Developed an automated, cloud-based flood-mapping workflow in Google Earth Engine using Sentinel‑1 SAR to rapidly map Cyclone Amphan–induced flooding in Khulna, supporting disaster risk reduction and emergency response use cases.

• Implemented SAR preprocessing (Refined Lee filter), pre/post-event backscatter ratioing, and a calibrated threshold to detect inundation robustly under monsoon cloud cover.

• Integrated multi-source layers (JRC Global Surface Water, HydroSHEDS slope) to mask permanent water and steep terrain, reducing false positives and achieving a clean, operational flood product suitable for humanitarian and government partners.

• Produced geospatial outputs (GeoTIFF, CSV area statistics) showing ~2.33% of the district flooded, directly usable for climate resilience planning, damage assessment, and flood-risk modeling.

GitHub: https://github.com/mohammadoney/Amphan-Flood-Mapping-Khulna-Bangladesh