Data Sources¶
Open and public spatial data for IsDB project work. All sources listed here are free to access and use.
Admin Boundaries¶
GADM — Global Administrative Areas¶
~500,000 administrative units worldwide. Currently version 4.1.
- ADM0 — National boundary
- ADM1 — Province / state / region
- ADM2 — District / county
Download formats: GeoJSON · Shapefile · KMZ (zipped KML) · GeoPackage
How to use in this training: 1. Go to gadm.org → Data → select your country 2. Download as GeoJSON 3. Open in GeoLibre → select your district → export 4. Import into eToolkit or WaPOR for analysis
Due diligence required
Always verify boundary data before using in a formal project document. Cross-check the number of administrative units against official government statistics. "Don't believe whatever is coming from it — you have to double check." — Dr Sajid Pareeth
GeoBoundaries¶
geoboundaries.org · Simplified Downloads
Open, community-supported admin boundaries. The simplified downloads page gives quick access by country and administrative level. GeoJSON format — ideal for all web tools used in this training.
OpenStreetMap¶
Community-mapped roads, buildings, infrastructure, and administrative areas. Useful for project context maps and base layers. Download via Overpass Turbo or GeoFabrik for regional extracts.
Humanitarian & Socioeconomic Data¶
HDX — Humanitarian Data Exchange¶
UN OCHA's open data platform: poverty indices, population grids, census data, health facility locations, education facilities, conflict data — country by country.
Used in this training (Day 3): search for your country → download population grid → open in GeoLibre → compute population in a project buffer.
Search tips: Use country name as the main filter, then filter by file format (Shapefile, GeoJSON, CSV, GeoTIFF) for spatial data.
WorldPop¶
High-resolution gridded population estimates at 100 m resolution for most countries. Useful for estimating beneficiary populations within a project boundary.
FAO GeoNetwork¶
Agricultural land use, crop area, irrigation extent, food insecurity indicators, livestock density — all freely downloadable.
Earth Observation & Climate Data¶
FAO WaPOR¶
High-resolution (20–100 m) evapotranspiration, water productivity, biomass, and root zone soil moisture (RZSM) for Africa and the Near East. Three spatial levels: continental (L1), country (L2), irrigation scheme (L3).
Primary tool for agriculture and water projects — see Day 2 afternoon for the full walkthrough.
Copernicus Dataspace¶
The European Space Agency's data portal for all Sentinel satellites: Sentinel-1 (radar), Sentinel-2 (optical), Sentinel-3, Sentinel-5P (atmospheric). Free download, registration required.
USGS EarthExplorer¶
Landsat archive — 40+ years of optical imagery at 30 m resolution. Free download, USGS account required.
Google Earth Engine¶
Cloud-based analysis platform with a massive satellite data archive. Used by advanced analysts; requires programming (JavaScript or Python). The data backbone behind many web tools used in this training.
NASA POWER¶
Meteorological data for any point on Earth — temperature, precipitation, solar radiation — with no registration. Useful for project site climate profiles and baseline data.
CHIRPS¶
Climate Hazards Group InfraRed Precipitation with Station data — rainfall data at 0.05° resolution for Africa and beyond, going back to 1981. Available through EarthMap, Google Earth Engine, and direct download from chc.ucsb.edu/data/chirps.
Summary table¶
| Source | Type | Best for | Free? |
|---|---|---|---|
| GADM | Vector (admin boundaries) | Project boundaries | ✅ |
| GeoBoundaries | Vector (admin boundaries) | Quick boundary download | ✅ |
| HDX | Mixed (spatial + tabular) | Population, poverty, facilities | ✅ |
| WorldPop | Raster (population) | Beneficiary estimation | ✅ |
| FAO WaPOR | Raster (ET, RZSM, biomass) | Agriculture & water projects | ✅ |
| Copernicus Dataspace | Raster (satellite imagery) | Custom optical/radar analysis | ✅ |
| USGS EarthExplorer | Raster (Landsat) | Historical change analysis | ✅ |
| NASA POWER | Tabular (climate) | Site climate profiles | ✅ |