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 Spatiotemporal Models for Bushfire Detection Using Himawari-9 Satellite Data (AGU25)

Deep Learning-Based Spatiotemporal Models for Bushfire Detection Using Himawari-9 Satellite Data

Husam AL-Najjar1, Ziyi Yang2, Bahareh Kalantar3, Ghassan Beydoun2 and Naonori Ueda4, (1)University of Technology Sydney, School of Computer Science, Faculty of Engineering and IT, Sydney, NSW, Australia, (2)University of Technology Sydney, School of Computer Science, Faculty of Engineering and IT, Ultimo, Australia, (3)RIKEN Center for Advanced Intelligence Project, Wako, Japan, (4)RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
<< Previous Abstract | Next Abstract >>