Reliability scores for Europe's tree-type map (Copernicus)
What it measures. A companion quality layer that tells you how trustworthy each pixel is in the matching map of dominant tree types, rather than the tree information itself.
How it's made. Produced yearly from 2018 onward by the EU's Copernicus Land Monitoring Service as a 10-metre grid covering Europe's 38-country reference area, including French overseas territories.
How & where you'd use it. A technical support file for analysts: it lets users judge which parts of the tree-type map are solid and which should be treated with caution.
What's measured
Coverage & cadence
- Time span2018-01-01 → ongoing
- Spatial extent-180, -90, 180, 90
What you can do with it
- Map vegetation, forests and biomass
- Monitor ecosystem productivity and carbon
- Support habitat and biodiversity studies
Official description
The High Resolution Layer Dominant Leaf Type Confidence Layer (DLTCL) dataset provides a quality support raster product. This dataset is provided annually starting with 2018 in 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Tree Cover and Forest product is part of the European Union’s Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
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_vlcc_dominant-leaf-type-confidence-layer_europe_10m_yearly_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 / xarrayBrowsing the Copernicus STAC is open; downloading bytes needs a free Copernicus Data Space account.
Official links
- Open data source Copernicus STAC