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Full catalog/clms_gdmp_global_1km_10daily_v2
clms_gdmp_global_1km_10daily_v2·dataset

Global gross plant productivity, 1km (Copernicus, 1999-2020)

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

What it measures. Estimates the total dry matter that plants produce through photosynthesis before accounting for the energy they burn to stay alive, equivalent to gross primary production.

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

How & where you'd use it. Used to study ecosystem productivity, carbon uptake and agricultural output. This record covers 1999 to June 2020.

What's measured

CopernicusCLMSGDMPGross Dry Matter Productivityvegetation productivityglobal10-daily1kmSPOTVEGETATIONPROBA-V

Coverage & cadence

  • Time span1999-01-01 → 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

Equivalent to Gross Primary Production (GPP). 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_gdmp_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.