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Full catalog/clms_gdmp_global_300m_10daily_v2
clms_gdmp_global_300m_10daily_v2·dataset

Global gross plant productivity, ongoing 300m (Copernicus)

CLMS GDMP Global 300m 10-daily V2
biosphere ESA ESA Copernicus active COGNetCDF
In plain English

What it measures. Reports the total dry matter plants make through photosynthesis without deducting respiration, in kilograms of dry matter per hectare per day, equivalent to gross primary production.

How it's made. Generated by ESA Copernicus from the PROBA-V and Sentinel-3 OLCI instruments, updated every ten days at roughly 300-metre detail and close to real time.

How & where you'd use it. Supports ongoing monitoring of crop and ecosystem productivity and carbon studies. This version runs from January 2014 to the present.

What's measured

CopernicusCLMSGDMPGross Dry Matter Productivityvegetation productivityglobal10-daily300mPROBA-VSentinel-3OLCI

Coverage & cadence

  • Time span2013-11-01 → ongoing
  • 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

Represents the total amount of dry matter produced by land plants per unit time through photosynthesis without taking plant respiration into account. Equivalent to ecosystem Gross Primary Production (GPP) but expressed in kg of Dry Matter per hectare and per day (kg DM/ha/day). Every 10-days estimates are available in near real time at global scale in the spatial resolution of about 300 m from January 2014 to the present.

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_300m_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.