Carte européenne des types de cultures basée sur les observations in situ Sentinel-1 et LUCAS Copernicus 2018 pour 2018, et une autre basée sur Sentinel-2 et LUCAS Copernicus 2022 pour 2022.
S'appuyant sur l'unique enquête in situ LUCAS 2018 Copernicus, l'ensemble de données de 2018 est la première carte continentale des types de cultures avec une taille de pixel de 10 mètres pour l'UE, basée sur les observations du radar à synthèse d'ouverture S1A et S1B pour l'année 2018. L'ensemble de données de 2022 poursuit ce travail et repose sur les observations optiques S2 pour l'année 2022.
Bracelets
Taille des pixels 10 mètres
Bandes de fréquences
Nom
Taille des pixels
Description
classification
mètres
Classification de la couverture terrestre spécifique à la culture principale.
Tableau de classe de classification
Valeur
Couleur
Description
100
#ff130f
Intelligence
211
#a57000
Blé tendre
212
#896054
Blé dur
213
#e2007c
Orge
214
#aa007c
Rye
215
#a05989
Avoine
216
#ffd300
Maize
217
#00a8e2
Riz
218
#d69ebc
Triticale
219
#d69ebc
Autres céréales
221
#dda50a
Des pommes de terre
222
#a800e2
Betterave sucrière
223
#00af49
Autres tubercules
230
#00af49
Autres cultures industrielles non permanentes
231
#ffff00
Tournesol
232
#d1ff00
Colza et navette
233
#267000
Soja
240
#f2a377
Clignotement lent
250
#e8bfff
Cultures fourragères (céréales et légumineuses)
290
#696969
Terres arables nues
300
#93cc93
Forêts et arbustaies (y compris les cultures permanentes)
500
#e8ffbf
Prairies
600
#a89e7f
Sol nu/Mousse de lichen
700
#0793de
Eau
800
#7cafaf
Zones humides
Propriétés des images
Propriétés de l'image
Nom
Type
Description
classification_class_names
STRING_LIST
Tableau des noms de classification des terres cultivées.
classification_class_palette
STRING_LIST
Tableau de chaînes de code hexadécimales de couleurs utilisées pour la palette de classification.
classification_class_values
INT_LIST
Valeur de la classification des terres cultivables.
d'Andrimont, R., Verhegghen, A., Lemoine, G., Kempeneers, P., Meroni, M.,
& Van der Velde, M. (2021). 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, 266, 112708.
d'Andrimont, R., Verhegghen, A., Lemoine, G., Kempeneers, P., Meroni, M.,
& Van der Velde, M. (2021). 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, 266, 112708.
doi:10.1016/j.rse.2021.112708.
Ghassemi, B., Izquierdo-Verdiguier, E., Verhegghen, A., Yordanov, M., Lemoine, G., Moreno Martínez, Á., De Marchi, D., van der Velde, M., Vuolo, F. et d’Andrimont, R., (2024), Carte des cultures de l'Union européenne en 2022 : une plongée de 10 mètres dans la mosaïque des cultures européennes grâce à l'observation de la Terre. Scientific Data, 11(1), p.1048.
10.1038/s41597-024-03884-y
Carte européenne des types de cultures basée sur les observations in situ Sentinel-1 et LUCAS Copernicus 2018 pour 2018, et une autre basée sur Sentinel-2 et LUCAS Copernicus 2022 pour 2022. S'appuyant sur l'enquête in situ unique LUCAS 2018 Copernicus, l'ensemble de données de 2018 est la première carte continentale des types de cultures avec une taille de pixel de 10 m pour…
[null,null,[],[[["\u003cp\u003eThis dataset provides a European crop type map at 10m resolution for the years 2018 and 2022.\u003c/p\u003e\n"],["\u003cp\u003eThe 2018 map is based on Sentinel-1 and LUCAS Copernicus in-situ observations, while the 2022 map utilizes Sentinel-2 and LUCAS Copernicus data.\u003c/p\u003e\n"],["\u003cp\u003eIt includes a classification band identifying various crop types, including wheat, barley, maize, rice, and more.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset is available under the CC-BY-4.0 license and is accessible through the Google Earth Engine platform.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset was created by the Joint Research Center (JRC) of the European Commission.\u003c/p\u003e\n"]]],["The dataset provides European crop type maps for 2018 and 2022, with a 10-meter pixel size. The 2018 map utilizes Sentinel-1 data and the LUCAS 2018 in-situ survey, while the 2022 map uses Sentinel-2. It offers a detailed classification of land cover with categories such as common wheat, maize, and woodland. The dataset can be accessed through Google Earth Engine using the `ee.ImageCollection(\"JRC/D5/EUCROPMAP/V1\")` snippet and is under a CC-BY-4.0 license.\n"],null,["# EUCROPMAP\n\nDataset Availability\n: 2018-01-01T00:00:00Z--2022-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [Joint Research Center (JRC)](https://data.jrc.ec.europa.eu/dataset/15f86c84-eae1-4723-8e00-c1b35c8f56b9)\n\nCadence\n: 1 Year\n\nTags\n:\n[agriculture](/earth-engine/datasets/tags/agriculture) [crop](/earth-engine/datasets/tags/crop) [eu](/earth-engine/datasets/tags/eu) [jrc](/earth-engine/datasets/tags/jrc) [lucas](/earth-engine/datasets/tags/lucas) [sentinel1-derived](/earth-engine/datasets/tags/sentinel1-derived) \n\n#### Description\n\nEuropean crop type map based on Sentinel-1 and LUCAS Copernicus 2018 in-situ\nobservations for 2018; and one based on Sentinel-2 and LUCAS Copernicus 2022 for 2022.\n\nCapitalizing on the unique\n[LUCAS 2018 Copernicus in-situ survey](/earth-engine/datasets/catalog/JRC_LUCAS_HARMO_THLOC_V1),\nthe 2018 dataset is the first continental crop type map with 10m\npixel size for the EU based on S1A and S1B Synthetic Aperture Radar\nobservations for the year 2018; the 2022 dataset is a continuation of\nthe work and is based on optical S2 observations for the year 2022.\n\n### Bands\n\n\n**Pixel Size**\n\n10 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|------------------|------------|-----------------------------------------------|\n| `classification` | meters | Main crop-specific land cover classification. |\n\n**classification Class Table**\n\n| Value | Color | Description |\n|-------|---------|------------------------------------------------|\n| 100 | #ff130f | Artificial |\n| 211 | #a57000 | Common wheat |\n| 212 | #896054 | Durum wheat |\n| 213 | #e2007c | Barley |\n| 214 | #aa007c | Rye |\n| 215 | #a05989 | Oats |\n| 216 | #ffd300 | Maize |\n| 217 | #00a8e2 | Rice |\n| 218 | #d69ebc | Triticale |\n| 219 | #d69ebc | Other cereals |\n| 221 | #dda50a | Potatoes |\n| 222 | #a800e2 | Sugar beet |\n| 223 | #00af49 | Other root crops |\n| 230 | #00af49 | Other non-permanent industrial crops |\n| 231 | #ffff00 | Sunflower |\n| 232 | #d1ff00 | Rapeseed and turnip rapeseed |\n| 233 | #267000 | Soya |\n| 240 | #f2a377 | Dry pulses |\n| 250 | #e8bfff | Fodder crops (cereals and leguminous) |\n| 290 | #696969 | Bare arable land |\n| 300 | #93cc93 | Woodland and Shrubland (incl. permanent crops) |\n| 500 | #e8ffbf | Grasslands |\n| 600 | #a89e7f | Bare land/lichens moss |\n| 700 | #0793de | Water |\n| 800 | #7cafaf | Wetlands |\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|------------------------------|-------------|----------------------------------------------------------------------|\n| classification_class_names | STRING_LIST | Array of cropland classification names. |\n| classification_class_palette | STRING_LIST | Array of hex code color strings used for the classification palette. |\n| classification_class_values | INT_LIST | Value of the cropland classification. |\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html)\n\n### Citations\n\nCitations:\n\n- d'Andrimont, R., Verhegghen, A., Lemoine, G., Kempeneers, P., Meroni, M.,\n \\& Van der Velde, M. (2021). From parcel to continental scale-A first\n European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ\n observations. Remote sensing of environment, 266, 112708.\n- d'Andrimont, R., Verhegghen, A., Lemoine, G., Kempeneers, P., Meroni, M.,\n \\& Van der Velde, M. (2021). From parcel to continental scale-A first\n European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ\n observations. Remote sensing of environment, 266, 112708.\n [doi:10.1016/j.rse.2021.112708](https://doi.org/10.1016/j.rse.2021.112708).\n- Ghassemi, B., Izquierdo-Verdiguier, E., Verhegghen, A., Yordanov, M., Lemoine, G., Moreno Martínez, Á., De Marchi, D., van der Velde, M., Vuolo, F. and d'Andrimont, R., 2024. European Union crop map 2022: Earth observation's 10-meter dive into Europe's crop tapestry. Scientific Data, 11(1), p.1048.\n [10.1038/s41597-024-03884-y](https://doi.org/10.1038/s41597-024-03884-y)\n\n### DOIs\n\n- \u003chttps://doi.org/10.1016/j.rse.2021.112708\u003e\n- \u003chttps://doi.org/10.1038/s41597-024-03884-y\u003e\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar image = ee.ImageCollection('JRC/D5/EUCROPMAP/V1').filterDate(\n '2018-01-01', '2019-01-01').first();\nMap.addLayer(image, {}, 'EUCROPMAP 2018');\nMap.setCenter(10, 48, 4);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_D5_EUCROPMAP_V1) \n[EUCROPMAP](/earth-engine/datasets/catalog/JRC_D5_EUCROPMAP_V1) \nEuropean crop type map based on Sentinel-1 and LUCAS Copernicus 2018 in-situ observations for 2018; and one based on Sentinel-2 and LUCAS Copernicus 2022 for 2022. Capitalizing on the unique LUCAS 2018 Copernicus in-situ survey, the 2018 dataset is the first continental crop type map with 10m pixel size for ... \nJRC/D5/EUCROPMAP/V1, agriculture,crop,eu,jrc,lucas,sentinel1-derived \n2018-01-01T00:00:00Z/2022-01-01T00:00:00Z \n34.313433 -16.171875 72.182526 36.386719 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1038/s41597-024-03884-y](https://doi.org/https://data.jrc.ec.europa.eu/dataset/15f86c84-eae1-4723-8e00-c1b35c8f56b9)\n- [https://doi.org/10.1038/s41597-024-03884-y](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/JRC_D5_EUCROPMAP_V1)"]]
