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社区首页 >专栏 >Google Earth Engine ——全球JRC/GSW1_1/YearlyHistory数据集的观测数据

Google Earth Engine ——全球JRC/GSW1_1/YearlyHistory数据集的观测数据

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发布2024-02-02 09:27:46
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发布2024-02-02 09:27:46
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This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2018 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 3,865,618 scenes from Landsat 5, 7, and 8 acquired between 16 March 1984 and 31 December 2018. 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, 2000-2018) 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.

该数据集包含1984年至2018年地表水的位置和时间分布图,并提供这些水面的范围和变化的统计数据。更多信息见相关期刊文章。全球地表水及其长期变化的高分辨率地图(自然,2016)和在线数据用户指南。

这些数据是使用1984年3月16日至2018年12月31日期间获取的Landsat 5、7和8的3,865,618个场景生成的。使用专家系统将每个像素单独分类为水/非水,并将结果整理为整个时间段的月度历史和两个纪元(1984-1999,2000-2018),用于变化检测。

这个年度季节性分类集包含了根据全年检测到的发生值对水的季节性进行的逐年分类。

Dataset Availability

1984-03-16T00:00:00 - 2019-01-01T00:00:00

Dataset Provider

EC JRC / Google

Collection Snippet

Copied

ee.ImageCollection("JRC/GSW1_1/YearlyHistory")

Resolution

30 meters

Bands Table

Name

Description

waterClass

Classification of the seasonality of water throughout the year.

Class Table: waterClass

Value

Color

Color Value

Description

0

#cccccc

No data

1

#ffffff

Not water

2

#99d9ea

Seasonal water

3

#0000ff

Permanent water

影像属性:

Name

Type

Description

year

Double

Year

数据使用:

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'

引用:

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)

代码:

代码语言:javascript
复制
var dataset = ee.ImageCollection('JRC/GSW1_1/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');
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