Reliability scores for post-harvest bare-soil maps (Copernicus)
What it measures. Rates how trustworthy the companion bare-soil-after estimates are, expressed as an uncertainty in days (1 to 80) tied to when crops were detected emerging or being harvested.
How it's made. ESA Copernicus produces it yearly at 10-metre resolution across the EEA-38 countries, as a quality companion to the cropland bare-soil layers.
How & where you'd use it. A technical quality layer: analysts use it to judge how confident they can be in the bare-soil timing data, rather than as a standalone map.
What's measured
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 Bare Soil After Confidence Layer (CPBSACL) is an ancillary dataset accompanying the CPBSA layer. It quantifies the uncertainty of the bare soil period after the harvest of the main annual crop, expressed in days (range: 1–80). The uncertainty is based on the uncertainty of the emergence and/or harvest events that define the bare soil period. If the preceding harvest event took place in the previous calendar year, it will not be included in the uncertainty calculation. 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 Bare Soil After 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
# 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_bare-soil-after-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.
Official links
- Open data source Copernicus STAC