Esses dados foram gerados usando 4.716.475 cenas do Landsat 5, 7 e 8 adquiridas entre 16 de março de 1984 e 31 de dezembro de 2021.
Cada pixel foi classificado individualmente como água / não água usando um sistema especializado, e os resultados foram reunidos em um histórico mensal para todo o período e duas épocas (1984-1999, 2000-2021) para detecção de mudanças.
Essa coleção de histórico mensal contém todo o histórico de detecção de água
mês a mês. A coleção contém 454 imagens, uma para cada mês entre março de 1984 e dezembro de 2021.
Bandas
Tamanho do pixel 30 metros
Bandas
Nome
Tamanho do pixel
Descrição
water
metros
Detecção de água do mês.
Máscara de bits para água
Bits 0 a 1: detecção de água
0: sem dados
1: Não é água
2: água
Propriedades de imagens
Propriedades da imagem
Nome
Tipo
Descrição
mês
DOUBLE
Mês
ano
DOUBLE
Ano
Termos de Uso
Termos de Uso
Todos os dados aqui são produzidos no âmbito do Programa Copernicus e são fornecidos sem custo financeiro, sem restrição de uso. Para informações completas sobre a licença, consulte o Regulamento do Copernicus.
Publicações, modelos e produtos de dados que usam esses conjuntos de dados precisam incluir o reconhecimento adequado, citando os conjuntos de dados e o artigo do periódico, como na citação a seguir.
Se você estiver usando os dados como uma camada em um mapa publicado, inclua o seguinte texto de atribuição: "Fonte: EC JRC/Google"
Citações
Citações:
Jean-Francois Pekel, Andrew Cottam, Noel Gorelick, Alan S. Belward,
High-resolution mapping of global surface water and its long-term changes.
Nature 540, 418-422 (2016). (doi:10.1038/nature20584)
Esse conjunto de dados contém mapas da localização e da distribuição temporal de água superficial de 1984 a 2021 e fornece estatísticas sobre a extensão e a mudança dessas superfícies de água. Para mais informações, consulte o artigo associado: High-resolution mapping of global surface water and its long-term changes (Nature, 2016) e …
[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)"]]
