Daily land-temperature cycle, 2021-present (Copernicus)
What it measures. Summarizes, over each ten-day window, how the ground surface temperature varies hour by hour across the day for every pixel. This version continues the record from 2021 onward.
How it's made. Built by ESA Copernicus from geostationary weather-satellite thermal imagery at roughly 5-kilometer pixels.
How & where you'd use it. Helps researchers and forecasters track daily land-heating patterns, monitor heat extremes, and study how surfaces warm and cool through recent years.
What's measured
Coverage & cadence
- Time span2021-01-21 → 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 daily cycle for each 10-day compositing period and every geostationary sensor image pixel. 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-daily-cycle_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