Designing Flood Risk Reduction Plan for Kalat Division, Balochistan
Keywords:
Kalat Division, Satellite Imagery, Remote Sensing Techniques, Watershed AnalysisAbstract
Flood risk mitigation is crucial in the Kalat Division of Balochistan Province due to frequent flooding events that endanger lives and infrastructure. This study introduces a novel approach by integrating Landsat 8-9 OLI data with advanced remote sensing techniques to address flood risks in the region, an approach not previously utilized. Covering the period from 2015 to 2022, the research employs satellite imagery and indices such as NDWI, MNDWI, NDVI, LULC, and Watershed Analysis, with thorough pre-processing to ensure data accuracy. NDWI and MNDWI analyses effectively mapped and monitored water bodies, pinpointing vulnerable areas essential for flood risk assessment. NDVI analysis revealed significant correlations between vegetation dynamics and flooding, highlighting ecological impacts. LULC analysis identified substantial changes in land use patterns, emphasizing the role of human activities in flood vulnerability. Watershed Analysis offered valuable insights into hydrological dynamics and precipitation patterns, supporting flood prediction and mitigation efforts. This integrated approach provided a comprehensive understanding of climatic, hydrological, and land cover factors contributing to flood vulnerability, enabling the development of evidence-based flood risk management strategies. The findings enhance the Kalat Division's resilience against future floods through informed, evidence-based mitigation strategies.
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