Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset

Exploring foci of: arXiv (Cornell University) Leveraging Citizen Science for Flood Extent Detection using Machine Learning Benchmark Dataset November 2023 • Muthukumaran Ramasubramanian, Iksha Gurung, Shubhankar Gahlot, Ronny Hänsch, Andrew Molthan, Manil Maskey Accurate detection of inundated water extents during flooding events is crucial in emergency response decisions and aids in recovery efforts. Satellite Remote Sensing data provides a global framework for detecting flooding extents. Specifically, Sentinel-1 C-Band Synthetic Aperture Radar (SAR) imagery has proven to be useful in detecting water bodies due to low backscatter of water features in both co-polarized and cross-polarized SAR imagery. However, increased backscatter can be observed in certain flooded regio… Open Article Page

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