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社区首页 >专栏 >Google Earth Engine ——世界200000冰川面积、几何形状、表面速度和雪线高程2017年数据集

Google Earth Engine ——世界200000冰川面积、几何形状、表面速度和雪线高程2017年数据集

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发布2024-02-02 09:04:27
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发布2024-02-02 09:04:27
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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);
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