Authors : Dr. Neha R. Sharma, Amit Verma
ABSTRACT : The increasing frequency and severity of flood events worldwide have amplified the necessity for advanced spatial analysis tools to predict, monitor, and mitigate flood-related hazards. Geographic Information Systems (GIS) integrated with multi-source remote sensing data present a robust framework for generating accurate flood hazard maps. This study develops a GIS-based flood risk mapping approach utilizing high-resolution satellite imagery, digital elevation models (DEMs), land use/land cover (LULC) data, and hydrological parameters. The methodology integrates remote sensing data with hydrological modeling to delineate flood-prone zones and assess vulnerability indices. The resulting flood hazard map identifies critical zones susceptible to inundation, enabling proactive disaster preparedness and informed urban planning. The findings underscore the potential of integrating UAV-based imagery, Sentinel-2 data, and LiDAR-derived elevation models to enhance spatial accuracy and decision-making in flood risk assessment.
Keywords: Flood risk mapping, GIS, remote sensing, DEM, hydrological modeling, UAV, Sentinel-2, LiDAR
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