grdi-v1-raster·dataset
Global Relative Deprivation Index Map
GRDI V1 raster
land NASA VEDA COG
In plain English
What it measures. A worldwide map ranking how relatively deprived or disadvantaged each small area is, blending several social and environmental indicators into a single score.
How it's made. Built by combining multiple global datasets, including satellite night-lights and population data, into one gridded index.
How & where you'd use it. Helps governments and aid organizations find and prioritize the world's most underserved places for development and emergency response.
What's measured
grdiraster
Coverage & cadence
- Time span2010-01-01 → 2021-12-31
- Spatial extent-180, -55.983, 179.817, 82.183
- FormatsCOG
What you can do with it
- Track deforestation, fire scars and land-cover change
- Monitor crop and vegetation health (NDVI/EVI)
- Map how built-up vs. green an area is over time
Official description
Global Gridded Relative Deprivation Index (GRDI), V1 raster
Get the data
# NASA VEDA — open STAC API, anonymous (cloud-optimized GeoTIFFs)
from pystac_client import Client
cat = Client.open("https://openveda.cloud/api/stac")
col = cat.get_collection("grdi-v1-raster")
items = list(col.get_items()) # browse the analysis-ready COGs
# open an asset with rioxarray:
# import rioxarray; da = rioxarray.open_rasterio(items[0].assets["cog_default"].href) NASA VEDA is an open STAC catalog — browse and stream the cloud-optimized GeoTIFFs anonymously (no login).
Official links
- Open data source VEDA