Earth Data School
About
Full catalog/clms_ndvi-sts_global_1km_10daily_v3
clms_ndvi-sts_global_1km_10daily_v3·dataset

Recent vegetation greenness comparison (Copernicus)

CLMS NDVI STS Global 1km 10-daily V3
biosphere ESA ESA Copernicus NetCDF
In plain English

What it measures. Gives short-term statistics on plant greenness for each ten-day period, capturing how vegetation has behaved over recent years rather than the long-term norm.

How it's made. Produced by ESA Copernicus from PROBA-V satellite observations at about 1-kilometer resolution.

How & where you'd use it. Helps compare current greenness against the recent past to detect emerging drought, crop stress, or vegetation recovery.

What's measured

CopernicusCLMSNDVI-STSNDVI Short-Term Statisticsvegetation monitoringglobal10-daily1kmPROBA-V

Coverage & cadence

  • Time span2015-01-01 → 2019-12-31
  • Spatial extent-179.9999999, -59.9955357, 179.9955357, 80.0044643
  • FormatsNetCDF

What you can do with it

  • Map vegetation, forests and biomass
  • Monitor ecosystem productivity and carbon
  • Support habitat and biodiversity studies
Official description

Provides short-term statistics of the 10-daily NDVI at global scale in the spatial resolution of about 1 km.

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-sts_global_1km_10daily_v3"],   # 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.