Land-surface heat and thermal stress index (Copernicus)
What it measures. For each ten-day period it gives the lowest, typical, and highest ground-surface temperatures regardless of time of day, plus a Thermal Condition Index showing how unusually warm or cool conditions are.
How it's made. Produced by ESA Copernicus from geostationary satellite thermal infrared observations at about 3-kilometer resolution, spanning January 2018 to the present.
How & where you'd use it. Useful for spotting heatwaves and drought stress, monitoring vegetation and crop conditions, and flagging places experiencing unusual thermal conditions.
What's measured
Coverage & cadence
- Time span2018-01-01 → ongoing
- Spatial extent-179.9999999, -79.97868240000001, 179.9999999, 80.0233214
- 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 and every geostationary sensor image pixel, including a Thermal Condition Index. The minimum, median and maximum LST are calculated regardless of any specific hour of the day. The data are available at global scale in the spatial resolution of about 3 km and cover the period from January 2018 to the 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_3km_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 / xarrayBrowsing the Copernicus STAC is open; downloading bytes needs a free Copernicus Data Space account.
Official links
- Open data source Copernicus STAC