Published December 4, 2020 | Version 3.0
Dataset Open

Annual 30-meter Dataset for Glacial Lakes in High Mountain Asia from 2008 to 2017

Creators

  • 1. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences
  • 2. Department of Geography, University of Zurich
  • 3. The Planetary Science Institute, Tucson, Arizona
  • 4. Department of Geology, University of Dayton
  • 5. Department of Hydrology & Atmospheric Sciences, University of Arizona

Description

We developed a High Mountain Asia (HMA) Glacial Lake Inventory (Hi-MAG) database to characterize the annual coverage of glacial lakes from 2008 to 2017 at 30 m resolution. For the development of the Hi-MAG database, a total of 40,481 satellite images including Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI were used, and a systematic glacial lake detection method that comprised the automated processing using GEE and subsequent manual refinement of these lake mapping results were applied. This is the first glacial lake inventory across the HMA with annual temporal resolution, it can provide details for different types of glacial lakes and evolution patterns. It can be used for studies of the complex interactions between glaciers, climate, and glacial lakes, and GLOFs, potential downstream risks, and water resources.

Notes

The creation of this data set was funded by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19030101), the International Partnership Program of the Chinese Academy of Sciences (131211KYSB20170046/131C11KYSB20160061), and the National Natural Science Foundation of China (41871345). SA was supported by the EVOGLAC project under the Swiss National Science Foundation (IZLCZ2_169979/1).

Files

Hi-MAG database.zip

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