This dataset includes the glacier elevation change data in the High Mountain Asia (HMA) region from 2018 to 2020 derived from Ice, Cloud and land Elevation Satellite (ICESat-2) data. The glacial elevation changes in the High Mountain Asia region were calculated using ICESat-2 data (2018-2020) and SRTM DEM data in 2000, taking into account the inhomogeneity of glacier changes and area distribution at different elevations and slopes (weighted average of glacier area of elevation and slope bins in 1°×1° grid ). The dataset can provide the annual change information of glacier elevation in the High Mountain Asia region from 2018 to 2020 relative to 2000. These data can be used for studies of climate change in the High Mountain Asia.

File naming and required software

This dataset is stored in shp format, and the file name is “2000_ yyyy.shp”, where “yyyy” represents the year of ICESat-2 data, such as “2000_2020.shp” represents the glacier elevation change calculated by ICESat-2 data in 2020 and SRTM DEM data in 2000 as the weighted average of glacier area of elevation and slope bins in 1°×1° grid. In the data, “lon” represents longitude, “lat” represents latitude, and “GEC” represents the glacier elevation change.

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Cite as:

Shen, C., Jia, L. (2022). Dataset of Glacier Elevation Changes in High Mountain Asia (2018-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Cryos.tpdc.272458. CSTR: 18406.11.Cryos.tpdc.272458. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Shen C., Jia L., Ren S., Inter- and Intra-Annual Glacier Elevation Change in High Mountain Asia Region Based on ICESat-1&2 Data Using Elevation-Aspect Bin Analysis Method. Remote Sensing, 2022, 14, 1630.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

The Strategic Priority Research Program of the Chinese Academy of Sciences (No:XDA19070102)

None (No:2019QZKK0103)

National Natural Science Foundation of China (No:91737205)

National Natural Science Foundation of China (No:42171039)

Copyright & License

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)