Remote Sensing and GIS-Based Flood Mitigation Model Using Maps

Abstract

Floods pose significant risks to human life, infrastructure, and the environment. Advanced geospatial technologies such as Remote Sensing (RS) and Geographic Information Systems (GIS) provide effective tools for flood hazard assessment, mapping, and mitigation. This study integrates RS and GIS to develop a flood mitigation model that identifies flood-prone areas using satellite imagery, digital elevation models (DEMs), and hydrological data. The model aids in early warning systems, urban planning, and disaster management by assessing flood risk zones and recommending mitigation strategies. The results highlight the effectiveness of geospatial techniques in improving flood resilience and disaster preparedness.