How land temperature changes hour-by-hour (Copernicus)
What it measures. For each ten-day period it summarizes how the ground's surface temperature rises and falls across all 24 hours of the day, giving the lowest, middle, and highest reading for every hour.
How it's made. Compiled by ESA Copernicus from geostationary weather-satellite thermal imagery, at roughly 3-kilometer pixels, covering January 2018 to today.
How & where you'd use it. Reveals daily heating and cooling patterns useful for studying urban heat, drought stress, energy demand, and the difference between day and night temperatures over land.
What's measured
Coverage & cadence
- Time span2018-01-01 → ongoing
- Spatial extent-179.9999999, -70.01350000000001, 179.9999999, 70.01350000000001
- 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 minimum, median and maximum LST are calculated for each of the 24 hours 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-daily-cycle_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