CCART Static Flood Susceptibility Index (FSI) for India (0.05°), Derived from Indo‑Floods Basin Validation

Overview This dataset provides the static Flood Susceptibility Index (FSI) for India at 0.05° resolution, produced within the CCART (Climate Change Assessment & Risk Toolkit) framework. Static FSI represents the historical flood‑prone tendency of each pixel, derived from Indo‑Floods basin‑level validation and extended nationally as a reference susceptibility layer. Values range from 0 to 1, where higher values indicate greater historical flood susceptibility. Purpose Static FSI is a foundational reference layer for: static flood risk (FSI × Exposure × Vulnerability) hazard–exposure–vulnerability integration district‑level diagnostics national‑scale flood communication planning and zoning support reproducible open‑science workflows It is fully aligned with CCART’s exposure layer and hazard grids. Data Characteristics Format: GeoTIFF (float32 or uint8 scaled) Resolution: 0.05° CRS: EPSG:4326 Value range: 0–1 Nodata: 255 (if uint8) or NaN (if float32) Spatial extent: India national boundary File size: lightweight and accessible Source Attribution Static FSI is derived from the Indo‑Floods basin‑level flood susceptibility validation framework. It is a CCART‑processed scientific layer and does not redistribute any proprietary upstream data. Processing Steps (CCART) Ingested Indo‑Floods basin‑level susceptibility values Rasterized basin‑level FSI to 0.05° grid Normalized values to 0–1 Extended to national grid with validated regions retaining empirical values Assigned 0 susceptibility where static FSI is not available Verified alignment with CCART exposure and hazard grids Exported as a compressed GeoTIFF These steps ensure reproducibility and scientific transparency. Use and Citation This dataset forms part of CCART’s open, modular, reproducible climate‑risk engine for India. Please cite as: Ketan (2026). CCART Static Flood Susceptibility Index (FSI) for India (0.05°), Derived from Indo‑Floods Basin Validation. Zenodo. DOI: 10.5281/zenodo.19647263