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clms_vlcc_crop-types-confidence-layer_europe_10m_yearly_v1·dataset

Reliability scores for European crop-type maps (Copernicus)

CLMS VLCC Crop Types Confidence Layer (CTYCL) Europe 10m yearly V1
biosphere ESA ESA Copernicus active
In plain English

What it measures. Gives a confidence score from 0 to 100 for the crop label assigned to each pixel, based on how certain the classification model was.

How it's made. ESA Copernicus produces it yearly at 10-metre resolution across the EEA-38 countries as a quality companion to the crop-types map.

How & where you'd use it. A quality layer that lets analysts know which crop classifications are solid and which should be treated with caution.

What's measured

CLMSCopernicusEuropeRasterLand coverCroplandCrop TypesConfidence LayerCTYLand use

Coverage & cadence

  • Time span2017-01-01 → 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 Crop Types Confidence Layer (CTYCL) is an ancillary dataset accompanying the CTY layer. It expresses the degree of confidence in the assigned crop type label at each pixel, derived from the probability value of the winning class as determined by the classification model. Values range from 0 (0% classification confidence) to 100 (100% classification confidence). Pixels with no cropland are assigned the value 253, and pixels outside the area of interest are assigned 255. This dataset is provided annually starting with 2017 in 10-metre rasters (fully conformant with the EEA reference grid) in 100 × 100 km tiles covering the EEA-38 countries. The HRL Crop Types Confidence Layer 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_crop-types-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 / xarray
Browsing the Copernicus STAC is open; downloading bytes needs a free Copernicus Data Space account.