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Full catalog/campfire-albedo-wsa-diff
campfire-albedo-wsa-diff·dataset

2018 Camp Fire: Change in Land Surface Reflectiveness

Camp Fire Domain: MODIS WSA Albedo Difference
biosphere NASA VEDA COG
In plain English

What it measures. Compares how much sunlight the land surface reflects before versus after California's 2018 Camp Fire, using three-year averages from 2015–2018 and 2019–2022.

How it's made. Made from NASA's MODIS satellite instrument, which measures surface brightness (albedo) from space.

How & where you'd use it. Shows where the burned landscape changed in reflectiveness, helping scientists track fire impact and recovery.

What's measured

campfirealbedowsadiff

Coverage & cadence

  • Time span2015-01-01 → 2022-01-01
  • Spatial extent-121.78, 39.598, -121.353, 39.9
  • FormatsCOG

What you can do with it

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

MODIS LST Day difference from a three-year average of 2015 to 2018 subtracted from a three-year average of 2019-2022. These tri-annual averages represent periods before and after the fire.

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-albedo-wsa-diff")
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).