Google Earth Engine ——世界200000冰川面积、几何形状、表面速度和雪线高程数据集

Global Land Ice Measurements from Space (GLIMS) is an international initiative with the goal of repeatedly surveying the world's estimated 200,000 glaciers.

The project seeks to create a globally comprehensive inventory of land ice, including measurements of glacier area, geometry, surface velocity, and snow line elevation. To perform these analyses, the GLIMS project uses satellite data, primarily from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the Landsat Enhanced Thematic Mapper Plus (ETM+), as well as historical information derived from maps and aerial photographs.

Each feature in this dataset is a polygonal boundary of a glacier at the time of analysis. A few glacier IDs have hundreds of distinct rows over time.

This dataset is a snapshot of the inventory of glacier boundaries as of June 15, 2016, providing over 307,000 rows.

从太空进行全球陆地冰测量 (GLIMS) 是一项国际倡议，其目标是反复测量世界上估计有 200,000 座冰川。

该项目旨在创建一个全球综合的陆地冰清单，包括对冰川面积、几何形状、表面速度和雪线高程的测量。为了进行这些分析，GLIMS 项目使用了卫星数据，主要来自高级星载热辐射和反射辐射计 (ASTER) 和 Landsat Enhanced Thematic Mapper Plus (ETM+)，以及从地图和航空照片中获得的历史信息。

此数据集中的每个要素都是分析时冰川的多边形边界。随着时间的推移，一些冰川 ID 具有数百个不同的行。

该数据集是截至 2016 年 6 月 15 日冰川边界清单的快照，提供超过 307,000 景。

Dataset Availability

2015-06-15T00:00:00 - 2015-06-16T00:00:00

Dataset Provider

National Snow and Ice Data Center (NSDIC)

Collection Snippet

ee.FeatureCollection("GLIMS/2016")

影像

使用说明：

For the creation of any reports, publications, new data sets, derived products, or services resulting from the data set, users should cite: GLIMS and NSIDC (2005, updated 2013): Global Land Ice Measurements from Space glacier database. Compiled and made available by the international GLIMS community and the National Snow and Ice Data Center, Boulder CO, U.S.A., doi:10.7265/N5V98602https://doi.org/10.7265/N5V98602

代码：

var dataset = ee.FeatureCollection('GLIMS/2016');
var visParams = {
  palette: ['gray', 'cyan', 'blue'],
  min: 0.0,
  max: 10.0,
  opacity: 0.8,
};
var image = ee.Image().float().paint(dataset, 'area');
Map.setCenter(-26.763, 73.214, 6);
Map.addLayer(image, visParams, 'GLIMS/2016');
Map.addLayer(dataset, null, 'for Inspector', false);

文章来源: blog.csdn.net，作者：此星光明2021年博客之星云计算Top3，版权归原作者所有，如需转载，请联系作者。

原文链接：blog.csdn.net/qq_31988139/article/details/120255353