Merge pull request #84 from nasaharvest/new-kenya-data

Add Kenya data

Author: ivanzvonkov

buildings-example/openmapflow.yaml

@@ -1,4 +1,4 @@
-version: 0.1.3
+version: 0.1.4
 project: buildings-example
 description: OpenMapFlow buildings example
 gcloud:

crop-mask-example/openmapflow.yaml

@@ -1,4 +1,4 @@
-version: 0.1.3
+version: 0.1.4
 project: crop-mask-example
 description: OpenMapFlow crop mask example
 gcloud:

maize-example/openmapflow.yaml

@@ -1,4 +1,4 @@
-version: 0.1.3
+version: 0.1.4
 project: maize-example
 description: OpenMapFlow maize example
 gcloud:

openmapflow/constants.py

@@ -13,7 +13,7 @@
 TEMPLATE_README = TEMPLATES_DIR / "README.md"
 TEMPLATE_DEPLOY_YML = TEMPLATES_DIR / "github-deploy.yaml"
 TEMPLATE_TEST_YML = TEMPLATES_DIR / "github-test.yaml"
-VERSION = "0.1.3"
+VERSION = "0.1.4"
 
 # -------------- Dataframe column names --------------------------------------
 SOURCE = "source"

openmapflow/datasets.py

@@ -10,6 +10,7 @@
     license="CC BY-3.0",
     country="global",
     download_url="https://storage.googleapis.com/harvest-public-assets/openmapflow/datasets/crop/geowiki_landcover_2017.csv",
+    source_code_url="https://github.com/nasaharvest/crop-mask/blob/master/datasets.py",
 )
 
 togo_crop_2019 = ExistingLabeledDataset(
@@ -24,6 +25,17 @@
         + "crop maps in data sparse regions. In ACM SIGKDD Conference on Data Mining and "
         + "Knowledge Discovery Workshops, 2020."
     ),
+    source_code_url="https://github.com/nasaharvest/crop-mask/blob/master/datasets.py",
 )
 
-datasets = [geowiki_landcover_2017, togo_crop_2019]
+kenya_crop_2018_2019 = ExistingLabeledDataset(
+    country="Kenya",
+    dataset="Kenya_2018_2019",
+    label_type="binary",
+    license="CC BY-4.0",
+    download_url="https://storage.googleapis.com/harvest-public-assets/openmapflow/datasets/crop/Kenya_2018_2019.csv",
+    source_code_url="https://github.com/nasaharvest/crop-mask/blob/master/datasets.py",
+)
+
+
+datasets = [geowiki_landcover_2017, togo_crop_2019, kenya_crop_2018_2019]

openmapflow/labeled_dataset_existing.py

@@ -10,6 +10,7 @@
 @dataclass
 class ExistingLabeledDataset(LabeledDataset):
 
+    source_code_url: str = ""
     download_url: str = ""
     chunk_size: int = 1024