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clms_vlcc_fallow-land-presence-confidence-layer_europe_10m_yearly_v1·dataset

Reliability scores for the fallow-land map (Copernicus)

CLMS VLCC Fallow Land Presence Confidence Layer (CPFLPCL) Europe 10m yearly V1
biosphere ESA ESA Copernicus active
In plain English

What it measures. A companion quality layer giving the probability, from 0 to 100 percent, that a field was correctly identified as fallow. Pixels with no fallow land carry a placeholder value.

How it's made. Produced yearly from 2017 onward by the EU's Copernicus Land Monitoring Service as a 10-metre grid over Europe's 38-country reference area, including French overseas territories.

How & where you'd use it. A technical support file letting analysts see which fallow-land classifications are confident and which are uncertain before drawing conclusions.

What's measured

CLMSCopernicusEuropeRasterLand coverCroplandFallow LandConfidence LayerCPLand 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 Fallow Land Presence Confidence Layer (CPFLPCL) is an ancillary dataset accompanying the CPFLP layer. It expresses the uncertainty of the fallow land presence classification as a probability percentage (0–100). Pixels with no fallow land are assigned the value 253. 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 Fallow Land Presence 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_fallow-land-presence-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.