This Repository provides references and links to publications, peer-reviewed articles, and mentions of the Climate TRACE sector leads and members.
Refer to our most up-to-date methodologies for specific sector approaches to estimate emissions.
To view and download Climate TRACE emissions data, visit the Climate TRACE website.
- Hancock, S.E., Jacob, D.J., Chen, Z., Nesser, H., Davitt, A., Varon, D.J., Sulprizio, M.P., Balasus, N., Estrada, L.A., Cazorla, M. and Dawidowski, L., 2025.
Satellite quantification of methane emissions from South American countries: a high-resolution inversion of TROPOMI and GOSAT observations.
Atmospheric Chemistry and Physics, 25(2), pp.797–817.
https://acp.copernicus.org/articles/25/797/2025/
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Ginting, F.I., Rudiyanto, R., Fatchurrachman et al., 2025.
High-resolution maps of rice cropping intensity across Southeast Asia.
Scientific Data, 12, 1408.
https://doi.org/10.1038/s41597-025-05722-1 -
Fatchurrachman, Rudiyanto, Soh, N.C., Shah, R.M., Giap, S.G.E., Setiawan, B.I. and Minasny, B., 2022.
High-Resolution Mapping of Paddy Rice Extent and Growth Stages across Peninsular Malaysia Using a Fusion of Sentinel-1 and 2 Time Series Data in Google Earth Engine.
Remote Sensing, 14(8), p.1875.
https://doi.org/10.3390/rs14081875 -
Rudiyanto, Minasny, B., Shah, R.M., Che Soh, N., Arif, C. and Indra Setiawan, B., 2019.
Automated near-real-time mapping and monitoring of rice extent, cropping patterns, and growth stages in Southeast Asia using Sentinel-1 time series on a Google Earth Engine platform.
Remote Sensing, 11(14), p.1666.
https://doi.org/10.3390/rs11141666
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Northrup, D.L., Basso, B., Wang, M.Q., Morgan, C.L. and Benfey, P.N., 2021.
Novel technologies for emission reduction complement conservation agriculture to achieve negative emissions from row-crop production.
Proceedings of the National Academy of Sciences, 118(28), p.e2022666118.
https://www.pnas.org/doi/10.1073/pnas.2022666118 -
Saha, D., Basso, B. and Robertson, G.P., 2021.
Machine learning improves predictions of agricultural nitrous oxide (N₂O) emissions from intensively managed cropping systems.
Environmental Research Letters, 16(2), p.024004.
https://iopscience.iop.org/article/10.1088/1748-9326/abd2f3/meta
- Xu, L., Saatchi, S.S., Yang, Y., Yu, Y., Pongratz, J., Bloom, A.A., Bowman, K., Worden, J., Liu, J., Yin, Y. and Domke, G., 2021.
Changes in global terrestrial live biomass over the 21st century.
Science Advances, 7(27), p.eabe9829.
https://www.science.org/doi/10.1126/sciadv.abe9829
- da Costa, L.M., Davitt, A., Volpato, G., de Mendonça, G.C., Panosso, A.R. and La Scala Jr, N., 2025.
A comparative analysis of GHG inventories and ecosystems carbon absorption in Brazil.
Science of the Total Environment, 958, p.177932.
https://www.sciencedirect.com/science/article/abs/pii/S0048969724080896
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Lu, X., Jacob, D.J., Wang, H., Maasakkers, J.D., Zhang, Y., Scarpelli, T.R., Shen, L., Qu, Z., Sulprizio, M.P., Nesser, H., Bloom, A.A., Ma, S., Worden, J.R., Fan, S., Parker, R.J., Boesch, H., Gautam, R., Gordon, D., Moran, M.D., Reuland, F., Villasana, C.A.O. and Andrews, A., 2022.
Methane emissions in the United States, Canada, and Mexico: evaluation of national methane emission inventories and 2010–2017 sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH₄ ObsPack) and satellite (GOSAT) atmospheric observations.
Atmospheric Chemistry and Physics, 22, pp.395–418.
https://acp.copernicus.org/articles/22/395/2022/ -
Scarpelli, T.R., Jacob, D.J., Grossman, S., Lu, X., Qu, Z., Sulprizio, M.P., Zhang, Y., Reuland, F., Gordon, D. and Worden, J.R., 2022.
Updated Global Fuel Exploitation Inventory (GFEI) for methane emissions from the oil, gas, and coal sectors: evaluation with inversions of atmospheric methane observations.
Atmospheric Chemistry and Physics, 22(5), pp.3235–3249.
https://doi.org/10.5194/acp-22-3235-2022
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Couture, H.D., Alvara, M., Freeman, J., Davitt, A., Koenig, H., Kargar, A.R., O’Connor, J., Söldner-Rembold, I., Ferreira, A., Jeyaratnam, J. and Lewis, J., 2024.
Estimating Carbon Dioxide Emissions from Power Plant Water Vapor Plumes Using Satellite Imagery and Machine Learning.
Remote Sensing, 16(7), p.1290.
https://doi.org/10.3390/rs16071290 -
Hobbs, M., Kargar, A.R., Couture, H., Freeman, J., Söldner-Rembold, I., Ferreira, A., Jeyaratnam, J., O’Connor, J., Lewis, J., Koenig, H. and McCormick, C., 2023.
Inferring Carbon Dioxide Emissions From Power Plants Using Satellite Imagery and Machine Learning.
IGARSS 2023 – IEEE International Geoscience and Remote Sensing Symposium.
https://ieeexplore.ieee.org/abstract/document/10283046 -
Couture, H.D., O'Connor, J., Mitchell, G., Söldner-Rembold, I., D’souza, D., Karra, K., Zhang, K., Kargar, A.R., Kassel, T., Goldman, B., Tyrrell, D., Czerwinski, W., Talekar, A. and McCormick, C., 2020.
Towards Tracking the Emissions of Every Power Plant on the Planet.
NeurIPS 2020 Workshop on Tackling Climate Change with Machine Learning.
https://www.climatechange.ai/papers/neurips2020/11 -
Couture, H., 2020.
How to track the emissions of every power plant on the planet from space.
IEEE Spectrum.
https://spectrum.ieee.org/how-to-track-the-emissions-of-every-power-plant-on-the-planet-from-space
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Etzion, D., Baudoin, L., Pongeluppe, L.S., Callery, P.J., Lancaster, C.A. and Panwar, R., 2025.
Good Data, Good Questions: Leveraging Comprehensive, Direct-Observation Data Sets for Impactful Research on Organizations and the Environment.
Journal of Management Inquiry.
https://doi.org/10.1177/10860266251403388 -
Kadach, I., Koo, M., Martin, X. and Zhao, M., 2024.
Decipher Market Responses to Climate TRACE Emission Data Release.
SSRN.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4961358 -
Zhang, B., Kang, J. and Feng, T., 2024.
Global disparities in CO₂ emissions from mobility sectors of diverse economies: A macroscopic exploration across 188 countries/regions.
Environmental and Sustainability Indicators, 23, p.100455.
https://doi.org/10.1016/j.indic.2024.100455
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Shukla, S., Horowitz, C., Reuland, F., Damon, G. and Escudero, J.P. 2025.
Hunting methane using satellites: A guide for policymakers.
Los Angeles, CA: UCLA Law Emmett Institute on Climate Change and the Environment and UC Berkeley Law Center for Law, Energy & the Environment.
https://law.ucla.edu/sites/default/files/PDFs/Publications/Hunting%20Methane%20Using%20Satellites_CLEE_Apr2025final.pdf -
Hsu, A. and Schletz, M., 2024.
Digital technologies–the missing link between climate action transparency and accountability?.
Climate Policy, 24(2), pp.193-210.,
https://doi.org/10.1080/14693062.2023.2237937 -
Gupta, A., 2023.
The advent of ‘radical’ transparency: Transforming multilateral climate politics?
PLOS Climate, 2(1), e0000117.
https://doi.org/10.1371/journal.pclm.0000117 -
Gore, A., 2022.
Measure emissions to manage emissions.
Science, 378(6619), pp.455–455.
https://doi.org/10.1126/science.adf5788
- Zhang, G., Xiao, X., Dong, J., Xin, F., Zhang, Y., Qin, Y., Doughty, R.B. and Moore, B., 2020.
Fingerprint of rice paddies in spatial–temporal dynamics of atmospheric methane concentration in monsoon Asia.
Nature Communications, 11(1), pp.1–11.
https://doi.org/10.1038/s41467-019-14155-5
- International Civil Aviation Organization, 2018.
ICAO Carbon Emissions Calculator Methodology, Version 11.
https://www.icao.int/environmental-protection/CarbonOffset/Documents/Methodology%20ICAO%20Carbon%20Calculator_v11-2018.pdf
All publications listed remain the intellectual property of their respective authors and publishers. This document serves as a curated reference list for Climate TRACE–related research.
For more information, visit https://climatetrace.org.