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.


Conveners will be contacted by the AGU25 Program Committee with any requests for mergers or edits to proposals. Conveners will be notified of the acceptance of their proposal in mid-June.


Abstract submissions will also open in mid-June and the deadline for abstract submissions is 30 July, 2025.


Please visit the AGU25 website for more information or please contact AGU with any questions.

Abstract: GEE-FMF: A Google Earth Engine-Based Machine Learning Framework for Efficient Regional Flood Mapping (AGU25)

GEE-FMF: A Google Earth Engine-Based Machine Learning Framework for Efficient Regional Flood Mapping

Saide Zand1,2, Hamed Moftakhari1,2, Ebrahim Ebrahim Hamidi1,3 and Hamid Moradkhani1,2, (1)The University of Alabama, Department of Civil, Construction, and Environmental Engineering, Tuscaloosa, United States, (2)The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, United States, (3)North Carolina State University, Department of Civil, Construction, and Environmental Engineering, Raleigh, United States
<< Previous Abstract | Next Abstract >>