Earth Data School
About
Full catalog/clms_vlcc_forest-type_europe_100m_3yearly_v1
clms_vlcc_forest-type_europe_100m_3yearly_v1·dataset

Europe's forest types at coarse 100-metre resolution (Copernicus)

CLMS VLCC Forest Type (FTY) Europe 100m 3-yearly V1
biosphere ESA ESA Copernicus active
In plain English

What it measures. Shows the share of broadleaved and coniferous trees within each 100-metre cell, summarising finer-scale forest data into a broader overview grid.

How it's made. Updated every three years by counting tree-type pixels and storing their percentages, produced by the EU's Copernicus Land Monitoring Service across Europe's 38 countries, including French overseas territories.

How & where you'd use it. Handy for continent-wide overviews, statistics, and reporting where a zoomed-out picture of forest composition is more practical than fine detail.

What's measured

CLMSCopernicusEuropeRasterLand coverLand useForest typeFTYForestTree cover

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 Forest Type (FTY) dataset provides the Forest Type estimation at 100 meter spatial resolution. The number of broadleaved and coniferous pixels are counted and the percentages stored in the 100m cell. The class 255 = outside area is predefined by the 100m boundary layer and remains unchanged. This dataset is provided on a 3-yearly frequency in 100 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

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_vlcc_forest-type_europe_100m_3yearly_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.