This project visualizes the 2022 monsoon disaster onset in Sindh, Pakistan, one of the most flood-prone provinces in South Asia. Using Google Earth Engine (GEE), Sentinel-1 SAR imagery (VV + VH bands) was analyzed to extract raw flood extent and classify severity into Light, Moderate, and Severe categories. The analysis was refined to remove permanent water using the JRC Global Surface Water dataset. In QGIS, flood layers were overlaid with administrative district boundaries to estimate district-level exposure. Charts, maps, and tabular outputs were generated to highlight flood severity in Sindh’s most vulnerable districts—Dadu, Larkana, and Jacobabad—each experiencing over 1,000 km² of severe flooding.

This map layout was designed in QGIS to present all critical insights in a clear, informative format, intended for disaster response professionals, researchers, and policy planners.