Trees on farms and in cities, flagged for exclusion (Copernicus)
What it measures. Pinpoints trees growing in agricultural fields or urban settings, so they can be set apart from genuine forest when forest maps are built. It is a helper layer rather than a standalone forest product.
How it's made. Refreshed every three years, created by overlaying tree-cover and land-cover datasets at 10-metre resolution by the EU's Copernicus Land Monitoring Service across Europe's 38 countries, including French overseas territories.
How & where you'd use it. A behind-the-scenes input used to make Europe's official forest-type maps more accurate by keeping orchard, hedgerow, and city trees out of the forest count.
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 Forest Additional Support Layer (FADSL) provides information on trees under agricultural use or in urban context to be excluded from the Forest Type (FTY) product and at 10m spatial resolution. The derivation of Forest Additional Support Layer (FADSL) is based on the spatial intersection of the 10m DLT and TCD layers with CORINE Land Cover (CLC) 2018 and HRL Imperviousness Degree 2018 with 10 m spatial resolution; TCD range of ≥ 10-100%; with a MMW of 10m and no MMU (pixel base). This dataset is provided on a 3-yearly frequency 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_forest-additional-support-layer_europe_10m_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.
Official links
- Open data source Copernicus STAC