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clms_ba_global_300m_daily_v3·dataset

Daily global map of fresh fire burn scars (Copernicus, 2023-2025)

CLMS BA Global 300m daily V3
biosphere ESA ESA Copernicus COGNetCDF
In plain English

What it measures. Maps the scorched ground left behind by wildfires, where flames have stripped away vegetation and darkened the soil with ash. Updated every day across the whole planet at about 300-metre detail.

How it's made. Produced by ESA Copernicus from the Sentinel-3 satellites' OLCI and SLSTR instruments, with maps ready within 24 hours of the satellite passing overhead.

How & where you'd use it. Lets responders, foresters and researchers track where fires have burned almost as they happen, estimate damage, and study fire patterns. This version covers 2023 to 2025.

What's measured

CopernicusCLMSBABurnt Areafire disturbanceglobaldaily300mSentinel-3OLCISLSTR

Coverage & cadence

  • Time span2023-07-01 → 2025-11-01
  • Spatial extent-179.9999999, -59.9985119, 179.9985119, 80.0014881
  • FormatsCOG, NetCDF

What you can do with it

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

Maps burn scars, surfaces which have been sufficiently affected by fire to display significant changes in the vegetation cover (destruction of dry material, reduction or loss of green material) and in the ground surface (temporarily darker because of ash). Daily datasets are available at global scale, in the spatial resolution of 300 m, and within 24 hours after the satellite acquisition. They cover the period from 2023 to 2025.

Get the data

copernicus_access.py
# ESA Copernicus Data Space — open STAC API (free account)
from pystac_client import Client

cat = Client.open("https://stac.dataspace.copernicus.eu/v1")
search = cat.search(
    collections=["clms_ba_global_300m_daily_v3"],   # add _cog or _nc for a format variant
    bbox=(-10, 35, 30, 60),             # your area (W,S,E,N)
    datetime="2024-01-01/2024-12-31",
)
items = list(search.items())            # then read assets with rioxarray / xarray
Browsing the Copernicus STAC is open; downloading bytes needs a free Copernicus Data Space account.