BigEarthNet, 590.326 Sentinel-2 görüntü yamasından oluşan yeni ve büyük ölçekli bir Sentinel-2 karşılaştırma arşividir. BigEarthNet'i oluşturmak için Haziran 2017 ile Mayıs 2018 arasında Avrupa'daki 10 ülkede (Almanya, Avusturya, Belçika, Finlandiya, İrlanda, İsviçre, Kosova, Litvanya, Lüksemburg, Portekiz) 125 Sentinel-2 karesi elde edildi. Tüm döşemeler, Sentinel-2 Level 2A ürün oluşturma ve biçimlendirme aracı (sen2cor) ile atmosferik olarak düzeltildi. Ardından, 590.326 çakışmayan görüntü yamasına bölündüler. Her görüntü yaması, 2018 yılına ait CORINE Land Cover veritabanından (CLC 2018) sağlanan birden fazla arazi örtüsü sınıfı (ör. çoklu etiketler) ile açıklama eklenerek oluşturuldu.
Bantlar
Bantlar
Ad
Ölçek
Piksel Boyutu
Dalga boyu
Açıklama
B1
0,0001
60 metre
443,9 nm (S2A) / 442,3 nm (S2B)
Aerosoller
B2
0,0001
10 metre
496,6 nm (S2A) / 492,1 nm (S2B)
Mavi
B3
0,0001
10 metre
560nm (S2A) / 559nm (S2B)
Yeşil
B4
0,0001
10 metre
664,5 nm (S2A) / 665 nm (S2B)
Kırmızı
B5
0,0001
20 metre
703,9 nm (S2A) / 703,8 nm (S2B)
Kırmızı Kenar 1
B6
0,0001
20 metre
740,2 nm (S2A) / 739,1 nm (S2B)
Red Edge 2
B7
0,0001
20 metre
782,5 nm (S2A) / 779,7 nm (S2B)
Red Edge 3
B8
0,0001
10 metre
835,1 nm (S2A) / 833 nm (S2B)
NIR
B9
0,0001
60 metre
945 nm (S2A) / 943,2 nm (S2B)
Su buharı
B10
0,0001
60 metre
1373,5 nm (S2A) / 1376,9 nm (S2B)
Cirrus
B11
0,0001
20 metre
1613,7 nm (S2A) / 1610,4 nm (S2B)
SWIR 1
B12
0,0001
20 metre
2202,4 nm (S2A) / 2185,7 nm (S2B)
SWIR 2
B8A
0,0001
20 metre
864,8 nm (S2A) / 864 nm (S2B)
Red Edge 4
Resim Özellikleri
Resim Özellikleri
Ad
Tür
Açıklama
etiketler
STRING_LIST
Bu resimde bulunan arazi örtüsü türlerinin listesi
kaynak
DİZE
İlgili Sentinel-2 1C görüntüsünün ürün kimliği
tile_x
ÇİFT
Kaynak resimdeki parçanın X koordinatı
tile_y
ÇİFT
Kaynak resimdeki kutucuğun Y koordinatı
Kullanım Şartları
Kullanım Şartları
BigEarthNet Arşivi, Community Data License Agreement - Permissive, Version 1.0 (Topluluk Veri Lisans Sözleşmesi - İzin Veren, 1.0 Sürümü) kapsamında lisanslanmıştır. Daha fazla bilgi için lütfen https://cdla.dev/permissive-1-0 adresini ziyaret edin.
Alıntılar
Alıntılar:
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, Japan, 2019.
BigEarthNet, 590.326 Sentinel-2 görüntü yamasından oluşan yeni ve büyük ölçekli bir Sentinel-2 karşılaştırma arşividir. BigEarthNet'i oluşturmak için Avrupa'daki 10 ülkede (Almanya, Avusturya, Belçika, Finlandiya, İrlanda, Kosova, Litvanya, Lüksemburg, Portekiz, Sırbistan, İsviçre) Haziran 2017 ile Mayıs 2018 arasında 125 Sentinel-2 parçası elde edildi. Tüm kutular atmosferik olarak düzeltildi…
[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)"]]
