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: Combining drone imagery and computer vision to characterize pre- and post-fire forest conditions in northeastern Siberia (AGU25)

Combining drone imagery and computer vision to characterize pre- and post-fire forest conditions in northeastern Siberia

Michael M Loranty1, Heather Dawn Alexander2, Elias Manos3, Amal Perera4, Michael Pimenta3 and Chandi Witharana3, (1)Colgate University, Geography, Hamilton, NY, United States, (2)Auburn University, Auburn, United States, (3)University of Connecticut, Natural Resources and the Environment, Storrs, United States, (4)University of Connecticut, Natural Resources and Environment, Storrs Mansfield, United States
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