CVIVApr 3, 2025

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

arXiv:2504.02214v31 citationsh-index: 4
Originality Synthesis-oriented
AI Analysis

This work tackles flood monitoring for disaster management and spatial decision-making, but it appears incremental as it reviews existing concepts and advances without introducing new methods.

The paper addresses the challenge of mapping flood extents using satellite data by integrating artificial intelligence techniques, resulting in outputs like flood extent maps, uncertainty estimation, and change detection for disaster management.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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