Three‐dimensional time series movement of the cuolangma glaciers, southern tibet with sentinel‐1 imagery

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Abstract

Many debris‐covered glaciers are broadly distributed across High Mountain Asia and have made a number of contributions to water circulation for Qinghai‐Tibet Plateau (QTP). The formation of large supraglacial lakes poses risks for glacier lake outburst floods (GLOFs). Therefore, it is important to monitor the movement of glaciers and to analyze their spatiotemporal characteristics. In this study we take Cuolangma glaciers in the central Himalayas as study targets, where glacier No.1 is a lake‐terminating debris‐covered glacier and glacier No.2 is a land-terminating debris‐covered glacier. The 3D deformation time series is firstly estimated by using the Pixel Offset‐Small Baseline Subsets (PO‐SBAS) based on the ascending and descending Sentinel‐1 datasets spanning from January to December 2018. Then the horizontal and vertical time series displacements are obtained to show their spatiotemporal features. The velocities of glacier No.1 in horizontal and vertical direction were up to 16.0 ± 0.04 m/year and 3.4 ± 0.42 m/year, respectively, and the ones of the glacier No.2 were 12.0 ± 0.07 m/year and 2.0 ± 0.27 m/year, respectively. Next, the correlation between the precipitation and the surface velocity suggests that the glacier velocity does not show a clear association with daily precipitation alone. Finally, the debris‐covered glaciers evolution is evaluated which shows that the tongue of the glacier No.1 is wasting away and the transition of glacier No.2 from land‐terminating to lake‐terminating is a probable scenario in the later period of glacier wastage. This research can significantly serve for glacier multidimensional monitoring and the mitigation of hazardous disaster caused by debris‐covered glaciers in the central Himalayas.

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Yang, L., Zhao, C., Lu, Z., Yang, C., & Zhang, Q. (2020). Three‐dimensional time series movement of the cuolangma glaciers, southern tibet with sentinel‐1 imagery. Remote Sensing, 12(20), 1–19. https://doi.org/10.3390/rs12203466

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