Land heat and stress index, 2021-present (Copernicus)
What it measures. Every ten days it reports surface temperature statistics for each pixel along with a Thermal Condition Index that highlights abnormally warm or cool conditions. This release continues from 2021 onward.
How it's made. Made by ESA Copernicus from geostationary satellite thermal infrared imagery at about 5-kilometer resolution.
How & where you'd use it. Helps monitor ongoing heatwaves, drought stress on land, and unusual thermal patterns affecting crops and ecosystems.
What's measured
Coverage & cadence
- Time span2021-01-11 → ongoing
- Spatial extent-179.9999999, -79.9776824, 179.9776872, 80.0223214
- FormatsCOG, NetCDF
What you can do with it
- Track deforestation, fire scars and land-cover change
- Monitor crop and vegetation health (NDVI/EVI)
- Map how built-up vs. green an area is over time
Official description
Provides a statistical overview of the land surface temperature over each 10-day compositing period for every image pixel, including a Thermal Condition Index. The data are available at global scale in the spatial resolution of about 5 km and cover the period from 2021 to present.
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_lst-tci_global_5km_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 / xarrayBrowsing the Copernicus STAC is open; downloading bytes needs a free Copernicus Data Space account.
Official links
- Open data source Copernicus STAC