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Notebook","category":"Consumption","sub_category":"Agriculture and Nutrition","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"![03_bratislava4_sw_border_parcels](https://user-images.githubusercontent.com/22978370/161757196-c0316b58-6ee8-48a3-a604-4d9aafc3adb4.png)\n_Border Region Austria - Slovakia around Bratislava_\n\n# EuroCrops\n[![License: CC BY-SA 4.0](https://img.shields.io/badge/License-CC_BY--SA_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by-sa/4.0/)\n\nMAKE SURE TO CHECK OUT **[EUROCROPS 2.0](https://data.jrc.ec.europa.eu/dataset/b9fb9e67-78a9-4327-9d59-39a928d812d3)**!\n\nEuroCrops is a dataset collection combining all publicly available self-declared crop reporting datasets from countries of the European Union.\nThe project is funded by the German Space Agency at DLR on behalf of the Federal Ministry for Economic Affairs and Climate Action (BMWK).\nThis work is licensed under a\n[Creative Commons Attribution-ShareAlike 4.0 International License][cc-by-sa].\n\n\n**For any questions, please refer to our [FAQs](https://github.com/maja601/EuroCrops/wiki/FAQs) or use the Discussions/Issues to reach out to us.**\n\n***\n## Content\n\n1. [Background](#background)\n2. [Hamonisation with HCAT](#harmonsiation)\n3. [Participating countries](#participating_countries)\n4. [GitHub project structure](#github_structure)\n5. [Vector data download via zenodo](#vectordata_zenodo)\n6. [Vector data download via Sync\u0026Share (old)](#vectordata)\n7. [Reference](#reference)\n\n\n***\n## Background \u003ca name=\"background\"\u003e\u003c/a\u003e\n![g1924](https://user-images.githubusercontent.com/22978370/158154235-06794acb-d163-447e-80ca-16e9cd60f11c.png)\n\n**Disclaimer**: The *Nomenclature of Territorial Units for Statistics 3 (NUTS3)* region, which we added by hand, is just an approximate assignment of a crop parcel to a region.\nIt might happen that a parcel is not correctly allocated to the right region or country.\nThe NUTS3 attribute is only meant to be an aid for a meaningful spatial division of the dataset into training, validation and test sets.\n\n## Hamonisation with HCAT \u003ca name=\"harmonsiation\"\u003e\u003c/a\u003e\nThe 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 this as additional attributes:\n\n| Attribute Name | Explanation                                                 |\n| -------------- | ----------------------------------------------------------- |\n| EC_trans_n     | The original crop name translated into English              |\n| EC_hcat_n      | The machine-readable HCAT name of the crop                  |\n| EC_hcat_c      | The 10-digit HCAT code indicating the hierarchy of the crop |\n\n## Participating countries \u003ca name=\"participating_countries\"\u003e\u003c/a\u003e\n\u003cp align=\"center\"\u003e\u003cimg width=43.5% src=\"https://user-images.githubusercontent.com/22978370/157669864-2d5d0df7-1fb0-40b6-ace3-a625cfef6195.png\"\u003e\u003c/p\u003e\n\nFind detailed information for all countries of the European Union in our [Wiki](https://github.com/maja601/EuroCrops/wiki), especially the countries represented in EuroCrops:\n- [Austria](https://github.com/maja601/EuroCrops/wiki/Austria)\n- [Belgium](https://github.com/maja601/EuroCrops/wiki/Belgium)\n- [Czechia](https://github.com/maja601/EuroCrops/wiki/Czechia)\n- [Germany](https://github.com/maja601/EuroCrops/wiki/Germany)\n- [Denmark](https://github.com/maja601/EuroCrops/wiki/Denmark)\n- [Estonia](https://github.com/maja601/EuroCrops/wiki/Estonia)\n- [Spain](https://github.com/maja601/EuroCrops/wiki/Spain)\n- [France](https://github.com/maja601/EuroCrops/wiki/France)\n- [Croatia](https://github.com/maja601/EuroCrops/wiki/Croatia)\n- [Lithuania](https://github.com/maja601/EuroCrops/wiki/Lithuania)\n- [Latvia](https://github.com/maja601/EuroCrops/wiki/Latvia)\n- [Netherlands](https://github.com/maja601/EuroCrops/wiki/Netherlands)\n- [Portugal](https://github.com/maja601/EuroCrops/wiki/Portugal)\n- [Romania](https://github.com/maja601/EuroCrops/wiki/Romania)\n- [Sweden](https://github.com/maja601/EuroCrops/wiki/Sweden)\n- [Slovenia](https://github.com/maja601/EuroCrops/wiki/Slovenia)\n- [Slovakia](https://github.com/maja601/EuroCrops/wiki/Slovakia)\n\n## GitHub project structure \u003ca name=\"github_structure\"\u003e\u003c/a\u003e\n```\n├── csvs\n│   ├── country_mappings\n│       └── [CSV mapping files for all participating countries]\n└── hcat_core\n    └── HCAT.csv\n```\n\n\n\n## Vector data download via zenodo\u003ca name=\"vectordata_zenodo\"\u003e\u003c/a\u003e\n\nThe vector data is now available via [zenodo](https://zenodo.org/records/8229128), currently we are on Version 11!\n\n## Vector data download via Sync\u0026Share (only [Version 1](https://zenodo.org/record/6866847))\u003ca name=\"vectordata\"\u003e\u003c/a\u003e\n\nThe shapefiles of the countries are available via [Sync\u0026Share](https://syncandshare.lrz.de/getlink/fiAD95cTrXbnKMrdZYrFFcN8/). Please also make sure to download the data for the countries individually, as there might be some loss otherwise.\n\n```\n├── AT\n│   └── AT_2021_EC21.*\n├── BE\n│   └── VLG\n│       └── BE_VLG_2021_EC21.*\n├── DE\n│   ├── LS\n│   |   └── DE_LS_2021_EC21.*\n│   └── NRW\n│       └── DE_NRW_2021_EC21.*\n├── DK\n│   └── DK_2019_EC21.*\n├── EE\n│   └── EE_2021_EC21.*\n├── ES\n│   └── NA\n│       └── ES_NA_2020_EC21.*\n├── FR\n│   └── FR_2018_EC21.*\n├── HR\n│   └── HR_2020_EC21.*\n├── LT\n│   └── LT_2021_EC.*\n├── LV\n│   └── LV_2021_EC21.*\n├── NL\n│   └── NL_2021_EC21.*\n├── PT\n│   └── PT_2021_EC21.*\n├── RO\n│   └── RO_ny_EC21.*\n├── SE\n│   └── SE_2021_EC21.*\n├── SI\n│   └── SI_2021_EC21.*\n└── SK\n    └── SK_2021_EC21.*\n```\n\n## Reference\u003ca name=\"reference\"\u003e\u003c/a\u003e\n\n**Disclaimer**: Please reference the countries' dependent source in case you're using their data.\n```\n@Article{schneider2023eurocrops,\n\ttitle = {{EuroCrops}: {The} {Largest} {Harmonized} {Open} {Crop} {Dataset} {Across} the {European} {Union}},\n\tvolume = {10},\n\tcopyright = {All rights reserved},\n\tissn = {2052-4463},\n\turl = {https://doi.org/10.1038/s41597-023-02517-0},\n\tdoi = {10.1038/s41597-023-02517-0},\n\tnumber = {1},\n\tjournal = {Scientific Data},\n\tauthor = {Schneider, Maja and Schelte, Tobias and Schmitz, Felix and Körner, Marco},\n\tmonth = sep,\n\tyear = {2023},\n\tpages = {612},\n}\n```\n\nAdditional references:\n\n```\n@Misc{schneider2022eurocrops21,\n author     = {Schneider, Maja and K{\\\"o}rner, Marco},\n title      = {EuroCrops},\n DOI        = {10.5281/zenodo.6866846},\n type       = {Dataset},\n publisher  = {Zenodo},\n year       = {2022}\n}\n```\n\n```\n@InProceedings{Schneider2022Challenges,\n  title     = {Challenges and Opportunities of Large Transnational Datasets: A Case Study on European Administrative Crop Data},\n  author    = {Schneider, Maja and Marchington, Christian and K{\\\"o}rner, Marco},\n  booktitle = {Workshop on Broadening Research Collaborations in ML (NeurIPS 2022)},\n  year      = {2022}\n}\n```\n\n```\n@InProceedings{Schneider2022Harnessing,\n  title         = {Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoring},\n  author        = {Schneider, Maja and K{\\\"o}rner, Marco},\n  booktitle     = {IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium},\n  pages         = {5385--5388},\n  year          = {2022},\n  organization  = {IEEE}\n}\n```\n\n```\n@InProceedings{Schneider2021EPE,\n  author        = {Schneider, Maja and Broszeit, Amelie and K{\\\"o}rner, Marco},\n  booktitle     = {Proceedings of the Conference on Big Data from Space (BiDS)},\n  title         = {{EuroCrops}: A Pan-European Dataset for Time Series Crop Type Classification},\n  editor        = {Soille, Pierre and Loekken, Sveinung and Albani, Sergio},\n  publisher     = {Publications Office of the European Union},\n  date          = {2021-05-18},\n  doi           = {10.2760/125905},\n  eprint        = {2106.08151},\n  eprintclass   = {eess.IV,cs.CV,cs.LG},\n  eprinttype    = {arxiv}\n}\n```\n\n```\n@Misc{Schneider2021TEC,\n  author       = {Schneider, Maja and K{\\\"o}rner, Marco},\n  date         = {2021-06-15},\n  title        = {{TinyEuroCrops}},\n  doi          = {10.14459/2021MP1615987},\n  organization = {Technical University of Munich (TUM)},\n  type         = {Dataset},\n  url          = {https://mediatum.ub.tum.de/1615987}\n}\n```\n\n\n[![CC BY-SA 4.0][cc-by-sa-image]][cc-by-sa]\n\n[cc-by-sa]: http://creativecommons.org/licenses/by-sa/4.0/\n[cc-by-sa-image]: https://licensebuttons.net/l/by-sa/4.0/88x31.png\n[cc-by-sa-shield]: 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