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Full catalog/clms_ndvi_global_300m_10daily_v1
clms_ndvi_global_300m_10daily_v1·dataset

Sharper global vegetation greenness, 2014-2020 (Copernicus)

CLMS NDVI Global 300m 10-daily V1
biosphere ESA ESA Copernicus COGNetCDF
In plain English

What it measures. Tracks plant greenness across the world every ten days at finer detail than the 1-kilometer products, covering January 2014 to June 2020.

How it's made. Made by ESA Copernicus at about 300-meter resolution, using PROBA-V data through mid-2020 and Sentinel-3 OLCI data afterward.

How & where you'd use it. Offers a more detailed view of crop fields and small landscapes for drought, agriculture, and vegetation-change monitoring during this period.

What's measured

CopernicusCLMSNDVINormalised Difference Vegetation Indexvegetation monitoringglobal10-daily300mPROBA-V

Coverage & cadence

  • Time span2014-01-01 → 2021-01-10
  • 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

NDVI is an indicator of the greenness of the biomes. 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 and from July 2020 onwards based upon Sentinel-3/OLCI data.

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_ndvi_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.