2018년의 Sentinel-1 및 LUCAS Copernicus 2018 현장 관측을 기반으로 한 유럽 작물 유형 지도와 2022년의 Sentinel-2 및 LUCAS Copernicus 2022를 기반으로 한 지도가 있습니다.
LUCAS 2018 Copernicus 현장 조사를 활용한 2018년 데이터 세트는 2018년의 S1A 및 S1B 합성 개구 레이더 관측을 기반으로 한 EU의 첫 번째 대륙별 작물 유형 지도이며, 2022년 데이터 세트는 이 작업을 이어받아 2022년의 광학 S2 관측을 기반으로 합니다.
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. 환경의 원격 감지, 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. and d’Andrimont, R., 2024년 유럽 연합 작물 지도 2022: 유럽의 작물 태피스트리를 10m 단위로 자세히 살펴볼 수 있는 지구 관측 Scientific Data, 11(1), p.1048.
10.1038/s41597-024-03884-y
2018년의 경우 Sentinel-1 및 LUCAS Copernicus 2018 현장 관측을 기반으로 한 유럽 작물 유형 지도, 2022년의 경우 Sentinel-2 및 LUCAS Copernicus 2022를 기반으로 한 지도 고유한 LUCAS 2018 Copernicus 현장 조사를 활용한 2018년 데이터 세트는 …에 대한 10m 픽셀 크기의 첫 번째 대륙별 작물 유형 지도입니다.
[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)"]]
