The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Machine learning-based analysis of oil and gas methane emissions in the Gulf of Mexico using publicly available satellite data (AGU25)

Machine learning-based analysis of oil and gas methane emissions in the Gulf of Mexico using publicly available satellite data

Pedro de Melo, Boulder, Colorado, UNITED STATES, Daniel J. Varon, Harvard University, School of Engineering and Applied Sciences, Cambridge, United States, Nikolay Balashov, USRA/NASA Goddard Space Flight Center, Greenbelt, United States, Ryan M Stauffer, NASA Goddard Space Flight Center, Greenbelt, United States, Daven K Henze, University of Colorado Boulder, Boulder, United States and Lori Bruhwiler, NOAA, Global Monitoring Laboratory, Boulder, United States