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Full catalog/clms_lai_global_1km_10daily_v2
clms_lai_global_1km_10daily_v2·dataset

Global leaf density of plant canopies, 1km (Copernicus, 1999-2020)

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

What it measures. Estimates leaf area index, a measure of how much leaf surface sits above a patch of ground, which indicates how dense and leafy the vegetation is.

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

How & where you'd use it. Used to gauge vegetation density and health, model crop growth, and feed climate and land-surface models. This record spans 1999 to June 2020.

What's measured

CopernicusCLMSLAILeaf Area Indexvegetation 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_lai_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.