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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

European Union crop map 2022: Earth observation’s 10-meter dive into Europe’s crop tapestry

Momchil Yordanov, Raphaël d’Andrimont, Álvaro Moreno‐Martínez, Marijn van der Velde et al.
26 citations
Scientific Data
Remote Sensing in Agriculture
11.93
article

European Union crop map 2022: Earth observation’s 10-meter dive into Europe’s crop tapestry

Momchil Yordanov, Raphaël d’Andrimont, Álvaro Moreno‐Martínez, Marijn van der Velde, Babak Ghassemi, Astrid Verhegghen, Francesco Vuolo, Emma Izquierdo‐Verdiguier, Guido Lemoine, Davide De Marchi
article en
26 citations

Abstract

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.

Scientific DataVol. 11(1)
European Commission (BE), Parc Científic de la Universitat de València (ES), Oblikue Consulting (Spain) (ES), Joint Research Centre (IT), BOKU University (AT)
European Commission, HORIZON EUROPE Framework Programme
Zero hunger
Openalex Percentile: Top 1%
Remote Sensing in Agriculture
11.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.