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 October 27, 2017, providing over 690,000 rows.
代码语言：javascript复制该数据集是截至 2017 年 10 月 27 日冰川边界清单的快照，提供超过 690,000 景。Dataset Availability
1992-06-01T00:00:00 - 2017-08-01T00:00:00
Dataset Provider
National Snow and Ice Data Center (NSDIC)
Collection Snippet
ee.FeatureCollection("GLIMS/20171027")
Name | Type | Description |
|---|---|---|
analysts | String | Name(s) of data contributor(s) |
anlys_id | Double | ID of a glacier at a particular time |
anlys_time | String | When the analysis was done |
area | Double | Area of the glacier in the plane of the map projection in square kilometers |
chief_affl | String | Affiliation of the chief of the regional center |
db_area | Double | Same as 'area', but recomputed by the GLIMS project |
geog_area | String | Name of geographic region covered by the regional center |
glac_id | String | The GLIMS glacier ID |
glac_name | String | The glacier name. ~80% of the rows equal 'None' |
glac_stat | String | Glacier status, either 'exists' or 'None' |
length | Double | Length of the glacier perimeter in meters |
line_type | String | Glacier record type, e.g. 'glac_bound' for glaciers, or other values for internal rocks, snowlines, water features, etc. |
local_id | String | ID assigned by the contributing institution or regional center |
max_elev | Double | Highest part of the glacier, in meters above sea level |
mean_elev | Double | Mean elevation of the glacier, in meters above sea level |
min_elev | Double | Lowest part of the glacier, in meters above sea level |
parent_id | String | ID of the glacier that is the parent of this glacier |
primeclass | Double | WGMS glacier classification number |
proc_desc | String | Description of processing done on this record |
rc_id | Double | ID used by the regional center |
rec_status | String | Record status |
release_dt | String | Date data was released, in YYYY-MM-ddTHH:mm:ss format |
src_date | String | Date of source imagery used to create the outline |
subm_id | Double | The submission ID assigned by GLIMS |
submitters | String | Name(s) of data submitter(s) |
wgms_id | String | World Glacier Monitoring Service ID |
width | Double | Width of the glacier in meters |
数据引用：
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/N5V98602
https://doi.org/10.7265/N5V98602
代码：
代码语言：javascript复制var dataset = ee.FeatureCollection('GLIMS/20171027');
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(-35.618, 66.743, 7);
Map.addLayer(image, visParams, 'GLIMS/20171027');
Map.addLayer(dataset, null, 'for Inspector', false);
