Detecting interannual and seasonal variability in rock glacier movement using a feature tracking approach

Autores
Rehn, Lisa; Tapia Baldis, Carla Cintia; Blöthe, Jan Henrick
Año de publicación
2022
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Permafrost degradation induces changes in water availability and runoff as well as slope instabilities in alpine regions. A thorough quantification of the degradational processes is therefore important for society in the immediate region and beyond, as it helps deepening our understanding and ultimately allows anticipating future trajectories of the alpine cryosphere. However, permafrost being an underground phenomenon makes quantification and temporal differentiation of the degradation processes inherently difficult. Active rock glaciers have become a prime research object as internal permafrost degradation induces changes in their kinematic behaviour. In our study, we investigate the surface kinematics of the Kaiserberg rock glacier in the Austrian Kaunertal on different timescales. To derive interannual surface displacement rates, we rely on UAV-derived digital topography from 2019-2022. In addition, we installed a time-lapse camera that records daily images of the rock glacier in July 2022 to resolve rock glacier movement at a higher temporal resolution. For both data sets, we use a feature-tracking approach as implemented in the environmental motion tracking software EMT. Preliminary results show differentiated velocity fields on the rock glacier surface with the southern lobe moving significantly faster than the larger northern lobe. Mean movement rates (2019- 2022) are around 0.58 m yr-1 for the southern lobe where maximum movement rates range up to 1.80 m yr-1. In contrast, mean movement rates for the northern lobe are only 0.1 m yr-1 with maximum rates of 0.36 m yr-1. Similar to earlier studies, we find a general increase in surface velocities over the past years that points to ongoing permafrost degradation. The pending analysis of the daily time lapse photos will provide an insight into how much of the annual movement occurs in summer and how the kinematics vary within a single season. As the timing of data acquisition varied each year, this knowledge can then also be used to refine the interpretation of interannual movement rates.
Fil: Rehn, Lisa. Albert Ludwigs University of Freiburg; Alemania
Fil: Tapia Baldis, Carla Cintia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina
Fil: Blöthe, Jan Henrick. Albert Ludwigs University of Freiburg; Alemania
Mid-European Geomorphology Meeting
Salzburg
Suiza
Salzburg University
Georesearch
Technische Universität München
Materia
Permafrost
Rock glaciers
Kinematics
Alps
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/222471

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spelling Detecting interannual and seasonal variability in rock glacier movement using a feature tracking approachRehn, LisaTapia Baldis, Carla CintiaBlöthe, Jan HenrickPermafrostRock glaciersKinematicsAlpshttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Permafrost degradation induces changes in water availability and runoff as well as slope instabilities in alpine regions. A thorough quantification of the degradational processes is therefore important for society in the immediate region and beyond, as it helps deepening our understanding and ultimately allows anticipating future trajectories of the alpine cryosphere. However, permafrost being an underground phenomenon makes quantification and temporal differentiation of the degradation processes inherently difficult. Active rock glaciers have become a prime research object as internal permafrost degradation induces changes in their kinematic behaviour. In our study, we investigate the surface kinematics of the Kaiserberg rock glacier in the Austrian Kaunertal on different timescales. To derive interannual surface displacement rates, we rely on UAV-derived digital topography from 2019-2022. In addition, we installed a time-lapse camera that records daily images of the rock glacier in July 2022 to resolve rock glacier movement at a higher temporal resolution. For both data sets, we use a feature-tracking approach as implemented in the environmental motion tracking software EMT. Preliminary results show differentiated velocity fields on the rock glacier surface with the southern lobe moving significantly faster than the larger northern lobe. Mean movement rates (2019- 2022) are around 0.58 m yr-1 for the southern lobe where maximum movement rates range up to 1.80 m yr-1. In contrast, mean movement rates for the northern lobe are only 0.1 m yr-1 with maximum rates of 0.36 m yr-1. Similar to earlier studies, we find a general increase in surface velocities over the past years that points to ongoing permafrost degradation. The pending analysis of the daily time lapse photos will provide an insight into how much of the annual movement occurs in summer and how the kinematics vary within a single season. As the timing of data acquisition varied each year, this knowledge can then also be used to refine the interpretation of interannual movement rates.Fil: Rehn, Lisa. Albert Ludwigs University of Freiburg; AlemaniaFil: Tapia Baldis, Carla Cintia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; ArgentinaFil: Blöthe, Jan Henrick. Albert Ludwigs University of Freiburg; AlemaniaMid-European Geomorphology MeetingSalzburgSuizaSalzburg UniversityGeoresearchTechnische Universität MünchenSalzburg University2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectReuniónBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/222471Detecting interannual and seasonal variability in rock glacier movement using a feature tracking approach; Mid-European Geomorphology Meeting; Salzburg; Suiza; 2022; 30 - 31CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.dggm.org/wp-content/uploads/2022/11/MGM22_Program-und-Abstracts_final.pdfinfo:eu-repo/semantics/altIdentifier/url/https://www.dggm.org/tagungen/mgm-salzburg-kaprun-2022/Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:49:38Zoai:ri.conicet.gov.ar:11336/222471instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:49:38.927CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Detecting interannual and seasonal variability in rock glacier movement using a feature tracking approach
title Detecting interannual and seasonal variability in rock glacier movement using a feature tracking approach
spellingShingle Detecting interannual and seasonal variability in rock glacier movement using a feature tracking approach
Rehn, Lisa
Permafrost
Rock glaciers
Kinematics
Alps
title_short Detecting interannual and seasonal variability in rock glacier movement using a feature tracking approach
title_full Detecting interannual and seasonal variability in rock glacier movement using a feature tracking approach
title_fullStr Detecting interannual and seasonal variability in rock glacier movement using a feature tracking approach
title_full_unstemmed Detecting interannual and seasonal variability in rock glacier movement using a feature tracking approach
title_sort Detecting interannual and seasonal variability in rock glacier movement using a feature tracking approach
dc.creator.none.fl_str_mv Rehn, Lisa
Tapia Baldis, Carla Cintia
Blöthe, Jan Henrick
author Rehn, Lisa
author_facet Rehn, Lisa
Tapia Baldis, Carla Cintia
Blöthe, Jan Henrick
author_role author
author2 Tapia Baldis, Carla Cintia
Blöthe, Jan Henrick
author2_role author
author
dc.subject.none.fl_str_mv Permafrost
Rock glaciers
Kinematics
Alps
topic Permafrost
Rock glaciers
Kinematics
Alps
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Permafrost degradation induces changes in water availability and runoff as well as slope instabilities in alpine regions. A thorough quantification of the degradational processes is therefore important for society in the immediate region and beyond, as it helps deepening our understanding and ultimately allows anticipating future trajectories of the alpine cryosphere. However, permafrost being an underground phenomenon makes quantification and temporal differentiation of the degradation processes inherently difficult. Active rock glaciers have become a prime research object as internal permafrost degradation induces changes in their kinematic behaviour. In our study, we investigate the surface kinematics of the Kaiserberg rock glacier in the Austrian Kaunertal on different timescales. To derive interannual surface displacement rates, we rely on UAV-derived digital topography from 2019-2022. In addition, we installed a time-lapse camera that records daily images of the rock glacier in July 2022 to resolve rock glacier movement at a higher temporal resolution. For both data sets, we use a feature-tracking approach as implemented in the environmental motion tracking software EMT. Preliminary results show differentiated velocity fields on the rock glacier surface with the southern lobe moving significantly faster than the larger northern lobe. Mean movement rates (2019- 2022) are around 0.58 m yr-1 for the southern lobe where maximum movement rates range up to 1.80 m yr-1. In contrast, mean movement rates for the northern lobe are only 0.1 m yr-1 with maximum rates of 0.36 m yr-1. Similar to earlier studies, we find a general increase in surface velocities over the past years that points to ongoing permafrost degradation. The pending analysis of the daily time lapse photos will provide an insight into how much of the annual movement occurs in summer and how the kinematics vary within a single season. As the timing of data acquisition varied each year, this knowledge can then also be used to refine the interpretation of interannual movement rates.
Fil: Rehn, Lisa. Albert Ludwigs University of Freiburg; Alemania
Fil: Tapia Baldis, Carla Cintia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina
Fil: Blöthe, Jan Henrick. Albert Ludwigs University of Freiburg; Alemania
Mid-European Geomorphology Meeting
Salzburg
Suiza
Salzburg University
Georesearch
Technische Universität München
description Permafrost degradation induces changes in water availability and runoff as well as slope instabilities in alpine regions. A thorough quantification of the degradational processes is therefore important for society in the immediate region and beyond, as it helps deepening our understanding and ultimately allows anticipating future trajectories of the alpine cryosphere. However, permafrost being an underground phenomenon makes quantification and temporal differentiation of the degradation processes inherently difficult. Active rock glaciers have become a prime research object as internal permafrost degradation induces changes in their kinematic behaviour. In our study, we investigate the surface kinematics of the Kaiserberg rock glacier in the Austrian Kaunertal on different timescales. To derive interannual surface displacement rates, we rely on UAV-derived digital topography from 2019-2022. In addition, we installed a time-lapse camera that records daily images of the rock glacier in July 2022 to resolve rock glacier movement at a higher temporal resolution. For both data sets, we use a feature-tracking approach as implemented in the environmental motion tracking software EMT. Preliminary results show differentiated velocity fields on the rock glacier surface with the southern lobe moving significantly faster than the larger northern lobe. Mean movement rates (2019- 2022) are around 0.58 m yr-1 for the southern lobe where maximum movement rates range up to 1.80 m yr-1. In contrast, mean movement rates for the northern lobe are only 0.1 m yr-1 with maximum rates of 0.36 m yr-1. Similar to earlier studies, we find a general increase in surface velocities over the past years that points to ongoing permafrost degradation. The pending analysis of the daily time lapse photos will provide an insight into how much of the annual movement occurs in summer and how the kinematics vary within a single season. As the timing of data acquisition varied each year, this knowledge can then also be used to refine the interpretation of interannual movement rates.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
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Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/222471
Detecting interannual and seasonal variability in rock glacier movement using a feature tracking approach; Mid-European Geomorphology Meeting; Salzburg; Suiza; 2022; 30 - 31
CONICET Digital
CONICET
url http://hdl.handle.net/11336/222471
identifier_str_mv Detecting interannual and seasonal variability in rock glacier movement using a feature tracking approach; Mid-European Geomorphology Meeting; Salzburg; Suiza; 2022; 30 - 31
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/url/https://www.dggm.org/tagungen/mgm-salzburg-kaprun-2022/
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dc.publisher.none.fl_str_mv Salzburg University
publisher.none.fl_str_mv Salzburg University
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