Global gross plant productivity, 300m (Copernicus)
What it measures. Measures the total amount of dry biomass plants generate by photosynthesis, before subtracting their own respiration, equivalent to gross primary production.
How it's made. Produced by ESA Copernicus from PROBA-V data up to mid-2020 and Sentinel-3 OLCI data afterwards, with an estimate every ten days at about 300-metre detail.
How & where you'd use it. Helps assess crop and ecosystem productivity and carbon uptake. Covers January 2014 to June 2020.
What's measured
Coverage & cadence
- Time span2014-01-01 → 2026-02-28
- 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
Equivalent to Gross Primary Production (GPP). 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 June 2020 based upon PROBA-V data with version 1.0 and from July 2020 onwards based upon Sentinel-3/OLCI data with version 1.1.
Get the data
# 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_v1"], # 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.
Official links
- Open data source Copernicus STAC