Full catalog/grdi-vnl-slope-raster
grdi-vnl-slope-raster·dataset

Night-lights trend piece of the global deprivation index, from CIESIN's GRDI

GRDI VNL Slope Constituent Raster
land NASA VEDA COG
In plain English

What it measures. One ingredient of the worldwide relative-deprivation map, capturing whether an area's night-time brightness has been rising or falling over time as a sign of changing development.

How it's made. Built from the trend (slope) in VIIRS satellite night-time lights over multiple years, fed into the larger Global Gridded Relative Deprivation Index.

How & where you'd use it. Helps spot places where development is stalling or improving, guiding longer-term aid and policy decisions.

What's measured

grdivnlsloperaster

Coverage & cadence

  • Time span2012-01-01 → 2020-12-31
  • 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) VIIRS Night Lights (VNL) Slope Constituent raster

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-vnl-slope-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).