Glaciers are sensitive to climate change. With global warming, the melting of glaciers continues to accelerate all over the world. Surging glaciers are glaciers with intermittent and periodic acceleration, which is a sensitive indicator of climate change. Based on Landsat and Sentinel satellite images from 1980s to 2020, the study area images were obtained by filtering, stitching, and cropping. Among them, the L1GS level images collected by Landsat TM sensor were geo-registered using a second-order polynomial, and the error of the geo- registered images was less than one pixel. After image template matching with an orientation correlation algorithm, this data set provides the surface ice flow velocity of a typical surging glacier in the Greenland ice sheet, Sortebræ Glacier in different period from 1980s to 2020. It is expected to contribute to the research on the surging process of Sortebræ Glacier and the discussion on the mechanism of glacier surging in the context of global warming.

File naming and required software

The flow rate data is displayed in a tif file named Sortebr ｜_ yyyymmdd_ yyyymmdd_ VEL. tif。 Wherein Sortebr ｜ represents specific glacier name, yyyymmdd_ Yyyymmdd represents the time range, VEL represents the speed, and the unit is m/year.
Data reading format: use image viewing software such as Window Viewer to read files, or use software such as Matlab, ArcGIS and QGIS to read files. The spatial resolution is 100m.

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Cite as:

Qiao, G., Sun, Z., Yuan, X. (2022). Ice Flow Velocity Data Set of Typical Surging Glaciers in Greenland Ice Sheet Based on Multi-source Satellite Remote Sensing (1985-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Cryos.tpdc.272877. CSTR: 18406.11.Cryos.tpdc.272877. (Download the reference： RIS | Bibtex )

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

Support Program

CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)

Copyright & License

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