szahaykevich/JongleiSuitability

Interactive GIS suitability app for flood-resilient settlement planning in Jonglei, South Sudan. # Jonglei Flood-Resilient Resettlement Suitability Interactive React/Vercel GIS app for flood-resilient settlement planning in Jonglei State, South Sudan. The project combines standardized raster criteria into three map surfaces: - Flood Hazard Index (FHI) - Social Vulnerability Index (SVI) - Final Suitability Index (SI) The browser app displays lightweight preview data, lets users adjust internal FHI and SVI component weights, and recalculates the maps dynamically without loading full GeoTIFF files in the frontend. ## Methodology Overview This suitability model follows a multi-criteria decision analysis (MCDA) workflow. The source criteria are standardized to a common 1-5 ordinal scale, aligned to the same raster grid, and combined using weighted linear overlay. All raster inputs are expected to share: - CRS: WGS 1984 UTM Zone 36N - Resolution: 30 meters - Alignment: DEM-derived snap raster/grid - Extent: Jonglei AOI mask - Standardized class range: 1-5 Higher FHI values represent worse flood hazard. Higher SVI values represent worse social vulnerability. The final SI is a suitability surface, where higher values represent more suitable conditions for flood-resilient resettlement. ## Flood Hazard Index The Flood Hazard Index uses seven environmental and physical criteria: | Criterion | Input raster | Weight | | --- | --- | ---: | | Elevation | `Reclass_DEM_7.tif` | 0.1809 | | Slope | `Reclass_Slope_7.tif` | 0.1829 | | Land use / land cover | `Reclass_LULC_7.tif` | 0.1195 | | Soil texture | `Reclass_Soil_7.tif` | 0.0724 | | Rainfall | `Reclass_Rain_7.tif` | 0.1273 | | Distance to river | `Reclass_River_7.tif` | 0.1423 | | Topographic Wetness Index | `Reclass_TWI_7.tif` | 0.1748 | The FHI is calculated as: ```text FHI = sum(FHI criterion * FHI criterion weight) ``` ## Social Vulnerability Index The Social Vulnerability Index uses four access, population, and conflict criteria with equal weights: | Criterion | Input raster | Weight | | --- | --- | --- …