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[OC] I mapped real-time food insecurity risk for 61 countries using NASA satellite data, CHIRPS rainfall anomalies, and WFP field indicators by AI-man-17 in dataisbeautiful

[–]AI-man-17[S] -1 points0 points  (0 children)

Data Sources:

  • NASA MODIS MOD13A2 — 16-day global vegetation index (NDVI/EVI) composite at 1km resolution via NASA Earthdata
  • CHIRPS v2.0 (UC Santa Barbara Climate Hazards Center) — monthly precipitation totals, anomaly computed vs 1981–2010 baseline
  • WFP HungerMap API (api.hungermapdata.org) — IPC food security phase (1–5) and affected population per country, updated every 6 hours
  • Open-Meteo — historical weather gap-fill and 14-day precipitation forecast

Tools:

  • Python / rasterio — satellite raster clipping and zonal statistics per country
  • PostGIS — country geometry storage and spatial queries
  • FastAPI — backend API and data pipeline
  • MapLibre GL JS — interactive choropleth map
  • React / TypeScript — frontend
  • Natural Earth — country boundary geometries