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 classificação de sazonalidade anual contém uma classificação ano a ano da sazonalidade da água com base nos valores de ocorrência detectados ao longo do ano.
Bandas
Tamanho do pixel 30 metros
Bandas
Nome
Tamanho do pixel
Descrição
waterClass
metros
Classificação da sazonalidade da água ao longo do ano.
Tabela de classes waterClass
Valor
Cor
Descrição
0
#cccccc
Não há dados
1
#ffffff
Não é água
2
#99d9ea
Água sazonal
3
#0000ff
Água permanente
Propriedades de imagens
Propriedades da imagem
Nome
Tipo
Descrição
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 Yearly Water Classification History dataset provides yearly maps of surface water from 1984 to 2021, including the seasonality of water.\u003c/p\u003e\n"],["\u003cp\u003eIt's based on Landsat 5, 7, and 8 imagery and classifies each pixel as water or non-water, offering insights into the extent and change of surface water over time.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset has a 30-meter resolution and includes a 'waterClass' band to indicate permanent, seasonal, or no water.\u003c/p\u003e\n"],["\u003cp\u003eIt's 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 dataset using Google Earth Engine.\u003c/p\u003e\n"]]],[],null,["# JRC Yearly Water Classification 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 Year\n\nTags\n:\n[annual](/earth-engine/datasets/tags/annual) [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) [surface](/earth-engine/datasets/tags/surface) [surface-ground-water](/earth-engine/datasets/tags/surface-ground-water) [water](/earth-engine/datasets/tags/water) [yearly](/earth-engine/datasets/tags/yearly) \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 Yearly Seasonality Classification collection contains a year-by-year\nclassification of the seasonality of water based on the occurrence values\ndetected throughout the year.\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|--------------|------------|-----------------------------------------------------------------|\n| `waterClass` | meters | Classification of the seasonality of water throughout the year. |\n\n**waterClass Class Table**\n\n| Value | Color | Description |\n|-------|---------|-----------------|\n| 0 | #cccccc | No data |\n| 1 | #ffffff | Not water |\n| 2 | #99d9ea | Seasonal water |\n| 3 | #0000ff | Permanent water |\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|------|--------|-------------|\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.ImageCollection('JRC/GSW1_4/YearlyHistory');\n\nvar visualization = {\n bands: ['waterClass'],\n min: 0.0,\n max: 3.0,\n palette: ['cccccc', 'ffffff', '99d9ea', '0000ff']\n};\n\nMap.setCenter(59.414, 45.182, 7);\n\nMap.addLayer(dataset, visualization, 'Water Class');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GSW1_4_YearlyHistory) \n[JRC Yearly Water Classification History, v1.4](/earth-engine/datasets/catalog/JRC_GSW1_4_YearlyHistory) \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/YearlyHistory, annual,geophysical,google,history,jrc,landsat-derived,surface,surface-ground-water,water,yearly \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_YearlyHistory)"]]
