Este conjunto de datos contiene mapas de la ubicación y la distribución temporal del agua superficial desde 1984 hasta 2021, y proporciona estadísticas sobre la extensión y el cambio de esas superficies de agua.
Para obtener más información, consulta el artículo de revista asociado: High-resolution mapping of global surface water and its long-term changes (Mapeo de alta resolución de las aguas superficiales globales y sus cambios a largo plazo) (Nature, 2016) y la Guía del usuario de datos en línea.
Estos datos se generaron con 4,716,475 escenas de Landsat 5, 7 y 8 adquiridas entre el 16 de marzo de 1984 y el 31 de diciembre de 2021.
Cada píxel se clasificó individualmente como agua o no agua con un sistema experto, y los resultados se recopilaron en un historial mensual para todo el período y dos épocas (1984-1999 y 2000-2021) para la detección de cambios.
La colección Recurrencia mensual contiene 12 imágenes: medidas mensuales de la estacionalidad del agua según los valores de ocurrencia detectados en ese mes durante todos los años.
Bandas
Tamaño de píxel 30 metros
Bandas
Nombre
Unidades
Mín.
Máx.
Tamaño de los píxeles
Descripción
monthly_recurrence
%
0
100
metros
Es el valor de recurrencia expresado como un porcentaje para este mes.
has_observations
metros
Es una marca que indica si el mes tiene observaciones.
Máscara de bits para has_observations
Bit 0: Observaciones del mes.
0: No hay observaciones válidas
1: Se disponía de al menos 1 observación válida
Propiedades de imágenes
Propiedades de la imagen
Nombre
Tipo
Descripción
mes
DOUBLE
Mes
Condiciones de Uso
Condiciones de Uso
Todos los datos que se muestran aquí se producen en el marco del Programa Copernicus y se proporcionan sin cargo y sin restricciones de uso. Para obtener la información completa de la licencia, consulta el Reglamento de Copernicus.
Las publicaciones, los modelos y los productos de datos que utilizan estos conjuntos de datos deben incluir el reconocimiento adecuado, lo que incluye citar los conjuntos de datos y el artículo de la revista como en la siguiente cita.
Si utilizas los datos como una capa en un mapa publicado, incluye el siguiente texto de atribución: "Fuente: JRC de la CE/Google".
Citas
Citas:
Jean-Francois Pekel, Andrew Cottam, Noel Gorelick, Alan S. Belward, M. (2015). High-resolution mapping of global surface water and its long-term changes.
Nature 540, 418-422 (2016). (doi:10.1038/nature20584)
Este conjunto de datos contiene mapas de la ubicación y la distribución temporal del agua superficial desde 1984 hasta 2021, y proporciona estadísticas sobre la extensión y el cambio de esas superficies de agua. Para obtener más información, consulta el artículo de revista asociado: High-resolution mapping of global surface water and its long-term changes (Nature, 2016) y…
JRC/GSW1_4/MonthlyRecurrence, geofísico,google,histórico,jrc,derivado de Landsat,mensual,superficie,agua superficial y subterránea,agua
[null,null,[],[[["\u003cp\u003eThis dataset provides monthly maps of surface water occurrence from 1984 to 2021, derived from Landsat 5, 7, and 8 imagery.\u003c/p\u003e\n"],["\u003cp\u003eIt offers insights into the location, distribution, and changes in global surface water over time.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes monthly recurrence data, indicating the percentage of time water was present in each location for a given month.\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 this dataset using Google Earth Engine.\u003c/p\u003e\n"]]],["This dataset, provided by EC JRC/Google, maps global surface water distribution and changes from March 1984 to December 2021. Derived from over 4.7 million Landsat scenes, each pixel is classified as water or non-water. The data is compiled into a monthly history and two epochs (1984-1999, 2000-2021) for change analysis. The monthly recurrence collection contains data on water seasonality and whether a month has observations, with a pixel size of 30 meters.\n"],null,["# JRC Monthly Water Recurrence, 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\nClimatological Interval\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) \nrecurrence \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\nThe Monthly Recurrence collection contains 12 images: monthly measures of\nthe seasonality of water based on the occurrence values detected in that\nmonth over all years.\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| `monthly_recurrence` | % | 0 | 100 | meters | The recurrence value expressed as a percentage for this month. |\n| `has_observations` | | | | meters | A flag to indicate if the month has observations. |\n| Bitmask for has_observations - Bit 0: Observations for the month. - 0: No valid observations - 1: At least 1 valid observation was available ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|-------|--------|-------------|\n| month | DOUBLE | Month |\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/MonthlyRecurrence');\n\nvar visualization = {\n bands: ['monthly_recurrence'],\n min: 0.0,\n max: 100.0,\n palette: ['ffffff', 'ffbbbb', '0000ff']\n};\n\nMap.setCenter(-51.482, -0.835, 6);\n\nMap.addLayer(dataset, visualization, 'Monthly Recurrence');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GSW1_4_MonthlyRecurrence) \n[JRC Monthly Water Recurrence, v1.4](/earth-engine/datasets/catalog/JRC_GSW1_4_MonthlyRecurrence) \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/MonthlyRecurrence, geophysical,google,history,jrc,landsat-derived,monthly,surface,surface-ground-water,water \n1984-03-16T00:00:00Z/2022-01-01T00:00:00Z \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_4_MonthlyRecurrence)"]]
