Yemen Environmental Intelligence Platform
YEIP turns satellite and survey data into district-level environmental intelligence for Yemen. Three modules are live today — groundwater, drought, and a full data explorer — with agriculture, flood risk, solar siting, and forecasting tools underway. It's free and open, built for researchers and the local and international organizations working on Yemen's environment.
Free & open access No account required
Why this exists
Yemen faces overlapping environmental pressures — long-term aquifer depletion, increasingly erratic rainfall, and one of the world's largest internal displacement crises among them — that most local and international organizations can't track with sparse ground data alone. YEIP starts with water and climate, the most acute and best-instrumented of these, and is built to grow into the rest.
Many of Yemen's basins show a sustained downward trend in stored groundwater, tracked monthly via satellite gravimetry rather than sparse well readings.
Year-to-year rainfall variability against each district's own 1981–2010 climatology drives both drought and flash-flood risk.
Large IDP populations concentrate demand on already-stressed water systems in specific districts, compounding physical scarcity.
Platform modules
Three modules are live and fully computed today. Four more are underway — see how it works for a plain-language walkthrough of every one of them.
District-level Water Stress Index, groundwater trend, and years-to-critical projections.
SPI-3 meteorological drought classification against each district's own 1981–2010 rainfall climatology.
Browse and export any time series — rainfall, groundwater, ET, vegetation, temperature, population, elevation — as CSV, by district and date range.
Crop-relevant vegetation and moisture indicators layered onto food security risk.
Tracking flood risk across Yemen's districts.
Site suitability scoring for solar energy infrastructure.
Early-warning projections ahead of the next reporting cycle.
Data sources
Satellite gravimetry detects changes in total water storage, isolated to groundwater anomaly per district.
40+ years of gridded rainfall estimates, providing each district's own 1981–2010 climatological baseline.
Evapotranspiration, vegetation health, and land surface temperature from NASA/USGS's MODIS instruments.
Gridded population estimates used to weight water stress by the people it actually affects.
30m-resolution terrain model, giving each district's minimum, maximum, mean, and variability in elevation.
Free to use, no account required — built for the people working on Yemen's environment.
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