Despite the growing importance given to cover crops as a sustainable agricultural practice, the availability of spatial data about them is scarce. The best information available is regionally aggregated survey data, which, although indicative, hinders the development of spatially accurate studies. Using a disaggregation model, we combined satellite data (Sentinel-1) with aggregated survey data to generate a high-resolution map of cover crops for Europe and the United Kingdom for the reference year of 2016. The map was validated with parcel-level data in France, where overall good results were found, with regional variations.
Title: Disaggregated map of cover crops occurrence for Europe and the United Kingdom
Description: This dataset includes the median, standard deviation, 5th and 95th percentiles of the predicted cover crop fraction. Such a fraction is assumed to vary between 0% (i.e., no cover crops in the pixel) to 100% (i.e., pixel completely covered by cover crops). The values in the raster files are multiplied by 100 to facilitate compression. For instance, a raster value of 1234 corresponds to a 12.34% cover crops fraction. The dataset aims to replace the practice commonly found in the literature of assigning aggregated values to agricultural pixels by randomly sampling them in space. It can be useful for researchers and practitioners requiring spatially explicit knowledge of cover.
Spatial coverage: EU & UK.
Pixel size: 100 m
Projection: EPSG:3035
Temporal coverage: 2016
Reference: Fendrich, A. N., Matthews, F., Van Eynde, E., Carozzi, M., Li, Z., d'Andrimont, R., Lugato, E., Martin, P., Ciais, P., Panagos, P., 2023. From regional to parcel scale: A high-resolution map of cover crops across Europe combining satellite data with statistical surveys. Science of the Total Environment, pp.162300. https://doi.org/10.1016/j.scitotenv.2023.162300
