Kinematics of an Alpine rock glacier from multi-temporal UAV surveys and GNSS data

The quantification of rock glacier dynamics has gained increasing importance in recent years. In this study, the spatial and temporal flow patterns of perennially frozen debris in the active Gran Sometta rock glacier (Western Italian Alps) were investigated with repeated Unmanned Aerial Vehicle (UAV...

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Published in:Geomorphology
Main Authors: Bearzot, F, Garzonio, R, Di Mauro, B, Colombo, R, Cremonese, E, Crosta, G. B, Delaloye, R, Hauck, C, Morra Di Cella, U, Pogliotti, P, Frattini, P, Rossini, M.
Other Authors: Crosta, G, Rossini, M
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2022
Subjects:
Online Access:https://hdl.handle.net/10281/348016
https://doi.org/10.1016/j.geomorph.2022.108116
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author Bearzot, F
Garzonio, R
Di Mauro, B
Colombo, R
Cremonese, E
Crosta, G. B
Delaloye, R
Hauck, C
Morra Di Cella, U
Pogliotti, P
Frattini, P
Rossini, M.
author2 Bearzot, F
Garzonio, R
Di Mauro, B
Colombo, R
Cremonese, E
Crosta, G
Delaloye, R
Hauck, C
Morra Di Cella, U
Pogliotti, P
Frattini, P
Rossini, M
author_facet Bearzot, F
Garzonio, R
Di Mauro, B
Colombo, R
Cremonese, E
Crosta, G. B
Delaloye, R
Hauck, C
Morra Di Cella, U
Pogliotti, P
Frattini, P
Rossini, M.
author_sort Bearzot, F
collection Università degli Studi di Milano-Bicocca: BOA (Bicocca Open Archive)
container_start_page 108116
container_title Geomorphology
container_volume 402
description The quantification of rock glacier dynamics has gained increasing importance in recent years. In this study, the spatial and temporal flow patterns of perennially frozen debris in the active Gran Sometta rock glacier (Western Italian Alps) were investigated with repeated Unmanned Aerial Vehicle (UAV) surveys (2016–2019), Global Navigation Satellite System (GNSS) campaigns (2012−2020), geophysical prospections (2015) and ground surface temperature data (2014–2020). UAV data were used to generate maps of changes and elevation differences of the rock glacier surface by 3D point cloud comparison to evaluate surface lowering and accumulation processes. Horizontal velocities were quantified by an automatic image correlation technique and the results were then compared with horizontal surface velocities from GNSS measurements on selected points. The horizontal velocities estimated with the automatic method agree well with the GNSS velocities with an R2 = 0.99 and a RMSE lower than 0.07 m/y. Point cloud comparisons show surface lowering in the orographic left-hand side of the terminal part and in the central body of the rock glacier. The upper part exhibits almost absence of subsidence and any movement. This is explained by the lack of permafrost in this sector due to its overriding by the development of a small glacier during the Little Ice Age. As a result of the downslope movement, zones of surface rising occurred at the advancing front and at the moving ridge and furrow complexes. Surface velocity decreases from the orographic left to the right-hand side of the rock glacier tongue, where a thaw subsidence of up to 0.05 m/y was also observed. According to the GNSS measurements, the range of flow velocity of the rock glacier increased from 0.17–1.1 m/y in 2013 to 0.21–1.45 m/y in 2015 and then decreased until 2018 when the smallest surface velocity is detected. Since 2018, the creep velocities gradually started to increase again reaching values of 0.23 m/y up to a maximum of 1.9 m/y in the orographic left-hand side of ...
format Article in Journal/Newspaper
genre Ice
permafrost
genre_facet Ice
permafrost
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institution Open Polar
language English
op_collection_id ftunivmilanobic
op_doi https://doi.org/10.1016/j.geomorph.2022.108116
op_relation info:eu-repo/semantics/altIdentifier/wos/WOS:000784301800003
volume:402
issue:1 April 2022
journal:GEOMORPHOLOGY
https://hdl.handle.net/10281/348016
doi:10.1016/j.geomorph.2022.108116
op_rights info:eu-repo/semantics/openAccess
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spelling ftunivmilanobic:oai:boa.unimib.it:10281/348016 2025-05-25T13:50:28+00:00 Kinematics of an Alpine rock glacier from multi-temporal UAV surveys and GNSS data Bearzot, F Garzonio, R Di Mauro, B Colombo, R Cremonese, E Crosta, G. B Delaloye, R Hauck, C Morra Di Cella, U Pogliotti, P Frattini, P Rossini, M. Bearzot, F Garzonio, R Di Mauro, B Colombo, R Cremonese, E Crosta, G Delaloye, R Hauck, C Morra Di Cella, U Pogliotti, P Frattini, P Rossini, M 2022 STAMPA https://hdl.handle.net/10281/348016 https://doi.org/10.1016/j.geomorph.2022.108116 eng eng Elsevier BV country:NL info:eu-repo/semantics/altIdentifier/wos/WOS:000784301800003 volume:402 issue:1 April 2022 journal:GEOMORPHOLOGY https://hdl.handle.net/10281/348016 doi:10.1016/j.geomorph.2022.108116 info:eu-repo/semantics/openAccess GNSS Permafrost creep Point cloud Rock glacier Thermal effect UAV Settore GEOS-03/A - Geografia fisica e geomorfologia info:eu-repo/semantics/article 2022 ftunivmilanobic https://doi.org/10.1016/j.geomorph.2022.108116 2025-04-28T01:57:14Z The quantification of rock glacier dynamics has gained increasing importance in recent years. In this study, the spatial and temporal flow patterns of perennially frozen debris in the active Gran Sometta rock glacier (Western Italian Alps) were investigated with repeated Unmanned Aerial Vehicle (UAV) surveys (2016–2019), Global Navigation Satellite System (GNSS) campaigns (2012−2020), geophysical prospections (2015) and ground surface temperature data (2014–2020). UAV data were used to generate maps of changes and elevation differences of the rock glacier surface by 3D point cloud comparison to evaluate surface lowering and accumulation processes. Horizontal velocities were quantified by an automatic image correlation technique and the results were then compared with horizontal surface velocities from GNSS measurements on selected points. The horizontal velocities estimated with the automatic method agree well with the GNSS velocities with an R2 = 0.99 and a RMSE lower than 0.07 m/y. Point cloud comparisons show surface lowering in the orographic left-hand side of the terminal part and in the central body of the rock glacier. The upper part exhibits almost absence of subsidence and any movement. This is explained by the lack of permafrost in this sector due to its overriding by the development of a small glacier during the Little Ice Age. As a result of the downslope movement, zones of surface rising occurred at the advancing front and at the moving ridge and furrow complexes. Surface velocity decreases from the orographic left to the right-hand side of the rock glacier tongue, where a thaw subsidence of up to 0.05 m/y was also observed. According to the GNSS measurements, the range of flow velocity of the rock glacier increased from 0.17–1.1 m/y in 2013 to 0.21–1.45 m/y in 2015 and then decreased until 2018 when the smallest surface velocity is detected. Since 2018, the creep velocities gradually started to increase again reaching values of 0.23 m/y up to a maximum of 1.9 m/y in the orographic left-hand side of ... Article in Journal/Newspaper Ice permafrost Università degli Studi di Milano-Bicocca: BOA (Bicocca Open Archive) Geomorphology 402 108116
spellingShingle GNSS
Permafrost creep
Point cloud
Rock glacier
Thermal effect
UAV
Settore GEOS-03/A - Geografia fisica e geomorfologia
Bearzot, F
Garzonio, R
Di Mauro, B
Colombo, R
Cremonese, E
Crosta, G. B
Delaloye, R
Hauck, C
Morra Di Cella, U
Pogliotti, P
Frattini, P
Rossini, M.
Kinematics of an Alpine rock glacier from multi-temporal UAV surveys and GNSS data
title Kinematics of an Alpine rock glacier from multi-temporal UAV surveys and GNSS data
title_full Kinematics of an Alpine rock glacier from multi-temporal UAV surveys and GNSS data
title_fullStr Kinematics of an Alpine rock glacier from multi-temporal UAV surveys and GNSS data
title_full_unstemmed Kinematics of an Alpine rock glacier from multi-temporal UAV surveys and GNSS data
title_short Kinematics of an Alpine rock glacier from multi-temporal UAV surveys and GNSS data
title_sort kinematics of an alpine rock glacier from multi-temporal uav surveys and gnss data
topic GNSS
Permafrost creep
Point cloud
Rock glacier
Thermal effect
UAV
Settore GEOS-03/A - Geografia fisica e geomorfologia
topic_facet GNSS
Permafrost creep
Point cloud
Rock glacier
Thermal effect
UAV
Settore GEOS-03/A - Geografia fisica e geomorfologia
url https://hdl.handle.net/10281/348016
https://doi.org/10.1016/j.geomorph.2022.108116