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: Deep Learning-Based Automated Landslide Detection Framework: Fusing Multi-Band Optical and SAR Image (AGU25)

Deep Learning-Based Automated Landslide Detection Framework: Fusing Multi-Band Optical and SAR Image

Yunsu Roh, Kookmin University, Department of Forest Resources, Seoul, Korea, Republic of (South), Chul-Hee Lim, Kookmin University, Department of Forestry, Environment, and Systems, Seoul, Korea, Republic of (South) and Daesung Yang, Korea Association of Forest Enviro-conservation Technology, Division of Research, Chungcheongbuk-do, South Korea