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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/222471
Ver los metadatos del registro completo
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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 Reunión 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 |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.dggm.org/wp-content/uploads/2022/11/MGM22_Program-und-Abstracts_final.pdf info:eu-repo/semantics/altIdentifier/url/https://www.dggm.org/tagungen/mgm-salzburg-kaprun-2022/ |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.coverage.none.fl_str_mv |
Internacional |
dc.publisher.none.fl_str_mv |
Salzburg University |
publisher.none.fl_str_mv |
Salzburg University |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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