Dr. Veena Raparthi, Dr. Durgesh Kurmi, Dr. Kethoori Venkatesh (9-23)
ABSTRACT
Floods in India annually result in numerous fatalities and substantial economic damage, making flood monitoring essential for understanding their patterns and characteristics to aid in mitigation efforts. This study investigates the impact of extreme rainfall events at the Khammam district. Some areas in Khammam received over 20cm of one-day rainfall, resulting in substantial Inundation of 100 villages, cropland and 5 fatalities. The research aims to Map the flood event using Sentinel-1 SAR data and quantify the impact on different land cover classes.
The study used Sentinel-1 Synthetic Aperture Radar (SAR) data and Google Earth Engine (GEE) to map and analyze flood inundation patterns. SAR is crucial for flood hazard mapping and monitoring because it can image the Earth’s surface regardless of weather conditions or time of day. The findings show that 25684 hectares of land were inundated, representing 5.7% of the study area, with croplands being the most affected (24710 hectares), followed by rangeland (138.39 hectares). Built-up areas also experienced inundation, affecting 154 hectares of infrastructure.
The study highlights the vulnerability of agricultural livelihoods to extreme weather events and underscores the importance of using remote sensing technologies like SAR for accurate and timely flood monitoring. The insights from this research can inform better flood management and mitigation strategies, emphasizing the need for effective disaster management, Climate Resilient planning, and sustainable agricultural practices.
Keywords: Flood Inundation, Sentinel-1 SAR, Google Earth Engine, Land Use Land Cover and Disaster Management,