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clms_vlcc_secondary-crop-duration-confidence-layer_europe_10m_yearly_v1·dataset

Reliability scores for second-crop season length (Copernicus)

CLMS VLCC Secondary Crops Duration Confidence Layer (CPSCDCL) Europe 10m yearly V1
biosphere ESA ESA Copernicus active
In plain English

What it measures. A companion quality layer estimating, in days, how uncertain the measured length of the secondary (off-season) crop growing season is.

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

How & where you'd use it. A technical support file letting analysts judge how dependable the secondary-crop season-length figures are before using them.

What's measured

CLMSCopernicusEuropeRasterLand coverCroplandSecondary CropCover CropConfidence 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 Secondary Crops Duration Confidence Layer (CPSCDCL) is an ancillary dataset accompanying the CPSCD layer. It quantifies the uncertainty of the detected duration of the secondary crop growing season, expressed in days (range: 1–80). The uncertainty is derived from the uncertainty of the satellite time series at the identified emergence and harvest dates of the secondary season. 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 Secondary Crops Duration 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_secondary-crop-duration-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.