Eurostat and the Joint Research Centre developed a new methodology to make geospatial data from agricultural census available to users while ensuring that no confidential information from individuals is disclosed. The geospatial data presented in the article correspond to the contextual indicators of the monitoring framework of the Common Agricultural Policy. Our exploratory analysis reveals several interesting patterns which contribute to the broader debate on the future of European agriculture.

We released a consistent MODIS-VIIRS FPAR timeseries of global FPAR data at 500 m resolution, updated every 10 days since 2000. This dataset is filtered and optimized for agricultural applications and meets the operational needs of the systems for early warning, and crop yield forecasting. We have generated a VIIRS-FPAR timeseries, corrected over the MODIS-FPAR data, to guaranty timeseries continuity beyond 2030, thanks to the future VIIRS missions. Data are freely available.

Improving crop yield predictions is crucial for food security. Prior research relied on case studies, making it hard to compare methods & track progress. We introduce CY-Bench, a global dataset for forecasting maize and wheat yields across diverse farming systems in over 25 countries. It includes standardized weather, soil, and satellite data, curated by a diverse set of experts. CY-Bench supports the development of better forecasting tools to help decision-makers plan for global food security.

The Land Use/Cover Area frame Survey (LUCAS) Copernicus 2022 is a large and systematic in situ field survey of 137 966 polygons over the European Union in 2022. The data contain 82 land cover classes and 40 land use classes.