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Full catalog/grdi-v1-built
grdi-v1-built·dataset

Global Deprivation Index: Built-Up Areas Layer

GRDI BUILT Constituent Raster
land NASA VEDA COG
In plain English

What it measures. One ingredient of a worldwide map of relative deprivation (a measure of where people are most disadvantaged), showing how built-up or developed each small patch of land is, scored from 0 to 100.

How it's made. Built from gridded global data on the built environment, combined into the larger Global Gridded Relative Deprivation Index.

How & where you'd use it. Helps researchers and aid groups locate the world's most disadvantaged communities for targeting development and disaster aid.

What's measured

grdibuilt

Coverage & cadence

  • Time span2015-01-01 → 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) built-up area (BUILT) Constituent raster, indexed 0 to 100

Get the data

veda_access.py
# 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-built")
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).