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caldor-fire-burn-severity·dataset

2021 Caldor Fire: Soil Burn Severity (California)

Caldor Fire Burn Severity
biosphere NASA VEDA COG
In plain English

What it measures. Shows how severely the ground was burned across California's 2021 Caldor Fire, alongside the fire's spread and active-burning behavior.

How it's made. Derived from a published fire-tracking algorithm, with the soil burn-severity map provided by the U.S. Burned Area Emergency Response team.

How & where you'd use it. Highlights where scorched soil is most likely to cause post-fire flooding, mudslides, and erosion, guiding recovery planning.

What's measured

caldorfireburnseverity

Coverage & cadence

  • Time span2021-08-15 → 2021-10-21
  • Spatial extent-120.613, 38.549, -119.919, 38.906
  • FormatsCOG

What you can do with it

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

`.geojson` and `tif` files describing the progression and active fire behavior of the 2021 Caldor Fire in California via the algorithm detailed in https://www.nature.com/articles/s41597-022-01343-0. This includes an extra `.tif` file detailing the soil burn severity (SBS) conditions provided by the [Burned Area Emergency Response](https://burnseverity.cr.usgs.gov/baer/) team.

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("caldor-fire-burn-severity")
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).