How it works
Five independent satellite and survey programs are downloaded, clipped to Yemen's administrative boundaries, aggregated per district, and combined into the indices and indicators the dashboard shows — updated automatically as new data arrives.
GRACE-FO groundwater, CHIRPS rainfall, MODIS ET/NDVI/LST, WorldPop population, and SRTM elevation.
Each raster is clipped to district polygons and summarized into one value per district per date.
Groundwater anomaly, rainfall anomaly / SPI-3, evapotranspiration, vegetation health, land surface temperature, population, elevation.
Composite scores like the Water Stress Index and drought severity, recomputed per district as new data arrives.
The modules, one by one
Three modules are live and fully computed. Four more are in development — their names and icons already appear in the dashboard's sidebar, greyed out, so you can see what's coming.
Browse and download the platform's environmental datasets for every district in Yemen: rainfall, groundwater anomaly, evapotranspiration, vegetation health (NDVI), land surface temperature, population, elevation, and the computed Water Stress Index. Filter by governorate, district, and date range, and export as CSV. The displayed values are monthly estimates for each district (elevation is the one exception — it's a one-time terrain measurement, not a monthly reading).
Tracks a district-level Water Stress Index (WSI): a 0–100 composite score combining a groundwater trend from NASA's GRACE-FO satellites (65% of the score), a rainfall/SPI-3 signal from CHIRPS (20%), and aquifer depth (15%). Scores are classified Normal (0–30), Moderate (30–55), Severe (55–75), or Critical (75–100), and recomputed weekly. See the Methodology page for the exact formula, and note that aquifer depth hasn't been sourced for any district yet — that 15% currently falls back to a neutral placeholder rather than a real measurement.
Classifies meteorological drought per district using the 3-month Standardized Precipitation Index (SPI-3): the last 3 months of rainfall compared against that same district's own 1981–2010 CHIRPS climatology. Values are classified on the standard 7-class scale, from extreme drought to extremely wet, so a given SPI value means the same relative severity everywhere — regardless of how much rain a district normally gets.
Planned to bring crop-relevant vegetation and moisture indicators into a food security risk view.
Planned to track flood risk across Yemen's districts.
Planned as a solar site selector — scoring site suitability for solar energy infrastructure.
Planned as an early-warning system — projecting trends forward instead of only showing current and historical state.
