[null,null,[],[[["\u003cp\u003eThe ESA WorldCover 10 m 2020 product provides a global land cover map for 2020 at 10-meter resolution.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset is based on Sentinel-1 and Sentinel-2 data and includes 11 distinct land cover classes.\u003c/p\u003e\n"],["\u003cp\u003eIt was created as part of the ESA WorldCover project, within the European Space Agency's EOEP-5 program.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is freely available under the CC-BY-4.0 license and can be accessed through Google Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003eUsers can find more information, including a user manual and validation report, on the ESA WorldCover website.\u003c/p\u003e\n"]]],["The ESA WorldCover 10m 2020 dataset offers a global land cover map for the year 2020, derived from Sentinel-1 and Sentinel-2 data with a 10-meter resolution. It includes 11 land cover classes, detailed in a provided table. The dataset, available via Earth Engine with the code \"ESA/WorldCover/v100,\" spans from 2020-01-01T00:00:00Z to 2021-01-01T00:00:00Z. The data can be accessed through JavaScript, Python and Colab with provided snippets. The data are licensed under CC-BY-4.0.\n"],null,["# ESA WorldCover 10m v100\n\nDataset Availability\n: 2020-01-01T00:00:00Z--2021-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [ESA WorldCover Consortium](https://esa-worldcover.org/en)\n\nTags\n:\n[esa](/earth-engine/datasets/tags/esa) [landcover](/earth-engine/datasets/tags/landcover) [landuse](/earth-engine/datasets/tags/landuse) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) [sentinel1-derived](/earth-engine/datasets/tags/sentinel1-derived) [sentinel2-derived](/earth-engine/datasets/tags/sentinel2-derived) \n\n#### Description\n\nThe European Space Agency (ESA) WorldCover 10 m 2020 product provides a\nglobal land cover map for 2020 at 10 m resolution based on Sentinel-1 and\nSentinel-2 data.\nThe WorldCover product comes with 11 land cover classes and has been\ngenerated in the framework of the ESA WorldCover project, part of the\n5th Earth Observation Envelope Programme (EOEP-5) of the European Space\nAgency.\n\nSee also:\n\n- [ESA WorldCover website](https://esa-worldcover.org)\n- [User Manual and Validation Report](https://esa-worldcover.org/en/data-access)\n\n### Bands\n\n\n**Pixel Size**\n\n10 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|-------|------------|-----------------|\n| `Map` | meters | Landcover class |\n\n**Map Class Table**\n\n| Value | Color | Description |\n|-------|---------|--------------------------|\n| 10 | #006400 | Tree cover |\n| 20 | #ffbb22 | Shrubland |\n| 30 | #ffff4c | Grassland |\n| 40 | #f096ff | Cropland |\n| 50 | #fa0000 | Built-up |\n| 60 | #b4b4b4 | Bare / sparse vegetation |\n| 70 | #f0f0f0 | Snow and ice |\n| 80 | #0064c8 | Permanent water bodies |\n| 90 | #0096a0 | Herbaceous wetland |\n| 95 | #00cf75 | Mangroves |\n| 100 | #fae6a0 | Moss and lichen |\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- Zanaga, D., Van De Kerchove, R., De Keersmaecker, W., Souverijns, N.,\n Brockmann, C., Quast, R., Wevers, J., Grosu, A., Paccini, A., Vergnaud, S.,\n Cartus, O., Santoro, M., Fritz, S., Georgieva, I., Lesiv, M., Carter, S.,\n Herold, M., Li, Linlin, Tsendbazar, N.E., Ramoino, F., Arino, O., 2021.\n ESA WorldCover 10 m 2020 v100.\n ([doi:10.5281/zenodo.5571936](https://doi.org/10.5281/zenodo.5571936))\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 dataset = ee.ImageCollection('ESA/WorldCover/v100').first();\n\nvar visualization = {\n bands: ['Map'],\n};\n\nMap.centerObject(dataset);\n\nMap.addLayer(dataset, visualization, 'Landcover');\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\ndataset = ee.ImageCollection('ESA/WorldCover/v100').first()\n\nvisualization = {\n 'bands': ['Map'],\n}\n\nm = geemap.Map()\nm.center_object(dataset)\nm.add_layer(dataset, visualization, 'Landcover')\nm\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/ESA/ESA_WorldCover_v100) \n[ESA WorldCover 10m v100](/earth-engine/datasets/catalog/ESA_WorldCover_v100) \nThe European Space Agency (ESA) WorldCover 10 m 2020 product provides a global land cover map for 2020 at 10 m resolution based on Sentinel-1 and Sentinel-2 data. The WorldCover product comes with 11 land cover classes and has been generated in the framework of the ESA WorldCover project, part ... \nESA/WorldCover/v100, esa,landcover,landuse,landuse-landcover,sentinel1-derived,sentinel2-derived \n2020-01-01T00:00:00Z/2021-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://esa-worldcover.org/en)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCover_v100)"]]
