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: Deep Learning for Clouds, Cloud Shadow, and Plume Segmentation in Methane Satellite and Airborne Imaging Spectroscopy (AGU25)

Deep Learning for Clouds, Cloud Shadow, and Plume Segmentation in Methane Satellite and Airborne Imaging Spectroscopy

Maya Nasr1, Manuel Pérez-Carrasco2, Sébastien Roche3, Christopher Chan Miller3, Dr. Zhan Zhang, PhD1, Javier Roger4, Core Francisco Park5, Eleanor Walker6, Cecilia Garraffo7, Douglas Finkbeiner5, Daniel J. Varon8, Kang Sun7, Jonathan E Franklin5, Ritesh Gautam1, Steven C Wofsy5 and Manuel Pérez-Carrasco, (1)Environmental Defense Fund, New York, United States, (2)Center for Data and AI, Universidad de Concepción, Concepción, Chile, (3)Environmental Defense Fund, Harvard University, Cambridge, United States, (4)Research Institute of Water and Environmental Engineering (IIAMA), Universitat Politècnica de València, Valencia, Spain, (5)Harvard University, Cambridge, United States, (6)Stanford University, Earth Systems Science, Stanford, United States, (7)Harvard-Smithsonian Center for Astrophysics, Cambridge, United States, (8)Harvard University, School of Engineering and Applied Sciences, Cambridge, United States