There is a newer version of the record available.

Published July 29, 2022 | Version v4
Dataset Open

EuroCrops

  • 1. Technical University of Munich, Munich, Germany
  • 1. Technical University of Munich, Munich, Germany
  • 2. European Commission, Joint Research Centre (JRC), Ispra, Italy
  • 3. FieldSense A/S, Aarhus, Denmark

Description

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EuroCrops is a dataset collection combining all publicly available self-declared crop reporting datasets from countries of the European Union.

The raw data obtained from the countries does not come in a unified, machine-readable taxonomy. We, therefore, developed a new Hierarchical Crop and Agriculture Taxonomy (HCAT) that harmonises all declared crops across the European Union. In the shapefiles you'll find these as additional attributes:

Hamonisation with HCAT
Attribute Name Explanation
EC_trans_n The original crop name translated into English
EC_hcat_n The machine-readable HCAT name of the crop
EC_hcat_c The 10-digit HCAT code indicating the hierarchy of the crop

Participating countries

Find detailed information for all countries of the European Union in our GitHub Wiki, especially the countries represented in EuroCrops:

Please also reference the countries' dependent source in case you're using their data.

 

Changelog

  • Version 4: Add preview of Austrian attribute table for zenodo (no dataset changes)
  • Version 3: Fix wrong class mappings in NL and SK - Pull request #10 issues #7 and #9
  • Version 2: Fix wrong class mappings in DK - Pull request #5
  • Version 1: Initial publication

Notes

The project is funded by the German Space Agency at DLR on behalf of the Federal Ministry for Economic Affairs and Climate Action (BMWK).

Files

.preview_DE_NRW_2021.csv

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Additional details

Related works

Is new version of
Dataset: 10.14459/2021mp1615987 (DOI)
Is supplemented by
Other: https://github.com/maja601/EuroCrops (URL)
Other: https://www.eurocrops.tum.de/ (URL)

References

  • Schneider, M., Broszeit, A. & Körner, M. EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification. in Proceedings of the Conference on Big Data from Space (BiDS) (eds. Soille, P., Loekken, S. & Albani, S.) (Publications Office of the European Union, 2021). doi:10.2760/125905.