AUTOMATIC FLOOD DETECTION FROM SENTINEL-1 DATA USING DEEP LEARNING ARCHITECTURES

• Published in: ISPRS annals of the photogrammetry, remote sensing and spatial information sciences Vol. V-3-2022; pp. 201 - 208
• Main Authors: Ghosh, B., Garg, S., Motagh, M.
• Format: Journal Article
• Language: English
• Published: Gottingen Copernicus GmbH 17.05.2022; Copernicus Publications
• Subjects: Algorithms; Backscattering; Datasets; Deep learning; Disaster management; Emergency preparedness; Flood control; Floods; Image segmentation; Machine learning; Natural disasters; Satellite imagery; Satellites

Floods are the most frequent, costliest natural disasters having devastating consequences on people, infrastructure, and the ecosystem. During flood events near real-time satellite imagery has proven to be an efficient management tool for disaster management authorities. However one of the challenge...