Recent Advances in Remote Sensing and Modeling of Flood Inundation

Session ID#: 280626

Session Description:
Flood Inundation Mapping (FIM) is a key element of flood forecasting, response, and analysis frameworks. Efforts toward the development of large-scale (national to global) and high-fidelity flood prediction frameworks have highlighted key knowledge and technical gaps. Improvements in the efficiency of numerical solvers and data processing tools offer unprecedented capabilities for scaling FIM solutions over large domains at high spatial and temporal fidelity. Exciting advancements in hydraulic modeling, high-resolution terrain processing, and high-resolution remote sensing have the potential to advance FIM capabilities and enable robust flood impact analysis, especially in urban and coastal environments, which are pressing societal concerns. This multi-year running session aims to showcase FIM advances, including modeling, remote sensing, and impact analysis, and explore the implementation or potential scaling of these tools within large-scale and/or operational frameworks.
Co-Sponsor(s):
  • NH - Natural Hazards
Index Terms:

1817 Extreme events [HYDROLOGY]
1821 Floods [HYDROLOGY]
1834 Human impacts [HYDROLOGY]
1847 Modeling [HYDROLOGY]
Primary Convener:  Sagy Cohen, University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States
Conveners:  Lori A. Schultz, University of Alabama in Huntsville, Huntsville, AL, United States and Arjen Haag, Deltares, Delft, Netherlands
Student/Early Career Convener:  Dipsikha Devi, The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States
See more of: Hydrology