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dc.contributor.authorBertone, Aldo
dc.contributor.authorBarboux, Chloé
dc.contributor.authorBodin, Xavier
dc.contributor.authorBolch, Tobias
dc.contributor.authorBrardinoni, Francesco
dc.contributor.authorCaduff, Rafael
dc.contributor.authorChristiansen, Hanne H.
dc.contributor.authorDarrow, Margaret M.
dc.contributor.authorDelaloye, Reynald
dc.contributor.authorEtzelmüller, Bernd
dc.contributor.authorHumlum, Ole
dc.contributor.authorLambiel, Christophe
dc.contributor.authorLilleøren, Karianne S.
dc.contributor.authorMair, Volkmar
dc.contributor.authorPellegrinon, Gabriel
dc.contributor.authorRouyet, Line
dc.contributor.authorRuiz, Lucas
dc.contributor.authorStrozzi, Tazio
dc.date.accessioned2022-08-02T09:30:11Z
dc.date.available2022-08-02T09:30:11Z
dc.date.issued2022-07-14
dc.identifier280632897
dc.identifierb4da58a1-e520-4c99-8032-4075543f5a1b
dc.identifier85134395610
dc.identifier000824691700001
dc.identifier.citationBertone , A , Barboux , C , Bodin , X , Bolch , T , Brardinoni , F , Caduff , R , Christiansen , H H , Darrow , M M , Delaloye , R , Etzelmüller , B , Humlum , O , Lambiel , C , Lilleøren , K S , Mair , V , Pellegrinon , G , Rouyet , L , Ruiz , L & Strozzi , T 2022 , ' Incorporating InSAR kinematics into rock glacier inventories : insights from 11 regions worldwide ' , Cryosphere , vol. 16 , no. 7 , pp. 2769-2792 . https://doi.org/10.5194/tc-16-2769-2022en
dc.identifier.issn1994-0416
dc.identifier.otherRIS: urn:ACBBFA9F3696DA93AE20E81FE0388B28
dc.identifier.otherORCID: /0000-0002-8201-5059/work/116597908
dc.identifier.urihttps://hdl.handle.net/10023/25762
dc.descriptionFunding: This research was funded by the European Space Agency Permafrost-CCI project (grant number 4000123681/18/I-NB).en
dc.description.abstractRock glaciers are landforms related to permafrost creep that are sensitive to climate variability and change. Their spatial distribution and kinematic behaviour can be critical for managing water resources and geohazards in periglacial areas. Rock glaciers have been inventoried for decades worldwide, often without assessment of their kinematics. The availability of remote sensing data however makes the inclusion of kinematic information potentially feasible, but requires a common methodology in order to create homogeneous inventories. In this context, the International Permafrost Association (IPA) Action Group on rock glacier inventories and kinematics (2018-2023), with the support of the European Space Agency (ESA) Permafrost Climate Change Initiative (CCI) project, is defining standard guidelines for the inclusion of kinematic information within inventories. Here, we demonstrate the feasibility of applying common rules proposed by the Action Group in 11 regions worldwide. Spaceborne interferometric synthetic aperture radar (InSAR) was used to characterise identifiable moving areas related to rock glaciers, applying a manual and a semi-automated approach. Subsequently, these areas were used to assign kinematic information to rock glaciers in existing or newly compiled inventories. More than 5000 moving areas and more than 3600 rock glaciers were classified according to their kinematics. The method and the preliminary results were analysed. We identified drawbacks related to the intrinsic limitations of InSAR and to various applied strategies regarding the integration of non-moving rock glaciers in some investigated regions. This is the first internationally coordinated work that incorporates kinematic attributes within rock glacier inventories at a global scale. The results show the value of designing standardised inventorying procedures for periglacial geomorphology.
dc.format.extent24
dc.format.extent15160046
dc.language.isoeng
dc.relation.ispartofCryosphereen
dc.subjectGB Physical geographyen
dc.subjectQE Geologyen
dc.subjectDASen
dc.subjectMCCen
dc.subject.lccGBen
dc.subject.lccQEen
dc.titleIncorporating InSAR kinematics into rock glacier inventories : insights from 11 regions worldwideen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Environmental Change Research Groupen
dc.contributor.institutionUniversity of St Andrews. Bell-Edwards Geographic Data Instituteen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.identifier.doi10.5194/tc-16-2769-2022
dc.description.statusPeer revieweden


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