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Full catalog/campfire-nlcd
campfire-nlcd·dataset

2018 Camp Fire Area: Land Cover Map

Camp Fire Domain: Land Cover
biosphere NASA VEDA COG
In plain English

What it measures. Shows the type of land cover — such as urban areas, forest, or farmland — across the Camp Fire burn-scar region for 2016, before the fire.

How it's made. Based on the National Land Cover Database, which classifies land-cover types from satellite imagery.

How & where you'd use it. Provides a baseline of what was on the ground before the fire, useful for gauging what was lost and planning recovery.

What's measured

campfirenlcd

Coverage & cadence

  • Time span2016-01-01 → 2019-12-31
  • Spatial extent-125, 40, -122, 45
  • FormatsCOG

What you can do with it

  • Map vegetation, forests and biomass
  • Monitor ecosystem productivity and carbon
  • Support habitat and biodiversity studies
Official description

NLCD-derived land use-land cover for 2016 over the Camp Fire burn scar domain. Displays colors 0-255 from a lookup table for land cover type (ex: reds = urbanized).

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("campfire-nlcd")
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).