Data ini dibuat menggunakan 4.185.439 adegan dari Landsat 5, 7, dan 8 yang diperoleh antara 16 Maret 1984 dan 31 Desember 2019.
Setiap piksel diklasifikasikan secara individual menjadi air / non-air menggunakan sistem pakar dan hasilnya dikumpulkan ke dalam histori bulanan untuk seluruh periode waktu dan dua era (1984-1999, 2000-2019) untuk deteksi perubahan.
Produk pemetaan ini terdiri dari 1 gambar yang berisi 7 band.
Peta ini memetakan berbagai aspek distribusi spasial dan temporal air permukaan selama 35 tahun terakhir. Area yang tidak pernah mendeteksi air akan disamarkan.
Band
Ukuran Piksel 30 meter
Band
Nama
Unit
Min
Maks
Ukuran Piksel
Deskripsi
occurrence
%
0
100
meter
Frekuensi keberadaan air.
change_abs
%
-100
100
meter
Perubahan absolut dalam kemunculan antara dua era: 1984-1999 vs 2000-2019.
change_norm
%
-100
100
meter
Perubahan kejadian yang dinormalisasi. (epoch1-epoch2)/(epoch1+epoch2) * 100
seasonality
0
12
meter
Jumlah bulan air tersedia.
recurrence
%
0
100
meter
Frekuensi kembalinya air dari tahun ke tahun.
transition
meter
Klasifikasi perubahan kategoris antara tahun pertama dan terakhir.
max_extent
meter
Gambar biner yang berisi angka 1 di mana pun air pernah terdeteksi.
Bitmask untuk max_extent
Bit 0: Flag yang menunjukkan apakah air terdeteksi atau tidak
0: Bukan air
1: Air
Tabel Kelas transisi
Nilai
Warna
Deskripsi
0
#ffffff
Tidak ada perubahan
1
#0000ff
Permanen
2
#22b14c
Baru permanen
3
#d1102d
Hilang permanen
4
#99d9ea
Musiman
5
#b5e61d
Musiman baru
6
#e6a1aa
Kehilangan musiman
7
#ff7f27
Musiman menjadi permanen
8
#ffc90e
Permanen ke musiman
9
#7f7f7f
Permanen sementara
10
#c3c3c3
Musiman ephemeral
Persyaratan Penggunaan
Persyaratan Penggunaan
Semua data di sini dihasilkan dalam Program Copernicus dan disediakan tanpa biaya, tanpa batasan penggunaan. Untuk informasi lisensi selengkapnya, lihat Peraturan Copernicus.
Publikasi, model, dan produk data yang menggunakan set data ini harus menyertakan atribusi yang tepat, termasuk mengutip set data dan artikel jurnal seperti dalam kutipan berikut.
Jika Anda menggunakan data sebagai lapisan dalam peta yang dipublikasikan, sertakan teks atribusi berikut: 'Sumber: EC JRC/Google'
Kutipan
Kutipan:
Jean-Francois Pekel, Andrew Cottam, Noel Gorelick, Alan S. Belward,
Pemetaan beresolusi tinggi terhadap air permukaan global dan perubahan jangka panjangnya.
Nature 540, 418-422 (2016). (doi:10.1038/nature20584)
Set data ini berisi peta lokasi dan distribusi temporal air permukaan dari tahun 1984 hingga 2019 dan memberikan statistik tentang luas dan perubahan permukaan air tersebut. Untuk mengetahui informasi selengkapnya, lihat artikel jurnal terkait: Pemetaan air permukaan global beresolusi tinggi dan perubahan jangka panjangnya (Nature, 2016) dan …
[null,null,[],[[["\u003cp\u003eThis dataset provides maps of global surface water and its changes from 1984 to 2019, derived from Landsat 5, 7, and 8 imagery.\u003c/p\u003e\n"],["\u003cp\u003eIt includes occurrence, change, seasonality, recurrence, and transition classifications of surface water.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset offers various bands, including water frequency, change detection, and seasonality, at a 30-meter resolution.\u003c/p\u003e\n"],["\u003cp\u003eData is freely available for use with proper attribution to EC JRC/Google and citation of the associated journal article.\u003c/p\u003e\n"],["\u003cp\u003eUsers can explore and analyze the data using Google Earth Engine.\u003c/p\u003e\n"]]],["The dataset maps surface water's location and temporal distribution from March 16, 1984, to December 31, 2019, using Landsat data. It classifies each pixel as water or non-water, providing monthly histories and change detection for two epochs (1984-1999 and 2000-2019). Seven bands map the spatial and temporal distribution, including water occurrence, change, seasonality, recurrence, and transitions. The data, provided by EC JRC/Google, is available through Google Earth Engine and is free to use with proper citation.\n"],null,["# JRC Global Surface Water Mapping Layers, v1.2 [deprecated]\n\nDataset Availability\n: 1984-03-16T00:00:00Z--2020-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [EC JRC / Google](https://global-surface-water.appspot.com)\n\nTags\n:\n[geophysical](/earth-engine/datasets/tags/geophysical) [google](/earth-engine/datasets/tags/google) [jrc](/earth-engine/datasets/tags/jrc) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [surface](/earth-engine/datasets/tags/surface) [surface-ground-water](/earth-engine/datasets/tags/surface-ground-water) [water](/earth-engine/datasets/tags/water) \n\n#### Description\n\nThis dataset contains maps of the location and temporal\ndistribution of surface water from 1984 to 2019 and provides\nstatistics on the extent and change of those water surfaces.\nFor more information see the associated journal article: [High-resolution\nmapping of global surface water and its long-term changes](https://www.nature.com/nature/journal/v540/n7633/full/nature20584.html)\n(Nature, 2016) and the online [Data Users Guide](https://storage.googleapis.com/global-surface-water/downloads_ancillary/DataUsersGuidev2.pdf).\n\nThese data were generated using 4,185,439 scenes from Landsat\n5, 7, and 8 acquired between 16 March 1984 and 31 December 2019.\nEach pixel was individually classified into water / non-water\nusing an expert system and the results were collated into a monthly\nhistory for the entire time period and two epochs (1984-1999,\n2000-2019) for change detection.\n\nThis mapping layers product consists of 1 image containing 7 bands.\nIt maps different facets of the spatial and temporal distribution of\nsurface water over the last 35 years. Areas where water has\nnever been detected are masked.\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|---------------|-------|------|-----|------------|---------------------------------------------------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `occurrence` | % | 0 | 100 | meters | The frequency with which water was present. |\n| `change_abs` | % | -100 | 100 | meters | Absolute change in occurrence between two epochs: 1984-1999 vs 2000-2019. |\n| `change_norm` | % | -100 | 100 | meters | Normalized change in occurrence. (epoch1-epoch2)/(epoch1+epoch2) \\* 100 |\n| `seasonality` | | 0 | 12 | meters | Number of months water is present. |\n| `recurrence` | % | 0 | 100 | meters | The frequency with which water returns from year to year. |\n| `transition` | | | | meters | Categorical classification of change between first and last year. |\n| `max_extent` | | | | meters | Binary image containing 1 anywhere water has ever been detected. |\n| Bitmask for max_extent - Bit 0: Flag indicating if water was detected or not - 0: Not water - 1: Water ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n\n**transition Class Table**\n\n| Value | Color | Description |\n|-------|---------|-----------------------|\n| 0 | #ffffff | No change |\n| 1 | #0000ff | Permanent |\n| 2 | #22b14c | New permanent |\n| 3 | #d1102d | Lost permanent |\n| 4 | #99d9ea | Seasonal |\n| 5 | #b5e61d | New seasonal |\n| 6 | #e6a1aa | Lost seasonal |\n| 7 | #ff7f27 | Seasonal to permanent |\n| 8 | #ffc90e | Permanent to seasonal |\n| 9 | #7f7f7f | Ephemeral permanent |\n| 10 | #c3c3c3 | Ephemeral seasonal |\n\n### Terms of Use\n\n**Terms of Use**\n\nAll data here is produced under the Copernicus Programme and is provided\nfree of charge, without restriction of use. For the full license\ninformation see the Copernicus Regulation.\n\nPublications, models, and data products that make use of these datasets\nmust include proper acknowledgement, including citing datasets and the\njournal article as in the following citation.\n\nIf you are using the data as a layer in a published map, please include the\nfollowing attribution text: 'Source: EC JRC/Google'\n\n### Citations\n\nCitations:\n\n- Jean-Francois Pekel, Andrew Cottam, Noel Gorelick, Alan S. Belward,\n High-resolution mapping of global surface water and its long-term changes.\n Nature 540, 418-422 (2016). ([doi:10.1038/nature20584](https://doi.org/10.1038/nature20584))\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.Image('JRC/GSW1_2/GlobalSurfaceWater');\n\nvar visualization = {\n bands: ['occurrence'],\n min: 0.0,\n max: 100.0,\n palette: ['ffffff', 'ffbbbb', '0000ff']\n};\n\nMap.setCenter(59.414, 45.182, 6);\n\nMap.addLayer(dataset, visualization, 'Occurrence');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GSW1_2_GlobalSurfaceWater) \n[JRC Global Surface Water Mapping Layers, v1.2 \\[deprecated\\]](/earth-engine/datasets/catalog/JRC_GSW1_2_GlobalSurfaceWater) \nThis dataset contains maps of the location and temporal distribution of surface water from 1984 to 2019 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its long-term changes (Nature, 2016) and ... \nJRC/GSW1_2/GlobalSurfaceWater, geophysical,google,jrc,landsat-derived,surface,surface-ground-water,water \n1984-03-16T00:00:00Z/2020-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://global-surface-water.appspot.com)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/JRC_GSW1_2_GlobalSurfaceWater)"]]
