Data ini dihasilkan menggunakan 4.716.475 adegan dari Landsat 5, 7, dan 8 yang diperoleh antara 16 Maret 1984 dan 31 Desember 2021.
Setiap piksel diklasifikasikan secara terpisah menjadi air / non-air menggunakan sistem pakar dan hasilnya dikumpulkan ke dalam histori bulanan untuk seluruh jangka waktu dan dua era (1984-1999, 2000-2021) untuk deteksi perubahan.
Koleksi Histori Bulanan ini menyimpan seluruh histori deteksi air
berdasarkan bulan. Koleksi ini berisi 454 gambar, satu untuk setiap bulan antara Maret 1984 dan Desember 2021.
Band
Ukuran Piksel 30 meter
Band
Nama
Ukuran Piksel
Deskripsi
water
meter
Deteksi air untuk bulan ini.
Bitmask untuk air
Bit 0-1: Deteksi air
0: Tidak ada data
1: Bukan air
2: Air
Properti Gambar
Properti Gambar
Nama
Jenis
Deskripsi
bulan
DOUBLE
Bulan
tahun
DOUBLE
Tahun
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 2021 serta 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\u003eThe JRC Monthly Water History dataset provides monthly maps of surface water from 1984 to 2021, derived from Landsat imagery.\u003c/p\u003e\n"],["\u003cp\u003eIt offers insights into the location, extent, and change of surface water over time, including change detection for two epochs (1984-1999 and 2000-2021).\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is freely available for use with proper attribution to EC JRC/Google and citation of the associated journal article.\u003c/p\u003e\n"],["\u003cp\u003eEach pixel is classified as water or non-water, and the data is provided at a 30-meter resolution.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is accessible through Google Earth Engine and includes monthly images, allowing for detailed analysis of surface water dynamics.\u003c/p\u003e\n"]]],["The dataset, provided by EC JRC/Google, maps surface water location and distribution from March 1984 to December 2021, using Landsat data. It offers monthly water detection history, comprising 454 images with a 30-meter pixel size. Users can access data via an Earth Engine snippet, and the dataset provides water/non-water classification per pixel. It allows for change detection between two epochs and includes data usage guidelines.\n"],null,["# JRC Monthly Water History, v1.4\n\nDataset Availability\n: 1984-03-16T00:00:00Z--2022-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [EC JRC / Google](https://global-surface-water.appspot.com)\n\nCadence\n: 1 Month\n\nTags\n:\n[geophysical](/earth-engine/datasets/tags/geophysical) [google](/earth-engine/datasets/tags/google) [history](/earth-engine/datasets/tags/history) [jrc](/earth-engine/datasets/tags/jrc) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [monthly](/earth-engine/datasets/tags/monthly) [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 2021 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\n[Data Users Guide](https://storage.googleapis.com/global-surface-water/downloads_ancillary/DataUsersGuidev2021.pdf).\n\nThese data were generated using 4,716,475 scenes from Landsat\n5, 7, and 8 acquired between 16 March 1984 and 31 December 2021.\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,\n2000-2021) for change detection.\n\nThis Monthly History collection holds the entire history of water detection\non a month-by-month basis. The collection contains 454 images, one for each\nmonth between March 1984 and December 2021.\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|---------|------------|--------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `water` | meters | Water detection for the month. |\n| Bitmask for water - Bits 0-1: Water detection - 0: No data - 1: Not water - 2: Water ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|-------|--------|-------------|\n| month | DOUBLE | Month |\n| year | DOUBLE | Year |\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_4/MonthlyHistory/2020_06');\n\nvar visualization = {\n bands: ['water'],\n min: 0.0,\n max: 2.0,\n palette: ['ffffff', 'fffcb8', '0905ff']\n};\n\nMap.setCenter(-121.234, 38.109, 7);\n\nMap.addLayer(dataset, visualization, 'Water');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GSW1_4_MonthlyHistory) \n[JRC Monthly Water History, v1.4](/earth-engine/datasets/catalog/JRC_GSW1_4_MonthlyHistory) \nThis dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 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_4/MonthlyHistory, geophysical,google,history,jrc,landsat-derived,monthly,surface,surface-ground-water,water \n1984-03-16T00:00:00Z/2022-01-01T00:00:00Z \n-59 -180 78 180 \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_4_MonthlyHistory)"]]
