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dc.contributor.authorVale, Amelia Ben
dc.contributor.authorArnold, Neilen
dc.contributor.authorRees, Garethen
dc.contributor.authorLea, James Men
dc.date.accessioned2021-03-27T00:30:17Z
dc.date.available2021-03-27T00:30:17Z
dc.date.issued2021-04en
dc.identifier.issn2072-4292
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/319265
dc.description.abstractHigh Mountain Asia (HMA) hosts the largest glacier concentration outside of polar regions. It is also distinct glaciologically as it forms one of two major surge clusters globally, and many glaciers there contradict the globally-observed glacier recession trend. Surging glaciers are critical to our understanding of HMA glacier dynamics, threshold behaviour and flow instability, and hence have been the subject of extensive research, yet many dynamical uncertainties remain. Using the cloud-based geospatial data platform, Google Earth Engine (GEE) and GEE-developed tool, GEEDiT, to identify and quantify trends in the distribution and phenomenological characteristics of surging glaciers synoptically across HMA, we identified 137 glaciers as surging between 1987-2019. Of these, 55 were newly identified, 15 glaciers underwent repeat surges, and 18 were identified with enhanced glaciological hazard potential, most notably from Glacier Lake Outburst Floods (GLOFs). Terminus position time series analysis from 1987-2019 facilitated the development of a six-part phenomenological classification of glacier behaviour, as well as quantification of surge variables including active phase duration, terminus advance distance and rate, and surge periodicity. This research demonstrates the application of remote sensing techniques and the GEE platform to develop our understanding of surging glacier distribution and terminus phenomenology across large areas, as well as their ability to highlight potential geohazard locations, which can subsequently be used to focus monitoring efforts.
dc.description.sponsorshipA.V’s work was supported by a University of Bristol Scholarship (Grant no. U104481-102). J.M.L’s work on this research was supported by UKRI Future Leaders Fellowship (Grant No. MR/S017232/1).
dc.publisherMDPI AG
dc.rightsAll rights reserved
dc.subjectglacier surgingen
dc.subjectHigh Mountain Asiaen
dc.subjectglaciologyen
dc.subjectcryosphereen
dc.subjectremote sensingen
dc.subjectGoogle Earth Engineen
dc.subjecthazarden
dc.titleRemote Detection of Surge-Related Glacier Terminus Change across High Mountain Asiaen
dc.typeArticle
prism.issueIdentifier7en
prism.numberARTN 1309en
prism.publicationDate2021en
prism.publicationNameREMOTE SENSINGen
prism.volume13en
dc.identifier.doi10.17863/CAM.66383
dcterms.dateAccepted2021-03-24en
rioxxterms.versionofrecord10.3390/rs13071309en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2021-04en
dc.contributor.orcidArnold, Neil [0000-0001-7538-3999]
dc.contributor.orcidRees, Gareth [0000-0001-6020-1232]
dc.identifier.eissn2072-4292
rioxxterms.typeJournal Article/Reviewen
cam.orpheus.counter2*
rioxxterms.freetoread.startdate2024-03-26


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