EUCROPMAP 2018

Raphaël d'Andrimont; Astrid Verhegghen; Guido Lemoine; Pieter Kempeneers; Michele Meroni; Marijn van der Velde

Description

Crop type of the EU for the year 2018 at 10-m resolution

Contact

Email: Raphael.DANDRIMONT (at) ec.europa.eu

Contributors

Raphaël d'Andrimont
Astrid Verhegghen

0000-0002-4234-0586
Guido Lemoine
Pieter Kempeneers
Michele Meroni

0000-0002-2976-603X
Marijn van der Velde

How to cite

d'Andrimont, Raphaël; Verhegghen, Astrid; Lemoine, Guido; Kempeneers, Pieter; Meroni, Michele; van der Velde, Marijn (2021): EUCROPMAP 2018. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/15f86c84-eae1-4723-8e00-c1b35c8f56b9

Data access

EU CROP MAP 2018 FTP

Use conditions: European Commission reuse notice
Access conditions: No limitations

URL

WMS

Use conditions: European Commission reuse notice
Access conditions: No limitations

URL

WMS access

Publications

Publication 2021

From parcel to continental scale - A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations

D`andrimont, R., Verhegghen, A., Lemoine, G., Kempeneers, P., Meroni, M. and Van Der Velde, M., From parcel to continental scale - A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations, REMOTE SENSING OF ENVIRONMENT, ISSN 0034-4257 (online), 112708 (266), 2021, p. 112708, JRC125369.

ELSEVIER SCIENCE INC, NEW YORK, USA

DOI

10.1016/j.rse.2021.112708

Publication page

Abstract

Detailed parcel-level crop type mapping for the whole European Union (EU) is necessary for the evaluation of agricultural policies. The Copernicus program, and Sentinel-1 (S1) in particular, offers the opportunity to monitor agricultural land at a continental scale and in a timely manner. However, so far the potential of S1 has not been explored at such a scale. Capitalizing on the unique LUCAS 2018 Copernicus in-situ survey, we present the first continental crop type map at 10-m spatial resolution for the EU based on S1A and S1B Synthetic Aperture Radar observations for the year 2018. Random Forest classification algorithms are tuned to detect 19 different crop types. We assess the accuracy of this EU crop map with three approaches. First, the accuracy is assessed with independent LUCAS core in-situ observations over the continent. Second, an accuracy assessment is done specifically for main crop types from farmers declarations from 6 EU member countries or regions totalling >3 M parcels and 8.21 Mha. Finally, the crop areas derived by classification are compared to the subnational (NUTS 2) area statistics reported by Eurostat. The overall accuracy for the map is reported as 80.3% when grouping main crop classes and 76% when considering all 19 crop type classes separately. Highest accuracies are obtained for rape and turnip rape with user and produced accuracies higher than 96%. The correlation between the remotely sensed estimated and Eurostat reported crop area ranges from 0.93 (potatoes) to 0.99 (rape and turnip rape). Finally, we discuss how the framework presented here can underpin the operational delivery of in season high-resolution based crop mapping.

Temporal coverage

From date	To date
2018-01-01	2018-12-31

Additional information

Published by: European Commission, Joint Research Centre
Created date: 2021-05-12
Modified date: 2021-10-06
Issued date: 2021-05-12
Data theme(s): Agriculture, fisheries, forestry and food
Update frequency: annual
Identifier: http://data.europa.eu/89h/15f86c84-eae1-4723-8e00-c1b35c8f56b9
Popularity