Rapid Floodwater Mapping and Depth Analysis Using Optical UAV and SAR Technology

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Dr. Hashemi-Beni’s presentation will discuss harnessing geospatial data science and remote sensing data fusion for flood mapping. The need for fast processing and classification of massive remote sensing datasets for near real-time monitoring of floods and other rapidly changing events makes a compelling argument for integrating deep learning methods into sensing approaches to create fast and accurate flood maps. These maps can provide crucial information for delineating flood-affected areas, assessing damage (e.g., roads, bridges, infrastructures), and feeding models that predict the vulnerability of inland and coastal areas to flooding.