Majeed Ulfat, Rashid Irfan
Geoinformatics Program, School of Earth and Environmental Sciences, University of Kashmir, Hazratbal Srinagar, 190006, Jammu and Kashmir, India.
Data Brief. 2020 Mar 7;30:105394. doi: 10.1016/j.dib.2020.105394. eCollection 2020 Jun.
A glacier is said to be in a state of surge if it has abnormally high velocity and advances very rapidly (10-100 times faster than normal) in a short period of time (lasting few months to a few years). The glacier velocities can be easily assessed using feature-tracking techniques and image correlation algorithms. The applications of multi-source remotely sensed imagery from open source platforms for understanding glacier surges has been discussed in this paper. This paper draws insights for understanding glacier surges in Karakoram region using remote sensing data from two recently published papers (Rashid et al., 2020, 2018). The use of remote sensing data from United States Geological Survey (USGS) and Planet Labs for assessing glacier surface velocity, movement/advance of snout, supraglacial debris cover dynamics and evolution of ice-dammed lake has been discussed.
如果冰川的速度异常高，并且在短时间内（持续数月至数年）快速前进（比正常速度快10至100倍），则称其处于跃动状态。利用特征跟踪技术和图像相关算法可以很容易地评估冰川速度。本文讨论了来自开源平台的多源遥感影像在理解冰川跃动方面的应用。本文借鉴了最近发表的两篇论文（拉希德等人，2020年、2018年）中的遥感数据，以深入了解喀喇昆仑地区的冰川跃动情况。文中还讨论了使用美国地质调查局（USGS）和行星实验室的遥感数据来评估冰川表面速度、冰舌的移动/前进、冰面碎屑覆盖动态以及冰堰湖的演变。
