EGU26-15771, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-15771
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
PICO | Thursday, 07 May, 16:36–16:38 (CEST)
 
PICO spot 1b, PICO1b.9
Integrating Flood Susceptibility and Surface Water Persistence Using Geospatial AI for Flood Risk Monitoring
Golmar Golmohammadi1 and Nicholaos Tziolas2
Golmar Golmohammadi and Nicholaos Tziolas
  • 1Department of Soil, Water and Ecosystem Sciences, University of Florida, IFAS/RCREC, Ona, Florida, USA (g.golmohammadi@ufl.edu)
  • 2Department of Soil, Water and Ecosystem Sciences, University of Florida, IFAS/SFREC, Immokalee, Florida, USA (ntziolas@ufl.edu)

How to cite: Golmohammadi, G. and Tziolas, N.: Integrating Flood Susceptibility and Surface Water Persistence Using Geospatial AI for Flood Risk Monitoring, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15771, https://doi.org/10.5194/egusphere-egu26-15771, 2026.

This abstract has been withdrawn on 24 Mar 2026.