Evaluating glacier surges in Karakoram region using earth observation data
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 correlat...
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doaj-dbcbdf7cddcf4bab898130cc212c47f92020-11-25T02:58:06ZengElsevierData in Brief2352-34092020-06-0130105394Evaluating glacier surges in Karakoram region using earth observation dataUlfat Majeed0Irfan Rashid1Geoinformatics Program, School of Earth and Environmental Sciences, University of Kashmir, Hazratbal Srinagar, 190006, Jammu and Kashmir, IndiaCorresponding author.; Geoinformatics Program, School of Earth and Environmental Sciences, University of Kashmir, Hazratbal Srinagar, 190006, Jammu and Kashmir, IndiaA 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.http://www.sciencedirect.com/science/article/pii/S2352340920302882Glacier surgesRemote sensingGlacier velocityKarakoram |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ulfat Majeed Irfan Rashid |
spellingShingle |
Ulfat Majeed Irfan Rashid Evaluating glacier surges in Karakoram region using earth observation data Data in Brief Glacier surges Remote sensing Glacier velocity Karakoram |
author_facet |
Ulfat Majeed Irfan Rashid |
author_sort |
Ulfat Majeed |
title |
Evaluating glacier surges in Karakoram region using earth observation data |
title_short |
Evaluating glacier surges in Karakoram region using earth observation data |
title_full |
Evaluating glacier surges in Karakoram region using earth observation data |
title_fullStr |
Evaluating glacier surges in Karakoram region using earth observation data |
title_full_unstemmed |
Evaluating glacier surges in Karakoram region using earth observation data |
title_sort |
evaluating glacier surges in karakoram region using earth observation data |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2020-06-01 |
description |
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. |
topic |
Glacier surges Remote sensing Glacier velocity Karakoram |
url |
http://www.sciencedirect.com/science/article/pii/S2352340920302882 |
work_keys_str_mv |
AT ulfatmajeed evaluatingglaciersurgesinkarakoramregionusingearthobservationdata AT irfanrashid evaluatingglaciersurgesinkarakoramregionusingearthobservationdata |
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1724708507536588800 |