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Full catalog/clms_fcover_global_1km_10daily_v2
clms_fcover_global_1km_10daily_v2·dataset

Global share of ground covered by green plants, 1km (Copernicus)

CLMS FCOVER Global 1km 10-daily V2
biosphere ESA ESA Copernicus COGNetCDF
In plain English

What it measures. Estimates the fraction of the ground that is hidden beneath living green vegetation when seen from above, essentially how much of the land is plant-covered.

How it's made. Produced by ESA Copernicus from the SPOT-VEGETATION and PROBA-V satellite sensors, with a value every ten days at about 1-kilometre detail.

How & where you'd use it. Useful for mapping vegetation density, monitoring land degradation and feeding climate and land-surface models. This archive covers 1999 to June 2020.

What's measured

CopernicusCLMSFCOVERFraction of Green Vegetation Covervegetation biophysicalglobal10-daily1kmSPOTVEGETATIONPROBA-V

Coverage & cadence

  • Time span1998-11-11 → 2020-06-30
  • Spatial extent-179.9999999, -59.9955357, 179.9955357, 80.0044643
  • 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

Fraction of Green Vegetation Cover. Every 10-days estimates are available at global scale in the spatial resolution of about 1 km and with the temporal extent from 1999 to June 2020.

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_fcover_global_1km_10daily_v2"],   # 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.