -Cerrado,BAHIA,santa rita de cássia,120.66,agriculture,694797,2019 -Cerrado,BAHIA,são desidério,11.7,agriculture,2024107,2019 -Mata Atlântica,BAHIA,nilo peçanha,3.62,agriculture,90276,2019 -Mata Atlântica,BAHIA,valença,3.81,agriculture,247673,2019 -Cerrado,BAHIA,luís eduardo magalhães,900.81,agriculture,1523413,2020 -Cerrado,BAHIA,luís eduardo magalhães,741.18,agriculture,1523413,2020 -Cerrado,BAHIA,luís eduardo magalhães,12.33,agriculture,1523413,2020 -Cerrado,BAHIA,barreiras,211.76,agriculture,1179766,2020 -Cerrado,BAHIA,correntina,116.42,agriculture,1060525,2020 -Mata Atlântica,BAHIA,ilhéus,1.21,agriculture,191205,2020 -Mata Atlântica,BAHIA,camamu,7.51,agriculture,434741,2020 -Mata Atlântica,BAHIA,ibirapitanga,0.98,agriculture,296362,2020 -Mata Atlântica,BAHIA,iguaí,1.32,agriculture,127471,2020 -Mata Atlântica,BAHIA,encruzilhada,8.81,agriculture,451620,2020 -Cerrado,BAHIA,santa rita de cássia,9.01,agriculture,859509,2020 -Cerrado,BAHIA,cocos,9.23,agriculture,1218387,2020 -Cerrado,BAHIA,cocos,9.12,agriculture,1218387,2020 -Cerrado,BAHIA,cocos,3.43,agriculture,1218387,2020 -Cerrado,BAHIA,santa rita de cássia,6.64,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,83.52,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,64.05,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,7.58,agriculture,3091203,2020 -Caatinga,BAHIA,santa rita de cássia,18.17,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,8.42,agriculture,859509,2020 -Mata Atlântica,BAHIA,ilhéus,2.07,agriculture,191205,2020 -Cerrado,BAHIA,cocos,4.44,agriculture,1218387,2020 -Caatinga,BAHIA,santa rita de cássia,2.63,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,4.52,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,7.41,agriculture,790814,2020 -Cerrado,BAHIA,formosa do rio preto,422.66,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,9.81,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,9.53,agriculture,859509,2020 -Mata Atlântica,BAHIA,valença,4.76,agriculture,195332,2021 -Cerrado,BAHIA,formosa do rio preto,7.43,agriculture,2299737,2021 -Cerrado,BAHIA,jaborandi,11.52,agriculture,2051920,2021 -Caatinga,BAHIA,santa rita de cássia,8.23,agriculture,998700,2021 -Cerrado,BAHIA,correntina,144.44,agriculture,1585476,2021 -Mata Atlântica,BAHIA,igrapiúna,2.06,agriculture,148621,2021 -Cerrado,BAHIA,jaborandi,627.72,agriculture,2051920,2021 -Cerrado,BAHIA,santa rita de cássia,16.52,agriculture,998700,2021 -Cerrado,BAHIA,santa rita de cássia,92.67,agriculture,998700,2021 -Mata Atlântica,BAHIA,valença,4.56,agriculture,195332,2021 -Mata Atlântica,BAHIA,ilhéus,3.91,agriculture,131715,2021 -Caatinga,BAHIA,barra,1.32,others,79058,2021 -Cerrado,BAHIA,riachão das neves,1035.72,agriculture,761963,2021 -Caatinga,BAHIA,barra,1.25,agriculture,79058,2021 -Cerrado,BAHIA,formosa do rio preto,1709.23,agriculture,2299737,2021 -Caatinga,BAHIA,santa rita de cássia,4.26,agriculture,998700,2021 -Cerrado,BAHIA,correntina,745.12,agriculture,1585476,2021 -Mata Atlântica,BAHIA,belmonte,2.64,agriculture,331485,2021 -Mata Atlântica,BAHIA,ibicuí,1.95,agriculture,27800,2021 -Caatinga,BAHIA,barra,0.28,others,139778,2020 -Caatinga,BAHIA,cotegipe,1.58,agriculture,559960,2020 -Caatinga,BAHIA,barra,1.88,agriculture,139778,2020 -Caatinga,BAHIA,santa rita de cássia,5.22,agriculture,859509,2020 -Caatinga,BAHIA,jaborandi,5.04,agriculture,1744004,2020 -Cerrado,BAHIA,correntina,1.1,agriculture,1060525,2020 -Cerrado,BAHIA,correntina,9.11,agriculture,1060525,2020 -Caatinga,BAHIA,correntina,0.69,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,2.86,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,3.51,others,859509,2020 -Cerrado,BAHIA,formosa do rio preto,20.86,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,6.28,agriculture,3073766,2020 -Cerrado,BAHIA,barreiras,3.04,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,5.77,agriculture,1085054,2020 -Cerrado,BAHIA,riachão das neves,16.15,agriculture,1085054,2020 -Cerrado,BAHIA,formosa do rio preto,2.21,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,2.0,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,0.51,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,16.53,agriculture,859509,2020 -Cerrado,BAHIA,cocos,0.81,agriculture,1218387,2020 -Cerrado,BAHIA,correntina,53.06,agriculture,1585476,2021 -Cerrado,BAHIA,baianópolis,103.08,agriculture,1700892,2021 -Cerrado,BAHIA,cotegipe,18.29,agriculture,292547,2021 -Mata Atlântica,BAHIA,ibirapitanga,8.17,agriculture,72436,2021 -Cerrado,BAHIA,cocos,58.26,agriculture,1229644,2021 -Cerrado,BAHIA,correntina,200.51,agriculture,1585476,2021 -Caatinga,BAHIA,santa rita de cássia,1.76,agriculture,998700,2021 -Mata Atlântica,BAHIA,encruzilhada,4.28,agriculture,587315,2021 -Caatinga,BAHIA,santa rita de cássia,8.35,agriculture,998700,2021 -Cerrado,BAHIA,riachão das neves,241.66,agriculture,761963,2021 -Caatinga,BAHIA,santa rita de cássia,5.94,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,2.13,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,12.56,agriculture,998700,2021 -Cerrado,BAHIA,cotegipe,212.93,agriculture,292547,2021 -Cerrado,BAHIA,baianópolis,9.04,agriculture,1700892,2021 -Cerrado,BAHIA,são desidério,28.18,agriculture,3159579,2021 -Cerrado,BAHIA,formosa do rio preto,37.9,agriculture,2299737,2021 -Cerrado,BAHIA,santa rita de cássia,38.44,agriculture,998700,2021 -Mata Atlântica,BAHIA,encruzilhada,1.53,agriculture,414662,2022 -Cerrado,BAHIA,santa rita de cássia,249.28,agriculture,569631,2022 -Cerrado,BAHIA,correntina,580.44,agriculture,1473135,2022 -Cerrado,BAHIA,formosa do rio preto,22.34,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,37.39,agriculture,569631,2022 -Cerrado,BAHIA,riachão das neves,930.62,agriculture,670183,2022 -Cerrado,BAHIA,formosa do rio preto,373.0,agriculture,2432263,2022 -Cerrado,BAHIA,barreiras,289.89,agriculture,996163,2022 -Cerrado,BAHIA,riachão das neves,19.97,agriculture,670183,2022 -Cerrado,BAHIA,santa rita de cássia,12.66,agriculture,569631,2022 -Mata Atlântica,BAHIA,encruzilhada,2.83,agriculture,414662,2022 -Mata Atlântica,BAHIA,valença,0.66,agriculture,378871,2022 -Mata Atlântica,BAHIA,itapetinga,6.03,agriculture,285382,2022 -Cerrado,BAHIA,riachão das neves,10.73,agriculture,670183,2022 -Cerrado,BAHIA,riachão das neves,64.32,agriculture,670183,2022 -Cerrado,BAHIA,barreiras,3.04,agriculture,996163,2022 -Cerrado,BAHIA,são desidério,271.56,agriculture,2729422,2022 -Caatinga,BAHIA,jaborandi,17.06,agriculture,1706967,2019 -Mata Atlântica,BAHIA,belmonte,8.62,agriculture,390403,2019 -Cerrado,BAHIA,cotegipe,531.73,agriculture,331163,2019 -Caatinga,BAHIA,santa rita de cássia,6.97,agriculture,694797,2019 -Cerrado,BAHIA,barreiras,40.64,agriculture,1568927,2019 -Cerrado,BAHIA,correntina,598.95,agriculture,1545572,2019 -Caatinga,BAHIA,santa rita de cássia,22.67,agriculture,694797,2019 -Cerrado,BAHIA,cocos,12.15,agriculture,959394,2019 -Cerrado,BAHIA,luís eduardo magalhães,7.38,urban_expansion,800435,2019 -Caatinga,BAHIA,santa rita de cássia,4.47,agriculture,694797,2019 -Cerrado,BAHIA,barreiras,18.83,agriculture,1568927,2019 -Cerrado,BAHIA,formosa do rio preto,741.04,agriculture,4220327,2019 -Cerrado,BAHIA,correntina,664.73,agriculture,1545572,2019 -Cerrado,BAHIA,jaborandi,19.6,agriculture,1706967,2019 -Cerrado,BAHIA,barreiras,2.65,agriculture,1568927,2019 -Cerrado,BAHIA,santa rita de cássia,0.37,agriculture,694797,2019 -Cerrado,BAHIA,formosa do rio preto,40.85,agriculture,4220327,2019 -Cerrado,BAHIA,cocos,124.54,agriculture,959394,2019 -Cerrado,BAHIA,luís eduardo magalhães,8.0,agriculture,800435,2019 -Mata Atlântica,BAHIA,jequié,16.18,agriculture,249169,2019 -Cerrado,BAHIA,luís eduardo magalhães,83.28,agriculture,1523413,2020 -Cerrado,BAHIA,são desidério,462.88,agriculture,3091203,2020 -Cerrado,BAHIA,correntina,5.99,agriculture,1060525,2020 -Mata Atlântica,BAHIA,ilhéus,0.57,agriculture,191205,2020 -Mata Atlântica,BAHIA,camamu,1.68,agriculture,434741,2020 -Mata Atlântica,BAHIA,valença,1.85,agriculture,427637,2020 -Cerrado,BAHIA,baianópolis,11.6,agriculture,790814,2020 -Cerrado,BAHIA,santa rita de cássia,10.23,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,55.76,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,379.49,agriculture,1179766,2020 -Caatinga,BAHIA,correntina,1.92,agriculture,1060525,2020 -Cerrado,BAHIA,santa rita de cássia,4.64,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,2.71,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,2.45,agriculture,859509,2020 -Cerrado,BAHIA,cocos,8.93,agriculture,1218387,2020 -Cerrado,BAHIA,correntina,3.67,agriculture,1060525,2020 -Mata Atlântica,BAHIA,iguaí,5.51,agriculture,127471,2020 -Caatinga,BAHIA,santa rita de cássia,4.27,agriculture,859509,2020 -Cerrado,BAHIA,correntina,17.76,agriculture,1060525,2020 -Cerrado,BAHIA,santa rita de cássia,27.41,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,52.77,agriculture,559960,2020 -Mata Atlântica,BAHIA,ibirapitanga,1.21,agriculture,296362,2020 -Caatinga,BAHIA,cotegipe,7.34,agriculture,559960,2020 -Mata Atlântica,BAHIA,guaratinga,2.14,agriculture,171742,2021 -Cerrado,BAHIA,cotegipe,30.84,agriculture,292547,2021 -Caatinga,BAHIA,santa rita de cássia,5.62,agriculture,998700,2021 -Cerrado,BAHIA,formosa do rio preto,146.8,agriculture,2299737,2021 -Cerrado,BAHIA,cotegipe,2.23,agriculture,292547,2021 -Cerrado,BAHIA,barreiras,1.83,urban_expansion,958306,2021 -Cerrado,BAHIA,baianópolis,24.23,agriculture,1700892,2021 -Cerrado,BAHIA,cocos,4.31,agriculture,1229644,2021 -Caatinga,BAHIA,barra,1.19,others,139778,2020 -Cerrado,BAHIA,cotegipe,1.61,agriculture,559960,2020 -Cerrado,BAHIA,barreiras,5.28,agriculture,1179766,2020 -Cerrado,BAHIA,são desidério,2.08,agriculture,3091203,2020 -Cerrado,BAHIA,baianópolis,3.35,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,16.95,agriculture,790814,2020 -Cerrado,BAHIA,são desidério,1.19,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,5.98,agriculture,3091203,2020 -Caatinga,BAHIA,barra,0.91,others,139778,2020 -Cerrado,BAHIA,baianópolis,1.0,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,6.9,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,3.94,agriculture,790814,2020 -Cerrado,BAHIA,santa rita de cássia,1.21,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,5.93,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,5.1,agriculture,3073766,2020 -Caatinga,BAHIA,santa rita de cássia,3.11,others,859509,2020 -Cerrado,BAHIA,barreiras,2.47,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,9.08,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,4.97,others,859509,2020 -Caatinga,BAHIA,cocos,1.61,others,1218387,2020 -Caatinga,BAHIA,cocos,0.61,others,1218387,2020 -Cerrado,BAHIA,barreiras,77.2,others,958306,2021 -Caatinga,BAHIA,santa rita de cássia,256.61,others,998700,2021 -Cerrado,BAHIA,baianópolis,1253.39,agriculture,1700892,2021 -Cerrado,BAHIA,barreiras,2.71,agriculture,958306,2021 -Cerrado,BAHIA,são desidério,10.54,agriculture,3159579,2021 -Mata Atlântica,BAHIA,iguaí,6.34,agriculture,155962,2021 -Cerrado,BAHIA,cotegipe,13.01,agriculture,292547,2021 -Cerrado,BAHIA,cotegipe,15.74,agriculture,292547,2021 -Cerrado,BAHIA,são desidério,323.11,agriculture,3159579,2021 -Cerrado,BAHIA,são desidério,21.85,agriculture,3159579,2021 -Caatinga,BAHIA,santa rita de cássia,29.34,agriculture,998700,2021 -Cerrado,BAHIA,riachão das neves,32.84,agriculture,761963,2021 -Mata Atlântica,BAHIA,encruzilhada,3.39,agriculture,414662,2022 -Mata Atlântica,BAHIA,iguaí,6.75,agriculture,277970,2022 -Mata Atlântica,BAHIA,encruzilhada,5.21,agriculture,414662,2022 -Cerrado,BAHIA,são desidério,103.59,agriculture,2729422,2022 -Cerrado,BAHIA,jaborandi,869.73,agriculture,1734316,2022 -Cerrado,BAHIA,são desidério,153.3,agriculture,2729422,2022 -Cerrado,BAHIA,correntina,735.63,agriculture,1473135,2022 -Cerrado,BAHIA,barreiras,30.58,agriculture,996163,2022 -Cerrado,BAHIA,jaborandi,17.06,agriculture,1734316,2022 -Cerrado,BAHIA,santa rita de cássia,2.68,agriculture,569631,2022 -Mata Atlântica,BAHIA,camamu,0.36,agriculture,232571,2022 -Mata Atlântica,BAHIA,camamu,0.31,agriculture,232571,2022 -Cerrado,BAHIA,são desidério,1606.64,agriculture,2729422,2022 -Cerrado,BAHIA,baianópolis,12.44,agriculture,413632,2022 -Cerrado,BAHIA,barreiras,10.6,agriculture,996163,2022 -Cerrado,BAHIA,santa rita de cássia,2.39,agriculture,569631,2022 -Cerrado,BAHIA,são desidério,6.09,agriculture,2729422,2022 -Caatinga,BAHIA,barra,6.35,others,312169,2022 -Cerrado,BAHIA,cocos,127.25,agriculture,367625,2022 -Caatinga,BAHIA,barra,0.81,others,312169,2022 -Caatinga,BAHIA,jaborandi,2.62,others,1734316,2022 -Caatinga,BAHIA,barra,2.23,others,312169,2022 -Mata Atlântica,BAHIA,ilhéus,4.59,others,209209,2022 -Cerrado,BAHIA,formosa do rio preto,7.22,agriculture,2432263,2022 -Cerrado,BAHIA,jaborandi,645.02,agriculture,1706967,2019 -Cerrado,BAHIA,baianópolis,22.99,agriculture,607436,2019 -Cerrado,BAHIA,riachão das neves,3.86,agriculture,580173,2019 -Cerrado,BAHIA,correntina,11.95,agriculture,1545572,2019 -Mata Atlântica,BAHIA,ilhéus,2.09,agriculture,158872,2019 -Mata Atlântica,BAHIA,itagibá,7.65,agriculture,121675,2019 -Cerrado,BAHIA,luís eduardo magalhães,8.11,agriculture,800435,2019 -Cerrado,BAHIA,barreiras,8.66,agriculture,1568927,2019 -Cerrado,BAHIA,formosa do rio preto,409.9,agriculture,4220327,2019 -Cerrado,BAHIA,formosa do rio preto,15.82,agriculture,4220327,2019 -Cerrado,BAHIA,barreiras,0.34,agriculture,1568927,2019 -Cerrado,BAHIA,cotegipe,55.24,agriculture,331163,2019 -Cerrado,BAHIA,riachão das neves,330.45,agriculture,580173,2019 -Cerrado,BAHIA,formosa do rio preto,197.54,agriculture,4220327,2019 -Caatinga,BAHIA,santa rita de cássia,6.14,agriculture,694797,2019 -Caatinga,BAHIA,barra,26.94,agriculture,226011,2019 -Mata Atlântica,BAHIA,belmonte,7.09,agriculture,390403,2019 -Mata Atlântica,BAHIA,itambé,5.39,agriculture,100107,2019 -Mata Atlântica,BAHIA,valença,4.82,agriculture,247673,2019 -Cerrado,BAHIA,correntina,113.3,agriculture,1060525,2020 -Cerrado,BAHIA,correntina,25.66,agriculture,1060525,2020 -Mata Atlântica,BAHIA,camamu,2.19,agriculture,434741,2020 -Mata Atlântica,BAHIA,ibirapitanga,5.23,agriculture,296362,2020 -Mata Atlântica,BAHIA,itagibá,0.67,agriculture,72102,2020 -Caatinga,BAHIA,jequié,4.56,agriculture,186265,2020 -Cerrado,BAHIA,baianópolis,42.0,agriculture,790814,2020 -Caatinga,BAHIA,cotegipe,76.55,agriculture,559960,2020 -Caatinga,BAHIA,cotegipe,5.43,agriculture,559960,2020 -Mata Atlântica,BAHIA,encruzilhada,22.08,agriculture,451620,2020 -Cerrado,BAHIA,são desidério,5.07,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,298.01,agriculture,3091203,2020 -Cerrado,BAHIA,baianópolis,3.9,agriculture,790814,2020 -Cerrado,BAHIA,cocos,6.05,agriculture,1218387,2020 -Cerrado,BAHIA,barreiras,34.18,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,4.35,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,1.34,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,4.35,agriculture,790814,2020 -Mata Atlântica,BAHIA,iguaí,35.42,agriculture,127471,2020 -Mata Atlântica,BAHIA,camamu,0.67,agriculture,434741,2020 -Cerrado,BAHIA,baianópolis,13.17,agriculture,790814,2020 -Mata Atlântica,BAHIA,ilhéus,1.67,agriculture,191205,2020 -Mata Atlântica,BAHIA,nilo peçanha,1.39,agriculture,59568,2021 -Mata Atlântica,BAHIA,nilo peçanha,1.23,agriculture,59568,2021 -Cerrado,BAHIA,correntina,11.69,agriculture,1585476,2021 -Cerrado,BAHIA,riachão das neves,3.18,agriculture,761963,2021 -Cerrado,BAHIA,formosa do rio preto,6.06,agriculture,2299737,2021 -Cerrado,BAHIA,são desidério,2.51,agriculture,3159579,2021 -Cerrado,BAHIA,baianópolis,4.12,agriculture,1700892,2021 -Caatinga,BAHIA,cotegipe,14.21,agriculture,292547,2021 -Caatinga,BAHIA,santa rita de cássia,5.12,agriculture,998700,2021 -Mata Atlântica,BAHIA,belmonte,6.55,agriculture,331485,2021 -Mata Atlântica,BAHIA,encruzilhada,12.2,agriculture,587315,2021 -Cerrado,BAHIA,luís eduardo magalhães,1.46,agriculture,1523413,2020 -Cerrado,BAHIA,correntina,12.24,agriculture,1060525,2020 -Cerrado,BAHIA,jaborandi,1.27,agriculture,1744004,2020 -Cerrado,BAHIA,barreiras,5.42,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,5.69,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,5.33,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,4.63,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,2.3,agriculture,859509,2020 -Caatinga,BAHIA,barra,3.42,agriculture,139778,2020 -Caatinga,BAHIA,santa rita de cássia,10.96,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,19.53,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,4.53,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,1.25,others,859509,2020 -Caatinga,BAHIA,cotegipe,1.87,agriculture,559960,2020 -Caatinga,BAHIA,santa rita de cássia,1.1,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,2.4,agriculture,3091203,2020 -Cerrado,BAHIA,jaborandi,6.79,agriculture,1744004,2020 -Cerrado,BAHIA,baianópolis,3.71,agriculture,790814,2020 -Cerrado,BAHIA,correntina,0.62,agriculture,1060525,2020 -Cerrado,BAHIA,santa rita de cássia,8.87,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,1.04,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,6.02,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,0.45,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,9.65,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,2.14,agriculture,859509,2020 -Caatinga,BAHIA,cocos,7.39,others,1218387,2020 -Cerrado,BAHIA,riachão das neves,9.86,agriculture,761963,2021 -Caatinga,BAHIA,jaborandi,9.13,agriculture,2051920,2021 -Cerrado,BAHIA,barreiras,114.2,agriculture,958306,2021 -Caatinga,BAHIA,jaborandi,20.93,agriculture,2051920,2021 -Cerrado,BAHIA,santa rita de cássia,9.45,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,89.06,others,998700,2021 -Mata Atlântica,BAHIA,belmonte,2.48,agriculture,331485,2021 -Cerrado,BAHIA,são desidério,1506.46,agriculture,3159579,2021 -Mata Atlântica,BAHIA,jequié,2.69,agriculture,163926,2021 -Cerrado,BAHIA,baianópolis,56.96,agriculture,1700892,2021 -Caatinga,BAHIA,barra,1.31,agriculture,79058,2021 -Caatinga,BAHIA,cotegipe,69.02,agriculture,292547,2021 -Mata Atlântica,BAHIA,itambé,11.3,agriculture,227632,2022 -Mata Atlântica,BAHIA,nilo peçanha,0.88,agriculture,238334,2022 -Cerrado,BAHIA,formosa do rio preto,1260.73,agriculture,2432263,2022 -Cerrado,BAHIA,barreiras,503.58,agriculture,996163,2022 -Cerrado,BAHIA,são desidério,84.98,agriculture,2729422,2022 -Cerrado,BAHIA,santa rita de cássia,5.82,agriculture,569631,2022 -Cerrado,BAHIA,são desidério,20.72,agriculture,2729422,2022 -Mata Atlântica,BAHIA,valença,0.72,agriculture,378871,2022 -Mata Atlântica,BAHIA,itagibá,9.24,agriculture,288483,2022 -Mata Atlântica,BAHIA,valença,0.56,agriculture,378871,2022 -Cerrado,BAHIA,baianópolis,5.64,agriculture,413632,2022 -Cerrado,BAHIA,baianópolis,18.65,agriculture,413632,2022 -Cerrado,BAHIA,santa rita de cássia,42.35,agriculture,569631,2022 -Caatinga,BAHIA,barra,25.38,agriculture,312169,2022 -Cerrado,BAHIA,são desidério,19.17,agriculture,2729422,2022 -Caatinga,BAHIA,barra,4.29,others,312169,2022 -Cerrado,BAHIA,luís eduardo magalhães,729.73,agriculture,343098,2022 -Cerrado,BAHIA,formosa do rio preto,98.87,agriculture,2432263,2022 -Mata Atlântica,BAHIA,camamu,0.89,agriculture,232571,2022 -Mata Atlântica,BAHIA,encruzilhada,0.92,agriculture,414662,2022 -Cerrado,BAHIA,barreiras,553.66,agriculture,1568927,2019 -Cerrado,BAHIA,barreiras,57.0,agriculture,1568927,2019 -Caatinga,BAHIA,jaborandi,31.69,agriculture,1706967,2019 -Cerrado,BAHIA,cocos,4.1,agriculture,959394,2019 -Caatinga,BAHIA,cotegipe,4.63,agriculture,331163,2019 -Cerrado,BAHIA,baianópolis,17.09,agriculture,607436,2019 -Cerrado,BAHIA,são desidério,1.84,agriculture,2024107,2019 -Cerrado,BAHIA,riachão das neves,174.75,agriculture,580173,2019 -Mata Atlântica,BAHIA,iguaí,2.58,agriculture,82227,2019 -Mata Atlântica,BAHIA,igrapiúna,1.41,agriculture,257694,2019 -Cerrado,BAHIA,santa rita de cássia,68.99,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,18.02,agriculture,3073766,2020 -Mata Atlântica,BAHIA,valença,2.66,agriculture,427637,2020 -Mata Atlântica,BAHIA,guaratinga,2.48,agriculture,251656,2020 -Mata Atlântica,BAHIA,encruzilhada,141.83,agriculture,451620,2020 -Cerrado,BAHIA,santa rita de cássia,45.69,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,5.15,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,153.9,agriculture,3091203,2020 -Mata Atlântica,BAHIA,valença,6.94,agriculture,427637,2020 -Cerrado,BAHIA,correntina,275.07,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,121.15,agriculture,790814,2020 -Cerrado,BAHIA,correntina,1.76,agriculture,1060525,2020 -Cerrado,BAHIA,santa rita de cássia,21.47,agriculture,859509,2020 -Cerrado,BAHIA,correntina,233.7,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,5.95,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,8.26,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,11.95,agriculture,559960,2020 -Cerrado,BAHIA,barreiras,6.8,agriculture,1179766,2020 -Caatinga,BAHIA,cotegipe,16.46,agriculture,559960,2020 -Cerrado,BAHIA,luís eduardo magalhães,3.52,agriculture,1523413,2020 -Cerrado,BAHIA,jaborandi,299.33,agriculture,1744004,2020 -Mata Atlântica,BAHIA,ibirapitanga,19.34,agriculture,296362,2020 -Cerrado,BAHIA,santa rita de cássia,18.87,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,14.04,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,11.05,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,16.33,agriculture,859509,2020 -Mata Atlântica,BAHIA,belmonte,4.17,agriculture,350558,2020 -Mata Atlântica,BAHIA,dário meira,4.19,agriculture,92504,2020 -Cerrado,BAHIA,riachão das neves,2.17,agriculture,1085054,2020 -Caatinga,BAHIA,barreiras,25.94,agriculture,958306,2021 -Cerrado,BAHIA,correntina,65.66,agriculture,1585476,2021 -Cerrado,BAHIA,formosa do rio preto,20.68,agriculture,2299737,2021 -Mata Atlântica,BAHIA,camamu,5.23,agriculture,163548,2021 -Cerrado,BAHIA,formosa do rio preto,627.77,agriculture,2299737,2021 -Mata Atlântica,BAHIA,ibirapitanga,1.29,agriculture,72436,2021 -Caatinga,BAHIA,santa rita de cássia,5.96,agriculture,998700,2021 -Cerrado,BAHIA,são desidério,2.61,agriculture,3159579,2021 -Cerrado,BAHIA,baianópolis,0.48,agriculture,1700892,2021 -Cerrado,BAHIA,correntina,33.34,agriculture,1585476,2021 -Caatinga,BAHIA,santa rita de cássia,1.48,others,998700,2021 -Caatinga,BAHIA,cocos,12.57,agriculture,1229644,2021 -Caatinga,BAHIA,cotegipe,38.59,others,559960,2020 -Caatinga,BAHIA,barra,0.57,agriculture,139778,2020 -Cerrado,BAHIA,baianópolis,1.65,agriculture,790814,2020 -Cerrado,BAHIA,são desidério,4.96,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,3.95,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,2.02,urban_expansion,3091203,2020 -Caatinga,BAHIA,barra,2.84,agriculture,139778,2020 -Caatinga,BAHIA,barra,1.48,others,139778,2020 -Caatinga,BAHIA,barra,2.06,others,139778,2020 -Cerrado,BAHIA,baianópolis,1.28,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,17.64,agriculture,790814,2020 -Caatinga,BAHIA,correntina,1.74,agriculture,1060525,2020 -Caatinga,BAHIA,barra,2.33,agriculture,139778,2020 -Cerrado,BAHIA,santa rita de cássia,2.1,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,32.5,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,2.78,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,11.49,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,4.42,agriculture,1085054,2020 -Cerrado,BAHIA,formosa do rio preto,9.88,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,4.59,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,10.73,others,859509,2020 -Cerrado,BAHIA,baianópolis,43.61,agriculture,1700892,2021 -Caatinga,BAHIA,jaborandi,7.12,agriculture,2051920,2021 -Cerrado,BAHIA,barreiras,10.84,agriculture,958306,2021 -Cerrado,BAHIA,barreiras,48.03,agriculture,958306,2021 -Mata Atlântica,BAHIA,dário meira,3.77,agriculture,101797,2021 -Cerrado,BAHIA,santa rita de cássia,60.41,agriculture,998700,2021 -Cerrado,BAHIA,santa rita de cássia,52.11,agriculture,998700,2021 -Cerrado,BAHIA,barreiras,365.01,agriculture,958306,2021 -Mata Atlântica,BAHIA,encruzilhada,7.8,agriculture,587315,2021 -Mata Atlântica,BAHIA,ilhéus,7.59,urban_expansion,131715,2021 -Caatinga,BAHIA,santa rita de cássia,11.9,agriculture,998700,2021 -Cerrado,BAHIA,barreiras,48.75,agriculture,958306,2021 -Caatinga,BAHIA,santa rita de cássia,7.76,agriculture,998700,2021 -Caatinga,BAHIA,barra,0.6,others,79058,2021 -Cerrado,BAHIA,correntina,624.46,agriculture,1585476,2021 -Cerrado,BAHIA,cocos,1517.48,agriculture,1229644,2021 -Cerrado,BAHIA,barreiras,18.27,agriculture,958306,2021 -Mata Atlântica,BAHIA,jequié,3.64,agriculture,498001,2022 -Mata Atlântica,BAHIA,belmonte,4.31,agriculture,354868,2022 -Mata Atlântica,BAHIA,dário meira,2.76,agriculture,217077,2022 -Cerrado,BAHIA,são desidério,352.47,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,158.45,agriculture,2729422,2022 -Cerrado,BAHIA,santa rita de cássia,103.42,agriculture,569631,2022 -Mata Atlântica,BAHIA,guaratinga,1.91,agriculture,243882,2022 -Mata Atlântica,BAHIA,encruzilhada,6.85,agriculture,414662,2022 -Cerrado,BAHIA,barreiras,296.51,agriculture,996163,2022 -Cerrado,BAHIA,riachão das neves,284.54,agriculture,670183,2022 -Cerrado,BAHIA,jaborandi,13.32,agriculture,1734316,2022 -Caatinga,BAHIA,barra,4.55,agriculture,312169,2022 -Caatinga,BAHIA,barra,4.03,others,312169,2022 -Cerrado,BAHIA,barreiras,24.17,agriculture,996163,2022 -Caatinga,BAHIA,cotegipe,6.84,others,297663,2022 -Cerrado,BAHIA,jaborandi,370.25,agriculture,1734316,2022 -Cerrado,BAHIA,são desidério,1082.13,agriculture,2729422,2022 -Cerrado,BAHIA,correntina,77.73,agriculture,1473135,2022 -Cerrado,BAHIA,formosa do rio preto,10.28,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,106.57,agriculture,569631,2022 -Cerrado,BAHIA,são desidério,105.16,agriculture,2729422,2022 -Cerrado,BAHIA,formosa do rio preto,32.52,agriculture,2432263,2022 -Cerrado,BAHIA,baianópolis,14.44,agriculture,413632,2022 -Cerrado,BAHIA,jaborandi,0.97,agriculture,1706967,2019 -Cerrado,BAHIA,correntina,9.55,agriculture,1545572,2019 -Caatinga,BAHIA,santa rita de cássia,25.55,agriculture,694797,2019 -Cerrado,BAHIA,cotegipe,21.95,agriculture,331163,2019 -Caatinga,BAHIA,santa rita de cássia,3.77,agriculture,694797,2019 -Caatinga,BAHIA,santa rita de cássia,1050.92,agriculture,694797,2019 -Caatinga,BAHIA,correntina,3.16,agriculture,1545572,2019 -Cerrado,BAHIA,santa rita de cássia,6.23,agriculture,694797,2019 -Cerrado,BAHIA,formosa do rio preto,117.02,agriculture,4220327,2019 -Caatinga,BAHIA,santa rita de cássia,4.22,agriculture,694797,2019 -Caatinga,BAHIA,santa rita de cássia,43.52,agriculture,694797,2019 -Cerrado,BAHIA,baianópolis,11.01,agriculture,607436,2019 -Cerrado,BAHIA,cocos,13.92,agriculture,959394,2019 -Cerrado,BAHIA,são desidério,282.0,agriculture,2024107,2019 -Mata Atlântica,BAHIA,maraú,5.14,agriculture,80207,2019 -Cerrado,BAHIA,formosa do rio preto,24.08,agriculture,3073766,2020 -Cerrado,BAHIA,barreiras,202.59,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,5.6,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,16.28,agriculture,1085054,2020 -Cerrado,BAHIA,formosa do rio preto,5084.77,agriculture,3073766,2020 -Mata Atlântica,BAHIA,camamu,1.59,agriculture,434741,2020 -Mata Atlântica,BAHIA,valença,19.9,agriculture,427637,2020 -Mata Atlântica,BAHIA,valença,3.13,agriculture,427637,2020 -Mata Atlântica,BAHIA,igrapiúna,2.18,agriculture,378236,2020 -Mata Atlântica,BAHIA,camamu,1.02,agriculture,434741,2020 -Mata Atlântica,BAHIA,nilo peçanha,0.89,agriculture,154625,2020 -Mata Atlântica,BAHIA,dário meira,22.62,agriculture,92504,2020 -Caatinga,BAHIA,cotegipe,8.53,agriculture,559960,2020 -Mata Atlântica,BAHIA,valença,2.49,agriculture,427637,2020 -Cerrado,BAHIA,são desidério,19.76,agriculture,3091203,2020 -Cerrado,BAHIA,santa rita de cássia,43.64,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,20.41,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,41.55,agriculture,3091203,2020 -Cerrado,BAHIA,formosa do rio preto,4.33,agriculture,3073766,2020 -Caatinga,BAHIA,jaborandi,2.85,agriculture,1744004,2020 -Caatinga,BAHIA,barra,70.03,agriculture,139778,2020 -Mata Atlântica,BAHIA,ilhéus,1.65,agriculture,191205,2020 -Caatinga,BAHIA,jaborandi,6.23,agriculture,1744004,2020 -Caatinga,BAHIA,santa rita de cássia,303.91,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,72.15,agriculture,1179766,2020 -Cerrado,BAHIA,formosa do rio preto,8.95,agriculture,3073766,2020 -Caatinga,BAHIA,cotegipe,28.21,agriculture,559960,2020 -Cerrado,BAHIA,baianópolis,4.6,agriculture,790814,2020 -Cerrado,BAHIA,barreiras,16.24,agriculture,1179766,2020 -Caatinga,BAHIA,santa rita de cássia,9.3,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,1.69,agriculture,1085054,2020 -Mata Atlântica,BAHIA,belmonte,11.35,agriculture,331485,2021 -Mata Atlântica,BAHIA,dário meira,2.19,agriculture,101797,2021 -Cerrado,BAHIA,cocos,131.8,agriculture,1229644,2021 -Cerrado,BAHIA,formosa do rio preto,9.46,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,5.84,agriculture,2299737,2021 -Caatinga,BAHIA,santa rita de cássia,6.62,agriculture,998700,2021 -Mata Atlântica,BAHIA,belmonte,5.04,agriculture,331485,2021 -Cerrado,BAHIA,barreiras,6.85,agriculture,958306,2021 -Caatinga,BAHIA,santa rita de cássia,30.23,agriculture,998700,2021 -Cerrado,BAHIA,jaborandi,418.99,agriculture,2051920,2021 -Mata Atlântica,BAHIA,iguaí,2.51,agriculture,155962,2021 -Cerrado,BAHIA,são desidério,21.63,agriculture,3159579,2021 -Cerrado,BAHIA,correntina,0.75,agriculture,1585476,2021 -Caatinga,BAHIA,cotegipe,9.57,agriculture,292547,2021 -Cerrado,BAHIA,riachão das neves,5.99,agriculture,761963,2021 -Cerrado,BAHIA,baianópolis,60.67,agriculture,1700892,2021 -Mata Atlântica,BAHIA,ilhéus,0.99,agriculture,131715,2021 -Cerrado,BAHIA,santa rita de cássia,1.2,others,998700,2021 -Cerrado,BAHIA,formosa do rio preto,2.4,agriculture,3073766,2020 -Cerrado,BAHIA,são desidério,2.95,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,1.82,agriculture,3091203,2020 -Caatinga,BAHIA,barra,1.33,agriculture,139778,2020 -Caatinga,BAHIA,barra,3.11,others,139778,2020 -Caatinga,BAHIA,cotegipe,1.02,others,559960,2020 -Caatinga,BAHIA,santa rita de cássia,1.58,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,5.74,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,7.31,others,559960,2020 -Caatinga,BAHIA,santa rita de cássia,1.11,others,859509,2020 -Cerrado,BAHIA,são desidério,10.98,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,11.44,agriculture,3091203,2020 -Cerrado,BAHIA,baianópolis,1.46,agriculture,790814,2020 -Cerrado,BAHIA,formosa do rio preto,1.5,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,3.06,agriculture,3073766,2020 -Caatinga,BAHIA,santa rita de cássia,2.73,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,30.96,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,12.77,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,8.25,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,5.07,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,9.56,agriculture,859509,2020 -Caatinga,BAHIA,cocos,2.5,others,1218387,2020 -Cerrado,BAHIA,santa rita de cássia,8.61,agriculture,859509,2020 -Caatinga,BAHIA,barra,2.97,agriculture,79058,2021 -Cerrado,BAHIA,santa rita de cássia,271.39,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,13.29,agriculture,998700,2021 -Caatinga,BAHIA,jaborandi,27.42,agriculture,2051920,2021 -Caatinga,BAHIA,jaborandi,6.53,agriculture,2051920,2021 -Caatinga,BAHIA,jaborandi,5.19,others,2051920,2021 -Cerrado,BAHIA,são desidério,240.61,agriculture,3159579,2021 -Cerrado,BAHIA,barreiras,16.67,agriculture,958306,2021 -Cerrado,BAHIA,formosa do rio preto,15.36,agriculture,2299737,2021 -Mata Atlântica,BAHIA,itagibá,31.32,agriculture,111453,2021 -Cerrado,BAHIA,santa rita de cássia,4.37,agriculture,998700,2021 -Mata Atlântica,BAHIA,camamu,3.68,agriculture,163548,2021 -Caatinga,BAHIA,santa rita de cássia,53.2,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,6.33,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,0.82,agriculture,998700,2021 -Cerrado,BAHIA,riachão das neves,29.13,agriculture,761963,2021 -Caatinga,BAHIA,cotegipe,13.87,agriculture,292547,2021 -Cerrado,BAHIA,barreiras,37.52,agriculture,958306,2021 -Caatinga,BAHIA,santa rita de cássia,3.07,agriculture,998700,2021 -Cerrado,BAHIA,correntina,6.63,agriculture,1585476,2021 -Caatinga,BAHIA,santa rita de cássia,3.08,agriculture,998700,2021 -Cerrado,BAHIA,santa rita de cássia,34.14,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,19.2,agriculture,998700,2021 -Mata Atlântica,BAHIA,itapetinga,5.23,agriculture,285382,2022 -Cerrado,BAHIA,barreiras,857.7,agriculture,996163,2022 -Cerrado,BAHIA,barreiras,674.92,agriculture,996163,2022 -Cerrado,BAHIA,luís eduardo magalhães,237.61,agriculture,343098,2022 -Cerrado,BAHIA,formosa do rio preto,155.52,agriculture,2432263,2022 -Mata Atlântica,BAHIA,encruzilhada,8.7,agriculture,414662,2022 -Caatinga,BAHIA,santa rita de cássia,38.67,others,569631,2022 -Cerrado,BAHIA,santa rita de cássia,6.02,agriculture,569631,2022 -Cerrado,BAHIA,riachão das neves,760.14,agriculture,670183,2022 -Mata Atlântica,BAHIA,itarantim,3.71,agriculture,203154,2022 -Mata Atlântica,BAHIA,ibirapitanga,0.75,agriculture,292758,2022 -Mata Atlântica,BAHIA,belmonte,3.22,agriculture,354868,2022 -Cerrado,BAHIA,correntina,35.78,agriculture,1473135,2022 -Caatinga,BAHIA,cocos,2.7,agriculture,367625,2022 -Caatinga,BAHIA,cotegipe,31.77,others,297663,2022 -Cerrado,BAHIA,formosa do rio preto,17.22,agriculture,2432263,2022 -Cerrado,BAHIA,são desidério,467.87,agriculture,2729422,2022 -Cerrado,BAHIA,santa rita de cássia,22.97,agriculture,569631,2022 -Mata Atlântica,BAHIA,guaratinga,0.33,agriculture,243882,2022 -Mata Atlântica,BAHIA,ilhéus,0.69,agriculture,209209,2022 -Cerrado,BAHIA,santa rita de cássia,202.59,agriculture,569631,2022 -Cerrado,BAHIA,santa rita de cássia,32.43,agriculture,694797,2019 -Cerrado,BAHIA,baianópolis,69.31,agriculture,607436,2019 -Mata Atlântica,BAHIA,valença,2.49,agriculture,247673,2019 -Cerrado,BAHIA,formosa do rio preto,867.02,agriculture,4220327,2019 -Caatinga,BAHIA,cocos,4.54,agriculture,959394,2019 -Cerrado,BAHIA,jaborandi,69.81,agriculture,1706967,2019 -Cerrado,BAHIA,baianópolis,14.66,agriculture,607436,2019 -Cerrado,BAHIA,jaborandi,800.15,agriculture,1706967,2019 -Cerrado,BAHIA,baianópolis,9.15,agriculture,607436,2019 -Cerrado,BAHIA,correntina,87.99,agriculture,1545572,2019 -Cerrado,BAHIA,são desidério,4.21,agriculture,2024107,2019 -Caatinga,BAHIA,jaborandi,14.88,agriculture,1706967,2019 -Cerrado,BAHIA,baianópolis,6.9,agriculture,607436,2019 -Cerrado,BAHIA,luís eduardo magalhães,31.56,agriculture,800435,2019 -Cerrado,BAHIA,barreiras,533.99,agriculture,1568927,2019 -Cerrado,BAHIA,cocos,33.24,agriculture,959394,2019 -Mata Atlântica,BAHIA,igrapiúna,0.9,agriculture,257694,2019 -Cerrado,BAHIA,formosa do rio preto,1637.13,agriculture,3073766,2020 -Mata Atlântica,BAHIA,camamu,1.16,agriculture,434741,2020 -Mata Atlântica,BAHIA,ilhéus,4.71,agriculture,191205,2020 -Mata Atlântica,BAHIA,nilo peçanha,18.08,agriculture,154625,2020 -Mata Atlântica,BAHIA,belmonte,2.85,agriculture,350558,2020 -Mata Atlântica,BAHIA,guaratinga,2.35,agriculture,251656,2020 -Mata Atlântica,BAHIA,encruzilhada,6.47,agriculture,451620,2020 -Caatinga,BAHIA,santa rita de cássia,29.32,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,50.61,agriculture,1179766,2020 -Mata Atlântica,BAHIA,valença,2.39,agriculture,427637,2020 -Cerrado,BAHIA,cotegipe,99.88,agriculture,559960,2020 -Caatinga,BAHIA,barra,131.65,agriculture,139778,2020 -Cerrado,BAHIA,são desidério,31.06,agriculture,3091203,2020 -Cerrado,BAHIA,santa rita de cássia,4.44,agriculture,859509,2020 -Mata Atlântica,BAHIA,ibirapitanga,2.63,agriculture,296362,2020 -Cerrado,BAHIA,riachão das neves,10.43,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,9.51,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,10.6,agriculture,859509,2020 -Mata Atlântica,BAHIA,guaratinga,13.93,agriculture,251656,2020 -Cerrado,BAHIA,santa rita de cássia,6.07,agriculture,859509,2020 -Mata Atlântica,BAHIA,ibirapitanga,3.39,agriculture,296362,2020 -Caatinga,BAHIA,santa rita de cássia,3.62,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,5.46,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,5.51,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,8.19,agriculture,559960,2020 -Caatinga,BAHIA,santa rita de cássia,1.61,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,750.04,agriculture,3073766,2020 -Cerrado,BAHIA,jaborandi,18.32,agriculture,1744004,2020 -Cerrado,BAHIA,santa rita de cássia,9.46,agriculture,859509,2020 -Mata Atlântica,BAHIA,encruzilhada,4.99,agriculture,451620,2020 -Caatinga,BAHIA,cotegipe,4.9,agriculture,559960,2020 -Cerrado,BAHIA,riachão das neves,5.59,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,5.17,agriculture,998700,2021 -Mata Atlântica,BAHIA,belmonte,11.32,agriculture,331485,2021 -Mata Atlântica,BAHIA,valença,2.85,agriculture,195332,2021 -Mata Atlântica,BAHIA,ibirapitanga,3.1,agriculture,72436,2021 -Caatinga,BAHIA,cocos,4.23,agriculture,1229644,2021 -Cerrado,BAHIA,formosa do rio preto,51.66,agriculture,2299737,2021 -Mata Atlântica,BAHIA,maraú,5.43,agriculture,103211,2021 -Cerrado,BAHIA,formosa do rio preto,287.25,agriculture,2299737,2021 -Mata Atlântica,BAHIA,encruzilhada,9.28,agriculture,587315,2021 -Mata Atlântica,BAHIA,encruzilhada,7.18,agriculture,587315,2021 -Cerrado,BAHIA,correntina,2.04,agriculture,1585476,2021 -Cerrado,BAHIA,correntina,2.3,agriculture,1585476,2021 -Cerrado,BAHIA,são desidério,9.37,agriculture,3159579,2021 -Cerrado,BAHIA,riachão das neves,36.14,agriculture,761963,2021 -Caatinga,BAHIA,cotegipe,18.3,agriculture,292547,2021 -Cerrado,BAHIA,barreiras,22.24,others,958306,2021 -Cerrado,BAHIA,santa rita de cássia,14.06,agriculture,998700,2021 -Caatinga,BAHIA,jaborandi,7.64,others,2051920,2021 -Cerrado,BAHIA,santa rita de cássia,17.05,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,1.45,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,1.67,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,1.91,agriculture,3091203,2020 -Cerrado,BAHIA,formosa do rio preto,7.91,agriculture,3073766,2020 -Cerrado,BAHIA,são desidério,1.11,agriculture,3091203,2020 -Caatinga,BAHIA,cotegipe,1.98,agriculture,559960,2020 -Caatinga,BAHIA,santa rita de cássia,8.56,others,859509,2020 -Caatinga,BAHIA,barra,1.07,others,139778,2020 -Cerrado,BAHIA,cotegipe,2.18,agriculture,559960,2020 -Caatinga,BAHIA,barra,2.57,agriculture,139778,2020 -Caatinga,BAHIA,barra,0.76,others,139778,2020 -Cerrado,BAHIA,cotegipe,2.34,agriculture,559960,2020 -Cerrado,BAHIA,cotegipe,30.03,agriculture,559960,2020 -Cerrado,BAHIA,correntina,2.11,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,1.96,agriculture,790814,2020 -Cerrado,BAHIA,formosa do rio preto,3.91,agriculture,3073766,2020 -Cerrado,BAHIA,barreiras,13.49,agriculture,1179766,2020 -Cerrado,BAHIA,riachão das neves,3.08,agriculture,1085054,2020 -Cerrado,BAHIA,formosa do rio preto,1.81,agriculture,3073766,2020 -Caatinga,BAHIA,santa rita de cássia,1.69,agriculture,859509,2020 -Cerrado,BAHIA,cocos,3.39,agriculture,1218387,2020 -Cerrado,BAHIA,baianópolis,31.43,agriculture,1700892,2021 -Caatinga,BAHIA,cotegipe,4.75,agriculture,292547,2021 -Caatinga,BAHIA,cocos,64.74,agriculture,1229644,2021 -Cerrado,BAHIA,luís eduardo magalhães,5.64,agriculture,654262,2021 -Caatinga,BAHIA,barra,61.31,agriculture,79058,2021 -Cerrado,BAHIA,santa rita de cássia,112.76,agriculture,998700,2021 -Cerrado,BAHIA,correntina,7.92,agriculture,1585476,2021 -Cerrado,BAHIA,são desidério,84.21,agriculture,3159579,2021 -Cerrado,BAHIA,riachão das neves,227.33,agriculture,761963,2021 -Caatinga,BAHIA,santa rita de cássia,0.91,others,998700,2021 -Caatinga,BAHIA,cotegipe,1.7,agriculture,292547,2021 -Cerrado,BAHIA,cocos,22.27,agriculture,1229644,2021 -Cerrado,BAHIA,santa rita de cássia,2.98,agriculture,998700,2021 -Cerrado,BAHIA,baianópolis,106.84,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,19.12,agriculture,1700892,2021 -Cerrado,BAHIA,correntina,306.89,agriculture,1585476,2021 -Cerrado,BAHIA,correntina,5.11,agriculture,1585476,2021 -Mata Atlântica,BAHIA,encruzilhada,11.58,agriculture,414662,2022 -Mata Atlântica,BAHIA,itapetinga,24.83,agriculture,285382,2022 -Mata Atlântica,BAHIA,encruzilhada,7.26,agriculture,414662,2022 -Mata Atlântica,BAHIA,encruzilhada,3.04,agriculture,414662,2022 -Cerrado,BAHIA,santa rita de cássia,112.6,agriculture,569631,2022 -Cerrado,BAHIA,são desidério,91.05,agriculture,2729422,2022 -Cerrado,BAHIA,baianópolis,133.52,agriculture,413632,2022 -Cerrado,BAHIA,riachão das neves,135.04,agriculture,670183,2022 -Mata Atlântica,BAHIA,nilo peçanha,1.29,agriculture,238334,2022 -Mata Atlântica,BAHIA,maraú,0.85,agriculture,275953,2022 -Cerrado,BAHIA,formosa do rio preto,14.1,agriculture,2432263,2022 -Cerrado,BAHIA,correntina,293.28,agriculture,1473135,2022 -Cerrado,BAHIA,cotegipe,4.82,agriculture,297663,2022 -Cerrado,BAHIA,cotegipe,16.98,agriculture,297663,2022 -Caatinga,BAHIA,santa rita de cássia,55.44,others,569631,2022 -Caatinga,BAHIA,santa rita de cássia,19.82,others,569631,2022 -Cerrado,BAHIA,cotegipe,181.77,agriculture,297663,2022 -Cerrado,BAHIA,jaborandi,23.4,agriculture,1734316,2022 -Caatinga,BAHIA,barra,0.34,others,312169,2022 -Mata Atlântica,BAHIA,encruzilhada,19.56,agriculture,414662,2022 -Mata Atlântica,BAHIA,valença,0.58,agriculture,378871,2022 -Cerrado,BAHIA,barreiras,164.85,agriculture,1568927,2019 -Cerrado,BAHIA,luís eduardo magalhães,42.99,urban_expansion,800435,2019 -Cerrado,BAHIA,luís eduardo magalhães,32.17,agriculture,800435,2019 -Cerrado,BAHIA,correntina,97.49,agriculture,1545572,2019 -Cerrado,BAHIA,riachão das neves,11.03,agriculture,580173,2019 -Cerrado,BAHIA,santa rita de cássia,115.22,agriculture,694797,2019 -Cerrado,BAHIA,barreiras,260.1,agriculture,1568927,2019 -Mata Atlântica,BAHIA,ilhéus,3.59,agriculture,158872,2019 -Mata Atlântica,BAHIA,jequié,7.59,agriculture,249169,2019 -Mata Atlântica,BAHIA,ilhéus,3.19,agriculture,158872,2019 -Mata Atlântica,BAHIA,dário meira,0.47,agriculture,94401,2019 -Mata Atlântica,BAHIA,igrapiúna,3.53,agriculture,257694,2019 -Cerrado,BAHIA,baianópolis,21.5,agriculture,790814,2020 -Cerrado,BAHIA,barreiras,3.06,agriculture,1179766,2020 -Cerrado,BAHIA,são desidério,220.17,agriculture,3091203,2020 -Caatinga,BAHIA,santa rita de cássia,57.77,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,32.01,agriculture,859509,2020 -Mata Atlântica,BAHIA,ilhéus,16.2,agriculture,191205,2020 -Mata Atlântica,BAHIA,ilhéus,14.89,agriculture,191205,2020 -Mata Atlântica,BAHIA,encruzilhada,14.23,agriculture,451620,2020 -Caatinga,BAHIA,jaborandi,8.92,agriculture,1744004,2020 -Cerrado,BAHIA,correntina,14.49,agriculture,1060525,2020 -Cerrado,BAHIA,luís eduardo magalhães,3.86,urban_expansion,1523413,2020 -Cerrado,BAHIA,baianópolis,303.3,agriculture,790814,2020 -Cerrado,BAHIA,riachão das neves,122.51,agriculture,1085054,2020 -Cerrado,BAHIA,luís eduardo magalhães,27.31,agriculture,1523413,2020 -Cerrado,BAHIA,santa rita de cássia,13.71,agriculture,859509,2020 -Cerrado,BAHIA,jaborandi,43.9,agriculture,1744004,2020 -Cerrado,BAHIA,santa rita de cássia,14.66,agriculture,859509,2020 -Cerrado,BAHIA,jaborandi,13.73,agriculture,1744004,2020 -Cerrado,BAHIA,luís eduardo magalhães,211.77,agriculture,1523413,2020 -Mata Atlântica,BAHIA,iguaí,8.5,agriculture,127471,2020 -Cerrado,BAHIA,santa rita de cássia,13.09,agriculture,859509,2020 -Caatinga,BAHIA,jaborandi,17.22,agriculture,1744004,2020 -Cerrado,BAHIA,formosa do rio preto,13.9,agriculture,3073766,2020 -Cerrado,BAHIA,luís eduardo magalhães,138.26,agriculture,1523413,2020 -Caatinga,BAHIA,santa rita de cássia,2.1,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,63.71,agriculture,790814,2020 -Mata Atlântica,BAHIA,valença,4.04,agriculture,427637,2020 -Mata Atlântica,BAHIA,guaratinga,10.61,agriculture,251656,2020 -Caatinga,BAHIA,cotegipe,5.76,agriculture,559960,2020 -Cerrado,BAHIA,santa rita de cássia,5.26,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,1.72,agriculture,1085054,2020 -Cerrado,BAHIA,correntina,13.39,agriculture,1585476,2021 -Mata Atlântica,BAHIA,camamu,1.24,agriculture,163548,2021 -Mata Atlântica,BAHIA,guaratinga,6.85,agriculture,171742,2021 -Caatinga,BAHIA,correntina,6.78,agriculture,1585476,2021 -Cerrado,BAHIA,baianópolis,6.97,agriculture,1700892,2021 -Cerrado,BAHIA,são desidério,5.99,agriculture,3159579,2021 -Cerrado,BAHIA,riachão das neves,40.88,agriculture,761963,2021 -Caatinga,BAHIA,santa rita de cássia,18.16,agriculture,998700,2021 -Mata Atlântica,BAHIA,camamu,2.77,agriculture,163548,2021 -Cerrado,BAHIA,são desidério,2.97,agriculture,3159579,2021 -Caatinga,BAHIA,cotegipe,36.36,agriculture,292547,2021 -Cerrado,BAHIA,formosa do rio preto,154.78,agriculture,2299737,2021 -Caatinga,BAHIA,santa rita de cássia,8.39,agriculture,998700,2021 -Cerrado,BAHIA,luís eduardo magalhães,1.78,agriculture,1523413,2020 -Cerrado,BAHIA,correntina,0.55,agriculture,1060525,2020 -Caatinga,BAHIA,barra,19.73,agriculture,139778,2020 -Cerrado,BAHIA,santa rita de cássia,4.99,agriculture,859509,2020 -Caatinga,BAHIA,barra,0.96,others,139778,2020 -Caatinga,BAHIA,barra,3.6,others,139778,2020 -Caatinga,BAHIA,barra,0.72,others,139778,2020 -Caatinga,BAHIA,barra,3.19,agriculture,139778,2020 -Caatinga,BAHIA,barra,0.71,others,139778,2020 -Cerrado,BAHIA,baianópolis,4.58,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,0.97,agriculture,790814,2020 -Cerrado,BAHIA,são desidério,0.75,agriculture,3091203,2020 -Cerrado,BAHIA,correntina,3.92,agriculture,1060525,2020 -Caatinga,BAHIA,jaborandi,4.21,agriculture,1744004,2020 -Cerrado,BAHIA,correntina,1.88,agriculture,1060525,2020 -Cerrado,BAHIA,santa rita de cássia,0.68,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,1.18,others,859509,2020 -Cerrado,BAHIA,formosa do rio preto,1.14,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,0.49,agriculture,3073766,2020 -Caatinga,BAHIA,santa rita de cássia,1.9,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,1.06,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,9.01,agriculture,1700892,2021 -Caatinga,BAHIA,correntina,11.0,urban_expansion,1585476,2021 -Caatinga,BAHIA,santa rita de cássia,3.42,agriculture,998700,2021 -Cerrado,BAHIA,luís eduardo magalhães,18.78,others,654262,2021 -Cerrado,BAHIA,barreiras,55.24,agriculture,958306,2021 -Caatinga,BAHIA,cotegipe,3.16,agriculture,292547,2021 -Caatinga,BAHIA,cotegipe,13.07,agriculture,292547,2021 -Cerrado,BAHIA,luís eduardo magalhães,22.76,agriculture,654262,2021 -Caatinga,BAHIA,barra,108.22,agriculture,79058,2021 -Mata Atlântica,BAHIA,belmonte,23.69,agriculture,331485,2021 -Caatinga,BAHIA,santa rita de cássia,5.33,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,5.18,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,3.46,others,998700,2021 -Caatinga,BAHIA,barra,214.34,agriculture,79058,2021 -Cerrado,BAHIA,cocos,489.8,agriculture,1229644,2021 -Cerrado,BAHIA,correntina,361.02,agriculture,1585476,2021 -Caatinga,BAHIA,santa rita de cássia,7.1,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,13.47,agriculture,292547,2021 -Cerrado,BAHIA,correntina,1.42,agriculture,1585476,2021 -Cerrado,BAHIA,são desidério,1967.16,agriculture,2729422,2022 -Cerrado,BAHIA,formosa do rio preto,52.22,agriculture,2432263,2022 -Cerrado,BAHIA,luís eduardo magalhães,125.07,agriculture,343098,2022 -Cerrado,BAHIA,são desidério,70.34,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,361.36,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,198.93,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,1943.17,agriculture,2729422,2022 -Mata Atlântica,BAHIA,camamu,2.0,agriculture,232571,2022 -Mata Atlântica,BAHIA,ilhéus,4.34,agriculture,209209,2022 -Cerrado,BAHIA,jaborandi,3.93,agriculture,1734316,2022 -Cerrado,BAHIA,são desidério,1.9,agriculture,2729422,2022 -Cerrado,BAHIA,barreiras,15.38,agriculture,996163,2022 -Cerrado,BAHIA,riachão das neves,227.66,agriculture,670183,2022 -Caatinga,BAHIA,cocos,14.58,urban_expansion,367625,2022 -Mata Atlântica,BAHIA,guaratinga,7.48,agriculture,243882,2022 -Caatinga,BAHIA,correntina,24.14,agriculture,1545572,2019 -Cerrado,BAHIA,baianópolis,8.21,agriculture,607436,2019 -Cerrado,BAHIA,riachão das neves,10.37,agriculture,580173,2019 -Caatinga,BAHIA,santa rita de cássia,8.83,agriculture,694797,2019 -Cerrado,BAHIA,jaborandi,20.14,agriculture,1706967,2019 -Cerrado,BAHIA,baianópolis,82.42,agriculture,607436,2019 -Cerrado,BAHIA,correntina,9.22,agriculture,1545572,2019 -Cerrado,BAHIA,formosa do rio preto,127.22,agriculture,4220327,2019 -Cerrado,BAHIA,barreiras,10.44,agriculture,1568927,2019 -Cerrado,BAHIA,barreiras,15.11,agriculture,1568927,2019 -Cerrado,BAHIA,baianópolis,19.66,agriculture,607436,2019 -Cerrado,BAHIA,formosa do rio preto,68.6,agriculture,4220327,2019 -Cerrado,BAHIA,correntina,9.17,agriculture,1545572,2019 -Cerrado,BAHIA,formosa do rio preto,14.12,agriculture,4220327,2019 -Cerrado,BAHIA,cocos,1455.05,agriculture,959394,2019 -Caatinga,BAHIA,santa rita de cássia,37.49,agriculture,694797,2019 -Cerrado,BAHIA,barreiras,148.95,agriculture,1568927,2019 -Mata Atlântica,BAHIA,guaratinga,10.37,agriculture,211708,2019 -Mata Atlântica,BAHIA,valença,2.72,agriculture,247673,2019 -Caatinga,BAHIA,santa rita de cássia,53.37,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,24.1,agriculture,859509,2020 -Cerrado,BAHIA,jaborandi,281.03,agriculture,1744004,2020 -Cerrado,BAHIA,são desidério,34.59,agriculture,3091203,2020 -Mata Atlântica,BAHIA,maraú,4.39,agriculture,170126,2020 -Mata Atlântica,BAHIA,camamu,2.93,agriculture,434741,2020 -Mata Atlântica,BAHIA,guaratinga,1.13,agriculture,251656,2020 -Caatinga,BAHIA,barra,453.44,agriculture,139778,2020 -Cerrado,BAHIA,santa rita de cássia,22.48,agriculture,859509,2020 -Caatinga,BAHIA,jaborandi,6.08,agriculture,1744004,2020 -Cerrado,BAHIA,jaborandi,615.15,agriculture,1744004,2020 -Cerrado,BAHIA,são desidério,872.04,agriculture,3091203,2020 -Caatinga,BAHIA,correntina,4.85,agriculture,1060525,2020 -Cerrado,BAHIA,são desidério,14.58,agriculture,3091203,2020 -Cerrado,BAHIA,luís eduardo magalhães,189.12,agriculture,1523413,2020 -Caatinga,BAHIA,santa rita de cássia,4.55,agriculture,859509,2020 -Cerrado,BAHIA,correntina,14.01,agriculture,1060525,2020 -Cerrado,BAHIA,barreiras,13.29,agriculture,1179766,2020 -Cerrado,BAHIA,formosa do rio preto,458.98,agriculture,3073766,2020 -Caatinga,BAHIA,santa rita de cássia,9.01,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,6.48,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,326.4,agriculture,3091203,2020 -Mata Atlântica,BAHIA,maraú,4.57,agriculture,103211,2021 -Mata Atlântica,BAHIA,itagibá,6.31,agriculture,111453,2021 -Caatinga,BAHIA,barra,1.85,agriculture,79058,2021 -Caatinga,BAHIA,santa rita de cássia,17.28,agriculture,998700,2021 -Cerrado,BAHIA,formosa do rio preto,23.94,agriculture,2299737,2021 -Cerrado,BAHIA,são desidério,4.59,agriculture,3159579,2021 -Caatinga,BAHIA,correntina,0.89,agriculture,1585476,2021 -Cerrado,BAHIA,baianópolis,341.8,agriculture,1700892,2021 -Cerrado,BAHIA,riachão das neves,576.86,agriculture,761963,2021 -Cerrado,BAHIA,santa rita de cássia,13.61,agriculture,998700,2021 -Cerrado,BAHIA,baianópolis,39.37,agriculture,1700892,2021 -Mata Atlântica,BAHIA,valença,2.24,agriculture,195332,2021 -Cerrado,BAHIA,correntina,5.03,agriculture,1060525,2020 -Caatinga,BAHIA,santa rita de cássia,4.75,others,859509,2020 -Caatinga,BAHIA,cotegipe,0.83,agriculture,559960,2020 -Cerrado,BAHIA,são desidério,1.73,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,8.49,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,8.67,agriculture,3091203,2020 -Cerrado,BAHIA,riachão das neves,6.18,agriculture,1085054,2020 -Cerrado,BAHIA,santa rita de cássia,32.9,agriculture,859509,2020 -Caatinga,BAHIA,barra,0.31,others,139778,2020 -Cerrado,BAHIA,cotegipe,15.59,agriculture,559960,2020 -Caatinga,BAHIA,barra,5.44,others,139778,2020 -Caatinga,BAHIA,barra,1.27,others,139778,2020 -Caatinga,BAHIA,barra,1.17,others,139778,2020 -Caatinga,BAHIA,barra,2.03,others,139778,2020 -Cerrado,BAHIA,santa rita de cássia,2.96,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,3.01,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,3.34,others,559960,2020 -Caatinga,BAHIA,cotegipe,23.03,agriculture,559960,2020 -Cerrado,BAHIA,são desidério,1.24,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,0.38,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,5.71,agriculture,3091203,2020 -Cerrado,BAHIA,baianópolis,1.16,agriculture,790814,2020 -Caatinga,BAHIA,correntina,5.73,agriculture,1060525,2020 -Cerrado,BAHIA,correntina,1.02,agriculture,1060525,2020 -Caatinga,BAHIA,santa rita de cássia,3.79,others,859509,2020 -Cerrado,BAHIA,formosa do rio preto,39.89,agriculture,3073766,2020 -Cerrado,BAHIA,barreiras,6.34,agriculture,1179766,2020 -Cerrado,BAHIA,formosa do rio preto,27.35,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,2.86,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,22.46,agriculture,859509,2020 -Caatinga,BAHIA,cocos,42.35,agriculture,1229644,2021 -Mata Atlântica,BAHIA,iguaí,3.49,agriculture,155962,2021 -Cerrado,BAHIA,jaborandi,406.92,agriculture,2051920,2021 -Cerrado,BAHIA,santa rita de cássia,91.71,agriculture,998700,2021 -Cerrado,BAHIA,baianópolis,23.55,agriculture,1700892,2021 -Cerrado,BAHIA,riachão das neves,2.99,agriculture,761963,2021 -Caatinga,BAHIA,santa rita de cássia,10.96,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,8.77,agriculture,292547,2021 -Cerrado,BAHIA,são desidério,1.34,agriculture,3159579,2021 -Cerrado,BAHIA,santa rita de cássia,102.2,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,4.48,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,31.88,agriculture,998700,2021 -Cerrado,BAHIA,santa rita de cássia,58.25,agriculture,998700,2021 -Cerrado,BAHIA,correntina,1.08,agriculture,1585476,2021 -Mata Atlântica,BAHIA,itapetinga,2.75,agriculture,285382,2022 -Mata Atlântica,BAHIA,guaratinga,2.13,agriculture,243882,2022 -Mata Atlântica,BAHIA,guaratinga,6.61,agriculture,243882,2022 -Cerrado,BAHIA,correntina,60.48,agriculture,1473135,2022 -Cerrado,BAHIA,barreiras,1024.83,agriculture,996163,2022 -Cerrado,BAHIA,barreiras,172.74,agriculture,996163,2022 -Cerrado,BAHIA,são desidério,816.38,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,9.54,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,574.1,agriculture,2729422,2022 -Mata Atlântica,BAHIA,nilo peçanha,1.92,agriculture,238334,2022 -Mata Atlântica,BAHIA,jequié,15.42,agriculture,498001,2022 -Cerrado,BAHIA,baianópolis,33.39,agriculture,413632,2022 -Mata Atlântica,BAHIA,itapetinga,4.69,agriculture,285382,2022 -Mata Atlântica,BAHIA,valença,0.75,agriculture,378871,2022 -Mata Atlântica,BAHIA,belmonte,1.19,agriculture,354868,2022 -Mata Atlântica,BAHIA,encruzilhada,7.91,agriculture,414662,2022 -Cerrado,BAHIA,cocos,0.98,agriculture,367625,2022 -Caatinga,BAHIA,cotegipe,32.72,others,297663,2022 -Cerrado,BAHIA,riachão das neves,7.39,agriculture,670183,2022 -Cerrado,BAHIA,são desidério,212.94,agriculture,2729422,2022 -Cerrado,BAHIA,barreiras,85.79,agriculture,996163,2022 -Mata Atlântica,BAHIA,itapetinga,103.74,agriculture,285382,2022 -Cerrado,BAHIA,formosa do rio preto,132.74,agriculture,2432263,2022 -Mata Atlântica,BAHIA,ilhéus,1.37,agriculture,158872,2019 -Cerrado,BAHIA,baianópolis,29.95,agriculture,607436,2019 -Cerrado,BAHIA,baianópolis,12.85,agriculture,607436,2019 -Cerrado,BAHIA,jaborandi,70.96,agriculture,1706967,2019 -Caatinga,BAHIA,santa rita de cássia,200.47,agriculture,694797,2019 -Cerrado,BAHIA,luís eduardo magalhães,192.62,agriculture,800435,2019 -Cerrado,BAHIA,santa rita de cássia,23.42,agriculture,694797,2019 -Caatinga,BAHIA,cocos,6.38,agriculture,959394,2019 -Cerrado,BAHIA,baianópolis,4.93,agriculture,607436,2019 -Cerrado,BAHIA,barreiras,97.04,agriculture,1568927,2019 -Cerrado,BAHIA,baianópolis,7.58,agriculture,607436,2019 -Cerrado,BAHIA,formosa do rio preto,86.61,agriculture,4220327,2019 -Cerrado,BAHIA,riachão das neves,17.22,agriculture,580173,2019 -Cerrado,BAHIA,formosa do rio preto,1095.76,agriculture,4220327,2019 -Caatinga,BAHIA,cotegipe,25.5,agriculture,331163,2019 -Cerrado,BAHIA,luís eduardo magalhães,59.98,agriculture,800435,2019 -Cerrado,BAHIA,barreiras,230.74,agriculture,1568927,2019 -Cerrado,BAHIA,formosa do rio preto,214.82,agriculture,4220327,2019 -Mata Atlântica,BAHIA,belmonte,7.95,agriculture,390403,2019 -Mata Atlântica,BAHIA,encruzilhada,2.01,agriculture,403895,2019 -Mata Atlântica,BAHIA,camamu,1.96,agriculture,221471,2019 -Cerrado,BAHIA,baianópolis,4.95,agriculture,790814,2020 -Cerrado,BAHIA,luís eduardo magalhães,1.49,agriculture,1523413,2020 -Mata Atlântica,BAHIA,valença,3.45,agriculture,427637,2020 -Mata Atlântica,BAHIA,valença,1.6,agriculture,427637,2020 -Cerrado,BAHIA,riachão das neves,20.38,agriculture,1085054,2020 -Mata Atlântica,BAHIA,itagibá,50.98,agriculture,72102,2020 -Mata Atlântica,BAHIA,itapetinga,5.5,agriculture,46135,2020 -Mata Atlântica,BAHIA,encruzilhada,23.25,agriculture,451620,2020 -Caatinga,BAHIA,cotegipe,20.48,agriculture,559960,2020 -Cerrado,BAHIA,são desidério,2.03,agriculture,3091203,2020 -Cerrado,BAHIA,santa rita de cássia,4.63,agriculture,859509,2020 -Caatinga,BAHIA,cotegipe,20.59,agriculture,559960,2020 -Cerrado,BAHIA,barreiras,12.63,agriculture,1179766,2020 -Cerrado,BAHIA,são desidério,2.97,agriculture,3091203,2020 -Caatinga,BAHIA,santa rita de cássia,15.87,agriculture,859509,2020 -Caatinga,BAHIA,barra,10.76,agriculture,139778,2020 -Caatinga,BAHIA,cocos,6.37,agriculture,1218387,2020 -Cerrado,BAHIA,cotegipe,5.41,agriculture,559960,2020 -Cerrado,BAHIA,santa rita de cássia,23.67,agriculture,859509,2020 -Mata Atlântica,BAHIA,ilhéus,3.26,agriculture,191205,2020 -Mata Atlântica,BAHIA,camamu,6.71,agriculture,163548,2021 -Cerrado,BAHIA,santa rita de cássia,0.83,agriculture,998700,2021 -Caatinga,BAHIA,barra,4.85,agriculture,79058,2021 -Cerrado,BAHIA,formosa do rio preto,12.18,agriculture,2299737,2021 -Cerrado,BAHIA,correntina,19.2,agriculture,1585476,2021 -Cerrado,BAHIA,baianópolis,9.15,agriculture,1700892,2021 -Mata Atlântica,BAHIA,ilhéus,4.96,agriculture,131715,2021 -Mata Atlântica,BAHIA,belmonte,9.66,agriculture,331485,2021 -Cerrado,BAHIA,são desidério,354.91,agriculture,3159579,2021 -Cerrado,BAHIA,barreiras,28.58,agriculture,958306,2021 -Caatinga,BAHIA,cotegipe,1.49,agriculture,292547,2021 -Mata Atlântica,BAHIA,belmonte,7.06,agriculture,331485,2021 -Cerrado,BAHIA,são desidério,119.52,agriculture,3159579,2021 -Mata Atlântica,BAHIA,camamu,6.79,agriculture,163548,2021 -Cerrado,BAHIA,cotegipe,2.28,agriculture,559960,2020 -Caatinga,BAHIA,barra,1.04,others,139778,2020 -Caatinga,BAHIA,barra,1.25,agriculture,139778,2020 -Caatinga,BAHIA,santa rita de cássia,2.38,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,1.99,others,859509,2020 -Caatinga,BAHIA,santa rita de cássia,24.84,agriculture,859509,2020 -Caatinga,BAHIA,barra,1.15,agriculture,139778,2020 -Caatinga,BAHIA,santa rita de cássia,5.23,agriculture,859509,2020 -Cerrado,BAHIA,são desidério,27.18,agriculture,3091203,2020 -Cerrado,BAHIA,são desidério,1.88,agriculture,3091203,2020 -Cerrado,BAHIA,jaborandi,0.55,agriculture,1744004,2020 -Caatinga,BAHIA,correntina,0.57,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,19.19,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,2.89,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,1.42,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,18.25,agriculture,3073766,2020 -Cerrado,BAHIA,formosa do rio preto,4.28,agriculture,3073766,2020 -Cerrado,BAHIA,barreiras,3.39,agriculture,1179766,2020 -Cerrado,BAHIA,barreiras,7.37,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,5.91,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,8.85,agriculture,859509,2020 -Cerrado,BAHIA,barreiras,2.24,agriculture,1179766,2020 -Cerrado,BAHIA,luís eduardo magalhães,9.66,agriculture,1523413,2020 -Cerrado,BAHIA,riachão das neves,1.63,agriculture,1085054,2020 -Caatinga,BAHIA,cocos,33.96,others,1218387,2020 -Cerrado,BAHIA,barreiras,21.42,agriculture,958306,2021 -Mata Atlântica,BAHIA,valença,1.4,agriculture,195332,2021 -Cerrado,BAHIA,jaborandi,591.5,agriculture,2051920,2021 -Cerrado,BAHIA,barreiras,34.24,agriculture,958306,2021 -Cerrado,BAHIA,correntina,986.4,agriculture,1585476,2021 -Cerrado,BAHIA,baianópolis,651.93,agriculture,1700892,2021 -Caatinga,BAHIA,santa rita de cássia,8.33,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,4.61,others,292547,2021 -Caatinga,BAHIA,barra,205.53,agriculture,79058,2021 -Cerrado,BAHIA,santa rita de cássia,159.45,agriculture,998700,2021 -Cerrado,BAHIA,cocos,368.05,agriculture,1229644,2021 -Cerrado,BAHIA,são desidério,11.44,agriculture,3159579,2021 -Cerrado,BAHIA,barreiras,21.73,agriculture,958306,2021 -Cerrado,BAHIA,riachão das neves,75.43,agriculture,761963,2021 -Cerrado,BAHIA,santa rita de cássia,36.89,agriculture,998700,2021 -Caatinga,BAHIA,barra,156.66,others,312169,2022 -Cerrado,BAHIA,são desidério,173.78,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,29.18,agriculture,2729422,2022 -Mata Atlântica,BAHIA,guaratinga,18.88,agriculture,243882,2022 -Mata Atlântica,BAHIA,camamu,5.62,agriculture,232571,2022 -Cerrado,BAHIA,santa rita de cássia,14.19,agriculture,569631,2022 -Cerrado,BAHIA,formosa do rio preto,30.22,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,55.53,agriculture,569631,2022 -Cerrado,BAHIA,baianópolis,1.91,agriculture,413632,2022 -Cerrado,BAHIA,barreiras,7.0,urban_expansion,996163,2022 -Cerrado,BAHIA,são desidério,13.09,agriculture,2729422,2022 -Cerrado,BAHIA,correntina,63.98,agriculture,1473135,2022 -Cerrado,BAHIA,cocos,25.7,agriculture,367625,2022 -Cerrado,BAHIA,santa rita de cássia,14.16,agriculture,569631,2022 -Cerrado,BAHIA,correntina,18.1,agriculture,1473135,2022 -Cerrado,BAHIA,baianópolis,3.56,agriculture,413632,2022 -Cerrado,BAHIA,formosa do rio preto,70.51,agriculture,2432263,2022 -Mata Atlântica,BAHIA,maraú,3.76,agriculture,275953,2022 -Mata Atlântica,BAHIA,belmonte,0.78,agriculture,354868,2022 -Mata Atlântica,BAHIA,camamu,0.84,agriculture,232571,2022 -Cerrado,BAHIA,barreiras,99.99,agriculture,996163,2022 -Cerrado,BAHIA,correntina,527.22,agriculture,1473135,2022 -Mata Atlântica,BAHIA,igrapiúna,3.93,agriculture,257694,2019 -Mata Atlântica,BAHIA,guaratinga,9.28,agriculture,211708,2019 -Cerrado,BAHIA,formosa do rio preto,2.1,agriculture,4220327,2019 -Caatinga,BAHIA,barra,2.31,agriculture,226011,2019 -Mata Atlântica,BAHIA,encruzilhada,22.1,agriculture,403895,2019 -Caatinga,BAHIA,santa rita de cássia,12.86,agriculture,694797,2019 -Cerrado,BAHIA,barreiras,107.56,agriculture,1568927,2019 -Cerrado,BAHIA,barreiras,17.43,agriculture,1568927,2019 -Cerrado,BAHIA,são desidério,33.56,agriculture,2024107,2019 -Cerrado,BAHIA,formosa do rio preto,10.59,agriculture,4220327,2019 -Caatinga,BAHIA,santa rita de cássia,17.13,agriculture,694797,2019 -Mata Atlântica,BAHIA,dário meira,8.09,agriculture,94401,2019 -Cerrado,BAHIA,são desidério,31.73,agriculture,3091203,2020 -Caatinga,BAHIA,correntina,18.05,agriculture,1060525,2020 -Cerrado,BAHIA,cotegipe,190.24,agriculture,559960,2020 -Mata Atlântica,BAHIA,maraú,1.74,agriculture,170126,2020 -Mata Atlântica,BAHIA,camamu,2.74,agriculture,434741,2020 -Cerrado,BAHIA,são desidério,138.52,agriculture,3091203,2020 -Cerrado,BAHIA,barreiras,979.89,agriculture,1179766,2020 -Caatinga,BAHIA,santa rita de cássia,5.76,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,276.82,agriculture,859509,2020 -Mata Atlântica,BAHIA,itagibá,3.72,agriculture,72102,2020 -Mata Atlântica,BAHIA,encruzilhada,29.52,agriculture,451620,2020 -Cerrado,BAHIA,jaborandi,471.53,agriculture,1744004,2020 -Mata Atlântica,BAHIA,belmonte,35.66,agriculture,350558,2020 -Cerrado,BAHIA,baianópolis,1.88,agriculture,790814,2020 -Cerrado,BAHIA,baianópolis,6.95,agriculture,790814,2020 -Caatinga,BAHIA,santa rita de cássia,83.97,agriculture,859509,2020 -Caatinga,BAHIA,santa rita de cássia,7.74,agriculture,859509,2020 -Mata Atlântica,BAHIA,belmonte,1.39,agriculture,350558,2020 -Mata Atlântica,BAHIA,igrapiúna,2.29,agriculture,378236,2020 -Mata Atlântica,BAHIA,belmonte,6.52,agriculture,350558,2020 -Mata Atlântica,BAHIA,belmonte,12.35,agriculture,350558,2020 -Caatinga,BAHIA,cotegipe,13.33,agriculture,292547,2021 -Cerrado,BAHIA,cocos,14.64,agriculture,1229644,2021 -Cerrado,BAHIA,formosa do rio preto,12.07,agriculture,2299737,2021 -Cerrado,BAHIA,são desidério,27.16,agriculture,3159579,2021 -Mata Atlântica,BAHIA,valença,1.84,agriculture,195332,2021 -Cerrado,BAHIA,santa rita de cássia,20.46,agriculture,998700,2021 -Cerrado,BAHIA,barreiras,9.05,agriculture,958306,2021 -Cerrado,BAHIA,riachão das neves,8.0,agriculture,761963,2021 -Cerrado,BAHIA,santa rita de cássia,47.43,agriculture,998700,2021 -Caatinga,BAHIA,barra,6.64,agriculture,79058,2021 -Cerrado,BAHIA,formosa do rio preto,70.13,agriculture,3073766,2020 -Cerrado,BAHIA,são desidério,3.11,agriculture,3091203,2020 -Caatinga,BAHIA,cotegipe,3.46,others,559960,2020 -Caatinga,BAHIA,barra,1.68,others,139778,2020 -Caatinga,BAHIA,barra,0.89,others,139778,2020 -Cerrado,BAHIA,santa rita de cássia,6.15,agriculture,859509,2020 -Caatinga,BAHIA,barra,1.72,others,139778,2020 -Cerrado,BAHIA,cotegipe,7.41,agriculture,559960,2020 -Cerrado,BAHIA,cotegipe,2.6,agriculture,559960,2020 -Cerrado,BAHIA,correntina,2.29,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,4.84,agriculture,790814,2020 -Cerrado,BAHIA,santa rita de cássia,16.42,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,2.77,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,1.12,agriculture,859509,2020 -Cerrado,BAHIA,formosa do rio preto,5.23,agriculture,3073766,2020 -Caatinga,BAHIA,santa rita de cássia,1.19,agriculture,859509,2020 -Cerrado,BAHIA,jaborandi,114.93,agriculture,2051920,2021 -Cerrado,BAHIA,formosa do rio preto,62.83,agriculture,2299737,2021 -Caatinga,BAHIA,santa rita de cássia,375.26,agriculture,998700,2021 -Caatinga,BAHIA,barra,18.54,agriculture,79058,2021 -Mata Atlântica,BAHIA,itagibá,1.81,agriculture,111453,2021 -Caatinga,BAHIA,santa rita de cássia,6.06,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,1.12,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,9.92,agriculture,292547,2021 -Caatinga,BAHIA,santa rita de cássia,179.42,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,2.65,agriculture,998700,2021 -Cerrado,BAHIA,santa rita de cássia,11.45,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,5.08,others,998700,2021 -Caatinga,BAHIA,santa rita de cássia,7.86,others,998700,2021 -Cerrado,BAHIA,jaborandi,4977.61,agriculture,2051920,2021 -Caatinga,BAHIA,jaborandi,17.22,agriculture,2051920,2021 -Cerrado,BAHIA,são desidério,186.73,agriculture,3159579,2021 -Cerrado,BAHIA,riachão das neves,2.98,agriculture,761963,2021 -Caatinga,BAHIA,barra,284.22,agriculture,79058,2021 -Cerrado,BAHIA,barreiras,3099.55,agriculture,996163,2022 -Cerrado,BAHIA,são desidério,139.65,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,46.6,agriculture,2729422,2022 -Cerrado,BAHIA,formosa do rio preto,93.03,agriculture,2432263,2022 -Cerrado,BAHIA,santa rita de cássia,6.66,agriculture,569631,2022 -Cerrado,BAHIA,luís eduardo magalhães,9.13,agriculture,343098,2022 -Mata Atlântica,BAHIA,valença,0.51,agriculture,378871,2022 -Mata Atlântica,BAHIA,itarantim,5.45,agriculture,203154,2022 -Cerrado,BAHIA,cocos,21.9,agriculture,367625,2022 -Caatinga,BAHIA,barra,22.69,others,312169,2022 -Cerrado,BAHIA,riachão das neves,4.2,agriculture,670183,2022 -Cerrado,BAHIA,correntina,1600.65,agriculture,1473135,2022 -Cerrado,BAHIA,são desidério,227.63,agriculture,2729422,2022 -Cerrado,BAHIA,formosa do rio preto,4.54,agriculture,2432263,2022 -Cerrado,BAHIA,são desidério,511.31,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,69.71,agriculture,2729422,2022 -Mata Atlântica,BAHIA,ilhéus,0.91,others,209209,2022 -Mata Atlântica,BAHIA,valença,2.92,agriculture,378871,2022 -Cerrado,BAHIA,são desidério,3.86,agriculture,2729422,2022 -Caatinga,BAHIA,santa rita de cássia,35.81,agriculture,694797,2019 -Cerrado,BAHIA,cocos,22.25,agriculture,959394,2019 -Cerrado,BAHIA,baianópolis,14.02,agriculture,607436,2019 -Cerrado,BAHIA,cocos,3.22,agriculture,959394,2019 -Mata Atlântica,BAHIA,belmonte,2.84,agriculture,390403,2019 -Mata Atlântica,BAHIA,ibirapitanga,1.14,agriculture,86205,2019 -Mata Atlântica,BAHIA,igrapiúna,0.85,agriculture,257694,2019 -Cerrado,BAHIA,correntina,6.28,agriculture,1545572,2019 -Caatinga,BAHIA,santa rita de cássia,15.01,agriculture,694797,2019 -Cerrado,BAHIA,barreiras,32.92,agriculture,1568927,2019 -Cerrado,BAHIA,jaborandi,1145.3,agriculture,1706967,2019 -Cerrado,BAHIA,barreiras,27.18,agriculture,1568927,2019 -Cerrado,BAHIA,são desidério,33.19,agriculture,2024107,2019 -Cerrado,BAHIA,santa rita de cássia,19.0,agriculture,694797,2019 -Caatinga,BAHIA,jaborandi,8.14,agriculture,1706967,2019 -Cerrado,BAHIA,formosa do rio preto,10.51,agriculture,4220327,2019 -Cerrado,BAHIA,santa rita de cássia,80.42,agriculture,694797,2019 -Mata Atlântica,BAHIA,belmonte,2.24,agriculture,390403,2019 -Mata Atlântica,BAHIA,encruzilhada,2.78,agriculture,403895,2019 -Mata Atlântica,BAHIA,camamu,6.47,agriculture,221471,2019 -Cerrado,BAHIA,baianópolis,3.29,agriculture,790814,2020 -Cerrado,BAHIA,riachão das neves,113.58,agriculture,1085054,2020 -Cerrado,BAHIA,barreiras,1.86,agriculture,1179766,2020 -Mata Atlântica,BAHIA,ilhéus,1.53,agriculture,191205,2020 -Mata Atlântica,BAHIA,itagibá,17.81,agriculture,72102,2020 -Cerrado,BAHIA,são desidério,343.36,agriculture,3091203,2020 -Caatinga,BAHIA,santa rita de cássia,10.06,agriculture,859509,2020 -Mata Atlântica,BAHIA,belmonte,2.14,agriculture,350558,2020 -Cerrado,BAHIA,formosa do rio preto,12.34,agriculture,3073766,2020 -Cerrado,BAHIA,santa rita de cássia,35.73,agriculture,859509,2020 -Cerrado,BAHIA,correntina,1.53,agriculture,1060525,2020 -Cerrado,BAHIA,baianópolis,3.01,agriculture,790814,2020 -Cerrado,BAHIA,cocos,2.53,agriculture,1218387,2020 -Caatinga,BAHIA,correntina,7.34,agriculture,1060525,2020 -Cerrado,BAHIA,luís eduardo magalhães,5.36,agriculture,1523413,2020 -Mata Atlântica,BAHIA,camamu,2.52,agriculture,434741,2020 -Cerrado,BAHIA,santa rita de cássia,50.46,agriculture,859509,2020 -Mata Atlântica,BAHIA,encruzilhada,29.06,agriculture,451620,2020 -Cerrado,BAHIA,cocos,3.48,agriculture,1218387,2020 -Cerrado,BAHIA,cocos,32.03,agriculture,1218387,2020 -Caatinga,BAHIA,santa rita de cássia,5.35,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,83.86,agriculture,859509,2020 -Cerrado,BAHIA,santa rita de cássia,100.78,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,41.37,agriculture,1700892,2021 -Caatinga,BAHIA,santa rita de cássia,2.24,agriculture,998700,2021 -Cerrado,BAHIA,são desidério,330.84,agriculture,3159579,2021 -Cerrado,BAHIA,jaborandi,17.3,agriculture,2051920,2021 -Cerrado,BAHIA,luís eduardo magalhães,800.38,agriculture,654262,2021 -Cerrado,BAHIA,santa rita de cássia,7.94,agriculture,998700,2021 -Mata Atlântica,BAHIA,maraú,0.85,agriculture,103211,2021 -Caatinga,BAHIA,jequié,2.84,agriculture,163926,2021 -Cerrado,BAHIA,são desidério,3.22,agriculture,3159579,2021 -Cerrado,BAHIA,correntina,0.79,agriculture,1585476,2021 -Cerrado,BAHIA,baianópolis,1.68,agriculture,1700892,2021 -Cerrado,BAHIA,jaborandi,22.03,agriculture,2051920,2021 -Caatinga,BAHIA,santa rita de cássia,30.18,agriculture,998700,2021 -Cerrado,BAHIA,cocos,253.16,agriculture,1229644,2021 -Caatinga,BAHIA,cotegipe,22.74,agriculture,292547,2021 -Caatinga,BAHIA,cotegipe,3.28,others,559960,2020 -Cerrado,BAHIA,são desidério,1.45,agriculture,3091203,2020 -Caatinga,BAHIA,santa rita de cássia,3.36,agriculture,859509,2020 -Caatinga,BAHIA,barra,0.89,agriculture,139778,2020 -Caatinga,BAHIA,santa rita de cássia,1.76,others,859509,2020 -Caatinga,BAHIA,santa rita de cássia,6.08,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,7.71,agriculture,790814,2020 -Caatinga,BAHIA,jaborandi,2.79,others,1744004,2020 -Cerrado,BAHIA,baianópolis,3.28,agriculture,790814,2020 -Cerrado,BAHIA,são desidério,6.46,agriculture,3091203,2020 -Cerrado,BAHIA,jaborandi,3.77,agriculture,1744004,2020 -Cerrado,BAHIA,correntina,2.98,agriculture,1060525,2020 -Cerrado,BAHIA,formosa do rio preto,46.42,agriculture,3073766,2020 -Cerrado,BAHIA,barreiras,10.05,agriculture,1179766,2020 -Cerrado,BAHIA,santa rita de cássia,23.81,agriculture,859509,2020 -Cerrado,BAHIA,riachão das neves,43.7,agriculture,1085054,2020 -Cerrado,BAHIA,jaborandi,16.03,agriculture,1744004,2020 -Cerrado,BAHIA,santa rita de cássia,3.46,agriculture,859509,2020 -Cerrado,BAHIA,baianópolis,174.9,agriculture,1700892,2021 -Cerrado,BAHIA,jaborandi,17.0,agriculture,2051920,2021 -Caatinga,BAHIA,barra,1.34,others,79058,2021 -Cerrado,BAHIA,baianópolis,6.29,agriculture,1700892,2021 -Cerrado,BAHIA,santa rita de cássia,38.5,agriculture,998700,2021 -Mata Atlântica,BAHIA,itagibá,4.33,agriculture,111453,2021 -Cerrado,BAHIA,baianópolis,77.99,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,9.91,agriculture,1700892,2021 -Cerrado,BAHIA,santa rita de cássia,10.84,agriculture,998700,2021 -Mata Atlântica,BAHIA,itambé,2.24,agriculture,65263,2021 -Caatinga,BAHIA,santa rita de cássia,1.26,agriculture,998700,2021 -Caatinga,BAHIA,santa rita de cássia,2.92,agriculture,998700,2021 -Caatinga,BAHIA,cotegipe,4.83,agriculture,292547,2021 -Caatinga,BAHIA,barra,0.92,others,79058,2021 -Caatinga,BAHIA,cotegipe,27.81,agriculture,292547,2021 -Cerrado,BAHIA,luís eduardo magalhães,135.33,agriculture,654262,2021 -Cerrado,BAHIA,são desidério,2238.44,agriculture,3159579,2021 -Cerrado,BAHIA,riachão das neves,1.74,agriculture,761963,2021 -Caatinga,BAHIA,santa rita de cássia,0.75,agriculture,998700,2021 -Cerrado,BAHIA,cotegipe,56.34,agriculture,292547,2021 -Cerrado,BAHIA,cocos,101.3,agriculture,1229644,2021 -Mata Atlântica,BAHIA,encruzilhada,41.39,agriculture,414662,2022 -Mata Atlântica,BAHIA,itapetinga,27.93,agriculture,285382,2022 -Cerrado,BAHIA,barreiras,2262.46,agriculture,996163,2022 -Cerrado,BAHIA,jaborandi,2027.38,agriculture,1734316,2022 -Cerrado,BAHIA,formosa do rio preto,16.34,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,26.81,agriculture,2432263,2022 -Cerrado,BAHIA,barreiras,169.7,agriculture,996163,2022 -Cerrado,BAHIA,luís eduardo magalhães,224.27,agriculture,343098,2022 -Mata Atlântica,BAHIA,jequié,8.68,agriculture,498001,2022 -Cerrado,BAHIA,correntina,7.41,agriculture,1473135,2022 -Cerrado,BAHIA,baianópolis,12.46,agriculture,413632,2022 -Caatinga,BAHIA,santa rita de cássia,2.71,others,569631,2022 -Cerrado,BAHIA,cotegipe,79.07,agriculture,297663,2022 -Cerrado,BAHIA,cotegipe,3.84,agriculture,297663,2022 -Caatinga,BAHIA,barra,1.57,others,312169,2022 -Caatinga,BAHIA,cocos,26.15,others,367625,2022 -Mata Atlântica,BAHIA,ilhéus,9.13,agriculture,209209,2022 -Cerrado,BAHIA,são desidério,178.7,agriculture,2729422,2022 -Cerrado,BAHIA,são desidério,40.21,agriculture,2729422,2022 -Cerrado,BAHIA,luís eduardo magalhães,36.29,agriculture,343098,2022 -Cerrado,BAHIA,cocos,16.47,agriculture,367625,2022 -Cerrado,BAHIA,formosa do rio preto,12342.73,agriculture,2432263,2022 -Cerrado,BAHIA,formosa do rio preto,7652.3,agriculture,2432263,2022 -Cerrado,BAHIA,correntina,198.74,agriculture,1585476,2021 -Cerrado,BAHIA,baianópolis,7.42,agriculture,1700892,2021 -Cerrado,BAHIA,cocos,13.99,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,7.72,agriculture,1229644,2021 -Cerrado,BAHIA,são desidério,18.37,agriculture,3159579,2021 -Cerrado,BAHIA,luís eduardo magalhães,21.72,agriculture,654262,2021 -Cerrado,BAHIA,são desidério,2.62,agriculture,3159579,2021 -Cerrado,BAHIA,são desidério,11.58,agriculture,3159579,2021 -Cerrado,BAHIA,são desidério,27.12,agriculture,3159579,2021 -Cerrado,BAHIA,santa rita de cássia,10.46,agriculture,998700,2021 -Cerrado,BAHIA,são desidério,18.74,agriculture,3159579,2021 -Cerrado,BAHIA,riachão das neves,13.65,agriculture,761963,2021 -Cerrado,BAHIA,jaborandi,74.66,agriculture,2051920,2021 -Cerrado,BAHIA,cotegipe,10.03,agriculture,292547,2021 -Cerrado,BAHIA,cotegipe,19.7,agriculture,292547,2021 -Cerrado,BAHIA,baianópolis,63.88,agriculture,1700892,2021 -Cerrado,BAHIA,luís eduardo magalhães,26.39,agriculture,654262,2021 -Cerrado,BAHIA,cocos,2.05,agriculture,1229644,2021 -Cerrado,BAHIA,jaborandi,2.36,agriculture,2051920,2021 -Cerrado,BAHIA,cocos,3.83,agriculture,1229644,2021 -Cerrado,BAHIA,são desidério,135.3,agriculture,3159579,2021 -Cerrado,BAHIA,são desidério,9.1,agriculture,3159579,2021 -Cerrado,BAHIA,cocos,3.01,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,1.55,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,1.91,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,1.15,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,5.09,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,16.89,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,2.91,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,5.28,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,2.6,agriculture,1229644,2021 -Cerrado,BAHIA,barreiras,8.3,agriculture,958306,2021 -Cerrado,BAHIA,são desidério,1.36,agriculture,3159579,2021 -Cerrado,BAHIA,formosa do rio preto,5.52,agriculture,2299737,2021 -Cerrado,BAHIA,riachão das neves,3.11,agriculture,761963,2021 -Cerrado,BAHIA,santa rita de cássia,1.9,agriculture,998700,2021 -Cerrado,BAHIA,formosa do rio preto,3.21,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,1.4,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,7.86,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,65.08,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,7.04,agriculture,2299737,2021 -Cerrado,BAHIA,correntina,2.69,agriculture,1585476,2021 -Cerrado,BAHIA,baianópolis,2.94,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,5.5,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,2.82,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,9.26,agriculture,1700892,2021 -Cerrado,BAHIA,são desidério,1.64,agriculture,3159579,2021 -Cerrado,BAHIA,baianópolis,6.63,agriculture,1700892,2021 -Cerrado,BAHIA,correntina,5.91,agriculture,1585476,2021 -Cerrado,BAHIA,jaborandi,2.06,agriculture,2051920,2021 -Cerrado,BAHIA,correntina,3.36,agriculture,1585476,2021 -Cerrado,BAHIA,cotegipe,2.92,agriculture,292547,2021 -Cerrado,BAHIA,baianópolis,5.19,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,3.34,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,0.99,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,3.02,agriculture,1700892,2021 -Cerrado,BAHIA,são desidério,4.11,agriculture,3159579,2021 -Cerrado,BAHIA,baianópolis,3.62,agriculture,1700892,2021 -Cerrado,BAHIA,são desidério,2.55,agriculture,3159579,2021 -Cerrado,BAHIA,correntina,3.46,agriculture,1585476,2021 -Cerrado,BAHIA,jaborandi,8.58,agriculture,2051920,2021 -Cerrado,BAHIA,cotegipe,5.34,agriculture,292547,2021 -Cerrado,BAHIA,cotegipe,1.22,agriculture,292547,2021 -Cerrado,BAHIA,baianópolis,9.55,agriculture,1700892,2021 -Cerrado,BAHIA,cotegipe,0.33,agriculture,292547,2021 -Cerrado,BAHIA,jaborandi,102.91,agriculture,2051920,2021 -Cerrado,BAHIA,são desidério,2.09,agriculture,3159579,2021 -Cerrado,BAHIA,são desidério,3.05,agriculture,3159579,2021 -Cerrado,BAHIA,luís eduardo magalhães,6.31,agriculture,654262,2021 -Cerrado,BAHIA,são desidério,1.76,agriculture,3159579,2021 -Cerrado,BAHIA,são desidério,4.65,agriculture,3159579,2021 -Cerrado,BAHIA,são desidério,2.56,agriculture,3159579,2021 -Cerrado,BAHIA,são desidério,1.25,agriculture,3159579,2021 -Cerrado,BAHIA,correntina,5.2,urban_expansion,1585476,2021 -Cerrado,BAHIA,formosa do rio preto,5.26,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,64.54,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,1.7,agriculture,2299737,2021 -Cerrado,BAHIA,santa rita de cássia,3.77,agriculture,998700,2021 -Cerrado,BAHIA,são desidério,1.11,agriculture,3159579,2021 -Cerrado,BAHIA,jaborandi,2.67,agriculture,2051920,2021 -Cerrado,BAHIA,riachão das neves,5.08,agriculture,761963,2021 -Cerrado,BAHIA,cocos,1.17,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,1.57,agriculture,1229644,2021 -Cerrado,BAHIA,são desidério,4.45,agriculture,3159579,2021 -Cerrado,BAHIA,cocos,3.14,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,1.23,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,4.2,agriculture,1229644,2021 -Cerrado,BAHIA,correntina,3.4,agriculture,1585476,2021 -Cerrado,BAHIA,correntina,5.99,agriculture,1585476,2021 -Cerrado,BAHIA,correntina,1.83,agriculture,1585476,2021 -Cerrado,BAHIA,correntina,1.99,agriculture,1585476,2021 -Cerrado,BAHIA,formosa do rio preto,1.89,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,2.98,agriculture,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,11.18,agriculture,2299737,2021 -Cerrado,BAHIA,santa rita de cássia,2.64,agriculture,998700,2021 -Cerrado,BAHIA,cotegipe,7.59,agriculture,292547,2021 -Cerrado,BAHIA,cotegipe,1.78,agriculture,292547,2021 -Cerrado,BAHIA,cocos,6.48,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,10.04,agriculture,1229644,2021 -Cerrado,BAHIA,baianópolis,7.34,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,2.93,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,3.93,agriculture,1700892,2021 -Cerrado,BAHIA,baianópolis,7.77,agriculture,1700892,2021 -Cerrado,BAHIA,são desidério,2.85,agriculture,3159579,2021 -Cerrado,BAHIA,formosa do rio preto,8.97,agriculture,2299737,2021 -Cerrado,BAHIA,correntina,4.3,agriculture,1585476,2021 -Cerrado,BAHIA,são desidério,2.75,agriculture,3159579,2021 -Cerrado,BAHIA,são desidério,6.18,agriculture,3159579,2021 -Cerrado,BAHIA,correntina,2.15,agriculture,1585476,2021 -Cerrado,BAHIA,riachão das neves,1.11,agriculture,761963,2021 -Cerrado,BAHIA,correntina,2.34,agriculture,1585476,2021 -Cerrado,BAHIA,cocos,0.92,agriculture,1229644,2021 -Cerrado,BAHIA,cocos,3.71,agriculture,1229644,2021 -Cerrado,BAHIA,riachão das neves,11.58,agriculture,761963,2021 -Cerrado,BAHIA,são desidério,3.06,agriculture,3159579,2021 -Cerrado,BAHIA,correntina,7.63,agriculture,1585476,2021 -Cerrado,BAHIA,formosa do rio preto,12.4,agriculture,2299737,2021 -Cerrado,BAHIA,cocos,13.06,agriculture,1229644,2021 -Cerrado,BAHIA,são desidério,2.26,agriculture,3159579,2021 -Cerrado,BAHIA,formosa do rio preto,13.24,others,2299737,2021 -Cerrado,BAHIA,formosa do rio preto,5.27,roads,2299737,2021 -Cerrado,BAHIA,baianópolis,1.99,agriculture,1700892,2021 -Cerrado,BAHIA,correntina,190.62,agriculture,1585476,2021 -Cerrado,BAHIA,são desidério,1.01,agriculture,3159579,2021 -Cerrado,BAHIA,formosa do rio preto,4.26,agriculture,2299737,2021 -Cerrado,BAHIA,cotegipe,2.62,agriculture,292547,2021 -Cerrado,BAHIA,baianópolis,2.51,agriculture,1700892,2021 -Cerrado,BAHIA,correntina,1.07,agriculture,1585476,2021 -Cerrado,BAHIA,barreiras,2.88,agriculture,958306,2021 -Cerrado,BAHIA,são desidério,43.02,agriculture,3159579,2021 -Cerrado,BAHIA,barreiras,2.26,agriculture,958306,2021 -Cerrado,BAHIA,luís eduardo magalhães,1.71,agriculture,654262,2021 -Cerrado,BAHIA,formosa do rio preto,125.94,agriculture,2299737,2021 -Cerrado,BAHIA,luís eduardo magalhães,57.11,agriculture,654262,2021 -Cerrado,BAHIA,jaborandi,56.12,agriculture,2051920,2021 -Cerrado,BAHIA,formosa do rio preto,4.08,agriculture,2299737,2021 -Cerrado,BAHIA,são desidério,6.35,agriculture,3159579,2021 -Cerrado,BAHIA,jaborandi,3.22,agriculture,2051920,2021 -Cerrado,BAHIA,riachão das neves,30.58,agriculture,761963,2021 -Cerrado,BAHIA,barreiras,6.69,agriculture,958306,2021 -Cerrado,BAHIA,cotegipe,1.58,agriculture,292547,2021 -Cerrado,BAHIA,cotegipe,2.98,agriculture,292547,2021 From 0382c262083c4710e154eae2ffdbfea06ba342e2 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sun, 13 Oct 2024 17:09:45 -0300 Subject: [PATCH 76/90] Delete dados/SEEG_EMISSAO.csv --- dados/SEEG_EMISSAO.csv | 6 ------ 1 file changed, 6 deletions(-) delete mode 100644 dados/SEEG_EMISSAO.csv diff --git a/dados/SEEG_EMISSAO.csv b/dados/SEEG_EMISSAO.csv deleted file mode 100644 index 390c38b..0000000 --- a/dados/SEEG_EMISSAO.csv +++ /dev/null @@ -1,6 +0,0 @@ -"Categoria","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022" -"Mudança de Uso da Terra e Floresta","70346747.15899676","71780019.26727358","66197609.62467325","70596267.4275751","65561886.20244032","65837268.39167261","57888942.425540954","47957781.19114104","45902644.51174931","52758816.455465525","53541736.09887202","54583565.539362594","48897778.96005872","44792024.845131695","62041921.23971866","53873566.600383624","42938042.57816073","36201333.19042103","44185860.04666814","44958049.99438389","36218796.598589376","37999331.77184552","53872973.21679476","51958218.25629969","37191106.66246329","31902645.03827828","31308046.09885961","32342972.05444017","38049420.59290606","33720265.584785685","33245186.445011586","31815271.56421204","31412973" -"Energia","7201324.816306114","8076961.595110893","8669754.594772339","8385364.133228064","7919570.698990822","8254936.101415157","9534808.853681564","9689752.605726406","9972465.426211596","10029084.000920385","11274811.334295094","12074003.738727897","11655269.71425873","11789841.376847565","12788522.526509296","13216753.612271708","13636715.65010782","16335534.214995926","18060524.81466927","16019397.580213789","17393160.92819295","18631423.099425375","20586804.57165408","23496691.06907982","24857987.82011693","22435646.043577615","20198363.54543139","19992621.079417486","19482941.55755872","18805179.166807678","18572977.240542356","20693337.017740976","20708649.128318045" -"Processos Industriais","1059358.203125","972238.080078125","1015057.193359375","997803.40625","1097343.310546875","1165916.056640625","1182231.4241790771","1183101.3510742188","1084669.345703125","1105286.6333007812","974977.9085083008","852414.0599365234","887497.244140625","1133909.3569335938","1139437.94140625","1274966.36328125","1171726.71875","1304685.89453125","1380582.4521484375","1147463.130859375","1376282.6987304688","1428740.326171875","1315185.591796875","1402934.076171875","1507227.133178711","1500615.4096984863","1356989.982421875","1363629.826171875","1382656.044921875","1420286.357421875","1425764.544921875","1445519.732421875","1405316.076171875" -"Agropecuária","407969.64688336995","464311.5186898885","75677.5166899324","161563.7577980639","236419.56115783835","109861.29467976211","144348.21356611536","270258.4904575213","288143.26483748876","306326.8358138205","407701.99016999704","273545.6014530697","271940.3816922499","315812.993156246","373598.18056940206","216121.41182320117","237535.92404085773","415963.6867735738","478478.8300304811","577561.3866001252","545697.25139155","549484.0510563524","133795.88258101756","538826.5792514924","620487.9919842622","559163.425558085","660432.7767597907","616341.0717851928","661722.2221086083","629610.2413584616","781486.676248472","862946.258210164","586527.2183358392" -"Resíduos","934.2852138131857","1060.0047563267872","1147.97507139761","1267.747833987698","1389.7437331024557","1513.940449949354","1640.3180019175634","14882.959914520383","29386.023218363523","45172.98754963279","61864.608474969864","63243.891332149506","64581.83333480358","65960.65191957355","67270.77424505353","67294.66543662548","69006.3730891347","69217.81469470263","82771.9373126626","77245.71890473366","79236.20218062401","91191.30848306417","103804.63240623474","105108.75460392237","93472.06053519249","99466.94132822752","94123.71108865738","95843.82055485249","83152.33231425285","87241.31074410677","88474.54308027029","88595.71922969818","85944.81039243937" From 97524c3d47402d1fed1bd816a33a4e4c7d9e830f Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sun, 13 Oct 2024 17:10:08 -0300 Subject: [PATCH 77/90] Delete dados/SEEG_MUNICIPIO.csv --- dados/SEEG_MUNICIPIO.csv | 32 -------------------------------- 1 file changed, 32 deletions(-) delete mode 100644 dados/SEEG_MUNICIPIO.csv diff --git a/dados/SEEG_MUNICIPIO.csv b/dados/SEEG_MUNICIPIO.csv deleted file mode 100644 index 93d6d45..0000000 --- a/dados/SEEG_MUNICIPIO.csv +++ /dev/null @@ -1,32 +0,0 @@ -"Categoria","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022" -"São Francisco do Conde (BA)","24813.9324644804","20747.01547795534","34489.730843901634","54397.65662384033","35526.54742491245","77078.32127177715","104357.86683511734","96004.4061434269","50515.20526456833","68754.38410162926","1851075.1365776062","2292136.644932866","2277458.574255705","2185624.0235505104","2568168.053052664","2852927.5010929108","3124532.5395469666","2989121.621257186","3010357.6380844414","2589599.4235621095","2914487.9865041375","2872020.85317111","3116702.5422017574","4015658.16566658","4155413.266461849","3821280.203875661","3261449.806766361","2969729.9353437424","3006896.328572929","3067129.795607507","3343009.5479329824","2770179.0211744606","3639112.7597358227" -"NA (BA)","8157285.261618614","8946234.323626518","9591323.733444214","9330711.176196814","8963126.267350197","9351270.361180782","10629072.504423141","10791394.698988125","10961311.02972722","11039081.626408666","10345332.111516774","10606684.16359362","10237603.187159121","10677731.694230378","11308593.251118671","11136171.227763057","11173473.235113502","4196759.253953874","5056495.593196452","3865984.1001905203","4060548.652911186","4396760.828083038","4138237.224957943","4204750.776326656","4417572.631173134","3746771.2469067574","3571747.0570869446","3631437.7534193993","3850152.4793194532","4080805.381307259","3344475.0100406706","3663590.89268589","3612969.249212742" -"São Desidério (BA)","2027497.4061062336","2132357.3593767285","1345223.6585842967","2134741.332706332","1468703.5611749887","1385745.6282866","2592768.502270043","1282432.9790053368","2072409.8570552468","2461294.6773815155","2252885.355638385","2316172.090074897","2423092.566705823","1583750.2411096096","3066974.792125225","2341863.193903446","2107362.5080556273","2577842.6315909624","3416415.552082896","2900696.702052146","1772374.3294985592","3112675.8256301284","4062370.4885092974","2053871.137726359","1497447.8760379031","1409994.6917748153","1116096.0203722715","1159696.5428080857","1472617.797197923","2255718.6051508784","3376775.8307609633","3514056.4136802256","3049611.022967994" -"Formosa do Rio Preto 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(BA)","231658.1245412156","191483.80258112773","219685.9660123475","171353.614052888","283551.6462628227","184657.44034951925","127544.41685426235","230861.6879107952","81655.36783719063","158184.06833267212","47122.98449444771","129027.83331727982","103130.47824954987","111148.20588421822","140435.67728686333","107092.13986420631","80234.77570199966","67256.46044659615","36327.999911144376","52843.087528169155","76613.26773262024","61282.33580595255","60271.03100925684","67765.54229784012","56471.033737659454","42198.408504247665","86714.2442240715","80651.70583343506","107027.40537977219","92374.26839160919","303004.21062493324","79960.0312911272","299641.8355014324" -"Outros","56408760.469752915","58378251.17513868","54343423.45500681","55375826.19361142","50329059.53862479","51375192.21552278","43422069.78418182","36577058.14514905","32131484.060378954","38295841.2301505","37911622.918441065","36044420.987062514","33108269.613281","31226860.418836053","34304895.79487764","35375944.23826898","26160931.754101876","27008016.526390973","30299298.66412468","32709996.63479566","28582975.538114786","28068405.3743207","32935726.764927857","37306054.30012669","30632436.744741563","27969379.714539282","28842487.962015934","28821440.21669244","33151819.845230307","23509866.457189918","21630402.17458826","21942956.076945152","23247180.31881143" From e5866d76c206ea400f1754caebc921ed72e804f6 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sun, 13 Oct 2024 17:11:19 -0300 Subject: [PATCH 78/90] Delete dados/projeto_final_paloma_anne.ipynb --- dados/projeto_final_paloma_anne.ipynb | 3882 ------------------------- 1 file changed, 3882 deletions(-) delete mode 100644 dados/projeto_final_paloma_anne.ipynb diff --git a/dados/projeto_final_paloma_anne.ipynb b/dados/projeto_final_paloma_anne.ipynb deleted file mode 100644 index d5da8d6..0000000 --- a/dados/projeto_final_paloma_anne.ipynb +++ /dev/null @@ -1,3882 +0,0 @@ -{ - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "provenance": [], - "include_colab_link": true - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, - "cells": [ - { - "cell_type": "markdown", - "metadata": { - "id": "view-in-github", - "colab_type": "text" - }, - "source": [ - "\"Open" - ] - }, - { - "cell_type": "markdown", - "source": [ - "**Projeto Final de Análise de Dados**\n", - "\n", - "Desenvolvido por:\n", - "\n", - "Paloma Avena palomaavena@gmail.com\n", - "\n", - "Anne Ribeiro anne.asribeiro@gmail.com\n", - "\n" - ], - "metadata": { - "id": "4nPdko9j_PEt" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Contexto**\n", - "\n", - "Nos últimos anos, a questão do desmatamento e suas consequências ambientais têm se tornado uma preocupação crescente. A Bahia, por ser um estado de grande diversidade biológica, possui áreas significativas de florestas e biomas que desempenham um papel vital na regulação climática. O desmatamento pode impactar diretamente as emissões de dióxido de carbono (CO₂), contribuindo para o aquecimento global e alterações climáticas." - ], - "metadata": { - "id": "WIMvI1tp_XVU" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Etapas do projeto:**\n", - "\n", - "\n", - "1. Selecionar a Base de Dados\n", - "2. Definir Objetivo e Perguntas\n", - "3. Realizar Análise Exploratória\n", - "4. Gerar Base Final\n", - "5. Criar Visualizações no Tableau\n", - "6. Preparar Apresentação Final\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ], - "metadata": { - "id": "uk5GxJpZ_ouB" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Bases de dados **\n", - "\n", - "Base 1: MapBiomas Alertas\n", - "https://plataforma.alerta.mapbiomas.org/downloads\n", - "\n", - "Dados de áreas(ha) desmatada por Municipío, Fator de pressão e Biomas no estado da Bahia.\n", - "\n", - "Base 2: Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)\n", - "https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA..\n", - "\n", - "\n", - "Dados de CO2 em toneladas por Municípios de Mudança de uso da terra e floresta." - ], - "metadata": { - "id": "vqYQ20MD_orK" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Objetivo Geral:**\n", - "\n", - "Este projeto tem como objetivo analisar os dados de desmatamento e emissões de CO₂ no estado da Bahia entre 2019 e 2022, a fim de entender como o desmatamento tem impactado as emissões de carbono no período da Pandemia.\n" - ], - "metadata": { - "id": "ZypjoEDB_ooh" - } - }, - { - "cell_type": "markdown", - "source": [ - "**As perguntas norteadoras deste projeto são:**\n", - "\n", - "1. Qual a taxa de desmatamento nos municípios e biomas da Bahia entre 2019 e 2022?\n", - "2. Qual a taxa de CO2 emitido nos municípios da Bahia entre 2019 e 2022, devido a Mudança de uso da terra e floresta?\n", - "3. Existe uma correlação entre as áreas desmatadas e o aumento das emissões de CO₂?\n", - "4. Como a pandemia afetou as taxas de desmatamento e emissões de CO₂?\n" - ], - "metadata": { - "id": "mrO_v4O1_olp" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Desafios:**\n", - "\n", - "1. Identificar regiões com maior desmatamento e correlacionar com dados de emissões.\n", - "2. Analisar o efeito da pandemia nas taxas de desmatamento e emissões.\n", - "\n", - "**Direcionamentos:**\n", - "\n", - "\n", - "Utilizamos técnicas de análise de dados para identificar padrões e correlações entre as variáveis:\n", - "\n", - "1. Análise temporal: Avaliamos a evolução do desmatamento e das emissões ao longo dos anos, de 2019 a 2022.\n", - "\n", - "2. Correlações regionais: Mapeamos as emissões de CO₂ e áreas desmatadas por município, identificando as regiões da Bahia mais afetadas. Descobrimos que áreas como o Oeste da Bahia, caracterizadas pelo agronegócio, registram as maiores emissões.\n", - "\n", - "3. Impacto da pandemia: Durante a pandemia, observamos uma pequena queda nas emissões devido à redução das atividades econômicas, mas o desmatamento continuou a subir em algumas regiões, mostrando a resiliência desse problema mesmo em crises globais." - ], - "metadata": { - "id": "RNIrgkoWZRWr" - } - }, - { - "cell_type": "markdown", - "source": [ - "**Ferramentas Utilizadas:**\n", - "\n", - "Banco de dados\n", - "Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc.\n", - "Tableau: Para criar as visualizações finais e apresentar os insights gerados.\n", - "GitHub: Para versionamento do projeto e documentação.\n", - "Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem.\n", - "\n" - ], - "metadata": { - "id": "VV5GKSMc_oia" - } - }, - { - "cell_type": "markdown", - "source": [ - "Instalando o **Python**: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador.\n", - "\n", - "Instalando o **Visual Studio Code (VS Code)**: Acesse o site (https://code.visualstudio.com/).\n", - "\n", - "**Extensões** que irão tornar o processo de desenvolvimento mais simples e intuitivo:\n", - "\n", - "SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos SQLite (.db), executar consultas SQL, visualizar dados e até mesmo criar tabelas e colunas diretamente no VS Code.\n", - "\n", - "SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros.\n", - "\n", - "\n", - "**Bibliotecas e módulos:**\n", - "\n", - "sqlite3\n", - "csv\n", - "Pandas\n", - "Seaborn\n", - "Matplotlib\n" - ], - "metadata": { - "id": "n33nNlCqgZFC" - } - }, - { - "cell_type": "markdown", - "source": [ - "\n", - "**Análise exploratória de dados**\n", - "\n" - ], - "metadata": { - "id": "miL-Xxpd_niS" - } - }, - { - "cell_type": "markdown", - "source": [ - "**1. DADOS DE CO2 - SEEG**\n", - "\n", - "\n", - "Vamos utilizar a coluna 'categoria'= municipio e total de co2 emitido em tonelada por vetor de emissão, no caso 'Mudança de Uso da Terra e Floresta' dos anos de 2019 a 2022.\n" - ], - "metadata": { - "id": "c48LiFSG_Fft" - } - }, - { - "cell_type": "markdown", - "source": [ - "Coleta de dados CO2 Bahia, SEEG:\n", - "\n", - "\n", - "link: https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-bahia&_gl=1*gambxz*_ga*MTk5NTgxNjM5MS4xNzI1NjQzNTE1*_ga_XZWSWEJDWQ*MTcyNTY0MzUxNS4xLjAuMTcyNTY0MzUxNS4wLjAuMA..blob:https://plataforma.seeg.eco.br/845fd445-2d02-43a9-bb87-14435bfb6c1b\n", - "\n", - "\n" - ], - "metadata": { - "id": "vo84te4Y7n-P" - } - }, - { - "cell_type": "markdown", - "source": [ - "1. **DADOS CO2 - SEEG**" - ], - "metadata": { - "id": "rfcw5b-JebFU" - } - }, - { - "cell_type": "code", - "source": [], - "metadata": { - "id": "-5gVjdMxUarT" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Importando os dados das planilhas\n", - "\n", - "# Primeiro, instale a biblioteca pandas se ainda não estiver instalada\n", - "!pip install pandas\n", - "\n", - "# Importando os dados\n", - "import pandas as pd\n", - "import csv\n", - "\n", - "# Carregando os dois arquivos CSV\n", - "# Caso esteja rodando localmente, altere o caminho dos arquivos, no Colab, você pode fazer upload dos arquivos e colocar o nome do arquivo abaixo:\n", - "\n", - "df1 = pd.read_csv('SEEG.csv')\n", - "\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "print(df1.head())\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "dxaI-_ekeF9W", - "outputId": "02911a2b-acec-4c7a-864f-76ddb6769cff", - "collapsed": true - }, - "execution_count": 236, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.2.2)\n", - "Requirement already satisfied: numpy>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from pandas) (1.26.4)\n", - "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas) (2.8.2)\n", - "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", - "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", - "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n", - " Categoria 2019 2020 2021 \\\n", - "0 Desmatamento 3.280686e+07 3.209873e+07 3.095458e+07 \n", - "1 Regeneração 5.500600e+05 4.507720e+05 5.208200e+05 \n", - "2 Outras mudanças de uso da terra 3.633490e+05 6.956830e+05 3.398700e+05 \n", - "\n", - " 2022 \n", - "0 30209999 \n", - "1 714413 \n", - "2 488561 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "df1.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "248fsSuvOBAa", - "outputId": "cd7ea540-df23-49df-c3e7-2d37efe64440", - "collapsed": true - }, - "execution_count": 237, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 3 entries, 0 to 2\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Categoria 3 non-null object \n", - " 1 2019 3 non-null float64\n", - " 2 2020 3 non-null float64\n", - " 3 2021 3 non-null float64\n", - " 4 2022 3 non-null int64 \n", - "dtypes: float64(3), int64(1), object(1)\n", - "memory usage: 248.0+ bytes\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Selecionar as colunas específicas\n", - "\n", - "df_1 = df1[['Categoria','2019', '2020', '2021', '2022']]\n", - "print(df_1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "7cGDNRgEd0wi", - "outputId": "a8e36ec7-e6f1-43d2-a92d-844111b50ee0", - "collapsed": true - }, - "execution_count": 239, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria 2019 2020 2021 \\\n", - "0 Desmatamento 3.280686e+07 3.209873e+07 3.095458e+07 \n", - "1 Regeneração 5.500600e+05 4.507720e+05 5.208200e+05 \n", - "2 Outras mudanças de uso da terra 3.633490e+05 6.956830e+05 3.398700e+05 \n", - "\n", - " 2022 \n", - "0 30209999 \n", - "1 714413 \n", - "2 488561 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Altera os nomes das colunas\n", - "\n", - "df_1.columns = ['Municípios', '2019', '2020', '2021', '2022']\n", - "print(df_1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "L6d5VRWSrfKE", - "outputId": "0e941c1a-1152-4237-8a9d-ea8793361dd2", - "collapsed": true - }, - "execution_count": 4, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 2021 \\\n", - "0 São Desidério (BA) 2.024108e+06 3.091203e+06 3.159580e+06 \n", - "1 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 2.299738e+06 \n", - "2 Jaborandi (BA) 1.706968e+06 1.744004e+06 2.051921e+06 \n", - "3 Correntina (BA) 1.545573e+06 1.060526e+06 1.585476e+06 \n", - "4 Barreiras (BA) 1.568927e+06 1.179766e+06 9.583063e+05 \n", - "5 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 7.619633e+05 \n", - "6 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 9.987006e+05 \n", - "7 Jequié (BA) 2.491692e+05 1.862657e+05 1.639264e+05 \n", - "8 Encruzilhada (BA) 4.038959e+05 4.516205e+05 5.873154e+05 \n", - "9 Baianópolis (BA) 6.074368e+05 7.908150e+05 1.700892e+06 \n", - "10 Valença (BA) 2.476738e+05 4.276377e+05 1.953325e+05 \n", - "11 Cocos (BA) 9.593941e+05 1.218387e+06 1.229645e+06 \n", - "12 Belmonte (BA) 3.904032e+05 3.505588e+05 3.314850e+05 \n", - "13 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 6.542620e+05 \n", - "14 Barra (BA) 2.260111e+05 1.397781e+05 7.905882e+04 \n", - "15 Cotegipe (BA) 3.311638e+05 5.599601e+05 2.925473e+05 \n", - "16 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 7.243660e+04 \n", - "17 Itagibá (BA) 1.216756e+05 7.210208e+04 1.114533e+05 \n", - "18 Itapetinga (BA) 5.707418e+04 4.613513e+04 2.072777e+04 \n", - "19 Iguaí (BA) 8.222719e+04 1.274713e+05 1.559627e+05 \n", - "20 Maraú (BA) 8.020749e+04 1.701269e+05 1.032113e+05 \n", - "21 Ibicuí (BA) 1.696392e+04 3.524000e+04 2.780070e+04 \n", - "22 Guaratinga (BA) 2.117080e+05 2.516566e+05 1.717426e+05 \n", - "23 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 5.956842e+04 \n", - "24 Camamu (BA) 2.214714e+05 4.347414e+05 1.635482e+05 \n", - "25 Itambé (BA) 1.001077e+05 1.444300e+05 6.526349e+04 \n", - "26 Dário Meira (BA) 9.440196e+04 9.250477e+04 1.017979e+05 \n", - "27 Igrapiúna (BA) 2.576941e+05 3.782366e+05 1.486217e+05 \n", - "28 Ilhéus (BA) 1.588721e+05 1.912059e+05 1.317151e+05 \n", - "29 Itarantim (BA) 3.847215e+04 6.031930e+04 1.040533e+04 \n", - "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 \n", - "\n", - " 2022 \n", - "0 2729422 \n", - "1 2432263 \n", - "2 1734316 \n", - "3 1473135 \n", - "4 996163 \n", - "5 670183 \n", - "6 569631 \n", - "7 498001 \n", - "8 414662 \n", - "9 413632 \n", - "10 378871 \n", - "11 367625 \n", - "12 354868 \n", - "13 343098 \n", - "14 312169 \n", - "15 297663 \n", - "16 292758 \n", - "17 288483 \n", - "18 285382 \n", - "19 277970 \n", - "20 275953 \n", - "21 245755 \n", - "22 243882 \n", - "23 238334 \n", - "24 232571 \n", - "25 227632 \n", - "26 217077 \n", - "27 210971 \n", - "28 209209 \n", - "29 203154 \n", - "30 13978140 \n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remover informações de estado (como \"(BA)\") de 'Municípios'\n", - "df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n", - "\n", - "print(df_1)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "aYveX-t4rJBb", - "outputId": "30e8316b-08b4-498b-eee8-88f64b5141bd", - "collapsed": true - }, - "execution_count": 5, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios 2019 2020 2021 2022\n", - "0 São Desidério 2.024108e+06 3.091203e+06 3.159580e+06 2729422\n", - "1 Formosa do Rio Preto 4.220327e+06 3.073766e+06 2.299738e+06 2432263\n", - "2 Jaborandi 1.706968e+06 1.744004e+06 2.051921e+06 1734316\n", - "3 Correntina 1.545573e+06 1.060526e+06 1.585476e+06 1473135\n", - "4 Barreiras 1.568927e+06 1.179766e+06 9.583063e+05 996163\n", - "5 Riachão das Neves 5.801730e+05 1.085054e+06 7.619633e+05 670183\n", - "6 Santa Rita de Cássia 6.947971e+05 8.595094e+05 9.987006e+05 569631\n", - "7 Jequié 2.491692e+05 1.862657e+05 1.639264e+05 498001\n", - "8 Encruzilhada 4.038959e+05 4.516205e+05 5.873154e+05 414662\n", - "9 Baianópolis 6.074368e+05 7.908150e+05 1.700892e+06 413632\n", - "10 Valença 2.476738e+05 4.276377e+05 1.953325e+05 378871\n", - "11 Cocos 9.593941e+05 1.218387e+06 1.229645e+06 367625\n", - "12 Belmonte 3.904032e+05 3.505588e+05 3.314850e+05 354868\n", - "13 Luís Eduardo Magalhães 8.004357e+05 1.523413e+06 6.542620e+05 343098\n", - "14 Barra 2.260111e+05 1.397781e+05 7.905882e+04 312169\n", - "15 Cotegipe 3.311638e+05 5.599601e+05 2.925473e+05 297663\n", - "16 Ibirapitanga 8.620563e+04 2.963629e+05 7.243660e+04 292758\n", - "17 Itagibá 1.216756e+05 7.210208e+04 1.114533e+05 288483\n", - "18 Itapetinga 5.707418e+04 4.613513e+04 2.072777e+04 285382\n", - "19 Iguaí 8.222719e+04 1.274713e+05 1.559627e+05 277970\n", - "20 Maraú 8.020749e+04 1.701269e+05 1.032113e+05 275953\n", - "21 Ibicuí 1.696392e+04 3.524000e+04 2.780070e+04 245755\n", - "22 Guaratinga 2.117080e+05 2.516566e+05 1.717426e+05 243882\n", - "23 Nilo Peçanha 9.027649e+04 1.546260e+05 5.956842e+04 238334\n", - "24 Camamu 2.214714e+05 4.347414e+05 1.635482e+05 232571\n", - "25 Itambé 1.001077e+05 1.444300e+05 6.526349e+04 227632\n", - "26 Dário Meira 9.440196e+04 9.250477e+04 1.017979e+05 217077\n", - "27 Igrapiúna 2.576941e+05 3.782366e+05 1.486217e+05 210971\n", - "28 Ilhéus 1.588721e+05 1.912059e+05 1.317151e+05 209209\n", - "29 Itarantim 3.847215e+04 6.031930e+04 1.040533e+04 203154\n", - "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 13978140\n" - ] - }, - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":2: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", - " df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Converta todas as colunas de anos para inteiro\n", - "\n", - "df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int)\n", - "\n", - "print(df_1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "6toQkSKTetTx", - "outputId": "97ea43a6-df71-4c2f-e3f8-bc3644a1babc", - "collapsed": true - }, - "execution_count": 240, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria 2019 2020 2021 2022\n", - "0 Desmatamento 32806856 32098731 30954581 30209999\n", - "1 Regeneração 550060 450772 520820 714413\n", - "2 Outras mudanças de uso da terra 363349 695683 339870 488561\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Contagem de valores nulos em cada coluna\n", - "\n", - "nulos_por_coluna1 = df_1.isnull().sum()\n", - "print(nulos_por_coluna1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "4MuBo8vKgg6H", - "outputId": "4db03a8a-e41d-45b1-987d-b52a454e2660", - "collapsed": true - }, - "execution_count": 241, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Categoria 0\n", - "2019 0\n", - "2020 0\n", - "2021 0\n", - "2022 0\n", - "dtype: int64\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Remove linhas duplicadas\n", - "\n", - "df_sem_duplicatas1 = df_1.drop_duplicates()\n", - "print(df_sem_duplicatas1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "1ugZRlahiJ9B", - "outputId": "fd08ad02-407a-478e-d4e2-3dcc1611c8c3", - "collapsed": true - }, - "execution_count": 242, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria 2019 2020 2021 2022\n", - "0 Desmatamento 32806856 32098731 30954581 30209999\n", - "1 Regeneração 550060 450772 520820 714413\n", - "2 Outras mudanças de uso da terra 363349 695683 339870 488561\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Calcular o total da coluna\n", - "\n", - "valor_total = df_1['2019'].sum()\n", - "print(\"O valor total da coluna é:\", valor_total)\n", - "\n", - "valor_total = df_1['2020'].sum()\n", - "print(\"O valor total da coluna é:\", valor_total)\n", - "\n", - "valor_total = df_1['2021'].sum()\n", - "print(\"O valor total da coluna é:\", valor_total)\n", - "\n", - "valor_total = df_1['2022'].sum()\n", - "print(\"O valor total da coluna é:\", valor_total)" - ], - "metadata": { - "id": "ONOhelsVZ1g8", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "15a8c09e-9ad3-473b-e4ec-288749a8a1dc", - "collapsed": true - }, - "execution_count": 243, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "O valor total da coluna é: 33720265\n", - "O valor total da coluna é: 33245186\n", - "O valor total da coluna é: 31815271\n", - "O valor total da coluna é: 31412973\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df_1.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "collapsed": true, - "id": "12qoAGMmepb8", - "outputId": "5dcaf040-b283-46e3-e451-fc65a881d3cb" - }, - "execution_count": 14, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 31 entries, 0 to 30\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Municípios 31 non-null object\n", - " 1 2019 31 non-null int64 \n", - " 2 2020 31 non-null int64 \n", - " 3 2021 31 non-null int64 \n", - " 4 2022 31 non-null int64 \n", - "dtypes: int64(4), object(1)\n", - "memory usage: 1.3+ KB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Transformar os dados para um formato longo (melt), anos para uma coluna\n", - "\n", - "df_sem_duplicatas1 = pd.melt(df_1, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido')\n", - "\n", - "print(df_sem_duplicatas1)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "LZkN9n9JkTVG", - "outputId": "851ac84d-2afa-4d62-ef67-58963042bada", - "collapsed": true - }, - "execution_count": 15, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios Ano CO2_emitido\n", - "0 São Desidério 2019 2024107\n", - "1 Formosa do Rio Preto 2019 4220327\n", - "2 Jaborandi 2019 1706967\n", - "3 Correntina 2019 1545572\n", - "4 Barreiras 2019 1568927\n", - ".. ... ... ...\n", - "119 Dário Meira 2022 217077\n", - "120 Igrapiúna 2022 210971\n", - "121 Ilhéus 2022 209209\n", - "122 Itarantim 2022 203154\n", - "123 Outros 2022 13978140\n", - "\n", - "[124 rows x 3 columns]\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Transformar os dados para um formato longo (melt), anos para uma coluna\n", - "\n", - "df_sem_duplicatas1 = pd.melt(df_1, id_vars=['Categoria'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido')\n", - "\n", - "print(df_sem_duplicatas1)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "pT2gptbXVSrv", - "outputId": "93706f00-47f3-43a9-ca36-1388e00d43d2" - }, - "execution_count": 244, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria Ano CO2_emitido\n", - "0 Desmatamento 2019 32806856\n", - "1 Regeneração 2019 550060\n", - "2 Outras mudanças de uso da terra 2019 363349\n", - "3 Desmatamento 2020 32098731\n", - "4 Regeneração 2020 450772\n", - "5 Outras mudanças de uso da terra 2020 695683\n", - "6 Desmatamento 2021 30954581\n", - "7 Regeneração 2021 520820\n", - "8 Outras mudanças de uso da terra 2021 339870\n", - "9 Desmatamento 2022 30209999\n", - "10 Regeneração 2022 714413\n", - "11 Outras mudanças de uso da terra 2022 488561\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "import pandas as pd\n", - "\n", - "# Supondo que você já tenha lido seu CSV em um DataFrame\n", - "# df = pd.read_csv('seu_arquivo.csv')\n", - "\n", - "# Filtrar o DataFrame para ficar apenas com os dados de desmatamento\n", - "# Ajuste a condição abaixo de acordo com a estrutura do seu DataFrame\n", - "df_desmatamento = df_sem_duplicatas1[df_sem_duplicatas1['Categoria'] == 'Desmatamento'] # Substitua 'Tipo' e 'Desmatamento' pelos nomes corretos\n", - "\n", - "# Exibir o DataFrame filtrado\n", - "print(df_desmatamento)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "BTALRwNfVtz6", - "outputId": "8c0af279-113e-4857-8f3d-08c9a3943987" - }, - "execution_count": 245, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Categoria Ano CO2_emitido\n", - "0 Desmatamento 2019 32806856\n", - "3 Desmatamento 2020 32098731\n", - "6 Desmatamento 2021 30954581\n", - "9 Desmatamento 2022 30209999\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df1_MUN = df_sem_duplicatas1.groupby('Municípios')['CO2_emitido'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df1_MUN.head())\n", - "\n", - "df1_ANO = df_sem_duplicatas1.groupby('Ano')['CO2_emitido'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df1_ANO.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "-Z0j0G6bh_kP", - "outputId": "832b2d8d-8d3f-40ef-d393-a57f3c52259f" - }, - "execution_count": 16, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios CO2_emitido\n", - "0 Baianópolis 3512774\n", - "1 Barra 757016\n", - "2 Barreiras 4703162\n", - "3 Belmonte 1427314\n", - "4 Camamu 1052331\n", - " Ano CO2_emitido\n", - "0 2019 33720252\n", - "1 2020 33245171\n", - "2 2021 31815256\n", - "3 2022 31412973\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "# Conta os códigos únicos de municípios\n", - "num_municipios = df_1['Municípios'].nunique()\n", - "\n", - "print(f\"Existem {num_municipios} municípios únicos no arquivo CSV.\")\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "collapsed": true, - "id": "QPuTywSvfD-z", - "outputId": "6bb6914e-8d9d-453e-feb9-89db5c74fe33" - }, - "execution_count": 19, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Existem 31 municípios únicos no arquivo CSV.\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "# Obtém os códigos únicos de municípios\n", - "municipios_unicos = df_1['Municípios'].unique()\n", - "\n", - "# Exibe os códigos dos municípios únicos\n", - "print(municipios_unicos)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "collapsed": true, - "id": "V_x5uEDtfmmz", - "outputId": "dde36fc2-2e1d-44f9-ca1a-5211769ed330" - }, - "execution_count": 20, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "['São Desidério' 'Formosa do Rio Preto' 'Jaborandi' 'Correntina'\n", - " 'Barreiras' 'Riachão das Neves' 'Santa Rita de Cássia' 'Jequié'\n", - " 'Encruzilhada' 'Baianópolis' 'Valença' 'Cocos' 'Belmonte'\n", - " 'Luís Eduardo Magalhães' 'Barra' 'Cotegipe' 'Ibirapitanga' 'Itagibá'\n", - " 'Itapetinga' 'Iguaí' 'Maraú' 'Ibicuí' 'Guaratinga' 'Nilo Peçanha'\n", - " 'Camamu' 'Itambé' 'Dário Meira' 'Igrapiúna' 'Ilhéus' 'Itarantim' 'Outros']\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Verificar se 'OUTROS' está presente nos dados\n", - "outros_presentes = df_1[df_1['Municípios'].str.contains('OUTROS', case=False, na=False)]\n", - "print(\"Linhas com 'OUTROS' \")\n", - "print(outros_presentes)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "gFwAuiaIoSZS", - "outputId": "5b7a8584-3928-4fbb-9615-69a6d4f6b8ea", - "collapsed": true - }, - "execution_count": 21, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Linhas com 'OUTROS' \n", - " Municípios 2019 2020 2021 2022\n", - "30 Outros 15546451 13047762 13420866 13978140\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Salvando o arquivo final em um novo CSV\n", - "\n", - "df_sem_duplicatas1.to_csv('co2.csv', index=False, encoding='utf-8')\n", - "\n", - "print(df_sem_duplicatas1)\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "rAUV5SOqQPex", - "outputId": "17f329f6-533b-4dab-e84b-c03a3fd72e6a", - "collapsed": true - }, - "execution_count": 22, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios Ano CO2_emitido\n", - "0 São Desidério 2019 2024107\n", - "1 Formosa do Rio Preto 2019 4220327\n", - "2 Jaborandi 2019 1706967\n", - "3 Correntina 2019 1545572\n", - "4 Barreiras 2019 1568927\n", - ".. ... ... ...\n", - "119 Dário Meira 2022 217077\n", - "120 Igrapiúna 2022 210971\n", - "121 Ilhéus 2022 209209\n", - "122 Itarantim 2022 203154\n", - "123 Outros 2022 13978140\n", - "\n", - "[124 rows x 3 columns]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**Visualização dados CO2**" - ], - "metadata": { - "id": "RrlcdcwhzLDa" - } - }, - { - "cell_type": "code", - "source": [ - "# Importar bibliotecas necessárias\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "# Carregar os dados integrados\n", - "df_co2 = pd.read_csv('co2.csv')\n", - "\n", - "# Exibir as primeiras linhas do DataFrame para verificar se os dados foram carregados corretamente\n", - "print(df_co2.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "URZM1F1GzKtV", - "outputId": "167984d9-6e73-41e3-80f9-bbc4f5eaddf1", - "collapsed": true - }, - "execution_count": 23, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios Ano CO2_emitido\n", - "0 São Desidério 2019 2024107\n", - "1 Formosa do Rio Preto 2019 4220327\n", - "2 Jaborandi 2019 1706967\n", - "3 Correntina 2019 1545572\n", - "4 Barreiras 2019 1568927\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "df_MUN = df_co2.groupby('Municípios')['CO2_emitido'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df_MUN.head())\n", - "\n", - "df_ANO = df_co2.groupby('Ano')['CO2_emitido'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df_ANO.head())\n", - "\n", - "\n", - "# Somar os valores da coluna AREAHA\n", - "total_co2 = df_co2['CO2_emitido'].sum()\n", - "\n", - "print(f'Total : {total_co2:.2f}')" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "-69nt2I0zQ21", - "outputId": "5ab69152-0fc8-462d-fed3-f3a9c3fbcede", - "collapsed": true - }, - "execution_count": 24, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios CO2_emitido\n", - "0 Baianópolis 3512774\n", - "1 Barra 757016\n", - "2 Barreiras 4703162\n", - "3 Belmonte 1427314\n", - "4 Camamu 1052331\n", - " Ano CO2_emitido\n", - "0 2019 33720252\n", - "1 2020 33245171\n", - "2 2021 31815256\n", - "3 2022 31412973\n", - "Total : 130193652.00\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Definir o estilo para os gráficos\n", - "sns.set(style=\"whitegrid\")\n" - ], - "metadata": { - "id": "pWKiceDozRKO" - }, - "execution_count": 25, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Agrupar os dados por ano e somar as emissões\n", - "grouped = df_co2.groupby('Ano')['CO2_emitido'].sum().reset_index()\n", - "\n", - "# Criar o gráfico de barras para CO₂ emitido\n", - "plt.figure(figsize=(10, 6))\n", - "\n", - "# Definir uma paleta de cores distinta\n", - "colors = sns.color_palette(\"husl\", len(grouped['Ano'].unique()))\n", - "\n", - "# Criar o gráfico de barras, utilizando as cores definidas\n", - "sns.barplot(x='Ano', y='CO2_emitido', data=grouped, palette=colors, errorbar=None)\n", - "\n", - "plt.title('CO₂ emitido por Ano na Bahia', fontsize=16)\n", - "plt.xlabel('Ano', fontsize=12)\n", - "plt.ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", - "plt.xticks(rotation=45)\n", - "plt.tight_layout() # Ajusta o layout para evitar sobreposição\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "koCDM0wRD7wi", - "outputId": "7e2f15e7-d53a-47d5-8de7-60b223cd8ac3", - "collapsed": true - }, - "execution_count": 26, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":11: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='Ano', y='CO2_emitido', data=grouped, palette=colors, errorbar=None)\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "print(df_co2)\n", - "print(df_co2['CO2_emitido'].isnull().sum()) # Checar valores ausentes\n", - "print(df_co2['CO2_emitido'].dtype) # Verificar o tipo de dados\n", - "print(df_co2['Municípios'].nunique()) # Número de municípios únicos\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "5vbj_fIx0NOW", - "outputId": "4943cda6-4628-41dc-85fe-820ab93c6e91", - "collapsed": true - }, - "execution_count": 29, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Municípios Ano CO2_emitido\n", - "0 São Desidério 2019 2024107\n", - "1 Formosa do Rio Preto 2019 4220327\n", - "2 Jaborandi 2019 1706967\n", - "3 Correntina 2019 1545572\n", - "4 Barreiras 2019 1568927\n", - ".. ... ... ...\n", - "118 Itambé 2022 227632\n", - "119 Dário Meira 2022 217077\n", - "120 Igrapiúna 2022 210971\n", - "121 Ilhéus 2022 209209\n", - "122 Itarantim 2022 203154\n", - "\n", - "[120 rows x 3 columns]\n", - "0\n", - "int64\n", - "30\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "# Filtrar para remover os municípios classificados como 'outros'\n", - "df_co2 = df_co2[df_co2['Municípios'] != 'Outros']\n", - "\n", - "# Agrupar por ano e município, somando as emissões\n", - "grouped = df_co2.groupby(['Ano', 'Municípios'])['CO2_emitido'].sum().reset_index()\n", - "\n", - "# Filtrar para remover municípios com emissão zero\n", - "grouped = grouped[grouped['CO2_emitido'] > 0]\n", - "\n", - "# Criar gráficos para cada ano\n", - "years = grouped['Ano'].unique() # Obter anos únicos\n", - "\n", - "plt.figure(figsize=(12, 10))\n", - "\n", - "# Definir uma paleta de cores distinta\n", - "colors = sns.color_palette(\"husl\", len(years))\n", - "\n", - "for i, year in enumerate(years):\n", - " # Filtrar os 10 maiores municípios para cada ano\n", - " top_10_municipios = grouped[grouped['Ano'] == year].nlargest(10, 'CO2_emitido')\n", - "\n", - " # Criar um subgráfico\n", - " plt.subplot(len(years), 1, i + 1)\n", - "\n", - " # Criar o gráfico de barras\n", - " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", - " palette=[colors[i]], dodge=False)\n", - "\n", - " plt.title(f'Top 10 Municípios com Mais Emissões de CO₂ em {year}', fontsize=14)\n", - " plt.xlabel('Emissões de CO₂ (ton)', fontsize=12)\n", - " plt.ylabel('Município', fontsize=12)\n", - " plt.xticks(rotation=45)\n", - "\n", - " # Adicionar a legenda específica para cada gráfico\n", - " handles = [plt.Line2D([0], [0], color=colors[i], lw=4)]\n", - " plt.legend(handles, [year], title='Ano', frameon=False)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "-FpXsxt10NBG", - "outputId": "3efc3662-10dc-4c62-df49-2eb43fd04708", - "collapsed": true - }, - "execution_count": 30, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":26: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", - ":26: UserWarning: \n", - "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", - " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", - ":26: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", - ":26: UserWarning: \n", - "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", - " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", - ":26: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", - ":26: UserWarning: \n", - "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", - " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", - ":26: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", - ":26: UserWarning: \n", - "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", - " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "# Filtrar para remover os municípios classificados como 'outros'\n", - "df_co2 = df_co2[df_co2['Municípios'] != 'Outros']\n", - "\n", - "# Agrupar por município, somando as áreas desmatadas ao longo dos anos\n", - "grouped = df_co2.groupby(['Municípios'])['CO2_emitido'].sum().reset_index()\n", - "\n", - "# Filtrar para manter apenas os 10 maiores municípios\n", - "top_10_municipios = grouped.nlargest(10, 'CO2_emitido')\n", - "\n", - "# Definir uma paleta de cores distinta\n", - "colors = sns.color_palette(\"husl\", len(top_10_municipios))\n", - "\n", - "# Criar gráfico de barras para os 10 municípios\n", - "plt.figure(figsize=(10, 6))\n", - "sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios, palette=colors)\n", - "plt.title('Top 10 Municípios com Mais Emissões de CO₂ (2019 a 2020)', fontsize=14)\n", - "plt.xlabel('Emissões de CO₂ (ton)', fontsize=12)\n", - "plt.ylabel('Município', fontsize=12)\n", - "plt.xticks(rotation=45)\n", - "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 0 - }, - "id": "iNmKZdwKLH4P", - "outputId": "3f76ed57-f218-41ad-ce9e-6637a22301dd", - "collapsed": true - }, - "execution_count": 31, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":15: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios, palette=colors)\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [], - "metadata": { - "id": "rDNJRYEmQc3Y" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "**2. DADOS DESMATAMENTO - MAPBIOMAS**" - ], - "metadata": { - "id": "4b3RXVJPee-P" - } - }, - { - "cell_type": "code", - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt" - ], - "metadata": { - "id": "GGWC3zlhehXu" - }, - "execution_count": 113, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# importando dados\n", - "\n", - "df3 = pd.read_csv('mapbiomas_ba.csv')\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "\n", - "print(df3.head())\n", - "\n", - "df3.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "dOTnbHapgsxF", - "outputId": "545f9d30-3b13-4081-a38b-b520398d4bd7", - "collapsed": true - }, - "execution_count": 135, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " CODEALERTA FONTE BIOMA ESTADO MUNICIPIO AREAHA \\\n", - "0 1226926 {SAD-CAATINGA} Caatinga BAHIA Iaçu 2.96 \n", - "1 1226922 {SAD-CAATINGA} Caatinga BAHIA Miguel Calmon 1.69 \n", - "2 1227303 {SAD-CAATINGA} Caatinga BAHIA Buritirama 2.05 \n", - "3 1227296 {SAD-CAATINGA} Caatinga BAHIA Piatã 0.69 \n", - "4 1227291 {SAD-CAATINGA} Caatinga BAHIA Cotegipe 23.97 \n", - "\n", - " ANODETEC DATADETEC DTIMGANT DTIMGDEP DTPUBLI VPRESSAO \n", - "0 2024.0 2024/01/01 2023/01/26 2024/02/14 2024/04/30 agriculture \n", - "1 2024.0 2024/01/01 2023/06/30 2024/01/31 2024/04/30 agriculture \n", - "2 2024.0 2024/01/01 2023/03/17 2023/10/10 2024/04/30 agriculture \n", - "3 2024.0 2024/01/01 2023/04/27 2023/06/17 2024/04/30 agriculture \n", - "4 2024.0 2024/01/01 2023/08/12 2023/10/17 2024/04/30 agriculture \n", - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 12 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 CODEALERTA 28397 non-null int64 \n", - " 1 FONTE 28397 non-null object \n", - " 2 BIOMA 28397 non-null object \n", - " 3 ESTADO 28397 non-null object \n", - " 4 MUNICIPIO 28397 non-null object \n", - " 5 AREAHA 28397 non-null float64\n", - " 6 ANODETEC 28397 non-null float64\n", - " 7 DATADETEC 28397 non-null object \n", - " 8 DTIMGANT 28397 non-null object \n", - " 9 DTIMGDEP 28397 non-null object \n", - " 10 DTPUBLI 28397 non-null object \n", - " 11 VPRESSAO 28397 non-null object \n", - "dtypes: float64(2), int64(1), object(9)\n", - "memory usage: 2.6+ MB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Converta a coluna de ano para int\n", - "\n", - "df3[['ANODETEC']] = df3[['ANODETEC']].astype(int)\n", - "\n", - "df3.info()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "_0gvkwXlQnbU", - "outputId": "e92ce45a-546d-442c-e3f8-ae57dfd9ce2a", - "collapsed": true - }, - "execution_count": 137, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 28397 entries, 0 to 28396\n", - "Data columns (total 12 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 CODEALERTA 28397 non-null int64 \n", - " 1 FONTE 28397 non-null object \n", - " 2 BIOMA 28397 non-null object \n", - " 3 ESTADO 28397 non-null object \n", - " 4 MUNICIPIO 28397 non-null object \n", - " 5 AREAHA 28397 non-null float64\n", - " 6 ANODETEC 28397 non-null int64 \n", - " 7 DATADETEC 28397 non-null object \n", - " 8 DTIMGANT 28397 non-null object \n", - " 9 DTIMGDEP 28397 non-null object \n", - " 10 DTPUBLI 28397 non-null object \n", - " 11 VPRESSAO 28397 non-null object \n", - "dtypes: float64(1), int64(2), object(9)\n", - "memory usage: 2.6+ MB\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Conta os códigos únicos de ano\n", - "num_ano = df3['ANODETEC'].nunique()\n", - "print(f\"Existem {num_ano} anos únicos no arquivo CSV.\")\n", - "\n", - "\n", - "# Conta os códigos únicos de municípios\n", - "num_municipios = df3['MUNICIPIO'].nunique()\n", - "print(f\"Existem {num_municipios} municípios únicos no arquivo CSV.\")\n", - "\n", - "\n", - "# Conta os códigos únicos de municípios\n", - "num_V = df3['VPRESSAO'].nunique()\n", - "print(f\"Existem {num_V} pressao únicos no arquivo CSV.\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "collapsed": true, - "id": "607C9FU3iE_g", - "outputId": "bbc6154c-7f91-4a30-f734-a87b704f18be" - }, - "execution_count": 138, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Existem 6 anos únicos no arquivo CSV.\n", - "Existem 407 municípios únicos no arquivo CSV.\n", - "Existem 10 pressao únicos no arquivo CSV.\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Filtrar para manter apenas os anos entre 2019 e 2022\n", - "df3_limpo = df3[(df3['ANODETEC'] >= 2019) & (df3['ANODETEC'] <= 2022)]\n", - "\n", - "# Remover as colunas indesejadas\n", - "colunas_para_remover = ['CODEALERTA', 'FONTE', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'DATADETEC']\n", - "df3_reduzido = df3_limpo.drop(columns=colunas_para_remover)\n", - "\n", - "# Exibir as primeiras linhas do DataFrame limpo\n", - "print(df3_reduzido.head())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "xw4vph8wsQCY", - "outputId": "4d1ada0f-3b8a-4cbd-87e2-7f1d1ff2c2f0", - "collapsed": true - }, - "execution_count": 142, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "370 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", - "376 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", - "377 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", - "378 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", - "391 Cerrado BAHIA Baianópolis 2.91 2021 agriculture\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Conta os códigos únicos\n", - "num = df3_reduzido['MUNICIPIO'].nunique()\n", - "\n", - "print(f\"Existem {num} valores únicos no arquivo CSV.\") # sairam alguns municipios na retiradas dos outros anos" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "I13V4g3G8CNb", - "outputId": "3398824d-ff3c-4aa9-8610-8c4ff95da90f" - }, - "execution_count": 143, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Existem 392 anos únicos no arquivo CSV.\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# somente caso precise\n", - "\n", - "\n", - "\n", - "# Obtém os códigos únicos de municípios\n", - "# municipios_unicos = df3_reduzido['MUNICIPIO'].unique()\n", - "\n", - "# Exibe os códigos dos municípios únicos\n", - "# print(municipios_unicos)\n", - "\n", - "# somando\n", - "\n", - "df3_MUN = df3_reduzido.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df3_MUN.head())\n", - "\n", - "df3_ANO = df3_reduzido.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df3_ANO.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "4LvRvq8pSL8G", - "outputId": "996edd71-d61d-4f92-a5db-3ec093ad4c0d", - "collapsed": true - }, - "execution_count": 144, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " MUNICIPIO AREAHA\n", - "0 Abaré 11.93\n", - "1 Abaíra 41.90\n", - "2 Acajutiba 34.86\n", - "3 Adustina 167.45\n", - "4 Aiquara 175.27\n", - " ANODETEC AREAHA\n", - "0 2019 64554.41\n", - "1 2020 113073.16\n", - "2 2021 154250.73\n", - "3 2022 227779.90\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "print(df3_reduzido.info())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "WBdJUsJ9f3Yi", - "outputId": "586db967-7bf7-4263-9259-3c4156d26220", - "collapsed": true - }, - "execution_count": 145, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "Index: 17026 entries, 370 to 27982\n", - "Data columns (total 6 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 BIOMA 17026 non-null object \n", - " 1 ESTADO 17026 non-null object \n", - " 2 MUNICIPIO 17026 non-null object \n", - " 3 AREAHA 17026 non-null float64\n", - " 4 ANODETEC 17026 non-null int64 \n", - " 5 VPRESSAO 17026 non-null object \n", - "dtypes: float64(1), int64(1), object(4)\n", - "memory usage: 931.1+ KB\n", - "None\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Verificar se tem valores faltantes\n", - "\n", - "print(df3_reduzido.isnull().sum())\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Jeufw3Gvf6gj", - "outputId": "ebe78ac0-26aa-4a86-eb09-30af82bf7e90", - "collapsed": true - }, - "execution_count": 146, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "BIOMA 0\n", - "ESTADO 0\n", - "MUNICIPIO 0\n", - "AREAHA 0\n", - "ANODETEC 0\n", - "VPRESSAO 0\n", - "dtype: int64\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Conta os códigos únicos\n", - "num1 = df3_reduzido['MUNICIPIO'].nunique()\n", - "\n", - "print(f\"Existem {num1} valores únicos no arquivo CSV.\")\n", - "\n", - "# Conta os códigos únicos\n", - "num2 = df3_reduzido['ANODETEC'].nunique()\n", - "\n", - "print(f\"Existem {num2} valores únicos no arquivo CSV.\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "waRI9WJc4RMa", - "outputId": "bf48b706-19e5-456a-de7c-c76683e80d8b" - }, - "execution_count": 148, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Existem 392 valores únicos no arquivo CSV.\n", - "Existem 4 valores únicos no arquivo CSV.\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Salvando o arquivo final em um novo CSV\n", - "\n", - "df3_reduzido.to_csv('desmatamento.csv', index=False, encoding='utf-8')\n", - "\n", - "print(df3_reduzido)" - ], - "metadata": { - "id": "Dmt95mSDi-XN", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "aa908f35-f5b1-445b-bd31-9f14f0195165", - "collapsed": true - }, - "execution_count": 149, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " CODEALERTA FONTE BIOMA ESTADO MUNICIPIO \\\n", - "370 1022269 {PRODES-CERR} Cerrado BAHIA Canápolis \n", - "376 995080 {PRODES-CERR} Cerrado BAHIA São Desidério \n", - "377 995047 {PRODES-CERR} Cerrado BAHIA Luís Eduardo Magalhães \n", - "378 995044 {PRODES-CERR} Cerrado BAHIA Riachão das Neves \n", - "391 1027286 {PRODES-CERR} Cerrado BAHIA Baianópolis \n", - "... ... ... ... ... ... \n", - "27941 1013444 {PRODES-CERR} Cerrado BAHIA Riacho de Santana \n", - "27942 1013438 {PRODES-CERR} Cerrado BAHIA Igaporã \n", - "27967 1027150 {PRODES-CERR} Cerrado BAHIA Cotegipe \n", - "27968 1020554 {PRODES-CERR} Cerrado BAHIA Cotegipe \n", - "27982 1013449 {PRODES-CERR} Cerrado BAHIA Tanque Novo \n", - "\n", - " AREAHA ANODETEC DATADETEC DTIMGANT DTIMGDEP DTPUBLI \\\n", - "370 2.30 2021 2021/08/22 2021/04/05 2021/06/04 2023/09/18 \n", - "376 12.52 2021 2021/07/28 2021/05/21 2022/01/20 2023/09/18 \n", - "377 4.83 2021 2021/07/28 2020/11/09 2021/04/17 2023/09/18 \n", - "378 7.41 2021 2021/07/28 2020/09/16 2021/07/02 2023/09/18 \n", - "391 2.91 2021 2021/08/22 2022/05/13 2022/06/02 2023/09/18 \n", - "... ... ... ... ... ... ... \n", - "27941 1.70 2021 2021/08/15 2020/06/28 2020/11/13 2023/09/18 \n", - "27942 1.93 2021 2021/08/15 2021/05/11 2021/05/27 2023/09/18 \n", - "27967 1.58 2021 2021/08/22 2021/05/17 2021/07/07 2023/09/18 \n", - "27968 2.98 2021 2021/08/22 2019/07/06 2020/01/17 2023/09/18 \n", - "27982 2.92 2021 2021/08/15 2021/05/21 2021/10/30 2023/09/18 \n", - "\n", - " VPRESSAO \n", - "370 agriculture \n", - "376 agriculture \n", - "377 agriculture \n", - "378 agriculture \n", - "391 agriculture \n", - "... ... \n", - "27941 agriculture \n", - "27942 others \n", - "27967 agriculture \n", - "27968 agriculture \n", - "27982 agriculture \n", - "\n", - "[17026 rows x 12 columns]\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**Visualização dos dados**" - ], - "metadata": { - "id": "9yAQtchPsAC4" - } - }, - { - "cell_type": "code", - "source": [ - "# Importar bibliotecas necessárias\n", - "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "# Carregar os dados integrados\n", - "df_desmatamento = pd.read_csv('desmatamento.csv')\n", - "\n", - "# Exibir as primeiras linhas do DataFrame para verificar se os dados foram carregados corretamente\n", - "print(df_desmatamento.head())" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "collapsed": true, - "id": "0QQgbfE9s3X_", - "outputId": "6e94ab6c-c5c5-466b-d19e-59754cf919ad" - }, - "execution_count": 150, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", - "1 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", - "2 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", - "3 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", - "4 Cerrado BAHIA Baianópolis 2.91 2021 agriculture\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# somente caso precise\n", - "\n", - "\n", - "df3_MUN = df_desmatamento.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df3_MUN.head())\n", - "\n", - "\n", - "df3_ANO = df_desmatamento.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", - "\n", - "# Mostrar o resultado\n", - "print(df3_ANO.head())\n", - "\n", - "# Somar os valores da coluna AREAHA\n", - "total_area_desmatada = df_desmatamento['AREAHA'].sum()\n", - "\n", - "print(f'Total de Área Desmatada (ha): {total_area_desmatada:.2f}')\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "D0nu8Y5KjhXD", - "outputId": "6d549c4a-6f3b-49e4-bb8f-b1e20b53483f", - "collapsed": true - }, - "execution_count": 151, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " MUNICIPIO AREAHA\n", - "0 Abaré 11.93\n", - "1 Abaíra 41.90\n", - "2 Acajutiba 34.86\n", - "3 Adustina 167.45\n", - "4 Aiquara 175.27\n", - " ANODETEC AREAHA\n", - "0 2019 64554.41\n", - "1 2020 113073.16\n", - "2 2021 154250.73\n", - "3 2022 227779.90\n", - "Total de Área Desmatada (ha): 559658.20\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Definir o estilo para os gráficos\n", - "sns.set(style=\"whitegrid\")" - ], - "metadata": { - "id": "QvbjlogE5FVE" - }, - "execution_count": 152, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "\n", - "# Agrupar os dados por ano e somar a área desmatada\n", - "grouped = df_desmatamento.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", - "\n", - "# Criar o gráfico de barras para a área desmatada\n", - "plt.figure(figsize=(10, 6))\n", - "\n", - "# Definir uma paleta de cores distinta\n", - "colors = sns.color_palette(\"husl\", len(grouped['ANODETEC'].unique()))\n", - "\n", - "# Criar o gráfico de barras, utilizando as cores definidas\n", - "sns.barplot(x='ANODETEC', y='AREAHA', data=grouped, palette=colors, errorbar=None)\n", - "\n", - "plt.title('Total de Área Desmatada por Ano na Bahia', fontsize=14)\n", - "plt.xlabel('Ano', fontsize=12)\n", - "plt.ylabel('Área Desmatada (ha)', fontsize=12)\n", - "plt.xticks(rotation=45)\n", - "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", - "plt.show()\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 688 - }, - "id": "h8SueyKp5JVU", - "outputId": "349d01a8-4f73-40fa-e05c-122cf200a6ee", - "collapsed": true - }, - "execution_count": 153, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":11: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='ANODETEC', y='AREAHA', data=grouped, palette=colors, errorbar=None)\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "# Agrupar por ano e município, somando as áreas desmatadas\n", - "grouped = df_desmatamento.groupby(['ANODETEC', 'MUNICIPIO'])['AREAHA'].sum().reset_index()\n", - "\n", - "# Filtrar para remover municípios com área desmatada zero\n", - "grouped = grouped[grouped['AREAHA'] > 0]\n", - "\n", - "# Obter anos únicos\n", - "years = grouped['ANODETEC'].unique()\n", - "\n", - "plt.figure(figsize=(12, 10))\n", - "\n", - "# Definir uma paleta de cores distinta\n", - "colors = sns.color_palette(\"husl\", len(years))\n", - "\n", - "for i, year in enumerate(years):\n", - " # Filtrar os 10 maiores municípios para cada ano\n", - " top_10_municipios = grouped[grouped['ANODETEC'] == year].nlargest(10, 'AREAHA')\n", - "\n", - " # Criar um subgráfico\n", - " plt.subplot(len(years), 1, i + 1)\n", - "\n", - " # Criar o gráfico de barras\n", - " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", - " palette=[colors[i]], dodge=False)\n", - "\n", - " plt.title(f'Top 10 Municípios com Mais Desmatamento em {year}', fontsize=14)\n", - " plt.xlabel('Área Desmatada (ha)', fontsize=12)\n", - " plt.ylabel('Município', fontsize=12)\n", - " plt.xticks(rotation=45)\n", - "\n", - " # Adicionar a legenda específica para cada gráfico\n", - " handles = [plt.Line2D([0], [0], color=colors[i], lw=4)]\n", - " plt.legend(handles, [year], title='Ano', frameon=False)\n", - "\n", - "plt.tight_layout()\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "9oJWCS29GjH8", - "outputId": "d24c9aaa-5560-44b9-e360-6c57108f5293", - "collapsed": true - }, - "execution_count": 154, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":23: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", - ":23: UserWarning: \n", - "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", - " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", - ":23: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", - ":23: UserWarning: \n", - "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", - " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", - ":23: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", - ":23: UserWarning: \n", - "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", - " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", - ":23: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", - ":23: UserWarning: \n", - "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", - " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Agrupar por município, somando as áreas desmatadas ao longo dos anos\n", - "grouped = df_desmatamento.groupby(['MUNICIPIO'])['AREAHA'].sum().reset_index()\n", - "\n", - "# Filtrar para manter apenas os 10 maiores municípios\n", - "top_10_municipios = grouped.nlargest(10, 'AREAHA')\n", - "\n", - "# Definir uma paleta de cores distinta\n", - "colors = sns.color_palette(\"husl\", len(top_10_municipios))\n", - "\n", - "# Criar gráfico de barras para os 10 municípios\n", - "plt.figure(figsize=(10, 6))\n", - "sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios, palette=colors)\n", - "plt.title('Top 10 Municípios com Mais Desmatamento (2019 a 2020)', fontsize=14)\n", - "plt.xlabel('Área Desmatada (ha)', fontsize=12)\n", - "plt.ylabel('Município', fontsize=12)\n", - "plt.xticks(rotation=45)\n", - "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 688 - }, - "id": "gTNS0id9JA9k", - "outputId": "bf2bb8f1-8137-4f51-e0e9-e489f2054821", - "collapsed": true - }, - "execution_count": 155, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":12: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios, palette=colors)\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "\n", - "# Agrupar dados por bioma e calcular a soma de AREAHA\n", - "bioma_data = df_desmatamento.groupby('BIOMA')['AREAHA'].sum().reset_index()\n", - "\n", - "# Criar gráfico de barras para área desmatada por bioma\n", - "plt.figure(figsize=(10, 6))\n", - "sns.barplot(x='BIOMA', y='AREAHA', data=bioma_data, palette='viridis')\n", - "\n", - "# Configurações do gráfico\n", - "plt.title('Área Desmatada por Bioma', fontsize=14)\n", - "plt.xlabel('Bioma', fontsize=12)\n", - "plt.ylabel('Área Desmatada (ha)', fontsize=12)\n", - "plt.xticks(rotation=45)\n", - "\n", - "# Exibir o gráfico\n", - "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 688 - }, - "id": "KJQvHpTDMvDZ", - "outputId": "88601250-9c56-4bc1-9956-33bdc8ebe0e0", - "collapsed": true - }, - "execution_count": 156, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":6: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " sns.barplot(x='BIOMA', y='AREAHA', data=bioma_data, palette='viridis')\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "# Agrupar dados por ano e bioma, somando a área desmatada\n", - "bioma_year_data = df_desmatamento.groupby(['ANODETEC', 'BIOMA'])['AREAHA'].sum().reset_index()\n", - "\n", - "# Definir a paleta de cores para o gráfico\n", - "# Aqui, você pode definir as cores que deseja usar (as mesmas do gráfico de pizza)\n", - "palette = sns.color_palette(\"husl\", len(bioma_year_data['BIOMA'].unique()))\n", - "\n", - "# Criar gráfico de barras para área desmatada por bioma e por ano\n", - "plt.figure(figsize=(12, 6))\n", - "sns.barplot(x='ANODETEC', y='AREAHA', hue='BIOMA', data=bioma_year_data, palette=palette)\n", - "\n", - "# Configurações do gráfico\n", - "plt.title('Área Desmatada por Bioma e por Ano', fontsize=16)\n", - "plt.xlabel('Ano', fontsize=12)\n", - "plt.ylabel('Área Desmatada (ha)', fontsize=12)\n", - "plt.xticks(rotation=45)\n", - "\n", - "# Adicionar legenda\n", - "plt.legend(title='Bioma')\n", - "\n", - "# Exibir o gráfico\n", - "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 601 - }, - "id": "5iNU6vKjMvAj", - "outputId": "87d9dc96-0718-41bb-c6ed-da51c2093cce", - "collapsed": true - }, - "execution_count": 157, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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LL74oSbp48aI+/PBDiyVDfn5+qlOnjpKTk/X7779bjFe6dGlVrlzZ6jy5c+c2bzycMiviUbVs2dI8U+re/Lt27aoqVaro9OnTOnv2rLkvNjZWX3/9tSRp9OjRFsvUXFxcNHHiRIvlgPcqVKiQateuLTs7y//lcnFx0YQJE+Tg4GDzdZQrV079+/e3aKtRo4ZeeeUVSXdn5aSIi4vTl19+ab6Ge5fNOTo6auzYscqXL58uXryorVu3pnq+Pn36pPozSavff/9dvr6+5v+qV6+uXr16KTQ0VKNHj9b06dPTPNaaNWsUGRmp8uXL6/XXX7d4r/r5+WnAgAGSpMDAwFSPL1KkiMaMGWOx9DPlCYp37txR3rx5NWDAAItxu3btKg8PD50/f16XL1+2GK9GjRoqXry41Xm8vb01cOBASY/2fv3222914cIFNWjQQEOHDrX4bHFxcdH777+vvHnz6ocffrBpNs6ECRPk4eFhfu3u7q6JEyfKZDLpxx9/1JUrV8x9y5cvV2Jiopo0aWK1tLNevXrq1KmTpPvf61KlSmno0KFWvwNplTLbtUOHDua2ggULKiAgQMnJyVq/fv0Djx8yZIgqVapk0da/f3/lypVL586d0z///GNu/+OPP/T333/LxcVFH3zwgcXnhKenp95//31Jd2fa3nuPAABpwx5QAIBsJTExUd99952k/y84pWjbtq1mzpyp//3vf7pw4YJKlCiR6hjNmjVLtT0oKEiS1LRpU6s9iSTJzs5O1atX16lTp3Tw4EH5+PhY9J84cUL79u3TxYsXFR0dLcMwJN190ldycrIuXLigcuXKPdL1pkVycrL5+5Q/mG/duqVDhw4pR44catCgQarHpeyJdO+Ss4oVK2rVqlWaPn26DMOQv79/mpbLFClSxOp+SHf/+JSkChUqKG/evPftT9kb6V5JSUn6/fffdeDAAV2/fl1xcXEyDMN8X0NCQh6a1/2cP39ee/bs0fnz53Xnzh3zPbxx44Z57JTlYEePHtWdO3eUJ08e1a1b12qs/Pnzy9/fX7t27brv+Q4cOKA//vhD//zzj2JjY83X4OjoqFu3bik8PPy+e+/cT5s2bVJtb9u2rZYsWaI///xTSUlJsre31+HDhxUdHW1ehvlvLi4uatmypZYvX679+/frhRdesIpp3rz5I+X3b/ny5VOdOnXMr2NjY3Xx4kUdPnxYn332mdzc3CyKDA+SUrBs165dqv0dOnTQ1KlTde7cOV29etVqb6uaNWumWjQsVaqUTp48qbp161oVYB0cHFS0aFGFhYXp2rVrVhuj37lzR7t379bx48d1+/ZtJSQkSLq7rFV6tPdrymdRixYtUu3PmTOnKlSooKCgIB0+fFgBAQFpHvvZZ59V2bJlrdp9fX1Vrlw5HT16VP/73//M74G03OuVK1fqjz/+ML/f7tW4cWOrtrQ6deqU/v77bzk5OVm9J9u3b6+goCB9++23euONN+5b4Ert88/JyUnFixfXsWPHdPXqVRUuXFjS/19rnTp1LJbtpqhQoYKeffZZnThxQr///ru5wA4ASBsKUACAbOXnn3/W9evXzf8Cfq98+fKpbt262rVrl9atW6dhw4alOkbRokVTbU95itzs2bM1e/bsB+Zx7z4p0dHReuedd1LdT+ReGTUDKmUPIZPJZN7Q+uLFizIMQ7GxsfLz80vT8dLdosYvv/yiDRs2aPDgwbK3t1fp0qVVrVo1NWvW7L4zoFL+gPu3lBkE9+tPKW7FxcVZtJ87d06DBg3S6dOn75u3LfczKSlJ77//vr7++mtzEehhY1+9elXS/d83ku67EffNmzc1ePBg/fnnnw/MKyoq6pELUPc7Z0p7bGyswsLClDdvXnOB70HXkFKwTbnef3vQsWnh7e2d6t5Uhw4dUs+ePfXuu+/Kzc0tTYWulBzvdw/c3d3l4eGhsLCwVAtQ6f1+3bVrl0aPHm3eyyo1j/J+Tfkseuedd/TOO+88MDa1PZse5EGbxhcrVkxHjx61mN3zsHudMvMrLi7O/H671+O8b1JmPzVu3Njq96Nhw4bKkyePLl26pH379qW6Ebqk+z5BMWWG670/y4ddq3T39+TEiRP3/T0BANwfBSgAQLaS8gdJXFycunXrZtWf8kfB+vXrNWTIkFT/5f1+TzBKmQVTrVq1+86eSvHMM8+Yv//kk0+0fft2eXt7a/jw4fLz81OePHnMy2Y6d+6sgwcPPrDg8TiOHTsm6e4f+Ckzt1LO5erqet8ZX6mxs7PT9OnTNWDAAP388886cOCADhw4oNWrV2v16tVq0KCB5s+fb3VfH7a85lGX3wwZMkSnT59WgwYN9Oqrr6p06dJyc3OTo6Oj4uPjH1pUu5/ly5frq6++Uv78+TVq1ChVqVJF+fLlM8+GGT58uDZu3JhuP6t3331Xf/75p6pUqaLBgwfr2Weflbu7uxwdHSVJAQEBun79eoa9N9Jz3Ix68lfFihXVqVMnLV26VIsXL37smVZpkZ7v16tXr2rYsGGKjY3Vq6++qhdeeEHFihWTq6ur7OzstHfvXosnR6ZFymfR/Wbi3Ot+BZbHkRXeN/Hx8frhhx8kSYcPH1aXLl2sYlLu09q1a+9bgLJ16R8AIP1RgAIAZBvXrl3T7t27Jd19THZqTyu7N3bPnj2qX79+msdPmfXQqFGjR/qD8ccff5QkzZw5U88++6xV/7lz59I81qNKSEgwn//eP8AKFSok6e6sqI8++uiR/wgrU6aMeQmaYRj67bffNHz4cP3000/67rvvrJY/pqezZ8/q5MmTyps3r+bNm2e1HPJxniiYcq8mTpyoRo0aWfWn9rMqUKCAJFk9/fBeqfVFR0dr9+7dsrOz06JFi8yz0+7tT1nyZ4v7PXkvJRdnZ2fzPj9puYaUWTf/ni30X0iZRRMcHJym+IIFCyo4ONic879FRkaaZyNl9PXs2rVLsbGxatKkid5++22rflver4ULF1ZwcLA6dOiQ7gW5+71v7u1L+fyQ7t6/CxcuKDQ0NNVltinHODs7P/IsvgfZuXOneXZmaGjofX/WkrRjxw6FhYVZ7Gtli5T3yoPOlZm/JwCQ3fFPAgCAbOPbb79VUlKSKlWqpJMnT973v1dffVXS/8+WSquU/X22bNnySDMAUjYBTm2pyZ49eyyWuKW3mTNn6tq1a3J0dFSvXr3M7QULFjRvqLxnz57HOofJZFLt2rXVunVrSdLx48cfa7yHSbmfBQoUSHUvrpRZEalJmVmUlJT0wLFT+1mdPn1aJ06csGqvUKGCXF1ddfv2be3du9eq/8aNG/rll1+s2iMjI5WUlCQ3Nzer4lPKdTzOTJP73YeUPdKqVatmvn9+fn5ydXVVWFiYdu7caXVMbGysNm/eLOn/9wb7L124cEGSrDaHv58aNWpI+v9r/beUBxGUKlUqwwsFKe+p1GYiGYahDRs2PPKYKZ9FKQXT9HTy5MlU3+enT5/WsWPHZGdnZ/HQgpR7/e2336Y6XsrnbPXq1VP9fbVVyrj9+vV74Od9xYoVLWZLPY6Ua92zZ0+qxeFjx47p+PHjVvcIAJA2FKAAANlGyh+V/34S07+l9P/888+PtD9Ko0aN5Ofnp0OHDmn06NGpHhseHq7Vq1crMTHR3Obt7S1JWrFihUVscHCw3nvvvTSf/1GEhobqnXfeMT95aty4cVZFlaFDh0q6+9Sz1DbINgxDf//9t0VR5bvvvtORI0esYqOioswb9D7uXkAPU6pUKdnb2+vUqVPav3+/Rd+uXbv0xRdf3PfYlGLD/faOSvlZffnllxabt1+7dk0jR460+LmmyJEjh/lJX5MnT7bYMD02NlYTJkxQbGys1XH58uVT7ty5FRERYVUo+euvv/TJJ5/c9zrS4ujRo1q8eLFF2x9//KFVq1ZJkkVB0tnZ2fzkx6lTp1rMhEpISNCHH36o69evq1ixYo+0ZDM9HDp0SGvWrJGkVGelpaZjx45yc3PT0aNHtWDBAotC3rFjx/TZZ59J0iMvfbNF6dKlJUlbt261eG8kJSVp9uzZOnjw4COP2bFjRxUtWlRbtmzRxx9/nOr+UdevXzfft0dhGIYmTJhg8fS8yMhITZgwQYZhqGnTphZ7YPXo0UMODg7asWOHvv/+e4ux9u7da35CZJ8+fR45l/u5fPmyfv31V0n33/w8Rcrn/cOefpoW1atXV6VKlRQbG6vx48crJibG3Hfr1i2NHz9e0t0nad5vnzAAwP2xBA8AkC38/vvvOn/+vJycnNSqVasHxj7zzDMqX768jh49qu+++y7NfxjZ2dlp/vz56t+/v7799ltt3bpVvr6+KlKkiBISEhQaGqpTp04pKSlJL730kvlf+wcNGqQhQ4Zo9uzZ+vHHH/XMM8/o5s2b+vPPP1WtWjUVKFDApj9CpbtFrFGjRkm6u99JZGSkgoODdf78eRmGIU9PT40bN04tW7a0OrZhw4Z69913NXXqVL3++usqWbKkvLy85Obmptu3b+vEiRO6efOm+vXrZ97Qfdu2bRo5cqQKFCigsmXLyt3dXRERETpw4IAiIyPl4+Ojl19+2aZrSStPT0917dpVy5cvV69evVS9enUVKFBAISEhOnr0qF5//XVzgeHfmjVrpv379+vtt99WQECAeeZR37595e3trQEDBmjPnj1as2aN9u/fr3LlyikqKkr/+9//VLx4cTVp0iTVzeSHDBmiP//8U4cOHVKzZs3MT1H7888/lZCQoLZt21oVmezt7TVw4EBNnjxZI0eO1KpVq1S8eHFdvnxZBw8e1Isvvqg//vjjgcviHqR79+765JNP9P3338vX11fXrl3TH3/8oeTkZPXo0UP16tWzuoYjR45o3759atmypWrWrKmcOXPqr7/+0uXLl+Xh4aHZs2eb9y5Lb/e+l6W7xbtLly7p0KFDku4+ne1+Dw74t3z58mn69Ol68803NXPmTH3//fcqV66cbt68qf/9739KTEzUSy+9pI4dO2bItdyrQYMG5s+bZs2aqUaNGnJxcdGhQ4d07do19evXz6pQ+DCurq5auHCh+vfvr88//1xr1qyRr6+vChYsqNjYWJ07d05nz55V3rx5H/kaGzZsqNOnT6tx48aqWbOmTCaTfv/9d4WFhalUqVLmIksKX19fjR8/XhMmTNA777yjZcuWycvLy/w+NgxDgwcPfqQn8T3M+vXrlZycLD8/P3OB735atmypyZMn68SJEzpy5IgqVKjwWOeeMWOGevbsqZ07d6pRo0aqXr26EhMTtX//fkVFRal8+fJW9wgAkDYUoAAA2ULKcowGDRqkaZ+RNm3a6OjRo1q7du0j/ct8wYIFtWbNGq1fv16bN2/WyZMndfjwYeXOnVsFChRQ586d1bBhQ4tHuDdt2lQrV67UvHnzdOLECYWGhqp48eIaNGiQ+vTp81izMG7cuGFe+uLo6Cg3NzcVKFBAbdq0UUBAgJo2bZrq4+RT9OjRQ7Vq1dLKlSu1f/9+7du3T3Z2dsqXL5/Kli2r+vXrq2nTpub4Pn36qFixYjp48KCOHTtm3lelTJkyat26tV566aU0L5N6HGPGjJGvr69WrVqlI0eOyN7eXj4+Ppo5c6Zatmx53wJUly5ddOfOHf3www8KCgoyP+HqxRdflLe3typVqqR169Zp1qxZOnz4sHbt2qXChQurW7duev311zVp0qRUx3V1ddXy5cu1aNEibdy4UXv37lXu3LlVu3ZtDR069L7Lk3r16qVixYrp888/19mzZ3X69Gl5e3tr/Pjx6tKlS5pn/KSmSZMmatSokRYuXKigoCAlJCSoXLly6tatW6qzRpycnMzFjO+//15//PGH4uPjVbhwYXXv3l39+vXL0OVq976XpbsFuly5cql69epq1qyZOnfu/EjFrwYNGujbb7/V4sWLtW/fPm3dulUuLi6qVq2aOnfunGpRNiM4ODhoxYoVWrRokbZu3ap9+/bJzc1NVapU0Zw5c3Tnzp1HLkBJdwvpP/zwg7766ivt2LFDJ0+e1F9//SUPDw8VKlRIffr0UZMmTR553Ny5c2vNmjWaNWuWgoKCdPPmTeXLl08vvPCCBg0alOo+Sp06ddKzzz6rwMBAHThwQCdPnpSbm5vq1aunHj163HcDcFsYhqH169dLevjsJ0nKkyeP6tWrpx07dmjt2rWPXYAqXry41q9fryVLlmjHjh36+eefZWdnJy8vL7Vo0UI9evTIsA35AeBJZzIy6rErAAAASHfdu3fX77//ruXLl2fKfk3IntavX6/Ro0erXbt2mjJlSmanAwB4CrEHFAAAAAAAADIUBSgAAAAAAABkKApQAAAAAAAAyFDsAQUAAAAAAIAMxQwoAAAAAAAAZCgKUAAAAAAAAMhQDpmdAB7s4MGDMgxDjo6OmZ0KAAAAAACAWUJCgkwmk6pUqfLQWApQWZxhGGKbLgAAAAAAkNU8Sr2CAlQWlzLzyc/PL5MzAQAAAAAA+H+HDx9Ocyx7QAEAAAAAACBDUYACAAAAAABAhqIABQAAAAAAgAxFAQoAAAAAAAAZigIUAAAAAAAAMhRPwXuCJCUlKSEhIbPTwFPM0dFR9vb2mZ0GAAAAACCLoQD1BDAMQ1euXFFYWFhmpwLIw8NDhQoVkslkyuxUAAAAAABZBAWoJ0BK8alAgQJydXXlD39kCsMwFB0drWvXrkmSChcunMkZAQAAAACyCgpQ2VxSUpK5+JQ3b97MTgdPORcXF0nStWvXVKBAAZbjAQAAAAAksQl5tpey55Orq2smZwLclfJeZD8yAAAAAEAKClBPCJbdIavgvQgAAAAA+DcKUAAAAAAAAMhQFKDwRPL19dXcuXMzOw0AAAAAACA2IUc2sn79eo0ePdqizdPTU2XKlNGrr76qevXqZVJmAAAAAADgQShAIdsZMmSIihUrJsMwdPPmTX377bd67bXXtGDBAjVo0ECSdOjQIZ7ABgAAAABAFpHlluCdP39e48ePV5s2bVSuXDm1bt061biIiAhNmjRJAQEB8vPzU+PGjbVkyRKLmPj4eE2dOlX+/v6qXLmyevfureDgYKuxzp49q969e6ty5cry9/fXtGnTFB8fbxX3zTffqFmzZvLz89OLL76on376ySomMjJSY8aMUY0aNVSlShUNGTJE165ds/FuIDV169ZVmzZt1LZtW/Xt21dffvmlHB0dtXHjRnOMs7OzHByorwIAAAAAkBVkuQLU6dOnFRQUpJIlS6p06dKpxkRHR6t79+46cOCAxowZo88//1z9+vWTYRgWcZMmTdI333yjYcOGae7cuYqPj1evXr0UGRlpjgkPD1fPnj2VkJCguXPnatiwYVqzZo2mTJliMdamTZs0btw4tWjRQosXL1blypU1aNAg/fXXXxZxQ4cO1S+//KIJEyZo+vTpCgkJUb9+/ZSYmJg+NwhW3N3drQpOqe0BdezYMb366quqWrWqqlSpop49e1r9/NavXy9fX1/98ccfmjRpkmrVqqXq1atr/Pjxio+PV0REhN555x0999xzeu655zRt2jSr911gYKA6d+6smjVrqmLFinrppZe0ZcuWDLt+AAAAAACyuiw3RaRhw4Zq3LixJGnUqFE6cuSIVcyiRYt0584d/fDDD3J1dZUk1axZ0yLmypUrWrt2rd577z116NBBkuTn56cGDRroq6++Ur9+/SRJX331le7cuaN58+bJw8NDkpSUlKSJEyeqf//+KliwoCRpzpw5atWqlYYOHSpJqlWrlk6dOqX58+dr8eLFkqSDBw9q7969CgwMVEBAgCTJy8tLLVu21LZt29SyZct0vFNPr6ioKN26dUuSdPPmTa1YsULR0dF68cUX73vM6dOn1bVrV+XMmVOvvvqqHBwc9PXXX6t79+5auXKlKlWqZBE/adIk5cuXT4MHD9bff/+tr7/+Wrly5dLBgwdVuHBhDRs2TLt371ZgYKB8fHzUtm1b87HLly9Xw4YN9cILLyghIUGbNm3Sm2++qYULF6p+/foZcUsAAAAAAMjSslwBys7u4ZOy1q5dq65du5qLT6nZu3evkpOT1bx5c3Obh4eH/P39tXv3bnMBavfu3apdu7a5+CRJLVq00HvvvadffvlFL730kkJDQ3Xu3Dm9/fbbFudo2bKlebmek5OTdu/eLXd3d/n7+5tjvL29VbZsWe3evZsCVDrp1auXxWsnJyd99NFHFvf932bNmqWEhAStXr1axYsXlyS1bdtWzZs318cff6yVK1daxOfNm1eLFy+WyWRS165ddeHCBQUGBqpTp06aOHGiJKlTp05q2LCh1q1bZ1GA2rp1q3LkyGF+3bVrV7300ktaunQpBSgAAAAAwFMpyy3Be5iLFy/q+vXrypMnjwYMGKAKFSqoRo0aGjt2rO7cuWOOCw4OVt68eZU7d26L40uXLm2xD1RwcLC8vb0tYtzd3ZU/f35zXMpXLy8vq7ESEhIUGhpqjvPy8pLJZLKI8/b2TnXvKdhm/PjxWrp0qZYuXaqPP/5YNWvW1NixY7Vt27ZU45OSkvTLL7+ocePG5uKTJBUoUECtW7fWn3/+qaioKItjOnToYPFzrFixogzDMM+mkyR7e3tVqFDB/PNPcW/xKTw8XJGRkapWrZqOHTv2WNcNAAAAAEB2leVmQD3MjRs3JElTp05V06ZNtXjxYp07d04zZsxQdHS0PvnkE0l3NynPlSuX1fHu7u4KDw83v46IiJC7u7tVXO7cuc1xKV//HZfyOqX/fufMnTt3qksJ08owDEVHR6faFxcXp+TkZCUlJSkpKcnmc2QHycnJkqQKFSqoQoUK5vYWLVqoffv2ev/991WnTh05OTmZ45OSknT9+nXFxMSoVKlSVvfI29tbycnJunjxop555hnzOQoWLGgRmzNnTkl3i1b3tru5uSk8PNyi7eeff9aCBQt04sQJi83sTSbTE/8zku4W/JKTkxUTE2O+nwAAAAAenclkkpOzk+zteMJ3apKSkxQfF2+1Ly/+O4ZhWE3CuZ9sV4BK+YPWy8tLU6dOlSTVrl1bDg4OGjt2rIYNG2Yxy+VJkJCQoOPHj9+338HBQXFxcf9hRpkjISFB0t2nG8bGxlr0Va1aVatXr9bp06fNm9cnJiYqNjbWfG9SXj9ozJTXSUlJFrEpm8gnJCRYtCclJckwDHPbgQMH9MYbb6hq1aoaNWqU8ufPLwcHB/3www/68ccfrc7/JIqLi1NiYiKz/gAAAIDH5OLionLlymneng91KfxCZqeTpRTNXUKD6ryrkJAQxcTEZHY6T7WUSSAPk+0KUClL6v696XitWrUk3d1sunjx4nJ3d7daViXdnaV077I8d3d3i6fipQgPDzfHpXyNjIxU/vz5Lca6t9/d3V1Xrlx54Fi2cHR0VJkyZVLti4uL0+XLl+Xs7Gyx9OtJ5OjoKOnum/vf15pScU1MTDT3OTg4KEeOHCpcuLBcXFwUGhpqdVxoaKjs7OxUsmRJ5ciR477nSHnCXo4cOSza7e3tze2SFBQUJGdnZwUGBlr8Em7cuNEi7knn4OCgEiVKyNnZObNTAQAAALKtlL9zLoVf0LlbpzM5m6zJy8uLGVCZ6MyZM2mOzXYFqOLFiz+wupYy28Xb21s3btywKv78e8+n1PZnioyM1PXr181xKV//fWxwcLAcHR3NM668vb21b98+qyloISEh8vHxsfWSZTKZ7rvhup2dnezs7GRvb28uhjypUjaoT7neFAkJCfr111/l6OgoHx8fc9+998Xf31+7du3SP//8o2LFikm6u5xz06ZNqlatmvk9cr9z3K/dZDLJZDKZ2xwcHMw/+5S2ixcvateuXRZtTzJ7e3vZ2dnJxcXlqSm4AQAAAMgcLi4umZ3CUy2ty++kbLgJuZOTk/z9/bVv3z6L9l9//VWSVL58eUlSQECA7OzsLDamDg8P1969e1W3bl1zW926dfXrr7+aZzNJ0pYtW2RnZ2d+qlrx4sVVqlQpbdmyxeKcmzdvVu3atc0Fsbp16yo8PNwit5CQEB07dszinHg8u3fv1vfff6/vv/9eS5cuVadOnXTu3Dn17t1bbm5uqR4zdOhQOTg46JVXXtGCBQu0ePFide7cWfHx8VZPN3wc9erVU0xMjF599VWtXr1a8+bNU8eOHVWiRIl0OwcAAAAAANlNlpsBFRMTo6CgIEnSpUuXFBUVZS781KhRQ56enho0aJA6d+6s4cOHq127djp//rxmzJihF154wfyHfqFChdShQwdNmzZNdnZ2KliwoBYuXKhcuXKpc+fO5vN17txZK1as0BtvvKH+/fvr6tWrmjZtmjp37qyCBQua4wYPHqwRI0aoRIkSqlmzpjZv3qxDhw5p5cqV5pgqVaooICBAY8aM0ciRI+Xs7KyZM2fK19dXTZs2/S9u31Nhzpw55u+dnZ3l7e2tCRMmWPxc/+2ZZ57Rl19+qRkzZmjhwoUyDEMVK1bUxx9/rEqVKqVbbrVr19aHH36oxYsX66OPPlKxYsU0YsQIXbp0SSdPnky38wAAAAAAkJ2YjCy2WPLixYtq1KhRqn3Lly837/20b98+TZ8+XadOnVLu3Ln1wgsvaNiwYRbL8+Lj4zVz5kx9//33unPnjqpWraqxY8eaN6lOcfbsWX3wwQc6ePCgcubMqTZt2liNJUnffPONFi9erMuXL8vLy0tvvfWWGjRoYBETGRmpyZMna/v27UpMTFRAQIDGjh1rUcx6FIcPH5Yk+fn5pdofGxurkJAQeXl5sdwJWQLvSQAAACB9jd7Ynz2g/qWU5zOa3HphZqfx1HtYzeJeWa4ABUsUoJDd8J4EAAAA0hcFKGsUoLKGRylAZbs9oAAAAAAAAJC9UIACAAAAAABAhqIABQAAAAAAgAxFAQoAAAAAAAAZigIUAAAAAAAAMhQFKAAAAAAAAGQoClAAAAAAAADIUBSgAAAAAAAAkKEoQAEAAAAAACBDUYACAAAAAABAhqIAhSxp586d6tOnj2rUqKEKFSqoYcOGGj9+vEJCQtL1PBcvXtTcuXN19epVi/b9+/fL19dXhw8fTtfzAQAAAADwNKIA9QQzkpOz5XmnT5+ugQMHys3NTR988IGWLl2qN954Q2fOnNGwYcPSKcu7Ll26pHnz5unatWsW7eXLl9fXX3+t0qVLp+v5AAAAAAB4GjlkdgLIOCY7O91ev02JN27/Z+d0yJdHeV5qavPxQUFBWrx4sQYOHKg333zT3P7cc8+pffv2+umnn9IjzYdyc3NT5cqV/5NzAQAAAADwpKMA9YRLvHFbiVeuZ3YaabZkyRLly5dPAwcOTLW/QYMG5rhNmzbp3LlzcnJyUsWKFTVq1Ch5eXmZYw8ePKiFCxfqyJEjioqKUsmSJdW7d2+1bdtW0t1ldj169JAkdejQwXzcyZMnzX1r166Vn5+fJMnX11cjRoxQbGysVq9eraSkJDVs2FDjxo2Tq6ur+fg//vhDkyZN0tmzZ1WqVCmNGjVK06ZNU9myZTVlypQ05QYAAAAAwJOEAhSyjMTERB04cEBNmzaVo6PjA2OvXLmibt26qUiRIoqKitJXX32lzp07a+vWrfLw8JAkXb58WVWrVlWXLl3k5OSkAwcOaOzYsTIMQ+3atVP58uU1fvx4vf/++5o8ebK8vb0fmuOXX36patWqacqUKTp37pymTZumvHnzasSIEZKka9euqV+/fipXrpxmzZqlyMhITZgwQZGRkSpbtqx5nIflBgAAAADAk4QCFLKMsLAwxcfHq0iRIg+NHTNmjPn7pKQk+fv7q3bt2tq6das6deokSWrVqpU5xjAMPffcc7p69aq+/vprtWvXTm5ubipTpowk6ZlnnjHPdHqQ/Pnza8aMGZKkunXr6tixY9q6dau5APXFF1/I3t5eCxculJubmySpWLFi6tq1q8U4D8sNAAAAAIAnCQUoZDkmk+mhMX/99Zdmz56tY8eOKSwszNx+7tw58/fh4eGaO3eudu7cqatXryopKUmSzDOkbPH8889bvC5durQ2bdpkfn348GHVrFnTXHySpOrVq1udMyNyAwAAAAAgq6IAhSzDw8NDzs7Ounz58gPjLl++rD59+qhChQqaOHGiChQoIEdHR/Xv319xcXHmuFGjRungwYN64403VKZMGbm5uWn16tX68ccfbc7R3d3d4rWjo6Pi4+PNr69fv65SpUpZHefp6WnxOiNyAwAAAAAgq6IAhSzDwcFBVatW1W+//abExEQ5OKT+9tyzZ4+io6M1b948c0EoMTFR4eHh5pi4uDj9/PPPGjVqlLp3725uX7VqVYZeQ/78+XXr1i2r9nvbMis3AAAAAAAyi11mJwDcq3fv3rp+/boWLFiQan9QUJBiY2NlMpksClQ//vijEhMTza/j4+OVnJxssZl5VFSUdu3aZTFeSv+9M6ceh5+fn3777TdFRUWZ2/744w+LZYJpzQ0AAAAAgCcFM6CQpdSrV0+vvvqq5s6dqzNnzqhVq1bKkyePLl68qHXr1ikyMlJTp06VJI0ePVqdO3fW6dOntXTpUovlcbly5ZKfn58WL14sT09POTg4aNGiRXJzc7OYjVSqVCnZ29tr3bp1cnBwkL29fZo2I7+fXr16afXq1erfv7/69u2riIgIzZ8/X3ny5DHvbZXW3AAAAAAAeFJQgHrCOeTLk+3O9/bbb6tKlSr68ssvNWbMGMXExKhAgQIKCAhQ3759VbJkSU2ePFnz5s1T//79VbZsWc2ePVtDhw61GGfGjBkaP368Ro0aJQ8PD3Xv3l3R0dFasmSJOcbT01Pjx4/X559/rh9++EGJiYk6efKkzbkXKFBAixcv1qRJkzRkyBCVKFFC7777rt5//33lypXrkXIDAAAAAOBJYTIMw8jsJHB/hw8flqT7zsqJjY1VSEiIvLy8lCNHDos+IzlZJrv/fpVlZp03qzp37pxatGihjz76SO3atcvsdDLcg96TAAAAAB7d6I39de7W6cxOI0sp5fmMJrdemNlpPPUeVrO4FzOgnmCZVQR62otPM2bMkK+vrwoUKKDQ0FAtXLhQ+fPnV9OmTTM7NQAAAAAAMgUFKCCdJSQkaPr06bpx44Zy5MihGjVq6J133lHOnDkzOzUAAAAAADIFBSggnY0aNUqjRo3K7DQAAAAAAMgynu61UgAAAAAAAMhwFKAAAAAAAACQoShAAQAAAAAAIENRgAIAAAAAAECGogAFAAAAAACADEUBCgAAAAAAABmKAhSypJ07d6pPnz6qUaOGKlSooIYNG2r8+PEKCQnJ7NRSFRERIV9fX61fvz6zUwEAAAAAIMuhAIUsZ/r06Ro4cKDc3Nz0wQcfaOnSpXrjjTd05swZDRs2LLPTAwAAAAAAj8ghsxNAxklOTpKdnX22Om9QUJAWL16sgQMH6s033zS3P/fcc2rfvr1++umnx8otNjZWOXLkSHM7AAAAAAB4fBSgnmB2dvaat+dDXQq/8J+ds2juEhpU512bj1+yZIny5cungQMHptrfoEEDSZJhGFqyZInWrFmjS5cuqWDBgurevbt69epljp07d66WLFmiZcuW6cMPP9SxY8c0dOhQ5cmTR6NHj9ZXX32lOXPm6ODBg3rppZc0fvx4LVmyRJs2bdK5c+fk5OSkihUratSoUfLy8rLIY82aNVqwYIFu3rypypUra8SIEVa5Jicna8GCBVq7dq2uXbumYsWKqVevXurcubPN9wcAAAAAgOyIAtQT7lL4BZ27dTqz00iTxMREHThwQE2bNpWjo+MDYz/88EN98803GjBggCpVqqQDBw5o+vTpcnZ2VpcuXcxxCQkJGj58uHr16qVhw4bJw8NDx44dkyQNHz5cnTp1Uv/+/eXi4iJJunLlirp166YiRYooKipKX331lTp37qytW7fKw8NDkvTTTz9p3Lhxeumll9SyZUsdPXrUYrZWimnTpmn58uV6/fXXVaVKFf3888967733lJiYqG7duqXTXQMAAAAAIOujAIUsIywsTPHx8SpSpMgD4y5cuKCVK1dq4sSJ6tSpkyTp+eefV2xsrObPn69OnTrJzu7u9mYJCQkaNmyYWrZsaT4+pQDVuXNnvfbaaxZjjxkzxvx9UlKS/P39Vbt2bW3dutV8rs8++0zVq1fX5MmTJUl16tRRXFycPv30U/Oxt27d0sqVK9W3b18NHjxYkhQQEKDbt29r/vz56tKli+zt//vlkQAAAAAAZAY2IUeWYzKZHtj/66+/SpKaNm2qxMRE83/PP/+8rl+/rn/++ccivl69eqmOU79+fau2v/76S71791bNmjVVrlw5VapUSdHR0Tp37pyku0Wpo0ePqkmTJhbHNWvWzOL1oUOHlJCQoObNm1u0t2jRQrdu3TKPBwAAAADA04AZUMgyPDw85OzsrMuXLz8w7vbt2zIMQ7Vq1Uq1/59//lHRokUlSS4uLsqZM2eqcfny5bN4ffnyZfXp00cVKlTQxIkTVaBAATk6Oqp///6Ki4uTdHdmU2Jiojw9PR84Vnh4eKrtKa/DwsIeeI0AAAAAADxJKEAhy3BwcFDVqlX122+/KTExUQ4Oqb89c+fOLZPJpFWrVqW6V9S9G4Y/bDbVvfbs2aPo6GjNmzdP7u7uku7uS5VSTJIkT09POTg46NatWxbH3rhxw+J1yn5RN2/eVMGCBa3iUvoBAAAAAHgasAQPWUrv3r11/fp1LViwINX+oKAg1a5dW9LdWUR+fn5W/7m5udl07tjYWJlMJovC148//qjExETza3t7e5UrV07bt2+3OHbr1q0Wr/38/OTo6KgtW7ZYtP/444/KmzevSpUqZVOOAAAAAABkR1luBtT58+cVGBiov//+W6dPn5a3t7c2btx43/gdO3bojTfe0DPPPGMVFxkZqcmTJ2vHjh1KSEhQnTp1NHbsWBUoUMAi7sCBA5o6daqOHz+uvHnzqkuXLurXr5/F7BnDMLR48WKtWrVKt27dUtmyZTV69GhVrlzZYqyrV69q0qRJ2rt3rxwdHdWkSRONHj3a5qLI06ZevXp69dVXNXf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- }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "\n", - "# Agrupar dados por bioma e calcular a soma de AREAHA\n", - "bioma_data = df_desmatamento.groupby('BIOMA')[['AREAHA']].sum()\n", - "\n", - "# Definir a paleta de cores\n", - "palette = sns.color_palette(\"husl\", len(bioma_data.index))\n", - "\n", - "# Criar gráfico de pizza para área desmatada\n", - "plt.figure(figsize=(14, 6))\n", - "plt.pie(bioma_data['AREAHA'], labels=bioma_data.index, autopct='%1.1f%%', startangle=140,\n", - " colors=palette)\n", - "plt.title('Distribuição de Área Desmatada por Bioma')\n", - "plt.axis('equal') # Para garantir que o gráfico seja um círculo\n", - "\n", - "# Exibir o gráfico\n", - "plt.tight_layout()\n", - "plt.show()\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 559 - }, - "id": "Aux4WAmZMu9J", - "outputId": "ea4f653d-d1bc-479d-c850-0530c4711d64", - "collapsed": true - }, - "execution_count": 158, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "\n", - "# Agrupar dados por tipo de pressão e calcular a soma da área desmatada\n", - "vpressao_data = df_desmatamento.groupby('VPRESSAO')['AREAHA'].sum()\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "# Ordenar do maior para o menor\n", - "vpressao_data = vpressao_data.sort_values(ascending=False)\n", - "\n", - "# Definir a paleta de cores\n", - "palette = sns.color_palette(\"husl\", len(vpressao_data.index))\n", - "\n", - "# Criar gráfico de barras\n", - "plt.figure(figsize=(10, 6))\n", - "bars = sns.barplot(x=vpressao_data.index, y=vpressao_data.values, palette=palette)\n", - "plt.xlabel('Tipo de Pressão')\n", - "plt.ylabel('Área Desmatada (ha)')\n", - "plt.title('Distribuição de Área Desmatada por Tipo de Pressão')\n", - "plt.xticks(rotation=45, ha='right')\n", - "\n", - "# Mostrar o gráfico\n", - "plt.tight_layout()\n", - "\n", - "plt.show()\n", - "\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 688 - }, - "id": "pVoJiHwRMu4V", - "outputId": "1e37c654-6db1-443a-90d8-98b44412fdca", - "collapsed": true - }, - "execution_count": 160, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - ":16: FutureWarning: \n", - "\n", - "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", - "\n", - " bars = sns.barplot(x=vpressao_data.index, y=vpressao_data.values, palette=palette)\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**Integrando as bases de dados**" - ], - "metadata": { - "id": "_q7zkPedSmZl" - } - }, - { - "cell_type": "code", - "source": [ - "# importando dados\n", - "\n", - "df_desmatamento = pd.read_csv('desmatamento.csv')\n", - "\n", - "df_co2 = pd.read_csv('co2.csv')\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "\n", - "print(df_desmatamento.head())\n", - "\n", - "print(df_co2.head())" - ], - "metadata": { - "id": "I94Is9Ugs3l4", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "29b117b7-82d5-4c70-c7a1-b2458dc44958" - }, - "execution_count": 182, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", - "1 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", - "2 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", - "3 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", - "4 Cerrado BAHIA Baianópolis 2.91 2021 agriculture\n", - " Municípios Ano CO2_emitido\n", - "0 São Desidério 2019 2024107\n", - "1 Formosa do Rio Preto 2019 4220327\n", - "2 Jaborandi 2019 1706967\n", - "3 Correntina 2019 1545572\n", - "4 Barreiras 2019 1568927\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Contando o número de municípios únicos em cada DataFrame\n", - "num_municipios_desmatamentos = df_desmatamento['MUNICIPIO'].nunique()\n", - "num_municipios_co2s = df_co2['Municípios'].nunique()\n", - "\n", - "print(f\"Número de municípios únicos em df_desmatamentos: {num_municipios_desmatamentos}\")\n", - "print(f\"Número de municípios únicos em df_co2s: {num_municipios_co2s}\")" - ], - "metadata": { - "id": "t4uBo8XzwXuK", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "179fc76e-7a88-4018-8d30-6d90ea73004f" - }, - "execution_count": 183, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Número de municípios únicos em df_desmatamentos: 392\n", - "Número de municípios únicos em df_co2s: 31\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Limpar e padronizar os nomes de municípios\n", - "\n", - "df_desmatamento['MUNICIPIO'] = df_desmatamento['MUNICIPIO'].str.strip().str.lower()\n", - "df_co2['Municípios'] = df_co2['Municípios'].str.strip().str.lower()\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "\n", - "print(df_desmatamento.head())\n", - "\n", - "print(df_co2.head())\n" - ], - "metadata": { - "id": "_NzU6L8rSa0b", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "fce92492-a11a-48fd-d4a8-ceb7fed96b03" - }, - "execution_count": 184, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Cerrado BAHIA canápolis 2.30 2021 agriculture\n", - "1 Cerrado BAHIA são desidério 12.52 2021 agriculture\n", - "2 Cerrado BAHIA luís eduardo magalhães 4.83 2021 agriculture\n", - "3 Cerrado BAHIA riachão das neves 7.41 2021 agriculture\n", - "4 Cerrado BAHIA baianópolis 2.91 2021 agriculture\n", - " Municípios Ano CO2_emitido\n", - "0 são desidério 2019 2024107\n", - "1 formosa do rio preto 2019 4220327\n", - "2 jaborandi 2019 1706967\n", - "3 correntina 2019 1545572\n", - "4 barreiras 2019 1568927\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Municípios que estão apenas em df_desmatamento\n", - "municipios_exclusivos_desmatamento = set(df_desmatamento['MUNICIPIO'].unique()) - set(df_co2['Municípios'].unique())\n", - "print(\"Municípios exclusivos em df_desmatamento:\", municipios_exclusivos_desmatamento)\n", - "\n", - "# Municípios que estão apenas em df_co2\n", - "municipios_exclusivos_co2 = set(df_co2['Municípios'].unique()) - set(df_desmatamento['MUNICIPIO'].unique())\n", - "print(\"Municípios exclusivos em df_co2:\", municipios_exclusivos_co2)\n" - ], - "metadata": { - "id": "U-aGD1oLwuaZ", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "ec906307-0445-4775-f730-c6c9d0f02482" - }, - "execution_count": 185, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Municípios exclusivos em df_desmatamento: {'boa vista do tupim', 'una', 'pintadas', 'teolândia', 'ibitiara', 'jacaraci', 'milagres', 'tabocas do brejo velho', 'uruçuca', 'barrocas', 'ituaçu', 'porto seguro', 'eunápolis', 'boquira', 'jeremoabo', 'mirante', 'ribeira do pombal', 'irará', 'candeal', 'caculé', 'andaraí', 'érico cardoso', 'nova ibiá', 'olindina', 'gentio do ouro', 'quixabeira', 'cardeal da silva', 'itapitanga', 'conceição do jacuípe', 'são sebastião do passé', 'brejões', 'tremedal', 'caém', 'marcionílio souza', 'itajuípe', 'camacan', 'simões filho', 'maragogipe', 'itacaré', 'mulungu do morro', 'serra preta', 'pindobaçu', 'capim grosso', 'jussari', 'santa inês', 'uibaí', 'joão dourado', 'poções', 'nova itarana', 'aurelino leal', 'ibipeba', 'itaguaçu da bahia', 'itabuna', 'salinas da margarida', 'bonito', 'tapiramutá', 'ibiassucê', 'jaguaquara', 'medeiros neto', 'planaltino', 'água fria', 'jaguarari', 'banzaê', 'buritirama', 'pilão arcado', 'aracatu', 'jitaúna', 'ipirá', 'esplanada', 'queimadas', 'castro alves', 'ouriçangas', 'muquém do são francisco', 'itanhém', 'irecê', 'ibiquera', 'ourolândia', 'itagimirim', 'pojuca', 'anguera', 'elísio medrado', 'inhambupe', 'matina', 'miguel calmon', 'botuporã', 'cristópolis', 'boninal', 'conceição do almeida', 'cipó', 'quijingue', 'dom basílio', 'ibotirama', 'rio do antônio', 'caatiba', 'teodoro sampaio', 'ribeirão do largo', 'cansanção', 'utinga', 'gandu', 'ipecaetá', 'antônio gonçalves', 'mata de são joão', 'sátiro dias', \"dias d'ávila\", 'araci', 'paripiranga', 'itaquara', 'jiquiriçá', 'iramaia', 'campo alegre de lourdes', 'arataca', 'sobradinho', 'heliópolis', 'saubara', 'itororó', 'igaporã', 'pindaí', 'ibicaraí', 'paramirim', 'barro preto', 'santo antônio de jesus', 'morpará', 'umburanas', 'nova canaã', 'ubaitaba', 'chorrochó', 'brumado', 'salvador', 'nova soure', 'macarani', 'são felipe', 'mascote', 'ribeira do amparo', 'oliveira dos brejinhos', 'itanagra', 'piraí do norte', 'boa nova', 'são josé da vitória', 'novo horizonte', 'taperoá', 'antas', 'serra do ramalho', 'são gabriel', 'macaúbas', 'mairi', 'amélia rodrigues', 'canudos', 'candeias', 'macajuba', 'jacobina', 'presidente jânio quadros', 'santa cruz da vitória', 'wagner', 'ruy barbosa', 'nova viçosa', 'ibititá', 'iaçu', 'jaguaripe', 'uauá', 'coronel joão sá', 'contendas do sincorá', 'santa terezinha', 'aiquara', 'catu', 'coaraci', 'carinhanha', 'paratinga', 'urandi', 'itabela', 'iraquara', 'mirangaba', 'aramari', 'ibicoara', 'livramento de nossa senhora', 'belo campo', 'manoel vitorino', 'conceição do coité', 'casa nova', 'caravelas', 'mansidão', 'piripá', 'prado', 'aratuípe', 'lajedo do tabocal', 'planalto', 'são josé do jacuípe', 'caldeirão grande', 'baixa grande', 'santa luzia', 'sítio do mato', 'firmino alves', 'vera cruz', 'cândido sales', 'rodelas', 'fátima', 'terra nova', 'jandaíra', 'américa dourada', 'alcobaça', 'araçás', 'lagoa real', 'itiúba', 'juazeiro', 'itaeté', 'palmeiras', 'bom jesus da serra', 'lajedinho', 'ubaíra', 'wanderley', 'santa cruz cabrália', 'presidente tancredo neves', 'monte santo', 'itaju do colônia', 'itapebi', 'feira da mata', 'jussiape', 'maetinga', 'jucuruçu', 'itaberaba', 'souto soares', 'cravolândia', 'maiquinique', 'morro do chapéu', 'sítio do quinto', 'camaçari', 'gongogi', 'guanambi', 'ponto novo', 'cabaceiras do paraguaçu', 'nordestina', 'itapé', 'euclides da cunha', 'vitória da conquista', 'nova redenção', 'floresta azul', 'brejolândia', 'acajutiba', 'lençóis', 'mundo novo', 'adustina', 'condeúba', 'senhor do bonfim', 'guajeru', 'ibirataia', 'campo formoso', 'curaçá', 'rio do pires', 'itamari', 'santa bárbara', 'angical', 'ubatã', 'mucuri', 'abaré', 'abaíra', 'caraíbas', 'bom jesus da lapa', 'pau brasil', 'anagé', 'ituberá', 'catolândia', 'muniz ferreira', 'teixeira de freitas', 'barra do choça', 'são félix do coribe', 'rafael jambeiro', 'wenceslau guimarães', 'nazaré', 'canápolis', 'iuiu', 'serrolândia', 'ichu', 'apuarema', 'são gonçalo dos campos', 'aporá', 'santo amaro', 'buerarema', 'brotas de macaúbas', 'tanhaçu', 'itamaraju', 'macururé', 'filadélfia', 'pé de serra', 'coribe', 'caetité', 'malhada de pedras', 'piritiba', 'conde', 'vereda', 'valente', 'lafaiete coutinho', 'ibirapuã', 'alagoinhas', 'cafarnaum', 'mucugê', 'serra dourada', 'são félix', 'crisópolis', 'seabra', 'várzea nova', 'licínio de almeida', 'cícero dantas', 'ipupiara', 'biritinga', 'almadina', 'riacho de santana', 'feira de santana', 'pedrão', 'remanso', 'irajuba', 'piatã', 'serrinha', 'cachoeira', 'palmas de monte alto', 'barra do rocha', 'riachão do jacuípe', 'santana', 'glória', 'santanópolis', 'barra do mendes', 'sebastião laranjeiras', 'santa brígida', 'rio real', 'laje', 'sapeaçu', 'canavieiras', 'potiraguá', 'pedro alexandre', 'sento sé', 'ibipitanga', 'itiruçu', 'paulo afonso', 'coração de maria', 'caturama', 'cairu', 'itagi', 'caetanos', 'tucano', 'itatim', 'ipiaú', 'xique-xique', 'malhada', 'rio de contas', 'candiba', 'santo estêvão', 'itapicuru', 'santaluz', 'entre rios', 'varzedo', 'mortugaba', 'cordeiros', 'amargosa', 'várzea da roça', 'tanque novo', 'maracás', 'santa maria da vitória', 'mutuípe', 'barra da estiva', 'novo triunfo', 'saúde', 'conceição da feira', 'andorinha', 'jussara'}\n", - "Municípios exclusivos em df_co2: {'outros'}\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Municípios que estão em ambos os DataFrames\n", - "municipios_comuns = set(df_desmatamento['MUNICIPIO'].unique()).intersection(set(df_co2['Municípios'].unique()))\n", - "print(\"Municípios em ambos os DataFrames:\", municipios_comuns)\n" - ], - "metadata": { - "id": "Y1u6byQ3wyx3", - "colab": { - "base_uri": "https://localhost:8080/" - }, - "outputId": "24e6574c-00fc-4e11-f49d-42aed684babf" - }, - "execution_count": 186, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Municípios em ambos os DataFrames: {'jaborandi', 'itapetinga', 'itarantim', 'dário meira', 'cocos', 'formosa do rio preto', 'santa rita de cássia', 'ibirapitanga', 'riachão das neves', 'jequié', 'luís eduardo magalhães', 'encruzilhada', 'barreiras', 'baianópolis', 'valença', 'iguaí', 'ilhéus', 'nilo peçanha', 'maraú', 'cotegipe', 'são desidério', 'itagibá', 'barra', 'ibicuí', 'itambé', 'igrapiúna', 'camamu', 'guaratinga', 'correntina', 'belmonte'}\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Conta os códigos únicos\n", - "num1 = df_combined['Municipio'].nunique()\n", - "\n", - "print(f\"Existem {num1} valores únicos no arquivo CSV.\")\n", - "\n", - "# Conta os códigos únicos\n", - "num2 = df_combined['Ano'].nunique()\n", - "\n", - "print(f\"Existem {num2} valores únicos no arquivo CSV.\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "0s1t5ucb98_G", - "outputId": "bf953e95-ad19-4fff-e4d4-f6ddff51165f" - }, - "execution_count": 189, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Existem 393 valores únicos no arquivo CSV.\n", - "Existem 4 valores únicos no arquivo CSV.\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [], - "metadata": { - "id": "5aY0j-69-tgq" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [], - "metadata": { - "id": "0J0luGwP981C" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [ - "# Unindo as tabelas pelo ano\n", - "df_unido = pd.merge(df_desmatamento, df_co2, left_on=['ANODETEC'], right_on=['Ano'], how='outer')\n", - "df_unido.head()" - ], - "metadata": { - "id": "ZSxqzlNRxQpo", - "colab": { - "base_uri": "https://localhost:8080/", - "height": 206 - }, - "outputId": "c6034e5b-1532-4ac8-e78c-2762f9307382" - }, - "execution_count": 191, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO \\\n", - "0 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", - "1 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", - "2 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", - "3 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", - "4 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", - "\n", - " Municípios Ano CO2_emitido \n", - "0 são desidério 2019 2024107 \n", - "1 formosa do rio preto 2019 4220327 \n", - "2 jaborandi 2019 1706967 \n", - "3 correntina 2019 1545572 \n", - "4 barreiras 2019 1568927 " - ], - "text/html": [ - "\n", - "
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BIOMAESTADOMUNICIPIOAREAHAANODETECVPRESSAOMunicípiosAnoCO2_emitido
0Mata AtlânticaBAHIAcândido sales21.22019agriculturesão desidério20192024107
1Mata AtlânticaBAHIAcândido sales21.22019agricultureformosa do rio preto20194220327
2Mata AtlânticaBAHIAcândido sales21.22019agriculturejaborandi20191706967
3Mata AtlânticaBAHIAcândido sales21.22019agriculturecorrentina20191545572
4Mata AtlânticaBAHIAcândido sales21.22019agriculturebarreiras20191568927
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}, - "execution_count": 195, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Existem 31 valores únicos no arquivo CSV.\n", - "Existem 4 valores únicos no arquivo CSV.\n", - "Existem 392 valores únicos no arquivo CSV.\n", - "Existem 4 valores únicos no arquivo CSV.\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Salvando o arquivo final em CSV INTEGRADO PELO ANO\n", - "df_unido.to_csv('dados_integrados.csv', index=False, encoding='utf-8')" - ], - "metadata": { - "id": "oGNhlhwlsaTK" - }, - "execution_count": 197, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "Integrando de outra forma" - ], - "metadata": { - "id": "srl3RNKlHDgb" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "import numpy as np\n", - "\n", - "# importando dados\n", - "\n", - "df_desmatamento = pd.read_csv('desmatamento.csv')\n", - "\n", - "df_co2 = pd.read_csv('co2.csv')\n", - "\n", - "# Exibindo as primeiras linhas dos DataFrames para verificar\n", - "\n", - "print(df_desmatamento.head())\n", - "\n", - "print(df_co2.head())\n", - "\n", - "#df_integrado = pd.read_csv('dados_integrados.csv')\n", - "\n", - "\n", - "#correlation = df_co2['CO2_emitido'].corr(df_desmatamento['AREAHA'])\n", - "#print(f'A correlação entre emissões de CO2 e desmatamento é: {correlation}')\n", - "\n", - "\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "V4nELkDH7DpW", - "outputId": "3e007f6d-addc-45bb-e929-0f827e100adb" - }, - "execution_count": 217, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - "0 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", - "1 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", - "2 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", - "3 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", - "4 Cerrado BAHIA Baianópolis 2.91 2021 agriculture\n", - " Municípios Ano CO2_emitido\n", - "0 São Desidério 2019 2024107\n", - "1 Formosa do Rio Preto 2019 4220327\n", - "2 Jaborandi 2019 1706967\n", - "3 Correntina 2019 1545572\n", - "4 Barreiras 2019 1568927\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "\n", - "\n", - "# Exibir as primeiras linhas de cada arquivo para verificar as colunas e o conteúdo\n", - "df_desmatamento_head = df_desmatamento.head()\n", - "df_co2_head = df_co2.head()\n", - "\n", - "# Verificar as informações gerais de cada dataframe\n", - "df_desmatamento_info = df_desmatamento.info()\n", - "df_co2_info = df_co2.info()\n", - "\n", - "df_desmatamento_head, df_co2_head, df_desmatamento_info, df_co2_info\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "rVTDUEMLu0_O", - "outputId": "c9f90705-7b79-45b4-9216-2b293fd4da20" - }, - "execution_count": 219, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "\n", - "RangeIndex: 17026 entries, 0 to 17025\n", - "Data columns (total 6 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 BIOMA 17026 non-null object \n", - " 1 ESTADO 17026 non-null object \n", - " 2 MUNICIPIO 17026 non-null object \n", - " 3 AREAHA 17026 non-null float64\n", - " 4 ANODETEC 17026 non-null int64 \n", - " 5 VPRESSAO 17026 non-null object \n", - "dtypes: float64(1), int64(1), object(4)\n", - "memory usage: 798.2+ KB\n", - "\n", - "RangeIndex: 124 entries, 0 to 123\n", - "Data columns (total 3 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Municípios 124 non-null object\n", - " 1 Ano 124 non-null int64 \n", - " 2 CO2_emitido 124 non-null int64 \n", - "dtypes: int64(2), object(1)\n", - "memory usage: 3.0+ KB\n" - ] - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "( BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", - " 0 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", - " 1 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", - " 2 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", - " 3 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", - " 4 Cerrado BAHIA Baianópolis 2.91 2021 agriculture,\n", - " Municípios Ano CO2_emitido\n", - " 0 São Desidério 2019 2024107\n", - " 1 Formosa do Rio Preto 2019 4220327\n", - " 2 Jaborandi 2019 1706967\n", - " 3 Correntina 2019 1545572\n", - " 4 Barreiras 2019 1568927,\n", - " None,\n", - " None)" - ] - }, - "metadata": {}, - "execution_count": 219 - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Normalizar os nomes das colunas para facilitar a junção e verificar correspondência de chaves\n", - "df_desmatamento.rename(columns={'MUNICIPIO': 'Municípios', 'ANODETEC': 'Ano'}, inplace=True)\n", - "\n", - "# Verificar a quantidade de municípios e anos que coincidem nos dois datasets\n", - "municipios_comum = set(df_desmatamento['Municípios']).intersection(set(df_co2['Municípios']))\n", - "anos_comum = set(df_desmatamento['Ano']).intersection(set(df_co2['Ano']))\n", - "\n", - "# Quantidade de municípios e anos em comum\n", - "num_municipios_comum = len(municipios_comum)\n", - "num_anos_comum = len(anos_comum)\n", - "\n", - "num_municipios_comum, num_anos_comum\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "B58xXrNYF9Bb", - "outputId": "1e302408-98f5-4d96-ff9a-0a818348039d" - }, - "execution_count": 220, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "(30, 4)" - ] - }, - "metadata": {}, - "execution_count": 220 - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Realizar a junção dos dois datasets com base em 'Municípios' e 'Ano'\n", - "dados_combinados = pd.merge(df_desmatamento, df_co2, on=['Municípios', 'Ano'], how='inner')\n", - "\n", - "# Exibir as primeiras linhas do dataset combinado para verificar a integração\n", - "dados_combinados_head = dados_combinados.head()\n", - "\n", - "# Verificar o tamanho do novo dataset\n", - "dados_combinados_tamanho = dados_combinados.shape\n", - "\n", - "dados_combinados_head, dados_combinados_tamanho\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "tNNll3UXF84k", - "outputId": "7fdfe688-bd69-4b28-e2fe-13e7f85b898e" - }, - "execution_count": 221, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "( BIOMA ESTADO Municípios AREAHA Ano VPRESSAO \\\n", - " 0 Cerrado BAHIA São Desidério 12.52 2021 agriculture \n", - " 1 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture \n", - " 2 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture \n", - " 3 Cerrado BAHIA Baianópolis 2.91 2021 agriculture \n", - " 4 Cerrado BAHIA Santa Rita de Cássia 2.30 2021 agriculture \n", - " \n", - " CO2_emitido \n", - " 0 3159579 \n", - " 1 654262 \n", - " 2 761963 \n", - " 3 1700892 \n", - " 4 998700 ,\n", - " (4368, 7))" - ] - }, - "metadata": {}, - "execution_count": 221 - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Calcular a correlação entre 'AREAHA' e 'CO2_emitido'\n", - "correlacao = dados_combinados['AREAHA'].corr(dados_combinados['CO2_emitido'])\n", - "correlacao\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "0EBI-vpdF8v_", - "outputId": "0e49874e-f46e-4eb2-a65f-e6660bc2c9e3" - }, - "execution_count": 222, - "outputs": [ - { - "output_type": "execute_result", - "data": { - "text/plain": [ - "0.19009654611995852" - ] - }, - "metadata": {}, - "execution_count": 222 - } - ] - }, - { - "cell_type": "markdown", - "source": [], - "metadata": { - "id": "tANvvvt5Lajc" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "import numpy as np\n", - "\n", - "# Criar um DataFrame com os dados fornecidos\n", - "data = {\n", - " 'Ano': [2019, 2020, 2021, 2022],\n", - " 'CO2_emitido': [33720252, 33245171, 31815256, 31412973],\n", - " 'AREAHA': [64554.41, 113073.16, 154250.73, 227779.90]\n", - "}\n", - "\n", - "df = pd.DataFrame(data)\n", - "\n", - "# Criar gráfico de barras\n", - "fig, ax1 = plt.subplots(figsize=(12, 6))\n", - "\n", - "# Gráfico de barras para CO2\n", - "ax1.bar(df['Ano'], df['CO2_emitido'], color='blue', alpha=0.6, label='CO2 Emitido (toneladas)')\n", - "ax1.set_xlabel('Ano')\n", - "ax1.set_ylabel('CO2 Emitido (toneladas)', color='blue')\n", - "ax1.tick_params(axis='y', labelcolor='blue')\n", - "\n", - "# Criar um segundo eixo y para Área Desmatada\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(df['Ano'], df['AREAHA'], color='red', marker='o', label='Área Desmatada (ha)')\n", - "ax2.set_ylabel('Área Desmatada (ha)', color='red')\n", - "ax2.tick_params(axis='y', labelcolor='red')\n", - "\n", - "# Adicionar título e legenda\n", - "plt.title('Comparação entre Emissão de CO2 e Área Desmatada por Ano')\n", - "fig.tight_layout()\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 601 - }, - "id": "dCJ-RIZTLa0L", - "outputId": "4e2d57da-5932-4533-a009-fbba896c90a9" - }, - "execution_count": 231, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "# com dados somente de desmatamento do SEEG\n", - "\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import pandas as pd\n", - "import numpy as np\n", - "\n", - "# Criar um DataFrame com os dados fornecidos\n", - "data = {\n", - " 'Ano': [2019, 2020, 2021, 2022],\n", - " 'CO2_emitido': [32806856, 32098731, 30954581, 30209999],\n", - " 'AREAHA': [64554.41, 113073.16, 154250.73, 227779.90]\n", - "}\n", - "\n", - "df = pd.DataFrame(data)\n", - "\n", - "# Criar gráfico de barras\n", - "fig, ax1 = plt.subplots(figsize=(12, 6))\n", - "\n", - "# Gráfico de barras para CO2\n", - "ax1.bar(df['Ano'], df['CO2_emitido'], color='blue', alpha=0.6, label='CO2 Emitido (toneladas)')\n", - "ax1.set_xlabel('Ano')\n", - "ax1.set_ylabel('CO2 Emitido (toneladas)', color='blue')\n", - "ax1.tick_params(axis='y', labelcolor='blue')\n", - "\n", - "# Criar um segundo eixo y para Área Desmatada\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(df['Ano'], df['AREAHA'], color='red', marker='o', label='Área Desmatada (ha)')\n", - "ax2.set_ylabel('Área Desmatada (ha)', color='red')\n", - "ax2.tick_params(axis='y', labelcolor='red')\n", - "\n", - "# Adicionar título e legenda\n", - "plt.title('Comparação entre Emissão de CO2 e Área Desmatada por Ano')\n", - "fig.tight_layout()\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 601 - }, - "id": "5iod6JkuWrwP", - "outputId": "a008303b-6ead-4541-9430-9039a86547e5" - }, - "execution_count": 246, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "# com dados somente de desmatamento do SEEG\n", - "\n", - "import pandas as pd\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Criar um DataFrame com os dados fornecidos\n", - "data = {\n", - " 'Ano': [2019, 2020, 2021, 2022],\n", - " 'CO2_emitido': [32806856, 32098731, 30954581, 30209999],\n", - " 'AREAHA': [64554.41, 113073.16, 154250.73, 227779.90]\n", - "}\n", - "\n", - "df = pd.DataFrame(data)\n", - "\n", - "# Calcular a correlação\n", - "correlation = df[['CO2_emitido', 'AREAHA']].corr()\n", - "\n", - "# Exibir a correlação\n", - "print(\"Coeficiente de Correlação:\")\n", - "print(correlation)\n", - "\n", - "# Criar um mapa de calor\n", - "plt.figure(figsize=(8, 6))\n", - "sns.heatmap(correlation, annot=True, cmap='coolwarm', center=0, cbar_kws={\"shrink\": .8})\n", - "plt.title('Mapa de Calor da Correlação entre CO2 Emitido e Área Desmatada')\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 622 - }, - "id": "S83kpX3XLvwN", - "outputId": "4d0f0764-148c-40f4-d0b0-0bdd5b6a0d4a" - }, - "execution_count": 251, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Coeficiente de Correlação:\n", - " CO2_emitido AREAHA\n", - "CO2_emitido 1.000000 -0.981453\n", - "AREAHA -0.981453 1.000000\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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H6tGjh1C/fn0hLS1NEARBePLkiWBvby80bNhQePHihUIZy5cvF+zt7YVx48YppMfExAiOjo7CypUrFdJv374tODk5KaRPnDixWK/Bw4cPhc8++0wYPny4wvslCG8/W3lev36tdO7fffedUK9ePfnnMTs7W/Dw8BDat28vZGZmyvMdPXpUsLe3F5YtW6ZUxrtWrFgh1K9fX3jw4IFC+qJFiwRHR0chLi5OEIR/X0t3d3chOTlZni/vvTty5Ig8bebMmYK9vb3SsQp7Pz7UdXbr1i3B3t5emDNnTqH5OnToILi7uxeaZ8WKFYK9vb1w+vTpIo87ceJE+Xfb+48BAwbI8+Vd2wMGDFD4LPTo0UNwcHAQpk+fLk978+aN4OXlJfTp00fhWPb29sLy5cvlz9etW6fwffGuFi1aCBMnTpQ//+GHHwR7e3vh2rVr8rQXL14Irq6uxf7Oyc+UKVMET09PISkpSSF97Nixgqura77fhe8bMmSI0LNnT/nznTt3Ck5OTkqfrbzXftGiRQrpFy5cEOzt7YV9+/YppJ84cUIpPb/6vH8tFuTd382CuLq6Cp07d5Y/F3s9dOzYUem39n15579q1Sp5WkpKiuDi4iI4ODgI4eHh8vT79+8rfX6ysrKUvqeePHkiODs7CyEhIfK069evK/1+5snv9Vu9erXg4OAgxMbGytM+xO8NqUexl+rx9/dHVlYWjh49ivT0dBw7dqzQyQzvjuVISUlBWloaXF1d8ffffyvlbdCgAZydneXPra2t0bJlS5w8eVLeTfBueTk5OXj58iVsbGwglUrzLfNdJ06cQJkyZdCrVy95mq6uLvr06aOQLzk5GWfPnoW/vz/S09ORlJSEpKQkvHz5Es2aNcPDhw8L7RpMT08HABgbGxdanzzvnlNWVhaSkpJQr149AMDNmzcL3O/06dPIyclBv379FLrWunfvDhMTExw/flwhv76+Prp06VJkfRISEnDr1i18/vnnMDU1lad7enqiVq1ahda/qPf4Xaq+TidOnIClpSXat28vT9PT00Pfvn3x+vVrpSEOrVu3LrClpWfPngrPo6KiIJPJ4O/vL3+/k5KSUKFCBVSvXh3nzp0rtG5iXoNDhw5BJpNh+PDhSl2h77Yuv9t6nvf5a9SoETIyMuRdpTdu3MCLFy/Qq1cvhdYhHx8f2NnZ4dixY4XWNzIyEq6urpBKpQrn27RpU+Tm5iq9lgEBAQott3mT5p48eVLocd71/vvxIa8zsXmNjY3lefNz4cIFrFixAv7+/vDw8CjyuMDbsYj/+9//lB55Xajv6tatm8JnwcXFBYIgyLsGgbffWc7Oziq99kU5fvw46tevDxcXF3mahYWF0ne7qt857xIEAQcPHoSvry8EQVD43DVr1gxpaWmFft8BwMuXL3Hy5EmF74DWrVtDIpFg//79+e7z7vc98Pazb2pqCk9PT4U61KlTB0ZGRgrX+rvXdUHXYkkYGRnh1atXAFS7HqRSKe7evYuHDx8WeYzu3bvL/5ZKpahRowbKli0Lf39/ebqdnR2kUqnCZ0pfX1/+Hufm5uLly5cwMjJCjRo1ivxuz/Pu6/f69WskJSWhQYMGEARBXsaH+r0h9ShWtzXw9gvFw8MDYWFhyMzMRG5ubr7jjfIcPXoUK1euxK1bt5CdnS1Pz68rtnr16kpptra2yMjIQFJSEiwtLZGZmYnVq1fj999/R3x8vMK4n4LGLuaJjY2FpaWl0g/I+0t5PH78GIIgYNmyZVi2bFm+Zb148aLAiQx5XVGvXr0StURGcnIyQkJCEBERgRcvXihsK+yc4uLiALy98N+lr6+PatWqITY2ViG9YsWKogbK55Wb3/uR3xeHKu/xu959ncSIjY1F9erVlQKvmjVrKtQ7T9WqVQss6/1tDx8+hCAIBS4L9O4EsfyIeQ0eP34MHR0deX0LcvfuXfz00084e/asUiCT93nIO9f8lnuys7PDpUuXCj3Go0ePcPv27QIDoPe7WStXrqzwPC+QVGXtyfdf8w95nYn9rL169arAAPP+/fsYMWIEateune/s6YLo6uqiadOmovK+v1RQ3o/p+6+/qamp0vi8koiLi5P/w/qu9z9fqn7nvCspKQmpqanYuXOnwrjS9/MUJiIiAjk5OXB0dMSjR4/k6S4uLggNDUXv3r0V8pcpU0ap6/PRo0dIS0sr8LP/7newmGuxJF6/fi0fPqTK9TBq1CgMGzYMbdq0gb29PZo1a4ZOnTopzdw2MDBQ+gfa1NQUlSpVUvp+NjU1VbieZTIZNm/ejG3btiEmJkZhnKe5ubmo84uLi8Py5ctx5MgRpc9r3uv5oX5vSD2KHTwCQPv27fHdd98hMTERXl5eBX5xX7x4EV9//TXc3Nzw/fffw9LSEnp6eti9ezfCwsKKdezZs2fj999/R2BgIOrXrw9TU1NIJBKFsWsllTdIfMCAAWjevHm+eWxsbArcP++L9c6dO0rLGuVnzJgxuHLlCoKCguDo6AgjIyPIZDIMHDhQbecEQCMz+kryHr/7OmlCYef7/lgumUwGiUSCtWvX5ruESmEzNNX5OU9NTUWfPn1gYmKCUaNGwcbGBgYGBrh58yYWLVqktnv4ymQyeHp6YuDAgflut7W1VXhe0LIyqnw+338/PuR1ZmNjgzJlyuD27dsF5snOzsaDBw8Uej/yPH36FEFBQTAxMcGaNWs0tj5fQbfZ04bb7+W93x07dsTnn3+eb568SVYFyZvU8X5rYp4nT54ojGl9t/Xs3XqUL18eixYtyreMvGBL09fis2fPkJaWJv+Mq3I9uLm5ISoqCocPH8apU6fw22+/YdOmTZg5c6ZCS2NB162Y63nVqlVYtmwZunbtitGjR8PMzAw6OjqYO3euqOs+NzcX/fv3R0pKCgYOHAg7OzsYGRkhPj4ekyZNKtbrp4mYglRTouCxVatW+P7773H16tVCl5w5cOAADAwMsH79eoUWr927d+eb/93/JPM8fPgQZcuWlV/QBw4cQOfOnRVmCmZlZYn6L7BKlSo4e/asUuvCgwcPFPLlffno6emJbjF4V4sWLbB69Wrs27evyB+1lJQUnDlzBiNHjsSIESPk6WK6I/JaKaKjoxW+MLOzsxETE1Osur9bbn7vx/uvlarv8btq1KiBGjVq4PDhw4W2+OSpUqUKbt++DZlMpvCDkNd99H6rjSpsbGwgCAKqVq2q8uLtYl8DGxsbyGQy3L9/v8D10M6fPy9viXZzc5Onv7+aQN65PnjwQKkF5cGDB0W+FjY2Nnj9+nWxPyP5UfU//w95nRkZGaFx48Y4e/YsYmNjUaVKFaU8ERERyM7OVpjdD7ztKh0wYACys7Oxbdu2T2LNTUC198Pa2lrU9V6S7xwLCwsYGxtDJpMV6/1+8uQJrly5gj59+ihcG8DbwOvbb79FaGgohg0bVmg5NjY2OHPmDBo2bFjoP5hir8Xi+uOPPwBAPlFO1evB3NwcXbt2RdeuXfHq1Sv06dMHwcHBCsFjSRw4cACNGzfG3LlzFdJTU1MVJosV9Dm7c+cOHj58iAULFihM7Hp3Rjjw4X5vSD1K9G+ssbExZsyYgZEjRxZ66yBdXV1IJBKF5u6YmJgCl+G4cuWKwpiXp0+f4vDhw/D09JT/p5Tff0xbtmwRtXSCl5cX3rx5g+3bt8vTcnNzsXXrVoV85cuXh7u7O3bu3ImEhASlcorqWslbEuHXX3/FoUOHlLZnZ2djwYIFBZ4PAGzatKnI82natCn09PSwZcsWhf8Ef/vtN6SlpRV74VwrKys4Ojpiz549CkH5qVOncO/ePYW8qr7H7xs1ahSSk5Mxbdq0fNdzPHnyJI4ePQrg7fv3/PlzREREyLe/efMGW7ZsgZGRkdIPiipat24NXV1dhISEKP1XLQhCocsmiX0N/Pz8oKOjgxUrVij91513zLyg+N065AUt73J2dkb58uWxY8cOha6b48eP4/79+0XOOvT398eVK1fw559/Km1LTU0t1tqaeWM1xXZlf8jrDAC+/vprCIKASZMmKS0V8uTJEyxatAiWlpbo0aOHPP3169cYPHgw4uPjsWbNGqUW2Y9Z3vsh5h9rb29vXL16VWH5paSkJKXlW0rynaOrq4s2bdrgwIED+fY2FPV+59Vl4MCBaNu2rcIjICBAPuu6KP7+/sjNzcXPP/+stO3Nmzfyz6/Ya7E4zpw5g59//hlVq1ZFx44dAah2Pbz/fWRsbAwbGxuF74KS0tXVVfou3L9/v9I45IKu+/xeP0EQsHnzZoV8H/L3hkquRC2PAArsdniXt7c3/ve//2HgwIFo3749Xrx4gW3btsHGxibf7iN7e3sEBQUpLNUDQOGOFT4+Pvjjjz9gYmKCWrVq4erVqzh9+rSoMRi+vr5o2LAhFi9ejNjYWNSqVQsHDx7M98v1+++/x5dffokOHTrgiy++QLVq1ZCYmIirV6/i2bNnSmtzvW/hwoUYMGAARowYgRYtWsDDwwNly5bFo0ePEBERgYSEBEycOBEmJiZwc3PDunXrkJOTg4oVK+LUqVOi/ru1sLDAkCFDEBISgoEDB8LX1xcPHjzAtm3b5GsgFte4ceMwZMgQfPnll+jatSuSk5OxdetW1K5dG69fv5bnU/U9fl9AQABu376NVatW4e+//0b79u3ld5j5888/cebMGSxevBgA0KNHD+zcuROTJk3CzZs3UaVKFRw4cACXL1/GlClTStSVaGNjgzFjxsg/G35+fjA2NkZMTAwOHTqEL774AkFBQfnuK/Y1qF69OoYOHYqff/4ZX375JVq3bi2/RZ2VlRXGjx+PBg0awMzMDJMmTULfvn0hkUjwxx9/KH2J6+npYcKECZg8eTL69OmDdu3ayZfqqVKlSpFLngQFBeHIkSMYOnQoPv/8c9SpUwcZGRm4c+cODhw4gMOHDxc42aggderUAfB2uZlmzZpBV1cX7dq1K3SfD3WdAW+7+iZOnIh58+bJu07fvcOMTCbDmjVrFCYGTZgwAdevX0fXrl1x//59+dqUwNsfbD8/vyJflzdv3shbmd7XqlUrjS1anfd+LF26FAEBAdDT00OLFi3yPd7AgQPxxx9/YODAgejXr598qR5ra2uFz3BJv3PGjx+Pc+fO4YsvvkD37t1Rq1YtpKSk4ObNmzhz5gzOnz9f4L6hoaFwdHRUGv+Zx9fXF7Nnz8bNmzfl554fd3d39OjRA6tXr8atW7fg6ekJPT09PHz4EJGRkZg6dSratm0r+losyokTJxAdHY3c3FwkJibi3LlzOHXqFKytrbFy5UqFITRir4d27drB3d0dderUgbm5Of766y8cOHBAafJnSfj4+GDFihWYPHkyGjRogDt37iA0NFRpqau8Cas7duyAsbExjIyM4OLiAjs7O9jY2GDBggWIj4+HiYkJDhw4kO8/lx/q94ZKrsTBoxgeHh744YcfsHbtWsydOxdVq1bFhAkTEBsbm+8b7ebmhvr162PFihWIi4tDrVq1MG/ePIVBwFOnToWOjg5CQ0ORlZWFhg0byj9MRdHR0cHKlSsxd+5c7Nu3DxKJRL5Y7vvrpdWqVQu7d+9GSEgI9uzZg+TkZFhYWMDJyQnDhw8v8lgWFhbYsWMHtm3bhoiICCxduhQ5OTmoUqUKfH190a9fP3nexYsXY/bs2di2bRsEQYCnpyfWrl1b4LiXd40cORIWFhbYunUr5s2bBzMzM3zxxRcYN25coeutFcXLywvLli3DTz/9hMWLF8PGxgbz5s3D4cOHFb7gVX2P8zN27Fg0adIEW7Zswfbt25GSkgKpVIp69erh559/RsuWLQG8HTO3ZcsWLFq0CHv27EF6ejpq1KiBefPmiZpFXpTBgwfD1tYWGzduxIoVKwAAlSpVgqenZ6Et7Kq8BqNHj0bVqlWxdetWeauYu7u7fK3CcuXKYdWqVViwYAF++uknSKVSdOzYER4eHkrBa5cuXWBoaIi1a9di0aJFMDIygp+fH7755psiJ5CULVsWW7ZswerVqxEZGYm9e/fCxMQEtra2GDlypMKsR7Fat26Nvn37Ijw8HPv27YMgCEUGjx/yOgOAr776Cs7OztiwYQM2bdqE9PR0WFpaom3bthg6dKhSd3begsi7d+9W6hqrUqWKqOAxOzsb3377bb7bDh8+rLHg0cXFBaNHj8aOHTvw559/QiaTFXg8KysrbN68GXPmzMGaNWtgbm6Onj17wsrKSmnNz5J851SoUAG//vorVqxYgaioKGzfvh3m5uaoVatWvrPP89y8eRPR0dGFdkm3aNECs2fPlt99pjCzZs2Cs7MzduzYgaVLl0JXVxdVqlRBx44d5WsUqnItFiZvPUM9PT2Ym5vD3t4eU6ZMyffe1mKvh759++LIkSM4deqU/F7uY8aMUaleRRk6dCgyMjIQGhqKiIgIODk5YfXq1fJ/5vPo6elh/vz5WLJkCWbMmIE3b97Iv5NXrVqFOXPmYPXq1TAwMECrVq3Qu3dvpbVZP+TvDZWMRFDnTAw1cHBwQO/evTF9+vTSrgrRBxETE4MBAwYgLCzsk79dHBERab9Pf+oe0SeuatWqMDIyKnJZHSIioo/BB+m2JqL8BQcHo1y5cnj06JHCmB4iIqKPFYNHolK0d+9eJCQkoHHjxqLGthIREZW2j27MIxERERF9vDjmkYiIiIhEY/BIRERERKIxeCQiIiIi0Rg8EhEREZFon8Rs63A9h9KuAhFpyIL260u7CkSkISf2NCvtKpAGsOWRiIiIiERj8EhEREREojF4JCIiIiLRGDwSERERkWgMHomIiIhINAaPRERERCQag0ciIiIiEo3BIxERERGJxuCRiIiIiERj8EhEREREojF4JCIiIiLRGDwSERERkWgMHomIiIhINAaPRERERCQag0ciIiIiEo3BIxERERGJxuCRiIiIiERj8EhEREREojF4JCIiIiLRGDwSERERkWgMHomIiIhINAaPRERERCQag0ciIiIiEo3BIxERERGJxuCRiIiIiERj8EhEREREojF4JCIiIiLRGDwSERERkWgMHomIiIhINAaPRERERCQag0ciIiIiEo3BIxERERGJxuCRiIiIiERj8EhEREREojF4JCIiIiLRGDwSERERkWgMHomIiIhINAaPRERERCQag0ciIiIiEo3BIxEREZEGPHr0CNOnT0enTp3g5OSE9u3bi9pPEASsWbMGPj4+cHFxQY8ePXD16lWlfPHx8Rg5ciQaNGgAd3d3TJ06Fenp6Wo+C2UMHomIiIg04O7duzh+/DiqV6+OmjVrit5v7dq1WL58Ob766iusXr0alpaWGDBgAJ48eSLPk5OTg4EDB+Lhw4dYvHgxZsyYgZMnT2L8+PGaOBUFZTR+BCIiIqL/IF9fX/j5+QEAJk2ahBs3bhS5T1ZWFlavXo0BAwbgq6++AgC4urqibdu2WL9+PWbMmAEAOHDgAO7evYuIiAjY2dkBAKRSKYKCgnD9+nW4uLho5JwAtjwSERERaYSOjuph1uXLl5Geng5/f395mr6+Plq1aoUTJ07I006cOAEHBwd54AgAnp6eMDc3x/Hjx0tW8SIweCQiIiL6SERHRwOAQlAIADVr1kRcXBwyMzPl+d7PI5FIUKNGDXkZmsJuayIiIqICtGzZstDthw8fVuvxUlNToa+vDwMDA4V0qVQKQRCQkpICQ0NDpKamwtTUVGl/MzMzpKSkqLVO72PwSERERFonXM9BPQV5VVVPOVqEwSMRERFRAdTdslgUqVSK7OxsZGVlKbQ+pqamQiKRwMzMTJ4vv2V5UlJSULlyZY3WkWMeiYiIiD4SeeMYHzx4oJAeHR0Na2trGBoayvO9P7ZREAQ8ePBAaSykujF4JCIiIq0j0ZOo5fGhNWzYECYmJti/f788LScnBwcPHoSXl5c8zcvLC//88w8ePnwoTztz5gySk5Ph7e2t0Tqy25qIiIi0jk6ZDx/4vS8jI0O+bE5sbCzS09MRGRkJAHB3d4eFhQUCAwMRFxeHqKgoAICBgQGGDBmC4OBgWFhYwN7eHtu3b0dycjKCgoLkZbdp0warV6/GyJEjMW7cOGRkZGDhwoXyu9JoEoNHIiIiIg148eIFRo8erZCW93zz5s1o3LgxZDIZcnNzFfIMGjQIgiBgw4YNSEpKgqOjI9avX49q1arJ8+jp6WHdunWYM2cOxo0bhzJlyqBVq1aYMmWKxs9LIgiCoPGjlJDaZkwR0UdnQfv1pV0FItKQE3ualdqxD5Svo5Zy2ry4qZZytAlbHomIiEjrfAzd1tqKwSMRERFpndKY7PJfwdnWRERERCQaWx6JiIhI67DbWnMYPBIREZHWYbe15rDbmoiIiIhEY8sjERERaR12W2sOg0ciIiLSOhJdBo+awm5rIiIiIhKNLY9ERESkdXTY8qgxDB6JiIhI60h0GDxqCrutiYiIiEg0tjwSERGR1pHosn1MUxg8EhERkdbhmEfNYfBIREREWodjHjWHbbpEREREJFqJWh7//vtvrFq1CpcvX0ZycjLMzc3h6uqKoUOHwtHRUV11JCIiIlIJu601p9jB48WLF9G/f39YWlqiXbt2KF++PF68eIGoqCj06NEDGzZsQKNGjdRZVyIiIiJReIcZzSl28Lho0SK4u7tj9erVKFPm32K+/fZbDB48GIsXL8b27dvVUkkiIiIi+jgUe8zjrVu30K9fP4XAEQB0dXXRr18//P333yWuHBEREVFxSHR01PIgZcVueSxbtixevHiR77bExESULVu22JUiIiIiKgnOttacYofULVq0wKJFi3D69GmF9NOnT2PJkiXw9fUtceWIiIiI6ONS7JbHSZMm4d69ewgKCoKJiQksLCyQlJSE9PR01K1bFxMnTlRnPYmIiIhE42xrzSl28GhmZoadO3fi6NGjuHTpElJTU2FmZgZXV1f4+PhAh+MEiIiIqJSw21pzSrTOo46ODlq2bImWLVuqqz5ERERE9BFTKXiMi4tTqXBra2uV8hMRERGpA2dKa45KwaOvry8kEvHNwLdu3VK5QkREREQlxW5rzVEpeAwJCZH//fr1ayxevBg2NjZo3bo1ypcvj8TERBw8eBBPnjzBhAkT1F5ZIiIiIjE4YUZzVAoe/fz85H9PmzYNTZs2xbx58xTy9OvXD5MnT8bp06fRoUMH9dSSiIiIiD4KxR4QEBkZifbt2+e7rV27djh06FCxK0VERERUEhIdiVoepKzYwaOurm6BtyD8+++/uVQPERERlRrenlBzir1UT8eOHbF8+XJkZWXBz89Pvkh4VFQU1qxZg549e6qznkRERET0ESh28Dhx4kSUKVMG69atw4oVK+TpBgYG6N27N8aPH6+WChIRERGpil3OmlPs4LFMmTKYOHEihg4dijt37uD58+ewtLSEvb09zMzM1FlHIiIiIpUweNScEt1hBnh7m0I3Nzd11IWIiIhIa9y/fx9z5szBlStXYGxsjE6dOmHMmDHQ19cvcJ9z586hX79++W6rUaMGIiMjC80XEBCApUuXqucECqBS8Hjw4EE0adIEUqkUBw8eLDJ/69ati10xIiIiouIq7ZbHlJQUBAYGwtbWFsHBwYiPj8f8+fORmZmJ6dOnF7hfnTp1sHPnToW09PR0DBo0CF5eXkr5582bBzs7O/nzcuXKqe8kCqBS8Dhq1Cjs2rULLi4uGDVqVKF5JRIJ7zBDREREpaK0Z0rv2LEDr169QkhICMzNzQEAubm5mDlzJoYMGYKKFSvmu5+JiQnq16+vkPb7779DJpPlu0Ri7dq1UbduXXVXv1AqBY+HDx+GpaWl/G8iIiIiUnbixAl4eHjIA0cA8Pf3x/fff49Tp06hS5cuossKCwuDra0tXFxcNFBT1akUPFapUkX+t0QigaWlJfT09JTyvXnzBgkJCSWvHREREVExqOv2hC1btix0e0GNadHR0ejatatCmlQqhaWlJaKjo0UfPzExEWfPnsXXX3+d7/bBgwcjOTkZlpaWaNeuHUaPHg1DQ0PR5RdHsSfMtGzZEjt37sw3Cv7nn3/QvXt3dlsTERFRqSjtMY+pqamQSqVK6WZmZkhJSRFdTkREBHJzc5W6rE1NTTFw4EC4ubnBwMAAZ8+exYYNGxAdHY3Vq1eXuP6FKXbwKAhCgduys7MLnUlEREREpEnqGvNY2sP0QkNDUadOHdSoUUMh3cnJCU5OTvLnHh4esLKywqxZs3D9+nWNdnGrFDzev38f9+/flz8/d+4cnj17ppAnKysL4eHhqFatmnpqSERERPSJkUqlSEtLU0pPSUkRvR7248ePcf36dUyePFlUfn9/f8yaNQs3btz4eILH/fv3IyQkBMDbMY+LFy/ON59UKsW8efNKXjsiIiKiYijtbms7OzulsY1paWl4/vy5wtI6hQkNDYWOjg4CAgI0UcViUyl4DAwMxOeffw5BEODn54eQkBA4Ojoq5NHT04OlpSUkEq7sTkRERKWjtINHLy8vrFq1SmHsY2RkJHR0dODp6SmqjPDwcLi7u8PKykp0fgAaX7pHpeDR1NQUpqamAP5dtodjG4mIiIgU9ezZE1u2bMHw4cMxZMgQxMfHY+HChejZs6fCGo+BgYGIi4tDVFSUwv5///037t+/j/79++db/oQJE1C9enU4OTnJJ8xs3LgRfn5+H1fwmJycDKlUCh0dHRgbG+P169d4/fp1gfnfXduIiIiI6EMp7UXCzczMsGnTJsyePRvDhw+HsbExunXrhrFjxyrkk8lkyM3NVdo/NDQU+vr6aNOmTb7l165dG6GhodiwYQNycnJQpUoVDB06FIMHD9bI+bxLIhQ2bfo9jo6O8uV5PvvssyK7ptW1VE+4noNayiGij8+C9utLuwpEpCEn9jQrtWM/Gda16EwiVPt5t1rK0SYqtTzOnTtXPot67ty5HNdIRERE9B+jUvD4+eefy/9W5bY6RERERB9SaXdba7NiLxJORERE9NFi76jGFDt4zMnJwf/+9z9ERkbi6dOnyMrKUspz+fLlElWOiIiIiD4uxQ4eZ86cib1798LX1xfNmzeHnp6eOutFREREVGylvc6jNit28BgVFYXJkyejd+/e6qwPERERUYlxzKPmFDt4NDIy4v2riYiI6KPElkfNKXbw2L9/f2zbtg2enp7Q1dVVZ53oP0bX2Ah244Ng7l4P5m51oW9hjmtBkxCzeU9pV42ICmBipIuhgTXg1bg8DAx0cOtuGn7e+AB3ol+J2r+Lf2V8HlAZlSsaIiU1B0dOJWL9tkfIzJIp5CtfTg/9e1aHWz1zWJjrIfFlNk6eT8KW354gNe2NJk6NiIpQ7OCxX79+SEhIQKtWrdCoUSP5fRvfNW3atBJVjv4b9CuUg/13I/D6USzSrt9GeZ/GpV0lIiqERAIsmFYHNW2NsWNvDFLS3qBz20pYNrsuBk24ipinmYXuP7SvLb7sUhVHTyfi17A42FY1QteAyqhRzQgTZt2U5ytrqIOf59dDWQNd7Il8ioTELNSyNUYX/8po4GyGQROuQvxtLui/ht3WmlPs4DEsLAwbNmyARCLBmTNnlCbMSCQSBo8kStbTBByq6oms+ESYuTqj2Vmu5k/0MfPxqIC6jlJ8t/AWjp95AQA4cuo5tq1ohP49bTB76Z0C9y1fTg9fdLRG5NEEzF3+b76YuAyMGVwTTRtZ4PTFJACAp1t5VLYyxLdzbuLspZfyvKnpb9C/hw1q2Rrj7gNxLZ3038Nua80pdvC4ePFitGnTBrNnz4aJiYk660T/MbLsHGTFJ5Z2NYhIJO+m5fHiZTZOnH0hT0tJfYOjp56jlbcV9MpIkPMm/ybBOg5SlCmjgyMnnyukHz75HGMG10TLZhXkwaOR0dshUS+TcxTyvniZDQDIylbs4iaiD6PYbbrJycn44osvGDgSEf3H2Ncwwd3odKUu41t301HWUBfVrMsWuK9embetQe8HfnljHe1r/vubcu1mCnJzBYwKsoOTvSksy+ujScNy6NetGk6cfYHHsRlqOiPSRhIdiVoepKzYwaO3tzeuXLmizroQEdEnwKKcvrz17115aeUt9Avc90nc24Cv7meK4+RdnN4+tyz/776PYjKwaOU92FYzwqoF9bB7nTsWflcHl64n4/sfb5X4PEjL6eio50FKit1t3a1bN8ycOROZmZnw8PDId8JMnTp1SlQ5IiL6+Bjo6yA7R7lbOjtHJt9ekDvRr3Dzdiq+7FIFz5OycOWvFFSvZoRxQ2oiJ0cGfX3F1TueJ2Xh1t00nL38Es8SMlHPyQxd21VGSmoOft70UK3nRUTiFDt4HDhwIABgzZo1WLNmDSTv3ENSEARIJBLcusX/DImIPlVlykggNVH8mUhOzUFWtgz6esrdefp6b4PGosYifrfwH8yY4IDJI+0BAG9yBezaF4v6dcxQrcq/Xd7On5li/tQ6+HriNdy+nw4AOHk+Ca9ev8FXPWwQfjgej2LYdU35k/De1hpT7OBx8+bN6qwHERF9ZJwdpFg+p65C2heDLyDpZTbKl1Pums5Le5Gk3KX9rsSkbIyY8heqVjaEhbk+Yp5mICk5B7+vd0NM3L/BYMfWlfEyOVseOOY5dSEJA3pVh/NnUgaPVCAu1aM5xQ4e3d3d1VkPIiL6yNx7mI6x3/+lkJaUnI27D1/BxVEKiQQKk2Yc7U2RkZkrH9dYlJinmfI1IatXLYsKFgbYfyRBvt3CXA86+UxYKPP/k250ddmyRFQaih085rl//z7++usvPHv2DF27doWlpSUePXqE8uXLcyY2EdEnLP1VLi5dT1FKP346ES2aVoBXk/LydR7NTMugRdMKOH0hSWGZHutKhgCAuGcFLxwukQBfB9ZARmYu/jjwTJ7+JC4D7g3KoX4dM1y9+W89WjazBADcjU5XKosoD2dKa06xg8eMjAxMmzYNERER0NHRgUwmQ/PmzWFpaYnFixejatWq+Pbbb9VZV9Ji1Yf1hp6ZFIbWVgAAq3YtYFilEgDg4YoteJPKHwmij8WxM4m4cTsVk0fWhm01I6Sk5qCzf2Xo6AAbdjxWyLt0pjMAoMeQi/K0UUF20NeT4O6DVyhTRgK/5pZwrG2KucvvICExS57v94in8PetiPlTHbE7/Cnin2ehXh0pWnlZ4cLVl7h1l98LVAh2W2tMsYPHBQsW4OzZs1i7di0aNWqE+vXry7d5e3tj48aNDB5JNLuxA2BkW1X+vHKXNqjcpQ0AIHbbPgaPRB8RmQz4dvZNDAusga7trGGgr4N/7qVj3vK7orqs70Sno3sHa/h5WUEQBNy6m46x39/AlRuKrZxP4jIwaMJVDOxdHa29LWFhro/El9nYvjcGG7Y/LqB0orfY8qg5xQ4eDxw4gG+//RbNmjVDbm6uwrYqVaogNja2xJWj/46jtVuWdhWISAXpr3Kx8Od7WPjzvULzvdvimCfyaAIijybkk1vZk7gMfP/jP8WqIxFpRrGDx9evX8PS0jLfbRkZnP1GREREpUciYbe1phT7lXVwcMDBgwfz3Xbs2DE4OzsXu1JEREREJaIjUc+DlBS75XHYsGEYNmwYMjIy0LZtW0gkEly/fh1hYWHYvXs31q5dq856EhEREdFHoNjBo4+PD5YsWYKFCxciNDQUADBz5kxUqlQJixYtgoeHh9oqSURERKQKLhKuOSVa57Ft27Zo27YtHjx4gJcvX8LMzAw1a9ZUV92IiIiIioWzrTVHLWF5jRo10LBhwwIDx9zcXDg6OuLmzZvqOBwRERERlZIS32FGLOHde1gRERERaRJnW2vMBwseiYiIiD4UdltrDsNyIiIiIhKNLY9ERESkfTjbWmMYPBIREZHWkUjYba0pDB6JiIhI+7DlUWM+SPAokUhgbW0NfX39D3E4IiIiolJ3//59zJkzB1euXIGxsTE6deqEMWPGFBkP+fr6IjY2Vin9+vXrMDAwkD+Pj4/HnDlzcPLkSejp6aFVq1aYPHkyTExM1H4u7/ogwaOOjg6OHDnyIQ5FREREVOqzrVNSUhAYGAhbW1sEBwcjPj4e8+fPR2ZmJqZPn17k/m3atMGAAQMU0t4NOnNycjBw4EAAwOLFi5GZmYkFCxZg/PjxWL16tXpP5j0qB4/R0dHYtm0bEhISUKtWLfTo0QMVK1ZUyHP//n3MnDkTmzdvVltFiYiIiEQr5XUed+zYgVevXiEkJATm5uYA3t40ZebMmRgyZIhS7PS+ChUqoH79+gVuP3DgAO7evYuIiAjY2dkBAKRSKYKCgnD9+nW4uLio61SUqPTK3rlzB127dkVoaCiePXuG//3vf/D398cff/yhkC89PR0XLlxQa0WJiIiIPhUnTpyAh4eHPHAEAH9/f8hkMpw6dUot5Ts4OMgDRwDw9PSEubk5jh8/XuLyC6NS8LhkyRLUqVMHR48exa5du3DixAm0a9cOkyZNQkhIiKbqSERERKQaHYl6HsUUHR2tENgBb1sGLS0tER0dXeT+oaGhcHZ2RoMGDTBo0CDcvn27yPIlEglq1KghqvySUKnb+q+//sKcOXNgZGQEADA1NcXs2bNRv359fP/990hISMCMGTM0UU8iIiIi0SRq6rZu2bJlodsPHz6cb3pqaiqkUqlSupmZGVJSUgot09fXFy4uLrC2tsaTJ0+watUqfPnll9i7dy+qVasmL9/U1LRY5ZeUSsFjdna2wiyfPF27dkWFChUwZswYJCYmIjAwUG0VJCIiIvovmTZtmvzvRo0awdPTE/7+/li/fv1H0UinUvBoa2uLixcvomnTpkrbvL298b///Q9DhgzB33//rbYKEhEREalMTbOtC2pZLIpUKkVaWppSekpKCszMzFQqy8rKCq6urrh586ZC+enp6fmWX7lyZdUrrAKV2nS9vLzw66+/IisrK9/t9evXxy+//AJBENRSOSIiIqLikOjoqOVRXHZ2dkpjD9PS0vD8+XOlsYrqKl8QBDx48EAt5RdGpVelf//+2LBhQ6HBYa1atbBnzx5s2rSpxJUjIiIi+hR5eXnh9OnTSE1NladFRkZCR0cHnp6eKpUVHx+PS5cuoW7dugrl//PPP3j48KE87cyZM0hOToa3t3eJ618YlbqtTUxMULt27SLzWVhYwN3dvdiVIiIiIiqRUr63dc+ePbFlyxYMHz4cQ4YMQXx8PBYuXIiePXsqrPEYGBiIuLg4REVFAQDCwsJw9OhReHt7w8rKCk+ePMGaNWugq6uL/v37y/dr06YNVq9ejZEjR2LcuHHIyMjAwoUL4ePjo9E1HoFi3mEmOzsbkZGRuHjxIp49ewYAqFSpEtzc3NCmTRvehpCIiIhKVynf29rMzAybNm3C7NmzMXz4cBgbG6Nbt24YO3asQj6ZTIbc3Fz586pVqyIhIQFz585FWloaTE1N0aRJE4waNUo+0xoA9PT0sG7dOsyZMwfjxo1DmTJl0KpVK0yZMkXj5yYRVBygePHiRUyYMAHx8fEQBEE+DT2vWdba2ho//vgjXF1d1VbJcD0HtZVFRB+XBe3Xl3YViEhDTuxpVmrHfr1pllrKMQos+laC/zUqheX379/HoEGDYGxsjIULF+LixYs4f/48zp8/j0uXLmHRokUwMjLCoEGDNL5AJRERERF9eCoFjz///DNsbW2xe/dudOjQASYmJvJtxsbGaN++PX799VfY2tpixYoVaq8sERERkRilPdtam6n0qpw9exZBQUEwNDQsME/ZsmUxYMAAnD17tsSVIyIiIioWiY56HqREpVclNTUVlSpVKjJfpUqVFKamExEREZF2UCl4rFSpEm7dulVkvr///ltUkElERESkEToS9TxIiUrBo5+fH1auXKmwIOX7Hj16hDVr1qB169YlrRsRERFRsUgkOmp5kDKV1nn8+uuvceTIEXTq1AmdO3dGixYt5PdPfPr0KY4dO4a9e/eiUqVKGDp0qEYqTERERESlR6XgUSqV4pdffsGMGTOwa9cu7Nq1SymPn58fvv/+e5iamqqtkkREREQqYZezxqh8h5kKFSogJCQEcXFxuHDhAuLj4wEAFStWhJubG6ytrdVeSSIiIiKVsMtZY1QKHh8+fIhx48Zh9OjR8Pb2RqdOnZTyHD9+HMuWLcOyZcsUbqNDRERERJ8+lcLyDRs2wMjICN7e3gXm8fb2hrGxMdav5y3HiIiIqJRIJOp5kBKVgsdTp06ha9euRebr2rUrTp48WexKEREREZWIjo56HqREpW7r+Ph4UV3RVatWlY+FJCIiIvrgOOZRY1R6ZY2NjfHy5csi8yUnJ8PIyKjYlSIiIiKij5NKwaOzszMiIiKKzBceHg5nZ+diV4qIiIioRHiHGY1RKXj88ssvsX//foSEhCA3N1dpu0wmQ0hICCIjI9G7d2+1VZKIiIhIJRId9TxIiUpjHlu2bImBAwciJCQEO3bsgIeHh3xdx6dPn+LMmTNITExEUFAQfH19NVJhIiIiIio9Ki8SPmHCBLi5uWHDhg04cOAAsrOzAQAGBgZo2LAh5syZU+hSPkREREQax2V2NEbl4BF4u5ajt7c3cnNzkZycDAAwNzeHrq6uOutGREREVDxcZkdjihU85tHV1UX58uXVVRciIiIi+siVKHgkIiIi+iix21pjGDwSERGR9uFMaY3hK0tEREREorHlkYiIiLQPJ8xoDINHIiIi0j4c86gxDB6JiIhI+3DMo8bwlSUiIiIi0djySERERNqH3dYaw+CRiIiItA8nzGgMX1kiIiIiEo0tj0RERKR1BHZbawyDRyIiItI+nG2tMXxliYiIiEg0tjwSERGR9mHLo8YweCQiIiKt8zGMebx//z7mzJmDK1euwNjYGJ06dcKYMWOgr69f4D4JCQnYuHEjTp06hcePH8PU1BRubm4YN24cqlSpIs937tw59OvXT2n/gIAALF26VCPnk4fBIxEREZGapaSkIDAwELa2tggODkZ8fDzmz5+PzMxMTJ8+vcD9bt68iaioKHTt2hX16tXDy5cvsXLlSnTv3h1hYWGwsLBQyD9v3jzY2dnJn5crV05j55SHwSMRERFpn1Lutt6xYwdevXqFkJAQmJubAwByc3Mxc+ZMDBkyBBUrVsx3P1dXV+zfvx9lyvwbojVs2BA+Pj7Yu3cvBgwYoJC/du3aqFu3rsbOIz8cEEBERETaRyJRz6OYTpw4AQ8PD3ngCAD+/v6QyWQ4depUgftJpVKFwBEAKlWqBAsLCyQkJBS7PurE4JGIiIi0j46Oeh7FFB0drdCdDLwNDC0tLREdHa1SWQ8ePMCLFy9Qs2ZNpW2DBw+Go6MjvLy8sGDBAmRmZha7zmKx25qIiIioAC1btix0++HDh/NNT01NhVQqVUo3MzNDSkqK6OMLgoA5c+bAysoK7dq1k6ebmppi4MCBcHNzg4GBAc6ePYsNGzYgOjoaq1evFl1+cTB4JCIiIq3zMcy2Vofg4GCcPXsW69atg5GRkTzdyckJTk5O8uceHh6wsrLCrFmzcP36dbi4uGisTgweiYiISPuoacJMQS2LRZFKpUhLS1NKT0lJgZmZmagydu3ahRUrVuCHH36Ah4dHkfn9/f0xa9Ys3LhxQ6PBI8c8EhEREamZnZ2d0tjGtLQ0PH/+XGksZH6ioqIwY8YMjBo1Ct26ddNUNYuFwSMRERFpHUGio5ZHcXl5eeH06dNITU2Vp0VGRkJHRweenp6F7nvu3DmMGzcO3bt3x/Dhw0UfMzw8HAA0vnQPu62JiIhI+5TymMeePXtiy5YtGD58OIYMGYL4+HgsXLgQPXv2VFjjMTAwEHFxcYiKigLw9q40w4cPh62tLTp16oSrV6/K81pYWMDGxgYAMGHCBFSvXh1OTk7yCTMbN26En58fg0ciIiKiT42ZmRk2bdqE2bNnY/jw4TA2Nka3bt0wduxYhXwymQy5ubny59euXUNaWhrS0tLQq1cvhbyff/455s+fD+Dt4uChoaHYsGEDcnJyUKVKFQwdOhSDBw/W+LlJBEEQNH6UEgrXcyjtKhCRhixov760q0BEGnJiT7NSO3ba+XC1lGPq3q7oTP8xbHkkIiIi7aMlS/V8jDhhhoiIiIhEY8sjERERaR81rfNIyhg8EhERkdbRljvMfIwYPBIREZH2YcujxvCVJSIiIiLR2PJIREREWkcAu601hcEjERERaZ2S3FqQCsdXloiIiIhEY8sjERERaR+2PGoMg0ciIiLSOlyqR3MYlhMRERGRaGx5JCIiIq3DCTOaw+CRiIiItA+7rTWGYTkRERERicaWRyIiItI67LbWHAaPREREpHV4hxnNYfBIREREWoctj5rDV5aIiIiIRGPLIxEREWkfzrbWGAaPREREpHUEdq5qDF9ZIiIiIhKNLY9ERESkdXhva81h8EhERERah7OtNYevLBERERGJxpZHIiIi0jpcJFxzGDwSERGR1mG3teYweCQiIiKtwwkzmsOwnIiIiIhEY8sjERERaR2OedQcBo9ERESkdTjmUXP4yhIRERGRaGx5JCIiIq3DbmvNYfBIREREWofd1prDV5aIiIhIA+7fv4/+/fujfv368PT0xMKFC5GdnV3kfoIgYM2aNfDx8YGLiwt69OiBq1evKuWLj4/HyJEj0aBBA7i7u2Pq1KlIT0/XwJkoYvBIREREWkeARC2P4kpJSUFgYCBycnIQHByMsWPHYteuXZg/f36R+65duxbLly/HV199hdWrV8PS0hIDBgzAkydP5HlycnIwcOBAPHz4EIsXL8aMGTNw8uRJjB8/vth1Fovd1kRERKR1SrvbeseOHXj16hVCQkJgbm4OAMjNzcXMmTMxZMgQVKxYMd/9srKysHr1agwYMABfffUVAMDV1RVt27bF+vXrMWPGDADAgQMHcPfuXURERMDOzg4AIJVKERQUhOvXr8PFxUVj58aWRyIiIiI1O3HiBDw8POSBIwD4+/tDJpPh1KlTBe53+fJlpKenw9/fX56mr6+PVq1a4cSJEwrlOzg4yANHAPD09IS5uTmOHz+u3pN5zyfR8rig/frSrgIRacjEsKDSrgIRacztUjuyumZbt2zZstDthw8fzjc9OjoaXbt2VUiTSqWwtLREdHR0geXlbXs3KASAmjVrYtOmTcjMzIShoSGio6OV8kgkEtSoUaPQ8tXhkwgeiYiIiFRR2ve2Tk1NhVQqVUo3MzNDSkpKofvp6+vDwMBAIV0qlUIQBKSkpMDQ0BCpqakwNTVVuXx1YPBIREREWkcQ1BM8FtSy+F/GMY9EREREaiaVSpGWlqaUnpKSAjMzs0L3y87ORlZWlkJ6amoqJBKJfF+pVJrvsjxFla8ODB6JiIhI6wjQUcujuOzs7JTGHqalpeH58+dKYxXf3w8AHjx4oJAeHR0Na2trGBoaFli+IAh48OBBoeWrA4NHIiIi0jqlvc6jl5cXTp8+jdTUVHlaZGQkdHR04OnpWeB+DRs2hImJCfbv3y9Py8nJwcGDB+Hl5aVQ/j///IOHDx/K086cOYPk5GR4e3sXu95iMHgkIiIiUrOePXvC2NgYw4cPx8mTJ7F7924sXLgQPXv2VFjjMTAwEK1atZI/NzAwwJAhQ7BhwwZs2rQJZ86cwfjx45GcnIygoH9Xp2jTpg1q166NkSNH4ujRo4iIiMCUKVPkd6XRJE6YISIiIq2jrqV6isvMzAybNm3C7NmzMXz4cBgbG6Nbt24YO3asQj6ZTIbc3FyFtEGDBkEQBGzYsAFJSUlwdHTE+vXrUa1aNXkePT09rFu3DnPmzMG4ceNQpkwZtGrVClOmTNH4uUkEQRA0fpQS8vr8ZGlXgYg0hOs8Emmvdjmlt87jP/dj1FLOZzWrqqUcbcJuayIiIiISjd3WREREpHVKu9tamzF4JCIiIq2jrkXCSRm7rYmIiIhINLY8EhERkdZht7XmMHgkIiIircPgUXMYPBIREZHWYfCoORzzSERERESiseWRiIiItA5nW2sOg0ciIiLSOjJ2W2sMu62JiIiISDS2PBIREZHW4YQZzWHwSERERFqHYx41h93WRERERCQaWx6JiIhI67DbWnMYPBIREZHWYbe15rDbmoiIiIhEY8sjERERaR12W2sOg0ciIiLSOuy21hwGj0RERKR1ZKVdAS3GMY9EREREJBpbHomIiEjrsNtacxg8EhERkdbhhBnNYbc1EREREYnGlkciIiLSOuy21hwGj0RERKR12G2tOey2JiIiIiLR2PJIREREWkcmlHYNtBeDRyIiItI67LbWHHZbExEREZFobHkkIiIircPZ1prD4JGIiIi0jsAxjxrD4JGIiIi0joxjHjWGYx6JiIiIPhJHjhxBx44dUbduXbRp0wa7d+8ucp/r169j8uTJaNWqFerVq4fWrVtj8eLFeP36tUK+4OBgODg4KD22b9+uUh3Z8khERERa51Mc83jx4kWMGDEC3bp1w5QpU3D27FlMnToVxsbGaNu2bYH77d+/H48ePcLAgQNha2uLe/fuYfny5bh27Ro2b96skNfQ0BCbNm1SSKtWrZpK9WTwSERERFrnUxzzuHLlSri4uGDWrFkAgCZNmuDJkydYvnx5ocHjoEGDYGFhIX/euHFjSKVSTJgwATdu3ICzs7N8m46ODurXr1+ierLbmoiIiKiUZWdn49y5c0pBYkBAAO7fv4+YmJgC9303cMzj5OQEAEhISFBvRcHgkYiIiLSQAIlaHh/K48ePkZOTAzs7O4X0mjVrAgCio6NVKu/SpUsAoFReZmYmmjRpAicnJwQEBGDXrl0q15Xd1kRERKR11HV7wpYtWxa6/fDhw2o5TkpKCgBAKpUqpOc9z9suRlJSEoKDg9GyZUvY2trK021sbDBhwgQ4OTkhKysLoaGh+O6775CWloagoCDR5TN4JCIiItKAtLQ0Ud3Gqk5YKUxOTg7GjRsHAJgxY4bCtk6dOik89/HxQU5ODlauXIl+/fpBT09P1DEYPBIREZHWUdds65K0LEZGRmLatGlF5ouIiICZmRmAtwHnu1JTUwFAvr0wgiBgypQpuH79OrZt2wYrK6si9/H398eBAwfw+PFjeRd5URg8EhERkdb5GGZbd+/eHd27dxeVNzs7G3p6eoiOjkbz5s3l6XljHd8fu5ifBQsWYP/+/Vi7di0+++yz4lVaBE6YISIiIipl+vr6aNy4MQ4cOKCQHhERgZo1a6Jq1aqF7r9mzRps3LgR8+fPh4eHh+jjRkREQCqVwsbGRvQ+bHkkIiIirfMp3p7w66+/Rr9+/TBjxgz4+/vj3LlzCAsLw9KlSxXyOTk5oXPnzpg7dy4AIDQ0FIsXL0bHjh1RtWpVXL16VZ7XxsZGvpRPly5d0LlzZ9jZ2SEzMxOhoaE4ePAgpkyZInq8I8DgkYiIiLTQx9BtrapGjRohODgYP/30E3777TdYW1tjzpw58Pf3V8iXm5sLmUwmf37q1CkAwL59+7Bv3z6FvPPmzUOXLl0AvA0kN27ciMTEREgkEtjb2+PHH39Ex44dVaqnRBA+/pfX6/OTpV0FItKQiWHil4cgok9Lu5zbpXbsfRdz1VJOx0a6ailHm3DMIxERERGJxm5rIiIi0jrqWiSclDF4JCIiIq3z8Q/K+3Sx25qIiIiIRGPLIxEREWkd4RNcqudTweCRiIiItA7HPGoOu62JiIiISDS2PBIREZHW4YQZzWHwSERERFqHwaPmsNuaiIiIiERjyyMRERFpHZnA2daawuCRiIiItA67rTWHwSMRERFpHQaPmsMxj0REREQkGlseiYiISOtwkXDNYfBIREREWkfghBmNYbc1EREREYnGlkciIiLSOpwwozkMHomIiEjrcMyj5rDbmoiIiIhEY8sjERERaR12W2sOg0ciIiLSOgweNYfd1kREREQkGlseiYiISOtwwozmMHgkIiIircNua81h8EhERERaRyYr7RpoL455JCIiIiLR2PJIREREWofd1prDlkciIiIiEo3BIxERERGJxm5rIiIi0jrsttYcjbQ8CoKAU6dOYdKkSZoonoiIiKhQMkE9D1Km1pbH69evIzQ0FPv370diYiLKly+vzuKJiIiIqJSVOHh8+PAhQkNDERYWhsePHwMAPD098eWXX8LLy6vEFSQiIiJSlaC2fmuJmsrRHsUKHp8/f47w8HCEhobi77//hkQigZubG3r16oUFCxZgyJAhcHNzU3ddiYiIiET5VMc8HjlyBD/99BMePHgAa2trDB48GF27di10n5iYGLRs2VIpvV69eti1a5dC2uXLl7FgwQLcunUL5cuXR69evTBo0CBIJOKDZJWDx/79++P8+fOQyWRwcnLCxIkTERAQACsrK6SlpWH+/PmqFklERET0n3fx4kWMGDEC3bp1w5QpU3D27FlMnToVxsbGaNu2bZH7jxs3Do0bN5Y/NzY2Vtj+6NEjBAUFwdPTE2PGjMHt27exaNEi6OrqIigoSHQ9VQ4ez5w5A+Bt1/SIESPQoEEDVYsgIiIi0qhP8faEK1euhIuLC2bNmgUAaNKkCZ48eYLly5eLCh6rV6+O+vXrF7h9/fr1KFeuHJYsWQJ9fX14eHggKSkJq1atQt++faGvry+qnirPtg4ODkbr1q1x8eJFfPnll/Dz88PSpUtx7949VYsiIiIi0ghBUM/jQ8nOzsa5c+eUgsSAgADcv38fMTExJT7GiRMn0LJlS4UgMSAgAKmpqbhy5YroclQOHlu1aoXly5fj1KlT+OGHH1CtWjWsW7cOHTp0QI8ePSCRSJCWlqZqsURERERq86kt1fP48WPk5OTAzs5OIb1mzZoAgOjo6CLLmDFjBhwdHeHh4YFp06YhOTlZvu3169d4+vSpUvl2dnaQSCSiys9T7NnWJiYm6NKlC7p06YLExESEh4cjLCwMgiBgxIgRcHV1xeeff44uXboU9xBEREREpSq/iSjvOnz4sFqOk5KSAgCQSqUK6XnP87bnR19fH7169UKzZs0glUpx7do1rFq1Cjdu3MCvv/4KPT09ecPe++Xr6+ujbNmyhZb/PrWs81ihQgUEBgYiMDAQjx8/xr59+xAWFoapU6cyeCQiIqIP7mOYbZ2WloaEhIQi81WrVq1Ex7GyssKMGTPkz93d3VG7dm0MGTIEUVFRCAgIKFH571P77QltbGwwYsQIjBgxAjdv3lR38URERERFEtTU51ySlsXIyEhMmzatyHwREREwMzMDAKWhf6mpqQAg3y6Wt7c3jIyMcPPmTQQEBMDU1DTf8rOzs5GRkaFS+Rq9t3WdOnU0WTwRERHRR6t79+7o3r27qLzZ2dnQ09NDdHQ0mjdvLk/PG4v4/lhFVRkZGaFy5cpKYxsfPHgAQRBUKl/l4LFBgwaiF5KUSCS4dOmSqocgIiIiKpFP7b7U+vr6aNy4MQ4cOIDAwEB5ekREBGrWrImqVauqVN7Ro0fx+vVr1K1bV57m5eWFw4cP45tvvoGenp68fKlUqtLSiyoHjwMGDFAIHnNzc7Fy5Up88cUXsLKyUrU4IiIiIrX7GMY8qurrr79Gv379MGPGDPj7++PcuXMICwvD0qVLFfI5OTmhc+fOmDt3LgBg/vz5kEgkqF+/PqRSKa5fv47Vq1fD2dkZfn5+8v2CgoIQGhqK8ePHo1evXrhz5w7Wr1+PsWPHil7jEShG8Dhy5EiF53nBY48ePdhNTURERFRMjRo1QnBwMH766Sf89ttvsLa2xpw5c+Dv76+QLzc3F7J3VkGvWbMmtm/fjl27diEzMxMVK1ZEt27dMGrUKJQp82+oV716daxfvx7z58/H4MGDYWFhgVGjRmHAgAEq1VOjYx6JiIiISoPsU+u3/n8tW7Yscnmg27dvKzxXZWxlw4YNle53rSoGj0RERKR1PsVu60+FyneYISIiIqL/LrW1PIqdgU1ERESkaWx51By1LdXTu3dvpXQu1UNERESlQcboUWNKvFQPERER0cdGkBWdh4qnxEv1EBXExEgXQwNrwKtxeRgY6ODW3TT8vPEB7kS/ErV/F//K+DygMipXNERKag6OnErE+m2PkJml+I1Qvpwe+vesDrd65rAw10Piy2ycPJ+ELb89QWraG02cGhGJpGtsBLvxQTB3rwdzt7rQtzDHtaBJiNm8p7SrRkTFpJEJM6mpqdi1axf69u2rieLpEyCRAAum1YFfc0v8HhGHVZsfopyZHpbNrouqlQ2L3H9oX1uMGVwT0Y9fY/n6aBw/8wJdAypjzkRHhXxlDXXw8/x68GpcHpHHEvDTumicvfQSXfwrY8kMZ7CRnKh06VcoB/vvRsDkMzukXb9d9A5EaiIIgloepExtE2ays7Nx+PBhhIaG4s8//0ROTg6cnJzUVTx9Ynw8KqCuoxTfLbyF42deAACOnHqObSsaoX9PG8xeeqfAfcuX08MXHa0ReTQBc5f/my8mLgNjBtdE00YWOH0xCQDg6VYela0M8e2cmzh76aU8b2r6G/TvYYNatsa4+0BcSycRqV/W0wQcquqJrPhEmLk6o9nZ3aVdJfqPkLHbWmNKFDwKgoDTp08jNDQUUVFRePXqFSQSCTp37oyvvvoKDg4O6qonfWK8m5bHi5fZOHH2hTwtJfUNjp56jlbeVtArI0HOm/z/o6vjIEWZMjo4cvK5Qvrhk88xZnBNtGxWQR48GhnpAgBeJuco5H3xMhsAkJXNbw+i0iTLzkFWfGJpV4OI1KhYweP169cRGhqK/fv348WLFzAxMUGbNm3g4+ODUaNGoUuXLgwc/+Psa5jgbnS60lIJt+6mo2ObyqhmXRbRj1/nu69embd9ze8HfnljHe1rmsjTrt1MQW6ugFFBdlix8QGev8hCzerG6NetGk6cfYHHsRlqPCsiIvpUsMtZc1QOHtu0aYPHjx/DwMAAXl5e6NChA7y9vaGvr4+0tDRN1JE+QRbl9HHt7xSl9LwWwfIW+gUGj0/i3gZ8dT+T4sqNf8twcZICACzL/3vz9kcxGVi08h6GfVUDqxbUk6fvPxKPhSvulvxEiIjok/SJ3p3wk6By8Pjo0SMAgLOzM1q3bo3mzZtDX1+/iL3ov8ZAXwfZOcpXbnaOTL69IHeiX+Hm7VR82aUKnidl4cpfKahezQjjhtRETo4M+vq6CvmfJ2Xh1t00nL38Es8SMlHPyQxd21VGSmoOft70UK3nRURE9F+ncvC4Z88e7Nu3D/v378eECRNQtmxZtGzZEh06dEDdunU1UUf6iJUpI4HURPFjlJyag6xsGfT1lKc66+u9DRqLGov43cJ/MGOCAyaPtAcAvMkVsGtfLOrXMUO1KmXl+Zw/M8X8qXXw9cRruH0/HQBw8nwSXr1+g6962CD8cDwexbDrmojov0Zg06PGqBw8Ojo6wtHREd9++y3Onz8vnywTHh4OU1NTSCQSPHz4EG5ubpqoL31knB2kWD5H8Z+GLwZfQNLLbJQvp9winZf2Iim70HITk7IxYspfqFrZEBbm+oh5moGk5Bz8vt4NMXH/BoMdW1fGy+RseeCY59SFJAzoVR3On0kZPBIR/QdxyKPmFHu2tUQiQePGjdG4cWN8//33OH78OEJDQ3H8+HFMnz4dq1atQufOnbmouJa79zAdY7//SyEtKTkbdx++goujFBKJ4gXsaG+KjMxc+bjGosQ8zUTM00wAQPWqZVHBwgD7jyTIt1uY60FHR7mFs8z/T7rR1eVCj0REROqklkXC9fT04Ofnh2XLluHUqVOYN28ebG1tsXr1anUUTx+x9Fe5uHQ9ReGRnSPg+OlElC+nD68m5eV5zUzLoEXTCjh9IUlhmR7rSoawrlT4wuESCfB1YA1kZObijwPP5OlP4jJQvpw+6tcxU8jfspklAOButGKLJBER/TfIZIJaHqRMbYuE5zE2Nkbnzp3RuXNnJCUlqbt4+kQcO5OIG7dTMXlkbdhWM0JKag46+1eGjg6wYcdjhbxLZzoDAHoMuShPGxVkB309Ce4+eIUyZSTwa24Jx9qmmLv8DhISs+T5fo94Cn/fipg/1RG7w58i/nkW6tWRopWXFS5cfYlbdxk8EpW26sN6Q89MCkNrKwCAVbsWMKxSCQDwcMUWvEnldUrqx6V6NEfl4HHt2rXo3LkzLC0t5WmXL1+Go6Mjypb9dyLDkydPsGbNGsyePVs9NaVPikwGfDv7JoYF1kDXdtYw0NfBP/fSMW/5XVFd1nei09G9gzX8vKwgCAJu3U3H2O9vKCzdA7xteRw04SoG9q6O1t6WsDDXR+LLbGzfG4MN2x8XUDoRfUh2YwfAyLaq/HnlLm1QuUsbAEDstn0MHkkjBN4jQmMkgoqhuaOjI3bu3AkXFxcAQG5uLpydnfHbb7+hTp068nzXrl1Dz549cevWrRJX0uvzkyUug4g+ThPDgkq7CkSkIe1ySu9+5t+uUs9kyYVDyxad6T9G5ZbH/GJNNg0TERHRx0TG2ERj1D7mkYiIiKi0sWFLc9Qy25qIiIiI/hvU1vIokXA9PSIiIvo4cJkdzSlW8BgYGKgULPbu3Vshjc3FREREVFoYhmiOysHjiBEjNFEPIiIiIvoEMHgkIiIirSOw21pjNDZhJjc3F3v37tVU8UREREQFkgmCWh6krETBY1JSktLYxszMTGzatAmtWrXC5MmTS1Q5IiIiIvq4qBw8ZmVlYcaMGWjQoAE8PT3h5uaGDRs2AAB27doFX19fzJs3D5UrV5anExEREX1IgkxQy4OUqTzmcc2aNdixYwc8PT3h6OiI2NhYLFmyBDdv3kR4eDicnJywePFieHh4aKK+REREREVi4Kc5KgePERER6NevH6ZMmSJP27t3LyZNmgQ/Pz8sX74cOjpce5yIiIhKD2NHzVE5youNjYWvr69Cmp+fH4C3az0ycCQiIiLSXiq3PGZnZ8PIyEghrWzZsgAAqVSqnloRERERlQC7rTWnWHeYOXfuHJ49eyZ/LpPJIJFIcO7cOcTGxirkbd26dclqSERERKSiT/VOd0eOHMFPP/2EBw8ewNraGoMHD0bXrl0L3Sc4OBghISH5buvRowdmzZpVaL4ZM2agV69eoutYrOBx8eLF+aYvXLhQ4blEIsGtW7eKcwgiIiKi/5SLFy9ixIgR6NatG6ZMmYKzZ89i6tSpMDY2Rtu2bQvcr3v37mjevLlC2oULF7Bo0SJ4eXkppBsaGmLTpk0KadWqVVOpnioHj4cPHxadVyaTqVo8ERERUYnJPsFu65UrV8LFxUXeUtikSRM8efIEy5cvLzR4rFSpEipVqqSQtmPHDpiZmSkFjzo6Oqhfv36J6qly8FilSpVCtyclJWH//v0IDQ3FtWvX2PJIREREH9yn1m2dnZ2Nc+fOYcKECQrpAQEBCAsLQ0xMDKpWrSqqrKysLERFRSEgIAD6+vpqr2uxuq3fl5GRgaioKISFheH06dN48+YNnJyceIcZIiIiIhEeP36MnJwc2NnZKaTXrFkTABAdHS06eDx69CjS09PRvn17pW2ZmZlo0qQJUlNTYWtri6+++gpffPGFSnUtdvCYm5uLP//8E6GhoThy5AgyMzNRoUIF5ObmYsmSJQgICChu0UREREQloq7Z1i1btix0uyrD+QqTkpICQHnlmrznedvFCAsLQ8WKFeHm5qaQbmNjgwkTJsDJyQlZWVkIDQ3Fd999h7S0NAQFBYkuX+Xg8dKlSwgLC0NkZCRevnwJc3NzdOzYER06dEDt2rXRuHFjWFpaqlosERERkdp8DEv1pKWlISEhoch8qk5YKUxqaiqOHz+OPn36KK293alTJ4XnPj4+yMnJwcqVK9GvXz/o6emJOobKwWPv3r0hkUjQuHFj9O/fH56enihT5m0xaWlpqhZHRERE9NEqSctiZGQkpk2bVmS+iIgImJmZAVCOpVJTUwFAvr0oBw4cQHZ2Njp06CAqv7+/Pw4cOIDHjx/Lu8iLonLwaG9vjzt37uDChQvQ1dXFy5cv4efnBxMTE1WLIiIiItII2UcwYaZ79+7o3r27qLzZ2dnQ09NDdHS0wrI70dHRAKA0FrIgYWFhsLOzg5OTk+oVFknl4HHfvn24d+8e9u3bh/DwcEyaNAmGhobw9vZGixYtIJFINFFPIiIiItE+hm5rVejr66Nx48Y4cOAAAgMD5ekRERGoWbOmqMkyCQkJOH/+PEaMGCH6uBEREZBKpbCxsRG9T7EmzNSqVQvjxo3DuHHj5GMgDxw4gAMHDkAikWDz5s0AoDRQk4iIiOhD+NSW6gGAr7/+Gv369cOMGTPg7++Pc+fOISwsDEuXLlXI5+TkhM6dO2Pu3LkK6REREZDJZAV2WXfp0gWdO3eGnZ0dMjMzERoaioMHD2LKlCmixzsCaliqx9XVFa6urpg2bRpOnjyJsLAwHD58GIcOHYK1tbXaZiERERERabNGjRohODgYP/30E3777TdYW1tjzpw58Pf3V8iXm5ub741YQkND4eLiUmAroo2NDTZu3IjExERIJBLY29vjxx9/RMeOHVWqp0TQQGiemZmJQ4cOISwsDKtWrSpxeV6fn1RDrYjoYzQxTPzyEET0aWmXc7vUjt1napxaytn6g7VaytEmalkk/H2GhoZo3759votTEhEREWnapzbm8VOiU3QWIiIiIqK3NNLySERERFSaPsUJM58KBo9ERESkdYR8JpSQerDbmoiIiIhEY8sjERERaR0ZJ8xoDINHIiIi0joc86g57LYmIiIiItHY8khERERah+s8ag6DRyIiItI6DB41h8EjERERaR2ZwKV6NIVjHomIiIhINLY8EhERkdZht7XmMHgkIiIircPgUXPYbU1EREREorHlkYiIiLQOFwnXHAaPREREpHVkMs621hR2WxMRERGRaGx5JCIiIq3DCTOaw+CRiIiItI7ARcI1ht3WRERERCQaWx6JiIhI67DbWnMYPBIREZHWYfCoOQweiYiISOvIOOZRYzjmkYiIiIhEY8sjERERaR12W2sOg0ciIiLSOgLvMKMx7LYmIiIiItHY8khERERah93WmsPgkYiIiLQO7zCjOey2JiIiIiLR2PJIREREWkfGbmuNYfBIREREWoezrTWH3dZEREREJBpbHomIiEjrcLa15jB4JCIiIq3D2daaw+CRiIiItM6JPc1Kuwpai2MeiYiIiEg0Bo9EREREJBqDRyIiIiISjcEjEREREYnG4JGIiIiIRGPwSERERESiMXgkIiIiItEYPBIRERGRaAweiYiIiEg0Bo9EREREJBqDRyIiIiISjcEjEREREYnG4JGIiIiIRGPwSERERESiMXgkIiIiItEYPBIRERGRaAweiYiIiEg0Bo9EREREJBqDRyIiIiISjcEjEREREYnG4JGIiIiIRGPwSERERESiMXgkIiIiItEYPBIRERGRaAweiYiIiEg0Bo9EREREJBqDRyIiIiISjcEjEREREYnG4JGIiIiIRGPwSERERESiMXgkIiIiItEYPBIRERGRaAweiYiIiEg0Bo9EREREJBqDRyIiIiISjcEjEREREYnG4JGIiIiIRGPwSERERESiMXgkIiIiItEYPBIRERGRaAweiYiIiEg0Bo9EREREJBqDRyIiIiISjcEjEREREYnG4JGIiIiIRGPwSERERESiSQRBEEq7EkRERET0aWDLIxERERGJxuCRiIiIiERj8EhEREREojF4JCIiIiLRGDwSERERkWgMHomIiIhINAaPRERERCQag0ciIiIiEo3BIxERERGJxuCRiIiIiERj8EhEREREojF4JCIiIiLRGDxqucOHD2PAgAFwd3eHs7MzfH19MX36dDx48ECeJyUlBQsWLICfnx+cnZ3RtGlTjBs3Dvfv31coKz09HcHBwejWrRsaNWqEpk2bYujQobh9+/aHPq1C/f7773BwcEBSUhIAIDU1FcHBwbh3755CvpiYGDg4OCAyMrLQ8g4dOgQHBwfExMRorM5EpaVjx45wcHDAxYsXFdLzro+8R926ddG2bVssX74cmZmZCnmDg4MV8r77WLNmjdIx//77bzg4OKBVq1b51ik4OBgNGjRQeVtUVBQcHBwQGBgo5tSJqJjKlHYFSHMWLVqEtWvXok2bNpg9ezYsLCzw+PFj7N69G2PHjsXevXvx/Plz9OnTBykpKRg6dCicnJzw7NkzbNiwAd26dcOaNWvg5uYGAIiLi8POnTvRtWtXjBkzBllZWdiwYQN69OiB3bt3o2bNmqV8xm/5+Phg586dkEqlAN4GjyEhIahduzZq1aolz2dlZYWdO3fC1ta2lGpKVLru3r0r/+cvNDQUjRo1Usozbtw4NG7cGBkZGTh8+DBWrFiBxMREzJo1SyGfoaEhNm3apLR/5cqVldJCQ0MBAI8fP8a1a9dQr149dZyOvNzz588jPj4eFStWVEu5RKSIwaOWOn78ONauXYthw4Zh9OjR8nQ3Nzd07doVR48eBQDMnDkTcXFx2Lt3r0Lw5+fnh27dumH8+PGIioqCgYEBqlatiqioKJQtW1aer0mTJvD19cW2bdvw3XfffbgTLISFhQUsLCyKzKevr4/69etrvkJEH6nQ0FDo6OjAzc0NkZGRmDZtGvT09BTyVK9eXX6deHh4IDo6Gn/88QdmzJgBHZ1/O690dHREXU8ymQwRERFwdXXFjRs3EBoaqpbgMT09HceOHUPTpk1x+vRpREREoH///iUul4iUsdtaS23YsAEVKlTAsGHD8t3eokULxMbG4tChQ+jcubNSq6GRkRGGDh2K+Ph47N+/X572buAIAMbGxrCxsUFCQoJK9Tt27Bi6d+8OFxcXNGnSBN9//z1ev34t337u3Dk4ODjgzz//xOjRo9GgQQP4+PjIWxY2b94MHx8fuLu7Y+rUqcjOzpbv+263dUxMDFq2bAkAGD16tLwrLSYmJt9u65ycHPzwww9wd3eHq6srpkyZglevXinVPzk5GZMnT0bjxo3h4uKCnj174sKFCyq9BkSlSRAEhIWFoUmTJujfvz+Sk5Px559/Frmfo6MjMjMz5cNCVHXhwgU8e/YMPXv2hI+PDyIiIpCbm1usst518OBBZGVlYcSIEahTp478u4KI1I/BoxZ68+YNLl++jCZNmii1IrzrwoULEAQBLVq0yHe7r68vACiNhXpXamoq7t69Czs7O9H1i4yMxNdffw17e3uEhITgm2++QVRUFKZOnaqUd8aMGahduzZCQkJQr149fPvtt/jxxx9x8uRJzJw5E6NGjcIff/yBDRs25HssKysrhISEAHjb/bZz507s3LkTVlZW+eZfsmQJtm/fjqCgIPz000+QyWRYvHixQp7c3FwMGjQIR48exYQJE7Bs2TIYGRmhf//+uHHjhujXgag0Xb58GbGxsWjfvj2aNWsGc3NzhIWFFblfXFwcjI2NUa5cOaVtb968UXq8LzQ0FGXLloWfnx/at2+PFy9e4PTp0/keK7/yZDJZvnlDQ0NRpUoVNGzYEB06dMDNmzcRHR1d5PkQkerYba2FkpOTkZ2dDWtr60Lz5bUWFpTPxMQEUqkUz549K7CMH3/8ERKJBL169RJVN0EQsHDhQgQEBOCHH36Qp1taWmLw4MEYNmwYateuLU9v27YtRowYAQBwcXFBVFQUwsPDERUVJQ+Mz58/j8jISAwdOlTpePr6+nB0dASg2P2Wn+TkZGzbtg2DBg3CkCFDAADNmzdHnz59EB8fL8937NgxXL9+HevWrUPz5s0BAM2aNUPr1q2xevVqBAcHi3otiEpTWFgYDAwM0Lp1a+jp6aFNmzbYt28fXr16BWNjY3k+mUyGN2/eyMc8Hjx4EGPGjIGurq5Cea9fv0adOnWUjvPLL7/Ix1JmZ2fj4MGD8PX1hZGREXx8fGBqaorQ0FD5tVRUecDbXpB3PX/+HOfOnUNQUBAkEgkCAgKwcOFChIaGKgzbISL1YPCoxSQSiUbL3717N3bt2oX58+ejUqVKovZ58OABYmNjMWXKFIVWCXd3d+jo6ODGjRsKwaOnp6f8b1NTU1hYWKBRo0YKLaq2trY4d+5cic/nzp07yMzMVJoB2rp1a4Uu6YsXL8LExEThx05PTw+tWrUS1XJDVNrevHmDyMhIeHt7w9TUFADQoUMH7Ny5E1FRUejcubM879ixYxX2bdeuHQYNGqRUpqGhIbZu3aqU/m6vxIkTJ5CSkoL27dsDePvPXatWrRAZGYnMzEwYGhoWWd6uXbuUrrO8ru+8citWrAg3NzeEhYUxeCTSAAaPWsjc3BwGBgaIi4srNF9e121cXBw+++wzpe3p6elITU3NNzA8fvw4pk+fjmHDhuHzzz8XXbeXL18CAIYPH57v9qdPnyo8z/thy6Ovry+fRZ1HT09PYcxjcT1//hwAUL58eYX0ChUqKDxPTU1VypOXLyUlpcT1INK0U6dOISkpCS1atEBqaioAwN7eHpaWlggLC1MIHidMmIAmTZogLS0NW7duRXh4ONzd3dGzZ0+FMnV0dFC3bt1CjxsaGgpTU1PUr19fftwWLVrg999/x5EjRxAQEFBkeceOHcu33Bo1aqBy5crycn19fTFv3jy1zuYmorcYPGqhMmXKoGHDhjh79izevHmDMmXyf5vd3NwgkUhw7Ngx+fjGd+V9Sb+/fMfVq1cxevRodO7cWeX/6s3NzQEA06dPh4uLi9L2gsYifgiWlpYAgBcvXigs8ZGYmKiQz8zMDC9evFDaPzExEWZmZpqtJJEa5E0mmTx5MiZPnqyw7eXLlwqf72rVqsmDuMaNG6Nbt2746aef0LFjR6Xu48LkzYbOzMyEh4eH0vZ9+/YpBI9iPXr0CH/99RcAyJcVe5e6ZnMT0b8YPGqp/v37Y/DgwVi1apV8zOC7jh8/Dm9vb/j5+WHv3r3o378/atSoId+ekZGBVatWoVKlSvD395en37t3D0OGDEGTJk0wc+ZMletlZ2eHSpUq4cmTJ+jdu3fxTk5FeV3cWVlZheazt7eHoaEhoqKi4OTkJE8/ePCgQj5XV1esX78eJ0+eRLNmzQC87QY8dOgQXF1d1Vx7IvXKG7vo5+eHfv36KWxLTEzEuHHjEBERke9EOl1dXXzzzTfo378/du3aha+++kr0cQ8dOoTMzEzMnDlT4bsGAPbs2YOwsDAkJyfL/8EUKzQ0FBKJBCEhIUo9FWvWrEFERAQmT56sNEaTiIqPwaOW8vb2xsCBA+V3VmnXrh3KlSuHmJgY7N69G2lpafD29sb333+PPn36oHfv3hgyZAicnJwQHx+PDRs2IDY2FmvWrIGBgQGAty1yQUFBMDAwQGBgoMLMYhMTE4UFuAsikUgwadIkTJgwAa9fv4aPjw/Kli2LuLg4HD9+HGPHjlX6YSkpS0tLSKVShIeHo2rVqtDX14eDg4NSPnNzc/Ts2RNr166FoaEhnJycEB4ejsePHyvk8/HxgYuLC7755huMHz8eFSpUwJYtW5CQkIDly5erte5E6nb48GG8fv0affv2RePGjZW2r1u3DmFhYQWuwtC0aVO4urpi48aN6N27t/yfM5lMhqtXryrlL1++PKpVqyafDd2jRw+l8dhmZmbYs2cPIiMjlbrDixIWFoZGjRrBz89PaVt6ejqGDRuG06dPK03IIaLiY/Coxb755hs0aNAAv/zyC6ZMmYKMjAxYWVmhWbNmCAoKAvA2sNq1axdWrVqFzZs3Iz4+HqampmjSpAl+/PFHhfUf7927J595/X6Lg7u7O7Zs2SKqXv7+/pBKpVi1apW8+6xKlSpo3ry50vhCddDR0cG8efOwZMkSfPXVV8jOzsbhw4fzzTt+/Hjk5uZi3bp1kMlkaNWqFcaPH49vv/1WnkdXVxdr1qzBwoUL8eOPP8pnhW7YsAHOzs5qrz+ROoWFhcHa2jrfwBEAOnfujLlz5xa4JA4AjBgxAv3790doaCi6dOkCAMjMzESPHj2U8nbr1g3jxo3DmTNnMHjw4Hwn8n322WdwdHREaGioSsHjjRs38ODBA/n32fu8vLxgYWGR72xuIio+iSAIQmlXgoiIiIg+DVwknIiIiIhEY7c1qVVubi4Ka8wuaOY3ERERfRrYbU1q5evri9jY2AK33759+wPWhoiIiNSNwSOp1e3btwtdsLuoRYSJiIjo48bgkYiIiIhE44QZIiIiIhKNwSMRERERicbgkYiIiIhEY/BIRERERKIxeCQiIiIi0Rg8EhEREZFoDB6JiIiISDQGj0REREQk2v8BZNOnDaqJxtoAAAAASUVORK5CYII=\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "import pandas as pd\n", - "import seaborn as sns\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# Criar um DataFrame com os dados fornecidos\n", - "data = {\n", - " 'Ano': [2019, 2020, 2021, 2022],\n", - " 'CO2_emitido': [33720252, 33245171, 31815256, 31412973],\n", - " 'AREAHA': [64554.41, 113073.16, 154250.73, 227779.90]\n", - "}\n", - "\n", - "df = pd.DataFrame(data)\n", - "\n", - "# Calcular a correlação\n", - "correlation = df[['CO2_emitido', 'AREAHA']].corr()\n", - "\n", - "# Exibir a correlação\n", - "print(\"Coeficiente de Correlação:\")\n", - "print(correlation)\n", - "\n", - "# Criar um mapa de calor\n", - "plt.figure(figsize=(8, 6))\n", - "sns.heatmap(correlation, annot=True, cmap='coolwarm', center=0, cbar_kws={\"shrink\": .8})\n", - "plt.title('Mapa de Calor da Correlação entre CO2 Emitido e Área Desmatada')\n", - "plt.show()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 622 - }, - "id": "QsKiNFdMXRFs", - "outputId": "7b681d1c-c2cd-4d52-c530-478154706de4" - }, - "execution_count": 248, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Coeficiente de Correlação:\n", - " CO2_emitido AREAHA\n", - "CO2_emitido 1.000000 -0.945668\n", - "AREAHA -0.945668 1.000000\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "Visualização" - ], - "metadata": { - "id": "7X7DJFaDG_6c" - } - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "# Definindo o estilo do gráfico\n", - "sns.set(style=\"whitegrid\")\n", - "\n", - "# Criar o gráfico de dispersão com linha de tendência\n", - "plt.figure(figsize=(10, 6))\n", - "sns.regplot(x='AREAHA', y='CO2_emitido', data=df, scatter_kws={'alpha':0.5}, line_kws={'color':'red'})\n", - "plt.xlabel('Área Desmatada (ha)')\n", - "plt.ylabel('Emissão de CO2')\n", - "plt.title('Relação entre Desmatamento e Emissão de CO2 com Linha de Tendência')\n", - "plt.grid()\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 574 - }, - "id": "7lfnBJF3HjMz", - "outputId": "73918dd5-6fac-41d3-f4db-18f3fb25da92" - }, - "execution_count": 252, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "import seaborn as sns\n", - "\n", - "corr = dados_combinados[['AREAHA', 'CO2_emitido']].corr()\n", - "sns.heatmap(corr, annot=True, cmap='coolwarm')\n", - "plt.title('Mapa de Calor de Correlação')\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 458 - }, - "id": "efZraLofHWAu", - "outputId": "030038f0-de4f-4e4b-fb85-af32f7250008" - }, - "execution_count": 226, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Agrupar os dados por ano e calcular a média\n", - "dados_ano = dados_combinados.groupby('Ano').agg({'AREAHA': 'mean', 'CO2_emitido': 'mean'}).reset_index()\n", - "\n", - "# Visualizar os dados agrupados\n", - "print(dados_ano)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "jKbcEucEHVwE", - "outputId": "3263a9f5-a627-44ba-dd03-036cf10450ff" - }, - "execution_count": 228, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Ano AREAHA CO2_emitido\n", - "0 2019 102.155350 1.321065e+06\n", - "1 2020 45.609471 1.149521e+06\n", - "2 2021 82.993314 1.166037e+06\n", - "3 2022 158.969566 9.345907e+05\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import seaborn as sns\n", - "\n", - "# Definir o estilo do gráfico\n", - "sns.set(style=\"whitegrid\")\n", - "\n", - "# Criar gráfico de dispersão para cada ano\n", - "plt.figure(figsize=(12, 8))\n", - "for ano in dados_ano['Ano'].unique():\n", - " subset = dados_combinados[dados_combinados['Ano'] == ano]\n", - " sns.regplot(x='AREAHA', y='CO2_emitido', data=subset, label=ano, scatter_kws={'alpha':0.5}, line_kws={'color':'red'}, ci=None)\n", - "\n", - "plt.xlabel('Área Desmatada (ha)')\n", - "plt.ylabel('Emissão de CO2')\n", - "plt.title('Relação entre Desmatamento e Emissão de CO2 por Ano')\n", - "plt.legend(title='Ano')\n", - "plt.grid()\n", - "plt.show()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 727 - }, - "id": "2id9lJtkJxhT", - "outputId": "aec63da6-02a7-4a88-bcdb-401bc85a9c62" - }, - "execution_count": 229, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "
" - ], - "image/png": 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\n" - }, - "metadata": {} - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Filtrar dados de 2019 e 2020\n", - "dados_comparacao = dados_ano[dados_ano['Ano'].isin([2019, 2020])]\n", - "\n", - "# Exibir comparação\n", - "print(dados_comparacao)\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "OA25XsSkHVoa", - "outputId": "bb737f52-ccc2-4f1c-e716-17083b4fbd96" - }, - "execution_count": 230, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - " Ano AREAHA CO2_emitido\n", - "0 2019 102.155350 1.321065e+06\n", - "1 2020 45.609471 1.149521e+06\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [], - "metadata": { - "id": "VhVWfb_OKBET" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "code", - "source": [], - "metadata": { - "id": "ilHWqMcMKA3k" - }, - "execution_count": null, - "outputs": [] - }, - { - "cell_type": "markdown", - "source": [ - "**CRIANDO UM BANCO DE DADOS**\n", - "\n", - "\n", - "Vamos começar lendo dados de um arquivo CSV e inserindo-os em uma tabela do banco de dados SQLite." - ], - "metadata": { - "id": "3cmdxAhsfFZG" - } - }, - { - "cell_type": "code", - "source": [ - "import sqlite3\n", - "import pandas as pd\n", - "from sqlalchemy import create_engine\n", - "#from google.colab import files\n", - "\n", - "# Passo 1: Fazer upload do arquivo CSV\n", - "# uploaded = files.upload()\n", - "\n", - "# Passo 2: Ler o CSV em um DataFrame\n", - "df = pd.read_csv('dados_integrados.csv')\n", - "\n", - "# Passo 3: Criar o engine para o SQLite\n", - "engine = create_engine('sqlite:///banco.db') #abre e fecha conexões\n", - "\n", - "# Passo 4: Inserir o DataFrame no banco de dados SQLite\n", - "df.to_sql('desmatamento_co2', con=engine, if_exists='replace', index=False)\n", - "\n", - "print(\"Dados inseridos com sucesso no SQLite!\")\n", - "\n", - "# Passo 5: Consultar o banco de dados\n", - "conn = sqlite3.connect('banco.db')\n", - "cursor = conn.cursor()\n", - "\n", - "# Fazer uma consulta\n", - "cursor.execute(\"SELECT * FROM desmatamento_co2 LIMIT 5\")\n", - "rows = cursor.fetchall()\n", - "\n", - "# Mostrar os resultados\n", - "for row in rows:\n", - " print(row)\n", - "\n", - "# Fechar a conexão\n", - "conn.close()\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "utOkFSAn2NNG", - "outputId": "e7c05bcd-596d-407c-b668-eea82a8cba10" - }, - "execution_count": null, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Dados inseridos com sucesso no SQLite!\n", - "('Cerrado', 'BAHIA', 'são desidério', 12.52, 'agriculture', 3159579, 2021)\n", - "('Cerrado', 'BAHIA', 'luís eduardo magalhães', 4.83, 'agriculture', 654262, 2021)\n", - "('Cerrado', 'BAHIA', 'riachão das neves', 7.41, 'agriculture', 761963, 2021)\n", - "('Cerrado', 'BAHIA', 'baianópolis', 2.91, 'agriculture', 1700892, 2021)\n", - "('Cerrado', 'BAHIA', 'santa rita de cássia', 2.3, 'agriculture', 998700, 2021)\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "import sqlite3\n", - "import pandas as pd\n", - "from sqlalchemy import create_engine\n", - "\n", - "\n", - "# Passo 2: Criar um DataFrame com os dados fornecidos\n", - "data = {\n", - " 'Ano': [2019, 2020, 2021, 2022],\n", - " 'CO2_emitido': [33720252, 33245171, 31815256, 31412973],\n", - " 'AREAHA': [64554.41, 113073.16, 154250.73, 227779.90]\n", - "}\n", - "\n", - "df = pd.DataFrame(data)\n", - "\n", - "# Passo 3: Criar o engine para o SQLite\n", - "engine = create_engine('sqlite:///banco.db') #abre e fecha conexões\n", - "\n", - "# Passo 4: Inserir o DataFrame no banco de dados SQLite\n", - "df.to_sql('desmatamento_co2', con=engine, if_exists='replace', index=False)\n", - "\n", - "print(\"Dados inseridos com sucesso no SQLite!\")\n", - "\n", - "# Passo 5: Consultar o banco de dados\n", - "conn = sqlite3.connect('banco.db')\n", - "cursor = conn.cursor()\n", - "\n", - "# Fazer uma consulta\n", - "cursor.execute(\"SELECT * FROM desmatamento_co2 LIMIT 5\")\n", - "rows = cursor.fetchall()\n", - "\n", - "# Mostrar os resultados\n", - "for row in rows:\n", - " print(row)\n", - "\n", - "# Fechar a conexão\n", - "conn.close()" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "bT0CeNXgN-yR", - "outputId": "26241080-9508-4e73-c37f-f390fe78e656" - }, - "execution_count": 235, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Dados inseridos com sucesso no SQLite!\n", - "(2019, 33720252, 64554.41)\n", - "(2020, 33245171, 113073.16)\n", - "(2021, 31815256, 154250.73)\n", - "(2022, 31412973, 227779.9)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "source": [ - "**CONSIDERAÇÔES FINAIS**\n", - "\n", - "\n", - "A análise inicial dos dados revelou que, apesar dos esforços de preservação, o desmatamento em várias regiões da Bahia aumentou significativamente nos últimos anos. Isso ocorre especialmente em áreas de biomas sensíveis, como a Caatinga e o Cerrado, que são biomas predominantes no estado.\n", - "\n", - "Esse aumento no desmatamento está intimamente relacionado ao aumento das emissões de CO₂, um dos principais gases responsáveis pelo efeito estufa. O impacto negativo do desmatamento é agravado pelo fato de que essas áreas desmatadas são substituídas por atividades que emitem ainda mais CO₂, como a agropecuária.\n", - "\n", - "Entretanto, as taxas de desmatamento e emissões de CO₂ apresentaram flutuações durante a pandemia de COVID-19, o que levanta questões sobre o papel de eventos globais e econômicos na redução temporária das atividades humanas e como isso afetou o meio ambiente local.\n", - "\n", - "Os resultados da análise reforçam a correlação direta entre desmatamento e emissões de CO₂ no estado da Bahia.\n", - "\n", - "Regiões com maiores áreas desmatadas apresentaram emissões de carbono proporcionalmente mais elevadas, principalmente em áreas destinadas à agropecuária.\n", - "\n", - "- A pandemia trouxe uma breve redução nas emissões, mas o desmatamento continuou a crescer, destacando a necessidade de políticas públicas mais robustas e eficientes para combater essa tendência.\n", - "\n", - "- A expansão agrícola é um dos principais motores do desmatamento e das emissões de CO₂ na Bahia.\n", - "\n", - "- Apesar da breve redução de emissões durante a pandemia, o desmatamento persistiu, o que sugere que fatores locais (como a pressão econômica) têm um papel crucial no aumento da degradação ambiental.\n", - "\n", - "- Medidas de mitigação mais efetivas, incluindo a fiscalização e preservação de áreas naturais, são fundamentais para controlar as emissões de carbono derivadas do desmatamento." - ], - "metadata": { - "id": "fdQmOKTrY-XL" - } - } - ] -} From d733b13160e23b715d93dbf45820b39cc9b149de Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sun, 13 Oct 2024 17:39:23 -0300 Subject: [PATCH 79/90] Criado usando o Colab --- projeto_final_paloma_anne.ipynb | 3326 +++++++++++++++++++++++++++++++ 1 file changed, 3326 insertions(+) create mode 100644 projeto_final_paloma_anne.ipynb diff --git a/projeto_final_paloma_anne.ipynb b/projeto_final_paloma_anne.ipynb new file mode 100644 index 0000000..52568d7 --- /dev/null +++ b/projeto_final_paloma_anne.ipynb @@ -0,0 +1,3326 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "include_colab_link": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "view-in-github", + "colab_type": "text" + }, + "source": [ + "\"Open" + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Projeto Final de Análise de Dados**\n", + "\n", + "Desenvolvido por:\n", + "\n", + "Paloma Avena palomaavena@gmail.com\n", + "\n", + "Anne Ribeiro anne.asribeiro@gmail.com\n", + "\n" + ], + "metadata": { + "id": "4nPdko9j_PEt" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Contexto**\n", + "\n", + "Nos últimos anos, a questão do desmatamento e suas consequências ambientais têm se tornado uma preocupação crescente. A Bahia, por ser um estado de grande diversidade biológica, possui áreas significativas de florestas e biomas que desempenham um papel vital na regulação climática. O desmatamento pode impactar diretamente as emissões de dióxido de carbono (CO₂), contribuindo para o aquecimento global e alterações climáticas." + ], + "metadata": { + "id": "WIMvI1tp_XVU" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Etapas do projeto:**\n", + "\n", + "\n", + "1. Selecionar a Base de Dados\n", + "2. Definir Objetivo e Perguntas\n", + "3. Realizar Análise Exploratória\n", + "4. Gerar Base Final\n", + "5. Criar Visualizações no Tableau\n", + "6. Preparar Apresentação Final\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ], + "metadata": { + "id": "uk5GxJpZ_ouB" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Bases de dados **\n", + "\n", + "Base 1: MapBiomas Alertas\n", + "https://plataforma.alerta.mapbiomas.org/downloads\n", + "\n", + "Dados de áreas(ha) desmatada por Municipío, Fator de pressão e Biomas no estado da Bahia.\n", + "\n", + "Base 2: Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)\n", + "https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA..\n", + "\n", + "\n", + "Dados de CO2 em toneladas por Municípios de Mudança de uso da terra e floresta." + ], + "metadata": { + "id": "vqYQ20MD_orK" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Objetivo Geral:**\n", + "\n", + "Este projeto tem como objetivo analisar os dados de desmatamento e emissões de CO₂ no estado da Bahia entre 2019 e 2022, a fim de entender como o desmatamento tem impactado as emissões de carbono no período da Pandemia.\n" + ], + "metadata": { + "id": "ZypjoEDB_ooh" + } + }, + { + "cell_type": "markdown", + "source": [ + "**As perguntas norteadoras deste projeto são:**\n", + "\n", + "1. Qual a taxa de desmatamento nos municípios e biomas da Bahia entre 2019 e 2022?\n", + "2. Qual a taxa de CO2 emitido nos municípios da Bahia entre 2019 e 2022, devido a Mudança de uso da terra e floresta?\n", + "3. Existe uma correlação entre as áreas desmatadas e o aumento das emissões de CO₂?\n", + "4. Como a pandemia afetou as taxas de desmatamento e emissões de CO₂?\n" + ], + "metadata": { + "id": "mrO_v4O1_olp" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Desafios:**\n", + "\n", + "1. Identificar regiões com maior desmatamento e correlacionar com dados de emissões.\n", + "2. Analisar o efeito da pandemia nas taxas de desmatamento e emissões.\n", + "\n", + "**Direcionamentos:**\n", + "\n", + "\n", + "Utilizamos técnicas de análise de dados para identificar padrões e correlações entre as variáveis:\n", + "\n", + "1. Análise temporal: Avaliamos a evolução do desmatamento e das emissões ao longo dos anos, de 2019 a 2022.\n", + "\n", + "2. Correlações regionais: Mapeamos as emissões de CO₂ e áreas desmatadas por município, identificando as regiões da Bahia mais afetadas. Descobrimos que áreas como o Oeste da Bahia, caracterizadas pelo agronegócio, registram as maiores emissões.\n", + "\n", + "3. Impacto da pandemia: Durante a pandemia, observamos uma pequena queda nas emissões devido à redução das atividades econômicas, mas o desmatamento continuou a subir em algumas regiões, mostrando a resiliência desse problema mesmo em crises globais." + ], + "metadata": { + "id": "RNIrgkoWZRWr" + } + }, + { + "cell_type": "markdown", + "source": [ + "**Ferramentas Utilizadas:**\n", + "\n", + "Banco de dados\n", + "Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc.\n", + "Tableau: Para criar as visualizações finais e apresentar os insights gerados.\n", + "GitHub: Para versionamento do projeto e documentação.\n", + "Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem.\n", + "\n" + ], + "metadata": { + "id": "VV5GKSMc_oia" + } + }, + { + "cell_type": "markdown", + "source": [ + "Instalando o **Python**: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador.\n", + "\n", + "Instalando o **Visual Studio Code (VS Code)**: Acesse o site (https://code.visualstudio.com/).\n", + "\n", + "**Extensões** que irão tornar o processo de desenvolvimento mais simples e intuitivo:\n", + "\n", + "SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos SQLite (.db), executar consultas SQL, visualizar dados e até mesmo criar tabelas e colunas diretamente no VS Code.\n", + "\n", + "SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros.\n", + "\n", + "\n", + "**Bibliotecas e módulos:**\n", + "\n", + "sqlite3\n", + "csv\n", + "Pandas\n", + "Seaborn\n", + "Matplotlib\n" + ], + "metadata": { + "id": "n33nNlCqgZFC" + } + }, + { + "cell_type": "markdown", + "source": [ + "\n", + "**Análise exploratória de dados**\n", + "\n" + ], + "metadata": { + "id": "miL-Xxpd_niS" + } + }, + { + "cell_type": "markdown", + "source": [ + "**1. DADOS DE CO2 - SEEG**\n", + "\n", + "\n", + "Vamos utilizar a coluna 'categoria'= municipio e total de co2 emitido em tonelada por vetor de emissão, no caso 'Mudança de Uso da Terra e Floresta' dos anos de 2019 a 2022.\n" + ], + "metadata": { + "id": "c48LiFSG_Fft" + } + }, + { + "cell_type": "markdown", + "source": [ + "Coleta de dados CO2 Bahia, SEEG:\n", + "\n", + "\n", + "link: https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-bahia&_gl=1*gambxz*_ga*MTk5NTgxNjM5MS4xNzI1NjQzNTE1*_ga_XZWSWEJDWQ*MTcyNTY0MzUxNS4xLjAuMTcyNTY0MzUxNS4wLjAuMA..blob:https://plataforma.seeg.eco.br/845fd445-2d02-43a9-bb87-14435bfb6c1b\n", + "\n", + "\n" + ], + "metadata": { + "id": "vo84te4Y7n-P" + } + }, + { + "cell_type": "markdown", + "source": [ + "1. **DADOS CO2 - SEEG**" + ], + "metadata": { + "id": "rfcw5b-JebFU" + } + }, + { + "cell_type": "code", + "source": [ + "# Importando os dados das planilhas\n", + "\n", + "# Primeiro, instale a biblioteca pandas se ainda não estiver instalada\n", + "!pip install pandas\n", + "\n", + "# Importando os dados\n", + "import pandas as pd\n", + "import csv\n", + "\n", + "# Carregando os dois arquivos CSV\n", + "# Caso esteja rodando localmente, altere o caminho dos arquivos, no Colab, você pode fazer upload dos arquivos e colocar o nome do arquivo abaixo:\n", + "\n", + "df1 = pd.read_csv('SEEG.csv')\n", + "\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "print(df1.head())\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dxaI-_ekeF9W", + "outputId": "3ae660c8-78dd-425d-821c-2d5be7729b93", + "collapsed": true + }, + "execution_count": 256, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.2.2)\n", + "Requirement already satisfied: numpy>=1.22.4 in /usr/local/lib/python3.10/dist-packages (from pandas) (1.26.4)\n", + "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", + "Requirement already satisfied: tzdata>=2022.7 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.2)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n", + " Categoria 1990 1991 1992 \\\n", + "0 São Desidério (BA) 2.002523e+06 2.116496e+06 1.342632e+06 \n", + "1 Formosa do Rio Preto (BA) 8.268747e+05 3.994671e+05 5.396696e+05 \n", + "2 Jaborandi (BA) 5.986577e+05 3.230176e+05 5.522217e+05 \n", + "3 Correntina (BA) 1.240466e+06 1.300028e+06 1.251180e+06 \n", + "4 Barreiras (BA) 1.104449e+06 9.809112e+05 9.201021e+05 \n", + "\n", + " 1993 1994 1995 1996 1997 \\\n", + "0 2.128146e+06 1.457664e+06 1.380662e+06 2.586180e+06 1.266969e+06 \n", + "1 7.916206e+05 1.109452e+06 1.319670e+06 1.691259e+06 1.703959e+06 \n", + "2 5.767153e+05 6.191671e+05 9.156728e+05 3.416252e+05 2.867088e+05 \n", + "3 2.444920e+06 1.626112e+06 7.442169e+05 8.835755e+05 5.224134e+05 \n", + "4 1.228585e+06 1.639774e+06 1.522551e+06 1.179748e+06 1.104723e+06 \n", + "\n", + " 1998 ... 2013 2014 2015 2016 \\\n", + "0 2.054171e+06 ... 1.891963e+06 1.282559e+06 1.218159e+06 9.212761e+05 \n", + "1 1.971454e+06 ... 3.487482e+06 2.810540e+06 1.893684e+06 6.809720e+05 \n", + "2 3.425471e+05 ... 2.526260e+06 1.280666e+06 1.001395e+06 6.383960e+05 \n", + "3 8.225963e+05 ... 1.683472e+06 1.255760e+06 1.275669e+06 1.072367e+06 \n", + "4 1.254497e+06 ... 2.095302e+06 8.441796e+05 1.058625e+06 8.611082e+05 \n", + "\n", + " 2017 2018 2019 2020 2021 \\\n", + "0 9.647149e+05 1.252957e+06 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 7.885680e+05 1.208044e+06 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 7.539480e+05 1.162687e+06 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 1.202182e+06 1.245274e+06 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 8.665016e+05 8.465682e+05 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "\n", + " 2022 \n", + "0 2729422 \n", + "1 2432263 \n", + "2 1734316 \n", + "3 1473135 \n", + "4 996163 \n", + "\n", + "[5 rows x 34 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "df1.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "248fsSuvOBAa", + "outputId": "d39b6b2f-0a47-489b-ef7f-8e1e2fc8c116", + "collapsed": true + }, + "execution_count": 257, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 31 entries, 0 to 30\n", + "Data columns (total 34 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Categoria 31 non-null object \n", + " 1 1990 31 non-null float64\n", + " 2 1991 31 non-null float64\n", + " 3 1992 31 non-null float64\n", + " 4 1993 31 non-null float64\n", + " 5 1994 31 non-null float64\n", + " 6 1995 31 non-null float64\n", + " 7 1996 31 non-null float64\n", + " 8 1997 31 non-null float64\n", + " 9 1998 31 non-null float64\n", + " 10 1999 31 non-null float64\n", + " 11 2000 31 non-null float64\n", + " 12 2001 31 non-null float64\n", + " 13 2002 31 non-null float64\n", + " 14 2003 31 non-null float64\n", + " 15 2004 31 non-null float64\n", + " 16 2005 31 non-null float64\n", + " 17 2006 31 non-null float64\n", + " 18 2007 31 non-null float64\n", + " 19 2008 31 non-null float64\n", + " 20 2009 31 non-null float64\n", + " 21 2010 31 non-null float64\n", + " 22 2011 31 non-null float64\n", + " 23 2012 31 non-null float64\n", + " 24 2013 31 non-null float64\n", + " 25 2014 31 non-null float64\n", + " 26 2015 31 non-null float64\n", + " 27 2016 31 non-null float64\n", + " 28 2017 31 non-null float64\n", + " 29 2018 31 non-null float64\n", + " 30 2019 31 non-null float64\n", + " 31 2020 31 non-null float64\n", + " 32 2021 31 non-null float64\n", + " 33 2022 31 non-null int64 \n", + "dtypes: float64(32), int64(1), object(1)\n", + "memory usage: 8.4+ KB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Selecionar as colunas específicas\n", + "\n", + "df_1 = df1[['Categoria','2019', '2020', '2021', '2022']]\n", + "print(df_1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "y8K4BWR3hDtm", + "outputId": "3ce88197-cee8-4fc0-f0a7-166c89573220" + }, + "execution_count": 258, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Categoria 2019 2020 2021 \\\n", + "0 São Desidério (BA) 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 Jaborandi (BA) 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 Correntina (BA) 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 Barreiras (BA) 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "5 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 7.619633e+05 \n", + "6 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 9.987006e+05 \n", + "7 Jequié (BA) 2.491692e+05 1.862657e+05 1.639264e+05 \n", + "8 Encruzilhada (BA) 4.038959e+05 4.516205e+05 5.873154e+05 \n", + "9 Baianópolis (BA) 6.074368e+05 7.908150e+05 1.700892e+06 \n", + "10 Valença (BA) 2.476738e+05 4.276377e+05 1.953325e+05 \n", + "11 Cocos (BA) 9.593941e+05 1.218387e+06 1.229645e+06 \n", + "12 Belmonte (BA) 3.904032e+05 3.505588e+05 3.314850e+05 \n", + "13 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 6.542620e+05 \n", + "14 Barra (BA) 2.260111e+05 1.397781e+05 7.905882e+04 \n", + "15 Cotegipe (BA) 3.311638e+05 5.599601e+05 2.925473e+05 \n", + "16 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 7.243660e+04 \n", + "17 Itagibá (BA) 1.216756e+05 7.210208e+04 1.114533e+05 \n", + "18 Itapetinga (BA) 5.707418e+04 4.613513e+04 2.072777e+04 \n", + "19 Iguaí (BA) 8.222719e+04 1.274713e+05 1.559627e+05 \n", + "20 Maraú (BA) 8.020749e+04 1.701269e+05 1.032113e+05 \n", + "21 Ibicuí (BA) 1.696392e+04 3.524000e+04 2.780070e+04 \n", + "22 Guaratinga (BA) 2.117080e+05 2.516566e+05 1.717426e+05 \n", + "23 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 5.956842e+04 \n", + "24 Camamu (BA) 2.214714e+05 4.347414e+05 1.635482e+05 \n", + "25 Itambé (BA) 1.001077e+05 1.444300e+05 6.526349e+04 \n", + "26 Dário Meira (BA) 9.440196e+04 9.250477e+04 1.017979e+05 \n", + "27 Igrapiúna (BA) 2.576941e+05 3.782366e+05 1.486217e+05 \n", + "28 Ilhéus (BA) 1.588721e+05 1.912059e+05 1.317151e+05 \n", + "29 Itarantim (BA) 3.847215e+04 6.031930e+04 1.040533e+04 \n", + "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 \n", + "\n", + " 2022 \n", + "0 2729422 \n", + "1 2432263 \n", + "2 1734316 \n", + "3 1473135 \n", + "4 996163 \n", + "5 670183 \n", + "6 569631 \n", + "7 498001 \n", + "8 414662 \n", + "9 413632 \n", + "10 378871 \n", + "11 367625 \n", + "12 354868 \n", + "13 343098 \n", + "14 312169 \n", + "15 297663 \n", + "16 292758 \n", + "17 288483 \n", + "18 285382 \n", + "19 277970 \n", + "20 275953 \n", + "21 245755 \n", + "22 243882 \n", + "23 238334 \n", + "24 232571 \n", + "25 227632 \n", + "26 217077 \n", + "27 210971 \n", + "28 209209 \n", + "29 203154 \n", + "30 13978140 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Altera os nomes das colunas\n", + "\n", + "df_1.columns = ['Municípios', '2019', '2020', '2021', '2022']\n", + "print(df_1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "L6d5VRWSrfKE", + "outputId": "9c8d4f03-699f-4abe-efce-d7b12cb920cc", + "collapsed": true + }, + "execution_count": 259, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 \\\n", + "0 São Desidério (BA) 2.024108e+06 3.091203e+06 3.159580e+06 \n", + "1 Formosa do Rio Preto (BA) 4.220327e+06 3.073766e+06 2.299738e+06 \n", + "2 Jaborandi (BA) 1.706968e+06 1.744004e+06 2.051921e+06 \n", + "3 Correntina (BA) 1.545573e+06 1.060526e+06 1.585476e+06 \n", + "4 Barreiras (BA) 1.568927e+06 1.179766e+06 9.583063e+05 \n", + "5 Riachão das Neves (BA) 5.801730e+05 1.085054e+06 7.619633e+05 \n", + "6 Santa Rita de Cássia (BA) 6.947971e+05 8.595094e+05 9.987006e+05 \n", + "7 Jequié (BA) 2.491692e+05 1.862657e+05 1.639264e+05 \n", + "8 Encruzilhada (BA) 4.038959e+05 4.516205e+05 5.873154e+05 \n", + "9 Baianópolis (BA) 6.074368e+05 7.908150e+05 1.700892e+06 \n", + "10 Valença (BA) 2.476738e+05 4.276377e+05 1.953325e+05 \n", + "11 Cocos (BA) 9.593941e+05 1.218387e+06 1.229645e+06 \n", + "12 Belmonte (BA) 3.904032e+05 3.505588e+05 3.314850e+05 \n", + "13 Luís Eduardo Magalhães (BA) 8.004357e+05 1.523413e+06 6.542620e+05 \n", + "14 Barra (BA) 2.260111e+05 1.397781e+05 7.905882e+04 \n", + "15 Cotegipe (BA) 3.311638e+05 5.599601e+05 2.925473e+05 \n", + "16 Ibirapitanga (BA) 8.620563e+04 2.963629e+05 7.243660e+04 \n", + "17 Itagibá (BA) 1.216756e+05 7.210208e+04 1.114533e+05 \n", + "18 Itapetinga (BA) 5.707418e+04 4.613513e+04 2.072777e+04 \n", + "19 Iguaí (BA) 8.222719e+04 1.274713e+05 1.559627e+05 \n", + "20 Maraú (BA) 8.020749e+04 1.701269e+05 1.032113e+05 \n", + "21 Ibicuí (BA) 1.696392e+04 3.524000e+04 2.780070e+04 \n", + "22 Guaratinga (BA) 2.117080e+05 2.516566e+05 1.717426e+05 \n", + "23 Nilo Peçanha (BA) 9.027649e+04 1.546260e+05 5.956842e+04 \n", + "24 Camamu (BA) 2.214714e+05 4.347414e+05 1.635482e+05 \n", + "25 Itambé (BA) 1.001077e+05 1.444300e+05 6.526349e+04 \n", + "26 Dário Meira (BA) 9.440196e+04 9.250477e+04 1.017979e+05 \n", + "27 Igrapiúna (BA) 2.576941e+05 3.782366e+05 1.486217e+05 \n", + "28 Ilhéus (BA) 1.588721e+05 1.912059e+05 1.317151e+05 \n", + "29 Itarantim (BA) 3.847215e+04 6.031930e+04 1.040533e+04 \n", + "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 \n", + "\n", + " 2022 \n", + "0 2729422 \n", + "1 2432263 \n", + "2 1734316 \n", + "3 1473135 \n", + "4 996163 \n", + "5 670183 \n", + "6 569631 \n", + "7 498001 \n", + "8 414662 \n", + "9 413632 \n", + "10 378871 \n", + "11 367625 \n", + "12 354868 \n", + "13 343098 \n", + "14 312169 \n", + "15 297663 \n", + "16 292758 \n", + "17 288483 \n", + "18 285382 \n", + "19 277970 \n", + "20 275953 \n", + "21 245755 \n", + "22 243882 \n", + "23 238334 \n", + "24 232571 \n", + "25 227632 \n", + "26 217077 \n", + "27 210971 \n", + "28 209209 \n", + "29 203154 \n", + "30 13978140 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remover informações de estado (como \"(BA)\") de 'Municípios'\n", + "df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n", + "\n", + "print(df_1)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "aYveX-t4rJBb", + "outputId": "30e8316b-08b4-498b-eee8-88f64b5141bd", + "collapsed": true + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 2022\n", + "0 São Desidério 2.024108e+06 3.091203e+06 3.159580e+06 2729422\n", + "1 Formosa do Rio Preto 4.220327e+06 3.073766e+06 2.299738e+06 2432263\n", + "2 Jaborandi 1.706968e+06 1.744004e+06 2.051921e+06 1734316\n", + "3 Correntina 1.545573e+06 1.060526e+06 1.585476e+06 1473135\n", + "4 Barreiras 1.568927e+06 1.179766e+06 9.583063e+05 996163\n", + "5 Riachão das Neves 5.801730e+05 1.085054e+06 7.619633e+05 670183\n", + "6 Santa Rita de Cássia 6.947971e+05 8.595094e+05 9.987006e+05 569631\n", + "7 Jequié 2.491692e+05 1.862657e+05 1.639264e+05 498001\n", + "8 Encruzilhada 4.038959e+05 4.516205e+05 5.873154e+05 414662\n", + "9 Baianópolis 6.074368e+05 7.908150e+05 1.700892e+06 413632\n", + "10 Valença 2.476738e+05 4.276377e+05 1.953325e+05 378871\n", + "11 Cocos 9.593941e+05 1.218387e+06 1.229645e+06 367625\n", + "12 Belmonte 3.904032e+05 3.505588e+05 3.314850e+05 354868\n", + "13 Luís Eduardo Magalhães 8.004357e+05 1.523413e+06 6.542620e+05 343098\n", + "14 Barra 2.260111e+05 1.397781e+05 7.905882e+04 312169\n", + "15 Cotegipe 3.311638e+05 5.599601e+05 2.925473e+05 297663\n", + "16 Ibirapitanga 8.620563e+04 2.963629e+05 7.243660e+04 292758\n", + "17 Itagibá 1.216756e+05 7.210208e+04 1.114533e+05 288483\n", + "18 Itapetinga 5.707418e+04 4.613513e+04 2.072777e+04 285382\n", + "19 Iguaí 8.222719e+04 1.274713e+05 1.559627e+05 277970\n", + "20 Maraú 8.020749e+04 1.701269e+05 1.032113e+05 275953\n", + "21 Ibicuí 1.696392e+04 3.524000e+04 2.780070e+04 245755\n", + "22 Guaratinga 2.117080e+05 2.516566e+05 1.717426e+05 243882\n", + "23 Nilo Peçanha 9.027649e+04 1.546260e+05 5.956842e+04 238334\n", + "24 Camamu 2.214714e+05 4.347414e+05 1.635482e+05 232571\n", + "25 Itambé 1.001077e+05 1.444300e+05 6.526349e+04 227632\n", + "26 Dário Meira 9.440196e+04 9.250477e+04 1.017979e+05 217077\n", + "27 Igrapiúna 2.576941e+05 3.782366e+05 1.486217e+05 210971\n", + "28 Ilhéus 1.588721e+05 1.912059e+05 1.317151e+05 209209\n", + "29 Itarantim 3.847215e+04 6.031930e+04 1.040533e+04 203154\n", + "30 Outros 1.554645e+07 1.304776e+07 1.342087e+07 13978140\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_1['Municípios'] = df_1['Municípios'].str.replace(r' \\(.*\\)', '', regex=True)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Converta todas as colunas de anos para inteiro\n", + "\n", + "df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int)\n", + "\n", + "print(df_1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "6toQkSKTetTx", + "outputId": "1155915b-40ad-4181-d415-bef821e01939", + "collapsed": true + }, + "execution_count": 260, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 2022\n", + "0 São Desidério (BA) 2024107 3091203 3159579 2729422\n", + "1 Formosa do Rio Preto (BA) 4220327 3073766 2299737 2432263\n", + "2 Jaborandi (BA) 1706967 1744004 2051920 1734316\n", + "3 Correntina (BA) 1545572 1060525 1585476 1473135\n", + "4 Barreiras (BA) 1568927 1179766 958306 996163\n", + "5 Riachão das Neves (BA) 580173 1085054 761963 670183\n", + "6 Santa Rita de Cássia (BA) 694797 859509 998700 569631\n", + "7 Jequié (BA) 249169 186265 163926 498001\n", + "8 Encruzilhada (BA) 403895 451620 587315 414662\n", + "9 Baianópolis (BA) 607436 790814 1700892 413632\n", + "10 Valença (BA) 247673 427637 195332 378871\n", + "11 Cocos (BA) 959394 1218387 1229644 367625\n", + "12 Belmonte (BA) 390403 350558 331485 354868\n", + "13 Luís Eduardo Magalhães (BA) 800435 1523413 654262 343098\n", + "14 Barra (BA) 226011 139778 79058 312169\n", + "15 Cotegipe (BA) 331163 559960 292547 297663\n", + "16 Ibirapitanga (BA) 86205 296362 72436 292758\n", + "17 Itagibá (BA) 121675 72102 111453 288483\n", + "18 Itapetinga (BA) 57074 46135 20727 285382\n", + "19 Iguaí (BA) 82227 127471 155962 277970\n", + "20 Maraú (BA) 80207 170126 103211 275953\n", + "21 Ibicuí (BA) 16963 35239 27800 245755\n", + "22 Guaratinga (BA) 211708 251656 171742 243882\n", + "23 Nilo Peçanha (BA) 90276 154625 59568 238334\n", + "24 Camamu (BA) 221471 434741 163548 232571\n", + "25 Itambé (BA) 100107 144429 65263 227632\n", + "26 Dário Meira (BA) 94401 92504 101797 217077\n", + "27 Igrapiúna (BA) 257694 378236 148621 210971\n", + "28 Ilhéus (BA) 158872 191205 131715 209209\n", + "29 Itarantim (BA) 38472 60319 10405 203154\n", + "30 Outros 15546451 13047762 13420866 13978140\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":3: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Contagem de valores nulos em cada coluna\n", + "\n", + "nulos_por_coluna1 = df_1.isnull().sum()\n", + "print(nulos_por_coluna1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4MuBo8vKgg6H", + "outputId": "fb8026ac-ee5a-4578-d1c6-371b1a1592a6", + "collapsed": true + }, + "execution_count": 261, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Municípios 0\n", + "2019 0\n", + "2020 0\n", + "2021 0\n", + "2022 0\n", + "dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Remove linhas duplicadas\n", + "\n", + "df_sem_duplicatas1 = df_1.drop_duplicates()\n", + "print(df_sem_duplicatas1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "1ugZRlahiJ9B", + "outputId": "447a8413-4f9f-476b-a75e-e81aef9ca743", + "collapsed": true + }, + "execution_count": 262, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios 2019 2020 2021 2022\n", + "0 São Desidério (BA) 2024107 3091203 3159579 2729422\n", + "1 Formosa do Rio Preto (BA) 4220327 3073766 2299737 2432263\n", + "2 Jaborandi (BA) 1706967 1744004 2051920 1734316\n", + "3 Correntina (BA) 1545572 1060525 1585476 1473135\n", + "4 Barreiras (BA) 1568927 1179766 958306 996163\n", + "5 Riachão das Neves (BA) 580173 1085054 761963 670183\n", + "6 Santa Rita de Cássia (BA) 694797 859509 998700 569631\n", + "7 Jequié (BA) 249169 186265 163926 498001\n", + "8 Encruzilhada (BA) 403895 451620 587315 414662\n", + "9 Baianópolis (BA) 607436 790814 1700892 413632\n", + "10 Valença (BA) 247673 427637 195332 378871\n", + "11 Cocos (BA) 959394 1218387 1229644 367625\n", + "12 Belmonte (BA) 390403 350558 331485 354868\n", + "13 Luís Eduardo Magalhães (BA) 800435 1523413 654262 343098\n", + "14 Barra (BA) 226011 139778 79058 312169\n", + "15 Cotegipe (BA) 331163 559960 292547 297663\n", + "16 Ibirapitanga (BA) 86205 296362 72436 292758\n", + "17 Itagibá (BA) 121675 72102 111453 288483\n", + "18 Itapetinga (BA) 57074 46135 20727 285382\n", + "19 Iguaí (BA) 82227 127471 155962 277970\n", + "20 Maraú (BA) 80207 170126 103211 275953\n", + "21 Ibicuí (BA) 16963 35239 27800 245755\n", + "22 Guaratinga (BA) 211708 251656 171742 243882\n", + "23 Nilo Peçanha (BA) 90276 154625 59568 238334\n", + "24 Camamu (BA) 221471 434741 163548 232571\n", + "25 Itambé (BA) 100107 144429 65263 227632\n", + "26 Dário Meira (BA) 94401 92504 101797 217077\n", + "27 Igrapiúna (BA) 257694 378236 148621 210971\n", + "28 Ilhéus (BA) 158872 191205 131715 209209\n", + "29 Itarantim (BA) 38472 60319 10405 203154\n", + "30 Outros 15546451 13047762 13420866 13978140\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + " # fazer se quiser conferir os dados\n", + "\n", + "# Calcular o total da coluna\n", + "\n", + "valor_total = df_1['2019'].sum()\n", + "print(\"O valor total da coluna é:\", valor_total)\n", + "\n", + "valor_total = df_1['2020'].sum()\n", + "print(\"O valor total da coluna é:\", valor_total)\n", + "\n", + "valor_total = df_1['2021'].sum()\n", + "print(\"O valor total da coluna é:\", valor_total)\n", + "\n", + "valor_total = df_1['2022'].sum()\n", + "print(\"O valor total da coluna é:\", valor_total)\n", + "\n", + "\n", + "df_1.info()" + ], + "metadata": { + "id": "ONOhelsVZ1g8", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "baaec0f5-adc3-4024-a006-b53aa0cba74a", + "collapsed": true + }, + "execution_count": 266, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "O valor total da coluna é: 33720252\n", + "O valor total da coluna é: 33245171\n", + "O valor total da coluna é: 31815256\n", + "O valor total da coluna é: 31412973\n", + "\n", + "RangeIndex: 31 entries, 0 to 30\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Municípios 31 non-null object\n", + " 1 2019 31 non-null int64 \n", + " 2 2020 31 non-null int64 \n", + " 3 2021 31 non-null int64 \n", + " 4 2022 31 non-null int64 \n", + "dtypes: int64(4), object(1)\n", + "memory usage: 1.3+ KB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Transformar os dados para um formato longo (melt), os 4 anos para uma coluna\n", + "\n", + "df_sem_duplicatas1 = pd.melt(df_1, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido')\n", + "\n", + "print(df_sem_duplicatas1)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LZkN9n9JkTVG", + "outputId": "577238d9-26d7-4938-9a84-a6ecffc5eb6d", + "collapsed": true + }, + "execution_count": 267, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 São Desidério (BA) 2019 2024107\n", + "1 Formosa do Rio Preto (BA) 2019 4220327\n", + "2 Jaborandi (BA) 2019 1706967\n", + "3 Correntina (BA) 2019 1545572\n", + "4 Barreiras (BA) 2019 1568927\n", + ".. ... ... ...\n", + "119 Dário Meira (BA) 2022 217077\n", + "120 Igrapiúna (BA) 2022 210971\n", + "121 Ilhéus (BA) 2022 209209\n", + "122 Itarantim (BA) 2022 203154\n", + "123 Outros 2022 13978140\n", + "\n", + "[124 rows x 3 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# fazer somente para conferir os dados\n", + "\n", + "\n", + "df1_MUN = df_sem_duplicatas1.groupby('Municípios')['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df1_MUN.head())\n", + "\n", + "df1_ANO = df_sem_duplicatas1.groupby('Ano')['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df1_ANO.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "-Z0j0G6bh_kP", + "outputId": "a2f57c1f-718c-4374-cf1e-8864f5d54ff0" + }, + "execution_count": 268, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios CO2_emitido\n", + "0 Baianópolis (BA) 3512774\n", + "1 Barra (BA) 757016\n", + "2 Barreiras (BA) 4703162\n", + "3 Belmonte (BA) 1427314\n", + "4 Camamu (BA) 1052331\n", + " Ano CO2_emitido\n", + "0 2019 33720252\n", + "1 2020 33245171\n", + "2 2021 31815256\n", + "3 2022 31412973\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# conhecendo o dado\n", + "\n", + "# Conta os códigos únicos de municípios\n", + "num_municipios = df_sem_duplicatas1['Municípios'].nunique()\n", + "\n", + "print(f\"Existem {num_municipios} municípios únicos no arquivo CSV.\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "QPuTywSvfD-z", + "outputId": "9416dafa-b48c-46c7-ee12-88cb2d0e2107" + }, + "execution_count": 272, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Existem 31 municípios únicos no arquivo CSV.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# conhecendo o dado\n", + "\n", + "# Obtém os códigos únicos de municípios\n", + "municipios_unicos = df_sem_duplicatas1['Municípios'].unique()\n", + "\n", + "# Exibe os códigos dos municípios únicos\n", + "print(municipios_unicos)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "V_x5uEDtfmmz", + "outputId": "f6ebb52f-01fd-43d2-e920-ef6a530a1fa3" + }, + "execution_count": 273, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "['São Desidério (BA)' 'Formosa do Rio Preto (BA)' 'Jaborandi (BA)'\n", + " 'Correntina (BA)' 'Barreiras (BA)' 'Riachão das Neves (BA)'\n", + " 'Santa Rita de Cássia (BA)' 'Jequié (BA)' 'Encruzilhada (BA)'\n", + " 'Baianópolis (BA)' 'Valença (BA)' 'Cocos (BA)' 'Belmonte (BA)'\n", + " 'Luís Eduardo Magalhães (BA)' 'Barra (BA)' 'Cotegipe (BA)'\n", + " 'Ibirapitanga (BA)' 'Itagibá (BA)' 'Itapetinga (BA)' 'Iguaí (BA)'\n", + " 'Maraú (BA)' 'Ibicuí (BA)' 'Guaratinga (BA)' 'Nilo Peçanha (BA)'\n", + " 'Camamu (BA)' 'Itambé (BA)' 'Dário Meira (BA)' 'Igrapiúna (BA)'\n", + " 'Ilhéus (BA)' 'Itarantim (BA)' 'Outros']\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Verificar se 'OUTROS' está presente nos dados\n", + "outros_presentes = df_sem_duplicatas1[df_sem_duplicatas1['Municípios'].str.contains('OUTROS', case=False, na=False)]\n", + "print(\"Linhas com 'OUTROS' \")\n", + "print(outros_presentes)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "gFwAuiaIoSZS", + "outputId": "46b0570b-b598-486e-cb4d-18289612b558", + "collapsed": true + }, + "execution_count": 274, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Linhas com 'OUTROS' \n", + " Municípios Ano CO2_emitido\n", + "30 Outros 2019 15546451\n", + "61 Outros 2020 13047762\n", + "92 Outros 2021 13420866\n", + "123 Outros 2022 13978140\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Salvando o arquivo final em um novo CSV\n", + "\n", + "df_sem_duplicatas1.to_csv('co2.csv', index=False, encoding='utf-8')\n", + "\n", + "print(df_sem_duplicatas1)\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "rAUV5SOqQPex", + "outputId": "d2790975-0d93-4596-97b6-2504b346a905", + "collapsed": true + }, + "execution_count": 275, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 São Desidério (BA) 2019 2024107\n", + "1 Formosa do Rio Preto (BA) 2019 4220327\n", + "2 Jaborandi (BA) 2019 1706967\n", + "3 Correntina (BA) 2019 1545572\n", + "4 Barreiras (BA) 2019 1568927\n", + ".. ... ... ...\n", + "119 Dário Meira (BA) 2022 217077\n", + "120 Igrapiúna (BA) 2022 210971\n", + "121 Ilhéus (BA) 2022 209209\n", + "122 Itarantim (BA) 2022 203154\n", + "123 Outros 2022 13978140\n", + "\n", + "[124 rows x 3 columns]\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Visualização dados CO2**" + ], + "metadata": { + "id": "RrlcdcwhzLDa" + } + }, + { + "cell_type": "code", + "source": [ + "# Importar bibliotecas necessárias\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Carregar os dados integrados\n", + "df_co2 = pd.read_csv('co2.csv')\n", + "\n", + "# Exibir as primeiras linhas do DataFrame para verificar se os dados foram carregados corretamente\n", + "print(df_co2.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "URZM1F1GzKtV", + "outputId": "361a7919-7c71-4935-c9e2-ed8148637f13", + "collapsed": true + }, + "execution_count": 276, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 São Desidério (BA) 2019 2024107\n", + "1 Formosa do Rio Preto (BA) 2019 4220327\n", + "2 Jaborandi (BA) 2019 1706967\n", + "3 Correntina (BA) 2019 1545572\n", + "4 Barreiras (BA) 2019 1568927\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# conferindo os dados\n", + "\n", + "df_MUN = df_co2.groupby('Municípios')['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df_MUN.head())\n", + "\n", + "df_ANO = df_co2.groupby('Ano')['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df_ANO.head())\n", + "\n", + "\n", + "# Somar os valores da coluna AREAHA\n", + "total_co2 = df_co2['CO2_emitido'].sum()\n", + "\n", + "print(f'Total : {total_co2:.2f}')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "-69nt2I0zQ21", + "outputId": "40172c14-a775-4851-93b8-ca7777efc99a", + "collapsed": true + }, + "execution_count": 277, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios CO2_emitido\n", + "0 Baianópolis (BA) 3512774\n", + "1 Barra (BA) 757016\n", + "2 Barreiras (BA) 4703162\n", + "3 Belmonte (BA) 1427314\n", + "4 Camamu (BA) 1052331\n", + " Ano CO2_emitido\n", + "0 2019 33720252\n", + "1 2020 33245171\n", + "2 2021 31815256\n", + "3 2022 31412973\n", + "Total : 130193652.00\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Definir o estilo para os gráficos\n", + "sns.set(style=\"whitegrid\")\n" + ], + "metadata": { + "id": "pWKiceDozRKO" + }, + "execution_count": 278, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Agrupar os dados por ano e somar as emissões\n", + "grouped = df_co2.groupby('Ano')['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Criar o gráfico de barras para CO₂ emitido\n", + "plt.figure(figsize=(10, 6))\n", + "\n", + "# Definir uma paleta de cores distinta\n", + "colors = sns.color_palette(\"husl\", len(grouped['Ano'].unique()))\n", + "\n", + "# Criar o gráfico de barras, utilizando as cores definidas\n", + "sns.barplot(x='Ano', y='CO2_emitido', data=grouped, palette=colors, errorbar=None)\n", + "\n", + "plt.title('CO₂ emitido por Ano na Bahia', fontsize=16)\n", + "plt.xlabel('Ano', fontsize=12)\n", + "plt.ylabel('Emissões de CO₂ (ton)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.tight_layout() # Ajusta o layout para evitar sobreposição\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 688 + }, + "id": "koCDM0wRD7wi", + "outputId": "b73700d0-62f6-4851-9c97-f52f186f630c", + "collapsed": true + }, + "execution_count": 279, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":11: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='Ano', y='CO2_emitido', data=grouped, palette=colors, errorbar=None)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(df_co2)\n", + "print(df_co2['CO2_emitido'].isnull().sum()) # Checar valores ausentes\n", + "print(df_co2['CO2_emitido'].dtype) # Verificar o tipo de dados\n", + "print(df_co2['Municípios'].nunique()) # Número de municípios únicos\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "5vbj_fIx0NOW", + "outputId": "0372997c-cf99-4a55-a192-65d06c34ac0e", + "collapsed": true + }, + "execution_count": 280, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Municípios Ano CO2_emitido\n", + "0 São Desidério (BA) 2019 2024107\n", + "1 Formosa do Rio Preto (BA) 2019 4220327\n", + "2 Jaborandi (BA) 2019 1706967\n", + "3 Correntina (BA) 2019 1545572\n", + "4 Barreiras (BA) 2019 1568927\n", + ".. ... ... ...\n", + "119 Dário Meira (BA) 2022 217077\n", + "120 Igrapiúna (BA) 2022 210971\n", + "121 Ilhéus (BA) 2022 209209\n", + "122 Itarantim (BA) 2022 203154\n", + "123 Outros 2022 13978140\n", + "\n", + "[124 rows x 3 columns]\n", + "0\n", + "int64\n", + "31\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Filtrar para remover os municípios classificados como 'outros'\n", + "df_co2 = df_co2[df_co2['Municípios'] != 'Outros']\n", + "\n", + "# Agrupar por ano e município, somando as emissões\n", + "grouped = df_co2.groupby(['Ano', 'Municípios'])['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Filtrar para remover municípios com emissão zero\n", + "grouped = grouped[grouped['CO2_emitido'] > 0]\n", + "\n", + "# Criar gráficos para cada ano\n", + "years = grouped['Ano'].unique() # Obter anos únicos\n", + "\n", + "plt.figure(figsize=(12, 10))\n", + "\n", + "# Definir uma paleta de cores distinta\n", + "colors = sns.color_palette(\"husl\", len(years))\n", + "\n", + "for i, year in enumerate(years):\n", + " # Filtrar os 10 maiores municípios para cada ano\n", + " top_10_municipios = grouped[grouped['Ano'] == year].nlargest(10, 'CO2_emitido')\n", + "\n", + " # Criar um subgráfico\n", + " plt.subplot(len(years), 1, i + 1)\n", + "\n", + " # Criar o gráfico de barras\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + " palette=[colors[i]], dodge=False)\n", + "\n", + " plt.title(f'Top 10 Municípios com Mais Emissões de CO₂ em {year}', fontsize=14)\n", + " plt.xlabel('Emissões de CO₂ (ton)', fontsize=12)\n", + " plt.ylabel('Município', fontsize=12)\n", + " plt.xticks(rotation=45)\n", + "\n", + " # Adicionar a legenda específica para cada gráfico\n", + " handles = [plt.Line2D([0], [0], color=colors[i], lw=4)]\n", + " plt.legend(handles, [year], title='Ano', frameon=False)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "-FpXsxt10NBG", + "outputId": "9c3bc763-c698-4d12-f107-7769eb3eae25", + "collapsed": true + }, + "execution_count": 281, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":26: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n", + ":26: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios,\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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27OXLl6q/P3nyhNmzZ1OgQAF27NhBkSJFgJT3aI8ePTh8+DB79uzRCCxeuHCB77//nu7duwMpX1z79evH8ePHGTBgAHPmzFHlPVEGifz9/Rk5ciQWFhYZugZI+ULeokULtmzZQmhoKAULFgRSvtTb2Nhgb2+v9TxTU1OOHTumkXvr7t27dOzYkXnz5rF69eo0+z548CCRkZFq16n07t07tS+96Tl9+rQqGf/HmjZtqpE4+eTJkyxevFjjHgYGBvLnn3+yYcMG1bUPHjyYRo0asX79evr166eRUPlzrunMmTOEhITQvXt3vv/+e7V6f//9t1ofn/q5uHjxYs6fP4+Pjw9DhgxRBQmio6Pp3r0706dPp2HDhhQqVIg7d+5w9epVGjRooJG8PD4+PkOzR5Uzc8qXL8/mzZsxNjYGoH///rRq1UrrOaNHjyY0NJQVK1aogvUAAwYMoF27dhn6uX/27BkvX76kcOHCn5RfLygoCABXV9c06+np6VGtWjUCAwMJCgpSyxf1ObZt20ZgYCBt27Zl8uTJqmes3Ixh1apVNGvWjEqVKqmdd+nSJXbt2qXaxKJXr140bNiQGTNmUKBAAQICAjA3NwdSkut37NiRlStXauRq+hTXrl3j7t27VK5cmXz58qnKlf+mpXa/S5UqxcOHD3n+/Pknbbrxofz58/P48WNCQkIoW7as2jHljNdHjx59VttCfG1k5pMQQgjxGeLj49m7dy9mZmYMGDBA7Zi7uzu1atXi8ePHXL58WePcb7/9VhV4gpQv1MOGDQNg165dWT5W5ZKYvHnzaj2uLP946UxGKH97ffjwYSBlSdu7d+9o3779Z442dcWKFaN3795qZcp+rl+/nu75mzZtAuCHH37QSLqsr6+f4SBIvnz56N+/v1pZ7dq1qVGjBnfu3NG6/O5Dymc8aNAgVeAJUgIkyoT2H8/sMTAw0BrcyEjy6GvXrnHjxg2qVq2qEXgC1N6LAQEBJCYm4u3trQo8Qcp7dNSoUWrj/1CJEiXUEs/r6OjQtGlTICWB9ocJdw0MDPD09CQxMZF79+6lO/6PtWvXjsTERNU4rl69yt27d1Od9aQcv7ak7+XKlaN69epcuHAhw8tetS3HMTMzy9jg/9+ZM2dYtGiR1j8PHz7UqF+9enWt91ChUFCvXj21oFvevHmpW7cu7969UwssZsU1aauXJ08e1SydT/1cTE5OZvPmzZQoUUIt8KS8joEDB5KQkKAxw0/bOAwNDcmTJ0+616pc5jVw4EBV4AmgUKFCWjdPuHXrFkFBQbRu3Vot8ARgbW1Nx44duXPnTrrL75QzZD78ecuI0NBQALWfx9Qo6yjP+fPPP2nfvj0tWrSgfv36eHt7a12mrM2GDRswNjZm4sSJasFFQ0NDhg8fDsDevXs1zvPy8lIL5BQpUgRnZ2eioqIYMGCAKvAEUKVKFYoXL56p3VCjoqIYM2YMurq6fPfddxrHALXP2Q8p3y+f82+fkvI9sXjxYrUZVE+fPlV9jkdGRn52+0J8TWTmkxBCCPEZHjx4QFxcHNWrV8fIyEjjePXq1Tl16hTBwcGqGSxKH78GcHR0RF9fX2v+mZysbt26qlkyTZs2ZceOHRQoUIC6detmeV8VKlTQmEWm/CKXkf+5v3btGoaGhlSrVi3T49D2JdfFxYUzZ84QHBysMRvgQ8HBwUDKe+RjyrIPvyA2bdqUWbNm0bx5c5o3b46rqyvOzs6pBhM/plxSVqtWrXTrpjU2R0dHcuXKpfXLq62trcayFuXMN227tymPvX79Ot0xfczOzo4KFSqoZrvt2LEDAwMDWrZsmeZ5wcHBrFixgkuXLvHmzRuNYNPbt2/TnK1Xr1495s6dy+TJkzlz5gy1a9emWrVqnzVj4uMZfOlJ6x5qO6acEfb69es0x5fRa6patSoFCxbk119/5fbt29StW5dq1apRpkwZtef+qZ+LDx8+JCIiAktLSxYtWqRRX7mc78GDBwCUKVMGW1tbAgMDefnyJQ0aNKBatWpaPxtSowx0aPsc1lZ25coVICXn08f5sj4c24MHD7CxscnQGP4pFhYWzJs3j+LFi5OQkMCwYcPo168fx44d0/h5/dD79++5c+cOlpaW+Pn5aRxX5hNTXvuH0no/li9fXuuxjCx71SY2NpaBAwfy4MEDhg8frvVzK7v16NGD33//nX379vHgwQNcXV2JjIzk4MGDWFlZ8ddff2X4vSnE106CT0IIIcRniI6OBkh1tozyf7aV9T6kbbtxPT09zMzMMvUb2NQof+urbSwflqf22+G0KL/0r127lsuXL3P69Gl69OjxSUuQMkpbsEXZT3JycrrnR0dHU6hQoUx/EUjtmSufa3rPMDo6Gl1dXbUZAB+2raOjo/asevXqhZmZGZs3b2b16tWsWrUKfX193N3dGTduXLrBD+V4tM380Ta2D6/lQzo6OlhYWPDq1SuNY9qejXKJZ1rHPk6KnVHt2rVjypQpnD59mr179+Lh4aH1fipdvnxZtaysVq1alCpVCmNjY3R0dDh8+DC3b98mPj4+zT6LFSvG1q1bWbRoEcePH+f3338HoHTp0gwZMoQmTZp81rVkxKfeX+XPRXr3N6PXZGJiwm+//cbChQv5448/OH78OJAyq6VPnz507doV+PTPReVS17t373L37t1Ux/n+/XvVda1du5ZFixZx4MABpk+fDoC5uTldu3ZlwIAB6W7CEBUVha6urtZZg9re9xEREUBKUvdjx46lO8bUKO+Jtp+ftCjv2YsXL9Ktq6yjLdhjYGBAlSpVOHLkCNHR0Wl+3kdGRqJQKHj16pXWoKCStk0D0no/pnbscz4H4uLi8PHx4dy5c/Tr109jNir879+01D6T//77b7V6nyNv3rxs3ryZxYsXc+jQITZu3Ii5uTmdO3emXr16dO3aVev7Soj/Igk+CSGEEJ9B+T/RqSW6VpZr+5/tsLAwSpcurVaWlJTEu3fvsuV/Uo2NjSlYsCAhISEkJSVpfDlT5sX43Bwh7du3Z/Xq1QwbNozk5OR0l9wpf+OuLclrdgTflExMTAgNDSU5OTlTAajUnnlYWJiqn7TkzZuX5ORkwsPDNZ53WFgYCoVC7X2jo6ND+/btad++PW/fvuXSpUsEBgby+++/8/jxY/z9/dP8wq3MgZKRL73KfsPCwrCyslI7plAoePPmTYZnXGWnFi1aMHPmTMaOHUt0dHSaS+4Ali1bRnx8PBs3btSY3aKc2ZIRNjY2LFy4kISEBG7evMmJEydYv349w4cPx9LSEmdn58+5nC8qo9dUtGhRpk+fTnJyMn/99Rd//vkn69evZ/LkyZiamtK8efNP/lxU/tfT05OFCxdmaLz58+dnwoQJjB8/ngcPHnD27FnWr1+Pr68vBgYG9OvXL83zTUxMSE5O5u3btxoBS+XP8IeUY5wwYQLdunXL0Bi1sbKyolChQrx48YJHjx5lOO+To6MjkH7S6qSkJFXibuU5HwoPD2fdunU0atQo3c8o5czOihUrproD55cUGxuLj48Pp06donfv3mq5xT6k/DcttZxLjx49wsDAIENLGtOSL18+xo0bx7hx49TKlfcurZmwQvyXyBxAIYQQ4jOULl2aXLlycf36da2/8T537hygfQmCtl3wgoKCSExM1LqNdFaoVq0aMTExWnNQnTx5EuCzE76WLVuWKlWq8OrVKxwcHDSSJX/M1NQU0B4MUS77yg729vbEx8d/8q5+HwsODlb9xvxDyueq7Zl/SHlc+R75kHJs2panQMoX7wYNGjB//nxcXV25d+9euoniK1euDMCpU6fSrJfe2K5evUpcXFyqY/snmZmZ0aBBA169ekWhQoU0cvF87MmTJ5iZmWkEnt6/f/9ZS10NDAxwcHBgyJAh/PDDDygUijRnxfwbZPSadHV1qVChAn369GHu3LkAHD16FPj0z8UyZcqQN29ebty4keGcW0o6OjqUKVOGrl27qpLFK8eRFltbW0D757C2sipVqgD/S/ydGcrA/NKlS9Otq5yJV716daysrLhy5QpnzpxJtf7OnTt59eoVLi4uGr9IiIuLY+DAgeTJk4dJkyal23fevHkpU6YMDx48yHH5ij4MPPXs2VMjz9OHHBwcMDAw4PTp0xq7dD579oyHDx/i5OSULTN1AVUSemX+OyH+6yT4JIQQQnwGQ0NDmjVrxtu3bzW2qj9x4gR//vknJUuWxMnJSePcdevWqSUCjo+PZ/78+UDK7j/ZQZloesGCBWrLi44fP8758+dxc3PTmOnyKX755RcWL16c6lblH1IGQ3bv3q22XC4oKCjdHaMyQ7k0aOrUqRo72yUmJqY6W+NjkZGRGtvYnzx5kjNnzmBjY5Pub7mVz3jx4sVqy+uioqJUS1w+fB+cO3dO44tTQkKCajlQrly50uzP3t6eypUrc+HCBX777TeN4x8GAVu0aIG+vj5r1qxRK4+Pj2f27NkaY/uSRo4cyeLFi1m8eHG6M9msrKyIiIhQW9qVlJTEjBkzVHmF0nPjxg2tS1eVs2XSew45UUav6e7du1p/PpRlynqf+rmor69Ply5dePbsGTNmzNAagLpz545qPCEhIaodxLSNQ5n4PC3KHe0WL16stmzs1atXrFu3TqO+vb09VapUYe/evezbt0/jeHJycoYD2j179sTa2prdu3czd+5crUs9nz59io+PD/fv3wdS7pFyh8ERI0Zw9epVjXOOHTvG1KlTMTQ01NiNULk8LTw8nNWrV2dokwJISRz+/v17xo8fr3V53dOnT7U+i+ykvJZTp07h7e3NmDFj0qyfN29emjVrxtOnT9myZYuqXKFQqAKn2jZh+FTafobWrFnD6dOnadiwYaq7cArxXyPL7oQQQojP9N1333HhwgWWLl1KUFAQVapU4dmzZ+zfvx8jIyN++eUXrV+Kq1SpQqtWrWjSpAlGRkb88ccfPHz4kEaNGuHp6Zmhvi9evMj27duB/yXlvXTpEmPHjgVSZsh8+D/mrq6udOjQgW3bttG2bVvc3d0JDQ1l3759mJmZMX78+Ezdi7Jly2psM50aBwcHnJycOHv2LJ06dcLFxYXnz59z5MgR6tWrp7GzVVZxd3enZ8+erFq1Ck9PTxo0aECBAgV49eoVZ86coWfPnvTo0SPddlxcXNi8eTNXr17FwcFB9cxz587NlClT0j2/atWqeHl5sX79epo3b06jRo1QKBQcPHiQly9f4uXlpTYLbeDAgeTNm5cqVapQtGhREhMTOX36NPfu3cPT0zNDQcPZs2fj5eXFhAkT2LNnDw4ODsTFxXHv3j2Cg4NVM1JKlCjBqFGjmD59Oi1bttR4j9avXz/V7ej/acWKFaNYsWIZqtutWzf+/PNPvvnmG5o0aYKhoSHnz5/n1atXVKtWLUPBgz179rB161aqVq1K8eLFyZs3L/fu3ePEiROYmZnRtm3bDI/99OnTxMXFaT1mYWFBly5dMtxWZmT0mk6dOsWsWbNwcnKiVKlSmJmZ8fTpU44ePUquXLn45ptvVG1+6ufikCFDuHXrFuvXr+f48eO4uLiofi7v3LnD7du32bp1KwUKFOD27dsMGjQIe3t7ypQpQ8GCBXn16hWHDx9GV1c3Qz+/rq6utG3blp07d9KiRQsaNmxIfHw8+/btw8HBgT/++EPjnDlz5tC9e3eGDx/O2rVrsbOzI3fu3Dx//pwrV64QHh6eoR038+bNy8qVK/Hx8WH58uXs3LmTWrVqUbhwYd6/f09wcDCXL19GT09P7fO7QYMGTJ48mcmTJ9O5c2dcXV2pUKECCoWCK1eucPnyZYyNjfH19aVixYqq85QJud++fcumTZs+aVl3586duXr1Krt27eLy5cvUrFkTS0tLwsLCePDgAVevXmXOnDkZ/hnMChMnTuTUqVMULFiQPHnyaE0A36ZNG7UxjRw5knPnzjFp0iTOnDlDiRIluHDhAleuXKFevXo0a9ZM7fzw8HBmzpypep2YmMjbt29V/7YCjB49Wm3JZu3atalevTqlSpVCR0eHc+fOcfPmTSpVqpShX8gI8V8hwSchhBDiM5mbm/Pbb7+xZMkSjh49yqVLl8ibNy/169dn0KBBqe589MMPP/D777+zfft2nj9/jqWlJYMHD/6k3a+ePHmiseX9kydPePLkCZAy0+Pj3wpPnjwZGxsbfvvtN9atW4exsTENGzZk+PDhlChR4hOvPnOWLFnC9OnTOXbsGHfu3KF8+fIsW7aM169fZ1vwCWDMmDE4OjqyYcMGDhw4QFxcHAULFsTV1TVDu8EBFC9enJ9++olZs2axceNGkpOTqVatGiNHjsxwbo/x48dToUIFNm/erJqNVLZsWYYMGaKRv2jEiBGcPHmS69ev88cff2BkZESJEiX46aef0s2vpVSqVCl27drF8uXL+eOPP1i7di158uShZMmSDBgwQK2ut7c3JUqUYM2aNfj7+5OQkECpUqUYO3YsXl5eae6SlVPVq1ePhQsXsnz5cvz9/cmdOzeurq6qmVMZ0bx5c+Li4ggKCuLatWvEx8dTuHBhunTpQq9evShatGiGx3PmzJlUl1CVL1/+Hws+ZfSaateuzbNnz7h48SIHDx4kJiaGQoUK0bRpU3r37q0WeP7Uz0VDQ0P8/PzYvn07u3fv5uDBg8THx2NhYUGZMmXo3Lmz6pxKlSrRp08fzp8/z/Hjx4mMjKRgwYLUrFmTXr164eDgkKHrnjJlCtbW1vz2229s2LCBwoUL4+3tTZMmTbQGn4oXL86uXbtYvXo1R44cYefOnejq6mJpaYmLiwuNGzfO8D23srJi+/bt+Pv78/vvv/Pnn38SERGBoaEhpUqVonfv3nTu3FkjD1GnTp2oVq0aa9eu5cyZM1y+fBkdHR2srKxUgfOPNxVYu3atarZZz5491a5fOQM1NTo6OkyfPp06deqwbds2jh07RkxMDObm5pQsWZIxY8ZQo0aNDF93Vnj27BkAoaGhqSZCr1atmlrwydLSkt9++4358+dz/Phxjh49ipWVFUOHDqV3794an2cxMTEa/7Z+XDZo0CC14FPLli05d+4cZ8+eRUdHh1KlSjF69Gi8vLwyNBtPiP8KHcXH87iFEEIIkS3Gjh3Lrl27OHLkyD/622KRNUJCQqhfvz5t2rRR7bIlhBBCCCHSJzmfhBBCCCGEEEIIIUS2keCTEEIIIYQQQgghhMg2EnwSQgghhBBCCCGEENlGcj4JIYQQQgghhBBCiGwjM5+EEEIIIYQQQgghRLaR4JMQQgghhBBCCCGEyDb6X3oAQoh/n6CgIBQKBQYGBl96KEIIIYQQQgghvpCEhAR0dHRwdHRMs57MfBJCfDKFQqH6I3IOhUJBQkKCPJccRJ5JziTPJWeS55IzyXPJmeS55EzyXHImeS7ZK6PfC/8zM598fX1ZtGiRRnm5cuUIDAz8AiPK2Vq1akWFChWYPn16pto5d+4c3377req1kZERxYsXp3379nTr1g09PT3VMS8vL4yNjVm+fHmm+gwJCaF+/fqq17ly5aJ48eK0adOG7t27Z8lsnZ07d2JgYECLFi0y3daHhgwZgpWVFWPGjAE037eGhoYUK1aMtm3b0qtXL3R1NePHhw4dYtCgQbi6urJ27VqN497e3lSrVo0BAwZ89jiV97By5cqf3YYQQgghhBBCCO0UycnoaPm+l9Ncv349Q/X+M8EngNy5c2t8Gc+dO/cXGs1/y7Rp0yhdujRRUVHs3r2bX375hbi4OPr27auqM3HiRK3BlM81YsQIqlevTkxMDAcPHmTWrFlEREQwcuTITLe9a9cujI2NszT4dPPmTf744w8OHz6sVv7h+zY2NpZz584xZ84cFAqF2v1TCggIAOD8+fO8evWKQoUKqR3v168fgwcP5ptvvsHU1DRTY3678yCJb95mqg0hhBBCCCGEEP+jb5Gf/G0bfelhZKn/VPBJV1cXBweHLG0zNjZWAlgZUK5cOdUsmVq1anHr1i127NihFjwpW7ZslvZZsmRJ1fOuWbMmDx8+ZMOGDakGn770s1y3bh1ubm4awaKP37eurq7cuXOHgwcPagSfoqOjOXbsGDVr1uT06dPs27cPb29vtTqurq7ky5ePXbt20aNHj0yNOfHNWxJfhmaqDSGEEEIIIYQQX7ecP4frH/TXX3/Rq1cvHBwccHZ2ZsiQITx//lytjq2tLb/++iuzZs2iVq1a1KhRAwAPDw8mT57MmjVrcHd3x9HRkbFjxxIfH09wcDCdO3fGwcGB9u3b89dff6m1GRcXx7Rp03Bzc6Ny5cq0atWKQ4cOqdW5e/cuffr0oXr16lSpUgVPT0/8/PxUx4OCgujfvz9ubm44ODjQqlUrdu/enaHrvnz5Mm3btqVy5co0b96c48ePa6138OBBWrVqReXKlXFzc2PatGnExcVlqI8P6erqYmtry4sXL9TKvby86Nevn1rZhQsX6Ny5M/b29lSvXp1x48bx7t27T+4ToFKlSsTExBAeHs65c+ewtbXl2LFjDBkyBCcnJ4YOHQpAZGQkP/30E25ublSqVIm2bdvy559/qo3z/PnzHDt2DFtbW2xtbfH19VUd37JlC56enlSqVAkPDw+WLFlCcnJymmNTzs7y9PTM0LXkyZOHxMREjfKDBw8SFxfHoEGDqFixomoW1McaN26c4feHEEIIIYQQQgiRGf+pmU+Axhd2PT09dHR0ePHiBd26daN48eLMmjWLuLg45s2bR7du3fD39ydv3ryqc9atW0eVKlWYOnWqWntHjhyhXLlyTJ48madPnzJ9+nQMDAy4cuUKPXr0wMLCgtmzZzN06FD27dunWmI2atQoTp48ybBhwyhdujR79uxh8ODBLF68WJW7qH///lhYWDB16lTy5s3LkydPePnyparv58+f4+TkRJcuXTA0NOTy5cuMHz8ehUJBmzZtUr0foaGh9OrVC1tbW+bPn09kZCSTJk0iJiaGChUqqF3bkCFDaNasGSNHjuTBgwfMmzePFy9esHDhwk9+Ds+fP6dYsWJp1rlx4wbe3t5Ur16dBQsW8ObNG+bMmcO9e/fYsmWLWr6ojAgJCcHQ0BAzMzNV2YQJE2jZsiWLFy9GV1eX+Ph4vL29CQsLY9iwYRQqVAh/f3/69evHzp07sbW1ZeLEiXz33Xfkzp1blZupcOHCAKxfv54pU6bg5eVF3bp1CQoKYtGiRURFRanqanPlyhViYmJwdnbWelz5PlMuuzt48KBGoA5SltxZWVnh5OREixYtmD59Og8ePKB06dJq9RwdHVmxYgXh4eGYm5t/0n0UQgghhBBCCCE+xX8q+BQTE0PFihXVymbOnEmrVq1Ys2YNiYmJrFq1ShWcqFChAs2aNWPXrl14eXmpzjE1NWXRokXo6Oho9LFkyRIMDQ2BlJw7v/32G35+ftSpUweA5ORk+vfvz507dyhfvjy3b9/m4MGDTJo0ic6dOwNQp04dnj17pgo+hYeHExISwg8//ICHhweQsnTqQ82aNVP9XaFQULVqVV69esXWrVvTDD6tXbsWHR0d/Pz8MDExAVICKR8vx1q0aBEODg7MmTNHNUYjIyN+/PFH/vrrL2xtbVPtQ3ndiYmJREVFsXPnTq5du8bcuXPTPGfZsmUULFiQZcuWqRJcFylShF69enH8+HHVvUivz/fv33PgwAEOHTpEkyZN1PJKeXh48N1336le79ixg9u3b7Nnzx7VMsDatWvz+PFjlixZwoIFCyhbtix58+bF2NhYbTlcUlISixcvplmzZowfPx4ANzc3EhISWLVqFX379iV//vxax3r9+nWMjY0pXry4xjFt79umTZtqLLkLDQ3l3Llz9OrVCx0dHZo2bcrMmTMJCAhQzepSKl++PADXrl2jbt26ad5HIYQQQgghhBAiM/5TwafcuXOzYcMGtTLll/2LFy9SvXp1tVkxZcqUoXz58ly6dEkt+FSnTh2tgaeqVauqAk8ApUqVQldXVy1QVKpUKQBevHihahtSlkF9qEmTJkybNo2YmBjy58+PlZUVc+fOJSIigho1aqhm2ihFRETg6+vLkSNHePXqFUlJSQBq16PN1atXqV69uirwBFCjRg218/7++2+Cg4M1Zu40bdqUH3/8kUuXLqUbfOrYsaPa6759+9K0adM0z7l48SLNmzdX253Ozc2NfPnycenSpXSDT8OHD1f9XUdHh8aNG6uCQkofB15OnTqFjY0NpUqVUpvVVrNmTfz9/dPs78GDB7x9+1bjWTZt2pTly5dz7do13N3dtZ4bGhqaamDqw/dtfHw8N2/eZOHChYwfP55p06ap6u3bt4+kpCSaN28OQKFChahatSqBgYEawSdlX6Ghkq9JCCGEEEIIIUT2+k8Fn3R1dVPdGj4yMlJtmZlSgQIFiIiI0CjTJl++fGqvDQwMyJ07t1pAShlIUeZKioiIwMDAQCNIZGFhgUKhICoqCmNjY1auXMm8efOYPHmyaibMuHHjqFq1KgBjx44lKCiIgQMHqmbmbN68md9//z2NO5ISfChZsqRG+YdLsaKiolAoFBrXbWJigqGhocb90WbGjBmUKVOG8PBwli9fjp+fH1WrVlXNCNMmMjJS673W9ky0GTVqFK6urhgZGWFlZYWRkZHWtj709u1bbt26pTHTCEh3mZ9yTB+3qXyd1pjj4uLU3icf+vh96+zsTFJSEtOnT8fb2xsbGxsgZcmdtbU1RYoUITIyEkiZ2TVt2jSuXr1KlSpVVG0o+4qNjU3zmoQQQgghhBBCiMz6TwWf0mJqakpYWJhGeVhYmGq2kpK2WU+Z6TchIYGIiAi1be/fvHmDjo6OakaStbU1CxcuJCEhgaCgIObOnUv//v05ceIE+vr6HDt2jLFjx6rN0Nq0aVO6/RcsWFDrdYeHh6v+bmJigo6OjloZpASl4uPj1cadmjJlyqgCKC4uLjRu3JgZM2ZQu3btVO9nWs8kI30WL1481WCj0sd9m5qaYmtry9SpU9Nt/2PKAOLH90l5DWmN2dTUlKioqAz3pczhdO/ePWxsbHj8+DHXr18HUAUkPxQQEKAWfFL2ld7MOCGEEEIIIYQQIrNkt7v/5+zszNmzZ9Vmpzx48IC//vor1STQWdUvwP79+9XK9+/fj52dHcbGxmrlBgYGVKtWjb59+xIdHc3r16+Jj48nOTlZbXladHQ0R48eTbd/e3t7zp07pxb4OHPmjNqOcnny5KFChQoaY1TOqvrU+5MnTx6GDBnCvXv3OHz4cKr1nJ2dOXLkiNryt1OnThEZGZltz6RmzZo8ffoUS0tLKleurPFHycDAQGOnP2tra8zNzbXeJwMDA+zt7VPt19ramvDwcGJiYjI0zrt37wL/Wz4XEBCAjo4OixcvZt26dWp/3NzcVEvylEJCQlT9CiGEEEIIIYQQ2UlmPv2/Hj16sHPnTnr27MmAAQOIi4tj/vz5FClSJM2E3ZlVvnx5GjVqxPTp04mNjcXa2hp/f3+CgoJYsmQJALdv32bGjBk0bdqU4sWLEx0dzfLly7GysqJEiRLo6elRuXJl/Pz8MDc3R19fn19//ZW8efNqzML5WPfu3dm0aRN9+vShT58+REZG4uvrqzEjZtCgQQwcOJBRo0bRsmVLHj58yLx58/D09Ew335M2rVu3ZtmyZfj5+dGwYUOtdfr370/nzp3p168fXl5eqt3u7O3tU82dlFmtW7dmy5YtfPvtt/Ts2ZNSpUoRFRXFrVu3SEhIYOTIkUDKzKPdu3dz9OhRChYsiKWlJYUKFcLHx4cpU6Zgbm6Ou7s7V65cwc/Pj+7du6ea0wnAycmJ5ORkbt26hYuLi9qx5ORkrly5AkBCQgI3b95k6dKllC1bVlU3MDAQFxcXGjRooNF2dHQ0Pj4+nD59mtq1awMpOwkaGxtrXWr6KfQtUr8mIYQQQgghhBCf7mv8niXBp/9XpEgR1q9fz8yZMxk1ahS6urrUqlWLsWPHkjdv3mzte9asWcydOxc/Pz/evXtH6dKlWbhwoSqhdsGCBbGwsGD58uW8evUKExMTXFxcmDVrlioP0Zw5c/jxxx8ZO3YsZmZmeHl5ERMTw6pVq9Ls29LSEj8/P6ZMmcLQoUMpUaIEP/74I/PmzVOrV79+fRYsWMDixYvx8fHBzMyMjh07qoIxn8rAwID+/fszfvx4zp07R/Xq1TXqVKpUiVWrVjF37lwGDx6MsbExHh4ejBkzJt38S5/L0NCQdevW4evry7JlywgNDcXMzAw7Ozu++eYbVb0+ffrw5MkTxowZQ2RkJIMGDWLw4MF4eXmhr6/PmjVr2Lx5MwULFmTQoEH0798/zX6tra2xsbHh5MmTGsGn2NhYOnXqBIC+vj6FCxemZcuWDBo0CAMDA27cuMHDhw/p1auX1rbr1KmDubk5AQEBquDTiRMnaNiwYabvY/62jTJ1vhBCCCGEEEIITYrkZHR0v57FajoKhULxpQchhID169ezbt06Dh48mKV5xT4WERFBrVq1WL16tdb8UBlx/fp14uPjsbOz05rIXXwZ79+/5+HDh1hbW8tzySHkmeRM8lxyJnkuOZM8l5xJnkvOJM8lZ5Lnkr2UuYfTy7f89YTRhMik+Ph4WrZsyeTJk79I/x06dCA2NjZDuboyY/369Tg5OX124EkIIYQQ/x0KhYL3798jv6/OWeS55EzyXHImeS45gwSfvjL+/v60b98eZ2dnnJycaNKkCT/88IParnFJSUl4eXnh5ubG/v37WbRokSq/VGaFhIRga2ur+mNvb0/dunXx8fHh999/z7YfeFtbW1auXJlmneDgYGxtbTl37pzW4/Pnz8fU1JTvv/8+Q30qr/XjBOOfK3fu3OTJk0ct+DR27Fi1++ng4EDLli3Ztm1bqu2sWbMGW1tbrdeRnJzMxo0bcXNzy/R4DQ0N5TcHOYyRkZHMRsth5JnkTPJccqbUnosiOfkLjUgIIYQQWUVyPn1F/Pz8mDNnDj169GDIkCEoFAru3r1LQEAAr1+/pkCBAgDcvHmTsLAwxowZw7x584iJiWH9+vVZOpYRI0ZQvXp1EhISeP78OUeOHGHYsGF4eHjg6+uLvn7WvvW2bt1K0aJFP/v8ixcvsn//frZv357hsVlaWrJ161ZKlSr12f1+6NChQ0RERDBhwgS18uLFizN79mwA/v77bw4dOsT48eMxNjamWbNmGu34+/ur2vvpp58wNDRUHdPV1WXUqFEsW7aMnj17Zvo5vN15kMQ3bzPVhhBCCJEafYv8kl9QCCGE+ApI8Okrsn79etq0acPYsWNVZe7u7vTu3ZvkD35raG9vz759+wBo0aJFtoylZMmSODg4qF63atWKrVu38uOPP+Ln58eAAQOytL8P+/ocLi4un7TcLTY2lty5c2e63w+tXbuWZs2akTt3brXyj/upVasWV65c4eDBgxrBp4cPH3Lz5k1q1qzJ6dOnOXbsGI0aqf9Pe9OmTZkyZQrHjh3Tujvep0h885bEl6GZakMIIYQQQgghxNdNlt19RSIjI7G0tNR6TPeDLPm7d++mS5cuVKtWjapVq+Ll5cW1a9c0zrlw4QKdO3fG3t6e6tWrM27cON69e/fZ4+vUqROVK1dm48aNauX3799nwIABODs74+DgQN++fXny5Ilane3bt9OsWTPVWLp06aI2Zm3L7pYsWUKtWrVwdHRk0KBBaksPlRQKBStXrsTT05NKlSpRv3591qxZo1bH19cXR0dHrl27pnYN2pbdJScns2TJEjw8PKhUqRKNGzdmy5Yt6d6bp0+fcvHiRRo3bpxuXYA8efKQmJioUR4YGIiOjg6TJ0/GwsKCgIAAjTpGRka4u7uza9euDPUlhBBCCCGEEEJkhgSfviIVK1Zky5YtbNu2jdDQ1GejhISE0Lp1axYsWMDs2bMpUqQIXbt25eHDh6o6N27cwNvbmzx58rBgwQJGjRrFH3/8QZ8+fUhKSvrsMdaqVYvQ0FCePXsGpARdOnfuTEREBNOnT2f27NmEh4fTo0cP4uPjgZQg2A8//ECdOnX49ddfmTFjBjVq1CAqKirVfjZs2MCCBQto2bIlCxcupHjx4vzwww8a9aZOncrChQtp3bo1v/76K23atGH27Nls3rxZrV5CQgIjR46kZcuW+Pn5UatWLa39zpw5k0WLFtGmTRuWLVuGm5sbEydOZMOGDWnel7Nnz6Kvr4+9vb3W44mJiSQmJhIZGcn27du5fPkynp6eGvUCAwNxcXGhePHiNGnShGPHjmm9T46Ojpw9e1ZtRpwQQgghhBBCCJEdZNndV2TixIkMGjSI8ePHA1CsWDHq1atHjx49KFasmKreoEGDVH9PTk6mVq1aXLt2jV27djFixAgAli1bRsGCBVm2bBkGBgYAFClShF69enH8+HE8PDw+a4xFihQB4M2bN1hZWbFo0SJMTU1ZvXo1uXLlAsDJyYn69euzbds2unbtyrVr1zAzM2PMmDGqdurWrZtqH0lJSSxfvpxWrVqpzqlduzZhYWHs2bNHVe/Jkyds2LCBSZMm0alTJwBq1qxJbGwsixcvplOnTqoZYwkJCQwfPpymTZuqzg8JCVHrNzw8nA0bNtCrVy8GDx4MgJubG2/fvmXx4sV06dIFPT09rWO+fv06pUqVUsvPpHT37l0qVqyoVtazZ09atmypVnbt2jUePXqEt7c3AM2bN2f9+vUcOHCA9u3bq9UtX7480dHR3L9/n3LlyqVyJ4UQQgghhBBCiMyTmU9fERsbGwIDA/n111/59ttvMTExYf369bRs2ZLg4GBVvfv37zNw4EBq1qxJhQoVqFixIg8fPuTRo0eqOhcvXqR+/fqqwBOkBFLy5cvHpUuXPnuMyt3udHR0ADh16hQeHh7o6empZvfky5cPOzs7bty4AYCdnR3v3r1j7NixnDp1ivfv36fZx8uXL3n9+jUNGzZUK/94ptDp06cBaNSokarvxMREatasSWhoKC9evFCr7+7unma/165dIyEhQWPpXJMmTQgPD1e7vx97/fo1+fPn13qsRIkSbN++ne3bt7NhwwaGDRvG+vXrWbRokVq9wMBADAwMVP07ODhQvHhxrUvvlH2lNUNOCCGEEEIIIYTICjLz6StjaGiIu7u7KlBy8uRJ+vXrx+LFi1m0aBHR0dH07NkTc3Nzxo4dS9GiRcmVKxfjx48nLi5O1U5kZKRqd7wPFShQgIiIiM8e38uXLwGwsLAA4O3bt6xdu5a1a9dq1FUGvmrUqMHMmTNZt24dvXr1IleuXHh6evL9999jZmamcZ4yoGJubq5WruxT6e3btygUClxdXbWO9cWLF1hZWQEpeZLy5MmT5rUp78vH/Shfp5UvKz4+XuusJ4BcuXJRuXJl1euqVasSFhbGsmXL6NatG2ZmZiQnJ7Nv3z6qVauGrq4ukZGRANSvX59169bx6tUrChUqpGpD2VdsbGya1ySEEEIIIYQQQmSWBJ++crVr16Z8+fLcv38fgCtXrvDy5UuWL19O+fLlVfWioqIoXLiw6rWpqanWBN1hYWGYmpp+9nj+/PNPChUqRNGiRVX9uLu7880332jU/TDY06pVK1q1akV4eDhHjhxh2rRp6Ovr88svv2icV7BgQSBlGdyH3rx5o/ba1NQUHR0dNm3apDbDS8na2lr1d+VMrbQoA2FhYWFqgR5lv9oCZR+ORZkHKyNKly5NQkICjx8/xszMjLNnzxIaGkpoaChVq1bVqL9v3z7VcjxAFZxKa0xCCCGEEEIIIURWkODTV+TNmzcas25iY2N58eIFZcuWVb0G1IItly9f5tmzZ2q5f5ydnTly5Ahjx45FXz/lbXLq1CkiIyNxdnb+rPFt3bqVGzduMHLkSFVZjRo1uHv3LnZ2dqnmQ/qQubk5HTp04MSJEzx48EBrncKFC1OwYEEOHTqktvTuwIEDavVq1KgBpMxI+twcVh+qXLkyBgYG7N+/Hzs7O1X577//ToECBShVqlSq51pbW3Pu3LkM93X37l3gf8vnAgICMDY2ZsmSJWo7GwL88ssvBAQEqAWflIGutMYkhBBCCCGEEEJkBQk+fUVatGhBvXr1cHNzw9LSklevXrFhwwbevn1L9+7dgZQ8QMbGxkyaNIm+ffvy6tUrfH191WbqAPTv35/OnTvTr18/vLy8ePPmDXPmzMHe3j7d3EcAjx8/5sqVKyQmJvL8+XMOHz7MgQMHaNiwIb169VLVGzJkCO3bt6dXr1507NgRCwsL3rx5w/nz53FxcaF58+YsXLiQd+/eUa1aNQoUKMCdO3c4efIkPXr00Nq3np4effv2ZerUqRQoUIBatWpx6tQpjeCOtbU1Xbt2ZfTo0fTq1YsqVaqQkJDAo0ePOHfuHEuWLPmk+29ubk63bt1YuXIlhoaGODg4cPz4cQIDA5kwYUKawTUnJycWL17My5cv1WagQUrA8MqVK6q/X7x4kW3btlGrVi1KlChBXFwchw4dolGjRqqA2ofatWvH1KlTefDgAaVLlwZSdjMsU6aMxtLET6VvoT1PlRBCCJEV5N8ZIYQQ4usgwaevyKBBg/jjjz+YPn064eHh5M+fH1tbW9asWaPKa2RhYcGCBQuYOXMmPj4+lCpVikmTJrFixQq1tipVqsSqVauYO3cugwcPxtjYGA8PD8aMGZOhGUpz584FUnILmZubY2dnx4IFC/D09FRbwlayZEm2bdvG/PnzmTRpEjExMRQsWJCqVatia2sLpMwoWrt2Lb///jvR0dEULlyYXr16MWDAgFT79/LyIjIykk2bNrF582Zq1KjBlClT6N27t1q98ePHY21tzdatW1m8eDF58uTB2tpaI2l4Ro0ePRoTExO2b9/OsmXLsLKyYtKkSXTu3DnN86pVq4aZmRknTpygY8eOaseePn2q2o3PwMAAKysrevXqRZ8+fQA4duwYUVFRtG7dWmvbzZs3Z+bMmQQEBDB06FAATpw4oZGA/XPkb9so020IIYQQaVEkJ6OjK3vkCCGEEP9mOgrl9mNCiC9q+vTp3Lp1i3Xr1mVrP3fv3qVVq1YcOHCA4sWLf1Yb169fJz4+Hjs7O4yMjLJ4hOJzvX//nocPH2JtbS3PJYeQZ5IzyXPJmeS55EwxMTEEBwdToUIFjI2Nv/RwxP+T55IzyXPJmeS5ZK/r168DqG2SpY38GkmIHKJnz55cu3aN27dvZ2s/q1atolWrVp8deBJCCCGyg0Kh4P3798jvRYUQQoivjwSfRJbz9fXF0dHxk87x8vKiX79+2TSif46Pjw9eXl6q159yL1avXo2NjY1ql76dO3dia2ur+lOpUiUaNGjAnDlzeP/+vdY2bt26ha2trVqi9Q/98MMP3LlzR7X8LjMMDQ3lN9M5jJGRkcxGy2HkmeRM/7bnokhO/tJDEEIIIYTIFMn5JEQ26tChQ4YStL969YpNmzaxceNGKlWqpHZsxYoVmJiYkJCQwPXr15k/fz4RERFMnjxZo52AgAAAnjx5wtWrV6lSpYra8b59+9KsWTPVroeZ9XbnQRLfvM2StoQQQmjSt8gv+fWEEEII8a8nwSfx1VMoFCQkJGBoaPiP9124cGGN3eu02bp1KyVLltQIPAFUrFhRtStd1apVefnyJQEBARrBp+TkZPbt24ezszM3btwgICBAI/hUsmRJnJyc2LhxIz/88EMmrixF4pu3JL4MzXQ7QgghhBBCCCG+XrLsTmS72bNn06JFCxwdHalduzYjRozg9evXWuvu3r2bBg0aYG9vj5eXFw8ePFA7HhcXx7Rp03Bzc6Ny5cq0atWKQ4cOqdUZO3YszZs35/jx47Rs2ZLKlStz9OhRYmJimDx5Mp6enlSpUgUPDw9+/PFHoqKi1M738PBg8uTJbNy4kXr16uHs7IyPj49qOZzS/fv36datG5UrV6ZBgwbs2rVL43oyuuxu9+7dGd59Lk+ePCQmJmqUX7hwgZcvX9K5c2fq1q3Lvn37SEpK0qjXuHFjAgICtLYhhBBCCCGEEEJktSyd+aRcypM7d+6sbFb8y4WFhdGvXz8sLS0JDw9n9erVeHl5sXfvXvT1//cWvHnzJk+ePGHkyJEAzJ8/n969e7N//37VrKVRo0Zx8uRJhg0bRunSpdmzZw+DBw9m8eLF1K9fX9XW69evmTJlCgMGDKBIkSIULVqU2NhYkpKSGD58OObm5rx48YJly5bh4+PD+vXr1cZ89OhRHj9+zI8//sjbt2+ZNm0aP//8M/PmzQNSgmA9e/bEyMiImTNnArBw4UKio6MpVarUJ92fx48f8+zZM5ycnLQeT05OJjExUbXsbtu2bVoDVQEBARgZGdGgQQNy587NgQMHOH36NLVr11ar5+TkxNu3bwkODk53RwIhhBBCCCGEECKzMh18ev78Ob6+vhw/fpy3b1Nyv+TPnx93d3cGDRqElZVVpgcp/t2mTZum+ntSUhKOjo7UqVOHs2fP4ubmpjoWFhbGhg0bVMEbOzs7GjduzM6dO+ncuTO3b9/m4MGDTJo0ic6dOwNQp04dnj17phF8ioiIwM/PT2PZ2aRJk1R/T0xMpFixYnzzzTeqrZ2VFAoFS5cuVQW9nj17xvLly0lOTkZXV5edO3fy+vVrfv/9d43xfmrwSbk1pa2trdbjtWrVUntdrVo1xo0bp1YWHx/PwYMH8fDwwNjYmLp162JiYkJAQIBG8Kls2bLo6elx7do1CT4JIYQQQgghhMh2mQo+3b9/n2+++YaoqChq1qxJmTJlAHjw4AF79uzhjz/+YNOmTZQuXTpLBiv+nY4fP87SpUu5e/cu0dHRqvJHjx6pBZ/KlSunFrgpWbIk5cuX5+rVq3Tu3JlLly4BKcvGPtSkSROmTZtGTEwMxsbGAJiZmWkEniBleduaNWt4/PgxMTExamP5MPhUtWpVtRxRZcqUISEhgbCwMAoWLMi1a9dSHe+nCg0NRVdXl/z582s9vmbNGvLmzUtSUhL37t1j4cKFDBo0iJUrV6Krm7Jy9sSJE0RERNC8eXMgZSe6hg0bsn//fmJjY9VmI+rr62NiYpLq0kchhBBCCCGEECIrZSr4NGfOHHR1ddm1a5fGrI07d+7Qo0cP5syZw+LFizM1SPHvde3aNXx8fKhfvz59+vShQIEC6Ojo0LFjR+Li4tTqFihQQOP8AgUKEBqaktA6IiICAwMDzMzM1OpYWFigUCiIiopSBZ8sLCw02jp06BBjxoyhU6dODB8+HDMzM0JDQxk4cKDGWPLly6f2WhmIUtZ7/fp1quP9uK30xMXFoa+vj46Ojtbjtra2qoTjDg4O5MuXj8GDB3P8+HHq1asHpCy5MzExwcHBgcjISADq1avHzp07OXr0KE2bNtW4nk8dpxBCCCGEEEII8TkyFXy6cOEC3t7eWpcL2djY0LVrV9asWZOZLsS/3OHDh8mbNy/z589XzdJ59uyZ1rphYWFay5SziUxNTUlISCAiIgJTU1NVnTdv3qCjo4OJiYmqTFsgZ//+/VSoUEFtl7jz589/1nVZWlpy8+ZNrePNmzfvJ7VlampKfHw8cXFx5MqVK936yhmGd+/epV69ekRHR3Ps2DFiY2OpUaOGRn1/f3+N4FNUVJRGEE8IIYQQQgghhMgOmdrtLjExMc3k4kZGRrKj1n9cbGwsBgYGasGggIAArXXv3r3L48ePVa8fP37M7du3VcvnnJ2dgZQg0of279+PnZ2datZTemP5UGpjSU/lypVTHe+nUi73CwkJyVD9O3fuAKiW6R0+fJjY2FgmTZrEunXr1P60adOGP//8k3fv3qnODw8P5/3792rLDIUQQgghhBBCiOySqZlPFSpUYNu2bXTo0EFt1glAdHQ027dvx87OLlMDFP9utWrVYu3atfz88880bNiQoKAg9uzZo7VugQIF6N+/P0OGDAFgwYIFFCpUiLZt2wJQvnx5GjVqxPTp04mNjcXa2hp/f3+CgoJYsmRJumOpWbMmkydPZvHixTg6OnL8+HHOnDnzWdfVtm1bli5dSr9+/Rg6dCiQstudtuV+6bG3t0dfX58bN26oZjV96ObNm5iYmJCYmMiDBw9U/TRs2BBICaBZWVnRqVMnjRlfpqam7Nq1i/3796uStCsTnCuDeZmhb6E9T5UQQoisIZ+zQgghhPgaZCr4NHjwYPr06UOTJk1o27atKvnyw4cP2bVrF+/evePHH3/MinGKf5HY2FhVjiR3d3dGjRrFhg0b2LlzJ05OTixfvhxPT0+N8ypWrEijRo2YNWsWoaGhVKlShUmTJqkl/p41axZz587Fz8+Pd+/eUbp0aRYuXIiHh0e64+rcuTMhISFs2LCBlStX4ubmxpw5c+jYseMnX2Pu3LlZtWoVP/30E9999x2FChXCx8eHI0eOEBUV9UltGRsbU7t2bU6cOEGrVq00jvfu3RsAXV1dChUqhKurK0OHDsXMzIywsDDOnDlD3759tS41LF++PBUqVCAgIEAVfDp58iQuLi6fFSj7WP62jTLdhhBCiLQpkpPR0c3UZHUhhBBCiC9KR6FQKDLTwOnTp5k5c6bGcqMKFSowevRorTloxNdt0KBBPH/+nJ07d37pofxrHD16lJEjR3L69GmMjIyyrZ/ExETq1q3LqFGjaN269We3c/36deLj47Gzs8vW8YpP8/79ex4+fIi1tbU8lxxCnknOJM8lZ4qJiSE4OJgKFSqku5Re/HPkueRM8lxyJnkuOZM8l+ylXFlTuXLlNOtlauYTpCxl2r17N6GhoTx//hyAokWLUrBgwcw2Lf5lgoODOX/+PMeOHWPw4MFfejj/KvXq1cPa2ppt27bx7bffZls/gYGB5MmTh+bNm2dbH0IIIYQQQgghxIcyHXxSKliwoASc/uO+//57IiIi8Pb2plevXvj6+rJo0SLVcUNDQ4oVK0bbtm3p1auXave7LykkJIT69euzYMECGjdu/MXGoaOjg6urK2vWrFEFn86dO6cWiNLT06NQoULUqVOHYcOGqRKOfyg8PJzatWtjaGjImTNnNDYEOHr0KHnz5kVfP/M/+oaGhjJjIIcxMjKSPHs5jDyTnCkzz0WWwAkhhBBCfLpP+ga6e/duAFq1aoWOjo7qdXoys7xH/Hvs2rVLoyx37tysXbsWSMkFde7cOebMmYNCoaBv377/9BA1WFpasnXrVlW+si/l/fv3+Pv7M2HCBI1j06ZNo3Tp0iQmJnLv3j3mzZtHSEgIK1eu1Ki7b98+EhMTSUxM5OjRozRt2lTt+JQpU6hXrx5nz57F1dU10+N+u/MgiW/eZrodIYT4N9C3yC+57oQQQgghPsMnBZ/Gjh2Ljo4OTZs2xdDQkLFjx6Z7jo6OjgSf/sN0dXVxcHBQvXZ1deXOnTscPHgw08GnpKQkkpOTMTAwUCtXKBQkJCSoJSpPjaGhodr4tImPj0dfXz9bZ2rt27ePhIQE6tevr3GsXLlyqvWzLi4uxMXFMW3aNP7++2/y5MmjVjcwMJAyZcoQHR2Nv7+/RvApX758NGrUiHXr1mVJ8CnxzVsSX4Zmuh0hhBBCCCGEEF+vTwo+HTlyBED1pV75WohPkSdPHhITE9XKZs+ezfHjxwkJCSFv3rxUrVqVsWPHYmlpqarj5eWFsbExjRs3ZtmyZTx9+pStW7eyceNGbty4wXfffcecOXN48OABs2fPpnHjxgQFBTFv3jyuXbuGnp4edevW5fvvv6dAgQKA9mV3Hh4e1K1blyJFirBp0yZevHjB6dOnefv2LYsWLeLy5cu8e/cOKysr2rdvT48ePdQCU7/++ivbtm3j5cuX5MmTh/Lly/Pzzz9TvHjxVO/J7t27qV+/foaWw+XJkweFQkFycrJa+dOnTwkKCmLYsGFERkayfv163r17h5mZmVq9xo0b4+PjQ3h4OObm5un2J4QQQgghhBBCZMYnBZ+srKzSfC2ENspAk3LZ3cGDB+nXr59anbCwMPr164elpSXh4eGsXr0aLy8v9u7dqxaQuXHjBs+ePWPo0KHky5ePIkWKAPD69WumTJnCgAEDKFKkCEWLFiUoKAgvLy/c3d2ZN28e79+/Z/78+fj4+LB169Y0x3zw4EFKlizJDz/8gK6uLsbGxvz1119YW1vTokUL8uTJQ3BwML6+vsTExDBo0CAgJYi0YMEChgwZgoODA1FRUVy6dIm///471b5iY2MJCgqiVatWWo8nJyeTmJhIUlISd+/eZdWqVdSsWRMTExO1eoGBgQA0b96cyMhIVq1axf79++ncubNaPUdHR5KSkjh//vwXzXMlhBBCCCGEEOK/IUsSjiclJXHz5k1CQkIAKFasGBUrVkRPTy8rmhf/YjExMVSsWFGtrGnTphpL7qZNm6b6e1JSEo6OjtSpU4ezZ8/i5uamOhYREcH27dtVQacPy/38/KhSpYqq7IcffqBSpUosWrQIHR0dAGxsbGjevDnHjx/H3d091XEnJCTg5+enthVnjRo1qFGjBpCytM/Z2ZnY2Fg2bNigCj5du3YNW1tbteBagwYN0rxHwcHBJCQkYGtrq/V4x44d1V7b2toyY8YMjXp79+7FwcFBNcOqdOnSBAQEaASf8uXLR9GiRbl69aoEn4QQQgghhBBCZLtMB5927tzJ3LlzCQsLQ6FQACl5nszNzRk+fDjt27fP9CDFv1fu3LnZsGEDkJI76ebNmyxcuJDx48erBZyOHz/O0qVLuXv3LtHR0aryR48eqQWfbGxsNAJPAGZmZmqBp/fv33P58mVGjx5NUlKSqrxUqVIUKVKE69evpxl8ql69ulrgCSAuLo7ly5cTEBDAixcvSEhIUB1T5l+ys7Nj06ZNTJs2jYYNG1KlShWNnFQfCw1NyZmU2hK4GTNmUKZMGRQKBU+fPmXRokX07t2bzZs3q3I+3b59m7t37zJ+/HjVec2aNWPRokU8f/6cokWLatwvZb9CCCGEEEIIIUR2ylTwacuWLfz0009UqFCBQYMGqXYMe/jwIVu3bmXChAkkJCTQpUuXrBir+BfS1dVVJcsGcHZ2JikpienTp+Pt7Y2NjQ3Xrl3Dx8eH+vXr06dPHwoUKICOjg4dO3YkLi5OrT0LCwut/XxcHhkZSVJSEtOmTVMLcim9ePEizXErc0J9aNasWWzbto2BAwdSqVIlTExMOHLkCEuXLiUuLo48efLQtm1b/v77b3777TfWrFmDiYkJrVu3ZtSoUeTOnVtrX8prTC1BepkyZVT30N7enlKlStG2bVt27dpFt27dAPD390dXVxc3NzciIyMBcHd3x9fXl8DAQI2ZZoaGhhr3VgghhBBCCCGEyA6ZCj75+fnh4uLC6tWr1WZ3uLq60r59e7p3786KFSsk+CTUlC5dGoB79+5hY2PD4cOHyZs3L/Pnz1cl7n727JnWc5XL59IrNzExQUdHh379+mld9pY/f/40x6itn/3799OpUye1QM7x48fV6ujq6tK9e3e6d+/Oq1ev2Lt3L3PmzCF//vwMHDhQa1+mpqZASsCsYMGCaY4LUoJRAHfv3gVSlgDu27eP5ORkrcvoAgICNIJPUVFRlCtXLt2+hBBCCCGEEEKIzMpU8OnNmzf07NlT67IiAwMDmjVrxqxZszLThfgKKYMmygBQbGwsBgYGagGfgICATPVhbGyMg4MDDx48UJt5lRlxcXFq7/WkpCT27t2bav1ChQrRs2dPAgMDefDgQar1rK2tgZSd95SBpbTcuXMH+N/9u3jxIi9evGDw4MFUrVpVre7Jkyfx8/Pjr7/+UuWUSk5O5vnz57Rr1y7dvoQQQgghhBBCiMzKVPCpQoUKPHz4MNXjDx8+pHz58pnpQvzLJScnc+XKFSAliffNmzdZunQpZcuWxcXFBYBatWqxdu1afv75Zxo2bEhQUBB79uzJdN+jR4+me/fuDBs2jGbNmpEvXz5evnzJ6dOnadu2LdWrV/+k9mrWrMm2bdsoW7Ys+fPnZ9OmTcTHx6vV+fHHH8mXLx8ODg7ky5ePy5cvc/v27TRn/xUvXpyCBQty8+ZNrXmo7t69S1JSEsnJyTx9+pQlS5ZgZGRE69atgZRAnbGxMd7e3qocUErlypVjzZo1BAYGqoJPDx8+JCYmRnX/M0PfIu0ZZEII8TWRzzwhhBBCiM+TqeDThAkT6NevH8WLF6dTp06qnDaxsbFs2bKF/fv38+uvv2bJQMW/U2xsLJ06dQJAX1+fwoUL07JlSwYNGqSaReTu7s6oUaPYsGEDO3fuxMnJieXLl+Pp6Zmpvp2cnNi0aRO+vr6MGzeOhIQEChcujKurKyVLlvzk9iZMmMDEiRP5+eefMTIyok2bNjRs2FAtybejoyO//fYb27Zt4/379xQvXpxx48bRoUOHNNtu3LgxJ06cwMfHR+PYuHHjgJSlgBYWFlSuXJkFCxZQqlQpEhISOHDgAA0aNNAIPEFKEnN3d3cCAwMZMWIEOjo6nDhxAisrqyyZEZa/baNMtyGEEP8miuRkdP5/ibgQQgghhMgYHYVyi7rP0KJFCyIiIggNDUVPTw9LS0sAXr9+TVJSEpaWluTLl0+9Qx0d/P39MzdqIb4yt2/fpk2bNhw+fBgrK6ts7atdu3bUq1ePQYMGfXYb169fJz4+Hjs7O4yMjLJwdCIz3r9/z8OHD7G2tpbnkkPIM8mZ5LnkTDExMQQHB1OhQgWNHWfFlyPPJWeS55IzyXPJmeS5ZK/r168DpDu5IVMzn8zMzDAzM9OYRZLdX56F+NqUL18eDw8P1q1bp5rplB0uXLjA06dP+fbbb7OtDyGEEEIIIYQQ4kMZDj7FxcWRK1cutbL169dn+YDEv8ORI0fYuHEjN27cICYmBktLS9zc3PD29lYl0M7pgoODOXz4ML1791b7zffOnTsZN24cZ86cwdzc/B8bj62tLTt27FAFn86dO6cWJNLT06NQoULUqVOHYcOGad2xLzw8nNq1a2NoaMiZM2dUS2GVfvvtN4oUKaIxI/FzGBoayoyBHMbIyAg7O7svPQzxAXkmOdOnPBdZZieEEEIIkXkZDj6tXLkSXV1d+vfvn53jEf8Cs2fPxs/PD09PT37++WfMzc158uQJO3bsYPjw4ezevftLDzFDgoODWbRoEV27dlULotStW5etW7dmSYAmo96/f89vv/3GhAkTNI5NmzaN0qVLk5iYyL1795g3bx4hISGsXLlSo+6+fftITEwkMTGRo0eP0rRpU7XjEyZMoF69epw9exZXV9dMj/vtzoMkvnmb6XaEECIn0rfIL7nthBBCCCGyQIaDT46OjgwbNozLly8za9YsTE1NuXDhQobO/Xj7d/Hvdfz4cfz8/PDx8WHo0KGq8qpVq9KuXTv++OOPTLWvUChISEjA0NBQ41hsbKzGTJ7sYG5u/o/OeIKUoFFCQgL169fXOFauXDnV+lkXFxfi4uKYNm0af//9t0aS8cDAQMqUKUN0dDT+/v4awad8+fLRqFEj1q1blyXBp8Q3b0l8GZrpdoQQQgghhBBCfL0yHHyqUaMGe/fuZfLkybRq1Ypjx47h5eWFjo5OqucoFAp0dHQIDg7OksGKL2/VqlVYWFho3ZUNoF69eqq/x8XFMXfuXPbu3UtERASlS5dm0KBBNGzYUFVn7Nix3Lhxg++++445c+bw4MEDZs+ezd27d1m1ahVr165l6tSp3Lp1i2HDhtGrVy/u37/P7NmzOX/+PElJSVSrVo3x48dTokQJVbu2traMGjWK2NhYNm/eTFJSEh4eHkyYMAFjY2PV0jpIeW9DSq6yo0ePaiy7CwkJoX79+sycOZOrV68SEBBArly5aNGiBSNHjkRfP+XH6P79+yxatIjLly/z7t07rKysaN++PT169EA3nSUbu3fvpn79+qq20pInTx4UCgXJyclq5U+fPiUoKIhhw4YRGRnJ+vXreffuHWZmZmr1GjdujI+PD+Hh4f94kE0IIYQQQgghxH/PJyUct7CwYOHChRw+fBiAdevWZcugRM6UmJjI5cuXadSoEQYGBunWHzVqFCdPnmTYsGGULl2aPXv2MHjwYBYvXqw2w+f169dMmTKFAQMGUKRIEYoWLcrdu3dJSEhg5MiR9OjRg+HDh2NmZsbTp0/p3Lkz5cqVY/r06ejo6LBs2TJ69OjB/v371WZMbdy4EWdnZ6ZPn86jR4+YOXMmBQoUYNSoUdStW5cBAwawdOlSVqxYgYmJidbZVh+aP38+9evXZ/78+QQFBeHr60uJEiXo0qWL6jqsra1p0aIFefLkITg4GF9fX2JiYtLcWS42NpagoCBatWql9XhycjKJiYkkJSWpgnI1a9bExMRErV5gYCAAzZs3JzIyklWrVrF//346d+6sVs/R0ZGkpCTOnz9P48aN07xmIYQQQgghhBAisz5rt7sGDRoAUK1atSwdjMjZ3r17R3x8PEWLFk237u3btzl48CCTJk1SBT/q1KnDs2fPNIJPERER+Pn5UaVKFbU2EhISGD58uNrSsTFjxmBqasrq1atVCfCdnJyoX78+27Zto2vXrqq6BQsWZM6cOaq+b926xYEDBxg1ahTm5uaqmVIVK1bM0Awge3t7xo8fD0CtWrU4d+4cBw4cUAWfatSooZpFpVAocHZ2JjY2lg0bNqQZfAoODiYhIQFbW1utxzt27Kj22tbWlhkzZmjU27t3Lw4ODhQvXhyA0qVLExAQoBF8ypcvH0WLFuXq1asSfBJCCCGEEEIIke0ytX1LYmIi0dHRqR6Pjo4mMTExM12IHCitpZZKly5dAtAIbjRp0oRbt24RExOjKjMzM9MIPCm5u7urvT516hQeHh7o6empEmvny5cPOzs7bty4oVa3Zs2aaq/LlCnDy5cv0x17atzc3NJsLy4ujoULF9KwYUMqV65MxYoVmTdvHqGhofz999+pthsampIzKbUA2IwZM9i+fTvbtm1j7ty5JCQk0Lt3b7U2b9++zd27d2nevLmqrFmzZly6dInnz59rtGlmZqbqVwghhBBCCCGEyE6ZCj5NmTJFY1bFh7p06cL06dMz04XIQczMzMiVK5fWYMbHIiIiMDAw0Mg3ZGFhgUKhICoqSq1MGyMjI42E2m/fvmXt2rVUrFhR7c/Fixd58eKFWt2Pd6szMDAgPj4+3bGn5uNlbh+3N2vWLFauXEmHDh349ddf2b59OwMGDABSAlOpUR5LbdlfmTJlqFy5Mvb29jRr1ozZs2fz119/sWvXLlUdf39/dHV1cXNzIzIyksjISNzd3VEoFKrleB8yNDRMc0xCCCGEEEIIIURW+axld0onT56kdevWqR739PTE398/M12IHERfXx8nJyfOnj1LYmJimsmxTU1NSUhIICIiAlNTU1X5mzdv0NHRUQvkpDaTSlu5qakp7u7ufPPNNxrHPg5U/dP2799Pp06d6Nu3r6rs+PHj6Z6nvD+RkZEULFgw3fplypQB4O7du0DKEr99+/aRnJysdRldQECA2pgAoqKiKFeuXLp9CSGEEEIIIYQQmZWp4NPr168pVKhQqsctLS159epVZroQOYy3tzd9+/Zl2bJlWvMYHT9+HHd3d5ydnYH/BWSU9u/fj52dHcbGxp/Vf40aNbh79y52dnbo6el93kX8P2XS9MzMhvpQXFycWiL2pKQk9u7dm+551tbWAISEhKgCS2m5c+cOAPnz5wdQzfoaPHgwVatWVat78uRJ/Pz8+Ouvv1Q5pZKTk3n+/Dnt2rXL2IUJIYQQQgghhBCZkKngk5mZGQ8fPkz1+P3798mbN29muhA5jLu7O71798bX15d79+7RrFkz8ufPT0hICDt27CAqKgp3d3fKly9Po0aNmD59OrGxsVhbW+Pv709QUBBLliz57P6HDBlC+/bt6dWrFx07dsTCwoI3b95w/vx5XFxc1HIepUcZ6Nm4cSMNGjQgd+7cqSb9zoiaNWuybds2ypYtS/78+dm0aVOGAlvFixenYMGC3Lx5UyPHFaTMcEpKSiI5OZmnT5+yZMkSjIyMVLMOAwICMDY2xtvbW2P2V7ly5VizZg2BgYGqa3v48CExMTG4uLh89rUq6Vvkz3QbQgiRU8lnnBBCCCFE1shU8Kl27dps2bKFFi1aYGdnp3bs5s2b/Pbbb7Kb1lfou+++w9HRkY0bN/L999/z/v17LC0tcXNzo1evXqp6s2bNYu7cufj5+fHu3TtKly7NwoUL8fDw+Oy+S5YsybZt25g/fz6TJk0iJiaGggULUrVq1U8OHNnZ2TF48GC2bdvGihUrKFKkCEePHv3ssU2YMIGJEyfy888/Y2RkRJs2bWjYsKFqh7y0NG7cmBMnTuDj46NxbNy4cUDKMkQLCwsqV67MggULKFWqFAkJCRw4cIAGDRpoXXZobm6Ou7s7gYGBjBgxAh0dHU6cOIGVlRWVK1f+7GtVyt+2UabbEEKInEyRnIyObqZSZAohhBBC/OfpKBQKxeee/OrVK9q3b094eDgeHh6ULVsWSJmp8ccff2Bubs62bdsoXLhwlg1YiK/R7du3adOmDYcPH8bKyipb+2rXrh316tXTumwyo65fv058fDx2dnYYGRll4ehEZrx//56HDx9ibW0tzyWHkGeSM8lzyZliYmIIDg6mQoUKn708X2Q9eS45kzyXnEmeS84kzyV7Xb9+HSDdyQ2Z+lVeoUKF2LFjB82bN+fMmTMsXbqUpUuXcvbsWVq0aMH27dsl8CREBpQvXx4PDw/WrVuXrf1cuHCBp0+f8u2332ZrP0KIFAqFgvfv35OJ3/OIbCDPRQghhBDin5WpZXeQklR8xowZKBQKwsPDgZSlPqntYCZEVjty5AgbN27kxo0bxMTEqJYAent7q5J5/xv06dOHbt260a5dO2xsbADw8PDg2bNnqjpmZmbY2toyZMiQVHM2DRgwgKNHjzJjxgyN3SgfPXrE+/fviYyMJF++fJkar6GhocwYyGGMjIw0lkCL7CfLsoQQQgghhEhbpoNPSjo6OhQoUCCrmhMiQ2bPno2fnx+enp78/PPPmJub8+TJE3bs2MHw4cPZvXv3lx5ihgUGBuLm5qYKPCl5enrSs2dPAMLCwli7di29e/fG39+fEiVKqNV99+4dJ0+eVLX3cfCpQ4cOXLx4EV9fX2bMmJHpMb/deZDEN28z3Y4Q/1b6Fvkl95kQQgghhBDp+KTg06JFi9DR0WHAgAHo6uqyaNGidM/R0dFh4MCBnz1AIVJz/Phx/Pz88PHxYejQoaryqlWr0q5dO/74448vOLpP8/fff7Njxw5mzpypcczCwgIHBwfVaxcXF6pXr87Jkyfp2rWrWt0DBw6QkJBAzZo1OXPmDGFhYRpB4fbt2+Pt7c2YMWMwNzfP1LgT37wl8WVoptoQQgghhBBCCPF1+6zgU58+fTA0NJTgk/iiVq1ahYWFhdYd4gDq1aun+ntcXBxz585l7969REREULp0aQYNGkTDhg3VzgkKCsLX15crV66gUCgoW7Ysw4YNo1atWkDKzKIZM2Zw9OhR3r9/j52dHSNHjqRq1aqqNi5dusTcuXO5ffs2ycnJFCtWjJ49e9KmTZtUr+XAgQMA1KlTJ93rNjIyQk9Pj8TERI1jgYGBlCxZkrFjx9KyZUv27duHl5eXWh1nZ2fMzMwICAige/fu6fYnhBBCCCGEEEJkxicFn27fvp3mayH+KYmJiVy+fJlGjRphYGCQbv1Ro0Zx8uRJhg0bRunSpdmzZw+DBw9m8eLF1K9fH0gJGnXv3h0HBwemTJlCvnz5uHHjBs+fPwcgKSmJPn368PTpU0aNGoWFhQXr16/H29ubLVu2UKlSJaKjo+nXrx/Ozs7MnTsXQ0ND7t27R2RkZJrjO336NHZ2duTKlUvjmEKhUAWawsPDWbp0KXp6etStW1et3suXL7lw4QI+Pj7Y2tpiY2NDYGCgRvBJV1eXKlWqcPr0aQk+CSGEEEIIIYTIdlmW80mIf9K7d++Ij4+naNGi6da9ffs2Bw8eZNKkSXTu3BlImWH07NkzteDTrFmzKFmyJGvXrkVPTw8ANzc3VTvHjh3j2rVrrFixgtq1a6uON2rUiOXLl+Pr68vDhw+JiopixIgR2NraAlCjRo10x3j9+nXV7KqPbdq0iU2bNqle586dmxkzZlCyZEm1eoGBgSgUCpo3bw5AixYtmDNnDk+ePNHIDVW+fHk2btyY7riEEEIIIYQQQojMku15xL9aRnZVvHTpEgCNGzdWK2/SpAm3bt0iJiaG9+/fc/XqVVq3bq0KPH3s4sWL5M2bVxV4AjAwMKBhw4aqPkqUKEHevHn56aef2Ldvn2oHyPSEhoammn+pSZMmbN++ne3bt7Ny5UqaNGnC6NGjOXXqlFq9wMBAKlasSOnSpQFo1qwZOjo6BAQEaLSZP39+3r59S0JCQobGJ4QQQgghhBBCfK5MzXxSKBRs3bqV7du38/TpU61Li3R0dLh161ZmuhFCg5mZGbly5VItiUtLREQEBgYGmJmZqZVbWFigUCiIiooCIDk5GUtLy1TbiYyM1Lqjo4WFBREREQCYmpqyevVqFi5cyOjRo0lKSsLFxYXx48erZkJpEx8fj6GhodZj5ubmVK5cWfW6Vq1a3Lp1izlz5qhmS92/f5/g4GAGDx6s+jk0MTGhUqVKBAYGauRdU/YVFxeXoWWLQgghhBBCCCHE58pU8GnmzJmsWbOGChUq0LJlS0xNTbNqXEKkSV9fHycnJ86ePUtiYiL6+qm/lU1NTUlISCAiIkLtPfrmzRt0dHQwMTEBUnIhvX79Os12wsLCNMrfvHmj1q69vT0rVqwgNjaWc+fOMWPGDAYOHMjhw4fTbDu9vFBKOjo6lC5dmqNHj6rK/P39AfD19cXX11fjnJs3b1KxYkXV68jISAwMDMibN2+G+hRCCCGEEEIIIT5XpoJPu3fvplGjRixYsCCrxiNEhnl7e9O3b1+WLVvGoEGDNI4fP34cd3d3nJ2dAdi/fz+dOnVSHd+/fz92dnYYGxsD4ODgwJ49e+jZs6fWpXfOzs6sXLmSP//8U5ULKjExkcOHD6v6+FDu3Llxd3fnyZMnTJ06lbi4OK0JxQGsra0JCQnJ0HUrFAru379P/vz5VWV79+7FwcGBESNGqNVNSEigf//+BAQEqAWfnj17hrW1dYb6E0IIIYQQQgghMiNTwafY2Fhq1qyZVWMR4pO4u7vTu3dvfH19uXfvHs2aNSN//vyEhISwY8cOoqKicHd3p3z58jRq1Ijp06cTGxuLtbU1/v7+BAUFsWTJElV7I0eOpEePHvTo0YNvvvkGU1NTbt68Sf78+Wnfvj1169bF3t6e7777jpEjR6p2u3v9+jULFy4EUpKSb9++nQYNGlC0aFHevHnDhg0bcHJySjXwBODk5MTvv/+u9dibN2+4cuUKkLKEMDAwkDt37jB8+HAAgoKCePr0KQMGDKB69eoa59etW5e9e/cyevRodHVT0rzduHFDa8DsU+lb5E+/khBfMfkZEEIIIYQQIn2ZCj7VqFGD69evq80mEeKf9N133+Ho6MjGjRv5/vvvef/+PZaWlri5udGrVy9VvVmzZjF37lz8/Px49+4dpUuXZuHChXh4eKjquLi4sG7dOubPn8+4cePQ1dWlXLlyDBs2DAA9PT1+/fVXZs6cyaxZs4iJiaFixYqsWrWKSpUqASkJx3V1dZk/fz5hYWGYmZnh5uamMSPpY56enixfvpxHjx5RqlQptWMHDhzgwIEDAOTJk4eSJUsydepU2rVrB6QkGjcyMsLT01Nr261bt+bQoUOcO3eOGjVqEBYWxs2bN9MdU0bkb9so020I8W+nSE5GR1f27xBCCCGEECI1OgqFQvG5J7969YrevXvTrFkzOnXqpLYMSAjxadq2bYuHh4fWJYRZaePGjaxZs4aDBw9maLdAba5fv058fDx2dnYYGRll8QjF53r//j0PHz7E2tpanksOERMTQ3BwMBUqVFAt8RVfnjyXnEmeS84kzyVnkueSM8lzyZnkuWSv69evA6htkqVNpn5V27hxY54+fcqCBQuoWbMmDg4OODk5qf3JiqU9n+Pw4cM4OTlx586dL9K/EJ/Kx8eHLVu2EB8fn219JCcns27dOgYOHPjZgSchhBBCCCGEEOJTZCr45OnpSZMmTWjdujWtW7emSZMmeHp6qv1p1Cjjy3J8fX1xdHTMzJCAlBlZEyZMYPbs2djY2HxWG76+vtja2mr98+uvv6Z57po1a7C1tf2sfrPa1KlT1ZaWZYby+jdv3qxx7NSpU6rjGU2cnR0+fg+dO3cOW1tbVTQ2LXPmzMHJyYkFCxZw5swZevTokY0j1eTo6Mi7d+84ffq0qszDw0PtvVe9enW+/fZbLl68mGo7AwYMwNbWlt27d2scu3r1KiEhIVkSFDY0NJTZNTmMkZHRf3I2miI5+UsPQQghhBBCCJGGTOV8mj59elaNI8skJyczevRoevTokemgS+7cuVm7dq1GeZEiRTLV7r+ZsbEx+/bto0uXLmrlgYGBGBsbExMT84VGlnmbNm1i2rRpbN68mTVr1vDLL7/8o/0vXboUNzc36tatq1bu6elJz549AQgLC2Pt2rX07t0bf39/SpQooVb33bt3nDx5Ekh5Jq1bt1Y77ujoSPPmzVm0aBEzZszI9Jjf7jxI4pu3mW5HiM+lb5Ffco8JIYQQQogvYuPGjUyePBl7e3u2bdv2pYeTo2Uq+JQT6erqag0YfW5bDg4OWdJWdoqNjSV37tz/SF/169dn7969vHr1ikKFCgEQHx/PoUOHaNCgAf7+/v/IOLLDpUuXAFJN3J2d/v77b3bs2MHMmTM1jllYWKi9D11cXKhevTonT56ka9euanUPHDhAQkICNWvW5MyZM4SFhVGgQAG1Ou3bt8fb25sxY8Zgbm6eqXEnvnlL4svQTLUhhBBCCCGEEP9GAQEBWFlZce3aNR4/fkzJkiW/9JByrEwtu9u9e3eG/mSV1Jblubi44Ovrq3rt5eVFv379VK9fvnzJ0KFDqVmzJpUrV8bDwyPLZrVER0czevRoHB0dcXV1ZebMmSQlJanV2blzJ7a2toSHh6uVt2rVirFjx6peBwUF0b9/f9zc3HBwcKBVq1Ya90+5jOzYsWMMGTIEJycnhg4dCqQsN+zfvz9VqlShdu3a+Pn5aR3zX3/9Ra9evXBwcMDZ2ZkhQ4bw/PnzDF1vhQoVKFWqFPv27VOVHT9+HIVCoTFjB2DVqlW0a9cOZ2dnatSoQb9+/Xj48KFGvS1btlCvXj2qVKmCt7c3t27dwtbWlp07d6rq7N69my5dulCtWjWqVq2Kl5cX165dy9C4IyMjGTlyJI6OjtSrV0/j3mTk3ivb+emnn3Bzc6NSpUq0bduWP//8U63OpUuX6Nq1K87Ozjg6OtKiRQt27dqV5viUu9nVqVMn3WsxMjJCT0+PxMREjWOBgYGULFmSsWPHkpiYqPaclJydnTEzMyMgICDdvoQQQgghhBBCaHr69ClBQUGMGzcOc3Nz+X6VjkzNfPowcPKxD5MZf7z05582evRoXr9+zfjx4ylQoAAvXrzgxo0bGTpX2xd8ff3/3bbvv/+ekydPMmrUKIoVK8amTZsIDAz8rHE+f/4cJycnunTpgqGhIZcvX2b8+PEoFAratGmjVnfChAm0bNmSxYsXo/v/W3z7+Pjw6tUrfvrpJ0xMTPDz8+PFixdq433x4gXdunWjePHizJo1i7i4OObNm0e3bt3w9/cnb9686Y6zWbNmBAYG4u3tDaQEPBo2bEiuXLk06r58+ZJu3bpRtGhRoqOj2bJlC507d+bAgQOYmZkBcOTIESZOnEiHDh3w9PQkODiYYcOGabQVEhJC69atKVGiBPHx8ezdu5euXbvi7++PtbV1mmOeOHEirVq1YvHixRw+fJjZs2dja2urCvZk5N7Hx8fj7e1NWFgYw4YNo1ChQvj7+9OvXz9VgDE6Opp+/frh7OzM3LlzMTQ05N69e0RGRqY5vtOnT2NnZ6f1HioUCtX7MDw8nKVLl6Knp6cR7Hv58iUXLlzAx8cHW1tbbGxsCAwMxMvLS62erq4uVapU4fTp03Tv3j3NcQkhhBBCCCGE0BQQEICpqSnu7u54enoSEBCgtnN5SEgI9evXZ/To0eTNmxc/Pz9evnyJra0tEydOxN7eXq29M2fO4Ovry61bt9DX16dq1aqMGjWKMmXK/NOXli0yFXw6cuSIRllycjIhISFs3ryZ58+fZ0lemcy6fv06I0aMoGnTpqqyjATEYmJiqFixokb5xo0bcXFx4d69exw8eJApU6bQvn17ANzc3D4pyfqHmjVrpvq7QqGgatWqvHr1iq1bt2oEnzw8PPjuu+9Ur0+cOMGNGzdYs2YNNWrUAKB69eq4u7urgjyQkgw9MTGRVatWqcorVKhAs2bN2LVrl0agQpvmzZvj6+vLkydPKFCgAMeOHWPx4sXExsZq1P3+++9Vf09KSqJWrVrUqFGDAwcO0KlTJyAl15GrqytTpkwBoHbt2iQmJrJgwQK1tj78QU5OTqZWrVpcu3aNXbt2MWLEiDTH3KhRIwYPHgxAjRo1OHbsGAcOHFAFnzJy7wMCArh9+zZ79uyhbNmyqrE+fvyYJUuWsGDBAh4+fEhUVBQjRoxQJZ1XPo+0XL9+nVq1amk9tmnTJjZt2qR6nTt3bmbMmKExpTMwMBCFQkHz5s0BaNGiBXPmzOHJkycauaHKly/Pxo0b0x2XEEIIIYQQQghNAQEBNGzYEENDQ5o3b87mzZu5du2aRlApMDCQv//+m06dOqGjo8OKFSsYPHgwhw8fxsDAAEiZjNCnTx+KFSvGoEGDiI2NZcOGDXTp0oWdO3dSrFixL3GJWSpTwScrKyut5cWLF6dGjRr07duXDRs2MHHixMx0k2l2dnasWrUKPT09atWqleF1mLlz52bDhg0a5aVLlwZSAgYKhYKGDRuqjunp6dGgQQPWrFnzyeOMiIjA19eXI0eO8OrVK9XyvQ+DR0ofz3q5du0aJiYmaoEOExMTatasya1bt1RlFy9epHr16mptlilThvLly3Pp0qUMBZ9KlSpFxYoVCQwMxMrKijx58lCjRg3++OMPjbpXrlxhwYIF3Lp1i3fv3qnKHz16BKQEpIKDgxk9erTaefXr19cIPt2/f5+5c+cSFBREWFiYRltpcXNzU/1dR0eHMmXK8PLlS1VZRu79qVOnsLGxoVSpUmoz4mrWrKnKdVWiRAny5s3LTz/9hJeXF66urhnKqxQaGppqvSZNmtCrVy/VOAMDAxk9ejT58uVTC1gFBgZSsWJF1fuzWbNmzJ07l4CAAAYOHKjWZv78+Xn79i0JCQmqDzwhhBBCCCGEEOm7ceMGDx48YMKECUBKapPChQsTEBCgEXx6/vw5Bw8exNTUFABra2t8fHz4888/qVevHgAzZ87E1NSUrVu3qr6DNmjQgDZt2uDr65sjJvVkVrYmHK9bty4LFiz44sGnefPmMW/ePObPn8+kSZOwtrZmxIgR6c5Q0tXVpXLlyqkeDw0NxcDAQPUmUvo4wXNGjR07lqCgIAYOHEjZsmXJmzcvmzdv5vfff9eo+3Efr1+/1hq8+LheZGQkFSpU0FovIiIiw2Nt3rw5O3bsoGjRojRp0gQ9PT2NOs+fP6dnz55UqlSJSZMmYWlpiYGBAf369SMuLg5IWUaWmJioMfaPxx0dHU3Pnj0xNzdn7NixFC1alFy5cjF+/HhVW2kxMTFRe21gYEBUVJTqdUbu/du3b7l165bW2XDK6zc1NWX16tUsXLiQ0aNHk5SUhIuLC+PHj1fNhNImPj4eQ0NDrcfMzc3V3oe1atXi1q1bzJkzRxV8un//PsHBwQwePFi1xM/ExIRKlSoRGBioEXxS9hUXFyfBJyGEEEIIIYT4BAEBAVhYWFC9enUgZYJD06ZN8ff3Z+zYsWrfj5s2baoWM3BxcQFSckZBynf54OBgevfurTb5oXz58tSsWZPjx4//A1eU/bI1+PT06VPi4+OzrL1cuXKRkJCgVpaQkEBMTEya51laWjJt2jSSk5O5ceMGS5cuZfjw4ezfv5/ixYt/9ngKFixIQkICERERam+mD2flKMetHOuHPswDFBcXx7Fjxxg7dqza7KMPl1t96MOcWpByjR8nNNc2FlNTU40yZb1SpUpp7Uubpk2bMnPmTB48eJDq8q2TJ08SExPDokWLyJcvH5CSQ+vDIJe5uTn6+voaY/94jFeuXOHly5csX76c8uXLq8qjoqIoXLhwhsetTUbvvampKba2tkydOjXN9uzt7VmxYgWxsbGcO3eOGTNmMHDgQA4fPpzqOaampunmhVLS0dGhdOnSHD16VFWmnHnl6+urlnxf6ebNm2pBs8jISAwMDDKU40sIIYQQQgghRIqkpCT27t1L9erVCQkJUZXb29uzatUqzpw5o7bypkiRImrnK2MHyu9/ys2/tOUxLlOmDH/++ScxMTEYGxtn+bX8kzIVfLpw4YLW8sjISC5evMj69eupX79+ZrpQU6hQIRISEtRy2Jw9e1Zjd7nU6OrqYm9vz7Bhwzh69CiPHz/OVPBJORvl0KFDqpxPSUlJGkGGQoUKAfDgwQPV3+/fv8+LFy9UdeLj40lOTlabhRIdHa0WYEhvLFFRUZw5c0a19C4qKorTp0+rRU+dnZ357bff1AJmDx484K+//qJdu3YZvvbChQvTvXt3wsPDcXJy0lonNjYWHR0dtYTnv//+u9qSNT09PSpUqMCRI0fUkl9/fA+V+aQ+vD+XL1/m2bNnlCtXLsPj1iaj914Zdba0tFQ9x7Tkzp0bd3d3njx5wtSpU4mLi9OaUBxSPmg+/OBKi0Kh4P79++TPn19VtnfvXhwcHDRyXyUkJNC/f38CAgLUgk/Pnj1LN0m7EEIIIYQQQgh1Z8+eJTQ0lL1797J3716N4wEBAWrBJ22rhCDle91/SaaCT15eXhozcCDlJurp6dG4cWPGjx//SW0mJSWxf/9+jXJ7e3vq1KmDsbEx48ePp0+fPrx8+ZJ169al+oUeUgIwvXr1olWrVlhbW5OQkMD69evJly8fdnZ2aY4lOTmZK1euaJQXKFCA4sWLU7ZsWRo2bMgvv/xCXFycare7j2c4ValShSJFivDLL78wcuRIoqOj+fXXX9WCQiYmJlSuXBk/Pz/VbKBff/2VvHnzap3R9LE6depQsWJFvvvuO0aNGoWJiYnq/A/16NGDnTt30rNnTwYMGEBcXBzz58+nSJEiGknN0zNu3Lg0j7u6uqrqde7cmbt377J69WrVLCilAQMG4OPjw/jx42ncuDG3bt1i9+7dAKqd/BwcHDA2NmbSpEn07duXV69e4evrm6EgUHoyeu9bt27Nli1b+Pbbb+nZsyelSpUiKiqKW7dukZCQwMiRIzl27Bjbt2+nQYMGFC1alDdv3rBhwwacnJzSfJ86OTlpXV4J8ObNG9X7UJnz6c6dOwwfPhyAoKAgnj59yoABA1TTPj9Ut25d9u7dy+jRo1X388aNGzg7O3/uLVPRt8iffiUhspG8B4UQQgghxD8pICCAAgUK8OOPP2ocO3ToEIcOHWLSpEkZbq9o0aIAPHz4UOPYgwcPyJ8//79+1hNkMvi0bt06jTIdHR3y5cuHlZXVZy3piYuLY+jQoRrlM2fOpFWrVixcuFC1jKlChQrMnDkzzSTZuXLlwsbGhvXr1/PixQty585NpUqVWLlyZbqJoGNjY1U7sn2offv2qqVXv/zyC5MnT2b27NkYGhrSpk0bqlWrxsyZM1X1DQwMWLRoET/99BNDhw6lRIkSfP/990yfPl2t3Tlz5vDjjz8yduxYzMzM8PLyIiYmhlWrVqU5Tki570uWLGHixIn8+OOP5MuXDy8vL968eaO2K2GRIkVYv349M2fOZNSoUejq6lKrVi3Gjh2b5UuwbG1tmTZtGosWLaJfv35UqFCBBQsWMGzYMLV69evX56effmL58uX4+/tTpUoVfvrpJ3r27Kkak4WFBQsWLGDmzJn4+PhQqlQpJk2axIoVK7JkrBm594aGhqxbtw5fX1+WLVtGaGgoZmZm2NnZ8c033wApCcd1dXWZP38+YWFhmJmZ4ebmlu5ufJ6enixfvpxHjx5pLH88cOAABw4cACBPnjyULFmSqVOnqmaqBQYGYmRkhKenp9a2W7duzaFDhzh37hw1atQgLCyMmzdvpjumjMjf9vN2dhQiKymSk9H5/8CqEEIIIYQQ2SU2NpaDBw/SuHFjGjdurHHc0tKSwMBAjh49qpF4PDWWlpZUqFCB3bt3069fP9VkjTt37nDq1ClatmyZpdfwpego/mtzvcS/wrZt2xg/fjxHjhz5KraVzIi2bdvi4eHBoEGDsrWfjRs3smbNGg4ePKh15mJGXL9+nfj4eOzs7DAyMsriEYrP9f79ex4+fIi1tbU8lxwiJiaG4OBgKlSo8FX8xuprIc8lZ5LnkjPJc8mZ5LnkTPJccqasfC779u1j+PDhLF68mAYNGmgcT05OplatWlSpUoXx48dTv359Ro8erdq9XMnW1pZBgwYxePBgAE6fPk2fPn0oUaIE7du3JzY2lg0bNpCUlMSOHTsylS4ou12/fh0gzc3a4DNmPvXv3/+T6uvo6LB06dJP7Ub8h7x7945Fixbh6upKnjx5uH79OsuWLaN+/fpZEnh68eIFLVq0YOLEibRo0SILRpw9fHx8+Omnn+jbt2+qO99lVnJyMuvWrWPgwIGfHXgSQgghhBBCiP8if39/cuXKpdp1/GO6urrUrVuXgIAA3r17l+F2a9asyYoVK1i4cCELFy5EX1+fqlWr8t133+XowNOn+OTg07Fjx8iVKxcWFhYZSpCV07/g+vv7s27dOh4+fIhCoaBQoUI4OTkxYsQIChQokOX9rVmzBmtra9zd3bOkPV9fXxYtWqR6bWZmRunSpenfv79GH7a2tmpR1507d2JgYJDtARkXFxe6d++uiup+TF9fn6dPnxIYGEhUVBT58+enVatWjBo1Smv9v/76i19//ZVz587x7t078uXLh5OTE127dlUlW1dSKBR8//33tGvXLsuvc+fOnYwbN44zZ86ku4QzIxwdHXn37h2nT5+mbt26AHh4ePDs2TNVHTMzM2xtbRkyZIhqi86PDRgwgKNHjzJjxgxat26tduzq1auEhIRkSb4nQ0NDmV2TwxgZGaWby+5LkuVxQgghhBDi32zZsmXp1pk2bRrTpk0DUr67aqOtvEaNGhrfZ78mnxx8KlSoEK9evSJ//vw0b96cZs2aUbBgwewYW7bz8/Njzpw59OjRgyFDhqBQKLh79y4BAQG8fv06W4JP69ato27dulkWfIKUXdXWrl0LwOvXr1m2bBn9+/dn48aNajvRbd26VZXMDGDXrl0YGxt/8dlAefPmZfny5Rmqe/jwYYYPH065cuUYPnw4JUqUIDw8nIMHD9KzZ0/Onz+PiYmJqv7mzZtJSkpi9OjRWT7uunXrsnXrVo0E6p9r6dKluLm5qQJPSp6envTs2ROAsLAw1q5dS+/evfH391ft+qj07t07Tp48CaTkgvo4+OTo6Ejz5s1ZtGgRM2bMyPSY3+48SOKbt5luR3z99C3yS44wIYQQQggh/qM+Ofh0/Phxzp8/T2BgIEuXLmXWrFlUrVqVFi1a4OnpmeVJq7PT+vXradOmDWPHjlWVubu707t3b5KTk7/gyD6Nrq4uDg4OqtdVqlTB3d2d3bt3qwWfPqzzbxQaGsqYMWNwdnbm119/VVua5unpSYcOHdDXV39Lf/PNN6pk4FnN3Nw8S2Y8Afz999/s2LFDLVG9koWFhdqzc3FxoXr16pw8eZKuXbuq1T1w4AAJCQnUrFmTM2fOEBYWphFEbd++Pd7e3owZMybT409885bEl6GZakMIIYQQQgghxNfts9Y/VKtWjcmTJ/Pnn3+yYMECzMzM+Pnnn6lZsyaDBg1i//79xMfHZ/VYs1xkZCSWlpZaj+l+sDRk9+7ddOnShWrVqlG1alW8vLy4du2aWn1fX18cHR3566+/6NKlC1WqVKF58+aqWSjwvyVUGzduxNbWFltbW3bu3JnhPjKqUKFCmJub8/z5c7VyW1tbVq5cCYCXlxfnz5/n2LFjqrH4+voCKUsrvb29qVGjBk5OTnTo0IETJ05kqO/Dhw/TuHFjKleuTPv27VO9hmPHjtGhQwfs7e1xdXVl4sSJxMTEpNn2b7/9RnR0NOPGjdOaE8nV1VW1DCwj1xAZGcn48eOpXbs2lStXxt3dneHDh2f4+M6dO7G1tSU8PFxVNnv2bFq0aIGjoyO1a9dmxIgRvH79Ot37ptzNrk6dOunWNTIyQk9Pj8TERI1jgYGBlCxZkrFjx5KYmMi+ffs06jg7O2NmZkZAQEC6fQkhhBBCCCGEEJn1yTOfPmRgYECDBg1o0KABf//9N4cOHWLLli0MHz6cQYMGMXDgwKwaZ7aoWLEiW7ZsoVixYtStWzfV5YMhISG0bt2aEiVKEB8fz969e+natSv+/v5YW1ur6iUkJDBq1Ci+/fZbfHx88PPzY8iQIRw9epT8+fOzaNEi+vbti5OTk2oZlXLZVEb7yIi///6biIiINJN1T5w4ke+++47cuXMzZswYAAoXLqwaS7169ejZsye6urqcOHGCvn37snbtWqpXr55qm8HBwQwZMoQ6deowbtw4QkJCGDZsmEYgcv/+/QwfPpy2bdsyePBgQkNDmTNnDpGRkcybNy/V9i9cuIClpSW2trbp3oMnT55Qp04dvL290dPT03oN06ZN4+TJk4wcORIrKytCQ0PVAlTpHdcmLCyMfv36YWlpSXh4OKtXr8bLy4u9e/dqzMr60OnTp7GzsyNXrlwaxxQKhSrQFB4eztKlS9HT09NYnvfy5UsuXLiAj48Ptra22NjYEBgYiJeXl1o9XV1dqlSpwunTp+nevXua1yOEEEIIIYQQQmRWpoJPSvHx8fz5558cOXKEW7dukStXLqysrLKi6Ww1ceJEBg0axPjx4wH+j727Dosq+x84/gYEBQsLW8EARUFUxMK1RcXuXgVFxY41VldXd+0WMdZWXDvBLrA7sHVVbBEBRaSZ+f3Bb+bLOEMYCOt+Xs/jI3Pvueece8+9A/OZExQpUoS6devSs2dPjcDNwIED1T+rlk709/dn586dDB8+XL1PFXxSzedkYWFB/fr1OXHiBC1btsTa2hojIyOtYVSfU0ZSVMGJN2/eMGvWLLJmzUqPHj2STF+qVCmyZcuGiYmJVl26deumUZeqVavyzz//sGXLlmSDT3/99RcFCxbE09MTAwMDADJnzsy4cePUaZRKJTNnzqRp06ZMmTJFvT1fvny4ubnh7u5O6dKldeYfGBioMWdVcj4995o1a2qdw40bN2jWrBmtW7dWp3N2dlb/nNJ+XVQTywHEx8dTsWJFfvrpJ86dO4ejo2OSx924cSPJFRP+/vtv/v77b/XrLFmyMGPGDIoXL66RzsfHB6VSSbNmzQBo3rw5c+bM4enTp1pzQ5UpU4YNGzYkey5CCCGEEEIIIcS38MXBJ4VCwenTp9m7dy9HjhwhKiqK6tWr88cff9CwYUNMTEy+ZT3ThKpnyNmzZzl16hQXL15k/fr17Nixgw0bNlC2bFkAHj58yNy5c7l69SrBwcHq4wMCAjTy09fX15idvkiRImTJkoXAwMAU65LaMnSJiIigXLly6tcGBgYsXryYEiVKpHisLq9fv2bevHmcOXOGoKAg9aqGicvQ5fr169SrV08deAJo3LixRvDp8ePHvHjxgl9//VVj2JiDgwP6+vrcvHkzyeATpH71xKCgIBYtWsS5c+d48+YNcXFxxMXFqdsUwNramp07d5IvXz5q1aqFpaWlRh4p7dfFz8+PJUuW8ODBA8LDw9XbAwICkg0+BQUFJTn/UpMmTdQrFL5//x4fHx9GjRpFjhw5NAJWPj4+lCtXTt3uzs7OzJ07F29vb61eiLly5SI0NJTY2FgMDQ1TPC8hhBBCCCGEEOJLfXbw6cqVK/j4+HDgwAHevXtHhQoVGDZsGE2aNPlmky9/T0ZGRtSuXVvdW+nkyZP07dsXT09PFi1aRHh4OC4uLuTOnZsxY8ZQqFAhMmfOzPjx44mOjtbIK0uWLFpzERkaGmql+9TnlKFLlixZ8PLyQqlUEhAQwJw5cxg9ejTe3t5JzmmVFIVCQf/+/fnw4QODBw+mePHiGBsbs3DhQl69epXssUFBQVqTW2fLlk1jKFloaMLKaEkNyUyujPz58/Po0aPPOodBgwZhbm6OsbExs2bN4vnz5+p0v/32Gzlz5mT16tXMnDmTggUL4ubmpp6gPKX9n/L398fd3Z369evTp08f8uTJg56eHh06dEixHWNiYnTOYwUJE5vb2NioX9esWZPbt28zZ84cdfDp4cOH3Llzh0GDBhEWFgZA9uzZKV++PD4+PlrXW1VWdHS0BJ+EEEIIIYQQQqSpzw4+denShSxZsvDTTz/RrFkz9fC6V69eJRk4SKnHTEZSq1YtypQpw8OHDwG4du0ar1+/ZtmyZZQpU0ad7sOHD+o5kr7W15ahr6+vDk7Y2tpiYWFBhw4d8PT0ZNKkSZ9VlydPnnD79m08PT1p0KCBentUVFSKx+bLl0+j1xYkBNYSB15MTU0BmDBhAra2tlp5JBcsc3Bw4OzZszx48CDZ3lFPnz7lxo0bLFmyhHr16mnUJbHs2bMzbtw4xo0bx71791i3bh2TJk3C0tISe3v7FPd/6siRI2TLlo358+erJ6x/8eJFkvVMLGfOnOqgUUr09PQoUaIEx44dU2/bs2cPkDDxvWri+MRu3bql8RyGhYVhaGj4r1qdUgghhBBCCCHEv9MXDbuLiori0KFDHD58ONl0SqUSPT097ty580WVS2tv374lb968GtuioqJ49eoVpUqVUr8GNHqHXLlyhRcvXiQbAEmKrp5Q37oMGxsbnJ2d2bFjBwMHDkxyInVddVG9TlyXFy9ecPXqVczNzZMt19bWluPHjzN27Fj10LsDBw5opClRogQFChTg2bNndO3a9bPOq3379qxcuZJp06axbNkyrR4758+fx9bWlsjISACN4X/Pnj3j6tWrSU7ebmVlxdixY9m2bRsPHz7UCi6ltB8S2tHQ0FBjaGBqV5SzsLDQ6JWVHKVSycOHD8mVK5d62969e7Gzs9OaHyw2NpZ+/frh7e2tEXx68eLFZ09kL4QQQgghhBBCfInPDj4lnlD536558+bUrVsXR0dHzMzMCAwMxMvLi9DQUPUqYHZ2dpiYmDBp0iTc3NwIDAzEw8OD/Pnzf1GZJUqU4Ny5c5w+fZocOXJQpEiRb14GgLu7O/v27WPt2rWMHDkyybrs2rWLY8eOkS9fPszMzNTBoTlz5qBQKIiIiGDhwoWpGr7n5uZGu3btGDBgAJ07d+b58+esXLlSY9idnp4eY8aMYeTIkURERFCnTh2MjY15+fIlfn5+DBs2LMmgSL58+ZgxYwZDhw6lc+fOdO3alaJFixIaGsqRI0fw9vbm/PnzlCxZkvz58zN79myNc/j0enbq1ImGDRtSunRpDAwM2LVrF4aGhurAUkr7P1WzZk3Wrl2rnvfs6tWr7N69O8XrBlCpUiX279+vc9/bt2+5du0a8L85n+7fv8+wYcMAuHr1Ks+ePaN///46J4SvU6cOe/fuZdSoUeoeWTdv3qRy5cqpqltyMuXNlXIiIZB7RQghhBBCiP+yzw4+JV75699u4MCBHD9+nOnTpxMSEkKuXLmwsrJizZo1VKtWDYC8efOyYMECZs6cibu7O+bm5kyaNIkVK1Z8UZnDhw/n999/Z9CgQXz8+JFp06bRpk2bb1oGJASWmjZtysaNG+nbty/Zs2fXStOnTx+ePn3K6NGjCQsLY+DAgQwaNAgPDw8mT57MkCFDKFiwIP379+fcuXPcvHkz2TKtra1ZsGABs2fPZuDAgZQuXZp58+apJ8tWadKkCTly5GDp0qXqnkGFCxemVq1aWj3RPtWgQQO2bdvG8uXLmTNnDqGhoeTIkYPKlSuzatUq9XkuWrQoxXOoVKkSu3bt4vnz5+jr62NpacnSpUspWbJkqvZ/qnbt2owcORIvLy927NhBpUqVWLZsGU5OTsmeE4CTkxPLli0jICBAq4fZwYMHOXjwIABZs2alePHiTJkyhbZt2wIJE40bGxsnWU6rVq04fPgw58+fp3r16gQHB3Pr1q1UraKYklxtGn11HuK/Q6lQoPf/AVAhhBBCCCH+y/bv38+ePXu4desWYWFhFC9enO7du9O2bVuN0TRbt25lxYoVvHz5EgsLC4YNG0bdunXV+2NiYpg/fz7Xr1/n1q1bREZGcvbsWZ1zcm/fvp3ly5fz/PlzChYsSI8ePejevft3OV89pWopMyFEumrTpg316tVj4MCBaVrOhg0bWLNmDYcOHUr16oGfunHjBjExMVhbW2NsbPyNayi+VGRkJI8fP8bCwkLaJYOIiIjgzp07lC1b9l+xCux/hbRLxiTtkjFJu2RM0i4Zk7RLxpRR26Vjx44ULlyYBg0akCtXLs6cOcOKFSsYMGCA+jPh3r17GTFiBP369aNatWrs27eP7du3s2HDBuzs7ICE+Xzr16+PjY0Nenp6nDp1Smfwad++fQwbNowePXpQp04dLl26xLJly/j111/p1q3bF5/HjRs3ADQWydLli+Z8EiKjWrhwIT4+PmzdupWcOXOmd3U+i7u7O7///jtubm5Jrnz3tRQKBevWrWPAgAFfHHgSQgghhBBCCPF1lixZohEgql69Ou/evWP16tW4u7ujr6/PwoULcXZ2ZujQoQBUq1aN+/fv4+npyfLlywHIkSMHFy5cQE9Pjx07dnDq1Cmd5S1cuJBGjRoxbtw4IGHamLCwMDw8POjYsWOar4Iu4x+EFg8PD6ysrNT/bGxsaNKkCcuXL0ehUHx2ft27d6dv375pUFNN/v7+eHl5sXjx4jQNPFlZWbFy5Ur16291fg0aNMDAwIBly5apt40ZM0ajLezs7GjRogVbt25NMp81a9ZgZWXFr7/+qrXv9evXvH///psEnoyMjKR3TQZjbGycJr3RlF/w3AshhBBCCCGSpmtYXNmyZQkPDyciIoJnz54REBBAkyZNNNI0bdqUs2fPEhMTo96W0ue7yMhIAgICqFmzpsZ2R0dH3r17p55jOC1JzyehU5YsWVi7di2QsIrb+fPnmTNnDkqlEjc3t8/Ka+LEieqJrtNKZGQko0ePZurUqeqVCr+Xb3V+hw8fJiYmhj59+mhsL1q0KLNnzwbg48ePHD58mPHjx2NiYoKzs7NWPnv27FHn9/vvv2v0oipUqBC//PILixYtwtnZmUyZvu4tIHTHIeLehn5VHiJjy5Q3l8ztJYQQQgghMqz4+wHEX7iBMvi9zv16ingsIiPRO3GTaH0DnWm+hl6enBg42GBgaf7VeV2+fJn8+fOTLVs2Ll++DKC1IFfJkiWJjY3l2bNnSc5H/KmYmBiUSqXWCBvV64cPH1KlSpWvrn9yJPgkdNLX11ePIYX/de87dOjQZwefvkcwyNjYOMnV4tLatzq/tWvX4uzsTJYsWTS2Z8mSRaMtatasybVr1zh06JBW8Onx48fcunWLGjVqcObMGXx9fWnUSDNw0LRpU/788098fX1p0KDBV9U57m0oca+DvioPIYQQQgghhPgS8fcDiP1rGyTTU18PSJjpKYy0mPBa+eQlimv3wK09BpbFvzifS5cusW/fPkaPHg0krHQOCcPqElO9Vu1PjZw5c2Jqaoq/vz9t2rRRb0+8qnpak2F3ItWyZs1KXFycxrbZs2fTvHlzKlasSK1atRg+fDhv3rzRSPPpsLSHDx8ybNgwateuTYUKFWjatCmrVq3SGNL3/PlzrKys2L17N5MnT6ZKlSo4OjoyY8YMrTpcvHiRTp06YWtrS9WqVRk7dizv3r3Tymvnzp38+uuvVK5cGQcHB6ZNm6aV171793B1dcXOzo7KlSszePBgXr58mex1+fT8Xr9+zZAhQ6hRowY2NjbUq1ePqVOnJpvHs2fPuHTpEo0bN042nYqutoCEle/09PSYPHkyefPmVa8mmJixsTG1a9dm586dqSpLCCGEEEIIITKi+As3kg08fTcKBfEX/L/48NevXzNs2DCqVq1Kjx49vmHF/qdLly7s2LEDb29v3r9/z/Hjx1m3bh2Q8rC9b0F6PokkqYIbqmF3hw4d0prbKDg4mL59+2JmZkZISAirV6+me/fu7N27N8khXW/evMHCwoLmzZuTNWtW7ty5g4eHBxEREVorvc2fP5/69eszf/58rl69ioeHB8WKFaNz584A3Lx5k169elG1alUWLFjA27dvmTNnDv/88w+bNm3CwOB/3Srnzp2Lo6Mj8+fP5/bt2yxcuBBDQ0NGjhwJwKtXr+jWrRtFixZl1qxZREdHM2/ePLp168aePXvIli1bqq7bqFGjePPmDePHjydPnjy8evWKmzdvJnvMuXPnyJQpE7a2tjr3q9oiIiKCQ4cOceXKFWbMmKGVzsfHB3t7e4oWLUqTJk3YvHkzHz58IHv27BrpKlasyMKFC1EoFGk+JFIIIYQQQgghhG5hYWH06dMHU1NTPDw81J/PVPMYf/jwgXz58mmkT7w/tfr27cvTp0/55ZdfUCqVmJiYMHLkSCZPnqyRf1qR4JPQKSIignLlymlsa9q0qdaQu2nTpql/jo+Pp2LFivz000+cO3cOR0dHnXlXr16d6tWrA6BUKqlcuTJRUVF4eXlpBZ9sbW0ZP348kDDc7Pz58xw8eFAdfFq6dCn58uVj6dKl6tn5CxYsiKurK35+ftSrV0+dV7FixdT1rVWrFlFRUaxevZo+ffqQM2dO1qxZQ1xcHKtWrcLU1BRImPDN2dmZnTt30r1791Rduxs3bjB8+HCaNm2q3taqVasUjzE3N9e5yt2DBw+02sLFxYUWLVpobPP39ycgIIBevXoB0KxZM9avX8/Bgwdp166dRtoyZcoQHh7Ow4cPKV26dKrOSwghhBBCCCEyEgMHm4Qhb+nd+0lfHwMH3R0JkhMVFUXfvn358OEDmzdv1ug0UKJECQAePXqk/ln12tDQkKJFi35WWVmyZGHOnDmMGzeOoKAgihYtyj///ANAhQoVPrvun0uCT0KnLFmy4OXlBSRMTnbr1i0WLlzI+PHjNQJOfn5+LFmyhAcPHhAeHq7eHhAQkGTwKTo6mmXLluHt7c2rV6+IjY1V7/v48SNZs2ZVv/40j5IlS3Lu3Dn160uXLtGsWTONZSEdHR3JkSMHly9f1gg+NWzYUCMvJycnFi9ezP3796lSpQqXLl2iatWq6sCTqrwyZcpw+fLlVAefrK2tWbVqFQYGBtSsWZPixVMe9/vmzRty5cqlc1+xYsWYO3cukPDmdOnSJTw9PcmaNatGsM7HxwdDQ0P10D07OzuKFi2Kt7e3VvBJVVZQUJAEn4QQQgghhBD/SgaW5uDWnvgL/klOOK5QxBMZGYmxsTH6aTbhuO1nz/cUFxfH0KFDefToERs2bCB//vwa+4sWLYq5uTkHDhzQmKt33759VK9eXWfHhdTInTu3eqW9DRs2YG9vrxHcSisSfBI66evrY2Njo35duXJl4uPjmT59Or169cLS0hJ/f3/c3d2pX78+ffr0IU+ePOjp6dGhQweio6OTzHvWrFls3bqVAQMGUL58ebJnz87Ro0dZsmQJ0dHRGsGnT4eLGRoaaiwpGRYWRp48ebTKyJMnj9akaZ8uZZk3b14gIQCjyqts2bKpyis58+bNY968ecyfP59JkyZhYWHB8OHDtSb+TiwmJibJN4/MmTNrtEWVKlUIDg5m6dKldOvWDVNTUxQKBfv27cPBwQF9fX11V8z69euzbt06AgMDNd7MVGVFRUWl+ryEEEIIIYQQIqMxsCyebOAnIiKCx3fuULZsWTKbmHzHmiVv0qRJHD9+nDFjxhAeHq6e/BsSOjQYGRkxaNAgRo4cSbFixahatSr79u3D399f3VFExc/Pj8jISPV0L8ePHydr1qyUKlVKvUCWn58fT58+pVSpUrx//x5vb2/Onz/Pxo0bv8v5SvBJpJoqGvrPP/9gaWnJkSNHyJYtG/Pnz1ePS33x4kWK+Rw4cICOHTtqDOHz8/P7ojrlzJmT4OBgre3BwcFaY2BDQkI0Xr99+xZAPb41ubzMzc1TXSczMzOmTZuGQqHg5s2bLFmyhGHDhnHgwIEku0bmzJkzVddOpUSJEsTGxvLkyRNMTU05d+4cQUFBBAUF6Vwic9++ferhePC/ccKJe3kJIYQQQgghhPg+Tp8+DcD06dO19h09epQiRYrQrFkzIiMjWb58OX/99RcWFhYsWrSIihUraqSfNGmSxufJX3/9FYCBAwcyaNAgADJlysS2bdt48uQJmTJlwsHBgc2bN1OyZMm0OkUNEnwSqfbgwQPgf0O2oqKiMDQ01JgZX9fqap+Kjo7WGCYXHx/P3r17v6hOlStX5ujRo4wZM0Y9wfnp06cJCwujcuXKGmkPHz5Mz5491a8PHjyIsbExlpaW6ry2bNnC+/fv1YGrR48ece/ePdq2bfvZddPX18fW1pahQ4dy7Ngxnjx5kmTwycLCgvPnz6c670/bwtvbGxMTExYvXqw1gfjUqVPx9vbWCD6p3pg+J6gmhBBCCCGEEOLbOHbsWKrStW/fnvbt2391XjVr1mT37t2pKjMtSPBJ6KRQKNTd/mJjY7l16xZLliyhVKlS2NvbAwk379q1a/njjz9o2LAhV69eTdXNXKNGDbZu3UqpUqXIlSsXf//9t8ZQus/Rr18/OnXqRN++fenevbt6tTtbW1tq166tkfbp06eMHTuWpk2bcvv2bf766y9+/vlndaCpZ8+e7NixAxcXF/r37090dDTz58+nYMGCtG7dOlX1+fDhA66urrRs2RILCwtiY2NZv349OXLkwNraOsnjKlWqhKenJ69fv6ZAgQIa+6KiotRtoZrzaevWrdSsWZNixYoRHR3N4cOHadSokXoi98Tatm3LlClTNCaqu3nzJiVLltQaivi5MuXVPU+V+HFIGwshhBBCCCG+lgSfhE5RUVF07NgRSOieV6BAAVq0aMHAgQPVvZZq167NyJEj8fLyYseOHVSqVIlly5bh5OSUbN6//fYbEydO5I8//sDY2JjWrVvTsGFD9ap2n6N8+fKsWrWKuXPnMmjQIExMTKhXrx6jR4/GwEBzMrlhw4Zx4cIFhgwZgoGBAV26dGHYsGHq/QULFmT9+vXMnDmTkSNHoq+vT82aNRkzZgzZsmVLVX0yZ86MpaUl69ev59WrV2TJkoXy5cuzcuXKZAM9Dg4OmJqacuLECTp06KCx79mzZ+q2MDQ0pHDhwri6utKnTx8AfH19+fDhQ5Ir6jVr1oyZM2fi7e3NkCFDADhx4kSK7ZQaudokPY+V+HEoFQr0PulRJ4QQQgghhBCppadUKpXpXQkh0tLz58+pX78+CxYsUK8ElxFNnz6d27dvs27dujQt58GDB7Rs2ZKDBw9+9vKcKjdu3CA2NhZra2uyZMnyjWsovlRUVBQvX76kUKFC0i4ZREREBHf+f4JLkww0weV/nbRLxiTtkjFJu2RM0i4Zk7RLxiTtkrZu3LgBoLFIli7yVbYQGYSLiwv+/v7cvXs3TctZtWoVLVu2/OLAk4qhoaEEODKYLFmyUKJEia9qF6VC8Q1rJIQQQgghhBAy7O6zeXh4sGjRIvVrU1NTSpQoQb9+/bTmGLKysmLUqFG4urp+0zrUq1ePOnXqMGHChGTT+fv74+bmRunSpZkyZQp9+/Zl9erVWnMKfSthYWFUqVKFadOm0aZNmzQpQ0XVDvb29mzYsEFj35QpUzh69GiqJ3DLKMzMzKhWrRp//PGH+px27NjB2LFj1WkMDQ0pUKAATZo0wd3dHWNjY618bt++TevWrSlWrBiHDx/W2KdQKLh//z7Fiye9FOnnCN1xiLi3od8kL5H+MuXNJUMphRBCCCGEEN+cBJ++QJYsWVi7di0Ab968YenSpfTr148NGzZQqVIldbrNmzdTqFCh9KomO3fupEWLFmTJkoVWrVrh6OiYZoGn9HLp0iXOnz9P1apVk0xTpEgR7t279x1r9WUCAwM5e/asVjANYMWKFWTPnp3Y2Fhu3LjB/Pnzef/+PZMnT9ZKq1px8OnTp1y/fp0KFSqo9+nr6zN37lycnZ0JCAj46tXu4t6GEvc66KvyEEIIIYQQQgjxY5Pg0xfQ19fHzs5O/bpChQrUrl2bXbt2aQSfEqdJDxMnTlT/PHz48HSsSdowMTGhVKlSLF68ONng07/F5s2bKV68OOXLl9faV65cOfWE5VWqVOH169d4e3trBZ8UCgX79u2jcuXK3Lx5E29vb43gE0Dx4sWpVKkSGzZsYNy4cWl3QkIIIYQQQgghBDLn0zeRP39+cufOzcuXLzW2W1lZsXLlSvVrX19fevXqRfXq1alUqRLt27fnxIkTWvkFBgYyatQoatSoga2tLY0bN1b3tEpsw4YN1K1bl8qVK+Pu7k5ISIh6X0REBJMnT8bJyYkKFSpQr149JkyYwIcPHzTyUCgULF68mHr16lG+fHkaN27Mpk2bUnXeW7ZsoV69elSoUIGff/6ZJ0+eaKXZtWsXnTt3xsHBgSpVqtC9e3f8/f010rx+/ZohQ4ZQo0YNbGxsqFevHlOnTk1VHdzd3Tl37hxXrlxJNl1YWBi///47jo6OlC9fnjZt2nDq1Cn1fg8PDxwcHIiNjdU47v79+1hZWXHy5En1Nl9fX9q3b4+trS3VqlVj4sSJREREqPfHxsYyY8YM6tSpQ/ny5XF0dKRfv35a1/5Tu3btSvUKdFmzZiUuLk5r+8WLF3n9+jWdOnWiTp067Nu3j/j4eK10jRs3xtvbW2ceQgghhBBCCCHEtyQ9n76Bjx8/8v79e4oUKZJsuufPn1O3bl1cXFzQ19fnxIkTuLm5sXbtWnXPndDQUDp27AjAsGHDKFKkCE+ePOHp06caeR07downT54wYcIEQkNDmTZtGn/88Qfz5s0DEla9io+PZ9iwYeTOnZtXr16xdOlS3N3dWb9+vTqfmTNnsm7dOvr370/FihXx9fVl4sSJxMXF0a1btyTP5fjx4/z222+0adOGpk2bcuvWLYYMGaLznFu1akWxYsWIiYlh7969dO3alT179mBhYQHAqFGjePPmDePHjydPnjy8evWKmzdvpuLKQ926dbG2tsbT01Mj0JdYTEwMvXr1Ijg4mKFDh5I/f3727NlD37592bFjB1ZWVjg7O7No0SJOnTpF3bp11cfu3buXPHnyUKNGDQAOHDjAsGHDaNOmDYMGDSIoKIg5c+YQFhamvvbLli1j06ZNjBw5ktKlSxMaGsrp06eJiYlJ8jyePHnCixcvNHrOJaZQKIiLi1MPu9u6davOQJW3tzfGxsY0aNCALFmycPDgQc6cOUOtWrU00lWqVInQ0FDu3LmT4qoEQgghhBBCCCHE15Dg0xdS9Rh58+YNs2bNImvWrPTo0SPZYxIHcxQKBVWrVuWff/5hy5Yt6uDTmjVrCA4OZv/+/epgVvXq1bXyUiqVLFmyBCMjIwBevHjBsmXLUCgU6Ovrkzt3biZNmqRR3yJFitClSxceP36MhYUFISEheHl54erqyqBBgwBwdHQkNDQUT09POnfujIGBgc5zWbJkCfb29kybNg2AWrVqER0dzeLFizXSDRw4UOOca9asib+/Pzt37lQPBbxx4wbDhw+nadOm6rStWrVK9lom1r9/fwYNGoS/vz+2trZa+729vbl79y67d++mVKlS6vo+efKExYsXs2DBAkqUKIG1tTU+Pj5awafGjRtjYGCAUqlk5syZNG3alClTpqjT5MuXDzc3N9zd3SldujQ3btzA0dGRrl27qtOk1KNJtTyllZWVzv01a9bUeO3g4KAxETkkBNkOHTpEvXr1MDExoU6dOmTPnh1vb2+t4FOpUqUwMDDA399fgk9CCCGEEEIIIdKUDLv7AhEREZQrV45y5cpRt25dDh48yMyZMylRokSyx71+/ZrRo0dTq1YtrK2tKVeuHKdOneLx48fqNGfPnqVatWop9qKqUqWKOvAEULJkSWJjYwkODlZv27VrF61ataJixYqUK1eOLl26ABAQEAAkrIYXGxtL48aNNfJu0qQJISEh6nSfio+P59atWzRs2FBju64Ay8OHDxkwYAA1atSgbNmylCtXjsePH2vkbW1tzapVq/j77791Dt1LScOGDbG0tMTT01Pn/tOnT2NpaYm5uTlxcXHqfzVq1FAHfQCcnZ05duwYUVFRQML1efbsGc7OzgA8fvyYFy9e0KRJE418HBwc0NfXV/fWsra2xs/PDw8PD/z9/VGkYun6oKAg9PX1yZUrl879a9asYdu2bWzevJkpU6bw5MkTBg4cqJH3iRMneP/+Pc2aNQPAyMiIhg0bcvjwYfU5qWTKlIns2bPz5s2bFOsmhBBCCCGEEEJ8Den59AWyZMmCl5cXSqWSgIAA5syZw+jRo/H29sbMzEznMQqFgv79+/PhwwcGDx5M8eLFMTY2ZuHChbx69Uqd7t27d5QuXTrFOuTIkUPjtSoQFR0dDcDhw4cZPXo0HTt2ZNiwYZiamhIUFMSAAQPUad6/fw9A3rx5NfJSvX737p3OskNCQoiLi1NPgP3pcSrh4eG4uLiQO3duxowZQ6FChcicOTPjx49X1wFg3rx5zJs3j/nz5zNp0iQsLCwYPnw4jRqlbsl3PT09+vXrx/Dhw7l165bW/tDQUG7fvk25cuW09iXu2eXs7Mzs2bM5duwYTZs2xcfHh8KFC6uHwoWGhgIwYMAAnfVQtWP//v3R19dn586dLFq0iNy5c9O1a1cGDBiAnp6ezmOjo6PJlClTkvutrKzU19vOzo4cOXIwaNAg/Pz81D21vL29yZ49O3Z2doSFhQEJwxJ37NihPqfEjIyMNNpBCCGEEEIIIYRICxJ8+gL6+vrqoUq2trZYWFjQoUMHPD09NYa6JfbkyRNu376Np6cnDRo0UG//tEeKqanpN+mNcuDAAcqWLauxGtqFCxe0ygIIDg4mf/786u1v377V2P+p3LlzkylTJo0JzhMfp3Lt2jVev37NsmXLKFOmjHr7hw8fKFCggPq1mZkZ06ZNQ6FQcPPmTZYsWcKwYcM4cOAARYsWTdX5NmnSBA8PDxYvXkyhQoU09uXMmRMrKyuNoXK6FCxYkEqVKrFv3z4aN27M/v37admypTogpLoeEyZM0Dm8TxV4NDIyYtCgQQwaNIgnT56wfft2PDw8KFKkSJLDCXPmzElMTAzR0dFkzpw5xfMtWbIkAA8ePKBu3bqEh4fj6+tLVFSUzmGae/bs0Qo+ffjwIck2FkIIIYQQQgghvhUZdvcN2NjY4OzszI4dOwgKCtKZRtXDxNDQUL3txYsXXL16VSNd9erVOXfunNbKeZ8rKipKoyxI6Bnzab0NDQ05cOCAxvb9+/eTJ08ezM3NdeZtYGCAtbU1hw8f1th+8OBBrTqA5jlfuXKFFy9e6MxXX18fW1tbhg4dSlxc3GcNwdPX16dfv34cPXqUe/fuaeyrUaMGz549w8zMDBsbG61/iTk7O+Pn58fx48d58+aNeggbQIkSJShQoADPnj3TmU/iAJ5K8eLFGT58OKampjx69CjJ+qsmX3/+/Hmqzvf+/fsA6mF6R44cISoqikmTJrFu3TqNf61bt+bUqVMaPdlCQkKIjIxUlyuEEEIIIYQQQqQV6fn0jbi7u7Nv3z7Wrl3LyJEjtfarAhdz5sxBoVAQERHBwoULtYbp9ezZk927d9OtWzf69+9P0aJFefbsGQEBAfzyyy+prk+NGjWYPHkynp6eVKxYET8/P86ePauRJnfu3HTr1o2VK1diZGSEnZ0dfn5++Pj48NtvvyU52ThAv379cHd3Z+zYserV7nbv3q2Rxs7ODhMTEyZNmoSbmxuBgYF4eHhoBGk+fPiAq6srLVu2xMLCgtjYWNavX0+OHDmwtrZO9fkCNG/eHE9PT86fP0/hwoXV21u1asWmTZvo0aMHLi4umJub8+HDB27fvk1sbCwjRoxQp23SpAlTp07l999/p1SpUho9tvT09BgzZgwjR44kIiKCOnXqYGxszMuXL/Hz82PYsGFYWFjg7u5OuXLlsLa2xtjYmOPHj/P+/XuqVauWZN1tbW3JlCkTN2/eVPdqSuzWrVtkz56duLg4Hj16xMKFC8mbN6963i1vb28KFy5Mx44dtYbu5cyZk507d3LgwAE6deoE/G+C88qVK3/WNf5Upry656gS/07SnkIIIYQQQoi0IMGnb6REiRI0bdqUjRs30rdvX7Jnz66x38jICA8PDyZPnsyQIUMoWLAg/fv359y5c+qJqiGhJ8vGjRuZM2cOs2fPJjIyksKFC6snC0+tTp068fz5c7y8vFi5ciWOjo7MmTOHDh06aKQbNWoU2bNnZ9u2bSxdupTChQszadIkdZAiKfXr12fSpEksXbqUvXv3UqFCBebPn0/79u3VafLmzcuCBQuYOXMm7u7umJubM2nSJFasWKFOkzlzZiwtLVm/fj2vXr0iS5YslC9fnpUrV2rNKZUSAwMD3NzcGD9+vMZ2IyMj1q1bh4eHB0uXLiUoKAhTU1Osra21rmvu3LmpVq0ap06donPnzlplNGnShBw5crB06VJ1T7LChQtTq1Yt9ZxXlSpVYv/+/axevZr4+HgsLCyYPXs2NWrUSLLuJiYm1KpVixMnTtCyZUut/b179wYSenjlz5+fatWqMWTIEExNTQkODubs2bO4ubnpnDOqTJkylC1bFm9vb3W7njx5Ent7e615ulIrNjYWpVLJ89IFoXTBL8pDZEzPE03CL76eUqkE4J9//klyTjfx/Um7ZEzSLhmTtEvGJO2SMUm7ZEzSLmkrJiYmVddVT6lqCSFEujp27BgjRozgzJkzGBsbp1k5cXFx1KlTh5EjRyY5B1VKrl69ilKp1BraKYQQQgghhBDivyM2NhY9PT0qVqyYbDrp+SREBlG3bl0sLCzYunUrPXr0SLNyfHx8yJo1q8Z8Vp8rpTcWIYQQQgghhBBCRSYcFyKD0NPT4/fff0/TXk+qcqZMmUKmTBJ7FkIIIYQQQgiR9mTYnRBCCCGEEEIIIYRIM9LzSQghhBBCCCGEEEKkGQk+CSGEEEIIIYQQQog0I8EnIYQQQgghhBBCCJFmJPgkhBBCCCGEEEIIIdKMBJ+EEEIIIYQQQgghRJqR4JMQQgghhBBCCCGESDMSfBJCCCGEEEIIIYQQaUaCT0IIIYQQQgghhBAizUjwSQghhBBCCCGEEEKkGQk+CSGEEEIIIYQQQog0I8EnIYQQQgghhBBCCJFmJPgkhBA/kPj4eACUSmU610SIfw+FQpHeVRDiX0GeFSGEEF9Kgk9CiM8WGxtLYGAgAQEBxMbGqrdLwCN9ffjwAScnJ27evImenl56V0eIDC8yMpK4uDj09eXPISGSI8/Kv4P8HZYxREZG8vz58/SuhkhEPrtkDJnSuwJCiH+X8PBw+vbtS0hICI8fP6Z69eo4Ojri6uoqAY90FB4eTrt27ciVKxdmZmbpXR2RSFRUFGfPniUwMBBbW1vy5s2LmZkZSqVSnpl0FB4ejqOjI126dGHUqFHpXR2BPCsZlTwrGVNkZCQHDx7k1atXWFtbY25uTvHixeV5SWfh4eH89NNPtGnThl9//VUCthmAfHbJOPSUEu4TQqRSTEwMXbp0IVu2bHTu3BkDAwP27NnDuXPnqFmzJnPmzJFfsukgPDycFi1aUKxYMaZPn06BAgXSu0ri/4WHh9O5c2ciIyMJDQ0lU6ZMFC9enOHDh1OtWrX0rt5/Vnh4OK1ataJo0aJMnTqVggULpneV/vPkWcmY5FnJmMLDw+nQoQOQ0OtZT08PhULBuHHjaNKkSTrX7r8r8fMybdo0+XssA5DPLhmLXGkhRKrdvXuX9+/fM2TIEJycnGjQoAG//fYbI0eO5OTJk/Tv35+4uDhAurF+L5GRkXTo0IGsWbMyf/589R86L1684O7du1y9epU3b96kcy3/m+Lj4xk3bhy5cuXC09OTixcvql+7uLiwZ8+e9K7if9LHjx9p3bo15ubmTJ06NckPB/Ie9v3Is5IxybOSMSkUCqZOnYqpqSmLFy/m5MmTzJo1i1q1ajF8+HCWLVtGVFRUelfzP+fjx4+0atWKEiVKMHXqVPLnz68znTwv35d8dslYZNidEOKzvH37lsjISCDhD6B8+fLRsmVLTE1NGTduHCNGjGDBggXSjfU7uXfvHo8fP8be3p47d+5QvXp1jh07xrRp0wgKCiIqKgorKytat25Nz54907u6/ylRUVE8efKExo0bY2VlBUCLFi2wsbEhX758jBkzBoVCQatWrWSYxHcSExND586dCQsLY+TIkepeHDdu3ODu3bs8evSIypUrY2VlRdGiRaVdvhN5VjIeeVYyrri4OAICArCxscHc3ByAqlWrUrZsWYoUKcL8+fNRKBT0798/fSv6HxIbG8uAAQN4/fo1s2fPVj8vV69e5fLlyzx8+JBy5crh4OCApaUlCoVCett8R/LZJeOQu14IkWo5cuTA0NCQK1euAAnfECiVSjJnzkzt2rUZM2YMp0+fZvHixelc0/8OOzs7li5dytOnT1m3bh2LFi1i8ODB1K5dm5kzZ/LXX3+RK1cuVq9ezfr169O7uv8pSqUSfX19Pnz4AKD+Zs3CwoJBgwbRrl07xo4dy5kzZ+QPnu/EyMgIKysrDA0N8fb2BsDPzw8XFxcWLFjAli1bGDlyJKNHj5aJ+78jeVYyHnlWMi4DAwOyZctGYGCgxuqDOXLkoG/fvgwaNIiFCxfi4+MDSG+O78HQ0BBbW1sKFy7MmjVriI2N5fTp07i4uLBx40ZOnz7N/Pnz6dOnD+fPn0dfX1/a5TuRzy4Zi8z5JIT4LIsWLWLp0qWsXr2aKlWqEB8fj76+Pnp6eoSEhDBz5kwCAgJYvnw52bNnT+/q/tASf9Ps6+vLuHHjiIiIoE+fPri6upI5c2YAHj58yIQJE4iNjWXlypXSLt/RqFGjuHTpEtu2bSN37tzExsZiaGgIwJMnT5gxYwYvXrxg8eLFFC5cOJ1r+2NL/E3zhAkT8PX1xdbWltOnT9OrVy8aN26MpaUlGzZsYMuWLeTIkYOZM2fKHDffiTwrGYc8Kxnf7Nmz2b59O8uXL6d8+fIafw+Eh4czc+ZMDh48iJeXF6VLl07n2v7YEj8vixcvZvfu3ZiamnL//n169+5Ns2bNKF68OEeOHGHdunU8f/6c5cuXU7JkyXSu+X+HfHbJOKTnkxDis7Rp04Zq1arRr18//P39MTAwQKFQoFAoyJ07N23btuXatWs8ffo0vav6w9PT01N/c1anTh2mT5+Ovb09devWVQee4uLiKFmyJN26dcPf35+XL1+mZ5X/M1TfRg8bNgylUsmIESOAhG9HVUv8Fi9enJYtWxIUFCRLMn8H+vr6xMfHAzB58mTq1KmDr68vXbt2pXfv3lhaWgLQtWtX2rRpw40bN+R97DuQZyXjkWcl41L9zh88eDBmZmZMnDiRsLAw9YTjANmyZaNNmzZkz56dW7dupWd1/xP09fXV197d3Z0WLVrw+vVrOnTowM8//0zx4sUBaNCgAV26dCE0NJTbt2+nZ5X/c+SzS8YhwSchxGcpVKgQ/fr1w8rKChcXFy5duoSBgYH6Wx8DAwMKFy6sDn6ItJU4AFWrVi3+/PNPypYtCyT8kZopU8LUfsHBweTNm5dcuXKlW13/S1TPQ758+RgyZAj+/v4MGDAA0PxQ7eTkhIGBARcuXEi3uv6XGBgYaHyoHjhwIA4ODpiYmACo26VLly7ExMRw8+bNdKvrf4U8KxmTPCsZk+p3vpGREePHjycoKIj+/fsTHh6uMZTLzs4OQ0NDrl+/ns41/m9IHIAaMGAA/fr1o06dOmTLlg3431Dixo0bA/DgwYP0qeh/lHx2yTgk+CSE0KL6BfrpqFzVa3t7e4YPH46trS09e/Zk5cqV3L59m4CAAHbu3Im+vr4EOdJAUu2SeK4N1eoqsbGx6u0hISFcuHABCwsL9QcH8X1kypSJBg0aMGjQIM6dO4erqyvh4eHq4USBgYHkypVLhqt8R4k/VPfr14+ffvoJSHi+VO1y5coVcufOLcNV0oDq/evT9zF5VtKXrnaRZyX96WoX1e/2ChUqMGHCBJ4+fUqvXr24f/++Ol1ISAg5c+akSJEi37/S/wG62iVxAKpz585Ur14dSHheMmXKhFKpxN/fnxw5cqgXVhDfRkxMDOHh4Tr3yWeXjEXmfBJCqKnGrUdERGgEKRLPJZD456dPn7J161bWrVuHkZERpqamxMbGsmTJEnXvG/H1UtMuSbl06RLbt2/n0KFDbNy4UT1cQnxb8fHxGBgYJLk/PDycgwcPsmDBAoyNjenQoQM5cuTg6tWrHD16lK1bt1KsWLHvWOP/hpTaRSUuLk7dSzAkJIRZs2Zx9epV1q5dm+Ry2eLLxMTEYGRkBOh+D5NnJX2k1C4q8qx8H/Hx8SgUCt69e0e+fPmSTBcTE8Ply5eZMmUK7969o2HDhhQsWJB79+5x8uRJNm/ejIWFxXes+Y8tte2SOL3qd1BISAizZ8/m/PnzeHl5SSD9G4mIiKB169ZUrVqVkSNHkiNHDq008tkl45DgkxACSPiD/48//uDZs2cAODo60rZtW/Ufk4knVPz0D9N79+4RGBiIUqmkTJky8gfoN/Q57fIpHx8fli9fTmRkJAsXLqRMmTLfrd7/BRERERw9epTmzZsDybcFJPRGe/HiBbNnz+aff/4hJiaGAgUKMGHCBGmbb+hz2yWx3bt34+vry6lTp1i/fr20yzcSERHB6tWruXfvHnFxcdStW5f27dsDugMd8qx8H5/bLonJs5J2Pn78yNSpU7l//z5v3ryhbdu2DB48GEi6XSIiIpg1axb37t0jODiYYsWKMWLECGmXb+hL2kVlw4YNXLhwgXPnzrFmzRoJcnxDfn5+9O3bF4D27dszevRo9XDHxOSzS8YgwSchBJGRkbRr1448efJgZWVFXFwcW7dupVy5cvz88880bdoU+N+HONU3OanpeSO+3Je2i8qtW7f4559/qFy5snS9/8YiIyPp3Lkzd+/eZdSoUbi4uABJBzo+fVaCgoLQ19cnc+bMOv9IEl/mc9slscuXL7N8+XKCgoKYNm2a9BL8Rj5+/EjHjh0xMTEhZ86cREZGcunSJYYPH46bm5tWenlWvo/PbZfE5FlJO+Hh4bRr1468efNibW2NQqHAy8uLwYMH4+7urvOYxO9vkZGRxMXFYWhoSJYsWb5n1X9oX9IuKo8ePWLBggUEBgbyxx9/yBDVbywwMJDhw4dTs2ZNli9fTpMmTfj111+1fl+oem3KZ5f0JcEnIQS7du3C09OT5cuXY25uDsDjx48ZOnQoCoWCTp060bVrV0Dzj5zTp09Ts2bN9Kr2D+9L2+XUqVM4OjpqbRffRlxcHFOmTOHgwYMUL16cly9f0q1bN/r06QNoX/NPg4LSJmnja9vlw4cPvH79mjx58pA7d+7vXv8fUUxMDIMHDyYmJoaJEydSvHhx3r59y9KlS9mzZw9r167V6AEgz8r38bXtIs9K2oiOjqZ3794YGBjwxx9/ULRoUQAmTpzIo0ePWL9+vUb6xEMlQXNIpPh2vrZdoqOjef/+PYaGhjKnUBqIi4ujdevWNG3alEKFCjFu3DhatWrFqFGjdA7Bk88u6Ut+owshePPmDfHx8eoAR0xMDBYWFvz111/kyZOHTZs2sWfPHuB/KxPNmDEDV1dXduzYkV7V/uF9abv07t2b7du3a2wX386zZ884e/YsP/30ExMmTKBq1aqsX7+e5cuXA5qTjgLqD22zZ88mICBA2iSNfE27PHr0iOzZs1O6dGn5MP0NnTt3jjdv3tCpUyf1B7a8efPSqFEjoqOjefnypUZ6eVa+j69pF3lW0s7p06dRKBT8/PPPGr2VzczMMDMz49ChQ+zZs0fdPqoAx9ixY7l7964EntLI17ZL5syZMTMzk8BTGlBN5l6vXj3Cw8Np2bIlEyZMYPfu3cyePZuYmBjmzZvH3bt3AfnskhHIb3UhBFZWVgQGBnLu3Dkg4RdnXFwc+fPnZ8aMGRgaGrJu3Tr1vEOQsGqEvb09FStWTK9q//C+pl0qVaqUXtX+4RUsWBBXV1fGjBlD2bJl6dOnD1WqVNEKdKhWiQLYt28fK1asYOLEicTFxWmt9CW+3te0y6RJk6Rd0kCRIkXIli0bNWrU0Aj+OTg4ULBgQfz9/QHkWfnOvqZd5FlJOxUrVqRjx47UrFlTPSwoMjKSPXv2cOnSJaZPn8748eMZOHAgp06dAuDs2bPs3LmTwYMHExsbK+2SBqRdMi7VFxRWVlbs3buXkJAQWrRowR9//MHOnTtp0qQJmzZtIiYmBoDKlSvLZ5d0JsPuhBC8e/cONzc3ChYsyIgRI9QrCam6cD99+pTmzZvTo0cPRowYoT4uKipK5hRIQ9IuGZdqzgBVWzx8+JDFixdz8eJFunfvrnOo119//UXDhg1l5aE0JO2S8URGRmJsbKw1hK5NmzZUqlSJ8ePHax2zbNkyGjVqJG2ShqRdMibVe5hCoUCpVOLs7Ez27Nn57bffsLCwIDg4mG7dulG2bFl1UH337t3Y2dlRvHjxdK79j0vaJeNSKpU8e/aMAQMG4OHhgbm5OQqFgg4dOnD79m1q1KjBnDlzyJkzJyB/I6c36fkkhMDU1JTx48dz8uRJNm3aRGBgIACZMmUiJiaGYsWK0bt3b3x9fQkJCVF/Gypv3mlL2iXjUn37qRrmULJkSdzd3dU9bVasWAHAq1ev8PLyIiwsDDc3N/nQlsakXTIeY2Nj4H/fUKvep7JmzUpUVJQ6XXh4OEeOHAGgb9++0iZpTNolY1K9h+nr62NgYECnTp3w8PDA1taW7NmzY25uzvjx4zl16pR6KFHLli0lwJHGpF0yLj09PYoVK4axsTGHDh0CYPjw4Tx79owePXpw+fJlJk2axIcPHwD5Gzm9yeBgIQQAtra2eHp60qtXL/T19enYsSNFixZVj13PlCkT8fHxZM2aVWPiUZG2pF3+PUqWLEn//v3R09Nj3bp1hIWFERAQwKFDh2jQoIHOiS9F2pN2yVhU71PZs2cnNDQUSJjAetq0aezYsYMTJ05gZmaWnlX8T5J2yVhUPW169uypte/FixcUK1ZMPV+X+H6kXTIeVe/NypUr8/z5c0aOHMnZs2eZP38+lSpVonjx4ixatIjIyEiyZ8+e3tX9z5PgkxBCrXr16qxatYoBAwbw+vVrOnXqhL29PcHBwTx9+pQCBQoQFxdH5syZ07uq/ynSLv8OCoWCUqVK0b9/f6Kiovjrr7/ImTMnO3bsoECBAuldvf8saZeMycjIiLCwMKKiopg5cyYHDhxg27ZtEuBIZ9IuGUPipeATLw3/9u1bbt26hbW1tUzInw6kXTIe1fV2dHTE1dWVnDlzMnfuXKpVq4aenh5t27bF2dlZvmjKICT4JITQUKNGDdasWcOkSZPo3bs35ubm6Onp8fLlS9auXUvWrFnTu4r/SdIuGZ/qD6AcOXLw8eNHsmfPzoYNGyhVqlQ61+y/TdolY1F9S21sbExISAhTp05lz549bNy4EWtr6/Su3n+WtEvGpQpwPHz4kBUrVnD27Fm8vLzUQydF+pB2yViqV6/O3LlzyZ07N1WqVFG3j5GRkXq0gEh/MuG4EEKnt2/fcu7cOa5cuUKhQoVo0KAB5ubm6V2t/zxpl4wtMjKS8ePHs3fvXnbt2kWZMmXSu0oCaZeMaN68eSxbtoxs2bKxdu1aypUrl95VEki7ZFQeHh5cu3aNx48fs3jxYnkPyyCkXTKWxL3RRMYkwSchhBDiGzp16hT58uXDysoqvasiEpF2yVhu375N7969Wb9+PSVLlkzv6oj/J+2SMd27d48DBw7Qpk0bmVMoA5F2EeLzSPBJCCGEEEJ8d7LkdcYk7ZIxxcfHy8IiGZC0ixCpJ8EnIYQQQgghhBBCCJFmZDp+IYQQQgghhBBCCJFmJPgkhBBCCCGEEEIIIdKMBJ+EEEIIIYQQQgghRJqR4JMQQgghhBBCCCGESDOZ0rsCQgghhBBCCCGEEOLbefLkCStXruT69es8ePCAEiVK4OPj88X5+fr6snTpUu7evYuhoSFlypRh1qxZFChQIFXHS/BJCCGEEEIIIYQQ4gfy4MED/Pz8qFChAgqFAqVS+cV57d69m3HjxuHi4sLQoUP5+PEjly5dIjo6OtV5yLA7IYQQQgjx2bp370737t3TJO8DBw5gb29Pp06dCAgI4LfffmPNmjVpUtbn2rFjB1ZWVjx//jy9q5KmFAoFzZo1Y8mSJelS/okTJ6hYsSIhISHpUr4QQvzb1atXDz8/PxYuXEi5cuW+OJ93794xefJkfv31V4YPH061atWoX78+o0ePpnjx4qnOR3o+CSGEEEL8IHbs2MHYsWOT3L9582bs7Oy+X4W+0IoVK+jQoQPPnz+nSZMm5MiRg+3bt6d3tdLU27dvWblyJcePH+fVq1fo6elRokQJGjRoQLdu3ciRI4c6rVKpZPfu3WzdupV79+4RGxtLsWLFcHJywsXFBRMTk6+uj4+PD69evaJbt27qbVeuXOH06dP8/PPPGvVJCz/99BPFihVj2bJlyd7TQgghdNPXT7mvkVKpZNWqVWzZsoUXL16QP39+unfvTs+ePdVp9u/fj0KhoF27dl9VHwk+CSGEEEL8YAYPHkyRIkW0thcrVuyblbFy5cpvltenFixYQP78+cmUKRMhISFkzZqVzJkzp1l56c3f3x83NzciIiJo0aKF+hvqmzdvsnz5ci5dusSqVasAiI+PZ8SIEezfvx97e3sGDhyIsbExly5dwtPTk4MHD7J69Wry5s37VXVauXIlzs7OZM+eXb3t6tWrLFq0iNatW6d58AmgY8eOzJw5k0GDBpEtW7Y0L08IIf5rpkyZwtatW+nXrx8VKlTgypUrzJ49m8yZM9O5c2cArl+/joWFBbt27WLJkiUEBgZSunRphg8fTu3atVNdlgSfhBBCCCF+MD/99BM2NjZpWoaRkVGa5V24cGH1z7lz506zcjKCsLAwBg4ciIGBATt37qRkyZIa+4cNG8aWLVvUr1esWMH+/ftxcXFh9OjR6u0dO3akSZMmDBgwgDFjxrBixYovrtPt27e5e/cuY8aM+eI8vgUnJyf+/PNPDhw48NXfuAshhND09OlTvLy8mDRpEh07dgSgRo0aREVF4enpSceOHdHX1ycoKIjHjx+zYMECfvnlF/Lly8eGDRtwd3dn165dlC5dOlXlyZxPQgghhBD/Mc+fP8fKyoqVK1eyYcMG6tevT4UKFXBxceHVq1colUo8PT356aefsLW1pX///rx7904jD11zPq1fvx5nZ2cqVKhAlSpVaNOmDd7e3ur94eHhTJkyhXr16lG+fHmqV69Or169uHXrlkY++/fvp02bNtja2lK1alVGjhxJYGCg1nk8fPiQwYMH4+DggI2NDW3atOHo0aMaaWJjY1m0aBGNGjXCxsaGqlWr0rlzZ06fPp3idXrw4AE9evTA1taWn376icWLF6NQKHSm9fPzo0uXLtjZ2VGxYkXc3Nx48OBBimVs2rSJwMBAxowZoxV4AsibNy/u7u4AREVFsXLlSszNzRkxYoRW2nr16tGqVStOnjzJtWvXUiw7KUeOHMHQ0BB7e3v1Ng8PD2bOnAlA/fr1sbKy0pj7Ki4uDk9PTxo0aED58uWpV68ec+fOJSYmRquOffv25dKlS7Rr1w4bGxvq16/Prl27tOqRJ08erKystNpUCCHE1ztz5gwAjRo1Ii4uTv2vRo0aBAUF8erVKyBhaF5ERASTJ0+mVatW1KxZU91Defny5akuT3o+CSGEEEL8YMLDw7UmatbT0yNXrlwa27y9vYmNjaV79+68e/eOFStWMHToUKpVq8b58+fp06cPT548wcvLixkzZjBt2rQky9yyZQt//vknTk5O9OjRg+joaO7du8f169dp3rw5ABMnTuTgwYN069aNkiVL8u7dOy5fvszDhw/VQ81U81bZ2NgwfPhwgoODWbduHVeuXGHXrl3q4V4PHjygc+fO5M+fnz59+mBiYsL+/fsZMGAAHh4eNGzYEIBFixaxbNky2rdvj62tLeHh4dy8eZNbt25Rs2bNJM8nKCiIHj16EB8fj5ubG8bGxmzZskXn8L9du3YxZswYHB0dGTlyJJGRkWzcuJEuXbqwc+dOnUMgVY4dO0aWLFlwcnJKMo3K5cuXef/+PT169CBTJt1/xrdq1YodO3Zw/PjxL57f6+rVq1haWmJoaKje1rBhQwICAvDx8WHs2LHqe0nVM238+PHs3LkTJycnevXqhb+/P8uWLePhw4d4enpq5P/kyROGDBlCu3btaN26Ndu3b2fMmDGUK1dO6xv0cuXKceTIkS86DyGEEEkLDQ1FqVRSrVo1nftfvXpF4cKF1b93E6czNDSkSpUqqfqSRUWCT0IIIYQQP5jEE4WqGBkZcePGDY1tgYGBHDp0SD2vj0KhYNmyZURFRbF9+3Z1gCM0NBRvb28mTZqU5HA7X19fSpcuzcKFC5Osl5+fHx06dNAYztWnTx/1z7GxscyePRtLS0s2bNigDvRUrlyZvn37smbNGgYPHgwkzFNRsGBBtm/frq5Tly5d6Ny5M7Nnz1YHn3x9falduzZ//PFHstfsU8uXLyckJIStW7dia2sLQOvWrWnUqJFGuo8fPzJlyhTat2+vUUbr1q1p3Lgxy5YtS7bsR48eYW5unqphjP/88w8AZcqUSTKNat+jR49SzC+5OlWoUEErX2tra3x8fGjQoIFGQO3u3bvs3LmT9u3b8+effwLQtWtXcufOzapVqzh37pzGh5bHjx+zYcMGdc+qJk2aULt2bXbs2KExlBCgaNGihIaGEhwcTJ48eb74nIQQQmjKmTMnenp6/P333xpfNqhYWFgAUKpUqSTziI6OTnV5MuxOCCGEEOIHM2HCBFavXq3xT1fX+MaNG2tMKK0KsrRo0UKjZ42trS2xsbE6h76p5MiRg9evX+Pv759smuvXryeZz82bNwkODqZz584aPYzq1KlDiRIl8PX1BRKWfT537hxNmjRR9/IKCQkhNDQUR0dHAgIC1GXkyJGDBw8eEBAQkGS9dPHz88POzk59TSChl4+qF5fKmTNnCAsLw9nZWV2PkJAQ9PX1qVChAufPn0+2nPDwcLJmzZqqOn38+BEg2fSqfeHh4QDs2bOHjh070rVrV5o1a8a2bdtSLOfdu3efNaG4n58fAL169dLY7uLiorFfpVSpUhpD+nLnzo2FhQXPnj3TyltVj9DQ0FTXRwghRMqqV68OJLzn29jYaP1TLfRQt25dAM6ePas+NiYmhosXL6p7LaeG9HwSQgghhPjB2NrapmrC8YIFC2q8VgWiktr+/v17ihYtqjOvPn36cObMGdq3b0/x4sWpWbMmzZo1o3Llyuo0I0eOZMyYMdSpU4dy5cpRu3ZtWrVqpc7z5cuXwP++bU2sRIkSXL58GUiYJFWpVLJgwQIWLFigsz7BwcHkz5+fwYMH4+7ujpOTE5aWljg6OtKyZctkew+p6vJp7x9ddVMFtX7++Wed+aS0Slu2bNnUQaWUqAJLyaX/NEBVsWJFmjRpgqGhIXfu3KF169ZUq1Yt2aGAkDDHR2q9ePECfX19rdUU8+XLR44cOXjx4oXG9k/vL0j4Bv79+/dJ1kNPTy/V9RFCCAGRkZHq4P+LFy8IDw/nwIEDADg4OGBhYUHXrl0ZNWoUrq6uVKhQgdjYWAICAjh//jyLFy8GEoY/Ozk58dtvv/Hu3Tvy5cvH33//zdu3b3F1dU11fST4JIQQQgjxH2VgYKBzu76+7s7xyQUkSpYsyYEDB/D19eXkyZMcOnSIv//+mwEDBqiHyjVt2hR7e3sOHz7M6dOnWblyJcuXL8fDw+OzlmtWTfrt4uJCrVq1dKZRBUKqVKnC4cOHOXr0KKdPn2bbtm2sXbuWSZMm0b59+1SXmRTVNZk5cyb58uXT2p/UNVYpUaIEd+7cISYmJsWhd6oJye/evUuDBg10prl3755G2k+DhXp6eikGckxNTQkLC0s2jS6pDRCldE0SU9Xj0/nKhBBCJC84OJghQ4ZobFO9XrduHVWrVmX8+PFYWFiwefNmPD09yZo1KxYWFjRu3FjjuOnTpzN37lzmzJlDeHg45cqVY/Xq1VhZWaW6PhJ8EkIIIYQQ34SJiQlNmzaladOmxMTEMGjQIJYuXUrfvn3Vw+jMzMzo2rUrXbt2JTg4mNatW7N06VJq165NoUKFgIQ5gVTDAVQeP36s3q8KqBgaGlKjRo0U62Vqakrbtm1p27YtHz9+pFu3bnh4eCQbfCpUqBBPnjzR2v748WON16q65MmTJ1V1+VTdunW5evUqhw4dolmzZsmmrVy5Mjly5MDHx4f+/fvrDOKoVo1TDZNQCQ8PZ/To0fz8888ULlw42XJKlCihXsUusaSCS4ULF0ahUPDkyRONFfvevn1LWFhYiuUl5/nz5+TKlUs9sbkQQojUKVKkiPoLiaTo6enRrVs3unXrlmw6ExMTxo8fz/jx47+4PjLnkxBCCCGE+GqfzsljZGREyZIlUSqVxMbGEh8fz4cPHzTS5MmTBzMzM2JiYgAoX748efLkYdOmTeptkDBn0MOHD6lTp476OAcHBzZv3sybN2+06pJ4pb9P65U1a1aKFSumkb8utWvX5tq1axpzWIWEhODt7a2RrlatWmTLlo1ly5YRGxubbF106dSpE/ny5WP69OlagS1I+OZaNfTB2NgYFxcXHj9+zLx587TS+vr6snPnThwdHTVWuouOjmbQoEEUK1aMX375Jdn6ANjZ2fHgwQOta2RsbAyg1Y6qXmtr167V2L569WqN/V/i1q1bX7xqnxBCiIxDej4JIYQQQvxgTpw4oXO1s0qVKiU5Z9PXcnV1JW/evFSqVIk8efLw6NEjvLy8qF27NtmyZSMsLIzatWvj5OREmTJlMDEx4cyZM9y4cUO9+p2hoSEjR45k7NixdOvWDWdnZ4KDg1m3bh2FCxfWWMVv4sSJdOnShebNm9OhQweKFi3K27dvuXbtGq9fv2bPnj0AODs74+DgQLly5TA1NeXGjRscPHgwxW95e/fuze7du+nduzc9evTA2NiYLVu2UKhQIY1vkrNly8bvv//OqFGjaNOmDU2bNiV37ty8fPkSPz8/KlWqxIQJE5IsJ2fOnHh6euLm5karVq1o0aKFegLX27dv4+PjQ8WKFdXp3dzcuHPnDsuXL+fatWs0atSILFmycPnyZfbs2UPJkiWZMWOGOn1UVBT9+/cnd+7czJgxI1VD3urXr8/ixYu5cOECjo6O6u2qes2bN4+mTZtiaGhI3bp1KVOmDK1bt2bz5s2EhYVRpUoVbty4wc6dO2nQoEGSy3inJDg4mHv37tGlS5cvOl4IIUTGIcEnIYQQQogfzMKFC3VunzZtWpoFnzp27Ii3tzerV68mIiKCAgUK0L17d9zd3QHIkiULnTt35vTp0xw6dAilUkmxYsXUQSSVNm3akCVLFpYvX87s2bMxMTGhQYMG/PLLLxorsJUqVYrt27ezaNEidu7cybt378idOzfW1tYMGDBAna579+4cO3aM06dPExMTQ6FChRg6dGiKk6SamZmxbt06/vzzT/766y9MTU3p1KkTZmZmjBs3TiNt8+bNMTMz46+//mLlypXExMSQP39+7O3tadOmTYrXrkKFCnh7e7Ny5Up8fX3ZvXs3+vr6lChRAjc3N41AmYGBAfPnz2fXrl1s3bqVBQsWEBsbS7FixRgwYAAuLi6YmJio03t4eHD+/HkqVaqkXo1u+PDhGgGtT5UvXx4rKyv279+vEXyytbVlyJAhbNq0iZMnT6JQKDh69CgmJib8+eefFClShJ07d3LkyBHy5s1L3759GThwYIrnn5RDhw5hZGREkyZNvjgPIYQQGYOe8nOWshBCCCGEEEL88Hbt2sXkyZPx9fXVCPp9T61atcLBwYFff/01XcoXQgjx7cicT0IIIYQQQggNLVq0oFChQmzYsCFdyj9x4gRPnjyhb9++6VK+EEKIb0t6PgkhhBBCCCGEEEKINCM9n4QQQgghhBBCCCFEmpHgkxBCCCGEEEIIIYRIMxJ8EkIIIYQQQgghhBBpRoJPQgghhBBCCCGEECLNSPBJCCGEEEIIIYQQQqQZCT4JIYQQQgghhBBCiDQjwSchhBBCCCGEEEIIkWYk+CSEEEIIIYQQQggh0owEn4QQQgghhBBCCCFEmpHgkxBCCCGEEEIIIYRIMxJ8EkIIIYQQQgghhBBpRoJPQgghhBBCCCGEECLNSPBJCCGEEEIIIYQQQqQZCT4JIYQQQgghhBBCiDQjwSchhBBCCCGEEEIIkWYk+CSEEEIIIYQQQggh0owEn4QQQgghhBBCCCFEmpHgkxBCCCGEEEIIIYRIMxJ8EkIIIYRIwsWLF/Hw8ODu3bvpXRUhhBBCiH8tCT4JIYQQ4ofTvXt3rKysviqP58+fM2DAAO7cuUPp0qW/KI8xY8ZgZWXF8+fPv6ou4vs6f/48VlZWeHh4pHdVvpnveU7h4eF069aNihUrMmLECJ4+fcrIkSMZMGBAmpf9NZ4/f46VlRVjxoxJ76oIIcQPJ1N6V0AIIYTIaD43aHHv3r00qknSLl68yLFjx7h58ya3b98mPDyc1q1bM3369CSPUSgUbNiwgS1btvDkyRNMTEyoUaMGw4YNo2jRoqkuW3V9DA0NOXnyJLly5dJK8/79e2rVqkV0dDSQPtfoa8TExDB48GAsLCyYO3cuBgYG6V2l/7R69erx4sULALy9vbG0tNRKEx8fT506dXjz5g0AR48epUiRIt+1ninZsWMHY8eOTTZNSs/xv8G+ffu4desW7dq148SJEzRs2JBMmTLh6emZ3lXLEOLi4ti9ezcHDhzg9u3bvH//nsyZM2Nubo6joyMdOnSgcOHCWsc9efKENWvWcObMGQIDA9HT06NIkSI4OjrSq1cvzMzM0uFsvp+AgAAOHDjAyZMnefLkCe/evSNPnjxUrVqVvn37UrJkSZ3HvXnzhvnz53PixAnev39PoUKFaNWqFb1798bQ0FCdTqlUcuLECY4dO8aVK1d4+fIlcXFxFC9enKZNm9KrVy8yZ86ss4yTJ0+ybNkybt26hZ6eHuXKlcPd3Z3q1aunybUQ4t9Igk9CCCHEJwYOHKi1be3atXz48EHnvvSwfft2du7cibGxMQULFiQ8PDzFYyZMmMDWrVspXbo03bt3582bN+zfv5/Tp0+zefNmzM3NU11+pkyZiI2Nxdvbmx49emjt9/b2Jjo6mkyZMhEXF/c5p/ZNzJgxg8jIyC8+furUqXz8+JGNGzeSJUuWL85n+PDh9OnTh/z5839xHiKBvn5Ch/3t27frDOCcOHGCN2/efJN7ztbWln379ukMrH4L1atXp3Llyjr3lS1bNk3KTOtzSqxOnTpUrlyZkiVLMm7cOB49ekTOnDnJkydPmped0b148QJ3d3fu3r1L3rx5qVGjBgULFiQiIoLbt2+zfPlyVq1ahY+PD8WLF1cft23bNn7//Xfi4uKoVq0a9erVQ6lUcu3aNVatWsWmTZuYP38+tWvXTsezS1sLFixg3759WFpaUr9+fbJly8b9+/fZvXs3Bw8eZMWKFVSpUkXjmKCgIDp06MDr169p2LAhxYsX5+LFi8yfPx9/f38WL16Mnp4ekPClg5ubG0ZGRjg4OODo6EhMTAynTp1i3rx5HDlyhPXr12NsbKxRxu7duxk1ahS5c+emTZs2QEIAtlevXsyfP5/GjRt/nwskREanFEIIIUSK6tatq7S0tEzvaqj5+/sr79+/r4yLi1NevXpVaWlpqRw9enSS6c+ePau0tLRUdu3aVRkdHa3e7uvrq7S0tFS6uLikumxLS0ulk5OTslGjRsqWLVvqTNOqVSulk5OT0snJKUNdN/HvVLduXWX58uWVvXr1UlarVk0ZExOjlWbAgAHKypUrK7t27aq0tLRUPnv2LB1qmrzt27crLS0tlcuWLUvvqggdnj17luJ76df48OGD+j1xxowZGu/FKgEBAcq+ffsqb9++rd527NgxpZWVlbJq1arKy5cvax1z5MgRpa2trbJ8+fLKmzdvpkndM4Lt27crb926pbXdx8dHaWlpqWzatKnWvlGjRiktLS2Vf//9t3qbQqFQDhs2TGlpaan09vZWb4+JiVEuXrxY+e7dO408YmJilH379lVaWloqly9frrHv3bt3Snt7e2XVqlWVr169Um9/9eqVsmrVqsqqVasqP3z48MXnLMSPROZ8EkIIIb5CSEgIU6ZMoV69epQvX57q1aszZMgQ7t+/r5VWNf/Ps2fPWL58OY0aNcLGxoZ69eqxaNEiYmNjU12ujY0NpUuXTvVwsK1btwIwZMgQjIyM1Ntr166Ng4MDp06d4uXLl6kuH6Bt27bcuXOHW7duaWy/e/cut2/fVn8D/CkPDw+srKw4f/681r4dO3ZgZWXFjh071NsSz8Py5MkTBgwYQJUqVbCzs6Nnz546JwNPbs6nI0eO4OLiQtWqVdXX/5dfftFoM111TFyPBw8e4Obmhr29PRUrVsTFxYWbN29qlZXcnE/bt2+nffv2VKxYkYoVK9K+fXuN807s4MGDdOvWjerVq2NjY4OjoyM9e/bk4MGDOtPrEhwczPTp03FycsLW1hYHBwfat2/PypUrtdIeO3aM7t27U7lyZWxtbWnRogWrV6/W6lGU+Jo8fPiQvn37Ym9vT5UqVRg+fDghISEAXL16lZ9//plKlSpRpUoVxo0bR0RERKrrrtK2bVtCQkI4fvy4xvaQkBB8fX1xdnbWOSwmJiaG9evX4+rqSu3atdXP6sCBA7l9+7ZW+qTmRwoICGDs2LHq593BwYEWLVowZcoUlErlZ59PShLX48qVK3Tv3p2KFStSrVo1fv/9d6KiogDw9fWlY8eO2NnZUaNGDWbOnKnVVl97Tm/evOHPP/+kUaNG2NraYm9vT5MmTZgwYQIfPnzQyPNz3hchoX1Wr15N69atsbOzo2LFinTp0oWjR49qpf3w4QMLFiygadOmVKxYkUqVKtGwYUNGjx6tHpqZkvj4eP766y8aNmyIjY0NDRs2ZNmyZcm2YXBwMFOnTqVhw4aUL1+eqlWrMmjQoCTPSZdVq1bx+PFjWrRowahRozTei1WKFy/O0qVL1UPI4uLi+OOPP1AqlcydO5dKlSppHVO/fn3GjRtHTEwMU6dOTXV9UqJUKtm2bRudOnWiUqVKVKhQgTZt2rBt2zattInfM7dv307z5s2xtbWlXr16rFu3Tp3fqlWrcHJywsbGhkaNGrFr165U16dNmzZYW1trbXd2dsbc3Jx//vlH/Z4DCXOP7du3j6JFi9KpUyf1dj09PUaMGAHAli1b1NsNDQ3p378/OXPm1Mjf0NCQvn37AglD3hM7cOAAYWFhdOvWjQIFCqi3FyhQgG7duhEaGsqRI0dSfY5C/Mgk+CSEEEJ8oZCQEDp27Mi6desoXLgwvXr1olq1ahw+fJgOHTpw6dIlncdNmTKFFStWUL16dbp164aRkREeHh7qP4bTwvnz5zExMdH5waVWrVoAXLhw4bPybNWqFQYGBloBk23btmFgYECrVq2+uL66vHjxgg4dOvD+/Xvatm1LjRo1OHv2LD169ODt27epymP69OkMGDCAW7duUb9+fXr27EmlSpU4e/YsZ86cSVUez549o3PnzkRFRdG5c2fq1avH+fPn6datG9evX09VHn/++Se//vorgYGBtG3blrZt2xIYGMjYsWP5888/NdL+/fffDB48mICAABo2bEivXr2oVasWb9++5fDhw6kq79GjR7Rs2ZLVq1eTJ08eunfvTrNmzciSJQvLli3TSLt69Wr69+/P/fv3adasGV27diU6Oprp06czZMgQnR/Qnz9/TqdOnYiJiaF9+/aUKVOGvXv3MmDAAC5dukTPnj0xMTGhY8eOFC1alG3btvHHH3+kqu6JNWzYkJw5c2rdc7t37yY2Npa2bdvqPO79+/dMnTqVmJgYateuTc+ePXFwcMDPz49OnTrh7++fYtmBgYG0b98eb29vypYtS8+ePWnevDn58uVj48aNxMfHf/b5pNb169fp2bMn2bNnp1OnThQqVIiNGzcyfvx49u3bx+DBgylUqBAdO3Yke/bsrFy5kqVLl36zc4qMjKRz5854eXlRtGhRunXrRuvWrTE3N2fPnj0aH/g/930xJiYGV1dXpk+fjlKppF27drRo0YKXL1/i7u6Ol5eXOq1SqcTV1ZXFixeTM2dOOnToQMeOHSlbtizHjh3jyZMnqbqev/32G3PmzEGhUNC1a1ccHR1ZvXo1U6ZM0Zn+6dOntGnThrVr11KsWDG6d+9O7dq1OXnyJB07dkz1c799+3aAVE28rgpMnT9/nhcvXqgDi0lp27YtZmZmXLp0KdXXITlKpZKRI0cybtw4QkNDadasGe3btycyMpJx48YxY8YMncetXbuWadOmYW1tTYcOHYiLi2PKlCls3bqVyZMns3LlSuzt7Wnbti3v3r1j9OjRWgGdL6GauylTpv/NKnPt2jViYmKoUaOGemidSuHChbGwsODKlSupenZV+X76hY/q96ajo6PWMaptn/u7VYgflcz5JIQQQnyhWbNm8fTpU/r27cvw4cPV2/38/HBzc+PXX3/lwIED6rlqVK5fv87u3bvV35IOGzYMFxcXDh48yMGDB3Fycvqm9YyIiCAoKAhLS0udPaVU84p87gcWMzMzfvrpJ3x8fBg9ejRGRkbExMTg7e3NTz/99M0nv71w4QIjRozAzc1NvW3+/PksWbKEHTt2aGzX5fjx46xevRpLS0vWrVunMfdNXFwc7969S1U9Ll26hJubm0awUDV57fjx4/H29k72+IsXL7J+/XpKlizJ5s2byZ49OwCDBg2iQ4cOrF+/nsaNG2Nvbw8kBPMMDQ3ZvXu31pw5oaGhqarzL7/8QlBQEH/88QcdOnTQ2Pf69Wv1z0+fPmX27NnkyZOH7du3U7BgQSDhHu3ZsydHjhxh9+7dWoHFixcv8uuvv/Lzzz8DCR9c+/bti5+fH/3792fOnDk0aNAAQB0k2rNnDyNGjCBv3rypOgdI+EDevHlzNm3aRFBQEPny5QMSPtRbWlpia2ur87icOXPi6+urNffWgwcP6NChA/PmzWP16tXJln3o0CHCwsI0zlPl3bt3Gh96U3LmzBn1ZPyfatq0qdbEySdPnsTT01PrGvr4+HDq1Cm8vLzU5z5o0CAaNWrE+vXr6du3r8aEyl96TmfPnuX58+f8/PPP/PrrrxrpPn78qFHG574venp6cuHCBdzd3Rk8eLA6SBAeHs7PP//M9OnTadiwIfnz5+f+/ftcv36dBg0aaE1eHhMTk6reo6qeOWXKlGHjxo2YmJgA0K9fP1q2bKnzmFGjRhEUFMSKFSvUwXqA/v3707Zt21Q99y9evOD169cUKFDgs+bXu3r1KgDVqlVLNp2BgQEODg74+Phw9epVjfmivsTWrVvx8fGhTZs2TJ48Wd3GqsUYVq1ahbOzM+XLl9c47vLly+zcuVO9iIWrqysNGzZkxowZ5MmTB29vb3Lnzg0kTK7foUMHVq5cqTVX0+fw9/fnwYMH2NjYkCNHDvV21e+0pK63ubk5jx8/5uXLlykuuqEKHNasWVNje0BAAIDO6/2lv1uF+FFJzychhBDiC8TExLB3715MTU3p37+/xr7atWtTs2ZNnjx5wpUrV7SO7dGjh0b3fCMjI4YOHQrAzp07v3ldVUNismXLpnO/avunQ2dSQ/XttWpYwZEjR3j37h3t2rX7wtomrUiRIvTu3Vtjm6qcGzdupHj833//DcC4ceO0Jl3OlClTqoMgOXLkoF+/fhrbatWqRfXq1bl//77O4XeJqdp44MCB6sATJARIVBPaf9qzx9DQUGdwIzWTR/v7+3Pz5k2qVKmiFXgCNO5Fb29v4uLi6NWrlzrwBAn36MiRIzXqn1ixYsU0Jp7X09OjadOmQMIE2qqgiepcnJyciIuL459//kmx/p9q27YtcXFx6npcv36dBw8eJNnrSVV/XZO+ly5dmqpVq3Lx4sVUD3vVNQG9qalp6ir//86ePcuiRYt0/nv8+LFW+qpVq+q8hkqlkrp162oE3bJly0adOnV49+6dRmDxW5yTrnRZs2ZV99L53PdFhULBxo0bKVasmEbgSXUeAwYMIDY2VquHn656GBkZkTVr1hTPVTXMa8CAAerAE0D+/Pl1Lp5w+/Ztrl69SqtWrTQCTwAWFhZ06NCB+/fvpzj8TtU7M/HzlhpBQUEAGs9jUlRpVMecOnWKdu3a0bx5c+rXr0+vXr10DlPWxcvLCxMTEyZOnKgRXDQyMmLYsGEA7N27V+u47t27awRyChYsSOXKlfnw4QP9+/dXB54AKlSoQNGiRb9qNdQPHz4wevRo9PX1+eWXX7T2ARrvs4mp7peUfvf5+fmxefNmSpYsSfv27TX2qRb70FXG1/xuFeJHJD2fhBBCiC/w6NEjoqOjqVq1qtbKN5DwYfH06dPcuXNH3YNF5dPXABUrViRTpkw655/JyOrUqaPuJdO0aVO2b99Onjx5qFOnzjcvq2zZslq9yFQf5MLCwlI83t/fX72K0dfWQ9eHXHt7e86ePcudO3e0egMkdufOHSDhHvmUalviD4hNmzZl1qxZNGvWjGbNmlGtWjUqV66cZDDxU6ohZZ9+Y/+5datYsSKZM2fW+eHVyspKa1iLquebrtXbVPvevHmTYp0+ZW1tTdmyZdW93bZv346hoSEtWrRI9rg7d+6wYsUKLl++zNu3b7WCTaGhocn21qtbty5z585l8uTJnD17llq1auHg4JBijwldPu3Bl5LkrqGufaoeYW/evEm2fqk9pypVqpAvXz7++usv7t69S506dXBwcKBkyZIa7f6574uPHz/m/fv3mJmZsWjRIq30quF8jx49AqBkyZJYWVnh4+PD69evadCgAQ4ODjrfG5KiCnToeh/Wte3atWtAwpxPn86Xlbhujx49wtLSMlV1+F7y5s3LvHnzKFq0KLGxsQwdOpS+ffvi6+ur9bwmFhkZyf379zEzM2P58uVa+1XzianOPbHk7scyZcro3JeaYa+6REVFMWDAAB49esSwYcN0vm99LX9/f4YNG0b27NlZsGCBznm6hBCpI8EnIYQQ4guovu1MqreM6o9tVbrEdC03bmBggKmpaZp8Q6r6RlZXXRJvT+rb4eSoPvSvXbuWK1eucObMGXr27PlZQ5BSS1ewRVWOQqFI8fjw8HDy58+f6g+pSUmqzVXtmlIbhoeHo6+vr9EDIHHeenp6Gm3l6uqKqakpGzduZPXq1axatYpMmTJRu3Ztxo4dm2LwQ1UfXT1/dNUt8bkkpqenR968eQkMDNTap6ttVEM8k9v36aTYqdW2bVv+/PNPzpw5w969e6lXr57O66ly5coV9bCymjVrYm5ujomJCXp6ehw5coS7d+8SExOTbJlFihRh8+bNLFq0CD8/P/bv3w9AiRIlGDx4ME2aNPmic0mNz72+qucipeub2nPKnj07W7ZsYeHChRw/fhw/Pz8goVdLnz596Nq1K/D574uqoa4PHjzgwYMHSdYzMjJSfV5r165l0aJFHDx4kOnTpwOQO3duunbtSv/+/VNchOHDhw/o6+vr7DWo675///49kDCpu6+vb4p1TIrqmuh6fpKjumavXr1KMa0qja5gj6GhIRUqVODo0aOEh4cn+34fFhaGUqkkMDBQZ1BQRdeiAcndj0nt+5L3gejoaNzd3Tl//jx9+/bV6o0K//udltR78sePHzXSferGjRu4urqir6/PihUrKF26tFaaxL2bPr2nvuZ3qxA/Igk+CSGEEF9A9QdnUhNdq7br+mM7ODiYEiVKaGyLj4/n3bt3Oj/8fC0TExPy5cvH8+fPiY+P1/pwppqP4kvnCGnXrh2rV69m6NChKBSKFIfcqb5x1zXJa1oOT8iePTtBQUEoFIqvCkAl1ebBwcHqcpKTLVs2FAoFISEhWu0dHByMUqnUuG/09PRo164d7dq1IzQ0lMuXL+Pj48P+/ft58uQJe/bsSfYDt2oOlNR86FWVGxwcTOHChTX2KZVK3r59m+oeV2mpefPmzJw5kzFjxhAeHp7skDuApUuXEhMTw4YNG7R6t6h6tqSGpaUlCxcuJDY2llu3bnHixAnWr1/PsGHDMDMzo3Llyl9yOukqtedUqFAhpk+fjkKh4N69e5w6dYr169czefJkcubMSbNmzT77fVH1v5OTEwsXLkxVfXPlysVvv/3G+PHjefToEefOnWP9+vV4eHhorEqWlOzZs6NQKAgNDdUKWKqe4cRUdfztt9/o1q1bquqoS+HChcmfPz+vXr0iICAg1fM+VaxYEYBz584lmy4+Pl49cbfqmMRCQkJYt24djRo1SvE9StWzs1y5ckmuwJmeoqKicHd35/Tp0/Tu3VtjbrHEVL/TVPMyfSogIABDQ0OdQxpv3LiBi4sLCoWCVatWJTmfnLm5OTdv3uTJkydawaev/d0qxI9G5nwSQgghvkCJEiXInDkzN27c0PmN9/nz5wHdQxB0rYJ39epV4uLidC4j/S04ODgQERGhcw6qkydPAnzxhK+lSpWiQoUKBAYGYmdnpzVZ8qdUy1jrCoaohn2lBVtbW2JiYr565aE7d+6ovzFPTNWuuto8MdV+1T2SmKpuuoanQMIH7wYNGjB//nyqVavGP//8k+JktjY2NgCcPn062XQp1e369etER0cnWbfvydTUlAYNGhAYGEj+/Pm15uL51NOnTzE1NdUKPEVGRn7RUFdDQ0Ps7OwYPHgw48aNQ6lUJtsr5t8gteekr69P2bJl6dOnD3PnzgXg2LFjwOe/L5YsWZJs2bJx8+bNVM+5paKnp0fJkiXp2rWrerJ4VT2SY2VlBeh+H9a1rUKFCsD/Jv7+GqrA/JIlS1JMq+qJV7VqVQoXLsy1a9c4e/Zskul37NhBYGAg9vb2WsGO6OhoBgwYQNasWZk0aVKKZWfLlo2SJUvy6NGjVA1p/p4SB55cXFy05nlKzM7ODkNDQ86cOaO1SueLFy94/PgxlSpV0uqpqwo8xcfHs2LFCvU9oIvq9+apU6e09qm2fe1QbyF+FBJ8EkIIIb6AkZERzs7OhIaGai1Vf+LECU6dOkXx4sWpVKmS1rHr1q3TmAg4JiaG+fPnAwmr/6QF1UTTCxYs0Bhe5Ofnx4ULF3B0dNTq6fI5pk6diqenZ5JLlSemCobs2rVLY7jc1atXU1wx6muohgZNmTJFa2W7uLi4JHtrfCosLExrGfuTJ09y9uxZLC0tk53vCf7Xxp6enhrD6z58+KAe4pL4Pjh//rzWB6fY2Fj1cKDMmTMnW56trS02NjZcvHiRLVu2aO1PHARs3rw5mTJlYs2aNRrbY2JimD17tlbd0tOIESPw9PTE09MzxZ5shQsX5v379xpDu+Lj45kxY4Z6XqGU3Lx5U+fQVVVvmZTaISNK7Tk9ePBA5/Oh2qZK97nvi5kyZaJz5868ePGCGTNm6AxA3b9/X12f58+f8/z58yTrkZr5eFQr2nl6emoMGwsMDGTdunVa6W1tbalQoQJ79+5l3759WvsVCkWqA9ouLi5YWFiwa9cu5s6dq3Oo57Nnz3B3d+fhw4dAwjVSrTA4fPhwrl+/rnWMr68vU6ZMwcjISGs1QtXwtJCQEFavXp2qRQogYeLwyMhIxo8fr3N43bNnz3S2RVpSncvp06fp1asXo0ePTjZ9tmzZcHZ25tmzZ2zatEm9XalUqgOnny7CcPPmTVxcXIiLi2P58uU6e5El1qRJE7Jnz46Xl5fG7/XXr1/j5eWl/sJACCHD7oQQQogv9ssvv3Dx4kWWLFnC1atXqVChAi9evODAgQMYGxszdepUnR+KK1SoQMuWLWnSpAnGxsYcP36cx48f06hRI5ycnFJV9qVLl9i2bRvwv0l5L1++zJgxY4CEHjKJ/zCvVq0a7du3Z+vWrbRp04batWsTFBTEvn37MDU1Zfz48V91LUqVKkWpUqVSldbOzo5KlSpx7tw5OnbsiL29PS9fvuTo0aPUrVtXa2Wrb6V27dq4uLiwatUqnJycaNCgAXny5CEwMJCzZ8/i4uJCz549U8zH3t6ejRs3cv36dezs7NRtniVLFv78888Uj69SpQrdu3dn/fr1NGvWjEaNGqFUKjl06BCvX7+me/fuGr3QBgwYQLZs2ahQoQKFChUiLi6OM2fO8M8//+Dk5JSqoOHs2bPp3r07v/32G7t378bOzo7o6Gj++ecf7ty5o+6RUqxYMUaOHMn06dNp0aKF1j1av379JJej/96KFClCkSJFUpW2W7dunDp1ii5dutCkSROMjIy4cOECgYGBODg4pCp4sHv3bjZv3kyVKlUoWrQo2bJl459//uHEiROYmprSpk2bVNf9zJkzREdH69yXN29eOnfunOq8vkZqz+n06dPMmjWLSpUqYW5ujqmpKc+ePePYsWNkzpyZLl26qPP83PfFwYMHc/v2bdavX4+fnx/29vbq5/L+/fvcvXuXzZs3kydPHu7evcvAgQOxtbWlZMmS5MuXj8DAQI4cOYK+vn6qnt9q1arRpk0bduzYQfPmzWnYsCExMTHs27cPOzs7jh8/rnXMnDlz+Pnnnxk2bBhr167F2tqaLFmy8PLlS65du0ZISEiqVtzMli0bK1euxN3dnWXLlrFjxw5q1qxJgQIFiIyM5M6dO1y5cgUDAwON9+8GDRowefJkJk+eTKdOnahWrRply5ZFqVRy7do1rly5gomJCR4eHpQrV059nGpC7tDQUP7+++/PGtbdqVMnrl+/zs6dO7ly5Qo1atTAzMyM4OBgHj16xPXr15kzZ06qn8FvYeLEiZw+fZp8+fKRNWtWnRPAt27dWqNOI0aM4Pz580yaNImzZ89SrFgxLl68yLVr16hbty7Ozs7qtO/evcPFxYWwsDBq1arFmTNnOHPmjEb+2bNn17jPcubMyW+//caoUaNo3bq1epXPffv28e7dO+bNm5chhioLkRFI8EkIIYT4Qrlz52bLli0sXryYY8eOcfnyZbJly0b9+vUZOHBgkisfjRs3jv3797Nt2zZevnyJmZkZgwYN+qzVr54+faq15P3Tp095+vQpkNDT49NvhSdPnoylpSVbtmxh3bp1mJiY0LBhQ4YNG0axYsU+8+y/zuLFi5k+fTq+vr7cv3+fMmXKsHTpUt68eZNmwSeA0aNHU7FiRby8vDh48CDR0dHky5ePatWqpWo1OICiRYvy+++/M2vWLDZs2IBCocDBwYERI0ak2OtJZfz48ZQtW5aNGzeqeyOVKlWKwYMHa81fNHz4cE6ePMmNGzc4fvw4xsbGFCtWjN9//z3F+bVUzM3N2blzJ8uWLeP48eOsXbuWrFmzUrx4cfr376+RtlevXhQrVow1a9awZ88eYmNjMTc3Z8yYMXTv3j3ZVbIyqrp167Jw4UKWLVvGnj17yJIlC9WqVVP3nEqNZs2aER0dzdWrV/H39ycmJoYCBQrQuXNnXF1dKVSoUKrrc/bs2SSHUJUpU+a7BZ9Se061atXixYsXXLp0iUOHDhEREUH+/Plp2rQpvXv31gg8f+77opGREcuXL2fbtm3s2rWLQ4cOERMTQ968eSlZsiSdOnVSH1O+fHn69OnDhQsX8PPzIywsjHz58lGjRg1cXV2xs7NL1Xn/+eefWFhYsGXLFry8vChQoAC9evWiSZMmOoNPRYsWZefOnaxevZqjR4+yY8cO9PX1MTMzw97ensaNG6f6mhcuXJht27axZ88e9u/fz6lTp3j//j1GRkaYm5vTu3dvOnXqpDUPUceOHXFwcGDt2rWcPXuWK1euoKenR+HChdWB808XFVi7dq26t5mLi4vG+at6oCZFT0+P6dOn89NPP7F161Z8fX2JiIggd+7cFC9enNGjR1O9evVUn/e38OLFCwCCgoKSnAjdwcFBI/hkZmbGli1bmD9/Pn5+fhw7dozChQszZMgQevfurfF+Fh4eru5RevLkSfWQ9MQKFy6sFeRs2bIluXLlUgcUIeFe7d+/PzVq1PiqcxbiR6Kn/LQftxBCCCHSxJgxY9i5cydHjx79rt8Wi2/j+fPn1K9fn9atW6tX2RJCCCGEECmTOZ+EEEIIIYQQQgghRJqR4JMQQgghhBBCCCGESDMSfBJCCCGEEEIIIYQQaUbmfBJCCCGEEEIIIYQQaUZ6PgkhhBBCCCGEEEKINCPBJyGEEEIIIYQQQgiRZjKldwWEEP8+V69eRalUYmhomN5VEUIIIYQQQgiRTmJjY9HT06NixYrJppOeT0KIz6ZUKtX/hEiOUqkkJiZG7hWRIrlXRGrJvSJSS+4VkVpyr4jPIfeLptR+LpSeT0L8v5iYGNq1a4e9vT0TJkxI7+pkaIaGhsTExFC6dGmMjY3TuzoiA4uMjOTx48dYWFjIvSKSJfeKSC25V0Rqyb0iUkvuFfE55H7RdOPGjVSlk55PP5g9e/bQrl07KleuTKVKlWjSpAnjxo0jODhYnSY+Pp7u3bvj6OjIgQMHWLRoEYsXL/4m5T9//hwrKyv1P1tbW+rUqYO7uzv79+9Ps+iwlZUVK1euTDbNnTt3sLKy4vz58zr3z58/n5w5c/Lrr7+mqkzVuR44cOCz65uUdu3asWHDBvXrMWPGaFxPOzs7WrRowdatW5PMY82aNVhZWek8D4VCgZOTE3v27PnquhoZGcmbrUiRsbEx1tbWcq+IFMm9IlJL7hWRWnKviNSSe0V8ju91vygU8Wma//cmPZ9+IMuXL2fOnDn07NmTwYMHo1QqefDgAd7e3rx584Y8efIAcOvWLYKDgxk9ejTz5s0jIiKC9evXf9O6DB8+nKpVqxIbG8vLly85evQoQ4cOpV69enh4eJAp07e99TZv3kyhQoW++PhLly5x4MABtm3bluq6mZmZsXnzZszNzb+43MQOHz7MixcvaNu2rcb2okWLMnv2bAA+fvzI4cOHGT9+PCYmJjg7O2vlowosHT58mN9//x0jIyP1Pn19fdzc3PDw8KBp06Zf3Q57D08hJPTJV+UhhBBCCCGEEOJ/cucqjnPDceldjW9Kgk8/kPXr19O6dWvGjBmj3la7dm169+6NQqFQb7O1tWXfvn0ANG/ePE3qUrx4cezs7NSvW7ZsyebNm5kwYQLLly+nf//+37S8xGV9CXt7e44dO5bq9FFRUWTJkuWry01s7dq1ODs7kyVLFo3tn5ZTs2ZNrl27xqFDh7SCT48fP+bWrVvUqFGDM2fO4OvrS6NGjTTSNG3alD///BNfX18aNGjwVXUOCX3Cm7cPvioPIYQQQgghhBA/Nhl29wMJCwvDzMxM5z59/f819a5du+jcuTMODg5UqVKF7t274+/vr3XMxYsX6dSpE7a2tlStWpWxY8fy7t27L65fx44dsbGx0RhWBvDw4UP69+9P5cqVsbOzw83NjadPn2qk2bZtG87Ozuq6dO7cWaPOuobdLV68mJo1a1KxYkUGDhyoMfRQRalUsnLlSpycnChfvjz169dnzZo1Gmk8PDyoWLEi/v7+Guega9idQqFg8eLF1KtXj/Lly9O4cWM2bdqU4rV59uwZly5donHjximmBciaNStxcXFa2318fNDT02Py5MnkzZsXb29vrTTGxsbUrl2bnTt3pqosIYQQQgghhBDia0jw6QdSrlw5Nm3axNatWwkKCkoy3fPnz2nVqhULFixg9uzZFCxYkK5du/L48WN1mps3b9KrVy+yZs3KggULGDlyJMePH6dPnz7Ex3/52NOaNWsSFBTEixcvgISgS6dOnXj//j3Tp09n9uzZhISE0LNnT2JiYoCEINi4ceP46aef+Ouvv5gxYwbVq1fnw4cPSZbj5eXFggULaNGiBQsXLqRo0aKMG6fdbXHKlCksXLiQVq1a8ddff9G6dWtmz57Nxo0bNdLFxsYyYsQIWrRowfLly6lZs6bOcmfOnMmiRYto3bo1S5cuxdHRkYkTJ+Ll5ZXsdTl37hyZMmXC1tZW5/64uDji4uIICwtj27ZtXLlyBScnJ610Pj4+2NvbU7RoUZo0aYKvr6/O61SxYkXOnTun0SNOCCGEEEIIIYRICzLs7gcyceJEBg4cyPjx4wEoUqQIdevWpWfPnhQpUkSdbuDAgeqfFQoFNWvWxN/fn507dzJ8+HAAli5dSr58+Vi6dCmGhoYAFCxYEFdXV/z8/KhXr94X1bFgwYIAvH37lsKFC7No0SJy5szJ6tWryZw5MwCVKlWifv36bN26la5du+Lv74+pqSmjR49W51OnTp0ky4iPj2fZsmW0bNlSfUytWrUIDg5m9+7d6nRPnz7Fy8uLSZMm0bFjRwBq1KhBVFQUnp6edOzYUd1jLDY2lmHDhtG0aVP18c+fP9coNyQkBC8vL1xdXRk0Kq64iwABAABJREFUaBAAjo6OhIaG4unpSefOnTEwMNBZ5xs3bmBubq4xP5PKgwcPKFeunMY2FxcXWrRoobHN39+fgIAAevXqBUCzZs1Yv349Bw8epF27dhppy5QpQ3h4OA8fPqR06dJJXEkhhBBCCCGEEOLrSc+nH4ilpSU+Pj789ddf9OjRg+zZs7N+/XpatGjBnTt31OkePnzIgAEDqFGjBmXLlqVcuXI8fvyYgIAAdZpLly5Rv359deAJEgIpOXLk4PLly19cR9Vqd3p6egCcPn2aevXqYWBgoO7dkyNHDqytrbl58yYA1tbWvHv3jjFjxnD69GkiIyOTLeP169e8efOGhg0bamz/tKfQmTNnAGjUqJG67Li4OGrUqEFQUBCvXr3SSF+7du1ky/X39yc2NlZr6FyTJk0ICQnRuL6fevPmDbly5dK5r1ixYmzbto1t27bh5eXF0KFDWb9+PYsWLdJI5+Pjg6Ghobp8Ozs7ihYtqnPonaqs5HrICSGEEEIIIYQQ34L0fPrBGBkZUbt2bXWg5OTJk/Tt2xdPT08WLVpEeHg4Li4u5M6dmzFjxlCoUCEyZ87M+PHjiY6OVucTFhamXh0vsTx58vD+/fsvrt/r168ByJs3LwChoaGsXbuWtWvXaqVVBb6qV6/OzJkzWbduHa6urmTOnBknJyd+/fVXTE1NtY5TBVRy586tsV1VpkpoaChKpZJq1arprOurV68oXLgwkDBPUtasWZM9N9V1+bQc1evk5suKiYnR2esJIHPmzNjY2KhfV6lSheDgYJYuXUq3bt0wNTVFoVCwb98+HBwc0NfXJywsDID69euzbt06AgMDyZ8/vzoPVVlRUVHJnpMQQgghhBBCCPG1JPj0g6tVqxZlypTh4cOHAFy7do3Xr1+zbNkyypQpo0734cMHChQooH6dM2dOnRN0BwcHkzNnzi+uz6lTp8ifPz+FChVSl1O7dm26dOmilTZxsKdly5a0bNmSkJAQjh49yrRp08iUKRNTp07VOi5fvnxAwjC4xN6+favxOmfOnOjp6fH3339r9PBSsbCwUP+s6qmVHFUgLDg4WCPQoypXV6AscV1U82ClRokSJYiNjeXJkyeYmppy7tw5goKCCAoKokqVKlrp9+3bpx6OB6iDU8nVSQghhBBCCCGE+BYk+PQDefv2rVavm6ioKF69ekWpUqXUrwGNYMuVK1d48eKFxtw/lStX5ujRo4wZM4ZMmRJuk9OnTxMWFkblypW/qH6bN2/m5s2bjBgxQr2tevXqPHjwAGtr6yTnQ0osd+7ctG/fnhMnTvDo0SOdaQoUKEC+fPk4fPiwxtC7gwcPaqSrXr06kNAj6UvnsErMxsYGQ0NDDhw4gLW1tXr7/v37yZMnD+bm5kkea2Fhwfnz51Nd1oMHD4D/DZ/z9vbGxMSExYsXa6xsCDB16lS8vb01gk+qQFdydRJCCCGEEEIIIb4FCT79QJo3b07dunVxdHTEzMyMwMBAvLy8CA0N5eeffwYS5gEyMTFh0qRJuLm5ERgYiIeHh0ZPHYB+/frRqVMn+vbtS/fu3Xn79i1z5szB1tY2xbmPAJ48ecK1a9eIi4vj5cuXHDlyhIMHD9KwYUNcXV3V6QYPHky7du1wdXWlQ4cO5M2bl7dv33LhwgXs7e1p1qwZCxcu5N27dzg4OJAnTx7u37/PyZMn6dmzp86yDQwMcHNzY8qUKeTJk4eaNWty+vRpreCOhYUFXbt2ZdSoUbi6ulKhQgViY2MJCAjg/PnzLF68+LOuf+7cuenWrRsrV67EyMgIOzs7/Pz88PHx4bfffks2uFapUiU8PT15/fq1Rg80SAgYXrt2Tf3zpUuX2Lp1KzVr1qRYsWJER0dz+PBhGjVqpA6oJda2bVumTJnCo0ePKFGiBJCwmmHJkiW1hiZ+rty5in/V8UIIIYQQQgghNP2In7Mk+PQDGThwIMePH2f69OmEhISQK1curKysWLNmjXpeo7x587JgwQJmzpyJu7s75ubmTJo0iRUrVmjkVb58eVatWsXcuXMZNGgQJiYm1KtXj9GjR6eqh9LcuXOBhLmFcufOjbW1NQsWLMDJyUljCFvx4sXZunUr8+fPZ9KkSURERJAvXz6qVKmClZUVkNCjaO3atezfv5/w8HAKFCiAq6sr/fv3T7L87t27ExYWxt9//83GjRupXr06f/75J71799ZIN378eCwsLNi8eTOenp5kzZoVCwsLrUnDU2vUqFFkz56dbdu2sXTpUgoXLsykSZPo1KlTssc5ODhgamrKiRMn6NChg8a+Z8+eqVfjMzQ0pHDhwri6utKnTx8AfH19+fDhA61atdKZd7NmzZg5cybe3t4MGTIEgBMnTmhNwP4lnBuO++o8hBBCCCGEEEJoUiji0ddP+bP3v4WeUrX8mBAiXU2fPp3bt2+zbt26NC3nwYMHtGzZkoMHD1K0aNEvyuPGjRvExMRgbW2NsbHxN66h+JFERkby+PFjLCws5F4RyZJ7RaSW3CsiteReEakl94r4HHK/aLpx4waAxiJZuugnu1cI8d24uLjg7+/P3bt307ScVatW0bJlyy8OPAkhhBBCCCGEEJ/jPxN88vDwwMrKSutfs2bN0rtqGVLLli0ZM2bMV+dz/vx5jettZ2dH8+bNWbt2LfHx8Rppu3fvTt++fb+6zOfPn2uUaWtri7OzMytWrCA2Nvar8wfYsWMH3t7e3yQvFTMzMywtLVmyZIl626f3rY2NDU2aNGH58uUoFAqd+Rw+fBgrKyv1PF+JKRQKLl269NVzPUHCkEqJ9IuUGBsbSw85kSpyr4jUkntFpJbcKyK15F4RnyMt7heFIj7lRP9y/6k5n7JkycLatWu1tom0N23aNEqUKMGHDx/YtWsXU6dOJTo6Gjc3N3WaiRMnaq3U9jWGDx9O1apViYiI4NChQ8yaNYv3799rrLb3pXbu3ImJiQnNmzf/BjVNcOvWLe7cuYOHh4fG9sT3bVRUFOfPn2fOnDkolUqN66eiCopduHCBwMBAjcnk9fX1+eOPPxg0aBBubm7kzJnzq+q89/AUQkKffFUeQgghhBBCCPFflTtX8f/EXLr/qeCTvr4+dnZ23zTPqKgoCWClQunSpdVjQGvWrMnt27fZvn27RvCkVKlS37TM4sWLq9u7Ro0aPH78GC8vrySDT+ndluvWrcPR0VFr5cFP79tq1apx//59Dh06pBV8Cg8Px9fXlxo1anDmzBn27dtHr169NNJUq1aNHDlysHPnziRXDEytkNAnvHn74KvyEEIIIYQQQgjxY/vPDLtLjXv37uHq6oqdnR2VK1dm8ODBvHz5UiONlZUVf/31F7NmzaJmzZrqpe3r1avH5MmTWbNmDbVr16ZixYqMGTOGmJgY7ty5Q6dOnbCzs6Ndu3bcu3dPI8/o6GimTZuGo6MjNjY2tGzZksOHD2ukefDgAX369KFq1apUqFABJycnli9frt5/9epV+vXrh6OjI3Z2drRs2ZJdu3al6ryvXLlCmzZtsLGxoVmzZvj5+elMd+jQIVq2bImNjQ2Ojo5MmzaN6OjoVJWRmL6+PlZWVrx69Upju65hdxcvXqRTp07Y2tpStWpVxo4dy7t37z67TEhYwS8iIoKQkBD1cEBfX18GDx5MpUqV1CvBhYWF8fvvv+Po6Ej58uVp06YNp06d0qjnhQsX8PX1VQ+HS9xbadOmTTg5OVG+fHnq1avH4sWLkxwip6LqnZXaFeiyZs1KXFyc1vZDhw4RHR3NwIEDKVeuXJJDAxs3bpzq+0MIIYQQQgghhPga/6meT4DWB3YDAwP09PR49eoV3bp1o2jRosyaNYvo6GjmzZtHt27d2LNnD9myZVMfs27dOipUqMCUKVM08jt69CilS5dm8uTJPHv2jOnTp2NoaMi1a9fo2bMnefPmZfbs2QwZMoR9+/aph5iNHDmSkydPMnToUEqUKMHu3bsZNGgQnp6e1K9fH4B+/fqRN29epkyZQrZs2Xj69CmvX79Wl/3y5UsqVapE586dMTIy4sqVK4wfPx6lUknr1q2TvB5BQf/H3n1GRXV9DRh/GAQB6Sp2ESwoNgS7KIpdbFFjiSH2hhW7idGoMdiwIZYQe4lGowbQ2GOJLVFJEHvvBUEp0pl5P/By/45DFY0m7t9arMXce+acfWeuo7M9Z59w+vXrh4ODAwsXLiQ6Oppp06YRFxdHpUqVtK5txIgReHh4MGbMGG7evMmCBQt49OgRixcvzvX78PDhQ0qWLJllm7CwMPr06UOdOnVYtGgRz549w9fXl+vXr7N582b09XO37eT9+/cxNDTE0tJSOfb111/Tvn17/P39UalUJCUl0adPHyIiIhg1ahRFihQhMDCQQYMGsX37dhwcHJg6dSrjxo3DyMiICRMmAFC0aFEA1q9fz7fffounpyeNGzcmJCSEJUuWEBMTo7TNyF9//UVcXBwuLi4Znk+/z9KX3e3bty/D+lhBQUGUKFECZ2dn2rVrx6xZs7h58yb29vZa7WrUqMEPP/xAZGTkW6n/JIQQQgghhBBCZOajSj7FxcVRuXJlrWNz5syhQ4cOrFmzhpSUFFatWqUkJypVqoSHhwc7duzA09NTeY6FhQVLlixBT09PZ4ylS5diaGgIpNXc+emnnwgICKBRo0ZAWsHnwYMHc/XqVSpWrMjly5fZt28f06ZNo3v37gA0atSIBw8eKMmnyMhI7t+/z1dffYW7uzuQtnTqVR4eHsrvGo2GWrVq8eTJE7Zs2ZJl8mnt2rXo6ekREBCAmZkZkJZIeX051pIlS3BycsLX11eJ0djYmClTpnDlyhUcHBwyHSP9ulNSUoiJiWH79u2EhoYyf/78LJ+zfPlyChcuzPLlyzEwMACgWLFi9OvXjyNHjiivRXZjxsfHs3fvXvbv30/r1q216kq5u7szbtw45fHPP//M5cuX+eWXX5RlgA0bNuTOnTssXbqURYsWUa5cOUxNTTExMdFaDpeamoq/vz8eHh5MnjwZAFdXV5KTk1m1ahUDBw7Eysoqw1jPnz+PiYlJhjvQZXTftmnTRmfJXXh4OKdPn6Zfv37o6enRpk0b5syZQ1BQkDKrK13FihUBCA0NpXHjxlm+jkIIIYQQQgghRF58VMknIyMjNmzYoHUs/cv+mTNnqFOnjtasmLJly1KxYkXOnj2rlXxq1KhRhomnWrVqKYkngDJlyqBSqbQSRWXKlAHg0aNHSt+QtgzqVa1bt8bHx4e4uDisrKwoUaIE8+fPJyoqinr16ikzbdJFRUXh5+fHwYMHefLkibKT3KvXk5G///6bOnXqKIkngHr16mk97+XLl1y6dEln5k6bNm2YMmUKZ8+ezTb51LVrV63HAwcOpE2bNlk+58yZM7Rt21ZJPEFaMsfc3JyzZ89mm3zy9vZWftfT06NVq1ZKUijd64mX48ePU6FCBcqUKaM1q61+/foEBgZmOd7Nmzd5/vy5znvZpk0bVqxYQWhoKG5ubhk+Nzw8PNPE1Kv3bVJSEhcuXGDx4sVMnjwZHx8fpd3u3btJTU1VdnAsUqQItWrVIjg4WCf5lD5WeHh4ltckhBBCCCGEEELk1UeVfFKpVErR69dFR0drLTNLV7BgQaKionSOZcTc3FzrsYGBAUZGRloJqfRESnqtpKioKAwMDHSSRIUKFUKj0RATE4OJiQkrV65kwYIFTJ8+XZkJM2nSJGrVqgXAxIkTCQkJYejQocrMnB9//JFff/01i1ckLflga2urc/zVpVgxMTFoNBqd6zYzM8PQ0FDn9cnI7NmzKVu2LJGRkaxYsYKAgABq1aqlzAjLSHR0dIavdUbvSUbGjh1L3bp1MTY2pkSJEhluhfl6/8+fP+fixYs6M42AbJf5pcf0ep/pj7OKOTExUes+edXr962LiwupqanMmjWLPn36UKFCBSBtyZ2dnR3FihUjOjoaSJvZ5ePjw99//0316tWVPtLHSkhIyPKahBBCCCGEEEKIvPqokk9ZsbCwICIiQud4RESEMlspXUaznvIybnJyMlFRUVrb3j979gw9PT1lRpKdnR2LFy8mOTmZkJAQ5s+fz+DBgzl69Cj58uXj8OHDTJw4UWuG1qZNm7Idv3Dhwhled2RkpPK7mZkZenp6WscgLSmVlJSkFXdmypYtqyRQatasSatWrZg9ezYNGzbM9PXM6j3JyZilSpXKNNmY7vWxLSwscHBwYObMmdn2/7r0BOLrr1P6NWQVs4WFBTExMTkeK72G0/Xr16lQoQJ37tzh/PnzAEpC8lVBQUFayaf0sbKbGSeEEEIIIYQQQuSV7Hb3/1xcXDh16pTW7JSbN29y5cqVTItAv61xAfbs2aN1fM+ePTg6OmJiYqJ13MDAgNq1azNw4EBiY2N5+vQpSUlJqNVqreVpsbGxHDp0KNvxq1WrxunTp7USHydPntTaUa5AgQJUqlRJJ8b0WVW5fX0KFCjAiBEjuH79OgcOHMi0nYuLCwcPHtRa/nb8+HGio6Pf2XtSv3597t27h42NDVWrVtX5SWdgYKCz05+dnR3W1tYZvk4GBgZUq1Yt03Ht7OyIjIwkLi4uR3Feu3YN+N/yuaCgIPT09PD392fdunVaP66ursqSvHT3799XxhVCCCGEEEIIId4lmfn0/3r37s327dvp27cvQ4YMITExkYULF1KsWLEsC3bnVcWKFWnRogWzZs0iISEBOzs7AgMDCQkJYenSpQBcvnyZ2bNn06ZNG0qVKkVsbCwrVqygRIkSlC5dGn19fapWrUpAQADW1tbky5eP77//HlNTU51ZOK/r1asXmzZtYsCAAQwYMIDo6Gj8/Px0ZsQMGzaMoUOHMnbsWNq3b8+tW7dYsGABLVu2zLbeU0Y6duzI8uXLCQgIoHnz5hm2GTx4MN27d2fQoEF4enoqu91Vq1Yt09pJedWxY0c2b97MF198Qd++fSlTpgwxMTFcvHiR5ORkxowZA6TNPNq5cyeHDh2icOHC2NjYUKRIEby8vPj222+xtrbGzc2Nv/76i4CAAHr16pVpTScAZ2dn1Go1Fy9epGbNmlrn1Go1f/31FwDJyclcuHCBZcuWUa5cOaVtcHAwNWvWpFmzZjp9x8bG4uXlxYkTJ2jYsCGQtpOgiYlJhktNc8PaSnfJphBCCCGEEEKInPlYvlNJ8un/FStWjPXr1zNnzhzGjh2LSqWiQYMGTJw4EVNT03c69ty5c5k/fz4BAQG8ePECe3t7Fi9erBTULly4MIUKFWLFihU8efIEMzMzatasydy5c5U6RL6+vkyZMoWJEydiaWmJp6cncXFxrFq1KsuxbWxsCAgI4Ntvv2XkyJGULl2aKVOmsGDBAq12TZs2ZdGiRfj7++Pl5YWlpSVdu3ZVkjG5ZWBgwODBg5k8eTKnT5+mTp06Om2qVKnCqlWrmD9/PsOHD8fExAR3d3cmTJiQbf2lN2VoaMi6devw8/Nj+fLlhIeHY2lpiaOjI5999pnSbsCAAdy9e5cJEyYQHR3NsGHDGD58OJ6enuTLl481a9bw448/UrhwYYYNG8bgwYOzHNfOzo4KFSpw7NgxneRTQkIC3bp1AyBfvnwULVqU9u3bM2zYMAwMDAgLC+PWrVv069cvw74bNWqEtbU1QUFBSvLp6NGjNG/ePM+vo0fzr/L0fCGEEEIIIYT42KnVqahU7+Y77odCT6PRaN53EEIIWL9+PevWrWPfvn1vta7Y66KiomjQoAGrV6/OsD5UTpw/f56kpCQcHR0zLOQuRLr4+Hhu3bqFnZ2d3CsiS3KviJySe0XklNwrIqfkXhG5IfeLtvTaw9nVW5aaT+Kt8/Pzo0aNGrl6jqenJ4MGDXpHEf1zvLy8tIq+5+a1uHfvHk+ePFFqdW3fvh0HBwflp0qVKjRr1gxfX1/i4+Mz7OPixYs4ODhkupRx8uTJ9O7dG2dn5zdOPAkhhBBC/BtoNBri4+OR/2sX2ZF7ReSG3C9vRpbdCfEOffrppzmqT/XkyRO2bNnChAkTSE5O1jr3ww8/YGZmRnJyMufPn2fhwoVERUUxffp0nX6CgoIAuHv3Ln///bfWDneQtlywdevWSj2xvDA0NJRMv8iWsbExjo6O7zsM8S8g94rIKblXdH0MyzWEEEL8u0nySfznaTQakpOTMTQ0/MfHLlq0KEWLFs223ZYtW7C1taVnz5465ypXroy1tTUAtWrV4vHjxwQFBekkn9RqNbt378bFxYWwsDCCgoJ0kk+2trbUrFmT48eP07hx4ze/sP+3a/9MIp/fyXM/QgghhHgz1la2UoNRCCHEB0+ST+KdmzdvHkeOHOH+/fuYmppSq1YtJk6ciI2NjU7bnTt3smTJEp4+fUr16tWZNm0a9vb2yvnExETmz5/Prl27iIqKwt7enmHDhmktM5s4cSJhYWGMGzcOX19fbt68ybx582jUqBHz5s3j+PHjPH78mIIFC+Lq6sq4ceMwMzNTnu/u7k7jxo0pW7YsP/zwA9HR0dSpU0fZxS7djRs3mDp1Kn///TdFihRh6NChOtfj5+fHqlWrCAkJyfI12rlzJ507d87R61mgQAFSUlJ0jv/55588fvyYMWPGcODAAXbv3s2kSZN0ioq3atWKxYsXM2HCBPLly9tHQOTzOzx9di1PfQghhBBCCCGE+G97q8mnhIQEAIyMjN5mt+JfLiIigkGDBmFjY0NkZCSrV6/G09OTXbt2aSU/Lly4wN27d5Ud9BYuXEj//v3Zs2ePMmtp7NixHDt2jFGjRmFvb88vv/zC8OHD8ff3p2nTpkpfT58+5dtvv2XIkCEUK1aM4sWLk5CQQGpqKt7e3lhbW/Po0SOWL1+Ol5cX69ev14r50KFD3LlzhylTpvD8+XN8fHyYMWOGsgtgYmIiffv2xdjYmDlz5gCwePFiYmNjKVOmTK5enzt37vDgwQOcnZ0zPK9Wq0lJSVGW3W3dupWWLVvqtAsKCsLY2JhmzZphZGTE3r17OXHihLLDXTpnZ2eeP3/OpUuXsi0KJ4QQQgghhBBC5FWek08PHz7Ez8+PI0eO8Pz5cwCsrKxwc3Nj2LBhlChRIs9Bin83Hx8f5ffU1FRq1KhBo0aNOHXqFK6ursq5iIgINmzYoCRvHB0dadWqFdu3b6d79+5cvnyZffv2MW3aNLp37w5Ao0aNePDggU7yKSoqioCAAJ1lZ9OmTVN+T0lJoWTJknz22WfKbgXpNBoNy5YtU5JeDx48YMWKFajValQqFdu3b+fp06f8+uuvOvHmNvmUvjuAg4NDhucbNGig9bh27dpMmjRJ61hSUhL79u3D3d0dExMTGjdujJmZGUFBQTrJp3LlyqGvr09oaKgkn4QQQgghhBBCvHN5Sj7duHGDzz77jJiYGOrXr0/ZsmUBuHnzJr/88gu//fYbmzZt0lo2JT4+R44cYdmyZVy7do3Y2Fjl+O3bt7WST+XLl9dK3Nja2lKxYkX+/vtvunfvztmzZ4G0ZWOvat26NT4+PsTFxWFiYgKApaWlTuIJ0pa3rVmzhjt37hAXF6cVy6vJp1q1amnViCpbtizJyclERERQuHBhQkNDM403t8LDw1GpVFhZWWV4fs2aNZiampKamsr169dZvHgxw4YNY+XKlahUaRtWHj16lKioKNq2bQukFQNv3rw5e/bsISEhQWs2Yr58+TAzM+Pp06e5jlUIIYQQQgghhMitPCWffH19UalU7NixQ2fWxtWrV+nduze+vr74+/vnKUjx7xUaGoqXlxdNmzZlwIABFCxYED09Pbp27UpiYqJW24IFC+o8v2DBgoSHhwNps5kMDAywtLTUalOoUCE0Gg0xMTFK8qlQoUI6fe3fv58JEybQrVs3vL29sbS0JDw8nKFDh+rEYm5urvU4PRGV3u7p06eZxvt6X9lJTEwkX7586OnpZXjewcFBqTXl5OSEubk5w4cP58iRIzRp0gRIW3JnZmaGk5MT0dHRADRp0oTt27dz6NAh2rRpo3M9uY1TCCGEEEIIIYR4E3lKPv3555/06dMnw+VCFSpUoGfPnqxZsyYvQ4h/uQMHDmBqasrChQuVWToPHjzIsG1ERESGx9JnE1lYWJCcnExUVBQWFhZKm2fPnqGnp6dVNDyjRM6ePXuoVKmS1i5xf/zxxxtdl42NDRcuXMgwXlNT01z1ZWFhQVJSEomJieTPnz/b9ukzDK9du0aTJk2IjY3l8OHDJCQkUK9ePZ32gYGBOsmnmJgYnSSeEEIIIYQQQgjxLqjy8uSUlJQsi4sbGxtnuCuX+HgkJCRgYGCglQwKCgrKsO21a9e4c+eO8vjOnTtcvnxZWT7n4uICpCWRXrVnzx4cHR2VWU/ZxfKqzGLJTtWqVTONN7fSl/vdv38/R+2vXr0KoCzTO3DgAAkJCUybNo1169Zp/XzyySf8/vvvvHjxQnl+ZGQk8fHxWssMhRBCCCGEEEKIdyVPM58qVarE1q1b+fTTT7VmnQDExsaybds2HB0d8xSg+Hdr0KABa9euZcaMGTRv3pyQkBB++eWXDNsWLFiQwYMHM2LECAAWLVpEkSJF6NSpEwAVK1akRYsWzJo1i4SEBOzs7AgMDCQkJISlS5dmG0v9+vWZPn06/v7+1KhRgyNHjnDy5Mk3uq5OnTqxbNkyBg0axMiRI4G03e4yWu6XnWrVqpEvXz7CwsKUWU2vunDhAmZmZqSkpHDz5k1lnObNmwNpCbQSJUrQrVs3nRlfFhYW7Nixgz179ihF2tMLnKcn84QQQgghhBBCiHcpT8mn4cOHM2DAAFq3bk2nTp2U4su3bt1ix44dvHjxgilTpryNOMW/SEJCglIjyc3NjbFjx7Jhwwa2b9+Os7MzK1asoGXLljrPq1y5Mi1atGDu3LmEh4dTvXp1pk2bplX4e+7cucyfP5+AgABevHiBvb09ixcvxt3dPdu4unfvzv3799mwYQMrV67E1dUVX19funbtmutrNDIyYtWqVXzzzTeMGzeOIkWK4OXlxcGDB4mJiclVXyYmJjRs2JCjR4/SoUMHnfP9+/cHQKVSUaRIEerWrcvIkSOxtLQkIiKCkydPMnDgwAyXGlasWJFKlSoRFBSkJJ+OHTtGzZo13yhR9jprK9s89yGEEEKINyd/FwshhPg30NNoNJq8dHDixAnmzJmjs9yoUqVKjB8/PsMaNOK/bdiwYTx8+JDt27e/71D+NQ4dOsSYMWM4ceIExsbG72yclJQUGjduzNixY+nYseMb95M+e6pq1apvKTIhhBBCvCm1OhWVSv99h/HBiYuL49KlS1SqVCnb8gzi4yb3isgNuV+05fS7YZ5mPkHaUqadO3cSHh7Ow4cPAShevDiFCxfOa9fiX+bSpUv88ccfHD58mOHDh7/vcP5VmjRpgp2dHVu3buWLL754Z+MEBwdToEAB2rZtm+e+kpKSiI+Pf6fJMvHvFx8fz61bt7Czs5N7RWRJ7hWRU3Kv6JLEkxBCiA9dngqOv6pw4cJUr16d6tWrfxCJpwMHDuDs7KwUZxbv3pdffsnatWvp06cP/fr1e9/h/Kvo6enxzTffvPN/ROvp6TFz5kzy5ctz3lkIIYQQQgghhMiRXCWfdu7cyc6dO0lfqZf+OLufnPLz86NGjRq5uoCMPHnyhK+//pp58+ZRoUKFN+rDz88PBweHDH++//77LJ+7Zs0aHBwc3mjct23mzJk5qoeUE+nX/+OPP+qcO378OBcvXuTBgwd069btvSU3Xr+HTp8+jYODgzIVMCu+vr44OzuzaNEiTp48Se/evd9hpLpKlCjBd999p5UwdXd317r36tSpwxdffMGZM2cy7WfIkCE4ODhk+GfPxcWF/v3753hnvawYGhrK/ziLbBkbG+Po6Cj3isiW3Csip7K7V9Tq1H84IiGEEEJkJ1cZgokTJ6Knp0ebNm0wNDRk4sSJ2T5HT08vT7VlckutVjN+/Hh69+6d56SLkZERa9eu1TlerFixPPX7b2ZiYsLu3bvp0aOH1vHg4GBMTEyIi4t7T5Hl3aZNm/Dx8eHHH39kzZo1fPfdd//o+MuWLaNOnTo6CdOWLVvSt29fACIiIli7di39+/cnMDCQ0qVLa7V98eIFx44dA9Lek9f/7JUsWZKWLVvi5+fH7Nmz8xzzrv0ziXx+J8/9CCGEEG+DtZUtHs2/et9hCCGEEOI1uUo+HTx4EEDZfSz98YdEpVJlmDB6076cnJzeSl/vUkJCAkZGRv/IWE2bNmXXrl08efKEIkWKAGm1f/bv30+zZs0IDAz8R+J4F86ePQuQ4U5879rLly/5+eefmTNnjs65QoUKad2HNWvWpE6dOhw7doyePXtqtd27dy/JycnUr1+fkydPEhERQcGCBbXadOnShT59+jBhwgSsra3zFHfk8zs8fXYtT30IIYQQQgghhPhvy9WyuxIlSlCiRAmdx9n9vC2ZLcurWbMmfn5+ymNPT08GDRqkPH78+DEjR46kfv36VK1aFXd397c2qyU2Npbx48dTo0YN6taty5w5c0hN1Z7uvX37dhwcHIiMjNQ63qFDB63ZYyEhIQwePBhXV1ecnJzo0KGDztKp9GVkhw8fZsSIETg7OzNy5Eggbbnh4MGDqV69Og0bNiQgICDDmK9cuUK/fv1wcnLCxcWFESNGKMXis1OpUiXKlCnD7t27lWNHjhxBo9HQuHFjnfarVq2ic+fOuLi4UK9ePQYNGsStW7d02m3evJkmTZpQvXp1+vTpw8WLF3FwcNDaMW/nzp306NGD2rVrU6tWLTw9PQkNDc1R3NHR0YwZM4YaNWrQpEkTndcmJ699ej/ffPMNrq6uVKlShU6dOvH7779rtTl79iw9e/bExcWFGjVq0K5dO3bs2JFlfHv37gWgUaNG2V6LsbEx+vr6pKSk6JwLDg7G1taWiRMnkpKSovU+pXNxccHS0pKgoKBsxxJCCCGEEEIIIfLqrRTmSU1N5cKFC0odmZIlS1K5cmX09T+MnTfGjx/P06dPmTx5MgULFuTRo0eEhYXl6LkZfcF/tZ7Rl19+ybFjxxg7diwlS5Zk06ZNBAcHv1GcDx8+xNnZmR49emBoaMi5c+eYPHkyGo2GTz75RKvt119/Tfv27fH390elSsshenl58eTJE7755hvMzMwICAjg0aNHWvE+evSIzz//nFKlSjF37lwSExNZsGABn3/+OYGBgZiammYbp4eHB8HBwfTp0wdIS3g0b96c/Pnz67R9/Pgxn3/+OcWLFyc2NpbNmzfTvXt39u7di6WlJZA2g27q1Kl8+umntGzZkkuXLjFq1Cidvu7fv0/Hjh0pXbo0SUlJ7Nq1i549exIYGIidnV2WMU+dOpUOHTrg7+/PgQMHmDdvHg4ODkqyJyevfVJSEn369CEiIoJRo0ZRpEgRAgMDGTRokJJgjI2NZdCgQbi4uDB//nwMDQ25fv060dHRWcZ34sQJHB0dM3wNNRqNch9GRkaybNky9PX1dZJ9jx8/5s8//8TLywsHBwcqVKhAcHAwnp6eWu1UKhXVq1fnxIkT9OrVK8u4hBBCCCGEEEKIvMpz8mn79u3Mnz+fiIgIpRC5np4e1tbWeHt706VLlzwHmVfnz59n9OjRtGnTRjmWkzpUcXFxVK5cWef4xo0bqVmzJtevX2ffvn18++23ynW6urrSokWLN4rTw8ND+V2j0VCrVi2ePHnCli1bdJJP7u7ujBs3Tnl89OhRwsLCWLNmDfXq1QOgTp06uLm5KUkeSCuGnpKSwqpVq5TjlSpVwsPDgx07dugkKjLStm1b/Pz8uHv3LgULFuTw4cP4+/uTkJCg0/bLL79Ufk9NTaVBgwbUq1ePvXv30q1bNyCt1lHdunX59ttvAWjYsCEpKSksWrRIq69hw4Ypv6vVaho0aEBoaCg7duxg9OjRWcbcokULhg8fDkC9evU4fPgwe/fuVZJPOXntg4KCuHz5Mr/88gvlypVTYr1z5w5Lly5l0aJF3Lp1i5iYGEaPHq0UnU9/P7Jy/vx5GjRokOG5TZs2sWnTJuWxkZERs2fPxtbWVqtdcHAwGo2Gtm3bAtCuXTt8fX25e/euTm2oihUrsnHjxmzjEkIIIYQQQggh8ipPyafNmzfzzTffUKlSJYYNG0aZMmUAuHXrFlu2bOHrr78mOTlZpzj1P83R0ZFVq1ahr69PgwYNdL60Z8bIyIgNGzboHLe3twfSEgYajYbmzZsr5/T19WnWrBlr1qzJdZxRUVH4+flx8OBBnjx5oizfezV5lO71WS+hoaGYmZlpJTrMzMyoX78+Fy9eVI6dOXOGOnXqaPVZtmxZKlasyNmzZ3OUfCpTpgyVK1cmODiYEiVKUKBAAerVq8dvv/2m0/avv/5i0aJFXLx4kRcvXijHb9++DaQlpC5dusT48eO1nte0aVOd5NONGzeYP38+ISEhRERE6PSVFVdXV+V3PT09ypYty+PHj5VjOXntjx8/ToUKFShTpozWjLj69esrta5Kly6Nqakp33zzDZ6entStWzdHdZXCw8Mzbde6dWv69eunxBkcHMz48eMxNzfXSlgFBwdTuXJl5f708PBg/vz5BAUFMXToUK0+rayseP78OcnJyRgYGGQbnxBCCCGEEEII8abylHwKCAigZs2arF69WusLbN26denSpQu9evXihx9+eO/JpwULFrBgwQIWLlzItGnTsLOzY/To0dnOUFKpVFStWjXT8+Hh4RgYGGBhYaF1/PUCzzk1ceJEQkJCGDp0KOXKlcPU1JQff/yRX3/9Vaft62M8ffo0w+TF6+2io6OpVKlShu2ioqJyHGvbtm35+eefKV68OK1bt85wieXDhw/p27cvVapUYdq0adjY2GBgYMCgQYNITEwE0paRpaSk6MT+etyxsbH07dsXa2trJk6cSPHixcmfPz+TJ09W+sqKmZmZ1mMDAwNiYmKUxzl57Z8/f87FixcznA2Xfv0WFhasXr2axYsXM378eFJTU6lZsyaTJ09WZkJlJCkpSSnk/zpra2ut+7BBgwZcvHgRX19fJfl048YNLl26xPDhw5UlfmZmZlSpUoXg4GCd5FP6WImJiZJ8EkIIIYQQQgjxTuUp+fTs2TP69u2b4ZdXAwMDPDw8mDt3bl6G0JI/f36Sk5O1jiUnJxMXF5fl82xsbPDx8UGtVhMWFsayZcvw9vZmz549lCpV6o3jKVy4MMnJyURFRWkloF6dlZMed3qsr3q1DlBiYiKHDx9m4sSJWrOPXl1u9So9PT2txzY2NjoFzTOKxcLCQudYerv0mWs50aZNG+bMmcPNmzczXb517Ngx4uLiWLJkCebm5kBaDa1Xk1zW1tbky5dPJ/bXY/zrr794/PgxK1asoGLFisrxmJgYihYtmuO4M5LT197CwgIHBwdmzpyZZX/VqlXjhx9+ICEhgdOnTzN79myGDh3KgQMHMn2OhYVFtnWh0unp6WFvb8+hQ4eUY+kzr/z8/LSK76e7cOGCVtIsOjoaAwODHNX4EkIIIYQQQggh8iJXu929rlKlShnuXJbu1q1bWomCvCpSpAjJycncvXtXOXbq1Cmd3eUyo1KpqFatGqNGjSIlJYU7d+7kKZ702Sj79+9XjqWmpuokGYoUKQLAzZs3lWM3btzg0aNHyuOkpCTUarVWIi82NlYrwZBdLDExMZw8eVI5FhMTw4kTJ7Taubi4cOrUKa0E0M2bN7ly5QouLi45GgugaNGi9OrVi7Zt2+Ls7Jxhm4SEBPT09LQKnv/6669aS9b09fWpVKkSBw8e1Hru669hej2pV1+fc+fO8eDBgxzHnJmcvvb169fn3r172NjYULVqVZ2f1xkZGeHm5kaPHj24f/9+ljO07OzslIL92dFoNNy4cQMrKyvl2K5du3BycmLdunVaPytXrsTAwEBnZ7sHDx5kW6RdCCGEEEIIIYR4G/I08+nrr79m0KBBlCpVim7dumFkZASkJQo2b97Mnj17+P7773PVZ2pqKnv27NE5Xq1aNRo1aoSJiQmTJ09mwIABPH78mHXr1mW4Q1i6mJgY+vXrR4cOHbCzsyM5OZn169djbm6Oo6NjlrGo1Wr++usvneMFCxakVKlSlCtXjubNm/Pdd9+RmJio7Hb3+gyn6tWrU6xYMb777jvGjBlDbGws33//vVY9ITMzM6pWrUpAQIAyG+j777/H1NQ0wxlNr2vUqBGVK1dm3LhxjB07FjMzM+X5r+rduzfbt2+nb9++DBkyhMTERBYuXEixYsV0ippnZ9KkSVmer1u3rtKue/fuXLt2jdWrVyuzoNINGTIELy8vJk+eTKtWrbh48SI7d+4EUHbyc3JywsTEhGnTpjFw4ECePHmCn5+fktjLi5y+9h07dmTz5s188cUX9O3blzJlyhATE8PFixdJTk5mzJgxHD58mG3bttGsWTOKFy/Os2fP2LBhA87Ozlnep87Ozhkur4S0GYbp92F6zaerV6/i7e0NQEhICPfu3WPIkCHUqVNH5/mNGzdm165djB8/Xnk9w8LCcpVszIy1Vc7qpwkhhBD/BPl7SQghhPgw5Sn5NHHiRFQqFbNmzWLu3LnY2NgAafWHUlNTsbGxYcKECVrP0dPTU5YIZSQxMZGRI0fqHJ8zZw4dOnRg8eLFyjKmSpUqMWfOnCyLZOfPn58KFSqwfv16Hj16hJGREVWqVGHlypXZFoJOSEhQdmR7VZcuXZSlV9999x3Tp09n3rx5GBoa8sknn1C7dm3mzJmjtDcwMGDJkiV88803jBw5ktKlS/Pll18ya9YsrX59fX2ZMmUKEydOxNLSEk9PT+Li4li1alWWcULa67p06VKmTp3KlClTMDc3x9PTk2fPnmnNKipWrBjr169nzpw5jB07FpVKRYMGDZg4ceJbX4Ll4OCAj48PS5YsYdCgQVSqVIlFixYxatQorXZNmzblm2++YcWKFQQGBlK9enW++eYb+vbtq8RUqFAhFi1axJw5c/Dy8qJMmTJMmzaNH3744a3EmpPX3tDQkHXr1uHn58fy5csJDw/H0tISR0dHPvvsMyCt4LhKpWLhwoVERERgaWmJq6trtrvxtWzZkhUrVnD79m2d5Y979+5l7969ABQoUABbW1tmzpxJ586dgbRC48bGxrRs2TLDvjt27Mj+/fs5ffo09erVIyIiggsXLmQbU054NP8qz30IIYQQb5NanYpKpVuLUgghhBDvj55Go9G86ZNzsjNaRtavX/+mQ4qPxNatW5k8eTIHDx6kZMmS7zucf0SnTp1wd3dn2LBh73ScjRs3smbNGvbt26dTOyynzp8/T3JyMo6OjsqMRyEykpCQwMOHDylevLjcKyJLcq+InIqPj+fWrVvY2dlhbGz8vsMRH7C4uDguXbpEpUqVMDExed/hiA+Y3CsiN+R+0Xb+/HmALDdrg1zMfEpMTNRZNiRJJPE2vHjxgiVLllC3bl0KFCjA+fPnWb58OU2bNs1R4ungwYNs3LiRsLAw4uLisLGxwdXVlT59+vyr6hp5enoyadIkmjRpohQHd3d316prZWlpiYODAyNGjKBmzZoZ9jNkyBAOHTrE7Nmz6dixo9a5e/fuMWPGDMaPH//Giad0BgYG8gVRZMvIyAh7e/v3HYb4F/hY7xWZpZN7Go2G+Ph48vD/p0IIIYT4h+U4+bRy5UpUKhWDBw9+l/GIj1C+fPm4d+8ewcHBxMTEYGVlRYcOHRg7dmy2z503bx4BAQG0bNmSGTNmYG1tzd27d/n555/x9vZWakf9G1y4cAF7e3ud5Y8tW7akb9++QNougGvXrqV///4EBgZSunRprbYvXrzg2LFjQNpyvNeTTwYGBlSsWJHLly+/lZh37Z9J5PO8Fe4XQoiPlbWVrSxfFkIIIcRHIcfJpxo1ajBq1CjOnTvH3LlzsbCw4M8//8zRc2vVqvXGAYr/PlNTU1asWJHr5x05coSAgAC8vLy06oTVqlWLzp0789tvv73NMN+ply9f8vPPPzNnzhxsbbWLpRYqVAgnJyflcc2aNalTpw7Hjh2jZ8+eWm337t1LcnIy9evX5+TJk0RERFCwYEHlfNGiRfnqq6/o06cPEydOzLbuWXYin9/h6bNreepDCCGEEEIIIcR/W46TT/Xq1WPXrl1Mnz6dDh06cPjwYTw9PbNcuqPRaNDT0+PSpUtvJVghXrVq1SoKFSqEl5dXhuebNGmi/J6YmMj8+fPZtWsXUVFR2NvbM2zYMJo3b671nJCQEPz8/Pjrr7/QaDSUK1eOUaNG0aBBAyBtZtHs2bM5dOgQ8fHxODo6MmbMGK0E69mzZ5k/fz6XL19GrVZTsmRJ+vbtm+VugukFxRs1apTtdRsbG6Ovr09KSorOueDgYGxtbZk4cSLt27dn9+7dOrXZXFxcsLS0JCgoiF69emU7nhBCCCGEEEIIkRe52u2uUKFCLF68mAMHDgCwbt26dxKUENlJSUnh3LlztGjRAgMDg2zbjx07lmPHjjFq1Cjs7e355ZdfGD58OP7+/jRt2hRISxr16tULJycnvv32W8zNzQkLC+Phw4cApKamMmDAAO7du8fYsWMpVKgQ69evp0+fPmzevJkqVaoQGxvLoEGDcHFxYf78+RgaGnL9+nWio6OzjO/EiRM4Ojrq1FWDtCRueqIpMjKSZcuWoa+vT+PGjbXaPX78mD///BMvLy8cHByoUKECwcHBOsknlUpF9erVOXHihCSfhBBCCCGEEEK8c7lKPqVr1qwZALVr136rwQiRUy9evCApKYnixYtn2/by5cvs27ePadOm0b17dyBthtGDBw+0kk9z587F1taWtWvXoq+fVvzV1dVV6efw4cOEhobyww8/0LBhQ+V8ixYtWLFiBX5+fty6dYuYmBhGjx6Ng4MDkDZrMDvnz59XZle9btOmTWzatEl5bGRkxOzZs3WW5wUHB6PRaGjbti0A7dq1w9fXl7t37+rUhqpYsSIbN27MNi4hhBBCCCGEECKvVHl5ckpKCrGxsZmej42NzXBpkBBvS052bDt79iwArVq10jreunVrLl68SFxcHPHx8fz999907NhRSTy97syZM5iamiqJJ0gr4N28eXNljNKlS2Nqaso333zD7t27iYyMzNF1hIeHZ1p/qXXr1mzbto1t27axcuVKWrduzfjx4zl+/LhWu+DgYCpXrqzsFuXh4YGenh5BQUE6fVpZWfH8+XOSk5NzFJ8QQgghhBBCCPGm8pR8+vbbb5WZJBnp0aMHs2bNyssQQmTI0tKS/PnzK0vishIVFYWBgQGWlpZaxwsVKoRGoyEmJobo6GjUajU2NjaZ9hMdHa1VvPvVfqKiogCwsLBg9erVFChQgPHjx9OgQQM8PT25cuVKljEmJSVhaGiY4Tlra2uqVq1K1apVcXV1xcfHBzs7O3x9fZU2N27c4NKlS7i7uxMdHU10dDRmZmZUqVKF4OBgnT7Tx0pMTMwyLiGEEEIIIYQQIq/ylHw6duwYLVu2zPR8y5YtOXr0aF6GECJD+fLlw9nZmVOnTmU7u87CwoLk5GQlQZTu2bNn6OnpYWZmhpmZGSqViqdPn2bZT0REhM7xZ8+eYWFhoTyuVq0aP/zwA2fOnGH58uVEREQwdOjQbGPMri5UOj09Pezt7bl+/bpyLDAwEAA/Pz9q1aql/Jw/f56bN29y4cIFrT6io6MxMDDA1NQ0R2MKIYQQQgghhBBvKk/Jp6dPn1KkSJFMz9vY2PDkyZO8DCFEpvr06UN4eDjLly/P8PyRI0eAtN3dAPbs2aN1fs+ePTg6OmJiYoKJiQlOTk788ssvpKamZtifi4sLsbGx/P7778qxlJQUDhw4oIzxKiMjI9zc3OjRowf379/PcpaRnZ0d9+/fz/qC/59Go+HGjRtYWVkpx3bt2oWTkxPr1q3T+lm5ciUGBgY6S+8ePHiAnZ1djsYTQgghhBBCCCHy4o0KjqeztLTk1q1bmZ6/ceOGzKwQ74ybmxv9+/fHz8+P69ev4+HhgZWVFffv3+fnn38mJiYGNzc3KlasSIsWLZg1axYJCQnY2dkRGBhISEgIS5cuVfobM2YMvXv3pnfv3nz22WdYWFhw4cIFrKys6NKlC40bN6ZatWqMGzeOMWPGKLvdPX36lMWLFwNpRcm3bdtGs2bNKF68OM+ePWPDhg04OztnuJNdOmdnZ3799dcMzz179oy//voLSFtCGBwczNWrV/H29gYgJCSEe/fuMWTIEOrUqaPz/MaNG7Nr1y7Gjx+PSpWWbw4LC8swYSaEEEIIIYQQQrxteUo+NWzYkM2bN9OuXTscHR21zl24cIGffvpJp8izEG/TuHHjqFGjBhs3buTLL78kPj4eGxsbXF1d6devn9Ju7ty5zJ8/n4CAAF68eIG9vT2LFy/G3d1daVOzZk3WrVvHwoULmTRpEiqVivLlyzNq1CgA9PX1+f7775kzZw5z584lLi6OypUrs2rVKqpUqQKkFRxXqVQsXLiQiIgILC0tcXV1ZfTo0VleR8uWLVmxYgW3b9+mTJkyWuf27t3L3r17AShQoAC2trbMnDmTzp07A2mFxo2NjTNdAtuxY0f279/P6dOnqVevHhEREVy4cCHbmHLC2so2+0ZCCCEyJJ+hQgghhPhY6Gk0Gs2bPvnJkyd06dKFyMhI3N3dKVeuHADXrl3jt99+w9ramq1bt1K0aNG3FrAQ/1WdOnXC3d2dYcOGvdNxNm7cyJo1a9i3b1+OdgvMyPnz5wGoWrXq2wxNCCE+Omp1KipVxrusiozFxcVx6dIlKlWqhImJyfsOR3zA5F4ROSX3isgNuV+05fS7YZ5qPhUpUoSff/6Ztm3bcvLkSZYtW8ayZcs4deoU7dq1Y9u2bZJ4EiKHvLy82Lx5M0lJSe9sDLVazbp16xg6dOgbJ57SJScnk5CQ8JYiE/9VCQkJ3Lx5U+4Vka2P9V6RxJMQQgghPgZ5WnYHaUXFZ8+ejUajITIyEkjbGj6vX2zFv5+fnx9LlixRHhsaGlKyZEk6depEv379lPpD79P9+/dp2rQpixYteu9LRJ88eYK+vj6PHj3C1taW06dP88UXXyjn9fX1KVKkCI0aNWLUqFFaBcfTRUZG0rBhQwwNDTl58iRGRkZa5319fVGr1bRv3z7P8RoYGOj0L8TrjIyMsLe3f99hiH+B/9K9IrOZhBBCCCG05Tn5lE5PT4+CBQu+re7Ef4SRkRFr164F0v5X+/Tp0/j6+qLRaBg4cOB7ji4tebplyxadOkv/tPj4eJYtW8bXX3+Nra12DRAfHx/s7e1JSUnh+vXrLFiwgPv377Ny5Uqdfnbv3k1KSgopKSkcOnSINm3aaJ0fNGgQmzdv5o8//qBu3bp5jnvX/plEPr+T536EEOK/wtrKFo/mX73vMIQQQgghPii5Sj4tWbIEPT09hgwZgkql0prVkhk9PT2GDh36xgGKfzeVSoWTk5PyuG7duly9epV9+/blOfmUmpqKWq3GwMBA67hGoyE5ORlDQ8Ns+zA0NNSKLyNJSUnky5fvnc7U2r17N8nJyTRt2lTnXPny5ZX1szVr1iQxMREfHx9evnxJgQIFtNoGBwdTtmxZYmNjCQwM1Ek+mZub06JFC9atW/dWkk+Rz+/w9Nm1PPcjhBBCCCGEEOK/642STwMGDMDQ0FCST+KNFChQgJSUFK1j8+bN48iRI9y/fx9TU1Nq1arFxIkTsbGxUdp4enpiYmJCq1atWL58Offu3WPLli1s3LiRsLAwxo0bh6+vLzdv3mTevHm0atWKkJAQFixYQGhoKPr6+jRu3Jgvv/xSmaWX0bI7d3d3GjduTLFixdi0aROPHj3ixIkTPH/+nCVLlnDu3DlevHhBiRIl6NKlC71799ZKTH3//fds3bqVx48fU6BAASpWrMiMGTMoVapUpq/Jzp07adq0KfnyZf9HskCBAmg0GtRqtdbxe/fuERISwqhRo4iOjmb9+vW8ePECS0tLrXatWrXCy8uLyMhIrK2tsx1PCCGEEEIIIYTIi1wlny5fvpzlYyEykp5oSl92t2/fPgYNGqTVJiIigkGDBmFjY0NkZCSrV6/G09OTXbt2aSVkwsLCePDgASNHjsTc3JxixYoB8PTpU7799luGDBlCsWLFKF68OCEhIXh6euLm5saCBQuIj49n4cKFeHl5sWXLlixj3rdvH7a2tnz11VeoVCpMTEy4cuUKdnZ2tGvXjgIFCnDp0iX8/PyIi4tTdqjbuXMnixYtYsSIETg5ORETE8PZs2d5+fJlpmMlJCQQEhJChw4dMjyvVqtJSUkhNTWVa9eusWrVKurXr4+ZmZlWu+DgYADatm1LdHQ0q1atYs+ePXTv3l2rXY0aNUhNTeWPP/5473WuhBBCCCGEEEL89721mk9CZCQuLo7KlStrHWvTpo3OkjsfHx/l99TUVGrUqEGjRo04deoUrq6uyrmoqCi2bdumJJ1ePR4QEED16tWVY1999RVVqlRRZuwBVKhQgbZt23LkyBHc3NwyjTs5OZmAgACtrTPr1atHvXr1gLSlfS4uLiQkJLBhwwYl+RQaGoqDg4NWcq1Zs2ZZvkaXLl0iOTkZBweHDM937dpV67GDgwOzZ8/Wabdr1y6cnJyUGVb29vYEBQXpJJ/Mzc0pXrw4f//9tySfhBBCCCGEEEK8c+9/uzHxn2ZkZMS2bdvYtm0bmzZt4quvvuLYsWNMnjxZq92RI0fo3r07Li4uODo60qhRIwBu376t1a5ChQo6iScAS0tLrcRTfHw8586do1WrVqSmpipFuMuUKUOxYsU4f/58lnHXqVNHK/EEkJiYyOLFi2nevDlVq1alcuXKLFiwgPDwcGVmk6OjIxcvXsTHx4czZ86QnJyc7WsUHh4OkOkSuNmzZ7Nt2za2bt3K/PnzSU5Opn///lqzqS5fvsy1a9do27atcszDw4OzZ8/y8OFDnT4tLS2VcYUQQgghhBBCiHcpTzOfNBoNW7ZsYdu2bdy7d4/o6GidNnp6ely8eDEvw4h/MZVKpRTLBnBxcSE1NZVZs2bRp08fKlSoQGhoKF5eXjRt2pQBAwZQsGBB9PT06Nq1K4mJiVr9FSpUKMNxXj8eHR1NamoqPj4+WrOq0j169CjLuDPauXHu3Lls3bqVoUOHUqVKFczMzDh48CDLli0jMTGRAgUK0KlTJ16+fMlPP/3EmjVrMDMzo2PHjowdOxYjI6MMx0q/xswKpJctW1Z5DatVq0aZMmXo1KkTO3bs4PPPPwcgMDAQlUqFq6ur8ufQzc0NPz8/goODdWaaGRoa6ry2QgghhBBCCCHEu5Cn5NOcOXNYs2YNlSpVon379lhYWLytuMR/mL29PQDXr1+nQoUKHDhwAFNTUxYuXKgU7n7w4EGGz01fPpfdcTMzM/T09Bg0aFCGy96srKyyjDGjcfbs2UO3bt20EjlHjhzRaqNSqejVqxe9evXiyZMn7Nq1C19fX6ysrDItvJ/+5yY6OprChQtnGRekJaMArl1L22VOo9Gwe/du1Gp1hsvogoKCdJJPMTExlC9fPtuxhBBCCCGEEEKIvMpT8mnnzp20aNGCRYsWva14xEcgPWmSngBKSEjAwMBAK+ETFBSUpzFMTExwcnLi5s2bWjOv8iIxMREDAwPlcWpqKrt27cq0fZEiRejbty/BwcHcvHkz03Z2dnZA2s576YmlrFy9ehX43+t35swZHj16xPDhw6lVq5ZW22PHjhEQEMCVK1eUmlJqtZqHDx/SuXPnbMcSQgghhBBCCCHyKk/Jp4SEBOrXr/+2YhH/QWq1mr/++gtIK+J94cIFli1bRrly5ahZsyYADRo0YO3atcyYMYPmzZsTEhLCL7/8kuexx48fT69evRg1ahQeHh6Ym5vz+PFjTpw4QadOnahTp06u+qtfvz5bt26lXLlyWFlZsWnTJpKSkrTaTJkyBXNzc5ycnDA3N+fcuXNcvnyZHj16ZNpvqVKlKFy4MBcuXMiwCPq1a9dITU1FrVZz7949li5dirGxMR07dgTSEnUmJib06dOHAgUKaD23fPnyrFmzhuDgYCX5dOvWLeLi4pTXPy+srWzz3IcQQvyXyOeiEEIIIYSuPCWf6tWrx/nz5+nWrdvbikf8xyQkJCj3R758+ShatCjt27dn2LBhyiwiNzc3xo4dy4YNG9i+fTvOzs6sWLGCli1b5mlsZ2dnNm3ahJ+fH5MmTSI5OZmiRYtSt25dbG1z/+Xg66+/ZurUqcyYMQNjY2M++eQTmjdvrlU8vUaNGvz0009s3bqV+Ph4SpUqxaRJk/j000+z7LtVq1YcPXoULy8vnXOTJk0C0pYCFipUiKpVq7Jo0SLKlClDcnIye/fupVmzZjqJJ0grYu7m5kZwcDCjR49GT0+Po0ePUqJEibcyI8yj+Vd57kMIIf5r1OpUVCr99x2GEEIIIcQHQ0+j0Wje9MlPnjyhf//+eHh40K1bt2zr6AghMnb58mU++eQTDhw4QIkSJd7pWJ07d6ZJkyYMGzbsjfs4f/48SUlJODo6Ymxs/BajE/818fHx3Lp1Czs7O7lXRJbkXhE5FRcXx6VLl6hUqZLOzrRCvEruFZFTcq+I3JD7RVv6TvLZTW7I08ynVq1aodFoWLRoEYsWLSJ//vxKweh0enp6nD17Ni/DCPGfV7FiRdzd3Vm3bp0y0+ld+PPPP7l37x5ffPHFOxtDCCGEEEIIIYR4lSr7Jplr2bIlrVu3pmPHjnTs2JHWrVvTsmVLrZ8WLVq8rVg/CH5+fjg4OCg/derUoUePHjq7ngE4ODiwcuXKtx6Du7s706dPz7ZdaGgodevWxdPTk7t379K6dWseP3781uNJFx0djYODA9u3b39nY6RLfx969uypc27mzJm4u7u/8xjetnHjxnHhwgVGjBihHNu+fbvW/ValShWaNWuGr68v8fHxGfZz8eJFHBwcaN68uc652NhYqlSpwpw5c/Icr6GhocxOENkyNjaWGXIiR/6Je0WtTn1nfQshhBBCiMzlaebTrFmz3lYc/ypGRkasXbsWgKdPn7J8+XIGDx7Mxo0bcXZ2Vtpt2bKF4sWLv68w2bFjB+3bt8fIyIiOHTvi6upK0aJF31s878KZM2c4ffp0rouHf4iMjY05f/48Gzdu1Dn3ww8/YGZmRnJyMufPn2fhwoVERUVlmIRM3ynw7t27/P3331SvXl0516RJE+zt7fHw8KB///6UKVMmTzHv2j+TyOd38tSHEEL8E6ytbKVOnRBCCCHeqo0bNzJ9+nSqVavG1q1b33c4H7Q8JZ8+ViqVCicnJ+Vx9erVcXNzY+fOnVrJp1fbvA9Tp05Vfh89evR7jOTdMDExoVy5cixduvQ/kXzasmULtra2VKlSRedc5cqVsba2BqBWrVo8fvyYoKAgneSTWq1m9+7duLi4EBYWRlBQkFbyCcDW1hZnZ2c2btzIV1/l7YtY5PM7PH12LU99CCGEEEIIIcS/UVBQECVKlCA0NJQ7d+680cZWH4s8LbvbuXNnjn7+64oUKYK1tTUPHz7UOv76srvDhw/Tp08f6tWrh7OzM59++ilHjx7V6e/JkyeMHz+e+vXrU61aNVq1aqXMtHrVxo0badKkCS4uLnh5eREZGamci4uLY/r06bRs2ZLq1avj7u7OlClTiImJ0epDrVazdOlS3N3dqVKlCq1atWLz5s05uu6ffvoJd3d3qlevTq9evbhzR3cGzM6dO+nRowe1a9emVq1aeHp6EhoaqtXm8ePHjBw5kvr161O1alXc3d357rvvchSDl5cXp06d4ty5c1m2i46O5ptvvsHV1ZUqVarQqVMnfv/9d+W8n58ftWvXJjk5Wet5V69excHBgWPHjinHDh8+zKeffkq1atWoW7cuU6dOJS4uTjmfnJzM7Nmzady4MVWqVMHV1ZXBgwfrvPav27lzZ453+CtQoAApKSk6x//8808eP35M9+7dady4Mbt37yY1VXeZSatWrQgKCsqwDyGEEEIIIYQQWXvw4AEhISFMmjQJa2trZQWKyFieZj5NnDgx03N6enrK7x07dszLMB+8ly9fEhUVRcmSJbNsd//+fZo0aULfvn1RqVQcPXqUgQMHsnbtWmXmzvPnz+nWrRsA3t7elCxZkjt37nD37l2tvg4dOsSdO3eYMmUKz58/x8fHhxkzZrBgwQIAEhISSE1NxdvbG2trax49esTy5cvx8vJi/fr1Sj9z5sxh3bp1DBkyhBo1anD48GGmTp1KSkoKn3/+eabX8ttvv/H111/TqVMn2rRpw4ULFxg5cmSG19yxY0dKly5NUlISu3btomfPngQGBmJnZwfA+PHjefr0KZMnT6ZgwYI8evSIsLCwHLzyacvIHB0d8ff3z7S+VlJSEn369CEiIoJRo0ZRpEgRAgMDGTRokFJTycPDgyVLlvD777/TpEkT5bm7du2iYMGC1K9fH4A9e/bg7e1Np06dGD58OOHh4fj6+hIdHa289itWrGDz5s2MHTuW8uXL8/z5c44fP05SUlKm13Hnzh0ePHigNXPuVWq1mpSUFGXZ3datWzNMVAUFBWFsbEyzZs0wMjJi7969nDhxgoYNG2q1c3Z25vnz51y6dCnbXQmEEEIIIYQQQmjbvXs3FhYWuLm50bJlS4KCgrR2FL9//z5NmzZl/PjxmJqaEhAQwOPHj3FwcGDq1KlUq1ZNq7+TJ0/i5+fHxYsXyZcvH7Vq1WLs2LGULVv2n760dyJPyaeDBw/qHFOr1dy/f58ff/yRhw8fMnv27LwM8cFKnzHy9OlT5s6dS4ECBbLdQezVZI5araZOnTpcv36dn376SUk+rVmzhoiICH799VclmVWvXj2dvjQaDcuWLcPQ0BBIy7quWLECtVqNSqXC2tqaadOmacVbsmRJPvvsM2Ur68jISDZs2EC/fv0YPnw4AK6urjx//hx/f3969OiBvr5+hteybNkyatasiY+PDwANGzYkMTGRpUuXarV79Q+fWq2mQYMGhIaGsmPHDmUp4Pnz5xk9ejRt2rRR2uYmYTlkyBCGDx9OaGiozh9gSEvIXL58mV9++YVy5cop8d65c4elS5eyaNEi7O3tcXR0JDg4WCf51KpVK/T19dFoNMyZM4c2bdowc+ZMpU3hwoUZOHAgXl5elC9fnvPnz+Pq6qpVDD27GU3p21M6ODhkeL5BgwZaj2vXrq2zK15SUhL79u3D3d0dExMTGjdujJmZGUFBQTrJp3LlyqGvr09oaKgkn4QQQgghhBAil3799VeaN2+OoaEhbdu25ccff8zwO2lwcDAvX76kW7du6Onp8cMPPzB8+HAOHDiAgYEBACdOnGDAgAGULFmSYcOGkZCQwIYNG+jRowfbt2/PdqLLv0Gekk8lSpTI8HipUqWoV68eAwcOZMOGDVq1h/4L4uLiqFy5svJYX1+fpUuXYm9vn+XzHj9+zIIFCzhx4gTh4eFoNBoArb5OnjxJ3bp1s725atWqpSSeAMqWLUtycjIREREULlwYSFvGtWbNGu7cuaO1LOz27dvY2dkRGhpKcnIyrVq10uq7devWBAcHc/v27QyzrKmpqVy4cIFx48ZpHW/ZsqVO8unGjRvMnz+fkJAQIiIitGJI5+joyKpVq9DX16dBgwa5XifbvHlzKlSogL+/PytWrNA5f/z4cSpUqECZMmW0lpnVr1+fwMBA5bGHhwf+/v4kJCRgZGREaGgo9+7dw8PDA4Bbt27x4MEDvvzyS61+ateujUqlIiwsjPLly+Po6MjKlSvx8/PDzc2NKlWqoFJlvcI1PDwclUqFlZVVhufXrFmDqakpqampXL9+ncWLFzNs2DBWrlyp9H306FGioqJo27YtkLYbXfPmzdmzZ49yTeny5cuHmZkZT58+ze7lFUIIIYQQQgjxips3b3Lr1i2mTJkCgIuLC0WLFiUoKEgn+fTw4UP27duHhYUFAHZ2dnh5eWmtupkzZw4WFhZs2bIFS0tLAJo1a8Ynn3yCn5/ff2JST55qPmUnvebMf42RkRHbtm1j69atzJ07l8KFCzNhwoQsv8ir1WqGDBnC2bNnGTFiBOvWrWPbtm00atRIaznWixcvsLGxyTYGc3NzrcfpiajExEQA9u/fz4QJE6hWrRoLFy7kp59+wt/fX6tNVFQUAIUKFdLqK/3xixcvMhw7MjKSlJQUpQD2689LFxsbS9++fXn48CETJ05k48aNbNu2jYoVKyoxACxYsIC6deuycOFCWrRoQatWrdi3b1+2r0E6PT09Bg8ezOHDh7lw4YLO+efPn3Px4kUqV66s9bNs2TIeP36stPPw8CA+Pp5Dhw4BaRnqEiVKKEvhnj9/DsDQoUO1+qlevTqpqak8evQISJuJNWDAAHbs2MGnn35KgwYNWLJkiZJszEhiYiL58uXTWq76KgcHB6pWrYqTkxNdunRh8uTJnDhxgiNHjihtgoKCMDMzw8nJiejoaKKjo2nSpAlxcXHKNb3K0NBQ630QQgghhBBCCJG948ePU7BgQWUFk56eHm3atMmw5m6bNm2UxBNAzZo1Abh37x6Qtprq0qVLfPLJJ0riCaBixYrUr19f6zvfv9k73e3u3r17Wda5+bdSqVTKUqVq1aphZ2dH165d8ff311rq9qo7d+5w8eJF/P39adasmXI8ISFBq52lpeVbmY2yZ88eKlWqpLUb2h9//KEzFkBERARFihRRjj979kzr/Ousra3Jly+fVoHzV5+X7q+//uLx48esWLGCihUrKsdjYmIoWrSo8tjGxgYfHx/UajVhYWEsW7YMb29v9uzZQ6lSpXJ0va1bt8bPz4+lS5dSvHhxrXMWFhY4ODhoLZXLSLFixXB2dmb37t20atWKX3/9lQ4dOigJofTXY8qUKRku70tPGhoaGjJ8+HCGDx/OnTt3+Pnnn/Hz86NkyZKZLie0sLAgKSmJxMRE8ufPn+31ps9Iu3btGk2aNCE2NpbDhw+TkJCQ4TLNwMBArWWNkPY+ZPYeCyGEEEIIIYTQlZqaysmTJ6lTpw73799XjlerVo1Vq1Zx8uRJXF1dlePFihXTen56Iio6OhpA2bgsvSbyq8qWLcvvv/9OXFwcJiYmb/1a/kl5Sj79+eefGR6Pjo7mzJkzrF+/nqZNm+ZliH+FqlWr4uHhwfbt2xk2bJiy7O1V6TNM0td0wv+q45cpU0Y5Vq9ePVatWsXDhw91kii5kZCQoDUWoFN9v2rVqhgYGLBnzx4cHR2V47/++isFCxbUiutV+vr6ODo6sn//fnr37q0c37t3r04MoH3N586d48GDB5QvX16nX5VKRbVq1Rg1apRSUD2nySeVSsXgwYOZOHEitWvX1jqXni22sbHRSrJlxMPDg1mzZvHbb7/x9OlTZQkbgL29PUWLFuXevXta9ZyyYmtry+jRo9myZQs3b97MtF36B839+/dzVFDu6tWrAMoyvQMHDpCQkMC0adN0PrR27NhBcHAwL168UJJNkZGRxMfHZ/gBJ4QQQgghhBAiY3/++ScvXrxg7969Ot+BIe1796vJp8zqKGe1Mua/KE/JJ09PzwyXCWk0GvT19WnVqhWTJ0/OyxD/Gl5eXuzevZu1a9cyduxYnfPpiQtfX1/UajVxcXEsXrxYZ4ld7969+eWXX/j8888ZMmQIpUqV4t69e9y+fVunxlJW6tevz/Tp0/H396dGjRocOXKEkydParWxtrbm888/Z+XKlRgaGuLk5MSRI0cIDg7m66+/zvQPCcDgwYPx8vJi0qRJym53v/zyi1YbJycnTExMmDZtGgMHDuTJkyf4+flpJYBiYmLo168fHTp0wM7OjuTkZNavX4+5ublWQiwn2rVrh7+/P6dPn9aqR9axY0c2b97MF198Qd++fSlTpgwxMTFcvHiR5ORkxowZo7Rt3bo13333Hd988w3lypXTmrGlp6fHxIkTGTt2LHFxcTRu3BhjY2MePnzIkSNH8Pb2VtbvVq5cGUdHR4yNjfntt9+Iioqibt26mcZerVo18uXLR1hYWIbJpwsXLmBmZkZKSgo3b95k8eLFFCpUiObNmwNpH3AlSpRQiti9ysLCgh07drBnzx66d+8O/K/AuYuLS65e49dZW+WuPpcQQrwv8nklhBBCiLdh9+7dmJubM3nyZJ1VK/v372f//v2ZrojKSPqkk1u3bumcu3nzJlZWVv/6WU+Qx+TTunXrdI7p6elhbm5OiRIlMDU1zUv3/yr29va0adOGH3/8kUGDBmFmZqZ13tDQED8/P6ZPn87IkSMpVqwYQ4YM4dSpU4SFhSntrKys+PHHH/H19WXevHnEx8dTokQJPvvss1zF0717d+7fv8+GDRtYuXIlrq6u+Pr60rVrV61248ePx8zMjG3btrF8+XJKlCjBtGnTlCRFZpo2bcq0adNYvnw5u3btonr16ixcuJBPP/1UaVOoUCEWLVrEnDlz8PLyokyZMkybNo0ffvhBaZM/f34qVKjA+vXrefToEUZGRlSpUoWVK1fq1JTKjr6+PgMHDtRJeBoaGrJu3Tr8/PxYvnw54eHhWFpa4ujoqPO6WltbU7duXX7//Xd69OihM0br1q0xNzdn+fLlykyyEiVK0LBhQ6XmlbOzM7/++iurV68mNTUVOzs75s2bR/369TON3cTEhIYNG3L06FE6dOigc75///5A2gyvIkWKULduXUaOHImlpSURERGcPHmSgQMHZpgMrlixIpUqVSIoKEh5X48dO0bNmjV16nTllkfzr/L0fCGE+Cep1amoVJn/x4oQQgghRFYSEhI4dOgQtWrVonnz5jpJIRsbG4KDgzl06FCGpVoyYmNjQ6VKldi5cyeDBg1S6jtfvXqV48eP0759+7d+He+DnuZjm+slxAfq0KFDjBkzhhMnTmBsbPzOxklJSaFx48aMHTs20xpU2Tl//jxJSUnK7C4hMhMfH8+tW7ews7OTe0VkSe4VkVNxcXFcunSJSpUq/Sf+J1i8O3KviJySe0Xk1O7du/H29mb06NF4enrq3C9qtZoGDRpQvXp1Jk+eTNOmTRk/fjz9+vXTaufg4MCwYcMYPnw4ACdOnGDAgAGULl2aLl26kJCQwIYNG0hNTeXnn3/OcTma9yF9VU16XezM5Hrm0+DBg3PVXk9Pj2XLluV2GCE+Ok2aNMHOzo6tW7fyxRdfvLNxgoODKVCggFY9KyGEEEIIIYQQWQsMDCR//vyZJlpUKhWNGzcmKCgo093jM1K/fn1++OEHFi9ezOLFi8mXLx+1atVi3LhxH3TiKTdynXw6fPgw+fPnp1ChQjkqkJXZ1vHi3+3gwYNs3LiRsLAw4uLisLGxwdXVlT59+vxrilhfunSJAwcO0L9/f63/Zd++fTuTJk3i5MmTuV76lxebNm0iISFBieX06dNaSSh9fX2KFClCo0aNGDVqlFJs/FWRkZE0bNgQQ0NDTp48iZGRkdb5ZcuWsWvXLmbOnEm+fHnb7NLQ0FBmJ4hsGRsb57p+m/g4va17RZbWCSGEEOJdWb58uTJTLjM+Pj74+PgAcOXKlQzbZHS8Xr16Ge5c/l+R62+fRYoU4cmTJ1hZWdG2bVs8PDwy3N1N/HfNmzePgIAAWrZsyYwZM7C2tubu3bv8/PPPeHt7s3PnzvcdYo5cunSJJUuW0LNnT60kSuPGjdmyZYuy1vafEB8fz7Jly/j6669p2bKl1jkfHx/s7e1JSUnh+vXrLFiwgPv377Ny5Uqdfnbv3k1KSgopKSkcOnSINm3aaJ3v2bMnP/zwAykpKW8l7l37ZxL5/M5b6UsIIfLK2spWatEJIYQQQnyAcp18OnLkCH/88QfBwcEsW7aMuXPnUqtWLdq1a0fLli0/qiLjH6MjR44QEBCAl5cXI0eOVI7XqlWLzp0789tvv+Wpf41GQ3JyMoaGhjrnEhISdGbyvAvW1tb/6IwnSEsaJScn07RpU51z5cuXV6Z11qxZk8TERHx8fHj58iUFChTQahscHEzZsmWJjY0lMDBQJ/lkbm5OixYtWLduXZa77+VU5PM7PH12Lc/9CCGEEEIIIYT471K9yZNq167N9OnT+f3331m0aBGWlpbMmDGD+vXrM2zYMPbs2UNSUtLbjlV8AFatWkWhQoXw8vLK8HyTJk2U39OTJK6urlStWpUOHTqwf/9+rfYTJ06kbdu2HDlyhPbt21O1alUOHTqEn58fNWrUIDQ0lG7dulG1alU2btwIwI0bNxgyZAguLi44OTkxcOBA7t69q9Wvg4MDAQEB+Pn5Ub9+ferUqcOkSZOIi4sD/re0DtKmNzo4OODu7q6cc3BwIDIyEoD79+/j4ODAL7/8wvTp06lVqxaurq7Mnj1bawbRjRs38Pb2xs3NjerVq9OmTRtWrVqFWq3O9nXduXMnTZs2zdFSuAIFCqDRaHT6vXfvHiEhIbRr1w4PDw9+//33DNcZt2rViiNHjijXJ4QQQgghhBBCvEtvlHxKZ2BgQLNmzVi4cCHHjx9n+vTpPHv2DG9vbwICAt5WjOIDkZKSwrlz56hbty4GBgbZth87dixbtmyhf//++Pv7U65cOYYPH87Bgwe12j19+pRvv/2W3r17ExAQQKVKlQBITk5mzJgxtG/fnoCAABo0aMC9e/fo3r07UVFRzJo1i3nz5hEZGUnv3r11Ep4bN27k9u3bzJo1i6FDhxIUFMTSpUuBtKV1Q4YMAeCHH35gy5YtLFmyJMvrWbhwISqVioULF9K9e3dWrVrF1q1bta7Dzs6OqVOn8v3339O1a1f8/f2VMTOTkJBASEgIzs7OGZ5Xq9WkpKSQmJhIWFgYq1aton79+piZmWm1Cw4OBqBt27a0bduW5ORk9uzZo9NfjRo1SE1N5Y8//sgyLiGEEEIIIYQQ4m3IW8Xh/5eUlMTvv//OwYMHuXjxIvnz56dEiRJvo2vxAXnx4gVJSUkUL14827aXL19m3759TJs2je7duwPQqFEjHjx4gL+/v9bysqioKAICAqhevbpWH8nJyXh7e2stHZswYQIWFhasXr2a/PnzA+Ds7EzTpk3ZunUrPXv2VNoWLlwYX19fZeyLFy+yd+9exo4di7W1NaVLlwagcuXKOVpmV61aNSZPngxAgwYNOH36NHv37qVHjx6AdoE4jUaDi4uLskXmsGHDMu330qVLJCcn4+DgkOH5rl27aj12cHBg9uzZOu127dqFk5OTshuCvb09QUFByuufztzcnOLFi/P333/TqlWrbK9bCCGEEEIIIYTIizdOPqnVao4fP86uXbs4cOAACQkJ1KtXjxkzZtC8eXNMTEzeZpziA5KTHQzPnj0LoJPcaN26NT4+PsTFxSn3iKWlpU7iKZ2bm5vW4+PHj9OmTRv09fWVJW/m5uY4OjoSFham1bZ+/fpaj8uWLcuuXbuyjT0zrq6uOv2dOnVKeZyYmMiKFSsICgri0aNHJCcnK+cyqs+ULjw8HCDTBNjs2bMpW7YsGo2Ge/fusWTJEvr378+PP/6o9Hn58mWuXbumJMcAPDw8WLJkCQ8fPtRJGFpaWirjCiGEEEIIIYQQ71Kuk0/nzp0jODiYPXv28OLFC6pXr463tzetW7f+x4s0i3+WpaUl+fPn5+HDh9m2jYqKwsDAAEtLS63jhQoVQqPREBMToySfChUqlGEfxsbGOgmb58+fs3btWtauXavT/vWlgK/vVmdgYJCnWmSvL3N7vb+5c+eydetWhg4dSpUqVTAzM+PgwYMsW7aMxMTETJNPiYmJABkWWYe0JFd6wfFq1apRpkwZOnXqxI4dO/j8888BCAwMRKVS4erqSnR0NJCWuPPz8yM4OJiBAwdq9WloaKiMK4QQQgghhBBCvEu5Tj599tlnGBkZ0ahRI9q2bassr3v06BGPHj3K8DmVK1fOW5Tig5AvXz6cnZ05deoUKSkpWRbHtrCwIDk5maioKCwsLJTjz549Q09PTyuRk9lMqoyOW1hY4ObmxmeffaZzLrPkzj9lz549dOvWTSvRc+TIkWyfl/76REdHU7hw4Wzbly1bFoBr19J2mdNoNOzevRu1Wp3hMrqgoCCd5FNMTAzly5fPdiwhhBBCCCGEECKv3mjZXUJCAvv27dPZuex1Go0GPT09Ll269EbBiQ9Pnz59GDhwIMuXL8+wjtGRI0dwc3PDxcUF+F9CJt2ePXtwdHR842WZ9erV49q1azg6OqKvr/9mF/H/0mdKva2dGRMTE7VmX6WmpuZomZ+dnR2QtqteemIpK1evXgXAysoKgDNnzvDo0SOGDx9OrVq1tNoeO3aMgIAArly5otSUUqvVPHz4kM6dO+fswoQQQgghhBBCiDzIdfLJx8fnXcQh/iXc3Nzo378/fn5+XL9+HQ8PD6ysrLh//z4///wzMTExuLm5UbFiRVq0aMGsWbNISEjAzs6OwMBAQkJCst39LSsjRoygS5cu9OvXj65du1KoUCGePXvGH3/8Qc2aNWnbtm2O+0pP9GzcuJFmzZphZGSUadHvnKhfvz5bt26lXLlyWFlZsWnTphwltkqVKkXhwoW5cOGCTo0rSJvhlJqailqt5t69eyxduhRjY2M6duwIpM1sMjExoU+fPjqzv8qXL8+aNWsIDg5Wru3WrVvExcVRs2bNN77WdNZWtnnuQwgh3hb5TBJCCCGE+DDlOvn0ySefvIs4xL/IuHHjqFGjBhs3buTLL78kPj4eGxsbXF1d6devn9Ju7ty5zJ8/n4CAAF68eIG9vT2LFy/G3d39jce2tbVl69atLFy4kGnTphEXF0fhwoWpVatWrhNHjo6ODB8+nK1bt/LDDz9QrFgxDh069Maxff3110ydOpUZM2ZgbGzMJ598QvPmzbWKgGemVatWHD16FC8vL51zkyZNAtKWIRYqVIiqVauyaNEiypQpQ3JyMnv37qVZs2YZLju0trbGzc2N4OBgRo8ejZ6eHkePHqVEiRJKHam88Gj+VZ77EEKIt0mtTkWlytvMWCGEEEII8XbpaTQazfsOQoiP3eXLl/nkk084cOCAUkftXencuTNNmjTJcNlkTp0/f56kpCQcHR0xNjZ+i9GJ/5r4+Hhu3bqFnZ2d3CsiS3KviJyKi4vj0qVLVKpUSXZXFlmSe0XklNwrIjfe1v3y66+/EhgYyIULF4iOjsbW1hZPT086d+6sVf84fbLEw4cPsbOzw9vbmyZNmijnQ0ND+fHHHzlz5gxPnz6lSJEitGzZkiFDhujEd+7cOWbPns2lS5coWLAgPXr0YMCAATna0T4z58+fB8h2coPqjUcQ4l/i0aNH1KxZk6CgoPcdSqYqVqyIu7s769ate6fj/Pnnn9y7d48vvvjinY4jhBC5pdFoiI+PR/5PTAghhBAfgzVr1mBsbMzEiRNZtmwZjRo14uuvv8bf319ps2vXLr7++mtat25NQEAATk5ODBs2jL/++ktp8+uvv3Lnzh369+/P999/T69evfjpp58YPHiw1nh37tyhX79+FC5cmBUrVtCrVy8WL17MqlWr/pHrfaOC4/8lgYGBrFu3jlu3bqHRaChSpAjOzs6MHj2aggULvvXx1qxZg52dXYa1fd6En58fS5YsUR5bWlpib2/P4MGDdcZwcHBg/PjxytK47du3Y2BgQLt27d5KLJmpWbMmvXr1Yvjw4W+lvytXrvD9999z+vRpXrx4gbm5Oc7OzvTs2ZN69epptdVoNHz55Zd07tz5rV/n9u3bmTRpEidPnsTa2jrP/Q0YMIDPP/+czp07U6FCBQDc3d158OCB0sbS0hIHBwdGjBiRac2mIUOGcOjQIWbPnq3UhUp3+/Zt4uPjiY6OxtzcPE/xGhoayuwEkS1jY2McHR3fdxjiFbIsTQghhBDi/Vu2bJnW98h69erx4sULVq9ejZeXFyqVisWLF+Ph4cGoUaMAqFu3LlevXsXf35+AgAAg7Xvkq/3UqVMHc3Nzxo4dS1hYGFWqVAFg5cqVWFlZMX/+fAwNDalXrx6RkZEsX74cT09PDA0N3+n1ftTJp4CAAHx9fenduzcjRoxAo9Fw7do1goKCePr06TtJPq1bt47GjRu/teQTgJGREWvXrgXg6dOnLF++nMGDB7Nx40acnZ2Vdlu2bKF48eLK4x07dmBiYvLOk09v04EDB/D29qZ8+fJ4e3tTunRpIiMj2bdvH3379uWPP/7AzMxMaf/jjz+SmprK+PHj33osjRs3ZsuWLXlO4qQLDg7G1dVVSTyla9myJX379gUgIiKCtWvX0r9/fwIDAyldurRW2xcvXnDs2DGlv9eTT59++ilnzpzBz8+P2bNn5znmXftnEvn8Tp77EUL8M6ytbKVWmxBCCCH+U+4/Os3lm4HExN7/R8ZLTVWnlQt4Yoy+ftpiMjPTklS0b0/JYnVy3E9GExgqVarETz/9RFxcHM+fP+f27duMGzdOq02bNm2YM2cOSUlJGBoaZthP+n/+Pn36VDl29OhRmjdvrpVkatOmDStWrCAkJIQ6dXIe+5v4qJNP69ev55NPPmHixInKsfTd3NRq9XuMLHdUKhVOTk7K4+rVq+Pm5sbOnTu1kk+vtvk3Cg8PZ8KECbi4uPD9999r/aFp2bIln376Kfnyad/Sn332GZ999tk7icfa2vqtzHgCePnyJT///DNz5szROVeoUCGt965mzZrUqVOHY8eO0bNnT622e/fuJTk5mfr163Py5EkiIiJ0kqhdunShT58+TJgwIc/xRz6/w9Nn1/LUhxBCCCGEEEK8ifuPTrP7t+GoNSn/+NgvE/73+5Nn57l5Zz9t3P0oWfTNkzhnz56lSJEimJqacvbsWQDs7Oy02pQtW5bk5GTu3bun7OCeUT8A9vb2QFqdqkePHimP09nb26Onp8fNmzffefLpo675FB0djY2NTYbnVKr/vTQ7d+6kR48e1K5dm1q1auHp6UloaKhWez8/P2rUqMGVK1fo0aMH1atXp23btsosFPjfEqqNGzfi4OCAg4MD27dvz/EYOVWkSBGsra15+PCh1nEHBwdWrlwJgKenJ3/88QeHDx9WYvHz8wPg8OHD9OnTh3r16uHs7Mynn37K0aNHczT2gQMHaNWqFVWrVqVLly6ZXsPhw4f59NNPqVatGnXr1mXq1KnExcVl2fdPP/1EbGwskyZNynBKYN26dZVlYDm5hujoaCZPnkzDhg2pWrUqbm5ueHt75/j89u3bcXBwIDIyUjk2b9482rVrR40aNWjYsCGjR4/WyjZnZu/evQA0atQo27bGxsbo6+uTkqL7ARscHIytrS0TJ04kJSWF3bt367RxcXHB0tLyg66BJYQQQgghhBDZuXwz8L0knjKi1qRw+UbgGz//zJkz7N69W1n1EhUVBaCz0ib9cfr510VGRuLn50fTpk0pU6YMADExMRn2lV5KJbO+3qaPeuZT5cqV2bx5MyVLlqRx48YULlw4w3b379+nY8eOlC5dmqSkJHbt2kXPnj0JDAzUykImJyczduxYvvjiC7y8vAgICGDEiBEcOnQIKysrlixZwsCBA3F2dlZuqPRlUzkdIydevnxJVFQUJUuWzLTN1KlTGTduHEZGRkyYMAGAokWLKrE0adKEvn37olKpOHr0KAMHDmTt2rVZZkMvXbrEiBEjaNSoEZMmTeL+/fuMGjWKpKQkrXZ79uzB29ubTp06MXz4cMLDw/H19SU6OpoFCxZk2v+ff/6JjY0NDg4O2b4Gd+/epVGjRvTp0wd9ff0Mr8HHx4djx44xZswYSpQoQXh4uFaCKrvzGYmIiGDQoEHY2NgQGRnJ6tWr8fT0ZNeuXTqzsl514sQJHB0dyZ8/v845jUajJJoiIyNZtmwZ+vr6NG7cWKvd48eP+fPPP/Hy8sLBwYEKFSoQHByMp6enVjuVSkX16tU5ceIEvXr1yvJ6hBBCCCGEEEK8W48fP8bb25s6derkaXOo5ORkRo8eDcA333zzlqJ7Oz7q5NPUqVMZNmwYkydPBqBkyZI0adKE3r17ayVuXt2SXq1W06BBA0JDQ9mxY4fyxsL/kk/p9Zzs7Oxo2rQpR48epUOHDjg6OmJoaKizjCo3Y2QmPTnx9OlT5s6dS4ECBbK8acuVK4epqSkmJiY6sXz++edasdSpU4fr16/z008/ZZl8+v777ylWrBj+/v7o66cVs82fPz9fffW/+iIajYY5c+bQpk0bZs6cqRwvXLgwAwcOxMvLi/Lly2fY/5MnT7RqVmXl9Wtv0KCBzjWcP3+etm3b8sknnyjtPDw8lN+zO58RHx8f5ffU1FRq1KhBo0aNOHXqFK6urpk+7/z58zRo0CDDc5s2bWLTpk3KYyMjI2bPno2tra1Wu+DgYDQaDW3btgWgXbt2+Pr6cvfuXZ3aUBUrVmTjxo1ZXosQQgghhBBCfMgq2rfn5p39H8TsJ5VePiqWbZ/r50VHRzNgwAAsLS3x8/NTVmFZWFgAabOWXp0oEx0drXU+XfpmW6GhoWzatElrlVd6XeT0GVDpkpKSiI+P1+nrXfiok0/pM0NOnjzJ77//zp9//sn69evZvn07GzdupFKlSgDcuHGD+fPnExISQkREhPL827dva/WnUqm0dlsrWbIkRkZGPHnyJNtYcjpGRuLi4qhcubLyWF9fn6VLl+qs58ypx48fs2DBAk6cOEF4eLiy7fWrY2Tk77//xt3dXUk8AbRq1Uor+XTr1i0ePHjAl19+qbVsrHbt2qhUKsLCwjJNPgHo6enl6BrCw8NZsmQJp06d4unTp6SkpJCSkqK8p5BWhG3Hjh0ULlyYhg0b6hT6zu58Ro4cOcKyZcu4du0asbGxyvHbt29nmXwKDw/PtP5S69atlR0Ko6KiCA4OZvz48Zibm2slrIKDg6lcubLyvnt4eDB//nyCgoIYOnSoVp9WVlY8f/6c5ORkDAwMsr0uIYQQQgghhPjQlCxWhzbufly+8c8XHE8rh/JKwfGy7XNd7ykhIYFBgwYRExPDli1btDbPSv9ed/PmTa3v9jdv3sTAwIBSpUpp9TV79mx+/fVXAgICqFixotY5ExMTihUrxs2bN7WO37p1C41G88a5g9z4qJNPkLbG0c3NTZmtdOzYMQYNGoS/vz9LliwhNjaWvn37Ym1tzcSJEylevDj58+dn8uTJJCYmavVlZGSkU4vIwMBAp93rcjNGRoyMjNiwYQMajYbbt2/j6+vLhAkTCAoKyrSmVWbUajVDhgwhJiaGESNGYGtri7GxMYsXL+bRo0dZPjc8PFynuLWpqanWUrLnz58D6CRD0mU1RpEiRXT+sGR3DcOHD6dMmTIYGxszd+5c7t//3wfS119/jYWFBatXr2bOnDkUK1aMgQMHKgXKszv/utDQULy8vGjatCkDBgygYMGC6Onp0bVr12zfx/SdCjJibW1N1apVlccNGjTg4sWL+Pr6KsmnGzducOnSJYYPH65kws3MzKhSpQrBwcE6r3f6WImJiZJ8EkIIIYQQQvxrlSxaJ09FvnMrLi6OS5cuUalSJUxMTN64n5SUFEaNGsXNmzfZuHEjRYoU0TpfqlQpypQpw549e2jWrJlyfPfu3dSrV0/r++P333/PmjVrmDdvntaEmFc1atSIgwcPMm7cOOU74O7duzE3N6dGjRpvfB059dEnn17XsGFDKlasyI0bNwD466+/ePz4MStWrNDKHsbExCg1kvIqr2OoVColOVGtWjXs7Ozo2rUr/v7+TJs2LVex3Llzh4sXL+Lv7691gyckJGTxrDSFCxfWmrUFaYm1VxMvlpaWAEyZMoVq1arp9JFVsqx27dqcPHmSa9euZTk76u7du5w/f55ly5bh7u6uFcurzMzM+Oqrr/jqq6+4cuUK69atY9q0aVSoUIGaNWtme/51Bw4cwNTUlIULFypTJR88eJBpnK+ysLBQkkbZ0dPTw97enkOHDinHAgPTCtv5+fkpheNfdeHCBa2Za9HR0RgYGGBqapqjMYUQQgghhBBCvD3Tpk3jt99+Y+LEicTGxvLXX38p59JL9gwfPpyxY8dSunRp6tSpw+7duwkNDWXDhg1K26CgIHx9fWnfvj0lS5bU6qd06dLKCpt+/foRFBTEmDFj6NGjB1evXmXlypV4e3tnOhHibfqod7t79uyZzrGEhAQePXpEoUKFlMeA1uyQc+fO5Tip8LqMZkK97TGqVq2Kh4cH27dvJzw8PFexpD9+NZYHDx4QEhKS7bjVqlXjt99+IzU1VTm2Z88erTb29vYULVqUe/fuUbVqVZ2f17O9r/r0008xNTXFx8eH5ORknfOnT58mPj6e+Ph4AK3lf/fu3cvyGhwcHJg0aRKAknjMzXlIex8NDAy0lgbmdEc5Ozs7rVlZWdFoNNy4cQMrKyvl2K5du3BycmLdunVaPytXrsTAwEAnjgcPHuS6kL0QQgghhBBCiLfj+PHjAMyaNYtu3bpp/aTvmN62bVtmzJhBcHAw/fr149y5cyxZskRrplJ6P4GBgTr9HD58WGlna2vLypUrefz4MQMHDmTVqlWMGDFC2QztXfuoZz61a9eOJk2a4Orqio2NDU+ePGHDhg08f/5c2QXMyckJExMTpk2bxsCBA3ny5Al+fn5ZJkmyYm9vz6lTpzh+/Djm5uaULFnyrY8B4OXlxe7du1m7di1jx47NNJadO3dy6NAhChcujI2NjZIc8vX1Ra1WExcXx+LFi3O0fG/gwIF06dKFoUOH0qNHD+7fv8/KlSu1lt3p6ekxceJExo4dS1xcHI0bN8bY2JiHDx9y5MgRvL29M02KFC5cmNmzZzNq1Ch69OhBz549KVWqFM+fP+fAgQMEBQVx+vRpypYtS5EiRZg3b57WNbz+enbv3p3mzZtTvnx59PX12blzJwYGBsqspuzOv65BgwasXbuWGTNm0Lx5c0JCQvjll1+yfd0AnJ2d+fXXXzM89+zZMyV7nV7z6erVq3h7ewMQEhLCvXv3GDJkSIYF4Rs3bsyuXbsYP368MiMrLCwMFxeXHMWWFWsr2+wbCSE+GPJnVgghhBDiw/DqSpasfPrpp3z66aeZnp81axazZs3KUV/Ozs789NNPOWr7tn3Uyadhw4bx22+/MWvWLCIjI7GyssLBwYE1a9ZQt25dAAoVKsSiRYuYM2cOXl5elClThmnTpvHDDz+80ZijR4/mm2++Yfjw4bx8+RIfHx86der0VseAtMRSmzZt+PHHHxk0aJBW4bJ0AwYM4O7du0yYMIHo6GiGDRvG8OHD8fPzY/r06YwcOZJixYoxZMgQTp06RVhYWJZjOjo6smjRIubNm8ewYcMoX748CxYsUIplp2vdujXm5uYsX75cmZFTokQJGjZsqMw4y0yzZs3Ytm0bAQEB+Pr68vz5c8zNzXFxcWHVqlXKdS5ZsiTba3B2dmbnzp3cv38flUpFhQoVWL58OWXLls3R+de5ubkxduxYNmzYwPbt23F2dmbFihW0bNkyy2sCaNmyJStWrOD27duUKVNG69zevXvZu3cvAAUKFMDW1paZM2fSuXNnIK3QuLGxcabjdOzYkf3793P69Gnq1atHREQEFy5cyNEuitnxaP5V9o2EEB8UtToVlUo/+4ZCCCGEEEK8JXqa9K3MhBDvVadOnXB3d2fYsGHvdJyNGzeyZs0a9u3bl+PdA193/vx5kpKScHR0xNjY+C1HKP5L4uPjuXXrFnZ2dnKviCy9reKd4r9P7hWRU3KviJySe0Xkhtwv2s6fPw+gtUlWRj7qmk/iv2fx4sW0aNGCqKio9x1Krnl5ebF582aSkpLe2RhqtZp169YxdOjQN048CSGEEEIIIYQQuSHJJ6HDz88PBwcH5adq1aq0bt2agIAA1Gp1rvvz9PRk0KBB7yBSbelV/5cuXYqFhcU7G8fBwYGVK1cqj9/W9TVr1gx9fX1WrFihHJs4caLWe+Hk5ET79u3ZunVrpv2sWbMGBwcHvvzyS51zjx8/Jioq6q0kngwNDWUmi8iWsbGxzJB7C9Tq1OwbCSGEEEII8YH6qGs+icwZGRmxdu1aIG0Xt9OnT+Pr64tGo2HgwIG56mvq1KlKoet3JT4+ngkTJvDdd99Rrly5dzrW697W9e3fv5+kpCQGDBigdbxUqVLMmzcPgJcvX7J//34mT56MiYkJHh4eOv0EBgYq/X3zzTda22YWL16ccePGsWTJEjw8PMiXL28fAbv2zyTy+Z089SGEyJq1la3UVxNCCCGEEP9qknwSGVKpVDg5OSmP69aty9WrV9m3b1+uk0//RDLI2Ng4093i3rW3dX1r167Fw8MDIyMjreNGRkZa70WDBg3466+/2Ldvn07y6datW1y4cIH69etz4sQJDh8+TIsWLbTatGnThm+//ZbDhw/TrFmzPMUc+fwOT59dy1MfQgghhBBCCCH+22TZncixAgUKkJKSonVs3rx5tGvXjho1atCwYUNGjx7N06dPtdq8viztxo0beHt74+bmRvXq1WnTpg2rVq3SWtJ3//59HBwc+OWXX5g+fTq1atXC1dWV2bNn68Tw559/0r17d6pVq0adOnWYNGkSL1680Olrx44dfPnll7i4uFC7dm18fHx0+rpy5Qr9+vXDyckJFxcXRowYwcOHD7N8XV6/vsePHzNy5Ejq169P1apVcXd357vvvsuyj3v37nHmzBlatWqVZbt0Gb0XkLbznZ6eHtOnT6dQoULKboKvMjY2xs3NjR07duRoLCGEEEIIIYQQIi9k5pPIVHpyI33Z3b59+3RqG0VERDBo0CBsbGyIjIxk9erVeHp6smvXrkyXdD19+hQ7OzvatWtHgQIFuHTpEn5+fsTFxens9LZw4UKaNm3KwoULCQkJwc/Pj9KlS9OjRw8AwsLC6NOnD3Xq1GHRokU8e/YMX19frl+/zubNm9HX/9924vPnz8fV1ZWFCxdy8eJFFi9ejIGBAWPHjgXg0aNHfP7555QqVYq5c+eSmJjIggUL+PzzzwkMDMTU1DRHr9v48eN5+vQpkydPpmDBgjx69IiwsLAsn3Pq1Cny5ctHtWrVMjyf/l7ExcWxb98+zp07x+zZs3XaBQcHU7NmTUqVKkXr1q3ZsmULMTExmJmZabWrUaMGixcvRq1Wv/MlkUIIIYQQQgghPm6SfBIZiouLo3LlylrH2rRpo7PkzsfHR/k9NTWVGjVq0KhRI06dOoWrq2uGfderV4969eoBoNFocHFxISEhgQ0bNugkn6pVq8bkyZOBtOVmp0+fZu/evUryafny5RQuXJjly5djYGAAQLFixejXrx9HjhzB3d1d6at06dJKvA0bNiQhIYHVq1czYMAALCwsWLNmDSkpKaxatQpLS0sAKlWqhIeHBzt27MDT0zNHr9358+cZPXo0bdq0UY517Ngx2+eUKVNGqz5TumvXrum8F3379qV9+/Zax0JDQ7l9+zZ9+vQBoG3btqxfv569e/fSpUsXrbYVK1YkNjaWGzduUL58+RxdlxBCCCGEEEII8SYk+SQyZGRkxIYNGwBISkriwoULLF68mMmTJ2slnI4cOcKyZcu4du0asbGxyvHbt29nmnxKTExkxYoVBAUF8ejRI5KTk5VzL1++pECBAsrj1/soW7Ysp06dUh6fOXOGtm3bKomn9OeYm5tz9uxZreRT8+bNtfpq2bIlS5cu5erVq9SqVYszZ85Qp04dJfGUPl7FihU5e/ZsjpNPjo6OrFq1Cn19fRo0aICtrW22z3n69ClWVlYZnitdujTz588H0mahnTlzBn9/fwoUKKCVrAsODsbAwEBZuufk5ESpUqUICgrSST6ljxUeHi7JJyGEEEIIIYQQ75Qkn0SGVCoVVatWVR67uLiQmprKrFmz6NOnDxUqVCA0NBQvLy+aNm3KgAEDKFiwIHp6enTt2pXExMRM+547dy5bt25l6NChVKlSBTMzMw4ePMiyZctITEzUSj69vlzMwMCApKQk5XF0dDQFCxbUGaNgwYJERUVpHbO2ttZ6XKhQISAtAZPeV6VKlXLUV1YWLFjAggULWLhwIdOmTcPOzo7Ro0frFP5+VVJSUoazngDy58+v9V7UqlWLiIgIli9fzueff46lpSVqtZrdu3dTu3ZtVCoV0dHRADRt2pR169bx5MkTihQpovSRPlZCQkKOr0sIIYQQQgghhHgTknwSOWZvbw/A9evXqVChAgcOHMDU1JSFCxcqdYMePHiQbT979uyhW7duWkv4jhw58kYxWVhYEBERoXM8IiICCwsLrWORkZFaj589ewZA4cKFs+2rTJkyOY7JxsYGHx8f1Go1YWFhLFu2DG9vb/bs2UOpUqUyvY6cvHbp7O3tSU5O5s6dO1haWnLq1CnCw8MJDw+nVq1aOu13796tLMcDlOTUq7O8hBBCCCGEEEKId0EqDYscu3btGvC/JVsJCQkYGBigp6entMlod7XXJSYmai2TS01NZdeuXW8Uk4uLCwcPHtTa+e348eNER0fj4uKi1Xb//v1aj/fu3YuxsTEVKlRQ+jp16pTWLKebN29y5coVnb5yQqVSUa1aNUaNGkVKSgp37tzJtK2dnR3379/Pcd+vvxdBQUGYmJiwZs0a1q1bp/VTsWJFnfclPdGVm6SaEEIIIYQQQgjxJmTmk8iQWq3mr7/+AiA5OZkLFy6wbNkyypUrR82aNYG0AuBr165lxowZNG/enJCQEH755Zds+65fvz5bt26lXLlyWFlZsWnTJq2ldLkxePBgunfvzqBBg/D09FR2u6tWrRpubm5abe/evcukSZNo06YNFy9e5Pvvv6dXr17KDKnevXuzfft2+vbty5AhQ0hMTGThwoUUK1aMTz75JEfxxMTE0K9fPzp06ICdnR3JycmsX78ec3NzHB0dM32es7Mz/v7+PH78mKJFi2qdS0hIUN6L9JpPW7dupUGDBpQuXZrExET2799PixYtlELur+rcuTMzZ87k5s2byuy1sLAwypYtq7MUMbesrbKvZyWEyBv5cyaEEEIIIf7tJPkkMpSQkEC3bt0AyJcvH0WLFqV9+/YMGzZMmbXk5ubG2LFj2bBhA9u3b8fZ2ZkVK1bQsmXLLPv++uuvmTp1KjNmzMDY2JhPPvmE5s2bK7va5UaVKlVYtWoV8+fPZ/jw4ZiYmODu7s6ECRPQ19fXauvt7c0ff/zByJEj0dfX57PPPsPb21s5X6xYMdavX8+cOXMYO3YsKpWKBg0aMHHiRExNTXMUT/78+alQoQLr16/n0aNHGBkZUaVKFVauXJlloqd27dpYWlpy9OhRunbtqnXu3r17ynthYGBAiRIl6NevHwMGDADg8OHDxMTEZLqjXtu2bZkzZw5BQUGMHDkSgKNHj2b7PuWER/Ov8tyHECJ7anUqKpV+9g2FEEIIIYT4AOlpNBrN+w5CiHfp/v37NG3alEWLFik7wX2IZs2axcWLF1m3bt07HefatWt06NCBvXv3ZlqDKjvnzp1Do9HoLLsU4nUajYaUlBTy5csn94rIkkajITk5WT5XRLbkXhE5JfeKyCm5V0RuyP2iLSkpCT09PZydnbNsJzWfhPhA9O3bl9DQUC5fvvxOx1m1ahUdOnR448QTgJ6envIjRFb09PTkL2aRI3p6ehgaGsq9IrIl94rIKblXRE7JvSJyQ+4XbTn9XijL7oT4QKTvkvf6rnxvk1qtxtbWNtMlejlVo0aNtxOQEEIIIYQQQoj/PFl2J4QQQgghhBBCCCHeGVl2J4QQQgghhBBCCCHeGUk+CSGEEEIIIYQQQoh3RpJPQgghhBBCCCGEEOKdkeSTEEIIIYQQQgghhHhnJPkkhBBCCCGEEEIIId4ZST4JIYQQQgghhBBCiHdGkk9CCCGEEEIIIYQQ4p2R5JMQQgghhBBCCCGEeGck+SSEEEIIIYQQQggh3hlJPgkhhBBCCCGEEEKId0aST0IIIYQQQgghhBDinZHkkxBCiHcqNTUVAI1G854jEUL816jV6vcdghDiP0Y+V4R4NyT5JITIteTkZJ48ecLt27dJTk5WjktyQbwuJiaGli1bEhYWhp6e3vsORwjxHxEfH09KSgoqlfxTVgjxdsjninhT8h0oZ/K97wCEEP8usbGxDBo0iMjISG7dukW9evVwdXWlX79+klwQWmJjY+nSpQtWVlbY2Ni873DEBy4hIYGTJ0/y5MkTqlWrRqFChbCxsUGj0chni9ASGxuLq6srn332GePHj3/f4YgPmHyuiJySzxWRU/Hx8ezdu5dHjx7h6OhImTJlsLW1lc+VHJDkkxAix5KSkujduzempqaMGjUKfX19AgMDWbFiBWFhYfj6+sr/Fgkg7R9x7du3p3Tp0syaNUuSTyJLsbGx9OjRg/j4eJ4/f06+fPmwtbVl9OjR1K1b932HJz4gsbGxdOzYkRo1auDp6fm+wxEfMPlcETklnysip2JjY+natSuQNrtfT08PtVrNV199RevWrd9zdB8++ZYohMixy5cvExUVxciRI2nZsiXNmjXj66+/ZuzYsRw7dowhQ4aQkpICyPTTj1l8fDxdu3alQIECLFy4kKJFiwLw4MEDLl++TEhICE+fPn3PUYoPRWpqKl999RVWVlb4+/vz559/Ko/79u1LYGDg+w5RfCBevnzJJ598QpkyZfjuu++Uz5bXyd8/Qj5XRE7J54rIKbVazXfffYelpSVLly7l2LFjzJ07l4YNGzJ69GhWrFhBQkLC+w7zgyYzn4QQufLs2TPi4+OBtA/hwoUL06FDBywtLfnqq68YM2YMixYtkmmnH7ErV65w69YtatasyaVLl6hXrx6HDh3Cx8eH8PBwEhIScHBw4JNPPqF3797vO1zxniUkJHDnzh1atWqFg4MDAO3bt6dq1aoULlyYiRMnolar6dixo0xp/4glJSXRo0cPoqOjGTt2LMWKFQPg/PnzXL58mZs3b+Li4oKDgwOlSpWSe+UjJ58rIifkc0XkRkpKCrdv36Zq1aqUKVMGgDp16lCpUiVKlizJwoULUavVDBky5P0G+gGT5JMQIsfMzc0xMDDg3Llz1K9fH41Gg0ajIX/+/Li5uTFx4kR8fHxYunQpXl5e7ztc8Z44OTmxfPlypkyZwrp16zh79izLly+ne/fu1K5dGyMjI1atWsXq1avR19eXKe4fOY1Gg0qlIiYmBkj7x12+fPmws7Nj+PDhqFQqJk2ahI2NDfXr13/P0Yr3xdDQEAcHByIjIwkKCqJixYocOXKEsWPHkj9/fuLj4/nxxx9xdHTkyy+/pEqVKu87ZPEeyeeKyAn5XBG5oa+vj6mpKU+ePEGtViulRszNzRk0aBB6enosXryYUqVK0bZtW0lWZkBPI3MIhRC5sGTJEpYvX87q1aupVasWqampqFQq9PT0iIyMZM6cOdy+fZuAgADMzMzed7jiH/bqX7SHDx/mq6++Ii4ujgEDBtCvXz/y588PwI0bN5gyZQrJycmsXLlS7pWP3Pjx4zlz5gzbtm3D2tqa5ORkDAwMALhz5w6zZ8/mwYMHLF26lBIlSrznaMU/7dV/5E+ZMoXDhw9TrVo1jh8/Tp8+fWjVqhUVKlRg48aN/PTTT5ibmzNnzhxlFoP4OMnnisiKfK6INzFv3jx+/vlnAgICqFKlita/e2NjY5kzZw579+5lw4YNlC9f/j1H++GRmk9CiFzp1KkTdevWZfDgwYSGhqKvr49arUatVmNtbU3nzp3566+/uHv37vsOVbwHenp6Sl2Exo0bM2vWLGrWrEmTJk2UxFNKSgply5bl888/JzQ0lIcPH77PkMV7pFarAfD29kaj0TBmzBgADAwMSE5OBsDW1pYOHToQHh7O/fv331us4v1RqVSkpqYCMH36dBo3bszhw4fp2bMn/fv3p0KFCgD07NmTTp06cf78efk76CMmnysiJ+RzReRG+r9tR4wYgY2NDVOnTiU6OlopOA5gampKp06dMDMz48KFC+8z3A+WJJ+EELlSvHhxBg8ejIODA3379uXMmTPo6+sr/3ukr69PiRIllESD+Pi8moBq2LAh3377LZUqVQLS/vLOly9txXdERASFChXCysrqvcUq3q/0z43ChQszcuRIQkNDGTp0KKD9RbFly5bo6+vzxx9/vLdYxfulr6+v9UVx2LBh1K5dGxMTEwDlXvnss89ISkoiLCzsvcUq3i/5XBE5JZ8rIqfS/21raGjI5MmTCQ8PZ8iQIcTGxqJSqZR/9zo5OWFgYMDff//9niP+MEnySQihIz2D//qq3PTHNWvWZPTo0VSrVo3evXuzcuVKLl68yO3bt9mxYwcqlUoSCh+JzO6VV9e4FylSBEj7R1z68cjISP744w/s7OyUf+SJj1e+fPlo1qwZw4cP59SpU/Tr14/Y2FhlicyTJ0+wsrKS5Q4fuVe/KA4ePJhGjRoBaZ9D6ffKuXPnsLa2luUOH5H0v39e/3tIPlfE6zK6V+RzRWQko3sl/d+w1atXZ8qUKdy9e5c+ffpw9epVpV1kZCQWFhaULFnynw/6X0BqPgkhFOnr3+Pi4rQSAq+uZ37197t377J161bWrVuHoaEhlpaWJCcns2zZMmWmi/hvysm9kpkzZ87w888/s2/fPn788Udlarv470tNTUVfXz/T87Gxsezdu5dFixZhbGxM165dMTc3JyQkhIMHD7J161ZKly79D0Ys3pfs7pV06YWkIe0f/XPnziUkJIS1a9cqiW/x35aUlIShoSGQ8d9B8rki0mV3r6STz5WPV2pqKmq1mhcvXlC4cOFM2yUlJXH27FlmzpzJixcvaN68OcWKFePKlSscO3aMLVu2YGdn9w9G/u8gySchBJD2j7MZM2Zw7949AFxdXencubPyl+yrhRlf/wv7ypUrPHnyBI1GQ8WKFeUv5v+43NwrrwsODiYgIID4+HgWL15MxYoV/7G4xfsRFxfHwYMHadeuHZD1/QFpM+QePHjAvHnzuH79OklJSRQtWpQpU6bI/fIfl9t75VW//PILhw8f5vfff2f9+vVyr/zHxcXFsXr1aq5cuUJKSgpNmjTh008/BTJOKsjnyscrt/fKq+Rz5ePy8uVLvvvuO65evcrTp0/p3LkzI0aMADK/V+Li4pg7dy5XrlwhIiKC0qVLM2bMGLlXMiHJJyEE8fHxdOnShYIFC+Lg4EBKSgpbt26lcuXK9OrVizZt2gD/+yKQ/j/SsoXox+dN75V0Fy5c4Pr167i4uMiU5I9AfHw8PXr04PLly4wfP56+ffsCmScVXv9MCQ8PR6VSkT9/fkxNTf+xuMU/L7f3yqvOnj1LQEAA4eHh+Pj4yGzK/7iXL1/SrVs3TExMsLCwID4+njNnzjB69GgGDhyo014+Vz5eub1XXiWfKx+X2NhYunTpQqFChXB0dEStVrNhwwZGjBiBl5dXhs959e+n+Ph4UlJSMDAwwMjI6J8M/V9Fkk9CCHbu3Im/vz8BAQGUKVMGgFu3bjFq1CjUajXdu3enZ8+egPYH7fHjx2nQoMH7Clu8B296r/z++++4urrqHBf/XSkpKcycOZO9e/dia2vLw4cP+fzzzxkwYACgex+8nqiU++Tjkdd7JSYmhsePH1OwYEGsra3/8fjFPycpKYkRI0bwf+zdd1hUx9fA8S8oKIiCCFhQFAsoCgKCXVEs2HvBKImKJdbYEkliikYj9oLYsLdo7ELsGrAbey+o2BURpIUO+/7Bu/tz3aUoEhM9n+fJE/feuTNzd4eFPTtzJiUlhZ9++ony5cvz8uVLFi9ezK5du1i9erXasn95X/l05XWsyPvKpyM5OZkBAwZQoEABfvnlF8qVKwfATz/9xL1791i7dq1a+deXb4L6Mk2RPXn3FULw4sUL0tPTVcGElJQUrK2tWbp0KSVKlGDjxo3s2rUL+N8uMtOmTcPb25tt27Z9qG6LD+Bdx8qAAQPYunWr2nHxcXv06BEnT56kcePG/Pjjj9SpU4e1a9cSEBAAZI4DZcJ6QPVH/8yZM7l//76Mk09IXsbKvXv3KFq0KFWqVJEPiJ+AU6dO8eLFCzw9PVUfEM3MzGjZsiXJyck8ffpUrby8r3y68jJW5H3l03L8+HEyMjL44osv1GblW1hYYGFhwf79+9m1a5dqzCgDT99++y03b96UwNNbkHdgIQS2traEh4dz6tQpIPNNNS0tjZIlSzJt2jT09PRYs2aNKscPZO545+LigpOT04fqtvgA8jJWnJ2dP1S3xQdQunRpvL298fHxoVq1agwcOBBXV1eNoIJylyGA3bt3s2zZMn766SfS0tI0dq8SH6e8jJWJEyfKWPmElC1bFiMjI+rXr68WlKxduzalS5fm8uXLAPK+IvI0VuR95dPi5OREz549adCggWqJbmJiIrt27eLs2bP4+voyYcIEhg8fzrFjxwA4efIk27dvZ+TIkaSmpspYySVZdieEIDo6mkGDBlG6dGnGjh2r2vVFOY304cOHtG/fns8//5yxY8eqrktKSpJ1zZ8YGSvibShzrSjHx927d1m4cCFnzpzBy8tL67KqpUuX0qJFC9kl5hMjY0XkVmJiIgYGBhpL6Lp06YKzszMTJkzQuGbJkiW0bNlSxsonRsaKyC3l76CMjAwUCgVt27alaNGi/PDDD1hbWxMZGUmfPn2oVq2a6kuRnTt34ujoSPny5T9w7/87ZOaTEAITExMmTJjA0aNH2bhxI+Hh4QAULFiQlJQUrKysGDBgAMHBwURFRam+JZJgwqdHxop4G8pvEJVT0itVqsTQoUNVs1qWLVsGwLNnz1i3bh2xsbEMGjRI/uj/BMlYEbllYGAA/G8Jt/L3TJEiRUhKSlKVi4+P5+DBgwAMHjxYxsonSMaKyC3l7yBdXV0KFCiAp6cnfn5+ODg4ULRoUSpUqMCECRM4duwYN2/eBKBjx44SeHpLskBRCAGAg4MD/v7+9OvXD11dXXr27Em5cuVU65oLFixIeno6RYoUUUvIKD49MlZEXlSqVIkhQ4ago6PDmjVriI2N5f79++zfv5/mzZtTrFixD91F8S8hY0XkhvL3TNGiRXn16hWQmSx66tSpbNu2jSNHjmBhYfEhuyj+JWSsiJwoZ0D17dtX49yTJ0+wsrJS5RATb0+CT0IIlXr16rFixQqGDRvG8+fP8fT0xMXFhcjISB4+fEipUqVIS0ujUKFCH7qr4gOTsSLeVUZGBpUrV2bIkCEkJSWxdOlSjI2N2bZtG6VKlfrQ3RP/IjJWxNvQ19cnNjaWpKQkpk+fzt69e9myZYsEE4QGGSsiK8oZUPC/QBTAy5cvuXbtGnZ2drJxQR5I8EkIoaZ+/fqsWrWKiRMnMmDAACpUqICOjg5Pnz5l9erVFClS5EN3UfxLyFgR70L5R1uxYsX4+++/KVq0KOvXr6dy5cofuGfi30bGisgNZT4fAwMDoqKi+PXXX9m1axe//fYbdnZ2H7p74l9Exop4G8rA0927d1m2bBknT55k3bp1quWc4u1JwnEhhFYvX77k1KlTnD9/njJlytC8eXMqVKjwobsl/oVkrIi3lZiYyIQJE/jjjz/YsWMHVatW/dBdEv9SMlZEbs2ZM4clS5ZgZGTE6tWrqV69+ofukviXkrEicsvPz4+LFy8SFhbGwoUL5XdQHknwSQghhBD/uGPHjmFubo6tre2H7or4l5OxInLj+vXrDBgwgLVr11KpUqUP3R3xLyZjReTWrVu32Lt3L126dJFcT++BBJ+EEEIIIYQQ/3lJSUmyu6rIFRkrIrfS09NlA533RIJPQgghhBBCCCGEECLfSKp2IYQQQgghhBBCCJFvJPgkhBBCCCGEEEIIIfKNBJ+EEEIIIYQQQgghRL6R4JMQQgghhBBCCCGEyDcSfBJCCCGEEEIIIYQQ+abgh+6AEEIIIYQQQgghhHh/Hjx4wPLly7l06RKhoaFUrFiRoKCgd64vODiYxYsXc/PmTfT09KhatSozZsygVKlSubpeZj4JIYQQQoi35uXlhZeXV77UvXfvXlxcXPD09OT+/fv88MMPrFq1Kl/aelvbtm3D1taWx48ff+iu5KuMjAzatWvHokWLPkj7R44cwcnJiaioqA/SvhBC/NeFhoYSEhJC+fLlqVSpUp7q2rlzJ8OHD6d27dosXrwYX19fatSoQXJycq7rkJlPQgghhBAfiW3btvHtt99meX7Tpk04Ojr+cx16R8uWLaNHjx48fvyY1q1bU6xYMbZu3fqhu5WvXr58yfLly/nzzz959uwZOjo6VKxYkebNm9OnTx+KFSumKqtQKNi5cyebN2/m1q1bpKamYmVlhYeHB/3798fQ0DDP/QkKCuLZs2f06dNHdez8+fMcP36cL774Qq0/+aFx48ZYWVmxZMmSbMe0EEII7dzd3WnevDkAPj4+XL169Z3qiY6OZtKkSXz33Xd89tlnquPNmjV7q3ok+CSEEEII8ZEZOXIkZcuW1ThuZWX13tpYvnz5e6vrTfPmzaNkyZIULFiQqKgoihQpQqFChfKtvQ/t8uXLDBo0iISEBDp06ED16tUBuHr1KgEBAZw9e5YVK1YAkJ6eztixY9mzZw8uLi4MHz4cAwMDzp49i7+/P/v27WPlypWYmZnlqU/Lly+nbdu2FC1aVHXswoULLFiwgM6dO+d78AmgZ8+eTJ8+nREjRmBkZJTv7QkhxMdEVzfnhW4KhYIVK1bw+++/8+TJE0qWLImXlxd9+/ZVldmzZw8ZGRl069YtT/2R4JMQQgghxEemcePG2Nvb52sb+vr6+Va3paWl6t+mpqb51s6/QWxsLMOHD6dAgQJs375dY2nE6NGj+f3331WPly1bxp49e+jfvz/jx49XHe/ZsyetW7dm2LBh+Pj4sGzZsnfu0/Xr17l58yY+Pj7vXMf74OHhweTJk9m7d2+eP/QIIYTQNGXKFDZv3syXX35JzZo1OX/+PDNnzqRQoUL06tULgEuXLmFtbc2OHTtYtGgR4eHhVKlShTFjxuDm5pbrtiTnkxBCCCHEJ+bx48fY2tqyfPly1q9fT7NmzahZsyb9+/fn2bNnKBQK/P39ady4MQ4ODgwZMoTo6Gi1OrTlfFq7di1t27alZs2auLq60qVLFwIDA1Xn4+PjmTJlCu7u7tSoUYN69erRr18/rl27plbPnj176NKlCw4ODtSpU4dx48YRHh6ucR93795l5MiR1K5dG3t7e7p06cKhQ4fUyqSmprJgwQJatmyJvb09derUoVevXhw/fjzH5yk0NJTPP/8cBwcHGjduzMKFC8nIyNBaNiQkhM8++wxHR0ecnJwYNGgQoaGhObaxceNGwsPD8fHx0ZqTw8zMjKFDhwKQlJTE8uXLqVChAmPHjtUo6+7uTqdOnTh69CgXL17Mse2sHDx4ED09PVxcXFTH/Pz8mD59OpC51MLW1lYt91VaWhr+/v40b96cGjVq4O7uzuzZs0lJSdHo4+DBgzl79izdunXD3t6eZs2asWPHDo1+lChRAltbW43XVAghRN49fPiQdevW8d133zFkyBDq16/P8OHD6du3L/7+/qrfdxEREYSFhTFv3jy++uorAgICsLS0ZOjQobn6PackM5+EEEIIIT4y8fHxGomadXR0KF68uNqxwMBAUlNT8fLyIjo6mmXLljFq1Cjq1q3L6dOnGThwIA8ePGDdunVMmzaNqVOnZtnm77//zuTJk/Hw8ODzzz8nOTmZW7ducenSJdq3bw/ATz/9xL59++jTpw+VKlUiOjqac+fOcffuXdVSM2XeKnt7e8aMGUNkZCRr1qzh/Pnz7NixQ7XcKzQ0lF69elGyZEkGDhyIoaEhe/bsYdiwYfj5+dGiRQsAFixYwJIlS+jevTsODg7Ex8dz9epVrl27RoMGDbK8n4iICD7//HPS09MZNGgQBgYG/P7771qX/+3YsQMfHx8aNmzIuHHjSExM5LfffuOzzz5j+/btWpdAKh0+fJjChQvj4eGRZRmlc+fOERMTw+eff07Bgtr/jO/UqRPbtm3jzz//fOf8XhcuXMDGxgY9PT3VsRYtWnD//n2CgoL49ttvVWNJOTNtwoQJbN++HQ8PD/r168fly5dZsmQJd+/exd/fX63+Bw8e8NVXX9GtWzc6d+7M1q1b8fHxoXr16lSpUkWtbPXq1Tl48OA73YcQQoisnThxAoCWLVuSlpamOl6/fn0CAgJ49uwZlpaWKBQKEhISmDlzpirPU+3atfHw8CAgIED1xUROJPgkhBBCCPGReT1Xg5K+vj5XrlxROxYeHs7+/ftVeX0yMjJYsmQJSUlJbN26VRXgePXqFYGBgUycODHL5XbBwcFUqVKF+fPnZ9mvkJAQevToobaca+DAgap/p6amMnPmTGxsbFi/fr0q0FOrVi0GDx7MqlWrGDlyJJC5VKB06dJs3bpV1afPPvuMXr16MXPmTFXwKTg4GDc3N3755Zdsn7M3BQQEEBUVxebNm3FwcACgc+fOtGzZUq3c33//zZQpU+jevbtaG507d6ZVq1YsWbIk27bv3btHhQoVcrWM8c6dOwBUrVo1yzLKc/fu3cuxvuz6VLNmTY167ezsCAoKonnz5moBtZs3b7J9+3a6d+/O5MmTAejduzempqasWLGCU6dOUbduXVX5sLAw1q9fr5pZ1bp1a9zc3Ni2bZvaUkKAcuXK8erVKyIjIylRosQ735MQQgh1r169QqFQqL0/v04ZfFJ+6fN6OT09PVxdXWXmkxBCCCHEp+zHH3/E2tpa7Zi2xKOtWrVSSyitDLJ06NBBbWaNg4MDQUFBhIeHU65cOa1tFitWjOfPn3P58mVVPdrKXLp0ifDwcEqWLKlx/urVq0RGRjJ8+HC1GUZNmjShYsWKBAcHM3LkSKKjozl16hQjR44kPj5erY6GDRvi5+enaqNYsWKEhoZy//59KlSooLVf2oSEhODo6Kh2L6amprRv354NGzaojp04cYLY2Fjatm2rNttMV1eXmjVrcvr06WzbiY+Pp0iRIrnq099//w2QbXnlOeXzsmvXLtavX0/BggWJiYmhb9++OeZPio6OfquE4iEhIQD069dP7Xj//v1ZsWIFISEhah9aKleurLakz9TUFGtrax49eqRRt7Ifr169kuCTEEK8R8bGxujo6LBhwwa1ma5Kyr8jKleunGUdycnJuW5Pgk9CCCGEEB8ZBweHXCUcL126tNpjZSAqq+MxMTFZBp8GDhzIiRMn6N69O+XLl6dBgwa0a9eOWrVqqcqMGzcOHx8fmjRpQvXq1XFzc6NTp06qOp8+fQqgETgDqFixIufOnQMy81QoFArmzZvHvHnztPYnMjKSkiVLMnLkSIYOHYqHhwc2NjY0bNiQjh07Zjt7SNmXN2f/aOvb/fv3Afjiiy+01pPTLm1GRkaqoFJOlIGl7Mq/GaBycnKidevW6OnpcePGDTp37kzdunWzXQoImTsg5daTJ0/Q1dXV2E3R3NycYsWK8eTJE7Xjb44vyPwQFBMTk2U/dHR0ct0fIYQQOatXrx6Q+YWDu7t7luWaNm2Kn58fJ0+epHnz5gCkpKRw5swZtS8SciLBJyGEEEKIT1SBAgW0Hs9qe+bsAhKVKlVi7969BAcHc/ToUfbv38+GDRsYNmyYaqlcmzZtcHFx4cCBAxw/fpzly5cTEBCAn5/fW+2Yo0yC2r9/fxo1aqS1jDIQ4urqyoEDBzh06BDHjx9ny5YtrF69mokTJ9K9e/dct5kV5XMyffp0zM3NNc5n9RwrVaxYkRs3bpCSkpLj0jtlQvKbN2+qPgC86datW2pl3wwW6ujo5BjIMTExITY2Ntsy2uQ2QJTTc/I6ZT/ezFcmhBAie4mJiaqZqU+ePCE+Pp69e/cCmTmbrK2t6d27N9988w3e3t7UrFmT1NRU7t+/z+nTp1m4cCGQmXvPw8ODH374gejoaMzNzdmwYQMvX77E29s71/2R4JMQQgghhHgvDA0NadOmDW3atCElJYURI0awePFiBg8erFpGZ2FhQe/evenduzeRkZF07tyZxYsX4+bmRpkyZYDMnEDKb2SVwsLCVOeVARU9PT3q16+fY79MTEzo2rUrXbt25e+//6ZPnz74+fllG3wqU6YMDx480DgeFham9ljZlxIlSuSqL29q2rQpFy5cYP/+/bRr1y7bsrVq1aJYsWIEBQUxZMgQrUEc5a5xTZs2VTseHx/P+PHj+eKLL7C0tMy2nYoVK6p2sXtdVsElS0tLMjIyePDggdqOfS9fviQ2NjbH9rLz+PFjihcvrkpsLoQQInciIyP56quv1I4pH69Zs4Y6deowYcIErK2t2bRpE/7+/hQpUgRra2tatWqldp2vry+zZ89m1qxZxMfHU716dVauXImtrW2u+6P9ay0hhBBCCCHewqtXr9Qe6+vrU6lSJRQKBampqaSnpxMXF6dWpkSJElhYWJCSkgJAjRo1KFGiBBs3blQdg8ycQnfv3qVJkyaq62rXrs2mTZt48eKFRl9ez730Zr+KFCmClZWVWv3auLm5cfHiRS5fvqxWb2BgoFq5Ro0aYWRkxJIlS0hNTc22L9p4enpibm6Or6+vRmALMj88KL99NjAwoH///oSFhTFnzhyNssHBwWzfvp2GDRuq7XSXnJzMiBEjsLKy4uuvv862PwCOjo6EhoZqPEcGBgYAGq+jctba6tWr1Y6vXLlS7fy7uHbt2jvv2ieEEJ+ysmXLcuvWLa3/1alTB8j8UqFPnz4EBgZy9epVTp8+zcaNGzU2LjE0NGTChAmcPHmSK1eusHHjRrVl9bkhM5+EEEIIIT4yR44c0brbmbOzc5Y5m/LK29sbMzMznJ2dKVGiBPfu3WPdunW4ublhZGREbGwsbm5ueHh4ULVqVQwNDTlx4gRXrlxR7X6np6fHuHHj+Pbbb+nTpw9t27YlMjKSNWvWYGlpqfbH8E8//cRnn31G+/bt6dGjB+XKlePly5dcvHiR58+fs2vXLgDatm1L7dq1qV69OiYmJly5coV9+/bRp0+fbO9nwIAB7Ny5kwEDBvD5559jYGDA77//TpkyZVRL2yAzZ9PPP//MN998Q5cuXWjTpg2mpqY8ffqUkJAQnJ2d+fHHH7Nsx9jYGH9/fwYNGkSnTp3o0KED1atXB+D69esEBQXh5OSkKj9o0CBu3LhBQEAAFy9epGXLlhQuXJhz586xa9cuKlWqxLRp01Tlk5KSGDJkCKampkybNi1XS96aNWvGwoUL+euvv2jYsKHquLJfc+bMoU2bNujp6dG0aVOqVq1K586d2bRpE7Gxsbi6unLlyhW2b99O8+bNs9xJKSeRkZHcunWLzz777J2uF0II8e8hwSchhBBCiI/M/PnztR6fOnVqvgWfevbsSWBgICtXriQhIYFSpUrh5eXF0KFDAShcuDC9evXi+PHj7N+/H4VCgZWVlSqIpNSlSxcKFy5MQEAAM2fOxNDQkObNm/P111+r7cBWuXJltm7dyoIFC9i+fTvR0dGYmppiZ2fHsGHDVOW8vLw4fPgwx48fJyUlhTJlyjBq1Kgc81RYWFiwZs0aJk+ezNKlSzExMcHT0xMLCwu+//57tbLt27fHwsKCpUuXsnz5clJSUihZsiQuLi506dIlx+euZs2aBAYGsnz5coKDg9m5cye6urpUrFiRQYMGqQXKChQowNy5c9mxYwebN29m3rx5pKamYmVlxbBhw+jfvz+Ghoaq8n5+fpw+fRpnZ2fVbnRjxoxRC2i9qUaNGtja2rJnzx614JODgwNfffUVGzdu5OjRo2RkZHDo0CEMDQ2ZPHkyZcuWZfv27Rw8eBAzMzMGDx7M8OHDc7z/rOzfvx99fX1at279znUIIYT4d9BRvM1WFkIIIYQQQoiP3o4dO5g0aRLBwcFqQb9/UqdOnahduzbffffdB2lfCCHE+yM5n4QQQgghhBBqOnToQJkyZVi/fv0Haf/IkSM8ePCAwYMHf5D2hRBCvF8y80kIIYQQQgghhBBC5BuZ+SSEEEIIIYQQQggh8o0En4QQQgghhBBCCCFEvpHgkxBCCCGEEEIIIYTINxJ8EkIIIYQQQgghhBD5RoJPQgghhBBCCCGEECLfSPBJCCGEEEIIIYQQQuQbCT4JIYQQQgghhBBCiHwjwSchhBBCCCGEEEIIkW8k+CSEEEIIIYQQQggh8o0En4QQQgghhBBCCCFEvpHgkxBCCCGEEEIIIYTINxJ8EkIIIYQQQgghhBD5RoJPQgghhBBCCCGEECLfSPBJCCGEEEIIIYQQQuQbCT4JIYQQQgghhBBCiHwjwSchhBBCCCGEEEIIkW8k+CSEEEIIIYQQQggh8o0En4QQQgghhBBCCCFEvpHgkxBCCCGEEEIIIYTINxJ8EkIIIYTIwpkzZ/Dz8+PmzZsfuitCCCGEEP9ZEnwSQgghxEfHy8sLW1vbPNXx+PFjhg0bxo0bN6hSpco71eHj44OtrS2PHz/OU1/EP+v06dPY2tri5+f3obvy3vyT9xQfH0+fPn1wcnJi7NixPHz4kHHjxjFs2LB8bzsvHj9+jK2tLT4+Ph+6K0II8dEp+KE7IIQQQvzbvG3Q4tatW/nUk6ydOXOGw4cPc/XqVa5fv058fDydO3fG19c3y2syMjJYv349v//+Ow8ePMDQ0JD69eszevRoypUrl+u2lc+Pnp4eR48epXjx4hplYmJiaNSoEcnJycCHeY7yIiUlhZEjR2Jtbc3s2bMpUKDAh+7SJ83d3Z0nT54AEBgYiI2NjUaZ9PR0mjRpwosXLwA4dOgQZcuW/Uf7mZNt27bx7bffZlsmp5/j/4Ldu3dz7do1unXrxpEjR2jRogUFCxbE39//Q3ftXyEtLY2dO3eyd+9erl+/TkxMDIUKFaJChQo0bNiQHj16YGlpqXHdgwcPWLVqFSdOnCA8PBwdHR3Kli1Lw4YN6devHxYWFh/gbv459+/fZ+/evRw9epQHDx4QHR1NiRIlqFOnDoMHD6ZSpUpar3vx4gVz587lyJEjxMTEUKZMGTp16sSAAQPQ09NTlVMoFBw5coTDhw9z/vx5nj59SlpaGuXLl6dNmzb069ePQoUKadS/du1arl+/ztWrV7l79y7p6emsWbOGOnXq5NtzIcR/kQSfhBBCiDcMHz5c49jq1auJi4vTeu5D2Lp1K9u3b8fAwIDSpUsTHx+f4zU//vgjmzdvpkqVKnh5efHixQv27NnD8ePH2bRpExUqVMh1+wULFiQ1NZXAwEA+//xzjfOBgYEkJydTsGBB0tLS3ubW3otp06aRmJj4ztf/+uuv/P333/z2228ULlz4nesZM2YMAwcOpGTJku9ch8ikq5s5YX/r1q1aAzhHjhzhxYsX72XMOTg4sHv3bq2B1fehXr161KpVS+u5atWq5Uub+X1Pr2vSpAm1atWiUqVKfP/999y7dw9jY2NKlCiR723/2z158oShQ4dy8+ZNzMzMqF+/PqVLlyYhIYHr168TEBDAihUrCAoKonz58qrrtmzZws8//0xaWhp169bF3d0dhULBxYsXWbFiBRs3bmTu3Lm4ubl9wLvLX/PmzWP37t3Y2NjQrFkzjIyMuH37Njt37mTfvn0sW7YMV1dXtWsiIiLo0aMHz58/p0WLFpQvX54zZ84wd+5cLl++zMKFC9HR0QEyv3QYNGgQ+vr61K5dm4YNG5KSksKxY8eYM2cOBw8eZO3atRgYGKi1MXnyZADMzc0xNTUlIiLin3lChPivUQghhBAiR02bNlXY2Nh86G6oXL58WXH79m1FWlqa4sKFCwobGxvF+PHjsyx/8uRJhY2NjaJ3796K5ORk1fHg4GCFjY2Non///rlu28bGRuHh4aFo2bKlomPHjlrLdOrUSeHh4aHw8PD4Vz1v4r+padOmiho1aij69eunqFu3riIlJUWjzLBhwxS1atVS9O7dW2FjY6N49OjRB+hp9rZu3aqwsbFRLFmy5EN3RWjx6NGjHN9L8yIuLk71njht2jS192Kl+/fvKwYPHqy4fv266tjhw4cVtra2ijp16ijOnTuncc3BgwcVDg4Oiho1aiiuXr2aL33/N9i6davi2rVrGseDgoIUNjY2ijZt2mic++abbxQ2NjaKDRs2qI5lZGQoRo8erbCxsVEEBgaqjqekpCgWLlyoiI6OVqsjJSVFMXjwYIWNjY0iICBAo40///xT8eLFC4VCoVD88MMPChsbG8WpU6fe+T6F+FhJzichhBAiD6KiopgyZQru7u7UqFGDevXq8dVXX3H79m2Nssr8P48ePSIgIICWLVtib2+Pu7s7CxYsIDU1Ndft2tvbU6VKlVwvB9u8eTMAX331Ffr6+qrjbm5u1K5dm2PHjvH06dNctw/QtWtXbty4wbVr19SO37x5k+vXr9OlSxet1/n5+WFra8vp06c1zm3btg1bW1u2bdumOvZ6HpYHDx4wbNgwXF1dcXR0pG/fvlqTgWeX8+ngwYP079+fOnXqqJ7/r7/+Wu0109bH1/sRGhrKoEGDcHFxwcnJif79+3P16lWNtrLL+bR161a6d++Ok5MTTk5OdO/eXe2+X7dv3z769OlDvXr1sLe3p2HDhvTt25d9+/ZpLa9NZGQkvr6+eHh44ODgQO3atenevTvLly/XKHv48GG8vLyoVasWDg4OdOjQgZUrV2rMKHr9Obl79y6DBw/GxcUFV1dXxowZQ1RUFAAXLlzgiy++wNnZGVdXV77//nsSEhJy3Xelrl27EhUVxZ9//ql2PCoqiuDgYNq2bat1WUxKSgpr167F29sbNzc31c/q8OHDuX79ukb5rPIj3b9/n2+//Vb18167dm06dOjAlClTUCgUb30/OXm9H+fPn8fLywsnJyfq1q3Lzz//TFJSEgDBwcH07NkTR0dH6tevz/Tp0zVeq7ze04sXL5g8eTItW7bEwcEBFxcXWrduzY8//khcXJxanW/zvgiZr8/KlSvp3Lkzjo6OODk58dlnn3Ho0CGNsnFxccybN482bdrg5OSEs7MzLVq0YPz48aqlmTlJT09n6dKltGjRAnt7e1q0aMGSJUuyfQ0jIyP59ddfadGiBTVq1KBOnTqMGDEiy3vSZsWKFYSFhdGhQwe++eYbtfdipfLly7N48WLVErK0tDR++eUXFAoFs2fPxtnZWeOaZs2a8f3335OSksKvv/6a6/7kRKFQsGXLFjw9PXF2dqZmzZp06dKFLVu2aJR9/T1z69attG/fHgcHB9zd3VmzZo2qvhUrVuDh4YG9vT0tW7Zkx44due5Ply5dsLOz0zjetm1bKlSowJ07d1TvOZCZe2z37t2UK1cOT09P1XEdHR3Gjh0LwO+//646rqenx5AhQzA2NlarX09Pj8GDBwOZS97f1KRJE8zNzXN9H0J8qiT4JIQQQryjqKgoevbsyZo1a7C0tKRfv37UrVuXAwcO0KNHD86ePav1uilTprBs2TLq1atHnz590NfXx8/PT/XHcH44ffo0hoaGWj+4NGrUCIC//vrrrers1KkTBQoU0AiYbNmyhQIFCtCpU6d37q82T548oUePHsTExNC1a1fq16/PyZMn+fzzz3n58mWu6vD19WXYsGFcu3aNZs2a0bdvX5ydnTl58iQnTpzIVR2PHj2iV69eJCUl0atXL9zd3Tl9+jR9+vTh0qVLuapj8uTJfPfdd4SHh9O1a1e6du1KeHg43377rWoJh9KGDRsYOXIk9+/fp0WLFvTr149GjRrx8uVLDhw4kKv27t27R8eOHVm5ciUlSpTAy8uLdu3aUbhwYZYsWaJWduXKlQwZMoTbt2/Trl07evfuTXJyMr6+vnz11VdaP6A/fvwYT09PUlJS6N69O1WrVuWPP/5g2LBhnD17lr59+2JoaEjPnj0pV64cW7Zs4ZdffslV31/XokULjI2NNcbczp07SU1NpWvXrlqvi4mJ4ddffyUlJQU3Nzf69u1L7dq1CQkJwdPTk8uXL+fYdnh4ON27dycwMJBq1arRt29f2rdvj7m5Ob/99hvp6elvfT+5denSJfr27UvRokXx9PSkTJky/Pbbb0yYMIHdu3czcuRIypQpQ8+ePSlatCjLly9n8eLF7+2eEhMT6dWrF+vWraNcuXL06dOHzp07U6FCBXbt2qX2gf9t3xdTUlLw9vbG19cXhUJBt27d6NChA0+fPmXo0KGsW7dOVVahUODt7c3ChQsxNjamR48e9OzZk2rVqnH48GEePHiQq+fzhx9+YNasWWRkZNC7d28aNmzIypUrmTJlitbyDx8+pEuXLqxevRorKyu8vLxwc3Pj6NGj9OzZM9c/91u3bgXIVeJ1ZWDq9OnTPHnyRBVYzErXrl2xsLDg7NmzuX4esqNQKBg3bhzff/89r169ol27dnTv3p3ExES+//57pk2bpvW61atXM3XqVOzs7OjRowdpaWlMmTKFzZs3M2nSJJYvX46Liwtdu3YlOjqa8ePHaw3ovC1l7qaCBf+XVebixYukpKRQv3591dI6JUtLS6ytrTl//nyufnaV9Ur+PyHeneR8EkIIId7RjBkzePjwIYMHD2bMmDGq4yEhIQwaNIjvvvuOvXv3qnLVKF26dImdO3dSqlQpAEaPHk3//v3Zt28f+/btw8PD4732MyEhgYiICGxsbLT+4azMK/K2H1gsLCxo3LgxQUFBjB8/Hn19fVJSUggMDKRx48bvPfntX3/9xdixYxk0aJDq2Ny5c1m0aBHbtm1TO67Nn3/+ycqVK7GxsWHNmjVquW/S0tKIjo7OVT/Onj3LoEGD1IKFyuS1EyZMIDAwMNvrz5w5w9q1a6lUqRKbNm2iaNGiAIwYMYIePXqwdu1aWrVqhYuLC5AZzNPT02Pnzp0aOXNevXqVqz5//fXXRERE8Msvv9CjRw+1c8+fP1f9++HDh8ycOZMSJUqwdetWSpcuDWSO0b59+3Lw4EF27typEVg8c+YM3333HV988QWQ+cF18ODBhISEMGTIEGbNmkXz5s0BVEGiXbt2MXbsWMzMzHJ1D5D5gbx9+/Zs3LiRiIgI1WyDrVu3YmNjg4ODg9brjI2NCQ4O1si9FRoaSo8ePZgzZw4rV67Mtu39+/cTGxurdp9K0dHRah96c3LixAlVMv43tWnTRiNx8tGjR/H399d4DoOCgjh27Bjr1q1T3fuIESNo2bIla9euZfDgwWoJld/1nk6ePMnjx4/54osv+O6779TK/f3332ptvO37or+/P3/99RdDhw5l5MiRqiBBfHw8X3zxBb6+vrRo0YKSJUty+/ZtLl26RPPmzTWSl6ekpORq9qhyZk7VqlX57bffMDQ0BODLL7+kY8eOWq/55ptviIiIYNmyZapgPcCQIUPo2rVrrn7unzx5wvPnzylVqtRb5de7cOECAHXr1s22XIECBahduzZBQUFcuHBBLV/Uu9i8eTNBQUF06dKFSZMmqV5j5WYMK1asoG3bttSoUUPtunPnzrF9+3bVJhbe3t60aNGCadOmUaJECQIDAzE1NQUyk+v36NGD5cuXa+RqehuXL18mNDQUe3t7ihUrpjqu/J2W1fNdoUIFwsLCePr0aY6bbigDhw0aNHjnfgrxqZOZT0IIIcQ7SElJ4Y8//sDExIQhQ4aonXNzc6NBgwY8ePCA8+fPa1z7+eefqwJPkPmBetSoUQBs3779vfdVuSTGyMhI63nl8TeXzuSG8tvrgwcPAplL2qKjo+nWrds79jZrZcuWZcCAAWrHlO1cuXIlx+s3bNgAwPfff6+RdLlgwYK5DoIUK1aML7/8Uu1Yo0aNqFevHrdv39a6/O51ytd4+PDhqsATZAZIlAnt35zZo6enpzW4kZvk0ZcvX+bq1au4urpqBJ4AtbEYGBhIWloa/fr1UwWeIHOMjhs3Tq3/r7OyslJLPK+jo0ObNm2AzATayqCJ8l48PDxIS0vjzp07Ofb/TV27diUtLU3Vj0uXLhEaGprlrCdl/7Ulfa9SpQp16tThzJkzuV72qi0BvYmJSe46//9OnjzJggULtP4XFhamUb5OnTpan0OFQkHTpk3Vgm5GRkY0adKE6OhotcDi+7gnbeWKFCmimqXztu+LGRkZ/Pbbb1hZWakFnpT3MWzYMFJTUzVm+Gnrh76+PkWKFMnxXpXLvIYNG6YKPAGULFlS6+YJ169f58KFC3Tq1Ekt8ARgbW1Njx49uH37do7L75SzM1//ecsNZfLq138es6Iso7zm2LFjdOvWjfbt29OsWTP69eundZmyNuvWrcPQ0JCffvpJLbior6/P6NGjAfjjjz80rvPy8lIL5JQuXZpatWoRFxfHkCFDVIEngJo1a1KuXLk87YYaFxfH+PHj0dXV5euvv9Y4B6i9z75OOV5y+t0XEhLCpk2bqFSpEt27d3/nvgrxqZOZT0IIIcQ7uHfvHsnJydSpU0dj5xvI/LB4/Phxbty4oZrBovTmYwAnJycKFiyoNf/Mv1mTJk1Us2TatGnD1q1bKVGiBE2aNHnvbVWrVk1jFpnyg1xsbGyO11++fFm1i1Fe+6HtQ66LiwsnT57kxo0bGrMBXnfjxg0ArdtwK4+9/gGxTZs2zJgxg3bt2tGuXTvq1q1LrVq1sgwmvkm5pCw339hn1zcnJycKFSqk9cOrra2txrIW5cw3bbu3Kc+9ePEixz69yc7OjmrVqqlmu23duhU9PT06dOiQ7XU3btxg2bJlnDt3jpcvX2oEm169epXtbL2mTZsye/ZsJk2axMmTJ2nUqBG1a9fOccaENm/O4MtJds+htnPKGWEvXrzItn+5vSdXV1fMzc1ZunQpN2/epEmTJtSuXZtKlSqpve5v+74YFhZGTEwMFhYWLFiwQKO8cjnfvXv3AKhUqRK2trYEBQXx/PlzmjdvTu3atbW+N2RFGejQ9j6s7djFixeBzJxPb+bLer1v9+7dw8bGJld9+KeYmZkxZ84cypUrR2pqKqNGjWLw4MEEBwdr/Ly+LjExkdu3b2NhYUFAQIDGeWU+MeW9vy678Vi1alWt53Kz7FWbpKQkhg0bxr179xg9erTW9628unz5MqNHj6Zo0aLMmzdPa54uIUTuSPBJCCGEeAfx8fEAWc6WUf6xrSz3Om3bjRcoUAATE5N3mn2UE+W3vtr68vrxrL4dzo7yQ//q1as5f/48J06coG/fvm+1BCm3tAVblO1kZGTkeH18fDwlS5bM9YfUrGT1mitf15xew/j4eHR1ddVmALxet46Ojtpr5e3tjYmJCb/99hsrV65kxYoVFCxYEDc3N7799tscgx/K/mib+aOtb6/fy+t0dHQwMzMjPDxc45y210a5xDO7c28mxc6trl27MnnyZE6cOMEff/yBu7u71udT6fz586plZQ0aNKBChQoYGhqio6PDwYMHuXnzJikpKdm2WbZsWTZt2sSCBQsICQlhz549AFSsWJGRI0fSunXrd7qX3Hjb51f5c5HT85vbeypatCi///478+fP588//yQkJATInNUycOBAevfuDbz9+6JyqWtoaCihoaFZ9jMxMVF1X6tXr2bBggXs27cPX19fAExNTenduzdDhgzJMSdPXFwcurq6WmcNahv3MTExQGZS9+Dg4Bz7mBXlc6Lt5yc7yufs2bNnOZZVltEW7NHT06NmzZocOnSI+Pj4bN/vY2NjUSgUhIeHaw0KKmnbNCC78ZjVuXd5H0hOTmbo0KGcPn2awYMHa8xGhf/9TsvqPfnvv/9WK/emK1eu4O3tja6uLsuWLaNKlSpv3U8hxP9I8EkIIYR4B8o/orNKdK08ru2P7cjISCpWrKh2LD09nejoaK0ffvLK0NAQc3NzHj9+THp6usaHM2VejHfNEdKtWzdWrlzJqFGjyMjIyHHJnfIbd21JXvMj+KZUtGhRIiIiyMjIyFMAKqvXPDIyUtVOdoyMjMjIyCAqKkrj9Y6MjEShUKiNGx0dHbp160a3bt149eoV586dIygoiD179vDgwQN27dqV7QduZQ6U3HzoVbYbGRmJpaWl2jmFQsHLly9zPeMqP7Vv357p06fj4+NDfHx8tkvuABYvXkxKSgrr16/XmN2inNmSGzY2NsyfP5/U1FSuXbvGkSNHWLt2LaNHj8bCwoJatWq9y+18ULm9pzJlyuDr60tGRga3bt3i2LFjrF27lkmTJmFsbEy7du3e+n1R+X8PDw/mz5+fq/4WL16cH374gQkTJnDv3j1OnTrF2rVr8fPzU9uVLCtFixYlIyODV69eaQQslT/Dr1P28YcffqBPnz656qM2lpaWlCxZkmfPnnH//v1c531ycnIC4NSpU9mWS09PVyXuVl7zuqioKNasWUPLli1zfI9SzuysXr16ljtwfkhJSUkMHTqU48ePM2DAALXcYq9T/k67f/++1vP3799HT09P65LGK1eu0L9/fzIyMlixYkWW+eSEELknOZ+EEEKId1CxYkUKFSrElStXtH7jffr0aUD7EgRtu+BduHCBtLQ0rdtIvw+1a9cmISFBaw6qo0ePArxzwtfKlStTs2ZNwsPDcXR01EiW/CblNtbagiHKZV/5wcHBgZSUlLfe1e9NN27cUH1j/jrl66rtNX+d8rxyjLxO2Tdty1Mg84N38+bNmTt3LnXr1uXOnTs5Joq3t7cH4Pjx49mWy6lvly5dIjk5Ocu+/ZNMTExo3rw54eHhlCxZUiMXz5sePnyIiYmJRuApMTHxnZa66unp4ejoyMiRI/n+++9RKBTZzor5L8jtPenq6lKtWjUGDhzI7NmzATh8+DDw9u+LlSpVwsjIiKtXr+Y655aSjo4OlSpVonfv3qpk8cp+ZMfW1hbQ/j6s7VjNmjWB/yX+zgtlYH7RokU5llXOxKtTpw6WlpZcvHiRkydPZll+27ZthIeH4+LiovFFQnJyMsOGDaNIkSJMnDgxx7aNjIyoVKkS9+7dy9WS5n/S64Gn/v37a+R5ep2joyN6enqcOHFCY5fOJ0+eEBYWhrOzs8ZMXWXgKT09nWXLlqnGgBAibyT4JIQQQrwDfX192rZty6tXrzS2qj9y5AjHjh2jfPnyODs7a1y7Zs0atUTAKSkpzJ07F8jc/Sc/KBNNz5s3T215UUhICH/99RcNGzbUmOnyNn799Vf8/f2z3Kr8dcpgyI4dO9SWy124cCHHHaPyQrk0aMqUKRo726WlpWU5W+NNsbGxGtvYHz16lJMnT2JjY5Ntvif432vs7++vtrwuLi5OtcTl9XFw+vRpjQ9OqampquVAhQoVyrY9BwcH7O3tOXPmDL///rvG+deDgO3bt6dgwYKsWrVK7XhKSgozZ87U6NuHNHbsWPz9/fH3989xJpulpSUxMTFqS7vS09OZNm2aKq9QTq5evap16apytkxOr8O/UW7vKTQ0VOvPh/KYstzbvi8WLFiQXr168eTJE6ZNm6Y1AHX79m1Vfx4/fszjx4+z7Edu8vEod7Tz9/dXWzYWHh7OmjVrNMo7ODhQs2ZN/vjjD3bv3q1xPiMjI9cB7f79+2Ntbc2OHTuYPXu21qWejx49YujQody9exfIfI6UOwyOGTOGS5cuaVwTHBzMlClT0NfX19iNULk8LSoqipUrV+ZqkwLITByemJjIhAkTtC6ve/TokdbXIj8p7+X48eP069eP8ePHZ1veyMiItm3b8ujRIzZu3Kg6rlAoVIHTNzdhuHr1Kv379yctLY2AgACts8iEEO9Glt0JIYQQ7+jrr7/mzJkzLFq0iAsXLlCzZk2ePHnC3r17MTAw4Ndff9X6obhmzZp07NiR1q1bY2BgwJ9//klYWBgtW7bEw8MjV22fPXuWLVu2AP9Lynvu3Dl8fHyAzBkyr/9hXrduXbp3787mzZvp0qULbm5uREREsHv3bkxMTJgwYUKenovKlStTuXLlXJV1dHTE2dmZU6dO0bNnT1xcXHj69CmHDh2iadOmGjtbvS9ubm7079+fFStW4OHhQfPmzSlRogTh4eGcPHmS/v3707dv3xzrcXFx4bfffuPSpUs4OjqqXvPChQszefLkHK93dXXFy8uLtWvX0q5dO1q2bIlCoWD//v08f/4cLy8vtVlow4YNw8jIiJo1a1KmTBnS0tI4ceIEd+7cwcPDI1dBw5kzZ+Ll5cUPP/zAzp07cXR0JDk5mTt37nDjxg3VjBQrKyvGjRuHr68vHTp00BijzZo1y3I7+n9a2bJlKVu2bK7K9unTh2PHjvHZZ5/RunVr9PX1+euvvwgPD6d27dq5Ch7s3LmTTZs24erqSrly5TAyMuLOnTscOXIEExMTunTpkuu+nzhxguTkZK3nzMzM6NWrV67ryovc3tPx48eZMWMGzs7OVKhQARMTEx49esThw4cpVKgQn332marOt31fHDlyJNevX2ft2rWEhITg4uKi+rm8ffs2N2/eZNOmTZQoUYKbN28yfPhwHBwcqFSpEubm5oSHh3Pw4EF0dXVz9fNbt25dunTpwrZt22jfvj0tWrQgJSWF3bt34+joyJ9//qlxzaxZs/jiiy8YPXo0q1evxs7OjsKFC/P06VMuXrxIVFRUrnbcNDIyYvny5QwdOpQlS5awbds2GjRoQKlSpUhMTOTGjRucP3+eAgUKqL1/N2/enEmTJjFp0iQ8PT2pW7cu1apVQ6FQcPHiRc6fP4+hoSF+fn5Ur15ddZ0yIferV6/YsGHDWy3r9vT05NKlS2zfvp3z589Tv359LCwsiIyM5N69e1y6dIlZs2bl+mfwffjpp584fvw45ubmFClSRGsC+M6dO6v1aezYsZw+fZqJEydy8uRJrKysOHPmDBcvXqRp06a0bdtWVTY6Opr+/fsTGxtLo0aNOHHiBCdOnFCrv2jRohrjbOnSpark68oZckuXLlXtyNm8eXO13SqF+FRJ8EkIIYR4R6ampvz+++8sXLiQw4cPc+7cOYyMjGjWrBnDhw/Pcuej77//nj179rBlyxaePn2KhYUFI0aMeKvdrx4+fKix5f3Dhw95+PAhkDnT481vhSdNmoSNjQ2///47a9aswdDQkBYtWjB69GisrKze8u7zZuHChfj6+hIcHMzt27epWrUqixcv5sWLF/kWfAIYP348Tk5OrFu3jn379pGcnIy5uTl169bN1W5wAOXKlePnn39mxowZrF+/noyMDGrXrs3YsWNznPWkNGHCBKpVq8Zvv/2mmo1UuXJlRo4cqZG/aMyYMRw9epQrV67w559/YmBggJWVFT///HOO+bWUKlSowPbt21myZAl//vknq1evpkiRIpQvX54hQ4aole3Xrx9WVlasWrWKXbt2kZqaSoUKFfDx8cHLyyvbXbL+rZo2bcr8+fNZsmQJu3btonDhwtStW1c1cyo32rVrR3JyMhcuXODy5cukpKRQqlQpevXqhbe3N2XKlMl1f06ePJnlEqqqVav+Y8Gn3N5To0aNePLkCWfPnmX//v0kJCRQsmRJ2rRpw4ABA9QCz2/7vqivr09AQABbtmxhx44d7N+/n5SUFMzMzKhUqRKenp6qa2rUqMHAgQP566+/CAkJITY2FnNzc+rXr4+3tzeOjo65uu/JkydjbW3N77//zrp16yhVqhT9+vWjdevWWoNP5cqVY/v27axcuZJDhw6xbds2dHV1sbCwwMXFhVatWuX6Obe0tGTLli3s2rWLPXv2cOzYMWJiYtDX16dChQoMGDAAT09PjTxEPXv2pHbt2qxevZqTJ09y/vx5dHR0sLS0VAXO39xUYPXq1arZZv3791e7f+UM1Kzo6Ojg6+tL48aN2bx5M8HBwSQkJGBqakr58uUZP3489erVy/V9vw9PnjwBICIiIstE6LVr11YLPllYWPD7778zd+5cQkJCOHz4MJaWlnz11VcMGDBA7f0sPj5eNaP06NGjqiXpr7O0tNQIPh09elQjgH3s2DG1ayT4JAToKN6cxy2EEEKIfOHj48P27ds5dOjQP/ptsXg/Hj9+TLNmzejcubNqly0hhBBCCJEzyfkkhBBCCCGEEEIIIfKNBJ+EEEIIIYQQQgghRL6R4JMQQgghhBBCCCGEyDeS80kIIYQQQgghhBBC5BuZ+SSEEEIIIYQQQggh8o0En4QQQgghhBBCCCFEvin4oTsghPjvuXDhAgqFAj09vQ/dFSGEEEIIIYQQH0hqaio6Ojo4OTllW05mPgkh3ppCoVD9J8SbFAoFqampMj6EVjI+RHZkfIjsyPgQ2ZHxIXIiYyR/5PZzocx8EuL/paSk0K1bN1xcXPjxxx8/dHf+1ZQznuzt7T9wT4QQQgghhBDi45OekUEB3X//fKErV67kqpwEnz4yu3btYs2aNYSFhaFQKChZsiTOzs6MGTOGEiVKAJCenk7fvn0JCwtjwoQJ3LlzB11dXYYOHZrn9h8/fkyzZs1UjwsVKoSpqSl2dna0b9+eVq1aoaOjk+d23mRra8s333yDt7d3lmVu3LhBp06dWLNmDXXq1NE4P3fuXIyNjfnuu+9y1abyXufNm0erVq3eue+v69atG507d6Z3794A+Pj4sH37dtV5AwMDrKys8PLyonv37lrrWLVqFVOnTqVr1678+uuvaucyMjJo3bo1w4YNo0OHDnnur2/IIR7GvMpzPUIIIYQQQgghMlkZF8fHrVnOBf9DJPj0EQkICGDWrFn07duXkSNHolAoCA0NJTAwkBcvXqiCT9euXSMyMpLx48czZ84cEhISWLt27Xvty5gxY6hTpw6pqak8ffqUQ4cOMWrUKNzd3fHz86Ngwfc79DZt2kSZMmXe+fqzZ8+yd+9etmzZkuu+WVhYsGnTJipUqPDO7b7uwIEDPHnyhK5du6odL1euHDNnzgTg77//5sCBA0yYMAFDQ0Patm2rUc+uXbtU9f3888/o6+urzunq6jJo0CD8/Pxo06ZNnl+HhzGvuBP5Mk91CCGEEEIIIYT4uEnw6SOydu1aOnfujI+Pj+qYm5sbAwYMICMjQ3XMwcGB3bt3A9C+fft86Uv58uVxdHRUPe7YsSObNm3ixx9/JCAggCFDhrzX9l5v6124uLhw+PDhXJdPSkqicOHCeW73datXr6Zt27YULlxY7fib7TRo0ICLFy+yf/9+jeBTWFgY165do379+pw4cYLg4GBatmypVqZNmzZMnjyZ4OBgmjdv/t76L4QQQgghhBBCaPPvX0Aoci02NhYLCwut53RfWyu6Y8cOevXqRe3atXF1dcXLy4vLly9rXHPmzBk8PT1xcHCgTp06fPvtt0RHR79z/3r27Im9vT3r169XO3737l2GDBlCrVq1cHR0ZNCgQTx8+FCtzJYtW2jbtq2qL7169VLrs62tLcuXL1e7ZuHChTRo0AAnJyeGDx9OZGSkRp8UCgXLly/Hw8ODGjVq0KxZM1atWqVWxs/PDycnJy5fvqx2D48fP8bW1pa9e/eqymZkZLBw4ULc3d2pUaMGrVq1YuPGjTk+N48ePeLs2bO5Xr5XpEgR0tLSNI4HBQWho6PDpEmTMDMzIzAwUKOMgYEBbm5uasv5hBBCCCGEEEKI/CLBp49I9erV2bhxI5s3byYiIiLLco8fP6ZTp07MmzePmTNnUrp0aXr37k1YWJiqzNWrV+nXrx9FihRh3rx5jBs3jj///JOBAweSnp7+zn1s0KABERERPHnyBMgMunh6ehITE4Ovry8zZ84kKiqKvn37kpKSAmQGwb7//nsaN27M0qVLmTZtGvXq1SMuLi7LdtatW8e8efPo0KED8+fPp1y5cnz//fca5aZMmcL8+fPp1KkTS5cupXPnzsycOZPffvtNrVxqaipjx46lQ4cOBAQE0KBBA63tTp8+nQULFtC5c2cWL15Mw4YN+emnn1i3bl22z8upU6coWLAgDg4OWs+npaWRlpZGbGwsW7Zs4fz583h4eGiUCwoKwsXFhXLlytG6dWuCg4O1Pk9OTk6cOnVKbUacEEIIIYQQQgiRH2TZ3Ufkp59+Yvjw4UyYMAGAsmXL0rRpU/r27UvZsmVV5YYPH676d0ZGBg0aNODy5cts376dMWPGALB48WLMzc1ZvHixamez0qVL4+3tTUhICO7u7u/Ux9KlSwPw8uVLLC0tWbBgAcbGxqxcuZJChQoB4OzsTLNmzdi8eTO9e/fm8uXLmJiYMH78eFU9TZo0ybKN9PR0lixZQseOHVXXNGrUiMjISHbu3Kkq9/DhQ9atW8fEiRPp2bMnAPXr1ycpKQl/f3969uypmjGWmprK6NGjadOmjer6x48fq7UbFRXFunXr8Pb2ZsSIEQA0bNiQV69e4e/vT69evShQoIDWPl+5coUKFSqo5WdSCg0NpXr16mrH+vfvr5Ew/PLly9y/f59+/foB0K5dO9auXcu+ffvo1q2bWtmqVasSHx/P3bt3qVKlShbPpBBCCCGEEEIIkXcy8+kjYmNjQ1BQEEuXLuXzzz+naNGirF27lg4dOnDjxg1Vubt37zJs2DDq169PtWrVqF69OmFhYdy/f19V5uzZszRr1kwVeILMQEqxYsU4d+7cO/dRoVAAqHa8O378OO7u7hQoUEA1u6dYsWLY2dlx9epVAOzs7IiOjsbHx4fjx4+TmJiYbRvPnz/nxYsXtGjRQu34mzOFTpw4AUDLli1VbaelpVG/fn0iIiJ49uyZWnk3N7ds2718+TKpqakaS+dat25NVFSU2vP7phcvXlC8eHGt56ysrNiyZQtbtmxh3bp1jBo1irVr17JgwQK1ckFBQejp6anad3R0pFy5clqX3inbym6GnBBCCCGEEEII8T7IzKePjL6+Pm5ubqpAydGjRxk8eDD+/v4sWLCA+Ph4+vfvj6mpKT4+PpQpU4ZChQoxYcIEkpOTVfXExsaqdsd7XYkSJYiJiXnn/j1//hwAMzMzAF69esXq1atZvXq1Rlll4KtevXpMnz6dNWvW4O3tTaFChfDw8OC7777DxMRE4zplQMXU1FTtuLJNpVevXqFQKKhbt67Wvj579gxLS0sgM09SkSJFsr035fPyZjvKx9nly0pJSdE66wmgUKFC2Nvbqx67uroSGRnJ4sWL6dOnDyYmJmRkZLB7925q166Nrq4usbGxADRr1ow1a9YQHh5OyZIlVXUo20pKSsr2noQQQgghhBBCiLyS4NNHrlGjRlStWpW7d+8CcPHiRZ4/f86SJUuoWrWqqlxcXBylSpVSPTY2NtaaoDsyMhJjY+N37s+xY8coWbIkZcqUUbXj5ubGZ599plH29WBPx44d6dixI1FRURw6dIipU6dSsGBBfv31V43rzM3NgcxlcK97+fKl2mNjY2N0dHTYsGGD2gwvJWtra9W/lTO1sqMMhEVGRqoFepTtaguUvd4XZR6s3KhYsSKpqak8ePAAExMTTp06RUREBBEREbi6umqU3717t2o5HqAKTmXXJyGEEEIIIYQQ4n2Q4NNH5OXLlxqzbpKSknj27BmVK1dWPQbUgi3nz5/nyZMnarl/atWqxaFDh/Dx8aFgwcxhcvz4cWJjY6lVq9Y79W/Tpk1cvXqVsWPHqo7Vq1eP0NBQ7OzsssyH9DpTU1O6d+/OkSNHuHfvntYypUqVwtzcnAMHDqgtvdu3b59auXr16gGZM5LeNYfV6+zt7dHT02Pv3r3Y2dmpju/Zs4cSJUpQoUKFLK+1trbm9OnTuW4rNDQU+N/yucDAQAwNDVm4cKHazoYAv/76K4GBgWrBJ2WgK7s+5YaVsfalgkIIIYQQQggh3s3H+DlLgk8fkfbt29O0aVMaNmyIhYUF4eHhrFu3jlevXvHFF18AmXmADA0NmThxIoMGDSI8PBw/Pz+1mToAX375JZ6engwePBgvLy9evnzJrFmzcHBwyDH3EcCDBw+4ePEiaWlpPH36lIMHD7Jv3z5atGiBt7e3qtzIkSPp1q0b3t7e9OjRAzMzM16+fMlff/2Fi4sL7dq1Y/78+URHR1O7dm1KlCjB7du3OXr0KH379tXadoECBRg0aBBTpkyhRIkSNGjQgOPHj2sEd6ytrenduzfffPMN3t7e1KxZk9TUVO7fv8/p06dZuHDhWz3/pqam9OnTh+XLl6Ovr4+joyMhISEEBQXxww8/ZBtcc3Z2xt/fn+fPn6vNQIPMgOHFixdV/z579iybN2+mQYMGWFlZkZyczIEDB2jZsqUqoPa6rl27MmXKFO7du0fFihWBzN0MK1WqpLE08W35uDXL0/VCCCGEEEIIITSlZ2RQQPfjSdMtwaePyPDhw/nzzz/x9fUlKiqK4sWLY2try6pVq1R5jczMzJg3bx7Tp09n6NChVKhQgYkTJ7Js2TK1umrUqMGKFSuYPXs2I0aMwNDQEHd3d8aPH5+rGUqzZ88GMnMLmZqaYmdnx7x58/Dw8FBbwla+fHk2b97M3LlzmThxIgkJCZibm+Pq6oqtrS2QOaNo9erV7Nmzh/j4eEqVKoW3tzdDhgzJsn0vLy9iY2PZsGEDv/32G/Xq1WPy5MkMGDBArdyECROwtrZm06ZN+Pv7U6RIEaytrTWShufWN998Q9GiRdmyZQuLFy/G0tKSiRMn4unpme11tWvXxsTEhCNHjtCjRw+1c48ePVLtxqenp4elpSXe3t4MHDgQgODgYOLi4ujUqZPWutu1a8f06dMJDAzkq6++AuDIkSMaCdjfVkpKComJiRgYGOSpHvHxSUxMJCwsDGtraxkfQoOMD5EdGR8iOzI+RHZkfIic/NfGyMcUeALQUSi3HxNCfFC+vr5cv36dNWvW5Gs7oaGhdOzYkX379lGuXLl3quPKlSukpKRgZ2f3n3jjFv+s/9ovdvHPkvEhsiPjQ2RHxofITkJCAjdu3KBatWoYGhp+6O6IfyEZI/njypUrAGqbZGnzcYXSsuHn54etra3Gf+3atfvQXftX6tixIz4+Pnmu5/Tp02rPt6OjI+3bt2f16tWkp6erlfXy8mLw4MF5bvPx48dqbTo4ONC2bVuWLVtGampqnusH2LZtG4GBge+lLqX+/ftz5swZxo8frzr25ri1t7endevWBAQEkJGRobWeAwcOYGtrq1pqqa0dW1vbdw48Kenr68sffkIrAwMDCUyKLMn4ENmR8SGyI+Pj/UnP4u9IIYTIL5/UsrvChQuzevVqjWMi/02dOpWKFSsSFxfHjh07+PXXX0lOTmbQoEGqMj/99JNGsuy8GDNmDHXq1CEhIYH9+/czY8YMYmJi1BKev6vt27djaGhI+/bt30NPM0VERKCrq0vjxo3Vjr8+bpOSkjh9+jSzZs1CoVCoPX9KyqDYX3/9RXh4uFo+r4yMDBo3bszevXuJiYnJ086FAL4hh3gY8ypPdQghhBBCiH+OlXFxydsphPjHfVLBJ11dXRwdHd9rnUlJSRLAyoUqVaqopuE1aNCA69evs3XrVrXgiXJHvvelfPnyqte7fv36hIWFsW7duiyDTx/6tVyzZg2NGzembdu2asffHLd169bl9u3b7N+/XyP4FB8fT3BwMPXr1+fEiRPs3r1bbZc7XV1dpkyZwqlTp9i+fXuWSdtz62HMK+5EvsxTHUIIIYQQQgghPm6fzLK73Lh16xbe3t44OjpSq1YtRo4cydOnT9XK2NrasnTpUmbMmEGDBg1Uu4u5u7szadIkVq1ahZubG05OTvj4+JCSksKNGzfw9PTE0dGRbt26cevWLbU6k5OTmTp1Kg0bNsTe3p6OHTty4MABtTKhoaEMHDiQOnXqULNmTTw8PAgICFCdv3DhAl9++SUNGzbE0dGRjh07smPHjlzd9/nz5+nSpQv29va0a9eOkJAQreX2799Px44dsbe3p2HDhkydOpXk5ORctfE6XV1dbG1tefbsmdpxbcvuzpw5g6enJw4ODtSpU4dvv/2W6Ojot24TMpOoJyQkEBUVpVoOGBwczMiRI3F2dlYl446NjeXnn3+mYcOG1KhRgy5dunDs2DG1fv71118EBwerlsP5+fmpzm/cuBEPDw9q1KiBu7s7CxcuzHKJnJJydlZuk4AXKVKEtLQ0jeP79+8nOTmZ4cOHU7169SyXBrZq1SrX40MIIYQQQgghhMiLT2rmE6Dxgb1AgQLo6Ojw7Nkz+vTpQ7ly5ZgxYwbJycnMmTOHPn36sGvXLoyMjFTXrFmzhpo1azJlyhS1+g4dOkSVKlWYNGkSjx49wtfXFz09PS5evEjfvn0xMzNj5syZfPXVV+zevVu1xGzcuHEcPXqUUaNGUbFiRXbu3MmIESPw9/enWbPMKbFffvklZmZmTJkyBSMjIx4+fMjz589VbT99+hRnZ2d69eqFvr4+58+fZ8KECSgUCjp37pzl8xEREYG3tze2trbMnTuX2NhY1a5z1apVU7u3kSNH0rZtW8aOHcu9e/eYM2cOz549Y/78+W/9Ojx9+pSyZctmW+bq1av069ePOnXqMG/ePF6+fMmsWbO4c+cOGzduzNWue697/Pgx+vr6mJiYqI798MMPdOjQAX9/f3R1dUlJSaFfv35ERkYyatQoSpYsya5duxg8eDDbtm3D1taWn376ia+//prChQur8jOVKlUKgLVr1zJ58mS8vLxo0qQJFy5cYMGCBcTFxanlcnrTxYsXSUhIoFatWlrPK8eZctnd/v37tebHCgwMxNLSEmdnZ9q3b4+vry/37t2jYsWKauWcnJxYtmwZUVFRmJqavtXzKIQQQgghhBBCvI1PKviUkJBA9erV1Y5Nnz6djh07smrVKtLS0lixYoUqOFGtWjXatm3L9u3b8fLyUl1jbGzMggUL0NHR0Whj4cKF6OvrA5k5d37//XcCAgJUeXwyMjL48ssvuX37NlWrVuXmzZvs37+fiRMn4unpCUDjxo158uSJKvgUFRXF48eP+f7773F3dwcyl1697vWlWgqFAldXV8LDw9m0aVO2wafVq1ejo6NDQEAARYsWBTIDKW8ux1qwYAGOjo7MmjVL1UcDAwN+/PFHbt26ha2tbZZtKO87LS2NuLg4tm3bxuXLl5k9e3a21yxevBhzc3MWL16Mnp4eAKVLl8bb25uQkBDVc5FTm4mJiezbt48DBw7QunVrtbxS7u7ufP3116rHW7du5ebNm+zcuVO1DLBRo0Y8ePCAhQsXMm/ePCpXroyRkRGGhoZqy+HS09Px9/enbdu2TJgwAYCGDRuSmprKihUrGDRoEMWLF9fa1ytXrmBoaKg1Cbi2cdumTRuNJXcRERGcPn0ab29vdHR0aNOmDdOnTycwMFA1q0upatWqAFy+fJkmTZpk+zwKIYQQQgghhBB58UkFnwoXLsy6devUjik/7J89e5Y6deqozYqpVKkSVatW5dy5c2rBp8aNG2sNPLm6uqoCTwAVKlRAV1dXLVBUoUIFAJ49e6aqGzKXQb2udevWTJ06lYSEBIoXL46lpSWzZ88mJiaGevXqqWbaKMXExODn58ehQ4cIDw9X7ST3+v1oc+nSJerUqaMKPAHUq1dP7bq///6bGzduaMzcadOmDT/++CPnzp3LMfjUo0cPtceDBg2iTZs22V5z9uxZ2rVrpwo8QWYwp1ixYpw7dy7H4NPo0aNV/9bR0aFVq1aqoJDSm4GX48ePY2NjQ4UKFdRmtdWvX59du3Zl2969e/d49eqVxmvZpk0blixZwuXLl3Fzc9N6bURERJaBqdfHbUpKCteuXWP+/PlMmDCBqVOnqsrt3r2b9PR01Q6OJUuWxNXVlaCgII3gk7KtiIiIbO9JCCGEEEIIIYTIq08q+KSrq6tKev2m2NhYtWVmSiVKlCAmJkbjmDbFihVTe6ynp0fhwoXVAlLKQIoyV1JMTAx6enoaQSIzMzMUCgVxcXEYGhqyfPly5syZw6RJk1QzYb799ltcXV0B8PHx4cKFCwwbNkw1M+e3335jz5492TwjmcGH8uXLaxx/fSlWXFwcCoVC476LFi2Kvr6+xvOjzbRp06hUqRJRUVEsWbKEgIAAXF1dNXZ2e11sbKzW51rba6LNuHHjqFu3LgYGBlhaWmrdlvfN+l+9esX169c1ZhoBOS7zU/bpzTqVj7Prc3Jysto4ed2b47ZWrVqkp6fj6+tLv379sLGxATKX3FlbW1O6dGliY2OBzJldU6dO5dKlS9SsWVNVh7KtpKSkbO9JCCGEEEIIIYTIq08q+JQdY2NjIiMjNY5HRkaqZispaZv1lJd2U1NTNba9f/nyJTo6OqoZSdbW1syfP5/U1FQuXLjA7Nmz+fLLLzly5AgFCxYkODgYHx8ftRlaGzZsyLF9c3NzrfcdFRWl+nfRokXR0dFROwaZQamUlBS1fmelUqVKqgCKi4sLrVq1Ytq0aTRq1CjL5zO71yQ3bZYrVy7LYKPSm20bGxtja2vLlClTcqz/TcoA4pvPk/IesuuzsbExcXFxuW5LmcPpzp072NjY8ODBA65cuQKgCki+LjAwUC34pGwrp5lxQgghhBBCCCFEXslud/+vVq1anDp1Sm12yr1797h161aWSaDfV7sAe/fuVTu+d+9e7OzsMDQ0VDuup6dH7dq1GTRoEPHx8bx48YKUlBQyMjLUlqfFx8dz+PDhHNt3cHDg9OnTaoGPkydPqu0oV6RIEapVq6bRR+Wsqrd9fooUKcLIkSO5c+cOBw8ezLJcrVq1OHTokNryt+PHjxMbG5tvr0n9+vV59OgRFhYW2Nvba/ynpKenp7HTn7W1NaamplqfJz09PRwcHLJs19ramqioKBISEnLVz9DQUOB/y+cCAwPR0dHB39+fNWvWqP3XsGFD1ZI8pcePH6vaFUIIIYQQQggh8pPMfPp/ffv2Zdu2bfTv358hQ4aQnJzM3LlzKV26dLYJu/OqatWqtGzZEl9fX5KSkrC2tmbXrl1cuHCBhQsXAnDz5k2mTZtGmzZtKFeuHPHx8SxZsgRLS0usrKwoUKAA9vb2BAQEYGpqSsGCBVm6dClGRkYas3De9MUXX7BhwwYGDhzIwIEDiY2Nxc/PT2NGzPDhwxk2bBjjxo2jQ4cOhIWFMWfOHDw8PHLM96RNp06dWLx4MQEBAbRo0UJrmS+//BJPT08GDx6Ml5eXarc7BweHLHMn5VWnTp3YuHEjn3/+Of3796dChQrExcVx/fp1UlNTGTt2LJA582jHjh0cPnwYc3NzLCwsKFmyJEOHDmXy5MmYmpri5ubGxYsXCQgI4IsvvsgypxOAs7MzGRkZXL9+HRcXF7VzGRkZXLx4EYDU1FSuXbvGokWLqFy5sqpsUFAQLi4uNG/eXKPu+Ph4hg4dyokTJ2jUqBGQuZOgoaGh1qWmb8PKOOt7EkIIIYQQ/z7y95sQ4kOQ4NP/K126NGvXrmX69OmMGzcOXV1dGjRogI+PD0ZGRvna9owZM5g9ezYBAQFER0dTsWJF5s+fr0qobW5ujpmZGUuWLCE8PJyiRYvi4uLCjBkzVHmIZs2axY8//oiPjw8mJiZ4eXmRkJDAihUrsm3bwsKCgIAAJk+ezFdffYWVlRU//vgjc+bMUSvXrFkz5s2bh7+/P0OHDsXExIQePXqogjFvS09Pjy+//JIJEyZw+vRp6tSpo1GmRo0arFixgtmzZzNixAgMDQ1xd3dn/PjxOeZfelf6+vqsWbMGPz8/Fi9eTEREBCYmJtjZ2fHZZ5+pyg0cOJCHDx8yfvx4YmNjGT58OCNGjMDLy4uCBQuyatUqfvvtN8zNzRk+fDhffvlltu1aW1tjY2PD0aNHNYJPSUlJ9OzZE4CCBQtSqlQpOnTowPDhw9HT0+Pq1auEhYXh7e2tte7GjRtjampKYGCgKvh05MgRWrRokefn0cetWZ6uF0IIIYQQ/7z0jAwK6MoiGCHEP0dHoVAoPnQnhBCwdu1a1qxZw/79+99rXrE3xcTE0KBBA1auXKk1P1RuXLlyhZSUFOzs7LQmcheftsTERMLCwrC2tpbxITTI+BDZkfEhsiPjQ2QnISGBGzduUK1aNY3UJUKAjJH8osw9nFO+ZQl3C/Ev0b17d5KSknKVqysv1q5di7Oz8zsHnoQQQgghhBBCiLchwSfx3vn5+eHk5PRW13h5eTF48OB86tE/Z+jQoWo7Dr7NczFv3jysrKxITU0FYNu2bdja2qr+q1GjBs2bN2fWrFkkJiZqreP69evY2tpmmUdrwoQJHDt2jAkTJrzlnWnS19eXbx2FVgYGBjIrTmRJxofIjowPkZ28jI/0jIx86JEQQojckpxPQuSj7t275yo5enh4OBs2bGD9+vXUqFFD7dyyZcsoWrQoqampXLlyhblz5xITE8OkSZM06gkMDATg4cOHXLp0iZo1a6qdHzhwIG3btkVfXz8Pd/U/viGHeBjz6r3UJYQQQgiRH6yMi0ueSiGE+MAk+CQ+egqFgtTU1PcWcHkbpUqVolSpUjmW27RpE+XLl9cIPAFUr14dU1NTAFxdXXn+/DmBgYEawaeMjAx2795NrVq1uHr1KoGBgRrBp/Lly+Ps7Mz69ev5/vvv83BnmR7GvOJO5Ms81yOEEEIIIYQQ4uMly+5Evps5cybt27fHycmJRo0aMWbMGF68eKG17I4dO2jevDkODg54eXlx7949tfPJyclMnTqVhg0bYm9vT8eOHTlw4IBaGR8fH9q1a0dISAgdOnTA3t6ew4cPk5CQwKRJk/Dw8KBmzZq4u7vz448/EhcXp3a9u7s7kyZNYv369TRt2pRatWoxdOhQoqKi1MrdvXuXPn36YG9vT/Pmzdm+fbvG/eR22d2OHTvw8PDIsRxAkSJFSEtL0zh+5swZnj9/jqenJ02aNGH37t2kp6drlGvVqhWBgYFa6xBCCCGEEEIIId639zrzKSkpCYDChQu/z2rFf1xkZCSDBw/GwsKCqKgoVq5ciZeXF3/88QcFC/5vCF67do2HDx8yduxYAObOncuAAQPYu3evatbSuHHjOHr0KKNGjaJixYrs3LmTESNG4O/vT7Nm/5tO/eLFCyZPnsyQIUMoXbo0ZcqUISkpifT0dEaPHo2pqSnPnj1j8eLFDB06lLVr16r1+fDhwzx48IAff/yRV69eMXXqVH755RfmzJkDZAbB+vfvj4GBAdOnTwdg/vz5xMfHU6FChbd6fh48eMCTJ09wdnbWej4jI4O0tDTVsrvNmzdrDVQFBgZiYGBA8+bNKVy4MPv27ePEiRM0atRIrZyzszOvXr3ixo0bOe5IIIQQQgghhBBC5FWeg09Pnz7Fz8+PkJAQXr3KzP1SvHhx3NzcGD58OJaWlnnupPhvmzp1qurf6enpODk50bhxY06dOkXDhg1V5yIjI1m3bp0qeGNnZ0erVq3Ytm0bnp6e3Lx5k/379zNx4kQ8PT0BaNy4MU+ePNEIPsXExBAQEKCx7GzixImqf6elpVG2bFk+++wz1ba9SgqFgkWLFqmCXk+ePGHJkiVkZGSgq6vLtm3bePHiBXv27NHo79sGn5RbU9ra2mo936BBA7XHtWvX5ttvv1U7lpKSwv79+3F3d8fQ0JAmTZpQtGhRAgMDNYJPlStXpkCBAly+fFmCT0IIIYQQQggh8l2egk93797ls88+Iy4ujvr161OpUiUA7t27x86dO/nzzz/ZsGEDFStWfC+dFf9NISEhLFq0iNDQUOLj41XH79+/rxZ8qlKlilrgpnz58lStWpVLly7h6enJuXPngMxlY69r3bo1U6dOJSEhAUNDQwBMTEw0Ak+Qubxt1apVPHjwgISEBLW+vB58cnV1VcsRValSJVJTU4mMjMTc3JzLly9n2d+3FRERga6uLsWLF9d6ftWqVRgZGZGens6dO3eYP38+w4cPZ/ny5ejqZq6cPXLkCDExMbRr1w7I3ImuRYsW7N27l6SkJLXZiAULFqRo0aJZLn0UQgghhBBCCCHepzwFn2bNmoWuri7bt2/XmLVx+/Zt+vbty6xZs/D3989TJ8V/1+XLlxk6dCjNmjVj4MCBlChRAh0dHXr06EFycrJa2RIlSmhcX6JECSIiIoDM2Ux6enqYmJiolTEzM0OhUBAXF6cKPpmZmWnUdeDAAcaPH0/Pnj0ZPXo0JiYmREREMGzYMI2+FCtWTO2xMhClLPfixYss+/tmXTlJTk6mYMGC6OjoaD1va2urSjju6OhIsWLFGDFiBCEhITRt2hTIXHJXtGhRHB0diY2NBaBp06Zs27aNw4cP06ZNG437edt+CiGEEEIIIYQQ7yJPwaczZ87Qr18/rcuFbGxs6N27N6tWrcpLE+I/7uDBgxgZGTF37lzVLJ0nT55oLRsZGan1mHI2kbGxMampqcTExGBsbKwq8/LlS3R0dChatKjqmLZAzt69e6lWrZraLnF//fXXO92XhYUF165d09pfIyOjt6rL2NiYlJQUkpOTKVSoUI7llTMMQ0NDadq0KfHx8QQHB5OUlES9evU0yu/atUsj+BQXF6cRxBNCCCGEEEIIIfJDnna7S0tLyza5uIGBgeyo9YlLSkpCT09PLRgUGBiotWxoaCgPHjxQPX7w4AE3b95ULZ+rVasWkBlEet3evXuxs7NTzXrKqS+vy6ovObG3t8+yv29Ludzv8ePHuSp/+/ZtANUyvYMHD5KUlMTEiRNZs2aN2n+dO3fm2LFjREdHq66PiooiMTFRbZmhEEIIIYQQQgiRX/I086latWps3ryZ7t27q806AYiPj2fLli3Y2dnlqYPiv61BgwasXr2aX375hRYtWnDhwgV27typtWyJEiX48ssvGTlyJADz5s2jZMmSdOnSBYCqVavSsmVLfH19SUpKwtraml27dnHhwgUWLlyYY1/q16/PpEmT8Pf3x8nJiZCQEE6ePPlO99WlSxcWLVrE4MGD+eqrr4DM3e60LffLiYODAwULFuTq1auqWU2vu3btGkWLFiUtLY179+6p2mnRogWQGUCztLSkZ8+eGjO+jI2N2b59O3v37lUlaVcmOFcG8/LCylh7niohhBBCiH8L+XtFCCE+vDwFn0aMGMHAgQNp3bo1Xbp0USVfDgsLY/v27URHR/Pjjz++j36K/5CkpCRVjiQ3NzfGjRvHunXr2LZtG87OzixZsgQPDw+N66pXr07Lli2ZMWMGERER1KxZk4kTJ6ol/p4xYwazZ88mICCA6OhoKlasyPz583F3d8+xX56enjx+/Jh169axfPlyGjZsyKxZs+jRo8db32PhwoVZsWIFP//8M19//TUlS5Zk6NChHDp0iLi4uLeqy9DQkEaNGnHkyBE6duyocX7AgAEA6OrqUrJkSerWrctXX32FiYkJkZGRnDx5kkGDBmldali1alWqVatGYGCgKvh09OhRXFxc3ilQ9iYft2Y5FxJCCCGE+MDSMzIooJunRR9CCCHyQEehUCjyUsGJEyeYPn26xnKjatWq8c0332jNQSM+bsOHD+fp06ds27btQ3flP+Pw4cOMHTuWEydOYGBgkG/tpKWl0aRJE8aNG0enTp3euZ4rV66QkpKCnZ1dvvZX/DclJiYSFhaGtbW1jA+hQcaHyI6MD5EdGR8iOwkJCdy4cYNq1arlmI5DfJpkjOQP5coae3v7bMvlaeYTZC5l2rFjBxERETx9+hSAMmXKYG5unteqxX/MjRs3+OuvvwgODmbEiBEfpA/z588nKCiIzZs3qyUl/7dr2rQp1tbWbN68mc8//zzf2gkKCqJIkSK0a9cu39oQQgghhMgPCoWCxMRE8vjduRBCiA/gvc09NTc3p2bNmtSsWVMCT/9xfn5+2Nraqv6zt7endevWBAQEkJGRkeV13333HatXr6Zfv354e3urjnt5eTF48OB87/fly5dZt24dCxcuzNfAk62tLcuXL1c9fh/3p6Ojw88//8yqVatYv3696riPj4/aa+Ho6EiHDh3YvHlzlnWtWrUKW1tbvvvuO41zCoWC5ORkdu/enaf+Aujr68u3jkIrAwMDmRUnsiTjQ2TnYx8f6dn8HSWEEEJ8zN5q5tOOHTsA6NixIzo6OqrHOcnL8h7xYRQuXJjVq1cDmTmcTp8+zaxZs1AoFAwaNEjrNdu3b9d6/KeffkI3n9fYJyYmMn78eH799VcqV66cr2296X3dX3h4OImJiXTt2lXteLly5Zg5cyYAf//9NwcOHGDChAkYGhrStm1bjXp27doFwIEDB/j555/VcmZ17tyZjIwM/Pz8aNOmDQUL5m3yo2/IIR7GvMpTHUIIIcSnwMq4uORKFEII8cl6q0+ePj4+6Ojo0KZNG/T19fHx8cnxGh0dHQk+/Qfp6uri6Oioely3bl1u377N/v37sww+ZeWfCAYZGBiwZ8+efG9Hm/d1f6tXr6Zt27YULlxY7XjhwoXVXosGDRpw8eJF9u/frxF8CgsL49q1a9SvX58TJ04QHBxMy5Yt1cq0adOGyZMnExwcTPPmzfPU54cxr7gT+TJPdQghhBBCCCGE+Li9VfDp0KFDAKqZFMrH4tNQpEgR0tLS1I7NnDmTkJAQHj9+jJGREa6urvj4+GBhYaEq4+XlhaGhIUuWLAHg7t27LFiwgPPnzxMdHY2lpSXdunWjb9++qhlEjx8/plmzZkyfPp1Lly4RGBhIoUKFaN++PWPHjlWbsXPmzBlmzZrF9evXMTAwwN3dnfHjx2NiYqJWl6+vL2fOnGHfvn0UKFCAzp078/XXX6vVdevWLaZPn865c+coUKAADRo0wMfHhzJlymT5vLx5f8+fP2fq1KmcOXOGuLg4zM3Nad68udZlcEqPHj3i7NmzjBo16p1fC8jM6aSjo8OkSZPw9PQkMDBQI/hkYGCAm5sb27dvz3PwSQghhBBCCCGEyMlbBZ8sLS2zfSw+LsrghnLZ3f79+zVyG0VGRjJ48GAsLCyIiopi5cqVeHl58ccff2S5pOvFixdYW1vTvn17ihQpwo0bN/Dz8yMhIYHhw4erlZ07dy7NmjVj7ty5XLhwAT8/P6ysrOjVqxcAV69epV+/ftSpU4d58+bx8uVLZs2axZ07d9i4cSMFChRQ1TV79mwaNmzI3LlzuX79OvPnz0dPT49x48YB8OzZM/r06UO5cuWYMWMGycnJzJkzhz59+rBr1y6MjIxy9bx98803vHjxggkTJlCiRAmePXvG1atXs73m1KlTFCxYEAcHB63nla9FQkIC+/fv5/z580ybNk2jXFBQEC4uLpQrV47WrVuzadMm4uLiKFq0qFo5Jycn5s+fT0ZGRr4viRRCCCGEEEII8WnL8253AOnp6Vy7do3Hjx8DULZsWapXr672wV/8tyQkJFC9enW1Y23atNFYcjd16lTVv9PT03FycqJx48acOnWKhg0baq27Xr161KtXD8hMgF2rVi2SkpJYt26dRvDJwcGBCRMmAJnLzU6fPs2+fftUwafFixdjbm7O4sWL0dPTA6B06dJ4e3sTEhKCu7u7qi4rKytVfxs1akRSUhIrV65k4MCBGBsbs2rVKtLS0lixYoVq1lS1atVo27Yt27dvx8vLK1fP3ZUrVxgzZgxt2rRRHctp6emVK1eoUKGCWn4mpdDQUI3Xon///nTo0EHt2OXLl7l//z79+vUDoF27dqxdu5Z9+/bRrVs3tbJVq1YlPj6eu3fvUqVKlVzdlxBCCCGEEEII8S7yHHzatm0bs2fPJjIyUrXtqY6ODqampowePVrjQ6/4byhcuDDr1q0DICUlhWvXrjF//nwmTJigFnAKCQlh0aJFhIaGEh8frzp+//79LINPycnJLFmyhMDAQJ49e0Zqaqrq3N9//02RIkVUj9+so1KlSpw6dUr1+OzZs7Rr104VeFJeU6xYMc6dO6cWfGrRooVaXR4eHixcuJDbt2/j6urK2bNnqVOnjirwpGyvatWqnDt3LtfBJzs7O1asWKFatle+fPkcr3nx4gXFixfXes7KyorZs2cDmbPQzp49i7+/P0WKFFEL1gUFBaGnp0erVq0AcHR0pFy5cgQGBmr8HCrbioiIkOCTEEIIIYQQQoh8lafg08aNG/n555+pVq0aw4cPp0KFCkBm0uNNmzbxww8/kJqaqpqlIv47dHV1sbe3Vz2uVasW6enp+Pr60q9fP2xsbLh8+TJDhw6lWbNmDBw4kBIlSqCjo0OPHj1ITk7Osu4ZM2awefNmhg0bRo0aNShatCiHDh1i0aJFJCcnqwWf3lwupqenR0pKiupxbGwsJUqU0GijRIkSxMTEqB0zNTVVe2xmZgZkBmCUdVWrVi1XdWVnzpw5zJkzh7lz5zJx4kSsra0ZM2aMRu6l16WkpGid9QRQqFAhtdfC1dWVyMhIFi9eTJ8+fTAxMSEjI4Pdu3dTu3ZtdHV1iY2NBaBZs2asWbOG8PBwSpYsqapD2VZSUlKu70sIIYQQQgghhHgXeQo+BQQE4OLiwsqVK9VmntStW5du3brxxRdfsGzZMgk+fSQqVqwIwJ07d7CxseHgwYMYGRkxd+5cVd6gJ0+e5FjP3r176dmzp9oSvpCQkHfqk7GxMZGRkRrHIyMjMTY2VjsWFRWl9vjly8xd2szNzXOsSxlYzQ0LCwumTp1KRkYGV69eZdGiRYwePZq9e/dSrly5LO8jN8+dUsWKFUlNTeXBgweYmJhw6tQpIiIiiIiIwNXVVaP87t27VcvxAFVw6vVZXkIIIYQQQgghRH7IU6bhly9f0rp1a7XAk5Kenh5t27bV+mFe/DeFhoYC/1uylZSUhJ6eHjo6OqoygYGBOdaTnJysNmbS09P5448/3qlPtWrV4tChQ2o7vx0/fpzY2Fhq1aqlVvbAgQNqj/ft24eBgQE2Njaquk6dOqU2y+nevXvcunVLo67c0NXVxcHBgVGjRpGWlsaDBw+yLGttba3KmZYbb74WgYGBGBoasmrVKtasWaP2X9WqVTVeF2Wg622CakIIIYQQQgghxLvI08ynatWqERYWluX5sLAwqlatmpcmxAeSkZHBxYsXAUhNTeXatWssWrSIypUr4+LiAmQmAF+9ejW//PILLVq04MKFC+zcuTPHuuvXr8/mzZupXLkyxYsXZ8OGDWpL6d7Gl19+iaenJ4MHD8bLy0u1252DgwNubm5qZR8+fMi3335LmzZtuH79OkuXLuWLL75QzZDq27cv27Zto3///gwZMoTk5GTmzp1L6dKl6dy5c676ExcXh7e3Nx07dsTa2prU1FTWrl1LsWLFsLOzy/I6Z2dn/P39ef78OaVKlVI7l5SUpHotlDmfNm/eTIMGDbCysiI5OZkDBw7QsmVLVSL313Xt2pUpU6Zw79491ey1q1evUqlSJY2liG/Lylh7niohhBBCqJPfmUIIIT5leQo+/fDDDwwePJhy5crRs2dPChcuDGR+QN64cSN79+5l6dKl76Wj4p+VlJREz549AShYsCClSpWiQ4cODB8+XDVryc3NjXHjxrFu3Tq2bduGs7MzS5YswcPDI9u6f/jhB3766Sd++eUXDAwM6Ny5My1atFDtavc2atSowYoVK5g9ezYjRozA0NAQd3d3xo8fr7Hb4ujRo/nrr7/46quvKFCgAJ999hmjR49WnS9dujRr165l+vTpjBs3Dl1dXRo0aICPjw9GRka56k+hQoWwsbFh7dq1PHv2jMKFC1OjRg2WL1+ebaCndu3amJiYcOTIEXr06KF27tGjR6rXQk9PD0tLS7y9vRk4cCAAwcHBxMXFZbmjXrt27Zg+fTqBgYF89dVXABw5ciTH1yk3fNya5bkOIYQQ4lORnpFBAd08LTwQQggh/pN0FMot6t5B+/btiYmJISIiggIFCmBhYQFk7tyVnp6OhYUFxYoVU29QR4ddu3blrddCvIXHjx/TrFkz5s2bp9oJ7t/I19eX69evs2bNmnxtJzQ0lD5GgrAAAQAASURBVI4dO7Jv374sc1Dl5MqVK6SkpGBnZ4eBgcF77qH4r0tMTCQsLAxra2sZH0KDjA+RHRkfIjsJCQncuHGDatWqYWho+KG7I/5lZHyInMgYyR9XrlwBUNskS5s8zXwyMTHBxMREYyt5S0vLvFQrxCepf//+tGzZkps3b+brctUVK1bQsWPHdw48CSGEEEIIIYQQbyPXwafk5GQKFSqkdmzt2rXvvUPiv+HQoUOsX7+eq1evkpCQgIWFBQ0bNqRfv35YW1t/6O7lyo0bNzh48CADBgxQ+3Z127ZtfPvtt5w8eTLPOZHexoEDBzAzM1Ptynf69Gk+//xz1fkCBQpQsmRJGjduzKhRo1TJxl8XFRVFo0aN0NfX5+TJk6qlsEoLFy7k7Nmz7+VnV19fX76VFloZGBhkm+NMfNpkfIjs5Pf4kGVvQgghxIeR6+DT8uXL0dXV5csvv8zP/oj/gJkzZxIQEICHhwe//PILpqamPHz4kK1btzJ69Gh27NjxobuopmzZsty6dUvj+I0bN1iwYAG9e/dWC6I0adKETZs2aSwZzU+JiYksWrSIH374gfr166udmzp1KhUrViQtLY07d+4wZ84cHj9+zPLlyzXq2b17N2lpaaSlpXH48GHatGmjdr5Pnz4sX76c+/fvayQ2fxe+IYd4GPMqz/UIIYQQ+c3KuLjkKhRCCCE+kFwHn5ycnBg1ahTnz59nxowZGBsbc+bMmVxd6+rq+s4dFP8uISEhBAQEMHToUFXyash8jbt27cqff/6Zp/oVCgWpqano6+trnEtKStKYyZMfTE1N/9EZT5AZNEpNTaVZM80/iqtUqaJaP+vi4kJycjJTp07l77//pkiRImplg4KCqFSpEvHx8ezatUsj+FSsWDFatmzJmjVrqFu3bp77/TDmFXciX+a5HiGEEEIIIYQQH69cB5/q1avHH3/8waRJk+jYsSPBwcF4eXmho6OT5TUKhQIdHR1u3LjxXjorPrwVK1ZgZmbG0KFDtZ5v2rSp6t/JycnMnj2bP/74g5iYGCpWrMjw4cNp0aKFqoyPjw9Xr17l66+/ZtasWdy7d4+ZM2cSGhrKihUrWL16NVOmTOH69euMGjUKb29v7t69y8yZM/nrr79IT0+ndu3aTJgwASsrK1W9tra2jBs3jqSkJH777TfS09Nxd3fnhx9+wNDQULW0DjLHNmTmKjt8+LDGsjtlwvLp06dz6dIlAgMDKVSoEO3bt2fs2LEULJj5Y3T37l0WLFjA+fPniY6OxtLSkm7dutG3b190c5jiv2PHDpo1a6aqKztFihRBoVCQkZGhdvzRo0dcuHCBUaNGERsby9q1a4mOjsbExEStXKtWrRg6dChRUVH/eJBNCCGEEEIIIcSn560SjpuZmTF//nwOHjwIkO+7col/l7S0NM6fP0/Lli3R09PLsfy4ceM4evQoo0aNomLFiuzcuZMRI0bg7++vNsPnxYsXTJ48mSFDhlC6dGnKlClDaGgoqampjB07lr59+zJ69GhMTEx49OgRnp6eVKlSBV9fX3R0dFi8eDF9+/Zl7969ajOm1q9fT61atfD19eX+/ftMnz6dEiVKMG7cOJo0acKQIUNYtGgRy5Yto2jRolpnW71u7ty5NGvWjLlz53LhwgX8/PywsrKiV69eqvuwtramffv2FClShBs3buDn50dCQgLDhw/Pst6kpCQuXLhAx44dtZ7PyMggLS2N9PR0VVCufv36FC1aVK1cUFAQAO3atSM2NpYVK1awd+9ePD091co5OTmRnp7OX3/99a/e/U8IIYQQQgghxMfhnXa7a968OQC1a9d+r50R/27R0dGkpKRQpkyZHMvevHmT/fv3M3HiRFXwo3Hjxjx58kQj+BQTE0NAQAA1a9ZUqyM1NZXRo0erLR0bP348xsbGrFy5UpUA39nZmWbNmrF582Z69+6tKmtubs6sWbNUbV+/fp19+/Yxbtw4TE1NVTOlqlevnqsZQA4ODkyYMAGABg0acPr0afbt26cKPtWrV081i0qhUFCrVi2SkpJYt25dtsGnGzdukJqaiq2trdbzPXr0UHtsa2vLtGnTNMr98ccfODo6qnaxq1ixIoGBgRrBp2LFilGmTBkuXbokwSchhBBCCCGEEPkuT9t9pKWlER8fn+X5+Ph40tLS8tKE+BfKbqml0rlz5wA0ghutW7fm+vXrJCQkqI6ZmJhoBJ6U3Nzc1B4fP34cd3d3ChQooEqsXaxYMezs7Lh69apa2TcTd1eqVInnz5/n2PesNGzYMNv6kpOTmT9/Pi1atMDe3p7q1aszZ84cIiIi+Pvvv7OsNyIiAiDLANi0adPYsmULmzdvZvbs2aSmpjJgwAC1Om/evEloaCjt2rVTHWvbti3nzp3j6dOnGnWamJio2hVCCCGEEEIIIfJTnoJPkydP1phV8bpevXrh6+ublybEv4iJiQmFChXSGsx4U0xMDHp6ehr5hszMzFAoFMTFxakd08bAwEAjofarV69YvXo11atXV/vv7NmzPHv2TK3sm7vV6enpkZKSkmPfs/LmMrc365sxYwbLly+ne/fuLF26lC1btjBkyBAgMzCVFeW5rJb9VapUCXt7exwcHGjbti0zZ87k1q1bbN++XVVm165d6Orq0rBhQ2JjY4mNjcXNzQ2FQqFajvc6fX39bPskhBBCCCGEEEK8L++07E7p6NGjdOrUKcvzHh4e7Nq1Ky9NiH+RggUL4uzszKlTp0hLS8s2ObaxsTGpqanExMRgbGysOv7y5Ut0dHTUAjlZzaTSdtzY2Bg3Nzc+++wzjXNvBqr+aXv37qVnz54MGjRIdSwkJCTH65TPT2xsLObm5jmWr1SpEgChoaFA5hK/3bt3k5GRoXUZXWBgoFqfAOLi4qhSpUqObQkhhBBCCCGEEHmVp+DTixcvKFmyZJbnLSwsCA8Pz0sT4l+mX79+DBo0iMWLF2vNYxQSEoKbmxu1atUC/heQUdq7dy92dnYYGhq+U/v16tUjNDQUOzs7ChQo8G438f+USdPzMhvqdcnJyWqJ2NPT0/njjz9yvM7a2hqAx48fqwJL2bl9+zYAxYsXB1DN+hoxYgSurq5qZY8ePUpAQAC3bt1S5ZTKyMjg6dOndO3aNXc3JoQQQgghhBBC5EGegk8mJiaEhYVlef7u3bsYGRnlpQnxL+Pm5saAAQPw8/Pjzp07tG3bluLFi/P48WO2bt1KXFwcbm5uVK1alZYtW+Lr60tSUhLW1tbs2rWLCxcusHDhwnduf+TIkXTr1g1vb2969OiBmZkZL1++5K+//sLFxUUt51FOlIGe9evX07x5cwoXLpxl0u/cqF+/Pps3b6Zy5coUL16cDRs25CqwVa5cOczNzbl27ZpGjivInOGUnp5ORkYGjx49YuHChRgYGKhmHQYGBmJoaEi/fv00Zn9VqVKFVatWERQUpLq3sLAwEhIScHFxeed7VbIyLp7nOoQQQoh/gvzOEkIIIT6cPAWfGjVqxMaNG2nfvj12dnZq565du8bvv/8uu2l9hL7++mucnJxYv3493333HYmJiVhYWNCwYUO8vb1V5WbMmMHs2bMJCAggOjqaihUrMn/+fNzd3d+57fLly7N582bmzp3LxIkTSUhIwNzcHFdX17cOHNnZ2TFixAg2b97MsmXLKF26NIcPH37nvv3www/89NNP/PLLLxgYGNC5c2datGih2iEvO61ateLIkSMMHTpU49y3334LZC5DNDMzw97ennnz5lGhQgVSU1PZt28fzZs317rs0NTUFDc3N4KCghgzZgw6OjocOXIES0tL7O3t3/lelXzcmuVcSAghhPiXSM/IoIBunlKeCiGEEOId6CgUCsW7XhweHk63bt2IiorC3d2dypUrA5kzNf78809MTU3ZvHkzpUqVem8dFuJjdPPmTTp37szBgwextLTM17a6du1K06ZNtS6bzK0rV66QkpKCnZ0dBgYG77F34mOQmJhIWFgY1tbWMj6EBhkfIjsyPkR2EhISuHHjBtWqVXvnFA7i4yXjQ+RExkj+uHLlCkCOkxvy9NVPyZIl2bp1K+3atePkyZMsWrSIRYsWcerUKdq3b8+WLVsk8CRELlStWhV3d3fWrFmTr+2cOXOGR48e8fnnn+drO0IIIcS7UCgUJCYmkofvRoUQQgjxL5SnZXeQmVR82rRpKBQKoqKigMylPlntYCbE+3bo0CHWr1/P1atXSUhIUC0B7NevnyqZ93/BwIED6dOnD127dsXGxgYAd3d3njx5oipjYmKCra0tI0eOzDJn05AhQzh8+DDTpk3T2I3y/v37JCYmEhsbS7FixfLUX319fflWWmhlYGCgsRRbCKVPeXzIki8hhBBCfKryHHxS0tHRoUSJEu+rOiFyZebMmQQEBODh4cEvv/yCqakpDx8+ZOvWrYwePZodO3Z86C7mWlBQEA0bNlQFnpQ8PDzo378/AJGRkaxevZoBAwawa9curKys1MpGR0dz9OhRVX1vBp+6d+/O2bNn8fPzY9q0aXnus2/IIR7GvMpzPUII8bGzMi4uefKEEEII8cl6q+DTggUL0NHRYciQIejq6rJgwYIcr9HR0WHYsGHv3EEhshISEkJAQABDhw7lq6++Uh13dXWla9eu/Pnnnx+wd2/n77//ZuvWrUyfPl3jnJmZGY6OjqrHLi4u1KlTh6NHj9K7d2+1svv27SM1NZX69etz8uRJIiMjNYLC3bp1o1+/fowfPx5TU9M89fthzCvuRL7MUx1CCCGEEEIIIT5u7xR8GjhwIPr6+hJ8Eh/UihUrMDMz07pDHEDTpk1V/05OTmb27Nn88ccfxMTEULFiRYYPH06LFi3Urrlw4QJ+fn5cvHgRhUJB5cqVGTVqFA0aNAAyZxZNmzaNw4cPk5iYiJ2dHWPHjsXV1VVVx7lz55g9ezY3b94kIyODsmXL0r9/fzp37pzlvezbtw+Axo0b53jfBgYGFChQgLS0NI1zQUFBlC9fHh8fHzp06MDu3bvx8vJSK1OrVi1MTEwIDAzkiy++yLE9IYQQQgghhBAiL94q+HTz5s1sHwvxT0lLS+P8+fO0bNkSPT29HMuPGzeOo0ePMmrUKCpWrMjOnTsZMWIE/v7+NGuWuQzi3LlzfPHFFzg6OjJ58mSKFSvG1atXefr0KQDp6ekMHDiQR48eMW7cOMzMzFi7di39+vVj48aN1KhRg/j4eAYPHkytWrWYPXs2+vr63Llzh9jY2Gz7d+LECezs7ChUqJDGOYVCoQo0RUVFsWjRIgoUKECTJk3Uyj1//pwzZ84wdOhQbG1tsbGxISgoSCP4pKurS82aNTlx4oQEn4QQQgghhBBC5Lv3lvNJiH9SdHQ0KSkplClTJseyN2/eZP/+/UycOBFPT08gc4bRkydP1IJPM2bMoHz58qxevZoCBQoA0LBhQ1U9wcHBXL58mWXLltGoUSPV+ZYtW7JkyRL8/PwICwsjLi6OMWPGYGtrC0C9evVy7OOVK1dUs6vetGHDBjZs2KB6XLhwYaZNm0b58uXVygUFBaFQKGjXrh0A7du3Z9asWTx8+FAjN1TVqlVZv359jv0SQgghhBBCCCHySrZcEf9pudlV8dy5cwC0atVK7Xjr1q25fv06CQkJJCYmcunSJTp16qQKPL3p7NmzGBkZqQJPAHp6erRo0ULVhpWVFUZGRvz888/s3r1btQNkTiIiIrLMv9S6dWu2bNnCli1bWL58Oa1bt+abb77h+PHjauWCgoKoXr06FStWBKBt27bo6OgQGBioUWfx4sV59eoVqampueqfEEIIIYQQQgjxrvI080mhULBp0ya2bNnCo0ePtC4t0tHR4fr163lpRggNJiYmFCpUSLUkLjsxMTHo6elhYmKidtzMzAyFQkFcXBwAGRkZWFhYZFlPbGys1h0dzczMiImJAcDY2JiVK1cyf/58vvnmG9LT03FxcWHChAmqmVDapKSkoK+vr/Wcqakp9vb2qscNGjTg+vXrzJo1SzVb6u7du9y4cYMRI0aofg6LFi1KjRo1CAoK0si7pmwrOTk5V8sWhRBCCCGEEEKId5Wn4NP06dNZtWoV1apVo0OHDhgbG7+vfgmRrYIFC+Ls7MypU6dIS0ujYMGsh7KxsTGpqanExMSojdGXL1+io6ND0aJFgcxcSC9evMi2nsjISI3jL1++VKvXwcGBZcuWkZSUxOnTp5k2bRrDhg3j4MGD2dadU14oJR0dHSpWrMjhw4dVx3bt2gWAn58ffn5+Gtdcu3aN6tWrqx7Hxsaip6eHkZFRrtoUQgghhBBCCCHeVZ6CTzt27KBly5bMmzfvffVHiFzr168fgwYNYvHixQwfPlzjfEhICG5ubtSqVQuAvXv30rNnT9X5vXv3Ymdnh6GhIQCOjo7s3LmT/v37a116V6tWLZYvX86xY8dUuaDS0tI4ePCgqo3XFS5cGDc3Nx4+fMiUKVNITk7WmlAcwNramsePH+fqvhUKBXfv3qV48eKqY3/88QeOjo6MGTNGrWxqaipffvklgYGBasGnJ0+eYG1tnav2hBBCCCGEEEKIvMhT8CkpKYn69eu/r74I8Vbc3NwYMGAAfn5+3Llzh7Zt21K8eHEeP37M1q1biYuLw83NjapVq9KyZUt8fX1JSkrC2tqaXbt2ceHCBRYuXKiqb+zYsfTt25e+ffvy2WefYWxszLVr1yhevDjdunWjSZMmODg48PXXXzN27FjVbncvXrxg/vz5QGZS8i1bttC8eXPKlCnDy5cvWbduHc7OzlkGngCcnZ3Zs2eP1nMvX77k4sWLQOYSwqCgIG7fvs3o0aMBuHDhAo8ePWLIkCHUqVNH4/omTZrwxx9/8M0336Crm5nm7erVq1oDZm/Lyrh4zoWEEELI+6UQQgghPml5Cj7Vq1ePK1euqM0mEeKf9PXXX+Pk5MT69ev57rvvSExMxMLCgoYNG+Lt7a0qN2PGDGbPnk1AQADR0dFUrFiR+fPn4+7urirj4uLCmjVrmDt3Lt9++y26urpUqVKFUaNGAVCgQAGWLl3K9OnTmTFjBgkJCVSvXp0VK1ZQo0YNIDPhuK6uLnPnziUyMhITExMaNmyoMSPpTR4eHixZsoT79+9ToUIFtXP79u1j3759ABQpUoTy5cszZcoUunbtCmQmGjcwMMDDw0Nr3Z06deLAgQOcPn2aevXqERkZybVr13LsU274uDXLcx1CCPGpSM/IoICu7PUihBBCiE+PjkKhULzrxeHh4QwYMIC2bdvSs2dPtWVAQoi306VLF9zd3bUuIXyf1q9fz6pVq9i/f3+udgvU5sqVK6SkpGBnZ4eBgcF77qH4r0tMTCQsLAxra2sZH0KDjA+RnYSEBG7cuEG1atVUy+KFUJLxIbIj40PkRMZI/rhy5QqA2iZZ2uTp67dWrVrx6NEj5s2bR/369XF0dMTZ2Vntv/extEeIvHj27BkuLi4EBgZ+6K78H3v3HRbF9TVw/AsICgJiw06xgKLSbFixY+81igULir3EEo0tMZZoLIgl9t5iA6xRg11jx957QQUVkc7u+wfv7o91l6KIGD2f58kTd+bOzJnZYWDP3ntuinx8fNiwYQOxsbEZdgyFQsGqVavo16/fJyeehBAiveLj40nHd19CCCGEEOI/Jl3D7jw8PP7zH2D9/f1ZtWoV9+7dQ6lUki9fPlxdXRk6dCi5c+f+7MdbsWIFtra2uLu7f5b9+fr6Mm/ePPVrCwsLihYtSp8+fbSOYW9vz4gRI9TD0bZu3YqhoSFNmzb9LLEkp3z58nTt2pUBAwZ8lv3duHGDP//8k1OnTvHmzRvMzc1xdXWlU6dOVK5cWaOtUqnkp59+onXr1p/9PLdu3cro0aM5ceIEuXLlSvf+XFxcePPmDcePH6dmzZoA1K5dmydPnqjbWFhYYG9vz8CBAylfvrzO/fTt25eDBw8ybdo0WrRoobHu4sWLPH78+LMkhY2MjKTXgtDJ2NgYBweHzA5DfKWMjY1xKF2auAxMtAshhBBCiK9LupJPU6dO/VxxZIrFixczc+ZMunXrxsCBA1Eqldy6dYuAgABevHiRIcmnVatWUbNmzc+WfILEWdVWrlwJwIsXL1i4cCF9+vRh7dq1uLq6qttt3LiRggULql9v27YNExOTDE8+fU779+9nyJAhlChRgiFDhmBlZUVYWBj79u3Dy8uLf//9FzMzM3X79evXk5CQwIgRIz57LDVr1mTjxo2Ym5t/lv0tWLCAatWqqRNPKh4eHnh5eQEQGhrKypUr6dmzJ/7+/lhZWWm0ffPmDUeOHAESa0F9mHxycXGhSZMmzJs3j2nTpqU75qmHDvDw7et070cI8f2wypGTUe51iMvsQIQQQggh0mnt2rVMmjQJR0dHNm/enNnhfNXSlXz6r1u9ejUtW7Zk1KhR6mWqGdQUCkUmRvZx9PX1cXZ2Vr92cnLC3d2d7du3aySfkrb5L3r58iUjR46kXLly/PnnnxgZGanXeXh40LZtW7Jk0bylf/jhB3744YcMiSdXrlyfpccTwPv379myZQvTp0/XWpcnTx6N9658+fJUqlSJI0eO0KlTJ422e/fuJS4ujipVqnDixAlCQ0O1kqht2rShe/fujBw5Mt3xP3z7mtuhr9K1DyGEEEIIIYT4LwoICKBQoUIEBwfz4MEDrK2tMzukr1a6aj5t3749Tf99rcLDw7G0tNS5Tj/JbDTbt2+nY8eOVKxYkQoVKuDp6UlwcLBGe19fX1xcXLhx4wYdO3bEycmJJk2aqHuhwP+GUK1duxZ7e3vs7e3ZunVrmo+RVvny5SNXrlw8ffpUY7m9vT1Lly4FwNPTk3///ZegoCB1LL6+vgAEBQXRvXt3KleujKurK23btuXw4cNpOvb+/ftp0KABZcuWpU2bNsmeQ1BQEG3btsXR0RE3NzfGjx9PZGRkivvetGkTERERjB49WiPxpOLm5qYeBpaWcwgPD2fs2LFUr16dsmXL4u7uzpAhQ9K8fuvWrdjb2xMWFqZeNmPGDJo2bYqLiwvVq1dn6NChvHjxItXrpprNrkaNGqm2NTY2xsDAgPj4eK11gYGBWFtbM2rUKOLj49m1a5dWm3LlymFhYfHV18ASQgghhBBCiK/Vo0ePOH/+PKNHjyZXrlzy+SoV6er5lLTH0IeS1oL6cOjP16J06dJs2LCBwoULU7NmTfLmzauz3ePHj2nRogVWVlbExsayc+dOOnXqhL+/P7a2tup2cXFxDB8+nC5duuDj48PixYsZOHAgBw8eJGfOnMybN4/evXvj6uqqHkalGjaV1mOkxfv373n79i2FCxdOts348eP58ccfyZYtGyNHjgQgf/786lhq1aqFl5cX+vr6HD58mN69e7Ny5UoqVaqU7D6vXbvGwIEDqVGjBqNHj+bx48cMHjxYq4D2nj17GDJkCK1atWLAgAG8fPmSmTNnEh4ezqxZs5Ld/+nTp7G0tMTe3j7Va/Dw4UNq1KhB9+7dMTAw0HkOU6ZM4ciRIwwbNoxChQrx8uVLjQRVaut1CQ0NxdvbG0tLS8LCwli+fDmenp7s3LlTq1dWUsePH8fBwYGsWbNqrVMqlepEU1hYGAsWLMDAwEBreN7z5885ffo0Pj4+2NvbY2dnR2BgIJ6enhrt9PX1cXJy4vjx43Tt2jXF8xFCCCGEEEIIoS0gIIAcOXLg7u6Oh4cHAQEBGjOXP378mDp16jBixAhMTU1ZvHgxz58/x97envHjx+Po6KixvxMnTuDr68vVq1fJkiULFSpUYPjw4RQrVuxLn1qGSFfy6cCBA1rLFAoFjx8/Zv369Tx9+vSz1JXJKOPHj6d///6MHTsWgMKFC1OrVi26deumkbhJegMpFAqqVq1KcHAw27ZtY+jQoep1quSTqp6Tra0tderU4fDhwzRv3hwHBweMjIy0hlF9zDGSo0pOvHjxgt9//53s2bPTpUuXZNsXL14cU1NTTExMtGLp3LmzRiyVKlXi9u3bbNq0KcXk059//kmBAgXw8/PDwMAAgKxZszJmzBh1G6VSyfTp02nUqBGTJ09WL8+bNy+9e/fGx8eHEiVK6Nx/SEiIRs2qlHx47lWrVtU6h0uXLtGkSRNatmypbte4cWP1v1Nbr8uUKVPU/05ISMDFxYUaNWpw8uRJqlWrlux2ly5domrVqjrXrVu3jnXr1qlfZ8uWjWnTpml16QwMDESpVNKkSRMAmjZtysyZM3n48KFWbaiSJUuydu3aFM9FCCGEEEIIIYRuAQEB1KtXDyMjI5o0acL69esJDg7WSioFBgby/v172rdvj56eHkuWLGHAgAHs378fQ0NDILEzQq9evShcuDD9+/cnOjqaNWvW0LFjR7Zu3Zpix5L/inQlnwoVKqRzeZEiRahcuTK9e/dmzZo1jB8/Pj2HyTCqniEnTpzg6NGjnD59mtWrV7N161bWrl1LqVKlALhz5w5//PEH58+fJzQ0VL39/fv3Nfanr6+vMdta4cKFyZYtGyEhIanGktZj6BIZGUnp0qXVrw0MDJg/fz5FixZNdVtdnj9/zqxZszh+/DgvX75UT4ed9Bi6XLx4kdq1a6sTTwANGjTQSD7du3ePJ0+e8NNPP2kMG6tYsSL6+vpcvnw52eQTkObZFV++fMm8efM4efIkL168ID4+nvj4ePV7CuDg4MC2bdvImzcv1atXx87OTmMfqa3X5dChQyxYsIBbt24RERGhXn7//v0Uk08vX75Mtv5Sw4YN1TMUvn37lsDAQEaMGIG5ublGwiowMJDSpUur3/fGjRvzxx9/EBAQQL9+/TT2mTNnTl6/fk1cXJz6gSeEEEIIIYQQInWXL1/m7t27/Pzzz0BiaZP8+fMTEBCglXx6+vQp+/btI0eOHEBiJxUfHx+OHj1KrVq1AJg+fTo5cuRg48aNWFhYAFC3bl1atmyJr6/vV92pJ60ytOB4zZo1mTNnzlebfILE6eLd3d3VvZWOHDmCt7c3fn5+zJs3j4iICLy8vMiVKxejRo2iYMGCZM2albFjxxITE6Oxr2zZsmnVIjI0NNRq96GPOYYu2bJlY82aNSiVSu7fv8/MmTMZOXIkAQEByda0So5CoaBv3768e/eOgQMHYm1tjbGxMXPnzuXZs2cpbvvy5Uut4tampqYaQ8lev06cGe3DZIhKSsfIly8fd+/e/ahzGDBgADY2NhgbG/P777/z+PFjdbuff/6ZHDlysHz5cqZPn06BAgXo3bu3ukB5aus/FBwcjI+PD3Xq1KFXr17kzp0bPT092rVrl+r7GBsbq7OOFSQWNi9btqz6ddWqVbl69SozZ85UJ5/u3LnDtWvXGDBgAOHh4QCYmZlRpkwZAgMDta636lgxMTGSfBJCCCGEEEKIjxAQEECePHnUo2r09PRo1KgR/v7+jBo1SqNDRqNGjdSJJ0icQAoSa0ZB4uila9eu0bNnT3XiCRJHq1SpUoVDhw59gTPKeBmafHr06JFWvZ+vXfXq1SlZsiR37twB4MKFCzx//pxFixZRsmRJdbt3796paySlV3qPoa+vr05OODo6YmtrS7t27fDz82PixIkfFcuDBw+4evUqfn5+1K1bV708Ojo61W3z5s2r0WsLEhNrSRMvqh+mcePGaWWEgRSTZRUrVuTEiRPcunUrxd5RDx8+5NKlSyxYsIDatWtrxJKUmZkZY8aMYcyYMdy4cYNVq1YxceJE7OzsKF++fKrrP7R//35MTU2ZPXu2umD9kydPko0zqRw5cqiTRqnR09OjaNGiHDx4UL3M398fSCx8ryocn9SVK1c0eq6Fh4djaGiIqalpmo4phBBCCCGEECKxvMrOnTupVKmSRucGR0dHli1bxokTJzRGvRQoUEBje1UiSvX5TzVRmK5az8WKFePo0aNERkZiYmLy2c/lS0pX8un06dM6l4eHh3PmzBlWr15NnTp10nOIDPXq1Svy5MmjsSw6Oppnz55RvHhx9WtAo3fIuXPnePLkSYoJkOTo6gn1uY9RtmxZGjduzNatW+nfv3+yhdR1xaJ6nTSWJ0+ecP78eWxsbFI8rqOjI//88w+jR49WZ3r37Nmj0aZo0aLkz5+fR48e0alTp486r7Zt27J06VKmTJnCokWLtHrsnDp1CkdHR6KiogA0ss2qmQiSK95ub2/P6NGj+euvv7hz545Wcim19ZD4PhoaGmoMDUzrjAe2trYaD66UKJVK7ty5Q86cOdXLdu7cibOzs1Z9sLi4OPr06UNAQIBG8unJkycfXcheCCGEEEIIIb53J0+e5OXLl+zcuZOdO3dqrQ8ICNBIPiX9XJqUqrzN9yJdySdPT0+dNXiUSiUGBgY0aNBAXcz7a9S0aVNq1apFtWrVsLS0JCQkhDVr1vD69Wv1LGDOzs6YmJgwceJEevfuTUhICL6+vuTLl++Tjlm0aFFOnjzJsWPHMDc3p3Dhwp/9GAA+Pj7s2rWLlStXMnz48GRj2b59OwcPHiRv3rxYWlqqk0MzZ85EoVAQGRnJ3Llz0zR8r3fv3rRp04Z+/frRsWNHHj9+zNKlSzWG3enp6TFq1CiGDx9OZGQkNWvWxNjYmKdPn3Lo0CGGDBmSbFIkb968TJs2jcGDB9OxY0c6depEkSJFeP36Nfv37ycgIIBTp05RrFgx8uXLx4wZMzTO4cPr2aFDB+rVq0eJEiUwMDBg+/btGBoaqhNLqa3/UNWqVVm5ciW//PIL9erV4/z58+zYsSPV6wbg6urK7t27da579eoVFy5cAP5X8+nmzZsMGTIEgPPnz/Po0SP69u2rsyB8zZo12blzJyNGjFD3yLp8+TLlypVLU2wpscqRM/VGQgiRhDw3hBBCCPFfFhAQQO7cuRk3bpzWur///pu///77o0YgqSbVunfvnta6u3fvkjNnzv98rydIZ/Jp1apVWsv09PQwNzenUKFCX/2Qnv79+/PPP/8wdepUwsLCyJkzJ/b29qxYsQI3NzcA8uTJw5w5c5g+fTo+Pj7Y2NgwceJElixZ8knHHDp0KBMmTGDAgAG8f/+eKVOm0KpVq896DEhMLDVq1Ij169fj7e2NmZmZVptevXrx8OFDRo4cSXh4OP3792fAgAH4+voyadIkBg0aRIECBejbty8nT57k8uXLKR7TwcGBOXPmMGPGDPr370+JEiWYNWuWuli2SsOGDTE3N2fhwoXqnkGFChWievXqWj3RPlS3bl3++usvFi9ezMyZM3n9+jXm5uaUK1eOZcuWqc9z3rx5qZ6Dq6sr27dv5/Hjx+jr62NnZ8fChQvVU1mmtv5D7u7uDB8+nDVr1rB161ZcXV1ZtGgRHh4eKZ4TgIeHB4sWLeL+/ftaPcz27t3L3r17AciePTvW1tZMnjyZ1q1bA4mFxo2NjZM9TosWLfj77785deoUlStXJjQ0lCtXrqRpFsXUjHL/ens2CiG+XvEJCZkdghBCCCHER4uOjmbfvn00aNCABg0aaK23tLQkMDCQgwcP6iwzo4ulpSWlSpVi+/bteHt7Y25uDsDNmzc5duwYzZo1+6znkFn0lN9bXy8hvlKtWrWidu3a9O/fP0OPs3btWlasWMG+ffvSPHvghy5dukRsbCwODg4YGxt/5gjFf11UVBT37t3D1tZW7g+hJSoqilu3blG8ePFv4ls88XlFRkZy7do1SpUqJfeH0CL3h0iJ3B8iNZ/jHtm1axdDhgzRqpGsolAoqFq1Kk5OTowdO5Y6deowYsQIrQ4Z9vb26s4fAMePH6dXr15YWVnRpk0boqOjWbNmDQkJCWzZsoUiRYp8UrxfwqVLlwA0JsnS5aN7PvXp0+ej2uvp6bFgwYKPPYwQ3x0fHx8mTJhA7969k535Lr0UCgWrVq2iX79+n5x4EkKI9FAqlcTFxWV2GEIIIYQQH83f35+sWbOqZx3/kL6+PjVr1iQgIIA3b96keb9VqlRhyZIlzJ07l7lz55IlSxYqVKjAjz/++FUnnj7GRyefgoKCyJo1K3ny5ElTgSz5gPv98vX1Zd68eerXRkZGFC5cmFatWtGjRw91/aHM9PjxY+rUqcOcOXN0dpv8kkJCQjAwMODZs2dYW1tz6tQpunTpol5vYGBAvnz5qFGjBoMHD9YoOK4SFhZG9erVMTIy4sSJE2TLlk1jvaqW1+foumlkZCS9WoROxsbGODg4ZHYY4gtLUCgw+Aqe60IIIYQQGWXhwoWptpkyZQpTpkwB4MaNGzrb6FpeuXJlKleunL4Av2IfnXzKly8fISEh5MyZkyZNmtC4ceNkZ1MTIlu2bKxcuRJIHB976tQpZs6ciVKppHfv3pkcXeL42o0bN6Y6k19Gi4qKYsGCBfz8889YW1trrJsyZQpFixYlPj6e27dvM2vWLHUx9w/t2rWL+Ph44uPjOXjwII0aNdJY7+3tzYYNG/j333/Vdc3SY+qhAzx8+zrd+xFC/LdZ5cgpNeCEEEIIIUSyPjr5dOjQIf79918CAwNZsGABv//+OxUqVKBp06Z4eHh89UXGxZelr6+Ps7Oz+rWbmxs3b95k37596U4+JSQkoFAoMDQ01FiuGtKRlqFrRkZGGvHpEhsbS5YsWTK0p9auXbuIi4ujTh3tD28lSpRQj58tX748MTExTJkyhffv35M9e3aNtoGBgRQrVoyIiAj8/f21kk/m5ubUr1+fVatWfZbk08O3r7kd+ird+xFCCCGEEEII8e36pE/TFStWZNKkSRw9epQ5c+ZgYWHBL7/8QpUqVejfvz979uwhNjb2c8cqvhHZs2cnPj5eY9mMGTNo2rQpLi4uVK9enaFDh/LixQuNNp6ennh7e7Nt2zY8PDwoW7Ys169fZ9SoUTRp0oRDhw7RrFkzypYty8GDBwE4f/48Xbp0wdnZmXLlyjFs2DBCQ0PV+3z8+DH29vbs2bNHvax27dpMmjSJxYsXU6tWLRwdHXnz5g137txhyJAhuLu74+TkRKNGjVi2bBkKhUIjzj///JN69epRtmxZ3Nzc6NatG48ePUrxmmzfvp06deqQJUvq+eDs2bOjVCq1jvvo0SPOnz9P06ZNady4MUePHtU5zrhBgwYcOnSIsLCwVI8lhBBCCCGEEEKk10f3fErK0NCQunXrUrduXd6/f8/ff//Nhg0bGDJkCP3796dfv36fK07xH6ZKNKmG3e3btw9vb2+NNqGhoXh7e2NpaUlYWBjLly/H09OTnTt3aiRkLl++zJMnTxg0aBDm5uYUKFAAgBcvXvDrr7/St29fChQoQMGCBTl//jyenp64u7sza9YsoqKimD17Nj4+PmzcuDHFmPft24e1tTVjxoxBX18fExMTbty4ga2tLU2bNiV79uxcu3YNX19fIiMj1TPUbd++nTlz5jBw4ECcnZ159+4dZ8+e5f3798keKzo6mvPnz9O8eXOd6xUKBfHx8SQkJHDr1i2WLVtGlSpVMDMz02gXGBgIQJMmTQgPD2fZsmXs2bOHDh06aLRzcXEhISGBf//9N9PrXAkhhBBCCCGE+PalK/mkEhsby9GjRzlw4ABXr14la9asFCpU6HPsWvzHRUZGUrp0aY1ljRo10hpypyrIBonD6VxcXKhRowYnT56kWrVq6nVv377lr7/+Uiedki5fvHgxTk5O6mVjxoyhTJkyzJs3T1343s7OTt1Lyt3dPdm44+LiWLx4scYUnEkLwCmVSsqVK6eeAlOVfAoODsbe3l4juaZrCs6krl27RlxcHPb29jrXt2vXTuO1vb0906ZN02q3c+dOnJ2d1bMhFC1alICAAK3kk7m5OQULFuTixYuSfBJCCCGEEEIIkeE+OfmkUCg4duwYO3fuZP/+/URHR1O5cmV++eUX6tWrp/GhXXy/smXLxpo1a4DEJOWVK1eYO3cuY8eO1Ug4HTp0iAULFnDr1i0iIiLUy+/fv6+RfLKzs9NKPAFYWFhoJJ6ioqI4d+4cI0aMICEhQb3cxsaGAgUKcOnSpRSTT5UqVdK6h2NiYli0aBEBAQE8e/ZMY6pwVf0lBwcH1q1bx5QpU6hXrx5OTk5aNak+9PLlSwBy5cqlc/20adMoVqwYSqWSR48eMW/ePHr27Mn69evVNZ+uX7/OrVu3GDt2rHq7xo0bM2/ePJ4+fUrBggW1rpfquEIIIYQQQgghREb66OTTuXPnCAwMZM+ePbx58wYnJyeGDBlCw4YNk/3wLL5f+vr66mLZAOXKlSMhIYGpU6fSvXt37OzsCA4OxsfHhzp16tCrVy9y586Nnp4e7dq1IyYmRmN/efLk0XmcD5eHh4eTkJCgMc1lUs+ePUsx7ty5c2st+/3339m8eTP9+vWjTJkymJmZceDAARYsWEBMTAzZs2enVatWvH//nk2bNrFixQrMzMxo0aIFw4cPJ1u2bDqPpTrH5AqkFytWTH0NHR0dsbGxoVWrVmzbto3OnTsD4O/vj76+PtWqVSM8PBwAd3d3fH19CQwM1OppZmRkpHVthRBCCCGEEEKIjPDRyacffviBbNmyUaNGDZo0aaIeXvfs2bNkP9B/OOxKfN+KFi0KwO3bt7Gzs2P//v2Ympoye/Zs9YxyT5480bmtavhcasvNzMzQ09PD29tb57C3nDlzphijruPs2bOH9u3bayRyDh06pNFGX1+frl270rVrV0JCQti5cyczZ84kZ86cydZAy5EjB5CYMMubN2+KcUFiMgrg1q1bQOIQwF27dqFQKHQOowsICNBKPr17944SJUqkeiwhhBBCCCGEECK9PmnYXXR0NPv27ePvv/9OsZ1SqURPT49r1659UnDi26RKmqgSQNHR0RgaGmokfAICAtJ1DBMTE5ydnbl7965Gz6v0iImJ0RhCl5CQwM6dO5Ntny9fPry8vAgMDOTu3bvJtrO1tQUSZ95TJZZScvPmTeB/1+/MmTM8e/aMAQMGUKFCBY22R44cYfHixdy4cUNdU0qhUPD06VNat26d6rGEEEIIIYQQQoj0+ujkk64hTEIkR6FQcOHCBSCxiPeVK1dYsGABxYsXp3z58gBUrVqVlStXquuFnT9/nh07dqT72CNGjKBr164MHjyYxo0bY25uzvPnzzl+/DitWrWiUqVKH7W/KlWqsHnzZooXL07OnDlZt24dsbGxGm3GjRuHubk5zs7OmJubc+7cOa5fv07Hjh2T3W+RIkXImzcvV65c0VmH6tatWyQkJKBQKHj06BHz58/H2NiYFi1aAImJOhMTE7p3766uAaVSokQJVqxYQWBgoDr5dO/ePSIjI9XXPz2scqTcg0wI8X2QZ4EQQgghhEjJRyefWrZsmRFxiG9UdHQ07du3ByBLlizkz5+fZs2a0b9/f3UvInd3d4YPH86aNWvYunUrrq6uLFq0CA8Pj3Qd29XVlXXr1uHr68vo0aOJi4sjf/78uLm5YW1t/dH7+/nnnxk/fjy//PILxsbGtGzZknr16mkU+XZxcWHTpk1s3ryZqKgoihQpwujRo2nbtm2K+27QoAGHDx/Gx8dHa93o0aOBxKGAefLkoWzZssyZMwcbGxvi4uLYu3cvdevW1Uo8QWIRc3d3dwIDAxk6dCh6enocPnyYQoUKfZYeYaPc66R7H0KIb0OCQoHB/w+dFkIIIYQQKdu9ezf+/v5cuXKF8PBwrK2t8fT0pHXr1hqjgjZv3sySJUt4+vQptra2DBkyhFq1aqnXBwcHs379es6cOcOLFy/Ily8fHh4e9O3bV2MSrUuXLrFu3TouXLjAvXv3cHd3Z9GiRV/sfPWUSqXyix1NCKHT9evXadmyJfv371fXUcsorVu3platWvTv3/+T93Hp0iViY2NxcHDA2Nj4M0YnvgVRUVHcu3cPW1tbuT+ElsjISK5du0apUqVkZlyhRe4PkRK5P0RK5P4Qqfna7pH27dtTqFAh6tatS86cOTl+/DhLliyhX79+6s9qO3fuZNiwYfTp0wc3Nzd27drFli1bWLt2Lc7OzkDi7OgXL16kefPm2NjYcPv2bebOnYu9vT2rVq1SH2/lypWsWbMGR0dHzp8/T4kSJT5L8unSpUsAqXZu+KSaT0KIz6tkyZLUrl2bVatWqXs6ZYTTp0/z6NEjunTpkmHHEEIIIYQQQgiRsgULFpArVy7168qVK/PmzRuWL1+Oj48P+vr6zJ07l8aNGzN48GAA3NzcuHnzJn5+fixevBiAXr16aeynUqVKmJubM3z4cC5fvkyZMmUA8PT0pGvXrup/f2nSP/4j+fr6Ym9vr/6vUqVKdOzYUWvWMwB7e3uWLl362WOoXbs2kyZNSrVdcHAwbm5ueHp68vDhQxo2bMjz588/ezwq4eHh2Nvbs3Xr1gw7horqfejUqZPWusmTJ1O7du0Mj+Fz+/HHH7ly5QoDBw5UL9u6davG/VamTBnq1q3LzJkziYqK0rmfq1evYm9vT7169bTWRUREUKZMGaZPn57ueI2MjKRXi9DJ2NhYesWlIEGhyOwQhBBCCCFEJkuaMFIpVaoUERERREZG8ujRI+7fv0/Dhg012jRq1IgTJ06o6w/r2o+DgwMAL168UC/Tz+TyCNLz6RNky5aNlStXAolv5sKFC+nTpw9r167F1dVV3W7jxo0ULFgws8Jk27ZtNGvWjGzZstGiRQuqVatG/vz5My2ejHDmzBlOnTr10cXDv0bGxsZcunSJtWvXaq1bsmQJZmZmxMXFcenSJWbPns3bt291JiFVMwU+fPiQixcv4uTkpF5Xq1YtihYtSuPGjenZsyc2NjbpinnqoQM8fPs6XfsQ4ntilSOn1EoTQgghhPiM/n3xjMAHd3nyPiLFdoqEBKKiojB+E4K+gcFnjaFQdlOaWBelomWBdO3n7Nmz5MuXD1NTU86ePQv8b3Z0lWLFihEXF8ejR4+SnS1dtW3RokXTFc/nJMmnT6Cvr68eXwng5OSEu7s727dv10g+JW2TGcaPH6/+99ChQzMxkoxhYmJC8eLFmT9//jeRfNq4cSPW1tbqbpFJlS5dWp3RrlChAs+fPycgIEAr+aRQKNi1axflypXj8uXLBAQEaCSfAKytrXF1dWXt2rWMGTMmXTE/fPua26Gv0rUPIYQQQgghhPgU/754xuBj/5DwMaWsY6M/exyXw16x//ED5lStTQXLT+vwcebMGXbt2sXIkSMBePv2LQDm5uYa7VSvVes/FBYWhq+vL3Xq1El3Z4PPSYbdfQb58uUjV65cPH36VGP5h8PugoKC6N69O5UrV8bV1ZW2bdty+PBhrf2FhIQwYsQIqlSpgqOjIw0aNFD3tEpq7dq11KpVi3LlyuHj40NYWJh6XWRkJJMmTcLDwwMnJydq167NuHHjePfuncY+FAoF8+fPp3bt2pQpU4YGDRqwYcOGNJ33pk2bqF27Nk5OTnTt2pUHDx5otdm+fTsdO3akYsWKVKhQAU9PT4KDgzXaPH/+nEGDBlGlShXKli1L7dq1+e2339IUg4+PDydPnuTcuXMptgsPD2fChAlUq1aNMmXK0KpVK44ePape7+vrS8WKFYmLi9PY7ubNm9jb23PkyBH1sqCgINq2bYujoyNubm6MHz+eyMhI9fq4uDimTZtGzZo1KVOmDNWqVaNPnz5a1/5D27dvT/MMf9mzZyc+Pl5r+enTp3n+/DkdOnSgZs2a7Nq1i4SEBK12DRo0ICAgQOc+hBBCCCGEEOK/IPDB3Y9LPGWgBKWSgAd3Pmnb58+fM2TIECpVqpSu+rxxcXHqjicTJkz45P1kBOn59Bm8f/+et2/fUrhw4RTbPX78mFq1auHl5YW+vj6HDx+md+/erFy5Ut1z5/Xr17Rv3x6AIUOGULhwYR48eMDDhw819nXw4EEePHjAuHHjeP36NVOmTOGXX35h1qxZAERHR5OQkMCQIUPIlSsXz549Y+HChfj4+LB69Wr1fqZPn86qVavo27cvLi4uBAUFMX78eOLj4+ncuXOy5/LPP//w888/06pVKxo1asSVK1cYNGiQznNu0aIFVlZWxMbGsnPnTjp16oS/v7+6++CIESN48eIFY8eOJXfu3Dx79ozLly+n4conDiNzcHDAz88v2fpasbGxdO/endDQUAYPHky+fPnw9/fH29tbXVOpcePGzJs3j6NHj2pMW7lz505y585NlSpVANizZw9DhgyhVatWDBgwgJcvXzJz5kzCw8PV137RokVs2LCB4cOHU6JECV6/fs2xY8fUY3J1efDgAU+ePNHoOZeUQqEgPj5ePexu8+bNOhNVAQEBGBsbU7duXbJly8bevXs5fvw41atX12jn6urK69evuXbtWqqzEgghhBBCCCGEyBjh4eH06tULCwsLfH191bWZcuTIAcC7d+/ImzevRvuk61WUSiU//fQTwcHBrFu3DktLyy90BmkjyadPpOox8uLFC37//XeyZ8+eaoYyaTJHoVBQqVIlbt++zaZNm9TJpxUrVhAaGsru3bvVyazKlStr7UupVLJgwQKMjIwAePLkCYsWLUKhUKCvr0+uXLmYOHGiRryFCxfmhx9+UE+BHhYWxpo1a+jRowcDBgwAoFq1arx+/Ro/Pz86duyIQTJjYRcsWED58uWZMmUKANWrVycmJob58+drtFNNEak656pVqxIcHMy2bdvUGdlLly4xdOhQGjVqpG7bokWLFK9lUn379mXAgAEEBwfj6OiotT4gIIDr16+zY8cOihcvro73wYMHzJ8/nzlz5lC0aFEcHBwIDAzUSj41aNAAAwMDlEol06dPp1GjRkyePFndJm/evPTu3RsfHx9KlCjBpUuXqFatmkYx9NR6NKmmp7S3t9e5vmrVqhqvK1asqDUrXmxsLPv27aN27dqYmJhQs2ZNzMzMCAgI0Eo+FS9eHAMDA4KDgyX5JIQQQgghhPhPamJdlP2PH3wVvZ8M9PRoaq27BlNyoqOj8fb25t27d2zcuBEzMzP1OlW9prt372rUbrp79y6GhoYUKVJEY1/Tpk1j9+7dLF68mJIlS6bjTDKGJJ8+QWRkJKVLl1a/NjAwYP78+akW83r+/DmzZs3i+PHjvHz5EuX//4Ak3deJEydwc3NLtRdVhQoV1Ikn+F/RsdDQUHVWdPv27axYsYIHDx5oDAu7f/8+tra2BAcHExcXR4MGDTT23bBhQwIDA7l//77OAmYJCQlcuXKFH3/8UWO5h4eHVvLpzp07/PHHH5w/f57Q0FCNGFQcHBxYtmwZBgYGVK1aFWtr6xTP/UP16tXDzs4OPz8/Fi1apLX+2LFj2NnZYWNjozHMrEqVKvj7+6tfN27cGD8/P6Kjo8mWLRvBwcE8evSIxo0bA3Dv3j2ePHnCTz/9pLGfihUroq+vz+XLlylRogQODg4sXboUX19f3N3dKVOmTKozC7x8+RJ9fX1y5sypc/2KFSswNTUlISGB27dvM3fuXPr378/SpUvV+z58+DBv376lSZMmQOJsdPXq1WPPnj3qc1LJkiULZmZmGrMfCCGEEEIIIcR/SUXLAsypWpuAB3fSXnDc2DhDCo43tS72UfWe4uPjGTx4MHfv3mXt2rXky5dPY32RIkWwsbFhz5491K1bV718165dVK5cWSMf8Oeff7JixQpmzJihs/PK10CST58gW7ZsrFmzBqVSyf3795k5cyYjR44kICAg2a5tCoWCvn378u7dOwYOHIi1tTXGxsbMnTuXZ8+eqdu9efOGEiVKpBrDh0XHVDdeTEwMAH///TcjR46kffv2DBkyBAsLC16+fEm/fv3UbVQFyvLkyaOxL9XrN2/e6Dx2WFgY8fHxWlM6frifiIgIvLy8yJUrF6NGjaJgwYJkzZqVsWPHqmMAmDVrFrNmzWL27NlMnDgRW1tbhg4dSv369VO9DgB6enr06dOHoUOHcuXKFa31r1+/5urVqxpJPpWkPbsaN27MjBkzOHjwII0aNSIwMJBChQqph8K9fp04q1u/fv10xqF6H/v27Yu+vj7btm1j3rx55MqVi06dOtGvXz/09PR0bhsTE0OWLFmSXW9vb6++3s7OzpibmzNgwAAOHTqk7qkVEBCAmZkZzs7O6q6YtWrVYuvWrepzSsrIyEjjfRBCCCGEEEKI/5oKlvnTlPSJjIzk2rVrlCpVChMTky8QWcomTpzIP//8w6hRo4iIiODChQvqdQ4ODhgZGTFgwACGDx+OlZUVlSpVYteuXQQHB7NmzRp124CAAGbOnEmzZs0oXLiwxn6srKzUnyPDwsL4999/1f9+//49e/bsAcDd3R1jY+MMPV9JPn0CfX199VAlR0dHbG1tadeuHX5+fhpD3ZJ68OABV69exc/PTyNrGR2tWWnfwsLis/RG2bNnD6VKldKYDU11oyU9FkBoaKhGlvXVq1ca6z+UK1cusmTJolHgPOl2KhcuXOD58+csWrRIo9vfu3fvyJ//fw8HS0tLpkyZgkKh4PLlyyxYsIAhQ4awZ88era6EyWnYsCG+vr7Mnz+fggULaqzLkSMH9vb2GkPldClQoACurq7s2rWLBg0asHv3bpo3b65OCKmux7hx43QO71MlHlUPiQEDBvDgwQO2bNmCr68vhQsXTnY4YY4cOYiNjSUmJoasWbOmer6qHmm3bt2iVq1aREREEBQURHR0tM5Mt7+/v1by6d27d8m+x0IIIYQQQgghMs6xY8cAmDp1qta6AwcOULhwYZo0aUJUVBSLFy/mzz//xNbWlnnz5uHi4qK1H39/f42RPQBTpkyhVatWQOJnxw/rNKteq46XkST59BmULVuWxo0bs3XrVvr3769RDExF1cPE0NBQvezJkyecP39eY/rDypUrs2zZMp4+faqVRPkY0dHRGseCxIzoh3EbGhqyZ88eHBwc1Mt3795N7ty5k52W0cDAAAcHB/7++2+6deumXr53716tGEDznM+dO8eTJ0909u7S19fH0dGRwYMHqwuqpzX5pK+vT58+fRg1ahQVK1bUWFelShUOHTqEpaWlVlfGDzVu3JipU6fyzz//8OLFC/UQNkgcc5s/f34ePXqkUc8pJdbW1gwdOpSNGzdy9+7dZNupiq8/fvxY51DHD928eRNAPUxv//79REdHq3uOJbVt2zYCAwN58+aNOtkUFhZGVFSUVlshhBBCCCGEEBnv4MGDaWrXtm1b2rZtm+z6qVOn6kxgfahSpUrcuHEjzfF9bpJ8+kx8fHzYtWsXK1euZPjw4VrrVYmLmTNnolAoiIyMZO7cuVrD9Lp168aOHTvo3Lkzffv2pUiRIjx69Ij79+9r1VhKSZUqVZg0aRJ+fn64uLhw6NAhTpw4odEmV65cdO7cmaVLl2JkZISzszOHDh0iMDCQn3/+Odli4wB9+vTBx8eH0aNHq2e727Fjh0YbZ2dnTExMmDhxIr179yYkJARfX1+NBNC7d+/o0aMHzZs3x9bWlri4OFavXo25ublGQiwtmjZtip+fH6dOnaJQoULq5S1atGDDhg106dIFLy8vbGxsePfuHVevXiUuLo5hw4ap2zZs2JDffvuNCRMmULx4cY0eW3p6eowaNYrhw4cTGRlJzZo1MTY25unTpxw6dIghQ4Zga2uLj48PpUuXxsHBAWNjY/755x/evn2Lm5tbsrE7OjqSJUsWLl++rDP5dOXKFczMzIiPj+fu3bvMnTuXPHnyUK9ePSAxsVioUCHat2+vNXQvR44cbNu2jT179tChQwfgfwXOy5Ur91HX+ENWOXTXqBJC6CY/M0IIIYQQ4nskyafPpGjRojRq1Ij169fj7e2tUaUeEodi+fr6MmnSJAYNGkSBAgXo27cvJ0+e5PLly+p2OXPmZP369cycOZMZM2YQFRVFoUKF+OGHHz4qng4dOvD48WPWrFnD0qVLqVatGjNnzqRdu3Ya7UaMGIGZmRl//fUXCxcupFChQkycOFGdpEhOnTp1mDhxIgsXLmTnzp04OTkxe/ZsjYxsnjx5mDNnDtOnT8fHxwcbGxsmTpzIkiVL1G2yZs2KnZ0dq1ev5tmzZ2TLlo0yZcqwdOlSrZpSqTEwMKB3796MHTtWY7mRkRGrVq3C19eXhQsX8vLlSywsLHBwcNC6rrly5cLNzY2jR4/SsWNHrWM0bNgQc3NzFi5cqO5JVqhQIapXr66ueeXq6sru3btZvnw5CQkJ2NraMmPGDKpUqZJs7CYmJlSvXp3Dhw/TvHlzrfU9e/YEEnt45cuXDzc3NwYNGoSFhQWhoaGcOHGC3r1766wZVbJkSUqVKkVAQID6fT1y5Ajly5fXqtP1sUa510nX9kJ8jxIUCgxSmYRACCGEEEKIb4meUvkVzEkohODgwYMMGzaM48ePZ2ixt/j4eGrWrMnw4cOTrUGVmkuXLhEbG6vu3SVEUlFRUdy7dw9bW1u5P4SWr63Yp/i6yP0hUiL3h0iJ3B8iNXKPZAzVqBpVXezkfLNfve7fvx9XV1d1bRwhvna1atXC1taWzZs3Z+hxAgMDyZ49u0Y9KyGEEEIIIYQQIqN8VcknX19fjartnyokJISff/6ZGTNmYGdn98mx2Nvb6/zvzz//THHbFStWYG9v/0nH/dwmT55M7dq1P8u+VOe/fv16rXXHjh1Tr3/8+PFnOd6n+PAeOnXqFPb29upsbEpmzpyJq6src+bM4cSJExrF1L+EsLAw7ty5Q3h4uHpZ7dq1Ne69SpUq0aVLF86cOZPsfvr27Yu9vT3bt2/XWvf48WPGjh3L4MGDyZIlfaNujYyMpFeL0MnY2Pg/0ysuQaHI7BCEEEIIIYT45n1zNZ8UCgUjRoygW7du6U66ZMuWjZUrV2otL1CgQLr2+19mYmLCrl27tOohBQYGYmJiQmRkZCZFln7r1q1jypQprF+/nhUrVvDbb7990eMvWLCAypUr079/f43lHh4eeHl5ARAaGsrKlSvp2bMn/v7+WFlZabR98+YNR44cARLfkw+H1RUuXJjGjRsTFBREw4YN0x3z1EMHePj2dbr3I0RmsMqRU+qWCSGEEEII8QV8c8knfX19nQmjT92Xs7PzZ9lXRoqOjiZbtmxf5Fh16tRh586dhISEqGeti42N5e+//6Zu3br4+/t/kTgywtmzZ4HEZM+X9v79e7Zs2cL06dO11uXJk0fjPixfvjyVKlXiyJEjdOrUSaPt3r17iYuLo0qVKpw4cYLQ0FBy586t0aZNmzZ0796dkSNHfnRR9w89fPua26Gv0rUPIYQQQgghhBDftq9q2F1qkhuWV758eXx9fdWvPT098fb2Vr9+/vw5gwYNokqVKpQtW5batWt/tl4tERERjBgxAhcXF9zc3Jg+fToJCQkabbZu3Yq9vT1hYWEay5s3b86oUaPUr8+fP0+fPn2oVq0azs7ONG/eXGvolGoYWVBQEAMHDsTV1ZVBgwYBicMN+/Tpg5OTE9WrV2fx4sU6Y75x4wY9evTA2dmZcuXKMXDgQJ4+fZqm8y1VqhQ2Njbs2rVLvezQoUMolUpq1qyp1X7ZsmW0bt2acuXKUblyZby9vbl3755Wuw0bNlCrVi2cnJzo3r07V69exd7enq1bt6rbbN++nY4dO1KxYkUqVKiAp6cnwcHBaYo7PDycYcOG4eLiQq1atbSuTVquvWo/EyZMoFq1apQpU4ZWrVpx9OhRjTZnz56lU6dOlCtXDhcXF5o2bcq2bdtSjG/v3r0A1KhRI9VzMTY2xsDAgPj4eK11gYGBWFtbM2rUKOLj4zXeJ5Vy5cphYWGhnq1PCCGEEEIIIYTISN9czyddRowYwYsXLxg7diy5c+fm2bNnXL58OU3b6vqAn7RWzk8//cSRI0cYPnw4hQsXZt26dQQGBn5SnE+fPsXV1ZWOHTtiZGTEuXPnGDt2LEqlkpYtW2q0/fnnn2nWrBl+fn7o//+U3T4+PoSEhDBhwgTMzMxYvHgxz54904j32bNndO7cmSJFivD7778TExPDrFmz6Ny5M/7+/piamqYaZ+PGjQkMDKR79+5AYsKjXr16ZM2aVavt8+fP6dy5MwULFiQiIoINGzbQoUMH9u7di4WFBQAHDhxg/PjxtG3bFg8PD65du8bgwYO19vX48WNatGiBlZUVsbGx7Ny5k06dOuHv74+trW2KMY8fP57mzZvj5+fH/v37mTFjBvb29upkT1qufWxsLN27dyc0NJTBgweTL18+/P398fb2VicYIyIi8Pb2ply5cvzxxx8YGRlx+/ZtjTpOuhw/fhwHBwed11CpVKrvw7CwMBYsWICBgYFWsu/58+ecPn0aHx8f7O3tsbOzIzAwEE9PT412+vr6ODk5cfz4cbp27ZpiXEIIIYQQQgghRHp9F8mnS5cuMXToUBo1aqRelpYp5iMjIyldurTW8rVr11K+fHlu377Nvn37+PXXX2nTpg0A1apVo379+p8UZ+PGjdX/ViqVVKhQgZCQEDZu3KiVfKpduzY//vij+vXhw4e5fPkyK1asoHLlygBUqlQJd3d3dZIHEouhx8fHs2zZMvXyUqVK0bhxY7Zt26aVqNClSZMm+Pr68vDhQ3Lnzk1QUBB+fn5ER0drtf3pp5/U/05ISKBq1apUrlyZvXv30r59eyCx1pGbmxu//vorANWrVyc+Pp45c+Zo7CtpLSSFQkHVqlUJDg5m27ZtDB06NMWY69evz4ABAwCoXLkyQUFB7N27V518Ssu1DwgI4Pr16+zYsYPixYurY33w4AHz589nzpw53Lt3j3fv3jF06FB10XnV+5GSS5cuUbVqVZ3r1q1bx7p169Svs2XLxrRp07C2ttZoFxgYiFKpVM9i17RpU2bOnMnDhw+1akOVLFmStWvXphqXEEIIIYQQQgiRXt9F8snBwYFly5ZhYGBA1apVtT60JydbtmysWbNGa3nRokWBxISBUqmkXr166nUGBgbUrVuXFStWfHScb9++xdfXlwMHDhASEqIevpc0eaTyYa+X4OBgzMzMNBIdZmZmVKlShatXr6qXnTlzhkqVKmnss1ixYpQsWZKzZ8+mKflkY2ND6dKlCQwMpFChQmTPnp3KlSvzzz//aLW9cOECc+bM4erVq7x580a9/P79+0BiQuratWuMGDFCY7s6depoJZ/u3LnDH3/8wfnz5wkNDdXaV0qqVaum/reenh7FihXj+fPn6mVpufbHjh3Dzs4OGxsbjR5xVapUUde6srKywtTUlAkTJuDp6Ymbm1ua6iq9fPky2XYNGzakR48e6jgDAwMZMWIE5ubmGgmrwMBASpcurb4/GzduzB9//EFAQAD9+vXT2GfOnDl5/fo1cXFxGBoaphqfEEIIIYQQQgjxqb6L5NOsWbOYNWsWs2fPZuLEidja2jJ06NBUeyjp6+tTtmzZZNe/fPkSQ0NDcuTIobH8wwLPaTVq1CjOnz9Pv379KF68OKampqxfv57du3drtf3wGC9evNCZvPiwXXh4OKVKldLZ7u3bt2mOtUmTJmzZsoWCBQvSsGFDDAwMtNo8ffoULy8vypQpw8SJE7G0tMTQ0BBvb29iYmKAxGFk8fHxWrF/GHdERAReXl7kypWLUaNGUbBgQbJmzcrYsWPV+0qJmZmZxmtDQ0PevXunfp2Wa//69WuuXr2qszec6vxz5MjB8uXLmTt3LiNGjCAhIYHy5cszduxYdU8oXWJjYzEyMtK5LleuXBr3YdWqVbl69SozZ85UJ5/u3LnDtWvXGDBggHqIn5mZGWXKlCEwMFAr+aQ6VkxMjCSfhBBCCCGEEEJkqP9U8ilr1qzExcVpLIuLiyMyMjLF7SwtLZkyZQoKhYLLly+zYMEChgwZwp49eyhSpMgnx5M3b17i4uJ4+/atRgIqaa8cVdyqWJNKWgcoJiaGoKAgRo0apdH7KOlwq6T09PQ0XltaWmoVNNcVS44cObSWqdrZ2NjoPJYujRo1Yvr06dy9ezfZ4VtHjhwhMjKSefPmYW5uDiTW0Eqa5MqVKxdZsmTRiv3DGC9cuMDz589ZtGgRJUuWVC9/9+4d+fPnT3PcuqT12ufIkQN7e3smT56c4v4cHR1ZsmQJ0dHRnDp1imnTptGvXz/279+f7DY5cuRItS6Uip6eHkWLFuXgwYPqZaqeV76+vhrF91WuXLmikTQLDw/H0NAwTTW+hBBCCCGEEEKI9PhPzXaXL18+4uLiePjwoXrZyZMntWaXS46+vj6Ojo4MHjyY+Ph4Hjx4kK54VL1R/v77b/WyhIQErSRDvnz5ALh796562Z07d3j27Jn6dWxsLAqFQqMXSkREhEaCIbVY3r17x4kTJ9TL3r17x/HjxzXalStXjpMnT2okgO7evcuNGzcoV65cmo4FkD9/frp27UqTJk1wdXXV2SY6Oho9PT2Ngue7d+/WGLJmYGBAqVKlOHDggMa2H15DVT2ppNfn3LlzPHnyJM0xJyet175KlSo8evQIS0tLypYtq/Xfh7Jly4a7uzsdO3bk8ePHKfbQsrW15fHjx2mKV6lUcufOHXLmzKletnPnTpydnVm1apXGf0uXLsXQ0FBrZrsnT56kWqRdCCGEEEIIIYT4HL66nk8JCQns2bNHa7mjoyM1atTAxMSEsWPH0qtXL54/f86qVat0zhCm8u7dO3r06EHz5s2xtbUlLi6O1atXY25ujoODQ4qxKBQKLly4oLU8d+7cFClShOLFi1OvXj1+++03YmJi1LPdfdjDycnJiQIFCvDbb78xbNgwIiIi+PPPPzXqCZmZmVG2bFkWL16s7g30559/YmpqqrNH04dq1KhB6dKl+fHHHxk+fDhmZmbq7ZPq1q0bW7duxcvLi759+xITE8Ps2bMpUKCAVlHz1IwePTrF9W5ubup2HTp04NatWyxfvlzdC0qlb9+++Pj4MHbsWBo0aMDVq1fZvn07gHomP2dnZ0xMTJg4cSK9e/cmJCQEX19fdWIvPdJ67Vu0aMGGDRvo0qULXl5e2NjY8O7dO65evUpcXBzDhg0jKCiIv/76i7p161KwYEFevXrFmjVrcHV1TfE+dXV11Tm8EuDVq1fq+1BV8+nmzZsMGTIEgPPnz/Po0SP69u1LpUqVtLavWbMmO3fuZMSIEerrefny5Y9KNibHKkfO1BsJ8ZWS+1cIIYQQQogv46tLPsXExDBo0CCt5dOnT6d58+bMnTtXPYypVKlSTJ8+PcUi2VmzZsXOzo7Vq1fz7NkzsmXLRpkyZVi6dGmqhaCjo6PVM7Il1aZNG/XQq99++41JkyYxY8YMjIyMaNmyJRUrVmT69Onq9oaGhsybN48JEyYwaNAgrKys+Omnn5g6darGfmfOnMm4ceMYNWoUFhYWeHp6EhkZybJly1KMExKHYs2fP5/x48czbtw4zM3N8fT05NWrVxq9igoUKMDq1auZPn06w4cPR19fn6pVqzJq1KjPPgTL3t6eKVOmMG/ePLy9vSlVqhRz5sxh8ODBGu3q1KnDhAkTWLRoEf7+/jg5OTFhwgS8vLzUMeXJk4c5c+Ywffp0fHx8sLGxYeLEiSxZsuSzxJqWa29kZMSqVavw9fVl4cKFvHz5EgsLCxwcHPjhhx+AxILj+vr6zJ49m9DQUCwsLKhWrVqqs/F5eHiwaNEi7t+/rzX8ce/evezduxeA7NmzY21tzeTJk2ndujWQWGjc2NgYDw8Pnftu0aIFf//9N6dOnaJy5cqEhoZy5cqVVGNKSVxcHEqlksa5LCGX5SfvR4jMdunSpcwO4bujVCoBuH37ttYQciHk/hApkftDpETuD5EauUcyRmxsbJqup55S9Q4I8RXZvHkzY8eO5cCBAxQuXDizw/kiWrVqRe3atenfv3+GHmft2rWsWLGCffv2ffJD9/z58yiVSilWLoQQQgghhBDfsbi4OPT09HBxcUmx3VfX80l8f968ecO8efNwc3Mje/bsXLp0iYULF1KnTp3vJvEE4OPjw4QJE+jdu3eyM9+ll0KhYNWqVfTr1y9d2f7UHixCCCGEEEIIIYSKJJ9EpsuSJQuPHj0iMDCQd+/ekTNnTpo3b87w4cMzO7Qvqm7dujx48IBnz55hbW2dIcd48eIFLVu2pFmzZhmyfyGEEEIIIYQQ4kMy7E4IIYQQQgghhBBCZBj9zA5ACCGEEEIIIYQQQny7JPkkhBBCCCGEEEIIITKMJJ+EEEIIIYQQQgghRIaR5JMQQgghhBBCCCGEyDCSfBJCCCGEEEIIIYQQGUaST0IIIYQQQgghhBAiw0jySQghhBBCCCGEEEJkGEk+CSGEEEIIIYQQQogMI8knIYQQQgghhBBCCJFhJPkkhBBCCCGEEEIIITKMJJ+EEEIIIYQQQgghRIaR5JMQQojPLiEhAQClUpnJkQgh/qsUCkVmhyCE+I+S54cQXx9JPgkhPlpcXBwhISHcv3+fuLg49XJJNAiAd+/e4eHhweXLl9HT08vscIQQ/zFRUVHEx8ejry9/pgohPo48P8THkM8uX1aWzA5ACPHfEhERgbe3N2FhYdy7d4/KlStTrVo1evToIYkGQUREBG3atCFnzpxYWlpmdjjiKxQdHc2JEycICQnB0dGRPHnyYGlpiVKplGeIICIigmrVqvHDDz8wYsSIzA5HfGXk+SFSIs8PkZKoqCj27t3Ls2fPcHBwwMbGBmtra3l+fEGSfBJCpFlsbCzdunXD1NSUwYMHY2BggL+/P4sWLeLy5cvMnDlTvmn6jkVERNCsWTOsrKyYOnWqJJ+EloiICDp27EhUVBSvX78mS5YsWFtbM3ToUNzc3DI7PJHJIiIiaNGiBS4uLnh6emZ2OOIrI88PkRJ5foiURERE0K5dOyCxh76enh4KhYIxY8bQsGHDTI7u+yGfEoUQaXb9+nXevn3LoEGD8PDwoG7duvz8888MHz6cI0eO0LdvX+Lj4wHpxvq9iYqKol27dmTPnp3Zs2eTP39+AJ48ecL169c5f/48L168yOQoRWZKSEhgzJgx5MyZEz8/P06fPq1+7eXlhb+/f2aHKDLR+/fvadmyJTY2Nvz222/qZ8iH5HfL90meHyIl8vwQKVEoFPz2229YWFgwf/58jhw5wu+//0716tUZOnQoixYtIjo6OrPD/C5IzychxEd59eoVUVFRQOLDPG/evDRv3hwLCwvGjBnDsGHDmDNnjnRf/c7cuHGDe/fuUb58ea5du0blypU5ePAgU6ZM4eXLl0RHR2Nvb0/Lli3p1q1bZocrMkF0dDQPHjygQYMG2NvbA9CsWTPKli1L3rx5GTVqFAqFghYtWkgX+O9MbGwsHTt2JDw8nOHDh1OgQAEALl26xPXr17l79y7lypXD3t6eIkWKyP3xHZLnh0iOPD9EauLj47l//z5ly5bFxsYGgEqVKlGqVCkKFy7M7NmzUSgU9O3bN3MD/Q5I8kkIkWbm5uYYGhpy7tw5qlSpglKpRKlUkjVrVtzd3Rk1ahRTpkxh/vz5+Pj4ZHa44gtydnZm4cKFjBs3jlWrVnH27FkWLlxIhw4dqFixItmyZWPZsmUsX74cAwMD6RL/HVIqlejr6/Pu3Tsg8Y/BLFmyYGtry4ABA9DX12f06NFYWlpSpUqVTI5WfElGRkbY29sTFhZGQEAAJUuW5NChQwwfPpysWbMSFRXF+vXrcXBw4KeffqJMmTKZHbL4wuT5IZIjzw+RGgMDA0xNTQkJCUGhUKhLhJibm+Pt7Y2enh5z586lSJEiNGnSRBKUGUhPKf0PhRAfYd68eSxcuJDly5dToUIFEhIS0NfXR09Pj7CwMKZPn879+/dZvHgxZmZmmR2u+AKS/pIOCgpizJgxREZG0qtXL3r06EHWrFkBuHPnDuPGjSMuLo6lS5fK/fEdGjFiBGfOnOGvv/4iV65cxMXFYWhoCMCDBw+YNm0aT548Yf78+RQqVCiToxVfQtIPAuPGjSMoKAhHR0eOHTtG9+7dadCgAXZ2dqxdu5ZNmzZhbm7O9OnT1b0bxPdDnh/iQ/L8EGk1Y8YMtmzZwuLFiylTpozG364RERFMnz6dvXv3smbNGkqUKJHJ0X67pOaTEOKjtGrVCjc3N/r06UNwcDAGBgYoFAoUCgW5cuWidevWXLhwgYcPH2Z2qOIL0dPTU9dRqFmzJlOnTqV8+fLUqlVLnXiKj4+nWLFidO7cmeDgYJ4+fZqZIYsvTKFQADBkyBCUSiXDhg0DwNDQkLi4OACsra1p3rw5L1++5PHjx5kWq/iy9PX1SUhIAGDSpEnUrFmToKAgOnXqRM+ePbGzswOgU6dOtGrVikuXLsnvl++MPD9EcuT5IVKj+vt04MCBWFpaMn78eMLDw9UFxwFMTU1p1aoVZmZmXLlyJTPD/eZJ8kkI8VEKFixInz59sLe3x8vLizNnzmBgYKD+5snAwIBChQqpkw7i+5A0AVW9enV+/fVXSpUqBST+4s+SJXGUd2hoKHny5CFnzpyZFqv48lTPh7x58zJo0CCCg4Pp168foPkB0sPDAwMDA/79999Mi1V8eQYGBhofIPv370/FihUxMTEBUN8fP/zwA7GxsVy+fDnTYhVfnjw/RErk+SFSovr71MjIiLFjx/Ly5Uv69u1LREQE+vr66r9dnZ2dMTQ05OLFi5kc8bdNkk9CCC2qbwI+HJWrel2+fHmGDh2Ko6Mj3bp1Y+nSpVy9epX79++zbds29PX1JbnwDUvu/kg6Pj5fvnxA4h99quVhYWH8+++/2Nraqv8oFN+XLFmyULduXQYMGMDJkyfp0aMHERER6qEzISEh5MyZU4ZEfIeSfoDs06cPNWrUABKfN6r749y5c+TKlUuGRHzjVL9bPvwdI88PAbrvD3l+CBVd94fq71AnJyfGjRvHw4cP6d69Ozdv3lS3CwsLI0eOHBQuXPjLB/0dkZpPQgg11dj5yMhIjeRA0nHRSf/98OFDNm/ezKpVqzAyMsLCwoK4uDgWLFig7vUivh1puT+Sc+bMGbZs2cK+fftYv369uiu8+DYlJCRgYGCQ7PqIiAj27t3LnDlzMDY2pl27dpibm3P+/HkOHDjA5s2bsbKy+oIRiy8ptftDRVVUGhI/GPz++++cP3+elStXqhPc4tsTGxuLkZERoPv3izw/vm+p3R8q8vz4viQkJKBQKHjz5g158+ZNtl1sbCxnz55l8uTJvHnzhnr16lGgQAFu3LjBkSNH2LhxI7a2tl8w8u+LJJ+EEEDiH3O//PILjx49AqBatWq0bt1a/Qs6aVHHD3/Z37hxg5CQEJRKJSVLlpRf6t+gj7k/PhQYGMjixYuJiopi7ty5lCxZ8ovFLb6cyMhIDhw4QNOmTYGU7wlI7BX35MkTZsyYwe3bt4mNjSV//vyMGzdO7pFv0MfeH0nt2LGDoKAgjh49yurVq+X++AZFRkayfPlybty4QXx8PLVq1aJt27aA7gSDPD++Lx97fyQlz49v3/v37/ntt9+4efMmL168oHXr1gwcOBBI/v6IjIzk999/58aNG4SGhmJlZcWwYcPk/shgknwSQhAVFUWbNm3InTs39vb2xMfHs3nzZkqXLk3Xrl1p1KgR8L8PC6pvrWUq0u/Dp94fKleuXOH27duUK1dOujN/o6KioujYsSPXr19nxIgReHl5AcknGD58drx8+RJ9fX2yZs2KqanpF4tbfBkfe38kdfbsWRYvXszLly+ZMmWK9Jr8Br1//5727dtjYmJCjhw5iIqK4syZMwwdOpTevXtrtZfnx/flY++PpOT58e2LiIigTZs25MmTBwcHBxQKBWvWrGHgwIH4+Pjo3Cbp756oqCji4+MxNDQkW7ZsXzL075Ikn4QQbN++HT8/PxYvXoyNjQ0A9+7dY/DgwSgUCjp06ECnTp0AzQf2sWPHqFq1amaFLb6QT70/jh49SrVq1bSWi29LfHw8kydPZu/evVhbW/P06VM6d+5Mr169AO33/sPkpNwb37b03h/v3r3j+fPn5M6dm1y5cn3x+EXGio2NZeDAgcTGxjJ+/Hisra159eoVCxcuxN/fn5UrV2oM45fnx/clvfeHPD++bTExMfTs2RMDAwN++eUXihQpAsD48eO5e/cuq1ev1mifdMgmaA7NFF+GPK2FELx48YKEhAR1YiE2NhZbW1v+/PNPcufOzYYNG/D39wf+N+vMtGnT6NGjB1u3bs2ssMUX8qn3R8+ePdmyZYvGcvHtefToESdOnKBGjRqMGzeOSpUqsXr1ahYvXgwkvveqIvWA+oPBjBkzuH//vtwb37j03B93797FzMyMEiVKyAfHb9TJkyd58eIFHTp0UH9wzJMnD/Xr1ycmJoanT59qtJfnx/clPfeHPD++fceOHUOhUNC1a1eNnvWWlpZYWlqyb98+/P391feJKvE0evRorl+/LomnTCBPbCEE9vb2hISEcPLkSSDx4RwfH0++fPmYNm0ahoaGrFq1Sl3vBxJnvCtfvjwuLi6ZFbb4QtJzf7i6umZW2OILKVCgAD169GDUqFGUKlWKXr16UaFCBa0Eg2omIoBdu3axZMkSxo8fT3x8vNasVuLbkZ77Y+LEiXJ/fOMKFy6MqakpVapU0UhEVqxYkQIFChAcHAwgz4/vVHruD3l+fPtcXFxo3749VatWVQ/FjYqKwt/fnzNnzjB16lTGjh1L//79OXr0KAAnTpxg27ZtDBw4kLi4OLk/vjAZdieE4M2bN/Tu3ZsCBQowbNgw9Swxqu6oDx8+pGnTpnTp0oVhw4apt4uOjpbx0d8BuT9EalQ1WFT3xJ07d5g/fz6nT5/G09NT5xCrP//8k3r16smsMt8BuT9ESqKiojA2NtYaQteqVStcXV0ZO3as1jaLFi2ifv36cn98B+T+EClR/X5RKBQolUoaN26MmZkZP//8M7a2toSGhtK5c2dKlSql/sJjx44dODs7Y21tncnRf3+k55MQAgsLC8aOHcuRI0fYsGEDISEhAGTJkoXY2FisrKzo2bMnQUFBhIWFqb9hksTC90HuD5Ea1TeOqi7sxYoVw8fHR93DZcmSJQA8e/aMNWvWEB4eTu/eveWDwXdC7g+REmNjY+B/w7NVv0OyZ89OdHS0ul1ERAT79+8HwNvbW+6P74TcHyIlqt8v+vr6GBgY0KFDB3x9fXF0dMTMzAwbGxvGjh3L0aNHuX79OgDNmzeXxFMmkYGOQggAHB0d8fPzo3v37ujr69O+fXuKFCmiHh+dJUsWEhISyJ49u0YxR/F9kPtDfKxixYrRt29f9PT0WLVqFeHh4dy/f599+/ZRt25dzM3NMztEkYnk/hDJUf0OMTMz4/Xr10Bi4egpU6awdetWDh8+jKWlZWaGKDKR3B9CF1UPqG7dummte/LkCVZWVuq6YSLzSPJJCKFWuXJlli1bRr9+/Xj+/DkdOnSgfPnyhIaG8vDhQ/Lnz098fDxZs2bN7FBFJpD7Q3wMhUJB8eLF6du3L9HR0fz555/kyJGDrVu3kj9//swOT2QyuT9EaoyMjAgPDyc6Oprp06ezZ88e/vrrL0ksCEDuD6FJ1QMK/peIAnj16hVXrlzBwcFBJij4CkjySQihoUqVKqxYsYKJEyfSs2dPbGxs0NPT4+nTp6xcuZLs2bNndogiE8n9IdJK9Ueeubk579+/x8zMjLVr11K8ePFMjkx8DeT+EMlR1fYxNjYmLCyM3377DX9/f9avX4+Dg0NmhycymdwfIjWqxNOdO3dYsmQJJ06cYM2aNeohnCLzSMFxIYROr1694uTJk5w7d46CBQtSt25dbGxsMjss8ZWQ+0OkRVRUFGPHjmXnzp1s376dkiVLZnZI4isi94dIyaxZs1i0aBGmpqasXLmS0qVLZ3ZI4isi94dIia+vLxcuXODevXvMnz9ffr98JST5JIQQQogMc/ToUfLmzYu9vX1mhyK+QnJ/iORcvXqVnj17snr1aooVK5bZ4YivjNwfIiU3btxgz549tGrVSmo9fUUk+SSEEEIIIYT46kRHR8vMqSJZcn+IlCQkJMgkOF8ZST4JIYQQQgghhBBCiAwjJd+FEEIIIYQQQgghRIaR5JMQQgghhBBCCCGEyDCSfBJCCCGEEEIIIYQQGUaST0IIIYQQQgghhBAiw2TJ7ACEEEIIIYQQQgghxOfz4MEDli5dysWLF7l16xZFixYlMDDwk/cXFBTEwoULuX79OoaGhpQsWZLff/+d/Pnzp2l7ST4JIYQQQgghhBBCfENu3brFoUOHcHJyQqFQoFQqP3lfO3bsYMyYMXh5eTF48GDev3/PmTNniImJSfM+ZNidEEIIIYT4aJ6ennh6embIvvfs2UP58uXp0KED9+/f5+eff2bFihUZcqyPtXXrVuzt7Xn8+HFmh5KhFAoFTZo0YcGCBZly/MOHD+Pi4kJYWFimHF8IIf7rateuzaFDh5g7dy6lS5f+5P28efOGSZMm8dNPPzF06FDc3NyoU6cOI0eOxNraOs37kZ5PQgghhBDfiK1btzJ69Ohk12/cuBFnZ+cvF9AnWrJkCe3atePx48c0bNgQc3NztmzZktlhZahXr16xdOlS/vnnH549e4aenh5Fixalbt26dO7cGXNzc3VbpVLJjh072Lx5Mzdu3CAuLg4rKys8PDzw8vLCxMQk3fEEBgby7NkzOnfurF527tw5jh07RteuXTXiyQg1atTAysqKRYsWpXhPCyGE0E1fP/W+RkqlkmXLlrFp0yaePHlCvnz58PT0pFu3buo2u3fvRqFQ0KZNm3TFI8knIYQQQohvzMCBAylcuLDWcisrq892jKVLl362fX1ozpw55MuXjyxZshAWFkb27NnJmjVrhh0vswUHB9O7d28iIyNp1qyZ+hvqy5cvs3jxYs6cOcOyZcsASEhIYNiwYezevZvy5cvTv39/jI2NOXPmDH5+fuzdu5fly5eTJ0+edMW0dOlSGjdujJmZmXrZ+fPnmTdvHi1btszw5BNA+/btmT59OgMGDMDU1DTDjyeEEN+byZMns3nzZvr06YOTkxPnzp1jxowZZM2alY4dOwJw8eJFbG1t2b59OwsWLCAkJIQSJUowdOhQ3N3d03wsST4JIYQQQnxjatSoQdmyZTP0GEZGRhm270KFCqn/nStXrgw7ztcgPDyc/v37Y2BgwLZt2yhWrJjG+iFDhrBp0yb16yVLlrB79268vLwYOXKkenn79u1p2LAh/fr1Y9SoUSxZsuSTY7p69SrXr19n1KhRn7yPz8HDw4Nff/2VPXv2pPsbdyGEEJoePnzImjVrmDhxIu3btwegSpUqREdH4+fnR/v27dHX1+fly5fcu3ePOXPm8OOPP5I3b17Wrl2Lj48P27dvp0SJEmk6ntR8EkIIIYT4zjx+/Bh7e3uWLl3K2rVrqVOnDk5OTnh5efHs2TOUSiV+fn7UqFEDR0dH+vbty5s3bzT2oavm0+rVq2ncuDFOTk5UqFCBVq1aERAQoF4fERHB5MmTqV27NmXKlKFy5cp0796dK1euaOxn9+7dtGrVCkdHRypVqsTw4cMJCQnROo87d+4wcOBAKlasSNmyZWnVqhUHDhzQaBMXF8e8efOoX78+ZcuWpVKlSnTs2JFjx46lep1u3bpFly5dcHR0pEaNGsyfPx+FQqGz7aFDh/jhhx9wdnbGxcWF3r17c+vWrVSPsWHDBkJCQhg1apRW4gkgT548+Pj4ABAdHc3SpUuxsbFh2LBhWm1r165NixYtOHLkCBcuXEj12MnZv38/hoaGlC9fXr3M19eX6dOnA1CnTh3s7e01al/Fx8fj5+dH3bp1KVOmDLVr1+aPP/4gNjZWK0Zvb2/OnDlDmzZtKFu2LHXq1GH79u1aceTOnRt7e3ut91QIIUT6HT9+HID69esTHx+v/q9KlSq8fPmSZ8+eAYlD8yIjI5k0aRItWrSgatWq6h7KixcvTvPxpOeTEEIIIcQ3JiIiQqtQs56eHjlz5tRYFhAQQFxcHJ6enrx584YlS5YwePBg3NzcOHXqFL169eLBgwesWbOGadOmMWXKlGSPuWnTJn799Vc8PDzo0qULMTEx3Lhxg4sXL9K0aVMAxo8fz969e+ncuTPFihXjzZs3nD17ljt37qiHmqnqVpUtW5ahQ4cSGhrKqlWrOHfuHNu3b1cP97p16xYdO3YkX7589OrVCxMTE3bv3k2/fv3w9fWlXr16AMybN49FixbRtm1bHB0diYiI4PLly1y5coWqVasmez4vX76kS5cuJCQk0Lt3b4yNjdm0aZPO4X/bt29n1KhRVKtWjeHDhxMVFcX69ev54Ycf2LZtm84hkCoHDx4kW7ZseHh4JNtG5ezZs7x9+5YuXbqQJYvuP+NbtGjB1q1b+eeffz65vtf58+exs7PD0NBQvaxevXrcv3+fwMBARo8erb6XVD3Txo4dy7Zt2/Dw8KB79+4EBwezaNEi7ty5g5+fn8b+Hzx4wKBBg2jTpg0tW7Zky5YtjBo1itKlS2t9g166dGn279//SechhBAiea9fv0apVOLm5qZz/bNnzyhUqJD6927SdoaGhlSoUCFNX7KoSPJJCCGEEOIbk7RQqIqRkRGXLl3SWBYSEsK+ffvUdX0UCgWLFi0iOjqaLVu2qBMcr1+/JiAggIkTJyY73C4oKIgSJUowd+7cZOM6dOgQ7dq10xjO1atXL/W/4+LimDFjBnZ2dqxdu1ad6ClXrhze3t6sWLGCgQMHAol1KgoUKMCWLVvUMf3www907NiRGTNmqJNPQUFBuLu788svv6R4zT60ePFiwsLC2Lx5M46OjgC0bNmS+vXra7R7//49kydPpm3bthrHaNmyJQ0aNGDRokUpHvvu3bvY2NikaRjj7du3AShZsmSybVTr7t69m+r+UorJyclJa78ODg4EBgZSt25djYTa9evX2bZtG23btuXXX38FoFOnTuTKlYtly5Zx8uRJjQ8t9+7dY+3ateqeVQ0bNsTd3Z2tW7dqDCUEKFKkCK9fvyY0NJTcuXN/8jkJIYTQlCNHDvT09Fi3bp3Glw0qtra2ABQvXjzZfcTExKT5eDLsTgghhBDiGzNu3DiWL1+u8Z+urvENGjTQKCitSrI0a9ZMo2eNo6MjcXFxOoe+qZibm/P8+XOCg4NTbHPx4sVk93P58mVCQ0Pp2LGjRg+jmjVrUrRoUYKCgoDEaZ9PnjxJw4YN1b28wsLCeP36NdWqVeP+/fvqY5ibm3Pr1i3u37+fbFy6HDp0CGdnZ/U1gcRePqpeXCrHjx8nPDycxo0bq+MICwtDX18fJycnTp06leJxIiIiyJ49e5piev/+PUCK7VXrIiIiAPD396d9+/Z06tSJJk2a8Ndff6V6nDdv3nxUQfFDhw4B0L17d43lXl5eGutVihcvrjGkL1euXNja2vLo0SOtfavieP36dZrjEUIIkbrKlSsDic/8smXLav2nmuihVq1aAJw4cUK9bWxsLKdPn1b3Wk4L6fkkhBBCCPGNcXR0TFPB8QIFCmi8ViWiklv+9u1bihQponNfvXr14vjx47Rt2xZra2uqVq1KkyZNKFeunLrN8OHDGTVqFDVr1qR06dK4u7vTokUL9T6fPn0K/O/b1qSKFi3K2bNngcQiqUqlkjlz5jBnzhyd8YSGhpIvXz4GDhyIj48PHh4e2NnZUa1aNZo3b55i7yFVLB/2/tEVmyqp1bVrV537SW2WNlNTU3VSKTWqxFJK7T9MULm4uNCwYUMMDQ25du0aLVu2xM3NLcWhgJBY4yOtnjx5gr6+vtZsinnz5sXc3JwnT55oLP/w/oLEb+Dfvn2bbBx6enppjkcIIQRERUWpk/9PnjwhIiKCPXv2AFCxYkVsbW3p1KkTI0aMoEePHjg5OREXF8f9+/c5deoU8+fPBxKHP3t4ePDzzz/z5s0b8ubNy7p163j16hU9evRIczySfBJCCCGE+E4ZGBjoXK6vr7tzfEoJiWLFirFnzx6CgoI4cuQI+/btY926dfTr1089VK5Ro0aUL1+ev//+m2PHjrF06VIWL16Mr6/vR03XrCr67eXlRfXq1XW2USVCKlSowN9//82BAwc4duwYf/31FytXrmTixIm0bds2zcdMjuqaTJ8+nbx582qtT+4aqxQtWpRr164RGxub6tA7VUHy69evU7duXZ1tbty4odH2w2Shnp5eqokcCwsLwsPDU2yjS1oTRKldk6RUcXxYr0wIIUTKQkNDGTRokMYy1etVq1ZRqVIlxo4di62tLRs3bsTPz4/s2bNja2tLgwYNNLabOnUqf/zxBzNnziQiIoLSpUuzfPly7O3t0xyPJJ+EEEIIIcRnYWJiQqNGjWjUqBGxsbEMGDCAhQsX4u3trR5GZ2lpSadOnejUqROhoaG0bNmShQsX4u7uTsGCBYHEmkCq4QAq9+7dU69XJVQMDQ2pUqVKqnFZWFjQunVrWrduzfv37+ncuTO+vr4pJp8KFizIgwcPtJbfu3dP47Uqlty5c6cplg/VqlWL8+fPs2/fPpo0aZJi23LlymFubk5gYCB9+/bVmcRRzRqnGiahEhERwciRI+natSuFChVK8ThFixZVz2KXVHLJpUKFCqFQKHjw4IHGjH2vXr0iPDw81eOl5PHjx+TMmVNd2FwIIUTaFC5cWP2FRHL09PTo3LkznTt3TrGdiYkJY8eOZezYsZ8cj9R8EkIIIYQQ6fZhTR4jIyOKFSuGUqkkLi6OhIQE3r17p9Emd+7cWFpaEhsbC0CZMmXInTs3GzZsUC+DxJpBd+7coWbNmurtKlasyMaNG3nx4oVWLEln+vswruzZs2NlZaWxf13c3d25cOGCRg2rsLAwAgICNNpVr14dU1NTFi1aRFxcXIqx6NKhQwfy5s3L1KlTtRJbkPjNtWrog7GxMV5eXty7d49Zs2ZptQ0KCmLbtm1Uq1ZNY6a7mJgYBgwYgJWVFT/++GOK8QA4Oztz69YtrWtkbGwMoPU+qnqtrVy5UmP58uXLNdZ/iitXrnzyrH1CCCG+HtLzSQghhBDiG3P48GGds525uromW7MpvXr06EGePHlwdXUld+7c3L17lzVr1uDu7o6pqSnh4eG4u7vj4eFByZIlMTEx4fjx41y6dEk9+52hoSHDhw9n9OjRdO7cmcaNGxMaGsqqVasoVKiQxix+48eP54cffqBp06a0a9eOIkWK8OrVKy5cuMDz58/x9/cHoHHjxlSsWJHSpUtjYWHBpUuX2Lt3b6rf8vbs2ZMdO3bQs2dPunTpgrGxMZs2baJgwYIa3ySbmpoyYcIERowYQatWrWjUqBG5cuXi6dOnHDp0CFdXV8aNG5fscXLkyIGfnx+9e/emRYsWNGvWTF3A9erVqwQGBuLi4qJu37t3b65du8bixYu5cOEC9evXJ1u2bJw9exZ/f3+KFSvGtGnT1O2jo6Pp27cvuXLlYtq0aWka8lanTh3mz5/Pv//+S7Vq1dTLVXHNmjWLRo0aYWhoSK1atShZsiQtW7Zk48aNhIeHU6FCBS5dusS2bduoW7dustN4pyY0NJQbN27www8/fNL2Qgghvh6SfBJCCCGE+MbMnTtX5/IpU6ZkWPKpffv2BAQEsHz5ciIjI8mfPz+enp74+PgAkC1bNjp27MixY8fYt28fSqUSKysrdRJJpVWrVmTLlo3FixczY8YMTExMqFu3Lj/++KPGDGzFixdny5YtzJs3j23btvHmzRty5cqFg4MD/fr1U7fz9PTk4MGDHDt2jNjYWAoWLMjgwYNTLZJqaWnJqlWr+PXXX/nzzz+xsLCgQ4cOWFpaMmbMGI22TZs2xdLSkj///JOlS5cSGxtLvnz5KF++PK1atUr12jk5OREQEMDSpUsJCgpix44d6OvrU7RoUXr37q2RKDMwMGD27Nls376dzZs3M2fOHOLi4rCysqJfv354eXlhYmKibu/r68upU6dwdXVVz0Y3dOhQjYTWh8qUKYO9vT27d+/WSD45OjoyaNAgNmzYwJEjR1AoFBw4cAATExN+/fVXChcuzLZt29i/fz958uTB29ub/v37p3r+ydm3bx9GRkY0bNjwk/chhBDi66Cn/JipLIQQQgghhBDfvO3btzNp0iSCgoI0kn5fUosWLahYsSI//fRTphxfCCHE5yM1n4QQQgghhBAamjVrRsGCBVm7dm2mHP/w4cM8ePAAb2/vTDm+EEKIz0t6PgkhhBBCCCGEEEKIDCM9n4QQQgghhBBCCCFEhpHkkxBCCCGEEEIIIYTIMJJ8EkIIIYQQQgghhBAZRpJPQgghhBBCCCGEECLDSPJJCCGEEEIIIYQQQmQYST4JIYQQQgghhBBCiAwjySchhBBCCCGEEEIIkWEk+SSEEEIIIYQQQgghMowkn4QQQgghhBBCCCFEhpHkkxBCCCGEEEIIIYTIMJJ8EkIIIYQQQgghhBAZRpJPQgghhBBCCCGEECLDSPJJCCGEEEIIIYQQQmQYST4JIYQQQgghhBBCiAwjySchhBBCCCGEEEIIkWEk+SSEEEIIIYQQQgghMowkn4QQQgghhBBCCCFEhpHkkxBCCCGEEEIIIYTIMJJ8EkIIIYRIxunTp/H19eX69euZHYoQQgghxH+WJJ+EEEII8c3x9PTE3t4+Xft4/Pgx/fr149q1a5QoUeKT9jFq1Cjs7e15/PhxumIRX9apU6ewt7fH19c3s0P5bL7kOUVERNC5c2dcXFwYNmwYDx8+ZPjw4fTr1y/Dj50ejx8/xt7enlGjRmV2KEII8c3JktkBCCGEEF+bj01a3LhxI4MiSd7p06c5ePAgly9f5urVq0RERNCyZUumTp2a7DYKhYK1a9eyadMmHjx4gImJCVWqVGHIkCEUKVIkzcdWXR9DQ0OOHDlCzpw5tdq8ffuW6tWrExMTA2TONUqP2NhYBg4ciK2tLX/88QcGBgaZHdJ3rXbt2jx58gSAgIAA7OzstNokJCRQs2ZNXrx4AcCBAwcoXLjwF40zNVu3bmX06NEptknt5/i/YNeuXVy5coU2bdpw+PBh6tWrR5YsWfDz88vs0L4K8fHx7Nixgz179nD16lXevn1L1qxZsbGxoVq1arRr145ChQppbffgwQNWrFjB8ePHCQkJQU9Pj8KFC1OtWjW6d++OpaVlJpzNl3P//n327NnDkSNHePDgAW/evCF37txUqlQJb29vihUrpnO7Fy9eMHv2bA4fPszbt28pWLAgLVq0oGfPnhgaGqrbKZVKDh8+zMGDBzl37hxPnz4lPj4ea2trGjVqRPfu3cmaNetniUmI75Ekn4QQQogP9O/fX2vZypUreffunc51mWHLli1s27YNY2NjChQoQERERKrbjBs3js2bN1OiRAk8PT158eIFu3fv5tixY2zcuBEbG5s0Hz9LlizExcUREBBAly5dtNYHBAQQExNDlixZiI+P/5hT+yymTZtGVFTUJ2//22+/8f79e9avX0+2bNk+eT9Dhw6lV69e5MuX75P3IRLp6yd22N+yZYvOBM7hw4d58eLFZ7nnHB0d2bVrl87E6udQuXJlypUrp3NdqVKlMuSYGX1OSdWsWZNy5cpRrFgxxowZw927d8mRIwe5c+fO8GN/7Z48eYKPjw/Xr18nT548VKlShQIFChAZGcnVq1dZvHgxy5YtIzAwEGtra/V2f/31FxMmTCA+Ph43Nzdq166NUqnkwoULLFu2jA0bNjB79mzc3d0z8ewy1pw5c9i1axd2dnbUqVMHU1NTbt68yY4dO9i7dy9LliyhQoUKGtu8fPmSdu3a8fz5c+rVq4e1tTWnT59m9uzZBAcHM3/+fPT09IDELx169+6NkZERFStWpFq1asTGxnL06FFmzZrF/v37Wb16NcbGxumKSYjvllIIIYQQqapVq5bSzs4us8NQCw4OVt68eVMZHx+vPH/+vNLOzk45cuTIZNufOHFCaWdnp+zUqZMyJiZGvTwoKEhpZ2en9PLySvOx7ezslB4eHsr69esrmzdvrrNNixYtlB4eHkoPD4+v6rqJ/6ZatWopy5Qpo+zevbvSzc1NGRsbq9WmX79+ynLlyik7deqktLOzUz569CgTIk3Zli1blHZ2dspFixZldihCh0ePHqX6LE2Pd+/eqZ+J06ZN03gWq9y/f1/p7e2tvHr1qnrZwYMHlfb29spKlSopz549q7XN/v37lY6OjsoyZcooL1++nCGxfw22bNmivHLlitbywMBApZ2dnbJRo0Za60aMGKG0s7NTrlu3Tr1MoVAohwwZorSzs1MGBASol8fGxirnz5+vfPPmjcY+YmNjld7e3ko7Ozvl4sWL0x2TEN8rqfkkhBBCpENYWBiTJ0+mdu3alClThsqVKzNo0CBu3ryp1VZV/+fRo0csXryY+vXrU7ZsWWrXrs28efOIi4tL83HLli1LiRIl0jwcbPPmzQAMGjQIIyMj9XJ3d3cqVqzI0aNHefr0aZqPD9C6dWuuXbvGlStXNJZfv36dq1ev0qpVK53b+fr6Ym9vz6lTp7TWbd26FXt7e7Zu3apelrQOy4MHD+jXrx8VKlTA2dmZbt266SwGnlLNp/379+Pl5UWlSpXU1//HH3/UeM90xZg0jlu3btG7d2/Kly+Pi4sLXl5eXL58WetYKdV82rJlC23btsXFxQUXFxfatm2rcd5J7d27l86dO1O5cmXKli1LtWrV6NatG3v37tXZXpfQ0FCmTp2Kh4cHjo6OVKxYkbZt27J06VKttgcPHsTT05Ny5crh6OhIs2bNWL58uVaPoqTX5M6dO3h7e1O+fHkqVKjA0KFDCQsLA+D8+fN07doVV1dXKlSowJgxY4iMjExz7CqtW7cmLCyMf/75R2N5WFgYQUFBNG7cWGtYDCT2aFi9ejU9evTA3d1d/bPav39/rl69qtU+ufpI9+/fZ/To0eqf94oVK9KsWTMmT56MUqn86PNJTdI4zp07h6enJy4uLri5uTFhwgSio6MBCAoKon379jg7O1OlShWmT5+u9V6l95xevHjBr7/+Sv369XF0dKR8+fI0bNiQcePG8e7dO419fsxzERLfn+XLl9OyZUucnZ1xcXHhhx9+4MCBA1pt3717x5w5c2jUqBEuLi64urpSr149Ro4cqR6amZqEhAT+/PNP6tWrR9myZalXrx6LFi1K8T0MDQ3lt99+o169epQpU4ZKlSoxYMCAZM9Jl2XLlnHv3j2aNWvGiBEjNJ7FKtbW1ixcuFA9XCs+Pp5ffvkFpVLJH3/8gaurq9Y2derUYcyYMcTGxvLbb7+lOZ7UKJVK/vrrLzp06ICrqytOTk60atWKv/76S6tt0mfmli1baNq0KY6OjtSuXZtVq1ap97ds2TI8PDwoW7Ys9evXZ/v27WmOp1WrVjg4OGgtb9y4MTY2Nty+fVv9zIHE2mO7du2iSJEidOjQQb1cT0+PYcOGAbBp0yb1ckNDQ/r27UuOHDk09m9oaIi3tzeQOOQ9PTEJ8T2T5JMQQgjxicLCwmjfvj2rVq2iUKFCdO/eHTc3N/7++2/atWvHmTNndG43efJklixZQuXKlencuTNGRkb4+vqq/xjOCKdOncLExETnB5fq1asD8O+//37UPlu0aIGBgYFWwuSvv/7CwMCAFi1afHK8ujx58oR27drx9u1bWrduTZUqVThx4gRdunTh1atXadrH1KlT6devH1euXKFOnTp069YNV1dXTpw4wfHjx9O0j0ePHtGxY0eio6Pp2LEjtWvX5tSpU3Tu3JmLFy+maR+//vorP/30EyEhIbRu3ZrWrVsTEhLC6NGj+fXXXzXarlu3joEDB3L//n3q1atH9+7dqV69Oq9eveLvv/9O0/Hu3r1L8+bNWb58Oblz58bT05MmTZqQLVs2Fi1apNF2+fLl9O3bl5s3b9KkSRM6depETEwMU6dOZdCgQTo/oD9+/JgOHToQGxtL27ZtKVmyJDt37qRfv36cOXOGbt26YWJiQvv27SlSpAh//fUXv/zyS5piT6pevXrkyJFD657bsWMHcXFxtG7dWud2b9++5bfffiM2NhZ3d3e6detGxYoVOXToEB06dCA4ODjVY4eEhNC2bVsCAgIoVaoU3bp1o2nTpuTNm5f169eTkJDw0eeTVhcvXqRbt26YmZnRoUMHChYsyPr16xk7diy7du1i4MCBFCxYkPbt22NmZsbSpUtZuHDhZzunqKgoOnbsyJo1ayhSpAidO3emZcuW2NjY4O/vr/Hh+mOfi7GxsfTo0YOpU6eiVCpp06YNzZo14+nTp/j4+LBmzRp1W6VSSY8ePZg/fz45cuSgXbt2tG/fnlKlSnHw4EEePHiQpuv5888/M3PmTBQKBZ06daJatWosX76cyZMn62z/8OFDWrVqxcqVK7GyssLT0xN3d3eOHDlC+/bt0/xzv2XLFoA0FV5XJaZOnTrFkydP1InF5LRu3RpLS0vOnDmT5uuQEqVSyfDhwxkzZgyvX7+mSZMmtG3blqioKMaMGcO0adN0brdy5UqmTJmCg4MD7dq1Iz4+nsmTJ7N582YmTZrE0qVLKV++PK1bt+bNmzeMHDlSK6HzKVS1m7Jk+V9VmQsXLhAbG0uVKlXUQ+tUChUqhK2tLefOnUvTz65qvx9T/09XTEJ8z+QnQQghhPhEv//+Ow8fPsTb25uhQ4eqlx86dIjevXvz008/sWfPHnWtGpWLFy+yY8cO8ufPD8CQIUPw8vJi79697N27Fw8Pj88aZ2RkJC9fvsTOzk7nH86quiIf+4HF0tKSGjVqEBgYyMiRIzEyMiI2NpaAgABq1Kjx2Yvf/vvvvwwbNozevXurl82ePZsFCxawdetWjeW6/PPPPyxfvhw7OztWrVqlUfsmPj6eN2/epCmOM2fO0Lt3b41koap47dixYwkICEhx+9OnT7N69WqKFSvGxo0bMTMzA2DAgAG0a9eO1atX06BBA8qXLw8kJvMMDQ3ZsWOHVs2c169fpynmH3/8kZcvX/LLL7/Qrl07jXXPnz9X//vhw4fMmDGD3Llzs2XLFgoUKAAk3qPdunVj//797NixQyuxePr0aX766Se6du0KJH5w9fb25tChQ/Tt25eZM2dSt25dAHWSyN/fn2HDhpEnT540nQMkfiBv2rQpGzZs4OXLl+TNmxdI/FBvZ2eHo6Ojzu1y5MhBUFCQVu2tW7du0a5dO2bNmsXy5ctTPPa+ffsIDw/XOE+VN2/efNQHzOPHj6uL8X+oUaNGWkWKjxw5gp+fn9Y1DAwM5OjRo6xZs0Z97gMGDKB+/fqsXr0ab29vjYLKn3pOJ06c4PHjx3Tt2pWffvpJo9379+81jvGxz0U/Pz/+/fdffHx8GDhwoDpJEBERQdeuXZk6dSr16tUjX7583Lx5k4sXL1K3bl2t4uWxsbFp6j2q6plTsmRJ1q9fj4mJCQB9+vShefPmOrcZMWIEL1++ZMmSJepkPUDfvn1p3bp1mn7unzx5wvPnz8mfP/9H1dc7f/48AG5ubim2MzAwoGLFigQGBnL+/HmNelGfYvPmzQQGBtKqVSsmTZqkfo9VkzEsW7aMxo0bU6ZMGY3tzp49y7Zt29STWPTo0YN69eoxbdo0cufOTUBAALly5QISi+u3a9eOpUuXpqsuUnBwMLdu3aJs2bKYm5url6t+pyV3vW1sbLh37x5Pnz5NddINVeKwatWq6YpJiO+Z9HwSQgghPkFsbCw7d+7EwsKCvn37aqxzd3enatWqPHjwgHPnzmlt26VLF3XiCRI/UA8ePBiAbdu2ffZYVUNiTE1Nda5XLf9w6ExaqL693r9/P5A4pO3Nmze0adPmE6NNXuHChenZs6fGMtVxLl26lOr269atA2DMmDFaRZezZMmS5iSIubk5ffr00VhWvXp1KleuzM2bN3UOv0tK9R73799fnXiCxASJqqD9hz17DA0NdSY30lI8Ojg4mMuXL1OhQgWtxBOgcS8GBAQQHx9P9+7d1YknSLxHhw8frhF/UlZWVhqF5/X09GjUqBGQWEBblTRRnYuHhwfx8fHcvn071fg/1Lp1a+Lj49VxXLx4kVu3biXb60kVv66i7yVKlKBSpUqcPn06zcNedRWgt7CwSFvw/+/EiRPMmzdP53/37t3Tal+pUiWd11CpVFKrVi2NpJupqSk1a9bkzZs3GonFz3FOutplz55d3UvnY5+LCoWC9evXY2VlpZF4Up1Hv379iIuL0+rhpysOIyMjsmfPnuq5qoZ59evXT514AsiXL5/OyROuXr3K+fPnadGihUbiCcDW1pZ27dpx8+bNVIffqXpnJv15S4uXL18CaPw8JkfVRrXN0aNHadOmDU2bNqVOnTp0795d5zBlXdasWYOJiQnjx4/XSC4aGRkxZMgQAHbu3Km1naenp0Yip0CBApQrV453797Rt29fdeIJwMnJiSJFiqRrNtR3794xcuRI9PX1+fHHH7XWARrP2aRU90tqv/sOHTrExo0bKVasGG3btk1XTEJ8z6TnkxBCCPEJ7t69S0xMDJUqVdKY+UalUqVKHDt2jGvXrql7sKh8+BrAxcWFLFmy6Kw/8zWrWbOmupdMo0aN2LJlC7lz56ZmzZqf/VilSpXS6kWm+iAXHh6e6vbBwcHqWYzSG4euD7nly5fnxIkTXLt2Tas3QFLXrl0DEu+RD6mWJf2A2KhRI37//XeaNGlCkyZNcHNzo1y5cskmEz+kGlKWlm/sU4rNxcWFrFmz6vzwam9vrzWsRdXzTdfsbap1L168SDWmDzk4OFCqVCl1b7ctW7ZgaGhIs2bNUtzu2rVrLFmyhLNnz/Lq1SutZNPr169T7K1Xq1Yt/vjjDyZNmsSJEyeoXr06FStWTLXHhC4f9uBLTUrXUNc6VY+wFy9epBhfWs+pQoUK5M2blz///JPr169Ts2ZNKlasSLFixTTe9499Lt67d4+3b99iaWnJvHnztNqrhvPdvXsXgGLFimFvb09gYCDPnz+nbt26VKxYUeezITmqRIeu57CuZRcuXAASaz59WC8raWx3797Fzs4uTTF8KXny5GHWrFkUKVKEuLg4Bg8ejLe3N0FBQVo/r0lFRUVx8+ZNLC0tWbx4sdZ6VT0x1bknldL9WLJkSZ3r0jLsVZfo6Gj69evH3bt3GTJkiM7nVnoFBwczZMgQzMzMmDNnjs46XV86JiH+qyT5JIQQQnyCiIgIgGR7y6j+2Fa1S0rXdOMGBgZYWFh8Uu+j1Ki+9dUVS9LlyX07nBLVh/6VK1dy7tw5jh8/Trdu3TKkxoWuZIvqOAqFItXtIyIiyJcvX5o/pCYnufdc9b6m9h5GRESgr6+v0QMg6b719PQ03qsePXpgYWHB+vXrWb58OcuWLSNLliy4u7szevToVJMfqnh09fzRFVvSc0lKT0+PPHnyEBISorVO13ujGuKZ0roPi2KnVevWrfn11185fvw4O3fupHbt2jqvp8q5c+fUw8qqVq2KjY0NJiYm6OnpsX//fq5fv05sbGyKxyxcuDAbN25k3rx5HDp0iN27dwNQtGhRBg4cSMOGDT/pXNLiY6+v6uciteub1nMyMzNj06ZNzJ07l3/++YdDhw4Bib1aevXqRadOnYCPfy6qhrreunWLW7duJRtnVFSU+rxWrlzJvHnz2Lt3L1OnTgUgV65cdOrUib59+6Zak+fdu3fo6+vr7DWo675/+/YtkFjUPSgoKNUYk6O6Jrp+flKiumbPnj1Lta2qja5kj6GhIU5OThw4cICIiIgUn/fh4eEolUpCQkJ0JgVVdE0akNL9mNy6T3kOxMTE4OPjw6lTp/D29tbqjQr/+52W3DP5/fv3Gu0+dOnSJXr06IG+vj5LliyhRIkS6Y5JiO+ZJJ+EEEKIT6D6Izq5Qteq5br+2A4NDaVo0aIayxISEnjz5o3ODz/pZWJiQt68eXn8+DEJCQlaH85UdTE+tUZImzZtWL58OYMHD0ahUKQ65E71jbuuIq8ZkXxTMTMz4+XLlygUinQloJJ7z0NDQ9XHSYmpqSkKhYKwsDCt9zs0NBSlUqlx3+jp6dGmTRvatGnD69evOXv2LIGBgezevZsHDx7g7++f4gduVb2RtHzoVR03NDSUQoUKaaxTKpW8evUqzT2uMlLTpk2ZPn06o0aNIiIiIsUhdwALFy4kNjaWtWvXavVuUfVsSQs7Ozvmzp1LXFwcV65c4fDhw6xevZohQ4ZgaWlJuXLlPuV0MlVaz6lgwYJMnToVhULBjRs3OHr0KKtXr2bSpEnkyJGDJk2afPRzUfV/Dw8P5s6dm6Z4c+bMyc8//8zYsWO5e/cuJ0+eZPXq1fj6+mrMSpYcMzMzFAoFr1+/1kpYqn6Gk1LF+PPPP9O5c+c0xahLoUKFyJcvH8+ePeP+/ftprvvk4uICwMmTJ1Nsl5CQoC7crdomqbCwMFatWkX9+vVTfUapenaWLl062Rk4M1N0dDQ+Pj4cO3aMnj17atQWS0r1O+3+/fs619+/fx9DQ0OdQxovXbqEl5cXCoWCZcuWJVtP7mNjEuJ7JjWfhBBCiE9QtGhRsmbNyqVLl3R+433q1ClA9xAEXbPgnT9/nvj4eJ1TNn8OFStWJDIyUmcNqiNHjgB8csHX4sWL4+TkREhICM7OzlrFkj+kmsZaVzJENewrIzg6OhIbG/vRs/p96Nq1a+pvzJNSva+63vOkVOtV90hSqth0DU+BxA/edevWZfbs2bi5uXH79u1UC8WXLVsWgGPHjqXYLrXYLl68SExMTLKxfUkWFhbUrVuXkJAQ8uXLp1WL50MPHz7EwsJCK/EUFRX1SUNdDQ0NcXZ2ZuDAgYwZMwalUplir5j/grSek76+PqVKlaJXr1788ccfABw8eBD4+OdisWLFMDU15fLly2muuaWip6dHsWLF6NSpk7pYvCqOlNjb2wO6n8O6ljk5OQH/K/ydHqrE/IIFC1Jtq+qJV6lSJQoVKsSFCxc4ceJEsu23bt1KSEgI5cuX1/oiISYmhn79+pE9e3YmTpyY6rFNTU0pVqwYd+/eTdOQ5i8paZLHy8srxZpKzs7OGBoacvz4ca1ZOp88ecK9e/dwdXXV6qmrSjwlJCSwZMkS9T3wOWIS4nsmySchhBDiExgZGdG4cWNev36tNVX94cOHOXr0KNbW1ri6umptu2rVKo1CwLGxscyePRtInP0nI6gKTc+ZM0djeNGhQ4f4999/qVatmlZPl4/x22+/4efnl+xU5UmpkiHbt2/XGC53/vz5VGeMSg/V0KDJkydrzWwXHx+fbG+ND4WHh2tNY3/kyBFOnDiBnZ1divWe4H/vsZ+fn8bwunfv3qmHuCS9D06dOqX1wSkuLk49HChr1qwpHs/R0ZGyZcty+vRpNm3apLU+aRKwadOmZMmShRUrVmgsj42NZcaMGVqxZaZhw4bh5+eHn59fqj3ZChUqxNu3bzWGdiUkJDBt2jR1XaHUXL58WefQVVVvmdTeh69RWs/p1q1bOn8+VMtU7T72uZglSxY6duzIkydPmDZtms4E1M2bN9XxPH78mMePHycbR2r1eAD1jHZ+fn4aw8ZCQkJYtWqVVntHR0ecnJzYuXMnu3bt0lqvUCjSnND28vLC1taW7du388cff+gc6vno0SN8fHy4c+cOkHiNVDMMDh06lIsXL2ptExQUxOTJkzEyMtKajVA1FCwsLIzly5enaZICSCwcHhUVxdixY3UOr3v06JHO9yIjqc7l2LFjdO/enZEjR6bY3tTUlMaNG/Po0SM2bNigXq5UKtWJ0w8nYbh8+TJeXl7Ex8ezePFinb3I0hOTEN8zGXYnhBBCfKIff/yR06dPs2DBAs6fP4+TkxNPnjxhz549GBsb89tvv+n8UOzk5ETz5s1p2LAhxsbG/PPPP9y7d4/69evj4eGRpmOfOXOGv/76C/hfUd6zZ88yatQoILGHTNI/gt3c3Gjbti2bN2+mVatWuLu78/LlS3bt2oWFhQVjx45N17UoXrw4xYsXT1NbZ2dnXF1dOXnyJO3bt6d8+fI8ffqUAwcOUKtWLa2ZrT4Xd3d3vLy8WLZsGR4eHtStW5fcuXMTEhLCiRMn8PLyolu3bqnup3z58qxfv56LFy/i7Oysfs+zZcvGr7/+mur2FSpUwNPTk9WrV9OkSRPq16+PUqlk3759PH/+HE9PT41eaP369cPU1BQnJycKFixIfHw8x48f5/bt23h4eKQpaThjxgw8PT35+eef2bFjB87OzsTExHD79m2uXbum7pFiZWXF8OHDmTp1Ks2aNdO6R+vUqZPsdPRfWuHChSlcuHCa2nbu3JmjR4/yww8/0LBhQ4yMjPj3338JCQmhYsWKaUoe7Nixg40bN1KhQgWKFCmCqakpt2/f5vDhw1hYWNCqVas0x378+HFiYmJ0rsuTJw8dO3ZM877SI63ndOzYMX7//XdcXV2xsbHBwsKCR48ecfDgQbJmzcoPP/yg3ufHPhcHDhzI1atXWb16NYcOHaJ8+fLqn8ubN29y/fp1Nm7cSO7cubl+/Tr9+/fH0dGRYsWKkTdvXkJCQti/fz/6+vpp+vl1c3OjVatWbN26laZNm1KvXj1iY2PZtWsXzs7O/PPPP1rbzJw5k65duzJkyBBWrlyJg4MD2bJl4+nTp1y4cIGwsLA0zbhpamrK0qVL8fHxYdGiRWzdupWqVauSP39+oqKiuHbtGufOncPAwEDj+V23bl0mTZrEpEmT6NChA25ubpQqVQqlUsmFCxc4d+4cJiYm+Pr6Urp0afV2quLXr1+/Zt26dR81rLtDhw5cvHiRbdu2ce7cOapUqYKlpSWhoaHcvXuXixcvMnPmzDT/DH4O48eP59ixY+TNm5fs2bPrLADfsmVLjZiGDRvGqVOnmDhxIidOnMDKyorTp09z4cIFatWqRePGjdVt37x5g5eXF+Hh4VSvXp3jx49z/Phxjf2bmZlp3GefEpMQ3ytJPgkhhBCfKFeuXGzatIn58+dz8OBBzp49i6mpKXXq1KF///7Jznw0ZswYdu/ezV9//cXTp0+xtLRkwIABHzX71cOHD7WmvH/48CEPHz4EEnt6fPgN7KRJk7Czs2PTpk2sWrUKExMT6tWrx5AhQ7CysvrIs0+f+fPnM3XqVIKCgrh58yYlS5Zk4cKFvHjxIsOSTwAjR47ExcWFNWvWsHfvXmJiYsibNy9ubm5pmg0OoEiRIkyYMIHff/+dtWvXolAoqFixIsOGDUu115PK2LFjKVWqFOvXr1f3RipevDgDBw7Uql80dOhQjhw5wqVLl/jnn38wNjbGysqKCRMmpFpfS8XGxoZt27axaNEi/vnnH1auXEn27Nmxtramb9++Gm27d++OlZUVK1aswN/fn7i4OGxsbBg1ahSenp4pzpL1tapVqxZz585l0aJF+Pv7ky1bNtzc3NQ9p9KiSZMmxMTEcP78eYKDg4mNjSV//vx07NiRHj16ULBgwTTHc+LEiWSHUJUsWfKLJZ/Sek7Vq1fnyZMnnDlzhn379hEZGUm+fPlo1KgRPXv21Eg8f+xz0cjIiMWLF/N/7N13VBXH+/jxNwgIKEVULNiwoaiIoKKIotixxlhjTOwFscZETCzRxGDDAmJDjT22DxovGntEY0uMGuwaO1akKx3u7w9+7NfrvRQrJHle53AOuzM7M7t3IeFx5pnt27ezc+dO9u/fT0pKCiVKlKBKlSr07t1buaZ27doMGTKE33//ndDQUOLi4ihZsiSurq4MGjQIR0fHPN33999/j62tLVu3bmXDhg2ULl2aAQMG0L59e53Bp/Lly7Njxw5+/PFHDh06RHBwMPr6+lhbW1O/fn3atWuX52duY2PD9u3b2bVrF7/88gu//fYbsbGxGBkZUalSJQYPHkzv3r218hD16tWLhg0bsnbtWk6ePMnZs2fR09PDxsZGCZy/uqnA2rVrldlmAwcO1Lj/rBmo2dHT02PWrFk0a9aMbdu2ceTIERISErCysqJixYpMnDiRxo0b5/m+34UHDx4AEBERkW0i9IYNG2oEeqytrdm6dSsLFy4kNDSUw4cPY2Njw5gxYxg8eLDG77Pnz58rM0qPHTumLEl/mY2NjUbw6U3GJMR/lZ761XncQgghhHgvfHx82LFjB4cOHZL/Ef0HCg8Pp2XLlnz00UfKLltCCCGEECJ3kvNJCCGEEEIIIYQQQrw3EnwSQgghhBBCCCGEEO+NBJ+EEEIIIYQQQgghxHsjOZ+EEEIIIYQQQgghxHsjM5+EEEIIIYQQQgghxHsjwSchhBBCCCGEEEII8d4Y5PcAhBD/POfOnUOtVmNoaJjfQxFCCCGEEEIIkU9SU1PR09OjXr16OdaTmU9CiNemVquVLyE+BLVaTUpKirxz4oOS9058aPLOifwg753ID/Le/Xvk9e9CmfkkxP+XkpJC9+7dqV+/PlOnTs3v4RRohoaGpKSkUK1aNUxMTPJ7OOI/IDExkdu3b2NrayvvnPhg5L0TH5q8cyI/yHsn8oO8d/8eFy5cyFM9mfn0L7Nr1y66d++Os7MzTk5OtG/fnm+++YbIyEilTnp6Ov369cPNzY29e/eyePFilixZ8k76Dw8Px87OTvlycHCgefPmeHl58csvv7y3yLadnR2rVq3Ksc6VK1ews7Pj9OnTOssXLlyIhYUFX3/9dZ76zLrXvXv3vvZ4s9O9e3c2btyoHPv4+Gg8T0dHRzp37sy2bduybWPNmjXY2dnpvI+MjAzatm3Lrl273nqsRkZG8h8K8cGYmJhgb28v75z4oOS9Ex+avHMiP8h7J/KDvHe5U2f8u2aFycynf5GgoCD8/Pzo378/o0ePRq1Wc+PGDVQqFU+fPqV48eIAXLp0icjISCZOnMiCBQtISEhg/fr173Qs48ePx8XFhdTUVB4+fMihQ4cYO3YsHh4eBAQEYGDwbl+9LVu2ULZs2Te+/syZM+zdu5ft27fneWzW1tZs2bKFSpUqvXG/Lztw4AAPHjzg448/1jhfvnx55s2bB8CLFy84cOAAkydPxtTUlA4dOmi1kxVYOnDgAN9++y1GRkZKmb6+PkOHDiUgIABPT8+3/hxOH44hPjrtrdoQQgghhBBCCPF/zIoZ4OJhmd/DeKck+PQvsn79ej766CN8fHyUc+7u7gwePJiMjAzlnIODA3v27AGgU6dO72UsFStWxNHRUTnu0qULW7ZsYerUqQQFBTFixIh32t/Lfb2J+vXrc/jw4TzXT0pKwtjY+K37fdnatWvp0KEDxsbGGudf7adJkyacP3+e/fv3awWfbt++zaVLl3B1deXEiRMcOXKENm3aaNTx9PTk+++/58iRI7Rq1eqtxhwfnUZMpASfhBBCCCGEEEJkT5bd/YvExcVhbW2ts0xf//8+6p07d9KnTx8aNmxIgwYN6NevH2FhYVrX/PHHH/Tu3RsHBwdcXFyYNGkSMTExbzy+Xr16UadOHY1lZQA3b95kxIgRODs74+joyNChQ7l3755Gne3bt9OhQwdlLH369NEYs65ld0uWLKFJkybUq1cPb29vjaWHWdRqNatWraJt27bUrl2bli1bsmbNGo06AQEB1KtXj7CwMI170LXsLiMjgyVLluDh4UHt2rVp164dmzdvzvXZ3L9/nzNnztCuXbtc6wIUKVKEtDTtoE9ISAh6enrMmDGDEiVKoFKptOqYmJjg7u7Ojh078tSXEEIIIYQQQgjxNiT49C9Sq1YtNm/ezLZt24iIiMi2Xnh4OF27dmXRokXMmzePMmXK0LdvX27fvq3UuXjxIgMGDKBIkSIsWrSICRMm8OuvvzJkyBDS09PfeIxNmjQhIiKCBw8eAJlBl969exMbG8usWbOYN28eUVFR9O/fn5SUFCAzCPbNN9/QrFkzVqxYwezZs2ncuDHx8fHZ9rNhwwYWLVpE586d8ff3p3z58nzzzTda9WbOnIm/vz9du3ZlxYoVfPTRR8ybN4+ffvpJo15qaipffPEFnTt3JigoiCZNmujsd86cOSxevJiPPvqIZcuW4ebmxrRp09iwYUOOz+XUqVMYGBjg4OCgszwtLY20tDTi4uLYvn07Z8+epW3btlr1QkJCqF+/PuXLl6d9+/YcOXJE53OqV68ep06d0pgRJ4QQQgghhBBCvA+y7O5fZNq0aXh7ezN58mQAypUrR4sWLejfvz/lypVT6nl7eyvfZ2Rk0KRJE8LCwtixYwfjx48HYNmyZZQsWZJly5ZhaGgIQJkyZRg0aBChoaF4eHi80RjLlCkDwLNnz7CxsWHx4sVYWFjw448/UrhwYQCcnJxo2bIl27Zto2/fvoSFhWFpacnEiROVdpo3b55tH+np6SxfvpwuXboo1zRt2pTIyEh+/vlnpd69e/fYsGED06dPp1evXgC4urqSlJREYGAgvXr1UmaMpaamMm7cODw9PZXrw8PDNfqNiopiw4YNDBo0iFGjRgHg5uZGdHQ0gYGB9OnTh0KFCukc84ULF6hUqZJGfqYsN27coFatWhrnBg4cSOfOnTXOhYWFcefOHQYMGABAx44dWb9+Pfv27aN79+4adWvUqMHz58+5efMm1apVy+ZJCiGEEEIIIYQQb09mPv2LVK9enZCQEFasWMFnn32GmZkZ69evp3Pnzly5ckWpd/PmTUaOHImrqys1a9akVq1a3L59mzt37ih1zpw5Q8uWLZXAE2QGUszNzfnzzz/feIxZu93p6ekBcPz4cTw8PChUqJAyu8fc3Bx7e3suXrwIgL29PTExMfj4+HD8+HESExNz7OPx48c8ffqU1q1ba5x/dabQiRMnAGjTpo3Sd1paGq6urkRERPDo0SON+u7u7jn2GxYWRmpqqtbSufbt2xMVFaXxfF/19OlTihUrprOsQoUKbN++ne3bt7NhwwbGjh3L+vXrWbx4sUa9kJAQDA0Nlf4dHR0pX768zqV3WX3lNENOCCGEEEIIIYR4F2Tm07+MkZER7u7uSqDk2LFjDBs2jMDAQBYvXszz588ZOHAgVlZW+Pj4ULZsWQoXLszkyZNJTk5W2omLi1N2x3tZ8eLFiY2NfePxPX78GIASJUoAEB0dzdq1a1m7dq1W3azAV+PGjZkzZw7r1q1j0KBBFC5cmLZt2/L1119jaWmpdV1WQMXKykrjfFafWaKjo1Gr1TRq1EjnWB89eoSNjQ2QmSepSJEiOd5b1nN5tZ+s45zyZaWkpOic9QRQuHBh6tSpoxw3aNCAyMhIli1bxqeffoqlpSUZGRns2bOHhg0boq+vT1xcHAAtW7Zk3bp1PHnyhFKlSiltZPWVlJSU4z0JIYQQQgghhBBvS4JP/3JNmzalRo0a3Lx5E4Dz58/z+PFjli9fTo0aNZR68fHxlC5dWjm2sLDQmaA7MjISCwuLNx7Pb7/9RqlSpShbtqzSj7u7O5988olW3ZeDPV26dKFLly5ERUVx6NAhfH19MTAw4IcfftC6rmTJkkDmMriXPXv2TOPYwsICPT09Nm3apDHDK4utra3yfdZMrZxkBcIiIyM1Aj1Z/eoKlL08lqw8WHlRuXJlUlNTuXv3LpaWlpw6dYqIiAgiIiJo0KCBVv09e/Yoy/EAJTiV05iEEEIIIYQQQoh3QYJP/yLPnj3TmnWTlJTEo0ePqFq1qnIMaARbzp49y4MHDzRy/zg7O3Po0CF8fHwwMMh8TY4fP05cXBzOzs5vNL4tW7Zw8eJFvvjiC+Vc48aNuXHjBvb29tnmQ3qZlZUVPXr04OjRo9y6dUtnndKlS1OyZEkOHDigsfRu3759GvUaN24MZM5IetMcVi+rU6cOhoaG7N27F3t7e+X8L7/8QvHixalUqVK219ra2nL69Ok893Xjxg3g/5bPqVQqTE1NWbJkicbOhgA//PADKpVKI/iUFejKaUxCCCGEEEIIIcS7IMGnf5FOnTrRokUL3NzcsLa25smTJ2zYsIHo6Gg+//xzIDMPkKmpKdOnT2fo0KE8efKEgIAAjZk6AMOHD6d3794MGzaMfv368ezZM/z8/HBwcMg19xHA3bt3OX/+PGlpaTx8+JCDBw+yb98+WrduzaBBg5R6o0ePpnv37gwaNIiePXtSokQJnj17xu+//079+vXp2LEj/v7+xMTE0LBhQ4oXL87169c5duwY/fv319l3oUKFGDp0KDNnzqR48eI0adKE48ePawV3bG1t6du3L1999RWDBg2ibt26pKamcufOHU6fPs2SJUte6/lbWVnx6aefsmrVKoyMjHB0dCQ0NJSQkBCmTJmSY3DNycmJwMBAHj9+rDEDDTIDhufPn1e+P3PmDNu2baNJkyZUqFCB5ORkDhw4QJs2bZSA2ss+/vhjZs6cya1bt6hcuTKQuZthlSpVtJYmvi6zYvIrRAghhBBCCCHepX/j31n/vjv6D/P29ubXX39l1qxZREVFUaxYMezs7FizZo2S16hEiRIsWrSIOXPm4OXlRaVKlZg+fTorV67UaKt27dqsXr2a+fPnM2rUKExNTfHw8GDixIl5mqE0f/58IDO3kJWVFfb29ixatIi2bdtqLGGrWLEi27ZtY+HChUyfPp2EhARKlixJgwYNsLOzAzJnFK1du5ZffvmF58+fU7p0aQYNGsSIESOy7b9fv37ExcWxadMmfvrpJxo3bsz333/P4MGDNepNnjwZW1tbtmzZQmBgIEWKFMHW1lYraXheffXVV5iZmbF9+3aWLVuGjY0N06dPp3fv3jle17BhQywtLTl69Cg9e/bUKLt//76yG5+hoSE2NjYMGjSIIUOGAHDkyBHi4+Pp2rWrzrY7duzInDlzUKlUjBkzBoCjR49qJWB/Ey4elm/dhhBCCCGEEEIITeoMNXr6uad/+afQU2dtPyaEyFezZs3i8uXLrFu37r32c+PGDbp06cK+ffsoX778G7Vx4cIFUlJSsLe3x8TE5B2PUAhtiYmJ3L59G1tbW3nnxAcj75340OSdE/lB3juRH+S9+/e4cOECgMYmWbro51gqhPhgBg4cSFhYGFevXn2v/axevZouXbq8ceBJCCGEEEIIId6GWq0mMTERmQvz3/GfCT4FBARgZ2en9dWxY8f8HlqB1KVLF3x8fN66ndOnT2s8b0dHRzp16sTatWtJT0/XqNuvXz+GDRv21n2Gh4dr9Ong4ECHDh1YuXIlqampb90+QHBwMCqV6p20lcXa2prq1auzdOlS5dyr722dOnVo3749QUFBZGRk6GznwIED2NnZKXm+XpaRkcGZM2feOtcTZC6plH+lEB+KiYmJzLQTH5y8d+JDk3dO5Ad570Ru1BkSIBJv7z+V88nY2Ji1a9dqnRPvn6+vL5UrVyY+Pp6dO3fyww8/kJyczNChQ5U606ZN09qp7W2MHz8eFxcXEhIS2L9/P3PnziU2NlZjt703tWPHDkxNTenUqdM7GGmmS5cuceXKFQICAjTOv/zeJiUlcfr0afz8/FCr1RrPL0tWUOz333/nyZMnGsnk9fX1+e677xg1ahRDhw7FwsLircZ8+nAM8dFpb9WGEEIIIYQQomAyK2YgeV7FO/GfCj7p6+vj6Oj4TttMSkqSAFYeVKtWTVkD2qRJEy5fvsz//vc/jeBJ1apV32mfFStWVD5vV1dXbt++zYYNG7INPuX3Z7lu3Trc3Ny0dh589b1t1KgR169fZ//+/VrBp+fPn3PkyBFcXV05ceIEe/bsYcCAARp1GjVqhLm5OTt27Mh2x8C8io9OIyZSgk9CCCGEEEIIIbL3n1l2lxfXrl1j0KBBODo64uzszOjRo3n48KFGHTs7O1asWMHcuXNp0qSJsrW9h4cHM2bMYM2aNbi7u1OvXj18fHxISUnhypUr9O7dG0dHR7p37861a9c02kxOTsbX1xc3Nzfq1KlDly5dOHDggEadGzduMGTIEFxcXKhbty5t27YlKChIKT937hzDhw/Hzc0NR0dHunTpws6dO/N032fPnqVbt27UqVOHjh07EhoaqrPe/v376dKlC3Xq1MHNzQ1fX1+Sk5Pz1MfL9PX1sbOz49GjRxrndS27++OPP+jduzcODg64uLgwadIkYmJiXrtPyNzBLyEhgaioKGU54JEjRxg9ejROTk7KTnBxcXF8++23uLm5Ubt2bbp168Zvv/2mMc7ff/+dI0eOKMvhXp6ttHnzZtq2bUvt2rXx8PBgyZIl2S6Ry5I1OyuvO9AVKVKEtDTtoM/+/ftJTk7G29ubWrVqZbs0sF27dnl+P4QQQgghhBBCiLfxn5r5BGj9wV6oUCH09PR49OgRn376KeXLl2fu3LkkJyezYMECPv30U3bt2kXRokWVa9atW0fdunWZOXOmRnuHDh2iWrVqzJgxg/v37zNr1iwMDQ05f/48/fv3p0SJEsybN48xY8awZ88eZYnZhAkTOHbsGGPHjqVy5cr8/PPPjBo1isDAQFq2bAnA8OHDKVGiBDNnzqRo0aLcu3ePx48fK30/fPgQJycn+vTpg5GREWfPnmXy5Mmo1Wo++uijbJ9HREQEgwYNws7OjoULFxIXF8f06dNJSEigZs2aGvc2evRoOnTowBdffMGtW7dYsGABjx49wt/f/7U/h4cPH1KuXLkc61y8eJEBAwbg4uLCokWLePbsGX5+fvz9999s3ryZQoUKvVaf4eHhGBkZYWlpqZybMmUKnTt3JjAwEH19fVJSUhgwYACRkZGMHTuWUqVKsWvXLoYNG0ZwcDB2dnZMmzaNL7/8EmNjYyZOnAhA6dKlAVi/fj3ff/89/fr1o3nz5pw7d47FixcTHx+v1NXl/PnzJCQk4OzsrLM86z3LWna3f/9+nfmxVCoVNjY2ODk50alTJ2bNmsWtW7eoXLmyRr169eqxcuVKoqKi3kn+JyGEEEIIIYQQIjv/qeBTQkICtWrV0jg3Z84cunTpwpo1a0hLS2P16tVKcKJmzZp06NCBHTt20K9fP+UaCwsLFi9ejJ6enlYfS5YswcjICMjMubN161aCgoJo1qwZkJnwefjw4Vy/fp0aNWpw9epV9u/fz/Tp0+nduzcAzZo148GDB0rwKSoqivDwcL755hs8PDyAzKVTL+vQoYPyvVqtpkGDBjx58oQtW7bkGHxau3Ytenp6BAUFYWZmBmQGUl5djrV48WIcHR3x8/NTxmhiYsLUqVO5du0adnZ22faRdd9paWnEx8cTHBxMWFgY8+fPz/GaZcuWUbJkSZYtW4ahoSEAZcqUYdCgQYSGhirPIrc+ExMT2bdvHwcOHKB9+/YaeaU8PDz48ssvleP//e9/XL16lZ9//llZBti0aVPu3r3LkiVLWLRoEVWrVqVo0aKYmppqLIdLT08nMDCQDh06MHnyZADc3NxITU1l9erVDB06lGLFiukc64ULFzA1NdW5A52u99bT01NryV1ERASnT59m0KBB6Onp4enpyZw5c1CpVMqsriw1atQAICwsjObNm+f4HIUQQgghhBBCiLfxnwo+GRsbs2HDBo1zWX/snzlzBhcXF41ZMVWqVKFGjRr8+eefGsGnZs2a6Qw8NWjQQAk8AVSqVAl9fX2NQFGlSpUAePTokdI2ZC6Deln79u3x9fUlISGBYsWKYWNjw/z584mNjaVx48bKTJsssbGxBAQEcOjQIZ48eaLsJPfy/ejy119/4eLiogSeABo3bqxx3YsXL7hy5YrWzB1PT0+mTp3Kn3/+mWvwqWfPnhrHQ4cOxdPTM8drzpw5Q8eOHZXAE2QGc8zNzfnzzz9zDT6NGzdO+V5PT4927dopQaEsrwZejh8/TvXq1alUqZLGrDZXV1d27dqVY3+3bt0iOjpa67P09PRk+fLlhIWF4e7urvPaiIiIbANTL7+3KSkpXLp0CX9/fyZPnoyvr69Sb8+ePaSnpys7OJYqVYoGDRoQEhKiFXzK6isiIiLHexJCCCGEEEIIId7Wfyr4pK+vryS9flVcXJzGMrMsxYsXJzY2VuucLubm5hrHhoaGGBsbawSksgIpWbmSYmNjMTQ01AoSlShRArVaTXx8PKampqxatYoFCxYwY8YMZSbMpEmTaNCgAQA+Pj6cO3eOkSNHKjNzfvrpJ3755Zccnkhm8KFixYpa519eihUfH49arda6bzMzM4yMjLSejy6zZ8+mSpUqREVFsXz5coKCgmjQoIEyI0yXuLg4nc9a12eiy4QJE2jUqBEmJibY2Njo3D721fajo6O5fPmy1kwjINdlflljerXNrOOcxpycnKzxnrzs1ffW2dmZ9PR0Zs2axYABA6hevTqQueTO1taWMmXKEBcXB2TO7PL19eWvv/6ibt26ShtZfSUlJeV4T0IIIYQQQgghxNv6TwWfcmJhYUFkZKTW+cjISGW2UhZds57ept/U1FRiY2M1tr1/9uwZenp6yowkW1tb/P39SU1N5dy5c8yfP5/hw4dz9OhRDAwMOHLkCD4+PhoztDZt2pRr/yVLltR531FRUcr3ZmZm6OnpaZyDzKBUSkqKxrizU6VKFSWAUr9+fdq1a8fs2bNp2rRpts8zp88kL32WL18+22Bjllf7trCwwM7OjpkzZ+ba/quyAoivPqese8hpzBYWFsTHx+e5r6wcTn///TfVq1fn7t27XLhwAUAJSL5MpVJpBJ+y+sptZpwQQgghhBBCCPG2ZLe7/8/Z2ZlTp05pzE65desW165dyzYJ9LvqF2Dv3r0a5/fu3Yu9vT2mpqYa5w0NDWnYsCFDhw7l+fPnPH36lJSUFDIyMjSWpz1//pzDhw/n2r+DgwOnT5/WCHycPHlSY0e5IkWKULNmTa0xZs2qet3nU6RIEUaPHs3ff//NwYMHs63n7OzMoUOHNJa/HT9+nLi4uPf2mbi6unL//n2sra2pU6eO1lcWQ0NDrZ3+bG1tsbKy0vmcDA0NcXBwyLZfW1tboqKiSEhIyNM4b9y4Afzf8jmVSoWenh6BgYGsW7dO48vNzU1ZkpclPDxc6VcIIYQQQgghhHifZObT/9e/f3+Cg4MZOHAgI0aMIDk5mYULF1KmTJkcE3a/rRo1atCmTRtmzZpFUlIStra27Nq1i3PnzrFkyRIArl69yuzZs/H09KR8+fI8f/6c5cuXY2NjQ4UKFShUqBB16tQhKCgIKysrDAwMWLFiBUWLFtWahfOqzz//nE2bNjFkyBCGDBlCXFwcAQEBWjNivL29GTlyJBMmTKBz587cvn2bBQsW0LZt21zzPenStWtXli1bRlBQEK1bt9ZZZ/jw4fTu3Zthw4bRr18/Zbc7BweHbHMnva2uXbuyefNmPvvsMwYOHEilSpWIj4/n8uXLpKam8sUXXwCZM4927tzJ4cOHKVmyJNbW1pQqVQovLy++//57rKyscHd35/z58wQFBfH5559nm9MJwMnJiYyMDC5fvkz9+vU1yjIyMjh//jwAqampXLp0iaVLl1K1alWlbkhICPXr16dVq1ZabT9//hwvLy9OnDhB06ZNgcydBE1NTXUuNX0dZsXkV4gQQgghhBD/VvL/++JdkTfp/ytTpgzr169nzpw5TJgwAX19fZo0aYKPjw9FixZ9r33PnTuX+fPnExQURExMDJUrV8bf319JqF2yZElKlCjB8uXLefLkCWZmZtSvX5+5c+cqeYj8/PyYOnUqPj4+WFpa0q9fPxISEli9enWOfVtbWxMUFMT333/PmDFjqFChAlOnTmXBggUa9Vq2bMmiRYsIDAzEy8sLS0tLevbsqQRjXpehoSHDhw9n8uTJnD59GhcXF606tWvXZvXq1cyfP59Ro0ZhamqKh4cHEydOzDX/0psyMjJi3bp1BAQEsGzZMiIiIrC0tMTe3p5PPvlEqTdkyBDu3bvHxIkTiYuLw9vbm1GjRtGvXz8MDAxYs2YNP/30EyVLlsTb25vhw4fn2K+trS3Vq1fn2LFjWsGnpKQkevXqBYCBgQGlS5emc+fOeHt7Y2hoyMWLF7l9+zaDBg3S2XazZs2wsrJCpVIpwaejR4/SunXrt36OLh6Wb3W9EEIIIYQQomBTZ6jR0393qWfEf5OeWq1W5/cghBCwfv161q1bx/79+99pXrFXxcbG0qRJE3788Ued+aHy4sKFC6SkpGBvb68zkbsQ71piYiK3b9/G1tZW3jnxwch7Jz40eedEfpD3TuSHhIQErly5Qs2aNbVSzYh/lqzcw7nlW5acT+KdCwgIoF69eq91Tb9+/Rg2bNh7GtGH4+XlpZH0/XWexf3793ny5ImSqys4OBg7Ozvlq3bt2rRq1Qo/Pz8SExN1tnH58mXs7OyyXco4efJk+vfvj5OT0xsHnoQQQgghxL+HWq0mMTERmZMghHifZNmdEO9Rjx498pSf6smTJ2zZsoWJEyeSmpqqUbZy5UrMzMxITU3lwoULLFy4kNjYWGbMmKHVjkqlAuDevXv89ddfGjvcQeZywfbt2yv5xN6GkZGR/OuY+GBMTEywt7fP72GI/xh578SHJu9c3skyICGE+GeR4JP411Or1aSmpmJkZPTB+y5dujSlS5fOtd6WLVuoWLEiffv21SqrVasWVlZWADRo0IDHjx+jUqm0gk8ZGRns2bMHZ2dnLl68iEql0go+VaxYkfr163P8+HGaN2/+5jf2/50+HEN8dFruFYUQQggh3hGzYgaSd1IIIf5hJPgk3rt58+YRGhpKeHg4RYsWpUGDBvj4+GBtba1Vd+fOnSxevJinT59St25dpk+fTuXKlZXy5ORk5s+fz+7du4mNjaVy5cp4e3trLDPz8fHh4sWLfPnll/j5+XHr1i3mzZtHs2bNmDdvHsePH+fx48cUL14cNzc3vvzyS8zMzJTrPTw8aN68OVWqVGHlypXExcXh4uKi7GKX5ebNm0ybNo2//vqLUqVKMXLkSK37CQgIYPXq1Zw7dy7HZ7Rz504+/vjjPD3PIkWKkJamHfD5448/ePz4MV988QUHDx5kz549TJo0SSupeLt27fD392fixIkYGLzdr4D46DRiIiX4JIQQQgghhBAie/+Y4FNSUhIAxsbG+TwS8boiIyMZNmwY1tbWREVF8eOPP9KvXz92796tEfy4dOkS9+7dU3bQW7hwIYMHD2bv3r3KrKUJEyZw7Ngxxo4dS+XKlfn5558ZNWoUgYGBtGzZUmnr6dOnfP/994wYMYIyZcpQtmxZkpKSSE9PZ9y4cVhZWfHo0SOWLVuGl5cX69ev1xjz4cOHuXv3LlOnTiU6OhpfX1++++47ZRfA5ORkBg4ciImJCXPmzAHA39+f58+fU6lSpdd6Pnfv3uXBgwc4OTnpLM/IyCAtLU1Zdrdt2zbatm2rVU+lUmFiYkKrVq0wNjZm3759nDhxQtnhLouTkxPR0dFcuXIl16RwQgghhBBCCCHE2yrQwaeHDx8SEBBAaGgo0dHRABQrVgx3d3e8vb2xsbHJ5xGKvPD19VW+T09Pp169ejRr1oxTp07h5uamlEVGRrJhwwYleGNvb0+7du0IDg6md+/eXL16lf379zN9+nR69+4NQLNmzXjw4IFW8Ck2NpagoCCtZWfTp09Xvk9LS6NcuXJ88sknyg4fWdRqNUuXLlWCXg8ePGD58uVkZGSgr69PcHAwT58+5ZdfftEa7+sGn7J2B7Czs9NZ3qRJE43jhg0bMmnSJI1zKSkp7N+/Hw8PD0xNTWnevDlmZmaoVCqt4FPVqlUpVKgQYWFhEnwSQgghhBBCCPHeFdjg082bN/nkk0+Ij4/H1dWVKlWqAHDr1i1+/vlnfv31VzZt2qSxJEsUTKGhoSxdupQbN27w/Plz5fydO3c0gk/VqlXTCNxUrFiRGjVq8Ndff9G7d2/+/PNPIHPZ2Mvat2+Pr68vCQkJyjadlpaWWoEnyFzetmbNGu7evUtCQoLGWF4OPjVo0EAjR1SVKlVITU0lMjKSkiVLEhYWlu14X1dERAT6+voUK1ZMZ/maNWsoWrQo6enp/P333/j7++Pt7c2qVavQ18/csPLo0aPExsbSsWNHIDMZeOvWrdm7dy9JSUkaMwYNDAwwMzPj6dOnrz1WIYQQQgghhBDidRXY4JOfnx/6+vrs2LFDa0bI9evX6d+/P35+fgQGBubTCEVehIWF4eXlRcuWLRkyZAjFixdHT0+Pnj17kpycrFG3ePHiWtcXL16ciIgIIHM2k6GhIZaWlhp1SpQogVqtJj4+Xgk+lShRQqutAwcOMHHiRHr16sW4ceOwtLQkIiKCkSNHao3F3Nxc4zgrEJVV7+nTp9mO99W2cpOcnIyBgQF6erp3bLGzs1NyTTk6OmJubs6oUaMIDQ2lRYsWQOaSOzMzMxwdHYmLiwOgRYsWBAcHc/jwYTw9PbXu53XHKYQQQgghhBBCvIkCG3z6448/GDBggM6lSNWrV6dv376sWbPmww9MvJaDBw9StGhRFi5cqMzSefDggc66kZGROs9lzSaysLAgNTWV2NhYLCwslDrPnj1DT09PI2m4rkDO3r17qVmzpsYucb///vsb3Ze1tTWXLl3SOd6iRYu+VlsWFhakpKSQnJxM4cKFc62fNQvwxo0btGjRgufPn3PkyBGSkpJo3LixVv1du3ZpBZ/i4+O1gnhCCCGEEEIIIcT7oJ/fA8hOWlpajsnFTUxMdO74JQqWpKQkDA0NNYJBKpVKZ90bN25w9+5d5fju3btcvXpVWT7n7OwMZAaRXrZ3717s7e2VWU+5jeVl2Y0lN3Xq1Ml2vK8ra7lfeHh4nupfv34dQFmmd/DgQZKSkpg+fTrr1q3T+Proo4/47bffiImJUa6PiooiMTFRY5mhEEIIIYQQQgjxvhTYmU81a9Zk27Zt9OjRQ2NGC8Dz58/Zvn079vb2+TQ6kVdNmjRh7dq1fPfdd7Ru3Zpz587x888/66xbvHhxhg8fzujRowFYtGgRpUqVolu3bgDUqFGDNm3aMGvWLJKSkrC1tWXXrl2cO3eOJUuW5DoWV1dXZsyYQWBgIPXq1SM0NJSTJ0++0X1169aNpUuXMmzYMMaMGQNk7nana7lfbhwcHDAwMODixYvKrKaXXbp0CTMzM9LS0rh165bST+vWrYHMAJqNjQ29evXSmvFlYWHBjh072Lt3r5KkPSvBeVYwTwghhBBCCCGEeJ8KbPBp1KhRDBkyhPbt29OtWzclsfPt27fZsWMHMTExTJ06NX8HKXRKSkpSciS5u7szYcIENmzYQHBwME5OTixfvpy2bdtqXVerVi3atGnD3LlziYiIoG7dukyfPl0j8ffcuXOZP38+QUFBxMTEULlyZfz9/fHw8Mh1XL179yY8PJwNGzawatUq3Nzc8PPzo2fPnq99j8bGxqxevZpvv/2WL7/8klKlSuHl5cWhQ4eIj49/rbZMTU1p2rQpR48epUuXLlrlgwcPBkBfX59SpUrRqFEjxowZg6WlJZGRkZw8eZKhQ4fqXGpYo0YNatasiUqlUoJPx44do379+m8UKHuVWbEC+ytECCGEEP9S8v8fQgjxz6OnVqvV+T2I7Jw4cYI5c+ZoLWWqWbMmX331lc78NiL/eXt78/DhQ4KDg/N7KP8Yhw8f5osvvuDEiROYmJi8t37S0tJo3rw5EyZMoGvXrm/cTtbsqTp16ryjkQkhhBBC5J06Q42evu7NWsTrSUhI4MqVK9SsWTPXNBZCvCvy3v175PVvwwL9zwaurq7s3LmTiIgIHj58CEDZsmUpWbJkPo9M6HLlyhV+//13jhw5wqhRo/J7OP8oLVq0wNbWlm3btvHZZ5+9t35CQkIoUqQIHTt2fOu2UlJSSExMfK/BMiGyJCYmcvv2bWxtbeWdEx+MvHfiQ5N3Lu8k8CSEEP8sBTr4lKVkyZIScPoH+Prrr4mNjWXAgAEMGjQov4fzj6Knp8e3337LtWvX3ns/M2fOxMDgH/GjL4QQQvynqNVqEhMTKcALE4QQQog3UmD+At25cycAXbp0QU9PTznOzdssHRJv7tChQ2zcuJGLFy+SkJCAtbU1bm5uDBgw4B+zi9qVK1c4ePAggwcP1vjXxeDgYCZNmsTJkyexsrL6YOO5cOECwcHB9OjRA4DTp09rzIIqVKgQpUqVolmzZowdO1bZ7e5lUVFRNG3aFCMjI06ePKm1Y+TDhw/ZuXMnP/7441uP18jISP5VVnwwJiYmssmE+ODkvRPvgywXE0II8V9UYIJPPj4+6Onp4enpiZGRET4+Prleo6enJ8GnfDBv3jyCgoJo27Yt3333HVZWVty7d4///e9/jBs3Ls+Bw/x25coVFi9eTN++fTWCKM2bN2fLli2Ym5t/sLEkJiaydOlSpkyZolXm6+tL5cqVSUtL4++//2bBggWEh4ezatUqrbp79uwhLS2NtLQ0Dh8+jKenp0Z53759WblyJadOnaJRo0ZvPe7Th2OIj05763aEEEKI/wKzYga4eFjm9zCEEEKID67ABJ8OHToEoOxslnUsCpbQ0FCCgoLw8vJizJgxyvkGDRrw8ccf8+uvv75V+2q1mtTUVI0d7rIkJSVpzeR5H6ysrD7ojCfIDBqlpqbSsmVLrbJq1aopydvq169PcnIyvr6+vHjxgiJFimjUDQkJoUqVKjx//pxdu3ZpBZ/Mzc1p06YN69ateyfBp/joNGIiJfgkhBBCCCGEECJ7+vk9gCw2NjbY2NhoHef2JT6s1atXU6JECby8vHSWt2jRQvk+K0ji5uZGnTp16NKlCwcOHNCo7+PjQ8eOHQkNDaVz587UqVOHw4cPExAQQL169QgLC6NXr17UqVOHjRs3AnDz5k1GjBiBs7Mzjo6ODB06lHv37mm0a2dnR1BQEAEBAbi6uuLi4sKkSZNISEgA/m9pHUDjxo2xs7PDw8NDKbOzsyMqKgqA8PBw7Ozs+Pnnn5kxYwYNGjTAzc2N2bNnk5b2f4GXmzdvMm7cONzd3albty6enp6sXr2ajIyMXJ/rzp07admyZZ5yMRUpUgS1Wq3V7v379zl37hydOnWiQ4cO/Pbbb8TExGhd365dO0JDQ5X7E0IIIYQQQggh3qcCE3zKTnp6OmFhYezZs4c9e/YQFhZGenp6fg/rPyktLY2zZ8/SqFEjDA0Nc60/YcIEtmzZwuDBgwkMDKRq1aqMGjVKa1bb06dP+f777+nfvz9BQUHUrFkTgNTUVL744gs6d+5MUFAQTZo04f79+/Tu3ZvY2FhmzZrFvHnziIqKon///qSkpGi0u3HjRu7cucOsWbMYOXIkKpWKJUuWAJlL60aMGAHAypUr2bJlC4sXL87xfhYuXIi+vj4LFy6kd+/erF69mm3btmnch62tLdOmTWPFihX07NmTwMBApc/sJCUlce7cOZycnHSWZ2RkkJaWRnJyMhcvXmT16tW4urpiZmamUS8kJASAjh070rFjR1JTU9m7d69We/Xq1SM9PZ3ff/89x3EJIYQQQgghhBDvQoFZdqdLcHAw8+fPJzIyUtn1Q09PDysrK8aNG0f37t3zeYT/LTExMaSkpFC2bNlc6169epX9+/czffp0evfuDUCzZs148OABgYGBGsvLYmNjCQoKom7duhptpKamMm7cOI2lYxMnTsTCwoIff/yRwoULA+Dk5ETLli3Ztm0bffv2VeqWLFkSPz8/pe/Lly+zb98+JkyYgJWVFRUqVACgVq1aeVpm5+DgwOTJkwFo0qQJp0+fZt++ffTp0wfInEHVuHFjIHP5oLOzM0lJSWzYsAFvb+9s271y5QqpqanY2dnpLO/Zs6fGsZ2dHbNnz9aqt3v3bhwdHSlfvjwAlStXRqVSKc8/i7m5OWXLluWvv/6iXbt2ud63EEIIIYQQQgjxNgps8Gnz5s18++231KxZE29vbypVqgTA7du32bJlC1OmTCE1NVX5w198OHp6ue/Q8ueffwJoBTfat2+Pr68vCQkJmJqaAmBpaakVeMri7u6ucXz8+HE8PT0pVKiQsuTN3Nwce3t7Ll68qFHX1dVV47hKlSrs3r0717Fnx83NTau9U6dOKcfJycksX74clUrFo0ePSE1NVcp05WfKEhERAZBtAGz27NlUqVIFtVrN/fv3Wbx4MYMHD+ann35S2rx69So3btxQgmMAHTp0YPHixTx8+FArYGhpaan0K4QQQgghhBBCvE8FNvgUFBRE/fr1+fHHHzWWeDVq1Iju3bvz+eefs3LlSgk+fUCWlpYULlyYhw8f5lo3NjYWQ0NDLC0tNc6XKFECtVpNfHy8EnwqUaKEzjZMTEy0AjbR0dGsXbuWtWvXatV/dSngq7vVGRoaai3Nex2vLnN7tb25c+eybds2Ro4cSe3atTEzM+PQoUMsXbqU5OTkbINPycnJADqTrENmkCsr4biDgwOVKlWiW7du7Nixg08//RSAXbt2oa+vj5ubG3FxcUBm4C4gIICQkBCGDh2q0aaRkZHSrxBCCCGEEEII8T4V2ODTs2fPGDhwoM7cQoaGhnTo0IG5c+fmw8j+uwwMDHBycuLUqVOkpaXlmBzbwsKC1NRUYmNjsbCwUM4/e/YMPT09jUBOdjOpdJ23sLDA3d2dTz75RKssu+DOh7J371569eqlEegJDQ3N9bqs5xMXF0fJkiVzrV+lShUAbty4AWQu8duzZw8ZGRk6l9GpVCqt4FN8fDzVqlXLtS8hhBBCCCGEEOJtFdjgU82aNbl9+3a25bdv36ZGjRofcEQCYMCAAQwdOpRly5bpzGMUGhqKu7s7zs7OwP8FZLLs3bsXe3t7ZdbT62rcuDE3btzA3t6eQoUKvdlN/H9Zgc23mQ31suTkZI1gaXp6ep6W+dna2gKZu+plBZZycv36dQCKFSsGwJkzZ3j06BGjRo2iQYMGGnWPHTtGUFAQ165dU3JKZWRk8PDhQz7++OO83ZgQQgghhBBCCPEWCmzwacqUKQwbNozy5cvTq1cvjI2NgcydwTZv3szevXtZsWJFPo/yv8fd3Z3BgwcTEBDA33//TYcOHShWrBjh4eH873//Iz4+Hnd3d2rUqEGbNm2YNWsWSUlJ2NrasmvXLs6dO5fr7m85GT16NN27d2fQoEH07NmTEiVK8OzZM37//Xfq169Px44d89xWVqBn48aNtGrVCmNj42yTfueFq6sr27Zto2rVqhQrVoxNmzblKbBVvnx5SpYsyaVLl7RyXEHmDKf09HQyMjK4f/8+S5YswcTEhK5duwKZM5tMTU0ZMGCA1uyvatWqsWbNGkJCQpR7u337NgkJCdSvX/+N7zWLWbEC+ytECCGEKHDkv5tCCCH+qwrsfwF9fHzQ19dn1qxZzJ07F2trayBzO/v09HSsra2ZOHGixjV6enrs2rUrP4b7n/Lll19Sr149Nm7cyNdff01iYiLW1ta4ubkxaNAgpd7cuXOZP38+QUFBxMTEULlyZfz9/fHw8HjjvitWrMi2bdtYuHAh06dPJyEhgZIlS9KgQYPXDhzZ29szatQotm3bxsqVKylTpgyHDx9+47FNmTKFadOm8d1332FiYsJHH31E69atNZKAZ6ddu3YcPXoULy8vrbJJkyYBme93iRIlqFOnDosWLaJSpUqkpqayb98+WrVqpXPZoZWVFe7u7oSEhDB+/Hj09PQ4evQoNjY2Sh6pt+HiYfnWbQghhBD/JeoMNXr6uW/eIoQQQvyb6KnVanV+D0KXfv36vdF169evf8cjEeL9u3r1Kh999BEHDx7Exsbmvfb18ccf06JFC53LJvPqwoULpKamYm9vr8xKFOJ9SkpKUnZulHdOfChJSUncunULW1tbTExM8ns44j8gISGBK1euULNmzTdOUSDE65L3TuQHee/+PS5cuACQ6+SGAjHzKTk5mcKFC2uckyCS+C+pUaMGHh4erFu3Tpnp9D788ccf3L9/n88+++yt2zI0NJQggPhgjI2NqVy5cn4PQ/zHGBkVJi0tjQL673RCCCGEEP8YBSL4tGrVKvT19Rk+fHh+D0W8QwEBASxevFg5NjIyoly5cnTr1o1Bgwahr6+fj6PLFB4eTsuWLVm0aJHOneI+JDs7O/73v/8pwafTp09rBIkKFSpEqVKlaNasGWPHjlUSjr8sKiqKpk2bYmRkxMmTJ7WCQ1u3bqVMmTKYm5u/kzGfPhxDfHTaO2lLCCEKErNiBrh4WOa4s6sQQgghhMibAvF/VPXq1WPs2LGcPXuWuXPnYmFhwR9//JGna1/d3UsULMbGxqxduxbIXL5w+vRp/Pz8UKvVDB06NJ9HB9bW1mzZsoVKlSrl6zgSExPZunUrU6ZM0Srz9fWlcuXKpKWl8ffff7NgwQLCw8NZtWqVVt09e/aQlpZGWloahw8fxtPTU6N8ypQptGjRglOnTtGoUaO3Hnd8dBoxkRJ8EkIIIYQQQgiRvQIRfGrcuDG7d+9mxowZdOnShSNHjtCvXz/09LJPxqhWq9HT0+PKlSsfcKTidenr6+Po6KgcN2rUiOvXr7N///63Dj5l7QBnaGiocV6tVpOamoqRkVGubRgZGWmMT5eUlBQMDAze60ytPXv2kJqaSsuWLbXKqlWrpqyfrV+/PsnJyfj6+vLixQutJOMhISFUqVKF58+fs2vXLq3gk7m5OW3atGHdunXvJPgkhBBCCCGEEELkpkAEnwBKlCiBv78/Bw8eBGDdunX5PCLxvhQpUoS0NM3ZMvPmzSM0NJTw8HCKFi1KgwYN8PHxUXY5hMwk9KamprRr145ly5Zx//59tmzZwsaNG7l48SJffvklfn5+3Lp1i3nz5tGuXTvOnTvHggULCAsLo1ChQjRv3pyvv/6a4sWLA7qX3Xl4eNC8eXPKlCnDpk2bePToESdOnCA6OprFixdz9uxZYmJisLGxoXv37vTv318jMLVixQq2bdvG48ePKVKkCDVq1OC7776jfPny2T6TnTt30rJlyzwt7yhSpAhqtZqMjAyN8/fv3+fcuXOMHTuWuLg41q9fT0xMDJaWlhr12rVrh5eXF1FRUVhZWeXanxBCCCGEEEII8TYKTPApS6tWrQBo2LBhPo9EvCtZgaasZXf79+9n2LBhGnUiIyMZNmwY1tbWREVF8eOPP9KvXz92796tEZC5ePEiDx48YMyYMZibm1OmTBkAnj59yvfff8+IESMoU6YMZcuW5dy5c/Tr1w93d3cWLFhAYmIiCxcuxMvLiy1btuQ45v3791OxYkW++eYb9PX1MTU15dq1a9ja2tKpUyeKFCnClStXCAgIICEhQdk5bufOnSxatIjRo0fj6OhIfHw8f/75Jy9evMi2r6SkJM6dO0eXLl10lmdkZJCWlkZ6ejo3btxg9erVuLq6YmZmplEvJCQEgI4dOxIXF8fq1avZu3cvvXv31qhXr1490tPT+f333/M9z5UQQgghhBBCiH+/Ahd8ypKWlkZSUhJFixbVWf78+XOMjY0lEWgBl5CQQK1atTTOeXp6ai258/X1Vb5PT0+nXr16NGvWjFOnTuHm5qaUxcbGsn37diXo9PL5oKAg6tatq5z75ptvqF27NosXL1aWcFavXp2OHTsSGhqKu7t7tuNOTU0lKChIY9vPxo0b07hxYyBzaZ+zszNJSUls2LBBCT6FhYVhZ2enEVzLCqhm58qVK6SmpmJnZ6ezvGfPnhrHdnZ2zJ49W6ve7t27cXR0VGZYVa5cGZVKpRV8Mjc3p2zZsvz1118SfBJCCCGEEEII8d7l/3Zj2fj++++1/mh+WZ8+fZg1a9YHHJF4E8bGxmzfvp3t27ezadMmvvnmG44dO8bkyZM16oWGhtK7d2+cnZ2xt7enWbNmANy5c0ejXvXq1bUCTwCWlpYagafExETOnj1Lu3btSE9PV5JwV6pUiTJlynDhwoUcx+3i4qIReAJITk7G39+f1q1bU6dOHWrVqsWCBQuIiIhQZjbZ29tz+fJlfH19OXPmDKmpqbk+o4iICIBsl8DNnj2b7du3s23bNubPn09qaiqDBw/WmE119epVbty4QceOHZVzHTp04M8//+Thw4dabVpaWir9CiGEEEIIIYQQ71OBnTZ07Ngxunbtmm1527Zt2bVr14cbkHgj+vr6SrJsAGdnZ9LT05k1axYDBgygevXqhIWF4eXlRcuWLRkyZAjFixdHT0+Pnj17kpycrNFeiRIldPbz6vm4uDjS09Px9fXVmFWV5dGjRzmOOysn1Mvmzp3Ltm3bGDlyJLVr18bMzIxDhw6xdOlSkpOTKVKkCN26dePFixds3bqVNWvWYGZmRteuXZkwYQLGxsY6+8q6x+wSpFepUkV5hg4ODlSqVIlu3bqxY8cOPv30UwB27dqFvr4+bm5uxMXFAeDu7k5AQAAhISFaM82MjIy0nq0QQgghhBBCCPE+FNjg09OnTylVqlS25dbW1jx58uQDjki8K5UrVwbg77//pnr16hw8eJCiRYuycOFCJXH3gwcPdF6b3Q6Ir543MzNDT0+PYcOG6Vz2VqxYsRzHqKufvXv30qtXL41ATmhoqEYdfX19Pv/8cz7//HOePHnC7t278fPzo1ixYowcOVJnXxYWFkBmwKxkyZI5jgsyg1EAN27cADKXAO7Zs4eMjAydy+hUKpVW8Ck+Pp5q1arl2pcQQgghhBBCCPG2CmzwydLSktu3b2dbfvPmzWzzQYmCLStokhUASkpKwtDQUCPgo1Kp3qoPU1NTHB0duXXrlsbMq7eRnJyMoaGhcpyens7u3buzrV+qVCkGDhxISEgIt27dyraera0tkLnzXlZgKSfXr18H/u/5nTlzhkePHjFq1CgaNGigUffYsWMEBQVx7do1JadURkYGDx8+5OOPP861LyGEEEIIIYQQ4m0V2OBT06ZN2bx5M506dcLe3l6j7NKlS2zdulWSJf8DZGRkcP78eSAzifelS5dYunQpVatWpX79+gA0adKEtWvX8t1339G6dWvOnTvHzz///NZ9f/XVV3z++eeMHTuWDh06YG5uzuPHjzlx4gTdunXDxcXltdpzdXVl27ZtVK1alWLFirFp0yZSUlI06kydOhVzc3McHR0xNzfn7NmzXL16lT59+mTbbvny5SlZsiSXLl3SmQT9xo0bpKenk5GRwf3791myZAkmJibKslSVSoWpqSkDBgygSJEiGtdWq1aNNWvWEBISogSfbt++TUJCgvL834ZZsQL7K0QIId6K/H4TQgghhHh3Cuz/WY0ZM4Zjx47Ro0cPPDw8qFq1KpD5h/ivv/6KlZUVY8aMyedRitwkJSXRq1cvAAwMDChdujSdO3fG29tbmUXk7u7OhAkT2LBhA8HBwTg5ObF8+XLatm37Vn07OTmxadMmAgICmDRpEqmpqZQuXZpGjRpRsWLF125vypQpTJs2je+++w4TExM++ugjWrdurZE8vV69emzdupVt27aRmJhI+fLlmTRpEj169Mix7Xbt2nH06FG8vLy0yiZNmgRkLgUsUaIEderUYdGiRVSqVInU1FT27dtHq1attAJPkJnE3N3dnZCQEMaPH4+enh5Hjx7FxsbmncwIc/GwfOs2hBCioMrIUJOWlpbfwxBCCCGE+MfTU6vV6vweRHaePn2Kn58fhw4d4vnz5wAULVqUVq1aMW7cuBxzQgnxT3L16lU++ugjDh48iI2NzXvt6+OPP6ZFixZ4e3u/cRsXLlwgNTUVe3v7bBOpC/EuJSUl8fDhQ8qWLSvvnPhgEhMTuXz5MjVr1tTaAVWI9yEhIYErV67IOyc+KHnvRH6Q9+7fI2sn+dwmN+h/iMG8KWtra2bPns0ff/zB8ePHOX78OH/88QezZs3Kt8BTQEAAdnZ2ypeLiwt9+vTRSjwNYGdnx6pVq975GDw8PJgxY0au9cLCwmjUqBH9+vXj3r17tG/fnsePH7/z8WSJi4vDzs6O4ODg99ZHlqzPoW/fvlplM2fOxMPD472P4V2qUaMGHh4ejBo1itGjRyvng4ODNd632rVr06pVK/z8/EhMTNTZ1uXLl7Gzs6N169ZaZX/88QfXrl3j3r17bz1mQ0NDCQKID8bY2JjKlSv/K985dUaB/Teg/7wC/O9zQgghhBD/KAV22d3L9PT0KF68eH4PQ2FsbMzatWuBzNlZy5YtY/jw4WzcuBEnJyel3pYtWyhbtmx+DZMdO3bQuXNnjI2N6dq1K25ubpQuXTrfxvM+nDlzhtOnT792/qaCaODAgXz22Wc6A4srV67EzMyM1NRULly4wMKFC4mNjdVZNytZ+7179/jrr7+oW7euUvb8+XOmTJnCd999h5eXF5UqVXqrMZ8+HEN8tCxJEeJNmRUzkOWrQgghhBDiX6/ABJ8WL16Mnp4eI0aMQF9fn8WLF+d6jZ6eXrbb179P+vr6ODo6Ksd169bF3d2dnTt3agSfXq6TH6ZNm6Z8P378+HwcyfthampK1apVWbJkyb8i+HT8+HGqVKlC7dq1tcpq1aqFlZUVAA0aNODx48eoVCqt4FNGRgZ79uzB2dmZixcvolKpNIJPLVq0AGD37t1s3LiRb7755q3GHB+dRkykBJ+EEEIIIYQQQmSvwCy7W7x4MYsXL1YSe2Yd5/ZVEJQqVQorKysePnyocf7VZXdHjhxhwIABNG7cGCcnJ3r06MHRo0e12nvy5AlfffUVrq6uODg40K5dO2Wm1cs2btxIixYtcHZ2xsvLi6ioKKUsISGBGTNm0LZtW+rWrYuHhwdTp04lPj5eo42MjAyWLFmCh4cHtWvXpl27dmzevDlP971161Y8PDyoW7cun3/+OXfv3tWqs3PnTvr06UPDhg1p0KAB/fr1IywsTKPO48ePGTNmDK6urtSpUwcPDw9++OGHPI3By8uLU6dOcfbs2RzrxcXF8e233+Lm5kbt2rXp1q0bv/32m1IeEBBAw4YNSU1N1bju+vXr2NnZcezYMeXckSNH6NGjBw4ODjRq1Ihp06aRkJCglKempjJ79myaN29O7dq1cXNzY/jw4VrP/lU7d+7Mc5L1IkWK6EyC+8cff/D48WN69+5N8+bN2bNnD+np6Vr12rVrh0qlkkS6QgghhBBCCCHeuwIz8+nq1as5HhdkL168IDY2lnLlyuVYLzw8nBYtWjBw4ED09fU5evQoQ4cOZe3atcrMnejoaGV3uHHjxlGuXDnu3r2rlaPn8OHD3L17l6lTpxIdHY2vry/fffcdCxYsADKT86anpzNu3DisrKx49OgRy5Ytw8vLi/Xr1yvtzJkzh3Xr1jFixAjq1avHkSNHmDZtGmlpaXz66afZ3suvv/7KlClT6NatG56enly6dEnn7oPh4eF07dqVChUqkJKSwu7du+nbty+7du3C1tYWgK+++oqnT58yefJkihcvzqNHj7h48WIennzmTB57e3sCAwOzza+VkpLCgAEDiIyMZOzYsZQqVYpdu3YxbNgwJadShw4dWLx4Mb/99psyOwgyZwgVL14cV1dXAPbu3cu4cePo1q0bo0aNIiIiAj8/P+Li4pRnv3z5cjZv3syECROoVq0a0dHRHD9+nJSUlGzv4+7duzx48EBj5tzLMjIySEtLU5bdbdu2TWegSqVSYWJiQqtWrTA2Nmbfvn2cOHGCpk2batRzcnIiOjqaK1euvJNd74QQQgghhBBCiOwUmODTP03WjJGnT58yd+5cihQpwmeffZbjNS8HczIyMnBxceHvv/9m69atSvBpzZo1REZG8ssvvyjBrMaNG2u1pVarWbp0KUZGRgA8ePCA5cuXk5GRgb6+PlZWVkyfPl1jvOXKleOTTz7h9u3b2NraEhUVxYYNGxg0aBCjRo0CwM3NjejoaAIDA+nTpw+FChXSeS9Lly6lfv36+Pr6AtC0aVOSk5NZsmSJRr2Xd1TLyMigSZMmhIWFsWPHDmUp4IULFxg/fjyenp5K3a5du+b4LF82YsQIRo0aRVhYGA4ODlrlKpWKq1ev8vPPP1O1alVlvHfv3mXJkiUsWrSIypUrY29vT0hIiFbwqV27dhQqVAi1Ws2cOXPw9PRk5syZSp2SJUsydOhQvLy8qFatGhcuXMDNzU0jGXpuM5qydgiws7PTWd6kSRON44YNGzJp0iSNcykpKezfvx8PDw9MTU1p3rw5ZmZmqFQqreBT1apVKVSoEGFhYRJ8EkIIIYQQQgjxXhWYZXf/JAkJCdSqVYtatWrRokUL9u3bx5w5c6hcuXKO1z1+/JiJEyfStGlT7O3tqVWrFr/99hu3b99W6pw8eZJGjRrlOouqQYMGSuAJoEqVKqSmphIZGamc27lzJ127dqVevXrUqlWLTz75BIA7d+4Ambvhpaam0q5dO42227dvT1RUlFLvVenp6Vy6dElrNzVdAZabN28ycuRIXF1dqVmzJrVq1eL27dsabdvb27N69Wo2bdqkc+leblq3bk316tUJDAzUWX78+HGqV69OpUqVSEtLU75cXV2VoA9Ahw4dOHz4MElJSUDm87l//z4dOnQA4Pbt2zx48ID27dtrtNOwYUP09fWV2Vr29vaEhoYSEBBAWFgYGRkZud5DREQE+vr6FCtWTGf5mjVr2L59O1u2bGHmzJncvXsXb29vjbaPHj1KbGwsHTt2BMDIyIjWrVtz4MAB5Z6yGBgYYGZmxtOnT3MdmxBCCCGEEEII8TYK7MwntVrNli1b2L59O/fv3ycuLk6rjp6eHpcvX/7gYzM2NmbDhg2o1Wru3LmDn58fEydORKVSYW1trfOajIwMRowYQXx8PKNHj6ZixYqYmJjg7+/Po0ePlHoxMTFUq1Yt1zGYm5trHGcFopKTkwE4cOAAEydOpFevXowbNw5LS0siIiIYOXKkUic2NhaAEiVKaLSVdRwTE6Oz76ioKNLS0pQE2K9el+X58+cMHDgQKysrfHx8KFu2LIULF2by5MnKGAAWLFjAggULWLhwIdOnT8fW1pbx48fTpk2bXJ8DZL4Hw4cPZ/z48Vy6dEmrPDo6msuXL1OrVi2tspdndnXo0IF58+Zx+PBhPD09CQkJwcbGRlkKFx0dDZBtkvuszzEraf6OHTtYvHgxVlZW9O3bl5EjR6Knp6fz2uTkZAwMDLItt7OzU563o6Mj5ubmjBo1itDQUGWmlkqlwszMDEdHR+XnpUWLFgQHByv39DIjIyONz0EIIYQQQgghhHgfCmzwac6cOaxZs4aaNWvSuXNnLCws8ntICn19fWWpkoODA7a2tvTs2ZPAwECNpW4vu3v3LpcvXyYwMJBWrVop51+dkWJpaflOZqPs3buXmjVrauyG9vvvv2v1BRAZGUmpUqWU88+ePdMof5WVlRUGBgYaCc5fvi7L+fPnefz4McuXL6dGjRrK+fj4eEqXLq0cW1tb4+vrS0ZGBhcvXmTp0qWMGzeOvXv3Ur58+Tzdb/v27QkICGDJkiWULVtWo8zCwgI7OzuNpXK6lClTBicnJ/bs2UO7du345Zdf6NKlixIQynoeU6dO1bm8LyvwaGRkxKhRoxg1ahR3797lf//7HwEBAZQrVy7b5YQWFhakpKSQnJxM4cKFc73fKlWqAHDjxg1atGjB8+fPOXLkCElJSTqXae7atUsr+BQfH5/tZyyEEEIIIYQQQrwrBTb4tHPnTtq0acOiRYvyeyi5qlOnDh06dCA4OBhvb29KliypVSdrhomhoaFy7sGDB5w7d45KlSop5xo3bszq1at5+PChVhDldSQlJWn0BZkzY14dt6GhIXv37sXe3l45/8svv1C8eHGNcb2sUKFC2Nvbc+DAAfr376+c37dvn9YYQPOez549y4MHD3TO7tLX18fBwYGxY8cqCdXzGnzS19dn+PDh+Pj40LBhQ40yV1dXQkNDsba21giy6dKhQwdmzZrFr7/+ytOnT5UlbACVK1emdOnS3L9/XyOfU04qVqzI+PHj2bJlC7du3cq2Xlby9fDwcCWwlJPr168DKMv0Dh48SFJSkjJz7GU7duwgJCSEmJgYJdgUFRVFYmKiVl0hhBBCCCGEEOJdK7DBp6SkJGWHsX8CLy8v9uzZw9q1a5kwYYJWeVbgws/Pj4yMDBISEvD399dapte/f39+/vlnPv30U0aMGEH58uW5f/8+d+7c4csvv8zzeFxdXZkxYwaBgYHUq1eP0NBQTp48qVHHysqKTz/9lFWrVmFkZISjoyOhoaGEhIQwZcqUbJONAwwfPhwvLy8mTZqk7Hb3888/a9RxdHTE1NSU6dOnM3ToUJ48eUJAQIBGACg+Pp5BgwbRpUsXbG1tSU1NZf369Zibm2sExPKiU6dOBAYGcvr0aWxsbJTzXbt2ZfPmzXz22WcMHDiQSpUqER8fz+XLl0lNTeWLL75Q6rZv354ffviBb7/9lqpVq2rM2NLT08PHx4cJEyaQkJBA8+bNMTEx4eHDh4SGhjJu3DhsbW3x8vKiVq1a2NvbY2Jiwq+//kpsbCyNGjXKduwODg4YGBhw8eJFncGnS5cuYWZmRlpaGrdu3cLf358SJUooebdUKhU2Njb06tVLa+mehYUFO3bsYO/evfTu3Rv4vwTnzs7Or/WMhRBCCCGEEEKI11Vgg0+NGzfmwoUL9OrVK7+HkieVK1fG09OTn376iWHDhmFmZqZRbmRkREBAADNmzGDMmDGUKVOGESNGcOrUKSVRNWTOZPnpp5/w8/Nj3rx5JCYmYmNjoyQLz6vevXsTHh7Ohg0bWLVqFW5ubvj5+dGzZ0+Nel999RVmZmZs376dZcuWYWNjw/Tp05UgRXZatmzJ9OnTWbZsGbt376Zu3bosXLiQHj16KHVKlCjBokWLmDNnDl5eXlSqVInp06ezcuVKpU7hwoWpXr0669ev59GjRxgbG1O7dm1WrVqllVMqN4UKFWLo0KFMnjxZ47yRkRHr1q0jICCAZcuWERERgaWlJfb29lrP1crKikaNGvHbb7/Rp08frT7at2+Pubk5y5YtU2aS2djY0LRpUyXnlZOTE7/88gs//vgj6enp2NraMm/evByDqaampjRt2pSjR4/SpUsXrfLBgwcDmTO8SpUqRaNGjRgzZgyWlpZERkZy8uRJhg4dqjNnVI0aNahZsyYqlUr5XI8dO0b9+vW18nS9LrNiBfZXiBD/CPIzJIQQQggh/gv01Gq1Or8HocuTJ08YPHgwHTp0oFevXtnuAibEv8Xhw4f54osvOHHiBCYmJu+tn7S0NJo3b86ECROyzUGVm6yZU1m5z4QQb06doUZPX/dmAyJ/JSQkcOXKFWrWrImpqWl+D0f8B8g7J/KDvHciP8h79++R178NC+w/ubZr1w61Ws2iRYtYtGgRhQsXRl9fX6OOnp4ef/75Zz6NUIh3q0WLFtja2rJt2zY+++yz99ZPSEgIRYoU0chn9SZSU1NJSkrC2Nj4HY1MiOwlJSUpufD+be+cBJ6EEEIIIcS/XYENPrVt2zbbbeeFeB2PHj2iU6dOTJs2jU6dOuX3cLKlp6fHt99+y7Vr1957PzNnzsTA4O1+/A0NDf91QQBRcBkbG1O5cuX30rbMPBJCCCGEEOL9KrDBp1mzZn2Qfnbt2sW6deu4ffs2arWaUqVK4eTkxPjx4ylevPg772/NmjXY2tri7u7+TtoLCAhg8eLFyrGlpSWVK1dm+PDhWn3Y2dnx1VdfMWjQIACCg4MxNDR87wGZ+vXr8/nnnzNq1Kh30t61a9dYsWIFp0+fJiYmBnNzc5ycnOjbty+NGzfWqKtWq/n666/5+OOP3/l9BgcHM2nSJE6ePPna+al0iYyM5PPPP2fLli3KOQ8PDx48eKAcW1paYmdnx+jRo6lfv77OdkaMGMHhw4eZPXu21rK68PBwpk2bRkhIyFuPF+D04Rjio9PeSVtC5AezYga4eFjm9zCEEEIIIcQ/0MaNG5kxYwYODg5s27Ytv4dToBXY4NOHEBQUhJ+fH/3792f06NGo1Wpu3LiBSqXi6dOn7yX4tG7dOpo3b/7Ogk+QOSNg7dq1ADx9+pRly5YxfPhwNm7ciJOTk1Jvy5YtlC1bVjnesWMHpqamBXo20KsOHjzIuHHjqFatGuPGjaNChQpERUWxf/9+Bg4cyO+//66R7P2nn34iPT2dr7766p2PpXnz5mzZsgVzc/N30t7SpUtxcXGhevXqGufbtm3LwIEDgcwA1dq1axk8eDC7du2iQoUKGnVjYmI4duwYkLm87tXgU7ly5Wjbti0BAQHMnj37rcccH51GTKQEn4QQQgghhBD/PVm7joeFhXH37l0qVqyY30MqsAps8Gnnzp15qvemCZMB1q9fz0cffYSPj49yzt3dncGDB5ORkfHG7X5o+vr6ODo6Ksd169bF3d2dnTt3agSfXq7zTxQREcHEiRNxdnZmxYoVGBkZKWVt27alR48eWkvJPvnkk9feKTCvrKys3smMJ4AXL17wv//9jzlz5miVlShRQuOzq1+/Pi4uLhw7doy+fftq1N23bx+pqam4urpy8uRJIiMjtYKo3bt3Z8CAAUycOPGdjV8IIYQQQggh/kvu37/PuXPnWLx4MVOnTkWlUuHt7Z3fwyqw9HOvkj98fHyy/Zo0aZLy9Tbi4uKwtrbWWfZycvOdO3fSp08fGjZsSIMGDejXrx9hYWEa9QMCAqhXrx7Xrl2jT58+1K1bl44dOyqzUOD/llBt3LgROzs77OzsCA4OznMfeVWqVCmsrKx4+PChxnk7OztWrVoFQL9+/fj99985cuSIMpaAgAAAjhw5woABA2jcuDFOTk706NGDo0eP5qnvgwcP0q5dO+rUqUP37t2zvYcjR47Qo0cPHBwcaNSoEdOmTSMhISHHtrdu3crz58+ZNGmSRuApS6NGjZRd4vJyD3FxcUyePJmmTZtSp04d3N3dGTduXJ7Lg4ODsbOzIyoqSjk3b948OnXqRL169WjatCnjx4/n6dOnuT63ffv2AdCsWbNc65qYmFCoUCHS0rRnHIWEhFCxYkV8fHxIS0tjz549WnWcnZ2xtLREpVLl2pcQQgghhBBCCG0qlQoLCwvc3d1p27at1t9X4eHhyt/gW7ZsoVWrVtSuXZuPP/5Y59/JJ0+e5JNPPsHR0ZH69eszYsQIbt68+aFu570rsDOfDh06pHUuIyOD8PBwfvrpJx4+fPjWy4Zq1arF5s2bKVeuHM2bN6dkyZI664WHh9O1a1cqVKhASkoKu3fvpm/fvuzatQtbW1ulXmpqKhMmTOCzzz7Dy8uLoKAgRo8ezeHDhylWrBiLFy9m6NChODk5KcuospZN5bWPvHjx4gWxsbGUK1cu2zrTpk3jyy+/xNjYmIkTJwJQunRpZSwtWrRg4MCB6Ovrc/ToUYYOHcratWtxcXHJts0rV64wevRomjVrxqRJkwgPD2fs2LGkpKRo1Nu7dy/jxo2jW7dujBo1ioiICPz8/IiLi2PBggXZtv/HH39gbW2NnZ1drs/g3r17NGvWjAEDBlCoUCGd9+Dr68uxY8f44osvsLGxISIiQiNAlVu5LpGRkQwbNgxra2uioqL48ccf6devH7t3784xwfeJEyewt7encOHCWmVqtVoJNEVFRbF06VIKFSpE8+bNNeo9fvyYP/74Ay8vL+zs7KhevTohISH069dPo56+vj5169blxIkTfP755znejxBCCCGEEEIIbSqVitatW2NkZETHjh356aefCAsLw8HBQaNeSEgIL168oFevXujp6bFy5UpGjRrFwYMHMTQ0BDL/HhwyZAjlypXD29ubpKQkNmzYQJ8+fQgODs7xb/t/igIbfLKxsdF5vnz58jRu3JihQ4eyYcMGpk2b9sZ9TJs2DW9vbyZPngxk5sNp0aIF/fv31/hwX546l5GRQZMmTQgLC2PHjh2MHz9eKcsKPmXlc7K1taVly5YcPXqULl26YG9vj5GRkdYyqtfpIztZwYmnT58yd+5cihQpwmeffZZt/apVq1K0aFFMTU21xvLpp59qjMXFxYW///6brVu35hh8WrFiBWXKlCEwMJBChQoBULhwYb755huljlqtZs6cOXh6ejJz5kzlfMmSJRk6dCheXl5Uq1ZNZ/tPnjzRyFmVk1fvvUmTJlr3cOHCBTp27MhHH32k1OvQoYPyfW7luvj6+irfp6enU69ePZo1a8apU6dwc3PL9roLFy7QpEkTnWWbNm1i06ZNyrGxsTGzZ8/WWk8cEhKCWq2mY8eOAHTq1Ak/Pz/u3bunlRuqRo0abNy4Mcd7EUIIIYQQQgih7eLFi9y6dYspU6YAmatLSpcujUql0go+PXz4kP3792NhYQFkxgm8vLz47bffaNGiBQBz5szBwsKCLVu2YGlpCUCrVq346KOP3lm+3vxWYINPuWnevDmLFi16q+BT1syQkydP8ttvv/HHH3+wfv16goOD2bhxIzVr1gTg5s2bzJ8/n3PnzhEZGalcf+fOHY329PX1NXZbK1euHMbGxjx58iTXseS1D10SEhKoVauWclyoUCGWLFnyxtuSP378mAULFnDixAkiIiJQq9UAGn3o8tdff+Hh4aEEngDatWunEXy6ffs2Dx484Ouvv9ZYNtawYUP09fW5ePFitsEnAD29vG2HHhERweLFizl16hRPnz4lLS2NtLQ05TMFsLe3Z8eOHZQsWZKmTZtqJfrOrVyX0NBQli5dyo0bN3j+/Lly/s6dOzkGnyIiIrLNv9S+fXtlh8LY2FhCQkL46quvMDc31whYhYSEUKtWLeVz79ChA/Pnz0elUjFy5EiNNosVK0Z0dDSpqalKtF0IIYQQQgghRO5UKhUlSpRQJjbo6enh6enJrl278PHx0fib2NPTUwk8Acqu5ffv3wcyJ5BcuXKFwYMHK4EnyJww4OrqSmho6Ae4o/fvHxt8un//vtZyrjdhZGSEu7u7Mlvp2LFjDBs2jMDAQBYvXszz588ZOHAgVlZW+Pj4ULZsWQoXLszkyZNJTk7WaMvY2FgrF5GhoaFWvVe9Th+6GBsbs2HDBtRqNXfu3MHPz4+JEyeiUqmyzWmVnYyMDEaMGEF8fDyjR4+mYsWKmJiY4O/vz6NHj3K8NiIiQiu5ddGiRTWWkkVHRwNoBUOy5NRHqVKluHXr1mvdw6hRo6hUqRImJibMnTuX8PBwpd6UKVOwsLDgxx9/ZM6cOZQpU4ahQ4cqCcpzK39VWFgYXl5etGzZkiFDhlC8eHH09PTo2bNnrp9jSkqKzjxWkJnYvE6dOspxkyZNuHz5Mn5+fkrw6ebNm1y5coVRo0YRFxcHgJmZGbVr1yYkJETreWf1lZycLMEnIYQQQgghhMij9PR0du/ejYuLi8bflw4ODqxevZqTJ09qTDwoU6aMxvVZgaisv9uycjXrSrdTpUoVfvvtNxISEjA1NX3n9/IhFdjg0x9//KHzfFxcHGfOnGH9+vW0bNnynffbtGlTatSooST2On/+PI8fP2b58uXUqFFDqRcfH6/kSHpbb9uHvr6+EpxwcHDA1taWnj17EhgYyPTp019rLHfv3uXy5csEBgbSqlUr5XxSUlKu15YsWVJj1hZkBtZeDrxkRXKnTp2qNR0RyDFY1rBhQ06ePMmNGzdynB117949Lly4wNKlS/Hw8NAYy8vMzMz45ptv+Oabb7h27Rrr1q1j+vTpVK9enfr16+da/qqDBw9StGhRFi5cqCSsf/DgQbbjfJmFhYXyyyc3enp6VK5cmcOHDyvndu3aBWQmvs9KHP+yS5cuacxci4uLw9DQkKJFi+apTyGEEEIIIYQQcOrUKSIiIti9eze7d+/WKlepVBrBp5dnQb0sa4XRf0WBDT7169dP5xIrtVpNoUKFaNeunZKr6U09e/aMEiVKaJxLSkri0aNHVK1aVTkGNGaHnD17lgcPHuQYAMmOrplQ77qPOnXq0KFDB4KDg/H29s42kbqusWQdvzyWBw8ecO7cOSpVqpRjvw4ODvz6669MmjRJ+QHbu3evRp3KlStTunRp7t+/T9++fV/rvnr06MGqVavw9fVl+fLlWjN2Tp8+jYODA4mJiYDmD3nWNpjZJW+3s7Nj0qRJbN++nZs3b2oFl3Irh8zP0dDQUOO9zeuOcra2thpR85yo1Wpu3rxJsWLFlHO7d+/G0dFRKz9Yamoqw4cPR6VSaQSfHjx48NqJ7HUxK1Zgf4UIkSfyDgshhBBCiNehUqkoXrw4U6dO1So7cOAABw4ceK1JIFl5jW/fvq1VduvWLYoVK/aPn/UEBTj4tG7dOq1zenp6mJubY2Nj805mbHTq1IkWLVrg5uaGtbU1T548YcOGDURHRyu7gDk6OmJqasr06dMZOnQoT548ISAggFKlSr1Rn5UrV+bUqVMcP34cc3NzypUr9877APDy8mLPnj2sXbuWCRMmZDuWnTt3cvjwYUqWLIm1tbUSHPLz8yMjI4OEhAT8/f3ztHxv6NChdO/enZEjR9KnTx/Cw8NZtWqVxrI7PT09fHx8mDBhAgkJCTRv3hwTExMePnxIaGgo48aNyzYoUrJkSWbPns3YsWPp06cPffv2pXz58kRHR3Pw4EFUKhWnT5+mSpUqlCpVinnz5mncw6vPs3fv3rRu3Zpq1apRqFAhdu7ciaGhoRJYyq38VU2aNGHt2rV89913tG7dmnPnzvHzzz/n+twAnJyc+OWXX3SWPXv2jPPnzwP/l/Pp+vXrjBs3DoBz585x//59RowYoTMhfPPmzdm9ezdfffWVMiPr4sWLODs752lsOXHxsHzrNoTIb+oMNXr6ecsnJ4QQQggh/ruSkpLYv38/7dq1o127dlrl1tbWhISEcPjwYZ0rfXSxtramZs2a7Ny5k2HDhmFubg7A9evXOX78OJ07d36n95BfCmzwqWHDhu+9D29vb3799VdmzZpFVFQUxYoVw87OjjVr1tCoUSMASpQowaJFi5gzZw5eXl5UqlSJ6dOns3Llyjfqc/z48Xz77beMGjWKFy9e4OvrS7du3d5pH5AZWPL09OSnn35i2LBhmJmZadUZMmQI9+7dY+LEicTFxeHt7c2oUaMICAhgxowZjBkzhjJlyjBixAhOnTrFxYsXc+zT3t6eRYsWMW/ePLy9valWrRoLFixQkmVnad++Pebm5ixbtkyZGWRjY0PTpk21ZqK9qlWrVmzfvp2goCD8/PyIjo7G3NwcZ2dnVq9erdzn4sWLc70HJycndu7cSXh4OPr6+lSvXp1ly5ZRpUqVPJW/yt3dnQkTJrBhwwaCg4NxcnJi+fLltG3bNsd7Amjbti3Lly/nzp07WjPM9u3bx759+wAoUqQIFStWZObMmXz88cdAZqJxExOTbPvp2rUrBw4c4PTp0zRu3JjIyEguXbqUp10Uc5KSkkJiYiImJiZv1Y4QeZGYmMjt27extbV95++cBJ6EEEIIIUReHD58mBcvXmikd3mZo6MjVlZW7Nq1K8/BJ4CvvvqKIUOG0KtXL7p3705SUhIbNmzAzMwMb2/vdzX8fKWnLkALDYcPH/5a9fX09Fi6dOl7Go0Qby4lJYXu3btTv359ndMxdenWrRseHh7v/ZfLxo0bWbNmDfv378/z7oGvunDhAikpKdjb20vwSXwQiYmJ3Lhxg6pVq/4rph2Lf4aEhASuXLlCzZo15b0TH4S8cyI/yHsn8sM/9b0bPnw4J06c4PTp09n+HTRp0iRUKhWbN2/m448/5quvvtKakGFnZ6dM/shy8uRJ/P39uXz5MgYGBjRo0IAvv/wy28kPBcWFCxcANDbJ0qVAzXw6cuQIhQsXpkSJEnlKvvWmfziLf76AgABWr17NuXPn8qX/06dP89lnn7F9+3adP2QLFy7EwsKCr7/+Os9tPn/+nB9//JGhQ4diZGSEj48PO3bsUMpNTEyoUKEC/fr1o0ePHjrbWLNmDb6+vnz88cf88MMPGmUZGRm0b9+e58+f8+WXX771z4+RkZEEnsQHY2JiQq1atUlJyX0HUCGEEEIIId6HZcuW5VrH19cXX18mJVzjAABDbklEQVRfAK5du6azjq7zjRs3pnHjxm83wAKsQAWfSpUqxZMnTyhWrBgdO3akQ4cO2SbLFiI/1apViy1btuiMQp85c4a9e/eyfft2DAzy9iN24MAB4uPjGTJkCI8ePaJixYoAlC9fnnnz5gHw4sULDhw4wOTJkzE1NaVDhw5a7WTtenfgwAG+/fZbjIyMlDJ9fX169erFsmXL8PT0fO171uX04Rjio9PeSVtC5MSsmIHkGBNCCCGEEOIfqkAFn0JDQ/n9998JCQlh6dKlzJ07lwYNGtCpUyfatm0r28KLAqNo0aI4OjrqLKtfvz6HDx9+rfbWrl1Lhw4dtJaeGhsba/TTpEkTzp8/z/79+7WCT7dv3+bSpUu4urpy4sQJjhw5Qps2bTTq9OnTh4CAAI4ePUqrVq1ea4y6xEenERMpwSchhBBCCCGEENnTz+8BvKphw4bMmDGD3377jUWLFmFpacl3332Hq6sr3t7e7N27l5SUlPwepihgUlJSmD9/Pi1atKB27dq0b99eSWb+sq1bt+Lh4UHdunX5/PPPuXDhAnZ2dgQHByt17OzsWLVqlcZ1a9aswc7OTjk+ffo0dnZ2yvpWALVazapVq2jbti21a9emZcuWrFmzJtex379/nzNnzujcLUGXIkWKkJamHfAJCQlBT0+PGTNmUKJECZ33b2Jigru7u8ZyPiGEEEIIIYQQ4n0qUDOfXmZoaEirVq1o1aqVstxo8+bNjBs3Dm9vb0aOHJnfQxQFyJgxYzh79iwjR46kSpUqhIaG8uWXX2Jubo67uzsAv/76K1OmTKFbt254enpy6dIlxowZ887GMHPmTLZt28bw4cOpW7cuZ8+eZd68eRQuXJg+ffpke92pU6cwMDDIdjeErEBTQkIC+/fv5+zZs8yePVurXkhICPXr16d8+fK0b9+eLVu2EB8fr7XTYb169fD39ycjIwN9/QIXfxZCCCGEEEII8S9TYINPWVJSUvjtt984dOgQly9fpnDhwtjY2OT3sEQBcurUKQ4fPsyqVatwc3MDMpenRUREEBAQoASfli5dSv369ZXkb02bNiU5OZklS5a89Rju3bvHhg0bmD59Or169QLA1dWVpKQkAgMD6dWrV7aBngsXLlCpUiWN/ExZbty4Qa1atTTODRw4kM6dO2ucCwsL486dOwwYMACAjh07sn79evbt20f37t016taoUYPnz59z8+ZNqlWr9sb3LIQQQgghhBBC5EWBnPaQkZHBsWPH8PHxwdXVlS+++IKkpCS+++47Tpw4QdeuXfN7iKIAOX78OJaWljRq1Ii0tDTly9XVlStXrpCenk56ejqXLl2idevWGte2bdv2nYzhxIkTALRp00ZrDBERETx69Cjba58+fUqxYsV0llWoUIHt27ezfft2NmzYwNixY1m/fj2LFy/WqBcSEoKhoaGydM/R0ZHy5cvrXHqX1VdERMQb3asQQgghhBBCCPE6CtTMp7NnzxISEsLevXuJiYmhbt26jBs3jvbt22NlZZXfwxMFVHR0NDExMVozhLJERERQqFAh0tLStN6jEiVKvLMxqNVqGjVqpLP80aNH2c7YS0lJ0TnrCaBw4cLUqVNHOW7QoAGRkZEsW7aMTz/9FEtLSzIyMtizZw8NGzZEX1+fuLg4AFq2bMm6det48uQJpUqVUtrI6ispKemN7lUIIYQQQgghhHgdBSr49Mknn2BsbEyzZs3o2LGj8sf6o0ePsp05kl3AQfx3WFhYYGVlxYoVK3SWW1lZUahQIQwMDIiKitIoe/bsmVZ9IyMjUlNTNc5lBXRyGoOenh6bNm3C0NBQq9zW1jbHax88eJBj+y+rXLkyqamp3L17F0tLS06dOkVERAQRERE0aNBAq/6ePXuU5Xgv34ulpWWe+xRCCCGEEEIIId5UgQo+QeZsjP3793PgwIEc66nVavT09Lhy5coHGpkoqFxdXVm5ciWGhobUqFEj23r29vYcOHCA/v37K+f27dunVa906dLcvHlT41zWsrrsNG7cGICYmBg8PDxeY/SZganTp0/nuf6NGzeA/1s+p1KpMDU1ZcmSJVp5pX744QdUKpVG8Ckr0FWpUqXXGqcQQgghhBBCCPEmClTwKSsRtBCvo0mTJrRo0YLBgwczePBg7OzsSExM5O+//+bu3bvMnDkTgOHDh+Pl5cWkSZOU3e5+/vlnrfbatm3L2rVrqVOnDra2tuzatYsnT57kOAZbW1v69u3LV199xaBBg6hbty6pqancuXOH06dP55jU3MnJicDAQB4/fkzp0qU1ypKSkjh//rzy/ZkzZ9i2bRtNmjShQoUKJCcnc+DAAdq0aaMEwF728ccfM3PmTG7dukXlypUBuHjxIlWqVHknS1nNihWoXyHiX0zeNSGEEEIIIf65CtT/zX/00Uf5PQTxD5GUlKSRJ8nf358VK1bw008/8eDBA8zMzKhWrRrdunVT6rRs2ZLp06ezbNkydu/eTd26dVm4cCE9evTQaNvLy4vIyEgCAwPR09OjV69efPbZZ8yaNSvHMU2ePBlbW1u2bNlCYGAgRYoUwdbWVkkCnp2GDRtiaWnJ0aNH6dmzp0bZ/fv3ld3zDA0NsbGxYdCgQQwZMgSAI0eOEB8fn20S/o4dOzJnzhxUKhVjxowB4OjRo+8s0bqLh+U7aUeIvEhPz8jvIQghhBBCCCHegJ5arVbn9yCEeF3e3t48fPiQ4ODgt2onLi6OBg0a4OvrqxGo+tBmzZrF5cuXWbdu3Xvt58aNG3Tp0oV9+/ZRvnz5N27nwoULpKSkYG9vj4mJyTscoRC6JSYmcuPGDapWrYqpqWl+D0f8RyQkJHDlyhVq1qwp7534IOSdE/lB3juRH+S9g19++YVdu3Zx6dIl4uLiqFixIv369ePjjz9GT09Pqbdt2zZWrlzJw4cPsbW1Zdy4cbRo0UIpDwsL46effuLMmTM8ffqUUqVK0bZtW0aMGKHxbDdv3sz+/fu5du0aiYmJVK1alaFDh9KqVau3uo8LFy4AaGyUpYt+jqVCFDBXrlxh7dq1HDly5J3N3ikIBg4cSFhYGFevXn2v/axevZouXbq8VeBJiPygVqu1NgIQQgghhBDin2rNmjWYmJjg4+PD0qVLadasGVOmTCEwMFCps3v3bqZMmUL79u0JCgrC0dERb29vJTULZAax7t69y+DBg1mxYgWff/45W7duZfjw4Rr9LVu2jLJly/Ltt98SEBCAnZ0dI0eOZMeOHR/kfgvUsjvxfgUEBLB48WKdZV988QVDhw79wCN6fV9//TWxsbEMGDCAzZs38+TJE6ZOnQqAj48PFy9eJCQkBIDg4GAmTZrEyZMn30l+I126dOlCzZo1c12Slxtra2t8fX1ZunQparUaf39/4P/uIYuhoSGlS5emffv2eHl56Zx1dPnyZT766CMqVKigkbg/IyODihUrcv36dSZPnsz333//VmM2MjKSWU8CdYYaPX293CsKIYQQQgghFEuXLtX4O7Vx48bExMTw448/4uXlhb6+Pv7+/nTo0IGxY8cC0KhRI65fv05gYCBBQUEADBkyRKMdFxcXzM3NmTBhAhcvXqR27dpA5t+WL9dr0qQJDx48YPXq1R8kBZIEn/5jjI2NWbt2rdb5MmXK5MNoXt/LUdn27dtjbm7+Vu2Zm5tz7dq1tx3WO+Hk5ISPjw8bN27UKlu5ciVmZmakpqZy4cIFFi5cSGxsLDNmzNCqq1KpALh37x5//fUXdevWBUBfX5/hw4dz9+5dOnTowODBg996x7vTh2OIj057qzbEP5dZMQPJ+yWEEEIIIfLVo7vp3LqYyvPY/MsoVNRCj8q1DSlTsVCer9E1QaJmzZps3bqVhIQEoqOjuXPnDl9++aVGHU9PT+bMmUNKSgpGRkY627G3twfg6dOnufZ36dKlPI/5bUjw6T9GX18fR0fHfOk7JSUFAwMD9PXfzWrPrB+of4stW7ZQsWJFJTL9slq1aim/LBo0aMDjx49RqVRawaeMjAz27NmDs7MzFy9eRKVSKcGnLBUrVsTJyYmNGzfyzTffvNWY46PTiImU4JMQQgghhBDiw3t0N51fg5NQ5/O+NM8ewd3r6Xh0M6b0awSgXvXnn39SqlQpihYtyp9//glk7qz+sipVqpCamsr9+/epUqVKtu0Ayo7nOfWXW513RXI+CS12dnYEBQUREBCAq6srLi4uTJo0iYSEBI16T5484auvvsLV1RUHBwfatWunMavKw8ODGTNmEBQURIsWLXBwcCAmJgYfHx86duyo0VZcXBx2dnZKAvHg4GDs7Ox0foWHh2u0n5vHjx8zePBgHB0dadOmDTt37tQoP3LkCAMGDKBx48Y4OTnRo0cPjh49qtXO2bNn6datG3Xq1KFjx46EhoZq1Tl37hzDhw/Hzc0NR0dHunTpotVfdnbu3JnnPFZFihQhLU076PPHH3/w+PFjevfuTfPmzdmzZw/p6ela9dq1a4dKpdLZhhBCCCGEEEL8E9y6mJrvgacs6gy4efHNc5SeOXOGPXv2MHDgQABiY2MBtFb7ZB1nlb8qKiqKgIAAWrZsmeNKF5VKxblz5xg0aNAbj/l1yMyn/yBdAQcDA81XYePGjTg7OzNr1izu3LnDnDlzKF68OBMmTAAgOjqaXr16ATBu3DjKlSvH3bt3uXfvnkY7+/fvp2LFinzzzTfo6+vneSeD5s2bs2XLFo1zP/zwA/fv38fCwiLP9wowYcIEevbsyYABA9i6dSs+Pj7UqVNHiRKHh4fTokULBg4ciL6+PkePHmXo0KGsXbsWFxcXACIiIhg0aBB2dnYsXLiQuLg4pk+fTkJCAjVr1lT6evjwIU5OTvTp0wcjIyPOnj3L5MmTUavVOa6jvXv3Lg8ePMDJyUlneUZGBmlpacqyu23btukMVKlUKkxMTGjVqhXGxsbs27ePEydO0LRpU416Tk5OREdHc+XKlVx3JRBCCCGEEEII8f48fvyYcePG4eLiwmefffbG7aSmpjJ+/HgAvv3222zrXb16lWnTptGtW7e33u0uryT49B+TkJBArVq1tM5v3LiR+vXrK8clS5bEz88PgGbNmnH58mX27dunBJ/WrFlDZGQkv/zyC+XKlQMyE6S9KjU1laCgoNfePtPKykpjTeqqVau4dOkSP/74I2ZmZq/VVt++fenbty8A9erVIzQ0lH379uHl5QXAp59+qtTNyMjAxcWFv//+m61btyrBp7Vr16Knp0dQUJDSf+nSpenfv79GXx06dFC+V6vVNGjQgCdPnrBly5Ycg09Z21Pa2dnpLG/SpInGccOGDTUSkUPmssb9+/fj4eGBqakpzZs3x8zMDJVKpRV8qlq1KoUKFSIsLEyCT0IIIYQQQoh/pMq1Dbl7Pb1AzH7S04cqtQ1f+7q4uDiGDBmCpaUlAQEBSpqarEkX8fHxlCxZUqP+y+VZ1Go1X3/9NWFhYWzatAlra2ud/T148IAhQ4bg4OCQp5VE74oEn/5jjI2N2bBhg9b5V9d5urq6ahxXqVKF3bt3K8cnT56kUaNGSuApOy4uLq8deHrV0aNHmTdvHl9//TUNGzZ87evd3NyU701NTSlbtiyPHz9Wzj1+/JgFCxZw4sQJIiIiUKszE9W9HKT766+/cHFx0Qh8NW7cGEtLS42+YmNjCQgI4NChQzx58kRZ8vZqvVdFRESgr69PsWLFdJavWbOGokWLkp6ezt9//42/vz/e3t6sWrVK+eV09OhRYmNjlSWNRkZGtG7dmr1795KUlISxsbHSnoGBAWZmZhoJ6IQQQgghhBDin6RMxUJ4dDPmZgFIOF6ltuFr53tKSkpi2LBhxMfHs2XLFo2/N7P+Rr9165bG3+u3bt3C0NCQ8uXLa7Q1e/ZsfvnlF4KCgqhRo4bO/qKiohg0aBDFixdn8eLFGBq+frDsTUnw6T9GX18/TzNdXl1XamhoSEpKinIcExNDtWrVcm2nePHirz/Il9y+fZsvvviCrl270q9fvzdq49WZUi/fS0ZGBiNGjCA+Pp7Ro0dTsWJFTExM8Pf359GjR8o1ERERVKxYUavtV3cM8PHx4dy5c4wcOZKqVatStGhRfvrpJ3755Zccx5icnIyBgQF6erq3rLezs1P6cnR0xNzcnFGjRhEaGkqLFi2AzCV3ZmZmODo6KtHwFi1aEBwczOHDh/H09NRo08jIiOTk5BzHJYQQQgghhBAFWemKhd4qyXd+SUtLY+zYsdy6dYuNGzdSqlQpjfLy5ctTqVIl9u7dq7E0bs+ePTRu3BgjIyPl3IoVK1izZg3z5s3TuSIJ4MWLFwwZMoTU1FTWrVtH0aJF38+NZUOCT+KNWFpa5mnWjK5gipGREampmonYdCVLi4+Px8vLi0qVKjF9+vQ3H2wO7t69y+XLlwkMDNT4gU5KStKoV7JkSSIjI7Wuj4qKUr5PTk7myJEj+Pj4aATKNm3alOs4LCwsSElJITk5mcKFC+daPytf1Y0bN2jRogXPnz/nyJEjJCUl6fxls2vXLq3gU3x8fK4zsoQQQgghhBBCvHvTp0/n119/xcfHh+fPn3P+/HmlzN7eHiMjI0aNGsWECROoUKECLi4u7Nmzh7CwMI3VTCqVCj8/Pzp37ky5cuU02qlQoYIyiWHUqFFcvXqVmTNn8vDhQx4+fKjUc3R0fN+3K8En8WYaN27M6tWrefjwIWXLln2ta0uXLs3jx4958eIFRYoUAeD48eMadTIyMvjiiy+Ij49nzZo1GlHddylr5s/L0w0fPHjAuXPnNHYGcHBw4KeffiI+Pl6ZSXXy5EliYmKUOikpKWRkZGi09fz5cw4fPpzrOLK2zwwPD892u8yXXb9+HUBZpnfw4EGSkpKYPn261lacO3bsICQkhJiYGCXYFBUVRWJiolZdIYQQQgghhBDvX9bfwLNmzdIqO3ToEOXKlaNjx44kJiYSFBTEihUrsLW1ZfHixdSrV0+rnV27drFr1y6Ndnx9fenWrZtGvYkTJ2r1d+3atXdzUzmQ4NN/TEZGhkYkNEvx4sW11ozmpH///vz88898+umnjBgxgvLly3P//n3u3LnDl19+meO1bdq0wd/fn6+//pqePXty48YNtm/frlEnKCiI0NBQJk6cyKNHjzSWwGVFgd+FypUrU7p0afz8/MjIyCAhIQF/f3+t5Gyff/45mzZtYsiQIQwZMoS4uDgCAgI0Zg6ZmZlRp04dgoKCsLKywsDAgBUrVlC0aFGNGVK6ODg4YGBgwMWLF3UGny5duoSZmRlpaWncunULf39/SpQoQevWrYHMaLeNjQ29evXSmm1mYWHBjh072Lt3L7179wb+L8G5s7Pzaz+zl5kVk18h/2Xy+QshhBBCCPFm8jJJAaBHjx706NEj2/JZs2bpDGC96kMEmHIifzn8xyQlJdGrVy+t8927d2fmzJl5bqdYsWL89NNP+Pn5MW/ePBITE7GxseGTTz7J9dqqVasya9YslixZgpeXF87OzsybN48uXboodW7fvg1kJk17VVYU+F0wMjIiICCAGTNmMGbMGMqUKcOIESM4deoUFy9eVOpZW1sTFBTE999/z5gxY6hQoQJTp05lwYIFGu35+fkxdepUfHx8sLS0pF+/fiQkJLB69eocx2FqakrTpk05evSoxnPIMnjwYCAzZ1epUqVo1KgRY8aMwdLSksjISE6ePMnQoUN1LnOsUaMGNWvWRKVSKcGnY8eOUb9+fUqUKPHaz+xlLh6Wb3W9+OdTZ6jR09edq0wIIYQQQgghAPTUWVt7CSHy1eHDh/niiy84ceIEJiYm762ftLQ0mjdvzoQJE+jatesbtXHhwgVSUlKwt7d/r2MVIktCQgJXrlyhZs2ab72DphB5Je+d+NDknRP5Qd47kR/kvfv3yFpVk9vGZvofYjBCfCj+/v60adNGZwLzgq5FixbY2tqybdu299pPSEgIRYoUoWPHju+1HyGEEEIIIYQQAiT4JHQICAjAzs5O+apTpw7t27cnKCiIjIyM126vX79+DBs27D2MVFNW1v8lS5ZgYWHx3vqxs7Nj1apVyvG7uj89PT2SkpL466+/lHM+Pj4an4WjoyOdO3fOMUC1Zs0a7Ozs+Prrr7XKMjIymDt3Lp6enhgYvN2qWyMjI5n1JFBnyORZIYQQQgghRM4k55PQydjYmLVr1wKZeaJOnz6Nn58farWaoUOHvlZb06ZNQ1///cY5ExMTmThxIj/88ANVq1Z9r3296l3d34EDB4iOjtbKvVW+fHnmzZsHwIsXLzhw4ACTJ0/G1NSUDh06aLWTtcPBgQMH+PbbbzWSs+vr6zN+/HiWLVvGyJEj3zoAdfpwDPHRaW/VhvjnMitmIHm/hBBCCCGEELmS4JPQSV9fH0dHR+W4UaNGXL9+nf3797928OlDBINMTEz45Zdf3ns/uryr+1u7di0dOnTA2NhY47yxsbHGZ9GkSRPOnz/P/v37tYJPt2/f5tKlS7i6unLixAmOHDlCmzZtNOp4enry/fffc+TIEVq1avVWY46PTiMmUoJPQgghhBBCCCGyJ8vuRJ4VKVKEtDTNQMO8efPo1KkT9erVo2nTpowfP56nT59q1Hl1WdrNmzcZN24c7u7u1K1bF09PT1avXq2xpC88PBw7Ozt+/vlnZsyYQYMGDXBzc2P27NlaY/jjjz/o3bs3Dg4OuLi4MGnSJGJiYrTa2rFjB19//TXOzs40bNgQX19frbauXbvGoEGDcHR0xNnZmdGjR/Pw4cMcn8ur9/f48WPGjBmDq6srderUwcPDgx9++CHHNu7fv8+ZM2do165djvWy6PosIDOfk56eHjNmzKBEiRKoVCqtOiYmJri7u7Njx4489SWEEEIIIYQQQrwNmfkkspUV3Mhadrd//36t3EaRkZEMGzYMa2troqKi+PHHH+nXrx+7d+/OdknX06dPsbW1pVOnThQpUoQrV64QEBBAQkIC3t7eGnUXLlxIy5YtWbhwIefOnSMgIIAKFSrQp08fAC5evMiAAQNwcXFh0aJFPHv2DD8/P/7++282b95MoUKFlLbmz5+Pm5sbCxcu5PLly/j7+2NoaMiECRMAePToEZ9++inly5dn7ty5JCcns2DBAj799FN27dpF0aJF8/TcvvrqK54+fcrkyZMpXrw4jx494uLFizlec+rUKQwMDHBwcNBZnvVZJCQksH//fs6ePcvs2bO16oWEhFC/fn3Kly9P+/bt2bJlC/Hx8ZiZmWnUq1evHv7+/mRkZLz3JZFCCCGEEEIIIf7bJPgkdEpISKBWrVoa5zw9PbWW3Pn6+irfp6enU69ePZo1a8apU6dwc3PT2Xbjxo1p3LgxAGq1GmdnZ5KSktiwYYNW8MnBwYHJkycDmcvNTp8+zb59+5Tg07JlyyhZsiTLli3D0NAQgDJlyjBo0CBCQ0Px8PBQ2qpQoYIy3qZNm5KUlMSPP/7IkCFDsLCwYM2aNaSlpbF69WosLS0BqFmzJh06dGDHjh3069cvT8/uwoULjB8/Hk9PT+Vc165dc72mUqVKGvmZsty4cUPrsxg4cCCdO3fWOBcWFsadO3cYMGAAAB07dmT9+vXs27eP7t27a9StUaMGz58/5+bNm1SrVi1P9yWEEEIIIYQQQrwJCT4JnYyNjdmwYQMAKSkpXLp0CX9/fyZPnqwRcAoNDWXp0qXcuHGD58+fK+fv3LmTbfApOTmZ5cuXo1KpePToEampqUrZixcvKFKkiHL8ahtVqlTh1KlTyvGZM2fo2LGjEnjKusbc3Jw///xTI/jUunVrjbbatm3LkiVLuH79Og0aNODMmTO4uLgogaes/mrUqMGff/6Z5+CTvb09q1evplChQjRp0oSKFSvmes3Tp08pVqyYzrIKFSowf/58IHMW2pkzZwgMDKRIkSIawbqQkBAMDQ2VpXuOjo6UL18elUqlFXzK6isiIkKCT0IIIYQQQggh3isJPgmd9PX1qVOnjnLs7OxMeno6s2bNYsCAAVSvXp2wsDC8vLxo2bIlQ4YMoXjx4ujp6dGzZ0+Sk5OzbXvu3Lls27aNkSNHUrt2bczMzDh06BBLly4lOTlZI/j06nIxQ0NDUlJSlOO4uDiKFy+u1Ufx4sWJjY3VOGdlZaVxXKJECSAzAJPVVs2aNfPUVk4WLFjAggULWLhwIdOnT8fW1pbx48drJf5+WUpKis5ZTwCFCxfW+CwaNGhAZGQky5Yt49NPP8XS0pKMjAz27NlDw4YN0dfXJy4uDoCWLVuybt06njx5QqlSpZQ2svpKSkrK830JIYQQQgghhBBvQoJPIs8qV64MwN9//0316tU5ePAgRYsWZeHChUreoAcPHuTazt69e+nVq5fGEr7Q0NA3GpOFhQWRkZFa5yMjI7GwsNA4FxUVpXH87NkzAEqWLJlrW5UqVcrzmKytrfH19SUjI4OLFy+ydOlSxo0bx969eylfvny295GXZ5elcuXKpKamcvfuXSwtLTl16hQRERFERETQoEEDrfp79uxRluMBSnDq5VleQgghhBBCCCHE+yCZhkWe3bhxA/i/JVtJSUkYGhqip6en1NG1u9qrkpOTNZbJpaens3v37jcak7OzM4cOHdLY+e348ePExcXh7OysUffAgQMax/v27cPExITq1asrbZ06dUpjltOtW7e4du2aVlt5oa+vj4ODA2PHjiUtLY27d+9mW9fW1pbw8PA8t/3qZ6FSqTA1NWXNmjWsW7dO46tGjRpan0tWoOt1gmpCCCGEEEIIIcSbkJlPQqeMjAzOnz8PQGpqKpcuXWLp0qVUrVqV+vXrA5kJwNeuXct3331H69atOXfuHD///HOubbu6urJt2zaqVq1KsWLF2LRpk8ZSutcxfPhwevfuzbBhw+jXr5+y252DgwPu7u4ade/du8ekSZPw9PTk8uXLrFixgs8//1yZIdW/f3+Cg4MZOHAgI0aMIDk5mYULF1KmTBk++uijPI0nPj6eQYMG0aVLF2xtbUlNTWX9+vWYm5tjb2+f7XVOTk4EBgby+PFjSpcurVGWlJSkfBZZOZ+2bdtGkyZNqFChAsnJ/6+9O4+O+d7/OP7MioiUxB5CBHGL2CKWqlhSsdQS+xJKELW35LZpq9y2XMt126tEExFqa5Xa3Z+lW1Atra2kGkcRraUpISIkss3vD2fmGkkkRDIVr8c5zpHvfPL9vmfyPp+ZeX8/yx2++OILOnXqZFrI/V59+vRh1qxZnD171jR6LSYmBg8Pj2xTER9WmXLqQp5m+vuLiIiIiEh+6JuD5Cg1NZUBAwYAYGtrS+XKlenRowcTJkwwjVry9fUlJCSE1atXs3HjRpo2bUpERAT+/v4PPPfbb7/NjBkzeO+99yhVqhQBAQG88MILpl3tHkaDBg1YtmwZ77//PhMnTsTBwYEOHTrw+uuvY2NjY9b21Vdf5YcffmDy5MnY2NgwePBgXn31VdPjVapUYdWqVcybN4+QkBCsra157rnnCA0NxdHRMV/xlChRgrp167Jq1SouX75MyZIladCgAVFRUQ8s9Pj4+FC2bFn27t1L//79zR77/fffTX8LOzs7XF1dGTlyJKNHjwYgOjqamzdv5rqj3osvvsi8efPYtm0bkydPBmDv3r15/p3yo0WHsgU+hzzZDFkGrKyt8m4oIiIiIiJPLSuDwWCwdBAihenChQt07NiRBQsWmHaC+yuaM2cOJ0+eZOXKlYV6ndOnT9OzZ0927dqV6xpUeTly5AgGgyHbtEuRwmIwGEhPT1fOSZFS3klRU86JJSjvxBKUd8VHWloaVlZWNG3a9IHttOaTyF9EUFAQx48fJzY2tlCvs2zZMnr27PnIhScAKysr0z+RomBlZYW9vb1yToqU8k6KmnJOLEF5J5agvCs+8vu9UNPuRP4ijLvk3b8r3+OUlZVFjRo1cp2il19NmjR5PAGJiIiIiIhIsadpdyIiIiIiIiIiUmg07U5ERERERERERAqNik8iIiIiIiIiIlJoVHwSEREREREREZFCo+KTiIiIiIiIiIgUGhWfRERERERERESk0Kj4JCIiIiIiIiIihUbFJxERERERERERKTQqPomIiIiIiIiISKFR8UlERERERERERAqNik8iIiIiIiIiIlJoVHwSEREREREREZFCo+KTiIg8MTIzMwEwGAwWjkREpPBlZWVZOgQRkUKlfu7poeKTiDy09PR04uPjiYuLIz093XRcBQEpTDdv3sTf35+YmBisrKwsHY6ISKFJSUkhIyMDa2t9VBeR4kn93NNHf2kReSjJyckMHz6c4cOH07lzZ4KDg4mKigJQQUAKTXJyMn379qVcuXJUrFjR0uHIUyI1NZVvvvmGtWvXcvLkSf78809AhXYpXMnJybRq1Yr333/f0qHIU0J9nRQ19XNPJ1tLByAiT460tDSGDx+Oo6Mjr7zyCjY2NmzdupWIiAhiYmL497//rbsX8tglJyfTo0cP3NzcmDNnjopPUiSSk5MZNGgQKSkpXL9+HVtbW2rUqMGUKVNo2bKlpcOTYio5OZlevXrRpEkThg4daulw5Cmgvk6Kmvq5p5e+JYpIvsXGxnLjxg0mT56Mv78/fn5+vP3224SEhLBv3z7Gjh1LRkYGoLtl8nikpKTQv39/SpcuzX/+8x8qV64MwMWLF4mNjeXo0aOmO7Qij0tmZiZvvfUW5cqVIywsjB9//NH0c1BQEFu3brV0iFIM3bp1i4CAAGrWrMk///lPU393P72/yuOivk6Kmvq5p5tGPonIQ7l69SopKSnA3QUCK1SoQM+ePSlbtixvvfUWU6dOZcGCBZqCJ4/FqVOnOHfuHN7e3vzyyy+0atWKr7/+mtmzZ3PlyhVSU1Px9PQkICCA4cOHWzpcKSZSU1M5f/48nTt3xtPTE4AePXrQsGFDKlSoQGhoKFlZWfTq1QuDwaD+TgosLS2NQYMGkZSUREhICFWqVAHgxIkTxMbGcvbsWZo1a4anpyfVq1dX3sljob5OipL6OVHxSUTyzcnJCTs7O44cOULr1q0xGAwYDAZKlCiBr68voaGhzJ49m8WLFzNu3DhLhyvFQOPGjQkPD2f69OmsXLmSw4cPEx4ezsCBA/Hx8aFkyZIsW7aM5cuXY2Njo+Hb8lgYDAasra25efMmABkZGdja2uLu7s7EiROxtrbmjTfeoGLFirRu3drC0UpxYG9vj6enJ9euXWPbtm3Uq1ePPXv2EBISQokSJUhJSeHTTz/l2Wef5c0336RBgwaWDlmKAfV1UpTUz4mVQWPaROQhLFq0iPDwcJYvX07z5s3JzMzE2toaKysrrl27xrx584iLiyMyMpIyZcpYOlx5gt17xys6Opq33nqL27dvM3r0aEaOHEmJEiUAOHPmDNOnTyc9PZ2oqCjlnTwWr732GocOHeLzzz/H2dmZ9PR07OzsADh//jxz587l4sWLLF68GFdXVwtHK0+yrKws03qJ06dPJzo6Gi8vL/bv38+IESPo3LkzdevWZc2aNaxbtw4nJyfmzZtnGjUgUhDq66QoqJ8T0JpPIvKQevfuTcuWLXn55Zc5fvw4NjY2ZGVlkZWVhbOzM3369OHYsWP89ttvlg5VnnBWVlamOf/t2rVjzpw5eHt70759e1PhKSMjAw8PDwIDAzl+/DiXLl2yZMhSDGRlZQHw6quvYjAYmDp1KgB2dnakp6cDUKNGDXr27MmVK1e4cOGCxWKV4sHa2prMzEwA3n33Xdq1a0d0dDRDhgxh1KhR1K1bF4AhQ4bQu3dvTpw4ofdYKTD1dVKU1M8JqPgkIg+patWqvPzyy3h6ehIUFMShQ4ewsbEx3c2wsbHB1dXVVBwQKYh7C1DPP/88M2fO5G9/+xtwd2SUre3d2eMJCQmUL1+ecuXKWSxWKR6MfVmFChWYPHkyx48fZ/z48YD5lzJ/f39sbGz44YcfLBarFB82NjZmX8wmTJiAj48PDg4OAKa8Gzx4MGlpacTExFgsVike1NdJUVM/Jyo+iUg2xrth98/KNf7s7e3NlClT8PLyYvjw4URFRXHy5Eni4uLYtGkT1tbWKgLIQ8st7+5dbLJSpUrA3Q8oxuPXrl3jhx9+wN3d3fQBRqSgbG1t8fPzY+LEiRw4cICRI0eSnJxsmo4SHx9PuXLlNCVAHpt7v5i9/PLLtG3bFrjbNxrz7siRIzg7O1OnTh2LxSlPJuN76/3vserrpLDklHPq555uWnBcREyM87FTU1NxcHAwfbk3rr1jHIViZWWFt7c3//jHP1i/fj0ffvgh4eHhlC1blvT0dD766CNcXFws/GzkSZFX3uXE+AHl0KFDbNiwgf379/Ppp5/i6OhYZHFL8ZCZmYmNjU2Ojzk6OtK3b1/KlCnDggUL6NOnD/3798fJyYmjR48SHx+Pj49PEUcsxUFueXf/MeMC0HC30L5582YcHR1NO5OJ5Fd6ejr29vZmn+WM1NdJYcgt59TPPb204LiIAJCcnMx7773H77//DkCbNm3o06ePaaTJvQsF3v+h5dSpU8THx2MwGKhXr57pd0Ty8jB5d7/t27cTGRlJSkoKH374IfXq1SuyuOXJdvv2bb766iu6d+8OPDjP4O4H6IsXLzJ//nx+/fVX0tLSqFy5MtOnT1feSb49bN7da8uWLURHR/Ptt9+yatUq5Z3ky+3bt1m+fDmnTp0iIyOD9u3b069fPyDnGzzq66SgHjbn7qV+rvhT8UlESElJoW/fvri4uODp6UlGRgbr16+nfv36vPTSS3Tt2hX43wdl4x3bvN5ERB7kUfPO6Oeff+bXX3+lWbNmVKtWzVJPQ54wKSkpDBo0iNjYWF577TWCgoKA3AsB9/dzV65cwdramhIlSmikneTbw+bdvQ4fPkxkZCRXrlxh9uzZpoV5RR7k1q1bDBgwAAcHB5555hlSUlI4dOgQU6ZMITg4OFt79XVSUA+bc/dSP/d0UPFJRNi8eTNhYWFERkZSs2ZNAM6dO8crr7xCVlYWAwcOZMiQIYD5B+X9+/fz3HPPWSpsecI9at59++23tGnTJttxkbxkZGQwa9Ysdu3aRY0aNbh06RKBgYGMHj0ayJ5P9xc8lW/yKAqadzdv3uSPP/7AxcUFZ2fnIo9fnjxpaWlMmjSJtLQ0ZsyYQY0aNbh69Srh4eFs3bqVFStWmDbvAPV1UnAFzTn1c08H9Soiwp9//klmZqapAJCWloa7uztLlizBxcWFtWvXsnXrVuB/u6PMnTuXkSNHsnHjRkuFLU+4R827UaNGsWHDBrPjIvnx+++/8/3339O2bVumT59OixYtWLVqFZGRkcDdfDIufA//W5di/vz5xMXFKd/kkRQk786ePUuZMmWoU6eOvpBJvh04cIA///yTgQMHUr16dQDKly9Pp06duHPnDpcuXTJrr75OCqogOad+7umhnkVE8PT0JD4+ngMHDgBgb29PRkYGlSpVYu7cudjZ2bFy5UrTujxwd8c7b29vmjRpYqmw5QlXkLxr2rSppcKWJ1iVKlUYOXIkoaGh/O1vf2P06NE0b948WyHAuBMPwP/93/+xdOlSZsyYQUZGRradokTyUpC8e+edd5R38tCqVauGo6MjrVu3Nitu+vj4UKVKFY4fPw6gvk4em4LknPq5p4em3YkIiYmJBAcHU6VKFaZOnYqbmxvwv90nfvvtN7p3786wYcOYOnWq6fdSU1MpWbKkpcKWJ5zyTizBuK6JMc/OnDnD4sWL+fHHHxk6dGiOU6GWLFnCCy+8gLu7uyVDlyeY8k6KWkpKCqVKlco2ha537940bdqUadOmZfudiIgIOnXqpJyTR6Kck7xo5JOIULZsWaZNm8a+fftYu3Yt8fHxANja2pKWloabmxujRo0iOjqaa9eume5aqAAgBaG8E0swLqhr3NbZw8ODcePGmUaiLF26FIDLly+zevVqkpKSCA4O1gdjKRDlnRS1UqVKAf+bnm58Dy1dujSpqammdsnJyXz55ZcAjBkzRjknj0w5J3mxtXQAIvLX4OXlRVhYGCNGjMDa2poBAwZQvXp17O3tgbsfmDMzMyldurTZAoEiBaG8k78CDw8Pxo4di5WVFStXriQpKYm4uDh2796Nn58fTk5Olg5RiiHlnRQl43tomTJluH79OnB3kefZs2ezceNG9u7dS8WKFS0ZohQzyjm5n4pPImLSqlUrli1bxvjx4/njjz8YOHAg3t7eJCQk8Ntvv1G5cmUyMjIoUaKEpUOVYkR5J5aWlZVF7dq1GTt2LKmpqSxZsoRnnnmGjRs3UrlyZUuHJ8WU8k4swd7enqSkJFJTU5k3bx47d+7k888/VxFACo1yToxUfBIRM61bt+bjjz/mnXfeYdSoUdSsWRMrKysuXbrEihUrKF26tKVDlGJIeSeWZJwi4OTkxK1btyhTpgxr1qyhdu3aFo5MijPlnRQl4zo8pUqV4tq1a/zzn/9k69atfPrppzz77LOWDk+KIeWc3E8LjotIjq5evcqBAwc4cuQIVatWxc/Pj5o1a1o6LCnmlHdiKSkpKUybNo3//ve/bN68mXr16lk6JHkKKO+kqH3wwQdERETg6OjIihUrqF+/vqVDkmJOOSdGKj6JiIiIAN9++y0VKlTA09PT0qHIU0R5J0Xp5MmTjBo1ilWrVuHh4WHpcOQpoJwTIxWfREREREREnhKpqanaOVaKlHJOQMUnEREREREREREpRNaWDkBERERERERERIovFZ9ERERERERERKTQqPgkIiIiIiIiIiKFRsUnEREREREREREpNCo+iYiIiIiIiIhIobG1dAAiIiIiIiIiIvL4nD9/nqioKH766SdOnz5NrVq12L59+yOfLzo6mvDwcGJjY7Gzs6NevXr861//onLlyvn6fY18EhEREZGHNnToUIYOHVoo5965cyfe3t4MHDiQuLg43n77bT7++ONCudbD2rhxI56enly4cMHSoRSqrKwsXnzxRT766COLXH/v3r00adKEa9euWeT6IiJPutOnT7Nnzx5q1KiBh4dHgc61ZcsWJkyYgI+PD+Hh4cyZM4cGDRpw586dfJ9DI59EREREiomNGzfyxhtv5Pr4Z599RuPGjYsuoEe0dOlS+vfvz4ULF+jSpQtOTk5s2LDB0mEVqqtXrxIVFcU333zD5cuXsbKyolatWvj5+REYGIiTk5OprcFgYMuWLaxfv55Tp06Rnp6Om5sb/v7+BAUF4eDgUOB4tm/fzuXLlwkMDDQdO3LkCPv37+ell14yi6cwtG3bFjc3NyIiIh6Y0yIikrMOHTrg5+cHQGhoKDExMY90nsTERN59913efPNNBg8ebDresWPHhzqPik8iIiIixcykSZOoVq1atuNubm6P7RpRUVGP7Vz3W7BgAZUqVcLW1pZr165RunRpSpQoUWjXs7Tjx48THBzM7du36dGjB/Xr1wcgJiaGyMhIDh06xLJlywDIzMxk6tSp7NixA29vbyZMmECpUqU4dOgQYWFh7Nq1i+XLl1O+fPkCxRQVFUW3bt0oU6aM6djRo0dZtGgRAQEBhV58AhgwYADz5s1j4sSJODo6Fvr1RESKE2vrvCe6GQwGli1bxrp167h48SKVKlVi6NChDB8+3NRmx44dZGVl0bdv3wLFo+KTiIiISDHTtm1bGjZsWKjXsLe3L7Rzu7q6mv7v7OxcaNf5K0hKSmLChAnY2NiwadOmbFMjXn31VdatW2f6eenSpezYsYOgoCBef/110/EBAwbQpUsXxo8fT2hoKEuXLn3kmE6ePElsbCyhoaGPfI7Hwd/fn5kzZ7Jz584Cf+kREZHsZs2axfr163n55Zdp1KgRR44cYf78+ZQoUYJBgwYB8NNPP+Hu7s7mzZv56KOPiI+Pp06dOkyZMgVfX998X0trPomIiIg8ZS5cuICnpydRUVGsWbOGjh070qhRI4KCgrh8+TIGg4GwsDDatm2Ll5cXY8eOJTEx0ewcOa35tGrVKrp160ajRo1o3rw5vXv3Ztu2babHk5OTmTVrFh06dKBBgwa0atWKESNG8PPPP5udZ8eOHfTu3RsvLy9atGhBSEgI8fHx2Z7HmTNnmDRpEj4+PjRs2JDevXvz1VdfmbVJT09n0aJFdOrUiYYNG9KiRQsGDRrE/v3783ydTp8+zbBhw/Dy8qJt27YsXryYrKysHNvu2bOHwYMH07hxY5o0aUJwcDCnT5/O8xpr164lPj6e0NDQHNfkKF++POPGjQMgNTWVqKgoatasydSpU7O17dChA7169WLfvn0cO3Ysz2vn5ssvv8TOzg5vb2/TsYULFzJv3jzg7lQLT09Ps7WvMjIyCAsLw8/PjwYNGtChQwfef/990tLSssU4ZswYDh06RN++fWnYsCEdO3Zk8+bN2eJwcXHB09Mz299UREQK7rfffmP16tW8+eabjB07ltatWzNhwgSGDx9OWFiY6f3uypUrnDt3jgULFjB58mQiIyNxdXVl3Lhx+XqfM9LIJxEREZFiJjk5OdtCzVZWVpQrV87s2LZt20hPT2fo0KEkJiaydOlSXnnlFVq2bMnBgwcZPXo058+fZ/Xq1cydO5fZs2fnes1169Yxc+ZM/P39GTZsGHfu3OHUqVP89NNPdO/eHYAZM2awa9cuAgMD8fDwIDExkcOHD3PmzBnTVDPjulUNGzZkypQpJCQksHLlSo4cOcLmzZtN071Onz7NoEGDqFSpEqNHj8bBwYEdO3Ywfvx4Fi5cyAsvvADAokWLiIiIoF+/fnh5eZGcnExMTAw///wzzz33XK7P58qVKwwbNozMzEyCg4MpVaoU69aty3H63+bNmwkNDaVNmzaEhISQkpLCp59+yuDBg9m0aVOOUyCNvv76a0qWLIm/v3+ubYwOHz7MjRs3GDZsGLa2OX+M79WrFxs3buSbb7555PW9jh49St26dbGzszMde+GFF4iLi2P79u288cYbplwyjkybNm0amzZtwt/fnxEjRnD8+HEiIiI4c+YMYWFhZuc/f/48kydPpm/fvgQEBLBhwwZCQ0OpX78+derUMWtbv359vvzyy0d6HiIikrvvvvsOgE6dOpGRkWE63rp1ayIjI7l8+TKurq4YDAZu377N/PnzTes8+fj44O/vT2RkpOnGRF5UfBIREREpZu5dq8HI3t6eEydOmB2Lj49n9+7dpnV9srKyiIiIIDU1lQ0bNpgKHNevX2fbtm288847uU63i46Opk6dOnz44Ye5xrVnzx769+9vNp1r9OjRpv+np6czf/586taty5o1a0yFnmbNmjFmzBg+/vhjJk2aBNydKlClShU2bNhgimnw4MEMGjSI+fPnm4pP0dHR+Pr68t577z3wNbtfZGQk165dY/369Xh5eQEQEBBAp06dzNrdunWLWbNm0a9fP7NrBAQE0LlzZyIiIh547bNnz1KzZs18TWP89ddfAahXr16ubYyPnT17Ns/zPSimRo0aZTvvs88+y/bt2/Hz8zMrqMXGxrJp0yb69evHzJkzARgyZAjOzs4sW7aMAwcO0LJlS1P7c+fOsWbNGtPIqi5duuDr68vGjRvNphICVK9enevXr5OQkICLi8sjPycRETF3/fp1DAaDWf98L2PxyXjT5952dnZ2NG/eXCOfRERERJ5m06dPx93d3exYTguPdu7c2WxBaWORpUePHmYja7y8vNi+fTvx8fFUr149x2s6OTnxxx9/cPz4cdN5cmrz008/ER8fT6VKlbI9HhMTQ0JCAhMmTDAbYdSuXTtq1apFdHQ0kyZNIjExkQMHDjBp0iSSk5PNztGmTRsWLlxouoaTkxOnT58mLi6OmjVr5hhXTvbs2UPjxo3NnouzszPdu3fnk08+MR377rvvSEpKolu3bmajzaytrWnUqBEHDx584HWSk5MpXbp0vmK6desWwAPbGx8zvi5bt25lzZo12NracuPGDYYPH57n+kmJiYkPtaD4nj17ABgxYoTZ8aCgIJYtW8aePXvMvrTUrl3bbEqfs7Mz7u7u/P7779nObYzj+vXrKj6JiDxGzzzzDFZWVnzyySdmI12NjJ8jateunes57ty5k+/rqfgkIiIiUsx4eXnla8HxKlWqmP1sLETldvzGjRu5Fp9Gjx7Nd999R79+/ahRowbPPfccL774Is2aNTO1CQkJITQ0lHbt2lG/fn18fX3p1auX6ZyXLl0CyFY4A6hVqxaHDx8G7q5TYTAYWLBgAQsWLMgxnoSEBCpVqsSkSZMYN24c/v7+1K1blzZt2tCzZ88Hjh4yxnL/6J+cYouLiwPgpZdeyvE8ee3S5ujoaCoq5cVYWHpQ+/sLVE2aNKFLly7Y2dnxyy+/EBAQQMuWLR84FRDu7oCUXxcvXsTa2jrbbooVKlTAycmJixcvmh2/P7/g7pegGzdu5BqHlZVVvuMREZG8tWrVCrh7w6FDhw65tmvfvj0LFy7k+++/x8/PD4C0tDR+/PFHsxsJeVHxSUREROQpZWNjk+Px3LZnflBBwsPDg507dxIdHc2+ffvYvXs3n3zyCePHjzdNlevatSve3t588cUX7N+/n6ioKCIjI1m4cOFD7ZhjXAQ1KCiI559/Psc2xkJI8+bN+eKLL/jqq6/Yv38/n3/+OStWrOCdd96hX79++b5mboyvybx586hQoUK2x3N7jY1q1arFL7/8QlpaWp5T74wLksfGxpq+ANzv1KlTZm3vLxZaWVnlWcgpW7YsSUlJD2yTk/wWiPJ6Te5ljOP+9cpEROTBUlJSTCNTL168SHJyMjt37gTurtnk7u7OkCFDeO211xg5ciSNGjUiPT2duLg4Dh48yOLFi4G7a+/5+/vz9ttvk5iYSIUKFfjkk0+4evUqI0eOzHc8Kj6JiIiIyGPh4OBA165d6dq1K2lpaUycOJHw8HDGjBljmkZXsWJFhgwZwpAhQ0hISCAgIIDw8HB8fX2pWrUqcHdNIOMdWaNz586ZHjcWVOzs7GjdunWecZUtW5Y+ffrQp08fbt26RWBgIAsXLnxg8alq1aqcP38+2/Fz586Z/WyMxcXFJV+x3K99+/YcPXqU3bt38+KLLz6wbbNmzXBycmL79u2MHTs2xyKOcde49u3bmx1PTk7m9ddf56WXXsLV1fWB16lVq5ZpF7t75VZccnV1JSsri/Pnz5vt2Hf16lWSkpLyvN6DXLhwgXLlypkWNhcRkfxJSEhg8uTJZseMP69cuZIWLVowbdo03N3d+eyzzwgLC6N06dK4u7vTuXNns9+bM2cO77//Pv/+979JTk6mfv36LF++HE9Pz3zHk/NtLRERERGRh3D9+nWzn+3t7fHw8MBgMJCenk5mZiY3b940a+Pi4kLFihVJS0sDoEGDBri4uLB27VrTMbi7ptCZM2do166d6fd8fHz47LPP+PPPP7PFcu/aS/fHVbp0adzc3MzOnxNfX1+OHTvG8ePHzc67bds2s3bPP/88jo6OREREkJ6e/sBYcjJw4EAqVKjAnDlzshW24O6XB+Pd51KlShEUFMS5c+f44IMPsrWNjo5m06ZNtGnTxmynuzt37jBx4kTc3Nz4+9///sB4ABo3bszp06ezvUalSpUCyPZ3NI5aW7Fihdnx5cuXmz3+KH7++edH3rVPRORpVq1aNU6dOpXjvxYtWgB3byoEBgaybds2YmJiOHjwIGvXrs22cYmDgwPTpk3j+++/58SJE6xdu9ZsWn1+aOSTiIiISDGzd+/eHHc7a9q0aa5rNhXUyJEjKV++PE2bNsXFxYWzZ8+yevVqfH19cXR0JCkpCV9fX/z9/alXrx4ODg589913nDhxwrT7nZ2dHSEhIbzxxhsEBgbSrVs3EhISWLlyJa6urmYfhmfMmMHgwYPp3r07/fv3p3r16ly9epVjx47xxx9/sHXrVgC6deuGj48P9evXp2zZspw4cYJdu3YRGBj4wOczatQotmzZwqhRoxg2bBilSpVi3bp1VK1a1TS1De6u2fSPf/yD1157jd69e9O1a1ecnZ25dOkSe/bsoWnTpkyfPj3X6zzzzDOEhYURHBxMr1696NGjB/Xr1wfg5MmTbN++nSZNmpjaBwcH88svvxAZGcmxY8fo1KkTJUuW5PDhw2zduhUPDw/mzp1rap+amsrYsWNxdnZm7ty5+Zry1rFjRxYvXswPP/xAmzZtTMeNcX3wwQd07doVOzs72rdvT7169QgICOCzzz4jKSmJ5s2bc+LECTZt2oSfn1+uOynlJSEhgVOnTjF48OBH+n0REfnrUPFJREREpJj58MMPczw+e/bsQis+DRgwgG3btrF8+XJu375N5cqVGTp0KOPGjQOgZMmSDBo0iP3797N7924MBgNubm6mIpJR7969KVmyJJGRkcyfPx8HBwf8/Pz4+9//brYDW+3atdmwYQOLFi1i06ZNJCYm4uzszLPPPsv48eNN7YYOHcrXX3/N/v37SUtLo2rVqrzyyit5rlNRsWJFVq5cycyZM1myZAlly5Zl4MCBVKxYkbfeesusbffu3alYsSJLliwhKiqKtLQ0KlWqhLe3N717987ztWvUqBHbtm0jKiqK6OhotmzZgrW1NbVq1SI4ONisUGZjY8N//vMfNm/ezPr161mwYAHp6em4ubkxfvx4goKCcHBwMLVfuHAhBw8epGnTpqbd6KZMmWJW0LpfgwYN8PT0ZMeOHWbFJy8vLyZPnszatWvZt28fWVlZfPXVVzg4ODBz5kyqVavGpk2b+PLLLylfvjxjxoxhwoQJeT7/3OzevRt7e3u6dOnyyOcQEZG/BivDw2xlISIiIiIixd7mzZt59913iY6ONiv6FaVevXrh4+PDm2++aZHri4jI46M1n0RERERExEyPHj2oWrUqa9asscj19+7dy/nz5xkzZoxFri8iIo+XRj6JiIiIiIiIiEih0cgnEREREREREREpNCo+iYiIiIiIiIhIoVHxSURERERERERECo2KTyIiIiIiIiIiUmhUfBIRERERERERkUKj4pOIiIiIiIiIiBQaFZ9ERERERERERKTQqPgkIiIiIiIiIiKFRsUnEREREREREREpNCo+iYiIiIiIiIhIoVHxSURERERERERECs3/AyEXvCQCUpdfAAAAAElFTkSuQmCC\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Filtrar para remover os municípios classificados como 'outros'\n", + "df_co2 = df_co2[df_co2['Municípios'] != 'Outros']\n", + "\n", + "# Agrupar por município, somando as áreas desmatadas ao longo dos anos\n", + "grouped = df_co2.groupby(['Municípios'])['CO2_emitido'].sum().reset_index()\n", + "\n", + "# Filtrar para manter apenas os 10 maiores municípios\n", + "top_10_municipios = grouped.nlargest(10, 'CO2_emitido')\n", + "\n", + "# Definir uma paleta de cores distinta\n", + "colors = sns.color_palette(\"husl\", len(top_10_municipios))\n", + "\n", + "# Criar gráfico de barras para os 10 municípios\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios, palette=colors)\n", + "plt.title('Top 10 Municípios com Mais Emissões de CO₂ (2019 a 2020)', fontsize=14)\n", + "plt.xlabel('Emissões de CO₂ (ton)', fontsize=12)\n", + "plt.ylabel('Município', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 688 + }, + "id": "iNmKZdwKLH4P", + "outputId": "6bbdef5f-0872-4d58-df7d-768e05270373", + "collapsed": true + }, + "execution_count": 282, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":15: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='CO2_emitido', y='Municípios', data=top_10_municipios, palette=colors)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**2. DADOS DESMATAMENTO - MAPBIOMAS**" + ], + "metadata": { + "id": "4b3RXVJPee-P" + } + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ], + "metadata": { + "id": "GGWC3zlhehXu" + }, + "execution_count": 283, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# importando dados\n", + "\n", + "df3 = pd.read_csv('mapbiomas_ba.csv')\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df3.head())\n", + "\n", + "df3.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dOTnbHapgsxF", + "outputId": "f036d6e9-07e8-4431-ae7f-b221383033f5", + "collapsed": true + }, + "execution_count": 284, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " CODEALERTA FONTE BIOMA ESTADO MUNICIPIO AREAHA \\\n", + "0 1226926 {SAD-CAATINGA} Caatinga BAHIA Iaçu 2.96 \n", + "1 1226922 {SAD-CAATINGA} Caatinga BAHIA Miguel Calmon 1.69 \n", + "2 1227303 {SAD-CAATINGA} Caatinga BAHIA Buritirama 2.05 \n", + "3 1227296 {SAD-CAATINGA} Caatinga BAHIA Piatã 0.69 \n", + "4 1227291 {SAD-CAATINGA} Caatinga BAHIA Cotegipe 23.97 \n", + "\n", + " ANODETEC DATADETEC DTIMGANT DTIMGDEP DTPUBLI VPRESSAO \n", + "0 2024.0 2024/01/01 2023/01/26 2024/02/14 2024/04/30 agriculture \n", + "1 2024.0 2024/01/01 2023/06/30 2024/01/31 2024/04/30 agriculture \n", + "2 2024.0 2024/01/01 2023/03/17 2023/10/10 2024/04/30 agriculture \n", + "3 2024.0 2024/01/01 2023/04/27 2023/06/17 2024/04/30 agriculture \n", + "4 2024.0 2024/01/01 2023/08/12 2023/10/17 2024/04/30 agriculture \n", + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 CODEALERTA 28397 non-null int64 \n", + " 1 FONTE 28397 non-null object \n", + " 2 BIOMA 28397 non-null object \n", + " 3 ESTADO 28397 non-null object \n", + " 4 MUNICIPIO 28397 non-null object \n", + " 5 AREAHA 28397 non-null float64\n", + " 6 ANODETEC 28397 non-null float64\n", + " 7 DATADETEC 28397 non-null object \n", + " 8 DTIMGANT 28397 non-null object \n", + " 9 DTIMGDEP 28397 non-null object \n", + " 10 DTPUBLI 28397 non-null object \n", + " 11 VPRESSAO 28397 non-null object \n", + "dtypes: float64(2), int64(1), object(9)\n", + "memory usage: 2.6+ MB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Converta a coluna de ano para int\n", + "\n", + "df3[['ANODETEC']] = df3[['ANODETEC']].astype(int)\n", + "\n", + "df3.info()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "_0gvkwXlQnbU", + "outputId": "7fdb6adb-7774-4bbd-bf0d-1e34ae782aed", + "collapsed": true + }, + "execution_count": 285, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "RangeIndex: 28397 entries, 0 to 28396\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 CODEALERTA 28397 non-null int64 \n", + " 1 FONTE 28397 non-null object \n", + " 2 BIOMA 28397 non-null object \n", + " 3 ESTADO 28397 non-null object \n", + " 4 MUNICIPIO 28397 non-null object \n", + " 5 AREAHA 28397 non-null float64\n", + " 6 ANODETEC 28397 non-null int64 \n", + " 7 DATADETEC 28397 non-null object \n", + " 8 DTIMGANT 28397 non-null object \n", + " 9 DTIMGDEP 28397 non-null object \n", + " 10 DTPUBLI 28397 non-null object \n", + " 11 VPRESSAO 28397 non-null object \n", + "dtypes: float64(1), int64(2), object(9)\n", + "memory usage: 2.6+ MB\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Conta os códigos únicos de ano\n", + "num_ano = df3['ANODETEC'].nunique()\n", + "print(f\"Existem {num_ano} anos únicos no arquivo CSV.\")\n", + "\n", + "\n", + "# Conta os códigos únicos de municípios\n", + "num_municipios = df3['MUNICIPIO'].nunique()\n", + "print(f\"Existem {num_municipios} municípios únicos no arquivo CSV.\")\n", + "\n", + "\n", + "# Conta os códigos únicos de municípios\n", + "num_V = df3['VPRESSAO'].nunique()\n", + "print(f\"Existem {num_V} pressao únicos no arquivo CSV.\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "607C9FU3iE_g", + "outputId": "080ebad1-df05-49f8-d054-196c2616aec9" + }, + "execution_count": 286, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Existem 6 anos únicos no arquivo CSV.\n", + "Existem 407 municípios únicos no arquivo CSV.\n", + "Existem 10 pressao únicos no arquivo CSV.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Filtrar para manter apenas os anos entre 2019 e 2022\n", + "df3_limpo = df3[(df3['ANODETEC'] >= 2019) & (df3['ANODETEC'] <= 2022)]\n", + "\n", + "# Remover as colunas indesejadas\n", + "colunas_para_remover = ['CODEALERTA', 'FONTE', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'DATADETEC']\n", + "df3_reduzido = df3_limpo.drop(columns=colunas_para_remover)\n", + "\n", + "# Exibir as primeiras linhas do DataFrame limpo\n", + "print(df3_reduzido.head())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "xw4vph8wsQCY", + "outputId": "acabac46-a492-41af-cb59-59e8613bf03d", + "collapsed": true + }, + "execution_count": 287, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "370 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", + "376 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", + "377 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", + "378 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", + "391 Cerrado BAHIA Baianópolis 2.91 2021 agriculture\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Conta os códigos únicos\n", + "num = df3_reduzido['MUNICIPIO'].nunique()\n", + "\n", + "print(f\"Existem {num} valores únicos no arquivo CSV.\") # sairam alguns municipios na retiradas dos outros anos" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "I13V4g3G8CNb", + "outputId": "a250682a-5548-4106-e162-3aa09a3f0fee" + }, + "execution_count": 288, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Existem 392 valores únicos no arquivo CSV.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# somente caso precise para conferência\n", + "\n", + "\n", + "\n", + "# Obtém os códigos únicos de municípios\n", + "# municipios_unicos = df3_reduzido['MUNICIPIO'].unique()\n", + "\n", + "# Exibe os códigos dos municípios únicos\n", + "# print(municipios_unicos)\n", + "\n", + "# somando\n", + "\n", + "df3_MUN = df3_reduzido.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_MUN.head())\n", + "\n", + "df3_ANO = df3_reduzido.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_ANO.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4LvRvq8pSL8G", + "outputId": "dd1889c8-20ce-42ef-b4c2-5be5f311a5d8", + "collapsed": true + }, + "execution_count": 289, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " MUNICIPIO AREAHA\n", + "0 Abaré 11.93\n", + "1 Abaíra 41.90\n", + "2 Acajutiba 34.86\n", + "3 Adustina 167.45\n", + "4 Aiquara 175.27\n", + " ANODETEC AREAHA\n", + "0 2019 64554.41\n", + "1 2020 113073.16\n", + "2 2021 154250.73\n", + "3 2022 227779.90\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "print(df3_reduzido.info())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "WBdJUsJ9f3Yi", + "outputId": "46f6ffa6-6d48-4b67-c7d0-53313cb3bf57", + "collapsed": true + }, + "execution_count": 290, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Index: 17026 entries, 370 to 27982\n", + "Data columns (total 6 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 BIOMA 17026 non-null object \n", + " 1 ESTADO 17026 non-null object \n", + " 2 MUNICIPIO 17026 non-null object \n", + " 3 AREAHA 17026 non-null float64\n", + " 4 ANODETEC 17026 non-null int64 \n", + " 5 VPRESSAO 17026 non-null object \n", + "dtypes: float64(1), int64(1), object(4)\n", + "memory usage: 931.1+ KB\n", + "None\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Verificar se tem valores faltantes\n", + "\n", + "print(df3_reduzido.isnull().sum())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Jeufw3Gvf6gj", + "outputId": "0f08a829-2f38-4723-d691-72ec35db6639", + "collapsed": true + }, + "execution_count": 291, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "BIOMA 0\n", + "ESTADO 0\n", + "MUNICIPIO 0\n", + "AREAHA 0\n", + "ANODETEC 0\n", + "VPRESSAO 0\n", + "dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Conta os códigos únicos\n", + "num1 = df3_reduzido['MUNICIPIO'].nunique()\n", + "\n", + "print(f\"Existem {num1} valores únicos no arquivo CSV.\")\n", + "\n", + "# Conta os códigos únicos\n", + "num2 = df3_reduzido['ANODETEC'].nunique()\n", + "\n", + "print(f\"Existem {num2} valores únicos no arquivo CSV.\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "waRI9WJc4RMa", + "outputId": "d72c768e-c909-4d3f-81ca-28c357d66cc7" + }, + "execution_count": 292, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Existem 392 valores únicos no arquivo CSV.\n", + "Existem 4 valores únicos no arquivo CSV.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Salvando o arquivo final em um novo CSV\n", + "\n", + "df3_reduzido.to_csv('desmatamento.csv', index=False, encoding='utf-8')\n", + "\n", + "print(df3_reduzido)" + ], + "metadata": { + "id": "Dmt95mSDi-XN", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "0b1849b0-719b-48c2-a278-fdf010aa53e5", + "collapsed": true + }, + "execution_count": 293, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "370 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", + "376 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", + "377 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", + "378 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", + "391 Cerrado BAHIA Baianópolis 2.91 2021 agriculture\n", + "... ... ... ... ... ... ...\n", + "27941 Cerrado BAHIA Riacho de Santana 1.70 2021 agriculture\n", + "27942 Cerrado BAHIA Igaporã 1.93 2021 others\n", + "27967 Cerrado BAHIA Cotegipe 1.58 2021 agriculture\n", + "27968 Cerrado BAHIA Cotegipe 2.98 2021 agriculture\n", + "27982 Cerrado BAHIA Tanque Novo 2.92 2021 agriculture\n", + "\n", + "[17026 rows x 6 columns]\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Visualização dos dados**" + ], + "metadata": { + "id": "9yAQtchPsAC4" + } + }, + { + "cell_type": "code", + "source": [ + "# Importar bibliotecas necessárias\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Carregar os dados integrados\n", + "df_desmatamento = pd.read_csv('desmatamento.csv')\n", + "\n", + "# Exibir as primeiras linhas do DataFrame para verificar se os dados foram carregados corretamente\n", + "print(df_desmatamento.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "collapsed": true, + "id": "0QQgbfE9s3X_", + "outputId": "924480c8-ebb6-475a-a7bc-8247f9e94ae2" + }, + "execution_count": 294, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", + "1 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", + "2 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", + "3 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", + "4 Cerrado BAHIA Baianópolis 2.91 2021 agriculture\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# somente caso precise\n", + "\n", + "\n", + "df3_MUN = df_desmatamento.groupby('MUNICIPIO')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_MUN.head())\n", + "\n", + "\n", + "df3_ANO = df_desmatamento.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", + "\n", + "# Mostrar o resultado\n", + "print(df3_ANO.head())\n", + "\n", + "# Somar os valores da coluna AREAHA\n", + "total_area_desmatada = df_desmatamento['AREAHA'].sum()\n", + "\n", + "print(f'Total de Área Desmatada (ha): {total_area_desmatada:.2f}')\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "D0nu8Y5KjhXD", + "outputId": "d8929b83-e436-4e82-da0f-e59e06f3f63a", + "collapsed": true + }, + "execution_count": 295, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " MUNICIPIO AREAHA\n", + "0 Abaré 11.93\n", + "1 Abaíra 41.90\n", + "2 Acajutiba 34.86\n", + "3 Adustina 167.45\n", + "4 Aiquara 175.27\n", + " ANODETEC AREAHA\n", + "0 2019 64554.41\n", + "1 2020 113073.16\n", + "2 2021 154250.73\n", + "3 2022 227779.90\n", + "Total de Área Desmatada (ha): 559658.20\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Definir o estilo para os gráficos\n", + "sns.set(style=\"whitegrid\")" + ], + "metadata": { + "id": "QvbjlogE5FVE" + }, + "execution_count": 296, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Agrupar os dados por ano e somar a área desmatada\n", + "grouped = df_desmatamento.groupby('ANODETEC')['AREAHA'].sum().reset_index()\n", + "\n", + "# Criar o gráfico de barras para a área desmatada\n", + "plt.figure(figsize=(10, 6))\n", + "\n", + "# Definir uma paleta de cores distinta\n", + "colors = sns.color_palette(\"husl\", len(grouped['ANODETEC'].unique()))\n", + "\n", + "# Criar o gráfico de barras, utilizando as cores definidas\n", + "sns.barplot(x='ANODETEC', y='AREAHA', data=grouped, palette=colors, errorbar=None)\n", + "\n", + "plt.title('Total de Área Desmatada por Ano na Bahia', fontsize=14)\n", + "plt.xlabel('Ano', fontsize=12)\n", + "plt.ylabel('Área Desmatada (ha)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", + "plt.show()\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 688 + }, + "id": "h8SueyKp5JVU", + "outputId": "edc925cf-442b-412e-fbb6-d49869518cfc", + "collapsed": true + }, + "execution_count": 297, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":11: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='ANODETEC', y='AREAHA', data=grouped, palette=colors, errorbar=None)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Agrupar por ano e município, somando as áreas desmatadas\n", + "grouped = df_desmatamento.groupby(['ANODETEC', 'MUNICIPIO'])['AREAHA'].sum().reset_index()\n", + "\n", + "# Filtrar para remover municípios com área desmatada zero\n", + "grouped = grouped[grouped['AREAHA'] > 0]\n", + "\n", + "# Obter anos únicos\n", + "years = grouped['ANODETEC'].unique()\n", + "\n", + "plt.figure(figsize=(12, 10))\n", + "\n", + "# Definir uma paleta de cores distinta\n", + "colors = sns.color_palette(\"husl\", len(years))\n", + "\n", + "for i, year in enumerate(years):\n", + " # Filtrar os 10 maiores municípios para cada ano\n", + " top_10_municipios = grouped[grouped['ANODETEC'] == year].nlargest(10, 'AREAHA')\n", + "\n", + " # Criar um subgráfico\n", + " plt.subplot(len(years), 1, i + 1)\n", + "\n", + " # Criar o gráfico de barras\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + " palette=[colors[i]], dodge=False)\n", + "\n", + " plt.title(f'Top 10 Municípios com Mais Desmatamento em {year}', fontsize=14)\n", + " plt.xlabel('Área Desmatada (ha)', fontsize=12)\n", + " plt.ylabel('Município', fontsize=12)\n", + " plt.xticks(rotation=45)\n", + "\n", + " # Adicionar a legenda específica para cada gráfico\n", + " handles = [plt.Line2D([0], [0], color=colors[i], lw=4)]\n", + " plt.legend(handles, [year], title='Ano', frameon=False)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "9oJWCS29GjH8", + "outputId": "6c7a78f2-55c5-4ef2-e8bf-b97e7d9669e9", + "collapsed": true + }, + "execution_count": 298, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":23: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n", + ":23: UserWarning: \n", + "The palette list has fewer values (1) than needed (10) and will cycle, which may produce an uninterpretable plot.\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios,\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Agrupar por município, somando as áreas desmatadas ao longo dos anos\n", + "grouped = df_desmatamento.groupby(['MUNICIPIO'])['AREAHA'].sum().reset_index()\n", + "\n", + "# Filtrar para manter apenas os 10 maiores municípios\n", + "top_10_municipios = grouped.nlargest(10, 'AREAHA')\n", + "\n", + "# Definir uma paleta de cores distinta\n", + "colors = sns.color_palette(\"husl\", len(top_10_municipios))\n", + "\n", + "# Criar gráfico de barras para os 10 municípios\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios, palette=colors)\n", + "plt.title('Top 10 Municípios com Mais Desmatamento (2019 a 2020)', fontsize=14)\n", + "plt.xlabel('Área Desmatada (ha)', fontsize=12)\n", + "plt.ylabel('Município', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 688 + }, + "id": "gTNS0id9JA9k", + "outputId": "27848a60-7e0c-4e35-bce8-fc7dfede74bd", + "collapsed": true + }, + "execution_count": 299, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":12: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='AREAHA', y='MUNICIPIO', data=top_10_municipios, palette=colors)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Agrupar dados por bioma e calcular a soma de AREAHA\n", + "bioma_data = df_desmatamento.groupby('BIOMA')['AREAHA'].sum().reset_index()\n", + "\n", + "# Criar gráfico de barras para área desmatada por bioma\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(x='BIOMA', y='AREAHA', data=bioma_data, palette='viridis')\n", + "\n", + "# Configurações do gráfico\n", + "plt.title('Área Desmatada por Bioma', fontsize=14)\n", + "plt.xlabel('Bioma', fontsize=12)\n", + "plt.ylabel('Área Desmatada (ha)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "\n", + "# Exibir o gráfico\n", + "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 688 + }, + "id": "KJQvHpTDMvDZ", + "outputId": "7ab45578-3885-4bdf-86a6-6cbcc8209543", + "collapsed": true + }, + "execution_count": 300, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":6: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.barplot(x='BIOMA', y='AREAHA', data=bioma_data, palette='viridis')\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "# Agrupar dados por ano e bioma, somando a área desmatada\n", + "bioma_year_data = df_desmatamento.groupby(['ANODETEC', 'BIOMA'])['AREAHA'].sum().reset_index()\n", + "\n", + "# Definir a paleta de cores para o gráfico\n", + "# Aqui, você pode definir as cores que deseja usar (as mesmas do gráfico de pizza)\n", + "palette = sns.color_palette(\"husl\", len(bioma_year_data['BIOMA'].unique()))\n", + "\n", + "# Criar gráfico de barras para área desmatada por bioma e por ano\n", + "plt.figure(figsize=(12, 6))\n", + "sns.barplot(x='ANODETEC', y='AREAHA', hue='BIOMA', data=bioma_year_data, palette=palette)\n", + "\n", + "# Configurações do gráfico\n", + "plt.title('Área Desmatada por Bioma e por Ano', fontsize=16)\n", + "plt.xlabel('Ano', fontsize=12)\n", + "plt.ylabel('Área Desmatada (ha)', fontsize=12)\n", + "plt.xticks(rotation=45)\n", + "\n", + "# Adicionar legenda\n", + "plt.legend(title='Bioma')\n", + "\n", + "# Exibir o gráfico\n", + "plt.tight_layout() # Ajustar o layout para evitar sobreposição\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 601 + }, + "id": "5iNU6vKjMvAj", + "outputId": "0df3fdc8-d23e-443a-9665-33007ed5debd", + "collapsed": true + }, + "execution_count": 301, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Agrupar dados por bioma e calcular a soma de AREAHA\n", + "bioma_data = df_desmatamento.groupby('BIOMA')[['AREAHA']].sum()\n", + "\n", + "# Definir a paleta de cores\n", + "palette = sns.color_palette(\"husl\", len(bioma_data.index))\n", + "\n", + "# Criar gráfico de pizza para área desmatada\n", + "plt.figure(figsize=(14, 6))\n", + "plt.pie(bioma_data['AREAHA'], labels=bioma_data.index, autopct='%1.1f%%', startangle=140,\n", + " colors=palette)\n", + "plt.title('Distribuição de Área Desmatada por Bioma')\n", + "plt.axis('equal') # Para garantir que o gráfico seja um círculo\n", + "\n", + "# Exibir o gráfico\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 559 + }, + "id": "Aux4WAmZMu9J", + "outputId": "dcb4811a-f2b6-46b4-e3d0-588c749235ea", + "collapsed": true + }, + "execution_count": 302, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Agrupar dados por tipo de pressão e calcular a soma da área desmatada\n", + "vpressao_data = df_desmatamento.groupby('VPRESSAO')['AREAHA'].sum()\n", + "\n", + "# Ordenar do maior para o menor\n", + "vpressao_data = vpressao_data.sort_values(ascending=False)\n", + "\n", + "# Definir a paleta de cores\n", + "palette = sns.color_palette(\"husl\", len(vpressao_data.index))\n", + "\n", + "# Criar gráfico de barras\n", + "plt.figure(figsize=(10, 6))\n", + "bars = sns.barplot(x=vpressao_data.index, y=vpressao_data.values, palette=palette)\n", + "plt.xlabel('Tipo de Pressão')\n", + "plt.ylabel('Área Desmatada (ha)')\n", + "plt.title('Distribuição de Área Desmatada por Tipo de Pressão')\n", + "plt.xticks(rotation=45, ha='right')\n", + "\n", + "# Mostrar o gráfico\n", + "plt.tight_layout()\n", + "\n", + "plt.show()\n", + "\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 688 + }, + "id": "pVoJiHwRMu4V", + "outputId": "dad4c9d6-fb6e-4ee0-e64f-652adf6e5970", + "collapsed": true + }, + "execution_count": 303, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":16: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " bars = sns.barplot(x=vpressao_data.index, y=vpressao_data.values, palette=palette)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**Comparando as bases de dados**" + ], + "metadata": { + "id": "_q7zkPedSmZl" + } + }, + { + "cell_type": "code", + "source": [ + "# importando dados\n", + "\n", + "df_desmatamento = pd.read_csv('desmatamento.csv')\n", + "\n", + "df_co2 = pd.read_csv('co2.csv')\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df_desmatamento.head())\n", + "\n", + "print(df_co2.head())" + ], + "metadata": { + "id": "I94Is9Ugs3l4", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "3c5984bc-75fe-4040-95a9-9805d5c51c92" + }, + "execution_count": 304, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Cerrado BAHIA Canápolis 2.30 2021 agriculture\n", + "1 Cerrado BAHIA São Desidério 12.52 2021 agriculture\n", + "2 Cerrado BAHIA Luís Eduardo Magalhães 4.83 2021 agriculture\n", + "3 Cerrado BAHIA Riachão das Neves 7.41 2021 agriculture\n", + "4 Cerrado BAHIA Baianópolis 2.91 2021 agriculture\n", + " Municípios Ano CO2_emitido\n", + "0 São Desidério (BA) 2019 2024107\n", + "1 Formosa do Rio Preto (BA) 2019 4220327\n", + "2 Jaborandi (BA) 2019 1706967\n", + "3 Correntina (BA) 2019 1545572\n", + "4 Barreiras (BA) 2019 1568927\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Contando o número de municípios únicos em cada DataFrame\n", + "num_municipios_desmatamentos = df_desmatamento['MUNICIPIO'].nunique()\n", + "num_municipios_co2s = df_co2['Municípios'].nunique()\n", + "\n", + "print(f\"Número de municípios únicos em df_desmatamentos: {num_municipios_desmatamentos}\")\n", + "print(f\"Número de municípios únicos em df_co2s: {num_municipios_co2s}\")" + ], + "metadata": { + "id": "t4uBo8XzwXuK", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "155dc090-bc48-48ff-a95f-d0a2581b0c42" + }, + "execution_count": 305, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Número de municípios únicos em df_desmatamentos: 392\n", + "Número de municípios únicos em df_co2s: 31\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Limpar e padronizar os nomes de municípios\n", + "\n", + "df_desmatamento['MUNICIPIO'] = df_desmatamento['MUNICIPIO'].str.strip().str.lower()\n", + "df_co2['Municípios'] = df_co2['Municípios'].str.strip().str.lower()\n", + "\n", + "# Exibindo as primeiras linhas dos DataFrames para verificar\n", + "\n", + "print(df_desmatamento.head())\n", + "\n", + "print(df_co2.head())\n" + ], + "metadata": { + "id": "_NzU6L8rSa0b", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "e83eecd3-0892-416d-8be1-3852659e827f" + }, + "execution_count": 306, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO\n", + "0 Cerrado BAHIA canápolis 2.30 2021 agriculture\n", + "1 Cerrado BAHIA são desidério 12.52 2021 agriculture\n", + "2 Cerrado BAHIA luís eduardo magalhães 4.83 2021 agriculture\n", + "3 Cerrado BAHIA riachão das neves 7.41 2021 agriculture\n", + "4 Cerrado BAHIA baianópolis 2.91 2021 agriculture\n", + " Municípios Ano CO2_emitido\n", + "0 são desidério (ba) 2019 2024107\n", + "1 formosa do rio preto (ba) 2019 4220327\n", + "2 jaborandi (ba) 2019 1706967\n", + "3 correntina (ba) 2019 1545572\n", + "4 barreiras (ba) 2019 1568927\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Municípios que estão apenas em df_desmatamento\n", + "municipios_exclusivos_desmatamento = set(df_desmatamento['MUNICIPIO'].unique()) - set(df_co2['Municípios'].unique())\n", + "print(\"Municípios exclusivos em df_desmatamento:\", municipios_exclusivos_desmatamento)\n", + "\n", + "# Municípios que estão apenas em df_co2\n", + "municipios_exclusivos_co2 = set(df_co2['Municípios'].unique()) - set(df_desmatamento['MUNICIPIO'].unique())\n", + "print(\"Municípios exclusivos em df_co2:\", municipios_exclusivos_co2)\n" + ], + "metadata": { + "id": "U-aGD1oLwuaZ", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "3734b924-63d5-4c52-b488-556addd4da7b" + }, + "execution_count": 307, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Municípios exclusivos em df_desmatamento: {'boa vista do tupim', 'jaborandi', 'una', 'pintadas', 'teolândia', 'ibitiara', 'jacaraci', 'milagres', 'tabocas do brejo velho', 'uruçuca', 'barrocas', 'formosa do rio preto', 'ituaçu', 'porto seguro', 'eunápolis', 'ibirapitanga', 'boquira', 'jeremoabo', 'mirante', 'ribeira do pombal', 'irará', 'candeal', 'caculé', 'andaraí', 'érico cardoso', 'nova ibiá', 'olindina', 'gentio do ouro', 'quixabeira', 'iguaí', 'cardeal da silva', 'itapitanga', 'conceição do jacuípe', 'maraú', 'são sebastião do passé', 'brejões', 'tremedal', 'caém', 'marcionílio souza', 'itagibá', 'itajuípe', 'camacan', 'simões filho', 'maragogipe', 'itacaré', 'mulungu do morro', 'serra preta', 'pindobaçu', 'guaratinga', 'capim grosso', 'jussari', 'santa inês', 'uibaí', 'joão dourado', 'poções', 'nova itarana', 'aurelino leal', 'ibipeba', 'itaguaçu da bahia', 'itabuna', 'salinas da margarida', 'bonito', 'tapiramutá', 'ibiassucê', 'jaguaquara', 'medeiros neto', 'planaltino', 'água fria', 'jaguarari', 'banzaê', 'buritirama', 'pilão arcado', 'aracatu', 'jitaúna', 'ipirá', 'esplanada', 'queimadas', 'castro alves', 'ouriçangas', 'muquém do são francisco', 'itanhém', 'irecê', 'ibiquera', 'ourolândia', 'itagimirim', 'pojuca', 'anguera', 'elísio medrado', 'itambé', 'inhambupe', 'matina', 'miguel calmon', 'botuporã', 'cristópolis', 'boninal', 'conceição do almeida', 'cipó', 'quijingue', 'dom basílio', 'belmonte', 'ibotirama', 'rio do antônio', 'caatiba', 'teodoro sampaio', 'ribeirão do largo', 'cansanção', 'utinga', 'gandu', 'ipecaetá', 'antônio gonçalves', 'mata de são joão', 'sátiro dias', \"dias d'ávila\", 'araci', 'paripiranga', 'itaquara', 'jiquiriçá', 'iramaia', 'campo alegre de lourdes', 'arataca', 'sobradinho', 'heliópolis', 'saubara', 'itororó', 'igaporã', 'pindaí', 'nilo peçanha', 'ibicaraí', 'paramirim', 'barro preto', 'santo antônio de jesus', 'morpará', 'umburanas', 'nova canaã', 'igrapiúna', 'ubaitaba', 'chorrochó', 'brumado', 'salvador', 'nova soure', 'macarani', 'são felipe', 'mascote', 'ribeira do amparo', 'oliveira dos brejinhos', 'itanagra', 'piraí do norte', 'boa nova', 'são josé da vitória', 'novo horizonte', 'taperoá', 'antas', 'serra do ramalho', 'são gabriel', 'macaúbas', 'mairi', 'amélia rodrigues', 'canudos', 'candeias', 'macajuba', 'jacobina', 'presidente jânio quadros', 'santa cruz da vitória', 'wagner', 'ruy barbosa', 'nova viçosa', 'ibititá', 'iaçu', 'jaguaripe', 'uauá', 'coronel joão sá', 'ilhéus', 'valença', 'contendas do sincorá', 'santa terezinha', 'aiquara', 'catu', 'coaraci', 'carinhanha', 'paratinga', 'urandi', 'itabela', 'iraquara', 'mirangaba', 'aramari', 'ibicoara', 'livramento de nossa senhora', 'belo campo', 'manoel vitorino', 'conceição do coité', 'casa nova', 'caravelas', 'mansidão', 'piripá', 'prado', 'aratuípe', 'itapetinga', 'lajedo do tabocal', 'planalto', 'são josé do jacuípe', 'caldeirão grande', 'baixa grande', 'santa luzia', 'sítio do mato', 'firmino alves', 'vera cruz', 'cândido sales', 'rodelas', 'fátima', 'terra nova', 'jandaíra', 'américa dourada', 'alcobaça', 'araçás', 'lagoa real', 'itiúba', 'juazeiro', 'itaeté', 'palmeiras', 'bom jesus da serra', 'barreiras', 'lajedinho', 'ubaíra', 'wanderley', 'santa cruz cabrália', 'presidente tancredo neves', 'cotegipe', 'monte santo', 'itaju do colônia', 'itapebi', 'feira da mata', 'jussiape', 'maetinga', 'jucuruçu', 'itaberaba', 'souto soares', 'cravolândia', 'maiquinique', 'morro do chapéu', 'sítio do quinto', 'camaçari', 'gongogi', 'correntina', 'guanambi', 'ponto novo', 'cabaceiras do paraguaçu', 'nordestina', 'itarantim', 'itapé', 'euclides da cunha', 'vitória da conquista', 'nova redenção', 'floresta azul', 'brejolândia', 'acajutiba', 'lençóis', 'mundo novo', 'adustina', 'condeúba', 'senhor do bonfim', 'guajeru', 'ibirataia', 'campo formoso', 'curaçá', 'rio do pires', 'encruzilhada', 'itamari', 'santa bárbara', 'angical', 'ubatã', 'mucuri', 'abaré', 'abaíra', 'caraíbas', 'bom jesus da lapa', 'pau brasil', 'anagé', 'ituberá', 'catolândia', 'muniz ferreira', 'são desidério', 'teixeira de freitas', 'barra do choça', 'são félix do coribe', 'rafael jambeiro', 'wenceslau guimarães', 'nazaré', 'canápolis', 'iuiu', 'serrolândia', 'ichu', 'apuarema', 'são gonçalo dos campos', 'aporá', 'santo amaro', 'buerarema', 'brotas de macaúbas', 'tanhaçu', 'itamaraju', 'cocos', 'macururé', 'filadélfia', 'pé de serra', 'riachão das neves', 'coribe', 'caetité', 'malhada de pedras', 'piritiba', 'jequié', 'conde', 'vereda', 'valente', 'luís eduardo magalhães', 'lafaiete coutinho', 'ibirapuã', 'alagoinhas', 'cafarnaum', 'mucugê', 'serra dourada', 'são félix', 'crisópolis', 'seabra', 'baianópolis', 'várzea nova', 'licínio de almeida', 'cícero dantas', 'ipupiara', 'biritinga', 'almadina', 'riacho de santana', 'feira de santana', 'pedrão', 'remanso', 'irajuba', 'piatã', 'serrinha', 'barra', 'ibicuí', 'cachoeira', 'palmas de monte alto', 'barra do rocha', 'riachão do jacuípe', 'santana', 'glória', 'santanópolis', 'barra do mendes', 'sebastião laranjeiras', 'santa brígida', 'rio real', 'laje', 'sapeaçu', 'canavieiras', 'potiraguá', 'dário meira', 'pedro alexandre', 'sento sé', 'ibipitanga', 'itiruçu', 'paulo afonso', 'santa rita de cássia', 'coração de maria', 'caturama', 'cairu', 'itagi', 'caetanos', 'tucano', 'itatim', 'ipiaú', 'xique-xique', 'malhada', 'rio de contas', 'candiba', 'santo estêvão', 'itapicuru', 'santaluz', 'entre rios', 'varzedo', 'mortugaba', 'cordeiros', 'amargosa', 'várzea da roça', 'tanque novo', 'maracás', 'santa maria da vitória', 'mutuípe', 'barra da estiva', 'camamu', 'novo triunfo', 'saúde', 'conceição da feira', 'andorinha', 'jussara'}\n", + "Municípios exclusivos em df_co2: {'ibirapitanga (ba)', 'iguaí (ba)', 'barreiras (ba)', 'itapetinga (ba)', 'cocos (ba)', 'camamu (ba)', 'riachão das neves (ba)', 'encruzilhada (ba)', 'luís eduardo magalhães (ba)', 'ilhéus (ba)', 'formosa do rio preto (ba)', 'são desidério (ba)', 'jaborandi (ba)', 'itambé (ba)', 'ibicuí (ba)', 'valença (ba)', 'jequié (ba)', 'outros', 'cotegipe (ba)', 'guaratinga (ba)', 'nilo peçanha (ba)', 'igrapiúna (ba)', 'dário meira (ba)', 'itarantim (ba)', 'santa rita de cássia (ba)', 'correntina (ba)', 'belmonte (ba)', 'itagibá (ba)', 'barra (ba)', 'maraú (ba)', 'baianópolis (ba)'}\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Municípios que estão em ambos os DataFrames\n", + "municipios_comuns = set(df_desmatamento['MUNICIPIO'].unique()).intersection(set(df_co2['Municípios'].unique()))\n", + "print(\"Municípios em ambos os DataFrames:\", municipios_comuns)\n" + ], + "metadata": { + "id": "Y1u6byQ3wyx3", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "24e6574c-00fc-4e11-f49d-42aed684babf" + }, + "execution_count": 186, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Municípios em ambos os DataFrames: {'jaborandi', 'itapetinga', 'itarantim', 'dário meira', 'cocos', 'formosa do rio preto', 'santa rita de cássia', 'ibirapitanga', 'riachão das neves', 'jequié', 'luís eduardo magalhães', 'encruzilhada', 'barreiras', 'baianópolis', 'valença', 'iguaí', 'ilhéus', 'nilo peçanha', 'maraú', 'cotegipe', 'são desidério', 'itagibá', 'barra', 'ibicuí', 'itambé', 'igrapiúna', 'camamu', 'guaratinga', 'correntina', 'belmonte'}\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Unindo as tabelas pelo ano\n", + "df_unido = pd.merge(df_desmatamento, df_co2, left_on=['ANODETEC'], right_on=['Ano'], how='outer')\n", + "df_unido.head()" + ], + "metadata": { + "id": "ZSxqzlNRxQpo", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 206 + }, + "outputId": "c97cc477-b887-4db3-a910-e343a27cffe9" + }, + "execution_count": 309, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " BIOMA ESTADO MUNICIPIO AREAHA ANODETEC VPRESSAO \\\n", + "0 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", + "1 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", + "2 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", + "3 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", + "4 Mata Atlântica BAHIA cândido sales 21.2 2019 agriculture \n", + "\n", + " Municípios Ano CO2_emitido \n", + "0 são desidério (ba) 2019 2024107 \n", + "1 formosa do rio preto (ba) 2019 4220327 \n", + "2 jaborandi (ba) 2019 1706967 \n", + "3 correntina (ba) 2019 1545572 \n", + "4 barreiras (ba) 2019 1568927 " + ], + "text/html": [ + "\n", + "
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BIOMAESTADOMUNICIPIOAREAHAANODETECVPRESSAOMunicípiosAnoCO2_emitido
0Mata AtlânticaBAHIAcândido sales21.22019agriculturesão desidério (ba)20192024107
1Mata AtlânticaBAHIAcândido sales21.22019agricultureformosa do rio preto (ba)20194220327
2Mata AtlânticaBAHIAcândido sales21.22019agriculturejaborandi (ba)20191706967
3Mata AtlânticaBAHIAcândido sales21.22019agriculturecorrentina (ba)20191545572
4Mata AtlânticaBAHIAcândido sales21.22019agriculturebarreiras (ba)20191568927
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\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "df_unido" + } + }, + "metadata": {}, + "execution_count": 309 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Conta os códigos únicos\n", + "num1 = df_unido['Municípios'].nunique()\n", + "\n", + "print(f\"Existem {num1} valores únicos no arquivo CSV.\")\n", + "\n", + "# Conta os códigos únicos\n", + "num2 = df_unido['Ano'].nunique()\n", + "\n", + "print(f\"Existem {num2} valores únicos no arquivo CSV.\")\n", + "\n", + "\n", + "# Conta os códigos únicos\n", + "num3 = df_unido['MUNICIPIO'].nunique()\n", + "\n", + "print(f\"Existem {num3} valores únicos no arquivo CSV.\")\n", + "\n", + "# Conta os códigos únicos\n", + "num4 = df_unido['ANODETEC'].nunique()\n", + "\n", + "print(f\"Existem {num4} valores únicos no arquivo CSV.\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "NV2-t9baAo30", + "outputId": "04c19724-6fec-4a56-f3b3-3827a27f9641" + }, + "execution_count": 310, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Existem 31 valores únicos no arquivo CSV.\n", + "Existem 4 valores únicos no arquivo CSV.\n", + "Existem 392 valores únicos no arquivo CSV.\n", + "Existem 4 valores únicos no arquivo CSV.\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "Integrando para Visualização" + ], + "metadata": { + "id": "tANvvvt5Lajc" + } + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "# Criar um DataFrame com os dados fornecidos\n", + "data = {\n", + " 'Ano': [2019, 2020, 2021, 2022],\n", + " 'CO2_emitido': [33720252, 33245171, 31815256, 31412973],\n", + " 'AREAHA': [64554.41, 113073.16, 154250.73, 227779.90]\n", + "}\n", + "\n", + "df = pd.DataFrame(data)\n", + "\n", + "# Criar gráfico de barras\n", + "fig, ax1 = plt.subplots(figsize=(12, 6))\n", + "\n", + "# Gráfico de barras para CO2\n", + "ax1.bar(df['Ano'], df['CO2_emitido'], color='blue', alpha=0.6, label='CO2 Emitido (toneladas)')\n", + "ax1.set_xlabel('Ano')\n", + "ax1.set_ylabel('CO2 Emitido (toneladas)', color='blue')\n", + "ax1.tick_params(axis='y', labelcolor='blue')\n", + "\n", + "# Criar um segundo eixo y para Área Desmatada\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(df['Ano'], df['AREAHA'], color='red', marker='o', label='Área Desmatada (ha)')\n", + "ax2.set_ylabel('Área Desmatada (ha)', color='red')\n", + "ax2.tick_params(axis='y', labelcolor='red')\n", + "\n", + "# Adicionar título e legenda\n", + "plt.title('Comparação entre Emissão de CO2 e Área Desmatada por Ano')\n", + "fig.tight_layout()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 601 + }, + "id": "dCJ-RIZTLa0L", + "outputId": "f244a020-b642-4862-9f66-21d65b7a70cf" + }, + "execution_count": 323, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Criar um DataFrame com os dados fornecidos\n", + "data = {\n", + " 'Ano': [2019, 2020, 2021, 2022],\n", + " 'CO2_emitido': [33720252, 33245171, 31815256, 31412973],\n", + " 'AREAHA': [64554.41, 113073.16, 154250.73, 227779.90]\n", + "}\n", + "\n", + "df = pd.DataFrame(data)\n", + "\n", + "# Calcular a correlação\n", + "correlation = df[['CO2_emitido', 'AREAHA']].corr()\n", + "\n", + "# Exibir a correlação\n", + "print(\"Coeficiente de Correlação:\")\n", + "print(correlation)\n", + "\n", + "# Criar um mapa de calor\n", + "plt.figure(figsize=(8, 6))\n", + "sns.heatmap(correlation, annot=True, cmap='coolwarm', center=0, cbar_kws={\"shrink\": .8})\n", + "plt.title('Mapa de Calor da Correlação entre CO2 Emitido e Área Desmatada')\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 622 + }, + "id": "QsKiNFdMXRFs", + "outputId": "b2f20070-61f4-4927-a4bb-2062c23823d4" + }, + "execution_count": 324, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Coeficiente de Correlação:\n", + " CO2_emitido AREAHA\n", + "CO2_emitido 1.000000 -0.945668\n", + "AREAHA -0.945668 1.000000\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Definindo o estilo do gráfico\n", + "sns.set(style=\"whitegrid\")\n", + "\n", + "# Criar o gráfico de dispersão com linha de tendência\n", + "plt.figure(figsize=(10, 6))\n", + "sns.regplot(x='AREAHA', y='CO2_emitido', data=df, scatter_kws={'alpha':0.5}, line_kws={'color':'red'})\n", + "plt.xlabel('Área Desmatada (ha)')\n", + "plt.ylabel('Emissão de CO2')\n", + "plt.title('Relação entre Desmatamento e Emissão de CO2 com Linha de Tendência')\n", + "plt.grid()\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 574 + }, + "id": "7lfnBJF3HjMz", + "outputId": "a66a4111-ac1e-4d8e-f308-3b6aae83a423" + }, + "execution_count": 325, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**CRIANDO UM BANCO DE DADOS**\n", + "\n", + "\n", + "Vamos começar lendo dados de um arquivo CSV e inserindo-os em uma tabela do banco de dados SQLite." + ], + "metadata": { + "id": "3cmdxAhsfFZG" + } + }, + { + "cell_type": "code", + "source": [ + "\n", + "# criando com arquivo csv\n", + "\n", + "import sqlite3\n", + "import pandas as pd\n", + "from sqlalchemy import create_engine\n", + "#from google.colab import files\n", + "\n", + "Passo 1: Fazer upload do arquivo CSV\n", + "uploaded = files.upload()\n", + "\n", + "# Passo 2: Ler o CSV em um DataFrame\n", + "df = pd.read_csv('dados_integrados.csv')\n", + "\n", + "# Passo 3: Criar o engine para o SQLite\n", + "engine = create_engine('sqlite:///banco.db') #abre e fecha conexões\n", + "\n", + "# Passo 4: Inserir o DataFrame no banco de dados SQLite\n", + "df.to_sql('desmatamento_co2', con=engine, if_exists='replace', index=False)\n", + "\n", + "print(\"Dados inseridos com sucesso no SQLite!\")\n", + "\n", + "# Passo 5: Consultar o banco de dados\n", + "conn = sqlite3.connect('banco.db')\n", + "cursor = conn.cursor()\n", + "\n", + "# Fazer uma consulta\n", + "cursor.execute(\"SELECT * FROM desmatamento_co2 LIMIT 5\")\n", + "rows = cursor.fetchall()\n", + "\n", + "# Mostrar os resultados\n", + "for row in rows:\n", + " print(row)\n", + "\n", + "# Fechar a conexão\n", + "conn.close()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "utOkFSAn2NNG", + "outputId": "e7c05bcd-596d-407c-b668-eea82a8cba10" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Dados inseridos com sucesso no SQLite!\n", + "('Cerrado', 'BAHIA', 'são desidério', 12.52, 'agriculture', 3159579, 2021)\n", + "('Cerrado', 'BAHIA', 'luís eduardo magalhães', 4.83, 'agriculture', 654262, 2021)\n", + "('Cerrado', 'BAHIA', 'riachão das neves', 7.41, 'agriculture', 761963, 2021)\n", + "('Cerrado', 'BAHIA', 'baianópolis', 2.91, 'agriculture', 1700892, 2021)\n", + "('Cerrado', 'BAHIA', 'santa rita de cássia', 2.3, 'agriculture', 998700, 2021)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# criando com data frame\n", + "\n", + "import sqlite3\n", + "import pandas as pd\n", + "from sqlalchemy import create_engine\n", + "\n", + "\n", + "# Passo 1: Criar um DataFrame com os dados fornecidos\n", + "data = {\n", + " 'Ano': [2019, 2020, 2021, 2022],\n", + " 'CO2_emitido': [33720252, 33245171, 31815256, 31412973],\n", + " 'AREAHA': [64554.41, 113073.16, 154250.73, 227779.90]\n", + "}\n", + "\n", + "df = pd.DataFrame(data)\n", + "\n", + "# Passo 2: Criar o engine para o SQLite\n", + "engine = create_engine('sqlite:///banco.db') #abre e fecha conexões\n", + "\n", + "# Passo 3: Inserir o DataFrame no banco de dados SQLite\n", + "df.to_sql('desmatamento_co2', con=engine, if_exists='replace', index=False)\n", + "\n", + "print(\"Dados inseridos com sucesso no SQLite!\")\n", + "\n", + "# Passo 5: Consultar o banco de dados\n", + "conn = sqlite3.connect('banco.db')\n", + "cursor = conn.cursor()\n", + "\n", + "# Fazer uma consulta\n", + "cursor.execute(\"SELECT * FROM desmatamento_co2 LIMIT 5\")\n", + "rows = cursor.fetchall()\n", + "\n", + "# Mostrar os resultados\n", + "for row in rows:\n", + " print(row)\n", + "\n", + "# Fechar a conexão\n", + "conn.close()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "bT0CeNXgN-yR", + "outputId": "26241080-9508-4e73-c37f-f390fe78e656" + }, + "execution_count": 235, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Dados inseridos com sucesso no SQLite!\n", + "(2019, 33720252, 64554.41)\n", + "(2020, 33245171, 113073.16)\n", + "(2021, 31815256, 154250.73)\n", + "(2022, 31412973, 227779.9)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "**CONSIDERAÇÔES FINAIS**\n", + "\n", + "\n", + "A análise inicial dos dados revelou que, apesar dos esforços de preservação, o desmatamento em várias regiões da Bahia aumentou significativamente nos últimos anos. Isso ocorre especialmente em áreas de biomas sensíveis, como a Caatinga e o Cerrado, que são biomas predominantes no estado.\n", + "\n", + "Sabe-se que o desmatamento está relacionado com altas emissões de CO₂, um dos principais gases responsáveis pelo efeito estufa. O impacto negativo do desmatamento é agravado pelo fato de que essas áreas desmatadas são substituídas por atividades que emitem ainda mais CO₂, como a agropecuária.\n", + "\n", + "Entretanto, a análise de dados do período escolhido, as taxas de desmatamento tiveram um aumento significativo a cada ano e as emissões de CO₂ apresentaram pequenas quedas a cada ano, o que levanta questões sobre o papel de eventos globais e econômicos na redução temporária das atividades humanas e como isso afeta o meio ambiente em escala local e global.\n", + "\n", + "Regiões com maiores áreas desmatadas apresentaram emissões de carbono elevadas, principalmente em áreas destinadas à agropecuária no Cerrado baiano.\n", + "\n", + "- A pandemia trouxe uma breve redução nas emissões, mas o desmatamento continuou a crescer, destacando a necessidade de políticas públicas mais robustas e eficientes para combater essa tendência.\n", + "\n", + "- A expansão agrícola é um dos principais motores do desmatamento e das emissões de CO₂ na Bahia.\n", + "\n", + "- Apesar da breve redução de emissões durante o período analisado, anos da pandemia, o desmatamento persistiu, o que sugere que fatores locais (como a pressão econômica) têm um papel crucial no aumento da degradação ambiental.\n", + "\n", + "- Medidas de mitigação mais efetivas, incluindo a fiscalização e preservação de áreas naturais, são fundamentais para controlar as emissões de carbono derivadas do desmatamento." + ], + "metadata": { + "id": "fdQmOKTrY-XL" + } + } + ] +} \ No newline at end of file From 71c70db80ebf33a7ee2804c6613b778815404b43 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sun, 13 Oct 2024 17:39:46 -0300 Subject: [PATCH 80/90] Rename projeto_final_paloma_anne.ipynb to dados/projeto_final_paloma_anne.ipynb --- .../projeto_final_paloma_anne.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename projeto_final_paloma_anne.ipynb => dados/projeto_final_paloma_anne.ipynb (99%) diff --git 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Subject: [PATCH 82/90] Delete dados/SEEG_total.csv --- dados/SEEG_total.csv | 2 -- 1 file changed, 2 deletions(-) delete mode 100644 dados/SEEG_total.csv diff --git a/dados/SEEG_total.csv b/dados/SEEG_total.csv deleted file mode 100644 index a328204..0000000 --- a/dados/SEEG_total.csv +++ /dev/null @@ -1,2 +0,0 @@ -"Categoria","1990","1991","1992","1993","1994","1995","1996","1997","1998","1999","2000","2001","2002","2003","2004","2005","2006","2007","2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022" -"Mudança de Uso da Terra e Floresta","70346747.15899676","71780019.26727358","66197609.62467325","70596267.4275751","65561886.20244032","65837268.39167261","57888942.425540954","47957781.19114104","45902644.51174931","52758816.455465525","53541736.09887202","54583565.539362594","48897778.96005872","44792024.845131695","62041921.23971866","53873566.600383624","42938042.57816073","36201333.19042103","44185860.04666814","44958049.99438389","36218796.598589376","37999331.77184552","53872973.21679476","51958218.25629969","37191106.66246329","31902645.03827828","31308046.09885961","32342972.05444017","38049420.59290606","33720265.584785685","33245186.445011586","31815271.56421204","31412973" From 69d155b77ad7b5a5e3adae522a9d5134748a0707 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Sun, 13 Oct 2024 17:42:27 -0300 Subject: [PATCH 83/90] Delete material /projeto_final_paloma.md --- material /projeto_final_paloma.md | 745 ------------------------------ 1 file changed, 745 deletions(-) delete mode 100644 material /projeto_final_paloma.md diff --git a/material /projeto_final_paloma.md b/material /projeto_final_paloma.md deleted file mode 100644 index f8f33a9..0000000 --- a/material /projeto_final_paloma.md +++ /dev/null @@ -1,745 +0,0 @@ -# Projeto Final - -Desenvolvido por: - -Paloma Avena palomaavena@gmail.com - -Anne Ribeiro anne.asribeiro@gmail.com - ---- - -## Contexto - -Nos últimos anos, a questão do desmatamento e suas consequências ambientais têm se tornado uma preocupação crescente. A Bahia, por ser um estado de grande diversidade biológica, possui áreas significativas de florestas e biomas que desempenham um papel vital na regulação climática. O desmatamento pode impactar diretamente as emissões de dióxido de carbono (CO₂), contribuindo para o aquecimento global e alterações climáticas. - ---- -## Etapas do projeto: - -Selecionar a Base de Dados -Definir Objetivo e Perguntas -Realizar Análise Exploratória -Gerar Base Final -Criar Visualizações no Tableau -Preparar Apresentação Final - ---- - -## Bases de dados - -- **Base 1**: [MapBiomas Alertas](https://plataforma.alerta.mapbiomas.org/downloads) - -- Dados de áreas(ha) desmatada por Municipío, Fator de pressão e Biomas no estado da Bahia. - -![image](https://github.com/user-attachments/assets/c88130d7-548c-4b12-9af6-8c31a6f222d7) - -- **Base 2**: [Sistema de Estimativas de Emissões e Remoções de Gases de Efeito Estufa (SEEG)](https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-goias&_gl=1*1nqir75*_ga*NTI0MDk2MzUwLjE3Mjc1NDQ0NjA.*_ga_XZWSWEJDWQ*MTcyNzU0NDQ2MC4xLjAuMTcyNzU0NDQ2MC4wLjAuMA..) -- Dados de CO2 em toneladas por Municípios e Biomas de Mudanças e usos do solo e floresta. - -![image](https://github.com/user-attachments/assets/485e7e6c-9ebf-418c-8e25-d570c54780e1) - ---- - -### Objetivo Geral: - -Este projeto tem como objetivo analisar os dados de desmatamento e emissões de CO₂ no estado da Bahia entre 2019 e 2022, a fim de entender como o desmatamento tem impactado as emissões de carbono no período da Pandemia. - ---- - -### As perguntas norteadoras deste projeto são: - -1. Como o desmatamento na Bahia impacta as taxas de emissão de CO₂? -2. Qual a taxa de desmatamento nos municípios e biomas da Bahia entre 2019 e 2022? -3. Existe uma correlação entre as áreas desmatadas e o aumento das emissões de CO₂? -4. Como a pandemia afetou as taxas de desmatamento e emissões de CO₂? - - -Utilizamos técnicas de análise de dados para identificar padrões e correlações entre as variáveis: - -Análise temporal: Avaliamos a evolução do desmatamento e das emissões ao longo dos anos de 2019 a 2022. - -Correlações regionais: Mapeamos as emissões de CO₂ e áreas desmatadas por município, identificando as regiões da Bahia mais afetadas. Descobrimos que áreas como o Oeste da Bahia, caracterizadas pelo agronegócio, registram as maiores emissões. - ---- - -## Ferramentas Utilizadas: - -Banco de dados Python (Jupyter Notebook): Para a análise exploratória de dados utilizando bibliotecas como Pandas, Seaborn, Matplotlib, etc. Tableau: Para criar as visualizações finais e apresentar os insights gerados. GitHub: Para versionamento do projeto e documentação. Google Colab (opcional): Para execução de notebooks de forma colaborativa e em nuvem. - -Instalando o Python: Acesse o site oficial do Python (https://www.python.org/) e baixe a versão mais recente para o seu sistema operacional. Siga as instruções de instalação para configurar o Python em seu computador. - -Instalando o Visual Studio Code (VS Code): Acesse o site (https://code.visualstudio.com/). - -Extensões que irão tornar o processo de desenvolvimento mais simples e intuitivo: - -SQLite: Essa extensão essencial oferece recursos para abrir e editar arquivos SQLite (.db), executar consultas SQL, visualizar dados e até mesmo criar tabelas e colunas diretamente no VS Code. - -SQLite Viewer: Com o SQLite Viewer, você pode visualizar seus dados SQLite de forma gráfica, sem precisar escrever código. Ele oferece uma interface simples e amigável para navegar pelas tabelas, visualizar os dados e editar registros. - ---- - -**Bibliotecas e módulos**: - -sqlite3 csv Pandas Seaborn Matplotlib - ---- - -## Análise exploratória de dados - -### 1. DADOS DE CO2 - SEEG - -Vamos utilizar a coluna categoria (municipio e total de co2 emitido por tipo de emissão, no caso Mudança de Uso da Terra e Floresta e os anos de 2019 a 2022. - -Coleta de dados CO2 Bahia, SEEG: - -link: https://plataforma.seeg.eco.br/?highlight=states-net-emissions-by-sector-bahia&_gl=1*gambxz*_ga*MTk5NTgxNjM5MS4xNzI1NjQzNTE1*_ga_XZWSWEJDWQ*MTcyNTY0MzUxNS4xLjAuMTcyNTY0MzUxNS4wLjAuMA..blob:https://plataforma.seeg.eco.br/845fd445-2d02-43a9-bb87-14435bfb6c1b - -CO2: quantidade em tonelada - ---- - -```python - -# 1. Importando os dados das planilhas - -# Primeiro, instale a biblioteca pandas se ainda não estiver instalada -!pip install pandas - -# Importando os dados -import pandas as pd -import csv - -# Carregando os dois arquivos CSV -# Caso esteja rodando localmente, altere o caminho dos arquivos, no Colab, você pode fazer upload dos arquivos e colocar o nome do arquivo abaixo: - -df1 = pd.read_csv('SEEG.csv') - - -# Exibindo as primeiras linhas dos DataFrames para verificar -print(df1.head()) - -``` - - -```python - -# 2. Verificar informações gerais dos DataFrames - -df1.info() - - -``` - - -```python - - -# Selecionar as colunas específicas - -df_1 = df1[['Categoria','2019', '2020', '2021', '2022']] -print(df_1) - -``` - - -```python - - -# Altera os nomes das colunas - -df_1.columns = ['Municípios', '2019', '2020', '2021', '2022'] -print(df_1) - - -``` - - -```python - -# Remover informações de estado (como "(BA)") de 'Municípios' - -df_1['Municípios'] = df_1['Municípios'].str.replace(r' ', '', regex=True) - -print(df_1) - - -``` - - -```python - -df_merged.info() - -``` - -```python - -# Converta todas as colunas de anos para inteiro - -df_1[['2019', '2020', '2021', '2022']] = df_1[['2019', '2020', '2021', '2022']].astype(int) - -print(df_1) - -``` - - -```python - -# Contagem de valores nulos em cada coluna - -nulos_por_coluna1 = df_1.isnull().sum() -print(nulos_por_coluna1) - - -``` - - -```python - -# Remove linhas duplicadas - -df_sem_duplicatas1 = df_1.drop_duplicates() -print(df_sem_duplicatas1) - -``` - - -```python - -# Transformar os dados para um formato longo (melt) - -df_sem_duplicatas1 = pd.melt(df_1, id_vars=['Municípios'], value_vars=['2019', '2020', '2021', '2022'], var_name='Ano', value_name='CO2_emitido') - -print(df_sem_duplicatas1) - - -``` - - - -```python - -# Calcular o total da coluna 'valor' -valor_total = df1['2022'].sum() -print("O valor total da coluna 'valor' é:", valor_total) - -``` - - - -```python - - -# Salvando o arquivo final em um novo CSV - -df_sem_duplicatas1.to_csv('co2.csv', index=False, encoding='utf-8') - -print(df_sem_duplicatas1) - - -``` - ---- - -### 2. DADOS DESMATAMENTO - MAPBIOMAS - -```python - -import pandas as pd -import numpy as np -import matplotlib.pyplot as plt - -``` - - -```python - - -# importando dados - -df3 = pd.read_csv('mapbiomas_ba.csv') - -# Exibindo as primeiras linhas dos DataFrames para verificar - -print(df3.head()) - -``` - - -```python - -df3.info() - -``` - - - -```python - -# Converta todas as colunas de anos para int - -df3[['ANODETEC']] = df3[['ANODETEC']].astype(int) - -df3.info() - -``` - - -```python - -# Remover múltiplas colunas de uma vez, temos que deixar municipio, area ha (pra calcular o desmatamento, data tec e ano) - -colunas_para_remover = ['CODEALERTA', 'FONTE', 'DTIMGANT', 'DTIMGDEP', 'DTPUBLI', 'DATADETEC'] - -df3_limpo = df3.drop(columns=colunas_para_remover) - -print(df3_limpo.head()) - -``` - - -```python - -print(df3_limpo.info()) - -``` - - -```python - -# Verificar se tem valores nulo - -print(df3_limpo.isnull().sum()) - -``` - - -```python - -# Agrupamentos - - -df3_MUN = df3_limpo.groupby('MUNICIPIO')['AREAHA'].sum().reset_index() - -# Mostrar o resultado -print(df3_MUN.head()) - -df3_ANO = df3_limpo.groupby('ANODETEC')['AREAHA'].sum().reset_index() - -# Mostrar o resultado -print(df3_ANO.head()) - -``` - -```python - -# Salvando o arquivo final em um novo CSV - -df3_limpo.to_csv('desmatamento.csv', index=False, encoding='utf-8') - -print(df3_limpo) - -``` - ---- - -### 3. Integração dos Dados de CO₂ e Desmatamento por Município - - -``` python - -# importando dados - -df_desmatamento = pd.read_csv('desmatamento.csv') - -df_co2 = pd.read_csv('co2.csv') - -# Exibindo as primeiras linhas dos DataFrames para verificar - -print(df_desmatamento.head()) - -print(df_co2.head()) - -``` - - -```python - -# Limpar e padronizar os nomes de municípios - -df_desmatamento['MUNICIPIO'] = df_desmatamento['MUNICIPIO'].str.strip().str.lower() -df_co2['Municípios'] = df_co2['Municípios'].str.strip().str.lower() - -# Exibindo as primeiras linhas dos DataFrames para verificar - -print(df_desmatamento.head()) - -print(df_co2.head()) - - -``` - - - -```python - - -# Remove linhas duplicadas - -df_desmatamentos = df_desmatamento.drop_duplicates() -print(df_desmatamentos) - - -df_co2s = df_co2.drop_duplicates() -print(df_co2s) - -``` - - - -```python - -# Realizar a junção das tabelas com base nos municípios e anos -df_integrado = pd.merge(df_desmatamentos, df_co2s, left_on=['MUNICIPIO', 'ANODETEC'], right_on=['Municípios', 'Ano'], how='inner') - -# Exibir as primeiras linhas da tabela integrada -df_integrado.head() - -``` - - - -```python - - -# Verificar se os valores de 'MUNICIPIO' e 'Municípios' são iguais -df_integrado['MUNICIPIO_igual'] = df_integrado['MUNICIPIO'] == df_integrado['Municípios'] - -# Verificar se os valores de 'ANODETEC' e 'Ano' são iguais -df_integrado['ANODETEC_igual'] = df_integrado['ANODETEC'] == df_integrado['Ano'] - -# Verificar se há algum False na coluna 'MUNICIPIO_igual' -tem_falso_municipio = df_integrado['MUNICIPIO_igual'].any() == False - -# Verificar se há algum False na coluna 'ANODETEC_igual' -tem_falso_ano = df_integrado['ANODETEC_igual'].any() == False - -print(f"Tem algum 'False' na comparação de Município? {tem_falso_municipio}") -print(f"Tem algum 'False' na comparação de Ano? {tem_falso_ano}") - -``` - - - -```python - - -#Unificando colunas iguais: -df_integrado['MUNICIPIO'] = df_integrado['MUNICIPIO'] - -df_integrado['ANO'] = df_integrado['Ano'] - - -# Agora podemos excluir as colunas antigas - -df_integrado = df_integrado.drop(columns=['Municípios', 'MUNICIPIO_igual']) -df_integrado = df_integrado.drop(columns=['ANODETEC', 'Ano', 'ANODETEC_igual']) - -# Exibir as primeiras linhas da tabela integrada -df_integrado.head() - -``` - - - -```python - -# Salvando o arquivo final em CSV -df_integrado.to_csv('dados_integrados.csv', index=False, encoding='utf-8') - -``` - ---- - -## Visualização - -```python - -# Importar bibliotecas necessárias -import pandas as pd -import matplotlib.pyplot as plt -import seaborn as sns - -# Carregar os dados integrados -df_integrado = pd.read_csv('dados_integrados.csv') - -# Exibir as primeiras linhas do DataFrame para verificar se os dados foram carregados corretamente -print(df_integrado.head()) - - -``` - - - -```python - - -# Definir o estilo para os gráficos -sns.set(style="whitegrid") - -``` - - - - - -```python - - -# 1. Gráfico de barras: Desmatamento total por ano -plt.figure(figsize=(10,6)) -sns.barplot(x='ANO', y='AREAHA', data=df_integrado, estimator=sum, ci=None, color='teal') -plt.title('Total de Área Desmatada por Ano (Bahia)', fontsize=14) -plt.xlabel('Ano', fontsize=12) -plt.ylabel('Área Desmatada (ha)', fontsize=12) -plt.xticks(rotation=45) -plt.show() - -# 2. Gráfico de barras: Emissões de CO₂ por ano -plt.figure(figsize=(10,6)) -sns.barplot(x='ANO', y='CO2_emitido', data=df_integrado, estimator=sum, ci=None, color='orange') -plt.title('Emissões de CO₂ por Ano (Bahia)', fontsize=14) -plt.xlabel('Ano', fontsize=12) -plt.ylabel('Emissões de CO₂ (ton)', fontsize=12) -plt.xticks(rotation=45) -plt.show() - -``` - - - - -```python - - -# Gráfico de barras empilhadas: Desmatamento e CO₂ emitido nos 10 municípios com mais desmatamento -plt.figure(figsize=(12,7)) - -# Selecionar os 10 municípios com maiores áreas desmatadas -municipios_mais_desmatados = df_integrado.groupby('MUNICIPIO')['AREAHA'].sum().nlargest(10).index - -# Filtrar o DataFrame para incluir apenas os 10 municípios selecionados -df_municipios_desmatados = df_integrado[df_integrado['MUNICIPIO'].isin(municipios_mais_desmatados)] - -# Criar gráfico de barras empilhadas com área desmatada e CO₂ emitido -sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, hue='ANO', ci=None, palette='viridis') -plt.title('Emissões de CO₂ nos 10 Municípios com Mais Desmatamento por Ano', fontsize=14) -plt.xlabel('Município', fontsize=12) -plt.ylabel('Emissões de CO₂ (ton)', fontsize=12) -plt.xticks(rotation=45) -plt.legend(title='Ano') -plt.show() - -``` - - - -```python - -# Gráfico de barras para Emissões de CO2 por Município - -# Ordenar os municípios por CO2_emitido -df_sorted = df.sort_values(by='CO2_emitido', ascending=False) - -# Criar gráfico de barras para CO2 emitido por município -plt.figure(figsize=(12,8)) -sns.barplot(x='CO2_emitido', y='MUNICIPIO', data=df_sorted, palette='Reds') - -plt.title('Emissões de CO2 por Município (Cerrado, Bahia)', fontsize=16) -plt.xlabel('Emissões de CO2 (toneladas)', fontsize=12) -plt.ylabel('Município', fontsize=12) -plt.tight_layout() -plt.show() - - -# Gráfico de barras para Área Desmatada por Município - -# Ordenar os municípios por área desmatada -df_sorted_area = df.sort_values(by='AREAHA', ascending=False) - -# Criar gráfico de barras para área desmatada por município -plt.figure(figsize=(12,8)) -sns.barplot(x='AREAHA', y='MUNICIPIO', data=df_sorted_area, palette='Greens') - -plt.title('Área Desmatada por Município (Cerrado, Bahia)', fontsize=16) -plt.xlabel('Área Desmatada (hectares)', fontsize=12) -plt.ylabel('Município', fontsize=12) -plt.tight_layout() -plt.show() - - - -``` - - - -```python - -import matplotlib.pyplot as plt -import seaborn as sns -import numpy as np - -# Criar gráfico de dispersão -plt.figure(figsize=(12, 8)) -sns.scatterplot(data=df, x='AREAHA', y='CO2_emitido', color='blue', alpha=0.6) - -# Calcular a linha de tendência -x = df['AREAHA'] -y = df['CO2_emitido'] -m, b = np.polyfit(x, y, 1) # Ajustar uma linha de tendência (y = mx + b) -plt.plot(x, m*x + b, color='red', linewidth=2, label='Linha de Tendência') - -# Adicionar títulos e rótulos -plt.title('Relação entre Área Desmatada e Emissões de CO2', fontsize=16) -plt.xlabel('Área Desmatada (hectares)', fontsize=12) -plt.ylabel('Emissões de CO2 (toneladas)', fontsize=12) -plt.legend() -plt.tight_layout() -plt.show() - -``` - - - -```python - -# Calcular a correlação -correlacao = df['AREAHA'].corr(df['CO2_emitido']) -print(f'A correlação entre a área desmatada e CO2 emitido é: {correlacao}') - -# Interpretar a correlação -if correlacao > 0: - print("Correlação positiva: À medida que a área desmatada aumenta, as emissões de CO2 também tendem a aumentar.") -elif correlacao < 0: - print("Correlação negativa: À medida que a área desmatada aumenta, as emissões de CO2 tendem a diminuir.") -else: - print("Sem correlação: Não há relação clara entre as duas variáveis.") - - -``` - - - - - -```python - -# Gráfico de calor: Correlação entre desmatamento e CO₂ emitido -plt.figure(figsize=(8,6)) -correlation_matrix = df_integrado[['AREAHA', 'CO2_emitido']].corr() -sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', linewidths=0.5) -plt.title('Correlação entre Desmatamento e CO₂ Emitido', fontsize=14) -plt.show() - -``` - - - - -```python - -# Gráfico de dispersão: Relação entre área desmatada e CO₂ emitido -plt.figure(figsize=(10,6)) -sns.scatterplot(x='AREAHA', y='CO2_emitido', data=df_integrado, hue='ANO', palette='coolwarm', s=100) -plt.title('Relação entre Área Desmatada e CO₂ Emitido', fontsize=14) -plt.xlabel('Área Desmatada (ha)', fontsize=12) -plt.ylabel('CO₂ Emitido (ton)', fontsize=12) -plt.legend(title='Ano') -plt.show() - - - -``` - - - - -```python - - -# Gráficos separados: Desmatamento e CO₂ por município para os 10 municípios mais desmatados -fig, axs = plt.subplots(2, 1, figsize=(12, 10)) - -# Gráfico de barras para desmatamento nos 10 municípios mais desmatados -sns.barplot(x='MUNICIPIO', y='AREAHA', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[0], color='teal') -axs[0].set_title('Área Desmatada nos 10 Municípios (Bahia)', fontsize=14) -axs[0].set_xlabel('Município', fontsize=12) -axs[0].set_ylabel('Área Desmatada (ha)', fontsize=12) -axs[0].set_xticklabels(axs[0].get_xticklabels(), rotation=45) - -# Gráfico de barras para CO₂ nos 10 municípios mais desmatados -sns.barplot(x='MUNICIPIO', y='CO2_emitido', data=df_municipios_desmatados, estimator=sum, ci=None, ax=axs[1], color='orange') -axs[1].set_title('Emissões de CO₂ nos 10 Municípios (Bahia)', fontsize=14) -axs[1].set_xlabel('Município', fontsize=12) -axs[1].set_ylabel('Emissões de CO₂ (ton)', fontsize=12) -axs[1].set_xticklabels(axs[1].get_xticklabels(), rotation=45) - -plt.tight_layout() -plt.show() - -``` - ---- - - -## Banco de dados - - -```python - -import sqlite3 -import pandas as pd -from sqlalchemy import create_engine -#from google.colab import files - -# Passo 1: Fazer upload do arquivo CSV -# uploaded = files.upload() - -# Passo 2: Ler o CSV em um DataFrame -df = pd.read_csv('dados_integrados.csv') - -# Passo 3: Criar o engine para o SQLite -engine = create_engine('sqlite:///banco.db') #abre e fecha conexões - -# Passo 4: Inserir o DataFrame no banco de dados SQLite -df.to_sql('desmatamento_co2', con=engine, if_exists='replace', index=False) - -print("Dados inseridos com sucesso no SQLite!") - -# Passo 5: Consultar o banco de dados -conn = sqlite3.connect('banco.db') -cursor = conn.cursor() - -# Fazer uma consulta -cursor.execute("SELECT * FROM desmatamento_co2 LIMIT 5") -rows = cursor.fetchall() - -# Mostrar os resultados -for row in rows: - print(row) - -# Fechar a conexão -conn.close() - - -``` - ---- - -## Considerações - -A análise inicial dos dados revelou que, apesar dos esforços de preservação, o desmatamento em várias regiões da Bahia aumentou significativamente nos últimos anos. - -Isso ocorre especialmente em áreas de biomas sensíveis, como a Caatinga e o Cerrado, que são biomas predominantes no estado. - -O impacto negativo do desmatamento é agravado pelo fato de que essas áreas desmatadas são substituídas por atividades que emitem ainda mais CO₂, como a agropecuária. - From b46de2dff9f9dd14ca2457924a75a1092581f1d1 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 14 Oct 2024 10:07:03 -0300 Subject: [PATCH 84/90] Create README.md --- projeto/README.md | 31 +++++++++++++++++++++++++++++++ 1 file changed, 31 insertions(+) create mode 100644 projeto/README.md diff --git a/projeto/README.md b/projeto/README.md new file mode 100644 index 0000000..bd34deb --- /dev/null +++ b/projeto/README.md @@ -0,0 +1,31 @@ +# Análise do Desmatamento e das Emissões de CO₂ na Bahia Durante a Pandemia + +## Descrição do Projeto +Este projeto visa analisar as emissões de CO2 e a área desmatada no Brasil durante o período da pandemia. + +## Objetivo +O projeto tem como objetivo analisar os dados de desmatamento e emissões de CO₂ no estado da Bahia. Utilizando bases de dados, a análise explora como o desmatamento impactou as emissões de carbono durante o período da pandemia. + +## Conjunto de Dados +- **Fonte dos Dados**: MapBiomas Alertas e SEEG. +- **Período**: 2019 a 2022. + +## Ferramentas e Tecnologias Utilizadas +- **Linguagem de Programação**: Python +- **Bibliotecas**: Pandas, Matplotlib, Seaborn + +## Metodologia +1. Limpeza e Preparação dos Dados +2. Análise Exploratória de Dados (EDA) + + +## Conclusão +- A pandemia trouxe uma breve redução nas emissões, mas o desmatamento continuou a crescer, destacando a necessidade de políticas públicas mais robustas e eficientes para combater essa tendência. + +- A expansão agrícola é um dos principais motores do desmatamento e das emissões de CO₂ na Bahia. + +- Apesar da breve redução de emissões durante o período analisado, anos da pandemia, o desmatamento persistiu, o que sugere que fatores locais (como a pressão econômica) têm um papel crucial no aumento da degradação ambiental. + + + ## Autoras +Anne e Paloma From 7a02ac9b1fc3c64ee078ae6e9275b27b21f4cab3 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 14 Oct 2024 10:07:51 -0300 Subject: [PATCH 85/90] Rename projeto_final_paloma_anne.ipynb to projeto_final_paloma_anne.ipynb --- {dados => projeto}/projeto_final_paloma_anne.ipynb | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename {dados => projeto}/projeto_final_paloma_anne.ipynb (100%) diff --git a/dados/projeto_final_paloma_anne.ipynb b/projeto/projeto_final_paloma_anne.ipynb similarity index 100% rename from dados/projeto_final_paloma_anne.ipynb rename to projeto/projeto_final_paloma_anne.ipynb From 1fc74353fa95f9a435ddd6191a729adf2f8d2861 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 14 Oct 2024 10:08:26 -0300 Subject: [PATCH 86/90] Rename Apres_projeto_final_paloma_anne.pdf to Apres_projeto_final_paloma_anne.pdf --- .../Apres_projeto_final_paloma_anne.pdf | Bin 1 file changed, 0 insertions(+), 0 deletions(-) rename {dados => projeto}/Apres_projeto_final_paloma_anne.pdf (100%) diff --git a/dados/Apres_projeto_final_paloma_anne.pdf b/projeto/Apres_projeto_final_paloma_anne.pdf similarity index 100% rename from dados/Apres_projeto_final_paloma_anne.pdf rename to projeto/Apres_projeto_final_paloma_anne.pdf From 06e949cb3a5b00c26c3c7aaa455bf60c054b4372 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 14 Oct 2024 10:08:43 -0300 Subject: [PATCH 87/90] Rename mapbiomas_ba.csv to mapbiomas_ba.csv --- dados/mapbiomas_ba.csv | 28398 ------------------------------------- projeto/mapbiomas_ba.csv | 1 + 2 files changed, 1 insertion(+), 28398 deletions(-) delete mode 100644 dados/mapbiomas_ba.csv create mode 100644 projeto/mapbiomas_ba.csv diff --git a/dados/mapbiomas_ba.csv b/dados/mapbiomas_ba.csv deleted file mode 100644 index 5802ab5..0000000 --- a/dados/mapbiomas_ba.csv +++ /dev/null @@ -1,28398 +0,0 @@ -CODEALERTA,FONTE,BIOMA,ESTADO,MUNICIPIO,AREAHA,ANODETEC,DATADETEC,DTIMGANT,DTIMGDEP,DTPUBLI,VPRESSAO -"1226926",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,2.9600000000,2024.0000000000,2024/01/01,2023/01/26,2024/02/14,2024/04/30,agriculture -"1226922",{SAD-CAATINGA},Caatinga,BAHIA,Miguel Calmon,1.6900000000,2024.0000000000,2024/01/01,2023/06/30,2024/01/31,2024/04/30,agriculture -"1227303",{SAD-CAATINGA},Caatinga,BAHIA,Buritirama,2.0500000000,2024.0000000000,2024/01/01,2023/03/17,2023/10/10,2024/04/30,agriculture -"1227296",{SAD-CAATINGA},Caatinga,BAHIA,Piatã,0.6900000000,2024.0000000000,2024/01/01,2023/04/27,2023/06/17,2024/04/30,agriculture -"1227291",{SAD-CAATINGA},Caatinga,BAHIA,Cotegipe,23.9700000000,2024.0000000000,2024/01/01,2023/08/12,2023/10/17,2024/04/30,agriculture -"1226810",{SAD-CAATINGA},Caatinga,BAHIA,Jeremoabo,7.5600000000,2024.0000000000,2024/01/01,2023/01/26,2023/10/28,2024/04/30,agriculture -"1226805",{SAD-CAATINGA},Caatinga,BAHIA,Riacho de Santana,48.9300000000,2024.0000000000,2024/01/01,2022/02/27,2023/04/01,2024/04/30,agriculture -"1226750",{SAD-CAATINGA},Caatinga,BAHIA,Jeremoabo,11.0400000000,2024.0000000000,2024/01/01,2023/04/14,2024/01/20,2024/04/30,agriculture -"1226744",{SAD-CAATINGA},Caatinga,BAHIA,Mundo Novo,1.3300000000,2024.0000000000,2024/01/01,2023/04/19,2024/01/08,2024/04/30,agriculture 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-"1260884",{DETER-CERRADO},Cerrado,BAHIA,Correntina,90.2000000000,2024.0000000000,2024/05/08,2023/12/14,2024/05/15,2024/08/12,agriculture -"1260270",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,57.2500000000,2024.0000000000,2024/05/08,2024/04/14,2024/06/25,2024/08/12,agriculture -"1260269",{DETER-CERRADO},Cerrado,BAHIA,Cristópolis,7.1200000000,2024.0000000000,2024/06/01,2024/03/17,2024/04/28,2024/08/12,agriculture -"1222340",{SAD-CAATINGA},Caatinga,BAHIA,Pindobaçu,139.9900000000,2024.0000000000,2024/01/01,2023/01/26,2024/01/13,2024/04/30,agriculture -"1221953",{SAD-CAATINGA},Caatinga,BAHIA,Ribeira do Pombal,33.7000000000,2024.0000000000,2024/01/01,2023/04/21,2024/01/31,2024/04/30,agriculture -"1221926",{SAD-CAATINGA},Caatinga,BAHIA,Crisópolis,10.0800000000,2024.0000000000,2024/01/01,2022/12/13,2024/02/17,2024/04/30,agriculture -"1221851",{SAD-CAATINGA},Caatinga,BAHIA,Coronel João Sá,14.3700000000,2024.0000000000,2024/01/01,2023/11/13,2024/02/28,2024/04/30,agriculture -"1221547",{SAD-CAATINGA},Caatinga,BAHIA,Itiúba,5.3200000000,2024.0000000000,2024/01/01,2023/07/14,2024/01/14,2024/04/30,agriculture -"1221546",{SAD-CAATINGA},Caatinga,BAHIA,Monte Santo,3.2200000000,2024.0000000000,2024/01/01,2023/08/27,2024/01/31,2024/04/30,agriculture -"1261563",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,78.3100000000,2024.0000000000,2024/06/01,2024/05/03,2024/06/29,2024/08/12,agriculture -"1261762",{SAD-CERRADO},Cerrado,BAHIA,Barreiras,21.4500000000,2024.0000000000,2024/05/01,2024/03/09,2024/05/28,2024/08/12,agriculture -"1263981",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,123.0100000000,2024.0000000000,2024/05/01,2024/05/03,2024/06/29,2024/08/12,agriculture -"1263955",{SAD-CERRADO},Cerrado,BAHIA,Catolândia,12.5900000000,2024.0000000000,2024/06/01,2024/02/13,2024/06/27,2024/08/12,agriculture -"1263872",{SAD-CERRADO},Cerrado,BAHIA,Catolândia,88.3400000000,2024.0000000000,2024/06/01,2024/05/03,2024/08/26,2024/08/12,agriculture -"1263844",{SAD-CERRADO},Cerrado,BAHIA,Correntina,35.9600000000,2024.0000000000,2024/06/01,2024/05/08,2024/06/27,2024/08/12,agriculture -"1260098",{DETER-CERRADO},Cerrado,BAHIA,Cocos,125.6500000000,2024.0000000000,2024/06/01,2024/05/01,2024/06/12,2024/08/12,agriculture -"1259900",{DETER-CERRADO},Cerrado,BAHIA,Cotegipe,86.6600000000,2024.0000000000,2024/06/18,2024/05/31,2024/07/04,2024/08/12,agriculture -"1259789",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,266.2900000000,2024.0000000000,2024/06/24,2024/05/01,2024/08/18,2024/08/12,agriculture -"1259735",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,2.6600000000,2024.0000000000,2024/06/07,2024/04/30,2024/05/30,2024/08/12,agriculture -"1259681",{DETER-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,9.9500000000,2024.0000000000,2024/06/07,2024/05/09,2024/05/17,2024/08/12,agriculture -"1259676",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,6.9400000000,2024.0000000000,2024/06/01,2024/05/03,2024/06/28,2024/08/12,agriculture -"1259568",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,6.5300000000,2024.0000000000,2024/06/01,2024/05/17,2024/05/31,2024/08/12,agriculture -"1259540",{DETER-CERRADO},Cerrado,BAHIA,Igaporã,6.4800000000,2024.0000000000,2024/06/07,2024/04/18,2024/06/22,2024/08/12,agriculture -"1261860",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,54.4200000000,2024.0000000000,2024/04/01,2024/02/05,2024/05/28,2024/08/12,agriculture -"1263525",{SAD-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,11.6300000000,2024.0000000000,2024/05/01,2024/03/09,2024/05/28,2024/08/12,agriculture -"1259410",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,51.1300000000,2024.0000000000,2024/05/03,2024/05/31,2024/06/20,2024/08/12,agriculture -"1259271",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,6.0300000000,2024.0000000000,2024/05/28,2024/04/25,2024/05/28,2024/08/12,agriculture -"1259059",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,9.4200000000,2024.0000000000,2024/05/24,2023/12/25,2024/03/25,2024/08/12,agriculture -"1262193",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,33.5500000000,2024.0000000000,2024/05/01,2024/02/13,2024/05/28,2024/08/12,agriculture -"1263920",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,25.0600000000,2024.0000000000,2024/04/01,2024/03/26,2024/05/05,2024/08/12,agriculture -"1264208",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,20.1900000000,2024.0000000000,2024/04/01,2024/02/05,2024/06/29,2024/08/12,agriculture -"1262375",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,8.3200000000,2024.0000000000,2024/06/01,2024/05/03,2024/06/27,2024/08/12,agriculture -"1262373",{SAD-CERRADO},Cerrado,BAHIA,Cristópolis,32.7600000000,2024.0000000000,2024/05/01,2024/05/05,2024/06/29,2024/08/12,agriculture -"1262519",{SAD-CERRADO},Cerrado,BAHIA,Barreiras,12.2600000000,2024.0000000000,2024/06/01,2023/12/05,2024/06/27,2024/08/12,agriculture -"1263441",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,8.9100000000,2024.0000000000,2024/06/01,2024/03/11,2024/06/29,2024/08/12,agriculture -"1263436",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,10.2400000000,2024.0000000000,2024/06/01,2024/05/03,2024/06/27,2024/08/12,agriculture -"1262781",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,61.2400000000,2024.0000000000,2024/03/01,2023/12/10,2024/06/22,2024/08/12,agriculture -"1262799",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,11.0000000000,2024.0000000000,2024/04/01,2024/03/09,2024/05/03,2024/08/12,agriculture -"1262919",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,44.3800000000,2024.0000000000,2024/06/01,2024/03/09,2024/06/27,2024/08/12,agriculture -"1263020",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,105.8100000000,2024.0000000000,2024/06/01,2024/04/08,2024/06/22,2024/08/12,agriculture -"1263043",{SAD-CERRADO},Cerrado,BAHIA,Cocos,13.4600000000,2024.0000000000,2024/04/01,2024/03/26,2024/05/30,2024/08/12,agriculture -"1260721",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,11.4200000000,2024.0000000000,2024/05/03,2024/05/01,2024/07/05,2024/08/12,agriculture -"1260490",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,212.9400000000,2024.0000000000,2024/05/24,2024/05/05,2024/08/16,2024/08/12,agriculture -"1259170",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,29.6200000000,2024.0000000000,2024/05/13,2023/11/28,2024/02/27,2024/08/12,agriculture -"1260240",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,282.2800000000,2024.0000000000,2024/05/03,2024/04/14,2024/05/28,2024/08/12,agriculture -"1258734",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,7.6200000000,2024.0000000000,2024/05/03,2023/09/08,2023/10/18,2024/08/12,agriculture -"1258556",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,2.2500000000,2024.0000000000,2024/05/24,2024/01/10,2024/05/28,2024/08/12,agriculture -"1258259",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,8.7400000000,2024.0000000000,2024/05/13,2024/06/10,2024/07/30,2024/08/12,agriculture -"1258190",{DETER-CERRADO},Cerrado,BAHIA,Coribe,7.1200000000,2024.0000000000,2024/05/24,2024/04/19,2024/07/11,2024/08/12,agriculture -"1258081",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,24.1700000000,2024.0000000000,2024/05/24,2024/04/14,2024/05/16,2024/08/12,agriculture -"1257882",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,3.0900000000,2024.0000000000,2024/05/03,2024/02/05,2024/03/03,2024/08/12,agriculture -"1257686",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,6.5300000000,2024.0000000000,2024/05/13,2024/03/25,2024/05/31,2024/08/12,agriculture -"1262068",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,25.4800000000,2024.0000000000,2024/03/01,2024/01/19,2024/05/28,2024/08/12,agriculture -"1261921",{SAD-CERRADO},Cerrado,BAHIA,Correntina,141.9800000000,2024.0000000000,2024/03/01,2024/04/03,2024/06/22,2024/08/12,agriculture -"1249450",{SAD-CAATINGA},Caatinga,BAHIA,Coronel João Sá,11.1500000000,2024.0000000000,2024/03/01,2023/08/26,2024/04/12,2024/08/12,agriculture -"1257893",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,4.9900000000,2024.0000000000,2024/05/03,2023/08/10,2024/05/01,2024/08/12,agriculture -"1257728",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,5.4100000000,2024.0000000000,2024/05/13,2024/04/15,2024/05/01,2024/08/12,agriculture -"1260588",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,19.6800000000,2024.0000000000,2024/06/14,2024/05/05,2024/07/29,2024/08/12,agriculture -"1273084",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,2.4200000000,2024.0000000000,2024/07/31,2024/04/09,2024/05/24,2024/08/16,agriculture -"1273441",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itambé,9.8400000000,2024.0000000000,2024/07/31,2024/02/14,2024/04/18,2024/08/16,agriculture -"1272652",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,22.5100000000,2024.0000000000,2024/07/31,2023/07/14,2024/07/18,2024/08/16,agriculture -"1272716",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,4.0600000000,2024.0000000000,2024/07/31,2024/04/07,2024/06/13,2024/08/16,agriculture -"1271942",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,0.7400000000,2024.0000000000,2024/07/31,2023/12/28,2024/04/07,2024/08/16,agriculture -"1272541",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Vitória da Conquista,3.2200000000,2024.0000000000,2024/07/31,2024/02/25,2024/04/18,2024/08/16,agriculture -"1272487",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.7400000000,2024.0000000000,2024/07/31,2024/02/01,2024/06/30,2024/08/16,agriculture -"1272462",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,13.0800000000,2024.0000000000,2024/07/31,2023/12/11,2024/08/08,2024/08/16,agriculture -"1272445",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,5.5000000000,2024.0000000000,2024/07/31,2023/07/13,2024/05/14,2024/08/16,agriculture -"1272107",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ilhéus,1.2500000000,2024.0000000000,2024/07/31,2024/02/15,2024/05/16,2024/08/16,agriculture -"1272026",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Catu,0.6200000000,2024.0000000000,2024/07/31,2024/02/25,2024/06/14,2024/08/16,agriculture -"1272638",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Taperoá,3.5600000000,2024.0000000000,2024/07/31,2024/01/10,2024/03/11,2024/08/16,agriculture -"1272282",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,2.2400000000,2024.0000000000,2024/07/31,2024/01/02,2024/05/19,2024/08/16,agriculture -"1271473",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,8.4800000000,2024.0000000000,2024/07/31,2024/01/12,2024/04/26,2024/08/16,agriculture -"1271912",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,0.8900000000,2024.0000000000,2024/07/31,2024/01/15,2024/04/18,2024/08/16,agriculture -"1271759",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,0.2800000000,2024.0000000000,2024/07/31,2024/04/07,2024/05/14,2024/08/16,agriculture -"1271824",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,1.0300000000,2024.0000000000,2024/07/31,2024/02/29,2024/03/22,2024/08/16,agriculture -"1271811",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,1.0400000000,2024.0000000000,2024/07/31,2024/02/06,2024/03/11,2024/08/16,agriculture -"1271741",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,2.5400000000,2024.0000000000,2024/07/31,2024/03/09,2024/04/26,2024/08/16,agriculture -"1271612",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Arataca,1.2200000000,2024.0000000000,2024/07/31,2024/01/30,2024/05/13,2024/08/16,agriculture -"1271648",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Igrapiúna,0.5500000000,2024.0000000000,2024/07/31,2024/04/19,2024/05/14,2024/08/16,agriculture -"1271479",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,3.0600000000,2024.0000000000,2024/07/31,2024/02/29,2024/04/12,2024/08/16,agriculture -"1271506",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Cruz Cabrália,0.6300000000,2024.0000000000,2024/07/31,2024/04/17,2024/05/19,2024/08/16,agriculture -"1270855",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,0.7500000000,2024.0000000000,2024/07/31,2024/02/02,2024/03/21,2024/08/16,agriculture -"1270906",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caatiba,3.8000000000,2024.0000000000,2024/07/31,2024/01/30,2024/03/16,2024/08/16,agriculture -"1271463",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,2.7500000000,2024.0000000000,2024/07/31,2024/03/01,2024/05/13,2024/08/16,agriculture -"1271335",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,1.1900000000,2024.0000000000,2024/07/31,2024/01/03,2024/03/24,2024/08/16,agriculture -"1271219",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,0.7100000000,2024.0000000000,2024/07/31,2024/03/19,2024/05/19,2024/08/16,agriculture -"1271137",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Eunápolis,2.6700000000,2024.0000000000,2024/07/31,2023/12/30,2024/03/18,2024/08/16,agriculture -"1271000",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Iguaí,10.1800000000,2024.0000000000,2024/07/31,2024/03/21,2024/06/29,2024/08/16,agriculture -"1270961",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.9400000000,2024.0000000000,2024/07/31,2024/03/01,2024/05/13,2024/08/16,agriculture -"1270938",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Taperoá,0.8300000000,2024.0000000000,2024/07/31,2024/03/01,2024/06/30,2024/08/16,agriculture -"1270899",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,8.3400000000,2024.0000000000,2024/07/31,2024/03/07,2024/08/21,2024/08/16,agriculture -"1270617",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,6.6600000000,2024.0000000000,2024/07/31,2024/03/31,2024/05/24,2024/08/16,agriculture -"1270698",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Vitória da Conquista,5.1700000000,2024.0000000000,2024/07/31,2024/03/07,2024/05/24,2024/08/16,agriculture -"1270161",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itarantim,5.3700000000,2024.0000000000,2024/07/31,2023/12/30,2024/03/18,2024/08/16,agriculture -"1270572",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Irajuba,2.7100000000,2024.0000000000,2024/07/31,2024/04/18,2024/05/13,2024/08/16,agriculture -"1270469",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Igrapiúna,0.5100000000,2024.0000000000,2024/07/31,2024/03/01,2024/04/19,2024/08/16,agriculture -"1270463",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nova Ibiá,8.0000000000,2024.0000000000,2024/07/31,2023/11/24,2024/05/13,2024/08/16,agriculture -"1270418",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,21.2500000000,2024.0000000000,2024/07/31,2024/01/31,2024/07/03,2024/08/16,agriculture -"1270372",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belo Campo,2.9300000000,2024.0000000000,2024/07/31,2024/01/12,2024/07/12,2024/08/16,agriculture -"1270273",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itapebi,2.0300000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/29,2024/08/16,agriculture -"1270163",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Boa Nova,5.9200000000,2024.0000000000,2024/07/31,2024/02/28,2024/05/03,2024/08/16,agriculture -"1270185",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagi,0.8700000000,2024.0000000000,2024/07/31,2023/12/30,2024/06/28,2024/08/16,agriculture -"1270187",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Poções,2.0200000000,2024.0000000000,2024/07/31,2024/03/17,2024/05/02,2024/08/16,agriculture -"1269641",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Conde,3.8300000000,2024.0000000000,2024/07/31,2024/02/25,2024/03/25,2024/08/16,urban_expansion -"1270146",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jaguaquara,1.0600000000,2024.0000000000,2024/07/31,2024/01/30,2024/04/18,2024/08/16,agriculture -"1270140",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,0.5500000000,2024.0000000000,2024/07/31,2024/01/15,2024/02/15,2024/08/16,agriculture -"1269967",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Arataca,2.7300000000,2024.0000000000,2024/07/31,2023/11/22,2024/03/16,2024/08/16,agriculture -"1269980",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ubaíra,3.1600000000,2024.0000000000,2024/07/31,2024/03/16,2024/05/02,2024/08/16,agriculture -"1269966",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Inês,0.7200000000,2024.0000000000,2024/07/31,2024/03/10,2024/03/16,2024/08/16,agriculture -"1269642",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.6500000000,2024.0000000000,2024/07/31,2024/02/17,2024/05/10,2024/08/16,agriculture -"1269741",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,1.4500000000,2024.0000000000,2024/07/31,2024/01/30,2024/05/12,2024/08/16,agriculture -"1269744",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,53.4800000000,2024.0000000000,2024/07/31,2024/03/01,2024/04/18,2024/08/16,agriculture -"1269952",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,3.5300000000,2024.0000000000,2024/07/31,2023/12/30,2024/05/13,2024/08/16,agriculture -"1269623",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,8.1800000000,2024.0000000000,2024/07/31,2023/12/27,2024/03/10,2024/08/16,agriculture -"1268924",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Conde,2.8500000000,2024.0000000000,2024/07/31,2024/03/29,2024/05/06,2024/08/16,agriculture -"1269585",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itacaré,3.8400000000,2024.0000000000,2024/07/31,2024/03/11,2024/05/19,2024/08/16,agriculture -"1269540",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caravelas,0.7800000000,2024.0000000000,2024/07/31,2024/01/14,2024/03/01,2024/08/16,agriculture -"1269490",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jucuruçu,7.7900000000,2024.0000000000,2024/07/31,2023/12/22,2024/03/22,2024/08/16,agriculture -"1269390",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Mucuri,1.7900000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/14,2024/08/16,agriculture -"1269393",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Uruçuca,0.6300000000,2024.0000000000,2024/07/31,2023/06/22,2024/05/03,2024/08/16,agriculture -"1269166",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,25.5000000000,2024.0000000000,2024/07/31,2024/03/31,2024/07/18,2024/08/16,agriculture -"1269103",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabuna,3.0300000000,2024.0000000000,2024/07/31,2023/10/15,2024/05/24,2024/08/16,agriculture -"1268966",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,9.7700000000,2024.0000000000,2024/07/31,2023/12/30,2024/05/19,2024/08/16,agriculture -"1262768",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,11.4700000000,2024.0000000000,2024/03/01,2024/05/18,2024/06/12,2024/08/12,agriculture -"1270704",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,1.4200000000,2024.0000000000,2024/07/31,2024/01/12,2024/06/10,2024/08/16,agriculture -"1268231",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camaçari,3.8400000000,2024.0000000000,2024/07/31,2024/02/14,2024/04/19,2024/08/16,agriculture -"1268917",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Esplanada,2.1300000000,2024.0000000000,2024/07/31,2024/01/31,2024/06/29,2024/08/16,agriculture -"1268849",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Eunápolis,1.1400000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/25,2024/08/16,agriculture -"1268804",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,41.7400000000,2024.0000000000,2024/07/31,2024/01/12,2024/07/17,2024/08/16,agriculture -"1268729",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Taperoá,0.8200000000,2024.0000000000,2024/07/31,2023/12/25,2024/05/10,2024/08/16,agriculture -"1268694",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,0.8100000000,2024.0000000000,2024/07/31,2024/01/11,2024/03/21,2024/08/16,agriculture -"1268367",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Wenceslau Guimarães,0.5400000000,2024.0000000000,2024/07/31,2024/01/31,2024/03/02,2024/08/16,agriculture -"1268263",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camaçari,4.7200000000,2024.0000000000,2024/07/31,2023/09/07,2024/06/28,2024/08/16,agriculture -"1226109",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,7.5800000000,2024.0000000000,2024/02/01,2023/02/23,2024/02/03,2024/04/30,agriculture -"1223325",{SAD-CAATINGA},Caatinga,BAHIA,Itatim,45.7700000000,2024.0000000000,2024/01/01,2023/03/12,2024/01/31,2024/04/30,agriculture -"1222845",{SAD-CAATINGA},Caatinga,BAHIA,Caetanos,58.5900000000,2024.0000000000,2024/01/01,2023/03/30,2024/01/17,2024/04/30,agriculture -"1225139",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,11.0100000000,2024.0000000000,2024/02/01,2023/07/25,2024/03/06,2024/04/30,agriculture -"1260606",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,32.9500000000,2024.0000000000,2024/05/03,2023/12/05,2024/05/29,2024/08/12,agriculture -"1222813",{SAD-CAATINGA},Caatinga,BAHIA,Piritiba,3.4100000000,2024.0000000000,2024/01/01,2023/01/26,2024/01/31,2024/04/30,agriculture -"1227294",{SAD-CAATINGA},Caatinga,BAHIA,Nordestina,15.4600000000,2024.0000000000,2024/01/01,2023/07/14,2024/01/24,2024/04/30,agriculture -"1221268",{SAD-CAATINGA},Caatinga,BAHIA,Olindina,5.7200000000,2024.0000000000,2024/01/01,2023/01/29,2024/01/19,2024/04/30,agriculture -"1221670",{SAD-CAATINGA},Caatinga,BAHIA,Itapicuru,13.8000000000,2024.0000000000,2024/01/01,2023/07/22,2024/01/31,2024/04/30,agriculture -"1260786",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,20.2400000000,2024.0000000000,2024/06/14,2024/01/20,2024/07/30,2024/08/12,agriculture -"1260713",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,31.7200000000,2024.0000000000,2024/06/03,2023/12/25,2024/06/14,2024/08/12,agriculture -"1260485",{DETER-CERRADO},Cerrado,BAHIA,Cocos,251.5800000000,2024.0000000000,2024/06/07,2024/05/04,2024/07/28,2024/08/12,agriculture -"1260386",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,49.7900000000,2024.0000000000,2024/06/10,2024/05/16,2024/06/26,2024/08/12,agriculture -"1260100",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,599.0600000000,2024.0000000000,2024/06/24,2024/05/09,2024/07/20,2024/08/12,agriculture -"1260030",{DETER-CERRADO},Cerrado,BAHIA,Pindaí,8.7400000000,2024.0000000000,2024/06/19,2024/01/12,2024/04/26,2024/08/12,agriculture -"1259959",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,3.0700000000,2024.0000000000,2024/06/14,2024/02/05,2024/03/11,2024/08/12,agriculture -"1263636",{SAD-CERRADO},Cerrado,BAHIA,Coribe,29.0700000000,2024.0000000000,2024/06/01,2024/02/15,2024/06/29,2024/08/12,agriculture -"1263504",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,125.0800000000,2024.0000000000,2024/05/01,2023/12/05,2024/05/28,2024/08/12,agriculture -"1272416",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Arataca,2.2900000000,2024.0000000000,2024/07/31,2024/01/31,2024/03/31,2024/08/16,agriculture -"1272683",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santo Amaro,4.4100000000,2024.0000000000,2024/07/31,2024/03/15,2024/07/03,2024/08/16,urban_expansion -"1270971",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,3.6700000000,2024.0000000000,2024/07/31,2023/08/03,2024/05/19,2024/08/16,agriculture -"1270908",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Esplanada,7.7100000000,2024.0000000000,2024/07/31,2024/02/14,2024/05/24,2024/08/16,agriculture -"1269523",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itacaré,0.7000000000,2024.0000000000,2024/07/31,2023/10/29,2024/05/29,2024/08/16,agriculture -"1261745",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,6.7100000000,2024.0000000000,2024/03/01,2023/10/21,2024/03/09,2024/08/12,agriculture -"1261660",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,7.0500000000,2024.0000000000,2024/03/01,2024/01/19,2024/02/28,2024/08/12,agriculture -"1261635",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,33.8800000000,2024.0000000000,2024/03/01,2024/05/30,2024/08/28,2024/08/12,agriculture -"1271080",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itacaré,1.2200000000,2024.0000000000,2024/07/31,2024/01/15,2024/05/24,2024/08/16,agriculture -"1273400",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,4.4400000000,2024.0000000000,2024/07/31,2024/01/12,2024/06/13,2024/08/16,agriculture -"1273391",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,2.1000000000,2024.0000000000,2024/07/31,2023/10/26,2024/04/15,2024/08/16,agriculture -"1273117",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.3300000000,2024.0000000000,2024/07/31,2024/04/09,2024/05/13,2024/08/16,agriculture -"1272907",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,2.2600000000,2024.0000000000,2024/07/31,2024/01/31,2024/06/28,2024/08/16,agriculture -"1272890",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,3.4400000000,2024.0000000000,2024/07/31,2024/02/14,2024/06/25,2024/08/16,agriculture -"1272809",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,7.8700000000,2024.0000000000,2024/07/31,2023/12/31,2024/04/19,2024/08/16,agriculture -"1272750",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jaguaquara,1.7800000000,2024.0000000000,2024/07/31,2024/03/01,2024/05/24,2024/08/16,agriculture -"1272612",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Lafaiete Coutinho,3.5200000000,2024.0000000000,2024/07/31,2024/02/06,2024/03/12,2024/08/16,agriculture -"1272239",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caatiba,8.0100000000,2024.0000000000,2024/07/31,2023/12/01,2024/05/02,2024/08/16,agriculture -"1271722",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Catu,2.3900000000,2024.0000000000,2024/07/31,2024/03/18,2024/05/19,2024/08/16,agriculture -"1271500",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,4.1900000000,2024.0000000000,2024/07/31,2023/07/08,2024/05/06,2024/08/16,agriculture -"1231955",{DETER-CERRADO},Cerrado,BAHIA,São 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Atlântica,BAHIA,Camamu,2.7500000000,2023.0000000000,2023/02/28,2022/10/03,2023/02/05,2023/03/09,agriculture -"811804",{SAD-CAATINGA},Cerrado,BAHIA,Igaporã,2.7200000000,2022.0000000000,2022/12/01,2022/08/26,2022/12/28,2023/03/09,agriculture -"811727",{SAD-CAATINGA},Cerrado,BAHIA,Riachão das Neves,727.2400000000,2022.0000000000,2022/12/01,2022/09/10,2023/01/30,2023/03/09,agriculture -"809914",{SAD-CAATINGA},Cerrado,BAHIA,Santa Rita de Cássia,5.8900000000,2022.0000000000,2022/11/01,2022/05/30,2022/11/23,2023/03/09,agriculture -"809820",{SAD-CAATINGA},Cerrado,BAHIA,Santa Rita de Cássia,3.3100000000,2022.0000000000,2022/11/01,2022/06/17,2022/09/09,2023/03/09,agriculture -"805195",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Esplanada,4.1000000000,2023.0000000000,2023/02/28,2022/08/24,2023/02/06,2023/03/09,agriculture -"809746",{SAD-CAATINGA},Cerrado,BAHIA,Santa Rita de Cássia,5.3200000000,2022.0000000000,2022/11/01,2022/09/11,2022/09/15,2023/03/09,agriculture 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Preto,12.5700000000,2022.0000000000,2022/11/01,2022/06/03,2022/07/03,2023/03/09,agriculture -"809074",{SAD-CAATINGA},Cerrado,BAHIA,Santa Rita de Cássia,7.1600000000,2022.0000000000,2022/11/01,2022/01/22,2022/11/23,2023/03/09,agriculture -"809089",{SAD-CAATINGA},Cerrado,BAHIA,Riacho de Santana,6.3600000000,2022.0000000000,2022/11/01,2022/08/28,2022/10/18,2023/03/09,agriculture -"805017",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Catu,3.8800000000,2023.0000000000,2023/02/28,2022/08/02,2023/02/02,2023/03/09,agriculture -"805007",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Aporá,7.2400000000,2023.0000000000,2023/02/28,2022/07/06,2022/12/13,2023/03/09,agriculture -"807364",{SAD-CAATINGA},Cerrado,BAHIA,Macaúbas,0.6800000000,2022.0000000000,2022/10/01,2022/05/31,2022/06/18,2023/03/09,agriculture -"804984",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Teodoro Sampaio,11.3800000000,2023.0000000000,2023/02/28,2022/08/11,2023/03/16,2023/03/09,agriculture -"804972",{SAD-MATA-ATLANTICA},Mata 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Maria,9.3800000000,2023.0000000000,2023/01/28,2022/08/11,2022/12/17,2023/03/09,agriculture -"811758",{SAD-CAATINGA},Caatinga,BAHIA,Barra,0.4700000000,2022.0000000000,2022/12/01,2022/08/01,2022/10/23,2023/03/09,agriculture -"807046",{SAD-CAATINGA},Cerrado,BAHIA,Riachão das Neves,116.2000000000,2022.0000000000,2022/10/01,2022/10/28,2023/01/02,2023/03/09,agriculture -"804687",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jandaíra,2.4700000000,2023.0000000000,2023/01/28,2022/08/09,2022/09/29,2023/03/09,agriculture -"807765",{SAD-CAATINGA},Cerrado,BAHIA,Matina,2.1600000000,2022.0000000000,2022/11/01,2022/10/29,2022/12/29,2023/03/09,agriculture -"804619",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Dário Meira,5.9400000000,2023.0000000000,2023/01/28,2022/07/03,2022/12/12,2023/03/09,agriculture -"809641",{SAD-CAATINGA},Cerrado,BAHIA,Santa Rita de Cássia,2.9800000000,2022.0000000000,2022/11/01,2022/05/27,2022/08/21,2023/03/09,agriculture 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Lapa,2.0900000000,2022.0000000000,2022/03/01,2021/10/18,2022/01/14,2022/08/06,others -"615000",{SAD-CAATINGA},Caatinga,BAHIA,Biritinga,19.5100000000,2022.0000000000,2022/03/01,2021/03/07,2021/05/11,2022/08/06,others -"615146",{SAD-CAATINGA},Caatinga,BAHIA,Casa Nova,16.9600000000,2022.0000000000,2022/03/01,2022/02/09,2022/03/22,2022/08/06,others -"615152",{SAD-CAATINGA},Caatinga,BAHIA,Brumado,1.8600000000,2022.0000000000,2022/03/01,2021/05/07,2021/11/19,2022/08/06,others -"615267",{SAD-CAATINGA},Cerrado,BAHIA,Coribe,5.2600000000,2022.0000000000,2022/03/01,2021/12/16,2022/02/04,2022/08/06,agriculture -"615273",{SAD-CAATINGA},Caatinga,BAHIA,Morpará,3.1700000000,2022.0000000000,2022/03/01,2021/08/07,2021/10/30,2022/08/06,others -"615275",{SAD-CAATINGA},Caatinga,BAHIA,Serra do Ramalho,6.5100000000,2022.0000000000,2022/03/01,2022/02/24,2022/03/27,2022/08/06,others -"615341",{SAD-CAATINGA},Caatinga,BAHIA,Palmas de Monte Alto,3.5600000000,2022.0000000000,2022/03/01,2021/10/30,2021/11/25,2022/08/06,others -"615447",{SAD-CAATINGA},Caatinga,BAHIA,Malhada,25.6400000000,2022.0000000000,2022/03/01,2021/03/24,2022/03/04,2022/08/06,agriculture -"615490",{SAD-CAATINGA},Caatinga,BAHIA,Jeremoabo,8.9600000000,2022.0000000000,2022/03/01,2021/07/29,2022/05/13,2022/08/06,others -"615577",{SAD-CAATINGA},Caatinga,BAHIA,Novo Triunfo,13.9600000000,2022.0000000000,2022/03/01,2021/10/12,2022/03/22,2022/08/06,others -"615608",{SAD-CAATINGA},Caatinga,BAHIA,Brumado,1.7800000000,2022.0000000000,2022/03/01,2022/01/19,2022/03/26,2022/08/06,others -"615741",{SAD-CAATINGA},Cerrado,BAHIA,Coribe,23.2200000000,2022.0000000000,2022/03/01,2022/01/19,2022/03/14,2022/08/06,agriculture -"615798",{SAD-CAATINGA},Cerrado,BAHIA,Cotegipe,3.8400000000,2022.0000000000,2022/03/01,2022/01/14,2022/02/02,2022/08/06,agriculture 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Atlântica,BAHIA,Ilhéus,9.1300000000,2022.0000000000,2022/07/31,2021/08/09,2022/05/17,2022/09/28,agriculture -"627994",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,2.5100000000,2022.0000000000,2022/07/31,2022/01/05,2022/02/04,2022/09/28,agriculture -"629485",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,1.2000000000,2022.0000000000,2022/07/31,2022/02/24,2022/05/13,2022/09/28,agriculture -"700809",{SAD-CAATINGA},Caatinga,BAHIA,Xique-Xique,1.6600000000,2022.0000000000,2022/06/01,2022/05/02,2022/06/08,2022/10/27,others -"703890",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,178.7000000000,2022.0000000000,2022/09/03,2022/08/21,2022/10/01,2022/11/07,agriculture -"703998",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,40.2100000000,2022.0000000000,2022/09/06,2022/08/17,2022/10/12,2022/11/07,agriculture -"704015",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,36.2900000000,2022.0000000000,2022/09/16,2022/08/26,2022/09/06,2022/11/07,agriculture 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-"874652",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,698.4400000000,2023.0000000000,2023/02/23,2022/10/02,2023/04/26,2023/03/26,agriculture -"875034",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,193.5600000000,2023.0000000000,2023/01/18,2022/11/13,2023/03/09,2023/03/26,agriculture -"875504",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,916.8800000000,2023.0000000000,2023/01/18,2022/10/14,2023/03/24,2023/03/26,agriculture -"875434",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,26.4700000000,2023.0000000000,2023/02/03,2022/08/02,2023/02/26,2023/03/26,agriculture -"874976",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,339.1600000000,2023.0000000000,2023/02/07,2022/12/13,2023/01/31,2023/03/26,agriculture -"874886",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,29.1700000000,2023.0000000000,2023/01/18,2019/07/18,2019/11/09,2023/03/26,agriculture -"875199",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,317.3200000000,2023.0000000000,2023/01/01,2022/06/10,2023/04/25,2023/03/26,agriculture 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-"887903",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,268.3600000000,2023.0000000000,2023/04/15,2023/03/04,2023/05/27,2023/05/19,agriculture -"888927",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,237.9200000000,2023.0000000000,2023/03/30,2023/02/13,2023/04/27,2023/05/19,agriculture -"887814",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,91.6300000000,2023.0000000000,2023/03/11,2022/09/28,2023/05/26,2023/05/19,agriculture -"887779",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,150.8400000000,2023.0000000000,2023/03/08,2022/01/22,2022/12/31,2023/05/19,agriculture -"888994",{DETER-CERRADO},Cerrado,BAHIA,Correntina,73.0800000000,2023.0000000000,2023/04/15,2023/01/02,2023/05/25,2023/05/19,agriculture -"888992",{DETER-CERRADO},Cerrado,BAHIA,Correntina,84.6600000000,2023.0000000000,2023/03/26,2023/01/17,2023/04/27,2023/05/19,agriculture -"888697",{DETER-CERRADO},Cerrado,BAHIA,Cocos,219.4400000000,2023.0000000000,2023/04/21,2023/01/02,2023/05/22,2023/05/19,agriculture -"888660",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,213.2300000000,2023.0000000000,2023/03/03,2023/01/01,2023/05/25,2023/05/19,agriculture -"888580",{DETER-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,15.0800000000,2023.0000000000,2023/04/15,2023/01/10,2023/05/22,2023/05/19,agriculture -"888539",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,11.4600000000,2023.0000000000,2023/04/15,2023/01/01,2023/04/26,2023/05/19,agriculture -"888152",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,552.7000000000,2023.0000000000,2023/03/30,2023/02/11,2023/05/09,2023/05/19,agriculture -"888367",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,33.9600000000,2023.0000000000,2023/04/27,2023/01/17,2023/05/23,2023/05/19,agriculture -"888276",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,40.6300000000,2023.0000000000,2023/03/08,2023/01/31,2023/04/16,2023/05/19,agriculture -"889074",{DETER-CERRADO},Cerrado,BAHIA,Correntina,237.4300000000,2023.0000000000,2023/03/23,2022/10/28,2023/05/18,2023/05/19,agriculture -"889087",{DETER-CERRADO},Cerrado,BAHIA,Correntina,85.3800000000,2023.0000000000,2023/03/14,2022/09/07,2023/03/30,2023/05/19,agriculture -"889077",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,67.0900000000,2023.0000000000,2023/03/30,2022/10/18,2023/05/20,2023/05/19,agriculture -"888996",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,54.9600000000,2023.0000000000,2023/04/15,2023/01/17,2023/05/30,2023/05/19,agriculture -"888990",{DETER-CERRADO},Cerrado,BAHIA,Canápolis,118.2100000000,2023.0000000000,2023/04/15,2023/01/17,2023/05/18,2023/05/19,agriculture -"883210",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,1.1300000000,2023.0000000000,2023/04/30,2023/01/01,2023/03/19,2023/05/18,agriculture -"888942",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,125.1900000000,2023.0000000000,2023/04/15,2022/11/13,2023/04/27,2023/05/19,agriculture -"883104",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Macarani,21.9200000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/20,2023/05/18,agriculture -"888515",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,102.7100000000,2023.0000000000,2023/04/29,2023/02/22,2023/05/05,2023/05/19,agriculture -"887883",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,26.4600000000,2023.0000000000,2023/04/27,2023/03/06,2023/05/06,2023/05/19,agriculture -"887788",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,995.1100000000,2023.0000000000,2023/03/30,2023/01/02,2023/04/18,2023/05/19,agriculture -"883231",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,15.0100000000,2023.0000000000,2023/04/30,2023/01/01,2023/05/19,2023/05/18,agriculture -"883631",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabela,2.4600000000,2023.0000000000,2023/04/30,2023/01/23,2023/03/30,2023/05/18,agriculture -"882940",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Planalto,29.5500000000,2023.0000000000,2023/04/30,2022/12/21,2023/03/30,2023/05/18,agriculture -"882913",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,9.7000000000,2023.0000000000,2023/04/30,2023/01/26,2023/03/30,2023/05/18,agriculture -"882881",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,3.0800000000,2023.0000000000,2023/04/30,2023/01/25,2023/02/18,2023/05/18,agriculture -"882897",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,7.1000000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/15,2023/05/18,agriculture -"881990",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ilhéus,2.4300000000,2023.0000000000,2023/04/30,2023/02/23,2023/04/25,2023/05/18,agriculture -"881957",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Lajedo do Tabocal,9.9400000000,2023.0000000000,2023/04/30,2022/10/04,2023/04/16,2023/05/18,agriculture -"881941",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,2.3400000000,2023.0000000000,2023/04/30,2022/12/13,2023/02/02,2023/05/18,agriculture -"881994",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Wenceslau Guimarães,2.5400000000,2023.0000000000,2023/04/30,2023/01/28,2023/04/13,2023/05/18,agriculture -"881928",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,São Sebastião do Passé,6.4800000000,2023.0000000000,2023/04/30,2023/02/18,2023/04/19,2023/05/18,agriculture -"881922",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,14.5100000000,2023.0000000000,2023/04/30,2023/02/05,2023/03/31,2023/05/18,agriculture -"881917",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Catu,5.7100000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/20,2023/05/18,agriculture -"889080",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,83.2600000000,2023.0000000000,2023/03/29,2023/01/10,2023/04/26,2023/05/19,agriculture -"888979",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,350.6700000000,2023.0000000000,2023/04/12,2023/02/10,2023/05/30,2023/05/19,agriculture -"888898",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,21.0800000000,2023.0000000000,2023/03/31,2022/06/01,2023/05/07,2023/05/19,agriculture -"888833",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,19.9800000000,2023.0000000000,2023/04/27,2022/02/25,2023/03/24,2023/05/19,agriculture -"888633",{DETER-CERRADO},Cerrado,BAHIA,Caetité,6.4400000000,2023.0000000000,2023/03/09,2022/07/31,2022/12/28,2023/05/19,agriculture -"888561",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,235.8200000000,2023.0000000000,2023/04/15,2023/03/10,2023/05/22,2023/05/19,agriculture -"888558",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,84.8700000000,2023.0000000000,2023/04/29,2023/01/31,2023/05/21,2023/05/19,agriculture -"888529",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,22.5800000000,2023.0000000000,2023/04/27,2023/01/10,2023/04/02,2023/05/19,agriculture -"888528",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,17.0200000000,2023.0000000000,2023/04/18,2023/01/31,2023/04/28,2023/05/19,agriculture -"888344",{DETER-CERRADO},Cerrado,BAHIA,Catolândia,30.6000000000,2023.0000000000,2023/04/29,2023/03/10,2023/04/14,2023/05/19,agriculture -"888399",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,36.1500000000,2023.0000000000,2023/03/03,2022/06/29,2023/05/16,2023/05/19,agriculture -"888305",{DETER-CERRADO},Cerrado,BAHIA,Cristópolis,93.1700000000,2023.0000000000,2023/03/06,2022/05/22,2023/06/01,2023/05/19,agriculture -"888259",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,21.2200000000,2023.0000000000,2023/03/08,2022/10/20,2023/02/11,2023/05/19,agriculture -"888710",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,26.5300000000,2023.0000000000,2023/04/18,2022/10/18,2023/01/10,2023/05/19,agriculture -"888693",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,29.4900000000,2023.0000000000,2023/04/15,2022/05/10,2022/09/30,2023/05/19,agriculture -"888579",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,614.6100000000,2023.0000000000,2023/04/18,2022/10/01,2023/05/20,2023/05/19,agriculture -"888453",{DETER-CERRADO},Cerrado,BAHIA,Correntina,9.2900000000,2023.0000000000,2023/04/27,2023/01/24,2023/03/09,2023/05/19,agriculture -"883317",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Mata de São João,7.2500000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/11,2023/05/18,agriculture -"883281",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Rio Real,1.4900000000,2023.0000000000,2023/04/30,2023/03/03,2023/04/19,2023/05/18,agriculture -"883256",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Pojuca,14.6200000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/19,2023/05/18,agriculture -"883239",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caatiba,0.6500000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/20,2023/05/18,agriculture -"883012",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Cruz da Vitória,1.5700000000,2023.0000000000,2023/04/30,2022/09/14,2023/04/20,2023/05/18,agriculture -"882919",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,2.0800000000,2023.0000000000,2023/04/30,2023/02/05,2023/03/15,2023/05/18,agriculture -"882827",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,2.6300000000,2023.0000000000,2023/04/30,2023/01/14,2023/03/31,2023/05/18,agriculture -"882844",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabela,0.5900000000,2023.0000000000,2023/04/30,2023/02/15,2023/03/30,2023/05/18,agriculture -"882834",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Mascote,3.7700000000,2023.0000000000,2023/04/30,2022/10/05,2023/03/30,2023/05/18,agriculture -"882805",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Maracás,7.8100000000,2023.0000000000,2023/04/30,2023/02/05,2023/04/15,2023/05/18,agriculture -"882800",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,1.5600000000,2023.0000000000,2023/04/30,2022/12/22,2023/02/20,2023/05/18,agriculture -"882697",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Inês,20.9600000000,2023.0000000000,2023/04/30,2023/01/27,2023/04/16,2023/05/18,agriculture -"882691",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,5.3500000000,2023.0000000000,2023/04/30,2023/01/29,2023/04/14,2023/05/18,agriculture -"882484",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Ribeirão do Largo,14.9700000000,2023.0000000000,2023/04/30,2022/10/04,2023/04/01,2023/05/18,agriculture -"888192",{DETER-CERRADO},Cerrado,BAHIA,Coribe,130.6800000000,2023.0000000000,2023/03/03,2023/01/17,2023/03/24,2023/05/19,agriculture -"888282",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,23.1000000000,2023.0000000000,2023/03/26,2023/01/25,2023/02/09,2023/05/19,agriculture -"882437",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,1.5400000000,2023.0000000000,2023/04/30,2023/02/06,2023/03/30,2023/05/18,agriculture -"888749",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,32.7900000000,2023.0000000000,2023/04/29,2022/10/02,2023/04/16,2023/05/19,agriculture -"888706",{DETER-CERRADO},Cerrado,BAHIA,Caetité,13.8700000000,2023.0000000000,2023/03/09,2022/12/11,2023/03/12,2023/05/19,agriculture -"882210",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cardeal da Silva,1.6400000000,2023.0000000000,2023/04/30,2023/01/25,2023/04/20,2023/05/18,agriculture -"882204",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itanagra,5.0500000000,2023.0000000000,2023/04/30,2023/01/29,2023/04/04,2023/05/18,agriculture -"882203",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Araçás,16.1800000000,2023.0000000000,2023/04/30,2023/01/30,2023/04/04,2023/05/18,agriculture -"882124",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,2.8100000000,2023.0000000000,2023/04/30,2023/01/01,2023/03/31,2023/05/18,agriculture -"874541",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,59.3600000000,2023.0000000000,2023/02/19,2022/12/12,2023/03/05,2023/03/26,agriculture -"881886",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,3.8200000000,2023.0000000000,2023/04/30,2023/02/12,2023/03/30,2023/05/18,agriculture -"882106",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itanagra,9.2700000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/19,2023/05/18,agriculture -"881852",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,5.6100000000,2023.0000000000,2023/04/30,2022/12/12,2023/03/30,2023/05/18,agriculture -"883376",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Vereda,0.9000000000,2023.0000000000,2023/04/30,2023/02/10,2023/03/30,2023/05/18,agriculture -"883628",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alagoinhas,1.2100000000,2023.0000000000,2023/04/30,2022/10/04,2023/02/18,2023/05/18,agriculture -"883557",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jucuruçu,3.5100000000,2023.0000000000,2023/04/30,2023/02/06,2023/03/30,2023/05/18,agriculture -"883325",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Água Fria,5.7100000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/15,2023/05/18,agriculture -"883577",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Entre Rios,2.4000000000,2023.0000000000,2023/04/30,2022/12/13,2023/04/19,2023/05/18,agriculture -"883372",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagibá,4.5700000000,2023.0000000000,2023/04/30,2023/01/23,2023/04/16,2023/05/18,agriculture -"883244",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Macarani,12.3500000000,2023.0000000000,2023/04/30,2023/01/31,2023/04/20,2023/05/18,agriculture -"883127",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itapetinga,23.0300000000,2023.0000000000,2023/04/30,2023/01/18,2023/04/20,2023/05/18,agriculture -"883110",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caravelas,3.7400000000,2023.0000000000,2023/04/30,2022/12/20,2023/02/28,2023/05/18,agriculture -"883291",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cardeal da Silva,3.6300000000,2023.0000000000,2023/04/30,2023/01/25,2023/04/20,2023/05/18,agriculture -"888136",{DETER-CERRADO},Cerrado,BAHIA,Cotegipe,145.3000000000,2023.0000000000,2023/03/29,2022/12/12,2023/03/05,2023/05/19,agriculture -"882397",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Lajedo do Tabocal,0.3900000000,2023.0000000000,2023/04/30,2023/02/03,2023/03/09,2023/05/18,agriculture -"882422",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itiruçu,12.5500000000,2023.0000000000,2023/04/30,2022/10/04,2023/03/09,2023/05/18,agriculture -"888082",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,223.7500000000,2023.0000000000,2023/03/08,2022/06/11,2023/02/10,2023/05/19,agriculture -"888253",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,127.1300000000,2023.0000000000,2023/03/08,2023/02/14,2023/05/20,2023/05/19,agriculture -"888113",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,228.2500000000,2023.0000000000,2023/03/29,2023/02/11,2023/03/24,2023/05/19,agriculture -"887902",{DETER-CERRADO},Cerrado,BAHIA,Tanque Novo,4.5000000000,2023.0000000000,2023/03/17,2022/02/01,2022/06/07,2023/05/19,agriculture -"882402",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Pau Brasil,72.0400000000,2023.0000000000,2023/04/30,2022/08/11,2023/04/20,2023/05/18,agriculture -"887801",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,71.7000000000,2023.0000000000,2023/03/30,2022/03/26,2023/03/28,2023/05/19,agriculture -"887910",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,14.7800000000,2023.0000000000,2023/04/29,2023/03/28,2023/04/20,2023/05/19,agriculture -"887762",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,30.5100000000,2023.0000000000,2023/04/15,2022/09/14,2023/02/13,2023/05/19,agriculture -"887820",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,17.1100000000,2023.0000000000,2023/03/03,2022/10/22,2022/12/11,2023/05/19,agriculture -"887606",{DETER-CERRADO},Cerrado,BAHIA,Catolândia,45.7900000000,2023.0000000000,2023/04/29,2023/01/31,2023/05/31,2023/05/19,agriculture -"888967",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,536.2900000000,2023.0000000000,2023/04/15,2023/01/17,2023/05/19,2023/05/19,agriculture -"888988",{DETER-CERRADO},Cerrado,BAHIA,Correntina,979.6200000000,2023.0000000000,2023/03/17,2023/03/04,2023/05/03,2023/05/19,agriculture -"888873",{DETER-CERRADO},Cerrado,BAHIA,Caetité,9.3000000000,2023.0000000000,2023/03/09,2022/04/14,2023/03/25,2023/05/19,agriculture -"888941",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,318.4200000000,2023.0000000000,2023/03/30,2023/03/04,2023/05/11,2023/05/19,agriculture -"888853",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,10.8400000000,2023.0000000000,2023/03/11,2022/07/17,2022/11/13,2023/05/19,agriculture -"888776",{DETER-CERRADO},Cerrado,BAHIA,Barreiras,50.2500000000,2023.0000000000,2023/04/29,2023/02/10,2023/04/26,2023/05/19,agriculture -"888685",{DETER-CERRADO},Cerrado,BAHIA,Brejolândia,45.4900000000,2023.0000000000,2023/04/27,2022/09/16,2023/01/01,2023/05/19,agriculture -"888648",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,11.0500000000,2023.0000000000,2023/04/29,2023/03/09,2023/03/30,2023/05/19,agriculture -"888621",{DETER-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,41.5000000000,2023.0000000000,2023/03/02,2022/10/01,2023/05/18,2023/05/19,agriculture -"888023",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,21.8700000000,2023.0000000000,2023/04/24,2023/02/10,2023/04/20,2023/05/19,agriculture -"888211",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,252.1400000000,2023.0000000000,2023/04/26,2023/01/17,2023/05/29,2023/05/19,agriculture -"888947",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,723.4500000000,2023.0000000000,2023/03/29,2023/02/12,2023/06/02,2023/05/19,agriculture -"883535",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,3.2700000000,2023.0000000000,2023/04/30,2022/12/20,2023/04/15,2023/05/18,agriculture -"887959",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,254.9200000000,2023.0000000000,2023/03/11,2022/06/10,2023/03/10,2023/05/19,agriculture -"887822",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,448.2500000000,2023.0000000000,2023/04/29,2022/12/08,2023/03/30,2023/05/19,agriculture -"887478",{DETER-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,162.6400000000,2023.0000000000,2023/03/06,2022/12/12,2023/03/31,2023/05/19,agriculture -"889076",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,345.8300000000,2023.0000000000,2023/03/14,2022/08/06,2023/05/30,2023/05/19,agriculture -"888867",{DETER-CERRADO},Cerrado,BAHIA,Jaborandi,348.8700000000,2023.0000000000,2023/04/29,2022/10/18,2023/02/25,2023/05/19,agriculture -"887574",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,150.1100000000,2023.0000000000,2023/04/29,2023/02/10,2023/05/05,2023/05/19,agriculture -"888959",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,343.9200000000,2023.0000000000,2023/03/11,2023/02/15,2023/05/08,2023/05/19,agriculture -"888725",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,534.4800000000,2023.0000000000,2023/04/15,2022/10/07,2023/04/15,2023/05/19,agriculture -"889067",{DETER-CERRADO},Cerrado,BAHIA,Cocos,1181.9600000000,2023.0000000000,2023/04/06,2022/10/19,2023/05/21,2023/05/19,agriculture -"881803",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Esplanada,1.4000000000,2023.0000000000,2023/04/30,2022/12/13,2023/03/05,2023/05/18,agriculture -"881804",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alcobaça,0.6700000000,2023.0000000000,2023/04/30,2023/02/03,2023/04/15,2023/05/18,agriculture -"881761",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itambé,6.9400000000,2023.0000000000,2023/04/30,2022/12/12,2023/04/01,2023/05/18,agriculture -"888287",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,125.7900000000,2023.0000000000,2023/04/18,2022/05/12,2023/03/24,2023/05/19,agriculture -"882760",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Salvador,1.0900000000,2023.0000000000,2023/04/30,2023/02/14,2023/04/13,2023/05/18,agriculture -"888751",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,2248.2600000000,2023.0000000000,2023/04/26,2022/10/01,2023/05/22,2023/05/19,agriculture -"889072",{DETER-CERRADO},Cerrado,BAHIA,Cocos,2204.0400000000,2023.0000000000,2023/04/15,2023/02/03,2023/03/30,2023/05/19,agriculture -"889008",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,617.1300000000,2023.0000000000,2023/03/11,2023/01/17,2023/06/03,2023/05/19,agriculture -"927088",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,5.6900000000,2023.0000000000,2023/03/01,2023/02/13,2023/04/14,2023/06/13,agriculture -"894727",{SAD-CAATINGA},Caatinga,BAHIA,Jussara,10.5700000000,2023.0000000000,2023/01/01,2022/05/07,2022/12/19,2023/06/07,others -"891431",{SAD-CAATINGA},Caatinga,BAHIA,Paramirim,13.2200000000,2023.0000000000,2023/01/01,2022/08/17,2023/01/28,2023/06/07,others -"891433",{SAD-CAATINGA},Caatinga,BAHIA,Licínio de Almeida,2.3100000000,2023.0000000000,2023/01/01,2022/01/18,2023/01/30,2023/06/07,others -"891571",{SAD-CAATINGA},Caatinga,BAHIA,Barra,0.9200000000,2023.0000000000,2023/01/01,2022/02/17,2023/01/31,2023/06/07,others -"891460",{SAD-CAATINGA},Caatinga,BAHIA,Riacho de Santana,11.2500000000,2023.0000000000,2023/01/01,2022/05/24,2023/01/31,2023/06/07,others -"891446",{SAD-CAATINGA},Caatinga,BAHIA,Caetité,3.6700000000,2023.0000000000,2023/01/01,2022/05/04,2023/01/30,2023/06/07,others -"891443",{SAD-CAATINGA},Caatinga,BAHIA,Urandi,3.3800000000,2023.0000000000,2023/01/01,2022/03/19,2023/01/28,2023/06/07,others -"891463",{SAD-CAATINGA},Caatinga,BAHIA,Riacho de Santana,4.2200000000,2023.0000000000,2023/01/01,2022/02/18,2023/02/13,2023/06/07,others -"891448",{SAD-CAATINGA},Caatinga,BAHIA,Caturama,16.9100000000,2023.0000000000,2023/01/01,2022/04/05,2023/01/28,2023/06/07,others -"915799",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,1.8400000000,2023.0000000000,2023/05/31,2023/01/12,2023/03/30,2023/06/12,agriculture -"915764",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Cruz Cabrália,8.9800000000,2023.0000000000,2023/05/31,2023/02/14,2023/06/05,2023/06/12,agriculture -"915478",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,3.4000000000,2023.0000000000,2023/05/31,2023/02/02,2023/06/06,2023/06/12,agriculture -"915465",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Belmonte,50.9800000000,2023.0000000000,2023/05/31,2023/01/01,2023/05/19,2023/06/12,agriculture -"915502",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,6.1700000000,2023.0000000000,2023/05/31,2023/02/13,2023/04/18,2023/06/12,agriculture -"914929",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,1.2500000000,2023.0000000000,2023/05/31,2023/01/24,2023/03/30,2023/06/12,agriculture -"915129",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,0.9200000000,2023.0000000000,2023/05/31,2023/02/15,2023/06/05,2023/06/12,agriculture -"915094",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alcobaça,5.0700000000,2023.0000000000,2023/05/31,2023/03/14,2023/06/03,2023/06/12,agriculture -"915091",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,1.1000000000,2023.0000000000,2023/05/31,2023/02/06,2023/03/30,2023/06/12,agriculture -"914951",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,6.4100000000,2023.0000000000,2023/05/31,2022/08/11,2023/04/01,2023/06/12,agriculture -"914979",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nova Viçosa,0.2800000000,2023.0000000000,2023/05/31,2023/01/31,2023/02/23,2023/06/12,urban_expansion -"914859",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,2.5600000000,2023.0000000000,2023/05/31,2023/01/23,2023/05/19,2023/06/12,agriculture -"914827",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itanhém,1.0200000000,2023.0000000000,2023/05/31,2023/02/08,2023/03/30,2023/06/12,agriculture -"914777",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,25.4600000000,2023.0000000000,2023/05/31,2022/12/12,2023/04/28,2023/06/12,agriculture -"914376",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alcobaça,1.2900000000,2023.0000000000,2023/05/31,2022/09/23,2023/03/30,2023/06/12,agriculture -"914296",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jequié,2.5400000000,2023.0000000000,2023/05/31,2023/01/23,2023/04/20,2023/06/12,agriculture -"914193",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nilo Peçanha,1.1300000000,2023.0000000000,2023/05/31,2023/02/01,2023/04/18,2023/06/12,agriculture -"914100",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nova Viçosa,4.9600000000,2023.0000000000,2023/05/31,2023/01/22,2023/04/01,2023/06/12,agriculture -"914109",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,3.4600000000,2023.0000000000,2023/05/31,2023/02/18,2023/05/29,2023/06/12,agriculture -"914070",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,0.7200000000,2023.0000000000,2023/05/31,2022/12/08,2023/01/13,2023/06/12,agriculture -"914060",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Maraú,0.8100000000,2023.0000000000,2023/05/31,2023/03/15,2023/05/31,2023/06/12,agriculture -"914196",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Una,2.5100000000,2023.0000000000,2023/05/31,2023/01/18,2023/05/11,2023/06/12,agriculture -"914012",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Prado,1.7500000000,2023.0000000000,2023/05/31,2023/02/02,2023/04/01,2023/06/12,urban_expansion -"914032",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,26.8100000000,2023.0000000000,2023/05/31,2022/12/12,2023/04/27,2023/06/12,agriculture -"913893",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,3.1700000000,2023.0000000000,2023/05/31,2023/01/23,2023/03/30,2023/06/12,agriculture -"913942",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jandaíra,0.2300000000,2023.0000000000,2023/05/31,2023/02/08,2023/02/19,2023/06/12,agriculture -"913928",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Coração de Maria,2.2900000000,2023.0000000000,2023/05/31,2023/02/15,2023/04/20,2023/06/12,agriculture -"889062",{DETER-CERRADO},Cerrado,BAHIA,Cotegipe,680.8400000000,2023.0000000000,2023/04/24,2023/02/14,2023/05/28,2023/05/19,agriculture -"889024",{DETER-CERRADO},Cerrado,BAHIA,Correntina,519.1600000000,2023.0000000000,2023/03/14,2023/04/16,2023/05/29,2023/05/19,agriculture -"887531",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,187.0200000000,2023.0000000000,2023/04/26,2023/03/11,2023/05/24,2023/05/19,agriculture -"913895",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Cruz Cabrália,1.0600000000,2023.0000000000,2023/05/31,2022/10/06,2023/02/02,2023/06/12,agriculture -"914589",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jucuruçu,3.9900000000,2023.0000000000,2023/05/31,2023/02/10,2023/03/30,2023/06/12,agriculture -"914353",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Rio Real,1.1200000000,2023.0000000000,2023/05/31,2023/01/25,2023/04/17,2023/06/12,agriculture -"914978",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,0.8700000000,2023.0000000000,2023/05/31,2023/01/23,2023/03/30,2023/06/12,agriculture -"914640",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,0.7400000000,2023.0000000000,2023/05/31,2023/03/30,2023/04/27,2023/06/12,agriculture -"914535",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,2.0300000000,2023.0000000000,2023/05/31,2023/03/30,2023/04/27,2023/06/12,agriculture -"914466",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Mutuípe,0.5800000000,2023.0000000000,2023/05/31,2022/12/03,2023/04/02,2023/06/12,agriculture -"914438",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camamu,6.4900000000,2023.0000000000,2023/05/31,2022/09/12,2023/04/19,2023/06/12,agriculture -"913880",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jequié,2.1200000000,2023.0000000000,2023/05/31,2023/02/06,2023/04/16,2023/06/12,agriculture -"914292",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Taperoá,2.2700000000,2023.0000000000,2023/05/31,2023/02/09,2023/04/19,2023/06/12,agriculture -"914227",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Santa Luzia,4.6800000000,2023.0000000000,2023/05/31,2023/01/23,2023/03/15,2023/06/12,agriculture -"905700",{SAD-CAATINGA},Mata Atlântica,BAHIA,Jequié,30.4700000000,2023.0000000000,2023/03/01,2023/02/04,2023/05/10,2023/06/12,agriculture -"911752",{SAD-CAATINGA},Mata 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Triunfo,1.8800000000,2023.0000000000,2023/01/01,2022/02/16,2023/01/26,2023/06/07,agriculture -"913731",{SAD-CAATINGA},Caatinga,BAHIA,Euclides da Cunha,3.4700000000,2023.0000000000,2023/04/01,2022/09/18,2023/03/06,2023/06/12,others -"913745",{SAD-CAATINGA},Caatinga,BAHIA,Cícero Dantas,2.5900000000,2023.0000000000,2023/04/01,2023/01/26,2023/04/14,2023/06/12,others -"891483",{SAD-CAATINGA},Caatinga,BAHIA,Condeúba,23.4200000000,2023.0000000000,2023/01/01,2022/01/13,2023/01/23,2023/06/07,others -"891490",{SAD-CAATINGA},Caatinga,BAHIA,Riacho de Santana,3.2400000000,2023.0000000000,2023/01/01,2022/02/27,2023/01/29,2023/06/07,others -"891492",{SAD-CAATINGA},Caatinga,BAHIA,Piatã,9.2900000000,2023.0000000000,2023/01/01,2022/07/29,2023/01/30,2023/06/07,others -"891494",{SAD-CAATINGA},Caatinga,BAHIA,Piatã,2.3200000000,2023.0000000000,2023/01/01,2022/03/15,2023/01/30,2023/06/07,others -"912982",{SAD-CAATINGA},Caatinga,BAHIA,Euclides da 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Seguro,1.0500000000,2023.0000000000,2023/07/31,2023/04/15,2023/05/19,2023/08/03,agriculture -"936077",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,3.6800000000,2023.0000000000,2023/07/31,2023/04/15,2023/06/03,2023/08/03,agriculture -"936307",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itamaraju,5.4000000000,2023.0000000000,2023/07/31,2022/07/25,2023/06/21,2023/08/03,agriculture -"935932",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Porto Seguro,1.8100000000,2023.0000000000,2023/07/31,2023/04/13,2023/06/06,2023/08/03,agriculture -"935879",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Prado,0.8200000000,2023.0000000000,2023/07/31,2023/04/07,2023/04/28,2023/08/03,agriculture -"935746",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Caravelas,3.1600000000,2023.0000000000,2023/07/31,2023/03/30,2023/05/02,2023/08/03,agriculture -"930260",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,0.2100000000,2023.0000000000,2023/05/05,2022/06/22,2023/03/10,2023/07/03,agriculture 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Vitorino,4.5300000000,2023.0000000000,2023/01/01,2022/03/12,2022/09/05,2023/06/07,agriculture -"891901",{SAD-CAATINGA},Caatinga,BAHIA,Várzea Nova,9.7100000000,2023.0000000000,2023/01/01,2022/12/08,2023/04/02,2023/06/07,agriculture -"891909",{SAD-CAATINGA},Caatinga,BAHIA,Sebastião Laranjeiras,13.3400000000,2023.0000000000,2023/01/01,2022/12/28,2023/01/28,2023/06/07,agriculture -"902527",{SAD-CAATINGA},Caatinga,BAHIA,Cocos,2.8100000000,2023.0000000000,2023/02/01,2022/08/23,2022/12/07,2023/06/12,agriculture -"902364",{SAD-CAATINGA},Caatinga,BAHIA,Seabra,1.7400000000,2023.0000000000,2023/02/01,2022/12/12,2023/02/05,2023/06/12,agriculture -"902035",{SAD-CAATINGA},Caatinga,BAHIA,Ituaçu,0.9400000000,2023.0000000000,2023/02/01,2023/01/27,2023/02/09,2023/06/12,agriculture -"891941",{SAD-CAATINGA},Caatinga,BAHIA,Itaberaba,6.9500000000,2023.0000000000,2023/01/01,2022/08/11,2023/01/27,2023/06/07,agriculture -"891928",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,12.9800000000,2023.0000000000,2023/01/01,2022/07/26,2023/04/20,2023/06/07,agriculture -"901880",{SAD-CAATINGA},Caatinga,BAHIA,Barra da Estiva,2.0900000000,2023.0000000000,2023/02/01,2022/06/08,2022/07/30,2023/06/12,agriculture -"891977",{SAD-CAATINGA},Caatinga,BAHIA,Paratinga,12.0300000000,2023.0000000000,2023/01/01,2022/04/11,2023/01/01,2023/06/07,agriculture -"892049",{SAD-CAATINGA},Caatinga,BAHIA,Iaçu,11.3900000000,2023.0000000000,2023/01/01,2022/08/06,2023/01/23,2023/06/07,agriculture -"891983",{SAD-CAATINGA},Caatinga,BAHIA,Andaraí,0.9700000000,2023.0000000000,2023/01/01,2022/01/19,2023/01/09,2023/06/07,agriculture -"901561",{SAD-CAATINGA},Caatinga,BAHIA,Jeremoabo,2.3200000000,2023.0000000000,2023/02/01,2022/11/24,2022/12/13,2023/06/12,agriculture -"892159",{SAD-CAATINGA},Caatinga,BAHIA,Piatã,12.5400000000,2023.0000000000,2023/01/01,2022/08/11,2023/01/14,2023/06/07,agriculture -"901321",{SAD-CAATINGA},Caatinga,BAHIA,Cotegipe,4.9700000000,2023.0000000000,2023/02/01,2022/06/30,2022/12/30,2023/06/12,agriculture -"901377",{SAD-CAATINGA},Caatinga,BAHIA,Jacaraci,5.2500000000,2023.0000000000,2023/02/01,2021/11/24,2022/01/13,2023/06/12,agriculture -"898673",{SAD-CAATINGA},Caatinga,BAHIA,Brotas de Macaúbas,1.9700000000,2023.0000000000,2023/01/01,2022/06/26,2022/11/15,2023/06/07,agriculture -"898610",{SAD-CAATINGA},Caatinga,BAHIA,Ribeira do Pombal,52.5000000000,2023.0000000000,2023/01/01,2022/04/14,2022/12/12,2023/06/07,agriculture -"920090",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,7.7800000000,2023.0000000000,2023/01/01,2022/10/16,2023/01/09,2023/06/13,agriculture -"920083",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,1.1100000000,2023.0000000000,2023/02/01,2022/10/16,2023/02/13,2023/06/13,agriculture -"920048",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,3.3000000000,2023.0000000000,2023/02/01,2022/10/06,2023/02/13,2023/06/13,agriculture 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-"898520",{SAD-CAATINGA},Caatinga,BAHIA,Souto Soares,2.8700000000,2023.0000000000,2023/01/01,2022/06/19,2022/07/30,2023/06/07,agriculture -"898506",{SAD-CAATINGA},Caatinga,BAHIA,Ruy Barbosa,19.6700000000,2023.0000000000,2023/01/01,2022/05/19,2023/04/19,2023/06/07,agriculture -"898491",{SAD-CAATINGA},Caatinga,BAHIA,Morro do Chapéu,85.2500000000,2023.0000000000,2023/01/01,2022/06/28,2022/12/31,2023/06/07,agriculture -"920728",{SAD-CERRADO},Cerrado,BAHIA,Barreiras,6.0000000000,2023.0000000000,2023/03/01,2022/02/28,2023/03/10,2023/06/13,agriculture -"898150",{SAD-CAATINGA},Caatinga,BAHIA,Bonito,5.9400000000,2023.0000000000,2023/01/01,2022/01/13,2022/05/19,2023/06/07,agriculture -"898201",{SAD-CAATINGA},Caatinga,BAHIA,Brotas de Macaúbas,3.1500000000,2023.0000000000,2023/01/01,2022/06/10,2022/09/14,2023/06/07,agriculture -"916590",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,1.3500000000,2023.0000000000,2023/01/01,2022/02/03,2023/01/29,2023/06/13,agriculture -"916508",{SAD-CERRADO},Cerrado,BAHIA,Santana,2.7100000000,2023.0000000000,2023/01/01,2022/07/05,2023/01/31,2023/06/13,agriculture -"898389",{SAD-CAATINGA},Caatinga,BAHIA,Brotas de Macaúbas,4.4500000000,2023.0000000000,2023/01/01,2022/12/12,2023/01/27,2023/06/07,agriculture -"898228",{SAD-CAATINGA},Caatinga,BAHIA,Itapicuru,29.4200000000,2023.0000000000,2023/01/01,2022/05/18,2023/07/20,2023/06/07,agriculture -"897786",{SAD-CAATINGA},Caatinga,BAHIA,Jeremoabo,71.6500000000,2023.0000000000,2023/01/01,2022/03/19,2023/01/09,2023/06/07,agriculture -"897629",{SAD-CAATINGA},Caatinga,BAHIA,Angical,21.7300000000,2023.0000000000,2023/01/01,2022/05/10,2022/08/14,2023/06/07,agriculture -"937163",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itabela,7.3100000000,2023.0000000000,2023/07/31,2023/05/03,2023/06/14,2023/08/03,agriculture -"923654",{SAD-CERRADO},Cerrado,BAHIA,Cocos,20.5500000000,2023.0000000000,2023/01/01,2022/10/16,2023/03/30,2023/06/13,agriculture -"925684",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,149.2900000000,2023.0000000000,2023/02/01,2022/10/11,2023/06/28,2023/06/13,agriculture -"929692",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,13.6000000000,2023.0000000000,2023/05/05,2022/06/06,2023/01/31,2023/07/03,agriculture -"921101",{SAD-CERRADO},Cerrado,BAHIA,Luís Eduardo Magalhães,12.6100000000,2023.0000000000,2023/02/01,2022/06/28,2023/02/13,2023/06/13,agriculture -"925563",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,2.4400000000,2023.0000000000,2023/02/01,2022/10/16,2023/02/13,2023/06/13,agriculture -"924478",{SAD-CERRADO},Cerrado,BAHIA,Mansidão,36.2700000000,2023.0000000000,2023/01/01,2022/07/05,2023/02/10,2023/06/13,agriculture -"922927",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,4.0200000000,2023.0000000000,2023/02/01,2022/10/06,2023/03/10,2023/06/13,agriculture -"898153",{SAD-CAATINGA},Caatinga,BAHIA,Santa Rita de Cássia,1.2200000000,2023.0000000000,2023/01/01,2022/07/08,2022/10/20,2023/06/07,agriculture -"898186",{SAD-CAATINGA},Caatinga,BAHIA,Euclides da Cunha,6.2300000000,2023.0000000000,2023/01/01,2022/04/13,2022/05/13,2023/06/07,agriculture -"898183",{SAD-CAATINGA},Caatinga,BAHIA,Ourolândia,4.6100000000,2023.0000000000,2023/01/01,2022/01/13,2022/09/21,2023/06/07,agriculture -"898023",{SAD-CAATINGA},Caatinga,BAHIA,América Dourada,74.4900000000,2023.0000000000,2023/01/01,2022/10/08,2022/12/19,2023/06/07,agriculture -"897999",{SAD-CAATINGA},Caatinga,BAHIA,Euclides da Cunha,26.8500000000,2023.0000000000,2023/01/01,2022/06/07,2022/08/09,2023/06/07,agriculture -"918715",{SAD-CERRADO},Cerrado,BAHIA,Correntina,109.8000000000,2023.0000000000,2023/01/01,2022/03/30,2023/02/13,2023/06/13,agriculture -"916998",{SAD-CERRADO},Cerrado,BAHIA,Barreiras,16.1100000000,2023.0000000000,2023/01/01,2022/06/08,2023/02/13,2023/06/13,agriculture -"916196",{SAD-CERRADO},Cerrado,BAHIA,Correntina,2.8700000000,2023.0000000000,2023/01/01,2022/10/03,2023/01/01,2023/06/13,agriculture -"931440",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,1147.1600000000,2023.0000000000,2023/05/08,2023/03/24,2023/07/04,2023/07/03,agriculture -"923414",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,4.9400000000,2023.0000000000,2023/02/01,2022/11/12,2023/02/25,2023/06/13,agriculture -"938584",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,0.4600000000,2023.0000000000,2023/07/31,2023/04/20,2023/05/15,2023/08/03,agriculture -"938354",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,20.2200000000,2023.0000000000,2023/07/31,2023/03/31,2023/06/04,2023/08/03,agriculture -"937289",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Eunápolis,22.9000000000,2023.0000000000,2023/07/31,2023/05/19,2023/07/09,2023/08/03,agriculture -"936950",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,0.9700000000,2023.0000000000,2023/07/31,2023/04/20,2023/06/14,2023/08/03,urban_expansion -"936620",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,2.8600000000,2023.0000000000,2023/07/31,2023/04/18,2023/06/04,2023/08/03,agriculture 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de Cássia,3.0200000000,2023.0000000000,2023/07/01,2023/01/24,2023/07/28,2023/09/13,agriculture -"967788",{SAD-CERRADO},Caatinga,BAHIA,Coribe,10.9800000000,2023.0000000000,2023/06/01,2023/01/31,2023/06/30,2023/09/13,agriculture -"967756",{SAD-CERRADO},Cerrado,BAHIA,Angical,1.4800000000,2023.0000000000,2023/07/01,2023/04/09,2023/07/30,2023/09/13,agriculture -"971089",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,8.8100000000,2023.0000000000,2023/06/01,2023/02/13,2023/06/28,2023/09/13,others -"968935",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,26.3800000000,2023.0000000000,2023/05/01,2023/01/31,2023/09/13,2023/09/13,agriculture -"971000",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,40.4900000000,2023.0000000000,2023/06/01,2023/01/01,2023/07/30,2023/09/13,agriculture -"968331",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,7.6400000000,2023.0000000000,2023/06/01,2023/02/13,2023/06/30,2023/09/13,agriculture -"972683",{SAD-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,25.5300000000,2023.0000000000,2023/05/01,2023/04/26,2023/05/31,2023/09/13,agriculture -"967676",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,50.7100000000,2023.0000000000,2023/07/01,2023/05/14,2023/07/28,2023/09/13,agriculture -"969782",{SAD-CERRADO},Cerrado,BAHIA,Licínio de Almeida,4.0200000000,2023.0000000000,2023/05/01,2023/04/16,2023/05/11,2023/09/13,agriculture -"967366",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,1.7200000000,2023.0000000000,2023/07/01,2023/04/24,2023/07/30,2023/09/13,agriculture -"970416",{SAD-CERRADO},Cerrado,BAHIA,Cordeiros,2.5100000000,2023.0000000000,2023/07/01,2023/01/23,2023/07/17,2023/09/13,others -"967270",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,3.0400000000,2023.0000000000,2023/06/01,2023/02/13,2023/06/30,2023/09/13,agriculture -"967250",{SAD-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,6.5900000000,2023.0000000000,2023/06/01,2023/01/31,2023/06/30,2023/09/13,agriculture -"967193",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,5.5400000000,2023.0000000000,2023/06/01,2023/01/09,2023/06/28,2023/09/13,agriculture -"970332",{SAD-CERRADO},Cerrado,BAHIA,Cocos,0.5400000000,2023.0000000000,2023/06/01,2022/10/06,2023/06/05,2023/09/13,others -"967791",{SAD-CERRADO},Cerrado,BAHIA,Cristópolis,1.9200000000,2023.0000000000,2023/07/01,2023/02/13,2023/07/30,2023/09/13,agriculture -"975187",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,4.2700000000,2023.0000000000,2023/07/01,2022/09/16,2023/07/28,2023/09/13,agriculture -"965787",{SAD-CERRADO},Cerrado,BAHIA,Cristópolis,2.6000000000,2023.0000000000,2023/05/01,2023/04/01,2023/05/31,2023/09/13,agriculture -"952484",{DETER-CERRADO},Cerrado,BAHIA,Cocos,20.5400000000,2023.0000000000,2023/07/10,2023/05/08,2023/06/29,2023/09/04,agriculture -"972486",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,1.9900000000,2023.0000000000,2023/06/01,2023/01/24,2023/06/28,2023/09/13,agriculture -"972463",{SAD-CERRADO},Cerrado,BAHIA,Correntina,19.1600000000,2023.0000000000,2023/07/01,2023/01/19,2023/07/30,2023/09/13,agriculture -"971310",{SAD-CERRADO},Cerrado,BAHIA,Cotegipe,2.4800000000,2023.0000000000,2023/06/01,2022/10/03,2023/06/30,2023/09/13,agriculture -"972101",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,6.4000000000,2023.0000000000,2023/06/01,2023/02/13,2023/07/28,2023/09/13,agriculture -"970927",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,407.8100000000,2023.0000000000,2023/07/01,2022/10/06,2023/07/28,2023/09/13,agriculture -"966818",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,3.9800000000,2023.0000000000,2023/07/01,2022/07/03,2023/07/18,2023/09/13,agriculture -"966738",{SAD-CERRADO},Cerrado,BAHIA,Santa Maria da Vitória,3.8200000000,2023.0000000000,2023/07/01,2023/03/25,2023/07/30,2023/09/13,agriculture -"966747",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,2.8600000000,2023.0000000000,2023/07/01,2023/01/31,2023/07/30,2023/09/13,agriculture -"966695",{SAD-CERRADO},Cerrado,BAHIA,Jaborandi,2.1400000000,2023.0000000000,2023/07/01,2023/05/06,2023/07/30,2023/09/13,agriculture -"966487",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,1.1800000000,2023.0000000000,2023/06/01,2022/08/02,2023/06/28,2023/09/13,agriculture -"966484",{SAD-CERRADO},Cerrado,BAHIA,Correntina,9.0200000000,2023.0000000000,2023/07/01,2023/05/06,2023/07/30,2023/09/13,agriculture -"971448",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,2.6300000000,2023.0000000000,2023/07/01,2023/01/09,2023/07/28,2023/09/13,agriculture -"971455",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,20.3000000000,2023.0000000000,2023/06/01,2023/01/09,2023/07/28,2023/09/13,agriculture -"968500",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,16.2300000000,2023.0000000000,2023/07/01,2023/03/30,2023/07/13,2023/09/13,agriculture -"970756",{SAD-CERRADO},Cerrado,BAHIA,Correntina,20.9900000000,2023.0000000000,2023/05/01,2023/03/10,2023/07/28,2023/09/13,agriculture -"917960",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,146.0100000000,2023.0000000000,2023/04/01,2022/09/16,2023/05/09,2023/06/13,agriculture -"970499",{SAD-CERRADO},Cerrado,BAHIA,Riacho de Santana,4.0200000000,2023.0000000000,2023/06/01,2023/01/16,2023/06/15,2023/09/13,agriculture -"976380",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,1975.7300000000,2023.0000000000,2023/07/01,2022/10/11,2023/08/17,2023/09/13,agriculture -"967875",{SAD-CERRADO},Cerrado,BAHIA,Serra Dourada,21.0700000000,2023.0000000000,2023/06/01,2022/07/10,2023/06/05,2023/09/13,agriculture -"963503",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,9.7600000000,2023.0000000000,2023/05/01,2023/04/26,2023/06/30,2023/09/13,agriculture -"970384",{SAD-CERRADO},Cerrado,BAHIA,Caetité,9.0000000000,2023.0000000000,2023/06/01,2023/01/16,2023/06/05,2023/09/13,agriculture -"970282",{SAD-CERRADO},Cerrado,BAHIA,Cocos,15.1400000000,2023.0000000000,2023/05/01,2023/04/01,2023/05/31,2023/09/13,agriculture -"970259",{SAD-CERRADO},Cerrado,BAHIA,Brejolândia,0.9600000000,2023.0000000000,2023/05/01,2023/05/31,2023/09/08,2023/09/13,agriculture -"970203",{SAD-CERRADO},Cerrado,BAHIA,Tanque Novo,5.6500000000,2023.0000000000,2023/05/01,2022/04/01,2023/05/31,2023/09/13,agriculture -"963336",{SAD-CERRADO},Cerrado,BAHIA,Tabocas do Brejo Velho,7.2600000000,2023.0000000000,2023/05/01,2023/01/31,2023/06/30,2023/09/13,roads -"970202",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,4.7500000000,2023.0000000000,2023/05/01,2023/01/29,2023/05/29,2023/09/13,agriculture -"962542",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,5.3000000000,2023.0000000000,2023/05/01,2023/04/29,2023/05/29,2023/09/13,agriculture -"962354",{SAD-CERRADO},Cerrado,BAHIA,Correntina,3.5300000000,2023.0000000000,2023/05/01,2023/05/09,2023/05/31,2023/09/13,agriculture -"965098",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,13.4000000000,2023.0000000000,2023/06/01,2022/05/09,2023/06/23,2023/09/13,agriculture -"920558",{SAD-CERRADO},Cerrado,BAHIA,Caetité,8.7600000000,2023.0000000000,2023/01/01,2022/04/01,2023/04/26,2023/06/13,agriculture -"922127",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,4.9100000000,2023.0000000000,2023/01/01,2022/10/11,2023/02/13,2023/06/13,agriculture -"891577",{SAD-CAATINGA},Caatinga,BAHIA,Correntina,7.0700000000,2023.0000000000,2023/01/01,2021/06/23,2021/07/03,2023/06/07,agriculture -"966051",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,2.5900000000,2023.0000000000,2023/05/01,2023/03/10,2023/05/29,2023/09/13,agriculture -"968440",{SAD-CERRADO},Cerrado,BAHIA,Correntina,7.6000000000,2023.0000000000,2023/07/01,2023/05/19,2023/07/28,2023/09/13,agriculture -"968419",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,4.4900000000,2023.0000000000,2023/07/01,2023/01/31,2023/07/30,2023/09/13,agriculture -"966895",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,19.1000000000,2023.0000000000,2023/07/01,2023/04/14,2023/07/18,2023/09/13,agriculture -"967614",{SAD-CERRADO},Cerrado,BAHIA,Riachão das Neves,2.8000000000,2023.0000000000,2023/07/01,2022/10/16,2023/07/28,2023/09/13,others -"966790",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,8.4000000000,2023.0000000000,2023/06/01,2023/05/29,2023/06/28,2023/09/13,agriculture -"966766",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,2.1200000000,2023.0000000000,2023/07/01,2023/06/08,2023/07/28,2023/09/13,agriculture -"967518",{SAD-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,23.1200000000,2023.0000000000,2023/06/01,2023/05/09,2023/06/28,2023/09/13,agriculture -"961457",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,91.3800000000,2023.0000000000,2023/05/01,2022/06/23,2023/05/29,2023/09/13,agriculture -"965829",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,4.6700000000,2023.0000000000,2023/05/01,2022/08/17,2023/05/29,2023/09/13,agriculture -"965819",{SAD-CERRADO},Cerrado,BAHIA,Baianópolis,5.5900000000,2023.0000000000,2023/05/01,2023/04/01,2023/05/31,2023/09/13,agriculture 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Cássia,1.3500000000,2023.0000000000,2023/06/01,2023/01/24,2023/06/28,2023/09/13,others -"1154544",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,2.3600000000,2023.0000000000,2023/10/02,2023/04/13,2023/09/17,2023/12/19,agriculture -"1073277",{SAD-CAATINGA},Caatinga,BAHIA,Boa Vista do Tupim,14.5400000000,2023.0000000000,2023/09/01,2023/02/23,2023/09/27,2023/11/09,agriculture -"1154736",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,14.0000000000,2023.0000000000,2023/10/06,2023/09/07,2023/10/16,2023/12/19,agriculture -"1073280",{SAD-CAATINGA},Caatinga,BAHIA,Mucugê,15.4600000000,2023.0000000000,2023/08/01,2023/01/26,2023/08/24,2023/11/09,agriculture -"1143595",{SAD-CERRADO},Cerrado,BAHIA,Cocos,1.9400000000,2023.0000000000,2023/10/01,2023/04/26,2023/10/23,2023/12/18,agriculture -"1141023",{SAD-CERRADO},Cerrado,BAHIA,Cocos,12.2400000000,2023.0000000000,2023/10/01,2023/08/02,2023/10/31,2023/12/18,agriculture 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Cássia,91.0300000000,2023.0000000000,2023/06/03,2022/10/07,2023/09/07,2023/09/04,agriculture -"1060242",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,4.0400000000,2023.0000000000,2023/09/30,2023/04/20,2023/07/14,2023/10/05,agriculture -"1059965",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Encruzilhada,3.5400000000,2023.0000000000,2023/09/30,2023/04/20,2023/10/13,2023/10/05,agriculture -"1059973",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Aporá,3.8200000000,2023.0000000000,2023/09/30,2023/04/26,2023/07/22,2023/10/05,agriculture -"1059986",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Guaratinga,2.5100000000,2023.0000000000,2023/09/30,2023/06/05,2023/08/03,2023/10/05,agriculture -"1059899",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Alagoinhas,9.5100000000,2023.0000000000,2023/09/30,2023/04/17,2023/09/28,2023/10/05,agriculture -"1059918",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,1.2700000000,2023.0000000000,2023/09/30,2023/06/04,2023/11/24,2023/10/05,agriculture 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-"1220226",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,12.3900000000,2024.0000000000,2024/02/25,2023/11/13,2024/04/15,2024/03/20,agriculture -"994170",{PRODES-CERR},Cerrado,BAHIA,Luís Eduardo Magalhães,57.1100000000,2021.0000000000,2021/07/28,2020/11/08,2021/01/01,2023/09/18,agriculture -"994055",{PRODES-CERR},Cerrado,BAHIA,Jaborandi,56.1200000000,2021.0000000000,2021/07/28,2020/08/20,2021/04/10,2023/09/18,agriculture -"1220419",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,10.6000000000,2024.0000000000,2024/02/27,2024/01/12,2024/02/16,2024/03/20,agriculture -"1206949",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,24.2500000000,2024.0000000000,2024/01/16,2019/07/16,2019/08/02,2024/02/27,agriculture -"1035256",{PRODES-CERR},Cerrado,BAHIA,Caetité,0.6100000000,2021.0000000000,2021/09/16,2020/11/13,2021/04/26,2023/09/18,agriculture -"1013434",{PRODES-CERR},Cerrado,BAHIA,Tanque Novo,2.5900000000,2021.0000000000,2021/08/15,2021/01/08,2021/12/06,2023/09/18,agriculture 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Neves,14.8700000000,2024.0000000000,2024/03/01,2024/01/10,2024/03/10,2024/05/01,agriculture -"1231957",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,23.1300000000,2024.0000000000,2024/03/21,2023/12/25,2024/03/17,2024/05/01,agriculture -"1013504",{PRODES-CERR},Cerrado,BAHIA,Paratinga,2.7800000000,2021.0000000000,2021/08/15,2020/04/25,2020/12/03,2023/09/18,agriculture -"1013441",{PRODES-CERR},Cerrado,BAHIA,Riacho de Santana,1.3500000000,2021.0000000000,2021/08/15,2021/01/18,2021/05/27,2023/09/18,agriculture -"1013444",{PRODES-CERR},Cerrado,BAHIA,Riacho de Santana,1.7000000000,2021.0000000000,2021/08/15,2020/06/28,2020/11/13,2023/09/18,agriculture -"1013438",{PRODES-CERR},Cerrado,BAHIA,Igaporã,1.9300000000,2021.0000000000,2021/08/15,2021/05/11,2021/05/27,2023/09/18,others -"1232136",{DETER-CERRADO},Cerrado,BAHIA,Baianópolis,11.4200000000,2024.0000000000,2024/03/14,2024/02/05,2024/03/25,2024/05/01,agriculture -"1206640",{DETER-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,1116.2200000000,2024.0000000000,2024/01/16,2023/12/27,2024/03/09,2024/02/27,agriculture -"1232045",{DETER-CERRADO},Cerrado,BAHIA,Coribe,29.3600000000,2024.0000000000,2024/03/27,2023/11/14,2024/04/30,2024/05/01,agriculture -"1232016",{DETER-CERRADO},Cerrado,BAHIA,São Desidério,360.2100000000,2024.0000000000,2024/03/29,2024/01/12,2024/04/28,2024/05/01,agriculture -"1215943",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,1.8600000000,2024.0000000000,2024/02/29,2023/08/06,2023/10/25,2024/03/13,agriculture -"1216994",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Cândido Sales,478.9000000000,2024.0000000000,2024/01/31,2023/05/20,2024/01/13,2024/03/13,agriculture -"1217206",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Jandaíra,3.9600000000,2024.0000000000,2024/01/31,2023/07/22,2023/11/12,2024/03/13,agriculture -"1231208",{SAD-CERRADO},Cerrado,BAHIA,Cristópolis,23.3000000000,2024.0000000000,2024/01/01,2023/11/12,2024/02/05,2024/04/30,agriculture 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Atlântica,BAHIA,Mascote,5.8800000000,2024.0000000000,2024/02/29,2023/09/10,2023/12/30,2024/03/13,agriculture -"1213107",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagi,2.5900000000,2024.0000000000,2024/02/29,2023/08/10,2023/12/27,2024/03/13,agriculture -"1211227",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Eunápolis,2.8900000000,2024.0000000000,2024/01/31,2023/08/25,2023/11/12,2024/03/13,agriculture -"1229959",{SAD-CERRADO},Cerrado,BAHIA,São Desidério,55.0900000000,2024.0000000000,2024/01/01,2023/06/08,2024/02/13,2024/04/30,agriculture -"1229892",{SAD-CERRADO},Cerrado,BAHIA,Formosa do Rio Preto,28.4000000000,2024.0000000000,2024/01/01,2023/09/06,2023/12/15,2024/04/30,agriculture -"1224796",{SAD-CAATINGA},Caatinga,BAHIA,Angical,7.5600000000,2024.0000000000,2024/01/01,2023/08/02,2023/11/10,2024/04/30,agriculture -"1223921",{SAD-CAATINGA},Caatinga,BAHIA,Santa Rita de Cássia,3.2500000000,2024.0000000000,2024/02/01,2023/04/20,2023/05/20,2024/04/30,agriculture 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Atlântica,BAHIA,Esplanada,15.0200000000,2024.0000000000,2024/01/31,2023/07/10,2024/03/13,2024/03/13,agriculture -"1213922",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,6.4300000000,2024.0000000000,2024/02/29,2023/08/06,2024/03/21,2024/03/13,agriculture -"1212570",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Presidente Tancredo Neves,1.6100000000,2024.0000000000,2024/01/31,2023/08/11,2023/11/27,2024/03/13,agriculture -"1210647",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itagibá,5.0000000000,2024.0000000000,2024/01/31,2023/10/24,2023/12/30,2024/03/13,agriculture -"1212068",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Canavieiras,3.3400000000,2024.0000000000,2024/02/29,2023/09/10,2023/12/05,2024/03/13,agriculture -"1013449",{PRODES-CERR},Cerrado,BAHIA,Tanque Novo,2.9200000000,2021.0000000000,2021/08/15,2021/05/21,2021/10/30,2023/09/18,agriculture -"1232434",{DETER-CERRADO},Cerrado,BAHIA,Riachão das Neves,305.7900000000,2024.0000000000,2024/03/29,2023/12/08,2024/05/01,2024/05/01,agriculture -"1232248",{DETER-CERRADO},Cerrado,BAHIA,Santa Rita de Cássia,654.3000000000,2024.0000000000,2024/03/01,2024/01/12,2024/05/01,2024/05/01,agriculture -"1212202",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camamu,7.2900000000,2024.0000000000,2024/01/31,2023/08/03,2023/12/04,2024/03/13,agriculture -"1215684",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Itacaré,1.2400000000,2024.0000000000,2024/01/31,2023/07/14,2024/03/18,2024/03/13,agriculture -"1210504",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Camacan,3.1600000000,2024.0000000000,2024/02/29,2023/10/15,2024/01/30,2024/03/13,agriculture -"1210456",{SAD-MATA-ATLANTICA},Mata Atlântica,BAHIA,Nilo Peçanha,2.9900000000,2024.0000000000,2024/01/31,2023/09/10,2023/11/10,2024/03/13,aquaculture -"1234653",{DETER-CERRADO},Cerrado,BAHIA,Correntina,10.8500000000,2024.0000000000,2024/04/25,2024/01/13,2024/02/26,2024/06/04,agriculture 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projeto/SEEG.csv From da2b4656124cf8079f71a44005841d8cf10642d3 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 14 Oct 2024 16:11:37 -0300 Subject: [PATCH 89/90] Delete projeto/mapbiomas_ba.csv --- projeto/mapbiomas_ba.csv | 1 - 1 file changed, 1 deletion(-) delete mode 100644 projeto/mapbiomas_ba.csv diff --git a/projeto/mapbiomas_ba.csv b/projeto/mapbiomas_ba.csv deleted file mode 100644 index d3f5a12..0000000 --- a/projeto/mapbiomas_ba.csv +++ /dev/null @@ -1 +0,0 @@ - From c1e42c5d08571790416481d8561b24e924b7aaa5 Mon Sep 17 00:00:00 2001 From: Paloma Avena Date: Mon, 14 Oct 2024 16:14:32 -0300 Subject: [PATCH 90/90] Add files via upload --- projeto/co2.csv | 125 + projeto/desmatamento.csv | 17027 +++++++++++++++++++++++++++++++++++++ projeto/mapbiomas_ba.zip | Bin 0 -> 577293 bytes 3 files changed, 17152 insertions(+) create mode 100644 projeto/co2.csv create mode 100644 projeto/desmatamento.csv create mode 100644 projeto/mapbiomas_ba.zip diff --git a/projeto/co2.csv b/projeto/co2.csv new file mode 100644 index 0000000..3769020 --- /dev/null +++ b/projeto/co2.csv @@ -0,0 +1,125 @@ +Municípios,Ano,CO2_emitido +São Desidério,2019,2024107 +Formosa do Rio Preto,2019,4220327 +Jaborandi,2019,1706967 +Correntina,2019,1545572 +Barreiras,2019,1568927 +Riachão das Neves,2019,580173 +Santa Rita de Cássia,2019,694797 +Jequié,2019,249169 +Encruzilhada,2019,403895 +Baianópolis,2019,607436 +Valença,2019,247673 +Cocos,2019,959394 +Belmonte,2019,390403 +Luís Eduardo Magalhães,2019,800435 +Barra,2019,226011 +Cotegipe,2019,331163 +Ibirapitanga,2019,86205 +Itagibá,2019,121675 +Itapetinga,2019,57074 +Iguaí,2019,82227 +Maraú,2019,80207 +Ibicuí,2019,16963 +Guaratinga,2019,211708 +Nilo Peçanha,2019,90276 +Camamu,2019,221471 +Itambé,2019,100107 +Dário Meira,2019,94401 +Igrapiúna,2019,257694 +Ilhéus,2019,158872 +Itarantim,2019,38472 +Outros,2019,15546451 +São Desidério,2020,3091203 +Formosa do Rio Preto,2020,3073766 +Jaborandi,2020,1744004 +Correntina,2020,1060525 +Barreiras,2020,1179766 +Riachão das Neves,2020,1085054 +Santa Rita de Cássia,2020,859509 +Jequié,2020,186265 +Encruzilhada,2020,451620 +Baianópolis,2020,790814 +Valença,2020,427637 +Cocos,2020,1218387 +Belmonte,2020,350558 +Luís Eduardo Magalhães,2020,1523413 +Barra,2020,139778 +Cotegipe,2020,559960 +Ibirapitanga,2020,296362 +Itagibá,2020,72102 +Itapetinga,2020,46135 +Iguaí,2020,127471 +Maraú,2020,170126 +Ibicuí,2020,35239 +Guaratinga,2020,251656 +Nilo Peçanha,2020,154625 +Camamu,2020,434741 +Itambé,2020,144429 +Dário Meira,2020,92504 +Igrapiúna,2020,378236 +Ilhéus,2020,191205 +Itarantim,2020,60319 +Outros,2020,13047762 +São Desidério,2021,3159579 +Formosa do Rio Preto,2021,2299737 +Jaborandi,2021,2051920 +Correntina,2021,1585476 +Barreiras,2021,958306 +Riachão das Neves,2021,761963 +Santa Rita de Cássia,2021,998700 +Jequié,2021,163926 +Encruzilhada,2021,587315 +Baianópolis,2021,1700892 +Valença,2021,195332 +Cocos,2021,1229644 +Belmonte,2021,331485 +Luís Eduardo Magalhães,2021,654262 +Barra,2021,79058 +Cotegipe,2021,292547 +Ibirapitanga,2021,72436 +Itagibá,2021,111453 +Itapetinga,2021,20727 +Iguaí,2021,155962 +Maraú,2021,103211 +Ibicuí,2021,27800 +Guaratinga,2021,171742 +Nilo Peçanha,2021,59568 +Camamu,2021,163548 +Itambé,2021,65263 +Dário Meira,2021,101797 +Igrapiúna,2021,148621 +Ilhéus,2021,131715 +Itarantim,2021,10405 +Outros,2021,13420866 +São Desidério,2022,2729422 +Formosa do Rio Preto,2022,2432263 +Jaborandi,2022,1734316 +Correntina,2022,1473135 +Barreiras,2022,996163 +Riachão das Neves,2022,670183 +Santa Rita de Cássia,2022,569631 +Jequié,2022,498001 +Encruzilhada,2022,414662 +Baianópolis,2022,413632 +Valença,2022,378871 +Cocos,2022,367625 +Belmonte,2022,354868 +Luís Eduardo Magalhães,2022,343098 +Barra,2022,312169 +Cotegipe,2022,297663 +Ibirapitanga,2022,292758 +Itagibá,2022,288483 +Itapetinga,2022,285382 +Iguaí,2022,277970 +Maraú,2022,275953 +Ibicuí,2022,245755 +Guaratinga,2022,243882 +Nilo Peçanha,2022,238334 +Camamu,2022,232571 +Itambé,2022,227632 +Dário Meira,2022,217077 +Igrapiúna,2022,210971 +Ilhéus,2022,209209 +Itarantim,2022,203154 +Outros,2022,13978140 diff --git a/projeto/desmatamento.csv b/projeto/desmatamento.csv new file mode 100644 index 0000000..e2436a2 --- /dev/null +++ b/projeto/desmatamento.csv @@ -0,0 +1,17027 @@ +BIOMA,ESTADO,MUNICIPIO,AREAHA,ANODETEC,VPRESSAO +Cerrado,BAHIA,Canápolis,2.3,2021,agriculture +Cerrado,BAHIA,São Desidério,12.52,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,4.83,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,7.41,2021,agriculture +Cerrado,BAHIA,Baianópolis,2.91,2021,agriculture +Cerrado,BAHIA,Coribe,1.29,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.3,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.48,2021,agriculture +Cerrado,BAHIA,Coribe,1.45,2021,agriculture +Cerrado,BAHIA,Coribe,0.87,2021,agriculture +Caatinga,BAHIA,Matina,3.08,2022,agriculture +Caatinga,BAHIA,Matina,1.83,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,25.49,2022,agriculture 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Vista do Tupim,4.55,2022,others +Mata Atlântica,BAHIA,Encruzilhada,5.06,2022,agriculture +Caatinga,BAHIA,Carinhanha,7.42,2022,others +Caatinga,BAHIA,Serra Dourada,1.94,2022,others +Caatinga,BAHIA,Buritirama,4.53,2022,others +Caatinga,BAHIA,Itaeté,7.76,2022,others +Caatinga,BAHIA,Feira da Mata,2.01,2022,others +Caatinga,BAHIA,Itaeté,2.33,2022,others +Caatinga,BAHIA,Jaborandi,5.74,2022,others +Caatinga,BAHIA,Riacho de Santana,0.86,2022,others +Caatinga,BAHIA,Coribe,26.55,2022,others +Caatinga,BAHIA,Campo Formoso,2.26,2022,others +Caatinga,BAHIA,Buritirama,0.47,2022,others +Caatinga,BAHIA,Cordeiros,2.06,2022,others +Caatinga,BAHIA,Caculé,3.43,2022,others +Caatinga,BAHIA,Carinhanha,59.81,2022,agriculture +Caatinga,BAHIA,Rio de Contas,30.08,2022,others +Caatinga,BAHIA,Barra,217.43,2022,others +Caatinga,BAHIA,São Félix do Coribe,1029.9,2022,agriculture +Caatinga,BAHIA,Cipó,3.61,2022,agriculture +Caatinga,BAHIA,Nova Soure,91.51,2022,others +Caatinga,BAHIA,Brotas de Macaúbas,22.79,2022,others +Caatinga,BAHIA,Tucano,16.84,2022,others +Caatinga,BAHIA,Paulo Afonso,1.34,2022,others +Caatinga,BAHIA,Itapicuru,1.79,2022,others +Caatinga,BAHIA,Mansidão,7.4,2022,others +Caatinga,BAHIA,Cipó,3.16,2022,others +Caatinga,BAHIA,Olindina,17.9,2022,others +Caatinga,BAHIA,Buritirama,3.74,2022,others +Caatinga,BAHIA,Remanso,11.63,2022,others +Caatinga,BAHIA,Carinhanha,15.15,2022,others +Caatinga,BAHIA,Paulo Afonso,2.28,2022,others +Caatinga,BAHIA,Boquira,3.75,2022,others +Caatinga,BAHIA,Riacho de Santana,11.16,2022,others +Caatinga,BAHIA,Buritirama,1.28,2022,others +Caatinga,BAHIA,Monte Santo,2.06,2022,others +Caatinga,BAHIA,Carinhanha,0.83,2022,others +Caatinga,BAHIA,Cordeiros,3.83,2022,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,2.68,2022,others +Caatinga,BAHIA,Campo Formoso,0.11,2022,others +Caatinga,BAHIA,Cordeiros,1.36,2022,others +Caatinga,BAHIA,Feira da Mata,2.87,2022,others +Caatinga,BAHIA,Matina,1.97,2022,others +Caatinga,BAHIA,Água Fria,10.35,2022,agriculture +Caatinga,BAHIA,Serra do Ramalho,13.88,2022,others +Caatinga,BAHIA,Monte Santo,1.1,2022,others +Caatinga,BAHIA,Paripiranga,3.05,2022,others +Caatinga,BAHIA,Rio de Contas,0.79,2022,others +Caatinga,BAHIA,Uauá,9.81,2022,others +Caatinga,BAHIA,Paulo Afonso,0.41,2022,others +Caatinga,BAHIA,Contendas do Sincorá,57.68,2022,others +Caatinga,BAHIA,Carinhanha,2.39,2022,others +Cerrado,BAHIA,Barreiras,27.66,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.58,2022,others +Caatinga,BAHIA,Serra Dourada,3.45,2022,others +Caatinga,BAHIA,Presidente Jânio Quadros,11.8,2022,others +Caatinga,BAHIA,Santa Brígida,0.95,2022,others +Caatinga,BAHIA,Carinhanha,1.73,2022,others +Caatinga,BAHIA,Carinhanha,8.73,2022,others +Caatinga,BAHIA,Boa Vista do Tupim,0.78,2022,others +Caatinga,BAHIA,Campo Formoso,0.8,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,0.85,2022,others +Caatinga,BAHIA,Riacho de Santana,6.88,2022,others +Cerrado,BAHIA,São Desidério,1666.34,2022,agriculture +Cerrado,BAHIA,Correntina,2200.52,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,280.92,2022,agriculture +Cerrado,BAHIA,Correntina,661.07,2022,agriculture +Cerrado,BAHIA,São Desidério,240.87,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,433.0,2022,agriculture +Cerrado,BAHIA,São Desidério,120.03,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,88.82,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,8.51,2022,agriculture +Cerrado,BAHIA,Coribe,7.23,2022,agriculture +Cerrado,BAHIA,Caetité,1.25,2022,agriculture +Cerrado,BAHIA,Tanque Novo,4.92,2022,agriculture +Cerrado,BAHIA,Cotegipe,46.26,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,2.77,2022,others +Caatinga,BAHIA,Malhada de Pedras,3.03,2022,others +Cerrado,BAHIA,Jaborandi,3.81,2022,agriculture +Caatinga,BAHIA,Araci,9.02,2022,agriculture +Caatinga,BAHIA,Itapicuru,4.64,2022,agriculture +Caatinga,BAHIA,Rio Real,10.16,2022,others +Caatinga,BAHIA,Itapicuru,0.83,2022,others +Caatinga,BAHIA,Itapicuru,11.14,2022,others +Caatinga,BAHIA,Itapicuru,1.28,2022,others +Caatinga,BAHIA,Marcionílio Souza,36.3,2022,others +Caatinga,BAHIA,Seabra,0.74,2022,others +Caatinga,BAHIA,Nova Soure,28.88,2022,others +Caatinga,BAHIA,Itapicuru,6.43,2022,others +Caatinga,BAHIA,Riacho de Santana,4.96,2022,others +Caatinga,BAHIA,Boquira,0.75,2022,others +Caatinga,BAHIA,Boninal,0.37,2022,others +Caatinga,BAHIA,Riacho de Santana,6.13,2022,others +Caatinga,BAHIA,Tucano,22.21,2022,others +Caatinga,BAHIA,Sátiro Dias,11.53,2022,others +Caatinga,BAHIA,Feira da Mata,26.0,2022,others +Caatinga,BAHIA,Feira da Mata,1.51,2022,others +Caatinga,BAHIA,Sítio do Mato,1.79,2022,others +Caatinga,BAHIA,Boa Vista do Tupim,22.92,2022,others +Caatinga,BAHIA,Piatã,2.76,2022,others +Caatinga,BAHIA,Cipó,1.62,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,11.37,2022,others +Caatinga,BAHIA,Paulo Afonso,11.57,2022,others +Caatinga,BAHIA,Carinhanha,2.36,2022,others +Caatinga,BAHIA,Paratinga,2.32,2022,others +Caatinga,BAHIA,Caculé,3.94,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,53.68,2022,agriculture +Caatinga,BAHIA,Coribe,27.5,2022,others +Caatinga,BAHIA,Mirante,9.97,2022,others +Caatinga,BAHIA,Condeúba,0.47,2022,others +Cerrado,BAHIA,Correntina,21.65,2022,agriculture +Caatinga,BAHIA,Boquira,5.36,2022,others +Caatinga,BAHIA,Itiúba,0.85,2022,others +Caatinga,BAHIA,Itapicuru,5.17,2022,agriculture +Caatinga,BAHIA,Monte Santo,4.54,2022,agriculture +Caatinga,BAHIA,Buritirama,1.59,2022,agriculture +Caatinga,BAHIA,Buritirama,0.55,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,2.79,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,107.55,2022,others +Mata Atlântica,BAHIA,Santa Inês,1.05,2022,agriculture +Caatinga,BAHIA,Umburanas,2.75,2022,agriculture +Caatinga,BAHIA,Buritirama,0.58,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,5.3,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.51,2022,others +Caatinga,BAHIA,Marcionílio Souza,2.86,2022,agriculture +Caatinga,BAHIA,Monte Santo,5.37,2022,agriculture +Cerrado,BAHIA,Barreiras,58.34,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,90.58,2022,agriculture +Caatinga,BAHIA,Itapicuru,28.15,2022,others +Caatinga,BAHIA,Caém,5.17,2022,others +Caatinga,BAHIA,Gentio do Ouro,0.31,2022,others +Caatinga,BAHIA,Crisópolis,1.93,2022,others +Caatinga,BAHIA,Barra,135.99,2022,others +Caatinga,BAHIA,Nova Soure,2.28,2022,others +Caatinga,BAHIA,Sento Sé,0.85,2022,others +Caatinga,BAHIA,Capim Grosso,4.09,2022,others +Caatinga,BAHIA,Sátiro Dias,31.34,2022,others +Caatinga,BAHIA,Sátiro Dias,10.38,2022,others +Caatinga,BAHIA,Aporá,10.02,2022,others +Caatinga,BAHIA,Buritirama,8.15,2022,others +Caatinga,BAHIA,Wanderley,2.6,2022,others +Caatinga,BAHIA,Buritirama,2.38,2022,others +Caatinga,BAHIA,Boquira,3.82,2022,others +Caatinga,BAHIA,Malhada,67.53,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,47.15,2022,others +Caatinga,BAHIA,Buritirama,1.69,2022,others +Caatinga,BAHIA,Santana,16.92,2022,others +Caatinga,BAHIA,Wanderley,4.99,2022,others +Caatinga,BAHIA,Itaberaba,4.63,2022,agriculture +Caatinga,BAHIA,Itapicuru,20.68,2022,others +Caatinga,BAHIA,Buritirama,0.8,2022,agriculture +Caatinga,BAHIA,Buritirama,0.78,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,16.84,2022,agriculture +Caatinga,BAHIA,Anagé,21.34,2022,agriculture +Caatinga,BAHIA,Itapicuru,3.82,2022,agriculture +Caatinga,BAHIA,Santaluz,3.63,2022,agriculture +Caatinga,BAHIA,Olindina,2.76,2022,agriculture +Caatinga,BAHIA,Santanópolis,5.18,2022,agriculture +Caatinga,BAHIA,Miguel Calmon,6.63,2022,agriculture +Caatinga,BAHIA,Itapicuru,24.18,2022,agriculture +Caatinga,BAHIA,Araci,1.05,2022,agriculture +Caatinga,BAHIA,Barra,65.6,2022,agriculture +Caatinga,BAHIA,Gentio do Ouro,0.79,2022,agriculture +Caatinga,BAHIA,Itapicuru,1.54,2022,agriculture +Caatinga,BAHIA,Sátiro Dias,13.5,2022,agriculture +Caatinga,BAHIA,Jacobina,4.98,2022,agriculture +Caatinga,BAHIA,Nova Soure,41.97,2022,agriculture +Caatinga,BAHIA,Itapicuru,2.06,2022,agriculture +Caatinga,BAHIA,Cipó,7.5,2022,agriculture +Caatinga,BAHIA,Itapicuru,8.33,2022,agriculture +Caatinga,BAHIA,Coronel João Sá,79.63,2022,agriculture +Caatinga,BAHIA,Marcionílio Souza,28.72,2022,others +Caatinga,BAHIA,Jeremoabo,44.16,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,1.62,2022,others +Caatinga,BAHIA,Xique-Xique,7.65,2022,others +Caatinga,BAHIA,Carinhanha,1.32,2022,others +Caatinga,BAHIA,Barra,152.97,2022,others +Caatinga,BAHIA,Feira da Mata,11.01,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,4.16,2022,others +Caatinga,BAHIA,Monte Santo,5.8,2022,others +Caatinga,BAHIA,Feira da Mata,5.82,2022,others +Caatinga,BAHIA,Carinhanha,17.27,2022,others +Caatinga,BAHIA,Mirante,17.81,2022,others +Caatinga,BAHIA,Itapicuru,140.06,2022,others +Caatinga,BAHIA,Nova Soure,7.87,2022,others +Caatinga,BAHIA,Crisópolis,6.7,2022,others +Caatinga,BAHIA,Heliópolis,6.64,2022,others +Caatinga,BAHIA,Brotas de Macaúbas,38.34,2022,others +Caatinga,BAHIA,Jeremoabo,8.94,2022,others +Caatinga,BAHIA,Araci,0.56,2022,others +Caatinga,BAHIA,Gentio do Ouro,21.93,2022,others +Caatinga,BAHIA,Nova Soure,2.65,2022,others +Caatinga,BAHIA,Tucano,4.38,2022,others +Caatinga,BAHIA,Cipó,1.32,2022,others +Caatinga,BAHIA,Queimadas,11.39,2022,others +Caatinga,BAHIA,Morpará,1.14,2022,others +Caatinga,BAHIA,Caém,5.11,2022,others +Caatinga,BAHIA,Uibaí,3.77,2022,renewable_energy_project +Caatinga,BAHIA,Umburanas,4.26,2022,others +Caatinga,BAHIA,Jacobina,44.34,2022,others +Caatinga,BAHIA,Serrolândia,6.91,2022,others +Caatinga,BAHIA,Várzea Nova,0.33,2022,others +Caatinga,BAHIA,Sátiro Dias,11.6,2022,others +Caatinga,BAHIA,Ribeira do Amparo,0.65,2022,others +Caatinga,BAHIA,Tucano,206.05,2022,others +Caatinga,BAHIA,Tucano,3.12,2022,mining +Caatinga,BAHIA,Olindina,0.97,2022,others +Caatinga,BAHIA,Irará,2.91,2022,others +Caatinga,BAHIA,Jacobina,10.06,2022,others +Caatinga,BAHIA,Euclides da Cunha,11.31,2022,others +Caatinga,BAHIA,Serrolândia,0.61,2022,others +Caatinga,BAHIA,Saúde,1.82,2022,others +Caatinga,BAHIA,Barra,11.6,2022,agriculture +Cerrado,BAHIA,Caetité,2.4,2022,agriculture +Cerrado,BAHIA,Igaporã,2.59,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.65,2022,agriculture +Cerrado,BAHIA,Brejolândia,9.18,2022,agriculture +Caatinga,BAHIA,Itapicuru,19.28,2022,agriculture +Caatinga,BAHIA,Seabra,3.16,2022,agriculture +Caatinga,BAHIA,Quijingue,15.07,2022,agriculture +Caatinga,BAHIA,Santana,13.55,2022,others +Caatinga,BAHIA,Feira de Santana,31.71,2022,others +Caatinga,BAHIA,Tucano,7.26,2022,others +Caatinga,BAHIA,Coronel João Sá,3.37,2022,others +Caatinga,BAHIA,Morro do Chapéu,2.49,2022,others +Caatinga,BAHIA,Tucano,14.3,2022,others +Caatinga,BAHIA,Juazeiro,1.62,2022,others +Caatinga,BAHIA,Cipó,1.46,2022,others +Caatinga,BAHIA,Crisópolis,2.1,2022,others +Caatinga,BAHIA,Várzea Nova,18.01,2022,others +Caatinga,BAHIA,Capim Grosso,4.98,2022,others +Caatinga,BAHIA,Cipó,9.32,2022,others +Caatinga,BAHIA,Iramaia,14.81,2022,others +Caatinga,BAHIA,Itapicuru,7.04,2022,others +Caatinga,BAHIA,Jacobina,7.44,2022,others +Caatinga,BAHIA,Morro do Chapéu,0.55,2022,others +Caatinga,BAHIA,Olindina,3.82,2022,others +Caatinga,BAHIA,Caém,3.83,2022,others +Caatinga,BAHIA,Gentio do Ouro,0.3,2022,others +Caatinga,BAHIA,Nova Soure,41.16,2022,others +Caatinga,BAHIA,Boninal,1.64,2022,others +Caatinga,BAHIA,Barra,8.77,2022,others +Caatinga,BAHIA,Itapicuru,7.22,2022,others +Caatinga,BAHIA,Jeremoabo,4.48,2022,others +Caatinga,BAHIA,Sobradinho,0.41,2022,others +Caatinga,BAHIA,Itapicuru,187.31,2022,others +Caatinga,BAHIA,Olindina,7.13,2022,others +Caatinga,BAHIA,Itapicuru,4.85,2022,others +Caatinga,BAHIA,Sobradinho,0.93,2022,others +Caatinga,BAHIA,Santanópolis,2.88,2022,others +Caatinga,BAHIA,Aporá,5.42,2022,others +Caatinga,BAHIA,Olindina,14.3,2022,others +Cerrado,BAHIA,Tabocas do Brejo Velho,1.0,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,38.47,2022,agriculture +Cerrado,BAHIA,Pindaí,1.15,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,3.91,2022,agriculture +Cerrado,BAHIA,Licínio de Almeida,2.81,2022,agriculture +Cerrado,BAHIA,Mansidão,9.03,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.5,2022,agriculture +Cerrado,BAHIA,Caetité,2.25,2022,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,1.02,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.79,2022,agriculture +Cerrado,BAHIA,Caetité,0.72,2022,urban_expansion +Cerrado,BAHIA,Caetité,1.48,2022,urban_expansion +Caatinga,BAHIA,Boa Vista do Tupim,20.26,2022,others +Caatinga,BAHIA,Riacho de Santana,9.07,2022,agriculture +Caatinga,BAHIA,Cotegipe,6.36,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.53,2022,agriculture +Caatinga,BAHIA,Matina,16.71,2022,others +Caatinga,BAHIA,Buritirama,0.56,2022,others +Caatinga,BAHIA,Coronel João Sá,4.7,2022,others +Caatinga,BAHIA,Riacho de Santana,25.91,2022,agriculture +Caatinga,BAHIA,Sento Sé,1.61,2022,others +Caatinga,BAHIA,Itaberaba,4.24,2022,others +Caatinga,BAHIA,Nova Soure,22.19,2022,agriculture +Caatinga,BAHIA,Euclides da Cunha,67.71,2022,others +Caatinga,BAHIA,Serrolândia,1.83,2022,others +Caatinga,BAHIA,Caém,2.55,2022,others +Caatinga,BAHIA,Tucano,3.29,2022,others +Caatinga,BAHIA,Inhambupe,1.62,2022,others +Caatinga,BAHIA,Itapicuru,5.34,2022,others +Caatinga,BAHIA,Itapicuru,1.09,2022,others +Caatinga,BAHIA,Araci,14.04,2022,renewable_energy_project +Caatinga,BAHIA,Gentio do Ouro,1.32,2022,others +Caatinga,BAHIA,Ribeira do Amparo,6.69,2022,others +Caatinga,BAHIA,Olindina,11.17,2022,others +Caatinga,BAHIA,Nova Soure,0.48,2022,others +Caatinga,BAHIA,Casa Nova,32.19,2022,others +Caatinga,BAHIA,Jacobina,30.96,2022,others +Caatinga,BAHIA,Sátiro Dias,13.06,2022,others +Caatinga,BAHIA,Itapicuru,22.99,2022,others +Caatinga,BAHIA,Itapicuru,1.34,2022,others +Caatinga,BAHIA,Olindina,13.67,2022,others +Caatinga,BAHIA,Casa Nova,0.76,2022,others +Caatinga,BAHIA,Juazeiro,6.26,2022,others +Caatinga,BAHIA,Tucano,3.96,2022,others +Caatinga,BAHIA,Itapicuru,3.74,2022,others +Caatinga,BAHIA,Crisópolis,5.26,2022,others +Caatinga,BAHIA,Crisópolis,4.4,2022,others +Caatinga,BAHIA,Crisópolis,0.94,2022,others +Caatinga,BAHIA,Inhambupe,3.41,2022,others +Caatinga,BAHIA,Araci,1.58,2022,others +Caatinga,BAHIA,Itapicuru,115.11,2022,others +Caatinga,BAHIA,Ribeira do Amparo,13.1,2022,others +Caatinga,BAHIA,Pilão Arcado,1.74,2022,others +Caatinga,BAHIA,Tucano,103.52,2022,others +Caatinga,BAHIA,Wanderley,26.99,2022,others +Caatinga,BAHIA,Aporá,7.01,2022,others +Caatinga,BAHIA,Itapicuru,45.25,2022,others +Caatinga,BAHIA,Ponto Novo,1.17,2022,others +Caatinga,BAHIA,Banzaê,20.18,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,2.2,2022,agriculture +Caatinga,BAHIA,Crisópolis,6.99,2022,others +Caatinga,BAHIA,Barra,4.34,2022,others +Caatinga,BAHIA,Miguel Calmon,2.19,2022,others +Caatinga,BAHIA,Miguel Calmon,1.06,2022,others +Caatinga,BAHIA,Quixabeira,2.74,2022,others +Caatinga,BAHIA,Jacobina,0.35,2022,others +Caatinga,BAHIA,Gentio do Ouro,2.42,2022,others 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Amparo,131.68,2022,others +Caatinga,BAHIA,Barra,4.57,2022,others +Caatinga,BAHIA,Cipó,4.06,2022,others +Caatinga,BAHIA,Morro do Chapéu,6.64,2022,agriculture +Caatinga,BAHIA,Santana,30.39,2022,agriculture +Caatinga,BAHIA,Barra,444.6,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.61,2022,agriculture +Cerrado,BAHIA,Canápolis,4.0,2022,agriculture +Cerrado,BAHIA,Coribe,13.11,2022,agriculture +Cerrado,BAHIA,Brejolândia,7.92,2022,agriculture +Cerrado,BAHIA,Caetité,3.11,2022,agriculture +Cerrado,BAHIA,Riacho de Santana,1.41,2022,agriculture +Cerrado,BAHIA,Igaporã,4.68,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.77,2022,agriculture +Caatinga,BAHIA,Crisópolis,9.95,2022,others +Caatinga,BAHIA,Nova Soure,8.97,2022,others +Caatinga,BAHIA,Morro do Chapéu,2.38,2022,others +Caatinga,BAHIA,Canudos,9.48,2022,others +Caatinga,BAHIA,Itapicuru,6.16,2022,others +Caatinga,BAHIA,Itaberaba,247.18,2022,others +Caatinga,BAHIA,Andaraí,25.38,2022,others 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Lourdes,13.15,2022,others +Caatinga,BAHIA,Brejolândia,140.02,2022,agriculture +Caatinga,BAHIA,Seabra,8.03,2022,others +Caatinga,BAHIA,Euclides da Cunha,1.95,2022,others +Caatinga,BAHIA,Jeremoabo,159.77,2022,others +Caatinga,BAHIA,Pilão Arcado,0.74,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,27.12,2022,others +Caatinga,BAHIA,Barra,2.17,2022,others +Caatinga,BAHIA,Remanso,1.21,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.81,2022,others +Caatinga,BAHIA,Macaúbas,32.27,2022,others +Caatinga,BAHIA,Brejolândia,41.52,2022,others +Caatinga,BAHIA,Xique-Xique,1.79,2022,others +Caatinga,BAHIA,Abaré,4.25,2022,others +Caatinga,BAHIA,Iaçu,4.39,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.37,2022,others +Caatinga,BAHIA,Riacho de Santana,43.88,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,9.58,2022,others +Caatinga,BAHIA,Sobradinho,3.57,2022,others +Caatinga,BAHIA,Piatã,10.25,2022,others +Caatinga,BAHIA,Capim Grosso,4.04,2022,agriculture 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+Cerrado,BAHIA,Correntina,420.63,2022,agriculture +Caatinga,BAHIA,Itapicuru,243.7,2022,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,18.59,2022,agriculture +Caatinga,BAHIA,Tucano,22.88,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.59,2022,agriculture +Caatinga,BAHIA,Buritirama,10.14,2022,others +Caatinga,BAHIA,Ribeira do Pombal,10.01,2022,others +Caatinga,BAHIA,Ribeira do Pombal,56.49,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,8.92,2022,others +Caatinga,BAHIA,Boninal,13.76,2022,others +Caatinga,BAHIA,Buritirama,1.58,2022,others +Caatinga,BAHIA,Caculé,4.0,2022,others +Caatinga,BAHIA,Santana,5.12,2022,others +Mata Atlântica,BAHIA,Cardeal da Silva,1.53,2022,agriculture +Caatinga,BAHIA,Brejolândia,23.44,2022,others +Mata Atlântica,BAHIA,Jandaíra,8.42,2022,agriculture +Mata Atlântica,BAHIA,Entre Rios,0.64,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,15.25,2022,others +Mata Atlântica,BAHIA,Pojuca,7.49,2022,agriculture +Mata Atlântica,BAHIA,Ibicuí,1.72,2022,agriculture +Caatinga,BAHIA,Itapicuru,31.68,2022,others +Caatinga,BAHIA,Itapicuru,37.38,2022,agriculture +Caatinga,BAHIA,Tucano,7.99,2022,others +Caatinga,BAHIA,Iaçu,68.3,2022,others +Mata Atlântica,BAHIA,Água Fria,9.84,2022,agriculture +Mata Atlântica,BAHIA,Esplanada,4.18,2022,agriculture +Caatinga,BAHIA,Ibipeba,57.55,2022,renewable_energy_project +Caatinga,BAHIA,Caldeirão Grande,1.38,2022,others +Caatinga,BAHIA,Itapicuru,129.45,2022,others +Caatinga,BAHIA,Barra,84.85,2022,others +Mata Atlântica,BAHIA,Valença,2.0,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,5.21,2022,others +Caatinga,BAHIA,Planaltino,4.5,2022,others +Caatinga,BAHIA,Oliveira dos Brejinhos,17.3,2022,others +Caatinga,BAHIA,Brejolândia,3.22,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,140.77,2022,agriculture +Cerrado,BAHIA,Barreiras,7.15,2022,agriculture +Cerrado,BAHIA,Cristópolis,3.56,2022,agriculture +Mata Atlântica,BAHIA,Ouriçangas,3.35,2022,agriculture +Mata Atlântica,BAHIA,Jandaíra,1.87,2022,agriculture +Mata Atlântica,BAHIA,Tremedal,1.67,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,6.72,2022,agriculture +Mata Atlântica,BAHIA,Tremedal,1.41,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,4.44,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.75,2022,agriculture +Mata Atlântica,BAHIA,Belo Campo,3.11,2022,agriculture +Mata Atlântica,BAHIA,Belo Campo,12.03,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,55.29,2022,agriculture +Caatinga,BAHIA,Seabra,1.75,2022,others +Caatinga,BAHIA,Sobradinho,22.23,2022,others +Caatinga,BAHIA,Ibotirama,18.23,2022,others +Caatinga,BAHIA,Brejolândia,9.01,2022,others +Caatinga,BAHIA,Riacho de Santana,15.65,2022,others +Caatinga,BAHIA,Sento Sé,6.79,2022,others +Caatinga,BAHIA,Juazeiro,11.68,2022,others +Caatinga,BAHIA,Remanso,16.95,2022,others +Caatinga,BAHIA,Macaúbas,8.01,2022,others +Cerrado,BAHIA,Mansidão,68.51,2022,agriculture +Caatinga,BAHIA,Ibotirama,40.51,2022,others +Caatinga,BAHIA,Novo Horizonte,3.71,2022,others +Caatinga,BAHIA,Ribeira do Pombal,2.91,2022,others +Caatinga,BAHIA,Cícero Dantas,10.52,2022,others +Caatinga,BAHIA,Juazeiro,4.91,2022,others +Caatinga,BAHIA,Riacho de Santana,9.48,2022,others +Caatinga,BAHIA,Euclides da Cunha,66.09,2022,others +Caatinga,BAHIA,Oliveira dos Brejinhos,26.62,2022,others +Caatinga,BAHIA,Várzea Nova,3.87,2022,agriculture +Caatinga,BAHIA,Piatã,1.65,2022,others +Caatinga,BAHIA,Santa Brígida,1.33,2022,others +Caatinga,BAHIA,Ibotirama,20.04,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,6.79,2022,others +Caatinga,BAHIA,Campo Formoso,5.11,2022,others +Caatinga,BAHIA,Juazeiro,17.53,2022,others +Caatinga,BAHIA,Boninal,12.56,2022,others +Caatinga,BAHIA,Iaçu,23.84,2022,others +Caatinga,BAHIA,Euclides da Cunha,40.15,2022,others +Caatinga,BAHIA,Morro do Chapéu,3.78,2022,others +Caatinga,BAHIA,Euclides da Cunha,26.48,2022,others +Cerrado,BAHIA,Igaporã,6.89,2022,agriculture +Caatinga,BAHIA,Wanderley,922.42,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,31.57,2022,others +Caatinga,BAHIA,Remanso,0.32,2022,others +Caatinga,BAHIA,Saúde,1.59,2022,others +Caatinga,BAHIA,Iramaia,20.9,2022,others +Caatinga,BAHIA,Juazeiro,109.39,2022,renewable_energy_project +Caatinga,BAHIA,Morro do Chapéu,43.75,2022,others +Caatinga,BAHIA,Brejolândia,6.63,2022,others +Caatinga,BAHIA,Brejolândia,56.95,2022,others +Caatinga,BAHIA,Pilão Arcado,1.05,2022,others +Caatinga,BAHIA,Riacho de Santana,42.95,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.96,2022,others +Caatinga,BAHIA,Ribeira do Amparo,1.57,2022,agriculture +Caatinga,BAHIA,Antas,10.4,2022,others +Caatinga,BAHIA,Sítio do Quinto,1.91,2022,others +Caatinga,BAHIA,Ponto Novo,61.16,2022,others +Caatinga,BAHIA,Cotegipe,30.09,2022,agriculture +Caatinga,BAHIA,Ribeira do Amparo,0.67,2022,others +Caatinga,BAHIA,Riacho de Santana,9.25,2022,others +Caatinga,BAHIA,Nova Soure,3.05,2022,others +Caatinga,BAHIA,Cansanção,5.62,2022,others +Cerrado,BAHIA,Coribe,18.08,2022,agriculture +Caatinga,BAHIA,Cotegipe,49.05,2022,others +Cerrado,BAHIA,Caetité,24.57,2022,renewable_energy_project +Cerrado,BAHIA,Caetité,24.67,2022,urban_expansion +Cerrado,BAHIA,Barreiras,154.47,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.33,2022,agriculture +Cerrado,BAHIA,Riacho de Santana,6.58,2022,agriculture +Cerrado,BAHIA,Brejolândia,29.4,2022,agriculture +Caatinga,BAHIA,Boninal,14.47,2022,agriculture +Caatinga,BAHIA,Jequié,23.0,2022,agriculture +Caatinga,BAHIA,Cotegipe,8.54,2022,agriculture +Caatinga,BAHIA,Ponto Novo,1.99,2022,agriculture +Cerrado,BAHIA,Caetité,20.87,2022,renewable_energy_project +Cerrado,BAHIA,Caetité,24.79,2022,renewable_energy_project +Caatinga,BAHIA,Carinhanha,23.63,2022,others +Caatinga,BAHIA,São Félix do Coribe,18.75,2022,others +Cerrado,BAHIA,Caetité,17.8,2022,mining +Caatinga,BAHIA,Umburanas,20.92,2022,others +Caatinga,BAHIA,Jeremoabo,71.93,2022,others +Caatinga,BAHIA,Monte Santo,2.35,2022,others +Caatinga,BAHIA,Boa Nova,32.06,2022,others +Cerrado,BAHIA,Brejolândia,12.56,2022,agriculture +Mata Atlântica,BAHIA,Entre Rios,1.85,2022,agriculture +Mata Atlântica,BAHIA,Rio Real,1.53,2022,agriculture +Mata Atlântica,BAHIA,Jandaíra,20.7,2022,others +Caatinga,BAHIA,Sítio do Quinto,3.06,2022,others +Caatinga,BAHIA,Carinhanha,50.39,2022,others +Caatinga,BAHIA,Tucano,100.57,2022,others +Caatinga,BAHIA,Jeremoabo,14.49,2022,others +Caatinga,BAHIA,Jacobina,5.09,2022,others +Caatinga,BAHIA,Ribeira do Pombal,1.33,2022,others +Caatinga,BAHIA,Itapicuru,101.93,2022,others +Caatinga,BAHIA,Anagé,10.52,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,5.18,2022,others +Caatinga,BAHIA,Ribeira do Amparo,18.82,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,52.7,2022,others +Caatinga,BAHIA,Itapicuru,8.72,2022,others +Caatinga,BAHIA,Ribeira do Pombal,56.11,2022,others +Caatinga,BAHIA,Ribeira do Amparo,29.81,2022,others +Caatinga,BAHIA,Boa Nova,16.47,2022,others +Mata Atlântica,BAHIA,Araçás,6.45,2022,agriculture +Mata Atlântica,BAHIA,Araçás,3.0,2022,agriculture +Mata Atlântica,BAHIA,Esplanada,1.93,2022,agriculture +Caatinga,BAHIA,Anagé,1.84,2022,others +Mata Atlântica,BAHIA,Esplanada,4.2,2022,agriculture +Mata Atlântica,BAHIA,Itanagra,56.11,2022,agriculture +Mata Atlântica,BAHIA,Mata de São João,2.31,2022,agriculture +Mata Atlântica,BAHIA,Amélia Rodrigues,3.3,2022,agriculture +Mata Atlântica,BAHIA,Mata de São João,1.03,2022,urban_expansion +Mata Atlântica,BAHIA,Simões Filho,1.15,2022,agriculture +Caatinga,BAHIA,Cotegipe,0.99,2022,agriculture +Caatinga,BAHIA,Ribeira do Pombal,5.25,2022,others +Caatinga,BAHIA,Quijingue,9.06,2022,others +Caatinga,BAHIA,Feira da Mata,4.66,2022,others +Caatinga,BAHIA,Brumado,5.35,2022,others +Caatinga,BAHIA,Sítio do Quinto,25.9,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,42.48,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,2.29,2022,others +Caatinga,BAHIA,Serra do Ramalho,40.24,2022,others +Caatinga,BAHIA,Tucano,53.29,2022,agriculture +Cerrado,BAHIA,Igaporã,2.87,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,5.0,2022,agriculture +Caatinga,BAHIA,Piatã,13.5,2022,others +Caatinga,BAHIA,Monte Santo,5.7,2022,others +Caatinga,BAHIA,Carinhanha,7.25,2022,others +Caatinga,BAHIA,Adustina,5.37,2022,others +Cerrado,BAHIA,Igaporã,5.75,2022,agriculture +Caatinga,BAHIA,Tucano,112.84,2022,others +Caatinga,BAHIA,Queimadas,93.34,2022,others +Caatinga,BAHIA,Macaúbas,2.25,2022,others +Mata Atlântica,BAHIA,Macarani,13.3,2022,agriculture +Caatinga,BAHIA,Curaçá,15.6,2022,others +Caatinga,BAHIA,Itapicuru,5.3,2022,agriculture +Caatinga,BAHIA,Itapicuru,2.23,2022,agriculture +Caatinga,BAHIA,Cotegipe,12.81,2022,others +Caatinga,BAHIA,Itapicuru,1.73,2022,others +Caatinga,BAHIA,Piatã,3.65,2022,others +Caatinga,BAHIA,Nova Soure,10.21,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,0.89,2022,agriculture +Caatinga,BAHIA,Caldeirão Grande,30.67,2022,agriculture +Caatinga,BAHIA,Itapicuru,18.47,2022,agriculture +Caatinga,BAHIA,Jacobina,6.75,2022,agriculture +Caatinga,BAHIA,Itapicuru,119.31,2022,agriculture +Caatinga,BAHIA,Queimadas,63.48,2022,agriculture +Caatinga,BAHIA,Cipó,2.33,2022,agriculture +Caatinga,BAHIA,Piatã,25.24,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,19.63,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,6.33,2022,agriculture +Caatinga,BAHIA,Cotegipe,49.15,2022,agriculture +Caatinga,BAHIA,Marcionílio Souza,49.35,2022,agriculture +Caatinga,BAHIA,Ribeira do Amparo,9.25,2022,agriculture +Mata Atlântica,BAHIA,Pedrão,12.16,2022,agriculture +Caatinga,BAHIA,Ribeira do Amparo,5.1,2022,agriculture +Mata Atlântica,BAHIA,Pojuca,3.0,2022,agriculture +Mata Atlântica,BAHIA,Catu,0.68,2022,agriculture +Mata Atlântica,BAHIA,Mata de São João,1.56,2022,urban_expansion +Mata Atlântica,BAHIA,Conceição da Feira,16.22,2022,agriculture +Caatinga,BAHIA,Banzaê,106.77,2022,agriculture +Caatinga,BAHIA,Ituaçu,5.15,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.26,2022,agriculture +Caatinga,BAHIA,Jacobina,3.1,2022,agriculture +Caatinga,BAHIA,Casa Nova,5.61,2022,agriculture +Cerrado,BAHIA,Cotegipe,11.44,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,18.25,2022,agriculture +Cerrado,BAHIA,Jaborandi,13.91,2022,agriculture +Cerrado,BAHIA,Baianópolis,722.1,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,105.99,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,33.08,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,22.21,2022,agriculture +Caatinga,BAHIA,Sítio do Quinto,4.72,2022,agriculture +Caatinga,BAHIA,Angical,19.87,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,13.69,2022,agriculture +Caatinga,BAHIA,Matina,3.44,2022,agriculture +Caatinga,BAHIA,Itapicuru,14.17,2022,agriculture +Caatinga,BAHIA,Cotegipe,9.33,2022,agriculture +Caatinga,BAHIA,Caém,15.01,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,122.73,2022,agriculture +Mata Atlântica,BAHIA,Camacan,7.13,2022,agriculture +Mata Atlântica,BAHIA,Lajedo do Tabocal,12.07,2022,agriculture +Caatinga,BAHIA,Itapicuru,20.09,2022,agriculture +Caatinga,BAHIA,Anagé,5.46,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.7,2022,agriculture +Caatinga,BAHIA,Piatã,14.07,2022,agriculture +Mata Atlântica,BAHIA,Macarani,27.73,2022,agriculture +Cerrado,BAHIA,Cotegipe,18.46,2022,agriculture +Cerrado,BAHIA,Cotegipe,386.17,2022,agriculture +Cerrado,BAHIA,Jaborandi,279.21,2022,agriculture +Caatinga,BAHIA,Itapicuru,1.69,2022,others +Caatinga,BAHIA,Caldeirão Grande,0.7,2022,others +Caatinga,BAHIA,Jeremoabo,311.09,2022,others +Caatinga,BAHIA,Monte Santo,3.33,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,29.71,2022,agriculture +Caatinga,BAHIA,Ituaçu,2.03,2022,agriculture +Caatinga,BAHIA,Santa Brígida,1.37,2022,others +Caatinga,BAHIA,Monte Santo,1.61,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,14.79,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,7.58,2022,others +Caatinga,BAHIA,Caém,13.69,2022,others +Caatinga,BAHIA,Barra,93.79,2022,others +Caatinga,BAHIA,Mirangaba,2.05,2022,others +Caatinga,BAHIA,Itapicuru,6.06,2022,others +Caatinga,BAHIA,Boa Nova,8.85,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,263.58,2022,agriculture +Caatinga,BAHIA,Macaúbas,7.81,2022,others +Caatinga,BAHIA,Érico Cardoso,3.93,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,29.68,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.51,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,3.01,2022,agriculture +Caatinga,BAHIA,Jeremoabo,12.53,2022,agriculture +Caatinga,BAHIA,Urandi,4.95,2022,agriculture +Caatinga,BAHIA,Itapicuru,28.53,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,12.93,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,94.66,2022,agriculture +Caatinga,BAHIA,Ituaçu,4.41,2022,agriculture +Caatinga,BAHIA,Érico Cardoso,10.07,2022,agriculture +Caatinga,BAHIA,Cotegipe,277.34,2022,agriculture +Caatinga,BAHIA,Cotegipe,39.72,2022,agriculture +Caatinga,BAHIA,Anagé,2.4,2022,agriculture +Caatinga,BAHIA,Ribeira do Amparo,5.57,2022,agriculture +Caatinga,BAHIA,Ribeira do Amparo,5.73,2022,agriculture +Caatinga,BAHIA,Ituaçu,1.69,2022,agriculture +Caatinga,BAHIA,Caculé,2.42,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,13.69,2022,agriculture +Caatinga,BAHIA,Monte Santo,2.46,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,29.44,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,18.92,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,23.84,2022,agriculture +Cerrado,BAHIA,Barreiras,148.0,2022,agriculture +Caatinga,BAHIA,Paratinga,5.53,2022,agriculture +Caatinga,BAHIA,Jacaraci,7.01,2022,agriculture +Caatinga,BAHIA,Paulo Afonso,6.74,2022,agriculture +Caatinga,BAHIA,Anagé,0.62,2022,agriculture +Caatinga,BAHIA,Angical,5.71,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,28.88,2022,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,2.32,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,3.02,2022,renewable_energy_project +Mata Atlântica,BAHIA,Camacan,2.01,2022,agriculture +Cerrado,BAHIA,São Desidério,1588.41,2022,agriculture +Mata Atlântica,BAHIA,Itapebi,7.51,2022,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,1.84,2022,agriculture +Cerrado,BAHIA,Jaborandi,1048.97,2022,agriculture +Cerrado,BAHIA,Baianópolis,115.56,2022,agriculture +Cerrado,BAHIA,Baianópolis,283.33,2022,agriculture +Cerrado,BAHIA,Correntina,1556.07,2022,agriculture +Mata Atlântica,BAHIA,Una,0.56,2022,agriculture +Mata Atlântica,BAHIA,Camacan,6.82,2022,agriculture +Caatinga,BAHIA,São Félix do Coribe,6.78,2022,agriculture +Caatinga,BAHIA,Sítio do Quinto,28.57,2022,agriculture +Caatinga,BAHIA,Caraíbas,10.0,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,7.83,2022,agriculture +Caatinga,BAHIA,Ituaçu,32.77,2022,agriculture +Caatinga,BAHIA,Urandi,2.1,2022,agriculture +Caatinga,BAHIA,Coronel João Sá,16.53,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,162.93,2022,agriculture +Caatinga,BAHIA,Jaborandi,12.56,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.65,2022,agriculture +Caatinga,BAHIA,Ibotirama,112.86,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,12.28,2022,agriculture +Caatinga,BAHIA,Buritirama,19.9,2022,agriculture +Caatinga,BAHIA,Boninal,4.93,2022,agriculture +Caatinga,BAHIA,Ribeira do Amparo,2.98,2022,agriculture +Caatinga,BAHIA,Caculé,1.01,2022,agriculture +Caatinga,BAHIA,Jacaraci,2.36,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,301.64,2022,agriculture +Cerrado,BAHIA,São Desidério,74.25,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.5,2022,agriculture +Caatinga,BAHIA,Brejolândia,35.2,2022,agriculture +Caatinga,BAHIA,Sítio do Quinto,3.44,2022,agriculture +Caatinga,BAHIA,Brumado,3.74,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.62,2022,agriculture +Caatinga,BAHIA,Lagoa Real,6.55,2022,agriculture +Caatinga,BAHIA,Piatã,4.73,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,11.01,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,10.4,2022,agriculture +Caatinga,BAHIA,Urandi,4.26,2022,agriculture +Caatinga,BAHIA,Campo Formoso,6.32,2022,agriculture +Caatinga,BAHIA,Bonito,16.59,2022,agriculture +Caatinga,BAHIA,Brumado,3.81,2022,agriculture +Caatinga,BAHIA,Mansidão,2.45,2022,agriculture +Caatinga,BAHIA,Pindobaçu,3.29,2022,agriculture +Caatinga,BAHIA,Caculé,6.92,2022,agriculture +Caatinga,BAHIA,Santa Brígida,18.64,2022,agriculture +Caatinga,BAHIA,Caetité,2.65,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.91,2022,agriculture +Caatinga,BAHIA,Bonito,7.93,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,7.55,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.12,2022,agriculture +Caatinga,BAHIA,Caém,11.15,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,1.69,2022,agriculture +Caatinga,BAHIA,Feira da Mata,30.01,2022,agriculture +Caatinga,BAHIA,Paratinga,3.3,2022,agriculture +Caatinga,BAHIA,Cotegipe,5.24,2022,agriculture +Caatinga,BAHIA,Andaraí,12.78,2022,agriculture +Caatinga,BAHIA,Cotegipe,11.3,2022,agriculture +Caatinga,BAHIA,Wanderley,5.5,2022,agriculture +Caatinga,BAHIA,Iramaia,0.42,2022,agriculture +Caatinga,BAHIA,Rio do Antônio,0.73,2022,agriculture +Caatinga,BAHIA,Brumado,38.91,2022,agriculture +Caatinga,BAHIA,Santana,1.47,2022,others +Caatinga,BAHIA,Serra do Ramalho,4.64,2022,others +Caatinga,BAHIA,Itapicuru,8.49,2022,others +Caatinga,BAHIA,Caém,46.13,2022,others +Caatinga,BAHIA,Seabra,8.3,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,6.64,2022,agriculture +Caatinga,BAHIA,Aracatu,2.89,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,25.7,2022,agriculture +Caatinga,BAHIA,Campo Formoso,3.79,2022,agriculture +Caatinga,BAHIA,Brumado,2.55,2022,agriculture +Caatinga,BAHIA,Bonito,42.8,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,13.48,2022,agriculture +Caatinga,BAHIA,Ituaçu,4.71,2022,agriculture +Caatinga,BAHIA,Lagoa Real,0.64,2022,agriculture +Caatinga,BAHIA,Piatã,2.05,2022,agriculture +Caatinga,BAHIA,Malhada,22.09,2022,agriculture +Caatinga,BAHIA,Guajeru,9.17,2022,agriculture +Caatinga,BAHIA,Aracatu,16.68,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,24.06,2022,others +Caatinga,BAHIA,Novo Horizonte,9.18,2022,agriculture +Caatinga,BAHIA,Boninal,10.58,2022,agriculture +Caatinga,BAHIA,Ituaçu,1.24,2022,agriculture +Caatinga,BAHIA,Urandi,2.59,2022,agriculture +Caatinga,BAHIA,Xique-Xique,7.88,2022,renewable_energy_project +Caatinga,BAHIA,Santaluz,4.75,2022,agriculture +Caatinga,BAHIA,Cipó,18.96,2022,agriculture +Caatinga,BAHIA,Carinhanha,37.11,2022,agriculture +Caatinga,BAHIA,Sobradinho,0.93,2022,others +Caatinga,BAHIA,Caém,4.35,2022,others +Caatinga,BAHIA,Ribeira do Amparo,20.59,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,3116.95,2022,agriculture +Caatinga,BAHIA,Maetinga,5.53,2022,others +Caatinga,BAHIA,Monte Santo,4.39,2022,others +Caatinga,BAHIA,Itapicuru,3.75,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,3.24,2022,others +Caatinga,BAHIA,Casa Nova,4.26,2022,others +Mata Atlântica,BAHIA,Jucuruçu,15.04,2022,agriculture +Caatinga,BAHIA,Cotegipe,36.57,2022,agriculture +Mata Atlântica,BAHIA,Nova Viçosa,2.34,2022,agriculture +Caatinga,BAHIA,Mirangaba,2.6,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,5.32,2022,agriculture +Caatinga,BAHIA,Ibipitanga,8.05,2022,agriculture +Caatinga,BAHIA,Cotegipe,4.78,2022,agriculture +Caatinga,BAHIA,Paulo Afonso,6.53,2022,agriculture +Caatinga,BAHIA,Macaúbas,10.12,2022,agriculture +Caatinga,BAHIA,Rio do Antônio,10.74,2022,others +Caatinga,BAHIA,Boninal,1.17,2022,agriculture +Caatinga,BAHIA,Caculé,106.16,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,4.55,2022,agriculture +Caatinga,BAHIA,Brumado,7.21,2022,agriculture +Caatinga,BAHIA,Cotegipe,6.75,2022,agriculture +Caatinga,BAHIA,Piatã,42.56,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,5.13,2022,agriculture +Caatinga,BAHIA,Lagoa Real,4.71,2022,agriculture +Caatinga,BAHIA,Poções,13.75,2022,agriculture +Caatinga,BAHIA,Santa Brígida,10.28,2022,agriculture +Caatinga,BAHIA,Piatã,15.95,2022,agriculture +Caatinga,BAHIA,Paratinga,5.29,2022,agriculture +Caatinga,BAHIA,Cotegipe,2.54,2022,agriculture +Caatinga,BAHIA,Anagé,16.48,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,2.94,2022,agriculture +Caatinga,BAHIA,Brumado,3.96,2022,agriculture +Caatinga,BAHIA,Angical,58.7,2022,agriculture +Caatinga,BAHIA,Caém,76.51,2022,agriculture +Caatinga,BAHIA,Piatã,2.79,2022,agriculture +Caatinga,BAHIA,Seabra,3.3,2022,agriculture +Caatinga,BAHIA,Cotegipe,6.32,2022,agriculture +Caatinga,BAHIA,Monte Santo,3.65,2022,agriculture +Caatinga,BAHIA,Cotegipe,2.21,2022,agriculture +Caatinga,BAHIA,Brumado,2.57,2022,agriculture +Caatinga,BAHIA,Piatã,15.04,2022,agriculture +Caatinga,BAHIA,Jeremoabo,63.57,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.58,2022,agriculture +Caatinga,BAHIA,Boninal,1.98,2022,agriculture +Caatinga,BAHIA,Tremedal,9.66,2022,agriculture +Caatinga,BAHIA,Ituaçu,0.76,2022,agriculture +Caatinga,BAHIA,Buritirama,12.2,2022,agriculture +Caatinga,BAHIA,Angical,13.13,2022,agriculture +Caatinga,BAHIA,Caculé,6.35,2022,agriculture +Caatinga,BAHIA,Ituaçu,4.35,2022,agriculture +Caatinga,BAHIA,Anagé,5.35,2022,others +Caatinga,BAHIA,Rio do Antônio,12.97,2022,others +Caatinga,BAHIA,Piatã,8.44,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,36.01,2022,others +Caatinga,BAHIA,Marcionílio Souza,10.78,2022,others +Caatinga,BAHIA,Aracatu,8.67,2022,agriculture +Caatinga,BAHIA,Monte Santo,9.47,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,4.23,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,9.9,2022,others +Caatinga,BAHIA,Licínio de Almeida,2.35,2022,others +Caatinga,BAHIA,Angical,118.24,2022,others +Caatinga,BAHIA,Ituaçu,6.73,2022,agriculture +Caatinga,BAHIA,Angical,56.22,2022,others +Caatinga,BAHIA,Sítio do Quinto,56.48,2022,others +Caatinga,BAHIA,Caetité,4.71,2022,others +Caatinga,BAHIA,Malhada,42.69,2022,agriculture +Caatinga,BAHIA,Brumado,20.21,2022,agriculture +Caatinga,BAHIA,Morpará,259.84,2022,others +Caatinga,BAHIA,Boa Nova,1.02,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.19,2022,others +Caatinga,BAHIA,Feira da Mata,45.5,2022,others +Caatinga,BAHIA,Mucugê,15.38,2022,agriculture +Caatinga,BAHIA,Lagoa Real,12.08,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,66.19,2022,others +Caatinga,BAHIA,Jacobina,12.38,2022,others +Caatinga,BAHIA,Buritirama,2.39,2022,others +Caatinga,BAHIA,Itaeté,19.69,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,2.44,2022,others +Caatinga,BAHIA,Licínio de Almeida,10.87,2022,others +Caatinga,BAHIA,Wanderley,19.06,2022,others +Caatinga,BAHIA,Quijingue,16.39,2022,others +Caatinga,BAHIA,Filadélfia,21.48,2022,urban_expansion +Caatinga,BAHIA,Brumado,18.35,2022,others +Caatinga,BAHIA,Mirangaba,9.8,2022,others +Caatinga,BAHIA,Araci,22.31,2022,others +Caatinga,BAHIA,Ituaçu,2.16,2022,others +Caatinga,BAHIA,Ituaçu,1.19,2022,others +Caatinga,BAHIA,Paratinga,1.63,2022,others +Caatinga,BAHIA,Anagé,4.81,2022,others +Caatinga,BAHIA,Santa Brígida,15.66,2022,agriculture +Caatinga,BAHIA,Pindobaçu,2.45,2022,others +Caatinga,BAHIA,Conceição do Coité,2.26,2022,others +Caatinga,BAHIA,Vitória da Conquista,8.4,2022,others +Caatinga,BAHIA,Andaraí,47.93,2022,others +Caatinga,BAHIA,Paratinga,2.19,2022,others +Caatinga,BAHIA,Seabra,1.06,2022,others +Caatinga,BAHIA,Anagé,3.04,2022,others +Caatinga,BAHIA,Morro do Chapéu,3.82,2022,renewable_energy_project +Caatinga,BAHIA,Saúde,0.93,2022,others +Caatinga,BAHIA,Cotegipe,1.39,2022,others +Caatinga,BAHIA,Ibitiara,2.66,2022,others +Caatinga,BAHIA,Campo Formoso,1.92,2022,others +Caatinga,BAHIA,Morpará,37.28,2022,agriculture +Caatinga,BAHIA,Cotegipe,576.18,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.23,2022,agriculture +Caatinga,BAHIA,Monte Santo,23.73,2022,others +Caatinga,BAHIA,Piatã,6.43,2022,others +Caatinga,BAHIA,Pindaí,13.02,2022,others +Caatinga,BAHIA,Riacho de Santana,1.95,2022,agriculture +Caatinga,BAHIA,Iramaia,7.91,2022,others +Caatinga,BAHIA,Wanderley,42.91,2022,agriculture 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de Lourdes,1.03,2022,others +Caatinga,BAHIA,Maracás,1.13,2022,others +Caatinga,BAHIA,Jeremoabo,169.26,2022,agriculture +Mata Atlântica,BAHIA,Porto Seguro,1.27,2022,urban_expansion +Caatinga,BAHIA,Cotegipe,22.87,2022,others +Caatinga,BAHIA,Monte Santo,9.11,2022,others +Caatinga,BAHIA,Itapicuru,2.62,2022,others +Caatinga,BAHIA,Riacho de Santana,12.39,2022,others +Caatinga,BAHIA,Itaeté,35.57,2022,others +Caatinga,BAHIA,Licínio de Almeida,8.35,2022,others +Caatinga,BAHIA,Paratinga,2.48,2022,others +Caatinga,BAHIA,Paratinga,3.62,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,3.01,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,5.35,2022,others +Caatinga,BAHIA,Sebastião Laranjeiras,1.49,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,5.41,2022,others +Caatinga,BAHIA,Santa Brígida,118.32,2022,agriculture +Caatinga,BAHIA,Ponto Novo,2.47,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,5.3,2022,others +Caatinga,BAHIA,Jeremoabo,2.57,2022,others +Caatinga,BAHIA,Aracatu,36.79,2022,others +Caatinga,BAHIA,Caculé,2.69,2022,others +Caatinga,BAHIA,Monte Santo,5.82,2022,others +Caatinga,BAHIA,Sento Sé,0.53,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,0.92,2022,others +Caatinga,BAHIA,São Félix do Coribe,25.54,2022,others +Caatinga,BAHIA,Ituaçu,0.82,2022,others +Caatinga,BAHIA,Licínio de Almeida,1.16,2022,agriculture +Caatinga,BAHIA,Maetinga,20.12,2022,others +Caatinga,BAHIA,Caldeirão Grande,15.08,2022,others +Caatinga,BAHIA,Cotegipe,8.75,2022,others +Caatinga,BAHIA,São Félix do Coribe,7.28,2022,others +Caatinga,BAHIA,Wanderley,452.69,2022,agriculture +Caatinga,BAHIA,Paulo Afonso,4.37,2022,others +Caatinga,BAHIA,Santa Maria da Vitória,179.19,2022,agriculture +Caatinga,BAHIA,Monte Santo,4.89,2022,others +Caatinga,BAHIA,Morro do Chapéu,1.94,2022,others +Caatinga,BAHIA,Carinhanha,10.75,2022,others +Caatinga,BAHIA,Jacobina,1.67,2022,others +Caatinga,BAHIA,Riacho de Santana,18.2,2022,others +Caatinga,BAHIA,Cotegipe,11.87,2022,others +Caatinga,BAHIA,Curaçá,10.56,2022,others +Caatinga,BAHIA,Coronel João Sá,5.48,2022,others +Mata Atlântica,BAHIA,Prado,0.79,2022,agriculture +Mata Atlântica,BAHIA,Prado,11.5,2022,agriculture +Mata Atlântica,BAHIA,Guaratinga,2.15,2022,agriculture +Mata Atlântica,BAHIA,Porto Seguro,10.1,2022,agriculture +Mata Atlântica,BAHIA,Itabela,0.88,2022,agriculture +Caatinga,BAHIA,Barra da Estiva,33.48,2022,others +Caatinga,BAHIA,Ibiquera,6.47,2022,ilegal_mining +Caatinga,BAHIA,Brumado,11.64,2022,others +Caatinga,BAHIA,Iramaia,65.33,2022,agriculture +Caatinga,BAHIA,São Félix do Coribe,22.67,2022,others +Caatinga,BAHIA,Bonito,16.51,2022,others +Caatinga,BAHIA,Pindobaçu,18.13,2022,others +Caatinga,BAHIA,Brumado,11.37,2022,others +Caatinga,BAHIA,Caetité,4.28,2022,others +Caatinga,BAHIA,Ituaçu,1.8,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,3.56,2022,others +Caatinga,BAHIA,Planalto,4.58,2022,others +Caatinga,BAHIA,Araci,2.77,2022,others +Caatinga,BAHIA,Anagé,7.85,2022,others +Caatinga,BAHIA,Tucano,35.04,2022,others +Caatinga,BAHIA,Anagé,1.13,2022,others +Caatinga,BAHIA,Ibotirama,1.08,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,1.61,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,24.46,2022,others +Caatinga,BAHIA,Anagé,0.65,2022,others +Caatinga,BAHIA,Itapicuru,2.63,2022,agriculture +Caatinga,BAHIA,Cotegipe,7.61,2022,others +Caatinga,BAHIA,Cotegipe,29.51,2022,others +Caatinga,BAHIA,Pilão Arcado,1.18,2022,others +Caatinga,BAHIA,Caetité,1.63,2022,others +Caatinga,BAHIA,Malhada,3.11,2022,others +Caatinga,BAHIA,Santana,53.7,2022,others +Caatinga,BAHIA,Pilão Arcado,0.96,2022,others +Caatinga,BAHIA,Riacho de Santana,10.29,2022,others +Caatinga,BAHIA,Caraíbas,21.41,2022,others +Caatinga,BAHIA,Sento Sé,0.63,2022,others +Mata Atlântica,BAHIA,Santa Luzia,1.9,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,3.55,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,2.09,2022,urban_expansion +Mata Atlântica,BAHIA,Santa Luzia,2.57,2022,agriculture +Caatinga,BAHIA,Caculé,5.97,2022,others +Caatinga,BAHIA,Marcionílio Souza,12.71,2022,others +Mata Atlântica,BAHIA,Itagi,1.21,2022,agriculture +Mata Atlântica,BAHIA,Igrapiúna,1.18,2022,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,0.9,2022,agriculture +Mata Atlântica,BAHIA,Itagi,7.57,2022,agriculture +Caatinga,BAHIA,Jaborandi,24.93,2022,others +Mata Atlântica,BAHIA,Belmonte,59.37,2022,agriculture +Mata Atlântica,BAHIA,Boa Nova,1.27,2022,agriculture +Caatinga,BAHIA,Santana,64.35,2022,agriculture +Caatinga,BAHIA,Boa Nova,4.39,2022,agriculture +Caatinga,BAHIA,Mirangaba,4.77,2022,agriculture +Caatinga,BAHIA,Paratinga,8.86,2022,agriculture +Caatinga,BAHIA,Itapicuru,122.79,2022,agriculture +Caatinga,BAHIA,Mirangaba,0.64,2022,agriculture +Caatinga,BAHIA,Rio de Contas,18.52,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,17.13,2022,agriculture +Caatinga,BAHIA,Caetité,1.46,2022,agriculture +Caatinga,BAHIA,Boninal,2.28,2022,agriculture +Caatinga,BAHIA,Pindaí,9.19,2022,agriculture +Caatinga,BAHIA,Sítio do Quinto,7.49,2022,agriculture +Caatinga,BAHIA,Ponto Novo,16.25,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.67,2022,agriculture +Caatinga,BAHIA,Caculé,2.11,2022,agriculture +Caatinga,BAHIA,Anagé,14.04,2022,agriculture +Caatinga,BAHIA,Vitória da Conquista,2.29,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,1.7,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,8.56,2022,renewable_energy_project +Caatinga,BAHIA,Quixabeira,6.64,2022,others +Caatinga,BAHIA,Monte Santo,1.23,2022,others +Caatinga,BAHIA,Piatã,32.19,2022,others +Caatinga,BAHIA,Tucano,10.31,2022,others +Caatinga,BAHIA,Riacho de Santana,11.34,2022,others +Caatinga,BAHIA,Barra,14.04,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,13.47,2022,agriculture +Caatinga,BAHIA,Piatã,14.98,2022,agriculture +Caatinga,BAHIA,Monte Santo,5.95,2022,agriculture +Caatinga,BAHIA,Coronel João Sá,11.62,2022,others +Caatinga,BAHIA,Barra,229.96,2022,others +Caatinga,BAHIA,Boninal,0.31,2022,others +Caatinga,BAHIA,Ribeira do Amparo,8.3,2022,others +Caatinga,BAHIA,Curaçá,15.21,2022,agriculture +Caatinga,BAHIA,Jeremoabo,48.98,2022,agriculture +Caatinga,BAHIA,Ituaçu,3.07,2022,others +Caatinga,BAHIA,Malhada,4.65,2022,others +Caatinga,BAHIA,Ribeira do Amparo,28.32,2022,agriculture +Caatinga,BAHIA,Ribeira do Amparo,62.83,2022,agriculture +Caatinga,BAHIA,Urandi,23.94,2022,others +Caatinga,BAHIA,São Félix do Coribe,56.81,2022,others +Caatinga,BAHIA,Buritirama,4.67,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,8.19,2022,agriculture +Caatinga,BAHIA,Monte Santo,0.53,2022,agriculture +Caatinga,BAHIA,Serra Dourada,8.08,2022,others +Caatinga,BAHIA,Urandi,10.36,2022,agriculture +Caatinga,BAHIA,Monte Santo,10.75,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,5.73,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,6.34,2022,others +Cerrado,BAHIA,Jaborandi,2470.16,2022,agriculture +Mata Atlântica,BAHIA,Itarantim,18.82,2022,agriculture +Mata Atlântica,BAHIA,Amargosa,4.73,2022,agriculture +Mata Atlântica,BAHIA,Valença,3.83,2022,agriculture +Mata Atlântica,BAHIA,Itarantim,9.73,2022,agriculture +Mata Atlântica,BAHIA,Lajedo do Tabocal,0.46,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.73,2022,agriculture +Mata Atlântica,BAHIA,Itaquara,21.18,2022,agriculture +Mata Atlântica,BAHIA,Itapebi,15.58,2022,agriculture +Mata Atlântica,BAHIA,Potiraguá,9.21,2022,agriculture +Caatinga,BAHIA,Jacobina,0.64,2022,others +Mata Atlântica,BAHIA,Mascote,0.57,2022,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,1.18,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.69,2022,agriculture +Mata Atlântica,BAHIA,Maiquinique,1.15,2022,mining +Mata Atlântica,BAHIA,Lajedo do Tabocal,1.99,2022,agriculture +Mata Atlântica,BAHIA,Camamu,7.17,2022,agriculture +Mata Atlântica,BAHIA,Mascote,0.69,2022,agriculture +Caatinga,BAHIA,Sítio do Quinto,4.48,2022,others +Mata Atlântica,BAHIA,Una,1.89,2022,agriculture +Caatinga,BAHIA,Curaçá,3.53,2022,others +Mata Atlântica,BAHIA,Ribeirão do Largo,1.74,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.98,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,2.27,2022,agriculture +Mata Atlântica,BAHIA,Lajedo do Tabocal,11.76,2022,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,4.48,2022,agriculture +Mata Atlântica,BAHIA,Nazaré,0.68,2022,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,15.45,2022,agriculture +Mata Atlântica,BAHIA,Canavieiras,8.75,2022,agriculture +Mata Atlântica,BAHIA,Caatiba,2.43,2022,agriculture +Mata Atlântica,BAHIA,Iguaí,0.58,2022,agriculture +Mata Atlântica,BAHIA,Santo Antônio de Jesus,1.57,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.69,2022,agriculture +Mata Atlântica,BAHIA,Santa Luzia,0.5,2022,agriculture +Mata Atlântica,BAHIA,Maracás,1.99,2022,agriculture +Caatinga,BAHIA,Ituaçu,1.05,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,4.23,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,1.16,2022,agriculture +Caatinga,BAHIA,Caém,17.91,2022,others +Caatinga,BAHIA,Itapicuru,12.24,2022,others +Caatinga,BAHIA,Caém,12.68,2022,others +Caatinga,BAHIA,Ribeira do Amparo,10.26,2022,others +Caatinga,BAHIA,Brumado,7.8,2022,agriculture +Mata Atlântica,BAHIA,Itagibá,5.32,2022,agriculture +Caatinga,BAHIA,Boa Nova,8.68,2022,agriculture +Caatinga,BAHIA,Pindobaçu,9.49,2022,agriculture +Caatinga,BAHIA,Piatã,2.0,2022,agriculture +Mata Atlântica,BAHIA,Itiruçu,5.77,2022,agriculture +Mata Atlântica,BAHIA,Mascote,3.24,2022,agriculture +Caatinga,BAHIA,Jacaraci,8.85,2022,others +Caatinga,BAHIA,Boa Nova,3.17,2022,others +Mata Atlântica,BAHIA,Itapebi,8.32,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,26.78,2022,agriculture +Mata Atlântica,BAHIA,Macarani,2.1,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,5.8,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,3454.91,2022,agriculture +Mata Atlântica,BAHIA,Canavieiras,3.37,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,0.73,2022,urban_expansion +Mata Atlântica,BAHIA,Macarani,2.78,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,1.66,2022,agriculture +Mata Atlântica,BAHIA,Santa Inês,2.36,2022,urban_expansion +Mata Atlântica,BAHIA,Belo Campo,4.03,2022,agriculture +Caatinga,BAHIA,Curaçá,6.08,2022,others +Mata Atlântica,BAHIA,Irajuba,0.48,2022,agriculture +Mata Atlântica,BAHIA,Itarantim,6.98,2022,agriculture +Mata Atlântica,BAHIA,Aiquara,9.72,2022,agriculture +Mata Atlântica,BAHIA,Jaguaquara,1.62,2022,agriculture +Mata Atlântica,BAHIA,Macarani,8.05,2022,agriculture +Caatinga,BAHIA,Nova Soure,163.12,2022,agriculture +Caatinga,BAHIA,Caém,13.08,2022,others +Mata Atlântica,BAHIA,Dário Meira,21.15,2022,agriculture +Caatinga,BAHIA,Jequié,9.74,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.23,2022,others +Caatinga,BAHIA,Antas,3.74,2022,others +Cerrado,BAHIA,Jaborandi,1986.71,2022,agriculture +Caatinga,BAHIA,Boa Nova,10.14,2022,agriculture +Caatinga,BAHIA,Jequié,5.07,2022,agriculture +Caatinga,BAHIA,Poções,15.85,2022,agriculture +Mata Atlântica,BAHIA,Jaguaquara,3.44,2022,agriculture +Caatinga,BAHIA,Maracás,5.93,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,2.17,2022,agriculture +Mata Atlântica,BAHIA,Jequié,2.64,2022,agriculture +Mata Atlântica,BAHIA,Macarani,5.0,2022,agriculture +Mata Atlântica,BAHIA,Itarantim,15.55,2022,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,1.65,2022,agriculture +Mata Atlântica,BAHIA,Itambé,12.52,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,1.33,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,57.62,2022,agriculture +Mata Atlântica,BAHIA,Ituberá,2.13,2022,agriculture +Mata Atlântica,BAHIA,Canavieiras,5.48,2022,agriculture +Mata Atlântica,BAHIA,Itambé,4.86,2022,agriculture +Mata Atlântica,BAHIA,Una,3.48,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,23.27,2022,agriculture +Mata Atlântica,BAHIA,Ibicuí,3.41,2022,agriculture +Mata Atlântica,BAHIA,Belo Campo,3.96,2022,agriculture +Mata Atlântica,BAHIA,Santa Inês,2.25,2022,agriculture +Mata Atlântica,BAHIA,Iguaí,0.96,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,6.25,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.72,2022,agriculture +Mata Atlântica,BAHIA,Santa Luzia,4.45,2022,agriculture +Mata Atlântica,BAHIA,Dário Meira,13.74,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,9.89,2022,urban_expansion +Mata Atlântica,BAHIA,Itagi,6.25,2022,agriculture +Mata Atlântica,BAHIA,Ubaíra,3.52,2022,agriculture +Mata Atlântica,BAHIA,Itagibá,5.3,2022,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,10.95,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,3.58,2022,agriculture +Mata Atlântica,BAHIA,Iguaí,2.19,2022,agriculture +Mata Atlântica,BAHIA,Brejões,3.66,2022,agriculture +Mata Atlântica,BAHIA,Maracás,3.65,2022,urban_expansion +Mata Atlântica,BAHIA,Jaguaquara,3.97,2022,urban_expansion +Mata Atlântica,BAHIA,Itacaré,2.39,2022,agriculture +Mata Atlântica,BAHIA,Santa Terezinha,2.15,2022,agriculture +Caatinga,BAHIA,Quijingue,22.81,2022,others +Caatinga,BAHIA,Euclides da Cunha,10.29,2022,others +Caatinga,BAHIA,Nova Soure,206.74,2022,others +Cerrado,BAHIA,Jaborandi,2455.87,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,39.41,2022,others +Caatinga,BAHIA,Barra,758.46,2022,agriculture +Caatinga,BAHIA,Jeremoabo,20.83,2022,agriculture +Caatinga,BAHIA,Brumado,78.8,2022,others +Caatinga,BAHIA,Morro do Chapéu,5.02,2022,others +Caatinga,BAHIA,Ribeira do Amparo,13.51,2022,others +Caatinga,BAHIA,Itapicuru,14.83,2022,agriculture +Caatinga,BAHIA,Queimadas,36.2,2022,others +Cerrado,BAHIA,São Desidério,15.32,2022,agriculture +Cerrado,BAHIA,Baianópolis,11.16,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1.92,2022,agriculture +Cerrado,BAHIA,Cotegipe,6.63,2022,agriculture +Cerrado,BAHIA,Jaborandi,5.16,2022,agriculture +Cerrado,BAHIA,Canápolis,5.72,2022,agriculture +Cerrado,BAHIA,Jaborandi,2.28,2022,agriculture +Caatinga,BAHIA,Maracás,52.04,2022,natural_cause +Caatinga,BAHIA,Ibiquera,29.89,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,2.81,2022,agriculture +Cerrado,BAHIA,Barreiras,6.07,2022,agriculture +Cerrado,BAHIA,Barreiras,1.72,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,1.51,2022,agriculture +Cerrado,BAHIA,Cotegipe,2.07,2022,agriculture +Cerrado,BAHIA,Cristópolis,3.39,2022,agriculture +Cerrado,BAHIA,Caetité,1.61,2022,agriculture +Cerrado,BAHIA,São Desidério,3.27,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.86,2022,agriculture +Cerrado,BAHIA,São Desidério,10.39,2022,agriculture +Cerrado,BAHIA,Cotegipe,2.12,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.84,2022,agriculture +Caatinga,BAHIA,Coribe,13.83,2022,agriculture +Caatinga,BAHIA,São Gabriel,7.26,2022,agriculture +Caatinga,BAHIA,Anagé,6.07,2022,agriculture +Caatinga,BAHIA,Ribeira do Pombal,16.59,2022,agriculture +Caatinga,BAHIA,Boa Nova,1.43,2022,agriculture +Caatinga,BAHIA,Brumado,10.83,2022,agriculture +Mata Atlântica,BAHIA,Milagres,24.23,2022,agriculture +Mata Atlântica,BAHIA,Lajedo do Tabocal,3.21,2022,agriculture +Mata Atlântica,BAHIA,Milagres,4.85,2022,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,5.05,2022,agriculture +Caatinga,BAHIA,Wanderley,17.38,2022,agriculture +Caatinga,BAHIA,Barra,1.37,2022,agriculture +Caatinga,BAHIA,Sítio do Mato,3.84,2022,agriculture +Caatinga,BAHIA,Carinhanha,1.58,2022,agriculture +Mata Atlântica,BAHIA,Água Fria,115.11,2022,agriculture +Mata Atlântica,BAHIA,Itiruçu,1.08,2022,agriculture +Mata Atlântica,BAHIA,Laje,2.38,2022,agriculture +Cerrado,BAHIA,Santana,1.36,2022,agriculture +Mata Atlântica,BAHIA,Brejões,3.22,2022,agriculture +Mata Atlântica,BAHIA,São Gonçalo dos Campos,80.24,2022,agriculture +Mata Atlântica,BAHIA,Água Fria,38.65,2022,agriculture +Mata Atlântica,BAHIA,Água Fria,25.9,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,6.31,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,0.84,2022,agriculture +Caatinga,BAHIA,Buritirama,1.8,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,6.31,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,1.25,2022,agriculture +Caatinga,BAHIA,Remanso,8.12,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,33.57,2022,agriculture +Caatinga,BAHIA,Buritirama,0.95,2022,agriculture +Caatinga,BAHIA,Barra,1.71,2022,agriculture +Caatinga,BAHIA,Paratinga,1.71,2022,agriculture +Caatinga,BAHIA,Ipupiara,0.27,2022,agriculture +Caatinga,BAHIA,Barra,2.49,2022,agriculture +Caatinga,BAHIA,Santana,5.82,2022,agriculture +Mata Atlântica,BAHIA,Lajedo do Tabocal,5.55,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,2.13,2022,agriculture +Caatinga,BAHIA,Barra,0.79,2022,agriculture +Caatinga,BAHIA,Brejolândia,3.28,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.85,2022,agriculture +Caatinga,BAHIA,Ipupiara,0.79,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,24.23,2022,agriculture +Mata Atlântica,BAHIA,Irajuba,21.75,2022,agriculture +Mata Atlântica,BAHIA,Lajedo do Tabocal,10.48,2022,agriculture +Mata Atlântica,BAHIA,Lafaiete Coutinho,0.79,2022,agriculture +Mata Atlântica,BAHIA,Jequié,29.08,2022,urban_expansion +Mata Atlântica,BAHIA,Itiruçu,9.81,2022,agriculture +Caatinga,BAHIA,Anagé,1.26,2022,agriculture +Caatinga,BAHIA,Buritirama,1.33,2022,agriculture +Caatinga,BAHIA,Barra,1.64,2022,agriculture +Caatinga,BAHIA,Buritirama,0.86,2022,agriculture +Caatinga,BAHIA,Buritirama,3.55,2022,agriculture +Caatinga,BAHIA,Mansidão,1.47,2022,agriculture +Caatinga,BAHIA,Anagé,5.01,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,0.39,2022,agriculture +Caatinga,BAHIA,Paratinga,8.6,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.64,2022,agriculture +Caatinga,BAHIA,Piatã,3.36,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,2.01,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.35,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.87,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.87,2022,agriculture +Cerrado,BAHIA,Mansidão,3.43,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.61,2022,agriculture +Cerrado,BAHIA,Canápolis,0.88,2022,agriculture +Cerrado,BAHIA,Coribe,4.29,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,13.71,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,3.47,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,36.4,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,22.78,2022,agriculture +Caatinga,BAHIA,Quijingue,11.43,2022,others +Caatinga,BAHIA,Remanso,10.98,2022,others +Caatinga,BAHIA,Ibitiara,0.5,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.24,2022,agriculture +Caatinga,BAHIA,Santana,40.61,2022,agriculture +Caatinga,BAHIA,Condeúba,14.32,2022,agriculture +Caatinga,BAHIA,Tremedal,3.92,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.77,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.1,2022,agriculture +Caatinga,BAHIA,Paratinga,4.52,2022,agriculture +Caatinga,BAHIA,Buritirama,1.4,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.9,2022,agriculture +Caatinga,BAHIA,Paratinga,2.55,2022,agriculture +Caatinga,BAHIA,Cotegipe,6.06,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.94,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,0.73,2022,agriculture +Cerrado,BAHIA,Canápolis,2.58,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,3.51,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,0.66,2022,agriculture +Cerrado,BAHIA,Igaporã,3.7,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,4.3,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,0.91,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,12.73,2022,agriculture +Cerrado,BAHIA,Santana,1.02,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,2.51,2022,agriculture +Caatinga,BAHIA,Macaúbas,5.5,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.59,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.82,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,14.51,2022,agriculture +Caatinga,BAHIA,Ibipeba,42.1,2022,renewable_energy_project +Caatinga,BAHIA,Buritirama,1.86,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.7,2022,others +Caatinga,BAHIA,Remanso,5.77,2022,others +Caatinga,BAHIA,Remanso,1.93,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,7.23,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,17.56,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,1.24,2022,others +Caatinga,BAHIA,Paratinga,3.61,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,3.94,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,6.17,2022,others +Caatinga,BAHIA,Carinhanha,28.44,2022,others +Caatinga,BAHIA,Buritirama,1.19,2022,agriculture +Caatinga,BAHIA,Remanso,0.94,2022,others +Caatinga,BAHIA,Novo Horizonte,11.02,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,13.36,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,22.32,2022,agriculture +Caatinga,BAHIA,Monte Santo,30.18,2022,agriculture +Caatinga,BAHIA,Carinhanha,4.88,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,4.0,2022,others +Caatinga,BAHIA,Buritirama,2.93,2022,others +Caatinga,BAHIA,Casa Nova,8.14,2022,others +Caatinga,BAHIA,Buritirama,2.08,2022,others +Caatinga,BAHIA,Ibitiara,2.91,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.15,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.37,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,20.97,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,7.36,2022,others +Caatinga,BAHIA,Brumado,3.78,2022,others +Cerrado,BAHIA,São Desidério,50.71,2022,agriculture +Caatinga,BAHIA,Jeremoabo,33.8,2022,agriculture +Caatinga,BAHIA,Antas,23.35,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,29.6,2022,agriculture +Caatinga,BAHIA,Angical,22.94,2022,agriculture +Cerrado,BAHIA,Igaporã,3.13,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1.53,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,76.15,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,47.89,2022,agriculture +Caatinga,BAHIA,Buritirama,2.25,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,0.69,2022,agriculture +Caatinga,BAHIA,Santa Terezinha,1.96,2022,others +Caatinga,BAHIA,Barra,2.25,2022,others +Caatinga,BAHIA,Paratinga,2.82,2022,others +Caatinga,BAHIA,Tanhaçu,7.71,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,13.43,2022,others +Caatinga,BAHIA,Guajeru,16.6,2022,agriculture +Caatinga,BAHIA,Anagé,5.36,2022,others +Cerrado,BAHIA,Matina,4.32,2022,agriculture +Caatinga,BAHIA,Buritirama,0.64,2022,others +Caatinga,BAHIA,Paratinga,2.15,2022,others +Caatinga,BAHIA,Matina,2.49,2022,others +Caatinga,BAHIA,Morpará,1.11,2022,others +Caatinga,BAHIA,Macaúbas,2.09,2022,others +Caatinga,BAHIA,Carinhanha,8.2,2022,others +Caatinga,BAHIA,Várzea Nova,2.21,2022,others +Cerrado,BAHIA,Matina,11.55,2022,agriculture +Cerrado,BAHIA,Cotegipe,2.26,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.72,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,0.6,2022,agriculture +Cerrado,BAHIA,Jaborandi,3.62,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,2.77,2022,agriculture +Cerrado,BAHIA,Cocos,2.9,2022,agriculture +Cerrado,BAHIA,Coribe,29.31,2022,agriculture +Cerrado,BAHIA,Jaborandi,3.49,2022,agriculture +Cerrado,BAHIA,Jaborandi,19.32,2022,agriculture +Cerrado,BAHIA,Baianópolis,3.3,2022,agriculture +Cerrado,BAHIA,Correntina,21.93,2022,agriculture +Cerrado,BAHIA,Barreiras,11.55,2022,agriculture +Cerrado,BAHIA,Brejolândia,1.72,2022,agriculture +Cerrado,BAHIA,Caetité,4.46,2022,agriculture +Cerrado,BAHIA,Caetité,0.86,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,18.22,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.89,2022,agriculture +Cerrado,BAHIA,Canápolis,2.75,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.51,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.39,2022,agriculture +Caatinga,BAHIA,Macaúbas,0.89,2022,agriculture +Caatinga,BAHIA,Boninal,16.49,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.71,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,2.75,2022,agriculture +Caatinga,BAHIA,Buritirama,2.5,2022,agriculture +Caatinga,BAHIA,Buritirama,2.81,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.26,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.21,2022,agriculture +Cerrado,BAHIA,Cocos,32.61,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,5.57,2022,agriculture +Cerrado,BAHIA,Macaúbas,1.14,2022,agriculture +Cerrado,BAHIA,Caetité,0.85,2022,agriculture +Cerrado,BAHIA,Canápolis,3.42,2022,agriculture +Cerrado,BAHIA,Coribe,10.66,2022,agriculture +Caatinga,BAHIA,Macaúbas,0.39,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,3.18,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,2.22,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,51.68,2022,agriculture +Cerrado,BAHIA,Caetité,8.48,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,92.6,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,6.16,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,184.17,2022,agriculture +Cerrado,BAHIA,Cocos,4.49,2022,agriculture +Cerrado,BAHIA,Caetité,6.65,2022,others +Cerrado,BAHIA,Cocos,5.69,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.99,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,116.34,2022,agriculture +Cerrado,BAHIA,Cocos,11.57,2022,agriculture +Cerrado,BAHIA,Baianópolis,3.32,2022,agriculture +Cerrado,BAHIA,Igaporã,2.72,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,727.24,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.89,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.31,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.32,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,12.57,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.16,2022,agriculture +Cerrado,BAHIA,Riacho de Santana,6.36,2022,agriculture +Cerrado,BAHIA,Macaúbas,0.68,2022,agriculture +Caatinga,BAHIA,Casa Nova,7.75,2022,agriculture +Caatinga,BAHIA,Barra,0.47,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,116.2,2022,agriculture +Cerrado,BAHIA,Matina,2.16,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.98,2022,agriculture +Cerrado,BAHIA,Canápolis,2.97,2022,agriculture +Caatinga,BAHIA,Cocos,43.15,2022,agriculture +Cerrado,BAHIA,Serra Dourada,0.42,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,28.64,2022,agriculture +Cerrado,BAHIA,Caetité,1.88,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,5.93,2022,agriculture +Caatinga,BAHIA,Carinhanha,11.31,2022,agriculture +Caatinga,BAHIA,Anagé,1.58,2022,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,7.12,2022,agriculture +Caatinga,BAHIA,Buritirama,3.49,2022,agriculture +Cerrado,BAHIA,Mortugaba,2.08,2022,others +Cerrado,BAHIA,Correntina,1501.45,2022,agriculture +Cerrado,BAHIA,Igaporã,0.77,2022,agriculture +Cerrado,BAHIA,Baianópolis,60.14,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,25.92,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,4.87,2022,agriculture +Caatinga,BAHIA,Botuporã,3.65,2022,agriculture +Caatinga,BAHIA,Sento Sé,7.7,2022,agriculture +Caatinga,BAHIA,Cocos,8.73,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,17.23,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.46,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,12.05,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,3.57,2022,agriculture +Caatinga,BAHIA,Carinhanha,8.89,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.61,2022,agriculture +Caatinga,BAHIA,Boninal,24.87,2022,agriculture +Caatinga,BAHIA,Sento Sé,2.18,2022,agriculture +Caatinga,BAHIA,Jacaraci,4.93,2022,agriculture +Caatinga,BAHIA,Casa Nova,0.63,2022,agriculture +Caatinga,BAHIA,Buritirama,1.34,2022,agriculture +Caatinga,BAHIA,Buritirama,0.58,2022,agriculture +Caatinga,BAHIA,Macaúbas,1.11,2022,agriculture +Caatinga,BAHIA,Casa Nova,4.71,2022,agriculture +Caatinga,BAHIA,Brumado,12.07,2022,agriculture +Caatinga,BAHIA,Buritirama,3.23,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,1.56,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,5.25,2022,agriculture +Caatinga,BAHIA,Cafarnaum,2.26,2022,agriculture +Caatinga,BAHIA,Barra,1.76,2022,agriculture +Caatinga,BAHIA,Buritirama,0.89,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,7.58,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.44,2022,agriculture +Caatinga,BAHIA,Buritirama,1.58,2022,agriculture +Caatinga,BAHIA,Ibitiara,2.99,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,2.66,2022,agriculture +Caatinga,BAHIA,Carinhanha,4.8,2022,agriculture +Caatinga,BAHIA,Buritirama,1.19,2022,agriculture +Caatinga,BAHIA,Anagé,2.88,2022,agriculture +Caatinga,BAHIA,Maracás,15.18,2022,agriculture +Caatinga,BAHIA,Iramaia,15.18,2022,agriculture +Caatinga,BAHIA,Cocos,14.31,2022,agriculture +Caatinga,BAHIA,Sento Sé,2.8,2022,agriculture +Caatinga,BAHIA,Mirante,6.13,2022,agriculture +Caatinga,BAHIA,Rio de Contas,1.79,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.05,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1.38,2022,agriculture +Cerrado,BAHIA,Matina,3.48,2022,agriculture +Cerrado,BAHIA,Serra Dourada,22.71,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,12.98,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,15.21,2022,agriculture +Cerrado,BAHIA,Canápolis,3.43,2022,agriculture +Caatinga,BAHIA,Remanso,1.71,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.22,2022,agriculture +Caatinga,BAHIA,Buritirama,1.23,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.75,2022,agriculture +Caatinga,BAHIA,Buritirama,3.16,2022,agriculture +Caatinga,BAHIA,Buritirama,4.43,2022,agriculture +Caatinga,BAHIA,Carinhanha,10.32,2022,agriculture +Caatinga,BAHIA,Caetité,3.6,2022,agriculture +Caatinga,BAHIA,América Dourada,13.05,2022,agriculture +Caatinga,BAHIA,Cordeiros,1.93,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,11.63,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,2.47,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.67,2022,others +Caatinga,BAHIA,Cotegipe,36.85,2022,agriculture +Caatinga,BAHIA,Condeúba,50.1,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,5.26,2022,others +Caatinga,BAHIA,Barra,1.8,2022,agriculture +Caatinga,BAHIA,Macaúbas,0.87,2022,agriculture +Caatinga,BAHIA,Macaúbas,4.91,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.59,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,266.44,2022,agriculture +Cerrado,BAHIA,Matina,6.6,2022,agriculture +Cerrado,BAHIA,Canápolis,1.26,2022,agriculture +Cerrado,BAHIA,Canápolis,5.7,2022,agriculture +Caatinga,BAHIA,Condeúba,2.62,2022,agriculture +Cerrado,BAHIA,Barreiras,17.58,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,37.5,2022,agriculture +Caatinga,BAHIA,Curaçá,11.22,2022,agriculture +Caatinga,BAHIA,Buritirama,1.25,2022,others +Caatinga,BAHIA,Barra,1.68,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,3.1,2022,others +Caatinga,BAHIA,Pilão Arcado,2.28,2022,others +Caatinga,BAHIA,Buritirama,1.45,2022,others +Caatinga,BAHIA,Brumado,3.61,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,2406.65,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.25,2022,others +Cerrado,BAHIA,Riachão das Neves,2.23,2022,agriculture +Caatinga,BAHIA,Santana,15.54,2022,agriculture +Caatinga,BAHIA,Olindina,10.47,2022,agriculture +Caatinga,BAHIA,Barra,16.0,2022,others +Caatinga,BAHIA,Tanhaçu,5.27,2022,others +Caatinga,BAHIA,Brumado,2.83,2022,others +Caatinga,BAHIA,Jussiape,16.81,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.82,2022,agriculture +Caatinga,BAHIA,Boninal,4.4,2022,agriculture +Caatinga,BAHIA,Ituaçu,24.62,2022,agriculture +Caatinga,BAHIA,Botuporã,1.81,2022,agriculture +Caatinga,BAHIA,Serra do Ramalho,10.08,2022,agriculture +Caatinga,BAHIA,Buritirama,1.1,2022,agriculture +Caatinga,BAHIA,Ituaçu,1.08,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.6,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.43,2022,agriculture +Caatinga,BAHIA,Brumado,4.66,2022,others +Caatinga,BAHIA,Iaçu,9.98,2022,agriculture +Caatinga,BAHIA,Carinhanha,17.7,2022,agriculture +Caatinga,BAHIA,Carinhanha,3.92,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,11.44,2022,agriculture +Caatinga,BAHIA,Buritirama,1.06,2022,agriculture +Caatinga,BAHIA,Macaúbas,1.83,2022,agriculture +Caatinga,BAHIA,Boninal,2.21,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.35,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.93,2022,agriculture +Caatinga,BAHIA,Itaeté,39.27,2022,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,27.63,2022,agriculture +Caatinga,BAHIA,Dom Basílio,4.61,2022,agriculture +Caatinga,BAHIA,Brumado,7.07,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,8.74,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,1.87,2022,agriculture +Caatinga,BAHIA,Carinhanha,11.09,2022,agriculture +Caatinga,BAHIA,Carinhanha,4.91,2022,others +Caatinga,BAHIA,Guajeru,6.2,2022,others +Caatinga,BAHIA,Buritirama,0.71,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,7.1,2022,agriculture +Caatinga,BAHIA,Buritirama,2.41,2022,others +Caatinga,BAHIA,Ibipitanga,5.87,2022,others +Caatinga,BAHIA,Brumado,6.53,2022,others +Caatinga,BAHIA,Matina,3.34,2022,others +Caatinga,BAHIA,Contendas do Sincorá,3.25,2022,others +Caatinga,BAHIA,Angical,1.46,2022,agriculture +Caatinga,BAHIA,Paramirim,1.37,2022,others +Caatinga,BAHIA,Casa Nova,0.89,2022,others +Caatinga,BAHIA,Casa Nova,2.85,2022,others +Caatinga,BAHIA,São Félix do Coribe,5.76,2022,others +Caatinga,BAHIA,Barra,2.81,2022,others +Caatinga,BAHIA,Barra,1.23,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,0.4,2022,others +Caatinga,BAHIA,Malhada,3.38,2022,others +Caatinga,BAHIA,Buritirama,2.01,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,2.36,2022,others +Caatinga,BAHIA,Buritirama,1.45,2022,others +Caatinga,BAHIA,Pilão Arcado,1.49,2022,others +Caatinga,BAHIA,Angical,2.91,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,2.34,2022,others +Caatinga,BAHIA,Paratinga,2.81,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.07,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.81,2022,others +Caatinga,BAHIA,Riacho de Santana,2.26,2022,others +Caatinga,BAHIA,Barra,2.02,2022,others +Caatinga,BAHIA,Carinhanha,3.5,2022,others +Caatinga,BAHIA,Coribe,3.87,2022,others +Caatinga,BAHIA,Buritirama,1.12,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.51,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,9.79,2022,others +Caatinga,BAHIA,Iaçu,9.73,2022,others +Caatinga,BAHIA,Pilão Arcado,1.08,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,3.32,2022,others +Caatinga,BAHIA,Itaeté,1.62,2022,agriculture +Caatinga,BAHIA,Buritirama,11.09,2022,others +Caatinga,BAHIA,Feira da Mata,2.45,2022,agriculture +Caatinga,BAHIA,Ituaçu,4.74,2022,others +Caatinga,BAHIA,Piatã,3.75,2022,others +Caatinga,BAHIA,Remanso,7.03,2022,others +Caatinga,BAHIA,Pilão Arcado,0.61,2022,others +Caatinga,BAHIA,Bonito,7.82,2022,others +Caatinga,BAHIA,Carinhanha,37.52,2022,others +Caatinga,BAHIA,Angical,1.87,2022,others +Caatinga,BAHIA,Brumado,15.51,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,2.97,2022,others +Caatinga,BAHIA,Buritirama,1.03,2022,others +Caatinga,BAHIA,Morro do Chapéu,13.11,2022,renewable_energy_project +Caatinga,BAHIA,Feira da Mata,49.1,2022,others +Caatinga,BAHIA,Planaltino,4.93,2022,agriculture +Caatinga,BAHIA,Aracatu,8.48,2022,agriculture +Caatinga,BAHIA,Jussiape,71.05,2022,agriculture +Caatinga,BAHIA,Carinhanha,20.12,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.44,2022,others +Caatinga,BAHIA,Pilão Arcado,2.89,2022,agriculture +Caatinga,BAHIA,São Félix do Coribe,26.15,2022,agriculture +Caatinga,BAHIA,Carinhanha,9.43,2022,others +Caatinga,BAHIA,Carinhanha,0.89,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.66,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,28.69,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.22,2022,agriculture +Caatinga,BAHIA,Macaúbas,2.61,2022,agriculture +Caatinga,BAHIA,Marcionílio Souza,4.86,2022,agriculture +Caatinga,BAHIA,Campo Formoso,1.15,2022,agriculture +Caatinga,BAHIA,Boninal,27.48,2022,others +Caatinga,BAHIA,Brumado,4.93,2022,agriculture +Caatinga,BAHIA,Xique-Xique,0.64,2022,agriculture +Caatinga,BAHIA,Jussiape,0.84,2022,agriculture +Caatinga,BAHIA,Caetité,2.03,2022,others +Caatinga,BAHIA,Brumado,4.09,2022,others +Caatinga,BAHIA,Carinhanha,8.21,2022,agriculture +Caatinga,BAHIA,Paratinga,4.09,2022,others +Caatinga,BAHIA,Marcionílio Souza,22.37,2022,others +Caatinga,BAHIA,Barra da Estiva,2.87,2022,others +Caatinga,BAHIA,Paramirim,23.23,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.41,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.19,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.69,2022,agriculture +Caatinga,BAHIA,Buritirama,5.69,2022,agriculture +Caatinga,BAHIA,Boninal,3.57,2022,agriculture +Caatinga,BAHIA,Carinhanha,5.89,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.51,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.8,2022,agriculture +Caatinga,BAHIA,Iaçu,2.83,2022,others +Caatinga,BAHIA,Buritirama,0.52,2022,others +Caatinga,BAHIA,Miguel Calmon,9.9,2022,others +Caatinga,BAHIA,Serrinha,7.56,2022,agriculture +Caatinga,BAHIA,Tucano,43.08,2022,others +Caatinga,BAHIA,Remanso,3.9,2022,agriculture +Caatinga,BAHIA,Brumado,4.05,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.54,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.28,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,7.06,2022,agriculture +Caatinga,BAHIA,Serra Dourada,10.38,2022,agriculture +Caatinga,BAHIA,Santana,3.43,2022,agriculture +Caatinga,BAHIA,Buritirama,0.55,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.39,2022,agriculture +Caatinga,BAHIA,Angical,11.04,2022,agriculture +Caatinga,BAHIA,Mundo Novo,13.33,2022,agriculture +Caatinga,BAHIA,Remanso,1.03,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.64,2022,agriculture +Caatinga,BAHIA,Paratinga,2.9,2022,others +Caatinga,BAHIA,Angical,22.32,2022,agriculture +Caatinga,BAHIA,Angical,15.08,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.42,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,3.07,2022,agriculture +Caatinga,BAHIA,Iramaia,7.18,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.59,2022,agriculture +Caatinga,BAHIA,Barra,0.56,2022,agriculture +Caatinga,BAHIA,Buritirama,0.4,2022,agriculture +Caatinga,BAHIA,Angical,18.35,2022,agriculture +Caatinga,BAHIA,Serra do Ramalho,7.06,2022,agriculture +Caatinga,BAHIA,Angical,97.33,2022,agriculture +Caatinga,BAHIA,Bonito,16.8,2022,agriculture +Caatinga,BAHIA,Bonito,1.34,2022,agriculture +Caatinga,BAHIA,Angical,44.75,2022,agriculture +Caatinga,BAHIA,Buritirama,0.84,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.84,2022,agriculture +Caatinga,BAHIA,Sento Sé,1.04,2022,agriculture +Caatinga,BAHIA,Carinhanha,7.09,2022,agriculture +Caatinga,BAHIA,Caculé,5.03,2022,agriculture +Caatinga,BAHIA,Jussiape,3.2,2022,agriculture +Caatinga,BAHIA,Casa Nova,8.91,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.78,2022,agriculture +Caatinga,BAHIA,Carinhanha,11.05,2022,agriculture +Caatinga,BAHIA,Buritirama,0.49,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.56,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,35.66,2022,agriculture +Caatinga,BAHIA,Barra da Estiva,3.76,2022,agriculture +Caatinga,BAHIA,Remanso,1.92,2022,agriculture +Caatinga,BAHIA,Sento Sé,2.44,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,1.87,2022,agriculture +Caatinga,BAHIA,Mirante,1.59,2022,agriculture +Caatinga,BAHIA,Barra,1.27,2022,agriculture +Caatinga,BAHIA,Brumado,3.03,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.66,2022,agriculture +Caatinga,BAHIA,Buritirama,1.33,2022,agriculture +Caatinga,BAHIA,Iaçu,4.85,2022,agriculture +Caatinga,BAHIA,Monte Santo,20.94,2022,others +Caatinga,BAHIA,Serra Dourada,6.91,2022,agriculture +Caatinga,BAHIA,Matina,3.39,2022,agriculture +Caatinga,BAHIA,Buritirama,1.12,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,0.61,2022,agriculture +Caatinga,BAHIA,Planalto,3.98,2022,agriculture +Caatinga,BAHIA,Buritirama,1.15,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.38,2022,agriculture +Caatinga,BAHIA,Angical,22.0,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.08,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,0.96,2022,others +Caatinga,BAHIA,Riacho de Santana,10.71,2022,agriculture +Caatinga,BAHIA,Buritirama,0.6,2022,others +Caatinga,BAHIA,Pilão Arcado,0.8,2022,agriculture +Caatinga,BAHIA,Jussiape,3.09,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.91,2022,others +Caatinga,BAHIA,Remanso,1.8,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.79,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,4.75,2022,others +Caatinga,BAHIA,Casa Nova,1.25,2022,others +Caatinga,BAHIA,Xique-Xique,2.28,2022,others +Caatinga,BAHIA,Serra Dourada,16.49,2022,agriculture +Caatinga,BAHIA,Jussiape,2.59,2022,others +Caatinga,BAHIA,Tucano,18.95,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,5.82,2022,others +Caatinga,BAHIA,Macaúbas,1.4,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.42,2022,others +Caatinga,BAHIA,Carinhanha,3.07,2022,others +Caatinga,BAHIA,Matina,1.45,2022,others +Caatinga,BAHIA,Tanhaçu,11.65,2022,agriculture +Caatinga,BAHIA,Campo Formoso,2.07,2022,others +Caatinga,BAHIA,Caetité,3.31,2022,agriculture +Caatinga,BAHIA,Cordeiros,9.44,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.19,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,2.46,2022,others +Caatinga,BAHIA,Sítio do Mato,4.38,2022,others +Caatinga,BAHIA,Paratinga,0.94,2022,agriculture +Caatinga,BAHIA,Condeúba,10.43,2022,others +Caatinga,BAHIA,Buritirama,1.11,2022,others +Caatinga,BAHIA,Ituaçu,3.18,2022,agriculture +Caatinga,BAHIA,Juazeiro,4.81,2022,others +Caatinga,BAHIA,Riacho de Santana,13.52,2022,others +Caatinga,BAHIA,Candiba,1.88,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.04,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,4.4,2022,others +Caatinga,BAHIA,Pilão Arcado,0.3,2022,agriculture +Caatinga,BAHIA,Bonito,44.8,2022,others +Caatinga,BAHIA,Pilão Arcado,0.68,2022,agriculture +Caatinga,BAHIA,Carinhanha,4.8,2022,agriculture +Caatinga,BAHIA,Ituaçu,2.92,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,0.43,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.09,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,1.99,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,7.88,2022,others +Caatinga,BAHIA,Curaçá,10.62,2022,others +Caatinga,BAHIA,Santa Maria da Vitória,2.0,2022,agriculture +Caatinga,BAHIA,Condeúba,1.22,2022,agriculture +Caatinga,BAHIA,Matina,1.41,2022,others +Caatinga,BAHIA,Bom Jesus da Serra,0.65,2022,others +Caatinga,BAHIA,Paratinga,0.78,2022,others +Caatinga,BAHIA,Matina,3.37,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,5.84,2022,others +Caatinga,BAHIA,Rio Real,22.76,2022,agriculture +Caatinga,BAHIA,Santana,1.63,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,8.0,2022,others +Caatinga,BAHIA,Buritirama,0.58,2022,others +Caatinga,BAHIA,Oliveira dos Brejinhos,9.81,2022,others +Caatinga,BAHIA,Pilão Arcado,0.98,2022,others +Caatinga,BAHIA,Nova Soure,32.96,2022,agriculture +Caatinga,BAHIA,Carinhanha,4.52,2022,agriculture +Caatinga,BAHIA,Brumado,7.43,2022,others +Caatinga,BAHIA,Boa Vista do Tupim,15.36,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,2.66,2022,agriculture +Caatinga,BAHIA,Anagé,9.65,2022,others +Caatinga,BAHIA,Tanhaçu,3.18,2022,agriculture +Caatinga,BAHIA,Buritirama,2.49,2022,others +Caatinga,BAHIA,Santana,1.98,2022,agriculture +Caatinga,BAHIA,Jussiape,6.38,2022,agriculture +Caatinga,BAHIA,Brumado,4.16,2022,others +Caatinga,BAHIA,Brumado,61.29,2022,others +Caatinga,BAHIA,Buritirama,0.85,2022,agriculture +Caatinga,BAHIA,Botuporã,5.33,2022,others +Caatinga,BAHIA,Barra da Estiva,13.71,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,4.9,2022,agriculture +Caatinga,BAHIA,Jaborandi,1.69,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,2.55,2022,agriculture +Caatinga,BAHIA,Buritirama,1.88,2022,agriculture +Caatinga,BAHIA,Juazeiro,1.61,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,6.58,2022,agriculture +Caatinga,BAHIA,Brumado,0.52,2022,agriculture +Caatinga,BAHIA,Rio de Contas,5.86,2022,agriculture +Caatinga,BAHIA,Brumado,3.32,2022,agriculture +Caatinga,BAHIA,Brumado,16.61,2022,agriculture +Caatinga,BAHIA,Iaçu,7.69,2022,agriculture +Caatinga,BAHIA,Guajeru,0.48,2022,agriculture +Caatinga,BAHIA,Mirante,17.47,2022,agriculture +Caatinga,BAHIA,Umburanas,1.3,2022,agriculture +Caatinga,BAHIA,Jacaraci,25.32,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,2.89,2022,agriculture +Caatinga,BAHIA,Cocos,7.19,2022,agriculture +Caatinga,BAHIA,Ibitiara,4.45,2022,agriculture +Caatinga,BAHIA,Abaíra,3.4,2022,agriculture +Caatinga,BAHIA,Nova Soure,4.97,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,5.13,2022,others +Caatinga,BAHIA,Malhada de Pedras,11.56,2022,agriculture +Caatinga,BAHIA,Ibitiara,2.46,2022,agriculture +Caatinga,BAHIA,Maracás,24.58,2022,agriculture +Caatinga,BAHIA,Feira da Mata,31.09,2022,agriculture +Caatinga,BAHIA,Barra,0.92,2022,agriculture +Caatinga,BAHIA,Malhada de Pedras,2.19,2022,agriculture +Caatinga,BAHIA,Macaúbas,5.62,2022,agriculture +Caatinga,BAHIA,Remanso,2.29,2022,agriculture +Caatinga,BAHIA,Mirante,3.73,2022,agriculture +Caatinga,BAHIA,Remanso,2.16,2022,agriculture +Caatinga,BAHIA,Marcionílio Souza,28.18,2022,agriculture +Caatinga,BAHIA,Brumado,1.7,2022,agriculture +Caatinga,BAHIA,Iramaia,6.26,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.91,2022,agriculture +Caatinga,BAHIA,Anagé,1.14,2022,agriculture +Caatinga,BAHIA,Buritirama,2.32,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,42.54,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.13,2022,agriculture +Caatinga,BAHIA,Buritirama,1.65,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.39,2022,agriculture +Caatinga,BAHIA,Matina,10.79,2022,agriculture +Caatinga,BAHIA,Matina,3.62,2022,agriculture +Caatinga,BAHIA,Anagé,1.29,2022,agriculture +Caatinga,BAHIA,Buritirama,1.5,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.94,2022,agriculture +Caatinga,BAHIA,Ituaçu,1.53,2022,agriculture +Caatinga,BAHIA,Planalto,2.91,2022,agriculture +Caatinga,BAHIA,Buritirama,5.45,2022,agriculture +Caatinga,BAHIA,Macaúbas,16.35,2022,agriculture +Caatinga,BAHIA,Sento Sé,39.06,2022,agriculture +Caatinga,BAHIA,Iaçu,2.62,2022,agriculture +Caatinga,BAHIA,Sento Sé,2.6,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.57,2022,agriculture +Caatinga,BAHIA,Remanso,3.05,2022,agriculture +Caatinga,BAHIA,Sento Sé,4.05,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.86,2022,agriculture +Caatinga,BAHIA,Marcionílio Souza,32.6,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,21.08,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,4.2,2022,others +Caatinga,BAHIA,Boninal,3.87,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.37,2022,agriculture +Caatinga,BAHIA,Caturama,1.95,2022,agriculture +Caatinga,BAHIA,Buritirama,0.95,2022,agriculture +Caatinga,BAHIA,Barra da Estiva,1.57,2022,others +Caatinga,BAHIA,Feira da Mata,17.67,2022,agriculture +Caatinga,BAHIA,Pindaí,11.72,2022,others +Caatinga,BAHIA,Carinhanha,13.03,2022,agriculture +Caatinga,BAHIA,Sento Sé,1.18,2022,others +Caatinga,BAHIA,Santa Maria da Vitória,6.04,2022,agriculture +Caatinga,BAHIA,Barra da Estiva,44.92,2022,others +Caatinga,BAHIA,Rio de Contas,0.87,2022,agriculture +Caatinga,BAHIA,Xique-Xique,3.19,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,10.95,2022,others +Caatinga,BAHIA,Xique-Xique,4.07,2022,agriculture +Caatinga,BAHIA,Juazeiro,1.41,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.2,2022,agriculture +Caatinga,BAHIA,Campo Formoso,7.87,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.47,2022,agriculture +Caatinga,BAHIA,Paratinga,5.99,2022,agriculture +Caatinga,BAHIA,Macaúbas,27.03,2022,others +Caatinga,BAHIA,Itaeté,3.61,2022,others +Caatinga,BAHIA,Licínio de Almeida,4.36,2022,others +Caatinga,BAHIA,Rio de Contas,6.13,2022,others +Caatinga,BAHIA,Campo Formoso,8.13,2022,others +Caatinga,BAHIA,Iaçu,10.19,2022,others +Caatinga,BAHIA,Gentio do Ouro,1.19,2022,agriculture +Caatinga,BAHIA,Buritirama,1.01,2022,agriculture +Caatinga,BAHIA,Anagé,1.1,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.37,2022,agriculture +Caatinga,BAHIA,São Félix do Coribe,10.94,2022,agriculture +Caatinga,BAHIA,Caculé,3.85,2022,others +Caatinga,BAHIA,Riacho de Santana,1.91,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,3.19,2022,others +Caatinga,BAHIA,Barra,2.48,2022,agriculture +Caatinga,BAHIA,Macaúbas,0.6,2022,agriculture +Caatinga,BAHIA,Paratinga,1.39,2022,agriculture +Caatinga,BAHIA,Campo Formoso,5.94,2022,agriculture +Caatinga,BAHIA,Rio de Contas,1.71,2022,agriculture +Caatinga,BAHIA,Ruy Barbosa,5.53,2022,agriculture +Caatinga,BAHIA,Angical,14.09,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.53,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,2.29,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.8,2022,agriculture +Caatinga,BAHIA,Matina,1.13,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.73,2022,agriculture +Caatinga,BAHIA,Barra,1.85,2022,agriculture +Caatinga,BAHIA,Anagé,3.77,2022,others +Caatinga,BAHIA,Riacho de Santana,4.54,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,15.48,2022,others +Caatinga,BAHIA,Angical,9.94,2022,agriculture +Caatinga,BAHIA,Buritirama,0.79,2022,others +Caatinga,BAHIA,Matina,3.41,2022,others +Caatinga,BAHIA,Macaúbas,3.34,2022,others +Caatinga,BAHIA,Brumado,4.07,2022,others +Caatinga,BAHIA,Brumado,3.9,2022,others +Caatinga,BAHIA,Juazeiro,26.66,2022,others +Caatinga,BAHIA,Macaúbas,0.85,2022,others +Caatinga,BAHIA,Mirangaba,5.49,2022,agriculture +Caatinga,BAHIA,Boninal,1.23,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,2.3,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,3.85,2022,agriculture +Caatinga,BAHIA,Santana,3.25,2022,agriculture +Caatinga,BAHIA,Barra,2.86,2022,agriculture +Caatinga,BAHIA,Várzea Nova,12.33,2022,agriculture +Caatinga,BAHIA,Buritirama,2.66,2022,agriculture +Caatinga,BAHIA,Ipupiara,13.43,2022,agriculture +Caatinga,BAHIA,Jaborandi,14.37,2022,agriculture +Caatinga,BAHIA,Paratinga,4.56,2022,agriculture +Caatinga,BAHIA,Matina,16.66,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,41.85,2022,agriculture +Caatinga,BAHIA,Brejolândia,4.44,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,1.71,2022,natural_cause +Caatinga,BAHIA,Carinhanha,4.34,2022,agriculture +Caatinga,BAHIA,Carinhanha,3.19,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,23.9,2022,agriculture +Caatinga,BAHIA,Ribeira do Pombal,21.58,2022,agriculture +Caatinga,BAHIA,Boninal,0.98,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,9.77,2022,natural_cause +Caatinga,BAHIA,Ibiquera,2.36,2022,agriculture +Caatinga,BAHIA,Itaeté,7.06,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,66.43,2022,agriculture +Caatinga,BAHIA,Pindobaçu,30.57,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,3.1,2022,others +Caatinga,BAHIA,Juazeiro,13.26,2022,renewable_energy_project +Caatinga,BAHIA,Barra,1.11,2022,agriculture +Caatinga,BAHIA,Buritirama,0.7,2022,agriculture +Caatinga,BAHIA,Angical,7.73,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,3.32,2022,agriculture +Caatinga,BAHIA,Buritirama,1.05,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.11,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.08,2022,others +Caatinga,BAHIA,Buritirama,0.75,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,26.94,2022,agriculture +Caatinga,BAHIA,Brumado,2.47,2022,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,3.36,2022,agriculture +Caatinga,BAHIA,Biritinga,164.42,2022,agriculture +Caatinga,BAHIA,Serra Dourada,28.73,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,3.03,2022,agriculture +Caatinga,BAHIA,Cocos,13.66,2022,agriculture +Caatinga,BAHIA,Conceição do Coité,36.01,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,5.4,2022,agriculture +Caatinga,BAHIA,Macaúbas,2.26,2022,agriculture +Caatinga,BAHIA,Barra,1.08,2022,others +Caatinga,BAHIA,Sátiro Dias,17.89,2022,agriculture +Caatinga,BAHIA,Maracás,95.61,2022,others +Caatinga,BAHIA,Pilão Arcado,2.45,2022,agriculture +Caatinga,BAHIA,Matina,7.98,2022,agriculture +Caatinga,BAHIA,Carinhanha,6.16,2022,agriculture +Caatinga,BAHIA,Macaúbas,9.49,2022,others +Caatinga,BAHIA,Sento Sé,1.21,2022,others +Caatinga,BAHIA,Santa Maria da Vitória,12.41,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.64,2022,agriculture +Caatinga,BAHIA,Condeúba,7.47,2022,agriculture +Caatinga,BAHIA,Remanso,0.99,2022,agriculture +Caatinga,BAHIA,Buritirama,2.18,2022,agriculture +Caatinga,BAHIA,Maracás,59.24,2022,others +Caatinga,BAHIA,Buritirama,6.47,2022,agriculture +Caatinga,BAHIA,Ibitiara,1.8,2022,agriculture +Caatinga,BAHIA,Serra Dourada,5.62,2022,agriculture +Caatinga,BAHIA,Buritirama,0.45,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,5.47,2022,agriculture +Caatinga,BAHIA,Buritirama,1.11,2022,agriculture +Caatinga,BAHIA,Carinhanha,2.94,2022,natural_cause +Caatinga,BAHIA,Serra do Ramalho,345.72,2022,agriculture +Caatinga,BAHIA,Ibitiara,1.69,2022,agriculture +Caatinga,BAHIA,Serra do Ramalho,5.45,2022,agriculture +Caatinga,BAHIA,Serra Dourada,6.15,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,17.97,2022,agriculture +Caatinga,BAHIA,Santana,20.07,2022,others +Caatinga,BAHIA,Anagé,5.54,2022,agriculture +Caatinga,BAHIA,Brumado,1.96,2022,agriculture +Caatinga,BAHIA,Cordeiros,4.69,2022,agriculture +Caatinga,BAHIA,Tucano,25.28,2022,others +Caatinga,BAHIA,Boninal,18.67,2022,others +Caatinga,BAHIA,Planaltino,2.12,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,2.65,2022,agriculture +Caatinga,BAHIA,Buritirama,0.86,2022,agriculture +Caatinga,BAHIA,Barra do Mendes,13.72,2022,agriculture +Caatinga,BAHIA,Ipupiara,0.32,2022,agriculture +Caatinga,BAHIA,Buritirama,2.26,2022,agriculture +Caatinga,BAHIA,Santana,17.15,2022,agriculture +Caatinga,BAHIA,Mundo Novo,10.43,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,3.76,2022,others +Caatinga,BAHIA,Ibitiara,1.03,2022,others +Caatinga,BAHIA,Buritirama,3.22,2022,agriculture +Caatinga,BAHIA,Anagé,1.06,2022,agriculture +Caatinga,BAHIA,Brejolândia,26.34,2022,others +Caatinga,BAHIA,Ipirá,67.21,2022,agriculture +Caatinga,BAHIA,Ibitiara,1.54,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,5.22,2022,agriculture +Caatinga,BAHIA,Ibitiara,1.61,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.99,2022,agriculture +Caatinga,BAHIA,Xique-Xique,5.43,2022,renewable_energy_project +Caatinga,BAHIA,Carinhanha,1.6,2022,agriculture +Caatinga,BAHIA,Umburanas,0.38,2022,others +Caatinga,BAHIA,Brumado,20.74,2022,agriculture +Caatinga,BAHIA,Malhada de Pedras,4.0,2022,agriculture +Caatinga,BAHIA,Macaúbas,0.28,2022,others +Caatinga,BAHIA,Remanso,1.76,2022,agriculture +Caatinga,BAHIA,Cocos,15.59,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,2.76,2022,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,5.63,2022,agriculture +Caatinga,BAHIA,Tucano,21.29,2022,agriculture +Caatinga,BAHIA,Cocos,21.64,2022,agriculture +Caatinga,BAHIA,Buritirama,1.0,2022,agriculture +Caatinga,BAHIA,Feira da Mata,9.1,2022,agriculture +Caatinga,BAHIA,Maracás,32.48,2022,others +Caatinga,BAHIA,Bonito,2.16,2022,agriculture +Caatinga,BAHIA,Serra do Ramalho,10.78,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,11.02,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.97,2022,agriculture +Caatinga,BAHIA,Ourolândia,1.06,2022,others +Caatinga,BAHIA,Itaguaçu da Bahia,2.57,2022,agriculture +Caatinga,BAHIA,Casa Nova,8.62,2022,agriculture +Caatinga,BAHIA,Miguel Calmon,13.32,2022,agriculture +Caatinga,BAHIA,Biritinga,10.55,2022,agriculture +Caatinga,BAHIA,Brumado,6.68,2022,agriculture +Caatinga,BAHIA,Xique-Xique,2.01,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.44,2022,agriculture +Caatinga,BAHIA,Botuporã,4.51,2022,agriculture +Caatinga,BAHIA,Carinhanha,4.33,2022,agriculture +Caatinga,BAHIA,Ibipitanga,41.18,2022,agriculture +Caatinga,BAHIA,Dom Basílio,0.87,2022,others +Caatinga,BAHIA,Jacaraci,15.75,2022,agriculture +Caatinga,BAHIA,Campo Formoso,4.25,2022,agriculture +Caatinga,BAHIA,Várzea da Roça,4.61,2022,agriculture +Caatinga,BAHIA,Urandi,4.15,2022,agriculture +Caatinga,BAHIA,Barra,0.98,2022,agriculture +Caatinga,BAHIA,Brejolândia,1.82,2022,agriculture +Caatinga,BAHIA,Carinhanha,11.84,2022,agriculture +Caatinga,BAHIA,Barra,4.65,2022,agriculture +Caatinga,BAHIA,Ipupiara,3.87,2022,agriculture +Caatinga,BAHIA,Paratinga,2.54,2022,agriculture +Caatinga,BAHIA,Feira da Mata,6.37,2022,agriculture +Caatinga,BAHIA,Uibaí,3.27,2022,agriculture +Caatinga,BAHIA,Ituaçu,12.28,2022,agriculture +Caatinga,BAHIA,Aracatu,35.63,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,12.43,2022,agriculture +Caatinga,BAHIA,Tanhaçu,5.03,2022,agriculture +Caatinga,BAHIA,São Félix do Coribe,28.71,2022,others +Caatinga,BAHIA,Jussiape,2.79,2022,others +Caatinga,BAHIA,Iaçu,9.17,2022,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,1.87,2022,agriculture +Caatinga,BAHIA,Brejolândia,13.63,2022,agriculture +Caatinga,BAHIA,Botuporã,5.37,2022,agriculture +Caatinga,BAHIA,Sento Sé,23.54,2022,agriculture +Caatinga,BAHIA,Curaçá,3.88,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,1.55,2022,agriculture +Caatinga,BAHIA,Ibitiara,2.11,2022,agriculture +Caatinga,BAHIA,Remanso,1.63,2022,agriculture +Caatinga,BAHIA,Ibitiara,1.51,2022,agriculture +Caatinga,BAHIA,Buritirama,2.26,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,36.95,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.12,2022,agriculture +Caatinga,BAHIA,Barra,281.35,2022,agriculture +Caatinga,BAHIA,Carinhanha,23.58,2022,agriculture +Caatinga,BAHIA,Itaberaba,4.77,2022,agriculture +Caatinga,BAHIA,Ipirá,14.03,2022,agriculture +Caatinga,BAHIA,Mansidão,3.69,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,7.65,2022,agriculture +Caatinga,BAHIA,Santana,3.99,2022,agriculture +Caatinga,BAHIA,Miguel Calmon,4.07,2022,agriculture +Caatinga,BAHIA,Paratinga,1.35,2022,agriculture +Caatinga,BAHIA,Paratinga,2.12,2022,agriculture +Caatinga,BAHIA,Santana,34.52,2022,agriculture +Caatinga,BAHIA,Buritirama,1.8,2022,agriculture +Caatinga,BAHIA,Ipirá,7.03,2022,agriculture +Caatinga,BAHIA,Carinhanha,2.0,2022,agriculture +Caatinga,BAHIA,Ituaçu,1.26,2022,others +Caatinga,BAHIA,Monte Santo,2.57,2022,agriculture +Caatinga,BAHIA,Ibiquera,45.21,2022,agriculture +Caatinga,BAHIA,Bonito,5.12,2022,agriculture +Caatinga,BAHIA,Boninal,8.77,2022,agriculture +Caatinga,BAHIA,Umburanas,11.21,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,0.59,2022,agriculture +Caatinga,BAHIA,Feira da Mata,10.51,2022,agriculture +Caatinga,BAHIA,Xique-Xique,3.07,2022,agriculture +Caatinga,BAHIA,Serra Dourada,135.16,2022,agriculture +Caatinga,BAHIA,Buritirama,2.35,2022,others +Caatinga,BAHIA,Sebastião Laranjeiras,146.41,2022,agriculture +Caatinga,BAHIA,Érico Cardoso,24.12,2022,agriculture +Caatinga,BAHIA,Bonito,2.06,2022,agriculture +Caatinga,BAHIA,Barra,116.26,2022,agriculture +Caatinga,BAHIA,Barra,335.27,2022,agriculture +Caatinga,BAHIA,Conceição do Coité,8.59,2022,agriculture +Caatinga,BAHIA,Umburanas,0.89,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,3.24,2022,agriculture +Caatinga,BAHIA,Buritirama,1.51,2022,agriculture +Caatinga,BAHIA,Ibitiara,4.49,2022,agriculture +Caatinga,BAHIA,Buritirama,2.88,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.79,2022,others +Caatinga,BAHIA,Morro do Chapéu,6.52,2022,agriculture +Caatinga,BAHIA,Rio do Antônio,1.08,2022,others +Caatinga,BAHIA,Malhada,11.64,2022,others +Caatinga,BAHIA,Brumado,4.88,2022,agriculture +Caatinga,BAHIA,Monte Santo,0.76,2022,others +Caatinga,BAHIA,Contendas do Sincorá,2.47,2022,agriculture +Caatinga,BAHIA,Mirangaba,2.11,2022,others +Caatinga,BAHIA,Jussara,7.6,2022,others +Caatinga,BAHIA,Santa Maria da Vitória,8.73,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.55,2022,others +Caatinga,BAHIA,Boa Nova,1.8,2022,others +Caatinga,BAHIA,Pilão Arcado,1.91,2022,others +Caatinga,BAHIA,Ibiquera,1.74,2022,others +Caatinga,BAHIA,Itapicuru,83.92,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,5.89,2022,others +Caatinga,BAHIA,Licínio de Almeida,9.92,2022,agriculture +Caatinga,BAHIA,Brumado,7.41,2022,others +Caatinga,BAHIA,Aracatu,2.24,2022,others +Caatinga,BAHIA,Maracás,43.61,2022,others +Caatinga,BAHIA,Dom Basílio,12.55,2022,agriculture +Caatinga,BAHIA,Boninal,1.44,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,3.88,2022,agriculture +Caatinga,BAHIA,Rio do Antônio,14.19,2022,others +Caatinga,BAHIA,Campo Formoso,2.07,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,13.61,2022,others +Caatinga,BAHIA,Campo Formoso,8.5,2022,others +Caatinga,BAHIA,Urandi,31.43,2022,others +Caatinga,BAHIA,Brumado,8.71,2022,others +Caatinga,BAHIA,Ituaçu,0.56,2022,others +Caatinga,BAHIA,Ituaçu,2.22,2022,others +Caatinga,BAHIA,Contendas do Sincorá,54.17,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,2.35,2022,agriculture +Caatinga,BAHIA,Mirangaba,15.55,2022,others +Caatinga,BAHIA,Coronel João Sá,0.53,2022,others +Caatinga,BAHIA,Itiúba,98.93,2022,others +Caatinga,BAHIA,Santana,1.51,2022,agriculture +Caatinga,BAHIA,Miguel Calmon,20.62,2022,agriculture +Caatinga,BAHIA,Boninal,6.5,2022,others +Caatinga,BAHIA,Caraíbas,23.25,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,5.4,2022,others +Caatinga,BAHIA,Malhada,48.2,2022,others +Caatinga,BAHIA,Iaçu,3.55,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,5.0,2022,agriculture +Caatinga,BAHIA,Monte Santo,1.56,2022,others +Caatinga,BAHIA,Sítio do Mato,20.88,2022,agriculture +Caatinga,BAHIA,Boninal,1.31,2022,others +Caatinga,BAHIA,Buritirama,0.75,2022,others +Caatinga,BAHIA,Boa Nova,1.27,2022,others +Caatinga,BAHIA,Caculé,3.17,2022,agriculture +Caatinga,BAHIA,Barra,1.18,2022,agriculture +Caatinga,BAHIA,Mirangaba,7.96,2022,others +Caatinga,BAHIA,Riacho de Santana,25.83,2022,others +Caatinga,BAHIA,Pindobaçu,20.03,2022,others +Caatinga,BAHIA,Serra do Ramalho,4.44,2022,agriculture +Caatinga,BAHIA,Barra,0.34,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.43,2022,others +Caatinga,BAHIA,Caculé,4.26,2022,others +Caatinga,BAHIA,Rio de Contas,1.22,2022,agriculture +Caatinga,BAHIA,Buritirama,3.88,2022,agriculture +Caatinga,BAHIA,Tremedal,3.65,2022,agriculture +Caatinga,BAHIA,Juazeiro,6.0,2022,agriculture +Caatinga,BAHIA,Ibiquera,13.03,2022,agriculture +Caatinga,BAHIA,Caraíbas,10.38,2022,others +Caatinga,BAHIA,Brumado,1.63,2022,others +Caatinga,BAHIA,Mirante,3.09,2022,urban_expansion +Caatinga,BAHIA,Carinhanha,11.01,2022,agriculture +Caatinga,BAHIA,Carinhanha,6.17,2022,agriculture +Caatinga,BAHIA,Ituaçu,4.29,2022,agriculture +Caatinga,BAHIA,Pindobaçu,1.4,2022,others +Caatinga,BAHIA,Macaúbas,3.04,2022,others +Caatinga,BAHIA,Buritirama,0.43,2022,agriculture +Caatinga,BAHIA,Barra da Estiva,10.91,2022,others +Caatinga,BAHIA,Ibitiara,3.28,2022,agriculture +Caatinga,BAHIA,Guajeru,1.48,2022,agriculture +Caatinga,BAHIA,Tanhaçu,36.16,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,22.75,2022,agriculture +Caatinga,BAHIA,Caculé,0.86,2022,agriculture +Caatinga,BAHIA,Inhambupe,14.29,2022,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,9.96,2022,others +Caatinga,BAHIA,Maracás,127.45,2022,agriculture +Caatinga,BAHIA,Buritirama,4.28,2022,agriculture +Caatinga,BAHIA,Buritirama,1.36,2022,agriculture +Caatinga,BAHIA,Buritirama,0.79,2022,agriculture +Caatinga,BAHIA,São Félix do Coribe,18.94,2022,agriculture +Caatinga,BAHIA,Remanso,1.99,2022,agriculture +Caatinga,BAHIA,Novo Horizonte,4.31,2022,others +Caatinga,BAHIA,Brumado,6.33,2022,agriculture +Caatinga,BAHIA,Caculé,1.83,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,7.26,2022,agriculture +Caatinga,BAHIA,Buritirama,1.7,2022,others +Caatinga,BAHIA,Jequié,18.06,2022,agriculture +Caatinga,BAHIA,Iaçu,9.23,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,23.59,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,16.32,2022,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,3.63,2022,agriculture +Caatinga,BAHIA,Feira da Mata,35.68,2022,agriculture +Caatinga,BAHIA,Barra,0.74,2022,agriculture +Caatinga,BAHIA,Barra,0.87,2022,others +Caatinga,BAHIA,Barra,2.58,2022,agriculture +Caatinga,BAHIA,Barra,1.75,2022,agriculture +Caatinga,BAHIA,Planaltino,18.21,2022,others +Caatinga,BAHIA,Buritirama,0.5,2022,agriculture +Caatinga,BAHIA,Paratinga,2.01,2022,others +Caatinga,BAHIA,Mirangaba,1.94,2022,agriculture +Caatinga,BAHIA,Tremedal,5.83,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,14.11,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,2.11,2022,agriculture +Caatinga,BAHIA,Cocos,7.07,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,15.92,2022,agriculture +Caatinga,BAHIA,Candiba,6.23,2022,agriculture +Caatinga,BAHIA,Mirante,16.91,2022,agriculture +Caatinga,BAHIA,Anagé,3.67,2022,others +Caatinga,BAHIA,Miguel Calmon,5.41,2022,agriculture +Caatinga,BAHIA,Brumado,4.0,2022,others +Caatinga,BAHIA,Riacho de Santana,3.53,2022,others +Caatinga,BAHIA,Campo Formoso,0.68,2022,agriculture +Caatinga,BAHIA,Buritirama,2.6,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.96,2022,agriculture +Caatinga,BAHIA,Buritirama,6.45,2022,agriculture +Caatinga,BAHIA,Tucano,14.84,2022,agriculture +Caatinga,BAHIA,Itaberaba,39.5,2022,others +Caatinga,BAHIA,Itaguaçu da Bahia,0.33,2022,renewable_energy_project +Caatinga,BAHIA,Santa Rita de Cássia,19.44,2022,others +Caatinga,BAHIA,Muquém do São Francisco,34.75,2022,agriculture +Caatinga,BAHIA,Caculé,3.54,2022,others +Caatinga,BAHIA,Mucugê,1.09,2022,others +Caatinga,BAHIA,Paratinga,6.21,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,19.85,2022,others +Caatinga,BAHIA,Inhambupe,7.2,2022,agriculture +Caatinga,BAHIA,Cocos,9.71,2022,others +Caatinga,BAHIA,Carinhanha,42.03,2022,agriculture +Caatinga,BAHIA,Casa Nova,0.78,2022,agriculture +Caatinga,BAHIA,Casa Nova,2.42,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,4.35,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,35.23,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,157.39,2022,agriculture +Caatinga,BAHIA,Buritirama,1.79,2022,others +Caatinga,BAHIA,Ibiquera,7.52,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,2.07,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,16.08,2022,agriculture +Caatinga,BAHIA,Campo Formoso,10.95,2022,others +Caatinga,BAHIA,Xique-Xique,0.6,2022,agriculture +Caatinga,BAHIA,Barra,14.76,2022,agriculture +Caatinga,BAHIA,Brumado,2.85,2022,others +Caatinga,BAHIA,Gentio do Ouro,25.79,2022,renewable_energy_project +Caatinga,BAHIA,Caldeirão Grande,17.78,2022,others +Caatinga,BAHIA,Santana,2.53,2022,agriculture +Caatinga,BAHIA,Itaberaba,20.98,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,20.27,2022,agriculture +Caatinga,BAHIA,Barra,2.1,2022,others +Caatinga,BAHIA,Wanderley,301.66,2022,agriculture +Caatinga,BAHIA,Serrinha,14.72,2022,agriculture +Caatinga,BAHIA,Aracatu,9.61,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,32.06,2022,agriculture +Caatinga,BAHIA,Serra do Ramalho,15.78,2022,others +Caatinga,BAHIA,Anagé,4.59,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,12.68,2022,agriculture +Caatinga,BAHIA,Carinhanha,4.91,2022,agriculture +Caatinga,BAHIA,Nova Soure,25.59,2022,agriculture +Caatinga,BAHIA,Sento Sé,13.55,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,8.48,2022,agriculture +Caatinga,BAHIA,Rio de Contas,2.11,2022,agriculture +Caatinga,BAHIA,Iaçu,33.89,2022,agriculture +Caatinga,BAHIA,São Félix do Coribe,110.64,2022,agriculture +Caatinga,BAHIA,Ibipitanga,25.62,2022,agriculture +Caatinga,BAHIA,Itapicuru,107.34,2022,agriculture +Caatinga,BAHIA,Urandi,6.75,2022,agriculture +Caatinga,BAHIA,Umburanas,10.87,2022,agriculture +Caatinga,BAHIA,Remanso,1.07,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.77,2022,agriculture +Caatinga,BAHIA,Paratinga,6.19,2022,agriculture +Caatinga,BAHIA,Ibitiara,0.08,2022,agriculture +Caatinga,BAHIA,Paratinga,9.94,2022,agriculture +Caatinga,BAHIA,Sento Sé,5.64,2022,agriculture +Caatinga,BAHIA,Buritirama,1.05,2022,agriculture +Caatinga,BAHIA,Buritirama,1.61,2022,agriculture +Caatinga,BAHIA,Barra,4.79,2022,agriculture +Caatinga,BAHIA,Matina,15.13,2022,agriculture +Caatinga,BAHIA,Umburanas,7.55,2022,agriculture +Caatinga,BAHIA,Aracatu,29.77,2022,agriculture +Caatinga,BAHIA,Mirangaba,4.89,2022,agriculture +Caatinga,BAHIA,Barra,4.82,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,3.26,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,2.05,2022,agriculture +Caatinga,BAHIA,Buritirama,2.15,2022,agriculture +Caatinga,BAHIA,Mirante,1.37,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,8.47,2022,agriculture +Caatinga,BAHIA,Ourolândia,1.78,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,2.4,2022,agriculture +Caatinga,BAHIA,Boninal,2.18,2022,agriculture +Caatinga,BAHIA,Xique-Xique,2.23,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.32,2022,agriculture +Caatinga,BAHIA,Juazeiro,0.82,2022,agriculture +Caatinga,BAHIA,Matina,36.93,2022,agriculture +Caatinga,BAHIA,Ituaçu,7.97,2022,agriculture +Caatinga,BAHIA,Anagé,0.9,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.68,2022,agriculture +Caatinga,BAHIA,Barra,1.48,2022,agriculture +Caatinga,BAHIA,Planaltino,1.41,2022,agriculture +Caatinga,BAHIA,Matina,3.82,2022,agriculture +Caatinga,BAHIA,Buritirama,1.78,2022,agriculture +Caatinga,BAHIA,Angical,6.24,2022,agriculture +Caatinga,BAHIA,Juazeiro,4.4,2022,agriculture +Caatinga,BAHIA,Jaborandi,6.15,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.37,2022,agriculture +Caatinga,BAHIA,Brejolândia,3.03,2022,agriculture +Caatinga,BAHIA,Brejolândia,2.8,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.55,2022,others +Caatinga,BAHIA,Barra,2.79,2022,others +Caatinga,BAHIA,Carinhanha,1.27,2022,others +Caatinga,BAHIA,Brejolândia,28.61,2022,others +Caatinga,BAHIA,Carinhanha,10.79,2022,others +Caatinga,BAHIA,Campo Formoso,1.85,2022,agriculture +Caatinga,BAHIA,Wanderley,66.84,2022,agriculture +Caatinga,BAHIA,Barra,2.22,2022,agriculture +Caatinga,BAHIA,Sítio do Quinto,15.77,2022,others +Caatinga,BAHIA,Boninal,0.75,2022,others +Caatinga,BAHIA,Ruy Barbosa,4.74,2022,others +Caatinga,BAHIA,Barra,1.76,2022,agriculture +Caatinga,BAHIA,Anagé,1.98,2022,others +Caatinga,BAHIA,Brejolândia,2.96,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,0.9,2022,others +Caatinga,BAHIA,Ourolândia,4.35,2022,others +Caatinga,BAHIA,Morpará,7.19,2022,others +Caatinga,BAHIA,Xique-Xique,2.09,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,2.72,2022,agriculture +Caatinga,BAHIA,Barra,3.31,2022,agriculture +Caatinga,BAHIA,Carinhanha,5.13,2022,agriculture +Caatinga,BAHIA,Mortugaba,17.4,2022,agriculture +Caatinga,BAHIA,Santana,32.09,2022,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,6.77,2022,agriculture +Caatinga,BAHIA,Barra,6.72,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,4.05,2022,agriculture +Caatinga,BAHIA,Ipupiara,2.3,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.75,2022,agriculture +Caatinga,BAHIA,Buritirama,0.62,2022,agriculture +Caatinga,BAHIA,Jussiape,1.58,2022,agriculture +Caatinga,BAHIA,Buritirama,3.88,2022,agriculture +Caatinga,BAHIA,Macaúbas,1.97,2022,agriculture +Caatinga,BAHIA,Xique-Xique,7.02,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,2.22,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,16.81,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.46,2022,agriculture +Caatinga,BAHIA,Buritirama,0.71,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,4.85,2022,agriculture +Caatinga,BAHIA,Remanso,2.91,2022,agriculture +Caatinga,BAHIA,Itapicuru,38.05,2022,agriculture +Caatinga,BAHIA,Iuiu,3.53,2022,others +Caatinga,BAHIA,Buritirama,1.31,2022,others +Caatinga,BAHIA,Barra da Estiva,97.7,2022,agriculture +Caatinga,BAHIA,Carinhanha,2.7,2022,agriculture 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+Caatinga,BAHIA,Angical,18.75,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,1.87,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,18.2,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,0.96,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,12.74,2022,others +Caatinga,BAHIA,Brumado,16.29,2022,others +Caatinga,BAHIA,Angical,7.22,2022,others +Caatinga,BAHIA,Ituaçu,47.15,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.75,2022,agriculture +Caatinga,BAHIA,Ibitiara,0.23,2022,agriculture +Caatinga,BAHIA,Rio de Contas,17.49,2022,agriculture +Caatinga,BAHIA,Ituaçu,2.25,2022,others +Caatinga,BAHIA,Iramaia,19.49,2022,others +Caatinga,BAHIA,Buritirama,6.09,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,2.52,2022,agriculture +Caatinga,BAHIA,Carinhanha,6.5,2022,agriculture +Caatinga,BAHIA,Carinhanha,14.2,2022,agriculture +Caatinga,BAHIA,Sítio do Mato,6.11,2022,agriculture +Caatinga,BAHIA,Dom Basílio,1.53,2022,others +Caatinga,BAHIA,Ibitiara,0.58,2022,others +Caatinga,BAHIA,Buritirama,1.57,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.79,2022,agriculture +Caatinga,BAHIA,Brumado,1.0,2022,others +Caatinga,BAHIA,Brotas de Macaúbas,0.35,2022,agriculture +Caatinga,BAHIA,Souto Soares,3.99,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.53,2022,agriculture +Caatinga,BAHIA,Buritirama,1.26,2022,others +Caatinga,BAHIA,Santana,17.71,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,5.0,2022,others +Caatinga,BAHIA,Mortugaba,1.01,2022,agriculture +Caatinga,BAHIA,Carinhanha,0.94,2022,others +Caatinga,BAHIA,São Félix do Coribe,2.24,2022,others +Caatinga,BAHIA,Angical,24.24,2022,agriculture +Caatinga,BAHIA,Carinhanha,8.17,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,2.45,2022,others +Caatinga,BAHIA,Brotas de Macaúbas,1.15,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.4,2022,agriculture +Caatinga,BAHIA,Piatã,419.3,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,6.57,2022,agriculture 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Brejinhos,11.07,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,0.62,2022,others +Caatinga,BAHIA,Condeúba,3.15,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,4.27,2022,agriculture +Caatinga,BAHIA,Buritirama,2.42,2022,others +Caatinga,BAHIA,Morpará,1.12,2022,others +Caatinga,BAHIA,Barra,37.85,2022,agriculture +Caatinga,BAHIA,Uibaí,2.34,2022,agriculture +Caatinga,BAHIA,Ipupiara,0.41,2022,others +Caatinga,BAHIA,Ipupiara,0.45,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,7.19,2022,agriculture +Caatinga,BAHIA,Condeúba,2.32,2022,others +Caatinga,BAHIA,Rafael Jambeiro,68.59,2022,others +Caatinga,BAHIA,Morpará,1.71,2022,agriculture +Caatinga,BAHIA,Brumado,1.73,2022,others +Caatinga,BAHIA,Juazeiro,1.19,2022,others +Caatinga,BAHIA,Buritirama,1.24,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,1.35,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.65,2022,others +Caatinga,BAHIA,Milagres,136.37,2022,agriculture +Caatinga,BAHIA,Maracás,10.44,2022,others +Caatinga,BAHIA,Miguel Calmon,1.05,2022,agriculture +Caatinga,BAHIA,Carinhanha,1.69,2022,agriculture +Caatinga,BAHIA,Buritirama,3.43,2022,others +Caatinga,BAHIA,Pilão Arcado,3.29,2022,others +Caatinga,BAHIA,Pilão Arcado,4.06,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.02,2022,others +Caatinga,BAHIA,Barra,2.93,2022,others +Caatinga,BAHIA,Buritirama,1.11,2022,agriculture +Caatinga,BAHIA,Buritirama,3.27,2022,agriculture +Caatinga,BAHIA,Tapiramutá,11.56,2022,others +Caatinga,BAHIA,Ipupiara,3.43,2022,agriculture +Caatinga,BAHIA,Barra,2.26,2022,others +Caatinga,BAHIA,Manoel Vitorino,13.09,2022,agriculture +Caatinga,BAHIA,Planaltino,4.82,2022,agriculture +Caatinga,BAHIA,Barra,0.37,2022,others +Caatinga,BAHIA,Buritirama,3.65,2022,agriculture +Caatinga,BAHIA,Brumado,6.92,2022,agriculture +Caatinga,BAHIA,Juazeiro,8.1,2022,agriculture +Caatinga,BAHIA,Ibitiara,15.68,2022,others +Caatinga,BAHIA,Carinhanha,2.08,2022,agriculture +Caatinga,BAHIA,Buritirama,5.02,2022,agriculture +Caatinga,BAHIA,Xique-Xique,1.89,2022,agriculture +Caatinga,BAHIA,Gentio do Ouro,25.54,2022,renewable_energy_project +Caatinga,BAHIA,Carinhanha,5.43,2022,others +Caatinga,BAHIA,Valente,43.28,2022,agriculture +Caatinga,BAHIA,Xique-Xique,46.25,2022,renewable_energy_project +Caatinga,BAHIA,Oliveira dos Brejinhos,4.48,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,2.3,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,4.69,2022,agriculture +Caatinga,BAHIA,Gentio do Ouro,21.11,2022,renewable_energy_project +Caatinga,BAHIA,Carinhanha,5.2,2022,agriculture +Caatinga,BAHIA,Xique-Xique,24.68,2022,renewable_energy_project +Caatinga,BAHIA,Ibitiara,1.14,2022,others +Caatinga,BAHIA,Xique-Xique,5.18,2022,renewable_energy_project +Caatinga,BAHIA,Campo Alegre de Lourdes,1.4,2022,agriculture +Caatinga,BAHIA,Condeúba,6.34,2022,agriculture +Caatinga,BAHIA,Brejolândia,10.74,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,4.48,2022,others +Caatinga,BAHIA,Juazeiro,11.02,2022,agriculture 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+Caatinga,BAHIA,Brotas de Macaúbas,1.15,2022,agriculture +Caatinga,BAHIA,Jaborandi,6.98,2022,agriculture +Caatinga,BAHIA,Boninal,3.54,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,1.84,2022,agriculture +Caatinga,BAHIA,Serra do Ramalho,1.96,2022,agriculture +Caatinga,BAHIA,Buritirama,10.16,2022,others +Caatinga,BAHIA,Remanso,0.73,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,3.27,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,2.08,2022,agriculture +Caatinga,BAHIA,Tanque Novo,3.23,2022,agriculture +Caatinga,BAHIA,Remanso,3.51,2022,agriculture +Caatinga,BAHIA,Carinhanha,1.0,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,1.2,2022,agriculture +Caatinga,BAHIA,Umburanas,1.21,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,1.7,2022,agriculture +Caatinga,BAHIA,Juazeiro,2.98,2022,agriculture +Caatinga,BAHIA,Barra,2.2,2022,agriculture +Caatinga,BAHIA,Carinhanha,5.25,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,11.31,2022,agriculture +Caatinga,BAHIA,Ipupiara,1.22,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.64,2022,others +Caatinga,BAHIA,Brotas de Macaúbas,6.43,2022,others +Caatinga,BAHIA,Buritirama,7.32,2022,others +Caatinga,BAHIA,Ibitiara,0.65,2022,others +Caatinga,BAHIA,Itaeté,75.66,2022,others +Caatinga,BAHIA,Brumado,4.92,2022,others +Caatinga,BAHIA,Planalto,1.13,2022,others +Caatinga,BAHIA,Santana,4.56,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.67,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,11.34,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,1.1,2022,agriculture +Caatinga,BAHIA,Mucugê,263.62,2022,agriculture +Caatinga,BAHIA,Carinhanha,5.68,2022,agriculture +Caatinga,BAHIA,Cordeiros,1.29,2022,agriculture +Caatinga,BAHIA,Mirangaba,0.45,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,1.73,2022,agriculture +Caatinga,BAHIA,Carinhanha,4.47,2022,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,27.95,2022,agriculture +Caatinga,BAHIA,Morpará,1.15,2022,agriculture +Caatinga,BAHIA,Matina,1.48,2022,agriculture +Caatinga,BAHIA,Jacobina,1.16,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,0.52,2022,agriculture +Caatinga,BAHIA,Santana,12.29,2022,agriculture +Caatinga,BAHIA,Piatã,3.32,2022,agriculture +Caatinga,BAHIA,Ibitiara,1.65,2022,agriculture +Caatinga,BAHIA,Caculé,22.32,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.61,2022,others +Caatinga,BAHIA,Ibitiara,3.6,2022,others +Caatinga,BAHIA,Buritirama,2.8,2022,agriculture +Caatinga,BAHIA,Buritirama,13.47,2022,others +Caatinga,BAHIA,Brotas de Macaúbas,3.84,2022,others +Caatinga,BAHIA,Barra,14.33,2022,others +Caatinga,BAHIA,Gentio do Ouro,2.77,2022,others +Caatinga,BAHIA,Macaúbas,6.82,2022,others +Caatinga,BAHIA,Muquém do São Francisco,5.01,2022,others +Caatinga,BAHIA,Paratinga,3.79,2022,others +Caatinga,BAHIA,Santa Maria da Vitória,55.16,2022,others +Caatinga,BAHIA,Carinhanha,1.92,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,2.6,2022,others +Caatinga,BAHIA,Barra,1.43,2022,others +Caatinga,BAHIA,Barra,2.39,2022,others +Caatinga,BAHIA,Ipupiara,0.21,2022,agriculture +Caatinga,BAHIA,Barra,0.93,2022,agriculture +Caatinga,BAHIA,Barra,0.94,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,1.09,2022,agriculture +Caatinga,BAHIA,Jaborandi,6.48,2022,agriculture +Caatinga,BAHIA,Ipupiara,0.95,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,31.93,2022,ilegal_mining +Caatinga,BAHIA,Xique-Xique,3.62,2022,agriculture +Caatinga,BAHIA,Macaúbas,2.25,2022,agriculture +Caatinga,BAHIA,Serra do Ramalho,4.66,2022,agriculture +Caatinga,BAHIA,Barra,13.78,2022,agriculture +Caatinga,BAHIA,Ibitiara,0.63,2022,agriculture +Caatinga,BAHIA,Ipupiara,0.93,2022,agriculture +Caatinga,BAHIA,Ipupiara,0.91,2022,agriculture +Caatinga,BAHIA,Ibitiara,0.43,2022,agriculture +Caatinga,BAHIA,Ipupiara,0.76,2022,agriculture +Caatinga,BAHIA,Canápolis,1.3,2022,agriculture +Caatinga,BAHIA,Sento Sé,0.97,2022,agriculture +Caatinga,BAHIA,Condeúba,9.25,2022,agriculture +Caatinga,BAHIA,Itaeté,30.53,2022,agriculture +Caatinga,BAHIA,Paratinga,1.84,2022,others +Caatinga,BAHIA,Ibitiara,0.61,2022,agriculture +Caatinga,BAHIA,Buritirama,3.85,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,3.23,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,6.41,2022,agriculture +Caatinga,BAHIA,Brejolândia,82.65,2022,agriculture +Caatinga,BAHIA,Planalto,5.29,2022,agriculture +Caatinga,BAHIA,Morpará,0.88,2022,agriculture +Caatinga,BAHIA,Abaíra,10.54,2022,agriculture +Caatinga,BAHIA,Paratinga,1.4,2022,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,157.27,2022,agriculture +Caatinga,BAHIA,Buritirama,4.9,2022,agriculture +Caatinga,BAHIA,Iaçu,2.08,2022,agriculture +Caatinga,BAHIA,Buritirama,0.61,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,14.34,2022,agriculture +Caatinga,BAHIA,Ipupiara,0.51,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,6.26,2022,agriculture +Caatinga,BAHIA,Ipupiara,0.51,2022,agriculture +Caatinga,BAHIA,Ipupiara,0.51,2022,agriculture 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+Caatinga,BAHIA,Buritirama,4.06,2022,agriculture +Caatinga,BAHIA,Ourolândia,8.1,2022,others +Caatinga,BAHIA,Pindaí,4.2,2022,others +Caatinga,BAHIA,Buritirama,2.32,2022,agriculture +Caatinga,BAHIA,Buritirama,3.64,2022,agriculture +Caatinga,BAHIA,Buritirama,0.94,2022,agriculture +Caatinga,BAHIA,Carinhanha,7.36,2022,agriculture +Caatinga,BAHIA,Buritirama,3.54,2022,others +Caatinga,BAHIA,Ipupiara,0.78,2022,agriculture +Caatinga,BAHIA,Piatã,10.58,2022,others +Caatinga,BAHIA,Itaeté,20.27,2022,agriculture +Caatinga,BAHIA,Miguel Calmon,2.45,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,0.41,2022,agriculture +Caatinga,BAHIA,Barra,286.27,2022,others +Caatinga,BAHIA,Valente,10.09,2022,agriculture +Caatinga,BAHIA,Abaíra,1.74,2022,agriculture +Caatinga,BAHIA,Miguel Calmon,5.85,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,0.6,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,0.52,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.15,2022,others +Caatinga,BAHIA,Ibitiara,0.98,2022,agriculture +Caatinga,BAHIA,Rio de Contas,2.72,2022,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,3.48,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,2.26,2022,others +Caatinga,BAHIA,Ipupiara,1.03,2022,others +Caatinga,BAHIA,Barra,1096.84,2022,agriculture +Caatinga,BAHIA,Piatã,6.73,2022,agriculture +Caatinga,BAHIA,Barra,3.12,2022,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,12.79,2022,agriculture +Caatinga,BAHIA,Carinhanha,20.72,2022,others +Caatinga,BAHIA,Riacho de Santana,6.1,2022,others +Caatinga,BAHIA,Muquém do São Francisco,128.2,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.52,2022,others +Caatinga,BAHIA,Buritirama,0.82,2022,others +Caatinga,BAHIA,Manoel Vitorino,11.19,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,21.2,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,110.87,2019,agriculture +Caatinga,BAHIA,Buritirama,7.54,2019,agriculture +Cerrado,BAHIA,São Desidério,37.22,2019,agriculture +Caatinga,BAHIA,Mansidão,34.41,2019,agriculture +Caatinga,BAHIA,Sítio do Mato,5.77,2019,agriculture +Caatinga,BAHIA,Carinhanha,21.31,2019,agriculture +Mata Atlântica,BAHIA,Aiquara,16.88,2019,agriculture +Mata Atlântica,BAHIA,Itagi,4.2,2019,urban_expansion +Mata Atlântica,BAHIA,Itororó,5.33,2019,agriculture +Mata Atlântica,BAHIA,Camamu,2.04,2019,agriculture +Mata Atlântica,BAHIA,Camaçari,47.77,2019,agriculture +Cerrado,BAHIA,Barreiras,47.78,2019,agriculture +Mata Atlântica,BAHIA,Itapé,1.55,2019,agriculture +Caatinga,BAHIA,Manoel Vitorino,22.78,2019,agriculture +Caatinga,BAHIA,Bonito,11.35,2019,agriculture +Caatinga,BAHIA,Mulungu do Morro,0.43,2019,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,6.47,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,490.07,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,121.11,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,12.95,2019,agriculture +Caatinga,BAHIA,Carinhanha,8.24,2019,agriculture +Caatinga,BAHIA,Angical,60.49,2019,agriculture +Cerrado,BAHIA,Baianópolis,7.84,2019,agriculture +Cerrado,BAHIA,São Desidério,6.72,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,2.01,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,14.92,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,122.45,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.87,2019,agriculture +Cerrado,BAHIA,São Desidério,9.72,2019,agriculture +Cerrado,BAHIA,Baianópolis,2.63,2019,agriculture +Cerrado,BAHIA,Coribe,27.12,2019,agriculture +Caatinga,BAHIA,Cotegipe,77.99,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,69.86,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,248.56,2019,agriculture +Mata Atlântica,BAHIA,Camamu,26.48,2019,agriculture +Mata Atlântica,BAHIA,Itamaraju,4.2,2019,agriculture +Mata Atlântica,BAHIA,Camacan,17.72,2019,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,15.92,2019,agriculture +Mata Atlântica,BAHIA,Camacan,5.07,2019,agriculture +Mata Atlântica,BAHIA,Santa Luzia,3.06,2019,agriculture +Caatinga,BAHIA,Santana,3.82,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,427.22,2020,agriculture +Caatinga,BAHIA,Correntina,10.26,2020,agriculture +Cerrado,BAHIA,Jaborandi,9.14,2020,agriculture +Caatinga,BAHIA,Cotegipe,8.63,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,482.95,2020,agriculture +Cerrado,BAHIA,São Desidério,21.29,2020,agriculture +Cerrado,BAHIA,Catolândia,5.35,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.69,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,7.22,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,3.26,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,1.38,2020,agriculture +Mata Atlântica,BAHIA,Buerarema,4.35,2020,urban_expansion +Mata Atlântica,BAHIA,Camamu,2.94,2020,agriculture +Mata Atlântica,BAHIA,Arataca,2.68,2020,agriculture +Mata Atlântica,BAHIA,Gandu,1.01,2020,agriculture +Mata Atlântica,BAHIA,Almadina,3.18,2020,agriculture +Mata Atlântica,BAHIA,Jaguaquara,1.81,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,3.21,2020,agriculture +Mata Atlântica,BAHIA,Itaquara,9.72,2020,agriculture +Mata Atlântica,BAHIA,Guaratinga,8.36,2020,agriculture +Mata Atlântica,BAHIA,Nova Itarana,44.44,2020,agriculture +Caatinga,BAHIA,Tapiramutá,4.05,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,14.29,2020,agriculture +Caatinga,BAHIA,Umburanas,1.7,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,7.05,2020,agriculture +Caatinga,BAHIA,Jeremoabo,63.44,2020,agriculture +Caatinga,BAHIA,Jeremoabo,23.71,2020,agriculture +Caatinga,BAHIA,Caetanos,13.74,2020,agriculture +Mata Atlântica,BAHIA,Caatiba,96.09,2020,agriculture +Mata Atlântica,BAHIA,Santa Terezinha,13.79,2020,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,17.73,2020,agriculture +Caatinga,BAHIA,Rio de Contas,3.38,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,10.34,2020,agriculture +Caatinga,BAHIA,Sítio do Quinto,3.44,2020,agriculture +Caatinga,BAHIA,Ribeira do Pombal,11.59,2020,agriculture +Cerrado,BAHIA,São Desidério,18.33,2020,agriculture +Caatinga,BAHIA,Casa Nova,12.25,2020,agriculture +Cerrado,BAHIA,Jaborandi,8.69,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,3.86,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,5.34,2020,agriculture +Mata Atlântica,BAHIA,Itagibá,3.11,2020,agriculture +Mata Atlântica,BAHIA,Nova Viçosa,19.54,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,3.85,2020,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,2.56,2020,agriculture +Cerrado,BAHIA,Baianópolis,18.54,2020,agriculture +Cerrado,BAHIA,Brejolândia,25.33,2020,agriculture +Caatinga,BAHIA,Santana,66.81,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,281.3,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,6.38,2020,agriculture +Caatinga,BAHIA,Angical,28.68,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,39.63,2020,agriculture +Caatinga,BAHIA,Candiba,3.4,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,3.67,2020,agriculture +Caatinga,BAHIA,Brejolândia,4.92,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,15.67,2020,agriculture +Cerrado,BAHIA,Correntina,18.75,2020,agriculture +Cerrado,BAHIA,Correntina,5.27,2020,agriculture +Cerrado,BAHIA,Correntina,2.62,2020,agriculture +Caatinga,BAHIA,Brumado,5.49,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,12.43,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,1.12,2020,agriculture +Cerrado,BAHIA,Barreiras,68.29,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,66.99,2020,agriculture +Caatinga,BAHIA,Santana,5.97,2020,agriculture +Caatinga,BAHIA,Feira da Mata,33.85,2020,agriculture +Caatinga,BAHIA,Cotegipe,9.93,2020,agriculture +Caatinga,BAHIA,Belo Campo,3.99,2020,agriculture +Caatinga,BAHIA,Brumado,4.9,2020,agriculture +Mata Atlântica,BAHIA,Caatiba,8.83,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.8,2020,agriculture +Caatinga,BAHIA,Planaltino,17.65,2020,agriculture +Cerrado,BAHIA,Baianópolis,4.59,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,9.8,2020,agriculture +Caatinga,BAHIA,Buritirama,9.91,2020,agriculture +Cerrado,BAHIA,São Desidério,96.69,2020,agriculture +Caatinga,BAHIA,Miguel Calmon,31.47,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,1.64,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,36.75,2020,agriculture +Mata Atlântica,BAHIA,Itagibá,50.07,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,51.23,2020,agriculture +Cerrado,BAHIA,Caetité,2.72,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,13.97,2020,agriculture +Caatinga,BAHIA,Aracatu,24.56,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,2.51,2020,agriculture +Caatinga,BAHIA,Wanderley,5.96,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.05,2020,agriculture +Caatinga,BAHIA,Xique-Xique,7.84,2020,agriculture +Caatinga,BAHIA,Paramirim,2.01,2020,agriculture +Caatinga,BAHIA,Santana,19.91,2020,agriculture +Mata Atlântica,BAHIA,Mascote,16.04,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.59,2020,agriculture +Caatinga,BAHIA,Aracatu,3.47,2020,agriculture +Cerrado,BAHIA,Caetité,3.36,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,1.37,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,3.33,2020,agriculture +Caatinga,BAHIA,Caetité,15.84,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,1.07,2020,agriculture +Caatinga,BAHIA,Santaluz,6.14,2020,agriculture +Caatinga,BAHIA,Miguel Calmon,2.66,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,11.65,2020,agriculture +Mata Atlântica,BAHIA,Una,11.67,2021,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,5.19,2021,agriculture +Caatinga,BAHIA,Cansanção,1.45,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,9.44,2021,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,5.7,2021,agriculture +Caatinga,BAHIA,Malhada,7.11,2021,agriculture +Caatinga,BAHIA,Buritirama,0.26,2021,agriculture +Cerrado,BAHIA,Baianópolis,11.61,2021,agriculture +Mata Atlântica,BAHIA,São Gonçalo dos Campos,2.37,2021,agriculture +Caatinga,BAHIA,Casa Nova,5.6,2021,agriculture +Mata Atlântica,BAHIA,Buerarema,5.04,2021,agriculture +Mata Atlântica,BAHIA,Brejões,9.58,2021,agriculture +Mata Atlântica,BAHIA,Itacaré,4.45,2021,agriculture +Mata Atlântica,BAHIA,Guaratinga,3.77,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.52,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,4.99,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,11.96,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,29.89,2021,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,7.48,2021,agriculture +Caatinga,BAHIA,Mairi,22.79,2021,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.88,2021,agriculture +Caatinga,BAHIA,Caturama,0.98,2021,agriculture +Caatinga,BAHIA,Monte Santo,0.71,2021,agriculture +Caatinga,BAHIA,Angical,2.44,2021,agriculture +Caatinga,BAHIA,Angical,2.47,2021,agriculture +Caatinga,BAHIA,Paratinga,6.02,2021,agriculture +Caatinga,BAHIA,Brumado,7.64,2021,agriculture +Caatinga,BAHIA,Dom Basílio,6.63,2021,agriculture +Caatinga,BAHIA,Rio de Contas,2.44,2021,agriculture +Caatinga,BAHIA,Wagner,3.1,2021,agriculture +Cerrado,BAHIA,São Desidério,617.48,2021,others +Caatinga,BAHIA,Ibotirama,19.31,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,279.04,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,333.42,2021,agriculture +Mata Atlântica,BAHIA,Rio Real,5.14,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,8.27,2021,agriculture +Caatinga,BAHIA,Piatã,6.23,2021,others +Caatinga,BAHIA,Santa Terezinha,0.65,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,13.05,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,2.63,2021,agriculture +Caatinga,BAHIA,Caturama,9.61,2021,others +Caatinga,BAHIA,Rio do Pires,2.47,2021,others +Caatinga,BAHIA,Rio do Antônio,1.63,2021,others +Caatinga,BAHIA,Brumado,2.78,2021,others +Caatinga,BAHIA,Quijingue,31.5,2021,others +Caatinga,BAHIA,Santa Terezinha,20.19,2021,agriculture +Cerrado,BAHIA,Barreiras,313.34,2021,agriculture +Mata Atlântica,BAHIA,Barro Preto,6.73,2021,agriculture +Caatinga,BAHIA,Carinhanha,6.3,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.44,2020,agriculture +Cerrado,BAHIA,Jaborandi,2.59,2020,agriculture +Caatinga,BAHIA,Barra,1.29,2020,others +Caatinga,BAHIA,Urandi,3.18,2020,others +Caatinga,BAHIA,Angical,16.78,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,4.93,2020,agriculture +Caatinga,BAHIA,Barra,7.79,2020,agriculture +Caatinga,BAHIA,Wanderley,0.63,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.87,2020,agriculture +Caatinga,BAHIA,Mansidão,4.41,2020,agriculture +Caatinga,BAHIA,Malhada,0.53,2020,agriculture +Caatinga,BAHIA,Brejolândia,0.9,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,9.9,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,0.48,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.62,2020,agriculture +Cerrado,BAHIA,Catolândia,19.27,2020,agriculture +Caatinga,BAHIA,Canápolis,2.09,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,4.77,2020,agriculture +Cerrado,BAHIA,Jaborandi,4.15,2020,agriculture +Cerrado,BAHIA,Baianópolis,8.54,2020,agriculture +Cerrado,BAHIA,Correntina,0.79,2020,agriculture +Cerrado,BAHIA,Correntina,2.13,2020,agriculture +Cerrado,BAHIA,Baianópolis,15.11,2020,agriculture +Caatinga,BAHIA,Barra,1.39,2020,others +Caatinga,BAHIA,Buritirama,2.78,2020,agriculture +Caatinga,BAHIA,Buritirama,2.41,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,1.83,2020,agriculture +Caatinga,BAHIA,Buritirama,2.22,2020,others +Caatinga,BAHIA,Buritirama,1.33,2020,others +Caatinga,BAHIA,Pilão Arcado,1.04,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,3.75,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.05,2020,agriculture +Caatinga,BAHIA,Angical,4.33,2020,others +Caatinga,BAHIA,Angical,6.76,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.07,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.16,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,3.22,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,8.01,2020,agriculture +Cerrado,BAHIA,Barreiras,17.8,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,4.58,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.84,2020,agriculture +Cerrado,BAHIA,Coribe,3.33,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,0.53,2021,agriculture +Caatinga,BAHIA,Vitória da Conquista,4.42,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,2.22,2021,agriculture +Cerrado,BAHIA,Mortugaba,16.72,2021,agriculture +Caatinga,BAHIA,Campo Formoso,4.45,2021,agriculture +Caatinga,BAHIA,Aracatu,6.59,2021,others +Caatinga,BAHIA,Urandi,0.45,2021,agriculture +Caatinga,BAHIA,América Dourada,31.99,2021,agriculture +Caatinga,BAHIA,Sento Sé,0.31,2021,agriculture +Caatinga,BAHIA,Ponto Novo,0.82,2021,agriculture +Caatinga,BAHIA,Ponto Novo,3.11,2021,agriculture +Caatinga,BAHIA,Chorrochó,2.86,2021,agriculture +Caatinga,BAHIA,Caturama,1.38,2021,others +Caatinga,BAHIA,Barra,24.59,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.72,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,24.76,2021,agriculture +Mata Atlântica,BAHIA,Araçás,4.14,2021,agriculture +Mata Atlântica,BAHIA,Porto Seguro,6.34,2021,agriculture +Mata Atlântica,BAHIA,Itapetinga,8.57,2021,agriculture +Caatinga,BAHIA,Sobradinho,11.1,2021,agriculture +Caatinga,BAHIA,Cotegipe,2.69,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,1.72,2021,agriculture +Mata Atlântica,BAHIA,Tremedal,0.39,2021,agriculture +Caatinga,BAHIA,Anagé,5.15,2021,agriculture +Mata Atlântica,BAHIA,Itatim,1.29,2021,agriculture +Caatinga,BAHIA,Cocos,14.77,2021,agriculture +Mata Atlântica,BAHIA,Valença,9.56,2021,agriculture +Caatinga,BAHIA,Pedro Alexandre,6.5,2021,agriculture +Caatinga,BAHIA,Sítio do Quinto,4.78,2021,agriculture +Caatinga,BAHIA,Macaúbas,5.32,2021,agriculture +Caatinga,BAHIA,Jacaraci,11.16,2021,others +Caatinga,BAHIA,Malhada de Pedras,1.81,2021,others +Caatinga,BAHIA,Rio do Antônio,3.12,2021,agriculture +Mata Atlântica,BAHIA,Inhambupe,10.78,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,13.22,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,11.44,2021,others +Mata Atlântica,BAHIA,Coaraci,8.25,2021,agriculture +Caatinga,BAHIA,Itaeté,3.45,2021,others +Cerrado,BAHIA,Baianópolis,1348.52,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,17.49,2021,agriculture +Mata Atlântica,BAHIA,Mascote,17.98,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,10.91,2021,agriculture +Mata Atlântica,BAHIA,Valença,7.77,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,1.73,2021,agriculture +Mata Atlântica,BAHIA,Pau Brasil,3.92,2021,agriculture +Caatinga,BAHIA,Rafael Jambeiro,56.5,2021,agriculture +Caatinga,BAHIA,Iramaia,2.48,2021,others +Caatinga,BAHIA,Mansidão,7.85,2021,agriculture +Caatinga,BAHIA,Buritirama,1.24,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,1.2,2021,agriculture +Caatinga,BAHIA,Lagoa Real,8.58,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,5.61,2021,agriculture +Caatinga,BAHIA,Contendas do Sincorá,1.29,2021,agriculture +Caatinga,BAHIA,Maracás,26.36,2021,agriculture +Caatinga,BAHIA,Buritirama,1.74,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.89,2021,agriculture +Caatinga,BAHIA,Botuporã,15.18,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.96,2021,agriculture +Caatinga,BAHIA,Barra,6.73,2021,others +Caatinga,BAHIA,Angical,18.38,2021,others +Caatinga,BAHIA,Santana,6.78,2021,agriculture +Caatinga,BAHIA,Campo Formoso,2.51,2021,agriculture +Caatinga,BAHIA,Uauá,7.15,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,4.27,2021,agriculture +Caatinga,BAHIA,Mansidão,7.34,2021,others +Caatinga,BAHIA,Muquém do São Francisco,4.08,2021,others +Caatinga,BAHIA,Licínio de Almeida,5.47,2021,others +Caatinga,BAHIA,Paratinga,0.88,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,1.82,2021,agriculture +Caatinga,BAHIA,Aracatu,0.91,2021,others +Caatinga,BAHIA,Casa Nova,19.3,2021,others +Caatinga,BAHIA,Euclides da Cunha,116.02,2021,agriculture +Caatinga,BAHIA,Chorrochó,27.28,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,26.23,2021,agriculture +Caatinga,BAHIA,Cotegipe,20.12,2021,others +Caatinga,BAHIA,Paratinga,7.49,2021,others +Caatinga,BAHIA,Boa Nova,18.38,2021,others +Caatinga,BAHIA,Jacaraci,1.59,2021,others +Caatinga,BAHIA,Cotegipe,10.22,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,24.57,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,31.47,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,6.72,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.37,2021,agriculture +Caatinga,BAHIA,Campo Formoso,2.58,2021,agriculture +Caatinga,BAHIA,Aracatu,2.07,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,35.0,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,19.06,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,12.49,2021,agriculture +Mata Atlântica,BAHIA,Itarantim,12.52,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.1,2022,agriculture +Mata Atlântica,BAHIA,Maracás,22.88,2022,agriculture +Mata Atlântica,BAHIA,Itambé,11.13,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,0.54,2022,agriculture +Cerrado,BAHIA,São Desidério,44.19,2022,agriculture +Cerrado,BAHIA,Barreiras,7.65,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,4.34,2022,agriculture +Cerrado,BAHIA,Brejolândia,16.6,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.78,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,25.27,2022,agriculture +Caatinga,BAHIA,Paulo Afonso,11.89,2022,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,0.82,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,168.06,2022,agriculture +Mata Atlântica,BAHIA,Itabela,1.43,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.04,2022,agriculture +Mata Atlântica,BAHIA,Vereda,2.52,2022,agriculture +Mata Atlântica,BAHIA,Itabela,0.25,2022,agriculture +Cerrado,BAHIA,Jaborandi,411.96,2022,agriculture +Cerrado,BAHIA,Caetité,11.25,2022,renewable_energy_project +Cerrado,BAHIA,Tanque Novo,0.88,2022,agriculture +Caatinga,BAHIA,Paramirim,2.78,2022,agriculture +Caatinga,BAHIA,Jussiape,1.11,2022,agriculture +Caatinga,BAHIA,Piatã,0.55,2022,others +Caatinga,BAHIA,Riacho de Santana,0.9,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,4.02,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.05,2022,others +Caatinga,BAHIA,Matina,9.11,2022,agriculture +Caatinga,BAHIA,Planaltino,10.54,2022,others +Cerrado,BAHIA,Tanque Novo,4.19,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.89,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.59,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,9.68,2022,others +Caatinga,BAHIA,Paulo Afonso,4.16,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,0.71,2022,agriculture +Caatinga,BAHIA,Marcionílio Souza,7.43,2022,others +Caatinga,BAHIA,Campo Formoso,1.1,2022,others +Caatinga,BAHIA,Ribeira do Amparo,40.48,2022,agriculture +Caatinga,BAHIA,Mirangaba,18.05,2022,others +Cerrado,BAHIA,Igaporã,0.39,2022,agriculture +Caatinga,BAHIA,Euclides da Cunha,12.02,2022,others +Mata Atlântica,BAHIA,Ipecaetá,11.47,2022,agriculture +Mata Atlântica,BAHIA,Valença,0.84,2022,agriculture +Mata Atlântica,BAHIA,Jaguaquara,0.51,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.68,2022,agriculture +Mata Atlântica,BAHIA,Irará,2.16,2022,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,0.61,2022,agriculture +Mata Atlântica,BAHIA,Camaçari,6.86,2022,agriculture +Caatinga,BAHIA,América Dourada,3.49,2022,agriculture +Caatinga,BAHIA,Ibipeba,72.16,2022,others +Caatinga,BAHIA,Gentio do Ouro,6.6,2022,agriculture +Caatinga,BAHIA,Sobradinho,2.89,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,3.24,2022,agriculture +Cerrado,BAHIA,São Desidério,39.98,2022,agriculture +Caatinga,BAHIA,Serra Dourada,3.44,2022,others +Caatinga,BAHIA,Santana,14.22,2022,others +Caatinga,BAHIA,Ituaçu,0.96,2022,others +Caatinga,BAHIA,Rio de Contas,25.9,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,3.1,2022,others +Caatinga,BAHIA,Itapicuru,40.28,2022,others +Caatinga,BAHIA,Tanque Novo,4.48,2022,others +Caatinga,BAHIA,Miguel Calmon,4.29,2022,others +Cerrado,BAHIA,Cotegipe,2.84,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,9.35,2022,others +Caatinga,BAHIA,Sebastião Laranjeiras,13.91,2022,others +Cerrado,BAHIA,São Desidério,4.47,2022,agriculture +Caatinga,BAHIA,Rio de Contas,8.05,2022,others +Cerrado,BAHIA,Cocos,173.34,2022,agriculture +Cerrado,BAHIA,Jaborandi,540.83,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,2.04,2022,others +Caatinga,BAHIA,Condeúba,0.82,2022,others +Caatinga,BAHIA,Monte Santo,7.18,2022,others +Caatinga,BAHIA,Uauá,1.34,2022,others +Cerrado,BAHIA,Tanque Novo,4.59,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,3.89,2022,others +Caatinga,BAHIA,Aracatu,1.84,2022,others +Caatinga,BAHIA,Uauá,6.42,2022,others +Caatinga,BAHIA,Uauá,2.28,2022,others +Caatinga,BAHIA,Boquira,6.15,2022,others +Caatinga,BAHIA,Feira da Mata,14.38,2022,others +Caatinga,BAHIA,Barra da Estiva,30.71,2022,others +Mata Atlântica,BAHIA,Feira de Santana,31.03,2022,agriculture +Mata Atlântica,BAHIA,Valença,1.71,2022,agriculture +Mata Atlântica,BAHIA,Itarantim,2.8,2022,agriculture +Mata Atlântica,BAHIA,Pau Brasil,4.4,2022,agriculture +Mata Atlântica,BAHIA,Planalto,7.35,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,0.57,2022,agriculture +Mata Atlântica,BAHIA,Aporá,11.37,2022,agriculture +Mata Atlântica,BAHIA,Aporá,16.08,2022,agriculture +Caatinga,BAHIA,Itapicuru,3.41,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,10.26,2022,agriculture +Cerrado,BAHIA,Barreiras,93.52,2022,agriculture +Cerrado,BAHIA,Barreiras,28.21,2022,agriculture +Mata Atlântica,BAHIA,Belmonte,7.06,2019,agriculture +Cerrado,BAHIA,Barreiras,371.35,2019,agriculture +Cerrado,BAHIA,Brejolândia,4.32,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,0.52,2019,urban_expansion +Cerrado,BAHIA,Correntina,11.83,2019,agriculture +Caatinga,BAHIA,Serra do Ramalho,12.88,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,15.86,2019,agriculture +Mata Atlântica,BAHIA,Prado,22.18,2019,others +Mata Atlântica,BAHIA,Itabela,4.75,2019,agriculture +Cerrado,BAHIA,Barreiras,58.99,2019,agriculture +Mata Atlântica,BAHIA,Jandaíra,8.77,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,5.51,2019,agriculture +Caatinga,BAHIA,Miguel Calmon,7.44,2019,agriculture +Caatinga,BAHIA,Condeúba,2.27,2019,agriculture +Caatinga,BAHIA,Morro do Chapéu,8.93,2019,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,2.5,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,23.09,2019,agriculture +Cerrado,BAHIA,Barreiras,276.35,2019,agriculture +Cerrado,BAHIA,São Desidério,2.68,2019,agriculture +Caatinga,BAHIA,Angical,34.26,2019,agriculture +Cerrado,BAHIA,São Desidério,29.85,2019,agriculture +Cerrado,BAHIA,São Desidério,7.93,2019,agriculture +Cerrado,BAHIA,Jaborandi,1065.98,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,100.38,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1552.16,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,168.99,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,2032.02,2019,agriculture +Cerrado,BAHIA,Coribe,21.46,2019,agriculture +Caatinga,BAHIA,Muquém do São Francisco,271.0,2019,agriculture +Cerrado,BAHIA,Jaborandi,198.38,2019,agriculture +Mata Atlântica,BAHIA,Alcobaça,13.78,2019,agriculture +Mata Atlântica,BAHIA,Itapitanga,2.31,2019,agriculture +Mata Atlântica,BAHIA,Itacaré,2.26,2019,agriculture +Mata Atlântica,BAHIA,Valença,4.99,2019,agriculture +Mata Atlântica,BAHIA,Nazaré,1.84,2019,agriculture +Mata Atlântica,BAHIA,Guaratinga,3.04,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,97.79,2019,agriculture +Mata Atlântica,BAHIA,Itabuna,1.18,2019,agriculture +Mata Atlântica,BAHIA,Porto Seguro,1.83,2019,agriculture +Mata Atlântica,BAHIA,Jiquiriçá,4.98,2019,agriculture +Mata Atlântica,BAHIA,Jaguaripe,2.99,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,1.67,2019,agriculture +Cerrado,BAHIA,Catolândia,33.67,2020,agriculture +Cerrado,BAHIA,Coribe,14.03,2020,agriculture +Cerrado,BAHIA,Cristópolis,5.88,2020,agriculture +Cerrado,BAHIA,Cocos,104.13,2020,agriculture +Caatinga,BAHIA,Santana,61.58,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,6.14,2020,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,1.33,2020,agriculture +Mata Atlântica,BAHIA,Mascote,28.98,2020,agriculture +Mata Atlântica,BAHIA,Eunápolis,6.3,2020,agriculture +Mata Atlântica,BAHIA,Pau Brasil,3.76,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,13.67,2020,agriculture +Caatinga,BAHIA,Poções,4.92,2020,agriculture +Caatinga,BAHIA,Barreiras,33.91,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,24.76,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,3.81,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,38.86,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,4.6,2020,agriculture +Cerrado,BAHIA,São Desidério,51.76,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,6.97,2020,agriculture +Caatinga,BAHIA,Urandi,3.09,2020,agriculture +Cerrado,BAHIA,Mansidão,10.5,2020,agriculture +Caatinga,BAHIA,Rio de Contas,5.4,2020,agriculture +Caatinga,BAHIA,Casa Nova,44.37,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,9.92,2020,agriculture +Cerrado,BAHIA,Barreiras,4.55,2020,agriculture +Caatinga,BAHIA,Feira da Mata,2.49,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,5.71,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.18,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,10.7,2020,agriculture +Caatinga,BAHIA,Paratinga,2.59,2020,agriculture +Cerrado,BAHIA,Correntina,3.51,2020,agriculture +Mata Atlântica,BAHIA,Jequié,6.06,2020,agriculture +Caatinga,BAHIA,Coribe,27.76,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,4.23,2020,agriculture +Mata Atlântica,BAHIA,Almadina,2.41,2020,agriculture +Caatinga,BAHIA,Piritiba,25.22,2020,agriculture +Cerrado,BAHIA,Jaborandi,1135.88,2020,agriculture +Caatinga,BAHIA,Cocos,83.59,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,6.74,2020,agriculture +Cerrado,BAHIA,Jaborandi,5.66,2020,agriculture +Caatinga,BAHIA,Santana,13.55,2020,agriculture +Caatinga,BAHIA,Jacaraci,10.66,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,9.33,2020,agriculture +Cerrado,BAHIA,Igaporã,16.4,2020,agriculture +Caatinga,BAHIA,Morpará,13.53,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,112.04,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,2.26,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,26.86,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,18.28,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,13.25,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,32.24,2020,agriculture +Caatinga,BAHIA,Glória,3.42,2020,agriculture +Caatinga,BAHIA,Carinhanha,3.63,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,0.54,2020,agriculture +Caatinga,BAHIA,Santana,55.09,2020,agriculture +Caatinga,BAHIA,Xique-Xique,26.5,2020,agriculture +Caatinga,BAHIA,Mansidão,4.91,2020,agriculture +Mata Atlântica,BAHIA,Alagoinhas,1.81,2020,agriculture +Caatinga,BAHIA,Miguel Calmon,14.82,2020,agriculture +Caatinga,BAHIA,Feira da Mata,49.53,2020,agriculture +Caatinga,BAHIA,Condeúba,0.44,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,34.2,2020,agriculture +Caatinga,BAHIA,Carinhanha,3.18,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,14.68,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,5.86,2020,agriculture +Caatinga,BAHIA,Ibiassucê,1.79,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,11.71,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.61,2020,agriculture +Caatinga,BAHIA,São Gabriel,16.56,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,1.02,2020,agriculture +Cerrado,BAHIA,Correntina,4.16,2020,agriculture +Caatinga,BAHIA,Cotegipe,10.29,2020,agriculture +Cerrado,BAHIA,Correntina,15.32,2020,agriculture +Caatinga,BAHIA,Angical,46.31,2020,agriculture +Mata Atlântica,BAHIA,Valença,1.28,2020,agriculture +Mata Atlântica,BAHIA,Itacaré,1.14,2020,agriculture +Mata Atlântica,BAHIA,Guaratinga,2.91,2020,agriculture +Mata Atlântica,BAHIA,Potiraguá,73.39,2020,agriculture +Caatinga,BAHIA,Antônio Gonçalves,2.52,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.85,2020,agriculture +Caatinga,BAHIA,Rio do Antônio,1.74,2020,agriculture +Caatinga,BAHIA,Paramirim,1.02,2020,agriculture +Caatinga,BAHIA,Brumado,8.12,2020,agriculture +Caatinga,BAHIA,Tanhaçu,1.69,2020,agriculture +Caatinga,BAHIA,Aracatu,41.77,2020,agriculture +Caatinga,BAHIA,Aracatu,2.92,2020,agriculture +Caatinga,BAHIA,Urandi,1.42,2020,agriculture +Caatinga,BAHIA,Boquira,1.73,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,13.07,2020,agriculture +Caatinga,BAHIA,Feira de Santana,11.04,2020,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,2.14,2020,agriculture +Mata Atlântica,BAHIA,Jaguaripe,0.88,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,7.37,2020,agriculture +Caatinga,BAHIA,Santana,19.42,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,37.91,2021,agriculture +Mata Atlântica,BAHIA,Planalto,2.83,2021,agriculture +Cerrado,BAHIA,Barreiras,170.26,2021,agriculture +Caatinga,BAHIA,Cotegipe,13.9,2021,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,2.89,2021,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,0.88,2021,agriculture +Caatinga,BAHIA,Feira de Santana,21.27,2021,agriculture +Mata Atlântica,BAHIA,Alagoinhas,12.22,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,8.94,2021,agriculture +Mata Atlântica,BAHIA,Água Fria,11.84,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,20.19,2021,agriculture +Cerrado,BAHIA,Correntina,272.74,2021,agriculture +Mata Atlântica,BAHIA,Uruçuca,3.59,2021,agriculture +Mata Atlântica,BAHIA,Itagi,11.75,2021,agriculture +Mata Atlântica,BAHIA,Maiquinique,12.9,2021,mining +Caatinga,BAHIA,Souto Soares,2.04,2021,agriculture +Cerrado,BAHIA,São Desidério,89.68,2021,agriculture +Mata Atlântica,BAHIA,Itagibá,3.01,2021,urban_expansion +Cerrado,BAHIA,Baianópolis,381.66,2021,agriculture +Caatinga,BAHIA,Tapiramutá,2.28,2021,agriculture +Cerrado,BAHIA,Macaúbas,1.4,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,4.8,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1.64,2021,agriculture +Caatinga,BAHIA,Rio do Pires,4.99,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,22.11,2021,agriculture +Caatinga,BAHIA,Lagoa Real,3.24,2021,agriculture +Caatinga,BAHIA,Abaíra,0.81,2021,agriculture +Caatinga,BAHIA,Abaré,5.07,2021,agriculture +Caatinga,BAHIA,Campo Formoso,12.34,2021,agriculture +Caatinga,BAHIA,Cotegipe,2.83,2021,agriculture +Caatinga,BAHIA,Jeremoabo,15.86,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,12.64,2021,agriculture +Caatinga,BAHIA,Seabra,1.61,2021,agriculture +Caatinga,BAHIA,Juazeiro,2.33,2021,agriculture +Mata Atlântica,BAHIA,Conceição do Almeida,15.31,2021,agriculture +Caatinga,BAHIA,Ribeira do Amparo,71.01,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.02,2021,agriculture +Caatinga,BAHIA,Casa Nova,0.55,2021,agriculture +Caatinga,BAHIA,Tapiramutá,19.16,2021,others +Caatinga,BAHIA,Ruy Barbosa,25.09,2021,others +Cerrado,BAHIA,Barreiras,17.86,2021,agriculture +Caatinga,BAHIA,Condeúba,4.45,2021,agriculture +Cerrado,BAHIA,Brejolândia,53.55,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,77.01,2021,others +Mata Atlântica,BAHIA,Buerarema,1.69,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,15.19,2021,agriculture +Caatinga,BAHIA,Brejolândia,3.09,2021,others +Caatinga,BAHIA,Piritiba,0.3,2021,others +Caatinga,BAHIA,Cotegipe,20.95,2021,agriculture +Caatinga,BAHIA,Barra,2.87,2020,others +Caatinga,BAHIA,Urandi,0.69,2020,others +Caatinga,BAHIA,Angical,4.74,2020,others +Caatinga,BAHIA,Angical,1.59,2020,others +Caatinga,BAHIA,Angical,3.04,2020,others +Caatinga,BAHIA,Barra,1.33,2020,others +Caatinga,BAHIA,Buritirama,1.54,2020,others +Caatinga,BAHIA,Mansidão,1.35,2020,others +Caatinga,BAHIA,Iuiu,13.18,2020,others +Caatinga,BAHIA,Serra Dourada,1.39,2020,others +Cerrado,BAHIA,Santa Maria da Vitória,7.63,2020,agriculture +Cerrado,BAHIA,São Desidério,1.05,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,1.82,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,15.19,2020,agriculture +Cerrado,BAHIA,São Desidério,12.06,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,3.53,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,6.21,2020,agriculture +Caatinga,BAHIA,Brejolândia,3.48,2020,others +Cerrado,BAHIA,Tabocas do Brejo Velho,3.16,2020,agriculture +Caatinga,BAHIA,Jaborandi,7.44,2020,agriculture +Caatinga,BAHIA,Barra,1.78,2020,agriculture +Caatinga,BAHIA,Buritirama,1.98,2020,agriculture +Caatinga,BAHIA,Buritirama,1.47,2020,agriculture +Caatinga,BAHIA,Mansidão,0.73,2020,others +Caatinga,BAHIA,Mansidão,1.12,2020,others +Caatinga,BAHIA,Pilão Arcado,1.92,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,2.4,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,11.33,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.32,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.9,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,4.76,2020,agriculture +Caatinga,BAHIA,Angical,5.55,2020,agriculture +Cerrado,BAHIA,Barreiras,5.53,2020,agriculture +Cerrado,BAHIA,Barreiras,26.61,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,7.3,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.5,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.83,2020,others +Caatinga,BAHIA,Carinhanha,1.32,2020,agriculture +Caatinga,BAHIA,Carinhanha,21.61,2020,agriculture +Caatinga,BAHIA,Coribe,7.16,2020,agriculture +Caatinga,BAHIA,Buritirama,0.36,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,4.36,2021,agriculture +Caatinga,BAHIA,Ibitiara,0.47,2021,agriculture +Mata Atlântica,BAHIA,Itatim,0.27,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,10.22,2021,others +Caatinga,BAHIA,Macaúbas,4.24,2021,others +Caatinga,BAHIA,Guajeru,4.69,2021,agriculture +Mata Atlântica,BAHIA,Belo Campo,2.06,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,31.46,2021,agriculture +Mata Atlântica,BAHIA,Conde,29.41,2021,agriculture +Mata Atlântica,BAHIA,Prado,28.4,2021,agriculture +Mata Atlântica,BAHIA,Camacan,7.87,2021,agriculture +Mata Atlântica,BAHIA,Guaratinga,6.77,2021,agriculture +Caatinga,BAHIA,Brejolândia,1.31,2021,others +Caatinga,BAHIA,Riacho de Santana,10.31,2021,agriculture +Cerrado,BAHIA,Correntina,29.96,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,11.95,2021,agriculture +Caatinga,BAHIA,Aracatu,1.65,2021,others +Caatinga,BAHIA,Bom Jesus da Lapa,1.81,2021,agriculture +Cerrado,BAHIA,Igaporã,6.1,2021,agriculture +Caatinga,BAHIA,Jacaraci,5.56,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,16.23,2021,others +Caatinga,BAHIA,Santana,51.48,2021,agriculture +Mata Atlântica,BAHIA,Laje,1.0,2021,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,12.36,2021,agriculture +Mata Atlântica,BAHIA,Itagibá,11.86,2021,agriculture +Mata Atlântica,BAHIA,Jucuruçu,13.1,2021,agriculture +Caatinga,BAHIA,Jacobina,13.7,2021,others +Cerrado,BAHIA,Coribe,20.51,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.55,2021,agriculture +Caatinga,BAHIA,Wanderley,5.3,2021,others +Mata Atlântica,BAHIA,Canavieiras,7.92,2021,agriculture +Mata Atlântica,BAHIA,Prado,2.93,2021,agriculture +Caatinga,BAHIA,Lajedinho,15.35,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,14.28,2021,agriculture +Caatinga,BAHIA,Curaçá,20.47,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,34.75,2021,agriculture +Mata Atlântica,BAHIA,Itapetinga,4.16,2021,agriculture +Mata Atlântica,BAHIA,Itaju do Colônia,11.82,2021,agriculture +Caatinga,BAHIA,Iaçu,39.86,2021,agriculture +Mata Atlântica,BAHIA,Camamu,3.95,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,5.25,2021,agriculture +Caatinga,BAHIA,Utinga,6.3,2021,agriculture +Caatinga,BAHIA,Buritirama,5.68,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,3.33,2021,agriculture +Mata Atlântica,BAHIA,Pau Brasil,1.05,2021,agriculture +Mata Atlântica,BAHIA,Una,8.71,2021,agriculture +Caatinga,BAHIA,Mansidão,9.9,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,10.03,2021,agriculture +Caatinga,BAHIA,Ribeira do Amparo,111.67,2021,agriculture +Caatinga,BAHIA,Contendas do Sincorá,1.44,2021,agriculture +Caatinga,BAHIA,Buritirama,0.81,2021,agriculture +Caatinga,BAHIA,Buritirama,0.82,2021,agriculture +Caatinga,BAHIA,Barra,0.92,2021,agriculture +Caatinga,BAHIA,Buritirama,5.87,2021,agriculture +Caatinga,BAHIA,Casa Nova,3.62,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.08,2021,agriculture +Caatinga,BAHIA,Angical,4.9,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,10.18,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.2,2021,agriculture +Caatinga,BAHIA,Adustina,15.46,2021,others +Caatinga,BAHIA,Carinhanha,2.99,2021,others +Caatinga,BAHIA,Muquém do São Francisco,5.5,2021,others +Caatinga,BAHIA,Ruy Barbosa,26.34,2021,agriculture +Caatinga,BAHIA,Adustina,4.32,2021,others +Cerrado,BAHIA,Cocos,2.22,2021,agriculture +Cerrado,BAHIA,Barreiras,5.42,2021,agriculture +Caatinga,BAHIA,Carinhanha,18.65,2021,others +Caatinga,BAHIA,Matina,8.56,2021,others +Caatinga,BAHIA,Licínio de Almeida,2.91,2021,others +Caatinga,BAHIA,Urandi,1.22,2021,others +Caatinga,BAHIA,Paratinga,7.19,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,2.06,2021,agriculture +Caatinga,BAHIA,Aracatu,2.09,2021,others +Caatinga,BAHIA,Brumado,3.66,2021,others +Caatinga,BAHIA,Ipirá,2.74,2021,others +Caatinga,BAHIA,Ribeira do Amparo,19.69,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,7.31,2021,agriculture +Caatinga,BAHIA,Barra,29.64,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,771.0,2021,agriculture +Caatinga,BAHIA,Wanderley,111.43,2021,others +Caatinga,BAHIA,Paratinga,1.4,2021,agriculture +Cerrado,BAHIA,Baianópolis,1015.77,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,29.69,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,35.64,2021,others +Caatinga,BAHIA,Guanambi,29.35,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,12.49,2021,others +Cerrado,BAHIA,Jaborandi,23.49,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,25.99,2021,agriculture +Mata Atlântica,BAHIA,Valença,4.26,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,1.16,2021,agriculture +Mata Atlântica,BAHIA,Prado,7.21,2021,agriculture +Caatinga,BAHIA,Coribe,4.64,2021,agriculture +Caatinga,BAHIA,Buritirama,1.82,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,1.25,2021,agriculture +Mata Atlântica,BAHIA,Medeiros Neto,3.11,2022,agriculture +Mata Atlântica,BAHIA,Itaju do Colônia,12.19,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.69,2022,agriculture +Mata Atlântica,BAHIA,Itapé,13.08,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,9.15,2022,agriculture +Cerrado,BAHIA,Baianópolis,173.73,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,30.09,2022,agriculture +Cerrado,BAHIA,Baianópolis,20.38,2022,agriculture +Cerrado,BAHIA,Correntina,12.42,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,308.83,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,66.79,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,3.81,2022,others +Caatinga,BAHIA,Ibotirama,5.89,2022,others +Caatinga,BAHIA,Buritirama,1.19,2022,agriculture +Caatinga,BAHIA,Macaúbas,10.4,2022,agriculture +Cerrado,BAHIA,Santana,4.3,2022,agriculture +Cerrado,BAHIA,Jaborandi,260.55,2022,agriculture +Cerrado,BAHIA,Barreiras,163.28,2022,agriculture +Cerrado,BAHIA,Cocos,56.31,2022,agriculture +Mata Atlântica,BAHIA,Guaratinga,1.2,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,0.74,2022,agriculture +Mata Atlântica,BAHIA,Jandaíra,0.62,2022,agriculture +Mata Atlântica,BAHIA,Itororó,53.68,2022,agriculture +Cerrado,BAHIA,São Desidério,2661.74,2022,agriculture +Caatinga,BAHIA,Mirangaba,28.59,2022,others +Caatinga,BAHIA,Riacho de Santana,5.35,2022,others +Cerrado,BAHIA,Igaporã,1.11,2022,agriculture +Caatinga,BAHIA,Paratinga,2.2,2022,others +Caatinga,BAHIA,Ipirá,10.84,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,2.36,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.72,2022,agriculture +Caatinga,BAHIA,Curaçá,2.76,2022,others +Caatinga,BAHIA,Ribeira do Amparo,47.6,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,9.46,2022,agriculture +Cerrado,BAHIA,Macaúbas,0.69,2022,agriculture +Mata Atlântica,BAHIA,Santa Inês,11.27,2022,agriculture +Caatinga,BAHIA,Cícero Dantas,8.76,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.02,2022,others +Caatinga,BAHIA,Matina,2.1,2022,agriculture +Mata Atlântica,BAHIA,Itapitanga,12.2,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.82,2022,agriculture +Mata Atlântica,BAHIA,Itambé,1.53,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.55,2022,agriculture +Mata Atlântica,BAHIA,Teolândia,0.56,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.96,2022,urban_expansion +Mata Atlântica,BAHIA,Pojuca,1.17,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,15.91,2022,agriculture +Cerrado,BAHIA,Correntina,10.38,2022,agriculture +Caatinga,BAHIA,Ipupiara,6.53,2022,agriculture +Caatinga,BAHIA,Coronel João Sá,18.3,2022,agriculture +Cerrado,BAHIA,São Desidério,4.5,2022,agriculture +Caatinga,BAHIA,Ituaçu,3.4,2022,agriculture +Caatinga,BAHIA,Sátiro Dias,15.91,2022,others +Caatinga,BAHIA,Jacobina,10.28,2022,agriculture +Caatinga,BAHIA,Ribeira do Pombal,3.02,2022,others +Caatinga,BAHIA,Sobradinho,5.69,2022,others +Caatinga,BAHIA,Jacobina,2.75,2022,agriculture +Caatinga,BAHIA,Sento Sé,1.36,2022,others +Cerrado,BAHIA,Coribe,8.05,2022,agriculture +Cerrado,BAHIA,Cristópolis,23.3,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,45.98,2022,others +Caatinga,BAHIA,Jeremoabo,1.19,2022,others +Caatinga,BAHIA,Piatã,2.13,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,9.82,2022,agriculture +Cerrado,BAHIA,Cotegipe,3.62,2022,agriculture +Caatinga,BAHIA,Condeúba,2.34,2022,others +Caatinga,BAHIA,Euclides da Cunha,30.32,2022,agriculture +Cerrado,BAHIA,Correntina,10.93,2022,agriculture +Cerrado,BAHIA,Caetité,2.46,2022,agriculture +Caatinga,BAHIA,Feira da Mata,8.06,2022,others +Caatinga,BAHIA,Jacaraci,7.67,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,18.89,2022,others +Caatinga,BAHIA,Queimadas,12.6,2022,others +Caatinga,BAHIA,Lagoa Real,1.84,2022,agriculture +Caatinga,BAHIA,Campo Formoso,3.61,2022,others +Cerrado,BAHIA,Cocos,1129.62,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,69.4,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,20.97,2022,agriculture +Caatinga,BAHIA,Ribeira do Pombal,2.05,2022,others +Caatinga,BAHIA,Riacho de Santana,0.66,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,9.41,2022,others +Caatinga,BAHIA,Iaçu,77.85,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,51.57,2022,agriculture +Caatinga,BAHIA,Coribe,1.83,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,8.73,2022,others +Caatinga,BAHIA,Itaeté,54.08,2022,others +Caatinga,BAHIA,Umburanas,0.53,2022,others +Mata Atlântica,BAHIA,Mucuri,0.56,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,0.43,2022,agriculture +Mata Atlântica,BAHIA,Valença,0.44,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.2,2022,agriculture +Mata Atlântica,BAHIA,Camacan,1.92,2022,agriculture +Mata Atlântica,BAHIA,Maraú,1.25,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,1.86,2022,agriculture +Caatinga,BAHIA,Juazeiro,11.98,2022,others +Cerrado,BAHIA,Tabocas do Brejo Velho,6.8,2022,agriculture +Cerrado,BAHIA,Baianópolis,8.96,2019,agriculture +Caatinga,BAHIA,Muquém do São Francisco,131.71,2019,agriculture +Caatinga,BAHIA,Serra Dourada,14.51,2019,agriculture +Caatinga,BAHIA,Mundo Novo,25.93,2019,agriculture +Cerrado,BAHIA,Cocos,16.29,2019,agriculture +Mata Atlântica,BAHIA,Itanagra,2.57,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,108.5,2019,agriculture +Caatinga,BAHIA,Angical,11.2,2019,agriculture +Caatinga,BAHIA,Santana,9.98,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,11.39,2019,agriculture +Caatinga,BAHIA,Brejolândia,49.94,2019,agriculture +Cerrado,BAHIA,Baianópolis,15.59,2019,agriculture +Caatinga,BAHIA,Itaberaba,9.57,2019,agriculture +Caatinga,BAHIA,Campo Formoso,18.96,2019,agriculture +Cerrado,BAHIA,Jaborandi,675.54,2019,agriculture +Caatinga,BAHIA,Tapiramutá,5.56,2019,agriculture +Mata Atlântica,BAHIA,Alagoinhas,21.69,2019,agriculture +Caatinga,BAHIA,Morro do Chapéu,5.81,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,70.4,2019,agriculture +Caatinga,BAHIA,Buritirama,16.1,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,11.52,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,298.84,2019,agriculture +Caatinga,BAHIA,Sítio do Mato,3.25,2019,agriculture +Cerrado,BAHIA,Cristópolis,7.87,2019,agriculture +Caatinga,BAHIA,Serra do Ramalho,56.61,2019,agriculture +Caatinga,BAHIA,Carinhanha,42.77,2019,agriculture +Caatinga,BAHIA,Serra do Ramalho,12.18,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.25,2019,agriculture +Caatinga,BAHIA,Carinhanha,3.39,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,37.54,2019,agriculture +Caatinga,BAHIA,Muquém do São Francisco,54.6,2019,agriculture +Cerrado,BAHIA,Jaborandi,11.0,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1015.45,2019,agriculture +Mata Atlântica,BAHIA,Candeias,6.87,2019,agriculture +Mata Atlântica,BAHIA,Ilhéus,2.05,2019,agriculture +Mata Atlântica,BAHIA,Uruçuca,4.42,2019,agriculture +Mata Atlântica,BAHIA,Aiquara,5.37,2019,agriculture +Mata Atlântica,BAHIA,Alcobaça,3.02,2019,agriculture +Mata Atlântica,BAHIA,Pau Brasil,5.06,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.17,2019,agriculture +Mata Atlântica,BAHIA,Salvador,12.42,2019,urban_expansion +Mata Atlântica,BAHIA,Ibirataia,4.6,2019,agriculture +Mata Atlântica,BAHIA,Itapebi,7.26,2019,agriculture +Cerrado,BAHIA,Correntina,25.42,2020,agriculture +Cerrado,BAHIA,Jaborandi,320.55,2020,agriculture +Cerrado,BAHIA,São Desidério,11.1,2020,agriculture +Cerrado,BAHIA,Jaborandi,2294.79,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,49.8,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,12.16,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,249.56,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,15.81,2020,agriculture +Cerrado,BAHIA,Correntina,304.05,2020,agriculture +Mata Atlântica,BAHIA,Conde,0.61,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,3.67,2020,agriculture +Mata Atlântica,BAHIA,Itacaré,1.73,2020,agriculture +Mata Atlântica,BAHIA,Camamu,1.04,2020,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,2.11,2020,agriculture +Mata Atlântica,BAHIA,Jussari,3.56,2020,agriculture +Mata Atlântica,BAHIA,Ipiaú,2.49,2020,agriculture +Mata Atlântica,BAHIA,Planalto,25.76,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,12.06,2020,agriculture +Caatinga,BAHIA,Angical,12.22,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.11,2020,agriculture +Caatinga,BAHIA,Angical,22.87,2020,agriculture +Caatinga,BAHIA,Jeremoabo,146.73,2020,agriculture +Caatinga,BAHIA,Itapicuru,406.32,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,62.55,2020,agriculture +Caatinga,BAHIA,Carinhanha,12.76,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,10.56,2020,agriculture +Mata Atlântica,BAHIA,Itagibá,7.18,2020,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.41,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,13.16,2020,agriculture +Caatinga,BAHIA,Lençóis,2.87,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,1.74,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,9.65,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,10.71,2020,agriculture +Caatinga,BAHIA,Belo Campo,7.9,2020,agriculture +Caatinga,BAHIA,Brejolândia,18.14,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,10.25,2020,agriculture +Cerrado,BAHIA,Baianópolis,13.09,2020,agriculture +Caatinga,BAHIA,Caculé,5.01,2020,agriculture +Caatinga,BAHIA,Urandi,2.73,2020,agriculture +Cerrado,BAHIA,Barreiras,10.19,2020,agriculture +Cerrado,BAHIA,São Desidério,20.13,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,11.58,2020,agriculture +Mata Atlântica,BAHIA,Taperoá,2.61,2020,agriculture +Caatinga,BAHIA,Miguel Calmon,7.82,2020,agriculture +Cerrado,BAHIA,Baianópolis,129.7,2020,agriculture +Caatinga,BAHIA,Carinhanha,71.41,2020,agriculture +Caatinga,BAHIA,Aracatu,2.53,2020,agriculture +Caatinga,BAHIA,Mansidão,13.36,2020,agriculture +Cerrado,BAHIA,Correntina,46.14,2020,agriculture +Caatinga,BAHIA,Anagé,1.74,2020,agriculture +Caatinga,BAHIA,Jaborandi,17.72,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,11.76,2020,agriculture +Caatinga,BAHIA,Tanque Novo,2.92,2020,agriculture +Caatinga,BAHIA,Aracatu,4.49,2020,agriculture +Caatinga,BAHIA,Canudos,8.18,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,1.34,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,1.02,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,12.66,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,4.68,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,85.9,2020,agriculture +Caatinga,BAHIA,Feira da Mata,1.76,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,29.46,2020,agriculture +Caatinga,BAHIA,Correntina,0.75,2020,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,18.06,2020,agriculture +Mata Atlântica,BAHIA,Macarani,8.2,2020,agriculture +Caatinga,BAHIA,Boninal,1.9,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,18.32,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,36.64,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.98,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,26.29,2020,agriculture +Caatinga,BAHIA,Boquira,9.64,2020,agriculture +Caatinga,BAHIA,Mundo Novo,7.02,2020,agriculture +Cerrado,BAHIA,São Desidério,18.14,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,9.03,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,1.1,2020,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,19.72,2020,agriculture +Mata Atlântica,BAHIA,Itororó,2.74,2020,agriculture +Caatinga,BAHIA,Carinhanha,30.6,2020,agriculture +Cerrado,BAHIA,Cristópolis,1.71,2020,agriculture +Caatinga,BAHIA,Buritirama,1.1,2020,agriculture +Mata Atlântica,BAHIA,Santa Inês,0.36,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,3.3,2020,agriculture +Caatinga,BAHIA,Ituaçu,0.86,2020,agriculture +Caatinga,BAHIA,Caetité,2.02,2020,agriculture +Caatinga,BAHIA,Mucugê,36.57,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,30.35,2020,agriculture +Cerrado,BAHIA,Serra Dourada,7.19,2020,agriculture +Cerrado,BAHIA,Baianópolis,52.72,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.22,2020,agriculture +Caatinga,BAHIA,Cotegipe,30.46,2020,agriculture +Caatinga,BAHIA,Barra,2.67,2020,agriculture +Cerrado,BAHIA,Cristópolis,15.67,2020,agriculture +Caatinga,BAHIA,Urandi,3.43,2020,agriculture +Caatinga,BAHIA,Rio do Antônio,17.99,2020,agriculture +Caatinga,BAHIA,Dom Basílio,2.42,2020,agriculture +Caatinga,BAHIA,Aracatu,4.37,2020,agriculture +Caatinga,BAHIA,Cotegipe,17.05,2020,agriculture +Caatinga,BAHIA,Remanso,6.3,2020,agriculture +Caatinga,BAHIA,Paratinga,1.21,2020,agriculture +Caatinga,BAHIA,Seabra,2.85,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,28.8,2020,agriculture +Caatinga,BAHIA,Tanhaçu,2.94,2020,agriculture +Caatinga,BAHIA,Guanambi,2.96,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,3.99,2020,agriculture +Caatinga,BAHIA,Paratinga,1.33,2020,agriculture +Caatinga,BAHIA,Ibicoara,0.88,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,7.9,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,12.5,2021,agriculture +Mata Atlântica,BAHIA,Cardeal da Silva,18.73,2021,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,1.08,2021,agriculture +Mata Atlântica,BAHIA,Itajuípe,7.22,2021,agriculture +Caatinga,BAHIA,Ibitiara,34.07,2021,agriculture +Caatinga,BAHIA,Angical,7.51,2021,agriculture +Caatinga,BAHIA,Caetité,2.13,2021,agriculture +Caatinga,BAHIA,Casa Nova,13.26,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,15.79,2021,agriculture +Caatinga,BAHIA,Serra Dourada,4.62,2021,agriculture +Caatinga,BAHIA,Sítio do Mato,17.92,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,7.16,2021,agriculture +Mata Atlântica,BAHIA,Eunápolis,1.9,2021,agriculture +Mata Atlântica,BAHIA,Pau Brasil,9.52,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,26.45,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,28.38,2021,agriculture +Mata Atlântica,BAHIA,Pau Brasil,4.25,2021,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,1.54,2021,agriculture +Cerrado,BAHIA,Baianópolis,333.24,2021,agriculture +Mata Atlântica,BAHIA,Taperoá,1.14,2021,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,5.63,2021,agriculture +Cerrado,BAHIA,Caetité,0.93,2021,agriculture +Caatinga,BAHIA,Brumado,0.51,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.08,2021,agriculture +Caatinga,BAHIA,Cotegipe,5.16,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,34.56,2021,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,4.75,2021,agriculture +Caatinga,BAHIA,Monte Santo,2.14,2021,agriculture +Mata Atlântica,BAHIA,Nazaré,1.38,2021,agriculture +Caatinga,BAHIA,Jacaraci,2.28,2021,agriculture +Cerrado,BAHIA,São Desidério,1326.77,2021,agriculture +Caatinga,BAHIA,Buritirama,1.53,2021,agriculture +Caatinga,BAHIA,Paramirim,0.8,2021,agriculture +Caatinga,BAHIA,Cansanção,25.74,2021,agriculture +Mata Atlântica,BAHIA,Elísio Medrado,4.0,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,3.08,2021,agriculture +Caatinga,BAHIA,Brejolândia,24.3,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,503.88,2021,agriculture +Mata Atlântica,BAHIA,Esplanada,3.63,2021,agriculture +Mata Atlântica,BAHIA,Alagoinhas,5.18,2021,agriculture +Caatinga,BAHIA,Tapiramutá,22.69,2021,agriculture +Caatinga,BAHIA,Jussiape,1.5,2021,others +Caatinga,BAHIA,Monte Santo,46.91,2021,others +Caatinga,BAHIA,Santa Terezinha,4.1,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,5.85,2021,others +Cerrado,BAHIA,Catolândia,8.46,2021,agriculture +Caatinga,BAHIA,Ribeira do Pombal,38.84,2021,agriculture +Caatinga,BAHIA,Irará,2.44,2021,others +Mata Atlântica,BAHIA,Itapicuru,16.47,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,8.67,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.77,2021,agriculture +Cerrado,BAHIA,Baianópolis,26.5,2021,agriculture +Mata Atlântica,BAHIA,Medeiros Neto,9.74,2021,agriculture +Caatinga,BAHIA,Lajedinho,16.98,2021,agriculture +Cerrado,BAHIA,Barreiras,5.51,2020,agriculture +Caatinga,BAHIA,Feira da Mata,0.33,2020,agriculture +Caatinga,BAHIA,Urandi,3.04,2020,others +Caatinga,BAHIA,Angical,0.96,2020,others +Caatinga,BAHIA,Muquém do São Francisco,2.06,2020,agriculture +Caatinga,BAHIA,Barra,3.74,2020,agriculture +Caatinga,BAHIA,Cristópolis,0.78,2020,others +Caatinga,BAHIA,Brejolândia,10.76,2020,others +Caatinga,BAHIA,Wanderley,0.86,2020,agriculture +Caatinga,BAHIA,Malhada,1.69,2020,others +Caatinga,BAHIA,Santana,4.32,2020,others +Cerrado,BAHIA,Santa Maria da Vitória,5.96,2020,agriculture +Caatinga,BAHIA,Santana,2.35,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,1.99,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,8.42,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,7.52,2020,agriculture +Caatinga,BAHIA,Carinhanha,4.36,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,1.59,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,1.21,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,3.5,2020,agriculture +Cerrado,BAHIA,Correntina,2.82,2020,agriculture +Cerrado,BAHIA,Correntina,4.37,2020,agriculture +Caatinga,BAHIA,Buritirama,1.9,2020,others +Caatinga,BAHIA,Buritirama,1.42,2020,others +Caatinga,BAHIA,Buritirama,0.72,2020,others +Caatinga,BAHIA,Buritirama,1.23,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,0.79,2020,agriculture +Caatinga,BAHIA,Mansidão,1.21,2020,agriculture +Caatinga,BAHIA,Mansidão,1.3,2020,others +Caatinga,BAHIA,Sítio do Mato,1.36,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,2.68,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,7.9,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,0.8,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,1.76,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,6.17,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,4.93,2020,agriculture +Cerrado,BAHIA,Barreiras,4.37,2020,agriculture +Cerrado,BAHIA,Barreiras,3.31,2020,agriculture +Cerrado,BAHIA,Barreiras,3.33,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.31,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,2.86,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.71,2020,agriculture +Caatinga,BAHIA,Cocos,48.71,2020,others +Cerrado,BAHIA,Coribe,6.45,2020,agriculture +Caatinga,BAHIA,Carinhanha,0.62,2020,agriculture +Caatinga,BAHIA,Carinhanha,4.91,2020,agriculture +Caatinga,BAHIA,Carinhanha,3.31,2020,agriculture +Caatinga,BAHIA,Coribe,7.07,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,3.01,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,7.56,2021,others +Caatinga,BAHIA,Novo Horizonte,1.14,2021,agriculture +Caatinga,BAHIA,Ibipeba,3.23,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,4.09,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,18.97,2021,others +Cerrado,BAHIA,São Desidério,5.14,2021,agriculture +Mata Atlântica,BAHIA,Santa Inês,7.83,2021,urban_expansion +Mata Atlântica,BAHIA,Santa Inês,3.99,2021,agriculture +Caatinga,BAHIA,Canudos,3.67,2021,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,1.58,2021,others +Caatinga,BAHIA,Wanderley,17.95,2021,others +Caatinga,BAHIA,Licínio de Almeida,14.92,2021,others +Caatinga,BAHIA,Serra do Ramalho,8.41,2021,others +Mata Atlântica,BAHIA,Cravolândia,2.16,2021,agriculture +Caatinga,BAHIA,Macaúbas,1.32,2021,others +Caatinga,BAHIA,Serrinha,2.5,2021,others +Caatinga,BAHIA,Araci,2.33,2021,others +Caatinga,BAHIA,Brejolândia,10.81,2021,agriculture +Caatinga,BAHIA,Brejolândia,8.85,2021,agriculture +Caatinga,BAHIA,Buritirama,0.93,2021,others +Caatinga,BAHIA,Crisópolis,35.81,2021,agriculture +Cerrado,BAHIA,Caetité,3.11,2021,agriculture +Caatinga,BAHIA,Anagé,1.44,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,5.85,2021,urban_expansion +Caatinga,BAHIA,Santana,4.88,2021,agriculture +Mata Atlântica,BAHIA,Una,4.46,2021,agriculture +Mata Atlântica,BAHIA,Varzedo,27.64,2021,agriculture +Mata Atlântica,BAHIA,Barro Preto,11.19,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,7.32,2021,others +Caatinga,BAHIA,Rio do Antônio,3.21,2021,others +Caatinga,BAHIA,Brumado,51.09,2021,others +Caatinga,BAHIA,Bom Jesus da Lapa,3.37,2021,agriculture +Caatinga,BAHIA,Wanderley,50.68,2021,others +Caatinga,BAHIA,Ribeira do Pombal,13.0,2021,others +Cerrado,BAHIA,Formosa do Rio Preto,355.01,2021,agriculture +Caatinga,BAHIA,Pedro Alexandre,1.57,2021,agriculture +Caatinga,BAHIA,Ribeira do Pombal,64.61,2021,agriculture +Caatinga,BAHIA,Jeremoabo,4.91,2021,others +Caatinga,BAHIA,Aracatu,1.21,2021,agriculture +Caatinga,BAHIA,Piatã,8.17,2021,agriculture +Caatinga,BAHIA,Casa Nova,4.36,2021,agriculture +Mata Atlântica,BAHIA,Almadina,8.03,2021,agriculture +Caatinga,BAHIA,Carinhanha,14.93,2021,others +Mata Atlântica,BAHIA,Encruzilhada,3.54,2021,agriculture +Caatinga,BAHIA,São Gabriel,8.62,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.38,2021,others +Cerrado,BAHIA,Coribe,50.67,2021,agriculture +Caatinga,BAHIA,Casa Nova,1.88,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,0.88,2021,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,1.28,2021,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,16.9,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.67,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.28,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.7,2021,agriculture +Mata Atlântica,BAHIA,Barra do Choça,5.46,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.91,2021,agriculture +Caatinga,BAHIA,Brejolândia,14.79,2021,agriculture +Cerrado,BAHIA,Baianópolis,16.38,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,44.39,2021,agriculture +Mata Atlântica,BAHIA,Santa Terezinha,2.17,2021,agriculture +Caatinga,BAHIA,Filadélfia,38.76,2021,others +Mata Atlântica,BAHIA,Caatiba,3.98,2021,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,255.09,2021,agriculture +Caatinga,BAHIA,Malhada,3.64,2021,agriculture +Mata Atlântica,BAHIA,Mascote,9.62,2021,agriculture +Caatinga,BAHIA,Mansidão,6.41,2021,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,16.65,2021,agriculture +Caatinga,BAHIA,Mansidão,5.68,2021,agriculture +Caatinga,BAHIA,Barra,0.47,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,4.78,2021,agriculture +Caatinga,BAHIA,Sento Sé,0.53,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.11,2021,agriculture +Caatinga,BAHIA,Cotegipe,3.3,2021,agriculture +Caatinga,BAHIA,Angical,20.52,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,8.59,2021,others +Caatinga,BAHIA,Carinhanha,6.93,2021,agriculture +Caatinga,BAHIA,América Dourada,23.64,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.52,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,5.97,2021,others +Caatinga,BAHIA,Matina,10.57,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,5.65,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,19.56,2021,others +Caatinga,BAHIA,Morpará,2.12,2021,others +Caatinga,BAHIA,Barra,0.93,2021,others +Caatinga,BAHIA,Campo Alegre de Lourdes,2.24,2021,others +Caatinga,BAHIA,Rio de Contas,12.58,2021,agriculture +Caatinga,BAHIA,Érico Cardoso,3.95,2021,agriculture +Caatinga,BAHIA,Caraíbas,0.6,2021,others +Caatinga,BAHIA,Casa Nova,9.09,2021,agriculture +Caatinga,BAHIA,Boa Nova,2.69,2021,others +Caatinga,BAHIA,Itapicuru,21.75,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,26.69,2021,others +Caatinga,BAHIA,Sento Sé,5.25,2021,others +Caatinga,BAHIA,Jeremoabo,93.66,2021,others +Caatinga,BAHIA,Buritirama,5.3,2021,others +Caatinga,BAHIA,Sátiro Dias,60.68,2021,others +Caatinga,BAHIA,Serra Dourada,122.0,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,2.2,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,0.9,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,10.91,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,197.14,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,256.47,2021,agriculture +Cerrado,BAHIA,São Desidério,356.04,2021,agriculture +Cerrado,BAHIA,Correntina,1213.07,2021,agriculture +Cerrado,BAHIA,Jaborandi,34.25,2021,agriculture +Caatinga,BAHIA,Carinhanha,16.57,2021,agriculture +Caatinga,BAHIA,Barra,158.14,2021,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,14.93,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,10.1,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,16.81,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.42,2021,agriculture +Cerrado,BAHIA,São Desidério,2.64,2021,agriculture +Caatinga,BAHIA,Santa Brígida,16.34,2021,agriculture +Caatinga,BAHIA,Lagoa Real,1.76,2021,others +Caatinga,BAHIA,Cotegipe,19.46,2021,agriculture +Mata Atlântica,BAHIA,Itagi,1.26,2022,urban_expansion +Mata Atlântica,BAHIA,Caravelas,1.4,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,28.56,2022,agriculture +Mata Atlântica,BAHIA,Itagimirim,7.22,2022,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.05,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.1,2022,urban_expansion +Mata Atlântica,BAHIA,Itambé,1.44,2022,agriculture +Cerrado,BAHIA,Correntina,349.34,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,4.21,2022,agriculture +Cerrado,BAHIA,São Desidério,327.5,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,17.21,2022,agriculture +Caatinga,BAHIA,Manoel Vitorino,32.64,2022,others +Caatinga,BAHIA,Feira da Mata,10.55,2022,others +Mata Atlântica,BAHIA,Encruzilhada,8.84,2022,agriculture +Mata Atlântica,BAHIA,Jandaíra,2.59,2022,agriculture +Caatinga,BAHIA,Inhambupe,132.18,2022,agriculture +Cerrado,BAHIA,São Desidério,138.17,2022,agriculture +Caatinga,BAHIA,Matina,16.57,2022,agriculture +Caatinga,BAHIA,Juazeiro,11.28,2022,others +Caatinga,BAHIA,Uauá,3.36,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.04,2022,agriculture +Cerrado,BAHIA,Tanque Novo,1.3,2022,agriculture +Caatinga,BAHIA,Paratinga,3.73,2022,others +Caatinga,BAHIA,Quixabeira,3.78,2022,agriculture +Caatinga,BAHIA,Igaporã,0.66,2022,others +Caatinga,BAHIA,Ribeira do Pombal,61.75,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.42,2022,others +Caatinga,BAHIA,Buritirama,1.63,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.56,2022,agriculture +Caatinga,BAHIA,Ipirá,10.37,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,5.14,2022,agriculture +Mata Atlântica,BAHIA,Jaguaripe,0.4,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,0.39,2022,agriculture +Mata Atlântica,BAHIA,Entre Rios,1.41,2022,agriculture +Caatinga,BAHIA,Mucugê,790.87,2022,agriculture +Caatinga,BAHIA,Barra,0.84,2022,others +Caatinga,BAHIA,Jeremoabo,9.95,2022,others +Caatinga,BAHIA,Ribeira do Amparo,65.8,2022,others +Caatinga,BAHIA,Jacobina,2.92,2022,others +Caatinga,BAHIA,Rio de Contas,0.9,2022,others +Caatinga,BAHIA,Dom Basílio,0.53,2022,agriculture +Caatinga,BAHIA,Tapiramutá,2.4,2022,agriculture +Caatinga,BAHIA,Conceição do Coité,4.44,2022,others +Caatinga,BAHIA,Jeremoabo,10.7,2022,agriculture +Cerrado,BAHIA,São Desidério,2.32,2022,agriculture +Caatinga,BAHIA,Juazeiro,2.1,2022,others +Caatinga,BAHIA,Umburanas,2.8,2022,others +Caatinga,BAHIA,Paratinga,4.57,2022,others +Caatinga,BAHIA,Monte Santo,1.65,2022,others +Caatinga,BAHIA,Tapiramutá,8.69,2022,others +Caatinga,BAHIA,Dom Basílio,0.5,2022,others +Caatinga,BAHIA,Sítio do Mato,11.84,2022,agriculture +Caatinga,BAHIA,Euclides da Cunha,6.71,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,49.63,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,19.9,2022,agriculture +Caatinga,BAHIA,Aracatu,3.42,2022,others +Caatinga,BAHIA,Macaúbas,1.13,2022,others +Caatinga,BAHIA,Coribe,3.2,2022,others +Caatinga,BAHIA,Campo Formoso,0.22,2022,others +Caatinga,BAHIA,Buritirama,0.74,2022,agriculture +Caatinga,BAHIA,Campo Formoso,1.17,2022,others +Caatinga,BAHIA,Uauá,25.6,2022,others +Caatinga,BAHIA,Buritirama,0.76,2022,others +Caatinga,BAHIA,Buritirama,0.59,2022,others +Caatinga,BAHIA,Uauá,9.39,2022,others +Caatinga,BAHIA,Ribeira do Pombal,21.59,2022,others +Caatinga,BAHIA,Condeúba,3.97,2022,others +Mata Atlântica,BAHIA,Castro Alves,13.26,2022,agriculture +Caatinga,BAHIA,Marcionílio Souza,1.7,2022,others +Caatinga,BAHIA,Itaberaba,1.56,2022,others +Caatinga,BAHIA,Condeúba,0.98,2022,others +Mata Atlântica,BAHIA,Camamu,1.19,2022,agriculture +Mata Atlântica,BAHIA,Entre Rios,0.8,2022,agriculture +Mata Atlântica,BAHIA,São Felipe,11.36,2022,agriculture +Mata Atlântica,BAHIA,Itiruçu,12.73,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,3.72,2022,agriculture +Caatinga,BAHIA,Euclides da Cunha,12.33,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,166.28,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,127.59,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,1.22,2019,agriculture +Mata Atlântica,BAHIA,Camamu,2.95,2019,agriculture +Cerrado,BAHIA,São Desidério,79.61,2019,agriculture +Cerrado,BAHIA,Serra Dourada,5.59,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,42.54,2019,agriculture +Caatinga,BAHIA,Cocos,9.08,2019,agriculture +Caatinga,BAHIA,Jaborandi,19.77,2019,agriculture +Cerrado,BAHIA,Baianópolis,26.43,2019,agriculture +Cerrado,BAHIA,Canápolis,8.12,2019,agriculture +Mata Atlântica,BAHIA,Itagibá,21.1,2019,agriculture +Mata Atlântica,BAHIA,Itororó,11.34,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,15.44,2019,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,35.84,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,40.71,2019,agriculture +Caatinga,BAHIA,Utinga,2.12,2019,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,13.22,2019,agriculture +Mata Atlântica,BAHIA,Camamu,4.45,2019,agriculture +Caatinga,BAHIA,Coribe,6.21,2019,agriculture +Caatinga,BAHIA,Tapiramutá,10.86,2019,agriculture +Caatinga,BAHIA,Iaçu,57.29,2019,agriculture +Caatinga,BAHIA,Utinga,2.57,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,19.11,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,205.86,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,386.35,2019,agriculture +Caatinga,BAHIA,Cotegipe,24.46,2019,agriculture +Caatinga,BAHIA,Wanderley,11.61,2019,agriculture +Caatinga,BAHIA,Santana,11.68,2019,agriculture +Cerrado,BAHIA,Cocos,16.55,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,11.47,2019,agriculture +Mata Atlântica,BAHIA,Itapebi,6.71,2019,agriculture +Mata Atlântica,BAHIA,Laje,0.77,2019,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,1.32,2019,agriculture +Mata Atlântica,BAHIA,Arataca,4.14,2019,agriculture +Mata Atlântica,BAHIA,Itabuna,5.56,2019,agriculture +Mata Atlântica,BAHIA,Camacan,3.46,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,23.07,2019,agriculture +Mata Atlântica,BAHIA,Conde,16.7,2019,agriculture +Mata Atlântica,BAHIA,Jaguaripe,2.79,2019,agriculture +Mata Atlântica,BAHIA,Maraú,1.91,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,17.75,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,323.17,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,165.15,2020,agriculture +Caatinga,BAHIA,Wanderley,26.38,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,95.7,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,259.4,2020,agriculture +Cerrado,BAHIA,Coribe,11.91,2020,agriculture +Mata Atlântica,BAHIA,Valença,2.32,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,11.2,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,7.19,2020,agriculture +Mata Atlântica,BAHIA,Ipiaú,1.73,2020,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,4.76,2020,agriculture +Caatinga,BAHIA,Maracás,7.45,2020,agriculture +Caatinga,BAHIA,Bonito,0.94,2020,agriculture +Caatinga,BAHIA,Lençóis,102.84,2020,agriculture +Caatinga,BAHIA,Angical,6.1,2020,agriculture +Mata Atlântica,BAHIA,Itaquara,3.32,2020,agriculture +Caatinga,BAHIA,Jeremoabo,66.99,2020,agriculture +Caatinga,BAHIA,Pindaí,5.4,2020,agriculture +Caatinga,BAHIA,Urandi,32.47,2020,agriculture +Caatinga,BAHIA,Guajeru,5.23,2020,agriculture +Caatinga,BAHIA,Jacaraci,11.26,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,226.04,2020,others +Caatinga,BAHIA,Jussiape,1.47,2020,agriculture +Cerrado,BAHIA,Coribe,110.59,2020,agriculture +Caatinga,BAHIA,Itaberaba,7.98,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,7.55,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,164.32,2020,agriculture +Caatinga,BAHIA,Malhada,2.99,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,3.92,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,2.06,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,10.31,2020,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,4.46,2020,agriculture +Mata Atlântica,BAHIA,Barro Preto,2.26,2020,agriculture +Mata Atlântica,BAHIA,Igrapiúna,1.36,2020,agriculture +Caatinga,BAHIA,Jacobina,31.32,2020,agriculture +Caatinga,BAHIA,Piripá,14.28,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,17.84,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,7.72,2020,agriculture +Cerrado,BAHIA,Jaborandi,5.51,2020,agriculture +Caatinga,BAHIA,Brejolândia,6.85,2020,agriculture +Caatinga,BAHIA,Paramirim,19.0,2020,agriculture +Caatinga,BAHIA,Feira da Mata,58.79,2020,agriculture +Caatinga,BAHIA,Valente,5.72,2020,agriculture +Caatinga,BAHIA,Correntina,8.96,2020,agriculture +Caatinga,BAHIA,Urandi,2.6,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,14.3,2020,agriculture +Caatinga,BAHIA,Ibiassucê,4.01,2020,agriculture +Caatinga,BAHIA,Anagé,7.6,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,59.05,2020,agriculture +Caatinga,BAHIA,Santana,3.7,2020,agriculture +Caatinga,BAHIA,Santana,3.01,2020,agriculture +Caatinga,BAHIA,Urandi,4.27,2020,agriculture +Caatinga,BAHIA,Cotegipe,11.33,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,16.35,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,4.3,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,3.24,2020,agriculture +Caatinga,BAHIA,Brejolândia,2.99,2020,agriculture +Cerrado,BAHIA,Barreiras,8.79,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.89,2020,agriculture +Cerrado,BAHIA,Mansidão,3.95,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,7.97,2020,agriculture +Caatinga,BAHIA,Miguel Calmon,6.41,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,54.34,2020,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,1.08,2020,agriculture +Caatinga,BAHIA,Caturama,5.47,2020,agriculture +Caatinga,BAHIA,Serra Dourada,51.87,2020,agriculture +Cerrado,BAHIA,Coribe,29.15,2020,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,1.02,2020,agriculture +Caatinga,BAHIA,Barra,2.37,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,4.72,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,6.0,2020,agriculture +Mata Atlântica,BAHIA,Cravolândia,3.92,2020,agriculture +Caatinga,BAHIA,Ituaçu,5.27,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.13,2020,agriculture +Caatinga,BAHIA,Aracatu,31.14,2020,agriculture +Caatinga,BAHIA,Ibitiara,11.07,2020,agriculture +Cerrado,BAHIA,Baianópolis,18.1,2020,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,1.71,2020,agriculture +Caatinga,BAHIA,Mucugê,268.5,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,3.05,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.19,2020,agriculture +Caatinga,BAHIA,Rio do Antônio,0.85,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.75,2020,agriculture +Caatinga,BAHIA,Aracatu,3.49,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,11.27,2020,agriculture +Caatinga,BAHIA,Paratinga,3.56,2020,agriculture +Caatinga,BAHIA,Wanderley,12.2,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.37,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,0.83,2020,agriculture +Caatinga,BAHIA,Mirante,11.78,2020,agriculture +Caatinga,BAHIA,Sátiro Dias,251.41,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,4.98,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,25.41,2021,agriculture +Mata Atlântica,BAHIA,Cairu,3.06,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,18.01,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,2.57,2021,agriculture +Mata Atlântica,BAHIA,Itajuípe,2.11,2021,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,4.72,2021,agriculture +Mata Atlântica,BAHIA,Ubaitaba,10.48,2021,agriculture +Caatinga,BAHIA,Paramirim,6.66,2021,agriculture +Mata Atlântica,BAHIA,Nazaré,1.12,2021,agriculture +Caatinga,BAHIA,Canudos,3.03,2021,agriculture +Caatinga,BAHIA,Itaeté,36.49,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,5.76,2021,agriculture +Caatinga,BAHIA,Tucano,4.13,2021,agriculture +Cerrado,BAHIA,São Desidério,4418.4,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,10.94,2021,agriculture +Caatinga,BAHIA,Cotegipe,11.24,2021,agriculture +Mata Atlântica,BAHIA,Ituberá,1.16,2021,agriculture +Mata Atlântica,BAHIA,Buerarema,1.29,2021,urban_expansion +Caatinga,BAHIA,Morro do Chapéu,6.5,2021,agriculture +Cerrado,BAHIA,Jaborandi,17.19,2021,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,1.05,2021,agriculture +Mata Atlântica,BAHIA,Camacan,25.27,2021,agriculture +Mata Atlântica,BAHIA,Coaraci,5.15,2021,agriculture +Mata Atlântica,BAHIA,Jequié,6.62,2021,agriculture +Caatinga,BAHIA,Jacobina,8.87,2021,agriculture +Caatinga,BAHIA,Cotegipe,11.67,2021,agriculture +Caatinga,BAHIA,Wanderley,1.23,2021,agriculture +Caatinga,BAHIA,Paramirim,25.49,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.78,2021,agriculture +Caatinga,BAHIA,Boninal,0.28,2021,agriculture +Caatinga,BAHIA,Boninal,1.19,2021,agriculture +Cerrado,BAHIA,São Desidério,2.39,2021,agriculture +Cerrado,BAHIA,Riacho de Santana,2.13,2021,agriculture +Cerrado,BAHIA,Correntina,4.31,2021,agriculture +Caatinga,BAHIA,Brumado,5.64,2021,agriculture +Caatinga,BAHIA,Brumado,1.72,2021,agriculture +Cerrado,BAHIA,Correntina,14.62,2021,agriculture +Cerrado,BAHIA,Cristópolis,5.18,2021,agriculture +Mata Atlântica,BAHIA,Castro Alves,29.36,2021,agriculture +Caatinga,BAHIA,Casa Nova,1.82,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.68,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,162.74,2021,agriculture +Cerrado,BAHIA,Angical,124.85,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.62,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,3.28,2021,agriculture +Cerrado,BAHIA,Pindaí,3.16,2021,agriculture +Caatinga,BAHIA,Seabra,0.68,2021,agriculture +Caatinga,BAHIA,Utinga,3.04,2021,agriculture +Caatinga,BAHIA,Casa Nova,24.08,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,5.91,2021,agriculture +Mata Atlântica,BAHIA,Alagoinhas,17.12,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,1.11,2021,agriculture +Caatinga,BAHIA,Barra,0.41,2021,agriculture +Caatinga,BAHIA,Barra,36.5,2021,agriculture +Caatinga,BAHIA,Jeremoabo,2.75,2021,others +Mata Atlântica,BAHIA,Canavieiras,18.37,2021,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,0.55,2021,agriculture +Caatinga,BAHIA,São Gabriel,1.34,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.69,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.61,2021,agriculture +Caatinga,BAHIA,Piatã,1.74,2021,agriculture +Caatinga,BAHIA,Milagres,7.86,2021,agriculture +Caatinga,BAHIA,Wanderley,60.04,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,9.31,2021,agriculture +Mata Atlântica,BAHIA,Itapebi,5.6,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,4.53,2021,agriculture +Mata Atlântica,BAHIA,Planalto,34.43,2021,agriculture +Mata Atlântica,BAHIA,Lajedo do Tabocal,7.83,2021,agriculture +Caatinga,BAHIA,Tapiramutá,7.77,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,19.72,2020,agriculture +Cerrado,BAHIA,São Desidério,3.64,2020,others +Caatinga,BAHIA,Cotegipe,2.14,2020,others +Caatinga,BAHIA,Carinhanha,1.72,2020,agriculture +Caatinga,BAHIA,Iuiu,6.86,2020,others +Caatinga,BAHIA,São Félix do Coribe,7.31,2020,agriculture +Caatinga,BAHIA,Feira da Mata,3.87,2020,others +Cerrado,BAHIA,São Desidério,3.33,2020,agriculture +Cerrado,BAHIA,Cocos,40.74,2020,agriculture +Caatinga,BAHIA,Urandi,1.75,2020,others +Caatinga,BAHIA,Angical,9.22,2020,others +Caatinga,BAHIA,Angical,2.21,2020,agriculture +Cerrado,BAHIA,Cotegipe,2.71,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.93,2020,others +Caatinga,BAHIA,Barra,1.99,2020,others +Caatinga,BAHIA,Cotegipe,5.3,2020,others +Caatinga,BAHIA,Buritirama,3.68,2020,agriculture +Cerrado,BAHIA,Cotegipe,4.55,2020,agriculture +Cerrado,BAHIA,Mansidão,2.01,2020,agriculture +Caatinga,BAHIA,Wanderley,5.28,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,6.65,2020,agriculture +Cerrado,BAHIA,Cotegipe,5.97,2020,agriculture +Caatinga,BAHIA,Cotegipe,3.25,2020,agriculture +Caatinga,BAHIA,Brejolândia,1.26,2020,others +Cerrado,BAHIA,Baianópolis,5.88,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,2.58,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,5.0,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,11.72,2020,agriculture +Caatinga,BAHIA,Serra Dourada,7.14,2020,agriculture +Cerrado,BAHIA,Baianópolis,1.57,2020,agriculture +Cerrado,BAHIA,Baianópolis,1.54,2020,agriculture +Caatinga,BAHIA,Correntina,2.65,2020,agriculture +Cerrado,BAHIA,Baianópolis,20.47,2020,agriculture +Cerrado,BAHIA,São Desidério,1.69,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,46.2,2020,others +Caatinga,BAHIA,Santa Maria da Vitória,4.79,2020,others +Caatinga,BAHIA,Buritirama,0.75,2020,others +Caatinga,BAHIA,Buritirama,0.69,2020,others +Caatinga,BAHIA,Buritirama,0.38,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,2.89,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,4.7,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.0,2020,agriculture +Cerrado,BAHIA,Barreiras,2.64,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.54,2020,agriculture +Cerrado,BAHIA,Barreiras,3.15,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,10.57,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.47,2020,agriculture +Cerrado,BAHIA,Cocos,9.27,2020,agriculture +Cerrado,BAHIA,Jaborandi,6.86,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,24.09,2020,others +Cerrado,BAHIA,Cocos,3.95,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.71,2020,agriculture +Caatinga,BAHIA,Carinhanha,2.73,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.45,2020,agriculture +Caatinga,BAHIA,Carinhanha,7.81,2020,agriculture +Caatinga,BAHIA,Buritirama,1.86,2020,agriculture +Caatinga,BAHIA,Carinhanha,6.2,2020,agriculture +Caatinga,BAHIA,Milagres,10.76,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,4.66,2021,agriculture +Caatinga,BAHIA,Jeremoabo,3.8,2021,agriculture +Caatinga,BAHIA,Boninal,0.83,2021,agriculture +Caatinga,BAHIA,Santaluz,1.31,2021,others +Caatinga,BAHIA,Caturama,2.1,2021,others +Caatinga,BAHIA,Correntina,1.83,2021,others +Caatinga,BAHIA,Licínio de Almeida,3.97,2021,others +Cerrado,BAHIA,Riachão das Neves,9.99,2021,agriculture +Caatinga,BAHIA,Crisópolis,7.12,2021,others +Caatinga,BAHIA,Mansidão,1.37,2021,agriculture +Caatinga,BAHIA,Mansidão,2.46,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,1.78,2021,agriculture +Cerrado,BAHIA,São Desidério,12.55,2021,agriculture +Mata Atlântica,BAHIA,São José da Vitória,82.35,2021,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,10.73,2021,agriculture +Caatinga,BAHIA,Miguel Calmon,2.45,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,13.2,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,10.97,2021,others +Caatinga,BAHIA,Wanderley,61.85,2021,others +Caatinga,BAHIA,Serra do Ramalho,3.62,2021,others +Cerrado,BAHIA,Riacho de Santana,1.23,2021,agriculture +Caatinga,BAHIA,Macaúbas,17.94,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.31,2021,agriculture +Mata Atlântica,BAHIA,Itaju do Colônia,5.9,2021,agriculture +Cerrado,BAHIA,Barreiras,27.21,2021,agriculture +Cerrado,BAHIA,Jaborandi,28.54,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,140.33,2021,agriculture +Caatinga,BAHIA,Maracás,12.92,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,7.67,2021,others +Caatinga,BAHIA,Brumado,28.26,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,5.7,2021,others +Caatinga,BAHIA,Igaporã,4.54,2021,others +Caatinga,BAHIA,Remanso,0.58,2021,agriculture +Cerrado,BAHIA,Mansidão,10.75,2021,agriculture +Cerrado,BAHIA,Coribe,4.51,2021,agriculture +Mata Atlântica,BAHIA,Camacan,7.51,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.28,2021,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,6.12,2021,agriculture +Caatinga,BAHIA,Utinga,3.63,2021,agriculture +Mata Atlântica,BAHIA,Camamu,0.99,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,3.41,2021,agriculture +Caatinga,BAHIA,Buritirama,0.85,2021,agriculture +Caatinga,BAHIA,Mansidão,8.69,2021,agriculture +Cerrado,BAHIA,Riacho de Santana,3.46,2021,agriculture +Caatinga,BAHIA,Poções,2.57,2021,others +Caatinga,BAHIA,Bom Jesus da Serra,1.58,2021,agriculture +Caatinga,BAHIA,Mansidão,3.41,2021,agriculture +Caatinga,BAHIA,Barra,2.32,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,195.28,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.67,2021,agriculture +Caatinga,BAHIA,Cotegipe,9.69,2021,agriculture +Caatinga,BAHIA,Mansidão,4.21,2021,agriculture +Caatinga,BAHIA,Canudos,8.16,2021,agriculture +Caatinga,BAHIA,Tanque Novo,14.8,2021,agriculture +Caatinga,BAHIA,Sento Sé,4.59,2021,agriculture +Caatinga,BAHIA,Carinhanha,6.68,2021,others +Caatinga,BAHIA,Brumado,0.99,2021,others +Caatinga,BAHIA,Ruy Barbosa,2.84,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,14.75,2021,others +Caatinga,BAHIA,Serra do Ramalho,17.12,2021,others +Caatinga,BAHIA,Caturama,2.87,2021,agriculture +Cerrado,BAHIA,Baianópolis,0.71,2021,agriculture +Caatinga,BAHIA,Iuiu,2.17,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,1.02,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,5.21,2021,others +Caatinga,BAHIA,Caculé,1.75,2021,others +Caatinga,BAHIA,Umburanas,4.58,2021,agriculture +Caatinga,BAHIA,Anagé,0.32,2021,others +Caatinga,BAHIA,Presidente Jânio Quadros,7.47,2021,others +Caatinga,BAHIA,Olindina,7.07,2021,others +Caatinga,BAHIA,Cansanção,11.04,2021,others +Caatinga,BAHIA,Araci,9.91,2021,others +Caatinga,BAHIA,Macaúbas,6.31,2021,agriculture +Cerrado,BAHIA,Jaborandi,29.34,2021,agriculture +Cerrado,BAHIA,Jaborandi,22.16,2021,agriculture +Caatinga,BAHIA,Anagé,6.04,2021,others +Caatinga,BAHIA,Cotegipe,47.47,2021,agriculture +Caatinga,BAHIA,Cotegipe,10.78,2021,agriculture +Cerrado,BAHIA,Cristópolis,20.77,2021,agriculture +Cerrado,BAHIA,Cotegipe,0.79,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,6.68,2021,others +Caatinga,BAHIA,Cotegipe,4.21,2021,agriculture +Caatinga,BAHIA,Angical,76.72,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,2.98,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,14.41,2022,urban_expansion +Mata Atlântica,BAHIA,Cravolândia,11.38,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,31.58,2022,urban_expansion +Cerrado,BAHIA,Formosa do Rio Preto,82.97,2022,agriculture +Cerrado,BAHIA,São Desidério,3408.17,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,701.67,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,9.77,2022,agriculture +Caatinga,BAHIA,Remanso,2.98,2022,agriculture +Caatinga,BAHIA,Ibipitanga,28.07,2022,agriculture +Caatinga,BAHIA,Paratinga,0.55,2022,agriculture +Cerrado,BAHIA,São Desidério,112.83,2022,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,33.8,2022,agriculture +Mata Atlântica,BAHIA,Itabela,1.61,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,0.75,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,14.95,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.18,2022,others +Mata Atlântica,BAHIA,Coração de Maria,20.53,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.96,2022,agriculture +Cerrado,BAHIA,Caetité,17.51,2022,agriculture +Caatinga,BAHIA,Iaçu,5.96,2022,agriculture +Caatinga,BAHIA,Pé de Serra,6.65,2022,agriculture +Cerrado,BAHIA,Tanque Novo,2.42,2022,agriculture +Caatinga,BAHIA,Matina,1.04,2022,others +Caatinga,BAHIA,Matina,3.42,2022,others +Caatinga,BAHIA,Uauá,4.32,2022,others +Caatinga,BAHIA,Santa Brígida,4.71,2022,agriculture +Caatinga,BAHIA,Queimadas,9.8,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.78,2022,others +Cerrado,BAHIA,Macaúbas,0.89,2022,agriculture +Caatinga,BAHIA,Paratinga,3.92,2022,others +Caatinga,BAHIA,Boquira,6.61,2022,others +Caatinga,BAHIA,Paramirim,2.35,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,6.72,2022,others +Caatinga,BAHIA,Paulo Afonso,0.62,2022,others +Caatinga,BAHIA,Paratinga,1.47,2022,others +Caatinga,BAHIA,São José do Jacuípe,2.6,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.49,2022,agriculture +Caatinga,BAHIA,Sento Sé,3.66,2022,others +Caatinga,BAHIA,Itapicuru,26.61,2022,others +Caatinga,BAHIA,Pilão Arcado,7.32,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,4.85,2022,agriculture +Cerrado,BAHIA,Igaporã,0.41,2022,agriculture +Caatinga,BAHIA,Macaúbas,1.26,2022,agriculture +Caatinga,BAHIA,Piatã,0.9,2022,agriculture +Cerrado,BAHIA,São Desidério,169.71,2022,agriculture +Mata Atlântica,BAHIA,Alagoinhas,9.99,2022,agriculture +Mata Atlântica,BAHIA,Iguaí,13.22,2022,agriculture +Mata Atlântica,BAHIA,Maraú,1.43,2022,agriculture +Mata Atlântica,BAHIA,Valença,1.67,2022,agriculture +Mata Atlântica,BAHIA,Belmonte,0.16,2022,agriculture +Mata Atlântica,BAHIA,Itarantim,0.68,2022,agriculture +Mata Atlântica,BAHIA,Boa Nova,0.74,2022,agriculture +Mata Atlântica,BAHIA,Esplanada,0.6,2022,agriculture +Mata Atlântica,BAHIA,Entre Rios,11.17,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,0.39,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,1.22,2022,agriculture +Mata Atlântica,BAHIA,Teodoro Sampaio,2.55,2022,agriculture +Cerrado,BAHIA,Correntina,2.16,2022,agriculture +Cerrado,BAHIA,Angical,160.59,2022,agriculture +Caatinga,BAHIA,Juazeiro,8.73,2022,others +Cerrado,BAHIA,São Desidério,1.36,2022,agriculture +Caatinga,BAHIA,Coribe,5.36,2022,others +Caatinga,BAHIA,Coribe,4.48,2022,others +Caatinga,BAHIA,Cícero Dantas,1.57,2022,others +Caatinga,BAHIA,Brumado,0.33,2022,agriculture +Caatinga,BAHIA,Jacobina,1.14,2022,others +Caatinga,BAHIA,Carinhanha,1.83,2022,others +Cerrado,BAHIA,Cotegipe,4.39,2022,agriculture +Caatinga,BAHIA,Piatã,2.11,2022,others +Caatinga,BAHIA,Condeúba,24.21,2022,others +Cerrado,BAHIA,Jaborandi,8.93,2022,agriculture +Caatinga,BAHIA,Novo Triunfo,2.91,2022,others +Caatinga,BAHIA,Jaborandi,6.2,2022,others +Caatinga,BAHIA,Santa Maria da Vitória,4.8,2022,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,6.54,2022,agriculture +Caatinga,BAHIA,Pindobaçu,5.66,2022,others +Caatinga,BAHIA,Oliveira dos Brejinhos,14.54,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,8.4,2022,agriculture +Caatinga,BAHIA,Maetinga,1.07,2022,others +Cerrado,BAHIA,Correntina,2.11,2022,agriculture +Caatinga,BAHIA,Sento Sé,0.94,2022,others +Caatinga,BAHIA,Buritirama,0.34,2022,others +Caatinga,BAHIA,Riacho de Santana,2.83,2022,others +Caatinga,BAHIA,Buritirama,0.22,2022,others +Caatinga,BAHIA,Ourolândia,1.38,2022,others +Caatinga,BAHIA,Iaçu,1.2,2022,others +Caatinga,BAHIA,Barra,19.97,2022,others +Cerrado,BAHIA,Tabocas do Brejo Velho,1.67,2022,agriculture +Mata Atlântica,BAHIA,Valença,1.46,2022,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,4.95,2022,agriculture +Mata Atlântica,BAHIA,Entre Rios,2.99,2022,agriculture +Caatinga,BAHIA,Itapicuru,2.34,2022,others +Caatinga,BAHIA,Tucano,4.02,2022,others +Cerrado,BAHIA,São Desidério,46.97,2022,agriculture +Cerrado,BAHIA,Coribe,98.75,2022,agriculture +Cerrado,BAHIA,Cristópolis,10.45,2022,agriculture +Caatinga,BAHIA,Tapiramutá,4.6,2019,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,5.0,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,2.28,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.08,2019,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,8.17,2019,agriculture +Caatinga,BAHIA,Jaborandi,4.82,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,168.38,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,14.88,2019,agriculture +Mata Atlântica,BAHIA,Itaquara,9.85,2019,agriculture +Caatinga,BAHIA,Angical,10.47,2019,agriculture +Caatinga,BAHIA,Sítio do Mato,19.8,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,37.7,2019,agriculture +Caatinga,BAHIA,Cocos,17.26,2019,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,18.84,2019,agriculture +Caatinga,BAHIA,Jeremoabo,3.27,2019,agriculture +Caatinga,BAHIA,Antônio Gonçalves,1.96,2019,agriculture +Caatinga,BAHIA,Jeremoabo,46.29,2019,agriculture +Caatinga,BAHIA,Bonito,6.59,2019,agriculture +Caatinga,BAHIA,Milagres,43.94,2019,agriculture +Caatinga,BAHIA,Marcionílio Souza,8.31,2019,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,8.25,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,451.05,2019,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,12.26,2019,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,23.17,2019,agriculture +Caatinga,BAHIA,Muquém do São Francisco,1.6,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.03,2019,agriculture +Caatinga,BAHIA,Wanderley,90.28,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,139.58,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,105.04,2019,agriculture +Cerrado,BAHIA,Barreiras,12.03,2019,agriculture +Mata Atlântica,BAHIA,Guaratinga,7.36,2019,agriculture +Mata Atlântica,BAHIA,Itambé,8.2,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,21.32,2019,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,2.39,2019,agriculture +Mata Atlântica,BAHIA,Cândido Sales,3.35,2019,agriculture +Mata Atlântica,BAHIA,Itapebi,16.48,2019,agriculture +Cerrado,BAHIA,Correntina,2.2,2020,agriculture +Cerrado,BAHIA,Barreiras,223.89,2020,agriculture +Cerrado,BAHIA,Barreiras,384.05,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,117.6,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,1.95,2020,agriculture +Cerrado,BAHIA,Correntina,1017.31,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1194.74,2020,agriculture +Caatinga,BAHIA,Iuiu,39.23,2020,agriculture +Cerrado,BAHIA,Jaborandi,10.36,2020,agriculture +Mata Atlântica,BAHIA,Camaçari,2.13,2020,urban_expansion +Mata Atlântica,BAHIA,Ituberá,1.25,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,2.71,2020,agriculture +Mata Atlântica,BAHIA,Coaraci,4.7,2020,agriculture +Mata Atlântica,BAHIA,Nova Ibiá,5.72,2020,agriculture +Mata Atlântica,BAHIA,Ibirataia,7.96,2020,agriculture +Mata Atlântica,BAHIA,Itaquara,16.71,2020,agriculture +Mata Atlântica,BAHIA,Boa Nova,3.25,2020,agriculture +Mata Atlântica,BAHIA,Lajedo do Tabocal,8.39,2020,agriculture +Caatinga,BAHIA,Mundo Novo,2.06,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,69.86,2020,agriculture +Caatinga,BAHIA,Iramaia,10.73,2020,agriculture +Caatinga,BAHIA,Lençóis,3.1,2020,agriculture +Caatinga,BAHIA,Ibicoara,4.19,2020,agriculture +Caatinga,BAHIA,Mucugê,143.53,2020,agriculture +Caatinga,BAHIA,Condeúba,61.95,2020,agriculture +Cerrado,BAHIA,Brejolândia,5.71,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,0.52,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,73.41,2020,agriculture +Caatinga,BAHIA,Banzaê,5.98,2020,agriculture +Caatinga,BAHIA,Aracatu,6.18,2020,agriculture +Caatinga,BAHIA,Itapicuru,5.63,2020,agriculture +Cerrado,BAHIA,São Desidério,11.18,2020,agriculture +Caatinga,BAHIA,Guajeru,2.52,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,24.06,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,0.72,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,13.24,2020,agriculture +Mata Atlântica,BAHIA,Itabela,5.04,2020,agriculture +Mata Atlântica,BAHIA,Valença,5.14,2020,agriculture +Mata Atlântica,BAHIA,Araçás,2.15,2020,agriculture +Mata Atlântica,BAHIA,Jiquiriçá,25.77,2020,agriculture +Cerrado,BAHIA,Barreiras,22.19,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,24.7,2020,agriculture +Cerrado,BAHIA,São Desidério,32.52,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,3.99,2020,agriculture +Caatinga,BAHIA,Paramirim,4.02,2020,agriculture +Caatinga,BAHIA,Wanderley,55.55,2020,agriculture +Caatinga,BAHIA,Wanderley,40.7,2020,agriculture +Caatinga,BAHIA,Correntina,1.09,2020,agriculture +Caatinga,BAHIA,Bonito,10.19,2020,agriculture +Caatinga,BAHIA,Coribe,2.37,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,7.34,2020,agriculture +Cerrado,BAHIA,Muquém do São Francisco,27.28,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,12.09,2020,agriculture +Caatinga,BAHIA,Mansidão,5.93,2020,agriculture +Cerrado,BAHIA,Coribe,13.09,2020,agriculture +Cerrado,BAHIA,Barreiras,11.71,2020,agriculture +Caatinga,BAHIA,Jacaraci,4.35,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,3.02,2020,agriculture +Caatinga,BAHIA,Jacaraci,8.52,2020,agriculture +Caatinga,BAHIA,Ibipitanga,2.21,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,5.49,2020,agriculture +Caatinga,BAHIA,Brumado,10.81,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,7.97,2020,agriculture +Caatinga,BAHIA,Mansidão,2.24,2020,agriculture +Cerrado,BAHIA,Correntina,23.9,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,4.01,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,38.26,2020,agriculture +Caatinga,BAHIA,Ibiassucê,2.42,2020,agriculture +Cerrado,BAHIA,Cristópolis,34.57,2020,agriculture +Cerrado,BAHIA,São Desidério,6.75,2020,agriculture +Cerrado,BAHIA,Baianópolis,29.21,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,4.61,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,16.81,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,0.97,2020,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,2.1,2020,agriculture +Caatinga,BAHIA,Malhada,11.26,2020,agriculture +Caatinga,BAHIA,Barra,4.12,2020,agriculture +Caatinga,BAHIA,Botuporã,7.48,2020,agriculture +Caatinga,BAHIA,Brumado,14.05,2020,agriculture +Caatinga,BAHIA,Jussiape,88.02,2020,agriculture +Mata Atlântica,BAHIA,Taperoá,3.09,2020,agriculture +Mata Atlântica,BAHIA,Uruçuca,2.37,2020,agriculture +Mata Atlântica,BAHIA,Ubaíra,11.61,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,2.38,2020,agriculture +Cerrado,BAHIA,Coribe,16.23,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,25.66,2020,agriculture +Caatinga,BAHIA,Cotegipe,10.73,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,17.98,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.89,2020,agriculture +Mata Atlântica,BAHIA,Valença,2.03,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.59,2020,agriculture +Caatinga,BAHIA,Tanhaçu,32.49,2020,agriculture +Caatinga,BAHIA,Milagres,18.57,2020,agriculture +Caatinga,BAHIA,Wanderley,1.17,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.61,2020,agriculture +Cerrado,BAHIA,Caetité,4.61,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.54,2020,agriculture +Caatinga,BAHIA,São Gonçalo dos Campos,5.28,2020,agriculture +Caatinga,BAHIA,Contendas do Sincorá,21.07,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,14.34,2020,agriculture +Caatinga,BAHIA,Jeremoabo,14.73,2020,agriculture +Mata Atlântica,BAHIA,Camamu,2.67,2020,agriculture +Mata Atlântica,BAHIA,Maraú,1.28,2020,agriculture +Caatinga,BAHIA,Mulungu do Morro,2.97,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,0.67,2021,agriculture +Mata Atlântica,BAHIA,Teolândia,2.82,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,4.55,2021,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,4.16,2021,agriculture +Mata Atlântica,BAHIA,Gongogi,23.71,2021,agriculture +Mata Atlântica,BAHIA,Dário Meira,5.45,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,11.75,2021,agriculture +Caatinga,BAHIA,Caraíbas,1.22,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,5.56,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,46.17,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,15.63,2021,agriculture +Mata Atlântica,BAHIA,Camaçari,9.21,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,5.64,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,5.67,2021,agriculture +Mata Atlântica,BAHIA,Jiquiriçá,5.81,2021,agriculture +Mata Atlântica,BAHIA,Apuarema,8.69,2021,others +Mata Atlântica,BAHIA,Itiruçu,4.59,2021,agriculture +Mata Atlântica,BAHIA,Belo Campo,6.13,2021,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,32.48,2021,agriculture +Caatinga,BAHIA,Serra Dourada,46.65,2021,agriculture +Mata Atlântica,BAHIA,Salvador,1.47,2021,urban_expansion +Mata Atlântica,BAHIA,Buerarema,6.92,2021,urban_expansion +Mata Atlântica,BAHIA,Valença,4.41,2021,agriculture +Mata Atlântica,BAHIA,Uruçuca,2.54,2021,agriculture +Mata Atlântica,BAHIA,Gandu,5.27,2021,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,3.19,2021,agriculture +Mata Atlântica,BAHIA,Nova Itarana,5.43,2021,agriculture +Caatinga,BAHIA,Jequié,28.56,2021,agriculture +Caatinga,BAHIA,Boquira,1.36,2021,agriculture +Cerrado,BAHIA,São Desidério,4.31,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,9.31,2021,agriculture +Caatinga,BAHIA,Angical,4.96,2021,agriculture +Caatinga,BAHIA,Rio do Pires,2.01,2021,agriculture +Caatinga,BAHIA,Lagoa Real,1.91,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,0.99,2021,agriculture +Cerrado,BAHIA,Cristópolis,3.13,2021,agriculture +Caatinga,BAHIA,Jeremoabo,19.1,2021,agriculture +Caatinga,BAHIA,Jeremoabo,70.2,2021,agriculture +Caatinga,BAHIA,Dom Basílio,5.6,2021,agriculture +Caatinga,BAHIA,Remanso,2.17,2021,agriculture +Cerrado,BAHIA,São Desidério,353.1,2021,agriculture +Caatinga,BAHIA,Seabra,1.56,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.04,2021,agriculture +Caatinga,BAHIA,Mortugaba,21.15,2021,agriculture +Caatinga,BAHIA,Brumado,17.01,2021,agriculture +Caatinga,BAHIA,Aracatu,12.13,2021,agriculture +Caatinga,BAHIA,Santa Terezinha,1.26,2021,agriculture +Caatinga,BAHIA,Wanderley,8.84,2021,agriculture +Mata Atlântica,BAHIA,Valença,1.98,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,6.89,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,2.9,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,218.09,2020,agriculture +Caatinga,BAHIA,Cotegipe,1.82,2020,agriculture +Caatinga,BAHIA,Angical,7.74,2020,others +Caatinga,BAHIA,Cotegipe,10.37,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,2.26,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,6.53,2020,agriculture +Cerrado,BAHIA,Mansidão,4.8,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.42,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.67,2020,others +Caatinga,BAHIA,Cotegipe,0.64,2020,others +Caatinga,BAHIA,Cotegipe,6.52,2020,agriculture +Caatinga,BAHIA,Cotegipe,5.44,2020,others +Caatinga,BAHIA,Malhada,2.49,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,6.13,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,1.68,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,2.07,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.05,2020,agriculture +Cerrado,BAHIA,Baianópolis,1.3,2020,agriculture +Cerrado,BAHIA,Correntina,3.61,2020,agriculture +Cerrado,BAHIA,Correntina,1.29,2020,agriculture +Cerrado,BAHIA,São Desidério,5.75,2020,agriculture +Cerrado,BAHIA,Catolândia,4.68,2020,agriculture +Caatinga,BAHIA,Canápolis,4.63,2020,agriculture +Cerrado,BAHIA,Santana,11.05,2020,agriculture +Caatinga,BAHIA,Santana,19.54,2020,agriculture +Caatinga,BAHIA,Carinhanha,12.0,2020,agriculture +Caatinga,BAHIA,Serra Dourada,5.77,2020,agriculture +Cerrado,BAHIA,Baianópolis,7.5,2020,agriculture +Cerrado,BAHIA,Baianópolis,2.0,2020,agriculture +Cerrado,BAHIA,Jaborandi,3.07,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,0.8,2020,agriculture +Caatinga,BAHIA,Jaborandi,1.63,2020,agriculture +Caatinga,BAHIA,Brejolândia,5.99,2020,agriculture +Caatinga,BAHIA,Buritirama,1.19,2020,others +Caatinga,BAHIA,Buritirama,3.55,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.81,2020,agriculture +Caatinga,BAHIA,Buritirama,1.63,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,13.9,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1.45,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,20.19,2020,agriculture +Cerrado,BAHIA,Barreiras,15.62,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,2.8,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,3.17,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.25,2020,agriculture +Caatinga,BAHIA,Cocos,8.56,2020,others +Cerrado,BAHIA,Cocos,7.46,2020,agriculture +Cerrado,BAHIA,Coribe,4.23,2020,agriculture +Caatinga,BAHIA,Carinhanha,6.95,2020,agriculture +Caatinga,BAHIA,Carinhanha,2.22,2020,others +Caatinga,BAHIA,Carinhanha,4.15,2020,agriculture +Caatinga,BAHIA,Feira da Mata,3.8,2020,agriculture +Caatinga,BAHIA,Serrinha,2.4,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.52,2021,others +Caatinga,BAHIA,Riacho de Santana,2.02,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.95,2021,agriculture +Caatinga,BAHIA,Ibitiara,4.25,2021,others +Caatinga,BAHIA,Sento Sé,1.44,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,386.84,2021,agriculture +Caatinga,BAHIA,Ibotirama,0.43,2021,agriculture +Caatinga,BAHIA,Serrinha,0.74,2021,agriculture +Caatinga,BAHIA,Guajeru,0.54,2021,agriculture +Mata Atlântica,BAHIA,Esplanada,2.28,2021,agriculture +Caatinga,BAHIA,Seabra,10.2,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,32.48,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.45,2021,agriculture +Caatinga,BAHIA,Cocos,9.16,2021,agriculture +Cerrado,BAHIA,São Desidério,103.02,2021,agriculture +Cerrado,BAHIA,Jaborandi,30.17,2021,agriculture +Cerrado,BAHIA,Barreiras,110.39,2021,agriculture +Caatinga,BAHIA,Wanderley,30.78,2021,agriculture +Caatinga,BAHIA,Macaúbas,0.87,2021,agriculture +Caatinga,BAHIA,Sento Sé,1.23,2021,agriculture +Caatinga,BAHIA,Xique-Xique,0.5,2021,agriculture +Cerrado,BAHIA,Barreiras,54.04,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,6.0,2021,others +Caatinga,BAHIA,Cícero Dantas,2.79,2021,others +Caatinga,BAHIA,Ribeira do Pombal,1.55,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,0.84,2021,others +Caatinga,BAHIA,Antas,2.91,2021,others +Cerrado,BAHIA,Mortugaba,28.91,2021,agriculture +Caatinga,BAHIA,Ituaçu,2.18,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,1.55,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,3.96,2021,agriculture +Mata Atlântica,BAHIA,Irajuba,12.13,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,13.47,2021,agriculture +Caatinga,BAHIA,Condeúba,61.27,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,165.31,2021,agriculture +Caatinga,BAHIA,Jeremoabo,73.79,2021,others +Cerrado,BAHIA,Brejolândia,23.32,2021,agriculture +Caatinga,BAHIA,Carinhanha,4.39,2021,agriculture +Caatinga,BAHIA,Barra,15.87,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,28.78,2021,others +Caatinga,BAHIA,Casa Nova,20.61,2021,agriculture +Mata Atlântica,BAHIA,Itapebi,7.76,2021,agriculture +Mata Atlântica,BAHIA,Itapebi,1.3,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,27.44,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,6.14,2021,agriculture +Mata Atlântica,BAHIA,Itambé,25.31,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,3.25,2021,agriculture +Caatinga,BAHIA,Utinga,1.78,2021,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,5.58,2021,agriculture +Mata Atlântica,BAHIA,Itambé,3.36,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,0.63,2021,agriculture +Mata Atlântica,BAHIA,Jandaíra,2.78,2021,agriculture +Caatinga,BAHIA,Condeúba,1.61,2021,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,14.25,2021,agriculture +Caatinga,BAHIA,Buritirama,0.7,2021,agriculture +Caatinga,BAHIA,Buritirama,1.77,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,8.23,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.76,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.61,2021,agriculture +Caatinga,BAHIA,Juazeiro,29.82,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,11.24,2021,agriculture +Caatinga,BAHIA,Boquira,7.4,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.65,2021,agriculture +Caatinga,BAHIA,Angical,7.22,2021,others +Caatinga,BAHIA,Juazeiro,11.55,2021,others +Caatinga,BAHIA,Carinhanha,6.58,2021,others +Cerrado,BAHIA,Coribe,30.39,2021,agriculture +Caatinga,BAHIA,Xique-Xique,2.89,2021,agriculture +Caatinga,BAHIA,Pedro Alexandre,13.9,2021,agriculture +Caatinga,BAHIA,Cocos,11.58,2021,agriculture +Caatinga,BAHIA,Cocos,12.54,2021,others +Caatinga,BAHIA,Sítio do Mato,3.23,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,1.95,2021,agriculture +Caatinga,BAHIA,Iuiu,28.04,2021,others +Caatinga,BAHIA,Urandi,1.44,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,3.29,2021,others +Caatinga,BAHIA,Oliveira dos Brejinhos,0.84,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,3.49,2021,agriculture +Caatinga,BAHIA,Casa Nova,32.2,2021,agriculture +Caatinga,BAHIA,Itaberaba,18.35,2021,others +Caatinga,BAHIA,Jeremoabo,87.09,2021,others +Caatinga,BAHIA,Jeremoabo,248.99,2021,others +Caatinga,BAHIA,Guanambi,4.68,2021,others +Caatinga,BAHIA,Brumado,1.21,2021,others +Cerrado,BAHIA,São Desidério,64.79,2021,agriculture +Cerrado,BAHIA,Jaborandi,3887.74,2021,agriculture +Mata Atlântica,BAHIA,Alagoinhas,6.05,2021,agriculture +Cerrado,BAHIA,Caetité,0.61,2021,agriculture +Cerrado,BAHIA,Lagoa Real,0.28,2021,agriculture +Caatinga,BAHIA,Matina,2.43,2021,agriculture +Caatinga,BAHIA,Anagé,12.16,2021,others +Cerrado,BAHIA,Tabocas do Brejo Velho,3.98,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,10.37,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,6.65,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,17.29,2022,agriculture +Mata Atlântica,BAHIA,Camacan,1.26,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,4.95,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,250.21,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,2.05,2022,agriculture +Caatinga,BAHIA,Feira da Mata,3.45,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,4.88,2022,agriculture +Caatinga,BAHIA,Anagé,0.62,2022,others +Cerrado,BAHIA,Luís Eduardo Magalhães,126.25,2022,agriculture +Cerrado,BAHIA,Cristópolis,64.07,2022,agriculture +Cerrado,BAHIA,Correntina,497.62,2022,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,7.56,2022,agriculture +Cerrado,BAHIA,São Desidério,46.54,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,11.25,2022,agriculture +Mata Atlântica,BAHIA,Conde,2.24,2022,agriculture +Mata Atlântica,BAHIA,Jaguaquara,94.9,2022,agriculture +Mata Atlântica,BAHIA,Mucuri,0.53,2022,agriculture +Cerrado,BAHIA,Correntina,1046.07,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,141.71,2022,agriculture +Cerrado,BAHIA,Jaborandi,149.32,2022,agriculture +Caatinga,BAHIA,Piatã,2.2,2022,others +Caatinga,BAHIA,Cícero Dantas,74.26,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,2.06,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,5.21,2022,others +Caatinga,BAHIA,Jeremoabo,14.96,2022,others +Caatinga,BAHIA,Matina,3.29,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,2.23,2022,others +Caatinga,BAHIA,Matina,1.0,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.78,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.07,2022,others +Caatinga,BAHIA,Ibipitanga,4.32,2022,others +Caatinga,BAHIA,Campo Formoso,2.92,2022,others +Caatinga,BAHIA,Boquira,12.04,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.2,2022,agriculture +Caatinga,BAHIA,Sátiro Dias,27.87,2022,others +Caatinga,BAHIA,Matina,1.34,2022,agriculture +Caatinga,BAHIA,Campo Formoso,0.78,2022,others +Caatinga,BAHIA,Boquira,4.25,2022,others +Cerrado,BAHIA,Tanque Novo,7.17,2022,agriculture +Cerrado,BAHIA,Jaborandi,956.95,2022,agriculture +Cerrado,BAHIA,Barreiras,102.55,2022,agriculture +Mata Atlântica,BAHIA,Boa Nova,2.6,2022,agriculture +Mata Atlântica,BAHIA,Taperoá,0.5,2022,agriculture +Mata Atlântica,BAHIA,Arataca,1.38,2022,agriculture +Caatinga,BAHIA,Cotegipe,6.77,2022,agriculture +Caatinga,BAHIA,Santana,3.38,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,5.07,2022,agriculture +Caatinga,BAHIA,Wanderley,10.83,2022,agriculture +Caatinga,BAHIA,Urandi,6.55,2022,others +Caatinga,BAHIA,Pindobaçu,11.85,2022,others +Caatinga,BAHIA,Ibotirama,4.61,2022,others +Caatinga,BAHIA,Euclides da Cunha,88.84,2022,agriculture +Caatinga,BAHIA,Morpará,10.95,2022,others +Caatinga,BAHIA,Jeremoabo,3.08,2022,others +Caatinga,BAHIA,Banzaê,6.73,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,9.45,2022,agriculture +Caatinga,BAHIA,Paratinga,1.1,2022,others +Caatinga,BAHIA,Ribeira do Amparo,11.83,2022,agriculture +Caatinga,BAHIA,Banzaê,5.64,2022,others +Caatinga,BAHIA,Jeremoabo,40.13,2022,others +Caatinga,BAHIA,Oliveira dos Brejinhos,7.36,2022,others +Caatinga,BAHIA,Sátiro Dias,19.56,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.11,2022,agriculture +Caatinga,BAHIA,Jeremoabo,7.54,2022,others +Caatinga,BAHIA,Sítio do Mato,4.45,2022,agriculture +Cerrado,BAHIA,Barreiras,375.94,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,36.92,2022,agriculture +Cerrado,BAHIA,Baianópolis,70.57,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,0.6,2022,others +Cerrado,BAHIA,Tanque Novo,3.59,2022,agriculture +Caatinga,BAHIA,Buritirama,1.62,2022,others +Cerrado,BAHIA,Jaborandi,5.8,2022,agriculture +Caatinga,BAHIA,Paratinga,0.63,2022,others +Caatinga,BAHIA,Buritirama,0.46,2022,others +Caatinga,BAHIA,Riacho de Santana,2.84,2022,others +Caatinga,BAHIA,Buritirama,0.92,2022,others +Caatinga,BAHIA,Rio do Antônio,0.73,2022,others +Caatinga,BAHIA,Ibitiara,2.32,2022,others +Caatinga,BAHIA,Buritirama,0.15,2022,others +Caatinga,BAHIA,Buritirama,0.65,2022,others +Caatinga,BAHIA,Umburanas,6.04,2022,others +Caatinga,BAHIA,Barra,2.39,2022,agriculture +Cerrado,BAHIA,Cocos,32.26,2022,agriculture +Caatinga,BAHIA,Umburanas,0.68,2022,agriculture +Mata Atlântica,BAHIA,Iguaí,0.77,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,5.76,2022,others +Mata Atlântica,BAHIA,Camaçari,0.42,2022,agriculture +Mata Atlântica,BAHIA,Una,1.34,2022,agriculture +Mata Atlântica,BAHIA,Itacaré,1.84,2022,agriculture +Mata Atlântica,BAHIA,São Sebastião do Passé,5.65,2022,agriculture +Mata Atlântica,BAHIA,Ipecaetá,6.74,2022,agriculture +Mata Atlântica,BAHIA,Taperoá,0.7,2022,agriculture +Mata Atlântica,BAHIA,Itamari,8.52,2022,agriculture +Cerrado,BAHIA,Macaúbas,1.55,2022,others +Cerrado,BAHIA,Tabocas do Brejo Velho,10.02,2022,agriculture +Caatinga,BAHIA,Condeúba,22.95,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,13.74,2019,agriculture +Mata Atlântica,BAHIA,Ilhéus,15.6,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,316.86,2019,agriculture +Cerrado,BAHIA,Correntina,488.23,2019,agriculture +Mata Atlântica,BAHIA,Cândido Sales,26.19,2019,agriculture +Mata Atlântica,BAHIA,Mascote,8.72,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,25.68,2019,agriculture +Caatinga,BAHIA,Coribe,20.92,2019,agriculture +Caatinga,BAHIA,Brejolândia,54.45,2019,agriculture +Caatinga,BAHIA,Angical,19.12,2019,agriculture +Caatinga,BAHIA,Cotegipe,37.87,2019,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,16.8,2019,agriculture +Caatinga,BAHIA,Jacobina,5.45,2019,agriculture +Caatinga,BAHIA,Iraquara,2.14,2019,agriculture +Caatinga,BAHIA,Bonito,4.68,2019,agriculture +Caatinga,BAHIA,Mundo Novo,3.96,2019,agriculture +Caatinga,BAHIA,Serra do Ramalho,14.4,2019,agriculture +Caatinga,BAHIA,Brejolândia,17.68,2019,agriculture +Cerrado,BAHIA,Baianópolis,12.12,2019,agriculture +Cerrado,BAHIA,São Desidério,4.81,2019,agriculture +Cerrado,BAHIA,São Desidério,17.39,2019,agriculture +Cerrado,BAHIA,Barreiras,7.48,2019,agriculture +Cerrado,BAHIA,Baianópolis,13.49,2019,agriculture +Caatinga,BAHIA,Cotegipe,12.26,2019,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,13.22,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,523.73,2019,agriculture +Caatinga,BAHIA,Serra Dourada,4.47,2019,agriculture +Mata Atlântica,BAHIA,Camaçari,8.24,2019,urban_expansion +Mata Atlântica,BAHIA,Uruçuca,1.02,2019,agriculture +Mata Atlântica,BAHIA,Ipiaú,10.04,2019,agriculture +Mata Atlântica,BAHIA,Salvador,4.29,2019,urban_expansion +Mata Atlântica,BAHIA,Valença,3.16,2019,agriculture +Mata Atlântica,BAHIA,Camacan,6.36,2019,agriculture +Mata Atlântica,BAHIA,Itapebi,5.21,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,10.02,2019,agriculture +Mata Atlântica,BAHIA,Itapetinga,29.27,2019,agriculture +Mata Atlântica,BAHIA,Camamu,6.29,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,6.67,2019,agriculture +Mata Atlântica,BAHIA,Jucuruçu,1.8,2019,agriculture +Mata Atlântica,BAHIA,Jaguaripe,3.76,2019,agriculture +Mata Atlântica,BAHIA,Ibicaraí,1.15,2019,agriculture +Cerrado,BAHIA,Jaborandi,159.88,2020,agriculture +Caatinga,BAHIA,Cotegipe,14.28,2020,agriculture +Cerrado,BAHIA,Barreiras,1.84,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,169.01,2020,agriculture +Cerrado,BAHIA,Wanderley,28.0,2020,agriculture +Cerrado,BAHIA,São Desidério,105.18,2020,agriculture +Cerrado,BAHIA,São Desidério,12.41,2020,agriculture +Mata Atlântica,BAHIA,Itanagra,0.94,2020,agriculture +Mata Atlântica,BAHIA,Mata de São João,4.15,2020,agriculture +Mata Atlântica,BAHIA,Alagoinhas,5.18,2020,agriculture +Mata Atlântica,BAHIA,Camamu,14.16,2020,agriculture +Mata Atlântica,BAHIA,Camamu,1.65,2020,agriculture +Mata Atlântica,BAHIA,Camacan,0.38,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,6.39,2020,agriculture +Mata Atlântica,BAHIA,Almadina,2.12,2020,agriculture +Mata Atlântica,BAHIA,Planalto,10.22,2020,agriculture +Cerrado,BAHIA,Baianópolis,1.03,2020,agriculture +Cerrado,BAHIA,São Desidério,4.73,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,7.28,2020,agriculture +Caatinga,BAHIA,Brumado,1.67,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,72.61,2020,agriculture +Caatinga,BAHIA,Canudos,23.94,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,21.97,2020,agriculture +Caatinga,BAHIA,Feira da Mata,2.0,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,14.0,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,16.55,2020,agriculture +Mata Atlântica,BAHIA,Ibirataia,8.0,2020,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.55,2020,agriculture +Mata Atlântica,BAHIA,Itabuna,3.64,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,226.59,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,28.99,2020,agriculture +Cerrado,BAHIA,Correntina,293.82,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,210.99,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,389.6,2020,agriculture +Cerrado,BAHIA,Barreiras,78.13,2020,agriculture +Caatinga,BAHIA,Tapiramutá,8.92,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,195.43,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,69.42,2020,agriculture +Cerrado,BAHIA,Baianópolis,8.18,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,34.49,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,15.83,2020,agriculture +Caatinga,BAHIA,Santana,8.26,2020,agriculture +Caatinga,BAHIA,Urandi,12.73,2020,agriculture +Caatinga,BAHIA,Carinhanha,21.67,2020,agriculture +Caatinga,BAHIA,Santana,7.92,2020,agriculture +Caatinga,BAHIA,Guajeru,2.08,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,34.6,2020,urban_expansion +Caatinga,BAHIA,Mucugê,69.07,2020,agriculture +Caatinga,BAHIA,Mundo Novo,3.89,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,40.91,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,4.59,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,1.7,2020,agriculture +Caatinga,BAHIA,Poções,4.96,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,4.38,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,19.55,2020,agriculture +Caatinga,BAHIA,Macaúbas,12.24,2020,urban_expansion +Cerrado,BAHIA,Cristópolis,7.17,2020,agriculture +Caatinga,BAHIA,Mansidão,1.74,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,2.32,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,120.66,2020,others +Cerrado,BAHIA,Tabocas do Brejo Velho,12.76,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,16.7,2020,agriculture +Caatinga,BAHIA,Brejolândia,11.92,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,17.0,2020,agriculture +Caatinga,BAHIA,Iaçu,7.04,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.04,2020,agriculture +Mata Atlântica,BAHIA,Camamu,1.01,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,29.12,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,5.52,2020,agriculture +Mata Atlântica,BAHIA,Floresta Azul,18.12,2020,agriculture +Caatinga,BAHIA,Cocos,29.02,2020,agriculture +Cerrado,BAHIA,São Desidério,136.55,2020,agriculture +Cerrado,BAHIA,Cocos,3.07,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,9.63,2020,agriculture +Cerrado,BAHIA,Cotegipe,12.54,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,1.77,2020,agriculture +Mata Atlântica,BAHIA,Itaju do Colônia,2.52,2020,agriculture +Caatinga,BAHIA,Coribe,6.28,2020,agriculture +Caatinga,BAHIA,Santana,7.71,2020,agriculture +Caatinga,BAHIA,Angical,19.38,2020,agriculture +Mata Atlântica,BAHIA,Itacaré,1.06,2020,agriculture +Mata Atlântica,BAHIA,Jaguaripe,1.05,2020,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,1.59,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,2.76,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,5.7,2020,agriculture +Mata Atlântica,BAHIA,Jucuruçu,6.35,2020,agriculture +Caatinga,BAHIA,Paratinga,2.16,2020,agriculture +Caatinga,BAHIA,Buritirama,4.0,2020,agriculture +Caatinga,BAHIA,Barra,9.42,2020,agriculture +Caatinga,BAHIA,Malhada de Pedras,5.02,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,3.45,2020,agriculture +Caatinga,BAHIA,Malhada,2.22,2020,agriculture +Cerrado,BAHIA,Caetité,2.12,2020,agriculture +Cerrado,BAHIA,Caetité,0.5,2020,agriculture +Caatinga,BAHIA,Itatim,1.28,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.46,2020,agriculture +Caatinga,BAHIA,Caraíbas,11.92,2020,agriculture +Caatinga,BAHIA,Casa Nova,32.94,2020,agriculture +Caatinga,BAHIA,Dom Basílio,5.78,2020,agriculture +Mata Atlântica,BAHIA,Brejões,1.56,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,7.33,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,22.29,2021,agriculture +Mata Atlântica,BAHIA,Maraú,1.28,2021,agriculture +Mata Atlântica,BAHIA,Barro Preto,14.34,2021,agriculture +Mata Atlântica,BAHIA,Dário Meira,4.64,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,15.49,2021,agriculture +Caatinga,BAHIA,Barra da Estiva,1.49,2021,agriculture +Mata Atlântica,BAHIA,São Sebastião do Passé,1.12,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,32.66,2021,agriculture +Caatinga,BAHIA,Canudos,3.97,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,17.09,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,6.6,2021,agriculture +Caatinga,BAHIA,Nova Soure,6.8,2021,agriculture +Caatinga,BAHIA,Boquira,14.4,2021,agriculture +Mata Atlântica,BAHIA,Taperoá,6.07,2021,agriculture +Caatinga,BAHIA,Feira da Mata,13.09,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.37,2021,agriculture +Caatinga,BAHIA,Ituaçu,10.43,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,11.73,2021,agriculture +Caatinga,BAHIA,Angical,2.6,2021,agriculture +Cerrado,BAHIA,Cocos,206.49,2021,agriculture +Cerrado,BAHIA,Jaborandi,42.75,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,4.02,2021,agriculture +Caatinga,BAHIA,Miguel Calmon,14.37,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,50.43,2021,agriculture +Caatinga,BAHIA,Miguel Calmon,8.53,2021,agriculture +Caatinga,BAHIA,Barra do Mendes,1.22,2021,agriculture +Caatinga,BAHIA,Sento Sé,6.06,2021,agriculture +Cerrado,BAHIA,Barreiras,1.19,2021,agriculture +Cerrado,BAHIA,Barreiras,13.54,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,3.49,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,11.33,2021,agriculture +Caatinga,BAHIA,Mirangaba,0.79,2021,agriculture +Caatinga,BAHIA,Sento Sé,0.76,2021,agriculture +Caatinga,BAHIA,Campo Formoso,5.29,2021,agriculture +Cerrado,BAHIA,Baianópolis,8.81,2021,agriculture +Cerrado,BAHIA,São Desidério,2.8,2021,agriculture +Cerrado,BAHIA,Catolândia,8.09,2021,agriculture +Caatinga,BAHIA,Cordeiros,3.42,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,5.01,2021,agriculture +Mata Atlântica,BAHIA,Belo Campo,3.22,2021,agriculture +Caatinga,BAHIA,Mansidão,4.55,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.13,2021,agriculture +Caatinga,BAHIA,Feira da Mata,5.46,2021,agriculture +Caatinga,BAHIA,Seabra,0.67,2021,agriculture +Cerrado,BAHIA,São Desidério,425.52,2021,agriculture +Caatinga,BAHIA,Carinhanha,1.27,2021,agriculture +Caatinga,BAHIA,Carinhanha,3.82,2021,agriculture +Cerrado,BAHIA,Baianópolis,14.62,2021,others +Caatinga,BAHIA,Sítio do Quinto,100.84,2021,others +Caatinga,BAHIA,Tucano,1.64,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,43.67,2021,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,8.38,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.3,2021,agriculture +Caatinga,BAHIA,Tanque Novo,0.35,2021,agriculture +Cerrado,BAHIA,Catolândia,11.98,2021,agriculture +Caatinga,BAHIA,Mortugaba,9.78,2021,agriculture +Caatinga,BAHIA,Quijingue,4.66,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,18.6,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,18.0,2021,agriculture +Mata Atlântica,BAHIA,Una,4.49,2021,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,16.88,2021,agriculture +Cerrado,BAHIA,Muquém do São Francisco,7.46,2021,agriculture +Caatinga,BAHIA,Barra,0.4,2020,others +Caatinga,BAHIA,Barra,6.66,2020,others +Caatinga,BAHIA,Angical,3.67,2020,others +Caatinga,BAHIA,Angical,13.54,2020,agriculture +Caatinga,BAHIA,Barra,1.53,2020,others +Caatinga,BAHIA,Barra,1.2,2020,agriculture +Cerrado,BAHIA,Cristópolis,1.66,2020,agriculture +Caatinga,BAHIA,Barra,1.57,2020,others +Caatinga,BAHIA,Cotegipe,3.34,2020,agriculture +Caatinga,BAHIA,Buritirama,4.73,2020,agriculture +Caatinga,BAHIA,Buritirama,2.35,2020,others +Caatinga,BAHIA,Barra,7.79,2020,others +Caatinga,BAHIA,Barra,0.78,2020,agriculture +Caatinga,BAHIA,Barra,1.35,2020,others +Caatinga,BAHIA,Cotegipe,3.52,2020,others +Caatinga,BAHIA,Malhada,2.11,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,0.76,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.07,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,0.69,2020,others +Caatinga,BAHIA,Santa Maria da Vitória,1.25,2020,agriculture +Cerrado,BAHIA,Brejolândia,3.22,2020,agriculture +Cerrado,BAHIA,Baianópolis,4.54,2020,agriculture +Cerrado,BAHIA,São Desidério,0.7,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,1.7,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,4.15,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,13.81,2020,agriculture +Caatinga,BAHIA,Brejolândia,3.66,2020,others +Cerrado,BAHIA,Correntina,23.41,2020,agriculture +Cerrado,BAHIA,Baianópolis,1.58,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.54,2020,agriculture +Caatinga,BAHIA,Jaborandi,7.95,2020,agriculture +Caatinga,BAHIA,Buritirama,0.74,2020,agriculture +Caatinga,BAHIA,Buritirama,0.67,2020,agriculture +Caatinga,BAHIA,Buritirama,1.37,2020,agriculture +Caatinga,BAHIA,Buritirama,1.36,2020,agriculture +Caatinga,BAHIA,Mansidão,1.29,2020,others +Cerrado,BAHIA,Barreiras,4.92,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.4,2020,agriculture +Cerrado,BAHIA,Barreiras,4.14,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,0.9,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,6.99,2020,agriculture +Caatinga,BAHIA,Carinhanha,0.85,2020,agriculture +Caatinga,BAHIA,Coribe,2.69,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,1.74,2021,others +Cerrado,BAHIA,Barreiras,6.78,2021,others +Cerrado,BAHIA,Riachão das Neves,3.02,2021,agriculture +Caatinga,BAHIA,Canudos,7.51,2021,agriculture +Caatinga,BAHIA,Canudos,21.96,2021,agriculture +Caatinga,BAHIA,Maetinga,9.98,2021,others +Caatinga,BAHIA,Riacho de Santana,12.64,2021,others +Caatinga,BAHIA,Boninal,0.83,2021,agriculture +Caatinga,BAHIA,Mirangaba,9.05,2021,agriculture +Caatinga,BAHIA,Cotegipe,15.93,2021,agriculture +Caatinga,BAHIA,Morpará,12.21,2021,agriculture +Caatinga,BAHIA,Guanambi,3.61,2021,others +Cerrado,BAHIA,Caetité,2.22,2021,agriculture +Caatinga,BAHIA,Guajeru,5.9,2021,agriculture +Caatinga,BAHIA,Angical,26.57,2021,agriculture +Caatinga,BAHIA,Brejolândia,24.65,2021,agriculture +Caatinga,BAHIA,Ipirá,44.42,2021,agriculture +Caatinga,BAHIA,Santa Terezinha,5.5,2021,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,8.44,2021,agriculture +Cerrado,BAHIA,Barreiras,27.08,2021,agriculture +Caatinga,BAHIA,Tanque Novo,1.82,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,10.37,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,44.96,2021,others +Caatinga,BAHIA,Santa Brígida,4.19,2021,others +Caatinga,BAHIA,Novo Triunfo,17.74,2021,agriculture +Caatinga,BAHIA,Ribeira do Pombal,36.64,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,1.61,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.61,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,2.94,2021,agriculture +Mata Atlântica,BAHIA,Jandaíra,23.78,2021,agriculture +Mata Atlântica,BAHIA,Uruçuca,6.79,2021,agriculture +Mata Atlântica,BAHIA,Guaratinga,6.42,2021,agriculture +Mata Atlântica,BAHIA,Iguaí,3.51,2021,agriculture +Caatinga,BAHIA,Lençóis,21.93,2021,others +Cerrado,BAHIA,Cocos,48.67,2021,agriculture +Mata Atlântica,BAHIA,Itagi,15.22,2021,agriculture +Caatinga,BAHIA,Malhada,6.59,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,25.21,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,4.46,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,79.22,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,2.07,2021,agriculture +Caatinga,BAHIA,Tucano,82.88,2021,agriculture +Mata Atlântica,BAHIA,Itambé,4.52,2021,agriculture +Caatinga,BAHIA,Feira da Mata,15.17,2021,agriculture +Mata Atlântica,BAHIA,Porto Seguro,3.51,2021,agriculture +Mata Atlântica,BAHIA,Itapé,14.38,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.38,2021,agriculture +Mata Atlântica,BAHIA,Nazaré,2.04,2021,agriculture +Caatinga,BAHIA,Macajuba,14.14,2021,agriculture +Caatinga,BAHIA,Marcionílio Souza,12.28,2021,agriculture +Caatinga,BAHIA,Mundo Novo,2.91,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,3.77,2021,others +Mata Atlântica,BAHIA,Cândido Sales,1.02,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,13.9,2021,agriculture +Caatinga,BAHIA,Contendas do Sincorá,8.29,2021,others +Caatinga,BAHIA,Mucugê,0.35,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,42.33,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,0.69,2021,agriculture +Caatinga,BAHIA,Buritirama,3.21,2021,agriculture +Caatinga,BAHIA,Buritirama,1.55,2021,agriculture +Caatinga,BAHIA,Mansidão,0.83,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.73,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,8.62,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.87,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.34,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,13.01,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.74,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,1.71,2021,agriculture +Caatinga,BAHIA,Cotegipe,6.92,2021,others +Caatinga,BAHIA,Uauá,4.81,2021,agriculture +Caatinga,BAHIA,Jeremoabo,129.06,2021,agriculture +Caatinga,BAHIA,Jeremoabo,6.81,2021,others +Caatinga,BAHIA,Cocos,6.59,2021,others +Caatinga,BAHIA,Sobradinho,9.46,2021,agriculture +Caatinga,BAHIA,Paratinga,2.16,2021,others +Caatinga,BAHIA,Brumado,10.6,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,25.18,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,6.74,2021,others +Caatinga,BAHIA,Riacho de Santana,0.7,2021,others +Caatinga,BAHIA,Paratinga,1.28,2021,others +Caatinga,BAHIA,Boa Nova,1.7,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,103.42,2021,agriculture +Caatinga,BAHIA,Xique-Xique,2.77,2021,others +Caatinga,BAHIA,Morro do Chapéu,15.94,2021,others +Caatinga,BAHIA,Sátiro Dias,1.87,2021,agriculture +Caatinga,BAHIA,Ibotirama,2.67,2021,agriculture +Caatinga,BAHIA,Paratinga,2.03,2021,others +Caatinga,BAHIA,Oliveira dos Brejinhos,3.97,2021,agriculture +Cerrado,BAHIA,Baianópolis,107.1,2021,agriculture +Cerrado,BAHIA,Caetité,7.32,2021,agriculture +Cerrado,BAHIA,Barreiras,36.67,2021,agriculture +Caatinga,BAHIA,Brejolândia,41.89,2021,agriculture +Cerrado,BAHIA,Cocos,199.01,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,140.91,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,12.85,2021,agriculture +Mata Atlântica,BAHIA,Catu,4.07,2021,agriculture +Cerrado,BAHIA,São Desidério,456.98,2021,agriculture +Caatinga,BAHIA,Itatim,6.54,2021,agriculture +Caatinga,BAHIA,Angical,35.4,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,6.25,2021,agriculture +Mata Atlântica,BAHIA,Jucuruçu,7.49,2022,agriculture +Mata Atlântica,BAHIA,Dário Meira,3.86,2022,agriculture +Mata Atlântica,BAHIA,Itapetinga,15.44,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,5.59,2022,agriculture +Mata Atlântica,BAHIA,Jequié,4.42,2022,agriculture +Mata Atlântica,BAHIA,Vereda,2.48,2022,agriculture +Cerrado,BAHIA,Baianópolis,141.22,2022,agriculture +Cerrado,BAHIA,Catolândia,497.83,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,5.71,2022,agriculture +Caatinga,BAHIA,Juazeiro,5.25,2022,agriculture +Caatinga,BAHIA,Caetanos,4.58,2022,agriculture +Caatinga,BAHIA,Feira da Mata,10.66,2022,agriculture +Caatinga,BAHIA,Santana,1.91,2022,agriculture +Cerrado,BAHIA,Santana,14.11,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,5.67,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,11.51,2022,agriculture +Mata Atlântica,BAHIA,Piripá,10.97,2022,agriculture +Cerrado,BAHIA,Igaporã,5.87,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,80.25,2022,agriculture +Caatinga,BAHIA,Contendas do Sincorá,3.57,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,3.41,2022,others +Caatinga,BAHIA,Matina,7.82,2022,agriculture +Caatinga,BAHIA,Macaúbas,1.59,2022,others +Cerrado,BAHIA,Igaporã,1.72,2022,agriculture +Cerrado,BAHIA,Igaporã,0.56,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.02,2022,agriculture +Caatinga,BAHIA,Buritirama,2.88,2022,others +Caatinga,BAHIA,Santa Brígida,4.01,2022,others +Caatinga,BAHIA,Boninal,2.12,2022,agriculture +Caatinga,BAHIA,Santa Brígida,101.9,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,11.51,2022,others +Caatinga,BAHIA,Itapicuru,96.88,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.44,2022,agriculture +Caatinga,BAHIA,Campo Formoso,2.95,2022,others +Caatinga,BAHIA,Serrinha,4.84,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,5.04,2022,others +Caatinga,BAHIA,Tanque Novo,0.93,2022,others +Caatinga,BAHIA,Riacho de Santana,5.47,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,271.3,2022,agriculture +Caatinga,BAHIA,Pindobaçu,3.55,2022,others +Caatinga,BAHIA,Uauá,83.23,2022,others +Caatinga,BAHIA,Macaúbas,4.51,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.62,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.37,2022,others +Mata Atlântica,BAHIA,Cardeal da Silva,3.39,2022,agriculture +Mata Atlântica,BAHIA,Itacaré,0.64,2022,agriculture +Mata Atlântica,BAHIA,Porto Seguro,2.19,2022,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,0.76,2022,agriculture +Mata Atlântica,BAHIA,Conde,0.85,2022,agriculture +Mata Atlântica,BAHIA,Taperoá,0.27,2022,agriculture +Mata Atlântica,BAHIA,Nova Itarana,15.0,2022,agriculture +Caatinga,BAHIA,Caculé,2.72,2022,agriculture +Caatinga,BAHIA,Ibotirama,6.7,2022,agriculture +Caatinga,BAHIA,Coronel João Sá,8.39,2022,others +Caatinga,BAHIA,Jeremoabo,19.52,2022,others +Caatinga,BAHIA,Campo Formoso,11.78,2022,others +Caatinga,BAHIA,Araci,6.28,2022,others +Caatinga,BAHIA,Santana,101.06,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.7,2022,others +Caatinga,BAHIA,Euclides da Cunha,5.54,2022,others +Caatinga,BAHIA,Juazeiro,6.16,2022,others +Caatinga,BAHIA,Ribeira do Pombal,10.7,2022,others +Caatinga,BAHIA,Boa Vista do Tupim,28.35,2022,others +Caatinga,BAHIA,Santana,6.03,2022,others +Caatinga,BAHIA,Manoel Vitorino,23.81,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,4.41,2022,agriculture +Caatinga,BAHIA,Santana,18.27,2022,others +Caatinga,BAHIA,Wanderley,47.65,2022,others +Caatinga,BAHIA,Santa Bárbara,5.73,2022,others +Caatinga,BAHIA,Coronel João Sá,9.53,2022,others +Caatinga,BAHIA,Manoel Vitorino,9.94,2022,others 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Atlântica,BAHIA,Cândido Sales,4.22,2022,agriculture +Mata Atlântica,BAHIA,Caatiba,3.1,2022,agriculture +Mata Atlântica,BAHIA,Aporá,2.24,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,1.41,2022,agriculture +Caatinga,BAHIA,Itapicuru,37.12,2022,others +Caatinga,BAHIA,Itapicuru,9.42,2022,others +Cerrado,BAHIA,Tabocas do Brejo Velho,5.42,2022,agriculture +Cerrado,BAHIA,Correntina,146.07,2022,agriculture +Cerrado,BAHIA,Catolândia,18.3,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,544.98,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,10.29,2019,agriculture +Cerrado,BAHIA,Cocos,37.3,2019,agriculture +Cerrado,BAHIA,Baianópolis,31.86,2019,agriculture +Mata Atlântica,BAHIA,Ituberá,4.42,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.12,2019,agriculture +Mata Atlântica,BAHIA,Itambé,19.45,2019,agriculture +Caatinga,BAHIA,Wanderley,0.9,2019,agriculture +Cerrado,BAHIA,Cocos,27.88,2019,agriculture +Caatinga,BAHIA,Buritirama,29.07,2019,agriculture 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Atlântica,BAHIA,Teolândia,1.75,2019,agriculture +Mata Atlântica,BAHIA,Jequié,2.56,2019,agriculture +Mata Atlântica,BAHIA,Salvador,6.51,2019,urban_expansion +Mata Atlântica,BAHIA,Santo Amaro,6.17,2019,agriculture +Mata Atlântica,BAHIA,Guaratinga,1.37,2019,agriculture +Mata Atlântica,BAHIA,Ibirataia,3.72,2019,agriculture +Mata Atlântica,BAHIA,Itabuna,14.51,2019,agriculture +Mata Atlântica,BAHIA,Planalto,38.28,2019,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,7.97,2020,agriculture +Cerrado,BAHIA,Barreiras,4.8,2020,agriculture +Cerrado,BAHIA,São Desidério,1291.53,2020,agriculture +Caatinga,BAHIA,Feira da Mata,11.72,2020,agriculture +Mata Atlântica,BAHIA,Simões Filho,4.87,2020,urban_expansion +Mata Atlântica,BAHIA,São José da Vitória,6.37,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,7.59,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,3.28,2020,agriculture +Mata Atlântica,BAHIA,Cravolândia,2.43,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,0.88,2020,agriculture +Mata Atlântica,BAHIA,Lafaiete Coutinho,1.38,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,1.08,2020,agriculture +Caatinga,BAHIA,Brumado,5.57,2020,agriculture +Caatinga,BAHIA,Tremedal,4.47,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,13.04,2020,agriculture +Caatinga,BAHIA,Itapicuru,3.39,2020,agriculture +Caatinga,BAHIA,Urandi,6.22,2020,agriculture +Caatinga,BAHIA,Pindaí,10.73,2020,agriculture +Cerrado,BAHIA,Coribe,10.07,2020,agriculture +Caatinga,BAHIA,Carinhanha,27.13,2020,agriculture +Caatinga,BAHIA,Sento Sé,28.39,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,12.41,2020,agriculture +Caatinga,BAHIA,Paratinga,1.43,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,458.81,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,18.14,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,4.52,2020,agriculture +Cerrado,BAHIA,Baianópolis,6.96,2020,agriculture +Cerrado,BAHIA,Catolândia,3.88,2020,agriculture +Caatinga,BAHIA,Caculé,2.38,2020,agriculture +Caatinga,BAHIA,Ituaçu,1.55,2020,agriculture +Caatinga,BAHIA,Igaporã,9.02,2020,agriculture +Mata Atlântica,BAHIA,Camamu,5.58,2020,agriculture +Cerrado,BAHIA,Cocos,26.03,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,76.85,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,7.48,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,9.03,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,4.2,2020,agriculture +Cerrado,BAHIA,São Desidério,7.4,2020,agriculture +Caatinga,BAHIA,Jaborandi,3.52,2020,agriculture +Caatinga,BAHIA,Casa Nova,0.48,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,6.93,2020,agriculture +Caatinga,BAHIA,Coronel João Sá,10.59,2020,agriculture +Caatinga,BAHIA,Condeúba,1.55,2020,agriculture +Caatinga,BAHIA,Brumado,2.2,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,1.98,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.75,2020,agriculture +Caatinga,BAHIA,Cotegipe,11.83,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,3.52,2020,agriculture +Mata Atlântica,BAHIA,Teolândia,6.66,2020,agriculture +Mata Atlântica,BAHIA,Ibirataia,8.99,2020,agriculture +Caatinga,BAHIA,Malhada,19.24,2020,agriculture +Caatinga,BAHIA,Serra Dourada,9.26,2020,agriculture +Mata Atlântica,BAHIA,Alagoinhas,8.42,2020,agriculture +Mata Atlântica,BAHIA,Jaguaripe,10.69,2020,agriculture +Mata Atlântica,BAHIA,Aratuípe,2.21,2020,agriculture +Mata Atlântica,BAHIA,Valença,3.19,2020,agriculture +Caatinga,BAHIA,Ibipitanga,2.46,2020,agriculture +Caatinga,BAHIA,Boninal,2.25,2020,agriculture +Caatinga,BAHIA,Brejolândia,27.18,2020,agriculture +Mata Atlântica,BAHIA,Maraú,1.88,2020,agriculture +Mata Atlântica,BAHIA,Barro Preto,26.26,2020,agriculture +Mata Atlântica,BAHIA,Ibicaraí,6.32,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,4.06,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.44,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,13.58,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,37.67,2020,agriculture +Caatinga,BAHIA,São Gabriel,1.48,2020,agriculture +Caatinga,BAHIA,Serra Dourada,3.77,2020,agriculture +Caatinga,BAHIA,Angical,7.95,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,6.7,2020,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,1.89,2020,agriculture +Mata Atlântica,BAHIA,Jaguaquara,2.75,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,10.98,2020,agriculture +Cerrado,BAHIA,Lagoa Real,2.55,2020,agriculture +Caatinga,BAHIA,Rio do Antônio,3.96,2020,agriculture +Caatinga,BAHIA,Tanhaçu,8.36,2020,agriculture +Caatinga,BAHIA,Brumado,1.98,2020,agriculture +Caatinga,BAHIA,Piatã,4.83,2020,agriculture +Caatinga,BAHIA,Casa Nova,9.19,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,0.92,2020,agriculture +Caatinga,BAHIA,Paratinga,3.32,2020,agriculture +Caatinga,BAHIA,Paratinga,3.71,2020,agriculture +Cerrado,BAHIA,Caetité,1.04,2020,agriculture +Cerrado,BAHIA,Macaúbas,1.4,2020,agriculture +Caatinga,BAHIA,Paramirim,0.17,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,9.8,2020,agriculture +Caatinga,BAHIA,São Gabriel,8.46,2020,agriculture +Caatinga,BAHIA,Paramirim,9.94,2020,agriculture +Caatinga,BAHIA,Piripá,17.36,2020,agriculture +Caatinga,BAHIA,Aracatu,4.76,2020,agriculture +Caatinga,BAHIA,Buritirama,1.29,2020,agriculture +Caatinga,BAHIA,Barra,8.94,2021,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,3.35,2021,agriculture +Mata Atlântica,BAHIA,Valença,1.66,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,0.64,2021,agriculture +Mata Atlântica,BAHIA,Itagibá,0.88,2021,urban_expansion +Mata Atlântica,BAHIA,Dário Meira,0.86,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,2.9,2021,agriculture +Mata Atlântica,BAHIA,Aporá,6.07,2021,agriculture +Caatinga,BAHIA,Morpará,2.24,2021,agriculture +Mata Atlântica,BAHIA,Amargosa,4.95,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,3.56,2021,agriculture +Caatinga,BAHIA,Jacobina,5.73,2021,agriculture +Cerrado,BAHIA,Jaborandi,150.75,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,38.78,2021,agriculture +Caatinga,BAHIA,Correntina,5.98,2021,agriculture +Cerrado,BAHIA,Baianópolis,13.49,2021,agriculture +Mata Atlântica,BAHIA,Camacan,1.76,2021,agriculture +Mata Atlântica,BAHIA,Ipiaú,3.93,2021,agriculture +Mata Atlântica,BAHIA,Itororó,1.77,2021,agriculture +Mata Atlântica,BAHIA,Itambé,3.36,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,91.03,2021,agriculture +Caatinga,BAHIA,Wanderley,35.41,2021,agriculture +Mata Atlântica,BAHIA,Valença,1.8,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,2.47,2021,agriculture +Caatinga,BAHIA,Lençóis,19.85,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,104.44,2021,agriculture +Mata Atlântica,BAHIA,Itaju do Colônia,10.31,2021,agriculture +Caatinga,BAHIA,Itaberaba,16.0,2021,agriculture +Caatinga,BAHIA,Mundo Novo,8.44,2021,agriculture +Caatinga,BAHIA,Mulungu do Morro,3.63,2021,agriculture +Cerrado,BAHIA,Macaúbas,1.64,2021,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,1.44,2021,agriculture +Caatinga,BAHIA,Jeremoabo,21.06,2021,agriculture +Cerrado,BAHIA,Tanque Novo,0.8,2021,agriculture +Caatinga,BAHIA,Angical,9.58,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,3.14,2021,agriculture +Caatinga,BAHIA,Rio do Pires,1.7,2021,agriculture +Caatinga,BAHIA,Brumado,10.3,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.06,2021,agriculture +Caatinga,BAHIA,Sobradinho,3.77,2021,agriculture +Caatinga,BAHIA,Jeremoabo,71.21,2021,agriculture +Cerrado,BAHIA,São Desidério,1.45,2021,agriculture +Mata Atlântica,BAHIA,São Gonçalo dos Campos,6.49,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,417.24,2021,agriculture +Caatinga,BAHIA,Seabra,0.19,2021,agriculture +Caatinga,BAHIA,Barra,36.71,2021,agriculture +Cerrado,BAHIA,Jaborandi,431.67,2021,agriculture +Cerrado,BAHIA,Coribe,13.9,2021,agriculture +Caatinga,BAHIA,Barra,4.35,2021,agriculture +Mata Atlântica,BAHIA,Cardeal da Silva,5.95,2021,agriculture +Mata Atlântica,BAHIA,Mata de São João,25.97,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,11.31,2021,agriculture +Mata Atlântica,BAHIA,Camacan,14.64,2021,agriculture +Caatinga,BAHIA,Canudos,0.68,2021,agriculture +Caatinga,BAHIA,Rafael Jambeiro,6.26,2021,agriculture +Caatinga,BAHIA,Canudos,7.62,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.44,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.69,2021,agriculture +Caatinga,BAHIA,Brumado,1.42,2021,others +Caatinga,BAHIA,Itapicuru,11.24,2021,agriculture +Caatinga,BAHIA,Nova Soure,24.99,2021,agriculture +Mata Atlântica,BAHIA,Camaçari,0.5,2021,agriculture +Caatinga,BAHIA,Wanderley,71.43,2021,agriculture +Mata Atlântica,BAHIA,Itapebi,12.78,2021,agriculture +Caatinga,BAHIA,Baixa Grande,16.31,2021,others +Cerrado,BAHIA,Luís Eduardo Magalhães,1.14,2020,agriculture +Cerrado,BAHIA,São Desidério,1.16,2020,agriculture +Caatinga,BAHIA,Angical,3.61,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,2.18,2020,agriculture +Caatinga,BAHIA,Barra,5.04,2020,agriculture +Caatinga,BAHIA,Buritirama,0.54,2020,agriculture +Caatinga,BAHIA,Barra,3.58,2020,others +Caatinga,BAHIA,Barra,6.54,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.51,2020,others +Caatinga,BAHIA,Cotegipe,1.74,2020,agriculture +Caatinga,BAHIA,Malhada,5.86,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,1.58,2020,agriculture +Cerrado,BAHIA,Serra Dourada,2.21,2020,agriculture +Cerrado,BAHIA,Brejolândia,3.37,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,24.71,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,1.43,2020,agriculture +Caatinga,BAHIA,Canápolis,6.91,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,0.83,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,0.6,2020,agriculture +Cerrado,BAHIA,São Desidério,2.1,2020,agriculture +Cerrado,BAHIA,Baianópolis,8.8,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,2.49,2020,agriculture +Caatinga,BAHIA,Santana,11.78,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,3.22,2020,agriculture +Caatinga,BAHIA,Buritirama,5.75,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.16,2020,agriculture +Caatinga,BAHIA,Mansidão,0.26,2020,others +Caatinga,BAHIA,Buritirama,1.49,2020,agriculture +Caatinga,BAHIA,Pilão Arcado,16.78,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,1.36,2020,others +Cerrado,BAHIA,Barreiras,5.57,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,7.48,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,13.59,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,0.81,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,3.94,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,7.77,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,67.25,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.79,2020,agriculture +Cerrado,BAHIA,Cocos,2.33,2020,agriculture +Cerrado,BAHIA,Coribe,0.48,2020,agriculture +Cerrado,BAHIA,Jaborandi,4.14,2020,agriculture +Cerrado,BAHIA,Coribe,0.91,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,1.59,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,17.0,2021,agriculture +Caatinga,BAHIA,Barra,1.22,2021,agriculture +Caatinga,BAHIA,Casa Nova,4.06,2021,agriculture +Caatinga,BAHIA,Casa Nova,4.72,2021,agriculture +Mata Atlântica,BAHIA,Brejões,3.81,2021,agriculture +Caatinga,BAHIA,Caturama,1.29,2021,others +Caatinga,BAHIA,Jeremoabo,4.57,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,4.37,2021,others +Caatinga,BAHIA,Ponto Novo,1.98,2021,agriculture +Caatinga,BAHIA,Morpará,1.6,2021,agriculture +Caatinga,BAHIA,Candeal,20.38,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,2.04,2021,agriculture +Caatinga,BAHIA,Araci,0.36,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,302.89,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,4.88,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.75,2021,agriculture +Cerrado,BAHIA,Lagoa Real,11.78,2021,agriculture +Caatinga,BAHIA,Santa Brígida,2.61,2021,agriculture +Caatinga,BAHIA,Anagé,1.66,2021,agriculture +Caatinga,BAHIA,Santana,14.64,2021,agriculture +Cerrado,BAHIA,Jaborandi,39.72,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,25.7,2021,agriculture +Cerrado,BAHIA,Correntina,155.66,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,6.07,2021,agriculture +Caatinga,BAHIA,Cícero Dantas,1.69,2021,others +Caatinga,BAHIA,Malhada de Pedras,4.17,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,27.39,2021,agriculture +Caatinga,BAHIA,Jeremoabo,7.49,2021,others +Mata Atlântica,BAHIA,Valença,3.11,2021,agriculture +Mata Atlântica,BAHIA,Jucuruçu,8.5,2021,agriculture +Cerrado,BAHIA,Baianópolis,9.28,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.07,2021,agriculture +Cerrado,BAHIA,São Desidério,153.12,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,30.67,2021,others +Caatinga,BAHIA,Rio do Antônio,1.72,2021,others +Caatinga,BAHIA,Casa Nova,2.55,2021,others +Caatinga,BAHIA,Malhada,2.77,2021,agriculture +Caatinga,BAHIA,Malhada,19.43,2021,others +Caatinga,BAHIA,Serra do Ramalho,19.14,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,9.42,2021,others +Caatinga,BAHIA,Itaberaba,20.0,2021,agriculture +Caatinga,BAHIA,Casa Nova,4.03,2021,agriculture +Caatinga,BAHIA,Serrinha,0.32,2021,agriculture +Mata Atlântica,BAHIA,Caatiba,73.26,2021,agriculture +Mata Atlântica,BAHIA,Uruçuca,3.26,2021,agriculture +Caatinga,BAHIA,Brumado,6.41,2021,agriculture +Caatinga,BAHIA,Utinga,3.28,2021,agriculture +Caatinga,BAHIA,Itaeté,1.78,2021,agriculture +Caatinga,BAHIA,Wanderley,23.25,2021,agriculture +Caatinga,BAHIA,Buritirama,1.93,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,10.57,2021,agriculture +Caatinga,BAHIA,Olindina,24.74,2021,agriculture +Caatinga,BAHIA,Brumado,17.31,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Serra,9.38,2021,agriculture +Caatinga,BAHIA,Mansidão,2.45,2021,agriculture +Caatinga,BAHIA,Mansidão,1.07,2021,agriculture +Caatinga,BAHIA,Buritirama,0.79,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.04,2021,agriculture +Caatinga,BAHIA,Sento Sé,0.47,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,17.77,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,22.23,2021,agriculture +Caatinga,BAHIA,Carinhanha,5.58,2021,others +Caatinga,BAHIA,Xique-Xique,16.39,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,48.67,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,20.39,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.72,2021,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,75.64,2021,agriculture +Caatinga,BAHIA,Iuiu,29.37,2021,agriculture +Caatinga,BAHIA,Serra Dourada,6.01,2021,others +Caatinga,BAHIA,Urandi,0.92,2021,others +Caatinga,BAHIA,Morpará,11.76,2021,others +Caatinga,BAHIA,Brumado,9.37,2021,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,2.63,2021,others +Caatinga,BAHIA,Casa Nova,4.96,2021,others +Caatinga,BAHIA,Santa Brígida,46.75,2021,others +Caatinga,BAHIA,Cícero Dantas,13.61,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,40.47,2021,others +Cerrado,BAHIA,Baianópolis,6.27,2021,agriculture +Caatinga,BAHIA,Macaúbas,13.3,2021,agriculture +Caatinga,BAHIA,Coribe,2.37,2021,agriculture +Caatinga,BAHIA,Coribe,10.5,2021,agriculture +Caatinga,BAHIA,Carinhanha,1.84,2021,agriculture +Caatinga,BAHIA,Matina,2.54,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,101.04,2021,agriculture +Caatinga,BAHIA,Wanderley,46.66,2021,agriculture +Caatinga,BAHIA,Wanderley,22.78,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1073.03,2021,agriculture +Cerrado,BAHIA,Cocos,443.54,2021,agriculture +Caatinga,BAHIA,Mulungu do Morro,3.64,2021,agriculture +Cerrado,BAHIA,Caetité,1.12,2021,agriculture +Caatinga,BAHIA,Mansidão,0.77,2021,agriculture +Caatinga,BAHIA,Cotegipe,5.42,2021,agriculture +Caatinga,BAHIA,Wanderley,31.45,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,24.59,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,2.16,2022,agriculture +Mata Atlântica,BAHIA,Itagi,4.27,2022,agriculture +Mata Atlântica,BAHIA,Coração de Maria,2.7,2022,agriculture +Mata Atlântica,BAHIA,Feira de Santana,15.69,2022,urban_expansion +Mata Atlântica,BAHIA,Vitória da Conquista,4.04,2022,agriculture +Mata Atlântica,BAHIA,Itambé,6.42,2022,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,1.36,2022,agriculture +Mata Atlântica,BAHIA,Una,2.17,2022,agriculture +Mata Atlântica,BAHIA,Itagibá,0.56,2022,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,3.2,2022,agriculture +Mata Atlântica,BAHIA,Jequié,0.5,2022,agriculture +Cerrado,BAHIA,Correntina,20.8,2022,agriculture +Cerrado,BAHIA,Barreiras,27.09,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,589.8,2022,agriculture +Caatinga,BAHIA,Paratinga,15.21,2022,agriculture +Mata Atlântica,BAHIA,Maraú,1.4,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.01,2022,agriculture +Mata Atlântica,BAHIA,São Gonçalo dos Campos,3.58,2022,agriculture +Cerrado,BAHIA,Jaborandi,17.94,2022,agriculture +Cerrado,BAHIA,Tanque Novo,3.37,2022,agriculture +Caatinga,BAHIA,Campo Formoso,11.52,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.56,2022,agriculture +Caatinga,BAHIA,Matina,1.03,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.74,2022,agriculture +Caatinga,BAHIA,Mucugê,11.77,2022,others +Cerrado,BAHIA,Matina,5.4,2022,agriculture +Caatinga,BAHIA,Pedro Alexandre,31.82,2022,others +Cerrado,BAHIA,Tanque Novo,1.12,2022,agriculture +Caatinga,BAHIA,Paratinga,5.11,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,2.22,2022,agriculture +Caatinga,BAHIA,Piatã,0.4,2022,agriculture +Caatinga,BAHIA,Matina,2.23,2022,agriculture +Caatinga,BAHIA,Iaçu,13.48,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.39,2022,agriculture +Caatinga,BAHIA,Paulo Afonso,15.67,2022,others +Mata Atlântica,BAHIA,Jaguaripe,3.37,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,58.77,2022,agriculture +Mata Atlântica,BAHIA,Taperoá,0.58,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.39,2022,agriculture +Mata Atlântica,BAHIA,São Gonçalo dos Campos,0.98,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,2.66,2022,agriculture +Mata Atlântica,BAHIA,Mata de São João,5.48,2022,urban_expansion +Mata Atlântica,BAHIA,Santo Antônio de Jesus,0.32,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,20.08,2022,agriculture +Caatinga,BAHIA,Serra do Ramalho,5.91,2022,agriculture +Caatinga,BAHIA,Sobradinho,42.58,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,23.65,2022,agriculture +Caatinga,BAHIA,Jeremoabo,53.9,2022,agriculture +Caatinga,BAHIA,Malhada,7.53,2022,others +Cerrado,BAHIA,Macaúbas,3.84,2022,agriculture +Cerrado,BAHIA,Caetité,2.28,2022,agriculture +Caatinga,BAHIA,Condeúba,27.47,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,0.73,2022,others +Caatinga,BAHIA,Sátiro Dias,57.78,2022,others +Caatinga,BAHIA,Nova Soure,9.35,2022,others +Caatinga,BAHIA,Euclides da Cunha,9.45,2022,agriculture +Caatinga,BAHIA,Euclides da Cunha,6.53,2022,others +Caatinga,BAHIA,São Félix do Coribe,7.93,2022,others +Caatinga,BAHIA,Paratinga,2.43,2022,others +Caatinga,BAHIA,Boquira,1.42,2022,others +Cerrado,BAHIA,Luís Eduardo Magalhães,259.74,2022,agriculture +Cerrado,BAHIA,Caetité,0.64,2022,agriculture +Caatinga,BAHIA,Santana,345.93,2022,agriculture +Caatinga,BAHIA,Wanderley,216.85,2022,others +Caatinga,BAHIA,Pilão Arcado,0.73,2022,others +Cerrado,BAHIA,Barreiras,0.5,2022,agriculture +Caatinga,BAHIA,Filadélfia,4.08,2022,others +Caatinga,BAHIA,São Félix do Coribe,2.38,2022,agriculture +Cerrado,BAHIA,Correntina,361.37,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,59.81,2022,agriculture +Cerrado,BAHIA,Cristópolis,14.85,2022,agriculture +Caatinga,BAHIA,Itapicuru,79.7,2022,others +Caatinga,BAHIA,Barra,0.79,2022,others +Caatinga,BAHIA,Pilão Arcado,0.32,2022,others +Caatinga,BAHIA,Riacho de Santana,5.43,2022,others +Caatinga,BAHIA,Pilão Arcado,4.02,2022,others +Caatinga,BAHIA,Itiúba,4.62,2022,others +Caatinga,BAHIA,Macaúbas,1.75,2022,others +Caatinga,BAHIA,Barra,1.36,2022,others +Caatinga,BAHIA,Boquira,2.89,2022,others +Caatinga,BAHIA,Carinhanha,1.14,2022,others +Caatinga,BAHIA,Umburanas,0.92,2022,others +Caatinga,BAHIA,Feira da Mata,4.43,2022,others +Caatinga,BAHIA,Paratinga,1.04,2022,others +Caatinga,BAHIA,Curaçá,13.58,2022,others +Mata Atlântica,BAHIA,Jucuruçu,1.07,2022,agriculture +Mata Atlântica,BAHIA,Ituberá,1.04,2022,agriculture +Mata Atlântica,BAHIA,Itabela,1.7,2022,agriculture +Mata Atlântica,BAHIA,Santa Luzia,13.51,2022,agriculture +Mata Atlântica,BAHIA,Feira de Santana,11.64,2022,agriculture +Mata Atlântica,BAHIA,Valença,2.8,2022,agriculture +Mata Atlântica,BAHIA,Ituberá,1.23,2022,agriculture +Caatinga,BAHIA,Sátiro Dias,4.17,2022,others +Cerrado,BAHIA,São Desidério,105.29,2022,agriculture +Mata Atlântica,BAHIA,Itagibá,8.49,2019,agriculture +Caatinga,BAHIA,Jacobina,2.6,2019,agriculture +Mata Atlântica,BAHIA,Arataca,24.22,2019,agriculture +Caatinga,BAHIA,Iuiu,10.58,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.81,2019,agriculture +Cerrado,BAHIA,Cocos,10.33,2019,agriculture +Mata Atlântica,BAHIA,Jaguaquara,11.11,2019,agriculture +Mata Atlântica,BAHIA,Valença,3.3,2019,agriculture +Mata Atlântica,BAHIA,Ituberá,1.15,2019,agriculture +Mata Atlântica,BAHIA,Teolândia,2.88,2019,agriculture +Cerrado,BAHIA,Cristópolis,37.37,2019,agriculture +Caatinga,BAHIA,Mundo Novo,2.12,2019,agriculture +Caatinga,BAHIA,Cotegipe,10.88,2019,agriculture +Caatinga,BAHIA,Utinga,17.92,2019,agriculture +Caatinga,BAHIA,Bonito,3.13,2019,agriculture +Caatinga,BAHIA,Jacobina,12.57,2019,agriculture +Cerrado,BAHIA,Barreiras,111.73,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,47.9,2019,agriculture +Cerrado,BAHIA,São Desidério,181.23,2019,agriculture +Cerrado,BAHIA,Baianópolis,17.55,2019,agriculture +Cerrado,BAHIA,Barreiras,92.57,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.09,2019,agriculture +Cerrado,BAHIA,Barreiras,43.33,2019,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,42.23,2019,agriculture +Cerrado,BAHIA,Baianópolis,49.25,2019,agriculture +Mata Atlântica,BAHIA,Ipiaú,18.17,2019,agriculture +Mata Atlântica,BAHIA,Jandaíra,9.47,2019,agriculture +Mata Atlântica,BAHIA,Encruzilhada,2.0,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,2.8,2019,agriculture +Mata Atlântica,BAHIA,Itabuna,6.28,2019,agriculture +Mata Atlântica,BAHIA,Itapebi,24.25,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,5.36,2019,agriculture +Mata Atlântica,BAHIA,Ilhéus,4.4,2019,agriculture +Mata Atlântica,BAHIA,Dário Meira,11.38,2019,agriculture +Mata Atlântica,BAHIA,Camacan,2.99,2019,agriculture +Cerrado,BAHIA,Barreiras,32.42,2020,agriculture +Cerrado,BAHIA,Barreiras,31.12,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,19.16,2020,agriculture +Mata Atlântica,BAHIA,Una,1.99,2020,agriculture +Mata Atlântica,BAHIA,Igrapiúna,1.48,2020,agriculture +Mata Atlântica,BAHIA,Uruçuca,1.79,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,5.06,2020,agriculture +Mata Atlântica,BAHIA,Itabuna,33.39,2020,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,1.24,2020,agriculture +Mata Atlântica,BAHIA,Ibicaraí,5.75,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.37,2020,agriculture +Mata Atlântica,BAHIA,Itagibá,32.04,2020,agriculture +Mata Atlântica,BAHIA,Vereda,3.36,2020,agriculture +Caatinga,BAHIA,Mulungu do Morro,1.91,2020,agriculture +Mata Atlântica,BAHIA,Conde,1.12,2020,agriculture +Mata Atlântica,BAHIA,Jandaíra,18.02,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,15.0,2020,agriculture +Caatinga,BAHIA,Tanhaçu,4.37,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,7.3,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,59.28,2020,agriculture +Caatinga,BAHIA,Paramirim,6.37,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,13.63,2020,agriculture +Caatinga,BAHIA,Bonito,5.27,2020,agriculture +Caatinga,BAHIA,Andaraí,109.15,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,6.05,2020,agriculture +Caatinga,BAHIA,Jaborandi,11.45,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,6.11,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,15.74,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,25.52,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,11.4,2020,agriculture +Mata Atlântica,BAHIA,Jaguaripe,0.51,2020,agriculture +Cerrado,BAHIA,Barreiras,28.09,2020,agriculture +Cerrado,BAHIA,Correntina,52.49,2020,agriculture +Caatinga,BAHIA,Lençóis,10.92,2020,agriculture +Caatinga,BAHIA,Carinhanha,12.81,2020,agriculture +Caatinga,BAHIA,Ituaçu,4.67,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,5.08,2020,agriculture +Caatinga,BAHIA,Correntina,3.82,2020,agriculture +Caatinga,BAHIA,Malhada,26.77,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.5,2020,agriculture +Caatinga,BAHIA,Jaborandi,16.65,2020,agriculture +Cerrado,BAHIA,Caetité,1.89,2020,agriculture +Caatinga,BAHIA,Ibipitanga,5.78,2020,agriculture +Caatinga,BAHIA,Sento Sé,1.27,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,9.8,2020,agriculture +Caatinga,BAHIA,Tremedal,2.2,2020,agriculture +Caatinga,BAHIA,Souto Soares,2.63,2020,agriculture +Mata Atlântica,BAHIA,Itacaré,8.97,2020,agriculture +Mata Atlântica,BAHIA,Una,15.69,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,14.3,2020,agriculture +Caatinga,BAHIA,Feira da Mata,14.92,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,56.54,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,3.74,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,21.45,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,3.73,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,3.4,2020,agriculture +Caatinga,BAHIA,Jeremoabo,13.11,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,3.32,2020,agriculture +Caatinga,BAHIA,Wanderley,30.91,2020,agriculture +Caatinga,BAHIA,Casa Nova,1.78,2020,agriculture +Caatinga,BAHIA,Angical,2.32,2020,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.97,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,6.92,2020,agriculture +Mata Atlântica,BAHIA,Iguaí,3.14,2020,agriculture +Caatinga,BAHIA,Boa Nova,26.78,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,10.0,2020,agriculture +Cerrado,BAHIA,Baianópolis,7.44,2020,agriculture +Cerrado,BAHIA,Brejolândia,9.53,2020,agriculture +Caatinga,BAHIA,Sento Sé,4.01,2020,agriculture +Mata Atlântica,BAHIA,Pojuca,1.81,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,2.37,2020,agriculture +Cerrado,BAHIA,Cristópolis,4.02,2020,agriculture +Caatinga,BAHIA,Paratinga,7.77,2020,agriculture +Caatinga,BAHIA,Ibipitanga,7.07,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.35,2020,agriculture +Cerrado,BAHIA,Cocos,33.7,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,10.4,2020,agriculture +Mata Atlântica,BAHIA,Jaguaquara,0.84,2020,agriculture +Cerrado,BAHIA,Caetité,0.2,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,1.28,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,6.92,2020,agriculture +Cerrado,BAHIA,São Desidério,202.68,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,47.41,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,11.62,2020,agriculture +Mata Atlântica,BAHIA,Valença,2.29,2020,agriculture +Mata Atlântica,BAHIA,Taperoá,6.02,2020,agriculture +Mata Atlântica,BAHIA,Gandu,2.67,2020,agriculture +Mata Atlântica,BAHIA,Dário Meira,3.79,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.39,2020,agriculture +Caatinga,BAHIA,Brumado,0.69,2020,agriculture +Caatinga,BAHIA,Brumado,0.81,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,9.24,2020,agriculture +Caatinga,BAHIA,Matina,9.27,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,10.93,2020,agriculture +Caatinga,BAHIA,Malhada de Pedras,6.72,2020,agriculture +Caatinga,BAHIA,Guajeru,6.1,2020,agriculture +Caatinga,BAHIA,Piatã,5.35,2020,agriculture +Caatinga,BAHIA,Érico Cardoso,7.8,2020,agriculture +Caatinga,BAHIA,Urandi,7.66,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,12.77,2021,agriculture +Caatinga,BAHIA,Jaborandi,28.38,2021,agriculture +Mata Atlântica,BAHIA,Mascote,6.82,2021,agriculture +Mata Atlântica,BAHIA,Mascote,10.49,2021,agriculture +Mata Atlântica,BAHIA,Alcobaça,1.33,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,9.76,2021,agriculture +Cerrado,BAHIA,Cocos,9.77,2021,agriculture +Mata Atlântica,BAHIA,Taperoá,31.79,2021,agriculture +Mata Atlântica,BAHIA,Uruçuca,17.62,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,2.53,2021,agriculture +Mata Atlântica,BAHIA,Itapitanga,1.73,2021,agriculture +Mata Atlântica,BAHIA,Itagi,1.72,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,4.7,2021,agriculture +Caatinga,BAHIA,Paramirim,16.06,2021,agriculture +Caatinga,BAHIA,Santa Terezinha,11.52,2021,agriculture +Cerrado,BAHIA,Baianópolis,6.77,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,16.27,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.64,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,4.12,2021,agriculture +Caatinga,BAHIA,Guanambi,0.79,2021,agriculture +Cerrado,BAHIA,Barreiras,54.95,2021,agriculture +Mata Atlântica,BAHIA,Valença,5.08,2021,agriculture +Mata Atlântica,BAHIA,Eunápolis,4.68,2021,agriculture +Caatinga,BAHIA,Wanderley,27.11,2021,agriculture +Cerrado,BAHIA,Cocos,173.04,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,1.36,2021,agriculture +Caatinga,BAHIA,Wanderley,206.67,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,4.4,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,7.51,2021,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,12.6,2021,agriculture +Caatinga,BAHIA,Milagres,3.7,2021,agriculture +Caatinga,BAHIA,Miguel Calmon,7.07,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,5.01,2021,agriculture +Caatinga,BAHIA,Boquira,2.8,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.66,2021,agriculture +Caatinga,BAHIA,Ibitiara,0.52,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.73,2021,agriculture +Cerrado,BAHIA,Caetité,1.22,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.66,2021,agriculture +Caatinga,BAHIA,Jeremoabo,12.8,2021,agriculture +Caatinga,BAHIA,Correntina,1.05,2021,agriculture +Caatinga,BAHIA,Barra,3.26,2021,agriculture +Cerrado,BAHIA,São Desidério,17.32,2021,agriculture +Caatinga,BAHIA,Jacaraci,1.98,2021,agriculture +Caatinga,BAHIA,Buritirama,0.98,2021,agriculture +Caatinga,BAHIA,Rafael Jambeiro,1.49,2021,agriculture +Caatinga,BAHIA,Ribeira do Pombal,4.05,2021,agriculture +Mata Atlântica,BAHIA,Belo Campo,5.77,2021,agriculture +Caatinga,BAHIA,Remanso,22.85,2021,agriculture +Mata Atlântica,BAHIA,Aporá,3.42,2021,agriculture +Mata Atlântica,BAHIA,Aramari,57.97,2021,agriculture +Mata Atlântica,BAHIA,Itabela,3.85,2021,agriculture +Cerrado,BAHIA,Condeúba,2.82,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.7,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,12.25,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,8.87,2021,others +Caatinga,BAHIA,Lagoa Real,0.32,2021,urban_expansion +Caatinga,BAHIA,Abaíra,8.73,2021,agriculture +Caatinga,BAHIA,Mirangaba,7.22,2021,agriculture +Caatinga,BAHIA,Casa Nova,0.98,2021,agriculture +Caatinga,BAHIA,Campo Formoso,0.91,2021,others +Caatinga,BAHIA,Itapicuru,60.82,2021,others +Caatinga,BAHIA,Tanhaçu,1.07,2021,agriculture +Caatinga,BAHIA,Brejolândia,5.3,2021,agriculture +Caatinga,BAHIA,Brejolândia,27.04,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,35.88,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,7.53,2021,agriculture +Caatinga,BAHIA,Santana,8.49,2021,agriculture +Cerrado,BAHIA,Cocos,0.98,2020,agriculture +Cerrado,BAHIA,Wanderley,9.65,2020,agriculture +Cerrado,BAHIA,São Desidério,7.93,2020,agriculture +Cerrado,BAHIA,São Desidério,1.09,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,1.88,2020,agriculture +Caatinga,BAHIA,Barra,2.08,2020,others +Caatinga,BAHIA,Buritirama,1.59,2020,others +Caatinga,BAHIA,Angical,23.31,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.2,2020,agriculture +Caatinga,BAHIA,Barra,0.64,2020,others +Caatinga,BAHIA,Barra,6.73,2020,others +Caatinga,BAHIA,Barra,2.09,2020,others +Caatinga,BAHIA,Barra,5.25,2020,others +Caatinga,BAHIA,Barra,3.97,2020,others +Caatinga,BAHIA,Barra,5.68,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.53,2020,others +Cerrado,BAHIA,Cristópolis,1.46,2020,agriculture +Caatinga,BAHIA,Cotegipe,4.6,2020,agriculture +Cerrado,BAHIA,Mansidão,5.89,2020,agriculture +Caatinga,BAHIA,Barra,1.78,2020,agriculture +Caatinga,BAHIA,Cotegipe,2.71,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.48,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,4.34,2020,agriculture +Cerrado,BAHIA,Canápolis,0.97,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,4.97,2020,agriculture +Cerrado,BAHIA,São Desidério,0.41,2020,agriculture +Cerrado,BAHIA,Catolândia,3.76,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,7.7,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,2.96,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,5.08,2020,agriculture +Cerrado,BAHIA,Correntina,4.65,2020,agriculture +Cerrado,BAHIA,Baianópolis,0.86,2020,agriculture +Cerrado,BAHIA,Brejolândia,8.68,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,4.45,2020,agriculture +Cerrado,BAHIA,Correntina,1.83,2020,agriculture +Cerrado,BAHIA,Brejolândia,3.93,2020,agriculture +Caatinga,BAHIA,Buritirama,4.43,2020,others +Caatinga,BAHIA,Buritirama,2.77,2020,agriculture +Caatinga,BAHIA,Barra,1.49,2020,others +Caatinga,BAHIA,Buritirama,0.36,2020,agriculture +Caatinga,BAHIA,Buritirama,12.6,2020,agriculture +Caatinga,BAHIA,Buritirama,2.28,2020,others +Caatinga,BAHIA,Buritirama,1.73,2020,agriculture +Caatinga,BAHIA,Buritirama,1.04,2020,others +Caatinga,BAHIA,Buritirama,1.15,2020,others +Caatinga,BAHIA,Pilão Arcado,0.85,2020,others +Cerrado,BAHIA,Riachão das Neves,9.87,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,2.3,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,20.77,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1.24,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.02,2020,agriculture +Caatinga,BAHIA,Cocos,3.44,2020,others +Cerrado,BAHIA,Cocos,7.68,2020,agriculture +Cerrado,BAHIA,Cocos,3.99,2020,agriculture +Caatinga,BAHIA,Cocos,2.44,2020,others +Caatinga,BAHIA,Carinhanha,4.78,2020,agriculture +Caatinga,BAHIA,Carinhanha,6.34,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,5.89,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,2.32,2021,others +Caatinga,BAHIA,Ponto Novo,2.62,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,16.25,2021,agriculture +Caatinga,BAHIA,Guajeru,0.31,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,3.39,2021,agriculture +Mata Atlântica,BAHIA,Teixeira de Freitas,4.29,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.88,2021,agriculture +Cerrado,BAHIA,São Desidério,8.96,2021,agriculture +Cerrado,BAHIA,Correntina,151.92,2021,agriculture +Caatinga,BAHIA,Feira da Mata,24.55,2021,agriculture +Cerrado,BAHIA,Catolândia,7.79,2021,agriculture +Cerrado,BAHIA,São Desidério,186.23,2021,agriculture +Caatinga,BAHIA,Milagres,24.21,2021,others +Mata Atlântica,BAHIA,Barra do Choça,2.85,2021,agriculture +Caatinga,BAHIA,Curaçá,6.23,2021,others +Mata Atlântica,BAHIA,Cândido Sales,1.06,2021,agriculture +Caatinga,BAHIA,Pedro Alexandre,280.07,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,9.16,2021,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,16.97,2021,agriculture +Caatinga,BAHIA,Bonito,12.23,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,12.12,2021,agriculture +Caatinga,BAHIA,Malhada,19.91,2021,agriculture +Mata Atlântica,BAHIA,Jucuruçu,11.24,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,22.36,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,6.08,2021,others +Caatinga,BAHIA,Botuporã,13.75,2021,agriculture +Caatinga,BAHIA,Cícero Dantas,8.69,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,4.43,2021,agriculture +Cerrado,BAHIA,Barreiras,68.67,2021,agriculture +Caatinga,BAHIA,Pedro Alexandre,2.85,2021,others +Caatinga,BAHIA,Aracatu,1.69,2021,agriculture +Caatinga,BAHIA,Brumado,2.83,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,66.25,2021,agriculture +Caatinga,BAHIA,Jeremoabo,26.49,2021,agriculture +Mata Atlântica,BAHIA,Mascote,6.66,2021,agriculture +Mata Atlântica,BAHIA,Ipiaú,6.49,2021,agriculture +Caatinga,BAHIA,Angical,5.89,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,7.47,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.48,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,2.33,2021,others +Caatinga,BAHIA,Riacho de Santana,2.93,2021,others +Caatinga,BAHIA,Tanhaçu,16.42,2021,agriculture +Caatinga,BAHIA,Malhada,0.73,2021,agriculture +Caatinga,BAHIA,Coribe,11.58,2021,others +Caatinga,BAHIA,Carinhanha,1.09,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,3.31,2021,agriculture +Mata Atlântica,BAHIA,Barra do Choça,0.37,2021,urban_expansion +Mata Atlântica,BAHIA,Vitória da Conquista,0.73,2021,urban_expansion +Mata Atlântica,BAHIA,Planalto,0.83,2021,agriculture +Mata Atlântica,BAHIA,Itapetinga,33.17,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,3.74,2021,agriculture +Caatinga,BAHIA,Utinga,4.24,2021,agriculture +Caatinga,BAHIA,Brejolândia,17.23,2021,agriculture +Mata Atlântica,BAHIA,Iguaí,4.9,2021,agriculture +Mata Atlântica,BAHIA,Jaguaquara,10.47,2021,agriculture +Cerrado,BAHIA,Caetité,0.55,2021,agriculture +Mata Atlântica,BAHIA,Lafaiete Coutinho,12.2,2021,agriculture +Caatinga,BAHIA,Mansidão,1.19,2021,agriculture +Caatinga,BAHIA,Buritirama,1.04,2021,agriculture +Caatinga,BAHIA,Buritirama,5.09,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,4.88,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,7.17,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.9,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.23,2021,agriculture +Caatinga,BAHIA,Buritirama,1.35,2021,agriculture +Caatinga,BAHIA,Sento Sé,11.12,2021,agriculture +Caatinga,BAHIA,Juazeiro,21.85,2021,agriculture +Caatinga,BAHIA,Angical,37.56,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,6.28,2021,agriculture +Caatinga,BAHIA,Jeremoabo,69.14,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,20.46,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,10.68,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,13.6,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,1.33,2021,others +Caatinga,BAHIA,Muquém do São Francisco,0.39,2021,others +Caatinga,BAHIA,Brejolândia,5.78,2021,others +Caatinga,BAHIA,Barra,4.24,2021,others +Caatinga,BAHIA,Oliveira dos Brejinhos,5.78,2021,agriculture +Caatinga,BAHIA,Abaíra,4.1,2021,others +Caatinga,BAHIA,Anagé,7.16,2021,others +Mata Atlântica,BAHIA,Água Fria,203.69,2021,urban_expansion +Cerrado,BAHIA,Mansidão,2.23,2021,agriculture +Caatinga,BAHIA,Ribeira do Pombal,9.17,2021,others +Caatinga,BAHIA,Oliveira dos Brejinhos,3.77,2021,agriculture +Caatinga,BAHIA,Macaúbas,13.85,2021,agriculture +Caatinga,BAHIA,Carinhanha,2.5,2021,others +Caatinga,BAHIA,Palmas de Monte Alto,0.74,2021,others +Caatinga,BAHIA,Canudos,1.93,2021,others +Cerrado,BAHIA,Tabocas do Brejo Velho,5.53,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.94,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,9.21,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,46.65,2021,agriculture +Caatinga,BAHIA,Ituaçu,4.3,2021,agriculture +Cerrado,BAHIA,Baianópolis,1.2,2021,agriculture +Caatinga,BAHIA,Brumado,4.3,2021,agriculture +Mata Atlântica,BAHIA,Jequié,0.82,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,27.0,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,0.35,2022,agriculture +Mata Atlântica,BAHIA,Caravelas,3.52,2022,agriculture +Mata Atlântica,BAHIA,Iguaí,4.87,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,3.41,2022,agriculture +Mata Atlântica,BAHIA,Itororó,0.15,2022,agriculture +Cerrado,BAHIA,Jaborandi,1457.14,2022,agriculture +Cerrado,BAHIA,São Desidério,12.01,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.97,2022,others +Caatinga,BAHIA,Remanso,1.9,2022,agriculture +Mata Atlântica,BAHIA,Rio Real,2.67,2022,agriculture +Mata Atlântica,BAHIA,Pau Brasil,16.07,2022,agriculture +Caatinga,BAHIA,Matina,3.79,2022,agriculture +Caatinga,BAHIA,Iaçu,1.99,2022,others +Caatinga,BAHIA,Itapicuru,9.77,2022,others +Caatinga,BAHIA,Cotegipe,21.29,2022,others +Caatinga,BAHIA,Boquira,3.49,2022,agriculture +Caatinga,BAHIA,Ibipitanga,14.09,2022,others +Caatinga,BAHIA,Novo Triunfo,11.92,2022,others +Cerrado,BAHIA,Caetité,0.38,2022,agriculture +Caatinga,BAHIA,Piatã,0.21,2022,agriculture +Caatinga,BAHIA,Coronel João Sá,5.8,2022,agriculture +Caatinga,BAHIA,Serrolândia,32.32,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,0.29,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,11.16,2022,others +Caatinga,BAHIA,Paratinga,5.18,2022,agriculture +Cerrado,BAHIA,Igaporã,0.46,2022,agriculture +Caatinga,BAHIA,Jeremoabo,22.84,2022,agriculture +Caatinga,BAHIA,Glória,1.13,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.68,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,0.72,2022,agriculture +Caatinga,BAHIA,Sento Sé,2.66,2022,others +Caatinga,BAHIA,Matina,16.26,2022,agriculture +Caatinga,BAHIA,Marcionílio Souza,4.41,2022,others +Cerrado,BAHIA,Riachão das Neves,10.95,2022,agriculture +Caatinga,BAHIA,Sátiro Dias,18.02,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,3.25,2022,agriculture +Caatinga,BAHIA,Itaberaba,7.3,2022,agriculture +Caatinga,BAHIA,Paripiranga,0.92,2022,agriculture +Mata Atlântica,BAHIA,Canavieiras,3.76,2022,agriculture +Cerrado,BAHIA,Barreiras,490.32,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.31,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,2.51,2022,agriculture +Mata Atlântica,BAHIA,São Sebastião do Passé,0.47,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.61,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.79,2022,agriculture +Caatinga,BAHIA,Ribeira do Pombal,29.7,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,3.3,2022,others +Caatinga,BAHIA,Miguel Calmon,24.22,2022,others +Caatinga,BAHIA,Gentio do Ouro,1.31,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,6.25,2022,others +Caatinga,BAHIA,Casa Nova,6.64,2022,others 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+Caatinga,BAHIA,Condeúba,1.83,2022,others +Caatinga,BAHIA,Cordeiros,2.3,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.0,2022,agriculture +Caatinga,BAHIA,Carinhanha,6.36,2022,others +Mata Atlântica,BAHIA,Ituberá,2.08,2022,agriculture +Mata Atlântica,BAHIA,Igrapiúna,1.12,2022,agriculture +Mata Atlântica,BAHIA,Porto Seguro,0.68,2022,agriculture +Mata Atlântica,BAHIA,Una,0.79,2022,agriculture +Mata Atlântica,BAHIA,Castro Alves,3.32,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.72,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,12.29,2022,others +Mata Atlântica,BAHIA,Itapé,9.75,2019,agriculture +Caatinga,BAHIA,Jeremoabo,109.54,2019,agriculture +Caatinga,BAHIA,Feira da Mata,78.3,2019,agriculture +Cerrado,BAHIA,São Desidério,14.77,2019,agriculture +Caatinga,BAHIA,Santana,26.95,2019,agriculture +Caatinga,BAHIA,Cocos,3.4,2019,agriculture +Mata Atlântica,BAHIA,Itagibá,4.24,2019,agriculture +Mata Atlântica,BAHIA,Ituberá,1.37,2019,agriculture +Mata Atlântica,BAHIA,Ituberá,7.52,2019,urban_expansion +Caatinga,BAHIA,Angical,5.83,2019,agriculture +Caatinga,BAHIA,Carinhanha,23.48,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,128.43,2019,agriculture +Caatinga,BAHIA,Wanderley,30.18,2019,agriculture +Cerrado,BAHIA,Cristópolis,17.95,2019,agriculture +Cerrado,BAHIA,Baianópolis,11.71,2019,agriculture +Caatinga,BAHIA,Wanderley,7.38,2019,agriculture +Caatinga,BAHIA,Feira da Mata,25.84,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,624.93,2019,agriculture +Cerrado,BAHIA,Correntina,2.17,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,25.23,2019,agriculture +Cerrado,BAHIA,Jaborandi,109.17,2019,agriculture +Cerrado,BAHIA,Baianópolis,1.76,2019,agriculture +Caatinga,BAHIA,São Félix do Coribe,24.82,2019,agriculture +Cerrado,BAHIA,Baianópolis,6.93,2019,agriculture +Caatinga,BAHIA,Serra do Ramalho,22.02,2019,agriculture +Cerrado,BAHIA,Baianópolis,5.49,2019,agriculture +Cerrado,BAHIA,Baianópolis,1.91,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,13.25,2019,agriculture +Caatinga,BAHIA,Wanderley,12.61,2019,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,1.71,2019,agriculture +Mata Atlântica,BAHIA,Conde,12.98,2019,agriculture +Mata Atlântica,BAHIA,Itapebi,8.58,2019,agriculture +Mata Atlântica,BAHIA,Entre Rios,1.72,2019,agriculture +Mata Atlântica,BAHIA,Una,12.42,2019,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,1.28,2019,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,2.8,2019,agriculture +Mata Atlântica,BAHIA,Terra Nova,3.51,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,6.21,2019,agriculture +Mata Atlântica,BAHIA,Entre Rios,11.28,2019,agriculture +Mata Atlântica,BAHIA,Ilhéus,6.73,2019,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,10.52,2020,agriculture +Cerrado,BAHIA,Correntina,291.79,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,21.65,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.02,2020,agriculture +Caatinga,BAHIA,Buritirama,5.84,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,17.27,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,33.22,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,387.69,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,4.35,2020,agriculture +Mata Atlântica,BAHIA,São Sebastião do Passé,14.5,2020,agriculture +Caatinga,BAHIA,Canudos,8.55,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.06,2020,agriculture +Mata Atlântica,BAHIA,Jaguaripe,12.44,2020,agriculture +Mata Atlântica,BAHIA,Camamu,5.51,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,12.81,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.23,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,1.53,2020,agriculture +Mata Atlântica,BAHIA,Igrapiúna,1.11,2020,agriculture +Mata Atlântica,BAHIA,Teolândia,1.06,2020,agriculture +Mata Atlântica,BAHIA,Itapé,7.55,2020,agriculture +Mata Atlântica,BAHIA,Barro Preto,15.04,2020,agriculture +Mata Atlântica,BAHIA,Apuarema,5.78,2020,agriculture +Caatinga,BAHIA,Bonito,9.15,2020,agriculture +Caatinga,BAHIA,Buritirama,3.78,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,0.89,2020,agriculture +Cerrado,BAHIA,Correntina,92.38,2020,agriculture +Cerrado,BAHIA,Barreiras,777.83,2020,agriculture +Cerrado,BAHIA,São Desidério,155.32,2020,agriculture +Caatinga,BAHIA,Sátiro Dias,81.29,2020,agriculture +Caatinga,BAHIA,Caculé,10.01,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,46.6,2020,agriculture +Cerrado,BAHIA,Jaborandi,4.73,2020,agriculture +Cerrado,BAHIA,Baianópolis,169.81,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,4.75,2020,agriculture +Caatinga,BAHIA,Carinhanha,6.61,2020,agriculture +Caatinga,BAHIA,Ibitiara,1.2,2020,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,2.54,2020,agriculture +Mata Atlântica,BAHIA,Valença,0.99,2020,agriculture +Mata Atlântica,BAHIA,Gandu,1.1,2020,agriculture +Mata Atlântica,BAHIA,Conde,2.21,2020,agriculture +Cerrado,BAHIA,São Desidério,45.4,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,115.82,2020,agriculture +Cerrado,BAHIA,Baianópolis,250.93,2020,agriculture +Cerrado,BAHIA,Baianópolis,20.28,2020,agriculture +Cerrado,BAHIA,Barreiras,18.65,2020,agriculture +Caatinga,BAHIA,Itaeté,7.06,2020,agriculture +Caatinga,BAHIA,Ibicoara,2.87,2020,agriculture +Cerrado,BAHIA,Cristópolis,99.79,2020,agriculture +Caatinga,BAHIA,Tremedal,20.15,2020,agriculture +Cerrado,BAHIA,Baianópolis,34.1,2020,agriculture +Cerrado,BAHIA,Baianópolis,10.53,2020,agriculture +Caatinga,BAHIA,Carinhanha,5.57,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,7.93,2020,agriculture +Caatinga,BAHIA,Serra Dourada,31.33,2020,agriculture +Caatinga,BAHIA,Serra Dourada,9.86,2020,agriculture +Caatinga,BAHIA,Correntina,11.82,2020,agriculture +Cerrado,BAHIA,Baianópolis,183.28,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,7.79,2020,agriculture +Caatinga,BAHIA,Paramirim,5.27,2020,agriculture +Cerrado,BAHIA,Serra Dourada,16.61,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,26.38,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,13.07,2020,agriculture +Caatinga,BAHIA,Paramirim,4.68,2020,agriculture +Caatinga,BAHIA,Brumado,5.61,2020,agriculture +Caatinga,BAHIA,Tanque Novo,5.27,2020,agriculture +Caatinga,BAHIA,Bonito,8.45,2020,agriculture +Caatinga,BAHIA,Boninal,9.02,2020,agriculture +Mata Atlântica,BAHIA,Nova Itarana,6.67,2020,agriculture +Caatinga,BAHIA,Boninal,6.19,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,5.92,2020,agriculture +Caatinga,BAHIA,Caturama,0.89,2020,agriculture +Cerrado,BAHIA,Jaborandi,3.26,2020,agriculture +Caatinga,BAHIA,Carinhanha,8.36,2020,agriculture +Caatinga,BAHIA,Wanderley,25.46,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,10.29,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,8.53,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,0.35,2020,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,7.02,2020,agriculture +Mata Atlântica,BAHIA,Arataca,3.15,2020,agriculture +Mata Atlântica,BAHIA,Dário Meira,7.17,2020,agriculture +Caatinga,BAHIA,Angical,6.05,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,10.23,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,12.2,2020,agriculture +Mata Atlântica,BAHIA,Valença,2.29,2020,agriculture +Caatinga,BAHIA,Utinga,7.75,2020,agriculture +Cerrado,BAHIA,São Desidério,7.14,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,103.73,2020,agriculture +Caatinga,BAHIA,Angical,15.3,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,11.66,2020,agriculture +Cerrado,BAHIA,Cocos,4.3,2020,agriculture +Caatinga,BAHIA,Correntina,2.4,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,10.54,2020,agriculture +Mata Atlântica,BAHIA,Caatiba,15.87,2020,agriculture +Caatinga,BAHIA,Santanópolis,1.95,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.75,2020,agriculture +Caatinga,BAHIA,São Gabriel,25.67,2020,agriculture +Caatinga,BAHIA,Brumado,3.6,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,16.13,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.75,2020,agriculture +Mata Atlântica,BAHIA,Mascote,1.62,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,4.76,2020,agriculture +Mata Atlântica,BAHIA,Caravelas,5.05,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,51.05,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.63,2020,agriculture +Caatinga,BAHIA,Rio do Antônio,0.83,2020,agriculture +Caatinga,BAHIA,Brumado,24.17,2020,agriculture +Caatinga,BAHIA,Brumado,4.92,2020,agriculture +Caatinga,BAHIA,Ipecaetá,2.8,2020,agriculture +Caatinga,BAHIA,Paratinga,9.06,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,27.55,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,15.52,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,1.75,2020,agriculture +Caatinga,BAHIA,Ibipitanga,8.25,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,2.52,2020,agriculture +Caatinga,BAHIA,Barrocas,15.28,2020,agriculture +Mata Atlântica,BAHIA,Santo Estêvão,13.73,2020,agriculture +Caatinga,BAHIA,Buritirama,0.83,2020,agriculture +Cerrado,BAHIA,São Desidério,55.84,2020,agriculture +Mata Atlântica,BAHIA,Candeias,13.97,2020,others +Mata Atlântica,BAHIA,Jaguaripe,33.62,2020,agriculture +Caatinga,BAHIA,Miguel Calmon,3.68,2020,agriculture +Caatinga,BAHIA,Cotegipe,13.23,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,1.81,2021,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,3.96,2021,agriculture +Mata Atlântica,BAHIA,Taperoá,2.01,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,6.04,2021,agriculture +Mata Atlântica,BAHIA,Camamu,1.12,2021,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,3.23,2021,agriculture +Caatinga,BAHIA,Canudos,6.3,2021,agriculture +Caatinga,BAHIA,Sento Sé,18.95,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.5,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,8.7,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,7.56,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,11.21,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,5.0,2021,agriculture +Cerrado,BAHIA,Jaborandi,416.31,2021,agriculture +Caatinga,BAHIA,Angical,9.97,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,14.63,2021,agriculture +Caatinga,BAHIA,Cícero Dantas,44.64,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,3.01,2021,agriculture +Mata Atlântica,BAHIA,Mucuri,2.84,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.08,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,20.28,2021,agriculture +Cerrado,BAHIA,Barreiras,6.56,2021,agriculture +Cerrado,BAHIA,Cocos,2414.17,2021,agriculture +Caatinga,BAHIA,Wanderley,129.28,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,6.84,2021,agriculture +Caatinga,BAHIA,Wanderley,6.6,2021,agriculture +Mata Atlântica,BAHIA,Ipiaú,1.43,2021,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,18.47,2021,agriculture +Mata Atlântica,BAHIA,Uruçuca,2.18,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,63.68,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,7.06,2021,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,1.48,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,1.91,2021,agriculture +Caatinga,BAHIA,Barra,1.59,2021,agriculture +Cerrado,BAHIA,São Desidério,10.47,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,2.5,2021,agriculture +Caatinga,BAHIA,Ibipitanga,1.42,2021,agriculture +Caatinga,BAHIA,Paramirim,2.78,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,4.69,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,0.61,2021,agriculture +Caatinga,BAHIA,Boninal,2.45,2021,agriculture +Caatinga,BAHIA,Campo Formoso,0.83,2021,agriculture +Caatinga,BAHIA,Monte Santo,0.59,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,3.13,2021,agriculture +Caatinga,BAHIA,Cansanção,7.9,2021,agriculture +Cerrado,BAHIA,Correntina,1.59,2021,agriculture +Caatinga,BAHIA,Angical,7.09,2021,agriculture +Mata Atlântica,BAHIA,Anguera,4.57,2021,agriculture +Caatinga,BAHIA,Angical,6.7,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,12.58,2021,agriculture +Caatinga,BAHIA,Cícero Dantas,74.68,2021,agriculture +Caatinga,BAHIA,Ituaçu,10.63,2021,agriculture +Caatinga,BAHIA,Ribeira do Amparo,19.49,2021,agriculture +Caatinga,BAHIA,Nova Soure,5.76,2021,agriculture +Caatinga,BAHIA,Casa Nova,3.44,2021,agriculture +Caatinga,BAHIA,Feira da Mata,5.54,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,113.35,2021,agriculture +Cerrado,BAHIA,Catolândia,7.05,2021,agriculture +Mata Atlântica,BAHIA,Conde,3.64,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,12.06,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.19,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,10.8,2021,agriculture +Caatinga,BAHIA,Condeúba,15.05,2021,agriculture +Mata Atlântica,BAHIA,Belo Campo,24.63,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.04,2021,agriculture +Caatinga,BAHIA,Casa Nova,3.14,2021,agriculture +Caatinga,BAHIA,Feira da Mata,12.23,2021,agriculture +Cerrado,BAHIA,Barreiras,47.05,2021,agriculture +Caatinga,BAHIA,Rio do Pires,0.7,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,1.01,2021,others +Caatinga,BAHIA,Malhada de Pedras,2.18,2021,agriculture +Caatinga,BAHIA,Itapicuru,11.83,2021,others +Caatinga,BAHIA,Tucano,17.37,2021,others +Mata Atlântica,BAHIA,Entre Rios,1.46,2021,agriculture +Cerrado,BAHIA,Brejolândia,40.69,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.39,2020,agriculture +Cerrado,BAHIA,Barreiras,10.08,2020,agriculture +Cerrado,BAHIA,São Desidério,3.39,2020,agriculture +Cerrado,BAHIA,São Desidério,4.07,2020,agriculture +Caatinga,BAHIA,Angical,7.07,2020,agriculture +Caatinga,BAHIA,Barra,1.78,2020,others +Caatinga,BAHIA,Angical,3.23,2020,others +Caatinga,BAHIA,Barra,0.65,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,1.86,2020,others +Caatinga,BAHIA,Barra,1.6,2020,others +Caatinga,BAHIA,Serra do Ramalho,1.75,2020,agriculture +Caatinga,BAHIA,Malhada,6.32,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,2.1,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.98,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,3.8,2020,agriculture +Caatinga,BAHIA,Santana,5.46,2020,others +Caatinga,BAHIA,Santana,3.63,2020,agriculture +Caatinga,BAHIA,Canápolis,1.93,2020,agriculture +Caatinga,BAHIA,Serra Dourada,6.74,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,0.51,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,1.51,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,2.81,2020,agriculture +Caatinga,BAHIA,Carinhanha,5.99,2020,agriculture +Caatinga,BAHIA,Serra Dourada,4.16,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,0.86,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,6.26,2020,agriculture +Caatinga,BAHIA,Mansidão,2.7,2020,others +Caatinga,BAHIA,Buritirama,0.57,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.75,2020,agriculture +Caatinga,BAHIA,Pilão Arcado,0.76,2020,others +Caatinga,BAHIA,Angical,4.54,2020,others +Cerrado,BAHIA,Catolândia,3.41,2020,agriculture +Cerrado,BAHIA,Barreiras,3.76,2020,agriculture +Cerrado,BAHIA,Cocos,4.31,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.65,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.85,2020,agriculture +Caatinga,BAHIA,Cocos,5.3,2020,others +Cerrado,BAHIA,Coribe,2.33,2020,agriculture +Caatinga,BAHIA,Carinhanha,4.12,2020,agriculture +Caatinga,BAHIA,Carinhanha,2.48,2020,agriculture +Caatinga,BAHIA,Carinhanha,4.17,2020,agriculture +Caatinga,BAHIA,Feira da Mata,1.76,2020,agriculture +Caatinga,BAHIA,Carinhanha,0.66,2020,agriculture +Caatinga,BAHIA,Brejolândia,4.06,2020,agriculture +Caatinga,BAHIA,Casa Nova,9.1,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,2.74,2021,agriculture +Caatinga,BAHIA,Paramirim,1.7,2021,others +Caatinga,BAHIA,Correntina,2.94,2021,others +Caatinga,BAHIA,Riacho de Santana,60.26,2021,agriculture +Caatinga,BAHIA,Tapiramutá,2.29,2021,agriculture +Caatinga,BAHIA,Utinga,2.78,2021,agriculture +Caatinga,BAHIA,Morpará,3.54,2021,agriculture +Caatinga,BAHIA,Santa Brígida,4.01,2021,agriculture +Caatinga,BAHIA,Paramirim,1.59,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,12.85,2021,agriculture +Mata Atlântica,BAHIA,Camaçari,4.86,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,18.54,2021,agriculture +Caatinga,BAHIA,Sento Sé,5.48,2021,agriculture +Caatinga,BAHIA,Canudos,2.21,2021,others +Caatinga,BAHIA,Jeremoabo,0.44,2021,others +Caatinga,BAHIA,Canudos,0.38,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,4.97,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,3.61,2021,agriculture +Cerrado,BAHIA,Barreiras,20.72,2021,agriculture +Cerrado,BAHIA,Barreiras,51.45,2021,agriculture +Caatinga,BAHIA,Ibipitanga,1.15,2021,agriculture +Caatinga,BAHIA,Ituaçu,3.55,2021,agriculture +Caatinga,BAHIA,Boninal,2.75,2021,agriculture +Caatinga,BAHIA,Wanderley,143.68,2021,others +Caatinga,BAHIA,Serra do Ramalho,3.08,2021,others +Caatinga,BAHIA,Belo Campo,31.92,2021,others +Cerrado,BAHIA,Riachão das Neves,10.02,2021,agriculture +Caatinga,BAHIA,Jacaraci,5.42,2021,others +Caatinga,BAHIA,Lagoa Real,0.93,2021,agriculture +Caatinga,BAHIA,Ourolândia,6.82,2021,agriculture +Caatinga,BAHIA,Monte Santo,10.83,2021,others +Mata Atlântica,BAHIA,Ipiaú,7.89,2021,agriculture +Cerrado,BAHIA,São Desidério,26.81,2021,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,3.5,2021,agriculture +Caatinga,BAHIA,Antônio Gonçalves,10.8,2021,others +Caatinga,BAHIA,Angical,3.41,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,2.38,2021,others +Caatinga,BAHIA,Bom Jesus da Lapa,0.88,2021,agriculture +Caatinga,BAHIA,Ituaçu,5.12,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,18.02,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,2.57,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,3.83,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.34,2021,urban_expansion +Mata Atlântica,BAHIA,Ribeirão do Largo,4.17,2021,agriculture +Mata Atlântica,BAHIA,Macarani,1.68,2021,agriculture +Caatinga,BAHIA,Boquira,6.49,2021,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,1.52,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,2.71,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,5.48,2021,agriculture +Caatinga,BAHIA,Monte Santo,13.21,2021,others +Caatinga,BAHIA,Monte Santo,9.76,2021,others +Mata Atlântica,BAHIA,Aporá,6.28,2021,agriculture +Caatinga,BAHIA,Contendas do Sincorá,51.05,2021,agriculture +Caatinga,BAHIA,Jequié,26.42,2021,agriculture +Caatinga,BAHIA,Mansidão,3.17,2021,agriculture +Caatinga,BAHIA,Mansidão,2.07,2021,agriculture +Caatinga,BAHIA,Buritirama,5.35,2021,agriculture +Caatinga,BAHIA,Buritirama,3.77,2021,agriculture +Caatinga,BAHIA,Sento Sé,0.59,2021,agriculture +Caatinga,BAHIA,Angical,98.71,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.86,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,3.13,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,4.06,2021,agriculture +Caatinga,BAHIA,Angical,4.65,2021,others +Caatinga,BAHIA,Sítio do Quinto,0.23,2021,others +Caatinga,BAHIA,Jeremoabo,165.22,2021,agriculture +Caatinga,BAHIA,Paratinga,1.63,2021,others +Caatinga,BAHIA,Santana,23.74,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,81.91,2021,agriculture +Cerrado,BAHIA,Baianópolis,19.56,2021,agriculture +Caatinga,BAHIA,Malhada,12.18,2021,others +Cerrado,BAHIA,Riachão das Neves,20.96,2021,agriculture +Caatinga,BAHIA,Wanderley,39.94,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,0.71,2021,others +Caatinga,BAHIA,Guajeru,6.13,2021,others +Caatinga,BAHIA,Boninal,0.53,2021,others +Caatinga,BAHIA,Piatã,1.13,2021,agriculture +Caatinga,BAHIA,Poções,2.06,2021,others +Caatinga,BAHIA,Andorinha,22.65,2021,others +Caatinga,BAHIA,Euclides da Cunha,43.9,2021,agriculture +Caatinga,BAHIA,Santa Brígida,18.91,2021,agriculture +Caatinga,BAHIA,Mirangaba,26.95,2021,agriculture +Caatinga,BAHIA,Serra Dourada,65.06,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,29.29,2021,agriculture +Caatinga,BAHIA,Carinhanha,60.94,2021,others +Caatinga,BAHIA,Feira da Mata,17.8,2021,agriculture +Mata Atlântica,BAHIA,São Sebastião do Passé,11.98,2021,agriculture +Mata Atlântica,BAHIA,Barro Preto,0.83,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.72,2021,agriculture +Caatinga,BAHIA,Angical,6.66,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,9.3,2021,agriculture +Caatinga,BAHIA,Iaçu,18.05,2021,agriculture +Caatinga,BAHIA,Cotegipe,5.12,2021,agriculture +Mata Atlântica,BAHIA,Itororó,3.27,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.62,2022,urban_expansion +Mata Atlântica,BAHIA,Jucuruçu,3.73,2022,agriculture +Mata Atlântica,BAHIA,Jitaúna,0.48,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,14.34,2022,agriculture +Mata Atlântica,BAHIA,Maracás,19.54,2022,agriculture +Mata Atlântica,BAHIA,Prado,1.38,2022,agriculture +Mata Atlântica,BAHIA,Itarantim,4.82,2022,agriculture +Mata Atlântica,BAHIA,Itagi,1.25,2022,agriculture +Mata Atlântica,BAHIA,Itapetinga,1.21,2022,agriculture +Cerrado,BAHIA,Barreiras,337.11,2022,agriculture +Cerrado,BAHIA,Jaborandi,82.7,2022,agriculture +Cerrado,BAHIA,São Desidério,65.45,2022,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,12.21,2022,agriculture +Caatinga,BAHIA,Remanso,4.29,2022,agriculture +Caatinga,BAHIA,Ibotirama,22.15,2022,agriculture +Cerrado,BAHIA,Correntina,1174.8,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,10.14,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,25.31,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,20.4,2022,agriculture +Cerrado,BAHIA,Igaporã,2.19,2022,agriculture +Cerrado,BAHIA,Igaporã,1.56,2022,agriculture +Caatinga,BAHIA,Filadélfia,23.15,2022,others +Caatinga,BAHIA,Macaúbas,1.12,2022,agriculture +Caatinga,BAHIA,Campo Formoso,2.59,2022,agriculture +Cerrado,BAHIA,Tanque Novo,0.83,2022,agriculture +Caatinga,BAHIA,Matina,5.37,2022,others +Caatinga,BAHIA,Igaporã,2.2,2022,others +Caatinga,BAHIA,Pedro Alexandre,2.24,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,10.22,2022,agriculture +Caatinga,BAHIA,Matina,3.86,2022,others +Caatinga,BAHIA,Paratinga,3.1,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,0.58,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,6.46,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,86.1,2022,agriculture +Cerrado,BAHIA,Jaborandi,105.93,2022,agriculture +Mata Atlântica,BAHIA,Pedrão,0.84,2022,agriculture +Mata Atlântica,BAHIA,Cardeal da Silva,1.53,2022,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,0.96,2022,agriculture +Mata Atlântica,BAHIA,Cachoeira,0.57,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,0.89,2022,agriculture +Caatinga,BAHIA,São Gabriel,2.41,2022,agriculture +Cerrado,BAHIA,Catolândia,4.4,2022,agriculture +Cerrado,BAHIA,Jaborandi,9.88,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,5.8,2022,agriculture +Caatinga,BAHIA,Brumado,1.69,2022,others +Caatinga,BAHIA,Souto Soares,1.41,2022,others +Cerrado,BAHIA,Barreiras,2.08,2022,agriculture +Caatinga,BAHIA,Sobradinho,1.73,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,19.92,2022,agriculture +Caatinga,BAHIA,Paratinga,5.37,2022,others +Caatinga,BAHIA,Jeremoabo,4.99,2022,others +Caatinga,BAHIA,Itapicuru,10.29,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,11.13,2022,agriculture +Cerrado,BAHIA,Caetité,1.38,2022,agriculture +Caatinga,BAHIA,Jeremoabo,15.85,2022,others +Caatinga,BAHIA,Wanderley,120.15,2022,agriculture +Caatinga,BAHIA,Coronel João Sá,17.4,2022,others +Caatinga,BAHIA,Antônio Gonçalves,3.8,2022,agriculture +Caatinga,BAHIA,Cícero Dantas,1.57,2022,others +Cerrado,BAHIA,Correntina,135.62,2022,agriculture +Caatinga,BAHIA,Buritirama,3.21,2022,others +Caatinga,BAHIA,Aracatu,0.62,2022,others +Caatinga,BAHIA,Buritirama,1.28,2022,others +Cerrado,BAHIA,Macaúbas,0.54,2022,agriculture +Caatinga,BAHIA,Marcionílio Souza,11.05,2022,others +Cerrado,BAHIA,Coribe,3.27,2022,agriculture +Caatinga,BAHIA,Carinhanha,7.57,2022,others +Caatinga,BAHIA,Riacho de Santana,23.17,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,1.77,2022,others +Caatinga,BAHIA,Carinhanha,1.95,2022,others +Caatinga,BAHIA,Feira da Mata,4.87,2022,others +Caatinga,BAHIA,Feira da Mata,15.49,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.68,2022,agriculture +Mata Atlântica,BAHIA,Rio Real,16.82,2022,agriculture +Mata Atlântica,BAHIA,Planalto,0.23,2022,urban_expansion +Mata Atlântica,BAHIA,Itiruçu,4.2,2022,agriculture +Mata Atlântica,BAHIA,Una,6.28,2022,agriculture +Mata Atlântica,BAHIA,Gandu,1.8,2022,agriculture +Mata Atlântica,BAHIA,Brejões,7.08,2022,agriculture +Cerrado,BAHIA,Baianópolis,13.53,2022,agriculture +Mata Atlântica,BAHIA,Potiraguá,13.32,2019,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,2.29,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,27.4,2019,agriculture +Caatinga,BAHIA,São Félix do Coribe,16.66,2019,agriculture +Cerrado,BAHIA,Baianópolis,61.06,2019,agriculture +Mata Atlântica,BAHIA,Buerarema,2.6,2019,agriculture +Mata Atlântica,BAHIA,Itagibá,5.92,2019,agriculture +Caatinga,BAHIA,Coribe,24.61,2019,agriculture +Mata Atlântica,BAHIA,Itanagra,0.71,2019,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,5.66,2019,agriculture +Caatinga,BAHIA,Feira da Mata,24.44,2019,agriculture +Caatinga,BAHIA,Wanderley,58.4,2019,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,58.23,2019,agriculture +Mata Atlântica,BAHIA,Itajuípe,2.0,2019,agriculture +Caatinga,BAHIA,Bonito,3.21,2019,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,8.76,2019,agriculture +Caatinga,BAHIA,Utinga,1.25,2019,agriculture +Caatinga,BAHIA,Biritinga,27.17,2019,agriculture +Caatinga,BAHIA,Utinga,1.78,2019,agriculture +Caatinga,BAHIA,Lençóis,3.05,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,337.37,2019,agriculture +Cerrado,BAHIA,Barreiras,352.89,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,7.12,2019,agriculture +Cerrado,BAHIA,Baianópolis,24.01,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,166.5,2019,agriculture +Caatinga,BAHIA,Carinhanha,15.7,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,337.07,2019,agriculture +Caatinga,BAHIA,Cotegipe,11.87,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,31.83,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,339.17,2019,agriculture +Mata Atlântica,BAHIA,Ituberá,2.09,2019,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,1.4,2019,agriculture +Mata Atlântica,BAHIA,Cardeal da Silva,1.13,2019,agriculture +Mata Atlântica,BAHIA,Gongogi,52.95,2019,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,2.04,2019,agriculture +Mata Atlântica,BAHIA,Taperoá,5.94,2019,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,2.42,2019,agriculture +Mata Atlântica,BAHIA,Itiruçu,2.88,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,5.2,2019,agriculture +Mata Atlântica,BAHIA,Ituberá,1.08,2019,agriculture +Mata Atlântica,BAHIA,Camaçari,3.74,2019,urban_expansion +Cerrado,BAHIA,Jaborandi,4.34,2020,agriculture +Cerrado,BAHIA,São Desidério,270.41,2020,agriculture +Cerrado,BAHIA,Jaborandi,1403.39,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,188.72,2020,agriculture +Caatinga,BAHIA,Brejolândia,56.53,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,55.0,2020,agriculture +Mata Atlântica,BAHIA,Camaçari,3.43,2020,agriculture +Mata Atlântica,BAHIA,Araçás,28.26,2020,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,22.29,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,4.59,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,0.92,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.35,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,6.0,2020,agriculture +Mata Atlântica,BAHIA,Ipiaú,4.23,2020,agriculture +Caatinga,BAHIA,Iaçu,34.22,2020,agriculture +Caatinga,BAHIA,Mansidão,5.89,2020,agriculture +Caatinga,BAHIA,Barra,3.46,2020,agriculture +Cerrado,BAHIA,Cotegipe,5.44,2020,agriculture +Cerrado,BAHIA,Barreiras,19.88,2020,agriculture +Caatinga,BAHIA,Itapicuru,35.62,2020,agriculture +Caatinga,BAHIA,Mucugê,640.38,2020,agriculture +Caatinga,BAHIA,Canudos,6.32,2020,agriculture +Cerrado,BAHIA,Baianópolis,670.41,2020,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,3.73,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,16.87,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,2.35,2020,agriculture +Mata Atlântica,BAHIA,Itabela,13.58,2020,agriculture +Cerrado,BAHIA,Baianópolis,18.91,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,11.33,2020,agriculture +Cerrado,BAHIA,Baianópolis,2.26,2020,agriculture +Caatinga,BAHIA,Itaberaba,2.75,2020,agriculture +Caatinga,BAHIA,Carinhanha,8.2,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.36,2020,agriculture +Cerrado,BAHIA,Coribe,57.58,2020,agriculture +Cerrado,BAHIA,Caetité,1.91,2020,agriculture +Caatinga,BAHIA,Caculé,1.37,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,44.54,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,3.07,2020,agriculture +Caatinga,BAHIA,Paramirim,4.06,2020,agriculture +Cerrado,BAHIA,Barreiras,27.19,2020,agriculture +Caatinga,BAHIA,Ibicoara,41.03,2020,agriculture +Caatinga,BAHIA,Carinhanha,42.44,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,11.03,2020,agriculture +Cerrado,BAHIA,Catolândia,3.67,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,31.76,2020,agriculture +Caatinga,BAHIA,Coronel João Sá,11.02,2020,agriculture +Caatinga,BAHIA,Brumado,53.05,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.33,2020,agriculture +Caatinga,BAHIA,Mundo Novo,20.27,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,6.11,2020,agriculture +Caatinga,BAHIA,Cocos,5.18,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.03,2020,agriculture +Caatinga,BAHIA,Botuporã,3.46,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,5.88,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,20.49,2020,agriculture +Caatinga,BAHIA,Iaçu,4.28,2020,agriculture +Mata Atlântica,BAHIA,Itambé,26.13,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,15.37,2020,agriculture +Cerrado,BAHIA,Baianópolis,4.77,2020,agriculture +Cerrado,BAHIA,Cotegipe,3.64,2020,agriculture +Caatinga,BAHIA,Barrocas,24.13,2020,agriculture +Caatinga,BAHIA,Santanópolis,2.68,2020,agriculture +Caatinga,BAHIA,Ituaçu,1.41,2020,agriculture +Caatinga,BAHIA,Itaeté,5.14,2020,agriculture +Caatinga,BAHIA,Aracatu,9.72,2020,agriculture +Mata Atlântica,BAHIA,Itaquara,9.6,2020,agriculture +Caatinga,BAHIA,Angical,6.54,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,0.71,2020,agriculture +Mata Atlântica,BAHIA,Camamu,1.72,2020,agriculture +Mata Atlântica,BAHIA,Camamu,1.85,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,1.62,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,4.51,2020,agriculture +Mata Atlântica,BAHIA,Dário Meira,24.69,2020,agriculture +Caatinga,BAHIA,Urandi,1.4,2020,agriculture +Caatinga,BAHIA,Rio do Antônio,1.79,2020,agriculture +Caatinga,BAHIA,Ituaçu,5.06,2020,agriculture +Caatinga,BAHIA,Urandi,4.97,2020,agriculture +Cerrado,BAHIA,Cristópolis,6.2,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,1.87,2020,agriculture +Cerrado,BAHIA,Caetité,2.44,2020,agriculture +Caatinga,BAHIA,Ibipitanga,2.27,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,6.26,2020,agriculture +Caatinga,BAHIA,Serrinha,0.56,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,27.96,2020,agriculture +Caatinga,BAHIA,Caraíbas,13.8,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,2.54,2020,agriculture +Mata Atlântica,BAHIA,Tremedal,1.91,2020,agriculture +Caatinga,BAHIA,Barra,1.65,2020,agriculture +Caatinga,BAHIA,Mirante,16.1,2020,agriculture +Mata Atlântica,BAHIA,Jaguaquara,10.7,2020,agriculture +Caatinga,BAHIA,Piritiba,15.39,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,7.33,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,4.66,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,11.5,2021,agriculture +Mata Atlântica,BAHIA,Mascote,5.41,2021,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,4.03,2021,agriculture +Mata Atlântica,BAHIA,Camacan,17.46,2021,agriculture +Mata Atlântica,BAHIA,Itaju do Colônia,3.55,2021,agriculture +Mata Atlântica,BAHIA,Guaratinga,4.79,2021,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,55.74,2021,agriculture +Caatinga,BAHIA,Conceição do Coité,2.9,2021,agriculture +Caatinga,BAHIA,Jaborandi,10.95,2021,agriculture +Caatinga,BAHIA,Gentio do Ouro,0.83,2021,agriculture +Caatinga,BAHIA,Xique-Xique,12.54,2021,agriculture +Caatinga,BAHIA,Nova Redenção,4.48,2021,agriculture +Mata Atlântica,BAHIA,Jiquiriçá,0.6,2021,agriculture +Caatinga,BAHIA,Feira de Santana,52.29,2021,agriculture +Caatinga,BAHIA,Casa Nova,6.71,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,38.58,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,15.64,2021,agriculture +Caatinga,BAHIA,Cotegipe,62.11,2021,agriculture +Mata Atlântica,BAHIA,Feira de Santana,151.66,2021,agriculture +Cerrado,BAHIA,Urandi,2.79,2021,agriculture +Caatinga,BAHIA,Caetité,7.36,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,23.19,2021,agriculture +Caatinga,BAHIA,Paratinga,2.52,2021,agriculture +Mata Atlântica,BAHIA,Irará,6.26,2021,agriculture +Cerrado,BAHIA,São Desidério,241.81,2021,agriculture +Cerrado,BAHIA,Correntina,361.32,2021,agriculture +Caatinga,BAHIA,Cocos,18.49,2021,agriculture +Mata Atlântica,BAHIA,Camamu,1.37,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,10.97,2021,agriculture +Mata Atlântica,BAHIA,Caatiba,7.57,2021,agriculture +Caatinga,BAHIA,Itaberaba,8.06,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,7.53,2021,agriculture +Caatinga,BAHIA,Utinga,2.22,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.11,2021,agriculture +Mata Atlântica,BAHIA,Igrapiúna,1.68,2021,agriculture +Mata Atlântica,BAHIA,Valença,1.41,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,4.15,2021,agriculture +Caatinga,BAHIA,Jacobina,24.83,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,130.16,2021,agriculture +Cerrado,BAHIA,Macaúbas,5.42,2021,agriculture +Caatinga,BAHIA,Jussara,2.66,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,5.97,2021,agriculture +Caatinga,BAHIA,Guajeru,0.58,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,1.36,2021,agriculture +Cerrado,BAHIA,Correntina,10.15,2021,agriculture +Caatinga,BAHIA,Monte Santo,1.94,2021,agriculture +Caatinga,BAHIA,Rafael Jambeiro,1.76,2021,agriculture +Cerrado,BAHIA,Cristópolis,3.34,2021,agriculture +Cerrado,BAHIA,Baianópolis,5.78,2021,agriculture +Cerrado,BAHIA,São Desidério,9.74,2021,agriculture +Caatinga,BAHIA,Rio de Contas,0.5,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,1.53,2021,agriculture +Caatinga,BAHIA,Wagner,12.1,2021,agriculture +Caatinga,BAHIA,Jacobina,6.15,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,3.27,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1241.5,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,24.65,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,11.92,2021,agriculture +Caatinga,BAHIA,Itaeté,13.03,2021,agriculture +Cerrado,BAHIA,Barreiras,101.18,2021,agriculture +Caatinga,BAHIA,Cícero Dantas,5.78,2021,agriculture +Caatinga,BAHIA,Carinhanha,7.42,2021,agriculture +Mata Atlântica,BAHIA,São José da Vitória,4.54,2021,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,3.61,2021,agriculture +Caatinga,BAHIA,Brejolândia,3.87,2020,others +Cerrado,BAHIA,São Desidério,4.76,2020,agriculture +Caatinga,BAHIA,Barra,3.85,2020,agriculture +Caatinga,BAHIA,Angical,1.37,2020,others +Caatinga,BAHIA,Muquém do São Francisco,1.01,2020,others +Caatinga,BAHIA,Barra,1.64,2020,others +Cerrado,BAHIA,Cristópolis,0.62,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.25,2020,agriculture +Caatinga,BAHIA,Wanderley,5.96,2020,agriculture +Cerrado,BAHIA,Cristópolis,15.96,2020,agriculture +Caatinga,BAHIA,Cotegipe,4.1,2020,others +Cerrado,BAHIA,Mansidão,1.45,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,1.68,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,9.23,2020,others +Caatinga,BAHIA,Palmas de Monte Alto,10.78,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,6.72,2020,agriculture +Caatinga,BAHIA,Serra Dourada,8.17,2020,others +Caatinga,BAHIA,Carinhanha,1.55,2020,urban_expansion +Caatinga,BAHIA,Serra do Ramalho,2.9,2020,agriculture +Cerrado,BAHIA,Catolândia,2.32,2020,agriculture +Cerrado,BAHIA,Cristópolis,4.31,2020,agriculture +Cerrado,BAHIA,Canápolis,11.83,2020,agriculture +Caatinga,BAHIA,Santana,4.81,2020,agriculture +Caatinga,BAHIA,Santana,1.97,2020,others +Caatinga,BAHIA,Santana,3.54,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,13.01,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,4.26,2020,agriculture +Cerrado,BAHIA,Jaborandi,2.24,2020,agriculture +Cerrado,BAHIA,Baianópolis,21.88,2020,agriculture +Cerrado,BAHIA,São Desidério,8.58,2020,agriculture +Cerrado,BAHIA,Correntina,1.37,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,0.85,2020,agriculture +Caatinga,BAHIA,Buritirama,1.76,2020,agriculture +Caatinga,BAHIA,Buritirama,1.31,2020,agriculture +Caatinga,BAHIA,Mansidão,2.51,2020,others +Caatinga,BAHIA,Mansidão,4.91,2020,others +Caatinga,BAHIA,Buritirama,2.37,2020,agriculture +Caatinga,BAHIA,Buritirama,4.67,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.7,2020,others +Caatinga,BAHIA,Buritirama,0.94,2020,agriculture +Caatinga,BAHIA,Pilão Arcado,0.48,2020,others +Cerrado,BAHIA,Formosa do Rio Preto,7.55,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,1.29,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.66,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.22,2020,agriculture +Cerrado,BAHIA,Barreiras,4.95,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,1.14,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.24,2020,agriculture +Caatinga,BAHIA,Carinhanha,0.68,2020,agriculture +Caatinga,BAHIA,Carinhanha,6.94,2020,agriculture +Caatinga,BAHIA,Carinhanha,2.25,2020,agriculture +Caatinga,BAHIA,Carinhanha,0.18,2020,agriculture +Caatinga,BAHIA,Ibotirama,2.61,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,8.55,2021,others +Cerrado,BAHIA,Formosa do Rio Preto,18.29,2021,agriculture +Mata Atlântica,BAHIA,Belo Campo,2.68,2021,agriculture +Caatinga,BAHIA,Vitória da Conquista,3.86,2021,mining +Caatinga,BAHIA,Bonito,1.05,2021,agriculture +Caatinga,BAHIA,América Dourada,3.17,2021,agriculture +Caatinga,BAHIA,Canudos,2.43,2021,agriculture +Caatinga,BAHIA,Malhada,13.87,2021,agriculture +Caatinga,BAHIA,Barra,1.0,2021,agriculture +Caatinga,BAHIA,Macaúbas,58.38,2021,agriculture +Caatinga,BAHIA,Sento Sé,6.91,2021,agriculture +Caatinga,BAHIA,Serrinha,7.28,2021,others +Cerrado,BAHIA,Caetité,0.92,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.78,2021,others +Caatinga,BAHIA,Cotegipe,41.08,2021,agriculture +Cerrado,BAHIA,Barreiras,143.81,2021,agriculture +Cerrado,BAHIA,Catolândia,1.63,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,75.01,2021,agriculture +Caatinga,BAHIA,Pedro Alexandre,6.65,2021,others +Caatinga,BAHIA,Jaborandi,13.72,2021,agriculture +Caatinga,BAHIA,Uauá,0.21,2021,agriculture +Cerrado,BAHIA,Barreiras,342.55,2021,agriculture +Mata Atlântica,BAHIA,Jucuruçu,4.88,2021,agriculture +Caatinga,BAHIA,Boninal,0.44,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,3.63,2021,others +Caatinga,BAHIA,Brumado,4.03,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,0.13,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,4.11,2021,agriculture +Caatinga,BAHIA,Ibicoara,49.91,2021,agriculture +Cerrado,BAHIA,Correntina,501.71,2021,agriculture +Mata Atlântica,BAHIA,Esplanada,3.55,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,31.28,2021,agriculture +Mata Atlântica,BAHIA,Aiquara,4.72,2021,agriculture +Cerrado,BAHIA,São Desidério,30.4,2021,agriculture +Mata Atlântica,BAHIA,Camaçari,2.36,2021,urban_expansion +Caatinga,BAHIA,Malhada,26.61,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,3.99,2021,agriculture +Caatinga,BAHIA,Itapicuru,48.41,2021,agriculture +Cerrado,BAHIA,Coribe,1.9,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,4.16,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,0.82,2021,agriculture +Mata Atlântica,BAHIA,Potiraguá,0.75,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,124.52,2021,agriculture +Mata Atlântica,BAHIA,Macarani,11.76,2021,agriculture +Cerrado,BAHIA,Coribe,30.26,2021,agriculture +Mata Atlântica,BAHIA,Itajuípe,2.13,2021,agriculture +Caatinga,BAHIA,Ipirá,5.29,2021,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,0.66,2021,agriculture +Caatinga,BAHIA,Ibicoara,2.57,2021,agriculture +Caatinga,BAHIA,Ibicoara,2.22,2021,agriculture +Caatinga,BAHIA,Cotegipe,14.07,2021,agriculture +Caatinga,BAHIA,Mansidão,2.87,2021,agriculture +Cerrado,BAHIA,São Desidério,150.96,2021,agriculture +Caatinga,BAHIA,Brejolândia,6.31,2021,agriculture +Caatinga,BAHIA,Santa Terezinha,14.79,2021,agriculture +Mata Atlântica,BAHIA,Caravelas,1.76,2021,agriculture +Caatinga,BAHIA,Condeúba,40.6,2021,agriculture +Caatinga,BAHIA,Caculé,21.16,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.33,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,0.27,2021,others +Caatinga,BAHIA,Iramaia,37.62,2021,others +Caatinga,BAHIA,Cotegipe,2.96,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,3.73,2021,agriculture +Caatinga,BAHIA,Buritirama,0.88,2021,agriculture +Caatinga,BAHIA,Barra,0.25,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.3,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,4.37,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,0.97,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.99,2021,agriculture +Caatinga,BAHIA,Brumado,0.76,2021,agriculture +Caatinga,BAHIA,Carinhanha,6.71,2021,others +Caatinga,BAHIA,Barra,6.0,2021,agriculture +Caatinga,BAHIA,Sobradinho,12.36,2021,agriculture +Caatinga,BAHIA,Malhada,4.94,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,8.75,2021,others +Cerrado,BAHIA,Caetité,3.37,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,1.15,2021,others +Caatinga,BAHIA,Guajeru,2.22,2021,agriculture +Caatinga,BAHIA,Casa Nova,6.86,2021,agriculture +Caatinga,BAHIA,Cansanção,11.88,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,1.94,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,12.12,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,21.29,2021,others +Caatinga,BAHIA,Itapicuru,17.6,2021,others +Mata Atlântica,BAHIA,Água Fria,2.97,2021,urban_expansion +Cerrado,BAHIA,Catolândia,10.29,2021,agriculture +Caatinga,BAHIA,Feira de Santana,1.44,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,11.74,2021,agriculture +Caatinga,BAHIA,Macaúbas,0.65,2021,agriculture +Caatinga,BAHIA,Guanambi,2.32,2021,others +Cerrado,BAHIA,Tabocas do Brejo Velho,220.01,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,5.48,2021,agriculture +Cerrado,BAHIA,Baianópolis,14.14,2021,agriculture +Cerrado,BAHIA,Barreiras,5.51,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.87,2021,agriculture +Mata Atlântica,BAHIA,Jitaúna,1.57,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,2.29,2021,agriculture +Cerrado,BAHIA,São Desidério,6.15,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.19,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,51.02,2021,agriculture +Mata Atlântica,BAHIA,Jucuruçu,25.47,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.76,2022,agriculture +Mata Atlântica,BAHIA,Barra do Choça,0.77,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,129.28,2022,agriculture +Caatinga,BAHIA,Feira da Mata,6.3,2022,agriculture +Caatinga,BAHIA,Condeúba,1.56,2022,agriculture +Caatinga,BAHIA,Brejolândia,3.98,2022,agriculture +Cerrado,BAHIA,Correntina,59.7,2022,agriculture +Mata Atlântica,BAHIA,Ubaíra,4.42,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,1064.31,2022,agriculture +Cerrado,BAHIA,Cocos,63.27,2022,agriculture +Caatinga,BAHIA,Casa Nova,1.08,2022,agriculture +Caatinga,BAHIA,Cansanção,2.07,2022,agriculture +Caatinga,BAHIA,Sátiro Dias,0.97,2022,others +Caatinga,BAHIA,Santaluz,10.05,2022,others +Caatinga,BAHIA,Olindina,8.48,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,16.97,2022,others +Caatinga,BAHIA,Paulo Afonso,10.01,2022,others +Caatinga,BAHIA,Nova Soure,16.79,2022,others +Caatinga,BAHIA,Campo Formoso,4.81,2022,others +Caatinga,BAHIA,Boninal,1.33,2022,others +Caatinga,BAHIA,Campo Formoso,20.34,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,4.38,2022,others +Caatinga,BAHIA,Miguel Calmon,24.96,2022,others +Caatinga,BAHIA,Itapicuru,13.38,2022,others +Cerrado,BAHIA,Igaporã,1.2,2022,agriculture +Caatinga,BAHIA,Campo Formoso,3.89,2022,agriculture +Caatinga,BAHIA,Ipirá,8.9,2022,others +Cerrado,BAHIA,Riachão das Neves,218.09,2022,agriculture +Mata Atlântica,BAHIA,Itabela,13.1,2022,agriculture +Mata Atlântica,BAHIA,Castro Alves,210.57,2022,agriculture +Mata Atlântica,BAHIA,Caatiba,1.01,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,0.72,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,8.65,2022,agriculture +Mata Atlântica,BAHIA,Água Fria,35.29,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.47,2022,agriculture +Mata Atlântica,BAHIA,Muniz Ferreira,0.92,2022,agriculture +Mata Atlântica,BAHIA,Santa Inês,1.34,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.68,2022,agriculture +Cerrado,BAHIA,Baianópolis,13.54,2022,agriculture +Caatinga,BAHIA,Riachão do Jacuípe,3.69,2022,others +Caatinga,BAHIA,Manoel Vitorino,44.9,2022,others +Caatinga,BAHIA,Pindobaçu,11.7,2022,others +Caatinga,BAHIA,Ibitiara,0.38,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,54.64,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,4.02,2022,agriculture +Cerrado,BAHIA,Cocos,1.39,2022,agriculture +Caatinga,BAHIA,Carinhanha,10.71,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,16.13,2022,others +Caatinga,BAHIA,Itaberaba,1.73,2022,others +Caatinga,BAHIA,Brotas de Macaúbas,7.42,2022,others +Caatinga,BAHIA,Saúde,16.38,2022,others +Cerrado,BAHIA,São Desidério,5.59,2022,agriculture +Caatinga,BAHIA,Érico Cardoso,19.17,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,9.04,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.05,2022,agriculture +Caatinga,BAHIA,Uauá,6.21,2022,others +Caatinga,BAHIA,Macaúbas,0.59,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,1.38,2022,others +Caatinga,BAHIA,Barra,4.35,2022,others +Caatinga,BAHIA,Buritirama,0.81,2022,others +Caatinga,BAHIA,Heliópolis,36.94,2022,agriculture +Caatinga,BAHIA,Sento Sé,10.64,2022,others +Caatinga,BAHIA,Uauá,4.0,2022,others +Caatinga,BAHIA,Uauá,2.8,2022,others +Caatinga,BAHIA,Glória,0.61,2022,others +Caatinga,BAHIA,Coronel João Sá,14.99,2022,others +Mata Atlântica,BAHIA,Valença,1.1,2022,agriculture +Mata Atlântica,BAHIA,Ituberá,1.02,2022,agriculture +Mata Atlântica,BAHIA,São Félix,8.95,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,7.34,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.61,2022,others +Cerrado,BAHIA,Cristópolis,8.85,2022,agriculture +Cerrado,BAHIA,São Desidério,379.74,2022,agriculture +Cerrado,BAHIA,Correntina,216.2,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,12.63,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,245.57,2019,agriculture +Cerrado,BAHIA,Jaborandi,698.01,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,5.99,2019,agriculture +Caatinga,BAHIA,São Félix do Coribe,9.88,2019,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,13.89,2019,agriculture +Caatinga,BAHIA,Santana,11.72,2019,agriculture +Cerrado,BAHIA,Jaborandi,156.01,2019,agriculture +Cerrado,BAHIA,Coribe,25.14,2019,agriculture +Mata Atlântica,BAHIA,Uruçuca,19.33,2019,agriculture +Mata Atlântica,BAHIA,Salvador,2.9,2019,urban_expansion +Cerrado,BAHIA,São Desidério,229.13,2019,agriculture +Caatinga,BAHIA,Utinga,8.6,2019,agriculture +Caatinga,BAHIA,Jacobina,2.7,2019,agriculture +Caatinga,BAHIA,Morro do Chapéu,16.34,2019,agriculture +Caatinga,BAHIA,Ibicoara,4.54,2019,agriculture +Cerrado,BAHIA,Baianópolis,15.65,2019,agriculture +Cerrado,BAHIA,Cristópolis,10.39,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,6.13,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.84,2019,agriculture +Caatinga,BAHIA,Wanderley,153.29,2019,agriculture +Caatinga,BAHIA,Wanderley,26.61,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,29.85,2019,agriculture +Caatinga,BAHIA,Malhada,17.6,2019,agriculture +Cerrado,BAHIA,Coribe,18.13,2019,agriculture +Caatinga,BAHIA,São Félix do Coribe,23.07,2019,agriculture +Mata Atlântica,BAHIA,Itacaré,2.11,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.23,2019,agriculture +Mata Atlântica,BAHIA,Itamaraju,7.47,2019,agriculture +Mata Atlântica,BAHIA,Itagibá,14.25,2019,agriculture +Mata Atlântica,BAHIA,Almadina,6.24,2019,agriculture +Mata Atlântica,BAHIA,Encruzilhada,2.88,2019,agriculture +Mata Atlântica,BAHIA,Ilhéus,2.53,2019,agriculture +Mata Atlântica,BAHIA,Caatiba,8.35,2019,agriculture +Mata Atlântica,BAHIA,Igrapiúna,1.21,2019,agriculture +Cerrado,BAHIA,Baianópolis,54.98,2020,agriculture +Cerrado,BAHIA,Barreiras,25.58,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,92.06,2020,agriculture +Cerrado,BAHIA,Cristópolis,9.21,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,5.83,2020,agriculture +Cerrado,BAHIA,São Desidério,1740.08,2020,agriculture +Cerrado,BAHIA,Cristópolis,4.1,2020,agriculture +Mata Atlântica,BAHIA,Valença,4.66,2020,agriculture +Mata Atlântica,BAHIA,Igrapiúna,3.12,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,1.75,2020,agriculture +Mata Atlântica,BAHIA,Prado,5.08,2020,agriculture +Mata Atlântica,BAHIA,Mascote,7.06,2020,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,1.14,2020,agriculture +Mata Atlântica,BAHIA,Itajuípe,2.41,2020,agriculture +Mata Atlântica,BAHIA,Jaguaquara,1.82,2020,agriculture +Mata Atlântica,BAHIA,Jucuruçu,6.95,2020,agriculture +Mata Atlântica,BAHIA,Itagi,0.77,2020,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,2.01,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,10.04,2020,agriculture +Cerrado,BAHIA,Catolândia,3.65,2020,agriculture +Caatinga,BAHIA,Dom Basílio,18.27,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,7.19,2020,agriculture +Caatinga,BAHIA,Botuporã,40.38,2020,agriculture +Caatinga,BAHIA,Jeremoabo,29.96,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,11.09,2020,agriculture +Caatinga,BAHIA,Cocos,10.65,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,9.05,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,6.41,2020,agriculture +Cerrado,BAHIA,São Desidério,15.26,2020,agriculture +Caatinga,BAHIA,Paratinga,1.44,2020,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,4.4,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,3.39,2020,urban_expansion +Mata Atlântica,BAHIA,Santa Luzia,1.95,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,10.75,2020,agriculture +Mata Atlântica,BAHIA,Jaguaquara,11.85,2020,agriculture +Mata Atlântica,BAHIA,Valença,5.83,2020,agriculture +Mata Atlântica,BAHIA,Itabuna,2.5,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,7.46,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,774.96,2020,agriculture +Cerrado,BAHIA,Barreiras,87.45,2020,agriculture +Cerrado,BAHIA,Coribe,115.87,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,5.88,2020,agriculture +Caatinga,BAHIA,Ituaçu,99.34,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,7.74,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,8.04,2020,agriculture +Caatinga,BAHIA,Jaborandi,5.23,2020,agriculture +Caatinga,BAHIA,Jacaraci,50.5,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,4.22,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,178.63,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,7.23,2020,agriculture +Caatinga,BAHIA,Jacaraci,3.1,2020,agriculture +Caatinga,BAHIA,Rio de Contas,1.9,2020,agriculture +Caatinga,BAHIA,Mucugê,158.74,2020,agriculture +Caatinga,BAHIA,Caetanos,5.72,2020,agriculture +Caatinga,BAHIA,Itatim,17.25,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,31.27,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,383.88,2020,agriculture +Caatinga,BAHIA,Ibitiara,2.5,2020,agriculture +Caatinga,BAHIA,Brejolândia,2.57,2020,agriculture +Cerrado,BAHIA,São Desidério,9.91,2020,agriculture +Caatinga,BAHIA,Iaçu,7.62,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,19.31,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,1.77,2020,agriculture +Mata Atlântica,BAHIA,Ibirataia,4.88,2020,agriculture +Cerrado,BAHIA,Barreiras,24.76,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,29.6,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,17.86,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,6.95,2020,agriculture +Caatinga,BAHIA,Ibotirama,7.11,2020,agriculture +Mata Atlântica,BAHIA,Itororó,4.93,2020,agriculture +Caatinga,BAHIA,Ipupiara,4.22,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,4.5,2020,agriculture +Caatinga,BAHIA,Carinhanha,15.37,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.95,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,7.47,2020,agriculture +Mata Atlântica,BAHIA,Santa Inês,2.56,2020,agriculture +Caatinga,BAHIA,Brejolândia,10.57,2020,agriculture +Caatinga,BAHIA,Aracatu,14.53,2020,agriculture +Caatinga,BAHIA,Ibipitanga,2.27,2020,agriculture +Caatinga,BAHIA,Barra,5.61,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,6.71,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,2.49,2020,agriculture +Caatinga,BAHIA,Buritirama,3.61,2020,agriculture +Caatinga,BAHIA,Serrinha,0.73,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.37,2020,agriculture +Caatinga,BAHIA,João Dourado,7.5,2020,agriculture +Caatinga,BAHIA,Itaeté,10.75,2020,agriculture +Caatinga,BAHIA,Aracatu,90.93,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,11.42,2020,urban_expansion +Cerrado,BAHIA,Santa Rita de Cássia,19.38,2020,agriculture +Mata Atlântica,BAHIA,Ubaitaba,5.04,2020,agriculture +Mata Atlântica,BAHIA,Itamari,3.9,2020,agriculture +Cerrado,BAHIA,Caetité,1.1,2020,agriculture +Cerrado,BAHIA,Lagoa Real,3.1,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.52,2020,agriculture +Caatinga,BAHIA,Brumado,11.5,2020,agriculture +Caatinga,BAHIA,Brumado,4.42,2020,agriculture +Caatinga,BAHIA,Ibipitanga,4.11,2020,agriculture +Caatinga,BAHIA,Boquira,7.19,2020,agriculture +Caatinga,BAHIA,Paratinga,3.96,2020,agriculture +Caatinga,BAHIA,Seabra,0.81,2020,agriculture +Caatinga,BAHIA,Tanhaçu,5.03,2020,agriculture +Caatinga,BAHIA,Guajeru,4.26,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,5.72,2020,agriculture +Caatinga,BAHIA,Guanambi,1.75,2020,agriculture +Mata Atlântica,BAHIA,Itapitanga,33.76,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,9.23,2021,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,0.98,2021,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,1.88,2021,agriculture +Mata Atlântica,BAHIA,Camacan,50.82,2021,agriculture +Mata Atlântica,BAHIA,Mutuípe,7.9,2021,agriculture +Mata Atlântica,BAHIA,Mutuípe,8.02,2021,agriculture +Mata Atlântica,BAHIA,Irajuba,17.58,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,6.79,2021,agriculture +Caatinga,BAHIA,Santaluz,62.68,2021,agriculture +Caatinga,BAHIA,Santa Bárbara,3.93,2021,agriculture +Caatinga,BAHIA,Vitória da Conquista,16.72,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,44.35,2021,agriculture +Mata Atlântica,BAHIA,Pojuca,5.27,2021,agriculture +Caatinga,BAHIA,Jacaraci,0.58,2021,agriculture +Caatinga,BAHIA,Matina,1.08,2021,agriculture +Caatinga,BAHIA,Casa Nova,1.05,2021,agriculture +Caatinga,BAHIA,Santaluz,4.54,2021,agriculture +Caatinga,BAHIA,Sátiro Dias,50.4,2021,agriculture +Caatinga,BAHIA,Angical,40.06,2021,agriculture +Caatinga,BAHIA,Wanderley,6.5,2021,agriculture +Mata Atlântica,BAHIA,Santo Amaro,2.58,2021,agriculture +Mata Atlântica,BAHIA,Itacaré,4.15,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,2.44,2021,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.07,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,1.65,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,18.81,2021,agriculture +Caatinga,BAHIA,Angical,11.76,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,28.15,2021,agriculture +Mata Atlântica,BAHIA,Valença,7.69,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,25.07,2021,agriculture +Mata Atlântica,BAHIA,Gongogi,36.34,2021,agriculture +Caatinga,BAHIA,Mundo Novo,20.65,2021,agriculture +Caatinga,BAHIA,Tapiramutá,10.46,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,0.37,2021,others +Caatinga,BAHIA,Piatã,0.25,2021,others +Cerrado,BAHIA,Barreiras,8.64,2021,agriculture +Caatinga,BAHIA,Brumado,1.18,2021,agriculture +Caatinga,BAHIA,Brumado,1.42,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,3.08,2021,agriculture +Caatinga,BAHIA,Angical,1.98,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,1.7,2021,agriculture +Cerrado,BAHIA,Baianópolis,17.18,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,0.89,2021,agriculture +Caatinga,BAHIA,Wagner,1.98,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.45,2021,agriculture +Caatinga,BAHIA,Rafael Jambeiro,27.78,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,2.12,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,7.86,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,2.72,2021,agriculture +Caatinga,BAHIA,Sento Sé,32.2,2021,mining +Cerrado,BAHIA,Formosa do Rio Preto,1954.57,2021,agriculture +Caatinga,BAHIA,Coribe,51.66,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,30.84,2021,agriculture +Caatinga,BAHIA,Cotegipe,23.34,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,25.45,2021,agriculture +Caatinga,BAHIA,Mortugaba,4.41,2021,agriculture +Caatinga,BAHIA,Belo Campo,5.87,2021,agriculture +Caatinga,BAHIA,Itatim,14.95,2021,agriculture +Caatinga,BAHIA,Angical,63.5,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,1.19,2021,others +Caatinga,BAHIA,Itapicuru,10.59,2021,others +Caatinga,BAHIA,Anagé,1.57,2021,agriculture +Caatinga,BAHIA,Cotegipe,7.53,2021,agriculture +Mata Atlântica,BAHIA,Taperoá,1.89,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,3.05,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,8.47,2021,agriculture +Mata Atlântica,BAHIA,Mucuri,7.28,2021,agriculture +Mata Atlântica,BAHIA,Tremedal,4.29,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,6.24,2021,agriculture +Caatinga,BAHIA,Carinhanha,1.63,2020,others +Cerrado,BAHIA,Cristópolis,1.25,2020,agriculture +Cerrado,BAHIA,Coribe,1.77,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,3.2,2020,agriculture +Cerrado,BAHIA,Correntina,6.19,2020,agriculture +Caatinga,BAHIA,Urandi,8.99,2020,others +Caatinga,BAHIA,Angical,8.25,2020,others +Caatinga,BAHIA,Cotegipe,4.31,2020,agriculture +Caatinga,BAHIA,Cotegipe,8.28,2020,agriculture +Caatinga,BAHIA,Barra,1.55,2020,others +Caatinga,BAHIA,Barra,0.82,2020,others +Cerrado,BAHIA,Cristópolis,3.7,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,3.63,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,19.27,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,3.6,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.04,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,6.93,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,1.22,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,3.95,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,11.94,2020,agriculture +Cerrado,BAHIA,Correntina,4.85,2020,agriculture +Cerrado,BAHIA,São Desidério,1.71,2020,agriculture +Cerrado,BAHIA,Catolândia,10.06,2020,agriculture +Caatinga,BAHIA,Santana,4.35,2020,agriculture +Caatinga,BAHIA,Santana,6.55,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,4.32,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,1.82,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,1.55,2020,agriculture +Caatinga,BAHIA,Serra Dourada,6.39,2020,agriculture +Cerrado,BAHIA,Baianópolis,1.84,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,2.44,2020,agriculture +Caatinga,BAHIA,Buritirama,1.8,2020,others +Caatinga,BAHIA,Buritirama,5.22,2020,others +Caatinga,BAHIA,Buritirama,3.31,2020,agriculture +Caatinga,BAHIA,Buritirama,1.83,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,2.9,2020,others +Caatinga,BAHIA,Buritirama,3.38,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.25,2020,others +Caatinga,BAHIA,Buritirama,3.5,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,26.18,2020,agriculture +Caatinga,BAHIA,Angical,4.63,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.29,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.52,2020,agriculture +Cerrado,BAHIA,Barreiras,4.45,2020,urban_expansion +Cerrado,BAHIA,Santa Rita de Cássia,23.5,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.17,2020,agriculture +Caatinga,BAHIA,Carinhanha,5.41,2020,agriculture +Caatinga,BAHIA,Carinhanha,4.01,2020,agriculture +Caatinga,BAHIA,Carinhanha,7.85,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,7.81,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,6.64,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,4.24,2021,others +Caatinga,BAHIA,Ibipitanga,1.41,2021,agriculture +Caatinga,BAHIA,Ibipeba,4.52,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,2.61,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.18,2021,others +Caatinga,BAHIA,Mundo Novo,6.42,2021,agriculture +Caatinga,BAHIA,Mirangaba,6.12,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,2.76,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,11.84,2021,agriculture +Mata Atlântica,BAHIA,Itanagra,3.29,2021,agriculture +Caatinga,BAHIA,Serrinha,2.13,2021,others +Caatinga,BAHIA,Macururé,1.11,2021,agriculture +Cerrado,BAHIA,Correntina,3.41,2021,agriculture +Caatinga,BAHIA,Caraíbas,11.85,2021,agriculture +Cerrado,BAHIA,Barreiras,19.66,2021,agriculture +Cerrado,BAHIA,Catolândia,52.51,2021,agriculture +Mata Atlântica,BAHIA,Camamu,5.56,2021,agriculture +Caatinga,BAHIA,Sento Sé,2.03,2021,agriculture +Caatinga,BAHIA,Wanderley,311.29,2021,others +Caatinga,BAHIA,Tanque Novo,1.01,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.54,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,1.5,2021,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,29.2,2021,agriculture +Mata Atlântica,BAHIA,Aiquara,8.84,2021,agriculture +Mata Atlântica,BAHIA,Jequié,17.1,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,33.15,2021,agriculture +Mata Atlântica,BAHIA,Jucuruçu,3.4,2021,agriculture +Caatinga,BAHIA,Wanderley,393.97,2021,others +Caatinga,BAHIA,Crisópolis,16.41,2021,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,9.29,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,2.92,2021,others +Mata Atlântica,BAHIA,Itapebi,6.79,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,6.42,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,7.38,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.18,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.42,2021,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,14.28,2021,agriculture +Caatinga,BAHIA,Angical,90.94,2021,others +Caatinga,BAHIA,Morro do Chapéu,3.0,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,2.04,2021,agriculture +Mata Atlântica,BAHIA,Irajuba,7.04,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,12.19,2021,agriculture +Caatinga,BAHIA,Remanso,1.0,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.07,2021,agriculture +Caatinga,BAHIA,Buritirama,0.72,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.68,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.06,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.58,2021,others +Caatinga,BAHIA,Cotegipe,2.55,2021,agriculture +Caatinga,BAHIA,Barra,2.88,2021,others +Caatinga,BAHIA,Coronel João Sá,57.29,2021,others +Caatinga,BAHIA,Riacho de Santana,6.09,2021,others +Caatinga,BAHIA,Sobradinho,2.47,2021,others +Caatinga,BAHIA,Monte Santo,20.62,2021,others +Caatinga,BAHIA,Urandi,2.51,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,64.58,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,24.59,2021,others +Caatinga,BAHIA,Muquém do São Francisco,11.01,2021,agriculture +Caatinga,BAHIA,Buritirama,1.33,2021,others +Caatinga,BAHIA,Campo Alegre de Lourdes,22.89,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,1.89,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,0.69,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,3.05,2021,others +Caatinga,BAHIA,Presidente Jânio Quadros,10.06,2021,others +Caatinga,BAHIA,Jeremoabo,141.13,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,19.07,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,5.2,2021,others +Caatinga,BAHIA,Euclides da Cunha,35.71,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,9.95,2021,agriculture +Caatinga,BAHIA,Carinhanha,3.58,2021,others +Caatinga,BAHIA,Ituaçu,4.62,2021,agriculture +Caatinga,BAHIA,Guanambi,3.95,2021,agriculture +Caatinga,BAHIA,Casa Nova,6.94,2021,others +Cerrado,BAHIA,Cotegipe,135.74,2021,agriculture +Cerrado,BAHIA,Barreiras,131.65,2021,agriculture +Caatinga,BAHIA,Tapiramutá,5.97,2021,agriculture +Cerrado,BAHIA,Correntina,0.5,2021,agriculture +Caatinga,BAHIA,Aracatu,19.18,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,46.8,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,5.82,2022,agriculture +Cerrado,BAHIA,São Desidério,98.59,2022,agriculture +Cerrado,BAHIA,São Desidério,668.75,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,271.54,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,66.94,2022,agriculture +Cerrado,BAHIA,Jaborandi,31.11,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,0.89,2022,others +Caatinga,BAHIA,Macaúbas,5.16,2022,agriculture +Cerrado,BAHIA,São Desidério,125.1,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,9.43,2022,agriculture +Mata Atlântica,BAHIA,Guaratinga,1.54,2022,agriculture +Mata Atlântica,BAHIA,Itagi,8.64,2022,agriculture +Mata Atlântica,BAHIA,Conde,6.5,2022,agriculture +Mata Atlântica,BAHIA,Pojuca,8.23,2022,agriculture +Cerrado,BAHIA,Caetité,3.58,2022,agriculture +Caatinga,BAHIA,Jeremoabo,10.1,2022,others +Caatinga,BAHIA,Riacho de Santana,3.1,2022,others +Caatinga,BAHIA,Riacho de Santana,7.07,2022,others +Caatinga,BAHIA,Riacho de Santana,12.07,2022,others +Caatinga,BAHIA,Riacho de Santana,6.98,2022,others +Caatinga,BAHIA,Paulo Afonso,2.33,2022,others +Caatinga,BAHIA,Macajuba,2.7,2022,others +Caatinga,BAHIA,Matina,1.91,2022,agriculture +Caatinga,BAHIA,Matina,10.72,2022,others +Caatinga,BAHIA,Sento Sé,4.29,2022,agriculture +Caatinga,BAHIA,Dom Basílio,5.54,2022,agriculture +Caatinga,BAHIA,Matina,2.66,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,1.08,2022,agriculture +Caatinga,BAHIA,Piritiba,28.13,2022,others +Caatinga,BAHIA,Paratinga,3.99,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.32,2022,agriculture +Caatinga,BAHIA,Paulo Afonso,4.52,2022,others +Cerrado,BAHIA,Cocos,1633.16,2022,agriculture +Cerrado,BAHIA,São Desidério,1227.28,2022,agriculture +Cerrado,BAHIA,São Desidério,334.87,2022,agriculture +Mata Atlântica,BAHIA,Pedrão,9.44,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.97,2022,agriculture +Mata Atlântica,BAHIA,Catu,2.86,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.31,2022,agriculture +Mata Atlântica,BAHIA,Conde,2.01,2022,agriculture +Mata Atlântica,BAHIA,Aporá,1.66,2022,agriculture +Mata Atlântica,BAHIA,Santo Amaro,0.85,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.33,2022,agriculture +Mata Atlântica,BAHIA,Jaguaripe,0.34,2022,agriculture +Mata Atlântica,BAHIA,Valença,0.37,2022,agriculture +Cerrado,BAHIA,Correntina,1.9,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,25.68,2022,others +Caatinga,BAHIA,Carinhanha,21.69,2022,others +Cerrado,BAHIA,Cristópolis,16.31,2022,agriculture +Caatinga,BAHIA,Brumado,4.6,2022,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,12.06,2022,others +Caatinga,BAHIA,Pindaí,6.42,2022,others +Caatinga,BAHIA,Oliveira dos Brejinhos,5.87,2022,agriculture +Caatinga,BAHIA,Gentio do Ouro,1.98,2022,others +Cerrado,BAHIA,Barreiras,4.59,2022,agriculture +Caatinga,BAHIA,Sobradinho,1.71,2022,others +Caatinga,BAHIA,Macaúbas,6.28,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,4.37,2022,agriculture +Caatinga,BAHIA,Piatã,6.38,2022,mining +Caatinga,BAHIA,Brumado,8.77,2022,others +Caatinga,BAHIA,Tucano,29.39,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,8.84,2022,agriculture +Cerrado,BAHIA,Catolândia,15.14,2022,agriculture +Cerrado,BAHIA,Coribe,3.16,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,17.62,2022,others +Caatinga,BAHIA,Sítio do Mato,96.51,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.8,2022,others +Cerrado,BAHIA,São Desidério,776.06,2022,agriculture +Cerrado,BAHIA,Catolândia,56.7,2022,agriculture +Cerrado,BAHIA,Cristópolis,16.16,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.29,2022,others +Caatinga,BAHIA,Monte Santo,0.66,2022,others +Caatinga,BAHIA,Buritirama,1.78,2022,others +Caatinga,BAHIA,Milagres,25.71,2022,agriculture +Caatinga,BAHIA,Buritirama,0.77,2022,others +Caatinga,BAHIA,Uauá,12.7,2022,others +Caatinga,BAHIA,Paripiranga,6.13,2022,others +Caatinga,BAHIA,Jaborandi,7.14,2022,others +Cerrado,BAHIA,Canápolis,4.4,2022,agriculture +Caatinga,BAHIA,Feira da Mata,3.55,2022,others +Mata Atlântica,BAHIA,Jequié,4.06,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,3.25,2022,agriculture +Caatinga,BAHIA,Queimadas,5.85,2022,others +Cerrado,BAHIA,São Desidério,75.13,2022,agriculture +Cerrado,BAHIA,Correntina,101.68,2022,agriculture +Cerrado,BAHIA,Cocos,52.68,2022,agriculture +Cerrado,BAHIA,Cotegipe,140.25,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,7.24,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,1.11,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,0.33,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,281.23,2019,agriculture +Caatinga,BAHIA,Buritirama,9.59,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.93,2019,agriculture +Caatinga,BAHIA,Brejolândia,23.2,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,12.42,2019,agriculture +Caatinga,BAHIA,Feira da Mata,5.12,2019,agriculture +Caatinga,BAHIA,Serra do Ramalho,7.24,2019,agriculture +Caatinga,BAHIA,Santana,13.78,2019,agriculture +Mata Atlântica,BAHIA,Ipiaú,2.9,2019,agriculture +Mata Atlântica,BAHIA,Itororó,4.78,2019,agriculture +Mata Atlântica,BAHIA,Planalto,75.66,2019,agriculture +Caatinga,BAHIA,Angical,2.7,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,78.26,2019,agriculture +Caatinga,BAHIA,Santana,67.09,2019,agriculture +Caatinga,BAHIA,Carinhanha,31.64,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,15.7,2019,urban_expansion +Cerrado,BAHIA,Cocos,1345.06,2019,agriculture +Caatinga,BAHIA,Angical,6.38,2019,agriculture +Caatinga,BAHIA,Euclides da Cunha,10.4,2019,agriculture +Caatinga,BAHIA,Cocos,19.12,2019,agriculture +Cerrado,BAHIA,Barreiras,1.06,2019,agriculture +Cerrado,BAHIA,Baianópolis,28.82,2019,agriculture +Cerrado,BAHIA,São Desidério,3.83,2019,agriculture +Cerrado,BAHIA,Catolândia,4.56,2019,agriculture +Cerrado,BAHIA,Baianópolis,12.28,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1.57,2019,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,1.29,2019,agriculture +Mata Atlântica,BAHIA,Planalto,3.17,2019,agriculture +Mata Atlântica,BAHIA,Santa Luzia,3.56,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,11.83,2019,agriculture +Caatinga,BAHIA,Condeúba,8.6,2019,agriculture +Caatinga,BAHIA,Sítio do Mato,6.68,2020,agriculture +Caatinga,BAHIA,Carinhanha,8.68,2020,agriculture +Cerrado,BAHIA,Cocos,7.27,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,19.59,2020,agriculture +Caatinga,BAHIA,Barra,9.27,2020,agriculture +Cerrado,BAHIA,São Desidério,97.17,2020,agriculture +Cerrado,BAHIA,São Desidério,10.88,2020,agriculture +Mata Atlântica,BAHIA,Jandaíra,78.55,2020,agriculture +Mata Atlântica,BAHIA,Cardeal da Silva,3.1,2020,agriculture +Mata Atlântica,BAHIA,Jaguaripe,26.01,2020,agriculture +Mata Atlântica,BAHIA,Taperoá,2.78,2020,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,1.55,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,2.98,2020,agriculture +Mata Atlântica,BAHIA,Valença,1.76,2020,agriculture +Mata Atlântica,BAHIA,Camacan,9.68,2020,agriculture +Mata Atlântica,BAHIA,Ibicaraí,9.06,2020,agriculture +Mata Atlântica,BAHIA,Itabela,2.99,2020,agriculture +Mata Atlântica,BAHIA,Floresta Azul,5.01,2020,agriculture +Mata Atlântica,BAHIA,Itapetinga,42.58,2020,agriculture +Mata Atlântica,BAHIA,Dário Meira,0.59,2020,agriculture +Caatinga,BAHIA,Bonito,22.39,2020,agriculture +Caatinga,BAHIA,Bonito,2.29,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,2.03,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,7.62,2020,agriculture +Cerrado,BAHIA,Baianópolis,104.38,2020,agriculture +Mata Atlântica,BAHIA,Planalto,3.25,2020,agriculture +Caatinga,BAHIA,Ribeira do Pombal,6.46,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,32.61,2020,agriculture +Caatinga,BAHIA,Tucano,1.21,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.73,2020,agriculture +Caatinga,BAHIA,Jussiape,4.07,2020,agriculture +Caatinga,BAHIA,Itapicuru,94.24,2020,agriculture +Caatinga,BAHIA,Tucano,79.87,2020,agriculture +Caatinga,BAHIA,Aracatu,2.66,2020,agriculture +Caatinga,BAHIA,Coribe,4.54,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,7.58,2020,agriculture +Caatinga,BAHIA,Wanderley,16.78,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.97,2020,agriculture +Caatinga,BAHIA,Cícero Dantas,19.11,2020,agriculture +Mata Atlântica,BAHIA,Ubaíra,5.36,2020,agriculture +Cerrado,BAHIA,Cotegipe,313.13,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,219.14,2020,agriculture +Mata Atlântica,BAHIA,Itapé,16.84,2020,agriculture +Caatinga,BAHIA,Mucugê,102.62,2020,agriculture +Mata Atlântica,BAHIA,Itambé,23.34,2020,agriculture +Caatinga,BAHIA,Malhada,34.93,2020,agriculture +Caatinga,BAHIA,Cocos,16.97,2020,agriculture +Caatinga,BAHIA,Brumado,11.49,2020,agriculture +Caatinga,BAHIA,Feira da Mata,6.88,2020,agriculture +Cerrado,BAHIA,Jaborandi,22.86,2020,agriculture +Caatinga,BAHIA,Macaúbas,1.26,2020,agriculture +Caatinga,BAHIA,Ibipitanga,14.91,2020,agriculture +Caatinga,BAHIA,Baixa Grande,6.74,2020,agriculture +Caatinga,BAHIA,Jussiape,6.68,2020,agriculture +Cerrado,BAHIA,Cristópolis,3.37,2020,agriculture +Caatinga,BAHIA,Boninal,5.55,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,6.48,2020,agriculture +Cerrado,BAHIA,São Desidério,4.59,2020,agriculture +Mata Atlântica,BAHIA,Macarani,39.94,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,295.66,2020,agriculture +Mata Atlântica,BAHIA,Itapé,1.42,2020,agriculture +Caatinga,BAHIA,Feira da Mata,82.07,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,26.15,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,104.5,2020,agriculture +Mata Atlântica,BAHIA,Guaratinga,0.95,2020,agriculture +Caatinga,BAHIA,Utinga,4.28,2020,agriculture +Caatinga,BAHIA,Anagé,6.58,2020,agriculture +Caatinga,BAHIA,Mucugê,60.59,2020,agriculture +Caatinga,BAHIA,Casa Nova,4.81,2020,agriculture +Cerrado,BAHIA,Cristópolis,28.51,2020,agriculture +Caatinga,BAHIA,Ourolândia,6.46,2020,agriculture +Caatinga,BAHIA,Cotegipe,11.86,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,4.15,2020,agriculture +Caatinga,BAHIA,Serrinha,1.32,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,3.86,2020,agriculture +Caatinga,BAHIA,Boquira,1.68,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,150.41,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.55,2020,agriculture +Cerrado,BAHIA,Baianópolis,14.84,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,2.92,2020,agriculture +Caatinga,BAHIA,Paramirim,1.5,2020,agriculture +Mata Atlântica,BAHIA,Serra Preta,1.71,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.14,2020,agriculture +Caatinga,BAHIA,Matina,2.74,2020,agriculture +Caatinga,BAHIA,Cotegipe,3.56,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,9.15,2020,agriculture +Caatinga,BAHIA,Serrinha,8.79,2020,agriculture +Mata Atlântica,BAHIA,Arataca,4.67,2021,agriculture +Mata Atlântica,BAHIA,Itagibá,0.87,2021,agriculture +Cerrado,BAHIA,Cocos,9.71,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.04,2021,agriculture +Mata Atlântica,BAHIA,Camamu,6.75,2021,agriculture +Caatinga,BAHIA,Tucano,5.89,2021,agriculture +Mata Atlântica,BAHIA,Castro Alves,9.31,2021,agriculture +Caatinga,BAHIA,Barra,1.49,2021,agriculture +Cerrado,BAHIA,Licínio de Almeida,3.13,2021,agriculture +Cerrado,BAHIA,Caetité,0.62,2021,agriculture +Caatinga,BAHIA,Santa Terezinha,3.93,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.54,2021,agriculture +Caatinga,BAHIA,Sátiro Dias,8.98,2021,agriculture +Caatinga,BAHIA,Inhambupe,9.25,2021,agriculture +Cerrado,BAHIA,Cotegipe,1.51,2021,agriculture +Caatinga,BAHIA,Matina,2.63,2021,agriculture +Cerrado,BAHIA,Jaborandi,34.85,2021,agriculture +Caatinga,BAHIA,Correntina,21.08,2021,agriculture +Caatinga,BAHIA,Wanderley,10.65,2021,agriculture +Caatinga,BAHIA,Mansidão,5.04,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,38.95,2021,agriculture +Mata Atlântica,BAHIA,Taperoá,1.83,2021,agriculture +Mata Atlântica,BAHIA,Taperoá,2.65,2021,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,3.01,2021,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,4.54,2021,agriculture +Mata Atlântica,BAHIA,Ubatã,1.65,2021,urban_expansion +Mata Atlântica,BAHIA,Ipiaú,1.11,2021,agriculture +Caatinga,BAHIA,Tapiramutá,7.38,2021,agriculture +Cerrado,BAHIA,Cristópolis,11.33,2021,agriculture +Caatinga,BAHIA,Angical,4.64,2021,agriculture +Cerrado,BAHIA,Barreiras,3.87,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,35.05,2021,agriculture +Cerrado,BAHIA,São Desidério,837.18,2021,agriculture +Mata Atlântica,BAHIA,Aratuípe,2.19,2021,agriculture +Mata Atlântica,BAHIA,Caravelas,3.21,2021,agriculture +Mata Atlântica,BAHIA,Mascote,5.8,2021,agriculture +Mata Atlântica,BAHIA,Nova Ibiá,0.86,2021,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,3.24,2021,agriculture +Mata Atlântica,BAHIA,Guaratinga,6.28,2021,agriculture +Mata Atlântica,BAHIA,Planalto,11.66,2021,agriculture +Caatinga,BAHIA,Mundo Novo,5.27,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,10.85,2021,urban_expansion +Caatinga,BAHIA,Novo Horizonte,0.47,2021,agriculture +Caatinga,BAHIA,Paratinga,3.08,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,58.17,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,6.29,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,11.75,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,0.59,2021,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,3.47,2021,agriculture +Cerrado,BAHIA,Caetité,0.94,2021,agriculture +Caatinga,BAHIA,Cordeiros,36.87,2021,agriculture +Caatinga,BAHIA,Ibipeba,7.41,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.14,2021,agriculture +Caatinga,BAHIA,Quijingue,3.56,2021,agriculture +Caatinga,BAHIA,Barra,61.82,2021,agriculture +Caatinga,BAHIA,Sento Sé,1.21,2021,agriculture +Caatinga,BAHIA,Cotegipe,111.71,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,214.23,2021,agriculture +Cerrado,BAHIA,Cocos,39.26,2021,agriculture +Mata Atlântica,BAHIA,Alagoinhas,5.72,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,3.3,2021,agriculture +Caatinga,BAHIA,Caetité,5.02,2021,agriculture +Caatinga,BAHIA,Abaíra,1.04,2021,agriculture +Caatinga,BAHIA,Itapicuru,3.68,2021,agriculture +Caatinga,BAHIA,Anagé,10.74,2021,agriculture +Caatinga,BAHIA,Caetanos,16.27,2021,agriculture +Caatinga,BAHIA,Tanhaçu,5.54,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.41,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,6.1,2021,agriculture +Caatinga,BAHIA,Fátima,2.65,2021,agriculture +Caatinga,BAHIA,Sobradinho,9.19,2021,agriculture +Caatinga,BAHIA,Belo Campo,1.19,2021,agriculture +Caatinga,BAHIA,Serra Dourada,8.81,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,16.82,2021,agriculture +Mata Atlântica,BAHIA,Itapé,4.12,2021,agriculture +Mata Atlântica,BAHIA,Mascote,10.41,2021,agriculture +Mata Atlântica,BAHIA,Barro Preto,3.85,2021,agriculture +Mata Atlântica,BAHIA,Itaquara,42.98,2021,agriculture +Cerrado,BAHIA,São Desidério,3.35,2020,agriculture +Caatinga,BAHIA,Barra,1.52,2020,others +Caatinga,BAHIA,Barra,6.77,2020,others +Caatinga,BAHIA,Angical,1.1,2020,others +Caatinga,BAHIA,Angical,8.3,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.29,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,0.33,2020,others +Caatinga,BAHIA,Muquém do São Francisco,3.49,2020,others +Caatinga,BAHIA,Barra,0.72,2020,agriculture +Cerrado,BAHIA,Cristópolis,0.37,2020,agriculture +Cerrado,BAHIA,Cristópolis,1.73,2020,agriculture +Cerrado,BAHIA,Cristópolis,2.08,2020,agriculture +Caatinga,BAHIA,Barra,0.63,2020,others +Caatinga,BAHIA,Wanderley,0.3,2020,others +Caatinga,BAHIA,Brejolândia,10.13,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,1.7,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.52,2020,others +Caatinga,BAHIA,Cotegipe,1.54,2020,others +Caatinga,BAHIA,Cotegipe,10.88,2020,agriculture +Caatinga,BAHIA,Jaborandi,1.06,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,2.46,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,0.99,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,2.15,2020,agriculture +Cerrado,BAHIA,Correntina,0.91,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.65,2020,agriculture +Cerrado,BAHIA,Catolândia,3.55,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,4.5,2020,agriculture +Cerrado,BAHIA,São Desidério,2.57,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,2.7,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,4.77,2020,agriculture +Cerrado,BAHIA,Cristópolis,13.38,2020,agriculture +Cerrado,BAHIA,Jaborandi,4.36,2020,agriculture +Cerrado,BAHIA,São Desidério,5.48,2020,agriculture +Cerrado,BAHIA,São Desidério,21.31,2020,agriculture +Caatinga,BAHIA,Serra Dourada,12.97,2020,agriculture +Cerrado,BAHIA,Baianópolis,5.49,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1.93,2020,agriculture +Caatinga,BAHIA,Mansidão,4.48,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.99,2020,agriculture +Caatinga,BAHIA,Buritirama,2.77,2020,others +Caatinga,BAHIA,Buritirama,1.54,2020,others +Caatinga,BAHIA,Mansidão,4.9,2020,agriculture +Caatinga,BAHIA,Pilão Arcado,0.56,2020,agriculture +Caatinga,BAHIA,Pilão Arcado,0.64,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,2.13,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,1.91,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,8.47,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,5.93,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.9,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.6,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,3.73,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,9.26,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,16.0,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.9,2020,agriculture +Cerrado,BAHIA,Cocos,13.25,2020,agriculture +Cerrado,BAHIA,Cocos,4.73,2020,agriculture +Cerrado,BAHIA,Coribe,2.63,2020,agriculture +Caatinga,BAHIA,Carinhanha,4.47,2020,agriculture +Cerrado,BAHIA,Coribe,8.79,2020,agriculture +Caatinga,BAHIA,Malhada,0.9,2020,urban_expansion +Caatinga,BAHIA,Coribe,5.92,2020,agriculture +Cerrado,BAHIA,Jaborandi,19.31,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.18,2021,agriculture +Caatinga,BAHIA,Mansidão,5.77,2021,agriculture +Mata Atlântica,BAHIA,Santa Inês,0.72,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,1.97,2021,others +Caatinga,BAHIA,Licínio de Almeida,2.52,2021,others +Caatinga,BAHIA,Riacho de Santana,1.16,2021,others +Caatinga,BAHIA,Morpará,3.87,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,13.97,2021,agriculture +Caatinga,BAHIA,Morpará,0.42,2021,others +Caatinga,BAHIA,Paramirim,5.74,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,7.33,2021,agriculture +Caatinga,BAHIA,Serra Dourada,61.46,2021,agriculture +Mata Atlântica,BAHIA,Jandaíra,3.15,2021,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,5.72,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,4.47,2021,others +Caatinga,BAHIA,Seabra,2.52,2021,others +Caatinga,BAHIA,Cotegipe,1.79,2021,agriculture +Caatinga,BAHIA,Monte Santo,65.42,2021,agriculture +Caatinga,BAHIA,Monte Santo,3.51,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,12.23,2021,agriculture +Caatinga,BAHIA,Sobradinho,0.6,2021,agriculture +Caatinga,BAHIA,Ibotirama,25.91,2021,agriculture +Caatinga,BAHIA,Piritiba,2.57,2021,agriculture +Caatinga,BAHIA,Barra da Estiva,10.2,2021,agriculture +Caatinga,BAHIA,Malhada,40.61,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,3.24,2021,agriculture +Caatinga,BAHIA,Adustina,66.75,2021,agriculture +Caatinga,BAHIA,Ituaçu,0.89,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,1.28,2021,agriculture +Caatinga,BAHIA,Brumado,0.9,2021,agriculture +Caatinga,BAHIA,Tapiramutá,50.64,2021,others +Mata Atlântica,BAHIA,Encruzilhada,1.6,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,30.11,2021,agriculture +Caatinga,BAHIA,Casa Nova,2.77,2021,agriculture +Caatinga,BAHIA,Curaçá,5.04,2021,agriculture +Mata Atlântica,BAHIA,Maiquinique,2.63,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,50.91,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,6.95,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,3.18,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,5.77,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,60.85,2021,agriculture +Mata Atlântica,BAHIA,Barra do Choça,4.07,2021,agriculture +Mata Atlântica,BAHIA,Itambé,12.27,2021,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,3.73,2021,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,0.94,2021,agriculture +Caatinga,BAHIA,Wanderley,5.51,2021,others +Caatinga,BAHIA,Angical,7.31,2021,agriculture +Caatinga,BAHIA,Condeúba,57.38,2021,agriculture +Caatinga,BAHIA,Angical,10.87,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,709.13,2021,agriculture +Caatinga,BAHIA,Caetanos,0.48,2021,agriculture +Caatinga,BAHIA,Jequié,3.89,2021,agriculture +Caatinga,BAHIA,Remanso,1.38,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,0.45,2021,agriculture +Caatinga,BAHIA,Buritirama,0.82,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.16,2021,agriculture +Caatinga,BAHIA,Remanso,13.45,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.52,2021,agriculture +Caatinga,BAHIA,Cotegipe,13.58,2021,agriculture +Caatinga,BAHIA,Jeremoabo,20.06,2021,others +Caatinga,BAHIA,Barra,17.53,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,5.89,2021,others +Caatinga,BAHIA,Santana,1.24,2021,others +Caatinga,BAHIA,Sítio do Mato,1.95,2021,others +Caatinga,BAHIA,Macaúbas,5.4,2021,agriculture +Caatinga,BAHIA,Botuporã,4.84,2021,agriculture +Caatinga,BAHIA,Urandi,2.22,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,8.48,2021,agriculture +Caatinga,BAHIA,Umburanas,0.98,2021,others +Caatinga,BAHIA,Caraíbas,0.9,2021,others +Caatinga,BAHIA,Caraíbas,5.29,2021,others +Caatinga,BAHIA,Morro do Chapéu,9.96,2021,agriculture +Caatinga,BAHIA,Biritinga,21.09,2021,others +Caatinga,BAHIA,Remanso,2.99,2021,others +Caatinga,BAHIA,Canudos,26.27,2021,others +Caatinga,BAHIA,Morpará,17.48,2021,others +Caatinga,BAHIA,Ipirá,11.52,2021,others +Caatinga,BAHIA,Feira da Mata,13.48,2021,agriculture +Cerrado,BAHIA,Caetité,4.38,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,187.67,2021,agriculture +Cerrado,BAHIA,Cocos,7.75,2021,agriculture +Cerrado,BAHIA,Correntina,3.86,2021,agriculture +Cerrado,BAHIA,Correntina,108.44,2021,agriculture +Caatinga,BAHIA,Caldeirão Grande,24.95,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,1.17,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,0.73,2022,agriculture +Mata Atlântica,BAHIA,Amargosa,0.84,2022,agriculture +Mata Atlântica,BAHIA,Itarantim,66.53,2022,agriculture +Mata Atlântica,BAHIA,Nova Canaã,18.03,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,30.59,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,272.03,2022,agriculture +Caatinga,BAHIA,Paratinga,0.88,2022,agriculture +Caatinga,BAHIA,Paulo Afonso,2.82,2022,agriculture +Caatinga,BAHIA,Macaúbas,32.53,2022,others +Caatinga,BAHIA,Brejolândia,5.64,2022,agriculture +Cerrado,BAHIA,Catolândia,1.5,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,2.06,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,193.5,2022,agriculture +Mata Atlântica,BAHIA,Ibirapuã,4.45,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,3.35,2022,agriculture +Mata Atlântica,BAHIA,Conceição da Feira,1.94,2022,agriculture +Caatinga,BAHIA,Lagoa Real,16.27,2022,others +Caatinga,BAHIA,Jussiape,0.37,2022,agriculture +Cerrado,BAHIA,Riacho de Santana,1.71,2022,agriculture +Caatinga,BAHIA,Itapicuru,36.44,2022,others +Caatinga,BAHIA,Sátiro Dias,22.13,2022,others +Caatinga,BAHIA,Barra da Estiva,34.17,2022,others +Caatinga,BAHIA,Paripiranga,2.52,2022,others +Caatinga,BAHIA,Matina,5.83,2022,others +Cerrado,BAHIA,Igaporã,7.95,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,17.4,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,2.48,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.63,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,4.9,2022,others +Caatinga,BAHIA,Cotegipe,295.91,2022,agriculture +Caatinga,BAHIA,Boquira,4.17,2022,others +Caatinga,BAHIA,Paripiranga,2.39,2022,agriculture +Cerrado,BAHIA,Igaporã,6.93,2022,urban_expansion +Caatinga,BAHIA,Matina,1.9,2022,others +Caatinga,BAHIA,Paulo Afonso,2.56,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,7.44,2022,agriculture +Caatinga,BAHIA,Sátiro Dias,1.49,2022,others +Caatinga,BAHIA,Matina,0.96,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.9,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,0.46,2022,agriculture +Mata Atlântica,BAHIA,Santa Luzia,0.61,2022,agriculture +Mata Atlântica,BAHIA,Mata de São João,0.41,2022,agriculture +Mata Atlântica,BAHIA,Gongogi,4.41,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,2.26,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.35,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.27,2022,agriculture +Mata Atlântica,BAHIA,Cachoeira,1.63,2022,agriculture +Cerrado,BAHIA,Caetité,8.56,2022,agriculture +Caatinga,BAHIA,São Gonçalo dos Campos,1.83,2022,agriculture +Caatinga,BAHIA,Correntina,27.17,2022,agriculture +Cerrado,BAHIA,Baianópolis,5.63,2022,agriculture +Cerrado,BAHIA,Mansidão,6.92,2022,agriculture +Cerrado,BAHIA,Jaborandi,6.55,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,13.62,2022,agriculture +Caatinga,BAHIA,Coribe,15.89,2022,others +Caatinga,BAHIA,Jaborandi,54.65,2022,agriculture +Caatinga,BAHIA,Coronel João Sá,41.24,2022,others 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Cássia,9.99,2019,agriculture +Cerrado,BAHIA,Catolândia,5.35,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.58,2019,agriculture +Cerrado,BAHIA,Jaborandi,12.08,2019,agriculture +Mata Atlântica,BAHIA,Aiquara,14.96,2019,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,6.17,2019,agriculture +Mata Atlântica,BAHIA,Itapitanga,15.26,2019,agriculture +Mata Atlântica,BAHIA,Nova Viçosa,6.59,2019,agriculture +Caatinga,BAHIA,Antônio Gonçalves,2.96,2019,agriculture +Caatinga,BAHIA,Lençóis,145.24,2019,agriculture +Caatinga,BAHIA,Wagner,0.37,2019,agriculture +Caatinga,BAHIA,Piritiba,2.46,2019,agriculture +Caatinga,BAHIA,Morro do Chapéu,12.31,2019,agriculture +Caatinga,BAHIA,Miguel Calmon,4.62,2019,agriculture +Caatinga,BAHIA,Jacobina,9.74,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,22.72,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,42.27,2019,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,30.79,2019,agriculture +Caatinga,BAHIA,Ibotirama,2.53,2019,agriculture 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+Caatinga,BAHIA,Santa Rita de Cássia,16.06,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,8.26,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,0.38,2020,agriculture +Cerrado,BAHIA,São Desidério,130.61,2020,agriculture +Cerrado,BAHIA,São Desidério,7.6,2020,agriculture +Cerrado,BAHIA,São Desidério,3.67,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,79.08,2020,agriculture +Cerrado,BAHIA,Correntina,2.74,2020,agriculture +Mata Atlântica,BAHIA,Conde,1.95,2020,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,5.97,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.2,2020,agriculture +Mata Atlântica,BAHIA,Valença,1.9,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,10.94,2020,agriculture +Mata Atlântica,BAHIA,Camamu,1.99,2020,agriculture +Mata Atlântica,BAHIA,Teolândia,5.37,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,18.9,2020,agriculture +Mata Atlântica,BAHIA,Camacan,7.38,2020,agriculture +Mata Atlântica,BAHIA,Ubaíra,1.77,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,56.01,2020,agriculture +Caatinga,BAHIA,Aracatu,12.45,2020,agriculture +Caatinga,BAHIA,Cícero Dantas,19.05,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,46.02,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,13.34,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,14.26,2020,agriculture +Cerrado,BAHIA,Baianópolis,8.86,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,41.33,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,10.71,2020,agriculture +Caatinga,BAHIA,Paratinga,2.4,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,0.39,2020,agriculture +Mata Atlântica,BAHIA,Itapetinga,4.19,2020,agriculture +Mata Atlântica,BAHIA,Jitaúna,2.98,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,7.09,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,12.3,2020,agriculture +Cerrado,BAHIA,Cotegipe,538.74,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,713.14,2020,agriculture +Cerrado,BAHIA,Baianópolis,13.63,2020,agriculture +Cerrado,BAHIA,Jaborandi,50.81,2020,agriculture +Cerrado,BAHIA,Jaborandi,34.11,2020,agriculture +Cerrado,BAHIA,São Desidério,12.95,2020,agriculture +Caatinga,BAHIA,Tapiramutá,5.03,2020,agriculture +Caatinga,BAHIA,Jequié,2.59,2020,agriculture +Cerrado,BAHIA,São Desidério,8.4,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,19.91,2020,agriculture +Cerrado,BAHIA,Jaborandi,12.39,2020,agriculture +Caatinga,BAHIA,Cocos,3.29,2020,agriculture +Cerrado,BAHIA,Brejolândia,19.74,2020,agriculture +Cerrado,BAHIA,São Desidério,2.01,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,14.82,2020,agriculture +Caatinga,BAHIA,Tremedal,5.38,2020,agriculture +Caatinga,BAHIA,Caraíbas,4.47,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,3.85,2020,agriculture +Mata Atlântica,BAHIA,Camamu,4.37,2020,agriculture +Caatinga,BAHIA,Brumado,10.99,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,1.38,2020,agriculture +Caatinga,BAHIA,Tanque Novo,4.74,2020,agriculture +Caatinga,BAHIA,Piatã,18.73,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,57.02,2020,agriculture +Caatinga,BAHIA,Glória,4.02,2020,agriculture +Caatinga,BAHIA,Cocos,22.27,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,10.99,2020,agriculture +Caatinga,BAHIA,Santana,126.99,2020,agriculture +Mata Atlântica,BAHIA,Nova Canaã,6.67,2020,agriculture +Caatinga,BAHIA,Nordestina,32.85,2020,agriculture +Caatinga,BAHIA,Rio do Antônio,5.21,2020,agriculture +Mata Atlântica,BAHIA,Valença,2.35,2020,agriculture +Caatinga,BAHIA,Santana,10.21,2020,agriculture +Caatinga,BAHIA,Caturama,10.07,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,4.58,2020,agriculture +Caatinga,BAHIA,Tabocas do Brejo Velho,2.3,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,1.49,2020,agriculture +Cerrado,BAHIA,Baianópolis,5.01,2020,agriculture +Cerrado,BAHIA,Brejolândia,5.17,2020,agriculture +Caatinga,BAHIA,Wanderley,17.09,2020,agriculture +Caatinga,BAHIA,Serrinha,2.06,2020,agriculture +Caatinga,BAHIA,Serrinha,3.82,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,3.14,2020,agriculture +Cerrado,BAHIA,Caetité,1.62,2020,agriculture +Caatinga,BAHIA,São Gabriel,7.99,2020,agriculture +Caatinga,BAHIA,Aracatu,7.04,2020,agriculture +Caatinga,BAHIA,Itaeté,54.13,2020,agriculture +Cerrado,BAHIA,Correntina,60.95,2020,agriculture +Mata Atlântica,BAHIA,Itamari,2.49,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,41.12,2020,agriculture +Mata Atlântica,BAHIA,Guaratinga,12.77,2020,agriculture +Mata Atlântica,BAHIA,Itagibá,10.81,2020,agriculture +Caatinga,BAHIA,Maracás,17.4,2020,agriculture +Cerrado,BAHIA,Cotegipe,1.69,2020,agriculture +Caatinga,BAHIA,Urandi,1.98,2020,agriculture +Caatinga,BAHIA,Casa Nova,3.76,2020,agriculture +Mata Atlântica,BAHIA,Santa Terezinha,58.52,2020,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,45.28,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.64,2020,agriculture +Cerrado,BAHIA,Macaúbas,8.8,2020,agriculture +Caatinga,BAHIA,Belo Campo,9.73,2020,agriculture +Caatinga,BAHIA,Seabra,11.05,2020,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,3.99,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,15.25,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.9,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,5.9,2021,agriculture +Mata Atlântica,BAHIA,Itanagra,16.18,2021,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,1.0,2021,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,9.3,2021,agriculture +Mata Atlântica,BAHIA,Jucuruçu,2.36,2021,agriculture +Mata Atlântica,BAHIA,Santa Inês,1.66,2021,agriculture +Caatinga,BAHIA,Itaguaçu da Bahia,2.0,2021,agriculture +Cerrado,BAHIA,Cocos,2.97,2021,agriculture +Caatinga,BAHIA,Barra,1.64,2021,agriculture +Caatinga,BAHIA,Canudos,4.06,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.97,2021,agriculture +Caatinga,BAHIA,Caetité,2.38,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,14.95,2021,agriculture +Caatinga,BAHIA,Matina,1.43,2021,agriculture +Caatinga,BAHIA,Jaborandi,9.96,2021,agriculture +Cerrado,BAHIA,Baianópolis,12.49,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,29.72,2021,agriculture +Mata Atlântica,BAHIA,Cachoeira,14.38,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,5.62,2021,agriculture +Mata Atlântica,BAHIA,Ituberá,0.93,2021,agriculture +Mata Atlântica,BAHIA,Itapebi,1.33,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,51.66,2021,agriculture +Caatinga,BAHIA,Serra Dourada,8.06,2021,agriculture +Cerrado,BAHIA,Cocos,389.01,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,3.43,2021,agriculture +Mata Atlântica,BAHIA,Camamu,2.29,2021,agriculture +Mata Atlântica,BAHIA,Itapebi,2.42,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,14.55,2021,agriculture +Cerrado,BAHIA,Mansidão,2.65,2021,agriculture +Cerrado,BAHIA,Barreiras,6.16,2021,agriculture +Caatinga,BAHIA,Rio do Pires,11.0,2021,agriculture +Caatinga,BAHIA,Rio do Pires,5.25,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,2.13,2021,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,2.26,2021,agriculture +Caatinga,BAHIA,Cotegipe,11.92,2021,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,5.05,2021,agriculture +Caatinga,BAHIA,Ibitiara,13.6,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,3.52,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,1.05,2021,agriculture +Caatinga,BAHIA,Urandi,2.18,2021,agriculture +Caatinga,BAHIA,Brumado,4.51,2021,agriculture +Caatinga,BAHIA,Campo Formoso,2.6,2021,agriculture +Mata Atlântica,BAHIA,Belo Campo,1.27,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.83,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,9.06,2021,agriculture +Cerrado,BAHIA,Jaborandi,22.14,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,35.75,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,272.6,2021,agriculture +Mata Atlântica,BAHIA,São Sebastião do Passé,44.46,2021,agriculture +Mata Atlântica,BAHIA,Alagoinhas,34.13,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.19,2021,urban_expansion +Caatinga,BAHIA,Casa Nova,1.89,2021,agriculture +Caatinga,BAHIA,Canudos,4.44,2021,agriculture +Caatinga,BAHIA,Cansanção,3.32,2021,agriculture +Mata Atlântica,BAHIA,Coração de Maria,4.16,2021,agriculture +Caatinga,BAHIA,Contendas do Sincorá,2.84,2021,agriculture +Caatinga,BAHIA,Ibiassucê,0.46,2021,agriculture +Caatinga,BAHIA,Paramirim,9.43,2021,agriculture +Caatinga,BAHIA,Quijingue,4.91,2021,agriculture +Caatinga,BAHIA,Itapicuru,30.22,2021,others +Cerrado,BAHIA,Wanderley,17.04,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.16,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,1.92,2020,urban_expansion +Cerrado,BAHIA,São Desidério,0.85,2020,agriculture +Cerrado,BAHIA,São Desidério,4.33,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.57,2020,others +Caatinga,BAHIA,Barra,1.6,2020,agriculture +Caatinga,BAHIA,Barra,1.14,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,2.74,2020,others +Cerrado,BAHIA,Cristópolis,1.55,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.24,2020,others +Caatinga,BAHIA,Barra,1.62,2020,others +Caatinga,BAHIA,Mansidão,2.28,2020,agriculture +Caatinga,BAHIA,Cotegipe,2.08,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,2.16,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,0.98,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,3.67,2020,agriculture +Caatinga,BAHIA,Brejolândia,3.54,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,3.92,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,2.25,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,1.52,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,1.8,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,3.19,2020,agriculture +Cerrado,BAHIA,São Desidério,13.44,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,2.74,2020,agriculture +Cerrado,BAHIA,São Desidério,2.15,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,1.64,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,1.13,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,1.62,2020,agriculture +Cerrado,BAHIA,Baianópolis,12.43,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,1.63,2020,others +Cerrado,BAHIA,Tabocas do Brejo Velho,1.45,2020,agriculture +Caatinga,BAHIA,Buritirama,7.89,2020,others +Cerrado,BAHIA,Tabocas do Brejo Velho,0.74,2020,agriculture +Caatinga,BAHIA,Buritirama,0.91,2020,agriculture +Caatinga,BAHIA,Brejolândia,5.42,2020,agriculture +Caatinga,BAHIA,Buritirama,2.1,2020,others +Caatinga,BAHIA,Buritirama,2.87,2020,agriculture +Caatinga,BAHIA,Buritirama,1.27,2020,others +Caatinga,BAHIA,Buritirama,2.12,2020,others +Caatinga,BAHIA,Buritirama,1.44,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,6.57,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,2.73,2020,agriculture +Cerrado,BAHIA,Jaborandi,2.11,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.69,2020,agriculture +Cerrado,BAHIA,Cocos,5.76,2020,agriculture +Caatinga,BAHIA,Carinhanha,21.59,2020,agriculture +Caatinga,BAHIA,Carinhanha,4.1,2020,agriculture +Cerrado,BAHIA,Jaborandi,2.9,2020,agriculture +Cerrado,BAHIA,Coribe,5.78,2020,agriculture +Cerrado,BAHIA,Coribe,1.32,2020,agriculture +Caatinga,BAHIA,Carinhanha,9.85,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.4,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,3.1,2021,agriculture +Caatinga,BAHIA,Condeúba,3.18,2021,others +Caatinga,BAHIA,Paramirim,0.91,2021,others +Caatinga,BAHIA,Riacho de Santana,10.48,2021,agriculture +Mata Atlântica,BAHIA,Milagres,0.45,2021,agriculture +Caatinga,BAHIA,Casa Nova,13.1,2021,others +Caatinga,BAHIA,Riacho de Santana,16.19,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,31.7,2021,agriculture +Caatinga,BAHIA,Caetité,2.35,2021,others +Cerrado,BAHIA,Caetité,1.24,2021,agriculture +Caatinga,BAHIA,Angical,2.66,2021,others +Caatinga,BAHIA,Paramirim,2.36,2021,others +Caatinga,BAHIA,Caturama,1.56,2021,others +Mata Atlântica,BAHIA,Belo Campo,26.25,2021,agriculture +Mata Atlântica,BAHIA,Jandaíra,1.57,2021,agriculture +Caatinga,BAHIA,Mansidão,2.9,2021,agriculture +Caatinga,BAHIA,Pedro Alexandre,7.56,2021,others +Caatinga,BAHIA,Vitória da Conquista,3.58,2021,others +Caatinga,BAHIA,Urandi,1.44,2021,agriculture +Caatinga,BAHIA,Barra,60.82,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,158.3,2021,agriculture +Mata Atlântica,BAHIA,Itanagra,0.35,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,42.93,2021,agriculture +Cerrado,BAHIA,Correntina,5.7,2021,agriculture +Mata Atlântica,BAHIA,Alcobaça,1.69,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,16.59,2021,others +Cerrado,BAHIA,Matina,2.07,2021,agriculture +Caatinga,BAHIA,Pedro Alexandre,2.89,2021,others +Caatinga,BAHIA,Paripiranga,8.28,2021,others +Caatinga,BAHIA,Banzaê,2.05,2021,agriculture +Caatinga,BAHIA,Lagoa Real,1.81,2021,agriculture +Caatinga,BAHIA,Abaré,2.61,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.54,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,11.37,2021,agriculture +Caatinga,BAHIA,Iuiu,10.56,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,11.84,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,11.68,2021,others +Caatinga,BAHIA,Santana,25.05,2021,others +Caatinga,BAHIA,Santana,22.54,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.15,2021,others +Caatinga,BAHIA,Angical,125.73,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,2.54,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,3.76,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,5.95,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,25.66,2021,agriculture +Caatinga,BAHIA,Planaltino,12.15,2021,agriculture +Caatinga,BAHIA,Ibipeba,4.58,2021,agriculture +Cerrado,BAHIA,São Desidério,52.0,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,6.94,2021,agriculture +Caatinga,BAHIA,Cotegipe,4.71,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,20.81,2021,others +Mata Atlântica,BAHIA,Santa Luzia,14.92,2021,agriculture +Cerrado,BAHIA,Wanderley,17.06,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,324.81,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.22,2021,agriculture +Caatinga,BAHIA,Itapicuru,91.21,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,3.52,2021,agriculture +Caatinga,BAHIA,Iramaia,0.87,2021,agriculture +Caatinga,BAHIA,Buritirama,1.26,2021,agriculture +Caatinga,BAHIA,Mansidão,2.05,2021,agriculture +Caatinga,BAHIA,Mansidão,1.31,2021,agriculture +Caatinga,BAHIA,Barra,4.66,2021,agriculture +Caatinga,BAHIA,Jussara,5.91,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,89.73,2021,agriculture +Caatinga,BAHIA,Santana,5.34,2021,others +Caatinga,BAHIA,Barra,1.63,2021,others +Caatinga,BAHIA,Ibitiara,5.96,2021,others +Caatinga,BAHIA,Ponto Novo,18.69,2021,others +Mata Atlântica,BAHIA,Santa Inês,1.0,2021,agriculture +Caatinga,BAHIA,Monte Santo,11.18,2021,others +Caatinga,BAHIA,Uauá,121.57,2021,agriculture +Caatinga,BAHIA,Buritirama,21.3,2021,others +Caatinga,BAHIA,Piatã,6.12,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,10.16,2021,agriculture +Caatinga,BAHIA,Coribe,2.87,2021,agriculture +Caatinga,BAHIA,Canudos,7.94,2021,others +Cerrado,BAHIA,Barreiras,15.65,2021,agriculture +Caatinga,BAHIA,Sítio do Mato,76.05,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,349.29,2021,agriculture +Cerrado,BAHIA,Baianópolis,40.28,2021,agriculture +Caatinga,BAHIA,Malhada,49.15,2021,agriculture +Cerrado,BAHIA,Baianópolis,7.61,2021,agriculture +Caatinga,BAHIA,Lençóis,1.84,2021,agriculture +Mata Atlântica,BAHIA,Valença,3.38,2021,agriculture +Caatinga,BAHIA,Bonito,6.73,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,52.47,2021,agriculture +Caatinga,BAHIA,Remanso,12.02,2021,agriculture +Caatinga,BAHIA,Remanso,9.41,2021,agriculture +Cerrado,BAHIA,Catolândia,43.52,2021,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,4.59,2021,agriculture +Mata Atlântica,BAHIA,Lajedo do Tabocal,16.91,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,7.79,2022,agriculture +Mata Atlântica,BAHIA,Iguaí,8.15,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.48,2022,agriculture +Caatinga,BAHIA,Maracás,47.43,2022,agriculture +Mata Atlântica,BAHIA,Itororó,7.24,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,3.64,2022,agriculture +Cerrado,BAHIA,Baianópolis,883.36,2022,agriculture +Caatinga,BAHIA,Lagoa Real,12.05,2022,agriculture +Caatinga,BAHIA,Paratinga,2.41,2022,others +Caatinga,BAHIA,Muquém do São Francisco,4.83,2022,agriculture +Cerrado,BAHIA,Brejolândia,13.19,2022,agriculture +Cerrado,BAHIA,Canápolis,3.21,2022,agriculture +Caatinga,BAHIA,Itaberaba,14.53,2022,agriculture +Cerrado,BAHIA,Cristópolis,26.65,2022,agriculture +Mata Atlântica,BAHIA,Nova Viçosa,1.12,2022,agriculture +Mata Atlântica,BAHIA,Santa Luzia,10.19,2022,agriculture +Cerrado,BAHIA,São Desidério,155.56,2022,agriculture +Cerrado,BAHIA,Tanque Novo,1.24,2022,agriculture +Caatinga,BAHIA,Matina,15.24,2022,others +Caatinga,BAHIA,Paramirim,3.78,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.0,2022,others +Caatinga,BAHIA,Campo Formoso,2.6,2022,others +Cerrado,BAHIA,Riacho de Santana,1.07,2022,agriculture +Caatinga,BAHIA,Boquira,3.18,2022,others +Cerrado,BAHIA,Igaporã,4.19,2022,agriculture +Caatinga,BAHIA,Contendas do Sincorá,4.89,2022,others +Caatinga,BAHIA,Campo Formoso,4.02,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,14.06,2022,others +Caatinga,BAHIA,Guanambi,2.45,2022,agriculture +Cerrado,BAHIA,Tanque Novo,5.17,2022,agriculture +Caatinga,BAHIA,Paulo Afonso,1.11,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.9,2022,agriculture +Caatinga,BAHIA,Matina,1.41,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,3.58,2022,others +Caatinga,BAHIA,Matina,2.97,2022,others +Caatinga,BAHIA,Maracás,26.3,2022,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,5.57,2022,agriculture +Cerrado,BAHIA,Baianópolis,576.65,2022,agriculture +Cerrado,BAHIA,São Desidério,73.15,2022,agriculture +Mata Atlântica,BAHIA,Água Fria,27.09,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,0.67,2022,agriculture +Mata Atlântica,BAHIA,Ubatã,0.34,2022,agriculture +Mata Atlântica,BAHIA,Gandu,0.59,2022,agriculture +Caatinga,BAHIA,Cipó,22.79,2022,others +Caatinga,BAHIA,Conceição do Coité,9.87,2022,others +Cerrado,BAHIA,Caetité,6.91,2022,agriculture +Caatinga,BAHIA,Jeremoabo,27.43,2022,agriculture +Caatinga,BAHIA,Morpará,2.66,2022,others +Cerrado,BAHIA,Tabocas do Brejo Velho,20.7,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,2.99,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.08,2022,agriculture +Caatinga,BAHIA,Antônio Gonçalves,2.66,2022,others +Cerrado,BAHIA,Riachão das Neves,14.49,2022,urban_expansion +Caatinga,BAHIA,Juazeiro,10.4,2022,others +Caatinga,BAHIA,América Dourada,11.19,2022,others +Caatinga,BAHIA,Ituaçu,0.93,2022,others +Caatinga,BAHIA,Pindobaçu,23.66,2022,others +Caatinga,BAHIA,Coronel João Sá,46.6,2022,others +Caatinga,BAHIA,Coronel João Sá,3.36,2022,others +Caatinga,BAHIA,Caturama,19.31,2022,others +Cerrado,BAHIA,São Desidério,1325.6,2022,agriculture +Caatinga,BAHIA,Umburanas,1.95,2022,others +Caatinga,BAHIA,Jeremoabo,36.74,2022,others +Cerrado,BAHIA,Catolândia,3.66,2022,agriculture +Caatinga,BAHIA,Gentio do Ouro,0.95,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,29.15,2022,urban_expansion +Cerrado,BAHIA,Caetité,2.19,2022,agriculture +Caatinga,BAHIA,Brumado,7.31,2022,others +Caatinga,BAHIA,Aracatu,8.24,2022,others +Caatinga,BAHIA,Macaúbas,1.03,2022,others +Caatinga,BAHIA,Monte Santo,2.39,2022,others +Caatinga,BAHIA,Pilão Arcado,0.59,2022,others +Caatinga,BAHIA,Macaúbas,0.88,2022,others +Caatinga,BAHIA,Pilão Arcado,1.31,2022,agriculture +Caatinga,BAHIA,Tanque Novo,2.07,2022,others +Caatinga,BAHIA,Barra,0.33,2022,others +Caatinga,BAHIA,Tanhaçu,1.49,2022,others +Caatinga,BAHIA,Pilão Arcado,0.5,2022,others +Caatinga,BAHIA,Itiúba,2.12,2022,others +Caatinga,BAHIA,Milagres,19.42,2022,others +Caatinga,BAHIA,Riacho de Santana,2.96,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,9.46,2022,others +Caatinga,BAHIA,Santana,132.74,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,0.86,2022,others +Caatinga,BAHIA,Tanhaçu,15.12,2022,others +Cerrado,BAHIA,Igaporã,4.05,2022,agriculture +Caatinga,BAHIA,Buritirama,9.67,2022,others +Caatinga,BAHIA,Cansanção,5.56,2022,others +Caatinga,BAHIA,Caetanos,1.32,2022,others +Caatinga,BAHIA,Cocos,6.27,2022,others +Mata Atlântica,BAHIA,Valença,1.62,2022,urban_expansion +Mata Atlântica,BAHIA,Cardeal da Silva,1.89,2022,agriculture +Mata Atlântica,BAHIA,Valença,0.78,2022,agriculture +Mata Atlântica,BAHIA,Buerarema,0.54,2022,agriculture +Mata Atlântica,BAHIA,Maragogipe,1.8,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,10.5,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,92.17,2022,agriculture +Caatinga,BAHIA,Angical,3.93,2019,agriculture +Mata Atlântica,BAHIA,Ilhéus,2.49,2019,agriculture +Cerrado,BAHIA,Barreiras,37.88,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,0.31,2019,agriculture +Caatinga,BAHIA,Malhada,14.45,2019,agriculture +Caatinga,BAHIA,Serra do Ramalho,15.26,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,14.78,2019,agriculture +Cerrado,BAHIA,Serra Dourada,4.2,2019,agriculture +Caatinga,BAHIA,Carinhanha,11.74,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,1.94,2019,agriculture +Mata Atlântica,BAHIA,Santa Luzia,6.36,2019,agriculture +Mata Atlântica,BAHIA,Belo Campo,8.48,2019,agriculture +Caatinga,BAHIA,Angical,6.84,2019,agriculture +Caatinga,BAHIA,Angical,1.13,2019,agriculture +Caatinga,BAHIA,Barra,4.3,2019,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,5.56,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.63,2019,agriculture +Caatinga,BAHIA,Tapiramutá,6.28,2019,agriculture +Caatinga,BAHIA,Ibicoara,1.09,2019,agriculture +Caatinga,BAHIA,Morro do Chapéu,12.6,2019,agriculture +Caatinga,BAHIA,Antônio Gonçalves,1.59,2019,agriculture +Caatinga,BAHIA,Ituaçu,3.68,2019,agriculture +Caatinga,BAHIA,Mucugê,163.31,2019,agriculture +Caatinga,BAHIA,Piritiba,9.23,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,990.47,2019,agriculture +Caatinga,BAHIA,Wanderley,20.91,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,72.51,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,25.44,2019,agriculture +Cerrado,BAHIA,Barreiras,47.06,2019,agriculture +Cerrado,BAHIA,São Desidério,4.68,2019,agriculture +Caatinga,BAHIA,Serra Dourada,33.21,2019,agriculture +Cerrado,BAHIA,Barreiras,10.65,2019,agriculture +Cerrado,BAHIA,Brejolândia,24.37,2019,agriculture +Cerrado,BAHIA,São Desidério,96.54,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,233.57,2019,agriculture +Mata Atlântica,BAHIA,Itamaraju,7.06,2019,agriculture +Mata Atlântica,BAHIA,Encruzilhada,15.23,2019,agriculture +Mata Atlântica,BAHIA,Pojuca,5.28,2019,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,3.49,2019,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,2.71,2019,agriculture +Mata Atlântica,BAHIA,Itanagra,15.09,2019,agriculture +Mata Atlântica,BAHIA,Igrapiúna,29.96,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,3.54,2019,agriculture +Mata Atlântica,BAHIA,Dário Meira,1.3,2019,agriculture +Mata Atlântica,BAHIA,Camaçari,5.26,2019,urban_expansion +Cerrado,BAHIA,São Desidério,23.04,2020,agriculture +Caatinga,BAHIA,Angical,16.23,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,12.56,2020,agriculture +Cerrado,BAHIA,Coribe,343.75,2020,agriculture +Cerrado,BAHIA,Coribe,4.0,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,9.46,2020,agriculture +Cerrado,BAHIA,Correntina,40.77,2020,agriculture +Cerrado,BAHIA,Baianópolis,6.14,2020,agriculture +Cerrado,BAHIA,Cristópolis,11.07,2020,agriculture +Mata Atlântica,BAHIA,Itanagra,7.2,2020,agriculture +Mata Atlântica,BAHIA,Araçás,91.8,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,3.3,2020,agriculture +Mata Atlântica,BAHIA,Teolândia,2.11,2020,agriculture +Mata Atlântica,BAHIA,Teolândia,2.43,2020,agriculture +Mata Atlântica,BAHIA,Ibirataia,0.97,2020,agriculture +Mata Atlântica,BAHIA,Amargosa,2.52,2020,agriculture +Mata Atlântica,BAHIA,Nova Itarana,51.2,2020,agriculture +Mata Atlântica,BAHIA,Iguaí,1.88,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,21.77,2020,agriculture +Mata Atlântica,BAHIA,Belo Campo,15.8,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,27.83,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,17.19,2020,agriculture +Caatinga,BAHIA,Ibicoara,10.45,2020,agriculture +Caatinga,BAHIA,Contendas do Sincorá,6.1,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.48,2020,agriculture +Caatinga,BAHIA,Ribeira do Pombal,24.53,2020,agriculture +Cerrado,BAHIA,Cocos,37.57,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,9.2,2020,agriculture +Cerrado,BAHIA,São Desidério,333.56,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,26.95,2020,agriculture +Caatinga,BAHIA,Malhada,11.29,2020,agriculture +Cerrado,BAHIA,Barreiras,44.23,2020,agriculture +Caatinga,BAHIA,Cotegipe,5.8,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,10.3,2020,agriculture +Caatinga,BAHIA,Cocos,8.98,2020,agriculture +Cerrado,BAHIA,Barreiras,227.45,2020,agriculture +Caatinga,BAHIA,Santana,6.6,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,92.22,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,19.9,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,3.2,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,29.12,2020,agriculture +Mata Atlântica,BAHIA,Camacan,1.89,2020,agriculture +Cerrado,BAHIA,Cristópolis,21.08,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.67,2020,agriculture +Cerrado,BAHIA,Baianópolis,16.85,2020,agriculture +Cerrado,BAHIA,Coribe,8.9,2020,agriculture +Caatinga,BAHIA,Cocos,20.59,2020,agriculture +Caatinga,BAHIA,Brumado,2.99,2020,agriculture +Mata Atlântica,BAHIA,Itaquara,16.57,2020,agriculture +Caatinga,BAHIA,Mucugê,20.36,2020,agriculture +Caatinga,BAHIA,Brejolândia,47.95,2020,agriculture +Cerrado,BAHIA,Coribe,4.67,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,2.39,2020,agriculture +Caatinga,BAHIA,Condeúba,2.57,2020,agriculture +Mata Atlântica,BAHIA,Gandu,25.9,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.31,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,27.71,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,18.17,2020,agriculture +Mata Atlântica,BAHIA,Itagi,14.46,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,18.11,2020,agriculture +Caatinga,BAHIA,Paratinga,2.27,2020,agriculture +Caatinga,BAHIA,Paratinga,3.33,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,21.12,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,7.61,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,3.3,2020,agriculture +Caatinga,BAHIA,Coribe,5.2,2020,agriculture +Caatinga,BAHIA,Aracatu,2.14,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,1.4,2020,agriculture +Caatinga,BAHIA,Piatã,1.28,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,177.81,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,3.16,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,4.92,2020,agriculture +Mata Atlântica,BAHIA,Arataca,2.03,2020,agriculture +Mata Atlântica,BAHIA,Barro Preto,13.73,2020,agriculture +Mata Atlântica,BAHIA,Arataca,10.73,2020,agriculture +Mata Atlântica,BAHIA,Jucuruçu,3.81,2020,agriculture +Caatinga,BAHIA,Brumado,3.77,2020,agriculture +Caatinga,BAHIA,Urandi,3.5,2020,agriculture +Cerrado,BAHIA,Lagoa Real,3.31,2020,agriculture +Caatinga,BAHIA,Brumado,3.2,2020,agriculture +Caatinga,BAHIA,Brumado,1.47,2020,agriculture +Caatinga,BAHIA,Brumado,1.36,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.46,2020,agriculture +Caatinga,BAHIA,Xique-Xique,15.06,2020,agriculture +Caatinga,BAHIA,Ibiassucê,5.55,2020,agriculture +Caatinga,BAHIA,Buritirama,0.89,2020,agriculture +Mata Atlântica,BAHIA,Inhambupe,157.29,2020,agriculture +Caatinga,BAHIA,Seabra,7.48,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,8.15,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,32.64,2020,agriculture +Mata Atlântica,BAHIA,Maraú,2.96,2020,agriculture +Caatinga,BAHIA,Piritiba,2.14,2020,agriculture +Cerrado,BAHIA,São Desidério,248.69,2021,agriculture +Cerrado,BAHIA,Barreiras,41.55,2021,agriculture +Mata Atlântica,BAHIA,Camamu,3.11,2021,agriculture +Mata Atlântica,BAHIA,Guaratinga,12.81,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,66.51,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,9.89,2021,agriculture +Mata Atlântica,BAHIA,Pau Brasil,6.43,2021,agriculture +Mata Atlântica,BAHIA,Brejões,14.72,2021,agriculture +Mata Atlântica,BAHIA,Jitaúna,16.17,2021,agriculture +Mata Atlântica,BAHIA,Jucuruçu,4.93,2021,agriculture +Caatinga,BAHIA,Antônio Gonçalves,3.92,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,7.1,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,237.05,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,0.74,2021,agriculture +Mata Atlântica,BAHIA,Pedrão,8.26,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.18,2021,agriculture +Caatinga,BAHIA,Feira de Santana,43.29,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,25.41,2021,agriculture +Caatinga,BAHIA,Matina,3.28,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.05,2021,agriculture +Caatinga,BAHIA,Biritinga,13.92,2021,agriculture +Cerrado,BAHIA,Barreiras,28.28,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,19.27,2021,agriculture +Mata Atlântica,BAHIA,Caatiba,24.83,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.18,2021,agriculture +Cerrado,BAHIA,Jaborandi,9.08,2021,agriculture +Caatinga,BAHIA,Angical,4.78,2021,agriculture +Mata Atlântica,BAHIA,Jucuruçu,2.64,2021,agriculture +Cerrado,BAHIA,Angical,398.96,2021,agriculture +Mata Atlântica,BAHIA,Teolândia,5.21,2021,agriculture +Cerrado,BAHIA,Barreiras,100.23,2021,agriculture +Caatinga,BAHIA,Paramirim,4.2,2021,others +Cerrado,BAHIA,Riachão das Neves,18.02,2021,agriculture +Caatinga,BAHIA,Mucugê,0.73,2021,agriculture +Caatinga,BAHIA,Ibitiara,0.61,2021,agriculture +Caatinga,BAHIA,Boninal,1.87,2021,agriculture +Caatinga,BAHIA,Piritiba,5.37,2021,agriculture +Cerrado,BAHIA,Baianópolis,4.76,2021,agriculture +Caatinga,BAHIA,Cotegipe,6.17,2021,agriculture +Cerrado,BAHIA,São Desidério,10.0,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,8.72,2021,agriculture +Caatinga,BAHIA,Casa Nova,12.58,2021,agriculture +Caatinga,BAHIA,Quijingue,4.41,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,5.92,2021,agriculture +Cerrado,BAHIA,Cocos,150.17,2021,agriculture +Caatinga,BAHIA,Remanso,2.49,2021,others +Mata Atlântica,BAHIA,Santa Terezinha,11.96,2021,agriculture +Mata Atlântica,BAHIA,Jandaíra,2.18,2021,agriculture +Caatinga,BAHIA,Condeúba,5.46,2021,agriculture +Caatinga,BAHIA,Boninal,0.73,2021,agriculture +Cerrado,BAHIA,Catolândia,159.08,2021,agriculture +Caatinga,BAHIA,Ribeira do Pombal,44.27,2021,agriculture +Caatinga,BAHIA,Feira de Santana,46.04,2021,others +Caatinga,BAHIA,Iuiu,26.19,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,10.49,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,6.91,2021,agriculture +Mata Atlântica,BAHIA,Belo Campo,68.77,2021,agriculture +Caatinga,BAHIA,Tabocas do Brejo Velho,4.88,2021,others +Caatinga,BAHIA,Morro do Chapéu,1.45,2021,others +Caatinga,BAHIA,Mansidão,1.7,2020,agriculture +Caatinga,BAHIA,Cotegipe,1.92,2020,others +Caatinga,BAHIA,Malhada,1.05,2020,others +Cerrado,BAHIA,São Desidério,2.91,2020,agriculture +Caatinga,BAHIA,Angical,0.64,2020,others +Caatinga,BAHIA,Angical,4.07,2020,others +Caatinga,BAHIA,Barra,5.3,2020,others +Caatinga,BAHIA,Barra,3.36,2020,agriculture +Cerrado,BAHIA,Cotegipe,2.15,2020,agriculture +Caatinga,BAHIA,Barra,1.2,2020,others +Caatinga,BAHIA,Cotegipe,1.04,2020,agriculture +Caatinga,BAHIA,Cotegipe,5.74,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,2.0,2020,agriculture +Caatinga,BAHIA,Malhada,1.31,2020,agriculture +Caatinga,BAHIA,Tabocas do Brejo Velho,7.1,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,2.97,2020,agriculture +Caatinga,BAHIA,Brejolândia,4.29,2020,agriculture +Cerrado,BAHIA,Brejolândia,1.24,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,2.81,2020,others +Caatinga,BAHIA,Coribe,4.8,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,1.51,2020,agriculture +Cerrado,BAHIA,São Desidério,4.03,2020,agriculture +Cerrado,BAHIA,Correntina,1.56,2020,agriculture +Caatinga,BAHIA,Santana,0.17,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,4.98,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.87,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,3.83,2020,agriculture +Caatinga,BAHIA,Serra Dourada,84.67,2020,agriculture +Caatinga,BAHIA,Buritirama,1.84,2020,agriculture +Caatinga,BAHIA,Buritirama,12.89,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,16.2,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.67,2020,others +Caatinga,BAHIA,Buritirama,0.7,2020,others +Caatinga,BAHIA,Bom Jesus da Lapa,3.31,2020,others +Caatinga,BAHIA,Bom Jesus da Lapa,10.29,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.5,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.66,2020,agriculture +Caatinga,BAHIA,Angical,5.61,2020,others +Cerrado,BAHIA,Riachão das Neves,6.03,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,871.51,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,8.37,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,12.06,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.11,2020,agriculture +Caatinga,BAHIA,Cocos,17.16,2020,others +Cerrado,BAHIA,Cocos,8.94,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.75,2020,others +Caatinga,BAHIA,Carinhanha,0.56,2020,agriculture +Caatinga,BAHIA,Carinhanha,8.95,2020,agriculture +Caatinga,BAHIA,Carinhanha,0.6,2020,agriculture +Cerrado,BAHIA,Baianópolis,2.17,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,1.64,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,4.55,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.86,2021,agriculture +Caatinga,BAHIA,Serrinha,8.27,2021,others +Caatinga,BAHIA,Araci,10.01,2021,agriculture +Caatinga,BAHIA,Araci,0.79,2021,agriculture +Caatinga,BAHIA,Cordeiros,0.37,2021,others +Caatinga,BAHIA,Buritirama,0.67,2021,others +Caatinga,BAHIA,Boninal,0.99,2021,agriculture +Caatinga,BAHIA,Mirangaba,0.33,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,3.89,2021,agriculture +Caatinga,BAHIA,Jacaraci,10.65,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,17.63,2021,agriculture +Mata Atlântica,BAHIA,Itanagra,2.26,2021,agriculture +Mata Atlântica,BAHIA,Itagibá,19.88,2021,mining +Caatinga,BAHIA,Mansidão,2.41,2021,agriculture +Caatinga,BAHIA,Vitória da Conquista,1.74,2021,others +Caatinga,BAHIA,Jaborandi,5.45,2021,agriculture +Mata Atlântica,BAHIA,Camaçari,1.4,2021,agriculture +Caatinga,BAHIA,Mundo Novo,11.23,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,0.65,2021,agriculture +Caatinga,BAHIA,Miguel Calmon,27.56,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,21.73,2021,others +Caatinga,BAHIA,Jeremoabo,309.98,2021,others +Caatinga,BAHIA,Adustina,13.7,2021,others +Caatinga,BAHIA,Sítio do Quinto,13.17,2021,others +Caatinga,BAHIA,Sítio do Quinto,18.99,2021,others +Caatinga,BAHIA,Rio do Antônio,0.79,2021,agriculture +Caatinga,BAHIA,Feira da Mata,3.81,2021,others +Mata Atlântica,BAHIA,Mascote,2.49,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,4.92,2021,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,87.27,2021,others +Mata Atlântica,BAHIA,Ilhéus,2.17,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,33.63,2021,agriculture +Caatinga,BAHIA,Seabra,5.55,2021,agriculture +Caatinga,BAHIA,Juazeiro,245.07,2021,agriculture +Caatinga,BAHIA,Malhada,13.66,2021,others +Caatinga,BAHIA,Riacho de Santana,5.34,2021,agriculture +Caatinga,BAHIA,Iuiu,21.09,2021,agriculture +Caatinga,BAHIA,Tucano,10.73,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,3.55,2021,others +Mata Atlântica,BAHIA,Canavieiras,0.78,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,2.52,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,1.81,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,3.7,2021,agriculture +Caatinga,BAHIA,Feira da Mata,24.16,2021,agriculture +Caatinga,BAHIA,Feira da Mata,17.46,2021,agriculture +Caatinga,BAHIA,Malhada,30.73,2021,others +Caatinga,BAHIA,Ibicoara,2.41,2021,agriculture +Caatinga,BAHIA,Wanderley,1.67,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,11.78,2021,agriculture +Caatinga,BAHIA,Barra da Estiva,1.77,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,36.23,2021,agriculture +Caatinga,BAHIA,Buritirama,3.99,2021,agriculture +Caatinga,BAHIA,Mansidão,8.54,2021,others +Caatinga,BAHIA,Buritirama,0.96,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.81,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.71,2021,others +Caatinga,BAHIA,Wanderley,26.58,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,9.4,2021,agriculture +Caatinga,BAHIA,Caturama,8.26,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.95,2021,agriculture +Caatinga,BAHIA,Sento Sé,5.38,2021,others +Caatinga,BAHIA,Paratinga,8.56,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,51.13,2021,others +Caatinga,BAHIA,Ibitiara,12.02,2021,agriculture +Caatinga,BAHIA,Lajedinho,11.43,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,13.46,2021,agriculture +Caatinga,BAHIA,Umburanas,1.36,2021,others +Caatinga,BAHIA,Santana,82.59,2021,agriculture +Caatinga,BAHIA,Campo Formoso,0.23,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,38.09,2021,others +Caatinga,BAHIA,Paratinga,13.9,2021,agriculture +Caatinga,BAHIA,Coribe,8.73,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,4.86,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.41,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,15.96,2021,others +Caatinga,BAHIA,Bom Jesus da Lapa,2.09,2021,others +Caatinga,BAHIA,Campo Alegre de Lourdes,0.77,2021,others +Caatinga,BAHIA,Licínio de Almeida,1.6,2021,others +Caatinga,BAHIA,Riacho de Santana,9.36,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,6.5,2021,agriculture 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+Cerrado,BAHIA,Luís Eduardo Magalhães,232.76,2022,agriculture +Mata Atlântica,BAHIA,Jaguaripe,1.93,2022,agriculture +Mata Atlântica,BAHIA,Cardeal da Silva,3.49,2022,agriculture +Mata Atlântica,BAHIA,Jequié,7.64,2022,agriculture +Cerrado,BAHIA,Correntina,1544.58,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,21.92,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,778.99,2022,agriculture +Caatinga,BAHIA,Lagoa Real,7.02,2022,others +Caatinga,BAHIA,Macaúbas,2.1,2022,others +Cerrado,BAHIA,Tanque Novo,3.47,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.37,2022,others +Caatinga,BAHIA,Matina,6.56,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,3.03,2022,agriculture +Caatinga,BAHIA,Santa Brígida,4.03,2022,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,27.3,2022,agriculture +Cerrado,BAHIA,Macaúbas,3.67,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.99,2022,agriculture +Caatinga,BAHIA,Sátiro Dias,41.0,2022,agriculture +Caatinga,BAHIA,Igaporã,3.82,2022,agriculture 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Nova,15.16,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,18.84,2022,agriculture +Cerrado,BAHIA,São Desidério,200.91,2022,agriculture +Caatinga,BAHIA,Maetinga,2.87,2022,others +Caatinga,BAHIA,Jeremoabo,5.7,2022,others +Caatinga,BAHIA,Pilão Arcado,2.26,2022,others +Caatinga,BAHIA,Itiúba,1.06,2022,others +Caatinga,BAHIA,Buritirama,0.99,2022,others +Caatinga,BAHIA,Ribeira do Pombal,31.89,2022,others +Caatinga,BAHIA,Boninal,26.73,2022,others +Caatinga,BAHIA,Marcionílio Souza,2.56,2022,others +Caatinga,BAHIA,Monte Santo,3.09,2022,others +Caatinga,BAHIA,Boninal,0.26,2022,others +Mata Atlântica,BAHIA,Maraú,0.8,2022,agriculture +Mata Atlântica,BAHIA,Maraú,5.57,2022,agriculture +Caatinga,BAHIA,Aporá,3.2,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,4.67,2022,agriculture +Cerrado,BAHIA,Cristópolis,46.83,2022,agriculture +Caatinga,BAHIA,Jeremoabo,9.68,2019,agriculture +Caatinga,BAHIA,Carinhanha,2.92,2019,agriculture +Cerrado,BAHIA,Jaborandi,123.3,2019,agriculture +Caatinga,BAHIA,Muquém do São Francisco,18.51,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,5.39,2019,agriculture +Cerrado,BAHIA,Cocos,42.01,2019,agriculture +Caatinga,BAHIA,Coribe,21.4,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,30.74,2019,agriculture +Caatinga,BAHIA,Santana,6.34,2019,agriculture +Mata Atlântica,BAHIA,Aiquara,25.09,2019,agriculture +Mata Atlântica,BAHIA,Caatiba,2.35,2019,agriculture +Mata Atlântica,BAHIA,Caatiba,12.82,2019,agriculture +Cerrado,BAHIA,Jaborandi,229.64,2019,agriculture +Cerrado,BAHIA,Catolândia,7.06,2019,agriculture +Cerrado,BAHIA,Baianópolis,0.31,2019,agriculture +Caatinga,BAHIA,Angical,57.53,2019,agriculture +Caatinga,BAHIA,Maetinga,3.3,2019,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.53,2019,agriculture +Caatinga,BAHIA,Morro do Chapéu,23.43,2019,agriculture +Caatinga,BAHIA,Canudos,2.48,2019,agriculture +Cerrado,BAHIA,São Desidério,34.17,2019,agriculture +Cerrado,BAHIA,Brejolândia,65.06,2019,agriculture +Cerrado,BAHIA,Cristópolis,26.52,2019,agriculture +Cerrado,BAHIA,São Desidério,35.54,2019,agriculture +Cerrado,BAHIA,Correntina,117.59,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,20.29,2019,agriculture +Caatinga,BAHIA,Muquém do São Francisco,71.89,2019,agriculture +Cerrado,BAHIA,Jaborandi,405.08,2019,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,3.41,2019,agriculture +Mata Atlântica,BAHIA,Pau Brasil,9.79,2019,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,1.08,2019,agriculture +Mata Atlântica,BAHIA,Camamu,0.93,2019,agriculture +Mata Atlântica,BAHIA,Teolândia,1.15,2019,agriculture +Mata Atlântica,BAHIA,Encruzilhada,19.57,2019,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,18.63,2019,agriculture +Mata Atlântica,BAHIA,Dário Meira,14.97,2019,agriculture +Cerrado,BAHIA,São Desidério,6.87,2020,agriculture +Caatinga,BAHIA,Buritirama,18.17,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,35.52,2020,agriculture +Cerrado,BAHIA,Mansidão,8.44,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,2.76,2020,agriculture +Cerrado,BAHIA,Cotegipe,93.42,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,124.54,2020,agriculture +Cerrado,BAHIA,Correntina,1.66,2020,agriculture +Mata Atlântica,BAHIA,Cardeal da Silva,2.25,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,8.5,2020,agriculture +Mata Atlântica,BAHIA,Camamu,17.34,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,1.14,2020,agriculture +Mata Atlântica,BAHIA,Alcobaça,10.18,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,0.73,2020,agriculture +Caatinga,BAHIA,Antônio Gonçalves,2.11,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,1.48,2020,agriculture +Caatinga,BAHIA,Condeúba,28.28,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,15.47,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,15.65,2020,agriculture +Caatinga,BAHIA,Pintadas,6.41,2020,agriculture +Caatinga,BAHIA,Maracás,12.16,2020,agriculture +Caatinga,BAHIA,Canudos,5.07,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,15.99,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,10.78,2020,agriculture +Cerrado,BAHIA,Correntina,66.15,2020,agriculture +Caatinga,BAHIA,Pedro Alexandre,4.37,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,18.73,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,20.49,2020,agriculture +Caatinga,BAHIA,Jaborandi,34.93,2020,agriculture +Cerrado,BAHIA,Correntina,8.67,2020,agriculture +Mata Atlântica,BAHIA,Aiquara,1.23,2020,agriculture +Mata Atlântica,BAHIA,Jaguaquara,11.77,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,7.3,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,72.96,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,18.78,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,2.02,2020,agriculture +Mata Atlântica,BAHIA,Catu,3.4,2020,agriculture +Cerrado,BAHIA,Baianópolis,42.4,2020,agriculture +Caatinga,BAHIA,Mansidão,41.59,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.96,2020,agriculture +Caatinga,BAHIA,Malhada,16.67,2020,agriculture +Cerrado,BAHIA,São Desidério,7.01,2020,agriculture +Caatinga,BAHIA,Angical,3.36,2020,agriculture +Caatinga,BAHIA,Maracás,4.25,2020,agriculture +Caatinga,BAHIA,Feira da Mata,18.0,2020,agriculture +Cerrado,BAHIA,Baianópolis,6.89,2020,agriculture +Caatinga,BAHIA,Paratinga,9.38,2020,agriculture +Caatinga,BAHIA,Paramirim,3.32,2020,agriculture +Mata Atlântica,BAHIA,Alagoinhas,1.54,2020,agriculture +Mata Atlântica,BAHIA,Camacan,4.8,2020,agriculture +Mata Atlântica,BAHIA,Nova Itarana,15.37,2020,agriculture +Caatinga,BAHIA,Carinhanha,20.23,2020,agriculture +Mata Atlântica,BAHIA,Jandaíra,8.58,2020,agriculture +Cerrado,BAHIA,Correntina,3.57,2020,agriculture +Caatinga,BAHIA,Coribe,2.82,2020,agriculture +Cerrado,BAHIA,Baianópolis,11.13,2020,agriculture +Caatinga,BAHIA,Cocos,19.92,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,14.63,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,8.34,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.78,2020,agriculture +Caatinga,BAHIA,Araci,9.06,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.18,2020,agriculture +Caatinga,BAHIA,Urandi,3.1,2020,agriculture +Caatinga,BAHIA,Botuporã,2.95,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,3.14,2020,agriculture +Caatinga,BAHIA,Santaluz,39.82,2020,agriculture +Caatinga,BAHIA,Jussiape,7.11,2020,agriculture +Caatinga,BAHIA,Brejolândia,12.98,2020,agriculture +Caatinga,BAHIA,Paramirim,2.05,2020,agriculture +Caatinga,BAHIA,Planaltino,76.37,2020,agriculture +Cerrado,BAHIA,Correntina,117.51,2020,agriculture +Caatinga,BAHIA,Malhada,12.03,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,7.95,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,105.86,2020,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.07,2020,agriculture +Caatinga,BAHIA,Morpará,9.09,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.72,2020,agriculture +Mata Atlântica,BAHIA,Itaquara,3.36,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,4.46,2020,agriculture +Caatinga,BAHIA,Urandi,1.37,2020,agriculture +Caatinga,BAHIA,Macaúbas,16.96,2020,agriculture +Mata Atlântica,BAHIA,Iguaí,24.66,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.91,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,10.42,2020,agriculture +Caatinga,BAHIA,Rio do Pires,5.39,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,163.15,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,29.42,2020,agriculture +Caatinga,BAHIA,Barra,6.95,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,3.97,2020,agriculture +Mata Atlântica,BAHIA,Una,3.79,2020,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,2.58,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,4.31,2020,agriculture +Caatinga,BAHIA,Casa Nova,14.93,2020,agriculture +Caatinga,BAHIA,Cotegipe,5.1,2020,agriculture +Cerrado,BAHIA,Caetité,8.35,2020,agriculture +Caatinga,BAHIA,Macaúbas,5.93,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,10.2,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,2.03,2020,agriculture +Caatinga,BAHIA,Ibicoara,2.2,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,306.83,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.81,2021,agriculture +Mata Atlântica,BAHIA,Valença,6.85,2021,agriculture +Caatinga,BAHIA,Gentio do Ouro,3.18,2021,agriculture +Cerrado,BAHIA,Caetité,3.28,2021,agriculture +Caatinga,BAHIA,Feira de Santana,6.74,2021,urban_expansion +Caatinga,BAHIA,Santa Rita de Cássia,6.97,2021,agriculture +Caatinga,BAHIA,Itapicuru,145.49,2021,agriculture +Mata Atlântica,BAHIA,Alagoinhas,15.79,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,52.6,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,38.32,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,20.55,2021,agriculture +Mata Atlântica,BAHIA,Itanagra,13.07,2021,agriculture +Mata Atlântica,BAHIA,Camamu,1.76,2021,agriculture +Mata Atlântica,BAHIA,Macarani,10.84,2021,agriculture +Mata Atlântica,BAHIA,Barra do Choça,4.05,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,22.86,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,317.17,2021,agriculture +Cerrado,BAHIA,Catolândia,12.62,2021,agriculture +Caatinga,BAHIA,Wanderley,116.51,2021,agriculture +Mata Atlântica,BAHIA,Itapitanga,1.41,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,3.16,2021,agriculture +Mata Atlântica,BAHIA,Nova Ibiá,3.26,2021,agriculture +Mata Atlântica,BAHIA,Itagibá,29.27,2021,agriculture +Cerrado,BAHIA,Barreiras,8.2,2021,agriculture +Caatinga,BAHIA,Mundo Novo,11.09,2021,agriculture +Caatinga,BAHIA,Boninal,0.94,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,40.59,2021,agriculture +Caatinga,BAHIA,Boninal,0.76,2021,agriculture +Cerrado,BAHIA,São Desidério,5.54,2021,agriculture +Caatinga,BAHIA,Rafael Jambeiro,4.43,2021,agriculture +Cerrado,BAHIA,Cristópolis,0.58,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,11.93,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,0.7,2021,agriculture +Caatinga,BAHIA,Piritiba,15.48,2021,agriculture +Caatinga,BAHIA,Casa Nova,2.81,2021,agriculture +Caatinga,BAHIA,Casa Nova,2.7,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,13.46,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,6.26,2021,agriculture +Mata Atlântica,BAHIA,Cardeal da Silva,1.74,2021,agriculture +Mata Atlântica,BAHIA,Una,1.99,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,6.52,2021,agriculture +Caatinga,BAHIA,Mucugê,33.7,2021,agriculture +Cerrado,BAHIA,Mortugaba,26.94,2021,agriculture +Caatinga,BAHIA,Brejões,13.78,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,12.68,2021,others +Caatinga,BAHIA,Buritirama,4.13,2021,agriculture +Caatinga,BAHIA,Carinhanha,2.21,2021,agriculture +Caatinga,BAHIA,Carinhanha,6.24,2021,others +Cerrado,BAHIA,Correntina,3.62,2020,agriculture +Cerrado,BAHIA,São Desidério,72.15,2020,agriculture +Cerrado,BAHIA,São Desidério,2.14,2020,agriculture +Caatinga,BAHIA,Angical,0.38,2020,agriculture +Caatinga,BAHIA,Angical,5.68,2020,others +Caatinga,BAHIA,Angical,1.04,2020,others +Cerrado,BAHIA,Riachão das Neves,14.35,2020,agriculture +Caatinga,BAHIA,Cotegipe,14.0,2020,others +Cerrado,BAHIA,Catolândia,9.85,2020,agriculture +Caatinga,BAHIA,Barra,1.13,2020,others +Caatinga,BAHIA,Muquém do São Francisco,0.71,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.83,2020,agriculture +Caatinga,BAHIA,Barra,6.03,2020,others +Caatinga,BAHIA,Barra,9.27,2020,others +Caatinga,BAHIA,Barra,0.88,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.08,2020,agriculture +Caatinga,BAHIA,Barra,1.73,2020,others +Caatinga,BAHIA,Buritirama,3.93,2020,agriculture +Caatinga,BAHIA,Barra,0.88,2020,agriculture +Caatinga,BAHIA,Cotegipe,0.55,2020,agriculture +Cerrado,BAHIA,Cotegipe,15.96,2020,agriculture +Cerrado,BAHIA,Cotegipe,7.86,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,15.82,2020,others +Caatinga,BAHIA,Palmas de Monte Alto,2.15,2020,agriculture +Caatinga,BAHIA,Brejolândia,0.49,2020,agriculture +Cerrado,BAHIA,Baianópolis,1.38,2020,agriculture +Caatinga,BAHIA,Carinhanha,10.49,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,7.8,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,1.5,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,2.34,2020,agriculture +Caatinga,BAHIA,Canápolis,3.07,2020,agriculture +Caatinga,BAHIA,Canápolis,3.23,2020,agriculture +Caatinga,BAHIA,Canápolis,4.64,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,3.51,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,8.72,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,2.25,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,5.48,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,6.52,2020,agriculture +Cerrado,BAHIA,Correntina,3.03,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,1.58,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.59,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,2.0,2020,agriculture +Cerrado,BAHIA,Brejolândia,3.2,2020,agriculture +Caatinga,BAHIA,Brejolândia,7.0,2020,agriculture +Caatinga,BAHIA,Buritirama,1.12,2020,agriculture +Caatinga,BAHIA,Buritirama,0.85,2020,others +Caatinga,BAHIA,Buritirama,1.9,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,1.91,2020,agriculture +Caatinga,BAHIA,Pilão Arcado,0.5,2020,others +Caatinga,BAHIA,Bom Jesus da Lapa,21.25,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,15.74,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,6.02,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,3.09,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,13.45,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,0.89,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,4.06,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,0.71,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.8,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.44,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,3.25,2020,others +Caatinga,BAHIA,Cocos,1.76,2020,others +Cerrado,BAHIA,Cocos,18.52,2020,agriculture +Caatinga,BAHIA,Carinhanha,4.17,2020,agriculture +Caatinga,BAHIA,Carinhanha,2.02,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,2.88,2021,agriculture +Caatinga,BAHIA,Candiba,3.24,2021,others +Caatinga,BAHIA,Campo Formoso,1.86,2021,agriculture +Mata Atlântica,BAHIA,Milagres,1.83,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,4.61,2021,agriculture +Caatinga,BAHIA,Mirangaba,1.21,2021,agriculture +Caatinga,BAHIA,Jaguarari,0.6,2021,agriculture +Mata Atlântica,BAHIA,Cravolândia,2.79,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,26.58,2021,agriculture +Caatinga,BAHIA,Macaúbas,6.05,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,28.29,2021,agriculture +Caatinga,BAHIA,Caturama,2.39,2021,others +Caatinga,BAHIA,Guajeru,14.32,2021,others +Cerrado,BAHIA,Barreiras,712.86,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,928.16,2021,agriculture +Cerrado,BAHIA,São Desidério,460.72,2021,agriculture +Cerrado,BAHIA,Barreiras,229.72,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,0.49,2021,agriculture +Mata Atlântica,BAHIA,Itabela,0.79,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,7.55,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,0.77,2021,others +Caatinga,BAHIA,Ribeira do Amparo,23.28,2021,others +Caatinga,BAHIA,Cotegipe,2.5,2021,agriculture +Caatinga,BAHIA,Jacobina,0.64,2021,agriculture +Caatinga,BAHIA,Anagé,3.04,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,11.83,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,4.23,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,4.65,2021,agriculture +Cerrado,BAHIA,Barreiras,4.89,2021,agriculture +Caatinga,BAHIA,Sítio do Quinto,0.2,2021,agriculture +Caatinga,BAHIA,Jacaraci,5.97,2021,agriculture +Caatinga,BAHIA,Brumado,8.72,2021,agriculture +Caatinga,BAHIA,Brumado,4.44,2021,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,3.6,2021,agriculture +Mata Atlântica,BAHIA,Coaraci,17.78,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,23.78,2021,agriculture +Caatinga,BAHIA,Angical,2.83,2021,others +Cerrado,BAHIA,Santa Maria da Vitória,21.86,2021,agriculture +Caatinga,BAHIA,Buritirama,12.23,2021,others +Mata Atlântica,BAHIA,Canavieiras,0.4,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,35.28,2021,agriculture +Caatinga,BAHIA,Serra Dourada,19.13,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,16.46,2021,agriculture +Caatinga,BAHIA,Utinga,7.52,2021,agriculture +Mata Atlântica,BAHIA,Ibirataia,3.42,2021,agriculture +Caatinga,BAHIA,Coribe,25.84,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,2.41,2021,agriculture +Caatinga,BAHIA,Olindina,52.02,2021,agriculture +Caatinga,BAHIA,Brumado,1.94,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.5,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,0.4,2021,agriculture +Caatinga,BAHIA,Buritirama,0.5,2021,agriculture +Caatinga,BAHIA,Buritirama,0.95,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.61,2021,agriculture +Caatinga,BAHIA,Itaguaçu da Bahia,2.41,2021,agriculture +Caatinga,BAHIA,Botuporã,1.27,2021,agriculture +Caatinga,BAHIA,Feira da Mata,92.04,2021,others +Caatinga,BAHIA,Barra,6.78,2021,agriculture +Caatinga,BAHIA,Andaraí,7.92,2021,agriculture +Caatinga,BAHIA,Campo Formoso,2.91,2021,agriculture +Caatinga,BAHIA,Campo Formoso,3.62,2021,agriculture +Caatinga,BAHIA,Feira da Mata,4.36,2021,agriculture +Caatinga,BAHIA,Feira da Mata,7.54,2021,others +Caatinga,BAHIA,Boquira,2.4,2021,others +Cerrado,BAHIA,Caetité,1.85,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.49,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,225.41,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,28.81,2021,urban_expansion +Caatinga,BAHIA,Buritirama,4.07,2021,others +Caatinga,BAHIA,Campo Alegre de Lourdes,3.9,2021,others +Caatinga,BAHIA,Urandi,1.6,2021,others +Caatinga,BAHIA,Umburanas,0.84,2021,agriculture +Mata Atlântica,BAHIA,Água Fria,156.15,2021,urban_expansion +Caatinga,BAHIA,Santa Maria da Vitória,43.52,2021,agriculture +Caatinga,BAHIA,Miguel Calmon,3.83,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,0.4,2021,agriculture +Caatinga,BAHIA,Cotegipe,11.86,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,7.92,2021,agriculture +Mata Atlântica,BAHIA,Iguaí,1.44,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.59,2022,agriculture +Mata Atlântica,BAHIA,Entre Rios,1.57,2022,agriculture +Mata Atlântica,BAHIA,Nova Canaã,7.06,2022,agriculture +Mata Atlântica,BAHIA,Itambé,1.0,2022,agriculture +Mata Atlântica,BAHIA,Nova Canaã,0.74,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,58.4,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,2.5,2022,agriculture +Mata Atlântica,BAHIA,Santa Luzia,0.54,2022,agriculture +Mata Atlântica,BAHIA,Tremedal,0.87,2022,agriculture +Mata Atlântica,BAHIA,Itambé,6.05,2022,agriculture +Mata Atlântica,BAHIA,Itarantim,2.32,2022,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.12,2022,agriculture +Cerrado,BAHIA,São Desidério,1845.38,2022,agriculture +Cerrado,BAHIA,São Desidério,601.68,2022,agriculture +Cerrado,BAHIA,Cotegipe,26.62,2022,agriculture +Cerrado,BAHIA,Coribe,31.42,2022,agriculture +Cerrado,BAHIA,Jaborandi,33.31,2022,agriculture +Caatinga,BAHIA,Remanso,3.55,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,2.09,2022,agriculture +Caatinga,BAHIA,Manoel Vitorino,13.92,2022,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,3.08,2022,agriculture +Caatinga,BAHIA,Ibotirama,3.51,2022,others +Caatinga,BAHIA,Itaberaba,7.11,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,323.44,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,47.68,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,5.75,2022,agriculture +Mata Atlântica,BAHIA,Ibirapuã,14.88,2022,agriculture +Mata Atlântica,BAHIA,Rio Real,1.28,2022,agriculture +Mata Atlântica,BAHIA,Aporá,5.25,2022,agriculture +Caatinga,BAHIA,Ichu,3.87,2022,agriculture +Cerrado,BAHIA,Tanque Novo,0.8,2022,agriculture +Caatinga,BAHIA,Matina,2.74,2022,others +Caatinga,BAHIA,Riacho de Santana,1.0,2022,others +Caatinga,BAHIA,Pindobaçu,22.12,2022,others +Caatinga,BAHIA,Nova Soure,4.18,2022,agriculture +Caatinga,BAHIA,Macaúbas,1.86,2022,agriculture +Caatinga,BAHIA,Jeremoabo,323.22,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.08,2022,agriculture +Caatinga,BAHIA,Sento Sé,3.92,2022,agriculture +Caatinga,BAHIA,Ribeira do Amparo,16.39,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.79,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.31,2022,agriculture +Caatinga,BAHIA,Antônio Gonçalves,0.62,2022,others +Caatinga,BAHIA,Novo Horizonte,1.82,2022,others +Caatinga,BAHIA,Nova Soure,11.95,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,2.74,2022,agriculture +Caatinga,BAHIA,Paratinga,1.26,2022,others +Cerrado,BAHIA,Igaporã,0.51,2022,agriculture +Cerrado,BAHIA,Igaporã,4.54,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,4.25,2022,agriculture +Cerrado,BAHIA,Baianópolis,17.55,2022,agriculture +Cerrado,BAHIA,Correntina,47.3,2022,agriculture +Mata Atlântica,BAHIA,Guaratinga,4.02,2022,agriculture +Mata Atlântica,BAHIA,Valença,0.73,2022,agriculture +Mata Atlântica,BAHIA,Taperoá,0.57,2022,agriculture +Caatinga,BAHIA,Paramirim,6.92,2022,others +Caatinga,BAHIA,Cotegipe,3.62,2022,agriculture +Caatinga,BAHIA,Igaporã,10.33,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,5.36,2022,others +Caatinga,BAHIA,Jeremoabo,3.59,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,19.13,2022,agriculture +Caatinga,BAHIA,Feira da Mata,20.59,2022,urban_expansion +Caatinga,BAHIA,Presidente Jânio Quadros,2.04,2022,others +Cerrado,BAHIA,Catolândia,9.6,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,8.87,2022,others +Caatinga,BAHIA,Aracatu,2.23,2022,agriculture +Caatinga,BAHIA,Brumado,16.91,2022,agriculture +Caatinga,BAHIA,Jaborandi,76.4,2022,others +Caatinga,BAHIA,Jeremoabo,105.66,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,2.53,2022,others +Caatinga,BAHIA,Mucugê,1.1,2022,others +Caatinga,BAHIA,Saúde,9.5,2022,others +Cerrado,BAHIA,Cotegipe,38.95,2022,agriculture +Caatinga,BAHIA,Serra Dourada,16.3,2022,others +Caatinga,BAHIA,Sobradinho,13.78,2022,others +Caatinga,BAHIA,Jeremoabo,1.36,2022,others +Caatinga,BAHIA,Antônio Gonçalves,5.89,2022,others +Cerrado,BAHIA,Correntina,208.08,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,94.42,2022,agriculture +Cerrado,BAHIA,Baianópolis,17.18,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.82,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,10.16,2022,agriculture +Cerrado,BAHIA,Barreiras,220.56,2022,agriculture +Caatinga,BAHIA,Buritirama,1.25,2022,others +Caatinga,BAHIA,Sento Sé,10.8,2022,others +Caatinga,BAHIA,Aracatu,4.98,2022,others +Caatinga,BAHIA,Buritirama,0.62,2022,others +Caatinga,BAHIA,Monte Santo,49.07,2022,agriculture +Caatinga,BAHIA,Aracatu,1.28,2022,others +Caatinga,BAHIA,Pilão Arcado,1.99,2022,others +Caatinga,BAHIA,Pilão Arcado,1.75,2022,others +Caatinga,BAHIA,Uauá,0.26,2022,others +Caatinga,BAHIA,Ribeira do Amparo,4.35,2022,others +Caatinga,BAHIA,Andorinha,1.23,2022,others +Caatinga,BAHIA,Cordeiros,3.36,2022,others +Caatinga,BAHIA,Feira da Mata,4.95,2022,others +Caatinga,BAHIA,Condeúba,4.62,2022,others +Cerrado,BAHIA,Canápolis,0.45,2022,agriculture +Mata Atlântica,BAHIA,Ipiaú,1.21,2022,agriculture +Mata Atlântica,BAHIA,Igrapiúna,0.78,2022,agriculture +Mata Atlântica,BAHIA,Jaguaripe,0.59,2022,agriculture +Mata Atlântica,BAHIA,Esplanada,5.08,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,48.36,2022,agriculture +Cerrado,BAHIA,Correntina,158.26,2022,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.87,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,249.4,2019,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,1.93,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,21.24,2019,agriculture +Cerrado,BAHIA,Barreiras,10.33,2019,agriculture +Mata Atlântica,BAHIA,Itagibá,5.21,2019,agriculture +Mata Atlântica,BAHIA,Itapebi,1.65,2019,agriculture +Caatinga,BAHIA,Buritirama,8.35,2019,agriculture +Mata Atlântica,BAHIA,Teolândia,8.63,2019,agriculture +Cerrado,BAHIA,Cristópolis,7.86,2019,agriculture +Caatinga,BAHIA,São Félix do Coribe,1.94,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,247.97,2019,agriculture +Cerrado,BAHIA,Caetité,3.82,2019,agriculture +Caatinga,BAHIA,Morro do Chapéu,3.03,2019,agriculture +Caatinga,BAHIA,Bonito,1.47,2019,agriculture +Caatinga,BAHIA,Santa Terezinha,102.34,2019,agriculture +Cerrado,BAHIA,Barreiras,408.2,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.45,2019,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,55.57,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,11.43,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,790.32,2019,agriculture +Cerrado,BAHIA,Baianópolis,13.25,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,255.35,2019,agriculture +Caatinga,BAHIA,Iuiu,8.33,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,7.82,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,182.87,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,889.43,2019,agriculture +Caatinga,BAHIA,Cotegipe,9.94,2019,agriculture +Caatinga,BAHIA,Serra do Ramalho,8.02,2019,agriculture +Caatinga,BAHIA,Santana,15.8,2019,agriculture +Mata Atlântica,BAHIA,Floresta Azul,4.26,2019,agriculture +Mata Atlântica,BAHIA,Mascote,9.17,2019,agriculture +Mata Atlântica,BAHIA,Alagoinhas,1.76,2019,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.39,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,5.18,2019,agriculture +Mata Atlântica,BAHIA,Arataca,6.79,2019,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.6,2019,agriculture +Caatinga,BAHIA,Brejolândia,55.5,2020,agriculture +Cerrado,BAHIA,Barreiras,24.48,2020,agriculture +Cerrado,BAHIA,Cotegipe,285.29,2020,agriculture +Cerrado,BAHIA,São Desidério,1479.14,2020,agriculture +Mata Atlântica,BAHIA,Camaçari,2.86,2020,urban_expansion +Mata Atlântica,BAHIA,Cachoeira,15.32,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,14.61,2020,agriculture +Mata Atlântica,BAHIA,Camamu,0.83,2020,agriculture +Mata Atlântica,BAHIA,Camacan,6.35,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.6,2020,agriculture +Mata Atlântica,BAHIA,Dário Meira,2.4,2020,agriculture +Mata Atlântica,BAHIA,Itambé,2.44,2020,agriculture +Mata Atlântica,BAHIA,Maracás,12.33,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,20.32,2020,agriculture +Caatinga,BAHIA,Barra,132.94,2020,agriculture +Caatinga,BAHIA,Ibipitanga,10.45,2020,agriculture +Cerrado,BAHIA,Cotegipe,5.09,2020,agriculture +Caatinga,BAHIA,Tucano,4.37,2020,agriculture +Caatinga,BAHIA,Jacaraci,2.91,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,28.89,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.71,2020,agriculture +Caatinga,BAHIA,Cotegipe,16.07,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,5.94,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,1.18,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,41.61,2020,agriculture +Mata Atlântica,BAHIA,Eunápolis,2.83,2020,agriculture +Mata Atlântica,BAHIA,Irajuba,6.39,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,24.63,2020,agriculture +Mata Atlântica,BAHIA,Maraú,4.44,2020,agriculture +Mata Atlântica,BAHIA,Maraú,5.34,2020,agriculture +Mata Atlântica,BAHIA,Una,4.43,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,8.31,2020,agriculture +Caatinga,BAHIA,Wanderley,13.4,2020,agriculture +Mata Atlântica,BAHIA,Santo Antônio de Jesus,2.52,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,1.55,2020,agriculture +Cerrado,BAHIA,Correntina,17.83,2020,agriculture +Caatinga,BAHIA,Cotegipe,32.49,2020,agriculture +Cerrado,BAHIA,Cristópolis,4.8,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,17.53,2020,agriculture +Caatinga,BAHIA,Aracatu,14.31,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,16.47,2020,agriculture +Caatinga,BAHIA,Caculé,1.98,2020,agriculture +Caatinga,BAHIA,Brumado,1.33,2020,agriculture +Caatinga,BAHIA,Mansidão,4.62,2020,agriculture +Caatinga,BAHIA,Piatã,4.37,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,3.8,2020,agriculture +Caatinga,BAHIA,Mansidão,2.13,2020,agriculture +Caatinga,BAHIA,Iuiu,11.71,2020,agriculture +Caatinga,BAHIA,Paramirim,16.54,2020,agriculture +Caatinga,BAHIA,Aracatu,4.54,2020,agriculture +Caatinga,BAHIA,Carinhanha,7.58,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,11.23,2020,agriculture +Caatinga,BAHIA,Angical,63.95,2020,agriculture +Mata Atlântica,BAHIA,Buerarema,2.98,2020,agriculture +Caatinga,BAHIA,Ituaçu,5.53,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,0.56,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,4.49,2020,agriculture +Mata Atlântica,BAHIA,Jitaúna,1.58,2020,agriculture +Mata Atlântica,BAHIA,Itororó,4.88,2020,agriculture +Caatinga,BAHIA,Ibotirama,3.79,2020,agriculture +Caatinga,BAHIA,Mortugaba,1.98,2020,agriculture +Mata Atlântica,BAHIA,Maracás,3.57,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,91.17,2020,agriculture +Cerrado,BAHIA,Baianópolis,22.73,2020,agriculture +Mata Atlântica,BAHIA,Itapé,14.5,2020,agriculture +Mata Atlântica,BAHIA,Iguaí,1.2,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,5.59,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,3.34,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,2.05,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,3.61,2020,agriculture +Caatinga,BAHIA,Maetinga,2.24,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,5.17,2020,agriculture +Mata Atlântica,BAHIA,Pau Brasil,6.09,2020,agriculture +Mata Atlântica,BAHIA,Taperoá,1.06,2020,agriculture +Mata Atlântica,BAHIA,Itacaré,1.62,2020,agriculture +Mata Atlântica,BAHIA,Coaraci,3.96,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,8.17,2020,agriculture +Cerrado,BAHIA,Caetité,0.74,2020,agriculture +Caatinga,BAHIA,Brumado,2.45,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,9.1,2020,agriculture +Caatinga,BAHIA,Ibipitanga,4.17,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,1.33,2020,agriculture +Caatinga,BAHIA,Feira de Santana,28.7,2020,urban_expansion +Caatinga,BAHIA,Morpará,50.09,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.38,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,5.94,2020,agriculture +Caatinga,BAHIA,Ibitiara,2.65,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,7.96,2020,agriculture +Cerrado,BAHIA,Correntina,21.46,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,2.37,2021,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.38,2021,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,5.34,2021,agriculture +Caatinga,BAHIA,Araci,0.48,2021,agriculture +Caatinga,BAHIA,Senhor do Bonfim,2.99,2021,agriculture +Caatinga,BAHIA,Anagé,2.78,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,2.88,2021,agriculture +Caatinga,BAHIA,Pindaí,4.42,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.59,2021,agriculture +Caatinga,BAHIA,Canudos,40.43,2021,agriculture +Caatinga,BAHIA,Barra,1.65,2021,agriculture +Mata Atlântica,BAHIA,Conceição da Feira,7.23,2021,agriculture +Caatinga,BAHIA,Valente,9.27,2021,agriculture +Caatinga,BAHIA,Paratinga,6.78,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,3.22,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,21.29,2021,agriculture +Caatinga,BAHIA,Angical,7.29,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,7.98,2021,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,4.48,2021,agriculture +Mata Atlântica,BAHIA,Planalto,11.56,2021,agriculture +Mata Atlântica,BAHIA,Barra do Choça,9.5,2021,agriculture +Caatinga,BAHIA,Angical,65.75,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1326.82,2021,agriculture +Cerrado,BAHIA,Cotegipe,6.06,2021,agriculture +Caatinga,BAHIA,Carinhanha,17.25,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,0.95,2021,agriculture +Mata Atlântica,BAHIA,Valença,2.97,2021,agriculture +Mata Atlântica,BAHIA,Ituberá,3.68,2021,agriculture +Mata Atlântica,BAHIA,Barro Preto,12.12,2021,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,3.22,2021,agriculture +Cerrado,BAHIA,Correntina,23.63,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,23.46,2021,agriculture +Mata Atlântica,BAHIA,Valença,1.79,2021,agriculture +Mata Atlântica,BAHIA,Eunápolis,5.85,2021,agriculture +Caatinga,BAHIA,Itaberaba,4.96,2021,agriculture +Cerrado,BAHIA,Brejolândia,2.68,2021,agriculture +Caatinga,BAHIA,Boquira,4.07,2021,agriculture +Caatinga,BAHIA,Boquira,3.23,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,1.15,2021,agriculture +Caatinga,BAHIA,Caturama,0.97,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,1.76,2021,agriculture +Caatinga,BAHIA,Tanhaçu,3.79,2021,agriculture +Caatinga,BAHIA,Érico Cardoso,6.26,2021,agriculture +Caatinga,BAHIA,Cansanção,0.64,2021,agriculture +Caatinga,BAHIA,Mansidão,1.29,2021,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,2.86,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.11,2021,agriculture +Caatinga,BAHIA,Casa Nova,1.66,2021,agriculture +Caatinga,BAHIA,Vitória da Conquista,1.15,2021,agriculture +Caatinga,BAHIA,Queimadas,6.47,2021,agriculture +Caatinga,BAHIA,Mirangaba,5.7,2021,others +Cerrado,BAHIA,Coribe,19.53,2021,agriculture +Caatinga,BAHIA,Feira da Mata,21.35,2021,agriculture +Caatinga,BAHIA,Buritirama,14.16,2020,agriculture +Caatinga,BAHIA,Pilão Arcado,1.71,2020,others +Caatinga,BAHIA,Barra,1.05,2020,others +Cerrado,BAHIA,Correntina,12.02,2020,agriculture +Caatinga,BAHIA,Pilão Arcado,1.45,2020,others +Caatinga,BAHIA,Urandi,3.01,2020,others +Caatinga,BAHIA,Angical,4.9,2020,agriculture +Caatinga,BAHIA,Barra,3.57,2020,agriculture +Caatinga,BAHIA,Wanderley,4.32,2020,agriculture +Caatinga,BAHIA,Barra,10.23,2020,others +Caatinga,BAHIA,Barra,1.28,2020,others +Caatinga,BAHIA,Barra,1.38,2020,others +Caatinga,BAHIA,Wanderley,0.93,2020,agriculture +Cerrado,BAHIA,Cristópolis,1.78,2020,agriculture +Cerrado,BAHIA,Cristópolis,5.26,2020,agriculture +Caatinga,BAHIA,Mansidão,0.89,2020,others +Caatinga,BAHIA,Mansidão,2.19,2020,agriculture +Caatinga,BAHIA,Malhada,1.68,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,1.57,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,1.75,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,16.5,2020,agriculture +Caatinga,BAHIA,Coribe,10.95,2020,agriculture +Cerrado,BAHIA,São Desidério,2.14,2020,agriculture +Caatinga,BAHIA,Santana,1.19,2020,others +Caatinga,BAHIA,Serra do Ramalho,3.74,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,0.54,2020,others +Caatinga,BAHIA,Sítio do Mato,1.14,2020,agriculture +Caatinga,BAHIA,Serra Dourada,1.86,2020,agriculture +Caatinga,BAHIA,Serra Dourada,1.97,2020,others +Cerrado,BAHIA,Baianópolis,0.89,2020,agriculture +Cerrado,BAHIA,Jaborandi,0.84,2020,agriculture +Caatinga,BAHIA,Buritirama,1.86,2020,others +Caatinga,BAHIA,Buritirama,2.17,2020,others +Caatinga,BAHIA,Pilão Arcado,2.33,2020,others +Caatinga,BAHIA,Pilão Arcado,1.17,2020,others +Caatinga,BAHIA,Pilão Arcado,0.94,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,16.63,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,5.07,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,6.63,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.05,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.36,2020,agriculture +Cerrado,BAHIA,Jaborandi,4.47,2020,agriculture +Caatinga,BAHIA,Coribe,24.68,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.34,2021,agriculture +Caatinga,BAHIA,Ibipitanga,1.35,2021,agriculture +Caatinga,BAHIA,Ponto Novo,2.67,2021,others +Caatinga,BAHIA,Condeúba,2.54,2021,others +Caatinga,BAHIA,Cotegipe,7.34,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,0.62,2021,agriculture +Caatinga,BAHIA,Santaluz,2.24,2021,others +Caatinga,BAHIA,Jacaraci,3.56,2021,others +Mata Atlântica,BAHIA,Taperoá,0.54,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,20.35,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,51.55,2021,agriculture +Caatinga,BAHIA,Santana,851.76,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,59.05,2021,agriculture +Caatinga,BAHIA,Vitória da Conquista,2.43,2021,others +Caatinga,BAHIA,Dom Basílio,1.5,2021,others +Cerrado,BAHIA,Cotegipe,24.46,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,26.65,2021,agriculture +Caatinga,BAHIA,Caetité,0.7,2021,agriculture +Caatinga,BAHIA,Caturama,1.99,2021,agriculture +Caatinga,BAHIA,Itaberaba,14.87,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,124.06,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,14.56,2021,agriculture +Mata Atlântica,BAHIA,Camamu,0.94,2021,agriculture +Mata Atlântica,BAHIA,Varzedo,19.01,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,1.8,2021,others +Caatinga,BAHIA,Serra do Ramalho,14.24,2021,agriculture +Cerrado,BAHIA,São Desidério,176.12,2021,agriculture +Caatinga,BAHIA,Sento Sé,0.66,2021,agriculture +Caatinga,BAHIA,Santa Brígida,2.28,2021,agriculture +Caatinga,BAHIA,Ituaçu,6.4,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,0.7,2021,agriculture +Caatinga,BAHIA,Seabra,10.61,2021,agriculture +Mata Atlântica,BAHIA,Prado,1.11,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,17.63,2021,agriculture +Caatinga,BAHIA,Carinhanha,2.37,2021,others +Caatinga,BAHIA,Muquém do São Francisco,30.85,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,2.96,2021,agriculture +Caatinga,BAHIA,Juazeiro,18.56,2021,agriculture +Mata Atlântica,BAHIA,Santa Terezinha,5.47,2021,agriculture +Caatinga,BAHIA,Planaltino,5.08,2021,others +Mata Atlântica,BAHIA,Vitória da Conquista,23.08,2021,agriculture +Caatinga,BAHIA,Buritirama,2.34,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,37.17,2021,others +Caatinga,BAHIA,Palmas de Monte Alto,26.93,2021,others +Caatinga,BAHIA,Tucano,11.28,2021,agriculture +Caatinga,BAHIA,Iramaia,0.82,2021,agriculture +Caatinga,BAHIA,Manoel Vitorino,44.7,2021,others +Caatinga,BAHIA,Santa Terezinha,4.24,2021,others +Caatinga,BAHIA,Buritirama,1.79,2021,agriculture +Caatinga,BAHIA,Buritirama,0.68,2021,agriculture +Caatinga,BAHIA,Buritirama,0.66,2021,agriculture +Caatinga,BAHIA,Mansidão,4.04,2021,agriculture +Caatinga,BAHIA,Buritirama,1.77,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.81,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.97,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.6,2021,agriculture +Caatinga,BAHIA,Boquira,1.65,2021,agriculture +Caatinga,BAHIA,Angical,3.84,2021,others +Caatinga,BAHIA,São Félix do Coribe,8.09,2021,others +Caatinga,BAHIA,Serra do Ramalho,4.02,2021,others +Caatinga,BAHIA,Uauá,1.34,2021,others +Caatinga,BAHIA,Cansanção,6.06,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,0.38,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,12.01,2021,others +Caatinga,BAHIA,Bom Jesus da Lapa,9.83,2021,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.14,2021,others +Caatinga,BAHIA,Licínio de Almeida,1.29,2021,others +Caatinga,BAHIA,Tanque Novo,4.47,2021,others +Caatinga,BAHIA,Malhada de Pedras,5.54,2021,others +Caatinga,BAHIA,Presidente Jânio Quadros,1.8,2021,others +Caatinga,BAHIA,Presidente Jânio Quadros,2.6,2021,others +Caatinga,BAHIA,Iramaia,15.04,2021,others +Caatinga,BAHIA,Ipirá,0.62,2021,others +Caatinga,BAHIA,Jeremoabo,4.54,2021,agriculture +Caatinga,BAHIA,Sento Sé,26.09,2021,others +Caatinga,BAHIA,Wanderley,6.39,2021,others +Caatinga,BAHIA,Coribe,6.13,2021,agriculture +Cerrado,BAHIA,Igaporã,14.54,2021,agriculture +Cerrado,BAHIA,Cocos,16.96,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,395.55,2021,agriculture +Caatinga,BAHIA,Santana,22.29,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,22.07,2021,agriculture +Cerrado,BAHIA,Jaborandi,29.0,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,57.31,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,24.19,2021,agriculture +Cerrado,BAHIA,Cristópolis,1.6,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,10.55,2021,agriculture +Mata Atlântica,BAHIA,Itiruçu,1.76,2022,agriculture +Mata Atlântica,BAHIA,Guaratinga,2.38,2022,agriculture +Mata Atlântica,BAHIA,Nova Canaã,1.05,2022,agriculture +Mata Atlântica,BAHIA,Jitaúna,0.65,2022,agriculture +Mata Atlântica,BAHIA,Itambé,9.26,2022,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,7.53,2022,agriculture +Cerrado,BAHIA,Barreiras,82.44,2022,agriculture +Cerrado,BAHIA,Brejolândia,10.01,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,499.1,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,136.77,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,14.95,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,2.5,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,5.97,2022,agriculture +Cerrado,BAHIA,Tanque Novo,0.65,2022,agriculture +Caatinga,BAHIA,Matina,37.98,2022,others +Caatinga,BAHIA,Barra da Estiva,13.41,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,3.89,2022,agriculture +Caatinga,BAHIA,Maracás,7.42,2022,others +Caatinga,BAHIA,Guanambi,1.37,2022,others +Caatinga,BAHIA,Tanque Novo,1.17,2022,others +Caatinga,BAHIA,Sátiro Dias,61.23,2022,agriculture +Caatinga,BAHIA,Matina,5.37,2022,agriculture +Caatinga,BAHIA,Monte Santo,11.81,2022,agriculture +Cerrado,BAHIA,Botuporã,3.2,2022,agriculture +Caatinga,BAHIA,Remanso,0.71,2022,others +Caatinga,BAHIA,Matina,2.74,2022,others +Mata Atlântica,BAHIA,Ouriçangas,2.35,2022,agriculture +Mata Atlântica,BAHIA,Entre Rios,0.91,2022,urban_expansion +Mata Atlântica,BAHIA,Maraú,0.49,2022,agriculture +Mata Atlântica,BAHIA,Itapetinga,19.31,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.19,2022,agriculture +Caatinga,BAHIA,Serrinha,4.15,2022,agriculture +Caatinga,BAHIA,Caturama,110.59,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,15.29,2022,others +Caatinga,BAHIA,Itapicuru,38.15,2022,agriculture +Cerrado,BAHIA,Baianópolis,6.02,2022,agriculture +Caatinga,BAHIA,Paratinga,20.7,2022,others +Caatinga,BAHIA,Rio de Contas,0.87,2022,agriculture +Caatinga,BAHIA,Ponto Novo,1.0,2022,others +Caatinga,BAHIA,Euclides da Cunha,8.63,2022,others +Cerrado,BAHIA,Barreiras,2.74,2022,agriculture +Caatinga,BAHIA,Angical,115.19,2022,others +Caatinga,BAHIA,Muquém do São Francisco,9.4,2022,agriculture +Caatinga,BAHIA,Casa Nova,15.43,2022,agriculture +Caatinga,BAHIA,Jeremoabo,79.93,2022,others +Caatinga,BAHIA,Rio de Contas,1.41,2022,others +Cerrado,BAHIA,Jaborandi,4.79,2022,agriculture +Caatinga,BAHIA,Brumado,28.66,2022,others +Caatinga,BAHIA,Pilão Arcado,0.69,2022,others +Caatinga,BAHIA,Juazeiro,0.56,2022,agriculture +Caatinga,BAHIA,Ribeira do Pombal,36.5,2022,others +Caatinga,BAHIA,Mucugê,1.73,2022,others +Caatinga,BAHIA,Sítio do Mato,1.39,2022,others +Caatinga,BAHIA,Pilão Arcado,3.26,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,10.56,2022,agriculture +Caatinga,BAHIA,Cotegipe,22.06,2022,others +Caatinga,BAHIA,Filadélfia,31.92,2022,agriculture +Cerrado,BAHIA,Cocos,8.85,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,97.19,2022,agriculture +Cerrado,BAHIA,Jaborandi,128.52,2022,agriculture +Caatinga,BAHIA,Tanhaçu,67.24,2022,others +Caatinga,BAHIA,Sento Sé,0.31,2022,others +Cerrado,BAHIA,Canápolis,0.34,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.24,2022,others +Cerrado,BAHIA,Riacho de Santana,3.28,2022,agriculture +Caatinga,BAHIA,Paripiranga,4.49,2022,others +Caatinga,BAHIA,Jeremoabo,35.95,2022,others +Caatinga,BAHIA,Carinhanha,2.51,2022,others +Caatinga,BAHIA,Coribe,4.25,2022,agriculture +Caatinga,BAHIA,Monte Santo,0.53,2022,others +Mata Atlântica,BAHIA,Itabuna,14.74,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,97.85,2022,agriculture +Mata Atlântica,BAHIA,Porto Seguro,1.88,2022,agriculture +Mata Atlântica,BAHIA,Santa Luzia,3.01,2019,agriculture +Caatinga,BAHIA,Carinhanha,32.6,2019,agriculture +Caatinga,BAHIA,Cocos,12.21,2019,agriculture +Caatinga,BAHIA,Angical,10.2,2019,agriculture +Cerrado,BAHIA,Coribe,42.65,2019,agriculture +Caatinga,BAHIA,Sítio do Mato,38.74,2019,agriculture +Caatinga,BAHIA,Malhada,25.38,2019,agriculture +Caatinga,BAHIA,São Félix do Coribe,18.4,2019,agriculture +Mata Atlântica,BAHIA,Alcobaça,1.36,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,26.41,2019,agriculture +Cerrado,BAHIA,Baianópolis,21.65,2019,agriculture +Caatinga,BAHIA,Brejolândia,9.13,2019,agriculture +Caatinga,BAHIA,Baixa Grande,12.84,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,8.7,2019,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,6.64,2019,agriculture +Caatinga,BAHIA,Utinga,4.5,2019,agriculture +Caatinga,BAHIA,Lençóis,5.57,2019,agriculture +Cerrado,BAHIA,Jaborandi,1102.39,2019,agriculture +Caatinga,BAHIA,Carinhanha,3.86,2019,agriculture +Cerrado,BAHIA,São Desidério,4.61,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,239.22,2019,agriculture +Cerrado,BAHIA,Baianópolis,29.47,2019,agriculture +Caatinga,BAHIA,Cotegipe,17.2,2019,agriculture +Caatinga,BAHIA,Serra do Ramalho,29.42,2019,agriculture +Cerrado,BAHIA,Barreiras,9.92,2019,agriculture +Caatinga,BAHIA,Carinhanha,20.56,2019,agriculture +Caatinga,BAHIA,Feira da Mata,16.06,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,129.75,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,35.49,2019,agriculture +Cerrado,BAHIA,Baianópolis,71.36,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,19.9,2019,agriculture +Caatinga,BAHIA,Cotegipe,20.74,2019,agriculture +Mata Atlântica,BAHIA,Caatiba,16.15,2019,agriculture +Mata Atlântica,BAHIA,Dário Meira,2.36,2019,agriculture +Mata Atlântica,BAHIA,Cachoeira,17.08,2019,agriculture +Mata Atlântica,BAHIA,Jucuruçu,3.43,2019,agriculture +Mata Atlântica,BAHIA,Ibirataia,1.86,2019,agriculture +Mata Atlântica,BAHIA,Entre Rios,5.66,2019,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,2.02,2019,urban_expansion +Mata Atlântica,BAHIA,Porto Seguro,0.68,2019,agriculture +Mata Atlântica,BAHIA,Una,5.46,2019,agriculture +Cerrado,BAHIA,Jaborandi,2.8,2020,agriculture +Cerrado,BAHIA,Jaborandi,3.75,2020,agriculture +Cerrado,BAHIA,Jaborandi,90.98,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,3.41,2020,agriculture +Caatinga,BAHIA,Wanderley,13.58,2020,agriculture +Cerrado,BAHIA,Catolândia,27.33,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,223.0,2020,agriculture +Cerrado,BAHIA,Barreiras,4.45,2020,agriculture +Cerrado,BAHIA,São Desidério,16.73,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,14.71,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,5.1,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,4.93,2020,agriculture +Mata Atlântica,BAHIA,Aratuípe,29.5,2020,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,1.32,2020,agriculture +Mata Atlântica,BAHIA,Ibirataia,4.5,2020,agriculture +Mata Atlântica,BAHIA,Pau Brasil,9.99,2020,agriculture +Mata Atlântica,BAHIA,Aiquara,2.35,2020,agriculture +Mata Atlântica,BAHIA,Planalto,11.86,2020,agriculture +Caatinga,BAHIA,Piritiba,8.81,2020,agriculture +Caatinga,BAHIA,Mundo Novo,37.45,2020,agriculture +Caatinga,BAHIA,Bonito,1.72,2020,agriculture +Mata Atlântica,BAHIA,Rio Real,1.15,2020,agriculture +Mata Atlântica,BAHIA,Itanagra,1.51,2020,agriculture +Caatinga,BAHIA,Santa Terezinha,8.39,2020,agriculture +Caatinga,BAHIA,Jeremoabo,58.1,2020,agriculture +Caatinga,BAHIA,Itapicuru,23.57,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,67.96,2020,agriculture +Caatinga,BAHIA,Urandi,6.33,2020,agriculture +Caatinga,BAHIA,Canudos,335.16,2020,agriculture +Caatinga,BAHIA,Piatã,15.26,2020,agriculture +Cerrado,BAHIA,Coribe,12.8,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,7.42,2020,agriculture +Caatinga,BAHIA,Canápolis,14.69,2020,agriculture +Mata Atlântica,BAHIA,Itacaré,12.48,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,15.41,2020,agriculture +Mata Atlântica,BAHIA,Iguaí,1.46,2020,agriculture +Mata Atlântica,BAHIA,Valença,3.62,2020,agriculture +Mata Atlântica,BAHIA,Caravelas,2.76,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,456.75,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,53.36,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,6.4,2020,agriculture +Caatinga,BAHIA,Utinga,20.07,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,35.94,2020,agriculture +Cerrado,BAHIA,Cristópolis,6.19,2020,agriculture +Caatinga,BAHIA,Cotegipe,29.91,2020,agriculture +Cerrado,BAHIA,São Desidério,21.59,2020,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,9.48,2020,agriculture +Caatinga,BAHIA,Jaborandi,3.2,2020,agriculture +Cerrado,BAHIA,Cristópolis,51.12,2020,agriculture +Caatinga,BAHIA,Feira da Mata,6.59,2020,agriculture +Caatinga,BAHIA,Feira da Mata,14.38,2020,agriculture +Caatinga,BAHIA,Carinhanha,4.65,2020,agriculture +Caatinga,BAHIA,Jacaraci,5.47,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,5.17,2020,agriculture +Caatinga,BAHIA,Casa Nova,14.36,2020,agriculture +Cerrado,BAHIA,Baianópolis,4.39,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,42.25,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.98,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,6.12,2020,agriculture +Caatinga,BAHIA,Mortugaba,1.66,2020,agriculture +Caatinga,BAHIA,Anagé,2.86,2020,agriculture +Mata Atlântica,BAHIA,Jaguaquara,5.79,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,66.04,2020,agriculture +Cerrado,BAHIA,São Desidério,9.7,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,12.47,2020,agriculture +Caatinga,BAHIA,Aracatu,4.79,2020,agriculture +Caatinga,BAHIA,Paramirim,3.72,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,5.87,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,2.74,2020,agriculture +Caatinga,BAHIA,Manoel Vitorino,4.55,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,7.2,2020,agriculture +Caatinga,BAHIA,Cotegipe,14.75,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,13.21,2020,agriculture +Caatinga,BAHIA,Tapiramutá,5.69,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,11.4,2020,agriculture +Caatinga,BAHIA,Brejolândia,10.93,2020,agriculture +Mata Atlântica,BAHIA,Irajuba,13.85,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,8.64,2020,agriculture +Caatinga,BAHIA,Cocos,5.72,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,13.56,2020,agriculture +Caatinga,BAHIA,Santa Bárbara,7.21,2020,agriculture +Caatinga,BAHIA,Anagé,100.93,2020,agriculture +Mata Atlântica,BAHIA,Itacaré,5.9,2020,agriculture +Caatinga,BAHIA,Mucugê,46.18,2020,agriculture +Caatinga,BAHIA,Urandi,7.2,2020,agriculture +Mata Atlântica,BAHIA,Una,4.88,2020,agriculture +Cerrado,BAHIA,Baianópolis,32.45,2020,agriculture +Cerrado,BAHIA,Caetité,0.73,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,7.91,2020,agriculture +Caatinga,BAHIA,Candiba,0.75,2020,agriculture +Caatinga,BAHIA,Paratinga,1.58,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,0.97,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,2.06,2020,agriculture +Cerrado,BAHIA,Barreiras,7.52,2020,agriculture +Cerrado,BAHIA,Barreiras,16.87,2020,agriculture +Caatinga,BAHIA,Ibitiara,1.66,2020,agriculture +Caatinga,BAHIA,Tanhaçu,7.46,2020,agriculture +Mata Atlântica,BAHIA,Itabuna,7.24,2020,agriculture +Caatinga,BAHIA,Carinhanha,32.57,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,142.4,2021,agriculture +Mata Atlântica,BAHIA,Mascote,16.66,2021,agriculture +Mata Atlântica,BAHIA,Guaratinga,3.55,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.76,2021,agriculture +Mata Atlântica,BAHIA,Planalto,29.62,2021,agriculture +Caatinga,BAHIA,Malhada,15.33,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.09,2021,agriculture +Mata Atlântica,BAHIA,Dário Meira,29.26,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,1.11,2021,agriculture +Caatinga,BAHIA,Santanópolis,7.94,2021,agriculture +Caatinga,BAHIA,Jeremoabo,104.68,2021,agriculture +Mata Atlântica,BAHIA,Feira de Santana,2.6,2021,agriculture +Caatinga,BAHIA,Malhada,1.25,2021,agriculture +Caatinga,BAHIA,Casa Nova,2.64,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,2.67,2021,agriculture +Caatinga,BAHIA,Boquira,2.04,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,17.62,2021,agriculture +Cerrado,BAHIA,Jaborandi,477.24,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,31.38,2021,agriculture +Cerrado,BAHIA,Correntina,4.57,2021,agriculture +Mata Atlântica,BAHIA,Valença,0.43,2021,agriculture +Caatinga,BAHIA,Angical,31.87,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,280.37,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,34.8,2021,agriculture +Cerrado,BAHIA,São Desidério,27.11,2021,agriculture +Cerrado,BAHIA,Correntina,62.7,2021,agriculture +Mata Atlântica,BAHIA,Uruçuca,4.62,2021,agriculture +Mata Atlântica,BAHIA,Camamu,1.01,2021,agriculture +Mata Atlântica,BAHIA,Coaraci,4.58,2021,agriculture +Mata Atlântica,BAHIA,Itagi,10.48,2021,agriculture +Caatinga,BAHIA,Iaçu,177.82,2021,agriculture +Cerrado,BAHIA,Caetité,0.71,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,1.35,2021,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,2.94,2021,agriculture +Cerrado,BAHIA,Barreiras,3.77,2021,agriculture +Cerrado,BAHIA,Baianópolis,2.68,2021,agriculture +Caatinga,BAHIA,Tucano,5.06,2021,agriculture +Caatinga,BAHIA,Sento Sé,1.22,2021,agriculture +Caatinga,BAHIA,Feira da Mata,4.86,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,311.02,2021,agriculture +Caatinga,BAHIA,Correntina,13.53,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.45,2021,agriculture +Cerrado,BAHIA,Riacho de Santana,20.49,2021,agriculture +Caatinga,BAHIA,Itaeté,0.86,2021,agriculture +Caatinga,BAHIA,Paulo Afonso,1.4,2021,agriculture +Caatinga,BAHIA,Lagoa Real,2.91,2021,others +Caatinga,BAHIA,Várzea da Roça,0.95,2021,others +Mata Atlântica,BAHIA,Vitória da Conquista,36.33,2021,agriculture +Caatinga,BAHIA,Tanhaçu,2.05,2021,agriculture +Mata Atlântica,BAHIA,Milagres,19.1,2021,agriculture +Mata Atlântica,BAHIA,Vereda,7.88,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,50.32,2021,agriculture +Cerrado,BAHIA,Wanderley,10.6,2021,agriculture +Caatinga,BAHIA,Barra,2.29,2020,agriculture +Caatinga,BAHIA,Urandi,7.17,2020,others +Caatinga,BAHIA,Muquém do São Francisco,1.83,2020,others +Caatinga,BAHIA,Barra,0.74,2020,others +Caatinga,BAHIA,Barra,1.12,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,1.79,2020,agriculture +Cerrado,BAHIA,Cotegipe,4.9,2020,agriculture +Caatinga,BAHIA,Barra,1.17,2020,agriculture +Caatinga,BAHIA,Mansidão,1.4,2020,others +Caatinga,BAHIA,Malhada,10.38,2020,agriculture +Caatinga,BAHIA,Malhada,27.8,2020,others +Caatinga,BAHIA,Iuiu,3.95,2020,agriculture +Cerrado,BAHIA,Serra Dourada,14.45,2020,agriculture +Cerrado,BAHIA,Serra Dourada,2.01,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,4.45,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,0.44,2020,agriculture +Caatinga,BAHIA,Serra Dourada,1.64,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,4.07,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.75,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,0.93,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,18.92,2020,others +Cerrado,BAHIA,Correntina,4.19,2020,agriculture +Caatinga,BAHIA,Correntina,0.41,2020,agriculture +Cerrado,BAHIA,Brejolândia,1.89,2020,agriculture +Caatinga,BAHIA,Buritirama,5.66,2020,agriculture +Caatinga,BAHIA,Buritirama,2.87,2020,others +Caatinga,BAHIA,Buritirama,1.08,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,3.37,2020,agriculture +Caatinga,BAHIA,Buritirama,0.8,2020,others +Caatinga,BAHIA,Buritirama,3.52,2020,agriculture +Caatinga,BAHIA,Buritirama,1.09,2020,agriculture +Caatinga,BAHIA,Mansidão,0.84,2020,agriculture +Caatinga,BAHIA,Pilão Arcado,0.83,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.57,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,4.01,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,6.0,2020,agriculture +Caatinga,BAHIA,Angical,3.97,2020,agriculture +Cerrado,BAHIA,Barreiras,15.18,2020,agriculture +Cerrado,BAHIA,Barreiras,1.16,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,6.62,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,9.41,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,33.7,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,6.61,2020,agriculture +Cerrado,BAHIA,Cocos,2.29,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.97,2020,agriculture +Cerrado,BAHIA,Coribe,8.07,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.82,2020,agriculture +Caatinga,BAHIA,Carinhanha,2.72,2020,agriculture +Cerrado,BAHIA,Coribe,4.12,2020,agriculture +Caatinga,BAHIA,Carinhanha,4.93,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,1.06,2021,agriculture +Caatinga,BAHIA,Caturama,0.16,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.81,2021,others +Mata Atlântica,BAHIA,Cravolândia,4.89,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,37.45,2021,agriculture +Caatinga,BAHIA,Morpará,1.56,2021,others +Caatinga,BAHIA,Brotas de Macaúbas,6.06,2021,others +Caatinga,BAHIA,Sento Sé,2.03,2021,others +Caatinga,BAHIA,Cotegipe,1.3,2021,others +Caatinga,BAHIA,Canudos,1.98,2021,agriculture +Cerrado,BAHIA,Correntina,96.43,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,342.16,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.67,2021,agriculture +Caatinga,BAHIA,Buritirama,4.02,2021,others +Caatinga,BAHIA,Mansidão,14.89,2021,agriculture +Caatinga,BAHIA,Buritirama,3.32,2021,agriculture +Caatinga,BAHIA,Canudos,0.66,2021,others +Caatinga,BAHIA,Serrinha,0.41,2021,agriculture +Cerrado,BAHIA,Correntina,4.5,2021,agriculture +Caatinga,BAHIA,Piripá,2.44,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,19.64,2021,agriculture +Caatinga,BAHIA,Lagoa Real,3.85,2021,others +Caatinga,BAHIA,Macaúbas,0.78,2021,urban_expansion +Caatinga,BAHIA,Macaúbas,16.86,2021,agriculture +Cerrado,BAHIA,Barreiras,1055.72,2021,agriculture +Caatinga,BAHIA,Sítio do Quinto,67.13,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,17.87,2021,agriculture +Caatinga,BAHIA,Brumado,3.78,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,20.65,2021,agriculture +Caatinga,BAHIA,Lençóis,7.92,2021,agriculture +Mata Atlântica,BAHIA,Coaraci,3.21,2021,agriculture +Mata Atlântica,BAHIA,Firmino Alves,9.74,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,24.4,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,10.11,2021,others +Caatinga,BAHIA,São Félix do Coribe,3.02,2021,others +Caatinga,BAHIA,Coribe,8.69,2021,others +Caatinga,BAHIA,Tanque Novo,1.75,2021,agriculture +Cerrado,BAHIA,Caetité,3.72,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,23.32,2021,agriculture +Caatinga,BAHIA,Carinhanha,2.75,2021,agriculture +Mata Atlântica,BAHIA,Itapetinga,13.09,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.2,2021,agriculture +Mata Atlântica,BAHIA,Itapetinga,58.74,2021,agriculture +Mata Atlântica,BAHIA,Belo Campo,0.43,2021,agriculture +Mata Atlântica,BAHIA,Caatiba,21.36,2021,agriculture +Mata Atlântica,BAHIA,Barra do Choça,3.52,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,15.42,2021,agriculture +Mata Atlântica,BAHIA,Mucuri,2.01,2021,agriculture +Mata Atlântica,BAHIA,Aporá,12.34,2021,agriculture +Caatinga,BAHIA,Cotegipe,1.59,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,5.08,2021,agriculture +Caatinga,BAHIA,Barra da Estiva,9.09,2021,others +Caatinga,BAHIA,Riacho de Santana,1.32,2021,agriculture +Caatinga,BAHIA,Paramirim,6.01,2021,agriculture +Caatinga,BAHIA,Angical,9.52,2021,agriculture +Caatinga,BAHIA,Urandi,4.06,2021,agriculture +Caatinga,BAHIA,Barra da Estiva,14.97,2021,agriculture +Caatinga,BAHIA,Andaraí,39.91,2021,agriculture +Caatinga,BAHIA,Ruy Barbosa,7.13,2021,agriculture +Caatinga,BAHIA,Buritirama,1.54,2021,agriculture +Caatinga,BAHIA,Buritirama,0.99,2021,agriculture +Caatinga,BAHIA,Buritirama,0.9,2021,agriculture +Caatinga,BAHIA,Barra,2.3,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,2.83,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,3.73,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.19,2021,agriculture +Caatinga,BAHIA,Angical,11.9,2021,agriculture +Caatinga,BAHIA,Cotegipe,17.15,2021,others +Caatinga,BAHIA,Morpará,0.94,2021,others +Caatinga,BAHIA,Ibotirama,9.15,2021,agriculture +Caatinga,BAHIA,Barra,9.77,2021,agriculture +Caatinga,BAHIA,Sobradinho,2.38,2021,others +Caatinga,BAHIA,Cocos,20.01,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,9.05,2021,others +Caatinga,BAHIA,Riacho de Santana,1.46,2021,others +Caatinga,BAHIA,Urandi,7.24,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,34.64,2021,others +Caatinga,BAHIA,Licínio de Almeida,2.05,2021,agriculture +Caatinga,BAHIA,Sítio do Quinto,9.72,2021,others +Caatinga,BAHIA,Paulo Afonso,26.55,2021,others +Caatinga,BAHIA,Serra Dourada,12.53,2021,agriculture +Caatinga,BAHIA,Paratinga,3.48,2021,others +Caatinga,BAHIA,Santa Maria da Vitória,13.84,2021,agriculture +Caatinga,BAHIA,Guanambi,2.15,2021,others +Caatinga,BAHIA,Caculé,0.81,2021,others +Cerrado,BAHIA,São Desidério,337.41,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,12.35,2021,agriculture +Caatinga,BAHIA,Santana,35.99,2021,agriculture +Caatinga,BAHIA,Jussara,5.56,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,21.82,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,6.0,2021,agriculture +Mata Atlântica,BAHIA,Maraú,3.8,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,24.44,2022,agriculture +Mata Atlântica,BAHIA,Canavieiras,3.79,2022,agriculture +Mata Atlântica,BAHIA,Itagibá,72.64,2022,agriculture +Mata Atlântica,BAHIA,Belo Campo,19.35,2022,agriculture +Mata Atlântica,BAHIA,Pau Brasil,1.16,2022,agriculture +Cerrado,BAHIA,Barreiras,239.06,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.8,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.19,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,143.95,2022,agriculture +Cerrado,BAHIA,Correntina,2074.81,2022,agriculture +Cerrado,BAHIA,São Desidério,163.4,2022,agriculture +Cerrado,BAHIA,Canápolis,0.87,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,15.25,2022,agriculture +Caatinga,BAHIA,Brejolândia,11.85,2022,agriculture +Cerrado,BAHIA,Baianópolis,32.71,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,1.36,2022,agriculture +Mata Atlântica,BAHIA,Conde,12.45,2022,agriculture +Caatinga,BAHIA,Matina,7.11,2022,agriculture +Caatinga,BAHIA,Cipó,36.51,2022,agriculture +Cerrado,BAHIA,Igaporã,1.9,2022,agriculture +Caatinga,BAHIA,Paratinga,1.67,2022,agriculture +Caatinga,BAHIA,Guanambi,3.2,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,1.97,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,5.43,2022,others +Cerrado,BAHIA,Tanque Novo,2.12,2022,agriculture +Cerrado,BAHIA,Igaporã,1.19,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.56,2022,agriculture +Caatinga,BAHIA,Paulo Afonso,2.5,2022,agriculture +Caatinga,BAHIA,Paratinga,9.41,2022,others +Caatinga,BAHIA,Chorrochó,6.32,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,0.81,2022,others +Cerrado,BAHIA,Igaporã,6.13,2022,others +Caatinga,BAHIA,Crisópolis,37.31,2022,others +Caatinga,BAHIA,Mirangaba,4.71,2022,others +Caatinga,BAHIA,Várzea Nova,8.24,2022,others +Caatinga,BAHIA,Tanhaçu,1.07,2022,others +Caatinga,BAHIA,Banzaê,5.25,2022,others +Caatinga,BAHIA,Riacho de Santana,2.62,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,12.86,2022,agriculture +Cerrado,BAHIA,Igaporã,1.01,2022,agriculture +Caatinga,BAHIA,Buritirama,0.67,2022,others +Caatinga,BAHIA,Itapicuru,3.45,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.19,2022,agriculture +Caatinga,BAHIA,Matina,1.79,2022,others +Caatinga,BAHIA,Paratinga,1.92,2022,others +Cerrado,BAHIA,Barreiras,184.48,2022,agriculture +Cerrado,BAHIA,Correntina,147.75,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,297.96,2022,agriculture +Mata Atlântica,BAHIA,Nova Viçosa,0.45,2022,agriculture +Mata Atlântica,BAHIA,Jandaíra,0.2,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.37,2022,agriculture +Mata Atlântica,BAHIA,Jussari,3.9,2022,agriculture +Mata Atlântica,BAHIA,Canavieiras,0.24,2022,agriculture +Mata Atlântica,BAHIA,Boa Nova,4.64,2022,agriculture +Mata Atlântica,BAHIA,Valença,1.02,2022,agriculture +Mata Atlântica,BAHIA,Teolândia,0.74,2022,agriculture +Caatinga,BAHIA,Tanque Novo,11.33,2022,agriculture +Caatinga,BAHIA,Lagoa Real,6.42,2022,agriculture +Caatinga,BAHIA,Rafael Jambeiro,22.98,2022,agriculture +Caatinga,BAHIA,Feira de Santana,5.27,2022,urban_expansion +Caatinga,BAHIA,Jacaraci,5.98,2022,others +Cerrado,BAHIA,Caetité,22.44,2022,agriculture +Cerrado,BAHIA,Coribe,20.78,2022,agriculture +Caatinga,BAHIA,Antas,2.87,2022,others +Caatinga,BAHIA,Miguel Calmon,5.54,2022,others +Cerrado,BAHIA,São Desidério,0.69,2022,agriculture +Caatinga,BAHIA,Jaborandi,3.1,2022,others +Caatinga,BAHIA,Campo Formoso,0.67,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,12.24,2022,agriculture +Caatinga,BAHIA,Wanderley,12.82,2022,others +Cerrado,BAHIA,Cocos,12.16,2022,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,14.16,2022,others +Caatinga,BAHIA,Umburanas,1.22,2022,others +Caatinga,BAHIA,Barra,3.54,2022,others +Cerrado,BAHIA,Cocos,10.71,2022,agriculture +Cerrado,BAHIA,Canápolis,2.03,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,0.69,2022,others +Caatinga,BAHIA,Riacho de Santana,20.32,2022,agriculture +Cerrado,BAHIA,Caetité,1.19,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,175.86,2022,agriculture +Cerrado,BAHIA,Correntina,48.41,2022,agriculture +Caatinga,BAHIA,Ribeira do Pombal,1.96,2022,others +Caatinga,BAHIA,Campo Formoso,2.11,2022,others +Caatinga,BAHIA,Barra,1.43,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.56,2022,others +Caatinga,BAHIA,Sento Sé,1.12,2022,others +Caatinga,BAHIA,Pilão Arcado,0.51,2022,others +Caatinga,BAHIA,Boquira,0.38,2022,others +Caatinga,BAHIA,Buritirama,1.3,2022,others +Caatinga,BAHIA,Pilão Arcado,1.01,2022,others +Caatinga,BAHIA,Buritirama,1.54,2022,others +Cerrado,BAHIA,Jaborandi,5.35,2022,agriculture +Caatinga,BAHIA,Condeúba,3.36,2022,others +Caatinga,BAHIA,Mirante,8.61,2022,others +Caatinga,BAHIA,Buritirama,0.65,2022,others +Caatinga,BAHIA,Caculé,2.23,2022,others +Mata Atlântica,BAHIA,Itapetinga,19.22,2022,agriculture +Caatinga,BAHIA,Itapicuru,1.6,2022,others +Mata Atlântica,BAHIA,Água Fria,9.66,2022,agriculture +Mata Atlântica,BAHIA,Entre Rios,3.29,2019,agriculture +Mata Atlântica,BAHIA,Santa Luzia,15.82,2019,agriculture +Mata Atlântica,BAHIA,Ilhéus,5.27,2019,agriculture +Cerrado,BAHIA,Cocos,13.78,2019,agriculture +Mata Atlântica,BAHIA,Catu,59.19,2019,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,3.23,2019,agriculture +Mata Atlântica,BAHIA,Barra do Choça,91.57,2019,agriculture +Caatinga,BAHIA,Lençóis,1.26,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,15.13,2019,agriculture +Cerrado,BAHIA,São Desidério,213.66,2019,agriculture +Cerrado,BAHIA,São Desidério,23.24,2019,agriculture +Mata Atlântica,BAHIA,Iguaí,15.41,2019,agriculture +Caatinga,BAHIA,Serra do Ramalho,11.7,2019,agriculture +Cerrado,BAHIA,Barreiras,86.72,2019,agriculture +Mata Atlântica,BAHIA,Igrapiúna,2.14,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.82,2019,agriculture +Caatinga,BAHIA,Muquém do São Francisco,5.45,2019,agriculture +Caatinga,BAHIA,Cocos,6.47,2019,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,12.54,2019,agriculture +Cerrado,BAHIA,Baianópolis,3.91,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,86.38,2019,agriculture +Cerrado,BAHIA,Baianópolis,54.08,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,40.93,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,94.18,2019,agriculture +Mata Atlântica,BAHIA,Igrapiúna,5.25,2019,agriculture +Mata Atlântica,BAHIA,Ubaitaba,6.48,2019,agriculture +Mata Atlântica,BAHIA,Nova Canaã,6.66,2019,agriculture +Mata Atlântica,BAHIA,Jaguaripe,1.15,2019,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,0.86,2019,agriculture +Mata Atlântica,BAHIA,Apuarema,2.98,2019,agriculture +Mata Atlântica,BAHIA,Taperoá,4.79,2019,agriculture +Mata Atlântica,BAHIA,São Sebastião do Passé,13.87,2019,agriculture +Mata Atlântica,BAHIA,Santa Luzia,3.9,2019,agriculture +Mata Atlântica,BAHIA,Guaratinga,3.43,2019,agriculture +Mata Atlântica,BAHIA,Itapé,9.3,2019,agriculture +Cerrado,BAHIA,São Desidério,2124.54,2020,agriculture +Cerrado,BAHIA,Cocos,170.87,2020,agriculture +Cerrado,BAHIA,Correntina,17.42,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,119.36,2020,agriculture +Cerrado,BAHIA,Cotegipe,230.99,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,1.14,2020,agriculture +Mata Atlântica,BAHIA,Valença,2.02,2020,agriculture +Mata Atlântica,BAHIA,Igrapiúna,20.05,2020,agriculture +Mata Atlântica,BAHIA,Barro Preto,20.54,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,2.32,2020,agriculture +Mata Atlântica,BAHIA,Itagi,8.4,2020,agriculture +Mata Atlântica,BAHIA,Itagi,8.05,2020,urban_expansion +Caatinga,BAHIA,Morro do Chapéu,2.54,2020,agriculture +Caatinga,BAHIA,Dom Basílio,31.38,2020,agriculture +Cerrado,BAHIA,Cristópolis,38.33,2020,agriculture +Caatinga,BAHIA,Sento Sé,1.72,2020,agriculture +Caatinga,BAHIA,Rafael Jambeiro,60.81,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,18.01,2020,agriculture +Caatinga,BAHIA,Itapicuru,15.66,2020,agriculture +Caatinga,BAHIA,Pindaí,1.44,2020,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,4.44,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,39.03,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,12.7,2020,others +Cerrado,BAHIA,Cocos,16.95,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,14.96,2020,agriculture +Mata Atlântica,BAHIA,Medeiros Neto,16.13,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,5.12,2020,agriculture +Mata Atlântica,BAHIA,Aporá,12.08,2020,agriculture +Caatinga,BAHIA,Banzaê,5.89,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,51.41,2020,agriculture +Caatinga,BAHIA,Wanderley,28.62,2020,agriculture +Cerrado,BAHIA,São Desidério,73.2,2020,agriculture +Caatinga,BAHIA,Santana,17.67,2020,agriculture +Caatinga,BAHIA,Jaborandi,3.47,2020,agriculture +Cerrado,BAHIA,Baianópolis,6.41,2020,agriculture +Caatinga,BAHIA,Boninal,6.29,2020,agriculture +Cerrado,BAHIA,Jaborandi,3.6,2020,agriculture +Caatinga,BAHIA,Mansidão,3.16,2020,agriculture +Caatinga,BAHIA,Malhada,1.83,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,25.11,2020,agriculture +Caatinga,BAHIA,Carinhanha,5.2,2020,agriculture +Caatinga,BAHIA,Feira da Mata,42.26,2020,agriculture +Caatinga,BAHIA,Urandi,2.18,2020,agriculture +Caatinga,BAHIA,Wanderley,12.3,2020,agriculture +Caatinga,BAHIA,Boquira,2.66,2020,agriculture +Cerrado,BAHIA,Angical,3.28,2020,agriculture +Caatinga,BAHIA,Correntina,5.03,2020,agriculture +Caatinga,BAHIA,Ibipitanga,6.31,2020,agriculture +Caatinga,BAHIA,Piatã,2.12,2020,agriculture +Caatinga,BAHIA,Santa Terezinha,6.06,2020,agriculture +Caatinga,BAHIA,Itatim,20.95,2020,agriculture +Cerrado,BAHIA,Cristópolis,13.7,2020,agriculture +Mata Atlântica,BAHIA,Camamu,0.66,2020,agriculture +Cerrado,BAHIA,Barreiras,84.46,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,4.31,2020,agriculture +Caatinga,BAHIA,Angical,4.59,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,3.73,2020,agriculture +Caatinga,BAHIA,Jaborandi,5.27,2020,agriculture +Caatinga,BAHIA,Mansidão,12.62,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,17.68,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,2.55,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,1.26,2020,agriculture +Mata Atlântica,BAHIA,Maraú,6.67,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,4.59,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,1.72,2020,agriculture +Caatinga,BAHIA,Jeremoabo,51.08,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,9.35,2020,agriculture +Caatinga,BAHIA,Buritirama,2.74,2020,agriculture +Caatinga,BAHIA,Wanderley,16.1,2020,agriculture +Caatinga,BAHIA,Santanópolis,1.34,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,176.74,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,18.77,2020,agriculture +Cerrado,BAHIA,Baianópolis,4.7,2020,agriculture +Mata Atlântica,BAHIA,Valença,2.52,2020,agriculture +Caatinga,BAHIA,Paratinga,4.54,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.36,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.24,2020,agriculture +Cerrado,BAHIA,Pindaí,1.66,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,16.91,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,24.65,2020,agriculture +Caatinga,BAHIA,Aracatu,3.01,2020,agriculture +Caatinga,BAHIA,Bonito,9.34,2020,agriculture +Cerrado,BAHIA,Jaborandi,42.6,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,19.89,2021,agriculture +Mata Atlântica,BAHIA,Terra Nova,9.6,2021,agriculture +Mata Atlântica,BAHIA,Valença,3.04,2021,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,3.73,2021,agriculture +Mata Atlântica,BAHIA,Itacaré,1.02,2021,agriculture +Mata Atlântica,BAHIA,Prado,0.82,2021,agriculture +Caatinga,BAHIA,Sento Sé,31.64,2021,agriculture +Cerrado,BAHIA,Pindaí,0.4,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,3.28,2021,agriculture +Caatinga,BAHIA,Sento Sé,0.24,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.17,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,97.88,2021,agriculture +Caatinga,BAHIA,Piatã,1.15,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,15.41,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,28.47,2021,agriculture +Caatinga,BAHIA,Brejolândia,13.02,2021,agriculture +Cerrado,BAHIA,Correntina,251.31,2021,agriculture +Caatinga,BAHIA,Carinhanha,13.49,2021,agriculture +Mata Atlântica,BAHIA,Rio Real,9.3,2021,agriculture +Caatinga,BAHIA,Wanderley,7.44,2021,agriculture +Mata Atlântica,BAHIA,Igrapiúna,2.61,2021,agriculture +Mata Atlântica,BAHIA,Nova Viçosa,6.45,2021,agriculture +Mata Atlântica,BAHIA,Guaratinga,0.31,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,21.3,2021,agriculture +Mata Atlântica,BAHIA,Camacan,15.33,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,3.01,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,1.58,2021,agriculture +Caatinga,BAHIA,Piatã,1.12,2021,agriculture +Caatinga,BAHIA,Ibitiara,2.05,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,1.33,2021,agriculture +Caatinga,BAHIA,Caturama,1.33,2021,agriculture +Caatinga,BAHIA,América Dourada,5.48,2021,agriculture +Cerrado,BAHIA,Correntina,0.58,2021,agriculture +Caatinga,BAHIA,Mucugê,2.51,2021,agriculture +Caatinga,BAHIA,Andaraí,18.47,2021,urban_expansion +Caatinga,BAHIA,Milagres,0.85,2021,agriculture +Cerrado,BAHIA,Baianópolis,1.19,2021,agriculture +Caatinga,BAHIA,Carinhanha,84.55,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,3.18,2021,agriculture +Caatinga,BAHIA,Caetité,5.46,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.16,2021,agriculture +Caatinga,BAHIA,Rafael Jambeiro,5.75,2021,agriculture +Caatinga,BAHIA,Tucano,12.12,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,3.74,2021,agriculture +Caatinga,BAHIA,Caetanos,9.25,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.39,2021,agriculture +Caatinga,BAHIA,Barra,6.82,2021,agriculture +Caatinga,BAHIA,Barra,74.92,2021,agriculture +Caatinga,BAHIA,Carinhanha,6.65,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,13.92,2021,agriculture +Caatinga,BAHIA,Iuiu,21.37,2021,agriculture +Caatinga,BAHIA,Jeremoabo,1.61,2021,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,16.85,2021,agriculture +Mata Atlântica,BAHIA,Itanhém,3.6,2021,agriculture +Caatinga,BAHIA,Ruy Barbosa,1.23,2021,agriculture +Caatinga,BAHIA,Tanhaçu,4.32,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.33,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.78,2021,others +Caatinga,BAHIA,Tanhaçu,16.74,2021,agriculture +Caatinga,BAHIA,Itaeté,1.66,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,12.37,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,11.15,2021,agriculture +Caatinga,BAHIA,Jeremoabo,187.58,2021,agriculture +Mata Atlântica,BAHIA,Barro Preto,6.74,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,6.09,2021,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,9.75,2021,agriculture +Caatinga,BAHIA,Cotegipe,0.91,2021,others +Caatinga,BAHIA,Buritirama,6.5,2021,others +Caatinga,BAHIA,Barra,0.88,2020,others +Caatinga,BAHIA,Cocos,2.09,2020,others +Caatinga,BAHIA,Mansidão,1.28,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,15.66,2020,agriculture +Cerrado,BAHIA,Barreiras,29.74,2020,agriculture +Cerrado,BAHIA,São Desidério,1.4,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,1.8,2020,others +Caatinga,BAHIA,Angical,38.5,2020,agriculture +Caatinga,BAHIA,Ibotirama,3.6,2020,others +Caatinga,BAHIA,Muquém do São Francisco,2.64,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,5.08,2020,agriculture +Caatinga,BAHIA,Buritirama,2.52,2020,agriculture +Caatinga,BAHIA,Barra,1.0,2020,others +Caatinga,BAHIA,Barra,2.31,2020,others +Caatinga,BAHIA,Wanderley,5.53,2020,others +Caatinga,BAHIA,Mansidão,0.38,2020,agriculture +Cerrado,BAHIA,Serra Dourada,4.62,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,8.96,2020,agriculture +Cerrado,BAHIA,Santana,2.53,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,0.8,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,11.22,2020,others +Caatinga,BAHIA,São Félix do Coribe,4.77,2020,agriculture +Caatinga,BAHIA,Buritirama,0.96,2020,agriculture +Caatinga,BAHIA,Buritirama,0.87,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,1.38,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,3.77,2020,agriculture +Caatinga,BAHIA,Buritirama,1.89,2020,others +Caatinga,BAHIA,Buritirama,1.11,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,0.54,2020,others +Caatinga,BAHIA,Muquém do São Francisco,2.14,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,2.53,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,6.0,2020,agriculture +Cerrado,BAHIA,Barreiras,15.46,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1.73,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,17.74,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.29,2020,agriculture +Caatinga,BAHIA,Cocos,3.88,2020,agriculture +Caatinga,BAHIA,Carinhanha,5.81,2020,agriculture +Caatinga,BAHIA,Carinhanha,3.25,2020,agriculture +Caatinga,BAHIA,Carinhanha,3.07,2020,agriculture +Caatinga,BAHIA,Buritirama,6.84,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,0.54,2021,others +Caatinga,BAHIA,Ibipitanga,10.54,2021,others +Caatinga,BAHIA,Campo Formoso,1.85,2021,agriculture +Caatinga,BAHIA,Araci,1.69,2021,others +Mata Atlântica,BAHIA,Cândido Sales,2.19,2021,agriculture +Cerrado,BAHIA,Baianópolis,67.64,2021,agriculture +Caatinga,BAHIA,Jeremoabo,0.25,2021,agriculture +Caatinga,BAHIA,Urandi,6.56,2021,others +Caatinga,BAHIA,Riacho de Santana,6.35,2021,others +Caatinga,BAHIA,Pilão Arcado,0.7,2021,agriculture +Caatinga,BAHIA,Souto Soares,3.03,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,0.32,2021,agriculture +Caatinga,BAHIA,Quijingue,2.0,2021,others +Caatinga,BAHIA,Ourolândia,1.01,2021,others +Cerrado,BAHIA,Baianópolis,30.37,2021,agriculture +Caatinga,BAHIA,Brejolândia,3.15,2021,agriculture +Caatinga,BAHIA,Mansidão,4.28,2021,agriculture +Caatinga,BAHIA,Buritirama,2.9,2021,agriculture +Cerrado,BAHIA,Jaborandi,1.13,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,66.38,2021,agriculture +Caatinga,BAHIA,Wanderley,11.69,2021,others +Caatinga,BAHIA,Monte Santo,3.23,2021,agriculture +Cerrado,BAHIA,Jaborandi,92.92,2021,agriculture +Mata Atlântica,BAHIA,Buerarema,8.26,2021,agriculture +Caatinga,BAHIA,Abaíra,1.93,2021,agriculture +Caatinga,BAHIA,Casa Nova,3.12,2021,agriculture +Caatinga,BAHIA,Feira da Mata,27.59,2021,agriculture +Mata Atlântica,BAHIA,Camacan,6.72,2021,agriculture +Mata Atlântica,BAHIA,Aiquara,2.48,2021,agriculture +Cerrado,BAHIA,Barreiras,8.17,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,7.27,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,13.09,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,4.53,2021,agriculture +Caatinga,BAHIA,Wanderley,25.24,2021,others +Caatinga,BAHIA,Cotegipe,43.4,2021,others +Cerrado,BAHIA,Luís Eduardo Magalhães,621.88,2021,agriculture +Caatinga,BAHIA,Malhada,2.2,2021,agriculture +Caatinga,BAHIA,Jeremoabo,198.16,2021,agriculture +Caatinga,BAHIA,Remanso,0.67,2021,others +Caatinga,BAHIA,Jeremoabo,61.28,2021,others +Caatinga,BAHIA,Paulo Afonso,0.68,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,37.48,2021,agriculture +Mata Atlântica,BAHIA,Itapetinga,4.26,2021,agriculture +Mata Atlântica,BAHIA,Barra do Choça,4.66,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,20.38,2021,agriculture +Mata Atlântica,BAHIA,Itororó,2.57,2021,agriculture +Mata Atlântica,BAHIA,Conde,8.06,2021,agriculture +Caatinga,BAHIA,Buritirama,0.82,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,36.36,2021,agriculture +Mata Atlântica,BAHIA,Itacaré,1.08,2021,agriculture +Caatinga,BAHIA,Ibipitanga,2.77,2021,agriculture +Caatinga,BAHIA,Canudos,15.81,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,3.67,2021,others +Caatinga,BAHIA,Dom Basílio,1.38,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,19.61,2021,agriculture +Caatinga,BAHIA,Buritirama,0.79,2021,agriculture +Caatinga,BAHIA,Condeúba,2.16,2021,agriculture +Caatinga,BAHIA,Caetanos,8.55,2021,agriculture +Caatinga,BAHIA,Barra da Estiva,68.97,2021,agriculture +Caatinga,BAHIA,Buritirama,0.48,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.47,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.7,2021,agriculture +Caatinga,BAHIA,Angical,17.53,2021,agriculture +Caatinga,BAHIA,Paratinga,1.98,2021,others +Caatinga,BAHIA,Barra,177.98,2021,agriculture +Caatinga,BAHIA,Jeremoabo,45.17,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.62,2021,agriculture +Cerrado,BAHIA,Caetité,3.31,2021,agriculture +Caatinga,BAHIA,Xique-Xique,1.85,2021,others +Caatinga,BAHIA,Malhada de Pedras,1.2,2021,agriculture +Caatinga,BAHIA,Aracatu,1.32,2021,others +Caatinga,BAHIA,Brumado,9.9,2021,others +Caatinga,BAHIA,Casa Nova,4.72,2021,others +Caatinga,BAHIA,Jeremoabo,136.68,2021,others +Caatinga,BAHIA,Pedro Alexandre,10.98,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,5.79,2021,others +Mata Atlântica,BAHIA,Aramari,6.01,2021,agriculture +Caatinga,BAHIA,Angical,6.32,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,14.29,2021,agriculture +Cerrado,BAHIA,Cristópolis,320.74,2021,agriculture +Cerrado,BAHIA,Caetité,0.32,2021,agriculture +Caatinga,BAHIA,Casa Nova,7.12,2021,agriculture +Caatinga,BAHIA,Serrinha,0.31,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,28.93,2021,agriculture +Cerrado,BAHIA,Cocos,4.77,2021,agriculture +Mata Atlântica,BAHIA,Tremedal,31.09,2022,agriculture +Mata Atlântica,BAHIA,Prado,8.11,2022,agriculture +Mata Atlântica,BAHIA,Itambé,8.57,2022,agriculture +Mata Atlântica,BAHIA,Una,6.03,2022,agriculture +Caatinga,BAHIA,Poções,30.86,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.35,2022,agriculture +Caatinga,BAHIA,Piatã,3.01,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,4.09,2022,agriculture +Caatinga,BAHIA,Paratinga,2.15,2022,agriculture +Caatinga,BAHIA,Paratinga,1.63,2022,others +Caatinga,BAHIA,Brejolândia,5.25,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,4.05,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,4.36,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,419.67,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,13.03,2022,agriculture +Cerrado,BAHIA,Barreiras,86.98,2022,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,1.78,2022,agriculture +Mata Atlântica,BAHIA,Itabela,1.35,2022,agriculture +Mata Atlântica,BAHIA,Santa Luzia,6.05,2022,agriculture +Cerrado,BAHIA,São Desidério,1152.42,2022,agriculture +Cerrado,BAHIA,Jaborandi,25.7,2022,agriculture +Cerrado,BAHIA,Jaborandi,15.37,2022,agriculture +Cerrado,BAHIA,São Desidério,1626.19,2022,agriculture +Caatinga,BAHIA,Cansanção,1.38,2022,agriculture +Caatinga,BAHIA,Caetité,1.91,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.31,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,1.57,2022,others +Caatinga,BAHIA,Campo Formoso,7.43,2022,agriculture +Caatinga,BAHIA,Piatã,1.19,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.71,2022,agriculture +Cerrado,BAHIA,Caetité,0.5,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.53,2022,others +Caatinga,BAHIA,Piatã,1.4,2022,others +Caatinga,BAHIA,Nova Soure,15.12,2022,others +Cerrado,BAHIA,Igaporã,0.32,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.15,2022,agriculture +Cerrado,BAHIA,Caetité,0.11,2022,agriculture +Caatinga,BAHIA,Antônio Gonçalves,15.76,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,0.63,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,1.04,2022,others +Caatinga,BAHIA,Riacho de Santana,1.6,2022,others +Caatinga,BAHIA,Riacho de Santana,2.03,2022,agriculture +Cerrado,BAHIA,Caetité,1.89,2022,agriculture +Caatinga,BAHIA,Planaltino,4.0,2022,others +Caatinga,BAHIA,Macaúbas,5.3,2022,others +Caatinga,BAHIA,Boquira,0.79,2022,others +Caatinga,BAHIA,Cotegipe,6.97,2022,others +Caatinga,BAHIA,Sento Sé,6.0,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.17,2022,others +Mata Atlântica,BAHIA,Canavieiras,5.02,2022,agriculture +Cerrado,BAHIA,Baianópolis,142.81,2022,agriculture +Mata Atlântica,BAHIA,Prado,4.22,2022,agriculture +Mata Atlântica,BAHIA,Itabuna,19.87,2022,agriculture +Mata Atlântica,BAHIA,Caravelas,0.41,2022,agriculture +Mata Atlântica,BAHIA,Prado,2.7,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,0.49,2022,agriculture +Mata Atlântica,BAHIA,Itacaré,0.44,2022,agriculture +Mata Atlântica,BAHIA,Teolândia,0.27,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.56,2022,agriculture +Mata Atlântica,BAHIA,Igrapiúna,0.72,2022,agriculture +Cerrado,BAHIA,Caetité,23.34,2022,urban_expansion +Caatinga,BAHIA,Brotas de Macaúbas,4.7,2022,others +Caatinga,BAHIA,Umburanas,2.6,2022,others +Caatinga,BAHIA,Cotegipe,0.77,2022,others +Caatinga,BAHIA,Gentio do Ouro,1.84,2022,others +Caatinga,BAHIA,Sebastião Laranjeiras,21.62,2022,others +Caatinga,BAHIA,Barra,43.61,2022,agriculture +Caatinga,BAHIA,Rio de Contas,2.45,2022,agriculture +Caatinga,BAHIA,Malhada,5.07,2022,agriculture +Cerrado,BAHIA,Cristópolis,16.06,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,30.41,2022,agriculture +Cerrado,BAHIA,Baianópolis,51.49,2022,agriculture +Cerrado,BAHIA,Tanque Novo,0.95,2022,agriculture +Caatinga,BAHIA,Monte Santo,2.1,2022,others +Caatinga,BAHIA,Buritirama,0.25,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,7.39,2022,others +Caatinga,BAHIA,Guajeru,7.79,2022,others +Caatinga,BAHIA,Campo Formoso,3.61,2022,others +Caatinga,BAHIA,Rio do Antônio,6.39,2022,others +Caatinga,BAHIA,Vitória da Conquista,2.28,2022,others +Caatinga,BAHIA,Santa Maria da Vitória,10.56,2022,others +Caatinga,BAHIA,Buritirama,1.05,2022,others +Caatinga,BAHIA,Cordeiros,11.39,2022,others +Caatinga,BAHIA,Coribe,11.14,2022,others +Caatinga,BAHIA,Barra,0.77,2022,others +Caatinga,BAHIA,Riacho de Santana,4.58,2022,others +Caatinga,BAHIA,Rio de Contas,9.15,2022,others +Mata Atlântica,BAHIA,Água Fria,5.38,2022,agriculture +Mata Atlântica,BAHIA,Alcobaça,1.33,2022,agriculture +Mata Atlântica,BAHIA,Araçás,11.7,2022,agriculture +Mata Atlântica,BAHIA,Catu,2.52,2022,urban_expansion +Mata Atlântica,BAHIA,Santa Terezinha,1.43,2022,agriculture +Mata Atlântica,BAHIA,Itacaré,1.88,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,10.44,2022,agriculture +Caatinga,BAHIA,Caém,17.4,2022,others +Caatinga,BAHIA,Serrolândia,6.32,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,4.41,2022,agriculture +Mata Atlântica,BAHIA,Camacan,1.68,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,13.87,2019,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,125.41,2019,agriculture +Caatinga,BAHIA,Feira da Mata,3.29,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,89.61,2019,agriculture +Cerrado,BAHIA,Coribe,39.65,2019,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,10.78,2019,agriculture +Mata Atlântica,BAHIA,Gandu,11.72,2019,agriculture +Mata Atlântica,BAHIA,Itabela,15.29,2019,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,8.34,2019,agriculture +Caatinga,BAHIA,Ipirá,12.18,2019,agriculture +Caatinga,BAHIA,Carinhanha,14.17,2019,agriculture +Caatinga,BAHIA,Cotegipe,5.8,2019,agriculture +Cerrado,BAHIA,Cotegipe,10.12,2019,agriculture +Caatinga,BAHIA,Jeremoabo,11.19,2019,agriculture +Caatinga,BAHIA,Morro do Chapéu,33.95,2019,agriculture +Caatinga,BAHIA,Rio do Pires,4.05,2019,agriculture +Caatinga,BAHIA,Mairi,5.64,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,417.37,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,148.63,2019,agriculture +Cerrado,BAHIA,São Desidério,599.9,2019,agriculture +Caatinga,BAHIA,Cotegipe,9.17,2019,agriculture +Cerrado,BAHIA,São Desidério,14.24,2019,agriculture +Cerrado,BAHIA,Baianópolis,3.09,2019,agriculture +Caatinga,BAHIA,Pilão Arcado,5.13,2019,agriculture +Cerrado,BAHIA,Barreiras,18.16,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,17.34,2019,agriculture +Cerrado,BAHIA,São Desidério,41.05,2019,agriculture +Mata Atlântica,BAHIA,Itabuna,8.73,2019,urban_expansion +Mata Atlântica,BAHIA,Brejões,5.54,2019,agriculture +Mata Atlântica,BAHIA,Jitaúna,2.15,2019,agriculture +Mata Atlântica,BAHIA,Santa Luzia,1.87,2019,agriculture +Mata Atlântica,BAHIA,Catu,5.09,2019,agriculture +Mata Atlântica,BAHIA,Jequié,4.29,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.72,2019,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,2.44,2019,agriculture +Mata Atlântica,BAHIA,Valença,1.11,2019,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,4.53,2020,agriculture +Cerrado,BAHIA,Cotegipe,1309.16,2020,agriculture +Caatinga,BAHIA,Cotegipe,9.85,2020,agriculture +Cerrado,BAHIA,Barreiras,12.15,2020,agriculture +Mata Atlântica,BAHIA,Camaçari,14.61,2020,agriculture +Mata Atlântica,BAHIA,Alagoinhas,5.64,2020,agriculture +Mata Atlântica,BAHIA,Pedrão,39.68,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,4.71,2020,urban_expansion +Mata Atlântica,BAHIA,Santa Luzia,4.28,2020,agriculture +Mata Atlântica,BAHIA,Taperoá,2.27,2020,agriculture +Mata Atlântica,BAHIA,Jaguaripe,4.69,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,0.72,2020,agriculture +Mata Atlântica,BAHIA,Una,20.58,2020,agriculture +Mata Atlântica,BAHIA,Arataca,3.27,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,3.34,2020,agriculture +Mata Atlântica,BAHIA,Camacan,4.55,2020,agriculture +Mata Atlântica,BAHIA,Itororó,2.23,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.2,2020,agriculture +Caatinga,BAHIA,Ibicoara,1.76,2020,agriculture +Cerrado,BAHIA,Baianópolis,10.25,2020,agriculture +Caatinga,BAHIA,Cícero Dantas,43.7,2020,agriculture +Caatinga,BAHIA,Rio de Contas,14.42,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,5.69,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,21.72,2020,agriculture +Caatinga,BAHIA,Carinhanha,9.16,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,4.68,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.82,2020,agriculture +Caatinga,BAHIA,Paratinga,2.17,2020,agriculture +Cerrado,BAHIA,São Desidério,129.05,2020,agriculture +Mata Atlântica,BAHIA,Itagibá,5.53,2020,agriculture +Mata Atlântica,BAHIA,Iguaí,4.55,2020,agriculture +Mata Atlântica,BAHIA,Alcobaça,4.75,2020,agriculture +Mata Atlântica,BAHIA,Conde,14.69,2020,agriculture +Mata Atlântica,BAHIA,Araçás,0.99,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,48.04,2020,agriculture +Cerrado,BAHIA,Barreiras,153.03,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.88,2020,agriculture +Cerrado,BAHIA,Caetité,3.82,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,16.16,2020,agriculture +Caatinga,BAHIA,Wanderley,27.85,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,10.84,2020,agriculture +Caatinga,BAHIA,Malhada,73.96,2020,agriculture +Cerrado,BAHIA,Cocos,5.29,2020,agriculture +Caatinga,BAHIA,Brejolândia,13.33,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,21.76,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,2.38,2020,agriculture +Cerrado,BAHIA,Jaborandi,7.2,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,4.68,2020,agriculture +Caatinga,BAHIA,Rio de Contas,6.09,2020,agriculture +Caatinga,BAHIA,Wanderley,14.13,2020,agriculture +Caatinga,BAHIA,Brejolândia,19.18,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,5.89,2020,agriculture +Caatinga,BAHIA,Caculé,1.88,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,3.65,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,82.14,2020,agriculture +Cerrado,BAHIA,Jaborandi,13.45,2020,agriculture +Caatinga,BAHIA,Santana,13.76,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,3.17,2020,agriculture +Caatinga,BAHIA,Inhambupe,38.36,2020,agriculture +Caatinga,BAHIA,Condeúba,3.43,2020,agriculture +Caatinga,BAHIA,Tanhaçu,11.86,2020,agriculture +Caatinga,BAHIA,Feira da Mata,4.37,2020,agriculture +Caatinga,BAHIA,Brejolândia,25.12,2020,agriculture +Mata Atlântica,BAHIA,Caatiba,3.76,2020,agriculture +Caatinga,BAHIA,Planaltino,15.87,2020,agriculture +Cerrado,BAHIA,Cocos,435.94,2020,agriculture +Mata Atlântica,BAHIA,Itanagra,5.42,2020,agriculture +Mata Atlântica,BAHIA,Valença,4.9,2020,agriculture +Caatinga,BAHIA,Ruy Barbosa,17.65,2020,agriculture +Cerrado,BAHIA,Baianópolis,7.18,2020,agriculture +Cerrado,BAHIA,Brejolândia,3.97,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,6.55,2020,agriculture +Caatinga,BAHIA,Coribe,10.16,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.93,2020,agriculture +Mata Atlântica,BAHIA,Aramari,2.05,2020,agriculture +Caatinga,BAHIA,Jeremoabo,9.13,2020,agriculture +Caatinga,BAHIA,Rio do Pires,15.31,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,10.25,2020,agriculture +Caatinga,BAHIA,Serra Dourada,10.3,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,7.04,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,7.64,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,14.13,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,1.51,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,3.68,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,38.41,2020,agriculture +Mata Atlântica,BAHIA,Ibirataia,7.3,2020,agriculture +Caatinga,BAHIA,Maracás,6.33,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,16.78,2020,agriculture +Caatinga,BAHIA,Contendas do Sincorá,1.11,2020,agriculture +Cerrado,BAHIA,Baianópolis,340.0,2020,agriculture +Cerrado,BAHIA,Licínio de Almeida,0.96,2020,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,15.11,2020,agriculture +Caatinga,BAHIA,Anagé,20.49,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,17.37,2020,agriculture +Caatinga,BAHIA,Maracás,2.39,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.02,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,39.67,2021,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,5.66,2021,agriculture +Mata Atlântica,BAHIA,Mucuri,3.45,2021,urban_expansion +Mata Atlântica,BAHIA,Itororó,18.11,2021,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,15.57,2021,agriculture +Mata Atlântica,BAHIA,Valença,0.94,2021,agriculture +Mata Atlântica,BAHIA,Nova Ibiá,2.64,2021,agriculture +Mata Atlântica,BAHIA,Dário Meira,3.4,2021,agriculture +Mata Atlântica,BAHIA,Itanhém,0.82,2021,agriculture +Caatinga,BAHIA,Gentio do Ouro,3.84,2021,agriculture +Caatinga,BAHIA,Anagé,1.11,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,0.62,2021,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,1.71,2021,agriculture +Mata Atlântica,BAHIA,Teodoro Sampaio,6.56,2021,agriculture +Cerrado,BAHIA,Caetité,1.56,2021,agriculture +Mata Atlântica,BAHIA,Cabaceiras do Paraguaçu,23.05,2021,agriculture +Caatinga,BAHIA,Urandi,2.4,2021,agriculture +Caatinga,BAHIA,Matina,0.44,2021,agriculture +Caatinga,BAHIA,Candiba,6.64,2021,agriculture +Cerrado,BAHIA,Baianópolis,1134.59,2021,agriculture +Mata Atlântica,BAHIA,São Gonçalo dos Campos,22.28,2021,agriculture +Mata Atlântica,BAHIA,Valença,0.42,2021,agriculture +Cerrado,BAHIA,São Desidério,16.23,2021,agriculture +Cerrado,BAHIA,Cocos,1680.4,2021,agriculture +Cerrado,BAHIA,Correntina,10.55,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,610.17,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,4.63,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,11.46,2021,agriculture +Mata Atlântica,BAHIA,Jucuruçu,7.75,2021,agriculture +Caatinga,BAHIA,Miguel Calmon,5.95,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,1.12,2021,agriculture +Caatinga,BAHIA,Paratinga,4.22,2021,agriculture +Cerrado,BAHIA,Macaúbas,1.32,2021,agriculture +Caatinga,BAHIA,Ibipitanga,0.32,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,1.95,2021,agriculture +Caatinga,BAHIA,Lagoa Real,0.71,2021,others +Caatinga,BAHIA,Angical,6.13,2021,agriculture +Caatinga,BAHIA,Cotegipe,2.8,2021,agriculture +Cerrado,BAHIA,Catolândia,7.4,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,15.32,2021,agriculture +Caatinga,BAHIA,Jacaraci,4.84,2021,agriculture +Caatinga,BAHIA,Rio do Pires,18.99,2021,agriculture +Caatinga,BAHIA,Brumado,3.51,2021,agriculture +Caatinga,BAHIA,Seabra,3.71,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,6.45,2021,agriculture +Caatinga,BAHIA,Juazeiro,2.26,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,43.84,2021,agriculture +Cerrado,BAHIA,Coribe,27.65,2021,agriculture +Caatinga,BAHIA,Acajutiba,34.86,2021,agriculture +Mata Atlântica,BAHIA,São Sebastião do Passé,1.73,2021,agriculture +Mata Atlântica,BAHIA,Iguaí,6.13,2021,agriculture +Caatinga,BAHIA,Pindobaçu,15.25,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.03,2021,agriculture +Cerrado,BAHIA,Correntina,34.68,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,3.86,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,3.0,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,214.94,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.72,2021,agriculture +Caatinga,BAHIA,Wanderley,18.59,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,7.83,2021,agriculture +Caatinga,BAHIA,Fátima,0.3,2021,agriculture +Caatinga,BAHIA,Condeúba,3.17,2021,agriculture +Caatinga,BAHIA,Nova Soure,29.34,2021,others +Caatinga,BAHIA,Nova Soure,73.06,2021,agriculture +Caatinga,BAHIA,Milagres,46.25,2021,agriculture +Caatinga,BAHIA,Serra Dourada,22.69,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,24.05,2021,agriculture +Mata Atlântica,BAHIA,Taperoá,0.42,2021,agriculture +Mata Atlântica,BAHIA,Maracás,19.28,2021,urban_expansion +Cerrado,BAHIA,Baianópolis,1.62,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,4.9,2020,others +Cerrado,BAHIA,São Desidério,4.46,2020,urban_expansion +Cerrado,BAHIA,Correntina,2.6,2020,agriculture +Cerrado,BAHIA,São Desidério,3.26,2020,agriculture +Caatinga,BAHIA,Barra,1.03,2020,others +Caatinga,BAHIA,Barra,1.86,2020,others +Caatinga,BAHIA,Angical,2.84,2020,others +Caatinga,BAHIA,Angical,4.98,2020,others +Caatinga,BAHIA,Barra,2.22,2020,others +Caatinga,BAHIA,Wanderley,3.66,2020,others +Caatinga,BAHIA,Wanderley,0.9,2020,others +Caatinga,BAHIA,Wanderley,1.88,2020,others +Caatinga,BAHIA,Barra,1.94,2020,others +Caatinga,BAHIA,Barra,0.79,2020,agriculture +Caatinga,BAHIA,Barra,1.82,2020,agriculture +Caatinga,BAHIA,Barra,2.77,2020,others +Caatinga,BAHIA,Barra,0.5,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,0.88,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.21,2020,agriculture +Caatinga,BAHIA,Wanderley,2.86,2020,agriculture +Caatinga,BAHIA,Mansidão,66.2,2020,agriculture +Caatinga,BAHIA,Cotegipe,4.48,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,0.83,2020,agriculture +Caatinga,BAHIA,Malhada,4.52,2020,agriculture +Cerrado,BAHIA,Serra Dourada,20.42,2020,agriculture +Caatinga,BAHIA,Brejolândia,1.55,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,1.64,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.93,2020,agriculture +Cerrado,BAHIA,Baianópolis,15.08,2020,agriculture +Caatinga,BAHIA,Canápolis,3.45,2020,agriculture +Caatinga,BAHIA,Serra Dourada,9.66,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,9.6,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,1.6,2020,agriculture +Cerrado,BAHIA,Correntina,8.62,2020,agriculture +Cerrado,BAHIA,Baianópolis,2.57,2020,agriculture +Caatinga,BAHIA,Buritirama,3.95,2020,others +Caatinga,BAHIA,Buritirama,1.97,2020,agriculture +Caatinga,BAHIA,Buritirama,1.29,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,2.38,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,12.77,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,7.06,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,7.9,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.11,2020,agriculture +Cerrado,BAHIA,Barreiras,1.62,2020,agriculture +Cerrado,BAHIA,Barreiras,23.67,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,14.59,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,2.59,2020,agriculture +Cerrado,BAHIA,Coribe,1.22,2020,agriculture +Cerrado,BAHIA,Cocos,36.79,2020,agriculture +Caatinga,BAHIA,Coribe,0.8,2020,others +Caatinga,BAHIA,Carinhanha,3.1,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.46,2020,others +Caatinga,BAHIA,Coribe,13.44,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.71,2020,agriculture +Cerrado,BAHIA,Coribe,8.46,2020,agriculture +Caatinga,BAHIA,Paramirim,10.28,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,5.72,2021,agriculture +Caatinga,BAHIA,Serrinha,12.84,2021,agriculture +Caatinga,BAHIA,Ibotirama,3.11,2021,agriculture +Caatinga,BAHIA,Ibotirama,5.7,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,15.56,2021,agriculture +Caatinga,BAHIA,Cotegipe,2.97,2021,others +Caatinga,BAHIA,Paramirim,0.98,2021,others +Caatinga,BAHIA,Angical,7.15,2021,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,1.21,2021,agriculture +Mata Atlântica,BAHIA,Jitaúna,5.99,2021,agriculture +Caatinga,BAHIA,Mansidão,1.18,2021,agriculture +Caatinga,BAHIA,Seabra,4.45,2021,others +Caatinga,BAHIA,Mirangaba,5.38,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,2.41,2021,agriculture +Cerrado,BAHIA,Cotegipe,24.67,2021,agriculture +Caatinga,BAHIA,Santana,9.15,2021,agriculture +Caatinga,BAHIA,Cotegipe,61.8,2021,agriculture +Caatinga,BAHIA,Piatã,37.28,2021,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,7.35,2021,agriculture +Caatinga,BAHIA,Tanque Novo,4.39,2021,agriculture +Caatinga,BAHIA,Barra da Estiva,1.25,2021,others +Caatinga,BAHIA,Riacho de Santana,10.53,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,2.6,2021,agriculture +Caatinga,BAHIA,Cícero Dantas,1.5,2021,agriculture +Caatinga,BAHIA,Jeremoabo,13.36,2021,others +Caatinga,BAHIA,Aracatu,1.11,2021,agriculture +Caatinga,BAHIA,Rio de Contas,35.55,2021,agriculture +Caatinga,BAHIA,Cansanção,6.98,2021,agriculture +Caatinga,BAHIA,Santana,179.56,2021,agriculture +Mata Atlântica,BAHIA,Esplanada,1.19,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,0.29,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,2.07,2021,agriculture +Caatinga,BAHIA,Tapiramutá,13.98,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,18.89,2021,agriculture +Caatinga,BAHIA,Tapiramutá,15.3,2021,others +Cerrado,BAHIA,Jaborandi,112.09,2021,agriculture +Caatinga,BAHIA,Malhada,21.37,2021,agriculture +Cerrado,BAHIA,Caetité,8.57,2021,agriculture +Caatinga,BAHIA,Guajeru,5.35,2021,others +Caatinga,BAHIA,Sento Sé,0.77,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,16.74,2021,agriculture +Caatinga,BAHIA,Carinhanha,11.91,2021,agriculture +Caatinga,BAHIA,Campo Formoso,4.17,2021,agriculture +Caatinga,BAHIA,Casa Nova,4.58,2021,agriculture +Mata Atlântica,BAHIA,Mascote,1.96,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,7.11,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,360.49,2021,agriculture +Mata Atlântica,BAHIA,Pau Brasil,1.15,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.22,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,3.17,2021,agriculture +Mata Atlântica,BAHIA,Uruçuca,2.82,2021,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,6.87,2021,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,20.73,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,2.99,2021,agriculture +Caatinga,BAHIA,Guajeru,1.85,2021,agriculture +Cerrado,BAHIA,Catolândia,97.43,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,26.38,2021,others +Cerrado,BAHIA,Riachão das Neves,17.92,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,13.05,2021,agriculture +Caatinga,BAHIA,Contendas do Sincorá,15.25,2021,others +Caatinga,BAHIA,Itaeté,13.09,2021,others +Caatinga,BAHIA,Mansidão,1.98,2021,agriculture +Caatinga,BAHIA,Buritirama,2.06,2021,agriculture +Caatinga,BAHIA,Buritirama,0.93,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.98,2021,agriculture +Caatinga,BAHIA,Wanderley,13.06,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,50.77,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.09,2021,agriculture +Caatinga,BAHIA,Angical,24.53,2021,agriculture +Caatinga,BAHIA,Iuiu,62.52,2021,agriculture +Caatinga,BAHIA,Jeremoabo,25.78,2021,agriculture +Caatinga,BAHIA,Jaguarari,15.72,2021,others +Caatinga,BAHIA,Cansanção,11.14,2021,others +Cerrado,BAHIA,Tabocas do Brejo Velho,25.44,2021,agriculture +Caatinga,BAHIA,Cotegipe,7.5,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,53.11,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.28,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,83.47,2021,agriculture +Caatinga,BAHIA,Mansidão,2.94,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,13.17,2021,others +Caatinga,BAHIA,Malhada de Pedras,2.91,2021,agriculture +Caatinga,BAHIA,Mucugê,4.54,2021,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,9.37,2021,others +Caatinga,BAHIA,Aracatu,2.01,2021,others +Caatinga,BAHIA,Malhada de Pedras,5.69,2021,others +Caatinga,BAHIA,Biritinga,21.62,2021,others +Caatinga,BAHIA,Cícero Dantas,20.16,2021,agriculture +Caatinga,BAHIA,Jeremoabo,17.57,2021,agriculture +Caatinga,BAHIA,Campo Formoso,3.06,2021,others +Caatinga,BAHIA,Mansidão,2.34,2021,others +Caatinga,BAHIA,Tucano,8.32,2021,others +Caatinga,BAHIA,Tucano,26.92,2021,agriculture +Caatinga,BAHIA,Biritinga,12.63,2021,agriculture +Caatinga,BAHIA,Inhambupe,81.58,2021,others +Caatinga,BAHIA,Angical,6.82,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.51,2021,agriculture +Caatinga,BAHIA,Jacaraci,5.51,2021,others +Cerrado,BAHIA,Barreiras,32.05,2021,agriculture +Caatinga,BAHIA,Angical,38.05,2021,agriculture +Caatinga,BAHIA,Santana,108.92,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,42.45,2021,agriculture +Mata Atlântica,BAHIA,Valença,2.99,2021,agriculture +Mata Atlântica,BAHIA,Prado,0.74,2021,agriculture +Caatinga,BAHIA,Piatã,0.46,2021,agriculture +Caatinga,BAHIA,Barra,10.89,2021,agriculture +Mata Atlântica,BAHIA,Prado,3.92,2022,agriculture +Mata Atlântica,BAHIA,Santa Cruz da Vitória,2.26,2022,agriculture +Mata Atlântica,BAHIA,Nova Canaã,10.7,2022,agriculture +Mata Atlântica,BAHIA,Nova Canaã,0.22,2022,agriculture +Mata Atlântica,BAHIA,Macarani,4.18,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,1.35,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,2647.19,2022,agriculture +Cerrado,BAHIA,Jaborandi,339.7,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,74.41,2022,agriculture +Caatinga,BAHIA,Guanambi,5.7,2022,agriculture +Caatinga,BAHIA,Rio do Antônio,53.39,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,2.08,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,10.59,2022,others +Caatinga,BAHIA,Juazeiro,8.64,2022,agriculture +Caatinga,BAHIA,Buritirama,0.71,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,29.15,2022,agriculture +Mata Atlântica,BAHIA,Maraú,8.79,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,12.26,2022,agriculture +Mata Atlântica,BAHIA,Conceição da Feira,10.95,2022,agriculture +Mata Atlântica,BAHIA,Entre Rios,8.47,2022,agriculture +Mata Atlântica,BAHIA,Rio Real,4.53,2022,agriculture +Cerrado,BAHIA,Correntina,182.32,2022,agriculture +Cerrado,BAHIA,São Desidério,129.73,2022,agriculture +Cerrado,BAHIA,Caetité,5.31,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,1.53,2022,agriculture +Caatinga,BAHIA,Boninal,13.79,2022,others +Caatinga,BAHIA,Paripiranga,10.3,2022,others +Caatinga,BAHIA,Paratinga,1.85,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.02,2022,agriculture +Caatinga,BAHIA,Paratinga,1.58,2022,agriculture +Caatinga,BAHIA,Jeremoabo,55.69,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.81,2022,others +Caatinga,BAHIA,Quixabeira,6.97,2022,agriculture +Cerrado,BAHIA,Tanque Novo,3.34,2022,agriculture +Caatinga,BAHIA,Miguel Calmon,16.25,2022,others +Caatinga,BAHIA,Matina,6.49,2022,others +Cerrado,BAHIA,Riacho de Santana,8.75,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.84,2022,others +Cerrado,BAHIA,Igaporã,3.48,2022,agriculture +Caatinga,BAHIA,Sento Sé,1.67,2022,others +Caatinga,BAHIA,Dom Basílio,1.52,2022,agriculture +Caatinga,BAHIA,Itaeté,9.62,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,9.76,2022,agriculture +Caatinga,BAHIA,Biritinga,19.3,2022,others +Caatinga,BAHIA,Maracás,15.58,2022,others +Caatinga,BAHIA,Riacho de Santana,1.8,2022,others +Caatinga,BAHIA,Capim Grosso,1.11,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,162.86,2022,agriculture +Mata Atlântica,BAHIA,Itanagra,0.96,2022,agriculture +Mata Atlântica,BAHIA,Laje,0.66,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,0.71,2022,agriculture +Mata Atlântica,BAHIA,Belmonte,0.72,2022,agriculture +Mata Atlântica,BAHIA,Itacaré,0.62,2022,agriculture +Mata Atlântica,BAHIA,Una,0.8,2022,agriculture +Caatinga,BAHIA,Paratinga,5.92,2022,agriculture +Caatinga,BAHIA,Paramirim,2.92,2022,others +Caatinga,BAHIA,Novo Horizonte,4.79,2022,others +Cerrado,BAHIA,Riacho de Santana,3.94,2022,agriculture +Cerrado,BAHIA,Barreiras,10.25,2022,agriculture +Caatinga,BAHIA,Gentio do Ouro,5.23,2022,agriculture +Caatinga,BAHIA,São Félix do Coribe,9.04,2022,others +Caatinga,BAHIA,Jeremoabo,2.9,2022,others +Caatinga,BAHIA,Jeremoabo,41.58,2022,others +Caatinga,BAHIA,Aracatu,8.0,2022,others +Caatinga,BAHIA,Sítio do Mato,8.2,2022,agriculture +Caatinga,BAHIA,Serra do Ramalho,17.56,2022,others +Caatinga,BAHIA,Caturama,4.57,2022,agriculture +Caatinga,BAHIA,Licínio de Almeida,5.67,2022,others +Caatinga,BAHIA,Cotegipe,10.37,2022,others +Caatinga,BAHIA,Lajedinho,12.37,2022,others +Caatinga,BAHIA,Dom Basílio,5.06,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,206.25,2022,agriculture +Caatinga,BAHIA,Cícero Dantas,72.44,2022,others +Caatinga,BAHIA,Euclides da Cunha,3.83,2022,others +Caatinga,BAHIA,Malhada de Pedras,3.02,2022,others +Caatinga,BAHIA,Jeremoabo,4.19,2022,others +Cerrado,BAHIA,Canápolis,35.75,2022,agriculture +Caatinga,BAHIA,Ipupiara,2.48,2022,others +Cerrado,BAHIA,Baianópolis,14.01,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,233.69,2022,agriculture +Cerrado,BAHIA,Baianópolis,39.14,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,1.98,2022,others +Caatinga,BAHIA,Uauá,7.76,2022,others +Caatinga,BAHIA,Tanhaçu,1.23,2022,others +Caatinga,BAHIA,Ribeira do Pombal,8.4,2022,others +Caatinga,BAHIA,Ribeira do Pombal,166.51,2022,others +Caatinga,BAHIA,Adustina,1.07,2022,others +Cerrado,BAHIA,Riacho de Santana,1.02,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.4,2022,others +Caatinga,BAHIA,Santana,7.11,2022,others +Mata Atlântica,BAHIA,Valença,4.82,2022,agriculture +Mata Atlântica,BAHIA,Irará,0.81,2022,agriculture +Mata Atlântica,BAHIA,Coração de Maria,1.86,2022,agriculture +Mata Atlântica,BAHIA,Jaguaquara,8.62,2022,agriculture +Caatinga,BAHIA,Itapicuru,4.77,2022,others +Caatinga,BAHIA,Itapicuru,36.34,2022,others +Caatinga,BAHIA,Tucano,3.1,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,286.07,2022,agriculture +Caatinga,BAHIA,Carinhanha,36.98,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,17.87,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,401.99,2019,agriculture +Cerrado,BAHIA,Cotegipe,114.31,2019,agriculture +Mata Atlântica,BAHIA,Encruzilhada,23.27,2019,agriculture +Mata Atlântica,BAHIA,Belo Campo,38.23,2019,agriculture +Caatinga,BAHIA,Carinhanha,6.1,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,9.05,2019,agriculture +Cerrado,BAHIA,Catolândia,24.43,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,4.79,2019,agriculture +Mata Atlântica,BAHIA,Ibirataia,3.79,2019,agriculture +Caatinga,BAHIA,Tapiramutá,1.29,2019,agriculture +Caatinga,BAHIA,Angical,10.73,2019,agriculture +Mata Atlântica,BAHIA,Itabuna,4.55,2019,agriculture +Cerrado,BAHIA,Cristópolis,10.34,2019,agriculture +Caatinga,BAHIA,Mundo Novo,6.33,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,30.11,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,55.98,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,321.01,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,46.15,2019,agriculture +Caatinga,BAHIA,Sítio do Mato,32.68,2019,agriculture +Cerrado,BAHIA,Baianópolis,11.45,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,57.65,2019,agriculture +Cerrado,BAHIA,Baianópolis,10.47,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1.51,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,14.93,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,426.1,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,273.7,2019,agriculture +Cerrado,BAHIA,Barreiras,196.07,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,13.09,2019,agriculture +Mata Atlântica,BAHIA,Eunápolis,6.61,2019,agriculture +Mata Atlântica,BAHIA,Iguaí,1.75,2019,agriculture +Mata Atlântica,BAHIA,Itabuna,1.68,2019,agriculture +Mata Atlântica,BAHIA,Iguaí,1.57,2019,agriculture +Mata Atlântica,BAHIA,Jequié,8.94,2019,agriculture +Mata Atlântica,BAHIA,Simões Filho,13.44,2019,urban_expansion +Mata Atlântica,BAHIA,Canavieiras,35.94,2019,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,1.53,2019,agriculture +Mata Atlântica,BAHIA,Camamu,0.68,2019,agriculture +Mata Atlântica,BAHIA,Igrapiúna,1.78,2019,agriculture +Mata Atlântica,BAHIA,Jaguaquara,9.04,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,4.08,2019,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,11.45,2020,agriculture +Cerrado,BAHIA,Barreiras,21.52,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,15.21,2020,agriculture +Cerrado,BAHIA,Catolândia,9.96,2020,agriculture +Cerrado,BAHIA,Baianópolis,41.39,2020,agriculture +Mata Atlântica,BAHIA,Igrapiúna,9.25,2020,agriculture +Mata Atlântica,BAHIA,Irajuba,6.56,2020,agriculture +Caatinga,BAHIA,Iaçu,64.02,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.6,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,6.01,2020,agriculture +Caatinga,BAHIA,Mucugê,26.52,2020,agriculture +Caatinga,BAHIA,Canudos,7.68,2020,agriculture +Cerrado,BAHIA,Baianópolis,142.19,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.84,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,5.06,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,15.89,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.48,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,187.73,2020,agriculture +Caatinga,BAHIA,Jeremoabo,16.05,2020,agriculture +Cerrado,BAHIA,Cocos,16.2,2020,agriculture +Caatinga,BAHIA,Angical,13.93,2020,agriculture +Cerrado,BAHIA,Correntina,8.11,2020,agriculture +Caatinga,BAHIA,Carinhanha,3.53,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,19.97,2020,agriculture +Cerrado,BAHIA,São Desidério,127.66,2020,agriculture +Mata Atlântica,BAHIA,Macarani,12.48,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,5.26,2020,agriculture +Mata Atlântica,BAHIA,Mascote,6.31,2020,agriculture +Caatinga,BAHIA,Santana,15.03,2020,agriculture +Caatinga,BAHIA,Mundo Novo,14.35,2020,agriculture +Caatinga,BAHIA,Canudos,130.27,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,2.1,2020,agriculture +Caatinga,BAHIA,Manoel Vitorino,9.61,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,6.27,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,1.99,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,34.9,2020,agriculture +Cerrado,BAHIA,Barreiras,21.09,2020,agriculture +Cerrado,BAHIA,Barreiras,28.55,2020,agriculture +Caatinga,BAHIA,Brumado,7.6,2020,agriculture +Mata Atlântica,BAHIA,Itabela,1.46,2020,agriculture +Cerrado,BAHIA,Bom Jesus da Lapa,9.8,2020,agriculture +Caatinga,BAHIA,Feira da Mata,11.08,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,6.99,2020,agriculture +Cerrado,BAHIA,Baianópolis,15.85,2020,agriculture +Caatinga,BAHIA,Wanderley,80.94,2020,agriculture +Caatinga,BAHIA,Paramirim,4.03,2020,agriculture +Caatinga,BAHIA,Sátiro Dias,47.66,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,14.79,2020,agriculture +Caatinga,BAHIA,Caturama,5.72,2020,agriculture +Cerrado,BAHIA,Baianópolis,168.35,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,7.08,2020,agriculture +Caatinga,BAHIA,Casa Nova,11.77,2020,agriculture +Caatinga,BAHIA,Casa Nova,1.32,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.19,2020,agriculture +Caatinga,BAHIA,Urandi,5.41,2020,agriculture +Caatinga,BAHIA,Malhada de Pedras,4.39,2020,agriculture +Caatinga,BAHIA,Brumado,6.39,2020,agriculture +Caatinga,BAHIA,Jaborandi,4.29,2020,agriculture +Cerrado,BAHIA,Cotegipe,2.05,2020,agriculture +Cerrado,BAHIA,Barreiras,12.14,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,12.91,2020,agriculture +Caatinga,BAHIA,Malhada de Pedras,5.33,2020,agriculture +Caatinga,BAHIA,Cotegipe,5.26,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,48.01,2020,agriculture +Caatinga,BAHIA,Jaborandi,6.04,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,3.09,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,7.85,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,23.45,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,31.3,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,12.91,2020,agriculture +Caatinga,BAHIA,Sítio do Quinto,4.9,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,5.92,2020,agriculture +Cerrado,BAHIA,Licínio de Almeida,5.51,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,4.61,2020,agriculture +Cerrado,BAHIA,Barreiras,27.0,2020,agriculture +Mata Atlântica,BAHIA,Itaquara,8.6,2020,agriculture +Caatinga,BAHIA,Brumado,2.61,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,0.54,2020,agriculture +Caatinga,BAHIA,Mundo Novo,0.11,2020,agriculture +Mata Atlântica,BAHIA,Cravolândia,0.69,2020,agriculture +Caatinga,BAHIA,Iaçu,10.54,2020,agriculture +Caatinga,BAHIA,Mundo Novo,1.16,2020,agriculture +Caatinga,BAHIA,Serra Dourada,3.35,2020,agriculture +Cerrado,BAHIA,Canápolis,7.68,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,4.67,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,3.38,2020,agriculture +Mata Atlântica,BAHIA,Alcobaça,7.48,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,1.02,2020,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,1.74,2020,agriculture +Caatinga,BAHIA,Planaltino,4.3,2020,agriculture +Caatinga,BAHIA,Urandi,6.0,2020,agriculture +Cerrado,BAHIA,Lagoa Real,4.11,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.72,2020,agriculture +Caatinga,BAHIA,Malhada de Pedras,6.7,2020,agriculture +Caatinga,BAHIA,Ipupiara,5.85,2020,agriculture +Cerrado,BAHIA,Caetité,3.9,2020,agriculture +Caatinga,BAHIA,Angical,10.01,2020,agriculture +Cerrado,BAHIA,Macaúbas,2.9,2020,agriculture +Caatinga,BAHIA,Seabra,0.55,2020,agriculture +Caatinga,BAHIA,Boquira,6.91,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,5.9,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,1.12,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.11,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,77.08,2021,agriculture +Mata Atlântica,BAHIA,Catu,8.08,2021,agriculture +Mata Atlântica,BAHIA,Uruçuca,3.15,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,14.52,2021,agriculture +Cerrado,BAHIA,Caetité,3.26,2021,urban_expansion +Caatinga,BAHIA,Jaborandi,5.39,2021,agriculture +Mata Atlântica,BAHIA,Nazaré,3.31,2021,agriculture +Caatinga,BAHIA,Barra,12.15,2021,agriculture +Caatinga,BAHIA,Mirangaba,4.52,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,17.89,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,4.39,2021,agriculture +Caatinga,BAHIA,Casa Nova,18.3,2021,agriculture +Caatinga,BAHIA,Ibitiara,8.77,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,21.36,2021,agriculture +Cerrado,BAHIA,Correntina,1675.57,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,1.78,2021,agriculture +Mata Atlântica,BAHIA,Jaguaquara,4.63,2021,agriculture +Caatinga,BAHIA,Antônio Gonçalves,5.23,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,1.78,2021,agriculture +Cerrado,BAHIA,Cristópolis,7.09,2021,agriculture +Caatinga,BAHIA,Cotegipe,10.97,2021,agriculture +Caatinga,BAHIA,Condeúba,82.42,2021,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,2.16,2021,agriculture +Caatinga,BAHIA,Saúde,4.5,2021,agriculture +Caatinga,BAHIA,Coribe,10.12,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,9.38,2021,agriculture +Mata Atlântica,BAHIA,Barro Preto,6.93,2021,agriculture +Caatinga,BAHIA,Mundo Novo,1.23,2021,agriculture +Caatinga,BAHIA,Paratinga,1.47,2021,agriculture +Caatinga,BAHIA,Barra,1.49,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,0.61,2021,agriculture +Caatinga,BAHIA,Juazeiro,7.52,2021,agriculture +Caatinga,BAHIA,Angical,31.67,2021,agriculture +Caatinga,BAHIA,Angical,2.96,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.93,2021,agriculture +Cerrado,BAHIA,Baianópolis,3.46,2021,others +Caatinga,BAHIA,Novo Horizonte,7.84,2021,agriculture +Caatinga,BAHIA,Dom Basílio,0.96,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,1.16,2021,agriculture +Mata Atlântica,BAHIA,Alagoinhas,7.3,2021,agriculture +Caatinga,BAHIA,Sento Sé,12.06,2021,agriculture +Mata Atlântica,BAHIA,Rio Real,6.33,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,2.83,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,0.59,2021,agriculture +Mata Atlântica,BAHIA,Itagibá,15.31,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,14.7,2021,agriculture +Caatinga,BAHIA,Lagoa Real,5.43,2021,others +Caatinga,BAHIA,Santo Estêvão,22.79,2021,others +Caatinga,BAHIA,Belo Campo,9.71,2021,agriculture +Caatinga,BAHIA,Tanhaçu,18.57,2021,agriculture +Caatinga,BAHIA,Coribe,9.47,2021,agriculture +Caatinga,BAHIA,Coribe,13.21,2021,agriculture +Caatinga,BAHIA,Carinhanha,68.62,2021,agriculture +Cerrado,BAHIA,São Desidério,24.96,2021,others +Caatinga,BAHIA,Caculé,0.51,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,8.17,2021,others +Caatinga,BAHIA,Carinhanha,3.35,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,42.95,2020,others +Cerrado,BAHIA,Barreiras,1.44,2020,agriculture +Caatinga,BAHIA,Buritirama,0.49,2020,others +Cerrado,BAHIA,São Desidério,2.67,2020,agriculture +Caatinga,BAHIA,Barra,2.54,2020,others +Caatinga,BAHIA,Cotegipe,0.59,2020,others +Caatinga,BAHIA,Barra,0.19,2020,agriculture +Caatinga,BAHIA,Barra,18.44,2020,others +Caatinga,BAHIA,Wanderley,2.82,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,27.19,2020,agriculture +Caatinga,BAHIA,Wanderley,4.74,2020,agriculture +Cerrado,BAHIA,Baianópolis,15.58,2020,agriculture +Cerrado,BAHIA,Serra Dourada,4.56,2020,agriculture +Cerrado,BAHIA,Brejolândia,3.03,2020,agriculture +Caatinga,BAHIA,Carinhanha,2.15,2020,agriculture +Cerrado,BAHIA,Canápolis,3.3,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,1.89,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,0.89,2020,agriculture +Caatinga,BAHIA,Santana,0.98,2020,agriculture +Caatinga,BAHIA,Serra Dourada,8.63,2020,agriculture +Cerrado,BAHIA,Correntina,0.48,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,1.49,2020,others +Caatinga,BAHIA,Serra Dourada,0.76,2020,agriculture +Cerrado,BAHIA,Correntina,1.28,2020,agriculture +Caatinga,BAHIA,Buritirama,1.71,2020,others +Caatinga,BAHIA,Buritirama,7.67,2020,others +Caatinga,BAHIA,Mansidão,3.0,2020,agriculture +Caatinga,BAHIA,Buritirama,0.93,2020,others +Caatinga,BAHIA,Buritirama,1.01,2020,agriculture +Caatinga,BAHIA,Buritirama,1.94,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,1.63,2020,agriculture +Caatinga,BAHIA,Buritirama,1.6,2020,others +Cerrado,BAHIA,Formosa do Rio Preto,3.5,2020,urban_expansion +Cerrado,BAHIA,Formosa do Rio Preto,5.25,2020,agriculture +Caatinga,BAHIA,Angical,4.77,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,2.98,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,3.92,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,4.97,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.98,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,16.71,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,12.59,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.5,2020,agriculture +Cerrado,BAHIA,Cocos,21.56,2020,agriculture +Cerrado,BAHIA,Cocos,6.24,2020,agriculture +Cerrado,BAHIA,Cocos,0.15,2020,agriculture +Caatinga,BAHIA,Carinhanha,16.86,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.1,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,3.37,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,0.67,2021,agriculture +Cerrado,BAHIA,Barreiras,173.69,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,9.08,2021,others +Caatinga,BAHIA,Guajeru,0.47,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,825.56,2021,agriculture +Mata Atlântica,BAHIA,Itarantim,12.15,2021,agriculture +Caatinga,BAHIA,Mansidão,2.06,2021,agriculture +Caatinga,BAHIA,Paulo Afonso,1.45,2021,others +Caatinga,BAHIA,Inhambupe,67.25,2021,others +Cerrado,BAHIA,Formosa do Rio Preto,17.78,2021,agriculture +Caatinga,BAHIA,Aracatu,3.03,2021,others +Caatinga,BAHIA,Casa Nova,1.62,2021,others +Caatinga,BAHIA,Várzea da Roça,2.69,2021,others +Caatinga,BAHIA,Ibicoara,72.5,2021,others +Caatinga,BAHIA,Pindaí,6.31,2021,others +Caatinga,BAHIA,Jeremoabo,89.66,2021,agriculture +Caatinga,BAHIA,Pedro Alexandre,7.65,2021,others +Caatinga,BAHIA,Rio do Antônio,4.54,2021,agriculture +Mata Atlântica,BAHIA,Esplanada,3.19,2021,agriculture +Mata Atlântica,BAHIA,Catu,6.63,2021,agriculture +Caatinga,BAHIA,Rio Real,2.81,2021,others +Caatinga,BAHIA,Malhada,95.55,2021,others +Caatinga,BAHIA,Riacho de Santana,4.0,2021,agriculture +Caatinga,BAHIA,Barra,4.94,2021,urban_expansion +Caatinga,BAHIA,Barra,20.66,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,15.05,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,0.65,2021,agriculture +Caatinga,BAHIA,Feira da Mata,7.32,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,3.02,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,6.89,2021,agriculture +Caatinga,BAHIA,Campo Formoso,2.75,2021,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,2.36,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,4.79,2021,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,2.45,2021,agriculture +Caatinga,BAHIA,Wanderley,18.69,2021,agriculture +Mata Atlântica,BAHIA,Pau Brasil,2.37,2021,agriculture +Caatinga,BAHIA,Cotegipe,4.6,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,10.95,2021,agriculture +Cerrado,BAHIA,Barreiras,133.26,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,415.33,2021,agriculture +Caatinga,BAHIA,Mansidão,3.79,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.73,2021,agriculture +Caatinga,BAHIA,Ibiassucê,4.68,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,16.97,2021,agriculture +Caatinga,BAHIA,Ipirá,11.93,2021,agriculture +Caatinga,BAHIA,Mansidão,0.68,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,0.87,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,56.72,2021,agriculture +Caatinga,BAHIA,Cotegipe,12.65,2021,agriculture +Caatinga,BAHIA,Angical,42.59,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,7.65,2021,others +Cerrado,BAHIA,Cristópolis,5.38,2021,agriculture +Caatinga,BAHIA,Paratinga,12.46,2021,agriculture +Caatinga,BAHIA,Miguel Calmon,2.51,2021,others +Caatinga,BAHIA,Monte Santo,22.89,2021,agriculture +Caatinga,BAHIA,Feira da Mata,4.55,2021,others +Cerrado,BAHIA,Baianópolis,23.89,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,11.26,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,2.13,2021,others +Caatinga,BAHIA,Bom Jesus da Lapa,8.05,2021,others +Caatinga,BAHIA,Campo Alegre de Lourdes,3.14,2021,others +Caatinga,BAHIA,Licínio de Almeida,4.75,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,12.88,2021,others +Cerrado,BAHIA,Boquira,0.42,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,3.46,2021,others +Caatinga,BAHIA,Ibitiara,2.84,2021,agriculture +Caatinga,BAHIA,Umburanas,6.05,2021,agriculture +Caatinga,BAHIA,Poções,1.1,2021,others +Caatinga,BAHIA,Ipirá,1.02,2021,agriculture +Caatinga,BAHIA,Itaberaba,1.13,2021,others +Caatinga,BAHIA,Uauá,32.41,2021,others +Caatinga,BAHIA,Euclides da Cunha,35.28,2021,agriculture +Caatinga,BAHIA,Ibitiara,14.12,2021,agriculture +Caatinga,BAHIA,Santana,22.1,2021,agriculture +Caatinga,BAHIA,Tremedal,5.03,2021,others +Cerrado,BAHIA,Cocos,25.34,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,87.72,2021,agriculture +Caatinga,BAHIA,Carinhanha,112.49,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,6.78,2021,agriculture +Mata Atlântica,BAHIA,Prado,9.19,2022,urban_expansion +Mata Atlântica,BAHIA,Belo Campo,26.24,2022,agriculture +Mata Atlântica,BAHIA,Brejões,3.42,2022,agriculture +Mata Atlântica,BAHIA,Iguaí,3.0,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,16.25,2022,agriculture +Mata Atlântica,BAHIA,Dário Meira,0.69,2022,agriculture +Cerrado,BAHIA,São Desidério,175.94,2022,agriculture +Cerrado,BAHIA,São Desidério,88.01,2022,agriculture +Caatinga,BAHIA,Brejolândia,3.44,2022,agriculture +Cerrado,BAHIA,Coribe,3.05,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,36.29,2022,agriculture +Cerrado,BAHIA,Coribe,72.39,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,4.58,2022,agriculture +Mata Atlântica,BAHIA,Itabela,5.78,2022,agriculture +Mata Atlântica,BAHIA,São Sebastião do Passé,9.25,2022,agriculture +Mata Atlântica,BAHIA,Aratuípe,3.19,2022,agriculture +Mata Atlântica,BAHIA,Esplanada,4.43,2022,agriculture +Mata Atlântica,BAHIA,Salvador,4.49,2022,mining +Mata Atlântica,BAHIA,Taperoá,2.04,2022,agriculture +Mata Atlântica,BAHIA,Mucuri,1.31,2022,agriculture +Cerrado,BAHIA,Correntina,93.58,2022,agriculture +Caatinga,BAHIA,São José do Jacuípe,1.16,2022,others +Caatinga,BAHIA,Pindobaçu,44.69,2022,others +Cerrado,BAHIA,Riachão das Neves,114.11,2022,agriculture +Caatinga,BAHIA,Sátiro Dias,471.87,2022,others +Caatinga,BAHIA,Matina,2.06,2022,others +Caatinga,BAHIA,Mundo Novo,30.09,2022,others +Caatinga,BAHIA,Matina,1.24,2022,agriculture +Caatinga,BAHIA,Campo Formoso,2.85,2022,others +Caatinga,BAHIA,Riacho de Santana,1.55,2022,others +Caatinga,BAHIA,Pedro Alexandre,2.89,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,6.51,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.92,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,4.8,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,14.1,2022,agriculture +Caatinga,BAHIA,Paratinga,1.58,2022,others +Caatinga,BAHIA,Paripiranga,11.35,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,42.41,2022,agriculture +Caatinga,BAHIA,Boquira,0.78,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,434.09,2022,agriculture +Mata Atlântica,BAHIA,Barra do Choça,1.73,2022,agriculture +Mata Atlântica,BAHIA,Itagibá,22.62,2022,agriculture +Mata Atlântica,BAHIA,Jandaíra,0.9,2022,agriculture +Mata Atlântica,BAHIA,Maraú,1.1,2022,agriculture +Mata Atlântica,BAHIA,Pojuca,1.67,2022,agriculture +Mata Atlântica,BAHIA,Aporá,14.51,2022,agriculture +Caatinga,BAHIA,Santana,7.07,2022,agriculture +Caatinga,BAHIA,Jeremoabo,4.32,2022,agriculture +Cerrado,BAHIA,Correntina,6.97,2022,urban_expansion +Cerrado,BAHIA,São Desidério,1.04,2022,agriculture +Caatinga,BAHIA,Euclides da Cunha,8.34,2022,agriculture +Caatinga,BAHIA,Rafael Jambeiro,1.73,2022,others +Caatinga,BAHIA,Barra do Mendes,0.62,2022,others +Caatinga,BAHIA,Sítio do Mato,33.88,2022,others +Caatinga,BAHIA,Cícero Dantas,2.75,2022,others +Caatinga,BAHIA,Brumado,26.56,2022,agriculture +Caatinga,BAHIA,Souto Soares,1.42,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,0.67,2022,others +Caatinga,BAHIA,Tucano,9.1,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,10.89,2022,agriculture +Caatinga,BAHIA,Jeremoabo,14.57,2022,others +Caatinga,BAHIA,Sítio do Mato,4.65,2022,others +Caatinga,BAHIA,Novo Triunfo,19.72,2022,others +Cerrado,BAHIA,Santana,9.01,2022,agriculture +Caatinga,BAHIA,Rio de Contas,1.18,2022,others +Caatinga,BAHIA,Coronel João Sá,20.97,2022,agriculture +Cerrado,BAHIA,Cristópolis,84.39,2022,agriculture +Caatinga,BAHIA,Jeremoabo,0.9,2022,others +Caatinga,BAHIA,São Félix do Coribe,100.37,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,13.75,2022,agriculture +Caatinga,BAHIA,Jeremoabo,7.62,2022,others +Caatinga,BAHIA,Santana,22.0,2022,agriculture +Cerrado,BAHIA,Barreiras,831.76,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,428.29,2022,agriculture +Cerrado,BAHIA,Baianópolis,11.11,2022,agriculture +Caatinga,BAHIA,Cansanção,8.67,2022,others +Caatinga,BAHIA,Monte Santo,3.72,2022,others +Caatinga,BAHIA,Cansanção,23.89,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.43,2022,others +Caatinga,BAHIA,Correntina,12.29,2022,others +Caatinga,BAHIA,Monte Santo,0.32,2022,others +Caatinga,BAHIA,Mirangaba,19.27,2022,agriculture +Caatinga,BAHIA,Itaeté,9.71,2022,others +Caatinga,BAHIA,Riacho de Santana,6.62,2022,others +Caatinga,BAHIA,Serra do Ramalho,11.32,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,1.92,2022,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,4.72,2022,agriculture +Mata Atlântica,BAHIA,Taperoá,6.08,2022,agriculture +Mata Atlântica,BAHIA,Santa Luzia,3.22,2022,agriculture +Mata Atlântica,BAHIA,Irajuba,1.31,2022,agriculture +Cerrado,BAHIA,São Desidério,198.85,2022,agriculture +Cerrado,BAHIA,São Desidério,177.29,2022,agriculture +Cerrado,BAHIA,Barreiras,191.57,2019,agriculture +Mata Atlântica,BAHIA,Encruzilhada,18.16,2019,agriculture +Caatinga,BAHIA,Ibicoara,24.26,2019,agriculture +Mata Atlântica,BAHIA,Igrapiúna,1.21,2019,agriculture +Mata Atlântica,BAHIA,Coração de Maria,22.76,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,26.07,2019,agriculture +Cerrado,BAHIA,Coribe,19.42,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,24.6,2019,agriculture +Mata Atlântica,BAHIA,Aratuípe,5.29,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,25.92,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,3.41,2019,agriculture +Mata Atlântica,BAHIA,Itapé,40.3,2019,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,6.21,2019,agriculture +Caatinga,BAHIA,São Félix do Coribe,72.79,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.27,2019,agriculture +Mata Atlântica,BAHIA,Jandaíra,2.6,2019,agriculture +Mata Atlântica,BAHIA,Rio Real,4.47,2019,agriculture +Mata Atlântica,BAHIA,Catu,22.71,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,27.48,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,134.4,2019,agriculture +Mata Atlântica,BAHIA,Eunápolis,20.71,2019,agriculture +Cerrado,BAHIA,Cotegipe,3.06,2019,agriculture +Cerrado,BAHIA,Baianópolis,12.58,2019,agriculture +Caatinga,BAHIA,Saúde,3.81,2019,agriculture +Mata Atlântica,BAHIA,Jequié,2.68,2019,agriculture +Caatinga,BAHIA,Euclides da Cunha,37.94,2019,agriculture +Caatinga,BAHIA,Mucugê,4.4,2019,agriculture +Cerrado,BAHIA,São Desidério,21.26,2019,agriculture +Cerrado,BAHIA,Cristópolis,6.0,2019,agriculture +Cerrado,BAHIA,Barreiras,359.4,2019,agriculture +Cerrado,BAHIA,São Desidério,5.99,2019,agriculture +Cerrado,BAHIA,Cocos,13.36,2019,agriculture +Caatinga,BAHIA,Feira da Mata,12.6,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,54.0,2019,agriculture +Cerrado,BAHIA,Serra Dourada,4.22,2019,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,1.73,2019,agriculture +Mata Atlântica,BAHIA,Camamu,10.59,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,4.17,2019,agriculture +Mata Atlântica,BAHIA,Pau Brasil,4.7,2019,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.75,2019,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.25,2019,agriculture +Mata Atlântica,BAHIA,Jussari,4.76,2019,agriculture +Mata Atlântica,BAHIA,Guaratinga,1.36,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,24.84,2020,agriculture +Caatinga,BAHIA,Correntina,17.88,2020,agriculture +Cerrado,BAHIA,São Desidério,3.23,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,920.13,2020,agriculture +Cerrado,BAHIA,São Desidério,67.3,2020,agriculture +Cerrado,BAHIA,Cocos,7.44,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.2,2020,agriculture +Cerrado,BAHIA,Cristópolis,6.28,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,523.75,2020,agriculture +Mata Atlântica,BAHIA,Catu,2.94,2020,agriculture +Mata Atlântica,BAHIA,Barro Preto,21.06,2020,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,2.76,2020,agriculture +Mata Atlântica,BAHIA,Prado,4.47,2020,agriculture +Mata Atlântica,BAHIA,Itororó,2.39,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,2.54,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,5.12,2020,agriculture +Cerrado,BAHIA,Baianópolis,13.7,2020,agriculture +Caatinga,BAHIA,Aracatu,57.84,2020,agriculture +Mata Atlântica,BAHIA,Planalto,6.72,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,13.35,2020,agriculture +Caatinga,BAHIA,Itapicuru,68.56,2020,agriculture +Caatinga,BAHIA,Seabra,26.44,2020,agriculture +Cerrado,BAHIA,Mansidão,2.29,2020,agriculture +Caatinga,BAHIA,Serra Dourada,45.36,2020,agriculture +Mata Atlântica,BAHIA,Aiquara,22.27,2020,agriculture +Mata Atlântica,BAHIA,Jucuruçu,3.5,2020,agriculture +Cerrado,BAHIA,Correntina,247.35,2020,agriculture +Cerrado,BAHIA,Barreiras,8.52,2020,agriculture +Caatinga,BAHIA,Ituaçu,100.68,2020,agriculture +Caatinga,BAHIA,Wanderley,35.51,2020,agriculture +Caatinga,BAHIA,Paramirim,14.83,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,105.51,2020,agriculture +Caatinga,BAHIA,Cotegipe,9.73,2020,agriculture +Caatinga,BAHIA,Jeremoabo,4.09,2020,agriculture +Caatinga,BAHIA,Feira da Mata,3.63,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,148.31,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,3.91,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,8.67,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,9.83,2020,agriculture +Caatinga,BAHIA,Brejolândia,3.3,2020,agriculture +Caatinga,BAHIA,Glória,6.27,2020,agriculture +Caatinga,BAHIA,Brumado,14.48,2020,agriculture +Caatinga,BAHIA,Angical,168.55,2020,agriculture +Caatinga,BAHIA,Brejolândia,3.91,2020,agriculture +Cerrado,BAHIA,Baianópolis,43.76,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,70.03,2020,agriculture +Cerrado,BAHIA,Cristópolis,8.83,2020,agriculture +Caatinga,BAHIA,Sento Sé,5.32,2020,agriculture +Caatinga,BAHIA,Botuporã,5.67,2020,agriculture +Caatinga,BAHIA,Jacaraci,3.87,2020,agriculture +Caatinga,BAHIA,Maracás,2.92,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.39,2020,agriculture +Caatinga,BAHIA,Feira da Mata,4.27,2020,agriculture +Caatinga,BAHIA,Santana,9.04,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,3.43,2020,agriculture +Caatinga,BAHIA,Barra,53.07,2020,agriculture +Caatinga,BAHIA,Poções,1.08,2020,agriculture +Caatinga,BAHIA,Mortugaba,3.91,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,3.44,2020,agriculture +Mata Atlântica,BAHIA,Ibicaraí,1.18,2020,agriculture +Mata Atlântica,BAHIA,Ibirataia,1.14,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,8.98,2020,agriculture +Caatinga,BAHIA,Feira da Mata,20.6,2020,agriculture +Caatinga,BAHIA,Wagner,7.67,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,2.91,2020,agriculture +Caatinga,BAHIA,Ipupiara,2.1,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,1.95,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,5.23,2020,agriculture +Caatinga,BAHIA,Casa Nova,7.09,2020,agriculture +Caatinga,BAHIA,Ituaçu,1.24,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,3.39,2020,agriculture +Caatinga,BAHIA,Angical,21.77,2020,agriculture +Cerrado,BAHIA,Cristópolis,19.39,2020,agriculture +Cerrado,BAHIA,Cristópolis,59.17,2020,agriculture +Mata Atlântica,BAHIA,Jaguaquara,0.39,2020,agriculture +Mata Atlântica,BAHIA,Itaquara,1.53,2020,agriculture +Caatinga,BAHIA,Serrinha,24.53,2020,agriculture +Caatinga,BAHIA,João Dourado,11.12,2020,agriculture +Caatinga,BAHIA,Ituaçu,0.71,2020,agriculture +Mata Atlântica,BAHIA,Una,3.98,2020,agriculture +Mata Atlântica,BAHIA,Itabuna,5.17,2020,agriculture +Caatinga,BAHIA,Tanhaçu,3.54,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,9.14,2020,agriculture +Caatinga,BAHIA,Brumado,5.15,2020,agriculture +Caatinga,BAHIA,Brumado,8.51,2020,agriculture +Caatinga,BAHIA,Brumado,4.12,2020,agriculture +Caatinga,BAHIA,Brumado,3.6,2020,agriculture +Caatinga,BAHIA,Brumado,4.73,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,2.59,2020,agriculture +Cerrado,BAHIA,Caetité,0.71,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,11.6,2020,agriculture +Cerrado,BAHIA,Caetité,0.75,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.18,2020,agriculture +Caatinga,BAHIA,Caraíbas,4.45,2020,agriculture +Caatinga,BAHIA,Carinhanha,12.04,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,26.95,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,16.51,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,7.87,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,26.36,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,14.45,2021,agriculture +Caatinga,BAHIA,Jeremoabo,7.17,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,36.94,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,25.1,2021,agriculture +Mata Atlântica,BAHIA,Barro Preto,3.6,2021,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,5.0,2021,agriculture +Caatinga,BAHIA,Quijingue,2.95,2021,agriculture +Caatinga,BAHIA,Anagé,0.72,2021,agriculture +Caatinga,BAHIA,Itaeté,27.92,2021,agriculture +Mata Atlântica,BAHIA,Água Fria,2.38,2021,agriculture +Caatinga,BAHIA,Casa Nova,23.35,2021,agriculture +Caatinga,BAHIA,Santaluz,3.16,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,11.28,2021,agriculture +Caatinga,BAHIA,Serrinha,56.49,2021,agriculture +Mata Atlântica,BAHIA,Itacaré,3.92,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,2.12,2021,agriculture +Caatinga,BAHIA,Brumado,6.36,2021,agriculture +Caatinga,BAHIA,Mortugaba,9.68,2021,agriculture +Caatinga,BAHIA,Cotegipe,3.62,2021,agriculture +Mata Atlântica,BAHIA,Laje,1.5,2021,agriculture +Caatinga,BAHIA,Milagres,11.38,2021,agriculture +Cerrado,BAHIA,São Desidério,381.51,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,12.3,2021,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,1.37,2021,agriculture +Mata Atlântica,BAHIA,Eunápolis,1.69,2021,agriculture +Caatinga,BAHIA,Mundo Novo,2.37,2021,agriculture +Cerrado,BAHIA,Igaporã,2.49,2021,agriculture +Cerrado,BAHIA,Paratinga,1.85,2021,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,0.56,2021,agriculture +Caatinga,BAHIA,Angical,3.77,2021,agriculture +Cerrado,BAHIA,Caetité,1.82,2021,agriculture +Caatinga,BAHIA,Ibipitanga,3.29,2021,agriculture +Caatinga,BAHIA,Ibipitanga,1.2,2021,agriculture +Caatinga,BAHIA,Rio do Pires,7.55,2021,agriculture +Caatinga,BAHIA,Juazeiro,5.32,2021,urban_expansion +Cerrado,BAHIA,Formosa do Rio Preto,2.2,2021,agriculture +Caatinga,BAHIA,Mucugê,0.44,2021,agriculture +Caatinga,BAHIA,Andorinha,12.86,2021,agriculture +Caatinga,BAHIA,Tucano,0.79,2021,agriculture +Cerrado,BAHIA,Baianópolis,3.81,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,7.67,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,0.88,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,7.23,2021,others +Cerrado,BAHIA,Baianópolis,420.73,2021,agriculture +Cerrado,BAHIA,Baianópolis,50.71,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,3.86,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,11.98,2021,agriculture +Caatinga,BAHIA,Paulo Afonso,4.61,2021,others +Caatinga,BAHIA,Piatã,0.93,2021,others +Caatinga,BAHIA,Canudos,7.5,2021,agriculture +Caatinga,BAHIA,Anagé,7.57,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.35,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.87,2021,agriculture +Caatinga,BAHIA,Matina,2.71,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,0.88,2021,agriculture +Caatinga,BAHIA,Brumado,9.1,2021,agriculture +Caatinga,BAHIA,Brumado,5.25,2021,others +Caatinga,BAHIA,Juazeiro,12.99,2021,others +Caatinga,BAHIA,Cipó,8.54,2021,others +Caatinga,BAHIA,Presidente Jânio Quadros,6.78,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,8.73,2021,agriculture +Caatinga,BAHIA,Inhambupe,5.55,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,29.32,2021,agriculture +Caatinga,BAHIA,Carinhanha,4.25,2021,agriculture +Mata Atlântica,BAHIA,Vera Cruz,1.95,2021,agriculture +Caatinga,BAHIA,Cotegipe,5.28,2021,others +Caatinga,BAHIA,Jaborandi,1.69,2020,agriculture +Caatinga,BAHIA,Buritirama,1.71,2020,others +Cerrado,BAHIA,Formosa do Rio Preto,26.79,2020,agriculture +Cerrado,BAHIA,São Desidério,7.62,2020,agriculture +Cerrado,BAHIA,São Desidério,75.39,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,7.4,2020,agriculture +Caatinga,BAHIA,Angical,4.47,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.3,2020,agriculture +Caatinga,BAHIA,Morpará,2.54,2020,others +Caatinga,BAHIA,Barra,2.7,2020,agriculture +Caatinga,BAHIA,Wanderley,10.06,2020,agriculture +Caatinga,BAHIA,Wanderley,5.04,2020,agriculture +Cerrado,BAHIA,Cristópolis,13.89,2020,agriculture +Caatinga,BAHIA,Barra,4.99,2020,agriculture +Caatinga,BAHIA,Malhada,3.86,2020,agriculture +Cerrado,BAHIA,Cotegipe,12.95,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,2.58,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,4.57,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,5.81,2020,agriculture +Caatinga,BAHIA,Brejolândia,9.91,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,1.47,2020,agriculture +Cerrado,BAHIA,São Desidério,1.07,2020,agriculture +Cerrado,BAHIA,Baianópolis,2.21,2020,agriculture +Cerrado,BAHIA,Baianópolis,0.75,2020,agriculture +Cerrado,BAHIA,Catolândia,3.11,2020,agriculture +Cerrado,BAHIA,Catolândia,1.89,2020,agriculture +Caatinga,BAHIA,Santana,4.96,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,3.53,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,3.11,2020,others +Caatinga,BAHIA,Serra do Ramalho,2.16,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,1.08,2020,agriculture +Caatinga,BAHIA,Brejolândia,6.85,2020,others +Caatinga,BAHIA,Buritirama,2.0,2020,agriculture +Caatinga,BAHIA,Buritirama,6.45,2020,others +Caatinga,BAHIA,Buritirama,0.76,2020,others +Caatinga,BAHIA,Buritirama,0.8,2020,others +Caatinga,BAHIA,Buritirama,1.73,2020,others +Caatinga,BAHIA,Buritirama,1.88,2020,others +Caatinga,BAHIA,Muquém do São Francisco,1.56,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,15.33,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,11.41,2020,agriculture +Cerrado,BAHIA,Barreiras,0.35,2020,agriculture 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+Caatinga,BAHIA,Jeremoabo,7.64,2021,agriculture +Cerrado,BAHIA,Jaborandi,1.01,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,0.87,2021,others +Caatinga,BAHIA,Uauá,3.6,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,4.27,2021,agriculture +Caatinga,BAHIA,Nova Soure,5.63,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,2.69,2021,agriculture +Caatinga,BAHIA,Barra da Estiva,1.65,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,11.77,2021,agriculture +Caatinga,BAHIA,Caculé,4.67,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,8.45,2021,others +Caatinga,BAHIA,Bom Jesus da Lapa,3.32,2021,others +Caatinga,BAHIA,Macaúbas,1.1,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,24.15,2021,others +Caatinga,BAHIA,Cícero Dantas,0.74,2021,agriculture +Caatinga,BAHIA,Brejolândia,32.31,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,1.18,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,169.65,2021,agriculture +Caatinga,BAHIA,Cotegipe,29.25,2021,others +Caatinga,BAHIA,Malhada,32.88,2021,others +Cerrado,BAHIA,Formosa do Rio Preto,330.05,2021,agriculture +Caatinga,BAHIA,Matina,8.97,2021,others +Caatinga,BAHIA,Malhada,3.14,2021,agriculture +Caatinga,BAHIA,Feira da Mata,60.43,2021,agriculture +Cerrado,BAHIA,Jaborandi,3.8,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,19.66,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,2.01,2021,agriculture +Mata Atlântica,BAHIA,Jitaúna,0.11,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,9.9,2021,agriculture +Caatinga,BAHIA,Tapiramutá,4.14,2021,agriculture +Caatinga,BAHIA,Buritirama,2.33,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,41.2,2021,agriculture +Caatinga,BAHIA,Jeremoabo,38.27,2021,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,11.4,2021,agriculture +Caatinga,BAHIA,Mansidão,1.61,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,19.3,2021,agriculture +Caatinga,BAHIA,Urandi,15.86,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,3.73,2021,agriculture +Caatinga,BAHIA,Mansidão,1.06,2021,agriculture +Caatinga,BAHIA,Buritirama,3.55,2021,agriculture +Caatinga,BAHIA,Mansidão,2.12,2021,agriculture +Caatinga,BAHIA,Buritirama,1.52,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,12.27,2021,others +Caatinga,BAHIA,Campo Alegre de Lourdes,4.96,2021,agriculture +Caatinga,BAHIA,Macaúbas,4.36,2021,agriculture +Caatinga,BAHIA,Sento Sé,3.08,2021,agriculture +Caatinga,BAHIA,Juazeiro,2.53,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,54.58,2021,others +Caatinga,BAHIA,Carinhanha,2.37,2021,agriculture +Caatinga,BAHIA,Carinhanha,4.87,2021,others +Caatinga,BAHIA,Cocos,23.93,2021,others +Caatinga,BAHIA,Malhada,54.82,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,4.99,2021,others +Caatinga,BAHIA,Morro do Chapéu,4.52,2021,others +Caatinga,BAHIA,Sobradinho,0.98,2021,others +Caatinga,BAHIA,Licínio de Almeida,2.25,2021,agriculture +Caatinga,BAHIA,Contendas do Sincorá,3.62,2021,agriculture +Cerrado,BAHIA,Cocos,62.8,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,27.71,2021,others +Caatinga,BAHIA,Sítio do Mato,6.08,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,5.16,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,1.26,2021,others +Caatinga,BAHIA,Ibitiara,7.29,2021,others +Caatinga,BAHIA,Aracatu,1.77,2021,others +Caatinga,BAHIA,Senhor do Bonfim,2.08,2021,agriculture +Caatinga,BAHIA,Nova Soure,18.2,2021,agriculture +Mata Atlântica,BAHIA,Água Fria,264.45,2021,urban_expansion +Caatinga,BAHIA,Jeremoabo,657.78,2021,others +Caatinga,BAHIA,Brejolândia,17.33,2021,agriculture +Caatinga,BAHIA,Monte Santo,5.12,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,88.31,2021,agriculture +Cerrado,BAHIA,Baianópolis,107.16,2021,agriculture +Caatinga,BAHIA,Jaborandi,29.62,2021,agriculture +Caatinga,BAHIA,Santana,33.57,2021,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,43.12,2021,urban_expansion +Mata Atlântica,BAHIA,Itaquara,14.83,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,1.81,2021,agriculture +Cerrado,BAHIA,Cristópolis,10.65,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,22.7,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,3.47,2022,agriculture +Cerrado,BAHIA,Catolândia,162.58,2022,agriculture +Cerrado,BAHIA,Coribe,389.39,2022,agriculture +Caatinga,BAHIA,Maracás,9.88,2022,agriculture +Caatinga,BAHIA,Conceição do Coité,38.43,2022,agriculture +Caatinga,BAHIA,Macaúbas,11.22,2022,others +Cerrado,BAHIA,Barreiras,70.11,2022,agriculture +Cerrado,BAHIA,São Desidério,147.86,2022,agriculture +Caatinga,BAHIA,Campo Formoso,11.38,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,0.85,2022,others +Cerrado,BAHIA,Igaporã,0.8,2022,agriculture +Cerrado,BAHIA,Igaporã,2.77,2022,agriculture +Caatinga,BAHIA,Jeremoabo,9.68,2022,others +Caatinga,BAHIA,Barra da Estiva,1.89,2022,others +Cerrado,BAHIA,Riachão das Neves,15.19,2022,agriculture +Caatinga,BAHIA,Piatã,0.4,2022,others +Caatinga,BAHIA,Matina,0.71,2022,agriculture +Caatinga,BAHIA,Buritirama,1.24,2022,agriculture +Caatinga,BAHIA,Sátiro Dias,13.33,2022,agriculture +Caatinga,BAHIA,Tucano,17.15,2022,others +Caatinga,BAHIA,Mirangaba,0.87,2022,others +Caatinga,BAHIA,Matina,2.31,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,0.83,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.38,2022,others +Caatinga,BAHIA,Barra,1.26,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.49,2022,agriculture +Mata Atlântica,BAHIA,Buerarema,1.85,2022,agriculture +Mata Atlântica,BAHIA,Itacaré,0.45,2022,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,0.61,2022,agriculture +Mata Atlântica,BAHIA,Itapé,0.83,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,2.03,2022,agriculture +Mata Atlântica,BAHIA,Inhambupe,3.68,2022,agriculture +Mata Atlântica,BAHIA,Cachoeira,0.87,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,3.15,2022,agriculture +Mata Atlântica,BAHIA,Amargosa,0.74,2022,agriculture +Cerrado,BAHIA,São Desidério,15.78,2022,agriculture +Caatinga,BAHIA,Campo Formoso,3.97,2022,agriculture +Caatinga,BAHIA,Wanderley,0.87,2022,agriculture +Caatinga,BAHIA,Glória,5.13,2022,others +Caatinga,BAHIA,Brumado,17.17,2022,others +Cerrado,BAHIA,Riachão das Neves,8.51,2022,agriculture +Cerrado,BAHIA,Catolândia,2.31,2022,agriculture +Caatinga,BAHIA,Paulo Afonso,1.72,2022,others +Cerrado,BAHIA,Riacho de Santana,2.41,2022,agriculture +Caatinga,BAHIA,Brotas de Macaúbas,0.86,2022,others +Caatinga,BAHIA,Sobradinho,0.72,2022,others +Caatinga,BAHIA,Jeremoabo,7.38,2022,others +Caatinga,BAHIA,Wanderley,269.32,2022,agriculture +Caatinga,BAHIA,Carinhanha,15.64,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,48.81,2022,agriculture +Caatinga,BAHIA,Buritirama,1.85,2022,others +Caatinga,BAHIA,Monte Santo,22.52,2022,others +Caatinga,BAHIA,Buritirama,2.21,2022,others +Caatinga,BAHIA,Brumado,2.77,2022,others +Caatinga,BAHIA,Jeremoabo,8.22,2022,others +Caatinga,BAHIA,Tanhaçu,0.8,2022,others +Caatinga,BAHIA,Monte Santo,4.28,2022,others +Caatinga,BAHIA,Pilão Arcado,0.52,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,7.6,2022,others +Cerrado,BAHIA,Canápolis,4.02,2022,agriculture +Caatinga,BAHIA,Piatã,0.73,2022,others +Cerrado,BAHIA,Serra Dourada,0.64,2022,agriculture +Caatinga,BAHIA,Carinhanha,2.0,2022,agriculture +Caatinga,BAHIA,Feira da Mata,12.96,2022,agriculture +Mata Atlântica,BAHIA,Buerarema,0.66,2022,agriculture +Mata Atlântica,BAHIA,Eunápolis,5.06,2022,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,3.17,2022,agriculture +Caatinga,BAHIA,Itapicuru,8.29,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,12.1,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,24.53,2019,agriculture +Mata Atlântica,BAHIA,Itapé,11.16,2019,agriculture +Mata Atlântica,BAHIA,Poções,1.48,2019,agriculture +Mata Atlântica,BAHIA,Camacan,25.12,2019,agriculture +Mata Atlântica,BAHIA,Cardeal da Silva,9.7,2019,agriculture +Cerrado,BAHIA,Jaborandi,111.66,2019,agriculture +Cerrado,BAHIA,Cocos,261.27,2019,agriculture +Cerrado,BAHIA,Jaborandi,22.44,2019,agriculture +Caatinga,BAHIA,Santana,20.68,2019,agriculture +Cerrado,BAHIA,Jaborandi,10.04,2019,agriculture +Cerrado,BAHIA,São Desidério,226.2,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.95,2019,agriculture +Caatinga,BAHIA,São Félix do Coribe,41.29,2019,agriculture +Caatinga,BAHIA,Morro do Chapéu,6.2,2019,agriculture +Cerrado,BAHIA,Barreiras,20.32,2019,agriculture +Cerrado,BAHIA,Correntina,835.83,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,42.13,2019,urban_expansion +Cerrado,BAHIA,Barreiras,179.78,2019,agriculture +Caatinga,BAHIA,Coribe,1.52,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,11.79,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,13.05,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,53.86,2019,agriculture +Caatinga,BAHIA,São Félix do Coribe,5.58,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,120.66,2019,agriculture +Cerrado,BAHIA,São Desidério,11.7,2019,agriculture +Mata Atlântica,BAHIA,Jaguaquara,0.78,2019,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,3.62,2019,agriculture +Mata Atlântica,BAHIA,Itabuna,2.46,2019,agriculture +Mata Atlântica,BAHIA,Almadina,5.01,2019,agriculture +Mata Atlântica,BAHIA,Valença,3.81,2019,agriculture +Mata Atlântica,BAHIA,Cândido Sales,0.88,2019,agriculture +Mata Atlântica,BAHIA,Itagimirim,1.28,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,900.81,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,741.18,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,12.33,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,69.45,2020,agriculture +Cerrado,BAHIA,Barreiras,211.76,2020,agriculture +Cerrado,BAHIA,Correntina,116.42,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,4.87,2020,urban_expansion +Mata Atlântica,BAHIA,Entre Rios,2.41,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.21,2020,agriculture +Mata Atlântica,BAHIA,Camamu,7.51,2020,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,2.95,2020,agriculture +Mata Atlântica,BAHIA,Itacaré,3.64,2020,agriculture +Mata Atlântica,BAHIA,Arataca,3.66,2020,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,1.51,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,1.88,2020,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,0.98,2020,agriculture +Mata Atlântica,BAHIA,Camacan,7.22,2020,agriculture +Mata Atlântica,BAHIA,Itapé,14.28,2020,agriculture +Mata Atlântica,BAHIA,Brejões,6.14,2020,agriculture +Mata Atlântica,BAHIA,Itagi,1.02,2020,agriculture +Mata Atlântica,BAHIA,Iguaí,1.32,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,8.81,2020,agriculture +Caatinga,BAHIA,Andaraí,3.22,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.01,2020,agriculture +Caatinga,BAHIA,Iaçu,3.97,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,33.23,2020,agriculture +Caatinga,BAHIA,Piatã,1.04,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,19.66,2020,agriculture +Caatinga,BAHIA,Jussiape,9.55,2020,agriculture +Cerrado,BAHIA,Cocos,9.23,2020,agriculture +Cerrado,BAHIA,Cocos,9.12,2020,agriculture +Cerrado,BAHIA,Cocos,3.43,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.64,2020,agriculture +Caatinga,BAHIA,Piatã,1.1,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,38.5,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,83.52,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,3.07,2020,agriculture +Mata Atlântica,BAHIA,Lajedo do Tabocal,38.12,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,13.15,2020,agriculture +Caatinga,BAHIA,Iraquara,3.07,2020,agriculture +Caatinga,BAHIA,Brejolândia,14.18,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,64.05,2020,agriculture +Caatinga,BAHIA,Wanderley,11.16,2020,agriculture +Cerrado,BAHIA,São Desidério,7.58,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,11.36,2020,agriculture +Caatinga,BAHIA,Malhada,9.44,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,4.49,2020,agriculture +Caatinga,BAHIA,Feira da Mata,11.71,2020,agriculture +Caatinga,BAHIA,Carinhanha,11.71,2020,agriculture +Caatinga,BAHIA,Piatã,4.45,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,4.63,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,22.19,2020,agriculture +Caatinga,BAHIA,Araci,7.72,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,16.84,2020,agriculture +Caatinga,BAHIA,Ituaçu,11.17,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,18.17,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,1.95,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,2.92,2020,agriculture +Caatinga,BAHIA,Malhada de Pedras,7.38,2020,agriculture +Caatinga,BAHIA,Angical,1.3,2020,agriculture +Caatinga,BAHIA,Jussiape,5.64,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.42,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,2.07,2020,agriculture +Mata Atlântica,BAHIA,Camacan,9.39,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,839.71,2020,agriculture +Cerrado,BAHIA,Cocos,4.44,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,12.54,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.63,2020,agriculture +Caatinga,BAHIA,Andaraí,7.85,2020,agriculture +Mata Atlântica,BAHIA,Nova Itarana,41.68,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,9.33,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.52,2020,agriculture +Mata Atlântica,BAHIA,Santa Inês,3.97,2020,agriculture +Cerrado,BAHIA,Baianópolis,7.41,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,422.66,2020,agriculture +Mata Atlântica,BAHIA,Taperoá,0.66,2020,agriculture +Mata Atlântica,BAHIA,Prado,2.22,2020,agriculture +Caatinga,BAHIA,Antônio Gonçalves,3.04,2020,agriculture +Caatinga,BAHIA,Maetinga,4.34,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.34,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,3.39,2020,agriculture +Caatinga,BAHIA,Urandi,1.01,2020,agriculture +Caatinga,BAHIA,Xique-Xique,779.04,2020,agriculture +Caatinga,BAHIA,São Gabriel,16.32,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.81,2020,agriculture +Caatinga,BAHIA,Ibiassucê,3.39,2020,agriculture +Caatinga,BAHIA,Ibitiara,1.3,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,9.53,2020,agriculture +Caatinga,BAHIA,Urandi,2.61,2020,agriculture +Caatinga,BAHIA,Malhada de Pedras,54.99,2020,agriculture +Caatinga,BAHIA,Érico Cardoso,19.21,2020,agriculture +Caatinga,BAHIA,Anagé,4.49,2020,agriculture +Caatinga,BAHIA,Lençóis,2.3,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,7.85,2020,agriculture +Mata Atlântica,BAHIA,Uruçuca,2.11,2021,agriculture +Mata Atlântica,BAHIA,Buerarema,9.31,2021,agriculture +Mata Atlântica,BAHIA,Gongogi,9.64,2021,agriculture +Mata Atlântica,BAHIA,Esplanada,12.79,2021,agriculture +Mata Atlântica,BAHIA,Valença,4.76,2021,agriculture +Caatinga,BAHIA,Ibicoara,2.35,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,7.43,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,11.16,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,10.04,2021,agriculture +Cerrado,BAHIA,Caetité,14.76,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,2.82,2021,agriculture +Caatinga,BAHIA,Paratinga,5.97,2021,agriculture +Caatinga,BAHIA,Sítio do Mato,41.54,2021,agriculture +Caatinga,BAHIA,Iuiu,90.63,2021,agriculture +Caatinga,BAHIA,Angical,42.49,2021,agriculture +Caatinga,BAHIA,Mansidão,6.26,2021,agriculture +Cerrado,BAHIA,Jaborandi,11.52,2021,agriculture +Mata Atlântica,BAHIA,Cachoeira,4.05,2021,agriculture +Mata Atlântica,BAHIA,Uruçuca,3.58,2021,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.24,2021,agriculture +Mata Atlântica,BAHIA,Pau Brasil,4.84,2021,agriculture +Caatinga,BAHIA,Iaçu,304.99,2021,agriculture +Mata Atlântica,BAHIA,Itororó,3.04,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.23,2021,agriculture +Caatinga,BAHIA,Santana,8.69,2021,agriculture +Cerrado,BAHIA,Correntina,144.44,2021,agriculture +Mata Atlântica,BAHIA,Igrapiúna,2.06,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,1.17,2021,agriculture +Mata Atlântica,BAHIA,Brejões,4.92,2021,agriculture +Cerrado,BAHIA,Jaborandi,627.72,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,16.52,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,92.67,2021,agriculture +Mata Atlântica,BAHIA,Valença,4.56,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,3.91,2021,agriculture +Mata Atlântica,BAHIA,Santa Cruz da Vitória,1.58,2021,agriculture +Caatinga,BAHIA,Gentio do Ouro,2.89,2021,agriculture +Caatinga,BAHIA,Barra,1.32,2021,others +Caatinga,BAHIA,Rio do Pires,1.62,2021,agriculture +Caatinga,BAHIA,Boninal,1.53,2021,agriculture +Caatinga,BAHIA,Sento Sé,1.13,2021,agriculture +Caatinga,BAHIA,Uibaí,4.13,2021,agriculture +Caatinga,BAHIA,Jacaraci,6.58,2021,agriculture +Caatinga,BAHIA,Santa Brígida,18.59,2021,agriculture +Caatinga,BAHIA,Umburanas,5.89,2021,agriculture +Caatinga,BAHIA,Cansanção,0.9,2021,agriculture +Caatinga,BAHIA,Conceição do Coité,1.46,2021,agriculture +Caatinga,BAHIA,Tucano,60.8,2021,agriculture +Caatinga,BAHIA,Buritirama,1.32,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,26.36,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,1035.72,2021,agriculture +Caatinga,BAHIA,Barra,1.25,2021,agriculture +Mata Atlântica,BAHIA,Aratuípe,10.86,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1709.23,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,1.63,2021,agriculture +Caatinga,BAHIA,Lajedinho,17.91,2021,agriculture +Caatinga,BAHIA,Iramaia,4.81,2021,agriculture +Caatinga,BAHIA,Itapicuru,3.63,2021,agriculture +Caatinga,BAHIA,Feira da Mata,12.13,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.26,2021,agriculture +Caatinga,BAHIA,Mortugaba,6.6,2021,agriculture +Caatinga,BAHIA,Brumado,4.64,2021,others +Mata Atlântica,BAHIA,Rio Real,1.89,2021,agriculture +Caatinga,BAHIA,Buritirama,19.79,2021,others +Cerrado,BAHIA,Correntina,745.12,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,13.79,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,2.64,2021,agriculture +Mata Atlântica,BAHIA,Ibicuí,1.95,2021,agriculture +Caatinga,BAHIA,Carinhanha,21.3,2021,agriculture +Caatinga,BAHIA,Utinga,7.97,2021,others +Cerrado,BAHIA,Wanderley,3.06,2021,agriculture +Cerrado,BAHIA,Santana,1.4,2020,agriculture +Caatinga,BAHIA,Barra,0.28,2020,others +Caatinga,BAHIA,Cotegipe,1.58,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.47,2020,agriculture +Caatinga,BAHIA,Angical,0.48,2020,others +Caatinga,BAHIA,Angical,1.48,2020,others +Caatinga,BAHIA,Angical,8.4,2020,agriculture +Caatinga,BAHIA,Barra,1.88,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.22,2020,agriculture +Cerrado,BAHIA,Cristópolis,6.48,2020,agriculture +Caatinga,BAHIA,Mansidão,1.27,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.64,2020,agriculture +Caatinga,BAHIA,Iuiu,7.41,2020,agriculture +Cerrado,BAHIA,Serra Dourada,16.07,2020,agriculture +Cerrado,BAHIA,Serra Dourada,1.52,2020,agriculture +Caatinga,BAHIA,Brejolândia,6.12,2020,others +Caatinga,BAHIA,Jaborandi,5.04,2020,agriculture +Cerrado,BAHIA,Correntina,1.1,2020,agriculture +Cerrado,BAHIA,Correntina,9.11,2020,agriculture +Caatinga,BAHIA,Correntina,0.69,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,3.55,2020,agriculture +Cerrado,BAHIA,Baianópolis,2.86,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,10.42,2020,agriculture +Caatinga,BAHIA,Buritirama,4.08,2020,agriculture +Caatinga,BAHIA,Buritirama,0.83,2020,agriculture +Caatinga,BAHIA,Buritirama,0.83,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.51,2020,others +Caatinga,BAHIA,Buritirama,3.35,2020,others +Caatinga,BAHIA,Buritirama,1.91,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.25,2020,others +Caatinga,BAHIA,Ibotirama,3.91,2020,others +Caatinga,BAHIA,Sítio do Mato,2.84,2020,agriculture +Caatinga,BAHIA,Paratinga,4.85,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,20.86,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,6.28,2020,agriculture +Cerrado,BAHIA,Barreiras,3.04,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,5.77,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,16.15,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,2.21,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,2.0,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,0.51,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,16.53,2020,agriculture +Cerrado,BAHIA,Cocos,0.81,2020,agriculture +Caatinga,BAHIA,Carinhanha,5.16,2020,agriculture +Caatinga,BAHIA,Carinhanha,3.25,2020,agriculture +Caatinga,BAHIA,Carinhanha,4.68,2020,agriculture +Caatinga,BAHIA,Ibipeba,0.76,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,6.28,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,3.5,2021,agriculture +Caatinga,BAHIA,Caturama,0.41,2021,others +Caatinga,BAHIA,Casa Nova,0.18,2021,agriculture +Caatinga,BAHIA,Campo Formoso,1.14,2021,agriculture +Caatinga,BAHIA,Monte Santo,1.86,2021,agriculture +Caatinga,BAHIA,Caetité,1.4,2021,others +Caatinga,BAHIA,Caetité,0.17,2021,agriculture +Caatinga,BAHIA,Araci,3.68,2021,agriculture +Cerrado,BAHIA,Correntina,53.06,2021,agriculture +Mata Atlântica,BAHIA,Camaçari,0.89,2021,agriculture +Caatinga,BAHIA,Buritirama,1.49,2021,agriculture +Cerrado,BAHIA,Baianópolis,103.08,2021,agriculture +Caatinga,BAHIA,Santa Brígida,0.77,2021,agriculture +Caatinga,BAHIA,Umburanas,5.31,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,11.95,2021,others +Cerrado,BAHIA,Cotegipe,18.29,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,4.58,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,15.42,2021,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,1.58,2021,agriculture +Caatinga,BAHIA,Piritiba,23.67,2021,agriculture +Caatinga,BAHIA,Feira da Mata,13.29,2021,agriculture +Mata Atlântica,BAHIA,Aporá,42.8,2021,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,8.17,2021,agriculture +Caatinga,BAHIA,Abaíra,6.67,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,2.81,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.28,2021,agriculture +Caatinga,BAHIA,Paratinga,3.11,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,77.86,2021,others +Cerrado,BAHIA,Cocos,58.26,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,0.47,2021,agriculture +Mata Atlântica,BAHIA,Itaju do Colônia,16.59,2021,agriculture +Cerrado,BAHIA,Correntina,200.51,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.76,2021,agriculture +Caatinga,BAHIA,Brumado,5.89,2021,others +Caatinga,BAHIA,Palmas de Monte Alto,5.62,2021,agriculture +Caatinga,BAHIA,Malhada,0.64,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.69,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.26,2021,agriculture +Caatinga,BAHIA,Coribe,10.86,2021,agriculture +Caatinga,BAHIA,Casa Nova,3.58,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,4.28,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,6.23,2021,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,1.97,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.35,2021,agriculture +Caatinga,BAHIA,Milagres,4.47,2021,agriculture +Mata Atlântica,BAHIA,Itaju do Colônia,18.19,2021,agriculture +Caatinga,BAHIA,Canudos,22.47,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,241.66,2021,agriculture +Caatinga,BAHIA,Mansidão,1.17,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,4.53,2021,agriculture +Caatinga,BAHIA,Brumado,3.01,2021,agriculture +Caatinga,BAHIA,Buritirama,0.68,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.42,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.05,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.94,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.13,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,12.56,2021,agriculture +Caatinga,BAHIA,Santo Estêvão,7.26,2021,agriculture +Caatinga,BAHIA,Angical,13.05,2021,others +Caatinga,BAHIA,Angical,12.13,2021,agriculture +Caatinga,BAHIA,Jeremoabo,9.75,2021,agriculture +Caatinga,BAHIA,Ribeira do Pombal,15.51,2021,agriculture +Caatinga,BAHIA,Boninal,5.27,2021,agriculture +Caatinga,BAHIA,Boninal,10.7,2021,others +Caatinga,BAHIA,Campo Formoso,3.83,2021,others +Caatinga,BAHIA,Carinhanha,11.25,2021,others +Caatinga,BAHIA,Feira da Mata,4.23,2021,others +Caatinga,BAHIA,Riacho de Santana,1.87,2021,others +Caatinga,BAHIA,Bom Jesus da Lapa,1.19,2021,others +Caatinga,BAHIA,Buritirama,0.5,2021,others +Caatinga,BAHIA,Campo Alegre de Lourdes,1.85,2021,others +Caatinga,BAHIA,Bonito,17.9,2021,agriculture +Caatinga,BAHIA,Anagé,0.71,2021,others +Caatinga,BAHIA,Presidente Jânio Quadros,10.34,2021,others +Caatinga,BAHIA,Juazeiro,417.59,2021,others +Caatinga,BAHIA,Euclides da Cunha,128.95,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,9.73,2021,others +Caatinga,BAHIA,Itapicuru,176.47,2021,others +Caatinga,BAHIA,Cipó,26.44,2021,others +Mata Atlântica,BAHIA,Amargosa,9.6,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,2.95,2021,agriculture +Caatinga,BAHIA,Brumado,6.73,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.48,2021,others +Cerrado,BAHIA,Cotegipe,212.93,2021,agriculture +Cerrado,BAHIA,Baianópolis,9.04,2021,agriculture +Caatinga,BAHIA,Santana,13.81,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,15.91,2021,agriculture +Cerrado,BAHIA,São Desidério,28.18,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,26.82,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,37.9,2021,agriculture +Caatinga,BAHIA,Anagé,2.46,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,38.44,2021,agriculture +Caatinga,BAHIA,Angical,8.66,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,1.53,2022,agriculture +Mata Atlântica,BAHIA,Jaguaquara,2.73,2022,agriculture +Mata Atlântica,BAHIA,Tremedal,2.51,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,249.28,2022,agriculture +Cerrado,BAHIA,Correntina,580.44,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,22.34,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,37.39,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,930.62,2022,agriculture +Caatinga,BAHIA,Piatã,208.34,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.66,2022,agriculture +Caatinga,BAHIA,Juazeiro,6.24,2022,agriculture +Caatinga,BAHIA,Rio do Pires,14.88,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,7.25,2022,agriculture +Caatinga,BAHIA,Casa Nova,3.13,2022,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,3.29,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,373.0,2022,agriculture +Cerrado,BAHIA,Barreiras,289.89,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,19.97,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,32.47,2022,agriculture +Caatinga,BAHIA,Matina,2.4,2022,others +Caatinga,BAHIA,Matina,4.85,2022,others +Cerrado,BAHIA,Riacho de Santana,2.87,2022,agriculture +Caatinga,BAHIA,Paratinga,3.59,2022,others +Cerrado,BAHIA,Tanque Novo,0.84,2022,agriculture +Caatinga,BAHIA,Quixabeira,30.84,2022,agriculture +Caatinga,BAHIA,Tanhaçu,2.2,2022,others +Caatinga,BAHIA,Ribeira do Amparo,14.61,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,12.66,2022,agriculture +Caatinga,BAHIA,Jeremoabo,4.15,2022,others +Cerrado,BAHIA,Igaporã,2.56,2022,agriculture +Caatinga,BAHIA,Paulo Afonso,4.62,2022,agriculture +Caatinga,BAHIA,Jaguarari,3.65,2022,agriculture +Caatinga,BAHIA,Campo Formoso,6.91,2022,others +Caatinga,BAHIA,Pilão Arcado,3.05,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,8.85,2022,agriculture +Caatinga,BAHIA,Tanque Novo,0.7,2022,others +Caatinga,BAHIA,Cipó,5.02,2022,others +Caatinga,BAHIA,Tanque Novo,3.71,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,2.83,2022,agriculture +Mata Atlântica,BAHIA,Valença,0.66,2022,agriculture +Mata Atlântica,BAHIA,Taperoá,0.38,2022,agriculture +Mata Atlântica,BAHIA,Feira de Santana,45.58,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,1.24,2022,agriculture +Mata Atlântica,BAHIA,Taperoá,0.83,2022,agriculture +Mata Atlântica,BAHIA,Itapetinga,6.03,2022,agriculture +Mata Atlântica,BAHIA,Santa Luzia,0.74,2022,agriculture +Mata Atlântica,BAHIA,Caravelas,0.68,2022,agriculture +Caatinga,BAHIA,Paramirim,10.29,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,10.73,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,64.32,2022,agriculture +Caatinga,BAHIA,Rafael Jambeiro,28.6,2022,others +Caatinga,BAHIA,Carinhanha,13.08,2022,others +Caatinga,BAHIA,Morpará,10.19,2022,agriculture +Caatinga,BAHIA,Rafael Jambeiro,7.9,2022,others +Caatinga,BAHIA,Pindobaçu,4.37,2022,others +Caatinga,BAHIA,Brumado,1.1,2022,others +Caatinga,BAHIA,Juazeiro,10.14,2022,agriculture +Cerrado,BAHIA,Barreiras,3.04,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,8.18,2022,others +Caatinga,BAHIA,Gentio do Ouro,3.8,2022,others +Caatinga,BAHIA,Morpará,4.22,2022,others +Caatinga,BAHIA,Jeremoabo,12.76,2022,others +Cerrado,BAHIA,São Desidério,271.56,2022,agriculture +Caatinga,BAHIA,Xique-Xique,1.37,2022,others +Caatinga,BAHIA,Boquira,19.05,2022,others +Caatinga,BAHIA,Campo Formoso,3.52,2022,others +Caatinga,BAHIA,Jeremoabo,12.18,2022,others +Caatinga,BAHIA,Tucano,37.26,2022,others +Caatinga,BAHIA,Euclides da Cunha,9.5,2022,others +Caatinga,BAHIA,Umburanas,2.87,2022,others +Caatinga,BAHIA,Mundo Novo,15.84,2022,others +Caatinga,BAHIA,Euclides da Cunha,38.93,2022,others +Cerrado,BAHIA,Catolândia,4.43,2022,agriculture +Caatinga,BAHIA,Ibitiara,1.74,2022,others +Caatinga,BAHIA,Buritirama,3.19,2022,others +Caatinga,BAHIA,Jeremoabo,6.39,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,4.08,2022,others +Caatinga,BAHIA,Monte Santo,4.42,2022,others +Caatinga,BAHIA,Pedro Alexandre,42.28,2022,others +Caatinga,BAHIA,Macaúbas,1.36,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,0.42,2022,others +Caatinga,BAHIA,Piatã,3.67,2022,others +Caatinga,BAHIA,Feira da Mata,0.56,2022,others +Caatinga,BAHIA,Itaeté,6.12,2022,others +Caatinga,BAHIA,Coribe,4.55,2022,others +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.99,2022,agriculture +Mata Atlântica,BAHIA,Simões Filho,0.47,2022,urban_expansion +Mata Atlântica,BAHIA,Cândido Sales,7.71,2022,agriculture +Mata Atlântica,BAHIA,Laje,1.02,2022,agriculture +Caatinga,BAHIA,Tucano,34.0,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,25.5,2019,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,0.66,2019,agriculture +Mata Atlântica,BAHIA,Camaçari,2.83,2019,urban_expansion +Cerrado,BAHIA,Brejolândia,6.84,2019,agriculture +Caatinga,BAHIA,Feira da Mata,0.15,2019,agriculture +Caatinga,BAHIA,Mundo Novo,9.67,2019,agriculture +Cerrado,BAHIA,Catolândia,36.7,2019,agriculture +Caatinga,BAHIA,Angical,12.89,2019,agriculture +Caatinga,BAHIA,Jaborandi,17.06,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,8.62,2019,agriculture +Cerrado,BAHIA,Cotegipe,531.73,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.97,2019,agriculture +Cerrado,BAHIA,Barreiras,40.64,2019,agriculture +Cerrado,BAHIA,Correntina,598.95,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,22.67,2019,agriculture +Caatinga,BAHIA,Malhada,24.39,2019,agriculture +Cerrado,BAHIA,Cocos,12.15,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,7.38,2019,urban_expansion 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Atlântica,BAHIA,Jandaíra,1.22,2019,agriculture +Mata Atlântica,BAHIA,Barro Preto,7.38,2019,agriculture +Mata Atlântica,BAHIA,Una,7.34,2019,agriculture +Mata Atlântica,BAHIA,Jucuruçu,3.71,2019,agriculture +Mata Atlântica,BAHIA,Aiquara,7.53,2019,agriculture +Mata Atlântica,BAHIA,Taperoá,5.18,2019,agriculture +Mata Atlântica,BAHIA,Jaguaripe,0.85,2019,agriculture +Cerrado,BAHIA,Canápolis,2.08,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,83.28,2020,agriculture +Caatinga,BAHIA,Malhada,28.62,2020,agriculture +Cerrado,BAHIA,São Desidério,462.88,2020,agriculture +Cerrado,BAHIA,Correntina,5.99,2020,agriculture +Caatinga,BAHIA,Novo Triunfo,35.74,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,0.57,2020,agriculture +Mata Atlântica,BAHIA,Laje,0.92,2020,agriculture +Mata Atlântica,BAHIA,Camamu,1.68,2020,agriculture +Mata Atlântica,BAHIA,Valença,1.85,2020,agriculture +Mata Atlântica,BAHIA,Buerarema,3.73,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,2.38,2020,agriculture +Mata Atlântica,BAHIA,Cravolândia,1.57,2020,agriculture +Mata Atlântica,BAHIA,Manoel Vitorino,2.43,2020,agriculture +Mata Atlântica,BAHIA,Caatiba,13.82,2020,agriculture +Caatinga,BAHIA,Piritiba,3.92,2020,agriculture +Caatinga,BAHIA,Bonito,18.22,2020,agriculture +Caatinga,BAHIA,Sento Sé,3.35,2020,agriculture +Caatinga,BAHIA,Canudos,11.44,2020,agriculture +Cerrado,BAHIA,Catolândia,14.52,2020,agriculture +Cerrado,BAHIA,Catolândia,5.47,2020,agriculture +Cerrado,BAHIA,Baianópolis,11.6,2020,agriculture +Caatinga,BAHIA,Mucugê,229.91,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,7.91,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,28.86,2020,agriculture +Caatinga,BAHIA,Ribeira do Pombal,25.77,2020,agriculture +Caatinga,BAHIA,Araci,6.43,2020,agriculture +Caatinga,BAHIA,Itapicuru,84.55,2020,agriculture +Caatinga,BAHIA,Itaberaba,126.84,2020,agriculture +Cerrado,BAHIA,Coribe,1.68,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.76,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.23,2020,agriculture +Cerrado,BAHIA,Cristópolis,0.33,2020,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.98,2020,agriculture +Cerrado,BAHIA,Barreiras,55.76,2020,agriculture +Cerrado,BAHIA,Barreiras,379.49,2020,agriculture +Caatinga,BAHIA,Mansidão,14.96,2020,agriculture +Caatinga,BAHIA,Mansidão,3.28,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,11.08,2020,agriculture +Caatinga,BAHIA,Correntina,1.92,2020,agriculture +Caatinga,BAHIA,Anagé,7.23,2020,agriculture +Caatinga,BAHIA,Casa Nova,57.95,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.64,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.71,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.45,2020,agriculture +Cerrado,BAHIA,Caetité,6.6,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,21.16,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,9.65,2020,agriculture +Caatinga,BAHIA,Aracatu,4.97,2020,agriculture +Caatinga,BAHIA,Iramaia,22.82,2020,agriculture +Mata Atlântica,BAHIA,Camacan,14.25,2020,agriculture +Cerrado,BAHIA,Cocos,8.93,2020,agriculture +Caatinga,BAHIA,Caturama,21.47,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,3.56,2020,agriculture +Caatinga,BAHIA,Mucugê,41.5,2020,agriculture +Caatinga,BAHIA,Jussiape,4.38,2020,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,37.91,2020,agriculture +Caatinga,BAHIA,Brumado,23.97,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,4.51,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,1.49,2020,others +Caatinga,BAHIA,Morpará,19.57,2020,agriculture +Caatinga,BAHIA,Brejolândia,2.35,2020,agriculture +Cerrado,BAHIA,Correntina,3.67,2020,agriculture +Mata Atlântica,BAHIA,Iguaí,5.51,2020,agriculture +Caatinga,BAHIA,Ibotirama,11.55,2020,agriculture +Caatinga,BAHIA,Santana,47.29,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,20.93,2020,agriculture +Caatinga,BAHIA,Mortugaba,5.33,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.27,2020,agriculture 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+Caatinga,BAHIA,Rio do Pires,2.62,2021,agriculture +Caatinga,BAHIA,América Dourada,7.83,2021,agriculture +Cerrado,BAHIA,Barreiras,1.83,2021,urban_expansion +Caatinga,BAHIA,Canudos,1.0,2021,agriculture +Caatinga,BAHIA,Dom Basílio,3.78,2021,agriculture +Caatinga,BAHIA,Rio de Contas,11.68,2021,agriculture +Caatinga,BAHIA,Juazeiro,391.56,2021,agriculture +Caatinga,BAHIA,Casa Nova,18.43,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,76.56,2021,agriculture +Mata Atlântica,BAHIA,Tremedal,4.65,2021,agriculture +Cerrado,BAHIA,Riacho de Santana,4.12,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,123.23,2021,agriculture +Cerrado,BAHIA,Baianópolis,24.23,2021,agriculture +Cerrado,BAHIA,Cocos,4.31,2021,agriculture +Caatinga,BAHIA,Anagé,0.7,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,15.23,2021,agriculture +Caatinga,BAHIA,Curaçá,1.78,2021,agriculture +Caatinga,BAHIA,Canudos,22.04,2021,others +Mata Atlântica,BAHIA,Taperoá,2.2,2021,agriculture +Mata Atlântica,BAHIA,Buerarema,13.43,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,7.91,2021,agriculture +Caatinga,BAHIA,Brejolândia,3.91,2021,agriculture +Caatinga,BAHIA,Barra,1.19,2020,others +Cerrado,BAHIA,Cotegipe,1.61,2020,agriculture +Caatinga,BAHIA,Wanderley,3.12,2020,others +Cerrado,BAHIA,Barreiras,5.28,2020,agriculture +Cerrado,BAHIA,São Desidério,2.08,2020,agriculture +Caatinga,BAHIA,Wanderley,3.21,2020,agriculture +Cerrado,BAHIA,Mansidão,1.59,2020,agriculture +Cerrado,BAHIA,Serra Dourada,3.29,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.25,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.35,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,2.03,2020,agriculture +Cerrado,BAHIA,Canápolis,3.3,2020,agriculture +Cerrado,BAHIA,Baianópolis,16.95,2020,agriculture +Cerrado,BAHIA,São Desidério,1.19,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,3.27,2020,agriculture +Cerrado,BAHIA,São Desidério,5.98,2020,agriculture +Caatinga,BAHIA,Santana,3.81,2020,others +Caatinga,BAHIA,Santana,12.86,2020,others +Caatinga,BAHIA,Barra,0.91,2020,others +Cerrado,BAHIA,Tabocas do Brejo Velho,1.55,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,3.98,2020,agriculture +Cerrado,BAHIA,Cristópolis,8.67,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,3.27,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,3.4,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,2.41,2020,agriculture +Cerrado,BAHIA,Baianópolis,1.0,2020,agriculture +Cerrado,BAHIA,Baianópolis,6.9,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.94,2020,agriculture +Caatinga,BAHIA,Brejolândia,1.89,2020,agriculture +Caatinga,BAHIA,Brejolândia,1.31,2020,agriculture +Caatinga,BAHIA,Buritirama,2.62,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,1.21,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.93,2020,agriculture +Caatinga,BAHIA,Mansidão,2.52,2020,others +Caatinga,BAHIA,Buritirama,1.44,2020,others +Caatinga,BAHIA,Buritirama,4.63,2020,agriculture +Caatinga,BAHIA,Pilão Arcado,1.04,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,5.1,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.11,2020,others +Cerrado,BAHIA,Barreiras,2.47,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.08,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.97,2020,others +Caatinga,BAHIA,Cocos,1.61,2020,others +Caatinga,BAHIA,Cocos,0.61,2020,others +Caatinga,BAHIA,Feira da Mata,3.68,2020,agriculture +Caatinga,BAHIA,Malhada,17.24,2020,agriculture +Caatinga,BAHIA,Carinhanha,8.41,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.71,2021,others +Caatinga,BAHIA,Xique-Xique,4.27,2021,agriculture +Caatinga,BAHIA,Candiba,2.21,2021,agriculture +Caatinga,BAHIA,Jaguarari,3.67,2021,agriculture +Caatinga,BAHIA,Urandi,4.64,2021,others +Caatinga,BAHIA,Paramirim,0.99,2021,others +Cerrado,BAHIA,Barreiras,77.2,2021,others +Caatinga,BAHIA,Macaúbas,12.26,2021,agriculture +Caatinga,BAHIA,Macaúbas,2.39,2021,others +Caatinga,BAHIA,Novo Horizonte,3.97,2021,others +Caatinga,BAHIA,Aracatu,58.58,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,256.61,2021,others +Mata Atlântica,BAHIA,Jandaíra,1.38,2021,agriculture +Caatinga,BAHIA,Santa Brígida,6.18,2021,agriculture +Caatinga,BAHIA,Anagé,2.15,2021,agriculture +Cerrado,BAHIA,Baianópolis,1253.39,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,2.58,2021,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,2.29,2021,agriculture +Cerrado,BAHIA,Barreiras,2.71,2021,agriculture +Cerrado,BAHIA,Cristópolis,10.47,2021,agriculture +Caatinga,BAHIA,Cícero Dantas,8.23,2021,others +Caatinga,BAHIA,Bom Jesus da Lapa,6.1,2021,agriculture +Cerrado,BAHIA,São Desidério,10.54,2021,agriculture +Caatinga,BAHIA,Jeremoabo,73.35,2021,others +Caatinga,BAHIA,Pedro Alexandre,16.36,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,18.49,2021,others +Caatinga,BAHIA,Aracatu,3.62,2021,agriculture +Caatinga,BAHIA,Aracatu,11.09,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,11.25,2021,agriculture +Mata Atlântica,BAHIA,Iguaí,6.34,2021,agriculture +Mata Atlântica,BAHIA,Planalto,12.19,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,3.24,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,26.62,2021,others +Caatinga,BAHIA,Mundo Novo,4.38,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.21,2021,agriculture +Caatinga,BAHIA,Carinhanha,24.48,2021,agriculture +Caatinga,BAHIA,Tanque Novo,15.93,2021,agriculture +Caatinga,BAHIA,Monte Santo,32.34,2021,others +Caatinga,BAHIA,Santana,3.13,2021,agriculture +Caatinga,BAHIA,Xique-Xique,3.07,2021,agriculture +Mata Atlântica,BAHIA,Itagimirim,1.61,2021,agriculture +Caatinga,BAHIA,Uibaí,13.32,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,12.97,2021,agriculture +Caatinga,BAHIA,Buritirama,11.16,2021,agriculture +Caatinga,BAHIA,Ibipitanga,3.12,2021,agriculture +Mata Atlântica,BAHIA,Cachoeira,10.09,2021,agriculture +Caatinga,BAHIA,Rio do Pires,11.97,2021,others +Cerrado,BAHIA,Cristópolis,9.71,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,8.47,2021,agriculture +Caatinga,BAHIA,Iramaia,16.16,2021,others +Mata Atlântica,BAHIA,Lafaiete Coutinho,3.11,2021,agriculture +Caatinga,BAHIA,Buritirama,0.93,2021,agriculture +Caatinga,BAHIA,Sento Sé,1.45,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.95,2021,agriculture +Caatinga,BAHIA,Juazeiro,3.92,2021,agriculture +Caatinga,BAHIA,Antas,30.62,2021,others +Caatinga,BAHIA,Senhor do Bonfim,1.81,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,42.33,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,7.7,2021,others +Caatinga,BAHIA,Paratinga,2.74,2021,agriculture +Caatinga,BAHIA,Malhada,10.69,2021,agriculture +Caatinga,BAHIA,Santana,2.33,2021,others +Cerrado,BAHIA,Tabocas do Brejo Velho,8.17,2021,agriculture +Cerrado,BAHIA,Cotegipe,13.01,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,4.25,2021,others +Caatinga,BAHIA,Malhada,7.64,2021,others +Caatinga,BAHIA,Bom Jesus da Lapa,4.82,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,14.95,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,13.99,2021,others +Cerrado,BAHIA,Caetité,2.29,2021,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,18.14,2021,others +Caatinga,BAHIA,Malhada de Pedras,1.7,2021,agriculture +Caatinga,BAHIA,Guajeru,3.11,2021,agriculture +Caatinga,BAHIA,Casa Nova,2.4,2021,others +Caatinga,BAHIA,Casa Nova,8.33,2021,agriculture +Caatinga,BAHIA,Campo Formoso,15.46,2021,agriculture +Caatinga,BAHIA,Juazeiro,1.57,2021,others +Caatinga,BAHIA,Monte Santo,3.99,2021,others +Caatinga,BAHIA,Wanderley,39.42,2021,others +Cerrado,BAHIA,Cotegipe,15.74,2021,agriculture +Caatinga,BAHIA,Irará,43.37,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,15.07,2021,agriculture +Cerrado,BAHIA,São Desidério,323.11,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,12.31,2021,agriculture +Cerrado,BAHIA,São Desidério,21.85,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,29.34,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,32.84,2021,agriculture +Caatinga,BAHIA,Serrinha,1.44,2021,agriculture +Caatinga,BAHIA,Piatã,12.4,2021,agriculture +Caatinga,BAHIA,Igaporã,5.6,2021,agriculture +Caatinga,BAHIA,Piatã,0.7,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,3.39,2022,agriculture +Mata Atlântica,BAHIA,Iguaí,6.75,2022,agriculture +Mata Atlântica,BAHIA,Nova Viçosa,2.19,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,5.21,2022,agriculture +Mata Atlântica,BAHIA,Gandu,6.74,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,15.46,2022,agriculture +Mata Atlântica,BAHIA,Firmino Alves,1.97,2022,agriculture +Cerrado,BAHIA,São Desidério,103.59,2022,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,979.88,2022,agriculture +Cerrado,BAHIA,Jaborandi,869.73,2022,agriculture +Caatinga,BAHIA,Guanambi,4.0,2022,agriculture +Caatinga,BAHIA,Casa Nova,8.26,2022,agriculture +Cerrado,BAHIA,São Desidério,153.3,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,1.69,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,5.19,2022,agriculture +Caatinga,BAHIA,Brejolândia,4.42,2022,agriculture +Cerrado,BAHIA,Correntina,735.63,2022,agriculture +Cerrado,BAHIA,Cristópolis,25.97,2022,agriculture +Cerrado,BAHIA,Barreiras,30.58,2022,agriculture +Mata Atlântica,BAHIA,Rio Real,45.21,2022,agriculture +Mata Atlântica,BAHIA,Itabela,6.53,2022,agriculture +Mata Atlântica,BAHIA,Itabela,1.11,2022,agriculture +Mata Atlântica,BAHIA,Prado,1.36,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,0.54,2022,agriculture +Mata Atlântica,BAHIA,Teodoro Sampaio,22.95,2022,agriculture +Cerrado,BAHIA,Jaborandi,17.06,2022,agriculture +Caatinga,BAHIA,Matina,2.68,2022,others +Cerrado,BAHIA,Igaporã,0.57,2022,agriculture +Caatinga,BAHIA,Guanambi,1.52,2022,others +Caatinga,BAHIA,Antônio Gonçalves,7.02,2022,others +Caatinga,BAHIA,Rio de Contas,2.75,2022,others +Caatinga,BAHIA,Matina,1.47,2022,agriculture +Caatinga,BAHIA,Igaporã,1.82,2022,others +Caatinga,BAHIA,Buritirama,3.0,2022,agriculture +Caatinga,BAHIA,Piatã,1.2,2022,agriculture +Cerrado,BAHIA,Caetité,0.28,2022,agriculture +Cerrado,BAHIA,Igaporã,2.45,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.88,2022,others +Caatinga,BAHIA,Campo Formoso,5.54,2022,others +Caatinga,BAHIA,Macaúbas,1.29,2022,agriculture +Caatinga,BAHIA,Paratinga,2.03,2022,others +Caatinga,BAHIA,Riacho de Santana,13.89,2022,agriculture +Caatinga,BAHIA,Guanambi,4.63,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.4,2022,others +Caatinga,BAHIA,Matina,1.04,2022,others +Caatinga,BAHIA,Itapicuru,100.74,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,2.68,2022,agriculture +Caatinga,BAHIA,Igaporã,2.29,2022,others +Caatinga,BAHIA,Itapicuru,5.29,2022,others +Mata Atlântica,BAHIA,Araçás,0.4,2022,agriculture +Mata Atlântica,BAHIA,Sapeaçu,0.24,2022,urban_expansion +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.43,2022,agriculture +Mata Atlântica,BAHIA,Água Fria,0.81,2022,agriculture +Mata Atlântica,BAHIA,São Sebastião do Passé,0.94,2022,agriculture +Mata Atlântica,BAHIA,Água Fria,37.51,2022,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,3.64,2022,urban_expansion +Mata Atlântica,BAHIA,Itamaraju,0.59,2022,agriculture +Mata Atlântica,BAHIA,Maraú,0.49,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.36,2022,agriculture +Mata Atlântica,BAHIA,Esplanada,0.37,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.31,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,2.86,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,3.17,2022,agriculture +Caatinga,BAHIA,Rio de Contas,24.57,2022,agriculture +Cerrado,BAHIA,Cristópolis,7.96,2022,agriculture +Caatinga,BAHIA,Morro do Chapéu,17.52,2022,others +Caatinga,BAHIA,Ibipitanga,11.54,2022,agriculture +Cerrado,BAHIA,Caetité,2.95,2022,agriculture +Cerrado,BAHIA,São Desidério,1606.64,2022,agriculture +Cerrado,BAHIA,Baianópolis,12.44,2022,agriculture +Caatinga,BAHIA,Aracatu,0.38,2022,others +Caatinga,BAHIA,Brejolândia,19.46,2022,others +Caatinga,BAHIA,Paratinga,7.05,2022,others +Mata Atlântica,BAHIA,Irará,3.33,2022,agriculture +Caatinga,BAHIA,Ibotirama,0.86,2022,others +Caatinga,BAHIA,Ibotirama,1.37,2022,others +Caatinga,BAHIA,Santana,22.87,2022,agriculture +Cerrado,BAHIA,Barreiras,10.6,2022,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,2.36,2022,others +Caatinga,BAHIA,Biritinga,10.67,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,2.39,2022,agriculture +Cerrado,BAHIA,São Desidério,6.09,2022,agriculture +Caatinga,BAHIA,Juazeiro,3.04,2022,others +Caatinga,BAHIA,Barra,6.35,2022,others +Caatinga,BAHIA,Cícero Dantas,7.56,2022,others +Caatinga,BAHIA,Campo Formoso,2.06,2022,others +Cerrado,BAHIA,Catolândia,3.97,2022,agriculture +Caatinga,BAHIA,Campo Formoso,2.71,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.83,2022,others +Cerrado,BAHIA,Brejolândia,92.39,2022,agriculture +Cerrado,BAHIA,Cocos,127.25,2022,agriculture +Caatinga,BAHIA,Campo Formoso,0.73,2022,others +Caatinga,BAHIA,Campo Formoso,7.44,2022,others +Caatinga,BAHIA,Barra,0.81,2022,others +Caatinga,BAHIA,Jaborandi,2.62,2022,others +Caatinga,BAHIA,Barra,2.23,2022,others +Caatinga,BAHIA,Serra do Ramalho,1.95,2022,others +Cerrado,BAHIA,Tanque Novo,0.83,2022,agriculture +Caatinga,BAHIA,Buritirama,0.37,2022,others +Caatinga,BAHIA,Paratinga,3.57,2022,others +Caatinga,BAHIA,Buritirama,2.18,2022,others +Caatinga,BAHIA,Sítio do Mato,56.05,2022,others +Mata Atlântica,BAHIA,Ilhéus,4.59,2022,others +Mata Atlântica,BAHIA,Piraí do Norte,1.73,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,1.3,2022,agriculture +Mata Atlântica,BAHIA,Una,0.69,2022,agriculture +Mata Atlântica,BAHIA,Ibirapuã,6.56,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,7.22,2022,agriculture +Mata Atlântica,BAHIA,Jaguaripe,0.7,2019,agriculture +Cerrado,BAHIA,Jaborandi,645.02,2019,agriculture +Cerrado,BAHIA,Baianópolis,22.99,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,3.86,2019,agriculture +Caatinga,BAHIA,Angical,9.12,2019,agriculture +Cerrado,BAHIA,Correntina,11.95,2019,agriculture +Mata Atlântica,BAHIA,Itamaraju,8.74,2019,agriculture +Mata Atlântica,BAHIA,Ilhéus,2.09,2019,agriculture +Mata Atlântica,BAHIA,Itagibá,7.65,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,8.11,2019,agriculture +Caatinga,BAHIA,Carinhanha,0.26,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,18.39,2019,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,0.42,2019,agriculture +Mata Atlântica,BAHIA,Inhambupe,13.27,2019,agriculture +Caatinga,BAHIA,Jacobina,4.27,2019,agriculture +Caatinga,BAHIA,Iaçu,27.15,2019,agriculture +Cerrado,BAHIA,Barreiras,8.66,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,409.9,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,15.82,2019,agriculture +Cerrado,BAHIA,Barreiras,0.34,2019,agriculture +Cerrado,BAHIA,Cotegipe,55.24,2019,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,8.37,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,330.45,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,197.54,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,13.05,2019,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,7.93,2019,agriculture +Caatinga,BAHIA,Iuiu,96.14,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.14,2019,agriculture +Caatinga,BAHIA,Wanderley,4.02,2019,agriculture +Caatinga,BAHIA,Barra,26.94,2019,agriculture +Caatinga,BAHIA,Wanderley,21.97,2019,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,13.57,2019,agriculture +Mata Atlântica,BAHIA,Itajuípe,14.76,2019,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,9.56,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,7.09,2019,agriculture +Mata Atlântica,BAHIA,Itambé,5.39,2019,agriculture +Mata Atlântica,BAHIA,Camaçari,1.75,2019,agriculture +Mata Atlântica,BAHIA,Entre Rios,7.9,2019,agriculture +Mata Atlântica,BAHIA,Una,4.21,2019,agriculture +Mata Atlântica,BAHIA,Santa Luzia,11.45,2019,agriculture +Mata Atlântica,BAHIA,Camaçari,0.99,2019,urban_expansion +Mata Atlântica,BAHIA,Valença,4.82,2019,agriculture +Mata Atlântica,BAHIA,Santa Luzia,2.21,2019,agriculture +Mata Atlântica,BAHIA,Uruçuca,2.06,2019,agriculture +Mata Atlântica,BAHIA,Taperoá,2.46,2019,agriculture +Caatinga,BAHIA,Wanderley,41.91,2020,agriculture +Cerrado,BAHIA,Correntina,113.3,2020,agriculture +Cerrado,BAHIA,Correntina,25.66,2020,agriculture +Caatinga,BAHIA,Carinhanha,25.02,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,21.89,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,109.8,2020,agriculture +Mata Atlântica,BAHIA,Itanagra,0.87,2020,agriculture +Mata Atlântica,BAHIA,Camamu,2.19,2020,agriculture +Mata Atlântica,BAHIA,Ubaitaba,3.67,2020,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,1.19,2020,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,5.23,2020,agriculture +Mata Atlântica,BAHIA,Mascote,6.75,2020,agriculture +Mata Atlântica,BAHIA,Itagibá,0.67,2020,agriculture +Caatinga,BAHIA,Jequié,4.56,2020,agriculture +Caatinga,BAHIA,Miguel Calmon,1.73,2020,agriculture +Mata Atlântica,BAHIA,Barra do Choça,10.57,2020,agriculture +Caatinga,BAHIA,Piripá,35.49,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,1.17,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,5.66,2020,agriculture +Caatinga,BAHIA,Canudos,22.48,2020,agriculture +Cerrado,BAHIA,Catolândia,17.75,2020,agriculture +Cerrado,BAHIA,Baianópolis,42.0,2020,agriculture +Caatinga,BAHIA,Brumado,5.56,2020,agriculture +Cerrado,BAHIA,Cristópolis,17.39,2020,agriculture +Caatinga,BAHIA,Itaberaba,17.67,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,3.36,2020,agriculture +Caatinga,BAHIA,Condeúba,16.33,2020,agriculture +Caatinga,BAHIA,Cotegipe,76.55,2020,agriculture +Caatinga,BAHIA,Carinhanha,5.95,2020,agriculture +Caatinga,BAHIA,Angical,13.97,2020,agriculture +Caatinga,BAHIA,Carinhanha,8.42,2020,agriculture +Caatinga,BAHIA,Cotegipe,5.43,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,22.08,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,4.37,2020,agriculture +Mata Atlântica,BAHIA,Coração de Maria,4.34,2020,agriculture +Cerrado,BAHIA,São Desidério,5.07,2020,agriculture +Caatinga,BAHIA,Mucugê,24.69,2020,agriculture +Cerrado,BAHIA,São Desidério,298.01,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,2.04,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.9,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,6.28,2020,agriculture +Cerrado,BAHIA,Cocos,6.05,2020,agriculture +Caatinga,BAHIA,Brejolândia,4.99,2020,agriculture +Caatinga,BAHIA,Brejolândia,2.18,2020,agriculture +Caatinga,BAHIA,Quijingue,8.24,2020,agriculture +Caatinga,BAHIA,Buritirama,5.32,2020,agriculture +Caatinga,BAHIA,Xique-Xique,29.37,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,36.08,2020,agriculture +Mata Atlântica,BAHIA,Una,2.17,2020,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,1.72,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,6.3,2020,agriculture +Cerrado,BAHIA,Cristópolis,5.0,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,7.88,2020,agriculture +Cerrado,BAHIA,Barreiras,34.18,2020,agriculture +Caatinga,BAHIA,Nova Soure,35.19,2020,agriculture +Caatinga,BAHIA,Urandi,3.34,2020,agriculture +Mata Atlântica,BAHIA,Tremedal,9.96,2020,agriculture +Caatinga,BAHIA,Iaçu,5.44,2020,agriculture +Caatinga,BAHIA,Conceição do Coité,2.99,2020,agriculture +Caatinga,BAHIA,Ibotirama,29.32,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,3.3,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,4.35,2020,agriculture +Caatinga,BAHIA,Caculé,0.52,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,9.82,2020,agriculture +Mata Atlântica,BAHIA,Itabuna,1.93,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.34,2020,agriculture +Cerrado,BAHIA,Baianópolis,4.35,2020,agriculture +Mata Atlântica,BAHIA,Iguaí,35.42,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,2.6,2020,agriculture +Mata Atlântica,BAHIA,Itororó,19.28,2020,agriculture +Mata Atlântica,BAHIA,Caatiba,1.51,2020,agriculture +Mata Atlântica,BAHIA,Camamu,0.67,2020,agriculture +Caatinga,BAHIA,Caetité,4.34,2020,agriculture +Caatinga,BAHIA,Brejolândia,10.09,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,5.93,2020,agriculture +Mata Atlântica,BAHIA,Itororó,3.67,2020,agriculture +Mata Atlântica,BAHIA,Planalto,18.49,2020,agriculture +Caatinga,BAHIA,Wanderley,1.63,2020,agriculture +Cerrado,BAHIA,Baianópolis,13.17,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,5.47,2020,agriculture +Caatinga,BAHIA,Ituaçu,9.93,2020,agriculture +Caatinga,BAHIA,Santana,10.45,2020,agriculture +Caatinga,BAHIA,Angical,5.72,2020,agriculture +Caatinga,BAHIA,Wanderley,61.13,2020,agriculture +Mata Atlântica,BAHIA,Una,6.15,2020,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,3.11,2020,agriculture +Caatinga,BAHIA,Jacaraci,4.4,2020,agriculture +Caatinga,BAHIA,Jaborandi,5.04,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.62,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.74,2020,agriculture +Caatinga,BAHIA,Malhada de Pedras,0.6,2020,agriculture +Caatinga,BAHIA,Brumado,13.96,2020,agriculture +Caatinga,BAHIA,Iaçu,68.41,2020,agriculture +Cerrado,BAHIA,Urandi,13.86,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.26,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,4.73,2020,agriculture +Caatinga,BAHIA,Nova Soure,4.04,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.67,2020,agriculture +Caatinga,BAHIA,Mundo Novo,9.93,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,7.9,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,2.05,2020,agriculture +Caatinga,BAHIA,Wanderley,36.43,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,2.79,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,11.64,2021,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,1.39,2021,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,1.23,2021,agriculture +Mata Atlântica,BAHIA,Planalto,16.29,2021,agriculture +Caatinga,BAHIA,Itaguaçu da Bahia,102.81,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,8.08,2021,agriculture +Caatinga,BAHIA,Matina,4.22,2021,agriculture +Cerrado,BAHIA,Caetité,3.19,2021,agriculture +Caatinga,BAHIA,Paratinga,2.47,2021,agriculture +Cerrado,BAHIA,Correntina,11.69,2021,agriculture +Caatinga,BAHIA,Angical,4.9,2021,agriculture +Mata Atlântica,BAHIA,Ituberá,3.23,2021,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,4.66,2021,agriculture +Mata Atlântica,BAHIA,Itapebi,2.8,2021,agriculture +Mata Atlântica,BAHIA,Itororó,3.61,2021,agriculture +Caatinga,BAHIA,Antônio Gonçalves,12.19,2021,agriculture +Caatinga,BAHIA,Angical,7.1,2021,agriculture +Caatinga,BAHIA,Brumado,1.5,2021,agriculture +Cerrado,BAHIA,Macaúbas,0.8,2021,agriculture +Caatinga,BAHIA,Paratinga,1.67,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,3.18,2021,agriculture +Cerrado,BAHIA,Caetité,0.79,2021,agriculture +Caatinga,BAHIA,Caturama,1.22,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,6.06,2021,agriculture +Cerrado,BAHIA,São Desidério,2.51,2021,agriculture +Caatinga,BAHIA,Seabra,8.57,2021,agriculture +Cerrado,BAHIA,Baianópolis,4.12,2021,agriculture +Caatinga,BAHIA,Condeúba,2.08,2021,agriculture +Caatinga,BAHIA,Rio de Contas,1.11,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.96,2021,agriculture +Caatinga,BAHIA,Barra da Estiva,32.11,2021,urban_expansion +Caatinga,BAHIA,Iramaia,9.29,2021,agriculture +Caatinga,BAHIA,Cotegipe,14.21,2021,agriculture +Caatinga,BAHIA,Sento Sé,50.54,2021,agriculture +Caatinga,BAHIA,Jussiape,1.46,2021,others +Caatinga,BAHIA,Cansanção,19.24,2021,agriculture +Mata Atlântica,BAHIA,Água Fria,1.51,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.12,2021,agriculture +Caatinga,BAHIA,Fátima,6.28,2021,agriculture +Caatinga,BAHIA,Ribeira do Pombal,2.89,2021,agriculture +Caatinga,BAHIA,Seabra,0.94,2021,others +Caatinga,BAHIA,Morro do Chapéu,1.05,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,6.55,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,12.2,2021,agriculture +Mata Atlântica,BAHIA,Caravelas,6.66,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,3.17,2020,others +Cerrado,BAHIA,Luís Eduardo Magalhães,1.46,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,10.1,2020,agriculture +Cerrado,BAHIA,Correntina,12.24,2020,agriculture +Cerrado,BAHIA,Jaborandi,1.27,2020,agriculture +Caatinga,BAHIA,Carinhanha,5.28,2020,agriculture +Cerrado,BAHIA,Barreiras,5.42,2020,agriculture +Cerrado,BAHIA,Barreiras,5.69,2020,agriculture +Cerrado,BAHIA,Barreiras,5.33,2020,agriculture +Caatinga,BAHIA,Angical,3.26,2020,others +Caatinga,BAHIA,Angical,5.43,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,4.63,2020,agriculture +Caatinga,BAHIA,Angical,4.14,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.3,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,12.64,2020,agriculture +Caatinga,BAHIA,Barra,3.42,2020,agriculture +Caatinga,BAHIA,Wanderley,3.96,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,10.96,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,19.53,2020,agriculture +Caatinga,BAHIA,Wanderley,7.09,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.53,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.25,2020,others +Caatinga,BAHIA,Cotegipe,1.87,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.1,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,1.76,2020,agriculture +Cerrado,BAHIA,São Desidério,2.4,2020,agriculture +Cerrado,BAHIA,Catolândia,1.65,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,1.11,2020,agriculture +Cerrado,BAHIA,Jaborandi,6.79,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.71,2020,agriculture +Caatinga,BAHIA,Coribe,9.21,2020,others +Caatinga,BAHIA,Buritirama,2.23,2020,agriculture +Cerrado,BAHIA,Correntina,0.62,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,10.47,2020,agriculture +Caatinga,BAHIA,Buritirama,1.13,2020,others +Caatinga,BAHIA,Mansidão,3.5,2020,others +Caatinga,BAHIA,Mansidão,0.39,2020,others +Caatinga,BAHIA,Buritirama,2.79,2020,others +Caatinga,BAHIA,Mansidão,1.59,2020,agriculture +Caatinga,BAHIA,Ibotirama,7.06,2020,others +Caatinga,BAHIA,Muquém do São Francisco,1.71,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,3.15,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.87,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.04,2020,agriculture +Cerrado,BAHIA,Barreiras,6.02,2020,agriculture +Cerrado,BAHIA,Barreiras,0.45,2020,agriculture +Cerrado,BAHIA,Barreiras,9.65,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.14,2020,agriculture +Caatinga,BAHIA,Cocos,7.39,2020,others +Caatinga,BAHIA,Carinhanha,7.18,2020,others +Caatinga,BAHIA,Carinhanha,2.41,2020,agriculture +Caatinga,BAHIA,Carinhanha,0.82,2020,agriculture +Caatinga,BAHIA,Carinhanha,6.65,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.31,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,1.95,2021,agriculture +Cerrado,BAHIA,Caetité,1.44,2021,others +Caatinga,BAHIA,Serrinha,11.33,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,9.86,2021,agriculture +Caatinga,BAHIA,Jaborandi,9.13,2021,agriculture +Cerrado,BAHIA,Coribe,16.67,2021,agriculture +Cerrado,BAHIA,Brejolândia,62.8,2021,agriculture +Mata Atlântica,BAHIA,Esplanada,2.88,2021,agriculture +Mata Atlântica,BAHIA,Planalto,15.23,2021,agriculture +Caatinga,BAHIA,Miguel Calmon,14.8,2021,agriculture +Caatinga,BAHIA,Casa Nova,16.34,2021,agriculture +Caatinga,BAHIA,Feira da Mata,13.3,2021,agriculture +Caatinga,BAHIA,Casa Nova,8.12,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,5.87,2021,others +Caatinga,BAHIA,Bom Jesus da Lapa,48.26,2021,agriculture +Caatinga,BAHIA,Ribeira do Pombal,0.96,2021,agriculture +Cerrado,BAHIA,Barreiras,114.2,2021,agriculture +Caatinga,BAHIA,Cícero Dantas,1.06,2021,others +Caatinga,BAHIA,Paulo Afonso,7.23,2021,others +Caatinga,BAHIA,Brumado,1.77,2021,agriculture +Caatinga,BAHIA,Tanhaçu,5.66,2021,agriculture +Caatinga,BAHIA,Brumado,2.92,2021,agriculture +Caatinga,BAHIA,Aracatu,1.12,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,16.57,2021,agriculture +Caatinga,BAHIA,Jaborandi,20.93,2021,agriculture +Mata Atlântica,BAHIA,Castro Alves,55.42,2021,agriculture +Mata Atlântica,BAHIA,Itanagra,0.56,2021,agriculture +Caatinga,BAHIA,Serra Dourada,10.48,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,9.45,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,89.06,2021,others +Caatinga,BAHIA,Boa Vista do Tupim,2.92,2021,others +Mata Atlântica,BAHIA,Cândido Sales,5.77,2021,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,9.71,2021,agriculture +Caatinga,BAHIA,Malhada,3.31,2021,others +Cerrado,BAHIA,Mansidão,161.84,2021,agriculture +Caatinga,BAHIA,Sento Sé,1.11,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,5.19,2021,agriculture +Caatinga,BAHIA,Juazeiro,5.02,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,2.48,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.78,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.13,2021,agriculture +Mata Atlântica,BAHIA,Caatiba,48.15,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.36,2021,agriculture +Cerrado,BAHIA,São Desidério,1506.46,2021,agriculture +Caatinga,BAHIA,Sítio do Mato,103.5,2021,others +Mata Atlântica,BAHIA,Jequié,2.69,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,14.57,2021,agriculture +Cerrado,BAHIA,Baianópolis,56.96,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,12.03,2021,agriculture +Caatinga,BAHIA,Angical,17.52,2021,agriculture +Caatinga,BAHIA,Boa Nova,2.91,2021,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,35.98,2021,agriculture +Caatinga,BAHIA,Buritirama,1.66,2021,agriculture +Caatinga,BAHIA,Barra,1.31,2021,agriculture +Caatinga,BAHIA,Angical,5.59,2021,agriculture +Caatinga,BAHIA,Angical,1.42,2021,others +Caatinga,BAHIA,Angical,24.47,2021,others +Caatinga,BAHIA,Xique-Xique,10.36,2021,others +Caatinga,BAHIA,Santa Brígida,45.95,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,12.13,2021,agriculture +Caatinga,BAHIA,Matina,7.01,2021,others +Caatinga,BAHIA,Campo Formoso,4.59,2021,agriculture +Cerrado,BAHIA,Tanque Novo,6.42,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,1.06,2021,others +Caatinga,BAHIA,Urandi,1.55,2021,others +Caatinga,BAHIA,Condeúba,4.34,2021,others +Caatinga,BAHIA,Piatã,3.09,2021,agriculture +Caatinga,BAHIA,Sento Sé,3.88,2021,others +Caatinga,BAHIA,Anagé,1.61,2021,others +Caatinga,BAHIA,Ribeira do Pombal,101.34,2021,others +Caatinga,BAHIA,Sátiro Dias,2.92,2021,agriculture +Caatinga,BAHIA,Sátiro Dias,86.87,2021,others +Caatinga,BAHIA,Canudos,11.35,2021,others +Caatinga,BAHIA,Malhada,34.16,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,50.09,2021,agriculture +Caatinga,BAHIA,Cotegipe,69.02,2021,agriculture +Caatinga,BAHIA,Mundo Novo,2.03,2021,agriculture +Caatinga,BAHIA,Maracás,22.96,2021,agriculture +Caatinga,BAHIA,Ibitiara,0.65,2021,agriculture +Caatinga,BAHIA,Buritirama,22.87,2021,agriculture +Mata Atlântica,BAHIA,Itambé,11.3,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,1.43,2022,agriculture +Mata Atlântica,BAHIA,Itanagra,0.77,2022,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,0.88,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,147.1,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.22,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,1.21,2022,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,8.74,2022,agriculture +Caatinga,BAHIA,Valente,5.79,2022,agriculture +Caatinga,BAHIA,Ibotirama,1.86,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1260.73,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.88,2022,agriculture +Mata Atlântica,BAHIA,Conde,10.15,2022,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,4.67,2022,agriculture +Mata Atlântica,BAHIA,Brejões,8.27,2022,agriculture +Cerrado,BAHIA,Barreiras,503.58,2022,agriculture +Cerrado,BAHIA,São Desidério,84.98,2022,agriculture +Cerrado,BAHIA,Tanque Novo,0.54,2022,agriculture +Caatinga,BAHIA,Matina,0.29,2022,others +Caatinga,BAHIA,Boquira,7.85,2022,others +Cerrado,BAHIA,Igaporã,0.37,2022,agriculture +Caatinga,BAHIA,Adustina,9.48,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,1.22,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.41,2022,agriculture +Caatinga,BAHIA,Maracás,54.85,2022,others +Caatinga,BAHIA,Uauá,3.9,2022,agriculture +Caatinga,BAHIA,Igaporã,2.12,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,2.43,2022,others +Caatinga,BAHIA,Piatã,2.52,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,5.82,2022,agriculture +Cerrado,BAHIA,São Desidério,20.72,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.08,2022,urban_expansion +Mata Atlântica,BAHIA,Valença,0.72,2022,agriculture +Mata Atlântica,BAHIA,Nova Canaã,4.75,2022,agriculture +Mata Atlântica,BAHIA,Itagibá,9.24,2022,agriculture +Mata Atlântica,BAHIA,Aratuípe,0.6,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,0.46,2022,agriculture +Mata Atlântica,BAHIA,Valença,0.56,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,7.01,2022,urban_expansion +Caatinga,BAHIA,Wanderley,8.29,2022,agriculture +Cerrado,BAHIA,Baianópolis,5.64,2022,agriculture +Caatinga,BAHIA,Caturama,23.69,2022,others +Caatinga,BAHIA,Jeremoabo,3.84,2022,others +Cerrado,BAHIA,Baianópolis,18.65,2022,agriculture +Caatinga,BAHIA,Morpará,19.05,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,42.35,2022,agriculture +Caatinga,BAHIA,Barra,25.38,2022,agriculture +Caatinga,BAHIA,Cícero Dantas,5.58,2022,others +Cerrado,BAHIA,Caetité,5.78,2022,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,4.86,2022,agriculture +Caatinga,BAHIA,Valente,5.53,2022,agriculture +Cerrado,BAHIA,São Desidério,19.17,2022,agriculture +Caatinga,BAHIA,Barra,4.29,2022,others +Caatinga,BAHIA,Coribe,16.6,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,43.56,2022,others +Caatinga,BAHIA,Monte Santo,7.29,2022,others +Caatinga,BAHIA,Cícero Dantas,20.81,2022,others +Caatinga,BAHIA,Jeremoabo,1.22,2022,others +Caatinga,BAHIA,Muquém do São Francisco,23.19,2022,others +Cerrado,BAHIA,Luís Eduardo Magalhães,729.73,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,98.87,2022,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,12.95,2022,agriculture +Caatinga,BAHIA,Buritirama,1.51,2022,others +Caatinga,BAHIA,Santa Brígida,2.49,2022,others +Caatinga,BAHIA,Macaúbas,1.68,2022,others +Caatinga,BAHIA,Pilão Arcado,2.14,2022,others +Caatinga,BAHIA,Buritirama,0.8,2022,others +Caatinga,BAHIA,Jeremoabo,4.59,2022,others +Caatinga,BAHIA,Riacho de Santana,36.44,2022,others +Caatinga,BAHIA,Umburanas,0.6,2022,others +Caatinga,BAHIA,Marcionílio Souza,11.81,2022,others +Caatinga,BAHIA,Marcionílio Souza,12.06,2022,others +Caatinga,BAHIA,Feira da Mata,1.63,2022,others +Mata Atlântica,BAHIA,Taperoá,0.77,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.89,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,0.92,2022,agriculture +Mata Atlântica,BAHIA,Nova Viçosa,7.02,2019,agriculture +Cerrado,BAHIA,Barreiras,553.66,2019,agriculture +Caatinga,BAHIA,Santana,2.97,2019,agriculture +Cerrado,BAHIA,Barreiras,57.0,2019,agriculture +Caatinga,BAHIA,Buritirama,22.35,2019,agriculture +Caatinga,BAHIA,Sítio do Mato,22.41,2019,agriculture +Caatinga,BAHIA,Jaborandi,31.69,2019,agriculture +Cerrado,BAHIA,Cocos,4.1,2019,agriculture +Caatinga,BAHIA,Santana,17.74,2019,agriculture +Caatinga,BAHIA,Santana,16.72,2019,agriculture +Caatinga,BAHIA,Iuiu,5.37,2019,agriculture +Mata Atlântica,BAHIA,Santa Luzia,27.08,2019,agriculture +Mata Atlântica,BAHIA,Tremedal,8.24,2019,agriculture +Caatinga,BAHIA,Cotegipe,4.63,2019,agriculture +Mata Atlântica,BAHIA,Itapé,33.01,2019,agriculture +Mata Atlântica,BAHIA,Santa Luzia,3.39,2019,agriculture +Caatinga,BAHIA,Condeúba,7.98,2019,agriculture +Caatinga,BAHIA,Tapiramutá,2.31,2019,agriculture +Caatinga,BAHIA,Antônio Gonçalves,3.79,2019,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,20.05,2019,agriculture +Cerrado,BAHIA,Baianópolis,17.09,2019,agriculture +Caatinga,BAHIA,Santana,25.86,2019,agriculture +Cerrado,BAHIA,São Desidério,1.84,2019,agriculture +Caatinga,BAHIA,Serra do Ramalho,7.97,2019,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,4.25,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,174.75,2019,agriculture +Caatinga,BAHIA,São Félix do Coribe,16.94,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,0.99,2019,agriculture +Mata Atlântica,BAHIA,Iguaí,2.58,2019,agriculture +Mata Atlântica,BAHIA,Alcobaça,2.08,2019,agriculture +Mata Atlântica,BAHIA,Ubaíra,7.0,2019,agriculture +Mata Atlântica,BAHIA,Igrapiúna,1.41,2019,agriculture +Mata Atlântica,BAHIA,Camacan,3.76,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,68.99,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,18.02,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,7.72,2020,agriculture +Mata Atlântica,BAHIA,Simões Filho,50.65,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,4.95,2020,agriculture +Mata Atlântica,BAHIA,Una,9.04,2020,agriculture +Mata Atlântica,BAHIA,Una,1.18,2020,agriculture +Mata Atlântica,BAHIA,Valença,2.66,2020,agriculture +Mata Atlântica,BAHIA,Taperoá,1.02,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.65,2020,agriculture +Mata Atlântica,BAHIA,Ibicaraí,7.27,2020,agriculture +Mata Atlântica,BAHIA,Itabela,1.17,2020,agriculture +Mata Atlântica,BAHIA,Guaratinga,2.48,2020,agriculture +Mata Atlântica,BAHIA,Planalto,1.35,2020,agriculture +Caatinga,BAHIA,Antônio Gonçalves,0.64,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,141.83,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,11.84,2020,agriculture +Caatinga,BAHIA,Lençóis,1.25,2020,agriculture +Caatinga,BAHIA,Ibicoara,2.19,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,18.89,2020,agriculture +Caatinga,BAHIA,Canudos,0.43,2020,agriculture +Caatinga,BAHIA,Mucugê,2.19,2020,agriculture +Caatinga,BAHIA,Nova Soure,120.3,2020,agriculture +Caatinga,BAHIA,Rio do Antônio,7.78,2020,agriculture +Cerrado,BAHIA,Mansidão,4.39,2020,agriculture +Caatinga,BAHIA,Tucano,436.45,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,45.69,2020,agriculture +Caatinga,BAHIA,Itapicuru,44.83,2020,agriculture +Cerrado,BAHIA,Coribe,20.25,2020,agriculture +Caatinga,BAHIA,Mucugê,610.42,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,41.82,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.15,2020,agriculture +Cerrado,BAHIA,São Desidério,153.9,2020,agriculture +Caatinga,BAHIA,Brejolândia,6.57,2020,agriculture +Caatinga,BAHIA,Rio do Pires,3.22,2020,agriculture +Mata Atlântica,BAHIA,Valença,6.94,2020,agriculture +Mata Atlântica,BAHIA,Itanagra,12.58,2020,agriculture +Cerrado,BAHIA,Correntina,275.07,2020,agriculture +Caatinga,BAHIA,Santana,27.24,2020,agriculture +Cerrado,BAHIA,Baianópolis,121.15,2020,agriculture +Cerrado,BAHIA,Correntina,1.76,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,21.47,2020,agriculture +Cerrado,BAHIA,Correntina,233.7,2020,agriculture +Cerrado,BAHIA,Cristópolis,25.49,2020,agriculture +Cerrado,BAHIA,Baianópolis,5.95,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,19.02,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,9.73,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.26,2020,agriculture +Cerrado,BAHIA,Caetité,3.46,2020,agriculture 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+Caatinga,BAHIA,Angical,35.27,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.61,2020,agriculture +Caatinga,BAHIA,Itaguaçu da Bahia,26.42,2020,agriculture +Caatinga,BAHIA,Brumado,22.01,2020,agriculture +Caatinga,BAHIA,Boninal,3.12,2020,agriculture +Cerrado,BAHIA,Barreiras,6.8,2020,agriculture +Mata Atlântica,BAHIA,Jucuruçu,13.09,2020,agriculture +Caatinga,BAHIA,Cotegipe,16.46,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,3.52,2020,agriculture +Cerrado,BAHIA,Jaborandi,299.33,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,30.43,2020,agriculture +Mata Atlântica,BAHIA,Jaguaripe,1.03,2020,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,19.34,2020,agriculture +Caatinga,BAHIA,Ituaçu,14.64,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,15.59,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,18.87,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,14.04,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,11.05,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,13.43,2020,agriculture +Caatinga,BAHIA,Mortugaba,1.28,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,6.46,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,24.56,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,0.83,2020,agriculture +Caatinga,BAHIA,Itaberaba,8.88,2020,agriculture +Caatinga,BAHIA,Angical,4.26,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,16.33,2020,agriculture +Mata Atlântica,BAHIA,Irará,2.05,2020,agriculture +Caatinga,BAHIA,Itapicuru,47.51,2020,agriculture +Caatinga,BAHIA,Ibititá,3.84,2020,agriculture +Caatinga,BAHIA,Carinhanha,55.83,2020,agriculture +Caatinga,BAHIA,Novo Triunfo,1.67,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,4.17,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,4.18,2020,agriculture +Mata Atlântica,BAHIA,Dário Meira,4.19,2020,agriculture +Caatinga,BAHIA,Caetité,3.11,2020,agriculture +Caatinga,BAHIA,Coribe,6.3,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.26,2020,agriculture +Caatinga,BAHIA,Rio do Antônio,2.81,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.79,2020,agriculture +Caatinga,BAHIA,Paramirim,2.04,2020,agriculture +Caatinga,BAHIA,Brumado,4.23,2020,agriculture +Caatinga,BAHIA,Rio do Pires,4.04,2020,agriculture +Caatinga,BAHIA,Casa Nova,20.57,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,2.17,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.55,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,0.65,2020,agriculture +Caatinga,BAHIA,Bonito,32.69,2020,agriculture +Mata Atlântica,BAHIA,Eunápolis,5.53,2021,agriculture +Mata Atlântica,BAHIA,Pojuca,7.36,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.19,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,4.51,2021,agriculture +Mata Atlântica,BAHIA,Pojuca,4.54,2021,agriculture +Caatinga,BAHIA,Canudos,5.82,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,2.19,2021,agriculture +Caatinga,BAHIA,Matina,6.41,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,15.17,2021,agriculture +Caatinga,BAHIA,Barreiras,25.94,2021,agriculture +Caatinga,BAHIA,Carinhanha,12.15,2021,agriculture +Cerrado,BAHIA,Correntina,65.66,2021,agriculture +Caatinga,BAHIA,Santana,13.55,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,20.68,2021,agriculture +Mata Atlântica,BAHIA,Aratuípe,7.42,2021,agriculture +Mata Atlântica,BAHIA,Camamu,5.23,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,627.77,2021,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,1.29,2021,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,7.0,2021,agriculture +Mata Atlântica,BAHIA,Itiruçu,0.78,2021,agriculture +Caatinga,BAHIA,Ibitiara,1.11,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.96,2021,agriculture +Caatinga,BAHIA,Serra Dourada,0.65,2021,agriculture +Cerrado,BAHIA,Caetité,2.17,2021,agriculture +Caatinga,BAHIA,Curaçá,8.08,2021,agriculture +Cerrado,BAHIA,São Desidério,2.8,2021,agriculture +Caatinga,BAHIA,Ibicoara,1.28,2021,agriculture +Cerrado,BAHIA,Catolândia,2.5,2021,agriculture +Cerrado,BAHIA,São Desidério,2.61,2021,agriculture +Caatinga,BAHIA,Anagé,3.28,2021,agriculture +Caatinga,BAHIA,Pedro Alexandre,6.82,2021,agriculture +Cerrado,BAHIA,Baianópolis,0.48,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,3.36,2021,agriculture +Caatinga,BAHIA,Juazeiro,41.91,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,6.34,2021,agriculture +Caatinga,BAHIA,Conceição do Coité,38.33,2021,agriculture +Caatinga,BAHIA,Quijingue,3.26,2021,agriculture +Caatinga,BAHIA,Tucano,10.63,2021,agriculture +Caatinga,BAHIA,Barra da Estiva,3.23,2021,agriculture +Caatinga,BAHIA,Mansidão,8.72,2021,agriculture +Caatinga,BAHIA,Mansidão,1.81,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,3.09,2021,agriculture +Caatinga,BAHIA,Seabra,2.8,2021,agriculture +Cerrado,BAHIA,Correntina,33.34,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.48,2021,others +Caatinga,BAHIA,Sento Sé,3.27,2021,others +Caatinga,BAHIA,Araci,8.29,2021,agriculture +Caatinga,BAHIA,Cocos,12.57,2021,agriculture +Caatinga,BAHIA,Coribe,5.94,2021,agriculture +Caatinga,BAHIA,Malhada,41.22,2021,agriculture +Caatinga,BAHIA,Wanderley,4.17,2021,agriculture +Caatinga,BAHIA,Heliópolis,3.27,2021,agriculture +Caatinga,BAHIA,Várzea da Roça,0.35,2021,others +Mata Atlântica,BAHIA,Vitória da Conquista,14.12,2021,agriculture +Caatinga,BAHIA,Tanhaçu,3.23,2021,agriculture +Caatinga,BAHIA,Santa Terezinha,4.04,2021,agriculture +Mata Atlântica,BAHIA,Prado,2.05,2021,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,6.88,2021,agriculture +Mata Atlântica,BAHIA,Salinas da Margarida,3.38,2021,agriculture +Caatinga,BAHIA,Brejolândia,3.32,2021,agriculture +Caatinga,BAHIA,Wanderley,0.65,2020,agriculture +Caatinga,BAHIA,Cotegipe,38.59,2020,others +Cerrado,BAHIA,Tabocas do Brejo Velho,1.8,2020,agriculture +Caatinga,BAHIA,Barra,0.57,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,3.26,2020,others +Cerrado,BAHIA,Baianópolis,1.65,2020,agriculture +Caatinga,BAHIA,Coribe,2.26,2020,others +Cerrado,BAHIA,São Desidério,4.96,2020,agriculture +Cerrado,BAHIA,São Desidério,3.95,2020,agriculture +Cerrado,BAHIA,São Desidério,2.02,2020,urban_expansion +Caatinga,BAHIA,Buritirama,0.78,2020,others +Cerrado,BAHIA,Cristópolis,3.55,2020,agriculture +Caatinga,BAHIA,Barra,2.84,2020,agriculture +Caatinga,BAHIA,Wanderley,1.69,2020,others +Caatinga,BAHIA,Barra,1.48,2020,others +Caatinga,BAHIA,Muquém do São Francisco,6.65,2020,agriculture +Caatinga,BAHIA,Barra,2.06,2020,others +Caatinga,BAHIA,Palmas de Monte Alto,2.58,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.78,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,2.69,2020,agriculture +Caatinga,BAHIA,Malhada,8.5,2020,agriculture +Caatinga,BAHIA,Malhada,3.25,2020,agriculture +Caatinga,BAHIA,Serra Dourada,2.2,2020,agriculture +Caatinga,BAHIA,Santana,4.58,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,5.51,2020,agriculture +Cerrado,BAHIA,Baianópolis,1.28,2020,agriculture +Caatinga,BAHIA,Serra Dourada,1.43,2020,others +Cerrado,BAHIA,Tabocas do Brejo Velho,1.97,2020,agriculture +Cerrado,BAHIA,Baianópolis,17.64,2020,agriculture +Caatinga,BAHIA,Correntina,1.74,2020,agriculture +Caatinga,BAHIA,Barra,2.33,2020,agriculture +Caatinga,BAHIA,Buritirama,10.37,2020,agriculture +Caatinga,BAHIA,Buritirama,1.91,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,2.1,2020,agriculture +Caatinga,BAHIA,Mansidão,4.95,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,32.5,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.78,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,11.49,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,4.42,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,9.88,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.59,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,10.73,2020,others +Caatinga,BAHIA,Carinhanha,2.14,2020,others +Caatinga,BAHIA,Coribe,4.55,2020,agriculture +Caatinga,BAHIA,Carinhanha,15.98,2020,agriculture +Caatinga,BAHIA,Carinhanha,3.29,2020,agriculture +Caatinga,BAHIA,Coribe,0.84,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,5.49,2021,agriculture +Caatinga,BAHIA,Guanambi,3.46,2021,others +Caatinga,BAHIA,Ponto Novo,3.11,2021,agriculture +Caatinga,BAHIA,Itatim,5.11,2021,others +Caatinga,BAHIA,Santa Brígida,7.22,2021,others +Caatinga,BAHIA,Jeremoabo,7.34,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,3.43,2021,agriculture +Caatinga,BAHIA,Rio de Contas,4.44,2021,others +Caatinga,BAHIA,Ponto Novo,1.18,2021,agriculture +Caatinga,BAHIA,Angical,29.13,2021,agriculture +Mata Atlântica,BAHIA,Itagi,1.57,2021,agriculture +Cerrado,BAHIA,Baianópolis,43.61,2021,agriculture +Mata Atlântica,BAHIA,Una,19.96,2021,agriculture +Caatinga,BAHIA,Buritirama,3.01,2021,agriculture +Caatinga,BAHIA,Irecê,0.39,2021,urban_expansion +Caatinga,BAHIA,Buritirama,1.02,2021,others +Caatinga,BAHIA,Riacho de Santana,7.01,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,11.92,2021,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,1.72,2021,agriculture +Caatinga,BAHIA,Condeúba,5.55,2021,agriculture +Caatinga,BAHIA,Santana,23.02,2021,agriculture +Caatinga,BAHIA,Jaborandi,7.12,2021,agriculture +Cerrado,BAHIA,Barreiras,10.84,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,34.09,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,16.35,2021,agriculture +Cerrado,BAHIA,Barreiras,48.03,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,2.13,2021,agriculture +Caatinga,BAHIA,Botuporã,1.37,2021,others +Cerrado,BAHIA,Igaporã,3.21,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,46.16,2021,others +Caatinga,BAHIA,Tanhaçu,5.91,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,4.21,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,11.44,2021,others +Mata Atlântica,BAHIA,Jandaíra,4.36,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,1.38,2021,agriculture +Mata Atlântica,BAHIA,Dário Meira,3.77,2021,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,13.73,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,60.41,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,52.11,2021,agriculture +Caatinga,BAHIA,Juazeiro,83.02,2021,others +Cerrado,BAHIA,Barreiras,365.01,2021,agriculture +Caatinga,BAHIA,Carinhanha,2.74,2021,others +Caatinga,BAHIA,Ribeira do Amparo,4.63,2021,agriculture +Caatinga,BAHIA,Condeúba,44.83,2021,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,2.53,2021,agriculture +Mata Atlântica,BAHIA,Mascote,0.25,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,40.32,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,17.58,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,7.8,2021,agriculture +Caatinga,BAHIA,Caém,27.55,2021,others +Caatinga,BAHIA,Utinga,2.24,2021,agriculture +Caatinga,BAHIA,Ibicoara,1.57,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,7.59,2021,urban_expansion +Caatinga,BAHIA,Santa Rita de Cássia,11.9,2021,agriculture +Cerrado,BAHIA,Barreiras,48.75,2021,agriculture +Caatinga,BAHIA,Santa Bárbara,10.78,2021,others +Caatinga,BAHIA,Ribeira do Amparo,18.4,2021,agriculture +Caatinga,BAHIA,Ituaçu,6.55,2021,agriculture +Caatinga,BAHIA,Abaíra,1.05,2021,agriculture +Caatinga,BAHIA,Buritirama,3.4,2021,agriculture +Caatinga,BAHIA,Buritirama,0.82,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,0.83,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,7.76,2021,agriculture +Caatinga,BAHIA,Barra,0.93,2021,others +Caatinga,BAHIA,Cícero Dantas,2.6,2021,agriculture +Caatinga,BAHIA,Jeremoabo,3.9,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,8.23,2021,others +Caatinga,BAHIA,Morro do Chapéu,28.39,2021,agriculture +Caatinga,BAHIA,Várzea Nova,6.83,2021,others +Caatinga,BAHIA,Monte Santo,6.32,2021,others +Caatinga,BAHIA,Cordeiros,2.6,2021,agriculture +Caatinga,BAHIA,Iramaia,1.48,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,14.64,2021,others +Caatinga,BAHIA,Muquém do São Francisco,14.17,2021,others +Caatinga,BAHIA,Barra,0.6,2021,others +Caatinga,BAHIA,Licínio de Almeida,2.36,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,11.62,2021,others +Caatinga,BAHIA,Boquira,0.63,2021,agriculture +Caatinga,BAHIA,Caculé,6.03,2021,others +Caatinga,BAHIA,Caraíbas,1.75,2021,others +Caatinga,BAHIA,Anagé,1.32,2021,others +Caatinga,BAHIA,Aracatu,2.24,2021,others +Caatinga,BAHIA,Wanderley,34.78,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,17.36,2021,agriculture +Caatinga,BAHIA,Serra Dourada,9.66,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,13.6,2021,others +Caatinga,BAHIA,Riacho de Santana,3.2,2021,agriculture +Cerrado,BAHIA,Igaporã,4.09,2021,agriculture +Cerrado,BAHIA,Igaporã,10.07,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.81,2021,agriculture +Cerrado,BAHIA,Correntina,624.46,2021,agriculture +Cerrado,BAHIA,Cocos,1517.48,2021,agriculture +Mata Atlântica,BAHIA,Itororó,5.41,2021,agriculture +Cerrado,BAHIA,Barreiras,18.27,2021,agriculture +Cerrado,BAHIA,Caetité,8.55,2021,agriculture +Cerrado,BAHIA,Pindaí,15.08,2021,mining +Caatinga,BAHIA,Anagé,8.4,2021,agriculture +Mata Atlântica,BAHIA,Porto Seguro,3.46,2022,urban_expansion +Mata Atlântica,BAHIA,Jequié,3.64,2022,agriculture +Mata Atlântica,BAHIA,Belmonte,4.31,2022,agriculture +Mata Atlântica,BAHIA,São José da Vitória,0.95,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,0.47,2022,agriculture +Mata Atlântica,BAHIA,Dário Meira,2.76,2022,agriculture +Cerrado,BAHIA,São Desidério,19.17,2022,agriculture +Cerrado,BAHIA,São Desidério,352.47,2022,agriculture +Caatinga,BAHIA,Casa Nova,18.23,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,0.61,2022,agriculture +Cerrado,BAHIA,Muquém do São Francisco,161.81,2022,agriculture +Cerrado,BAHIA,São Desidério,158.45,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,103.42,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,0.62,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,2.14,2022,agriculture +Mata Atlântica,BAHIA,Guaratinga,1.91,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,6.85,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,29.19,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,4.9,2022,agriculture +Cerrado,BAHIA,Barreiras,296.51,2022,agriculture +Cerrado,BAHIA,Caetité,0.85,2022,agriculture +Caatinga,BAHIA,Santaluz,6.16,2022,others +Caatinga,BAHIA,Contendas do Sincorá,3.54,2022,others +Caatinga,BAHIA,Igaporã,1.15,2022,others +Caatinga,BAHIA,Paratinga,4.8,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,2.68,2022,agriculture +Caatinga,BAHIA,Itapicuru,1.79,2022,agriculture +Caatinga,BAHIA,Euclides da Cunha,116.52,2022,others +Caatinga,BAHIA,Paratinga,5.78,2022,agriculture +Caatinga,BAHIA,Nova Soure,7.79,2022,others +Caatinga,BAHIA,Campo Formoso,1.99,2022,others +Caatinga,BAHIA,Itaberaba,1.73,2022,agriculture +Cerrado,BAHIA,Tanque Novo,1.88,2022,agriculture +Cerrado,BAHIA,Igaporã,0.62,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,4.37,2022,others +Cerrado,BAHIA,Macaúbas,1.24,2022,agriculture +Caatinga,BAHIA,Jeremoabo,158.74,2022,others +Caatinga,BAHIA,Sátiro Dias,62.69,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,2.43,2022,others +Cerrado,BAHIA,Matina,2.43,2022,agriculture +Caatinga,BAHIA,Ibipitanga,3.88,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,0.67,2022,others +Caatinga,BAHIA,Tucano,10.72,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,284.54,2022,agriculture +Mata Atlântica,BAHIA,Caatiba,3.81,2022,agriculture +Mata Atlântica,BAHIA,Mutuípe,0.33,2022,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,18.71,2022,others +Cerrado,BAHIA,Catolândia,8.26,2022,agriculture +Cerrado,BAHIA,Jaborandi,13.32,2022,agriculture +Caatinga,BAHIA,Juazeiro,48.22,2022,agriculture +Caatinga,BAHIA,Barra,4.55,2022,agriculture +Caatinga,BAHIA,Cícero Dantas,26.25,2022,agriculture +Caatinga,BAHIA,Barra,4.03,2022,others +Caatinga,BAHIA,Anagé,0.33,2022,others +Caatinga,BAHIA,Muquém do São Francisco,13.62,2022,agriculture +Caatinga,BAHIA,Mucugê,158.06,2022,agriculture +Caatinga,BAHIA,Tanhaçu,5.78,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,0.85,2022,others +Cerrado,BAHIA,Tabocas do Brejo Velho,6.61,2022,agriculture +Caatinga,BAHIA,Ipupiara,1.45,2022,others +Caatinga,BAHIA,Gentio do Ouro,1.75,2022,others +Caatinga,BAHIA,Umburanas,2.25,2022,others +Cerrado,BAHIA,Barreiras,24.17,2022,agriculture +Caatinga,BAHIA,Umburanas,2.26,2022,others +Caatinga,BAHIA,Cotegipe,6.84,2022,others +Cerrado,BAHIA,Brejolândia,30.13,2022,agriculture +Caatinga,BAHIA,Serra do Ramalho,192.13,2022,agriculture +Caatinga,BAHIA,Ibotirama,2.33,2022,others +Caatinga,BAHIA,Brotas de Macaúbas,18.88,2022,urban_expansion +Caatinga,BAHIA,Brotas de Macaúbas,3.73,2022,others +Caatinga,BAHIA,Coronel João Sá,15.94,2022,others +Caatinga,BAHIA,Coribe,31.7,2022,others +Caatinga,BAHIA,Jeremoabo,7.86,2022,others +Cerrado,BAHIA,Jaborandi,370.25,2022,agriculture +Cerrado,BAHIA,São Desidério,1082.13,2022,agriculture +Cerrado,BAHIA,Correntina,77.73,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,10.28,2022,agriculture +Caatinga,BAHIA,Caraíbas,4.61,2022,others +Caatinga,BAHIA,Uauá,16.78,2022,others +Caatinga,BAHIA,Ribeira do Amparo,0.43,2022,agriculture +Caatinga,BAHIA,Malhada de Pedras,1.31,2022,others +Caatinga,BAHIA,Santa Brígida,8.19,2022,others +Caatinga,BAHIA,Pilão Arcado,0.11,2022,others +Caatinga,BAHIA,Buritirama,0.47,2022,others +Caatinga,BAHIA,Jeremoabo,7.75,2022,others +Cerrado,BAHIA,Canápolis,1.25,2022,agriculture +Caatinga,BAHIA,Feira da Mata,4.4,2022,others +Caatinga,BAHIA,Feira da Mata,17.6,2022,others +Caatinga,BAHIA,Campo Alegre de Lourdes,5.74,2022,others +Caatinga,BAHIA,Feira da Mata,0.95,2022,others +Caatinga,BAHIA,Monte Santo,0.76,2022,others +Caatinga,BAHIA,Piatã,1.03,2022,others +Mata Atlântica,BAHIA,Itagi,0.8,2022,agriculture +Mata Atlântica,BAHIA,Gandu,0.96,2022,agriculture +Mata Atlântica,BAHIA,Itacaré,0.94,2022,agriculture +Mata Atlântica,BAHIA,Castro Alves,35.69,2022,agriculture +Mata Atlântica,BAHIA,Camaçari,1.71,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,13.61,2022,agriculture +Cerrado,BAHIA,Cristópolis,48.07,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,106.57,2022,agriculture +Cerrado,BAHIA,São Desidério,105.16,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,32.52,2022,agriculture +Cerrado,BAHIA,Baianópolis,14.44,2022,agriculture +Caatinga,BAHIA,Feira da Mata,8.94,2019,agriculture +Cerrado,BAHIA,Jaborandi,0.97,2019,agriculture +Cerrado,BAHIA,Correntina,9.55,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,25.55,2019,agriculture +Mata Atlântica,BAHIA,Vereda,8.2,2019,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,1.52,2019,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,57.94,2019,agriculture +Caatinga,BAHIA,Angical,12.39,2019,agriculture +Cerrado,BAHIA,Cotegipe,21.95,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.77,2019,agriculture +Caatinga,BAHIA,Ruy Barbosa,11.13,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1050.92,2019,agriculture +Caatinga,BAHIA,Mucugê,2.19,2019,agriculture +Caatinga,BAHIA,Serra do Ramalho,30.56,2019,agriculture +Caatinga,BAHIA,Correntina,3.16,2019,agriculture +Caatinga,BAHIA,Carinhanha,7.07,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.23,2019,agriculture +Caatinga,BAHIA,Feira da Mata,8.16,2019,agriculture +Cerrado,BAHIA,Cristópolis,1.57,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,117.02,2019,agriculture +Caatinga,BAHIA,São Félix do Coribe,8.06,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.22,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,43.52,2019,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,6.33,2019,agriculture +Caatinga,BAHIA,Wanderley,20.37,2019,agriculture +Cerrado,BAHIA,Baianópolis,11.01,2019,agriculture +Cerrado,BAHIA,Cocos,13.92,2019,agriculture +Caatinga,BAHIA,São Félix do Coribe,19.19,2019,agriculture +Cerrado,BAHIA,São Desidério,282.0,2019,agriculture +Mata Atlântica,BAHIA,Arataca,1.0,2019,agriculture +Mata Atlântica,BAHIA,Gongogi,15.36,2019,agriculture +Mata Atlântica,BAHIA,Santa Luzia,2.6,2019,agriculture +Mata Atlântica,BAHIA,Uruçuca,32.09,2019,agriculture +Mata Atlântica,BAHIA,Maraú,5.14,2019,agriculture +Mata Atlântica,BAHIA,Nova Canaã,2.11,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,24.08,2020,agriculture +Cerrado,BAHIA,Barreiras,202.59,2020,agriculture +Cerrado,BAHIA,Barreiras,5.6,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,16.28,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,5084.77,2020,agriculture +Cerrado,BAHIA,Coribe,4.76,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,10.06,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,11.67,2020,agriculture +Mata Atlântica,BAHIA,Pojuca,2.6,2020,agriculture +Mata Atlântica,BAHIA,Aratuípe,0.84,2020,agriculture +Mata Atlântica,BAHIA,Camamu,1.59,2020,agriculture +Mata Atlântica,BAHIA,Valença,19.9,2020,agriculture +Mata Atlântica,BAHIA,Valença,3.13,2020,agriculture +Mata Atlântica,BAHIA,Igrapiúna,2.18,2020,agriculture +Mata Atlântica,BAHIA,Camamu,1.02,2020,agriculture +Mata Atlântica,BAHIA,São José da Vitória,1.88,2020,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,0.89,2020,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,1.66,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.59,2020,agriculture +Mata Atlântica,BAHIA,Coaraci,12.32,2020,agriculture +Mata Atlântica,BAHIA,Dário Meira,22.62,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,3.09,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,8.93,2020,agriculture +Caatinga,BAHIA,Condeúba,2.98,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,30.82,2020,agriculture +Mata Atlântica,BAHIA,Jandaíra,3.2,2020,agriculture +Mata Atlântica,BAHIA,Itaquara,16.53,2020,agriculture +Caatinga,BAHIA,Banzaê,25.59,2020,agriculture +Caatinga,BAHIA,Tanhaçu,17.94,2020,agriculture +Caatinga,BAHIA,Tucano,103.48,2020,agriculture +Caatinga,BAHIA,Ribeira do Pombal,24.43,2020,agriculture +Caatinga,BAHIA,Itapicuru,6.07,2020,agriculture +Caatinga,BAHIA,Morpará,66.83,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,7.84,2020,agriculture +Caatinga,BAHIA,Cotegipe,8.53,2020,agriculture +Caatinga,BAHIA,Santana,323.73,2020,agriculture +Caatinga,BAHIA,Seabra,0.92,2020,agriculture +Mata Atlântica,BAHIA,Camaçari,9.73,2020,urban_expansion +Mata Atlântica,BAHIA,Itabuna,4.72,2020,agriculture +Mata Atlântica,BAHIA,Valença,2.49,2020,agriculture +Caatinga,BAHIA,Wagner,3.51,2020,agriculture +Mata Atlântica,BAHIA,Una,8.47,2020,agriculture +Cerrado,BAHIA,São Desidério,19.76,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,43.64,2020,agriculture +Caatinga,BAHIA,Urandi,3.81,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,10.37,2020,agriculture +Caatinga,BAHIA,Paratinga,2.88,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,20.41,2020,agriculture +Caatinga,BAHIA,Brejolândia,15.23,2020,agriculture +Cerrado,BAHIA,São Desidério,41.55,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,4.33,2020,agriculture +Caatinga,BAHIA,Feira da Mata,3.76,2020,agriculture +Caatinga,BAHIA,Jaborandi,2.85,2020,agriculture +Caatinga,BAHIA,Barra,70.03,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.65,2020,agriculture +Caatinga,BAHIA,Brejolândia,6.74,2020,agriculture +Caatinga,BAHIA,Brumado,0.73,2020,agriculture +Caatinga,BAHIA,Tanque Novo,1.0,2020,agriculture +Caatinga,BAHIA,Piatã,1.09,2020,agriculture +Caatinga,BAHIA,Piatã,2.41,2020,agriculture +Caatinga,BAHIA,Ibipitanga,6.15,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,4.31,2020,agriculture +Caatinga,BAHIA,Coronel João Sá,18.1,2020,agriculture +Caatinga,BAHIA,Brumado,5.72,2020,agriculture +Caatinga,BAHIA,Dom Basílio,70.82,2020,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,5.7,2020,agriculture +Caatinga,BAHIA,Jeremoabo,1.39,2020,agriculture +Caatinga,BAHIA,Sítio do Quinto,7.59,2020,agriculture +Caatinga,BAHIA,Jaborandi,6.23,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,2.66,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,12.59,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,303.91,2020,agriculture +Cerrado,BAHIA,Barreiras,72.15,2020,agriculture +Caatinga,BAHIA,Wanderley,115.12,2020,agriculture +Caatinga,BAHIA,Santana,5.09,2020,agriculture +Cerrado,BAHIA,Mansidão,1.53,2020,agriculture +Caatinga,BAHIA,Paratinga,7.35,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,55.3,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,8.95,2020,agriculture +Caatinga,BAHIA,Wanderley,32.31,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,2.78,2020,agriculture +Mata Atlântica,BAHIA,Camacan,15.46,2020,agriculture +Caatinga,BAHIA,Caém,8.81,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.05,2020,agriculture +Caatinga,BAHIA,Cotegipe,28.21,2020,agriculture +Caatinga,BAHIA,Milagres,13.85,2020,agriculture +Caatinga,BAHIA,Aracatu,15.15,2020,agriculture +Mata Atlântica,BAHIA,Caatiba,31.26,2020,agriculture +Cerrado,BAHIA,Baianópolis,4.6,2020,agriculture +Mata Atlântica,BAHIA,Santa Inês,8.76,2020,agriculture +Caatinga,BAHIA,Ituaçu,1.32,2020,agriculture +Caatinga,BAHIA,Ribeira do Pombal,131.8,2020,agriculture +Caatinga,BAHIA,Santana,6.31,2020,agriculture +Caatinga,BAHIA,Serra Dourada,11.39,2020,agriculture +Caatinga,BAHIA,Angical,8.33,2020,agriculture +Mata Atlântica,BAHIA,Pau Brasil,7.3,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,7.01,2020,agriculture +Cerrado,BAHIA,Barreiras,16.24,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,3.39,2020,agriculture +Caatinga,BAHIA,Macajuba,22.27,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,5.8,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,1.68,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,9.3,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,1.69,2020,agriculture +Caatinga,BAHIA,Adustina,51.3,2020,agriculture +Caatinga,BAHIA,Tanhaçu,9.71,2020,agriculture +Caatinga,BAHIA,Jacobina,3.18,2020,agriculture +Caatinga,BAHIA,Mundo Novo,4.75,2020,agriculture +Cerrado,BAHIA,Coribe,6.31,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,9.8,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,3.09,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,11.35,2021,agriculture +Mata Atlântica,BAHIA,Gandu,4.96,2021,agriculture +Mata Atlântica,BAHIA,Dário Meira,2.19,2021,agriculture +Caatinga,BAHIA,Ibicoara,0.99,2021,agriculture +Caatinga,BAHIA,Santana,2.35,2021,agriculture +Cerrado,BAHIA,Cocos,131.8,2021,agriculture +Caatinga,BAHIA,Gentio do Ouro,0.57,2021,agriculture +Caatinga,BAHIA,Morpará,2.0,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,1.01,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,2.61,2021,agriculture +Caatinga,BAHIA,Barra da Estiva,1.0,2021,agriculture +Caatinga,BAHIA,Ibotirama,3.55,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,9.46,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,5.84,2021,agriculture +Cerrado,BAHIA,Catolândia,26.68,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.62,2021,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,55.81,2021,agriculture +Caatinga,BAHIA,Novo Triunfo,3.65,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,5.04,2021,agriculture +Mata Atlântica,BAHIA,Jiquiriçá,2.04,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,5.82,2021,agriculture +Caatinga,BAHIA,Miguel Calmon,12.75,2021,agriculture +Cerrado,BAHIA,Barreiras,6.85,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,30.23,2021,agriculture +Cerrado,BAHIA,Jaborandi,418.99,2021,agriculture +Mata Atlântica,BAHIA,Iguaí,2.51,2021,agriculture +Caatinga,BAHIA,Santana,32.58,2021,agriculture +Caatinga,BAHIA,Carinhanha,15.63,2021,agriculture +Mata Atlântica,BAHIA,Castro Alves,2.68,2021,agriculture +Caatinga,BAHIA,Miguel Calmon,1.16,2021,others +Caatinga,BAHIA,Guanambi,3.85,2021,agriculture +Caatinga,BAHIA,Ibipitanga,4.57,2021,agriculture +Caatinga,BAHIA,São Gabriel,1.75,2021,agriculture +Caatinga,BAHIA,Sobradinho,2.63,2021,agriculture +Cerrado,BAHIA,São Desidério,21.63,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,38.85,2021,agriculture +Cerrado,BAHIA,Caetité,1.36,2021,agriculture +Caatinga,BAHIA,Sento Sé,0.82,2021,agriculture +Cerrado,BAHIA,Correntina,0.75,2021,agriculture +Caatinga,BAHIA,Cotegipe,9.57,2021,agriculture +Cerrado,BAHIA,Catolândia,14.55,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,5.99,2021,agriculture +Caatinga,BAHIA,Pedro Alexandre,128.69,2021,agriculture +Caatinga,BAHIA,Jacaraci,0.67,2021,others +Cerrado,BAHIA,Caetité,1.67,2021,ilegal_mining +Caatinga,BAHIA,Urandi,8.42,2021,agriculture +Cerrado,BAHIA,Baianópolis,60.67,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,21.46,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,0.99,2021,agriculture +Caatinga,BAHIA,Caculé,8.83,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.2,2021,others +Cerrado,BAHIA,Cristópolis,2.73,2021,agriculture +Caatinga,BAHIA,Angical,14.39,2021,agriculture +Caatinga,BAHIA,Jeremoabo,0.11,2021,agriculture +Caatinga,BAHIA,Jussiape,1.68,2021,others +Caatinga,BAHIA,Irará,4.23,2021,others +Mata Atlântica,BAHIA,Porto Seguro,2.58,2021,urban_expansion +Caatinga,BAHIA,Sítio do Mato,1.4,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,2.4,2020,agriculture +Cerrado,BAHIA,São Desidério,2.95,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.35,2020,agriculture +Caatinga,BAHIA,Carinhanha,2.31,2020,others +Cerrado,BAHIA,São Desidério,1.82,2020,agriculture +Caatinga,BAHIA,Barra,0.57,2020,agriculture +Caatinga,BAHIA,Angical,3.71,2020,agriculture +Caatinga,BAHIA,Barra,1.33,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,3.17,2020,others +Caatinga,BAHIA,Barra,3.11,2020,others +Cerrado,BAHIA,Cotegipe,2.15,2020,agriculture +Caatinga,BAHIA,Cotegipe,1.02,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,1.58,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.74,2020,agriculture +Caatinga,BAHIA,Cotegipe,7.31,2020,others +Caatinga,BAHIA,Malhada,8.06,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.11,2020,others +Caatinga,BAHIA,Brejolândia,3.06,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,1.77,2020,agriculture +Cerrado,BAHIA,São Desidério,10.98,2020,agriculture +Cerrado,BAHIA,São Desidério,11.44,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,1.28,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,0.78,2020,others +Cerrado,BAHIA,Baianópolis,1.46,2020,agriculture +Caatinga,BAHIA,Buritirama,0.79,2020,agriculture +Caatinga,BAHIA,Mansidão,2.33,2020,agriculture +Cerrado,BAHIA,Coribe,0.31,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1.5,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,3.06,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.73,2020,agriculture +Cerrado,BAHIA,Barreiras,30.96,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,12.77,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.25,2020,agriculture +Cerrado,BAHIA,Barreiras,5.07,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,5.25,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.56,2020,agriculture +Caatinga,BAHIA,Cocos,2.5,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,8.61,2020,agriculture +Caatinga,BAHIA,Carinhanha,6.8,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.9,2020,agriculture +Caatinga,BAHIA,Carinhanha,3.54,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,1.69,2020,agriculture +Caatinga,BAHIA,Araci,1.37,2021,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,17.56,2021,others +Caatinga,BAHIA,Riacho de Santana,6.33,2021,others +Caatinga,BAHIA,Licínio de Almeida,2.55,2021,others +Caatinga,BAHIA,Riacho de Santana,0.94,2021,agriculture +Caatinga,BAHIA,Barra,2.97,2021,agriculture +Caatinga,BAHIA,Sento Sé,1.39,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.7,2021,agriculture +Caatinga,BAHIA,Casa Nova,3.38,2021,agriculture +Caatinga,BAHIA,Casa Nova,0.25,2021,agriculture +Caatinga,BAHIA,Iuiu,60.36,2021,agriculture +Caatinga,BAHIA,Ibipitanga,11.19,2021,others +Caatinga,BAHIA,Rio do Pires,10.0,2021,others +Caatinga,BAHIA,Serrinha,1.47,2021,agriculture +Mata Atlântica,BAHIA,Mucuri,13.07,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,271.39,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,13.29,2021,agriculture +Mata Atlântica,BAHIA,Conde,4.68,2021,agriculture +Caatinga,BAHIA,Buritirama,5.46,2021,agriculture +Caatinga,BAHIA,Mansidão,4.46,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,0.69,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,4.68,2021,agriculture +Mata Atlântica,BAHIA,Camaçari,2.51,2021,mining +Caatinga,BAHIA,Anagé,1.23,2021,agriculture +Caatinga,BAHIA,Serra Dourada,126.94,2021,agriculture +Caatinga,BAHIA,Jaborandi,27.42,2021,agriculture +Caatinga,BAHIA,Jaborandi,6.53,2021,agriculture +Caatinga,BAHIA,Jaborandi,5.19,2021,others +Caatinga,BAHIA,Angical,13.71,2021,agriculture +Cerrado,BAHIA,Catolândia,197.99,2021,agriculture +Cerrado,BAHIA,São Desidério,240.61,2021,agriculture +Mata Atlântica,BAHIA,Jitaúna,6.11,2021,agriculture +Cerrado,BAHIA,Barreiras,16.67,2021,agriculture +Caatinga,BAHIA,Xique-Xique,0.49,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,15.36,2021,agriculture +Caatinga,BAHIA,Brumado,1.89,2021,agriculture +Caatinga,BAHIA,Brumado,25.61,2021,agriculture +Mata Atlântica,BAHIA,Santa Cruz da Vitória,11.39,2021,agriculture +Mata Atlântica,BAHIA,Itagibá,31.32,2021,agriculture +Caatinga,BAHIA,Bonito,4.23,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.37,2021,agriculture +Mata Atlântica,BAHIA,Teolândia,4.76,2021,agriculture +Mata Atlântica,BAHIA,Boa Nova,4.15,2021,agriculture +Caatinga,BAHIA,Sento Sé,10.95,2021,others +Caatinga,BAHIA,Feira da Mata,2.58,2021,agriculture +Caatinga,BAHIA,Casa Nova,1.67,2021,agriculture +Mata Atlântica,BAHIA,Belo Campo,1.1,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,19.25,2021,urban_expansion +Mata Atlântica,BAHIA,Barra do Choça,1.65,2021,agriculture +Mata Atlântica,BAHIA,Barra do Choça,11.24,2021,agriculture +Caatinga,BAHIA,Coribe,13.3,2021,agriculture +Mata Atlântica,BAHIA,Camamu,3.68,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,53.2,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,6.33,2021,agriculture +Caatinga,BAHIA,Caturama,7.04,2021,others +Caatinga,BAHIA,Jacobina,10.89,2021,agriculture +Caatinga,BAHIA,Buritirama,9.03,2021,others +Caatinga,BAHIA,Manoel Vitorino,111.56,2021,agriculture +Caatinga,BAHIA,Queimadas,13.88,2021,agriculture +Caatinga,BAHIA,Buritirama,0.97,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.82,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,29.13,2021,agriculture +Caatinga,BAHIA,Cotegipe,13.87,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.59,2021,agriculture +Cerrado,BAHIA,Catolândia,2.36,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,2.02,2021,agriculture +Caatinga,BAHIA,Sobradinho,9.62,2021,agriculture +Caatinga,BAHIA,Campo Formoso,7.37,2021,others +Caatinga,BAHIA,Santana,8.07,2021,others +Caatinga,BAHIA,Iuiu,20.72,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,2.2,2021,others +Caatinga,BAHIA,Oliveira dos Brejinhos,18.87,2021,others +Caatinga,BAHIA,Boa Nova,2.1,2021,others +Caatinga,BAHIA,Poções,3.57,2021,others +Caatinga,BAHIA,Sento Sé,1.02,2021,others +Caatinga,BAHIA,Pedro Alexandre,4.55,2021,others +Caatinga,BAHIA,Sátiro Dias,149.78,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,11.05,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,9.61,2021,agriculture +Cerrado,BAHIA,Barreiras,37.52,2021,agriculture +Caatinga,BAHIA,Santana,68.26,2021,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,10.41,2021,agriculture +Caatinga,BAHIA,Brejolândia,34.11,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.07,2021,agriculture +Cerrado,BAHIA,Correntina,6.63,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.08,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,34.14,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,19.2,2021,agriculture +Caatinga,BAHIA,Canudos,124.85,2021,agriculture +Mata Atlântica,BAHIA,Jitaúna,1.2,2022,agriculture +Mata Atlântica,BAHIA,Jitaúna,1.0,2022,agriculture +Mata Atlântica,BAHIA,Itabela,4.14,2022,agriculture +Mata Atlântica,BAHIA,Ubaíra,1.24,2022,agriculture +Mata Atlântica,BAHIA,Vereda,1.69,2022,agriculture +Mata Atlântica,BAHIA,Nova Canaã,0.98,2022,agriculture +Mata Atlântica,BAHIA,Itapetinga,5.23,2022,agriculture +Cerrado,BAHIA,Barreiras,857.7,2022,agriculture +Cerrado,BAHIA,Barreiras,674.92,2022,agriculture +Caatinga,BAHIA,Planalto,1.93,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,237.61,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,155.52,2022,agriculture +Mata Atlântica,BAHIA,Itagi,4.46,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,8.7,2022,agriculture +Caatinga,BAHIA,Paratinga,2.35,2022,others +Caatinga,BAHIA,Matina,0.95,2022,others +Caatinga,BAHIA,Paulo Afonso,7.28,2022,others +Caatinga,BAHIA,Riacho de Santana,1.2,2022,others +Caatinga,BAHIA,Riacho de Santana,27.22,2022,agriculture +Cerrado,BAHIA,Igaporã,0.33,2022,agriculture +Caatinga,BAHIA,Paratinga,3.57,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,38.67,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.08,2022,others +Caatinga,BAHIA,Maracás,2.19,2022,others +Cerrado,BAHIA,Riacho de Santana,4.42,2022,agriculture +Caatinga,BAHIA,Chorrochó,11.24,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,6.02,2022,agriculture +Caatinga,BAHIA,Macaúbas,1.14,2022,agriculture +Caatinga,BAHIA,Matina,7.44,2022,agriculture +Caatinga,BAHIA,Ribeira do Amparo,81.99,2022,others +Cerrado,BAHIA,Riacho de Santana,1.59,2022,agriculture +Caatinga,BAHIA,Matina,1.44,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,0.43,2022,others +Cerrado,BAHIA,Igaporã,0.97,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,2.1,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,760.14,2022,agriculture +Mata Atlântica,BAHIA,Itarantim,3.71,2022,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,0.75,2022,agriculture +Mata Atlântica,BAHIA,Caravelas,0.37,2022,agriculture +Mata Atlântica,BAHIA,Belmonte,3.22,2022,agriculture +Caatinga,BAHIA,São Félix do Coribe,135.42,2022,others +Cerrado,BAHIA,Santa Maria da Vitória,2.16,2022,agriculture +Cerrado,BAHIA,Correntina,35.78,2022,agriculture +Caatinga,BAHIA,Jeremoabo,22.37,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,35.34,2022,others +Mata Atlântica,BAHIA,Água Fria,33.89,2022,agriculture +Caatinga,BAHIA,Santana,12.79,2022,others +Caatinga,BAHIA,Banzaê,3.8,2022,others +Caatinga,BAHIA,Malhada,8.02,2022,others +Caatinga,BAHIA,Ribeira do Pombal,9.59,2022,others +Caatinga,BAHIA,Coronel João Sá,8.47,2022,others +Caatinga,BAHIA,Cocos,2.7,2022,agriculture +Caatinga,BAHIA,Novo Triunfo,30.05,2022,agriculture +Cerrado,BAHIA,Canápolis,0.8,2022,agriculture +Caatinga,BAHIA,Ipupiara,5.1,2022,others +Caatinga,BAHIA,Cotegipe,31.77,2022,others +Cerrado,BAHIA,Catolândia,7.51,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,17.22,2022,agriculture +Caatinga,BAHIA,Brumado,6.72,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,14.15,2022,others +Caatinga,BAHIA,Sítio do Mato,7.17,2022,others +Caatinga,BAHIA,Xique-Xique,10.39,2022,others +Caatinga,BAHIA,Santana,21.29,2022,others +Caatinga,BAHIA,Antônio Gonçalves,3.47,2022,others +Caatinga,BAHIA,Érico Cardoso,52.51,2022,agriculture +Cerrado,BAHIA,Igaporã,4.02,2022,agriculture +Caatinga,BAHIA,Piatã,6.29,2022,others +Cerrado,BAHIA,Catolândia,6.66,2022,agriculture +Caatinga,BAHIA,Monte Santo,22.46,2022,others +Caatinga,BAHIA,Brejolândia,21.05,2022,others +Cerrado,BAHIA,São Desidério,467.87,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,22.97,2022,agriculture +Caatinga,BAHIA,Buritirama,2.62,2022,others +Caatinga,BAHIA,Guajeru,0.81,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,13.64,2022,others +Caatinga,BAHIA,Uauá,17.78,2022,others +Caatinga,BAHIA,Buritirama,2.61,2022,others +Caatinga,BAHIA,Novo Horizonte,0.26,2022,others +Caatinga,BAHIA,Anagé,2.19,2022,others +Caatinga,BAHIA,Boa Vista do Tupim,10.84,2022,others +Caatinga,BAHIA,Feira da Mata,12.2,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.98,2022,agriculture +Caatinga,BAHIA,Umburanas,5.29,2022,others +Caatinga,BAHIA,Riacho de Santana,2.68,2022,others +Caatinga,BAHIA,Buritirama,0.37,2022,agriculture +Mata Atlântica,BAHIA,Una,1.01,2022,agriculture +Mata Atlântica,BAHIA,Guaratinga,0.33,2022,agriculture +Mata Atlântica,BAHIA,Potiraguá,15.19,2022,agriculture +Mata Atlântica,BAHIA,Coração de Maria,3.62,2022,agriculture +Mata Atlântica,BAHIA,Aporá,1.78,2022,agriculture +Mata Atlântica,BAHIA,Itororó,4.64,2022,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.61,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,2.53,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,0.69,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,6.51,2022,agriculture +Caatinga,BAHIA,Jeremoabo,9.92,2022,agriculture +Caatinga,BAHIA,Curaçá,1.42,2022,agriculture +Cerrado,BAHIA,Brejolândia,30.17,2022,agriculture +Cerrado,BAHIA,Catolândia,24.83,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,202.59,2022,agriculture +Mata Atlântica,BAHIA,Itapitanga,8.3,2019,agriculture +Caatinga,BAHIA,Morro do Chapéu,10.08,2019,agriculture +Mata Atlântica,BAHIA,São Félix,1.76,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,32.43,2019,agriculture +Cerrado,BAHIA,Baianópolis,69.31,2019,agriculture +Caatinga,BAHIA,Coribe,16.22,2019,agriculture +Mata Atlântica,BAHIA,Valença,2.49,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,867.02,2019,agriculture +Caatinga,BAHIA,Itaberaba,5.42,2019,agriculture +Caatinga,BAHIA,Utinga,1.11,2019,agriculture +Caatinga,BAHIA,Lençóis,5.81,2019,agriculture +Caatinga,BAHIA,Campo Formoso,1.07,2019,agriculture +Caatinga,BAHIA,Caém,4.03,2019,agriculture +Caatinga,BAHIA,Carinhanha,20.68,2019,agriculture +Caatinga,BAHIA,Cocos,4.54,2019,agriculture +Cerrado,BAHIA,Jaborandi,69.81,2019,agriculture +Cerrado,BAHIA,Baianópolis,14.66,2019,agriculture +Cerrado,BAHIA,Jaborandi,800.15,2019,agriculture +Cerrado,BAHIA,Baianópolis,9.15,2019,agriculture +Cerrado,BAHIA,Correntina,87.99,2019,agriculture +Cerrado,BAHIA,São Desidério,4.21,2019,agriculture +Caatinga,BAHIA,Jaborandi,14.88,2019,agriculture +Caatinga,BAHIA,Feira da Mata,24.9,2019,agriculture +Cerrado,BAHIA,Baianópolis,6.9,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,31.56,2019,agriculture +Cerrado,BAHIA,Barreiras,533.99,2019,agriculture +Cerrado,BAHIA,Cocos,33.24,2019,agriculture +Mata Atlântica,BAHIA,Arataca,4.8,2019,agriculture +Mata Atlântica,BAHIA,Igrapiúna,0.9,2019,agriculture +Mata Atlântica,BAHIA,Jussari,4.36,2019,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,8.75,2019,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,21.81,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.82,2019,agriculture +Mata Atlântica,BAHIA,Prado,1.63,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1637.13,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,7.0,2020,agriculture +Caatinga,BAHIA,Wanderley,15.35,2020,agriculture +Caatinga,BAHIA,Jeremoabo,5.58,2020,agriculture +Caatinga,BAHIA,Cícero Dantas,0.75,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,13.83,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.92,2020,agriculture +Mata Atlântica,BAHIA,Camamu,1.16,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,4.71,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,26.49,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,19.08,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.38,2020,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,18.08,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,2.85,2020,agriculture +Mata Atlântica,BAHIA,Nova Ibiá,4.8,2020,agriculture +Mata Atlântica,BAHIA,Almadina,3.08,2020,agriculture +Mata Atlântica,BAHIA,Guaratinga,2.35,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,3.8,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,6.59,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,6.47,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,17.16,2020,agriculture +Caatinga,BAHIA,Angical,0.62,2020,agriculture +Caatinga,BAHIA,Sítio do Quinto,14.77,2020,agriculture 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+Caatinga,BAHIA,Urandi,6.86,2020,agriculture +Cerrado,BAHIA,Brejolândia,159.61,2020,agriculture +Caatinga,BAHIA,Brejolândia,12.55,2020,agriculture +Caatinga,BAHIA,Buritirama,20.19,2020,agriculture +Caatinga,BAHIA,Aracatu,17.4,2020,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,2.63,2020,agriculture +Caatinga,BAHIA,Lagoa Real,9.45,2020,agriculture +Caatinga,BAHIA,Mansidão,3.61,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,3.08,2020,agriculture +Caatinga,BAHIA,Dom Basílio,11.12,2020,agriculture +Caatinga,BAHIA,Ibipitanga,3.29,2020,agriculture +Caatinga,BAHIA,Ibicoara,3.45,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,10.43,2020,agriculture +Caatinga,BAHIA,Érico Cardoso,17.48,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,2.28,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.51,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,10.6,2020,agriculture +Caatinga,BAHIA,Angical,5.88,2020,agriculture +Mata Atlântica,BAHIA,Tremedal,5.89,2020,agriculture +Mata Atlântica,BAHIA,Jandaíra,13.48,2020,agriculture +Mata Atlântica,BAHIA,Guaratinga,13.93,2020,agriculture +Caatinga,BAHIA,Santana,28.86,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.07,2020,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,3.39,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.62,2020,agriculture +Caatinga,BAHIA,Mansidão,13.43,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.46,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,5.29,2020,agriculture +Caatinga,BAHIA,Brejolândia,10.05,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,121.51,2020,agriculture +Caatinga,BAHIA,Wanderley,1.25,2020,agriculture +Caatinga,BAHIA,Casa Nova,20.62,2020,agriculture +Cerrado,BAHIA,Cristópolis,17.72,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,10.31,2020,agriculture +Caatinga,BAHIA,Urandi,3.56,2020,agriculture +Caatinga,BAHIA,Buritirama,2.9,2020,agriculture +Mata Atlântica,BAHIA,Taperoá,12.75,2020,agriculture +Caatinga,BAHIA,Brejolândia,11.1,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.51,2020,agriculture +Caatinga,BAHIA,Cotegipe,8.19,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.61,2020,agriculture +Caatinga,BAHIA,Irará,0.91,2020,agriculture +Caatinga,BAHIA,Jussiape,1.77,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,750.04,2020,agriculture +Caatinga,BAHIA,Santana,36.63,2020,agriculture +Cerrado,BAHIA,Jaborandi,18.32,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,9.46,2020,agriculture +Caatinga,BAHIA,Angical,8.35,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,0.26,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,4.99,2020,agriculture +Caatinga,BAHIA,Brumado,43.06,2020,agriculture +Caatinga,BAHIA,Cotegipe,4.9,2020,agriculture +Caatinga,BAHIA,Brejolândia,1.06,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,5.59,2020,agriculture +Caatinga,BAHIA,Coração de Maria,23.33,2020,agriculture +Caatinga,BAHIA,Mundo Novo,15.16,2020,agriculture +Caatinga,BAHIA,Piatã,378.44,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,3.85,2020,agriculture +Mata Atlântica,BAHIA,Mascote,12.08,2021,agriculture +Mata Atlântica,BAHIA,Itabela,6.51,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.17,2021,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,6.19,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,11.32,2021,agriculture +Mata Atlântica,BAHIA,Uruçuca,2.52,2021,agriculture +Mata Atlântica,BAHIA,Itanhém,3.74,2021,agriculture +Mata Atlântica,BAHIA,Valença,2.85,2021,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,3.1,2021,agriculture +Mata Atlântica,BAHIA,Prado,7.37,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,2.57,2021,agriculture +Caatinga,BAHIA,Caetité,7.08,2021,agriculture +Caatinga,BAHIA,Santana,6.52,2021,agriculture +Caatinga,BAHIA,Cocos,4.23,2021,agriculture +Caatinga,BAHIA,Morpará,2.25,2021,agriculture +Cerrado,BAHIA,Igaporã,1.33,2021,agriculture +Caatinga,BAHIA,Igaporã,5.83,2021,agriculture +Caatinga,BAHIA,Remanso,0.4,2021,agriculture +Caatinga,BAHIA,Paratinga,11.23,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,51.66,2021,agriculture +Caatinga,BAHIA,Angical,9.92,2021,agriculture +Mata Atlântica,BAHIA,Maragogipe,0.56,2021,agriculture +Mata Atlântica,BAHIA,Maraú,5.43,2021,agriculture +Mata Atlântica,BAHIA,Ituberá,1.43,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,8.66,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.06,2021,agriculture +Caatinga,BAHIA,Angical,2.44,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,287.25,2021,agriculture +Mata Atlântica,BAHIA,Itapebi,1.95,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,9.28,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,7.18,2021,agriculture +Caatinga,BAHIA,Mairi,2.58,2021,agriculture +Caatinga,BAHIA,Mundo Novo,10.28,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,2.49,2021,agriculture +Caatinga,BAHIA,Remanso,1.77,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.79,2021,agriculture +Cerrado,BAHIA,Tanque Novo,0.94,2021,agriculture +Caatinga,BAHIA,Paramirim,1.71,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,1.39,2021,agriculture +Caatinga,BAHIA,Sento Sé,10.27,2021,agriculture +Cerrado,BAHIA,Correntina,2.04,2021,agriculture +Cerrado,BAHIA,Correntina,2.3,2021,agriculture +Caatinga,BAHIA,Brumado,5.79,2021,agriculture +Caatinga,BAHIA,Mirangaba,1.05,2021,agriculture +Cerrado,BAHIA,São Desidério,9.37,2021,agriculture +Caatinga,BAHIA,Paramirim,1.42,2021,agriculture +Caatinga,BAHIA,Jacobina,7.67,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,3.08,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,36.14,2021,agriculture +Caatinga,BAHIA,Cotegipe,18.3,2021,agriculture +Cerrado,BAHIA,Barreiras,22.24,2021,others +Mata Atlântica,BAHIA,Esplanada,2.7,2021,agriculture +Mata Atlântica,BAHIA,Una,4.66,2021,agriculture +Caatinga,BAHIA,Miguel Calmon,2.3,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,14.06,2021,agriculture +Caatinga,BAHIA,Ruy Barbosa,4.46,2021,others +Caatinga,BAHIA,Tucano,4.36,2021,agriculture +Caatinga,BAHIA,Itapicuru,2.62,2021,agriculture +Caatinga,BAHIA,Feira da Mata,16.67,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,1.84,2021,agriculture +Caatinga,BAHIA,Santa Brígida,7.96,2021,agriculture +Caatinga,BAHIA,Brumado,0.41,2021,others +Caatinga,BAHIA,Brejolândia,13.96,2021,agriculture +Caatinga,BAHIA,Carinhanha,10.55,2021,agriculture +Mata Atlântica,BAHIA,Teixeira de Freitas,4.03,2021,agriculture +Caatinga,BAHIA,Jaborandi,7.64,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,17.05,2020,agriculture +Caatinga,BAHIA,Buritirama,0.99,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,1.45,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.67,2020,agriculture +Cerrado,BAHIA,São Desidério,1.91,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,7.91,2020,agriculture +Cerrado,BAHIA,São Desidério,1.11,2020,agriculture +Caatinga,BAHIA,Cotegipe,1.98,2020,agriculture +Caatinga,BAHIA,Urandi,6.57,2020,others +Caatinga,BAHIA,Angical,1.49,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,8.56,2020,others +Caatinga,BAHIA,Barra,1.07,2020,others +Cerrado,BAHIA,Cotegipe,2.18,2020,agriculture +Caatinga,BAHIA,Barra,2.57,2020,agriculture +Caatinga,BAHIA,Barra,0.76,2020,others +Caatinga,BAHIA,Wanderley,7.32,2020,others +Cerrado,BAHIA,Cotegipe,2.34,2020,agriculture +Cerrado,BAHIA,Cotegipe,30.03,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,1.21,2020,others +Caatinga,BAHIA,Bom Jesus da Lapa,5.86,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,6.35,2020,others +Caatinga,BAHIA,Palmas de Monte Alto,0.82,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,6.36,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,2.54,2020,others +Cerrado,BAHIA,Santa Maria da Vitória,3.74,2020,agriculture +Cerrado,BAHIA,Correntina,2.11,2020,agriculture +Caatinga,BAHIA,Coribe,4.0,2020,agriculture +Caatinga,BAHIA,Brejolândia,5.1,2020,others +Cerrado,BAHIA,Baianópolis,1.96,2020,agriculture +Caatinga,BAHIA,Brejolândia,15.5,2020,others +Caatinga,BAHIA,Brejolândia,2.34,2020,agriculture +Caatinga,BAHIA,Buritirama,1.91,2020,agriculture +Caatinga,BAHIA,Buritirama,2.72,2020,agriculture +Caatinga,BAHIA,Ibotirama,3.43,2020,others +Cerrado,BAHIA,Formosa do Rio Preto,3.91,2020,agriculture +Cerrado,BAHIA,Barreiras,13.49,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,3.08,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1.81,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.69,2020,agriculture +Cerrado,BAHIA,Cocos,3.39,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.34,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,1.68,2021,agriculture +Caatinga,BAHIA,Jaguarari,0.36,2021,agriculture +Mata Atlântica,BAHIA,Anagé,4.7,2021,agriculture +Caatinga,BAHIA,Paramirim,4.23,2021,others +Caatinga,BAHIA,Itatim,5.0,2021,others +Mata Atlântica,BAHIA,Itaquara,0.66,2021,agriculture +Caatinga,BAHIA,Canudos,0.22,2021,agriculture +Caatinga,BAHIA,Ibipitanga,60.52,2021,others +Cerrado,BAHIA,Caetité,0.73,2021,others +Cerrado,BAHIA,Baianópolis,31.43,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,29.75,2021,agriculture +Mata Atlântica,BAHIA,Buerarema,11.23,2021,agriculture +Caatinga,BAHIA,Santa Brígida,0.33,2021,agriculture +Caatinga,BAHIA,Umburanas,0.84,2021,others +Caatinga,BAHIA,Jacobina,5.3,2021,agriculture +Caatinga,BAHIA,Cotegipe,4.75,2021,agriculture +Caatinga,BAHIA,Sobradinho,1.22,2021,agriculture +Caatinga,BAHIA,Cocos,64.74,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,5.64,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,12.7,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.37,2021,agriculture +Caatinga,BAHIA,Barra,61.31,2021,agriculture +Caatinga,BAHIA,Jeremoabo,12.28,2021,others +Caatinga,BAHIA,Paulo Afonso,0.51,2021,others +Caatinga,BAHIA,Pedro Alexandre,50.98,2021,others +Caatinga,BAHIA,Lagoa Real,1.54,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,6.44,2021,agriculture +Mata Atlântica,BAHIA,Aiquara,8.43,2021,agriculture +Caatinga,BAHIA,Tapiramutá,4.04,2021,others +Caatinga,BAHIA,Carinhanha,31.41,2021,others +Caatinga,BAHIA,Wanderley,59.86,2021,agriculture +Caatinga,BAHIA,Remanso,2.24,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,112.76,2021,agriculture +Caatinga,BAHIA,Carinhanha,8.57,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,0.6,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,6.35,2021,agriculture +Caatinga,BAHIA,Coribe,2.07,2021,agriculture +Cerrado,BAHIA,Correntina,7.92,2021,agriculture +Caatinga,BAHIA,Casa Nova,4.17,2021,agriculture +Mata Atlântica,BAHIA,Itapebi,2.51,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,1.02,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,2.33,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,2.82,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,9.33,2021,agriculture +Caatinga,BAHIA,Ibipeba,9.23,2021,others +Mata Atlântica,BAHIA,Maracás,0.89,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.52,2021,agriculture +Cerrado,BAHIA,São Desidério,84.21,2021,agriculture +Cerrado,BAHIA,Cristópolis,4.22,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,227.33,2021,agriculture +Caatinga,BAHIA,Candeal,10.0,2021,agriculture +Cerrado,BAHIA,Caetité,1.02,2021,agriculture +Caatinga,BAHIA,Brumado,3.93,2021,others +Caatinga,BAHIA,Buritirama,1.11,2021,agriculture +Caatinga,BAHIA,Buritirama,1.69,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.91,2021,others +Caatinga,BAHIA,Juazeiro,24.25,2021,agriculture +Caatinga,BAHIA,Cotegipe,1.7,2021,agriculture +Caatinga,BAHIA,Filadélfia,4.05,2021,others +Caatinga,BAHIA,Campo Formoso,1.13,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,8.99,2021,others +Caatinga,BAHIA,Ourolândia,6.3,2021,agriculture +Cerrado,BAHIA,Cocos,22.27,2021,agriculture +Caatinga,BAHIA,Serra Dourada,60.83,2021,agriculture +Caatinga,BAHIA,Campo Formoso,14.83,2021,others +Caatinga,BAHIA,Santana,6.61,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,4.53,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.98,2021,agriculture +Caatinga,BAHIA,Santana,9.89,2021,others +Caatinga,BAHIA,Licínio de Almeida,1.16,2021,others +Caatinga,BAHIA,Licínio de Almeida,5.15,2021,others +Caatinga,BAHIA,Urandi,1.98,2021,others +Caatinga,BAHIA,Souto Soares,1.79,2021,agriculture +Caatinga,BAHIA,Aracatu,2.53,2021,others +Caatinga,BAHIA,Brumado,3.2,2021,others +Caatinga,BAHIA,Brumado,4.13,2021,others +Caatinga,BAHIA,Euclides da Cunha,32.11,2021,agriculture +Caatinga,BAHIA,Pedro Alexandre,24.67,2021,others +Caatinga,BAHIA,Tucano,51.44,2021,others +Caatinga,BAHIA,Itapicuru,364.36,2021,agriculture +Caatinga,BAHIA,Angical,20.75,2021,agriculture +Caatinga,BAHIA,Serra Dourada,2.83,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,7.96,2021,agriculture +Cerrado,BAHIA,Baianópolis,106.84,2021,agriculture +Cerrado,BAHIA,Baianópolis,19.12,2021,agriculture +Cerrado,BAHIA,Correntina,306.89,2021,agriculture +Caatinga,BAHIA,Ibotirama,27.73,2021,agriculture +Caatinga,BAHIA,Brejolândia,58.39,2021,agriculture +Cerrado,BAHIA,Lagoa Real,2.44,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,4.57,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,1.28,2021,others +Cerrado,BAHIA,Correntina,5.11,2021,agriculture +Caatinga,BAHIA,Carinhanha,3.81,2021,agriculture +Mata Atlântica,BAHIA,Encruzilhada,11.58,2022,agriculture +Mata Atlântica,BAHIA,Prado,11.25,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,3.86,2022,agriculture +Mata Atlântica,BAHIA,Itapetinga,24.83,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,7.26,2022,agriculture +Mata Atlântica,BAHIA,Maracás,1.02,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,57.2,2022,agriculture +Mata Atlântica,BAHIA,Taperoá,4.28,2022,agriculture +Mata Atlântica,BAHIA,Santa Luzia,18.82,2022,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,1.4,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,3.04,2022,agriculture +Mata Atlântica,BAHIA,Lafaiete Coutinho,1.22,2022,agriculture +Mata Atlântica,BAHIA,Lajedo do Tabocal,5.64,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,6.01,2022,agriculture +Caatinga,BAHIA,Paratinga,17.09,2022,agriculture +Caatinga,BAHIA,Seabra,3.86,2022,agriculture +Caatinga,BAHIA,Piatã,3.05,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,4.84,2022,others +Caatinga,BAHIA,Muquém do São Francisco,5.1,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,5.36,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,5.21,2022,agriculture +Caatinga,BAHIA,Paratinga,3.43,2022,agriculture +Caatinga,BAHIA,Anagé,7.48,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,112.6,2022,agriculture +Cerrado,BAHIA,São Desidério,91.05,2022,agriculture +Cerrado,BAHIA,Baianópolis,133.52,2022,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.99,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,1.12,2022,agriculture +Mata Atlântica,BAHIA,Itabela,1.55,2022,agriculture +Mata Atlântica,BAHIA,Conde,5.65,2022,agriculture +Mata Atlântica,BAHIA,Entre Rios,19.73,2022,agriculture +Mata Atlântica,BAHIA,Camaçari,1.31,2022,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,5.97,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,135.04,2022,agriculture +Caatinga,BAHIA,Sátiro Dias,17.92,2022,others +Caatinga,BAHIA,Piritiba,5.09,2022,others +Caatinga,BAHIA,Paulo Afonso,1.52,2022,others +Cerrado,BAHIA,Tanque Novo,3.63,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,5.12,2022,others +Caatinga,BAHIA,Riacho de Santana,6.4,2022,agriculture +Caatinga,BAHIA,Antônio Gonçalves,1.04,2022,others +Caatinga,BAHIA,Piatã,0.99,2022,agriculture +Caatinga,BAHIA,Santa Brígida,7.8,2022,others +Caatinga,BAHIA,Remanso,0.46,2022,others +Cerrado,BAHIA,Macaúbas,0.65,2022,agriculture +Caatinga,BAHIA,Matina,14.36,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,5.11,2022,agriculture +Cerrado,BAHIA,Matina,0.65,2022,agriculture +Caatinga,BAHIA,Glória,1.48,2022,agriculture +Cerrado,BAHIA,Igaporã,3.67,2022,agriculture +Cerrado,BAHIA,Igaporã,4.67,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,13.55,2022,agriculture +Cerrado,BAHIA,Coribe,20.69,2022,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,1.29,2022,agriculture +Mata Atlântica,BAHIA,Água Fria,1.58,2022,agriculture +Mata Atlântica,BAHIA,Candeal,5.16,2022,agriculture +Mata Atlântica,BAHIA,Caatiba,5.54,2022,agriculture +Mata Atlântica,BAHIA,Maraú,0.85,2022,agriculture +Caatinga,BAHIA,Ibiassucê,7.78,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,14.1,2022,agriculture +Cerrado,BAHIA,Correntina,293.28,2022,agriculture +Caatinga,BAHIA,Érico Cardoso,1.54,2022,others +Cerrado,BAHIA,Cotegipe,4.82,2022,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,4.45,2022,others +Caatinga,BAHIA,Coronel João Sá,2.45,2022,others +Caatinga,BAHIA,Novo Triunfo,6.69,2022,agriculture +Cerrado,BAHIA,Cotegipe,16.98,2022,agriculture +Caatinga,BAHIA,Ipupiara,2.65,2022,others +Cerrado,BAHIA,Mansidão,118.21,2022,agriculture +Caatinga,BAHIA,Anagé,8.91,2022,others +Caatinga,BAHIA,Carinhanha,4.03,2022,others +Cerrado,BAHIA,Canápolis,5.27,2022,agriculture +Caatinga,BAHIA,Brumado,6.29,2022,agriculture +Cerrado,BAHIA,Boquira,4.67,2022,agriculture +Caatinga,BAHIA,Euclides da Cunha,39.28,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,55.44,2022,others +Caatinga,BAHIA,Campo Formoso,2.11,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,6.66,2022,others +Caatinga,BAHIA,Gentio do Ouro,4.29,2022,renewable_energy_project +Caatinga,BAHIA,Cícero Dantas,4.9,2022,others +Caatinga,BAHIA,Santa Rita de Cássia,19.82,2022,others +Cerrado,BAHIA,Tabocas do Brejo Velho,7.35,2022,agriculture +Cerrado,BAHIA,Cotegipe,181.77,2022,agriculture +Cerrado,BAHIA,Jaborandi,23.4,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,19.41,2022,agriculture +Caatinga,BAHIA,Andorinha,3.46,2022,others +Caatinga,BAHIA,Guajeru,2.4,2022,others +Caatinga,BAHIA,Monte Santo,2.22,2022,others +Caatinga,BAHIA,Campo Formoso,0.42,2022,others +Caatinga,BAHIA,Rio do Antônio,3.7,2022,others +Caatinga,BAHIA,Monte Santo,9.02,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,4.48,2022,others +Caatinga,BAHIA,Pilão Arcado,0.87,2022,others +Caatinga,BAHIA,Barra,0.34,2022,others +Caatinga,BAHIA,Ibitiara,15.84,2022,others +Caatinga,BAHIA,Boninal,0.44,2022,urban_expansion +Caatinga,BAHIA,Palmas de Monte Alto,72.01,2022,agriculture +Caatinga,BAHIA,Lagoa Real,9.54,2022,others +Mata Atlântica,BAHIA,Encruzilhada,19.56,2022,agriculture +Mata Atlântica,BAHIA,Coaraci,1.04,2022,agriculture +Mata Atlântica,BAHIA,Valença,0.58,2022,agriculture +Mata Atlântica,BAHIA,Feira de Santana,5.31,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,10.38,2019,agriculture +Cerrado,BAHIA,Barreiras,164.85,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,42.99,2019,urban_expansion +Caatinga,BAHIA,Feira da Mata,3.91,2019,agriculture +Caatinga,BAHIA,Feira da Mata,3.72,2019,agriculture +Mata Atlântica,BAHIA,Ituberá,2.94,2019,agriculture +Mata Atlântica,BAHIA,Itabela,17.44,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.01,2019,agriculture +Caatinga,BAHIA,Brejolândia,10.99,2019,agriculture +Caatinga,BAHIA,Angical,11.21,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,32.17,2019,agriculture +Cerrado,BAHIA,Correntina,97.49,2019,agriculture +Caatinga,BAHIA,Sítio do Mato,17.83,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,11.03,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,115.22,2019,agriculture +Cerrado,BAHIA,Barreiras,260.1,2019,agriculture +Mata Atlântica,BAHIA,Taperoá,4.96,2019,agriculture +Mata Atlântica,BAHIA,Ilhéus,3.59,2019,agriculture +Mata Atlântica,BAHIA,Jequié,7.59,2019,agriculture +Mata Atlântica,BAHIA,Ilhéus,3.19,2019,agriculture +Mata Atlântica,BAHIA,Dário Meira,0.47,2019,agriculture +Mata Atlântica,BAHIA,Boa Nova,1.78,2019,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,7.69,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,3.55,2019,agriculture +Mata Atlântica,BAHIA,Igrapiúna,3.53,2019,agriculture +Mata Atlântica,BAHIA,Jaguaripe,3.31,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,0.65,2019,agriculture +Mata Atlântica,BAHIA,Ubaíra,18.05,2019,agriculture +Cerrado,BAHIA,Baianópolis,21.5,2020,agriculture +Cerrado,BAHIA,Barreiras,3.06,2020,agriculture +Caatinga,BAHIA,Angical,13.21,2020,agriculture +Cerrado,BAHIA,Cristópolis,21.2,2020,agriculture +Cerrado,BAHIA,São Desidério,220.17,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,57.77,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,32.01,2020,agriculture +Mata Atlântica,BAHIA,Jandaíra,1.97,2020,agriculture +Mata Atlântica,BAHIA,Catu,4.7,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,16.2,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.92,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,14.89,2020,agriculture +Mata Atlântica,BAHIA,Buerarema,1.55,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,6.73,2020,agriculture +Mata Atlântica,BAHIA,São José da Vitória,15.1,2020,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,12.48,2020,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,3.12,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,3.62,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,14.23,2020,agriculture +Mata Atlântica,BAHIA,Tremedal,10.26,2020,agriculture +Caatinga,BAHIA,Biritinga,24.39,2020,agriculture +Caatinga,BAHIA,Jeremoabo,35.29,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,10.48,2020,agriculture +Mata Atlântica,BAHIA,Itaquara,8.14,2020,agriculture +Caatinga,BAHIA,Ribeira do Pombal,7.36,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,9.35,2020,agriculture +Caatinga,BAHIA,Casa Nova,10.74,2020,agriculture +Caatinga,BAHIA,Itapicuru,4.13,2020,agriculture +Caatinga,BAHIA,Guajeru,16.14,2020,agriculture +Caatinga,BAHIA,Jaborandi,8.92,2020,agriculture +Caatinga,BAHIA,Angical,3.41,2020,agriculture +Cerrado,BAHIA,Correntina,14.49,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,3.81,2020,agriculture +Mata Atlântica,BAHIA,Itagi,1.07,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,3.86,2020,urban_expansion +Cerrado,BAHIA,Baianópolis,303.3,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,122.51,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,27.31,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,13.71,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,29.11,2020,agriculture +Cerrado,BAHIA,Jaborandi,43.9,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,14.66,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,30.99,2020,agriculture +Cerrado,BAHIA,Jaborandi,13.73,2020,agriculture +Caatinga,BAHIA,Carinhanha,2.5,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,4.5,2020,agriculture +Caatinga,BAHIA,Cristópolis,4.17,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,48.0,2020,agriculture +Caatinga,BAHIA,Casa Nova,24.38,2020,agriculture +Mata Atlântica,BAHIA,Itapé,11.31,2020,agriculture +Caatinga,BAHIA,Érico Cardoso,4.46,2020,agriculture +Caatinga,BAHIA,Brumado,7.4,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,211.77,2020,agriculture +Caatinga,BAHIA,Coronel João Sá,5.12,2020,agriculture +Caatinga,BAHIA,Mansidão,3.12,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,7.77,2020,agriculture +Caatinga,BAHIA,Rio do Antônio,5.46,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.81,2020,agriculture +Caatinga,BAHIA,Rio do Antônio,2.68,2020,agriculture +Cerrado,BAHIA,Mortugaba,13.5,2020,agriculture +Caatinga,BAHIA,Anagé,7.47,2020,agriculture +Cerrado,BAHIA,Cristópolis,63.64,2020,agriculture +Caatinga,BAHIA,Piatã,16.5,2020,agriculture +Caatinga,BAHIA,Boninal,6.93,2020,agriculture +Caatinga,BAHIA,Piripá,6.83,2020,agriculture +Caatinga,BAHIA,Ituaçu,71.99,2020,agriculture +Caatinga,BAHIA,Xique-Xique,19.26,2020,agriculture +Caatinga,BAHIA,Mucugê,1.64,2020,agriculture +Caatinga,BAHIA,Jussiape,1.69,2020,agriculture +Caatinga,BAHIA,Cansanção,2.26,2020,agriculture +Caatinga,BAHIA,Boninal,9.58,2020,agriculture +Caatinga,BAHIA,Baixa Grande,45.73,2020,agriculture +Mata Atlântica,BAHIA,Iguaí,8.5,2020,agriculture +Caatinga,BAHIA,Serra Dourada,64.82,2020,agriculture +Caatinga,BAHIA,Buritirama,13.53,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,13.09,2020,agriculture +Caatinga,BAHIA,Jaborandi,17.22,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,13.9,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,0.71,2020,agriculture +Caatinga,BAHIA,Jeremoabo,5.85,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,138.26,2020,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,2.46,2020,agriculture +Caatinga,BAHIA,Buritirama,1.72,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.1,2020,agriculture +Mata Atlântica,BAHIA,Irará,1.86,2020,agriculture +Caatinga,BAHIA,Brumado,14.26,2020,agriculture +Caatinga,BAHIA,Jussiape,1.45,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,3.23,2020,urban_expansion +Cerrado,BAHIA,Baianópolis,63.71,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,3.79,2020,agriculture +Caatinga,BAHIA,Angical,10.74,2020,agriculture +Mata Atlântica,BAHIA,Valença,4.04,2020,agriculture +Mata Atlântica,BAHIA,Guaratinga,10.61,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,10.92,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.86,2020,agriculture +Caatinga,BAHIA,Brumado,20.9,2020,agriculture +Cerrado,BAHIA,Caetité,0.49,2020,agriculture +Caatinga,BAHIA,Brumado,7.3,2020,agriculture +Caatinga,BAHIA,Aracatu,1.65,2020,agriculture +Caatinga,BAHIA,Cotegipe,5.76,2020,agriculture +Caatinga,BAHIA,Caetité,1.08,2020,agriculture +Caatinga,BAHIA,Macaúbas,2.33,2020,agriculture +Caatinga,BAHIA,Paratinga,2.96,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,3.13,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.26,2020,agriculture +Caatinga,BAHIA,Tanhaçu,0.95,2020,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,5.74,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,1.72,2020,agriculture +Caatinga,BAHIA,Urandi,12.45,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,11.29,2020,agriculture +Caatinga,BAHIA,Itaberaba,3.47,2020,agriculture +Caatinga,BAHIA,Mirante,3.0,2020,agriculture +Cerrado,BAHIA,Correntina,13.39,2021,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,25.56,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,7.67,2021,agriculture +Cerrado,BAHIA,Brejolândia,10.4,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,3.18,2021,agriculture +Mata Atlântica,BAHIA,Camamu,1.24,2021,agriculture +Mata Atlântica,BAHIA,Guaratinga,6.85,2021,agriculture +Caatinga,BAHIA,Condeúba,7.3,2021,agriculture +Mata Atlântica,BAHIA,Conde,5.78,2021,agriculture +Mata Atlântica,BAHIA,Taperoá,1.02,2021,agriculture +Caatinga,BAHIA,Canudos,30.73,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,24.03,2021,agriculture +Caatinga,BAHIA,Correntina,6.78,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,80.14,2021,agriculture +Cerrado,BAHIA,Baianópolis,6.97,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,0.95,2021,agriculture +Caatinga,BAHIA,Olindina,16.43,2021,agriculture +Caatinga,BAHIA,Candiba,2.27,2021,agriculture +Cerrado,BAHIA,São Desidério,5.99,2021,agriculture +Caatinga,BAHIA,Serra Dourada,3.67,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,40.88,2021,agriculture +Mata Atlântica,BAHIA,Cachoeira,1.89,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,18.16,2021,agriculture +Mata Atlântica,BAHIA,Camamu,2.77,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,3.57,2021,agriculture +Mata Atlântica,BAHIA,Jaguaquara,8.96,2021,agriculture +Mata Atlântica,BAHIA,Jitaúna,3.25,2021,agriculture +Caatinga,BAHIA,Mundo Novo,4.66,2021,agriculture +Cerrado,BAHIA,Tanque Novo,1.61,2021,agriculture +Caatinga,BAHIA,Paratinga,20.62,2021,agriculture +Cerrado,BAHIA,São Desidério,2.97,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,15.36,2021,agriculture +Cerrado,BAHIA,Caetité,0.48,2021,agriculture +Cerrado,BAHIA,Caetité,0.69,2021,agriculture +Mata Atlântica,BAHIA,Camaçari,1.88,2021,agriculture +Caatinga,BAHIA,Cotegipe,36.36,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,0.18,2021,agriculture +Caatinga,BAHIA,Dom Basílio,4.26,2021,agriculture +Caatinga,BAHIA,Utinga,0.85,2021,agriculture +Caatinga,BAHIA,Casa Nova,28.21,2021,agriculture +Mata Atlântica,BAHIA,Alagoinhas,17.12,2021,agriculture +Caatinga,BAHIA,Casa Nova,1.27,2021,agriculture +Cerrado,BAHIA,Igaporã,0.7,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,154.78,2021,agriculture +Mata Atlântica,BAHIA,Aporá,3.65,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.39,2021,agriculture +Caatinga,BAHIA,Macururé,8.16,2021,agriculture +Caatinga,BAHIA,Campo Formoso,1.35,2021,others +Caatinga,BAHIA,Carinhanha,21.2,2021,agriculture +Caatinga,BAHIA,Serra Dourada,29.09,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,11.78,2021,others +Caatinga,BAHIA,Bom Jesus da Lapa,19.19,2021,agriculture +Caatinga,BAHIA,Feira da Mata,4.45,2020,others +Cerrado,BAHIA,Luís Eduardo Magalhães,1.78,2020,agriculture +Cerrado,BAHIA,Correntina,0.55,2020,agriculture +Cerrado,BAHIA,Correntina,1.1,2020,agriculture +Caatinga,BAHIA,Barra,19.73,2020,agriculture +Caatinga,BAHIA,Cristópolis,13.22,2020,others +Caatinga,BAHIA,Urandi,6.85,2020,others +Caatinga,BAHIA,Angical,1.85,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.99,2020,agriculture +Caatinga,BAHIA,Barra,0.96,2020,others +Caatinga,BAHIA,Barra,3.6,2020,others +Caatinga,BAHIA,Barra,0.72,2020,others +Caatinga,BAHIA,Barra,3.19,2020,agriculture +Caatinga,BAHIA,Barra,0.71,2020,others +Caatinga,BAHIA,Malhada,12.22,2020,agriculture +Cerrado,BAHIA,Baianópolis,4.58,2020,agriculture +Cerrado,BAHIA,Baianópolis,0.97,2020,agriculture +Caatinga,BAHIA,Brejolândia,2.72,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,5.84,2020,agriculture +Cerrado,BAHIA,São Desidério,0.75,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,0.91,2020,agriculture +Cerrado,BAHIA,Correntina,3.92,2020,agriculture +Cerrado,BAHIA,Catolândia,1.05,2020,agriculture +Cerrado,BAHIA,Santana,4.65,2020,agriculture +Caatinga,BAHIA,Santana,4.18,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,1.96,2020,agriculture +Caatinga,BAHIA,Jaborandi,4.21,2020,agriculture +Cerrado,BAHIA,Correntina,3.61,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,2.09,2020,others +Caatinga,BAHIA,São Félix do Coribe,1.11,2020,agriculture +Cerrado,BAHIA,Correntina,1.88,2020,agriculture +Caatinga,BAHIA,Buritirama,2.0,2020,others +Caatinga,BAHIA,Brejolândia,1.78,2020,agriculture +Caatinga,BAHIA,Buritirama,0.98,2020,others +Caatinga,BAHIA,Buritirama,1.05,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,0.68,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.18,2020,others +Caatinga,BAHIA,Mansidão,2.02,2020,others +Caatinga,BAHIA,Pilão Arcado,1.05,2020,agriculture +Caatinga,BAHIA,Buritirama,0.72,2020,others +Caatinga,BAHIA,Serra do Ramalho,0.64,2020,others +Caatinga,BAHIA,Bom Jesus da Lapa,1.46,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.61,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1.14,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,0.49,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.9,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.06,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.12,2020,agriculture +Caatinga,BAHIA,Carinhanha,3.08,2020,agriculture +Caatinga,BAHIA,Carinhanha,6.55,2020,agriculture +Caatinga,BAHIA,Coribe,4.24,2020,others +Cerrado,BAHIA,Coribe,3.04,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,3.54,2021,agriculture +Cerrado,BAHIA,Baianópolis,9.01,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.55,2021,agriculture +Caatinga,BAHIA,Jaguarari,0.76,2021,agriculture +Caatinga,BAHIA,Condeúba,0.89,2021,others +Caatinga,BAHIA,Condeúba,4.98,2021,others +Caatinga,BAHIA,Correntina,11.0,2021,urban_expansion +Caatinga,BAHIA,Santa Rita de Cássia,3.42,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,1.15,2021,agriculture +Caatinga,BAHIA,Rodelas,5.94,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,18.78,2021,others +Cerrado,BAHIA,Caetité,2.77,2021,agriculture +Caatinga,BAHIA,Guajeru,2.82,2021,others +Caatinga,BAHIA,Morro do Chapéu,1.31,2021,others +Mata Atlântica,BAHIA,Cândido Sales,6.07,2021,agriculture +Cerrado,BAHIA,Barreiras,55.24,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,6.38,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,3.38,2021,agriculture +Caatinga,BAHIA,Brejolândia,1.12,2021,agriculture +Caatinga,BAHIA,Araci,10.28,2021,agriculture +Caatinga,BAHIA,Cotegipe,3.16,2021,agriculture +Caatinga,BAHIA,Cotegipe,13.07,2021,agriculture +Caatinga,BAHIA,Barra da Estiva,3.12,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,22.76,2021,agriculture +Caatinga,BAHIA,Barra,108.22,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,4.32,2021,others +Caatinga,BAHIA,Barra da Estiva,4.11,2021,urban_expansion +Caatinga,BAHIA,Xique-Xique,0.51,2021,agriculture +Caatinga,BAHIA,Paulo Afonso,1.5,2021,others +Caatinga,BAHIA,Cícero Dantas,0.72,2021,others +Mata Atlântica,BAHIA,Itacaré,6.27,2021,agriculture +Mata Atlântica,BAHIA,Teolândia,1.94,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,14.28,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,5.74,2021,agriculture +Caatinga,BAHIA,Carinhanha,3.46,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,6.0,2021,agriculture +Caatinga,BAHIA,Pedro Alexandre,10.32,2021,others +Cerrado,BAHIA,Santa Maria da Vitória,179.02,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,3.21,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,8.45,2021,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,2.89,2021,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,12.58,2021,agriculture +Mata Atlântica,BAHIA,Arataca,0.89,2021,agriculture +Caatinga,BAHIA,Brejolândia,10.08,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,23.69,2021,agriculture +Caatinga,BAHIA,Tremedal,21.42,2021,agriculture +Caatinga,BAHIA,Poções,1.99,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.33,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.91,2021,agriculture +Caatinga,BAHIA,Mansidão,3.4,2021,agriculture +Caatinga,BAHIA,Remanso,3.15,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.18,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,17.46,2021,agriculture +Caatinga,BAHIA,Morpará,34.56,2021,agriculture +Caatinga,BAHIA,Novo Triunfo,2.49,2021,agriculture +Caatinga,BAHIA,Malhada,3.27,2021,others +Caatinga,BAHIA,Jacobina,0.75,2021,others +Caatinga,BAHIA,Licínio de Almeida,3.11,2021,others +Caatinga,BAHIA,Brotas de Macaúbas,1.2,2021,others +Caatinga,BAHIA,Paratinga,23.96,2021,agriculture +Caatinga,BAHIA,Seabra,0.79,2021,others +Caatinga,BAHIA,Brumado,6.87,2021,others +Caatinga,BAHIA,Aracatu,6.1,2021,others +Caatinga,BAHIA,Brumado,4.76,2021,others +Caatinga,BAHIA,Campo Formoso,12.9,2021,others +Caatinga,BAHIA,Casa Nova,7.24,2021,agriculture +Caatinga,BAHIA,Boa Nova,0.22,2021,others +Caatinga,BAHIA,Olindina,17.33,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.46,2021,others +Caatinga,BAHIA,Ribeira do Pombal,15.61,2021,others +Caatinga,BAHIA,Barra,214.34,2021,agriculture +Cerrado,BAHIA,Riacho de Santana,28.66,2021,agriculture +Cerrado,BAHIA,Caetité,18.58,2021,agriculture +Cerrado,BAHIA,Cocos,489.8,2021,agriculture +Caatinga,BAHIA,Buritirama,4.13,2021,agriculture +Cerrado,BAHIA,Correntina,361.02,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,9.25,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,1.89,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,7.1,2021,agriculture +Caatinga,BAHIA,Cotegipe,13.47,2021,agriculture +Caatinga,BAHIA,Morpará,2.3,2021,agriculture +Cerrado,BAHIA,Correntina,1.42,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,2.02,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,0.49,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,49.07,2022,agriculture +Cerrado,BAHIA,São Desidério,1967.16,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,52.22,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,125.07,2022,agriculture +Cerrado,BAHIA,São Desidério,70.34,2022,agriculture +Caatinga,BAHIA,Abaíra,1.89,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,10.94,2022,others +Caatinga,BAHIA,Brejolândia,9.96,2022,agriculture +Cerrado,BAHIA,Coribe,59.2,2022,agriculture +Cerrado,BAHIA,São Desidério,361.36,2022,agriculture +Mata Atlântica,BAHIA,Cardeal da Silva,4.28,2022,agriculture +Mata Atlântica,BAHIA,Caravelas,0.77,2022,agriculture +Mata Atlântica,BAHIA,Nova Viçosa,3.35,2022,agriculture +Cerrado,BAHIA,São Desidério,198.93,2022,agriculture +Caatinga,BAHIA,Matina,11.23,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,0.77,2022,others +Caatinga,BAHIA,Riacho de Santana,1.98,2022,others +Caatinga,BAHIA,Matina,1.04,2022,others +Caatinga,BAHIA,Riacho de Santana,0.68,2022,others +Caatinga,BAHIA,Boquira,6.71,2022,others +Cerrado,BAHIA,Tanque Novo,2.28,2022,agriculture +Caatinga,BAHIA,Pedro Alexandre,76.88,2022,others +Caatinga,BAHIA,Macaúbas,4.41,2022,agriculture +Cerrado,BAHIA,Igaporã,2.85,2022,agriculture +Cerrado,BAHIA,Igaporã,1.12,2022,agriculture +Cerrado,BAHIA,Matina,2.69,2022,agriculture +Caatinga,BAHIA,Barra da Estiva,18.86,2022,others +Caatinga,BAHIA,Ribeira do Amparo,26.01,2022,others +Caatinga,BAHIA,Macajuba,1.24,2022,others +Caatinga,BAHIA,Campo Formoso,9.25,2022,agriculture +Caatinga,BAHIA,Paratinga,2.37,2022,agriculture +Caatinga,BAHIA,Matina,2.34,2022,agriculture +Cerrado,BAHIA,Igaporã,9.86,2022,agriculture +Caatinga,BAHIA,Macaúbas,2.65,2022,others +Caatinga,BAHIA,Santaluz,4.14,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.45,2022,others +Cerrado,BAHIA,São Desidério,1943.17,2022,agriculture +Mata Atlântica,BAHIA,Floresta Azul,7.89,2022,agriculture +Mata Atlântica,BAHIA,Camamu,2.0,2022,agriculture +Mata Atlântica,BAHIA,Ibirataia,0.46,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,2.8,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,4.34,2022,agriculture +Mata Atlântica,BAHIA,Ubatã,0.58,2022,agriculture +Mata Atlântica,BAHIA,Itiruçu,0.31,2022,agriculture +Mata Atlântica,BAHIA,Jandaíra,1.07,2022,agriculture +Cerrado,BAHIA,Caetité,1.93,2022,agriculture +Caatinga,BAHIA,Wanderley,10.17,2022,agriculture +Cerrado,BAHIA,Caetité,19.06,2022,renewable_energy_project +Caatinga,BAHIA,Serra Dourada,12.26,2022,agriculture +Caatinga,BAHIA,Malhada,4.9,2022,others +Caatinga,BAHIA,Campo Formoso,2.17,2022,others +Caatinga,BAHIA,Santa Maria da Vitória,3.9,2022,others +Cerrado,BAHIA,Jaborandi,3.93,2022,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,29.66,2022,agriculture +Caatinga,BAHIA,Piatã,0.64,2022,others +Cerrado,BAHIA,São Desidério,1.9,2022,agriculture +Caatinga,BAHIA,Morpará,3.78,2022,others +Cerrado,BAHIA,Tabocas do Brejo Velho,29.66,2022,agriculture +Caatinga,BAHIA,Brumado,6.7,2022,others +Caatinga,BAHIA,Botuporã,6.31,2022,others +Caatinga,BAHIA,Euclides da Cunha,16.41,2022,agriculture +Caatinga,BAHIA,Rio do Pires,2.51,2022,others +Caatinga,BAHIA,Brumado,6.43,2022,agriculture +Cerrado,BAHIA,Barreiras,15.38,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,227.66,2022,agriculture +Caatinga,BAHIA,Guajeru,3.01,2022,others +Caatinga,BAHIA,Campo Formoso,1.13,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,11.73,2022,others +Caatinga,BAHIA,Buritirama,2.32,2022,others +Caatinga,BAHIA,Monte Santo,13.01,2022,others +Caatinga,BAHIA,Buritirama,2.93,2022,others +Caatinga,BAHIA,Casa Nova,24.21,2022,agriculture +Caatinga,BAHIA,Uauá,23.61,2022,agriculture +Caatinga,BAHIA,Monte Santo,3.16,2022,others +Caatinga,BAHIA,Pilão Arcado,2.42,2022,others +Caatinga,BAHIA,Casa Nova,1.88,2022,others +Caatinga,BAHIA,Condeúba,1.72,2022,others +Caatinga,BAHIA,Santana,23.36,2022,others +Caatinga,BAHIA,Cocos,14.58,2022,urban_expansion +Mata Atlântica,BAHIA,Itabela,1.38,2022,agriculture +Mata Atlântica,BAHIA,Planalto,4.13,2022,agriculture +Mata Atlântica,BAHIA,São Félix,12.99,2022,agriculture +Mata Atlântica,BAHIA,Eunápolis,8.09,2022,agriculture +Mata Atlântica,BAHIA,Guaratinga,7.48,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,37.57,2022,agriculture +Mata Atlântica,BAHIA,Itabela,2.22,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,9.32,2022,agriculture +Caatinga,BAHIA,Correntina,24.14,2019,agriculture +Caatinga,BAHIA,Santana,28.75,2019,agriculture +Cerrado,BAHIA,Baianópolis,8.21,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,34.03,2019,agriculture +Mata Atlântica,BAHIA,Itapé,28.43,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,10.37,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.83,2019,agriculture +Mata Atlântica,BAHIA,Itapebi,12.33,2019,agriculture +Cerrado,BAHIA,Jaborandi,20.14,2019,agriculture +Cerrado,BAHIA,Baianópolis,82.42,2019,agriculture +Mata Atlântica,BAHIA,Itapé,7.84,2019,agriculture +Caatinga,BAHIA,Mundo Novo,4.86,2019,agriculture +Caatinga,BAHIA,Jeremoabo,4.89,2019,agriculture +Cerrado,BAHIA,Correntina,9.22,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,127.22,2019,agriculture +Cerrado,BAHIA,Mansidão,133.6,2019,agriculture +Cerrado,BAHIA,Barreiras,10.44,2019,agriculture +Cerrado,BAHIA,Barreiras,15.11,2019,agriculture +Cerrado,BAHIA,Baianópolis,19.66,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,68.6,2019,agriculture +Caatinga,BAHIA,Iuiu,4.86,2019,agriculture +Cerrado,BAHIA,Correntina,9.17,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,14.12,2019,agriculture +Cerrado,BAHIA,Cocos,1455.05,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,37.49,2019,agriculture +Cerrado,BAHIA,Barreiras,148.95,2019,agriculture +Mata Atlântica,BAHIA,Itanhém,3.08,2019,agriculture +Mata Atlântica,BAHIA,Guaratinga,10.37,2019,agriculture +Mata Atlântica,BAHIA,Arataca,4.38,2019,agriculture +Mata Atlântica,BAHIA,Valença,2.72,2019,agriculture +Mata Atlântica,BAHIA,Camacan,2.7,2019,agriculture +Mata Atlântica,BAHIA,Alcobaça,14.64,2019,urban_expansion +Mata Atlântica,BAHIA,Alcobaça,4.14,2019,agriculture +Mata Atlântica,BAHIA,Itabuna,6.45,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,53.37,2020,agriculture +Caatinga,BAHIA,Angical,19.48,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,24.1,2020,agriculture +Cerrado,BAHIA,Jaborandi,281.03,2020,agriculture +Cerrado,BAHIA,São Desidério,34.59,2020,agriculture +Mata Atlântica,BAHIA,Jandaíra,8.41,2020,agriculture +Caatinga,BAHIA,Cícero Dantas,67.52,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,2.38,2020,urban_expansion +Mata Atlântica,BAHIA,Santa Cruz Cabrália,6.64,2020,agriculture +Mata Atlântica,BAHIA,Maraú,4.39,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,8.15,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,5.83,2020,agriculture +Mata Atlântica,BAHIA,Camamu,2.93,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,2.02,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,4.72,2020,agriculture +Mata Atlântica,BAHIA,Ibirataia,1.16,2020,agriculture +Mata Atlântica,BAHIA,Guaratinga,1.13,2020,agriculture +Mata Atlântica,BAHIA,Jucuruçu,9.07,2020,agriculture +Mata Atlântica,BAHIA,Jucuruçu,4.4,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,31.89,2020,agriculture +Caatinga,BAHIA,Mulungu do Morro,1.81,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,13.14,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,11.27,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,5.85,2020,agriculture +Caatinga,BAHIA,Barra,453.44,2020,agriculture +Caatinga,BAHIA,Milagres,10.72,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,22.48,2020,agriculture +Caatinga,BAHIA,Urandi,6.54,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,19.85,2020,agriculture +Caatinga,BAHIA,Nova Soure,5.63,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,17.78,2020,agriculture +Caatinga,BAHIA,Itapicuru,17.98,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,74.98,2020,agriculture +Caatinga,BAHIA,Jaborandi,6.08,2020,agriculture +Cerrado,BAHIA,Jaborandi,615.15,2020,agriculture +Cerrado,BAHIA,São Desidério,872.04,2020,agriculture +Mata Atlântica,BAHIA,Maracás,3.23,2020,agriculture +Caatinga,BAHIA,Correntina,4.85,2020,agriculture +Caatinga,BAHIA,Morro do Chapéu,5.15,2020,agriculture +Cerrado,BAHIA,São Desidério,14.58,2020,agriculture +Caatinga,BAHIA,Coribe,4.1,2020,agriculture +Caatinga,BAHIA,Mansidão,4.18,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,4.89,2020,agriculture +Caatinga,BAHIA,Lagoa Real,5.86,2020,agriculture +Caatinga,BAHIA,Tanque Novo,12.81,2020,agriculture +Caatinga,BAHIA,Brejolândia,4.4,2020,agriculture +Caatinga,BAHIA,Serra Dourada,2.33,2020,agriculture +Caatinga,BAHIA,Mansidão,16.05,2020,agriculture +Mata Atlântica,BAHIA,Planalto,16.97,2020,agriculture +Caatinga,BAHIA,Rio de Contas,2.26,2020,agriculture +Caatinga,BAHIA,Ibicoara,4.25,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,189.12,2020,agriculture +Caatinga,BAHIA,Manoel Vitorino,24.85,2020,agriculture +Caatinga,BAHIA,Brejolândia,59.32,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.55,2020,agriculture +Caatinga,BAHIA,Licínio de Almeida,6.08,2020,agriculture +Cerrado,BAHIA,Caetité,0.96,2020,agriculture +Caatinga,BAHIA,Aracatu,18.38,2020,agriculture +Caatinga,BAHIA,Anagé,23.4,2020,agriculture +Caatinga,BAHIA,Conceição do Coité,5.4,2020,agriculture +Caatinga,BAHIA,Mucugê,16.04,2020,agriculture +Cerrado,BAHIA,Correntina,14.01,2020,agriculture +Cerrado,BAHIA,Barreiras,13.29,2020,agriculture +Caatinga,BAHIA,Angical,34.33,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,458.98,2020,agriculture +Caatinga,BAHIA,Santana,16.64,2020,agriculture +Mata Atlântica,BAHIA,Tremedal,15.93,2020,agriculture +Caatinga,BAHIA,Condeúba,4.75,2020,agriculture +Mata Atlântica,BAHIA,Macarani,15.93,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,8.98,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,9.01,2020,agriculture +Caatinga,BAHIA,Jeremoabo,178.94,2020,agriculture +Mata Atlântica,BAHIA,Pau Brasil,12.73,2020,agriculture +Caatinga,BAHIA,Wanderley,118.89,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,28.44,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,6.03,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,2.17,2020,agriculture +Caatinga,BAHIA,Buritirama,3.37,2020,agriculture +Caatinga,BAHIA,Malhada,24.43,2020,agriculture +Caatinga,BAHIA,Morpará,27.89,2020,agriculture +Caatinga,BAHIA,Ibitiara,5.18,2020,agriculture +Mata Atlântica,BAHIA,Jiquiriçá,5.43,2020,agriculture +Mata Atlântica,BAHIA,Ipiaú,21.99,2020,agriculture +Mata Atlântica,BAHIA,Planalto,3.88,2020,agriculture +Caatinga,BAHIA,Santanópolis,0.57,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.11,2020,agriculture +Caatinga,BAHIA,Paramirim,0.51,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,1.55,2020,agriculture +Caatinga,BAHIA,Ibitiara,1.31,2020,agriculture +Caatinga,BAHIA,Itaeté,16.31,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,1.98,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,2.08,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,6.48,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.89,2020,agriculture +Mata Atlântica,BAHIA,Porto Seguro,41.11,2020,agriculture +Mata Atlântica,BAHIA,Gongogi,26.02,2020,agriculture +Cerrado,BAHIA,São Desidério,326.4,2020,agriculture +Cerrado,BAHIA,Lagoa Real,1.82,2020,agriculture +Caatinga,BAHIA,Tanhaçu,5.03,2020,agriculture +Caatinga,BAHIA,Brumado,10.84,2020,agriculture +Caatinga,BAHIA,Casa Nova,6.39,2020,agriculture +Caatinga,BAHIA,Iaçu,249.89,2020,agriculture +Caatinga,BAHIA,Rio do Pires,2.59,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,1.63,2020,agriculture +Caatinga,BAHIA,Ibicoara,6.8,2020,agriculture +Mata Atlântica,BAHIA,Una,30.78,2021,agriculture +Mata Atlântica,BAHIA,Maraú,4.57,2021,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,9.24,2021,agriculture +Mata Atlântica,BAHIA,Camacan,2.71,2021,agriculture +Mata Atlântica,BAHIA,Nova Ibiá,3.69,2021,agriculture +Mata Atlântica,BAHIA,Barra do Rocha,4.52,2021,agriculture +Mata Atlântica,BAHIA,Itagibá,6.31,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,5.67,2021,agriculture +Caatinga,BAHIA,Caetité,0.83,2021,agriculture +Caatinga,BAHIA,Canudos,2.71,2021,agriculture +Caatinga,BAHIA,Barra,1.85,2021,agriculture +Caatinga,BAHIA,São Gonçalo dos Campos,4.59,2021,agriculture +Cerrado,BAHIA,Caetité,3.64,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,2.65,2021,agriculture +Mata Atlântica,BAHIA,Mascote,9.31,2021,agriculture +Caatinga,BAHIA,Angical,10.34,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,17.28,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,5.33,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,34.91,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,6.65,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.67,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,5.21,2021,agriculture +Caatinga,BAHIA,Carinhanha,35.88,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,23.94,2021,agriculture +Caatinga,BAHIA,Mundo Novo,3.93,2021,agriculture +Caatinga,BAHIA,Contendas do Sincorá,3.37,2021,agriculture +Caatinga,BAHIA,Casa Nova,6.69,2021,agriculture +Caatinga,BAHIA,Ibipitanga,1.0,2021,agriculture +Caatinga,BAHIA,Ibipitanga,2.11,2021,agriculture +Caatinga,BAHIA,Ibipitanga,8.94,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,4.94,2021,agriculture +Caatinga,BAHIA,Novo Horizonte,2.66,2021,agriculture +Caatinga,BAHIA,Boninal,0.8,2021,agriculture +Cerrado,BAHIA,São Desidério,4.59,2021,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,1.29,2021,agriculture +Caatinga,BAHIA,Canudos,0.82,2021,agriculture +Caatinga,BAHIA,Correntina,0.89,2021,agriculture +Caatinga,BAHIA,Angical,6.53,2021,agriculture +Caatinga,BAHIA,Paratinga,1.06,2021,agriculture +Caatinga,BAHIA,Uibaí,8.02,2021,agriculture +Cerrado,BAHIA,Baianópolis,341.8,2021,agriculture +Caatinga,BAHIA,Condeúba,3.76,2021,agriculture +Caatinga,BAHIA,Jacaraci,9.1,2021,agriculture +Caatinga,BAHIA,Mortugaba,5.21,2021,agriculture +Caatinga,BAHIA,Wagner,1.15,2021,agriculture +Caatinga,BAHIA,Ribeira do Pombal,0.51,2021,agriculture +Caatinga,BAHIA,Crisópolis,227.1,2021,agriculture +Mata Atlântica,BAHIA,Aporá,15.8,2021,agriculture +Mata Atlântica,BAHIA,Taperoá,1.07,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,576.86,2021,agriculture +Caatinga,BAHIA,Santaluz,3.71,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,13.61,2021,agriculture +Caatinga,BAHIA,Matina,18.33,2021,agriculture +Caatinga,BAHIA,Heliópolis,0.78,2021,agriculture +Caatinga,BAHIA,Brumado,1.52,2021,others +Caatinga,BAHIA,Seabra,3.17,2021,others +Mata Atlântica,BAHIA,Vitória da Conquista,22.78,2021,agriculture +Mata Atlântica,BAHIA,Mata de São João,3.9,2021,agriculture +Cerrado,BAHIA,Baianópolis,39.37,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,30.3,2021,agriculture +Caatinga,BAHIA,Carinhanha,15.33,2021,agriculture +Mata Atlântica,BAHIA,Valença,2.24,2021,agriculture +Caatinga,BAHIA,Brumado,8.93,2021,agriculture +Caatinga,BAHIA,Sítio do Mato,3.93,2021,agriculture +Cerrado,BAHIA,Correntina,5.03,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.75,2020,others +Caatinga,BAHIA,Cotegipe,0.83,2020,agriculture +Cerrado,BAHIA,São Desidério,1.73,2020,agriculture +Cerrado,BAHIA,São Desidério,8.49,2020,agriculture +Cerrado,BAHIA,São Desidério,8.67,2020,agriculture +Caatinga,BAHIA,Urandi,1.53,2020,others +Cerrado,BAHIA,Riachão das Neves,6.18,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,32.9,2020,agriculture +Caatinga,BAHIA,Barra,0.31,2020,others +Caatinga,BAHIA,Wanderley,16.45,2020,others +Cerrado,BAHIA,Cotegipe,15.59,2020,agriculture +Caatinga,BAHIA,Barra,5.44,2020,others +Caatinga,BAHIA,Barra,1.27,2020,others +Caatinga,BAHIA,Barra,1.17,2020,others +Caatinga,BAHIA,Barra,2.03,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,2.96,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.01,2020,agriculture +Caatinga,BAHIA,Cotegipe,3.34,2020,others +Caatinga,BAHIA,Wanderley,2.49,2020,agriculture +Cerrado,BAHIA,Mansidão,4.93,2020,agriculture +Caatinga,BAHIA,Mansidão,2.65,2020,others +Caatinga,BAHIA,Cotegipe,23.03,2020,agriculture +Cerrado,BAHIA,Canápolis,1.27,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,1.37,2020,agriculture +Cerrado,BAHIA,São Desidério,1.24,2020,agriculture +Caatinga,BAHIA,Coribe,10.88,2020,agriculture +Cerrado,BAHIA,São Desidério,0.38,2020,agriculture +Cerrado,BAHIA,São Desidério,5.71,2020,agriculture +Cerrado,BAHIA,Cristópolis,5.54,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,1.07,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,9.45,2020,agriculture +Cerrado,BAHIA,Baianópolis,1.16,2020,agriculture +Caatinga,BAHIA,Correntina,5.73,2020,agriculture +Cerrado,BAHIA,Correntina,1.02,2020,agriculture +Caatinga,BAHIA,Buritirama,2.69,2020,others +Caatinga,BAHIA,Buritirama,2.08,2020,others +Caatinga,BAHIA,Buritirama,2.69,2020,agriculture +Caatinga,BAHIA,Mansidão,2.0,2020,others +Caatinga,BAHIA,Mansidão,4.19,2020,others +Caatinga,BAHIA,Pilão Arcado,0.84,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.79,2020,others +Cerrado,BAHIA,Formosa do Rio Preto,39.89,2020,agriculture +Caatinga,BAHIA,Angical,10.3,2020,others +Cerrado,BAHIA,Catolândia,12.71,2020,agriculture +Cerrado,BAHIA,Barreiras,6.34,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,27.35,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.86,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,22.46,2020,agriculture +Cerrado,BAHIA,Coribe,4.76,2020,agriculture +Caatinga,BAHIA,Carinhanha,2.91,2020,agriculture +Cerrado,BAHIA,Canápolis,1.24,2021,agriculture +Caatinga,BAHIA,Angical,2.94,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.84,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,2.77,2021,agriculture +Caatinga,BAHIA,Anagé,34.39,2021,others +Caatinga,BAHIA,Jeremoabo,5.11,2021,others +Caatinga,BAHIA,Riacho de Santana,18.73,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,0.83,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,4.14,2021,agriculture +Cerrado,BAHIA,Caetité,1.09,2021,others +Caatinga,BAHIA,Morro do Chapéu,2.13,2021,others +Mata Atlântica,BAHIA,Ubaíra,0.31,2021,agriculture +Caatinga,BAHIA,Ichu,10.75,2021,others +Mata Atlântica,BAHIA,Itabuna,5.56,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,26.75,2021,agriculture +Caatinga,BAHIA,Cocos,42.35,2021,agriculture +Mata Atlântica,BAHIA,Esplanada,56.24,2021,agriculture +Mata Atlântica,BAHIA,Esplanada,2.41,2021,agriculture +Mata Atlântica,BAHIA,Iguaí,3.49,2021,agriculture +Caatinga,BAHIA,Santa Brígida,50.93,2021,agriculture +Caatinga,BAHIA,Angical,7.3,2021,agriculture +Caatinga,BAHIA,Lajedinho,2.14,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,98.54,2021,agriculture +Mata Atlântica,BAHIA,São José da Vitória,17.69,2021,agriculture +Caatinga,BAHIA,Lagoa Real,2.26,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,0.63,2021,agriculture +Caatinga,BAHIA,Sítio do Quinto,23.76,2021,others +Caatinga,BAHIA,Cícero Dantas,0.94,2021,others +Caatinga,BAHIA,Jeremoabo,54.27,2021,others +Caatinga,BAHIA,Ribeira do Pombal,5.73,2021,others +Cerrado,BAHIA,Jaborandi,406.92,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,9.58,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,4.57,2021,agriculture +Caatinga,BAHIA,Carinhanha,28.85,2021,others +Caatinga,BAHIA,Lajedinho,19.26,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,91.71,2021,agriculture +Caatinga,BAHIA,Cícero Dantas,89.38,2021,agriculture +Mata Atlântica,BAHIA,Camacan,0.62,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,9.17,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,0.39,2021,agriculture +Mata Atlântica,BAHIA,Camacan,4.45,2021,agriculture +Caatinga,BAHIA,Serra do Ramalho,289.68,2021,agriculture +Caatinga,BAHIA,Condeúba,6.95,2021,agriculture +Cerrado,BAHIA,Baianópolis,23.55,2021,agriculture +Mata Atlântica,BAHIA,Alagoinhas,9.24,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,2.99,2021,agriculture +Caatinga,BAHIA,Caetité,10.87,2021,others +Caatinga,BAHIA,Mansidão,2.78,2021,agriculture +Caatinga,BAHIA,Campo Alegre de Lourdes,1.15,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,10.96,2021,agriculture +Caatinga,BAHIA,Cotegipe,8.77,2021,agriculture +Caatinga,BAHIA,Jeremoabo,1.2,2021,others +Caatinga,BAHIA,Jeremoabo,2.92,2021,others +Caatinga,BAHIA,Coribe,3.12,2021,others +Caatinga,BAHIA,Santana,262.99,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,192.23,2021,others +Caatinga,BAHIA,Morro do Chapéu,10.46,2021,others +Caatinga,BAHIA,Canudos,13.04,2021,others +Cerrado,BAHIA,São Desidério,1.34,2021,agriculture +Caatinga,BAHIA,Angical,17.41,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,102.2,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,3.76,2021,others +Caatinga,BAHIA,Itaguaçu da Bahia,10.85,2021,others +Caatinga,BAHIA,Palmeiras,2.66,2021,agriculture +Caatinga,BAHIA,Anagé,2.62,2021,others +Caatinga,BAHIA,Malhada de Pedras,29.41,2021,others +Caatinga,BAHIA,Casa Nova,5.83,2021,others +Caatinga,BAHIA,Casa Nova,9.96,2021,others +Mata Atlântica,BAHIA,Rio Real,20.27,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,46.84,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.48,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,31.88,2021,agriculture +Caatinga,BAHIA,Cansanção,18.52,2021,agriculture +Caatinga,BAHIA,Contendas do Sincorá,10.19,2021,agriculture +Caatinga,BAHIA,Tremedal,3.51,2021,others +Caatinga,BAHIA,Jacaraci,3.89,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,58.25,2021,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,4.5,2021,agriculture +Cerrado,BAHIA,Correntina,1.08,2021,agriculture +Mata Atlântica,BAHIA,Prado,1.06,2022,agriculture +Mata Atlântica,BAHIA,Itapetinga,2.75,2022,agriculture +Mata Atlântica,BAHIA,Guaratinga,2.13,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,7.49,2022,agriculture +Mata Atlântica,BAHIA,Pau Brasil,20.98,2022,agriculture +Mata Atlântica,BAHIA,Guaratinga,6.61,2022,agriculture +Mata Atlântica,BAHIA,Caatiba,2.31,2022,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.26,2022,agriculture +Cerrado,BAHIA,Correntina,60.48,2022,agriculture +Cerrado,BAHIA,Barreiras,1024.83,2022,agriculture +Cerrado,BAHIA,Barreiras,172.74,2022,agriculture +Cerrado,BAHIA,São Desidério,816.38,2022,agriculture +Caatinga,BAHIA,Brejolândia,5.84,2022,agriculture +Cerrado,BAHIA,São Desidério,9.54,2022,agriculture +Caatinga,BAHIA,Ibotirama,48.98,2022,agriculture +Caatinga,BAHIA,Brejolândia,5.13,2022,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,2.36,2022,agriculture +Cerrado,BAHIA,São Desidério,574.1,2022,agriculture +Mata Atlântica,BAHIA,Entre Rios,17.44,2022,agriculture +Mata Atlântica,BAHIA,Nilo Peçanha,1.92,2022,agriculture +Mata Atlântica,BAHIA,Ipecaetá,18.64,2022,agriculture +Mata Atlântica,BAHIA,Itabela,2.08,2022,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,30.53,2022,others +Caatinga,BAHIA,Paratinga,1.67,2022,others +Caatinga,BAHIA,Riacho de Santana,2.7,2022,others +Caatinga,BAHIA,Itapicuru,219.21,2022,others +Cerrado,BAHIA,Igaporã,1.01,2022,agriculture +Caatinga,BAHIA,Boquira,2.86,2022,others +Caatinga,BAHIA,Rio de Contas,16.29,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.24,2022,others +Caatinga,BAHIA,Rio do Pires,22.77,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,2.22,2022,agriculture +Cerrado,BAHIA,Igaporã,0.27,2022,agriculture +Caatinga,BAHIA,Ruy Barbosa,27.61,2022,agriculture +Caatinga,BAHIA,Matina,1.18,2022,agriculture +Caatinga,BAHIA,Matina,4.06,2022,agriculture +Caatinga,BAHIA,Sátiro Dias,247.72,2022,agriculture +Caatinga,BAHIA,Uauá,1.94,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.47,2022,others +Caatinga,BAHIA,Contendas do Sincorá,1.07,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.65,2022,agriculture +Mata Atlântica,BAHIA,Ubaíra,10.47,2022,agriculture +Mata Atlântica,BAHIA,Jequié,15.42,2022,agriculture +Cerrado,BAHIA,Baianópolis,33.39,2022,agriculture +Mata Atlântica,BAHIA,Itapetinga,4.69,2022,agriculture +Mata Atlântica,BAHIA,Varzedo,1.02,2022,agriculture +Mata Atlântica,BAHIA,Boa Nova,1.72,2022,agriculture +Mata Atlântica,BAHIA,Valença,0.75,2022,agriculture +Mata Atlântica,BAHIA,Belmonte,1.19,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,7.91,2022,agriculture +Caatinga,BAHIA,Irecê,12.73,2022,agriculture +Cerrado,BAHIA,Caetité,8.74,2022,agriculture +Caatinga,BAHIA,Ibiassucê,2.44,2022,agriculture +Cerrado,BAHIA,Cocos,0.98,2022,agriculture +Caatinga,BAHIA,Coribe,31.45,2022,others +Caatinga,BAHIA,Cotegipe,32.72,2022,others +Cerrado,BAHIA,Santa Maria da Vitória,6.92,2022,agriculture +Caatinga,BAHIA,Brumado,7.29,2022,others +Caatinga,BAHIA,Santa Brígida,41.66,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,7.39,2022,agriculture +Caatinga,BAHIA,Pilão Arcado,0.71,2022,others +Caatinga,BAHIA,Ribeira do Pombal,3.7,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,5.29,2022,others +Caatinga,BAHIA,Santana,36.48,2022,agriculture +Caatinga,BAHIA,Muquém do São Francisco,16.34,2022,agriculture +Caatinga,BAHIA,Novo Triunfo,49.08,2022,others +Caatinga,BAHIA,Miguel Calmon,7.21,2022,agriculture +Caatinga,BAHIA,Morpará,2.78,2022,others +Caatinga,BAHIA,Gentio do Ouro,5.69,2022,renewable_energy_project +Cerrado,BAHIA,São Desidério,212.94,2022,agriculture +Cerrado,BAHIA,Barreiras,85.79,2022,agriculture +Caatinga,BAHIA,Aracatu,2.39,2022,others +Caatinga,BAHIA,Monte Santo,1.86,2022,others +Caatinga,BAHIA,Pilão Arcado,0.83,2022,others +Caatinga,BAHIA,Tanque Novo,2.79,2022,others +Caatinga,BAHIA,Buritirama,1.02,2022,others +Caatinga,BAHIA,Uauá,70.81,2022,others +Caatinga,BAHIA,Buritirama,1.02,2022,others +Caatinga,BAHIA,Coronel João Sá,10.21,2022,others +Caatinga,BAHIA,Santana,5.56,2022,others +Caatinga,BAHIA,Matina,4.98,2022,others +Caatinga,BAHIA,Coribe,18.68,2022,others +Caatinga,BAHIA,Feira da Mata,6.32,2022,agriculture +Mata Atlântica,BAHIA,Canavieiras,9.32,2022,agriculture +Mata Atlântica,BAHIA,Itapetinga,103.74,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,18.12,2022,agriculture +Caatinga,BAHIA,Wanderley,1.1,2022,others +Caatinga,BAHIA,Itapicuru,2.31,2022,agriculture +Caatinga,BAHIA,Itapicuru,2.81,2022,agriculture +Caatinga,BAHIA,Itapicuru,8.81,2022,others +Mata Atlântica,BAHIA,Ouriçangas,8.95,2022,agriculture +Cerrado,BAHIA,Cristópolis,7.1,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,132.74,2022,agriculture +Mata Atlântica,BAHIA,Conde,6.06,2019,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.37,2019,agriculture +Cerrado,BAHIA,Baianópolis,29.95,2019,agriculture +Caatinga,BAHIA,Angical,4.39,2019,agriculture +Cerrado,BAHIA,Baianópolis,12.85,2019,agriculture +Caatinga,BAHIA,Muquém do São Francisco,3.46,2019,agriculture +Cerrado,BAHIA,Jaborandi,70.96,2019,agriculture +Caatinga,BAHIA,Feira da Mata,17.55,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,200.47,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,192.62,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,23.42,2019,agriculture +Caatinga,BAHIA,Cocos,6.38,2019,agriculture +Caatinga,BAHIA,Mucugê,8.9,2019,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,37.63,2019,agriculture +Cerrado,BAHIA,Baianópolis,4.93,2019,agriculture +Cerrado,BAHIA,Barreiras,97.04,2019,agriculture +Cerrado,BAHIA,Serra Dourada,1.79,2019,agriculture +Cerrado,BAHIA,Baianópolis,7.58,2019,agriculture +Caatinga,BAHIA,Malhada,10.65,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,86.61,2019,agriculture +Cerrado,BAHIA,Riachão das Neves,17.22,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,1095.76,2019,agriculture +Caatinga,BAHIA,Cotegipe,25.5,2019,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,59.98,2019,agriculture +Caatinga,BAHIA,Coribe,29.8,2019,agriculture +Cerrado,BAHIA,Barreiras,230.74,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,214.82,2019,agriculture +Mata Atlântica,BAHIA,Coaraci,26.78,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,2.79,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,7.95,2019,agriculture +Mata Atlântica,BAHIA,Encruzilhada,2.01,2019,agriculture +Mata Atlântica,BAHIA,Gandu,4.7,2019,agriculture +Mata Atlântica,BAHIA,Camamu,1.96,2019,agriculture +Mata Atlântica,BAHIA,Itororó,2.25,2019,agriculture +Mata Atlântica,BAHIA,Barro Preto,3.1,2019,agriculture +Mata Atlântica,BAHIA,Coaraci,2.17,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,7.2,2019,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,52.83,2020,agriculture +Caatinga,BAHIA,Santana,22.36,2020,agriculture +Cerrado,BAHIA,Baianópolis,4.95,2020,agriculture +Cerrado,BAHIA,Santana,2.38,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,1.49,2020,agriculture +Mata Atlântica,BAHIA,Cardeal da Silva,24.37,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,1.53,2020,agriculture +Mata Atlântica,BAHIA,Valença,3.45,2020,agriculture +Mata Atlântica,BAHIA,Uruçuca,10.33,2020,agriculture +Mata Atlântica,BAHIA,Valença,1.6,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,1.25,2020,agriculture +Mata Atlântica,BAHIA,Ituberá,1.63,2020,agriculture +Mata Atlântica,BAHIA,Itacaré,2.17,2020,agriculture +Mata Atlântica,BAHIA,Itabuna,8.93,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,3.74,2020,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,1.03,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,1.69,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,5.83,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,5.49,2020,agriculture +Mata Atlântica,BAHIA,Esplanada,0.84,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,7.47,2020,agriculture +Caatinga,BAHIA,Nova Soure,20.23,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,20.38,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,13.71,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,99.77,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,12.32,2020,agriculture +Caatinga,BAHIA,Santaluz,4.07,2020,agriculture +Caatinga,BAHIA,Novo Horizonte,6.23,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,8.42,2020,agriculture +Mata Atlântica,BAHIA,Itagibá,50.98,2020,agriculture +Mata Atlântica,BAHIA,Una,14.51,2020,agriculture +Mata Atlântica,BAHIA,Itapetinga,5.5,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,23.25,2020,agriculture +Mata Atlântica,BAHIA,Inhambupe,19.57,2020,agriculture +Mata Atlântica,BAHIA,Una,4.0,2020,agriculture +Mata Atlântica,BAHIA,Itabuna,14.44,2020,agriculture +Caatinga,BAHIA,Cotegipe,20.48,2020,agriculture +Mata Atlântica,BAHIA,Camacan,3.68,2020,agriculture +Caatinga,BAHIA,Glória,17.02,2020,agriculture +Caatinga,BAHIA,Mansidão,2.85,2020,agriculture +Cerrado,BAHIA,São Desidério,2.03,2020,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,7.72,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,4.63,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,3.07,2020,agriculture +Caatinga,BAHIA,Condeúba,7.31,2020,agriculture +Caatinga,BAHIA,Anagé,25.38,2020,agriculture +Cerrado,BAHIA,Correntina,4.65,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,4.08,2020,agriculture +Caatinga,BAHIA,Morpará,16.24,2020,agriculture +Caatinga,BAHIA,Brejolândia,9.8,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,15.68,2020,agriculture +Caatinga,BAHIA,Ibitiara,3.01,2020,agriculture +Caatinga,BAHIA,Itaberaba,8.49,2020,agriculture +Caatinga,BAHIA,Brumado,19.98,2020,agriculture +Caatinga,BAHIA,Cotegipe,20.59,2020,agriculture +Caatinga,BAHIA,Jussiape,0.71,2020,agriculture +Caatinga,BAHIA,Casa Nova,0.06,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,4.27,2020,agriculture +Caatinga,BAHIA,Belo Campo,2.54,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,6.7,2020,agriculture +Caatinga,BAHIA,Brejolândia,5.22,2020,agriculture +Cerrado,BAHIA,Barreiras,12.63,2020,agriculture +Mata Atlântica,BAHIA,Una,13.13,2020,agriculture +Caatinga,BAHIA,Serra Dourada,8.77,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,11.48,2020,agriculture +Cerrado,BAHIA,São Desidério,2.97,2020,agriculture +Caatinga,BAHIA,Lençóis,2.86,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,2.68,2020,agriculture +Caatinga,BAHIA,Ibiassucê,5.11,2020,agriculture +Caatinga,BAHIA,Macaúbas,4.06,2020,agriculture +Caatinga,BAHIA,Angical,10.73,2020,agriculture +Mata Atlântica,BAHIA,Cachoeira,33.12,2020,agriculture +Mata Atlântica,BAHIA,Itagi,11.27,2020,agriculture +Mata Atlântica,BAHIA,Itororó,2.53,2020,agriculture +Cerrado,BAHIA,Wanderley,1.18,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,15.87,2020,agriculture +Caatinga,BAHIA,Serrinha,0.39,2020,agriculture +Caatinga,BAHIA,Aracatu,3.74,2020,agriculture +Caatinga,BAHIA,Rio do Pires,2.05,2020,agriculture +Caatinga,BAHIA,Tremedal,7.26,2020,agriculture +Caatinga,BAHIA,Caturama,12.46,2020,agriculture +Caatinga,BAHIA,Barra,10.76,2020,agriculture +Caatinga,BAHIA,Cocos,6.37,2020,agriculture +Cerrado,BAHIA,Cotegipe,5.41,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,23.67,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,9.87,2020,agriculture +Mata Atlântica,BAHIA,Itamari,10.07,2020,agriculture +Mata Atlântica,BAHIA,Jucuruçu,3.09,2020,agriculture +Caatinga,BAHIA,Brumado,3.61,2020,agriculture +Caatinga,BAHIA,Brumado,3.92,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.28,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,3.26,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,4.07,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,39.23,2021,agriculture +Mata Atlântica,BAHIA,Camamu,6.71,2021,agriculture +Mata Atlântica,BAHIA,Itaquara,103.53,2021,agriculture +Mata Atlântica,BAHIA,Alcobaça,24.42,2021,agriculture +Mata Atlântica,BAHIA,Gandu,2.03,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,0.83,2021,agriculture +Caatinga,BAHIA,Barra,4.85,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,0.61,2021,agriculture +Caatinga,BAHIA,Feira da Mata,5.83,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,12.18,2021,agriculture +Cerrado,BAHIA,Correntina,19.2,2021,agriculture +Cerrado,BAHIA,Baianópolis,9.15,2021,agriculture +Caatinga,BAHIA,Angical,5.18,2021,agriculture +Mata Atlântica,BAHIA,Una,3.33,2021,agriculture +Mata Atlântica,BAHIA,Ituberá,1.85,2021,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,6.15,2021,agriculture +Mata Atlântica,BAHIA,Ilhéus,4.96,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,9.66,2021,agriculture +Caatinga,BAHIA,Piritiba,2.85,2021,agriculture +Cerrado,BAHIA,São Desidério,354.91,2021,agriculture +Cerrado,BAHIA,Barreiras,28.58,2021,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,1.49,2021,agriculture +Mata Atlântica,BAHIA,Santa Cruz da Vitória,1.15,2021,agriculture +Caatinga,BAHIA,Boninal,2.78,2021,agriculture +Caatinga,BAHIA,Seabra,3.83,2021,agriculture +Caatinga,BAHIA,Sento Sé,1.19,2021,agriculture +Caatinga,BAHIA,Lagoa Real,1.86,2021,agriculture +Caatinga,BAHIA,Ibicoara,2.7,2021,agriculture +Caatinga,BAHIA,Seabra,3.46,2021,agriculture +Caatinga,BAHIA,Cotegipe,1.49,2021,agriculture +Caatinga,BAHIA,Utinga,2.68,2021,agriculture +Caatinga,BAHIA,Saúde,2.69,2021,agriculture +Caatinga,BAHIA,Rafael Jambeiro,39.66,2021,agriculture +Caatinga,BAHIA,Rafael Jambeiro,1.03,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,35.51,2021,agriculture +Cerrado,BAHIA,Coribe,4.37,2021,agriculture +Caatinga,BAHIA,Jeremoabo,2.16,2021,agriculture +Mata Atlântica,BAHIA,Belmonte,7.06,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,4.48,2021,agriculture +Caatinga,BAHIA,Jeremoabo,117.59,2021,agriculture +Mata Atlântica,BAHIA,Água Fria,48.56,2021,agriculture +Caatinga,BAHIA,Iaçu,1.36,2021,agriculture +Caatinga,BAHIA,Glória,0.67,2021,agriculture +Caatinga,BAHIA,Sátiro Dias,30.4,2021,others +Caatinga,BAHIA,Itaeté,76.06,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,68.83,2021,agriculture +Cerrado,BAHIA,São Desidério,119.52,2021,agriculture +Mata Atlântica,BAHIA,Camamu,6.79,2021,agriculture +Caatinga,BAHIA,Ibicoara,4.46,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,2.05,2021,urban_expansion +Caatinga,BAHIA,Carinhanha,2.68,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,69.52,2021,agriculture +Cerrado,BAHIA,Cotegipe,2.28,2020,agriculture +Caatinga,BAHIA,Malhada,7.26,2020,others +Caatinga,BAHIA,Carinhanha,0.95,2020,agriculture +Caatinga,BAHIA,Barra,1.04,2020,others +Cerrado,BAHIA,Urandi,4.13,2020,agriculture +Caatinga,BAHIA,Angical,0.77,2020,others +Caatinga,BAHIA,Barra,1.25,2020,agriculture +Caatinga,BAHIA,Buritirama,1.28,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,2.38,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.99,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,24.84,2020,agriculture +Caatinga,BAHIA,Barra,1.15,2020,agriculture +Caatinga,BAHIA,Mansidão,3.41,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,5.23,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,2.38,2020,agriculture +Caatinga,BAHIA,Malhada,2.14,2020,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,3.18,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,2.67,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,3.06,2020,agriculture +Cerrado,BAHIA,Santa Maria da Vitória,1.1,2020,agriculture +Cerrado,BAHIA,Santana,3.03,2020,agriculture +Cerrado,BAHIA,São Desidério,27.18,2020,agriculture +Cerrado,BAHIA,São Desidério,1.88,2020,agriculture +Cerrado,BAHIA,Catolândia,1.03,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,4.16,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,1.69,2020,agriculture +Cerrado,BAHIA,Cristópolis,4.42,2020,agriculture +Cerrado,BAHIA,Jaborandi,0.55,2020,agriculture +Caatinga,BAHIA,Serra Dourada,2.94,2020,agriculture +Caatinga,BAHIA,Correntina,0.57,2020,agriculture +Cerrado,BAHIA,Correntina,1.28,2020,agriculture +Cerrado,BAHIA,Baianópolis,19.19,2020,agriculture +Caatinga,BAHIA,Buritirama,1.48,2020,others +Caatinga,BAHIA,Buritirama,1.97,2020,others +Caatinga,BAHIA,Buritirama,4.34,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.89,2020,agriculture +Caatinga,BAHIA,Buritirama,0.66,2020,agriculture +Caatinga,BAHIA,Pilão Arcado,0.91,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,5.95,2020,others +Cerrado,BAHIA,Formosa do Rio Preto,1.42,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,18.25,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,4.28,2020,agriculture +Cerrado,BAHIA,Barreiras,3.39,2020,agriculture +Cerrado,BAHIA,Barreiras,7.37,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,5.91,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,8.85,2020,agriculture +Cerrado,BAHIA,Barreiras,2.24,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,9.66,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,1.63,2020,agriculture +Caatinga,BAHIA,Cocos,33.96,2020,others +Caatinga,BAHIA,Carinhanha,8.29,2020,agriculture +Caatinga,BAHIA,Carinhanha,27.9,2020,agriculture +Caatinga,BAHIA,Coribe,2.07,2020,agriculture +Caatinga,BAHIA,Coribe,2.74,2020,agriculture +Caatinga,BAHIA,Lagoa Real,1.18,2021,others +Caatinga,BAHIA,Cafarnaum,8.52,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,14.2,2021,others +Caatinga,BAHIA,Santa Terezinha,10.74,2021,others +Caatinga,BAHIA,Canudos,3.45,2021,agriculture +Mata Atlântica,BAHIA,Ibirataia,4.75,2021,agriculture +Cerrado,BAHIA,Barreiras,21.42,2021,agriculture +Caatinga,BAHIA,Iramaia,17.88,2021,agriculture +Caatinga,BAHIA,Mucugê,3.46,2021,agriculture +Caatinga,BAHIA,Coronel João Sá,273.18,2021,others +Caatinga,BAHIA,Ituaçu,16.55,2021,agriculture +Mata Atlântica,BAHIA,Conceição do Jacuípe,15.28,2021,agriculture +Mata Atlântica,BAHIA,Valença,1.4,2021,agriculture +Mata Atlântica,BAHIA,Camacan,2.44,2021,agriculture +Mata Atlântica,BAHIA,Itororó,4.29,2021,agriculture +Cerrado,BAHIA,Jaborandi,591.5,2021,agriculture +Cerrado,BAHIA,Barreiras,34.24,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,107.51,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.31,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,9.31,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,6.27,2021,agriculture +Mata Atlântica,BAHIA,Varzedo,14.38,2021,agriculture +Caatinga,BAHIA,Caetité,1.45,2021,agriculture +Cerrado,BAHIA,Correntina,986.4,2021,agriculture +Cerrado,BAHIA,Cristópolis,3.63,2021,agriculture +Caatinga,BAHIA,São Félix do Coribe,16.8,2021,agriculture +Cerrado,BAHIA,Baianópolis,651.93,2021,agriculture +Caatinga,BAHIA,Buritirama,1.21,2021,agriculture +Caatinga,BAHIA,Buritirama,5.11,2021,agriculture +Caatinga,BAHIA,Sento Sé,2.64,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,8.33,2021,agriculture +Caatinga,BAHIA,Sento Sé,4.58,2021,agriculture +Caatinga,BAHIA,Uauá,1.95,2021,agriculture +Caatinga,BAHIA,Sento Sé,0.35,2021,agriculture +Caatinga,BAHIA,Sítio do Quinto,17.9,2021,others +Caatinga,BAHIA,Morpará,82.1,2021,agriculture +Caatinga,BAHIA,Santana,8.71,2021,agriculture +Caatinga,BAHIA,Monte Santo,42.4,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,9.32,2021,agriculture +Caatinga,BAHIA,Feira da Mata,4.85,2021,others +Caatinga,BAHIA,Cotegipe,4.61,2021,others +Caatinga,BAHIA,Wanderley,3.8,2021,others +Caatinga,BAHIA,Barra,205.53,2021,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,5.06,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,1.75,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,4.18,2021,others +Caatinga,BAHIA,Brumado,1.16,2021,others +Caatinga,BAHIA,Casa Nova,5.36,2021,others +Caatinga,BAHIA,Poções,10.49,2021,others +Caatinga,BAHIA,Novo Triunfo,16.24,2021,agriculture +Caatinga,BAHIA,Cipó,99.85,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,1.9,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,159.45,2021,agriculture +Cerrado,BAHIA,Cocos,368.05,2021,agriculture +Cerrado,BAHIA,São Desidério,11.44,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,8.38,2021,agriculture +Cerrado,BAHIA,Barreiras,21.73,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,75.43,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,36.89,2021,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,8.22,2021,agriculture +Mata Atlântica,BAHIA,Itapebi,25.06,2022,agriculture +Mata Atlântica,BAHIA,Maiquinique,50.05,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,0.58,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,9.68,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,2.54,2022,agriculture +Mata Atlântica,BAHIA,Saubara,0.39,2022,agriculture +Mata Atlântica,BAHIA,Jaguaquara,1.48,2022,agriculture +Caatinga,BAHIA,Macaúbas,6.59,2022,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,1.65,2022,agriculture +Caatinga,BAHIA,Guajeru,4.99,2022,agriculture +Caatinga,BAHIA,Barra,156.66,2022,others +Caatinga,BAHIA,Brejolândia,5.15,2022,agriculture +Caatinga,BAHIA,Buritirama,0.61,2022,others +Caatinga,BAHIA,Bom Jesus da Serra,0.59,2022,others +Caatinga,BAHIA,Brejolândia,7.7,2022,agriculture +Cerrado,BAHIA,São Desidério,173.78,2022,agriculture +Cerrado,BAHIA,São Desidério,29.18,2022,agriculture +Mata Atlântica,BAHIA,Irajuba,1.86,2022,agriculture +Mata Atlântica,BAHIA,Guaratinga,18.88,2022,agriculture +Mata Atlântica,BAHIA,Camamu,5.62,2022,agriculture +Mata Atlântica,BAHIA,Alagoinhas,23.75,2022,agriculture +Mata Atlântica,BAHIA,Jaguaripe,0.85,2022,agriculture +Mata Atlântica,BAHIA,Jaguaripe,4.39,2022,agriculture +Cerrado,BAHIA,Tanque Novo,0.54,2022,agriculture +Caatinga,BAHIA,Matina,7.09,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.81,2022,others +Caatinga,BAHIA,Riacho de Santana,1.88,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,2.14,2022,others +Caatinga,BAHIA,Antônio Gonçalves,0.81,2022,others +Caatinga,BAHIA,Riacho de Santana,21.24,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,2.61,2022,others +Caatinga,BAHIA,Riacho de Santana,2.84,2022,agriculture +Caatinga,BAHIA,Queimadas,125.3,2022,agriculture +Caatinga,BAHIA,Tanque Novo,6.16,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,2.48,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,14.19,2022,agriculture +Caatinga,BAHIA,Paulo Afonso,1.36,2022,agriculture +Caatinga,BAHIA,Tucano,4.01,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,0.78,2022,others +Caatinga,BAHIA,Paratinga,4.5,2022,agriculture +Caatinga,BAHIA,Buritirama,1.31,2022,agriculture +Cerrado,BAHIA,Caetité,8.07,2022,agriculture +Caatinga,BAHIA,Igaporã,7.65,2022,others +Caatinga,BAHIA,Uauá,67.47,2022,others +Caatinga,BAHIA,Itaberaba,7.06,2022,agriculture +Caatinga,BAHIA,Campo Formoso,0.97,2022,agriculture +Caatinga,BAHIA,Matina,3.11,2022,others +Caatinga,BAHIA,Paratinga,1.25,2022,others +Caatinga,BAHIA,Riacho de Santana,6.87,2022,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,2.06,2022,others +Caatinga,BAHIA,Piatã,0.68,2022,others +Caatinga,BAHIA,Heliópolis,28.66,2022,others +Cerrado,BAHIA,Formosa do Rio Preto,30.22,2022,agriculture +Cerrado,BAHIA,Matina,2.48,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,4.88,2022,others +Caatinga,BAHIA,Riacho de Santana,15.7,2022,others +Caatinga,BAHIA,Macaúbas,1.07,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,55.53,2022,agriculture +Mata Atlântica,BAHIA,Taperoá,0.87,2022,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,0.87,2022,agriculture +Cerrado,BAHIA,Baianópolis,1.91,2022,agriculture +Cerrado,BAHIA,Barreiras,7.0,2022,urban_expansion +Cerrado,BAHIA,São Desidério,13.09,2022,agriculture +Cerrado,BAHIA,Correntina,63.98,2022,agriculture +Caatinga,BAHIA,Urandi,5.33,2022,others +Cerrado,BAHIA,Mansidão,4.66,2022,agriculture +Caatinga,BAHIA,Jeremoabo,1.9,2022,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,11.0,2022,others +Caatinga,BAHIA,Jacobina,1.22,2022,others +Caatinga,BAHIA,Brejolândia,7.89,2022,others +Caatinga,BAHIA,Jeremoabo,21.79,2022,agriculture +Caatinga,BAHIA,Santana,23.09,2022,others +Cerrado,BAHIA,Cocos,25.7,2022,agriculture +Caatinga,BAHIA,Jeremoabo,41.28,2022,others +Caatinga,BAHIA,Paulo Afonso,0.85,2022,others +Caatinga,BAHIA,Licínio de Almeida,2.29,2022,others +Caatinga,BAHIA,Ribeira do Pombal,12.13,2022,others +Caatinga,BAHIA,Malhada,4.53,2022,others +Caatinga,BAHIA,Ipupiara,1.87,2022,others +Caatinga,BAHIA,Ibitiara,1.98,2022,others +Caatinga,BAHIA,Mortugaba,4.37,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,14.16,2022,agriculture +Caatinga,BAHIA,Barra da Estiva,17.25,2022,others +Cerrado,BAHIA,Correntina,18.1,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,2.74,2022,others +Caatinga,BAHIA,Euclides da Cunha,12.88,2022,others +Caatinga,BAHIA,Ibitiara,15.65,2022,others +Cerrado,BAHIA,Igaporã,11.73,2022,agriculture +Cerrado,BAHIA,Baianópolis,3.56,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,70.51,2022,agriculture +Caatinga,BAHIA,Jeremoabo,18.96,2022,others +Caatinga,BAHIA,Jeremoabo,5.19,2022,agriculture +Caatinga,BAHIA,Macaúbas,5.55,2022,others +Caatinga,BAHIA,Guajeru,8.61,2022,others +Caatinga,BAHIA,Boquira,3.16,2022,others +Caatinga,BAHIA,Boquira,0.68,2022,others +Cerrado,BAHIA,Macaúbas,1.41,2022,agriculture +Mata Atlântica,BAHIA,Lajedo do Tabocal,3.3,2022,agriculture +Caatinga,BAHIA,Ribeira do Pombal,95.66,2022,others +Caatinga,BAHIA,Pilão Arcado,0.72,2022,others +Cerrado,BAHIA,Igaporã,3.94,2022,agriculture +Cerrado,BAHIA,Coribe,1.22,2022,agriculture +Caatinga,BAHIA,Umburanas,0.83,2022,others +Caatinga,BAHIA,Buritirama,0.74,2022,others +Cerrado,BAHIA,Tabocas do Brejo Velho,3.51,2022,agriculture +Caatinga,BAHIA,Feira da Mata,7.54,2022,others +Mata Atlântica,BAHIA,Esplanada,2.31,2022,agriculture +Mata Atlântica,BAHIA,Aporá,7.69,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,2.69,2022,agriculture +Mata Atlântica,BAHIA,Maraú,3.76,2022,agriculture +Mata Atlântica,BAHIA,Belmonte,0.78,2022,agriculture +Mata Atlântica,BAHIA,Araçás,2.29,2022,agriculture +Mata Atlântica,BAHIA,Camamu,0.84,2022,agriculture +Mata Atlântica,BAHIA,Jaguaripe,0.5,2022,agriculture +Caatinga,BAHIA,Itapicuru,1.16,2022,others +Cerrado,BAHIA,Barreiras,99.99,2022,agriculture +Cerrado,BAHIA,Correntina,527.22,2022,agriculture +Mata Atlântica,BAHIA,Canavieiras,5.9,2019,agriculture +Caatinga,BAHIA,Wanderley,487.12,2019,agriculture +Mata Atlântica,BAHIA,Taperoá,1.41,2019,agriculture +Caatinga,BAHIA,Feira da Mata,3.29,2019,agriculture +Mata Atlântica,BAHIA,Igrapiúna,3.93,2019,agriculture +Caatinga,BAHIA,Feira da Mata,13.51,2019,agriculture +Caatinga,BAHIA,São Félix do Coribe,2.59,2019,agriculture +Mata Atlântica,BAHIA,Guaratinga,9.28,2019,agriculture +Mata Atlântica,BAHIA,Itabela,25.9,2019,agriculture +Cerrado,BAHIA,Coribe,2.85,2019,agriculture +Caatinga,BAHIA,Coribe,13.72,2019,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,8.37,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,2.1,2019,agriculture +Caatinga,BAHIA,Barra,2.31,2019,agriculture +Caatinga,BAHIA,Angical,10.09,2019,agriculture +Mata Atlântica,BAHIA,Encruzilhada,22.1,2019,agriculture +Caatinga,BAHIA,Mundo Novo,5.02,2019,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,24.95,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,12.86,2019,agriculture +Cerrado,BAHIA,Barreiras,107.56,2019,agriculture +Caatinga,BAHIA,Muquém do São Francisco,21.0,2019,agriculture +Cerrado,BAHIA,Barreiras,17.43,2019,agriculture +Caatinga,BAHIA,Feira da Mata,15.26,2019,agriculture +Cerrado,BAHIA,São Desidério,33.56,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,10.59,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,17.13,2019,agriculture +Cerrado,BAHIA,Coribe,260.1,2019,agriculture +Mata Atlântica,BAHIA,Barro Preto,7.39,2019,agriculture +Mata Atlântica,BAHIA,São Gonçalo dos Campos,1.51,2019,urban_expansion +Mata Atlântica,BAHIA,Vitória da Conquista,8.94,2019,agriculture +Mata Atlântica,BAHIA,Mascote,2.36,2019,agriculture +Mata Atlântica,BAHIA,Itajuípe,2.8,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,1.88,2019,agriculture +Mata Atlântica,BAHIA,Caatiba,13.0,2019,agriculture +Mata Atlântica,BAHIA,Aurelino Leal,9.23,2019,agriculture +Mata Atlântica,BAHIA,Entre Rios,12.43,2019,agriculture +Mata Atlântica,BAHIA,Dário Meira,8.09,2019,agriculture +Mata Atlântica,BAHIA,Itabuna,16.83,2019,agriculture +Cerrado,BAHIA,São Desidério,31.73,2020,agriculture +Caatinga,BAHIA,Correntina,18.05,2020,agriculture +Cerrado,BAHIA,Cotegipe,190.24,2020,agriculture +Caatinga,BAHIA,Serra Dourada,48.47,2020,agriculture +Mata Atlântica,BAHIA,Araçás,2.45,2020,agriculture +Mata Atlântica,BAHIA,São Sebastião do Passé,18.92,2020,agriculture +Mata Atlântica,BAHIA,Jaguaripe,1.35,2020,agriculture +Mata Atlântica,BAHIA,Maraú,1.74,2020,agriculture +Mata Atlântica,BAHIA,Itacaré,2.36,2020,agriculture +Mata Atlântica,BAHIA,Camamu,2.74,2020,agriculture +Mata Atlântica,BAHIA,Mascote,3.17,2020,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,2.87,2020,agriculture +Mata Atlântica,BAHIA,Itapebi,5.21,2020,agriculture +Mata Atlântica,BAHIA,Mascote,2.16,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,6.66,2020,agriculture +Mata Atlântica,BAHIA,Ibirataia,0.62,2020,agriculture +Mata Atlântica,BAHIA,Brejões,35.5,2020,agriculture +Mata Atlântica,BAHIA,Jitaúna,7.2,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,18.39,2020,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.6,2020,agriculture +Mata Atlântica,BAHIA,Itagi,3.26,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,9.01,2020,agriculture +Cerrado,BAHIA,São Desidério,138.52,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,10.4,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,43.09,2020,agriculture +Caatinga,BAHIA,Brumado,44.44,2020,urban_expansion +Caatinga,BAHIA,Iramaia,82.75,2020,agriculture +Caatinga,BAHIA,Guajeru,40.79,2020,agriculture +Caatinga,BAHIA,Nova Soure,3.33,2020,agriculture +Cerrado,BAHIA,Barreiras,979.89,2020,agriculture +Caatinga,BAHIA,Novo Triunfo,16.14,2020,agriculture +Caatinga,BAHIA,Urandi,1.46,2020,agriculture +Mata Atlântica,BAHIA,Inhambupe,3.78,2020,agriculture +Caatinga,BAHIA,Itapicuru,7.68,2020,agriculture +Cerrado,BAHIA,Cristópolis,8.74,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.76,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,276.82,2020,agriculture +Caatinga,BAHIA,Brejolândia,16.72,2020,agriculture +Mata Atlântica,BAHIA,Itagibá,3.72,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,6.84,2020,agriculture +Mata Atlântica,BAHIA,Jucuruçu,8.21,2020,agriculture +Mata Atlântica,BAHIA,Mutuípe,4.41,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,29.52,2020,agriculture +Cerrado,BAHIA,Jaborandi,471.53,2020,agriculture +Caatinga,BAHIA,Iuiu,67.64,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,10.0,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,35.66,2020,agriculture +Caatinga,BAHIA,Santana,9.02,2020,agriculture +Caatinga,BAHIA,Barra da Estiva,12.25,2020,agriculture +Cerrado,BAHIA,Baianópolis,1.88,2020,agriculture +Cerrado,BAHIA,Baianópolis,6.95,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,14.14,2020,agriculture +Caatinga,BAHIA,Brumado,6.24,2020,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,12.35,2020,agriculture +Caatinga,BAHIA,Caculé,3.58,2020,agriculture +Caatinga,BAHIA,Tanhaçu,7.9,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,3.42,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,2.82,2020,agriculture +Caatinga,BAHIA,Cansanção,3.17,2020,agriculture +Caatinga,BAHIA,Caturama,4.98,2020,agriculture +Caatinga,BAHIA,Macaúbas,10.71,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,10.03,2020,agriculture +Caatinga,BAHIA,Iaçu,1.79,2020,agriculture +Caatinga,BAHIA,Iaçu,14.83,2020,agriculture +Caatinga,BAHIA,Itatim,8.96,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,83.97,2020,agriculture +Caatinga,BAHIA,Carinhanha,39.41,2020,agriculture +Caatinga,BAHIA,Casa Nova,12.52,2020,agriculture +Caatinga,BAHIA,Ibitiara,4.26,2020,agriculture +Mata Atlântica,BAHIA,Nova Canaã,4.32,2020,agriculture +Caatinga,BAHIA,Brejolândia,7.92,2020,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,1.84,2020,agriculture +Caatinga,BAHIA,Tapiramutá,4.11,2020,agriculture +Caatinga,BAHIA,Bonito,9.7,2020,agriculture +Caatinga,BAHIA,Seabra,5.45,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,5.14,2020,agriculture +Caatinga,BAHIA,Piatã,17.56,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,3.25,2020,agriculture +Caatinga,BAHIA,Rio de Contas,5.3,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,3.68,2020,agriculture +Caatinga,BAHIA,Barrocas,9.82,2020,agriculture +Caatinga,BAHIA,Euclides da Cunha,10.47,2020,agriculture +Caatinga,BAHIA,Boa Vista do Tupim,10.8,2020,agriculture +Caatinga,BAHIA,Sítio do Quinto,16.89,2020,agriculture +Caatinga,BAHIA,Oliveira dos Brejinhos,378.36,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,7.74,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,1.39,2020,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,4.66,2020,agriculture +Mata Atlântica,BAHIA,Igrapiúna,2.29,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,6.52,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,12.35,2020,agriculture +Cerrado,BAHIA,Baianópolis,14.84,2020,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,2.8,2020,agriculture +Caatinga,BAHIA,Malhada de Pedras,1.43,2020,agriculture +Caatinga,BAHIA,Brumado,2.49,2020,agriculture +Caatinga,BAHIA,Brumado,2.31,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,6.75,2020,agriculture +Mata Atlântica,BAHIA,Santa Terezinha,0.61,2020,agriculture +Caatinga,BAHIA,Urandi,1.47,2020,agriculture +Caatinga,BAHIA,Macaúbas,0.59,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,10.95,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,4.96,2020,agriculture +Caatinga,BAHIA,Maetinga,1.6,2020,agriculture +Caatinga,BAHIA,Canudos,3.85,2020,agriculture +Caatinga,BAHIA,Caetanos,3.37,2020,agriculture +Caatinga,BAHIA,Cotegipe,13.33,2021,agriculture +Mata Atlântica,BAHIA,Itamaraju,0.5,2021,agriculture +Mata Atlântica,BAHIA,Santa Cruz da Vitória,19.23,2021,agriculture +Mata Atlântica,BAHIA,São Felipe,6.44,2021,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,2.71,2021,agriculture +Mata Atlântica,BAHIA,Ibirataia,14.48,2021,agriculture +Caatinga,BAHIA,Casa Nova,16.16,2021,agriculture +Caatinga,BAHIA,Paramirim,1.14,2021,agriculture +Caatinga,BAHIA,Lagoa Real,6.97,2021,agriculture +Cerrado,BAHIA,Igaporã,5.49,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,2.14,2021,agriculture +Cerrado,BAHIA,Cocos,14.64,2021,agriculture +Caatinga,BAHIA,Feira da Mata,42.64,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,12.07,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,4.3,2021,agriculture +Mata Atlântica,BAHIA,Una,5.79,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,14.7,2021,agriculture +Cerrado,BAHIA,São Desidério,27.16,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,1.83,2021,agriculture +Mata Atlântica,BAHIA,Valença,1.84,2021,agriculture +Cerrado,BAHIA,Coribe,11.09,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,20.46,2021,agriculture +Mata Atlântica,BAHIA,Itapé,1.76,2021,agriculture +Caatinga,BAHIA,Tapiramutá,7.37,2021,agriculture +Caatinga,BAHIA,Tapiramutá,3.36,2021,agriculture +Cerrado,BAHIA,Barreiras,9.05,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,8.0,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,47.43,2021,agriculture +Caatinga,BAHIA,Campo Formoso,0.78,2021,agriculture +Caatinga,BAHIA,Euclides da Cunha,2.41,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,12.17,2021,agriculture +Caatinga,BAHIA,Paratinga,1.27,2021,agriculture +Caatinga,BAHIA,Canudos,7.75,2021,agriculture +Caatinga,BAHIA,Canudos,32.7,2021,agriculture +Caatinga,BAHIA,Lagoa Real,2.04,2021,agriculture +Caatinga,BAHIA,Ituaçu,6.82,2021,agriculture +Mata Atlântica,BAHIA,Cândido Sales,25.97,2021,agriculture +Cerrado,BAHIA,Igaporã,3.89,2021,urban_expansion +Caatinga,BAHIA,Wanderley,146.02,2021,agriculture +Caatinga,BAHIA,Barra,6.64,2021,agriculture +Caatinga,BAHIA,Santana,11.97,2021,agriculture +Mata Atlântica,BAHIA,Salvador,1.8,2021,agriculture +Caatinga,BAHIA,Morro do Chapéu,12.03,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.52,2021,agriculture +Caatinga,BAHIA,Tanhaçu,4.92,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.94,2021,agriculture +Caatinga,BAHIA,Ribeira do Pombal,4.83,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,10.96,2021,agriculture +Caatinga,BAHIA,Wagner,12.74,2021,others +Cerrado,BAHIA,Formosa do Rio Preto,70.13,2020,agriculture +Caatinga,BAHIA,Malhada,25.96,2020,others +Cerrado,BAHIA,São Desidério,3.11,2020,agriculture +Caatinga,BAHIA,Angical,43.88,2020,others +Caatinga,BAHIA,Angical,5.64,2020,agriculture +Caatinga,BAHIA,Cotegipe,3.46,2020,others +Caatinga,BAHIA,Wanderley,1.65,2020,others +Caatinga,BAHIA,Barra,1.68,2020,others +Caatinga,BAHIA,Barra,0.89,2020,others +Cerrado,BAHIA,Santa Rita de Cássia,6.15,2020,agriculture +Caatinga,BAHIA,Barra,1.72,2020,others +Cerrado,BAHIA,Cotegipe,7.41,2020,agriculture +Cerrado,BAHIA,Cotegipe,2.6,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.15,2020,others +Caatinga,BAHIA,Malhada,0.76,2020,agriculture +Caatinga,BAHIA,Tabocas do Brejo Velho,4.0,2020,agriculture +Caatinga,BAHIA,Carinhanha,2.49,2020,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,1.72,2020,others +Caatinga,BAHIA,Sítio do Mato,3.53,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,5.8,2020,agriculture +Caatinga,BAHIA,Santana,8.81,2020,agriculture +Caatinga,BAHIA,Santana,2.28,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,7.44,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,4.18,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,1.79,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,3.62,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,1.25,2020,agriculture +Cerrado,BAHIA,Correntina,2.29,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,5.53,2020,agriculture +Cerrado,BAHIA,Baianópolis,4.84,2020,agriculture +Caatinga,BAHIA,Buritirama,1.14,2020,agriculture +Caatinga,BAHIA,Barra,1.33,2020,agriculture +Caatinga,BAHIA,Buritirama,0.97,2020,others +Caatinga,BAHIA,Buritirama,0.99,2020,agriculture +Caatinga,BAHIA,Buritirama,3.02,2020,agriculture +Caatinga,BAHIA,Buritirama,1.39,2020,agriculture +Caatinga,BAHIA,Buritirama,2.13,2020,others +Caatinga,BAHIA,Buritirama,1.73,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.5,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,16.42,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,2.77,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,1.12,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,4.42,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,1.95,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,5.23,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.19,2020,agriculture +Caatinga,BAHIA,Carinhanha,5.49,2020,agriculture +Caatinga,BAHIA,Feira da Mata,3.49,2020,agriculture +Caatinga,BAHIA,Carinhanha,18.72,2020,agriculture +Caatinga,BAHIA,Feira da Mata,2.44,2020,agriculture +Caatinga,BAHIA,Feira da Mata,7.19,2020,agriculture +Caatinga,BAHIA,Carinhanha,6.32,2020,agriculture +Caatinga,BAHIA,Sento Sé,0.86,2021,agriculture +Caatinga,BAHIA,Mansidão,4.43,2021,agriculture +Caatinga,BAHIA,Quijingue,0.91,2021,agriculture +Caatinga,BAHIA,Caturama,0.82,2021,others +Caatinga,BAHIA,Boninal,0.36,2021,agriculture +Caatinga,BAHIA,Araci,9.67,2021,agriculture +Caatinga,BAHIA,Condeúba,0.6,2021,others +Caatinga,BAHIA,Morro do Chapéu,2.38,2021,agriculture +Caatinga,BAHIA,Uibaí,6.29,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,5.18,2021,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,3.25,2021,agriculture +Cerrado,BAHIA,Jaborandi,114.93,2021,agriculture +Caatinga,BAHIA,Santana,17.97,2021,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,62.83,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,13.33,2021,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,28.9,2021,others +Caatinga,BAHIA,Cícero Dantas,0.22,2021,others +Caatinga,BAHIA,Coronel João Sá,3.73,2021,agriculture +Caatinga,BAHIA,Brumado,82.43,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,375.26,2021,agriculture +Cerrado,BAHIA,Catolândia,46.85,2021,agriculture +Mata Atlântica,BAHIA,Conde,2.25,2021,agriculture +Caatinga,BAHIA,Jacobina,1.97,2021,others +Mata Atlântica,BAHIA,Vitória da Conquista,7.26,2021,agriculture +Cerrado,BAHIA,Caetité,9.19,2021,agriculture +Caatinga,BAHIA,Brumado,3.4,2021,agriculture +Caatinga,BAHIA,Barra,18.54,2021,agriculture +Caatinga,BAHIA,Matina,1.44,2021,agriculture +Caatinga,BAHIA,Sento Sé,2.27,2021,urban_expansion +Caatinga,BAHIA,Carinhanha,0.62,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,3.59,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.26,2021,urban_expansion +Mata Atlântica,BAHIA,Camacan,70.95,2021,agriculture +Mata Atlântica,BAHIA,Itagibá,1.81,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,0.64,2021,agriculture +Mata Atlântica,BAHIA,Itagi,1.46,2021,agriculture +Caatinga,BAHIA,Bonito,23.66,2021,agriculture +Caatinga,BAHIA,Ibipitanga,1.88,2021,agriculture +Cerrado,BAHIA,Cristópolis,43.73,2021,agriculture +Mata Atlântica,BAHIA,Pojuca,3.49,2021,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,4.38,2021,agriculture +Caatinga,BAHIA,Barra da Estiva,7.79,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,6.06,2021,agriculture +Caatinga,BAHIA,Canudos,14.56,2021,agriculture +Caatinga,BAHIA,Aracatu,3.49,2021,agriculture +Caatinga,BAHIA,Rio do Antônio,3.23,2021,others +Caatinga,BAHIA,Anagé,9.61,2021,agriculture +Caatinga,BAHIA,Mansidão,0.53,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.12,2021,agriculture +Caatinga,BAHIA,Cotegipe,9.92,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,179.42,2021,agriculture +Caatinga,BAHIA,Macaúbas,4.66,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.65,2021,agriculture +Caatinga,BAHIA,Sítio do Quinto,14.43,2021,agriculture +Caatinga,BAHIA,Santa Brígida,0.31,2021,others +Caatinga,BAHIA,Bom Jesus da Lapa,6.4,2021,others +Caatinga,BAHIA,Oliveira dos Brejinhos,2.96,2021,agriculture +Caatinga,BAHIA,Jeremoabo,4.67,2021,others +Caatinga,BAHIA,Maracás,46.89,2021,others +Cerrado,BAHIA,Santa Rita de Cássia,11.45,2021,agriculture +Caatinga,BAHIA,Riacho de Santana,5.95,2021,others +Caatinga,BAHIA,Sebastião Laranjeiras,6.06,2021,others +Caatinga,BAHIA,Rio do Pires,104.01,2021,others +Caatinga,BAHIA,Malhada de Pedras,2.61,2021,agriculture +Caatinga,BAHIA,Malhada de Pedras,0.11,2021,others +Caatinga,BAHIA,Caraíbas,2.4,2021,others +Caatinga,BAHIA,Brumado,17.91,2021,agriculture +Caatinga,BAHIA,Brumado,4.0,2021,others +Caatinga,BAHIA,Poções,2.19,2021,others +Caatinga,BAHIA,Monte Santo,2.43,2021,others +Caatinga,BAHIA,Ribeira do Pombal,28.95,2021,others +Caatinga,BAHIA,Casa Nova,6.69,2021,agriculture +Caatinga,BAHIA,Jeremoabo,45.63,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,5.08,2021,others +Caatinga,BAHIA,Santa Rita de Cássia,7.86,2021,others +Caatinga,BAHIA,Gentio do Ouro,0.86,2021,others +Caatinga,BAHIA,Ibotirama,3.1,2021,agriculture +Caatinga,BAHIA,Brejolândia,75.83,2021,agriculture +Caatinga,BAHIA,Paratinga,1.88,2021,agriculture +Caatinga,BAHIA,Boquira,1.23,2021,others +Caatinga,BAHIA,Carinhanha,56.37,2021,agriculture +Caatinga,BAHIA,Caculé,1.6,2021,others +Cerrado,BAHIA,Jaborandi,4977.61,2021,agriculture +Caatinga,BAHIA,Jaborandi,17.22,2021,agriculture +Cerrado,BAHIA,São Desidério,186.73,2021,agriculture +Mata Atlântica,BAHIA,Barro Preto,2.95,2021,agriculture +Mata Atlântica,BAHIA,Rio Real,5.43,2021,agriculture +Mata Atlântica,BAHIA,Itabuna,0.82,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,2.98,2021,agriculture +Caatinga,BAHIA,Muquém do São Francisco,6.21,2021,agriculture +Caatinga,BAHIA,Wanderley,8.7,2021,agriculture +Caatinga,BAHIA,Barra,284.22,2021,agriculture +Mata Atlântica,BAHIA,Caravelas,2.94,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,2.98,2022,agriculture +Mata Atlântica,BAHIA,Camacan,11.53,2022,agriculture +Mata Atlântica,BAHIA,Jitaúna,6.44,2022,agriculture +Mata Atlântica,BAHIA,Mascote,0.93,2022,agriculture +Mata Atlântica,BAHIA,Una,0.59,2022,agriculture +Mata Atlântica,BAHIA,Wenceslau Guimarães,20.62,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,5.38,2022,agriculture +Cerrado,BAHIA,Barreiras,3099.55,2022,agriculture +Cerrado,BAHIA,São Desidério,139.65,2022,agriculture +Caatinga,BAHIA,Brumado,2.15,2022,others +Cerrado,BAHIA,Mansidão,50.44,2022,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,1.46,2022,agriculture +Caatinga,BAHIA,Ibotirama,27.91,2022,agriculture +Cerrado,BAHIA,São Desidério,46.6,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,93.03,2022,agriculture +Mata Atlântica,BAHIA,Jucuruçu,0.63,2022,agriculture +Mata Atlântica,BAHIA,Santa Luzia,0.51,2022,agriculture +Mata Atlântica,BAHIA,Entre Rios,33.07,2022,agriculture +Mata Atlântica,BAHIA,Jandaíra,131.22,2022,agriculture +Cerrado,BAHIA,Tanque Novo,1.46,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.68,2022,others +Caatinga,BAHIA,Cícero Dantas,30.67,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.0,2022,others +Caatinga,BAHIA,Barra da Estiva,2.4,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,2.3,2022,others +Cerrado,BAHIA,Santa Rita de Cássia,6.66,2022,agriculture +Cerrado,BAHIA,Igaporã,0.54,2022,agriculture +Caatinga,BAHIA,Matina,2.42,2022,others +Caatinga,BAHIA,Matina,1.0,2022,others +Cerrado,BAHIA,Tanque Novo,2.27,2022,agriculture +Caatinga,BAHIA,Piritiba,2.42,2022,agriculture +Caatinga,BAHIA,Buritirama,0.96,2022,others +Caatinga,BAHIA,Marcionílio Souza,77.93,2022,others +Cerrado,BAHIA,Igaporã,2.51,2022,agriculture +Caatinga,BAHIA,Matina,2.95,2022,others +Caatinga,BAHIA,Inhambupe,9.44,2022,others +Caatinga,BAHIA,Boninal,9.46,2022,others +Caatinga,BAHIA,Baixa Grande,2.94,2022,agriculture +Caatinga,BAHIA,Paratinga,3.77,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,2.93,2022,agriculture +Caatinga,BAHIA,Paripiranga,6.92,2022,agriculture +Caatinga,BAHIA,Campo Formoso,4.49,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,19.36,2022,others +Caatinga,BAHIA,Pilão Arcado,1.62,2022,others +Caatinga,BAHIA,Juazeiro,16.46,2022,others +Caatinga,BAHIA,Riacho de Santana,3.68,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,9.13,2022,agriculture +Mata Atlântica,BAHIA,Itaju do Colônia,5.46,2022,agriculture +Mata Atlântica,BAHIA,Jiquiriçá,0.56,2022,agriculture +Mata Atlântica,BAHIA,Valença,0.51,2022,agriculture +Mata Atlântica,BAHIA,Simões Filho,17.89,2022,urban_expansion +Mata Atlântica,BAHIA,Itarantim,5.45,2022,agriculture +Mata Atlântica,BAHIA,Nazaré,0.47,2022,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,2.22,2022,agriculture +Mata Atlântica,BAHIA,Jaguaquara,0.18,2022,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,4.84,2022,others +Caatinga,BAHIA,São Félix do Coribe,15.36,2022,agriculture +Cerrado,BAHIA,Cocos,21.9,2022,agriculture +Caatinga,BAHIA,Érico Cardoso,4.64,2022,agriculture +Caatinga,BAHIA,Piatã,0.34,2022,others +Caatinga,BAHIA,Oliveira dos Brejinhos,2.23,2022,others +Caatinga,BAHIA,Saúde,4.86,2022,others +Caatinga,BAHIA,Condeúba,40.67,2022,others +Caatinga,BAHIA,Barra,22.69,2022,others +Caatinga,BAHIA,Iramaia,8.07,2022,others +Caatinga,BAHIA,Jaguarari,2.59,2022,others +Caatinga,BAHIA,Serra Dourada,15.18,2022,others +Caatinga,BAHIA,Santa Maria da Vitória,3.19,2022,agriculture +Cerrado,BAHIA,Riachão das Neves,4.2,2022,agriculture +Caatinga,BAHIA,Tapiramutá,3.49,2022,others +Cerrado,BAHIA,Correntina,1600.65,2022,agriculture +Cerrado,BAHIA,São Desidério,227.63,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,4.54,2022,agriculture +Cerrado,BAHIA,São Desidério,511.31,2022,agriculture +Cerrado,BAHIA,São Desidério,69.71,2022,agriculture +Cerrado,BAHIA,Igaporã,7.2,2022,agriculture +Caatinga,BAHIA,Buritirama,0.59,2022,others +Caatinga,BAHIA,Monte Santo,3.25,2022,others +Caatinga,BAHIA,Macaúbas,2.4,2022,others +Caatinga,BAHIA,Itiúba,1.59,2022,others +Caatinga,BAHIA,Andorinha,1.49,2022,others +Cerrado,BAHIA,Santa Maria da Vitória,7.5,2022,agriculture +Caatinga,BAHIA,Feira da Mata,3.25,2022,others +Caatinga,BAHIA,Boninal,4.21,2022,others +Caatinga,BAHIA,Juazeiro,19.5,2022,agriculture +Caatinga,BAHIA,Serra Dourada,55.72,2022,agriculture +Caatinga,BAHIA,Ourolândia,1.7,2022,others +Caatinga,BAHIA,Feira da Mata,2.67,2022,agriculture +Caatinga,BAHIA,Feira da Mata,6.04,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,0.91,2022,others +Mata Atlântica,BAHIA,Valença,2.92,2022,agriculture +Mata Atlântica,BAHIA,Água Fria,18.01,2022,agriculture +Mata Atlântica,BAHIA,Alagoinhas,11.37,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,45.08,2022,agriculture +Cerrado,BAHIA,São Desidério,3.86,2022,agriculture +Caatinga,BAHIA,Milagres,10.5,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,35.81,2019,agriculture +Cerrado,BAHIA,Catolândia,6.86,2019,agriculture +Cerrado,BAHIA,Catolândia,28.9,2019,agriculture +Cerrado,BAHIA,Cocos,22.25,2019,agriculture +Cerrado,BAHIA,Baianópolis,14.02,2019,agriculture +Cerrado,BAHIA,Cocos,3.22,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,2.84,2019,agriculture +Mata Atlântica,BAHIA,Ibirapitanga,1.14,2019,agriculture +Mata Atlântica,BAHIA,Nova Viçosa,8.67,2019,agriculture +Cerrado,BAHIA,Caetité,4.56,2019,agriculture +Mata Atlântica,BAHIA,Alcobaça,8.35,2019,agriculture +Mata Atlântica,BAHIA,Barro Preto,22.09,2019,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,7.42,2019,agriculture +Caatinga,BAHIA,Jacobina,4.02,2019,agriculture +Mata Atlântica,BAHIA,Igrapiúna,0.85,2019,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,23.17,2019,agriculture +Caatinga,BAHIA,Biritinga,9.93,2019,agriculture +Caatinga,BAHIA,Morro do Chapéu,2.4,2019,agriculture +Caatinga,BAHIA,Cícero Dantas,43.36,2019,agriculture +Cerrado,BAHIA,Correntina,6.28,2019,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,15.01,2019,agriculture +Caatinga,BAHIA,Santa Maria da Vitória,7.47,2019,agriculture +Cerrado,BAHIA,Barreiras,32.92,2019,agriculture +Cerrado,BAHIA,Jaborandi,1145.3,2019,agriculture +Cerrado,BAHIA,Barreiras,27.18,2019,agriculture +Cerrado,BAHIA,São Desidério,33.19,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,19.0,2019,agriculture +Caatinga,BAHIA,Jaborandi,8.14,2019,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,10.51,2019,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,80.42,2019,agriculture +Mata Atlântica,BAHIA,Belmonte,2.24,2019,agriculture +Mata Atlântica,BAHIA,Itapebi,6.43,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,33.54,2019,agriculture +Mata Atlântica,BAHIA,Cândido Sales,7.74,2019,agriculture +Mata Atlântica,BAHIA,Encruzilhada,2.78,2019,agriculture +Mata Atlântica,BAHIA,Canavieiras,28.98,2019,agriculture +Mata Atlântica,BAHIA,Esplanada,1.26,2019,agriculture +Mata Atlântica,BAHIA,Porto Seguro,6.02,2019,agriculture +Mata Atlântica,BAHIA,Camamu,6.47,2019,agriculture +Cerrado,BAHIA,Baianópolis,3.29,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,113.58,2020,agriculture +Caatinga,BAHIA,Carinhanha,6.78,2020,agriculture +Cerrado,BAHIA,Barreiras,1.86,2020,agriculture +Caatinga,BAHIA,Sítio do Mato,11.65,2020,agriculture +Mata Atlântica,BAHIA,Conde,24.6,2020,agriculture +Mata Atlântica,BAHIA,Mata de São João,1.08,2020,agriculture +Mata Atlântica,BAHIA,Simões Filho,1.8,2020,agriculture +Mata Atlântica,BAHIA,Santa Cruz Cabrália,0.64,2020,agriculture +Mata Atlântica,BAHIA,Taperoá,5.1,2020,agriculture +Mata Atlântica,BAHIA,Presidente Tancredo Neves,4.07,2020,agriculture +Mata Atlântica,BAHIA,Ilhéus,1.53,2020,agriculture +Mata Atlântica,BAHIA,Pau Brasil,3.87,2020,agriculture +Mata Atlântica,BAHIA,Itagibá,17.81,2020,agriculture +Caatinga,BAHIA,Jacobina,17.56,2020,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,4.08,2020,agriculture +Caatinga,BAHIA,Mulungu do Morro,2.54,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,3.08,2020,agriculture +Caatinga,BAHIA,Urandi,6.06,2020,agriculture +Caatinga,BAHIA,Tremedal,4.44,2020,agriculture +Caatinga,BAHIA,Brumado,6.33,2020,agriculture +Caatinga,BAHIA,Nova Soure,1.48,2020,agriculture +Caatinga,BAHIA,Crisópolis,5.77,2020,agriculture +Cerrado,BAHIA,São Desidério,343.36,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,10.06,2020,agriculture +Caatinga,BAHIA,Xique-Xique,1049.25,2020,agriculture +Caatinga,BAHIA,Carinhanha,99.0,2020,agriculture +Mata Atlântica,BAHIA,Aiquara,35.9,2020,agriculture +Mata Atlântica,BAHIA,Una,14.05,2020,agriculture +Mata Atlântica,BAHIA,Belo Campo,16.31,2020,agriculture +Mata Atlântica,BAHIA,Belmonte,2.14,2020,agriculture +Mata Atlântica,BAHIA,Prado,37.61,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,8.75,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,12.34,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,35.73,2020,agriculture +Caatinga,BAHIA,Muquém do São Francisco,15.68,2020,agriculture +Cerrado,BAHIA,Correntina,1.53,2020,agriculture +Caatinga,BAHIA,Manoel Vitorino,6.89,2020,agriculture +Caatinga,BAHIA,Manoel Vitorino,95.03,2020,agriculture +Caatinga,BAHIA,Iaçu,262.33,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.01,2020,agriculture +Caatinga,BAHIA,Mansidão,11.15,2020,agriculture +Caatinga,BAHIA,Mansidão,1.59,2020,agriculture +Cerrado,BAHIA,Cocos,2.53,2020,agriculture +Caatinga,BAHIA,Carinhanha,10.61,2020,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,8.57,2020,agriculture +Caatinga,BAHIA,Condeúba,12.66,2020,agriculture +Caatinga,BAHIA,Aracatu,9.53,2020,agriculture +Mata Atlântica,BAHIA,Santa Luzia,1.33,2020,agriculture +Caatinga,BAHIA,Sento Sé,2.36,2020,agriculture +Caatinga,BAHIA,Ourolândia,12.14,2020,agriculture +Caatinga,BAHIA,Jacaraci,6.76,2020,agriculture +Caatinga,BAHIA,Manoel Vitorino,5.59,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,4.23,2020,agriculture +Caatinga,BAHIA,Riacho de Santana,5.87,2020,agriculture +Caatinga,BAHIA,Ibitiara,3.76,2020,agriculture +Caatinga,BAHIA,Caraíbas,2.82,2020,agriculture +Caatinga,BAHIA,Correntina,7.34,2020,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,5.36,2020,agriculture +Mata Atlântica,BAHIA,Camamu,2.52,2020,agriculture +Mata Atlântica,BAHIA,Canavieiras,1.44,2020,agriculture +Mata Atlântica,BAHIA,Terra Nova,14.22,2020,agriculture +Caatinga,BAHIA,Brejolândia,94.39,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,50.46,2020,agriculture +Caatinga,BAHIA,Buritirama,3.71,2020,agriculture +Mata Atlântica,BAHIA,Encruzilhada,29.06,2020,agriculture +Caatinga,BAHIA,Planaltino,32.0,2020,agriculture +Caatinga,BAHIA,Paramirim,39.09,2020,agriculture +Caatinga,BAHIA,Miguel Calmon,5.78,2020,agriculture +Caatinga,BAHIA,Jacobina,8.7,2020,agriculture +Caatinga,BAHIA,Tapiramutá,4.04,2020,agriculture +Caatinga,BAHIA,Caculé,3.22,2020,agriculture +Caatinga,BAHIA,Rio do Pires,1.94,2020,agriculture +Cerrado,BAHIA,Cocos,3.48,2020,agriculture +Cerrado,BAHIA,Cocos,32.03,2020,agriculture +Caatinga,BAHIA,Urandi,8.7,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,5.35,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,83.86,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,100.78,2020,agriculture +Mata Atlântica,BAHIA,Entre Rios,15.64,2020,agriculture +Mata Atlântica,BAHIA,Aiquara,7.21,2020,agriculture +Caatinga,BAHIA,Iaçu,66.86,2020,agriculture +Caatinga,BAHIA,Urandi,7.12,2020,agriculture +Caatinga,BAHIA,Carinhanha,62.32,2020,agriculture +Caatinga,BAHIA,Guajeru,0.81,2020,agriculture +Cerrado,BAHIA,Caetité,1.59,2020,agriculture +Caatinga,BAHIA,Brumado,25.53,2020,agriculture +Caatinga,BAHIA,Botuporã,3.22,2020,agriculture +Caatinga,BAHIA,Canudos,1.97,2020,agriculture +Caatinga,BAHIA,Tanhaçu,2.94,2020,agriculture +Mata Atlântica,BAHIA,Cândido Sales,6.03,2020,agriculture +Cerrado,BAHIA,Baianópolis,41.37,2021,agriculture +Mata Atlântica,BAHIA,Mata de São João,4.02,2021,agriculture +Mata Atlântica,BAHIA,Entre Rios,15.74,2021,agriculture +Mata Atlântica,BAHIA,Jaguaripe,1.92,2021,agriculture +Mata Atlântica,BAHIA,Barra do Choça,6.59,2021,ilegal_mining +Caatinga,BAHIA,Euclides da Cunha,11.69,2021,agriculture +Caatinga,BAHIA,Brejolândia,17.68,2021,agriculture +Mata Atlântica,BAHIA,Ubaíra,2.09,2021,agriculture +Caatinga,BAHIA,Heliópolis,13.22,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.24,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,3.79,2021,agriculture +Cerrado,BAHIA,São Desidério,330.84,2021,agriculture +Caatinga,BAHIA,Angical,10.16,2021,agriculture +Cerrado,BAHIA,Jaborandi,17.3,2021,agriculture +Mata Atlântica,BAHIA,Alagoinhas,11.83,2021,agriculture +Mata Atlântica,BAHIA,Cachoeira,2.58,2021,agriculture +Mata Atlântica,BAHIA,Teolândia,2.96,2021,agriculture +Mata Atlântica,BAHIA,Camacan,4.69,2021,agriculture +Caatinga,BAHIA,Serra Dourada,4.34,2021,agriculture +Cerrado,BAHIA,Catolândia,8.66,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,800.38,2021,agriculture +Caatinga,BAHIA,Jeremoabo,6.26,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,7.94,2021,agriculture +Mata Atlântica,BAHIA,Maraú,0.85,2021,agriculture +Mata Atlântica,BAHIA,Arataca,1.05,2021,agriculture +Caatinga,BAHIA,Jequié,2.84,2021,agriculture +Caatinga,BAHIA,Piritiba,1.2,2021,agriculture +Caatinga,BAHIA,Bonito,3.5,2021,agriculture +Caatinga,BAHIA,Mulungu do Morro,3.85,2021,agriculture +Caatinga,BAHIA,Paratinga,2.29,2021,agriculture +Caatinga,BAHIA,Rio do Pires,0.75,2021,agriculture +Caatinga,BAHIA,Rio do Pires,2.15,2021,agriculture +Caatinga,BAHIA,Paramirim,2.23,2021,agriculture +Caatinga,BAHIA,Brumado,17.28,2021,agriculture +Caatinga,BAHIA,Boninal,2.13,2021,agriculture +Caatinga,BAHIA,Cafarnaum,0.33,2021,agriculture +Caatinga,BAHIA,Jaguarari,1.92,2021,agriculture +Caatinga,BAHIA,Canudos,1.52,2021,agriculture +Cerrado,BAHIA,São Desidério,3.22,2021,agriculture +Caatinga,BAHIA,Condeúba,2.67,2021,agriculture +Cerrado,BAHIA,Correntina,0.79,2021,agriculture +Cerrado,BAHIA,Baianópolis,1.68,2021,agriculture +Caatinga,BAHIA,Ituaçu,10.08,2021,agriculture +Mata Atlântica,BAHIA,Santa Terezinha,3.75,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,30.03,2021,agriculture +Caatinga,BAHIA,Contendas do Sincorá,10.84,2021,agriculture +Caatinga,BAHIA,Carinhanha,9.74,2021,agriculture +Cerrado,BAHIA,Jaborandi,22.03,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,30.18,2021,agriculture +Cerrado,BAHIA,Cocos,253.16,2021,agriculture +Mata Atlântica,BAHIA,Maracás,3.59,2021,agriculture +Cerrado,BAHIA,Catolândia,16.02,2021,agriculture +Caatinga,BAHIA,Belo Campo,3.61,2021,agriculture +Caatinga,BAHIA,Paulo Afonso,33.5,2021,agriculture +Mata Atlântica,BAHIA,Coração de Maria,30.27,2021,agriculture +Caatinga,BAHIA,Presidente Jânio Quadros,47.05,2021,agriculture +Mata Atlântica,BAHIA,Itabela,2.11,2021,agriculture +Caatinga,BAHIA,Cotegipe,22.74,2021,agriculture +Caatinga,BAHIA,Cotegipe,3.28,2020,others +Cerrado,BAHIA,São Desidério,1.45,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.93,2020,others +Caatinga,BAHIA,Urandi,18.72,2020,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,3.36,2020,agriculture +Caatinga,BAHIA,Barra,0.89,2020,agriculture +Caatinga,BAHIA,Brejolândia,12.33,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,1.76,2020,others +Caatinga,BAHIA,Santa Rita de Cássia,6.08,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,2.11,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.95,2020,agriculture +Caatinga,BAHIA,Bom Jesus da Lapa,1.04,2020,agriculture +Caatinga,BAHIA,Iuiu,18.7,2020,others +Cerrado,BAHIA,Baianópolis,7.71,2020,agriculture +Caatinga,BAHIA,Jaborandi,2.79,2020,others +Caatinga,BAHIA,Santa Maria da Vitória,2.94,2020,agriculture +Cerrado,BAHIA,Baianópolis,3.28,2020,agriculture +Cerrado,BAHIA,São Desidério,6.46,2020,agriculture +Caatinga,BAHIA,Canápolis,14.41,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,2.3,2020,agriculture +Caatinga,BAHIA,Serra do Ramalho,4.91,2020,others +Caatinga,BAHIA,Sítio do Mato,1.65,2020,agriculture +Cerrado,BAHIA,Jaborandi,3.77,2020,agriculture +Cerrado,BAHIA,Correntina,2.98,2020,agriculture +Caatinga,BAHIA,São Félix do Coribe,18.9,2020,agriculture +Caatinga,BAHIA,Serra Dourada,5.32,2020,others +Caatinga,BAHIA,Brejolândia,7.92,2020,others +Caatinga,BAHIA,Buritirama,1.96,2020,others +Caatinga,BAHIA,Buritirama,0.89,2020,others +Caatinga,BAHIA,Buritirama,1.95,2020,others +Caatinga,BAHIA,Buritirama,1.08,2020,others +Caatinga,BAHIA,Buritirama,3.53,2020,agriculture +Caatinga,BAHIA,Buritirama,0.59,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,46.42,2020,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,2.21,2020,agriculture +Cerrado,BAHIA,Barreiras,10.05,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,23.81,2020,agriculture +Cerrado,BAHIA,Riachão das Neves,43.7,2020,agriculture +Caatinga,BAHIA,Feira da Mata,0.99,2020,agriculture +Caatinga,BAHIA,Carinhanha,3.95,2020,agriculture +Caatinga,BAHIA,Carinhanha,5.53,2020,agriculture +Caatinga,BAHIA,Carinhanha,4.63,2020,agriculture +Caatinga,BAHIA,Carinhanha,1.79,2020,agriculture +Cerrado,BAHIA,Jaborandi,16.03,2020,agriculture +Caatinga,BAHIA,Coribe,6.74,2020,agriculture +Caatinga,BAHIA,Carinhanha,11.17,2020,agriculture +Caatinga,BAHIA,Coribe,0.52,2020,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,3.46,2020,agriculture +Caatinga,BAHIA,Sebastião Laranjeiras,0.7,2021,others +Caatinga,BAHIA,Monte Santo,12.36,2021,agriculture +Caatinga,BAHIA,Mirangaba,11.79,2021,agriculture +Cerrado,BAHIA,Caetité,0.62,2021,others +Caatinga,BAHIA,Condeúba,1.59,2021,others +Caatinga,BAHIA,Angical,9.43,2021,agriculture +Cerrado,BAHIA,Baianópolis,174.9,2021,agriculture +Cerrado,BAHIA,Jaborandi,17.0,2021,agriculture +Mata Atlântica,BAHIA,Santa Luzia,0.42,2021,agriculture +Caatinga,BAHIA,Jaguarari,0.51,2021,agriculture +Caatinga,BAHIA,Vitória da Conquista,3.27,2021,others +Caatinga,BAHIA,Barra,1.34,2021,others +Caatinga,BAHIA,Uauá,1.71,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,4.52,2021,agriculture +Caatinga,BAHIA,Macururé,2.44,2021,agriculture +Caatinga,BAHIA,Wagner,5.67,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.22,2021,agriculture +Caatinga,BAHIA,Mundo Novo,4.02,2021,agriculture +Caatinga,BAHIA,Tanque Novo,0.36,2021,agriculture +Caatinga,BAHIA,Tucano,3.47,2021,agriculture +Caatinga,BAHIA,Cícero Dantas,5.55,2021,agriculture +Caatinga,BAHIA,Antas,11.74,2021,others +Caatinga,BAHIA,Jacaraci,2.56,2021,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.41,2021,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,8.32,2021,agriculture +Mata Atlântica,BAHIA,Dias d'Ávila,2.71,2021,agriculture +Mata Atlântica,BAHIA,Canavieiras,5.82,2021,agriculture +Mata Atlântica,BAHIA,Teolândia,1.26,2021,agriculture +Cerrado,BAHIA,Baianópolis,6.29,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,38.5,2021,agriculture +Mata Atlântica,BAHIA,Salvador,2.92,2021,agriculture +Mata Atlântica,BAHIA,Itagibá,4.33,2021,agriculture +Mata Atlântica,BAHIA,Ribeirão do Largo,8.92,2021,agriculture +Caatinga,BAHIA,Tanque Novo,5.03,2021,agriculture +Caatinga,BAHIA,Pilão Arcado,8.47,2021,agriculture +Cerrado,BAHIA,Baianópolis,77.99,2021,agriculture +Caatinga,BAHIA,Carinhanha,4.46,2021,agriculture +Mata Atlântica,BAHIA,Mascote,7.18,2021,agriculture +Mata Atlântica,BAHIA,Potiraguá,2.83,2021,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,1.46,2021,agriculture +Mata Atlântica,BAHIA,Itaju do Colônia,2.9,2021,agriculture +Mata Atlântica,BAHIA,Irajuba,11.78,2021,agriculture +Mata Atlântica,BAHIA,Itaquara,3.28,2021,agriculture +Caatinga,BAHIA,Licínio de Almeida,5.79,2021,agriculture +Cerrado,BAHIA,Baianópolis,9.91,2021,agriculture +Cerrado,BAHIA,Santa Rita de Cássia,10.84,2021,agriculture +Caatinga,BAHIA,Wanderley,33.65,2021,agriculture +Mata Atlântica,BAHIA,Itambé,2.24,2021,agriculture +Caatinga,BAHIA,Malhada,4.95,2021,agriculture +Caatinga,BAHIA,Novo Triunfo,20.0,2021,others +Caatinga,BAHIA,Palmas de Monte Alto,14.51,2021,others +Caatinga,BAHIA,Campo Alegre de Lourdes,4.82,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,1.26,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.92,2021,agriculture +Caatinga,BAHIA,Santaluz,1.23,2021,agriculture +Caatinga,BAHIA,Buritirama,0.88,2021,agriculture +Caatinga,BAHIA,Buritirama,1.14,2021,agriculture +Caatinga,BAHIA,Cotegipe,4.83,2021,agriculture +Caatinga,BAHIA,Wanderley,23.76,2021,agriculture +Caatinga,BAHIA,Sítio do Quinto,11.27,2021,agriculture +Caatinga,BAHIA,Palmas de Monte Alto,23.2,2021,agriculture +Caatinga,BAHIA,Barra,0.92,2021,others +Caatinga,BAHIA,Buritirama,4.15,2021,others +Caatinga,BAHIA,Licínio de Almeida,1.24,2021,others +Caatinga,BAHIA,Licínio de Almeida,6.24,2021,others +Caatinga,BAHIA,Morro do Chapéu,11.04,2021,agriculture +Caatinga,BAHIA,Casa Nova,15.4,2021,others +Caatinga,BAHIA,Itaberaba,1.08,2021,agriculture +Caatinga,BAHIA,Juazeiro,19.35,2021,agriculture +Caatinga,BAHIA,Sento Sé,15.76,2021,agriculture +Caatinga,BAHIA,Novo Triunfo,62.07,2021,agriculture +Caatinga,BAHIA,Macajuba,51.99,2021,others +Caatinga,BAHIA,Serra Dourada,2.73,2021,others +Caatinga,BAHIA,Riacho de Santana,11.26,2021,agriculture +Cerrado,BAHIA,Coribe,328.96,2021,agriculture +Caatinga,BAHIA,Cotegipe,27.81,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,135.33,2021,agriculture +Cerrado,BAHIA,São Desidério,2238.44,2021,agriculture +Caatinga,BAHIA,Brejolândia,18.8,2021,agriculture +Caatinga,BAHIA,Wanderley,49.04,2021,agriculture +Cerrado,BAHIA,Riachão das Neves,1.74,2021,agriculture +Caatinga,BAHIA,Sátiro Dias,76.52,2021,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,0.75,2021,agriculture +Cerrado,BAHIA,Cotegipe,56.34,2021,agriculture +Caatinga,BAHIA,Remanso,1.28,2021,agriculture +Cerrado,BAHIA,Cocos,101.3,2021,agriculture +Mata Atlântica,BAHIA,Ipecaetá,18.02,2022,agriculture +Mata Atlântica,BAHIA,Encruzilhada,41.39,2022,agriculture +Mata Atlântica,BAHIA,Mucuri,21.37,2022,agriculture +Mata Atlântica,BAHIA,Alcobaça,4.11,2022,agriculture +Mata Atlântica,BAHIA,Camacan,4.0,2022,agriculture +Mata Atlântica,BAHIA,Itamaraju,1.16,2022,agriculture +Mata Atlântica,BAHIA,Itapetinga,27.93,2022,agriculture +Cerrado,BAHIA,Barreiras,2262.46,2022,agriculture +Cerrado,BAHIA,Jaborandi,2027.38,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,16.34,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,26.81,2022,agriculture +Cerrado,BAHIA,Barreiras,169.7,2022,agriculture +Cerrado,BAHIA,Coribe,42.17,2022,agriculture +Caatinga,BAHIA,Remanso,5.75,2022,agriculture +Caatinga,BAHIA,Brejolândia,1.36,2022,agriculture +Caatinga,BAHIA,Brejolândia,2.35,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,224.27,2022,agriculture +Caatinga,BAHIA,Iaçu,11.23,2022,others +Caatinga,BAHIA,Lagoa Real,3.58,2022,agriculture +Cerrado,BAHIA,Tanque Novo,2.75,2022,agriculture +Caatinga,BAHIA,Inhambupe,11.33,2022,others +Caatinga,BAHIA,Paratinga,1.92,2022,others +Cerrado,BAHIA,Igaporã,11.68,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,7.75,2022,others +Caatinga,BAHIA,Boninal,9.38,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.28,2022,others +Caatinga,BAHIA,Boquira,4.17,2022,others +Caatinga,BAHIA,Campo Formoso,7.72,2022,others +Caatinga,BAHIA,Itapicuru,414.81,2022,others +Caatinga,BAHIA,Campo Formoso,2.59,2022,others +Caatinga,BAHIA,Matina,1.66,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,1.42,2022,others +Caatinga,BAHIA,Matina,56.01,2022,others +Mata Atlântica,BAHIA,Água Fria,151.27,2022,agriculture +Caatinga,BAHIA,Nova Soure,93.4,2022,agriculture +Caatinga,BAHIA,Riacho de Santana,19.98,2022,others +Cerrado,BAHIA,Igaporã,0.7,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,14.18,2022,agriculture +Caatinga,BAHIA,Paratinga,4.56,2022,agriculture +Caatinga,BAHIA,Dom Basílio,10.83,2022,others +Caatinga,BAHIA,Antônio Gonçalves,10.85,2022,others +Caatinga,BAHIA,Livramento de Nossa Senhora,0.64,2022,others +Caatinga,BAHIA,Paratinga,4.01,2022,others +Caatinga,BAHIA,Ipirá,0.84,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,3.25,2022,agriculture +Cerrado,BAHIA,Igaporã,6.0,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,1.06,2022,others +Cerrado,BAHIA,Igaporã,1.14,2022,agriculture +Caatinga,BAHIA,Ipirá,4.52,2022,agriculture +Caatinga,BAHIA,Livramento de Nossa Senhora,0.83,2022,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,4.84,2022,agriculture +Mata Atlântica,BAHIA,Tremedal,3.44,2022,agriculture +Mata Atlântica,BAHIA,Aramari,0.11,2022,agriculture +Caatinga,BAHIA,Santa Terezinha,16.67,2022,agriculture +Mata Atlântica,BAHIA,Jequié,8.68,2022,agriculture +Mata Atlântica,BAHIA,Piraí do Norte,0.24,2022,agriculture +Mata Atlântica,BAHIA,Vitória da Conquista,7.72,2022,agriculture +Cerrado,BAHIA,Correntina,7.41,2022,agriculture +Cerrado,BAHIA,Mansidão,18.81,2022,agriculture +Caatinga,BAHIA,Iraquara,29.15,2022,others +Cerrado,BAHIA,Baianópolis,12.46,2022,agriculture +Caatinga,BAHIA,Santa Rita de Cássia,2.71,2022,others +Caatinga,BAHIA,Muquém do São Francisco,1.66,2022,others +Caatinga,BAHIA,Mulungu do Morro,13.17,2022,agriculture +Cerrado,BAHIA,Caetité,1.54,2022,agriculture +Cerrado,BAHIA,Cotegipe,79.07,2022,agriculture +Caatinga,BAHIA,Ribeira do Pombal,11.18,2022,others +Caatinga,BAHIA,Morpará,0.79,2022,others +Caatinga,BAHIA,Sítio do Mato,1.27,2022,others +Caatinga,BAHIA,Bom Jesus da Lapa,2.09,2022,others +Caatinga,BAHIA,Biritinga,19.51,2022,others +Caatinga,BAHIA,Casa Nova,16.96,2022,others +Caatinga,BAHIA,Brumado,1.86,2022,others +Cerrado,BAHIA,Coribe,5.26,2022,agriculture +Caatinga,BAHIA,Morpará,3.17,2022,others +Caatinga,BAHIA,Serra do Ramalho,6.51,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,3.56,2022,others +Caatinga,BAHIA,Malhada,25.64,2022,agriculture +Caatinga,BAHIA,Jeremoabo,8.96,2022,others +Caatinga,BAHIA,Novo Triunfo,13.96,2022,others +Caatinga,BAHIA,Brumado,1.78,2022,others +Cerrado,BAHIA,Coribe,23.22,2022,agriculture +Cerrado,BAHIA,Cotegipe,3.84,2022,agriculture +Caatinga,BAHIA,Carinhanha,2.98,2022,agriculture +Caatinga,BAHIA,Aracatu,8.41,2022,agriculture +Caatinga,BAHIA,Sítio do Quinto,1.45,2022,others +Caatinga,BAHIA,Casa Nova,4.25,2022,others +Caatinga,BAHIA,Buritirama,0.92,2022,others +Caatinga,BAHIA,Monte Santo,4.52,2022,others +Caatinga,BAHIA,Buritirama,3.04,2022,others +Caatinga,BAHIA,Uauá,1.08,2022,others +Caatinga,BAHIA,Barra,1.57,2022,others +Caatinga,BAHIA,Serra Dourada,3.39,2022,agriculture +Caatinga,BAHIA,Cocos,26.15,2022,others +Caatinga,BAHIA,Palmas de Monte Alto,4.43,2022,others +Cerrado,BAHIA,Tabocas do Brejo Velho,3.21,2022,agriculture +Mata Atlântica,BAHIA,Barra do Choça,2.99,2022,agriculture +Mata Atlântica,BAHIA,Ilhéus,9.13,2022,agriculture +Mata Atlântica,BAHIA,Santa Luzia,2.51,2022,agriculture +Mata Atlântica,BAHIA,Cândido Sales,1.2,2022,agriculture +Caatinga,BAHIA,Xique-Xique,1.66,2022,others +Cerrado,BAHIA,São Desidério,178.7,2022,agriculture +Cerrado,BAHIA,São Desidério,40.21,2022,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,36.29,2022,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,13.11,2022,agriculture +Cerrado,BAHIA,Cocos,16.47,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,12342.73,2022,agriculture +Cerrado,BAHIA,Formosa do Rio Preto,7652.3,2022,agriculture +Cerrado,BAHIA,Mansidão,2.5,2021,agriculture +Cerrado,BAHIA,Caetité,2.04,2021,agriculture +Cerrado,BAHIA,Caetité,1.74,2021,agriculture +Cerrado,BAHIA,Caetité,1.74,2021,agriculture +Cerrado,BAHIA,Caetité,0.98,2021,agriculture +Cerrado,BAHIA,Caetité,52.86,2021,agriculture +Cerrado,BAHIA,Caetité,4.24,2021,agriculture +Cerrado,BAHIA,Caetité,1.13,2021,agriculture +Cerrado,BAHIA,Caetité,1.44,2021,agriculture +Cerrado,BAHIA,Caetité,3.09,2021,agriculture +Cerrado,BAHIA,Correntina,198.74,2021,agriculture +Cerrado,BAHIA,Tabocas do Brejo Velho,15.37,2021,agriculture +Cerrado,BAHIA,Baianópolis,7.42,2021,agriculture +Cerrado,BAHIA,Cocos,13.99,2021,agriculture +Cerrado,BAHIA,Cocos,7.72,2021,agriculture +Cerrado,BAHIA,São Desidério,18.37,2021,agriculture +Cerrado,BAHIA,Luís Eduardo Magalhães,21.72,2021,agriculture +Cerrado,BAHIA,São Desidério,2.62,2021,agriculture +Cerrado,BAHIA,São 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