Geospatial Artificial Intelligence for Satellite-based Flood Extent Mapping: Concepts, Advances, and Future Perspectives

• URL: http://arxiv.org/abs/2504.02214v2
• Date: Tue, 08 Apr 2025 04:59:39 GMT
• Title: Geospatial Artificial Intelligence for Satellite-based Flood Extent Mapping: Concepts, Advances, and Future Perspectives
• Authors: Hyunho Lee, Wenwen Li,
• Abstract summary: GeoAI for satellite-based flood extent mapping integrates artificial intelligence techniques with satellite data to identify flood events and assess their impacts.<n>Primary output often includes flood extent maps, which delineate the affected areas, along with additional analytical outputs such as uncertainty estimation and change detection.
• Score: 1.842368798362815
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Geospatial Artificial Intelligence (GeoAI) for satellite-based flood extent mapping systematically integrates artificial intelligence techniques with satellite data to identify flood events and assess their impacts, for disaster management and spatial decision-making. The primary output often includes flood extent maps, which delineate the affected areas, along with additional analytical outputs such as uncertainty estimation and change detection.

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