AI-generated Key Takeaways
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The JRC Yearly Water Classification History dataset provides yearly maps of surface water from 1984 to 2021, including the seasonality of water.
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It'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.
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The dataset has a 30-meter resolution and includes a 'waterClass' band to indicate permanent, seasonal, or no water.
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It's freely available for use with proper attribution to EC JRC/Google and citation of the associated journal article.
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Users can explore and analyze the dataset using Google Earth Engine.
- Dataset Availability
- 1984-03-16T00:00:00Z–2022-01-01T00:00:00Z
- Dataset Provider
- EC JRC / Google
- Cadence
- 1 Year
- Tags
Description
This 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 the online Data Users Guide.
These data were generated using 4,716,475 scenes from Landsat 5, 7, and 8 acquired between 16 March 1984 and 31 December 2021. 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, 2000-2021) for change detection.
This Yearly Seasonality Classification collection contains a year-by-year classification of the seasonality of water based on the occurrence values detected throughout the year.
Bands
Pixel Size
30 meters
Bands
| Name | Pixel Size | Description |
|---|---|---|
waterClass |
meters | Classification of the seasonality of water throughout the year. |
waterClass Class Table
| Value | Color | Description |
|---|---|---|
| 0 | #cccccc | No data |
| 1 | #ffffff | Not water |
| 2 | #99d9ea | Seasonal water |
| 3 | #0000ff | Permanent water |
Image Properties
Image Properties
| Name | Type | Description |
|---|---|---|
| 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
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)
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.ImageCollection('JRC/GSW1_4/YearlyHistory'); var visualization = { bands: ['waterClass'], min: 0.0, max: 3.0, palette: ['cccccc', 'ffffff', '99d9ea', '0000ff'] }; Map.setCenter(59.414, 45.182, 7); Map.addLayer(dataset, visualization, 'Water Class');