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Full catalog/nlcd-annual-conus
nlcd-annual-conus·dataset

US Land Cover Maps, 2000-2021

NLCD Land Use Land Cover Classifications
land NASA VEDA COG
In plain English

What it measures. Classifies how land is used and covered across the continental United States each year from 2000 to 2021 — forests, farmland, cities, water, and more.

How it's made. Built from the National Land Cover Database, which sorts satellite imagery into land-cover categories.

How & where you'd use it. Helps planners and scientists track how the American landscape changes over time.

What's measured

nlcdannualconus

Coverage & cadence

  • Time span2001-01-01 → 2021-12-31
  • Spatial extent-125, 24, -65, 50
  • 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

National Land Cover Database Land Use Land Cover Classification datasets for CONUS 2000-2021

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("nlcd-annual-conus")
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).