Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published 2024 | Version v11
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
  • 4. VITO, Belgium
  • 5. Centro Nacional de Inteligencia Artificial, Vicuña Mackenna 4860, Macul, Chile

Description

__________________________________

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:

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 11: Added whole of Spain, Finland, Ireland and Wallonia's shape/gpkg and mapping files. Fixed translation and mapping errors. Remapped some crops for consistency across countries. Updated the Czech shape files with the official version that comes with CRS. A new HCAT version is planned so this will probably be the last update using HCAT3.
  • Version 10: Added Brandenburg area of Germany and Czech Republic shape and mapping files. Harmonized Germany-wide mapping under de.csv, issues #23 #27
  • 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

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

Files (20.4 GB)

Name Size Download all
md5:7ef8d830197f6e9d42a9f3a9c4dc2c30
15.2 kB Preview Download
md5:ef37b6daed01f777d88b9e12eccdd0f4
27.8 kB Preview Download
md5:5e5b2cf9d8410ee12a8c6a5d4d480c19
845.3 MB Preview Download
md5:6d64f32cefa4d0a04160b1a485915acb
29.0 kB Preview Download
md5:aae1a2ed392b18e36d59296ebe0b8372
140.2 MB Preview Download
md5:647b9811d6035c05e8ce7c49e4d61d55
121.9 MB Preview Download
md5:c687b191c45bf3d826722e5eb31e09f8
33.6 kB Preview Download
md5:4fd773945ba6a03f940d118ca499aafd
23.5 kB Preview Download
md5:d5e2c0b9d8dbc17e41ec2c347db6a7b1
278.1 MB Preview Download
md5:8a76e281baafcaa387aaacb17eabae5d
41.4 kB Preview Download
md5:b95732c78f58ad90008e7b2ac93dac61
22.0 kB Preview Download
md5:9e62b22e24df927dac8de98ba64d7548
103.4 MB Preview Download
md5:3c49efdf8061abc0d25a2dc3c54e8acd
28.2 kB Preview Download
md5:4c5961dabddc3b171ff26fff6d8d88d6
241.5 MB Preview Download
md5:380dc6b3affc99e7b636d6d0d1fdd7c9
24.8 kB Preview Download
md5:66fb331790e123d3b97b828926e05bf5
277.3 MB Preview Download
md5:d0d25b529502a01545d24be83d85b8c8
33.6 kB Preview Download
md5:bb9e84b8096d1a5b892ea4c82475e695
297.5 MB Preview Download
md5:591b7437a521011e5305fd66a9ff8534
26.1 kB Preview Download
md5:8f1236cdf5c9a13938122b6d6dd6d5d7
287.5 MB Preview Download
md5:84c640d360d2a559bc71ce733058947a
29.7 kB Preview Download
md5:50d8ed3e3244df4699a58ce715f2b556
9.8 GB Preview Download
md5:023f3b397d0f6f7a020508ed8320d543
468.4 MB Preview Download
md5:5d30562ede926aa6829b6008c5824d1b
2.8 kB Preview Download
md5:97313e0232c84368c34a98e89b4a33b4
17.0 kB Preview Download
md5:e48267938221fdc9280f1c99434e3c52
368.7 MB Preview Download
md5:97bbd73845329ac845cdc5365c1e97df
31.9 kB Preview Download
md5:589b37cb5069752e6e93fffca8aed5fb
2.6 GB Preview Download
md5:74aee98bde79ee17822ee03104b27d9b
6.0 kB Preview Download
md5:b323e8de3d8d507bd0550968925b6906
10.5 kB Preview Download
md5:2443cb1ef05ad16840f0f6a4c685b72d
10.2 kB Preview Download
md5:defe1ef4d32e95be6bcc3e1f20ef76c6
1.7 kB Preview Download
md5:8bfe2b0cbd580737adcf7335682a1ea5
351.3 MB Preview Download
md5:695f53a12873bbf26cffaa5e28f9a876
7.7 kB Preview Download
md5:deed79175f3cdbf76055fa04175107cc
1.1 GB Preview Download
md5:e8c79c429cee3a58149c05d6a01c3372
2.3 kB Preview Download
md5:c7597214b90505877ee0cfa1232ac45f
545.0 MB Preview Download
md5:6885af923975590b7eeb2d29d6c169aa
16.5 kB Preview Download
md5:64e1792e1fa1be84f9864e71c29ee07a
547.5 MB Preview Download
md5:35dbc3404c8ae1336604381697b22cba
39.6 kB Preview Download
md5:08e4a1ba3d72fd6d310b0cd706ba2be6
283.0 MB Preview Download
md5:8c4a04a57cd9aad63f9aa245e5c360e9
12.2 kB Preview Download
md5:be33012f0f4002d82dc7ae982f81f598
37.3 kB Preview Download
md5:54728fb13a6abf5f6caaf0b1b3578244
34.6 MB Preview Download
md5:2987c096d517fe199243f51f6e48c10e
3.5 kB Preview Download
md5:648e1504097765b4b7f825decc838882
685.8 MB Preview Download
md5:16d7a38d29a119b7020e67314c2dca15
8.7 kB Preview Download
md5:d96ccaac65b875ee527ae2e845e40f93
426.8 MB Preview Download
md5:c6554c1e9408da7e6a867c17c6b48f9e
14.1 kB Preview Download
md5:b2acea403d8372ccb9c5f5276130f23b
213.3 MB Preview Download
md5:ae96b75b32872b834dbd570fd9f952e1
15.9 kB Preview Download
md5:e3e9a2b3cdf6ca24cba5e6bcce787c35
325.3 MB Preview Download

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.
  • Schneider, M., Schelte, T., Schmitz, F. et al. EuroCrops: The Largest Harmonized Open Crop Dataset Across the European Union. Sci Data 10, 612 (2023). https://doi.org/10.1038/s41597-023-02517-0