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Full catalog/cop-dem-eea-10-laea-tif
cop-dem-eea-10-laea-tif·dataset

Detailed elevation map of Europe at 10m (Copernicus)

CopDEM TIFF (10 m)
land ESA ESA Copernicus active
In plain English

What it measures. A digital model of the land's height and shape across Europe, recording how high the terrain sits at each 10-metre point over roughly 6 million square kilometres.

How it's made. Derived from satellite radar observations and assembled by Copernicus as a TIFF image covering 39 European countries plus their islands and French overseas departments.

How & where you'd use it. A foundation for regional terrain analysis, flood and landslide assessment, infrastructure planning, and environmental studies needing accurate ground elevation.

What's measured

CopernicusESAEUImageryDEMRadarSatellite

Coverage & cadence

  • Time span2010-12-12 → ongoing
  • Spatial extent-54.6, -22, 69, 82

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

The Copernicus DEM and related land surface datasets provide high-quality geographic information derived from satellite observations. The EEA-10 dataset covers 39 European countries, including all associated islands as well as the French Overseas Departments (excluding French Overseas Territories). It provides a spatial resolution of 10 metres and covers a total surface area of approximately 6 million km². This dataset is suitable for regional-scale analysis, environmental assessment, land monitoring, and other spatial applications requiring detailed geographic coverage across the European region.

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=["cop-dem-eea-10-laea-tif"],   # 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.