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社区首页 >专栏 >Google Earth Engine ——全球1984年至2015年Landsat系列卫星获取地表水的位置和时间即地表水月度数据集的观测数据

Google Earth Engine ——全球1984年至2015年Landsat系列卫星获取地表水的位置和时间即地表水月度数据集的观测数据

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发布2024-02-02 09:17:41
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发布2024-02-02 09:17:41
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This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2015 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 3,066,102 scenes from Landsat 5, 7, and 8 acquired between 16 March 1984 and 10 October 2015. 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, 2000-2015) for change detection.

The Monthly Recurrence collection contains 12 images: monthly measures of the seasonality of water based on the occurrence values detected in that month over all years.

该数据集包含1984年至2015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2015年10月10日期间获取的Landsat 5、7和8的3,066,102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年,2000-2015年),用于变化检测。

月度复现集包含12张图片:根据历年在该月检测到的发生值,每月衡量水的季节性。

Dataset Availability

1984-03-16T00:00:00 - 2015-10-18T00:00:00

Dataset Provider

EC JRC / Google

Collection Snippet

ee.ImageCollection("JRC/GSW1_0/MonthlyRecurrence")

Resolution

30 meters

Bands Table

Name

Description

Min

Max

Units

monthly_recurrence

The recurrence value expressed as a percentage for this month.

0

100

%

has_observations

A flag to indicate if the month has observations.

has_observations Bitmask

Bit 0: Observations for the month. 0: No valid observations1: At least 1 valid observation was available

  • Bit 0: Observations for the month.
    • 0: No valid observations
    • 1: At least 1 valid observation was available

影像属性:

Name

Type

Description

month

Double

Month

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_0/MonthlyRecurrence').first();
var monthlyRecurrence = dataset.select('monthly_recurrence');
var monthlyRecurrenceVis = {
  min: 0.0,
  max: 100.0,
  palette: ['ffffff', 'ffbbbb', '0000ff'],
};
Map.setCenter(-51.482, -0.835, 9);
Map.addLayer(monthlyRecurrence, monthlyRecurrenceVis, 'Monthly Recurrence');
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