Spatio-Temporal Analysis of Flood Disaster Impacts on Agriculture in Western Maharashtra Rivers

Recent climate variability and extreme hydrometeorological events have significantly increased the frequency and severity of floods across India, posing serious challenges to environmental sustainability and disaster management. Flooding remains one of the most damaging natural hazards, adversely affecting human life, infrastructure, agriculture, and regional economies. The present study aims to develop an integrated flood rescue, relief, and management framework using geospatial technologies, with Satara District of Maharashtra selected as the study area.

A long-term flood disaster management approach has been adopted through the integration of Remote Sensing (RS), Geographic Information System (GIS), and Global Positioning System (GPS) techniques. Multi-temporal satellite data and spatial datasets were processed and analyzed to evaluate flood hazard intensity, land use–land cover changes, topographic variation, hydrological imbalance, and spatial patterns of vulnerability. GIS-based spatial modeling was employed to identify flood-prone zones and assess their impact on natural and built environments.

The results demonstrate that geospatial technology–based analysis provides an effective and reliable decision-support system for flood rescue, relief, and mitigation planning. The developed integrated flood management plan supports sustainable land-use planning and enhances preparedness, response, and risk reduction strategies. This study highlights the potential of RS and GIS as essential tools for informed flood disaster management and regional planning in flood-prone areas.