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EuroCrops

Authors: Schneider, Maja; Chan, Ayshah; Körner, Marco;
Abstract

__________________________________ 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: Austria Belgium Germany Denmark Estonia Spain France Croatia Lithuania Latvia Netherlands Portugal Romania Sweden Slovenia Slovakia Please also reference the countries' dependent source in case you're using their data. Changelog Version 9: Removed hidden files and added country mapping. Version 8: Updated HCAT3 (not downwards compatible): to merge spring and summer cereals, with the exception of unspecified_cereals due the presence of three seasons of cereal in Lithuania. Fixed wayward coordinates in France and wrong class mappings in NL. Added Portugal. issue #26 Version 7: Introduced HCAT3 (not downwards compatible): to merge spring and summer wheat, fix typos and extra z dimensions - issues #11 #13 #20 #21 #22 Version 6: Updates to HCAT (downwards compatible) and fix FR and NL mappings - Pull request #18 Version 5: Fix wrong year for NL - Pull request #16 Version 4: Add preview of DE-NRW 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

{"references": ["Schneider, M., Broszeit, A. & K\u00f6rner, 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."]}

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

Related Organizations
Keywords

Earth observation, machine learning, big data, crop classification, reference data, big geospatial data

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