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clms_lst_global_5km_hourly_v1·dataset

Hourly land-surface temperature, 2010-2021 (Copernicus)

CLMS LST Global 5km hourly V1
land ESA ESA Copernicus COGNetCDF
In plain English

What it measures. Hourly readings of the land surface temperature for each pixel worldwide. This long historical version spans July 2010 to January 2021 at coarser detail.

How it's made. Derived by ESA Copernicus from geostationary satellite thermal imagery at about 5-kilometer resolution.

How & where you'd use it. Valuable for studying more than a decade of land-temperature trends, building climate baselines, and reconstructing past heat events.

What's measured

CopernicusCLMSLSTLand Surface Temperaturethermal infraredglobalhourly5km

Coverage & cadence

  • Time span2010-06-19 → 2021-01-18
  • 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 hourly land surface temperature from geostationary sensors observations. The data are available at global scale in the spatial resolution of about 5 km and cover the period from July 2010 to January 2021.

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_lst_global_5km_hourly_v1"],   # 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.