European Union crop map 2022: Earth observation’s 10-meter dive into Europe’s crop tapestry
To provide the information needed for a detailed monitoring of crop types across the European Union (EU), we present an advanced 10-metre resolution map for the EU and Ukraine with 19 crop types for 2022, updating the 2018 version. Using Earth Observation (EO) and in-situ data from Eurostat's Land Use and Coverage Area Frame Survey (LUCAS) 2022, the methodology included 134,684 LUCAS Copernicus polygons, Sentinel-1 and Sentinel-2 satellite imagery, land surface temperature and a digital elevation model. Based on this data, two classification layers were developed using a Random Forest machine learning approach: a primary map and a gap-filling map to address cloud-covered gaps. The combined maps, covering 27 EU countries, show an overall accuracy of 79.3% for seven major land cover classes and 70.6% for all 19 crop types. The trained model was used to derive the 2022 map for Ukraine, demonstrating its robustness even in regions without labelled samples for model training.
Authors
- Momchil Yordanov
- Raphaël d’Andrimont (ORCID: https://orcid.org/0000-0002-7326-7684)
- Álvaro Moreno‐Martínez (ORCID: https://orcid.org/0000-0003-2990-7768)
- Marijn van der Velde (ORCID: https://orcid.org/0000-0002-9103-7081)
- Babak Ghassemi (ORCID: https://orcid.org/0000-0002-2319-5811)
- Astrid Verhegghen (ORCID: https://orcid.org/0000-0002-4234-0586)
- Francesco Vuolo (ORCID: https://orcid.org/0000-0002-4823-1700)
- Emma Izquierdo‐Verdiguier (ORCID: https://orcid.org/0000-0003-2179-1262)
- Guido Lemoine (ORCID: https://orcid.org/0000-0002-2734-4538)
- Davide De Marchi (ORCID: https://orcid.org/0009-0005-4397-4029)
Institutions
- European Commission (BE)
- Parc Científic de la Universitat de València (ES)
- Oblikue Consulting (Spain) (ES)
- Joint Research Centre (IT)
- BOKU University (AT)
Publication Details
- Journal
- Scientific Data
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1038/s41597-024-03884-y
- Citations
- 26
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 11.93
Funders
- European Commission
- HORIZON EUROPE Framework Programme