• The NSIDC DAAC is retiring access to its legacy, on-premises data archive and transitioning to the NASA Earthdata Cloud as the primary data archive. View planned retirement dates here.

High Mountain Asia Near-Global Multi-Decadal Glacial Lake Inventory, Version 1
Data set id:
HMA_GLI
DOI: 10.5067/UO20NYM3YQB4
This is the most recent version of these data.
Version Summary
Initial release

Overview

This data set contains polygons of glacial lake extent on a near-global scale, averaged over five multi-year periods between 1990 and 2018.
Parameter(s):
GLACIAL LAKE EXTENT
Platform(s):
LANDSAT-4, LANDSAT-5, LANDSAT-7, LANDSAT-8
Sensor(s):
ETM+, MSS, OLI, TIRS, TM
Data Format(s):
Shapefile
Temporal Coverage:
1 January 1990 to 31 December 2018
Temporal Resolution:
  • Varies
Spatial Resolution:
  • 30 m
  • 30 m
Spatial Reference System(s):
WGS 84
EPSG:4326
Spatial Coverage:
N:
82.6
S:
-55.4
E:
180
W:
-180
Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.

Data Access & Tools

A free NASA Earthdata Login account is required to access these data. Learn More

Help Articles

General Questions & FAQs

This article covers frequently asked questions about the NASA NSIDC DAAC's Earthdata cloud migration project and what it means to data users.
The NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) is migrating its primary data access from its legacy, on-premises archive to the NASA Earthdata Cloud.

How to Articles

Many NSIDC DAAC data sets can be accessed using NSIDC DAAC's Data Access Tool. This tool provides the ability to search and filter data with spatial and temporal constraints using a map-based interface.Users have the option to:
The NASA Earthdata Cloud is the NASA cloud-based archive of Earth observations. It is hosted by Amazon Web Services (AWS). Learn how to find and access NSIDC DAAC data directly in the cloud.
All data from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) is directly accessible through our HTTPS file system using Wget or curl. This article provides basic command line instructions for accessing data using this method.