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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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Detalles Bibliográficos
Autores principales: Majeed, Ulfat, Rashid, Irfan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082508/
https://www.ncbi.nlm.nih.gov/pubmed/32211463
http://dx.doi.org/10.1016/j.dib.2020.105394
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author Majeed, Ulfat
Rashid, Irfan
author_facet Majeed, Ulfat
Rashid, Irfan
author_sort Majeed, Ulfat
collection PubMed
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.
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spelling pubmed-70825082020-03-24 Evaluating glacier surges in Karakoram region using earth observation data Majeed, Ulfat Rashid, Irfan Data Brief Earth and Planetary Science 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. Elsevier 2020-03-07 /pmc/articles/PMC7082508/ /pubmed/32211463 http://dx.doi.org/10.1016/j.dib.2020.105394 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Earth and Planetary Science
Majeed, Ulfat
Rashid, Irfan
Evaluating glacier surges in Karakoram region using earth observation data
title 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_short Evaluating glacier surges in Karakoram region using earth observation data
title_sort evaluating glacier surges in karakoram region using earth observation data
topic Earth and Planetary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082508/
https://www.ncbi.nlm.nih.gov/pubmed/32211463
http://dx.doi.org/10.1016/j.dib.2020.105394
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