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Full catalog/clms_vlcc_cropping-seasons_europe_10m_yearly_v1
clms_vlcc_cropping-seasons_europe_10m_yearly_v1·dataset

Number of growing seasons per field each year (Copernicus)

CLMS VLCC Cropping Seasons Yearly (CPCSY) Europe 10m yearly V1
biosphere ESA ESA Copernicus active
In plain English

What it measures. Tells whether a cropland field had one or two growing seasons in a given year, revealing single versus double cropping.

How it's made. ESA Copernicus derives it yearly at 10-metre resolution across the EEA-38 countries from its crop-type and cropping-season layers.

How & where you'd use it. Indicates how intensively farmland is used and where double cropping occurs, useful for agricultural and land-use planning.

What's measured

CLMSCopernicusEuropeRasterLand coverCroplandCropping SeasonsGrowing SeasonsCPLand 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 Cropping Seasons Yearly (CPCSY) dataset provides information on the total number of growing seasons detected within a given reference year at each annual cropland pixel, with values of 1 or 2 (a maximum of two growing seasons is considered). It is derived from the CTY and the CPSCT layers by counting the number of growing seasons in a specific year. Information on the number of growing seasons provides valuable insights into the intensity of land use and double cropping practices at regional and national level. 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 Cropping Seasons Yearly 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_cropping-seasons_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.