This project maps flood risk across Makkah City using GIS analysis, remote sensing, and hydrological modeling. I combined a 30m SRTM DEM, land cover classification, slope analysis, precipitation data, and SWMM simulations into a weighted overlay that classified the entire city into five flood risk levels. The final static map was featured by Al Yaum, a Saudi national newspaper.

I later converted the analysis into a fully interactive 3D web map using Mapbox GL JS. The app renders live SRTM terrain with adjustable exaggeration, extruded 3D buildings, and classified risk zone overlays that users can filter by class directly from the legend. It also includes a cinematic six-waypoint flythrough of the study area, fly-to presets for key locations including Al Haram Mosque, and basemap switching between satellite, dark, and light modes. The entire application runs as a single HTML file with no build tools or dependencies, deployed on Vercel.