BigEarthNet est une nouvelle archive de référence Sentinel-2 à grande échelle, composée de 590 326 blocs d'images Sentinel-2. Pour construire BigEarthNet, 125 tuiles Sentinel-2 ont été acquises entre juin 2017 et mai 2018 dans 10 pays européens (Autriche, Belgique, Finlande, Irlande, Kosovo, Lituanie, Luxembourg, Portugal, Serbie et Suisse). Toutes les tuiles ont été corrigées atmosphériquement par l'outil de génération et de mise en forme des produits Sentinel-2 de niveau 2A (sen2cor). Ils ont ensuite été divisés en 590 326 zones d'image non chevauchantes. Chaque patch d'image a été annoté avec les différentes classes de couverture terrestre (c'est-à-dire plusieurs libellés) fournies par la base de données CORINE Land Cover de l'année 2018 (CLC 2018).
Bracelets
Bandes de fréquences
Nom
Échelle
Taille des pixels
Longueur d'onde
Description
B1
0,0001
60 mètres
443,9 nm (S2A) / 442,3 nm (S2B)
Aérosols
B2
0,0001
10 mètres
496,6 nm (S2A) / 492,1 nm (S2B)
Bleu
B3
0,0001
10 mètres
560 nm (S2A) / 559 nm (S2B)
Vert
B4
0,0001
10 mètres
664,5 nm (S2A) / 665 nm (S2B)
Rouge
B5
0,0001
20 mètres
703,9 nm (S2A) / 703,8 nm (S2B)
Red Edge 1
B6
0,0001
20 mètres
740,2 nm (S2A) / 739,1 nm (S2B)
Red Edge 2
B7
0,0001
20 mètres
782,5 nm (S2A) / 779,7 nm (S2B)
Red Edge 3
B8
0,0001
10 mètres
835,1 nm (S2A) / 833 nm (S2B)
NIR
B9
0,0001
60 mètres
945 nm (S2A) / 943,2 nm (S2B)
Vapeur d'eau
B10
0,0001
60 mètres
1 373,5 nm (S2A) / 1 376,9 nm (S2B)
Cirrus
B11
0,0001
20 mètres
1 613,7 nm (S2A) / 1 610,4 nm (S2B)
SWIR 1
B12
0,0001
20 mètres
2 202,4 nm (S2A) / 2 185,7 nm (S2B)
SWIR 2
B8A
0,0001
20 mètres
864,8 nm (S2A) / 864 nm (S2B)
Red Edge 4
Propriétés des images
Propriétés de l'image
Nom
Type
Description
labels
STRING_LIST
Liste des types de couverture terrestre trouvés dans cette image
source
STRING
ID du produit de l'image Sentinel-2 1C correspondante
tile_x
DOUBLE
Coordonnée X de la tuile dans l'image source
tile_y
DOUBLE
Coordonnée Y de la tuile dans l'image source
Conditions d'utilisation
Conditions d'utilisation
Les archives BigEarthNet sont concédées sous licence Community Data License Agreement – Permissive, version 1.0. Pour en savoir plus, consultez https://cdla.dev/permissive-1-0.
Citations
Citations :
G. Sumbul, M. Charfuelan, B. Demir, V. Markl, BigEarthNet: A Large-Scale
Benchmark Archive for Remote Sensing Image Understanding, IEEE International
Conference on Geoscience and Remote Sensing Symposium, pp. 5901-5904,
Yokohama, Japon, 2019.
BigEarthNet est une nouvelle archive de référence Sentinel-2 à grande échelle, qui se compose de 590 326 blocs d'images Sentinel-2. Pour construire BigEarthNet, 125 tuiles Sentinel-2 ont été acquises entre juin 2017 et mai 2018 dans les 10 pays européens (Autriche, Belgique, Finlande, Irlande, Kosovo, Lituanie, Luxembourg, Portugal, Serbie et Suisse). Toutes les tuiles ont été corrigées atmosphériquement…
[null,null,[],[[["\u003cp\u003eBigEarthNet is a large-scale Sentinel-2 benchmark archive containing 590,326 image patches acquired between June 2017 and May 2018.\u003c/p\u003e\n"],["\u003cp\u003eIt covers 10 European countries (Austria, Belgium, Finland, Ireland, Kosovo, Lithuania, Luxembourg, Portugal, Serbia, Switzerland) and is based on 125 Sentinel-2 tiles.\u003c/p\u003e\n"],["\u003cp\u003eEach image patch is annotated with multiple land-cover classes from the CORINE Land Cover database of 2018 (CLC 2018).\u003c/p\u003e\n"],["\u003cp\u003eBigEarthNet provides Sentinel-2 Level 2A product image patches, atmospherically corrected by sen2cor.\u003c/p\u003e\n"],["\u003cp\u003eThe archive is licensed under the Community Data License Agreement - Permissive, Version 1.0.\u003c/p\u003e\n"]]],[],null,["# TUBerlin/BigEarthNet/v1\n\nDataset Availability\n: 2017-06-01T00:00:00Z--2018-05-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [BigEarthNet](http://bigearth.net/)\n\nTags\n:\n [copernicus](/earth-engine/datasets/tags/copernicus) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) [sentinel](/earth-engine/datasets/tags/sentinel) \n chip \n corine-derived \n label \n ml \ntile \n\n#### Description\n\nBigEarthNet is a new large-scale Sentinel-2 benchmark archive, consisting of\n590,326 Sentinel-2 image patches. To construct BigEarthNet, 125 Sentinel-2\ntiles were acquired between June 2017 and May 2018 over the 10 countries\n(Austria, Belgium, Finland, Ireland, Kosovo, Lithuania, Luxembourg,\nPortugal, Serbia, Switzerland) of Europe. All the tiles were atmospherically\ncorrected by the Sentinel-2 Level 2A product generation and formatting tool\n(sen2cor). Then, they were divided into 590,326 non-overlapping image\npatches. Each image patch was annotated by the multiple land-cover classes\n(i.e., multi-labels) that were provided from the CORINE Land Cover database\nof the year 2018 (CLC 2018).\n\n### Bands\n\n**Bands**\n\n| Name | Scale | Pixel Size | Wavelength | Description |\n|-------|--------|------------|---------------------------------|-------------|\n| `B1` | 0.0001 | 60 meters | 443.9nm (S2A) / 442.3nm (S2B) | Aerosols |\n| `B2` | 0.0001 | 10 meters | 496.6nm (S2A) / 492.1nm (S2B) | Blue |\n| `B3` | 0.0001 | 10 meters | 560nm (S2A) / 559nm (S2B) | Green |\n| `B4` | 0.0001 | 10 meters | 664.5nm (S2A) / 665nm (S2B) | Red |\n| `B5` | 0.0001 | 20 meters | 703.9nm (S2A) / 703.8nm (S2B) | Red Edge 1 |\n| `B6` | 0.0001 | 20 meters | 740.2nm (S2A) / 739.1nm (S2B) | Red Edge 2 |\n| `B7` | 0.0001 | 20 meters | 782.5nm (S2A) / 779.7nm (S2B) | Red Edge 3 |\n| `B8` | 0.0001 | 10 meters | 835.1nm (S2A) / 833nm (S2B) | NIR |\n| `B9` | 0.0001 | 60 meters | 945nm (S2A) / 943.2nm (S2B) | Water vapor |\n| `B10` | 0.0001 | 60 meters | 1373.5nm (S2A) / 1376.9nm (S2B) | Cirrus |\n| `B11` | 0.0001 | 20 meters | 1613.7nm (S2A) / 1610.4nm (S2B) | SWIR 1 |\n| `B12` | 0.0001 | 20 meters | 2202.4nm (S2A) / 2185.7nm (S2B) | SWIR 2 |\n| `B8A` | 0.0001 | 20 meters | 864.8nm (S2A) / 864nm (S2B) | Red Edge 4 |\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|--------|-------------|-----------------------------------------------------|\n| labels | STRING_LIST | List of landcover types found in this image |\n| source | STRING | Product ID of the corresponding Sentinel-2 1C image |\n| tile_x | DOUBLE | X coordinate of tile in source image |\n| tile_y | DOUBLE | Y coordinate of tile in source image |\n\n### Terms of Use\n\n**Terms of Use**\n\nThe BigEarthNet Archive is licensed under the Community Data License\nAgreement - Permissive, Version 1.0. For more information,\nplease refer to\n[https://cdla.dev/permissive-1-0](https://cdla.dev/permissive-1-0/).\n\n### Citations\n\nCitations:\n\n- G. Sumbul, M. Charfuelan, B. Demir, V. Markl, BigEarthNet: A Large-Scale\n Benchmark Archive for Remote Sensing Image Understanding, IEEE International\n Conference on Geoscience and Remote Sensing Symposium, pp. 5901-5904,\n Yokohama, Japan, 2019.\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 geometry = ee.Geometry.Polygon(\n [[\n [16.656886757418057, 48.27086673747943],\n [16.656886757418057, 48.21359065567954],\n [16.733276070162198, 48.21359065567954],\n [16.733276070162198, 48.27086673747943]]]);\n\nvar ic = ee.ImageCollection('TUBerlin/BigEarthNet/v1');\n\nvar filtered = ic.filterBounds(geometry);\n\nvar tiles = filtered.map(function(image) {\n var labels = ee.List(image.get('labels'));\n\n var urban = labels.indexOf('Discontinuous urban fabric').gte(0);\n var highlight_urban = ee.Image(urban).toInt().multiply(1000);\n\n return image.addBands(\n {srcImg: image.select(['B4']).add(highlight_urban), overwrite: true});\n});\n\nvar image = tiles.mosaic().clip(geometry);\n\nvar visParams = {bands: ['B4', 'B3', 'B2'], min: 0, max: 3000};\n\nMap.addLayer(image, visParams);\nMap.centerObject(image, 13);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/TUBerlin/TUBerlin_BigEarthNet_v1) \n[TUBerlin/BigEarthNet/v1](/earth-engine/datasets/catalog/TUBerlin_BigEarthNet_v1) \nBigEarthNet is a new large-scale Sentinel-2 benchmark archive, consisting of 590,326 Sentinel-2 image patches. To construct BigEarthNet, 125 Sentinel-2 tiles were acquired between June 2017 and May 2018 over the 10 countries (Austria, Belgium, Finland, Ireland, Kosovo, Lithuania, Luxembourg, Portugal, Serbia, Switzerland) of Europe. All the tiles were atmospherically corrected ... \nTUBerlin/BigEarthNet/v1, copernicus,landuse-landcover,sentinel \n2017-06-01T00:00:00Z/2018-05-31T00:00:00Z \n36.9 -9 68.1 31.6 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/http://bigearth.net/)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/TUBerlin_BigEarthNet_v1)"]]
