This 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 the online Data Users Guide.
These data were generated using 4,185,439 scenes from Landsat
5, 7, and 8 acquired between 16 March 1984 and 31 December 2019.
Each pixel was individually classified into water / non-water
using an expert system and the results were collated into a monthly
history for the entire time period and two epochs (1984-1999,
2000-2019) for change detection.
This Monthly History collection holds the entire history of water detection
on a month-by-month basis. The collection contains 430 images, one for each
month between March 1984 and December 2019.
Bands
Pixel Size 30 meters
Bands
Name
Pixel Size
Description
water
meters
Water detection for the month.
Bitmask for water
Bits 0-1: Water detection
0: No data
1: Not water
2: Water
Image Properties
Image Properties
Name
Type
Description
month
DOUBLE
Month
year
DOUBLE
Year
Terms of Use
Terms of Use
All data here is produced under the Copernicus Programme and is provided
free of charge, without restriction of use. For the full license
information see the Copernicus Regulation.
Publications, models, and data products that make use of these datasets
must include proper acknowledgement, including citing datasets and the
journal article as in the following citation.
If you are using the data as a layer in a published map, please include the
following attribution text: 'Source: EC JRC/Google'
Citations
Citations:
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)
This 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 …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis dataset is deprecated; use JRC/GSW1_4/MonthlyHistory instead for updated surface water data.\u003c/p\u003e\n"],["\u003cp\u003eIt provides monthly surface water maps from 1984 to 2019, derived from Landsat imagery.\u003c/p\u003e\n"],["\u003cp\u003eData includes water detection and change statistics, with a 30-meter resolution.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is free to use with proper attribution to EC JRC/Google.\u003c/p\u003e\n"],["\u003cp\u003eIt is suitable for research on surface water dynamics and long-term changes.\u003c/p\u003e\n"]]],["This dataset provides monthly maps of surface water location and distribution from March 1984 to December 2019, derived from over four million Landsat 5, 7, and 8 scenes. It includes a history of water detection, statistics on water surface extent and change, and monthly images (430 total) classified into water/non-water at a 30-meter pixel size. The data is freely available under the Copernicus Programme, requires citation when used, and is accessible via Google Earth Engine.\n"],null,["# JRC Monthly Water History, v1.2 [deprecated]\n\n**Caution:** This dataset has been superseded by [JRC/GSW1_4/MonthlyHistory](/earth-engine/datasets/catalog/JRC_GSW1_4_MonthlyHistory). \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\nCadence\n: 1 Month\n\nTags\n:\n geophysical \n google \n history \n jrc \n landsat-derived \n monthly \n surface \n surface-ground-water \nwater \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 Monthly History collection holds the entire history of water detection\non a month-by-month basis. The collection contains 430 images, one for each\nmonth between March 1984 and December 2019.\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.ImageCollection('JRC/GSW1_2/MonthlyHistory');\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_2_MonthlyHistory) \n[JRC Monthly Water History, v1.2 \\[deprecated\\]](/earth-engine/datasets/catalog/JRC_GSW1_2_MonthlyHistory) \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/MonthlyHistory, geophysical,google,history,jrc,landsat-derived,monthly,surface,surface-ground-water,water \n1984-03-16T00:00:00Z/2020-01-01T00:00:00Z \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_2_MonthlyHistory)"]]
