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Full catalog/clms_fapar_global_1km_10daily_v2
clms_fapar_global_1km_10daily_v2·dataset

Global sunlight absorbed by plants, 1km (Copernicus, 1999-2020)

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

What it measures. Measures the share of incoming sunlight that green leaves soak up to drive photosynthesis, a key indicator of how active and healthy plant canopies are.

How it's made. Created by ESA Copernicus from the SPOT-VEGETATION and PROBA-V satellite sensors, with an estimate every ten days at roughly 1-kilometre detail.

How & where you'd use it. Used in vegetation health monitoring, crop and climate modelling, and carbon studies. This record spans 1999 to June 2020.

What's measured

CopernicusCLMSFAPARFraction of Absorbed Photosynthetically Active Radiationvegetation 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

Defined as half the total area of green elements of the canopy per unit horizontal ground area. 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_fapar_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.