Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar

Active rock glaciers represent the best visual expression of mountain permafrost that can be mapped and monitored directly using remotely sensed data. Active rock glaciers are bodies that consist of a perennially frozen ice/rock mixture and express a distinct flow-like morphology indicating downslop...

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Published in:Remote Sensing
Main Authors: Strozzi, Tazio, Caduff, Rafael, Jones, Nina, Barboux, Chloe, Delaloye, Reynald, Bodin, Xavier, Kääb, Andreas, Mätzler, Eva, Schrott, Lothar
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Ice
Online Access:http://hdl.handle.net/10852/82245
http://urn.nb.no/URN:NBN:no-85168
https://doi.org/10.3390/rs12030559
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spelling ftoslouniv:oai:www.duo.uio.no:10852/82245 2023-05-15T16:21:23+02:00 Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar Strozzi, Tazio Caduff, Rafael Jones, Nina Barboux, Chloe Delaloye, Reynald Bodin, Xavier Kääb, Andreas Mätzler, Eva Schrott, Lothar 2021-01-11T10:39:36Z http://hdl.handle.net/10852/82245 http://urn.nb.no/URN:NBN:no-85168 https://doi.org/10.3390/rs12030559 EN eng http://urn.nb.no/URN:NBN:no-85168 Strozzi, Tazio Caduff, Rafael Jones, Nina Barboux, Chloe Delaloye, Reynald Bodin, Xavier Kääb, Andreas Mätzler, Eva Schrott, Lothar . Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar. Remote Sensing. 2020 http://hdl.handle.net/10852/82245 1868677 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote Sensing&rft.volume=&rft.spage=&rft.date=2020 Remote Sensing 12 3 https://doi.org/10.3390/rs12030559 URN:NBN:no-85168 Fulltext https://www.duo.uio.no/bitstream/handle/10852/82245/2/remotesensing-12-00559-v2.pdf Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ CC-BY 2072-4292 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2021 ftoslouniv https://doi.org/10.3390/rs12030559 2021-01-20T23:30:59Z Active rock glaciers represent the best visual expression of mountain permafrost that can be mapped and monitored directly using remotely sensed data. Active rock glaciers are bodies that consist of a perennially frozen ice/rock mixture and express a distinct flow-like morphology indicating downslope permafrost creep movement. Annual rates of motion have ranged from a few millimeters to several meters per year, varying within the annual cycle, from year to year, as well as at the decennial time scale. During the last decade, in situ observations in the European Alps have shown that active rock glaciers are responding almost synchronously to inter-annual and decennial changes in ground temperature, suggesting that the relative changes of their kinematics are a general indicator of the evolution of mountain permafrost conditions. Here, we used satellite radar interferometry (InSAR) to monitor the rate of motion of various active rock glaciers in the Swiss Alps, Qeqertarsuaq (Western Greenland), and the semiarid Andes of South America. Velocity time series computed with Sentinel-1 SAR images, regularly acquired since 2014, every six days over Europe and Greenland and every 12 days over the Andes, show annual fluctuations, with higher velocities at the end of the summer. A JERS-1 image pair of 1996 and stacks of very high-resolution SAR images from TerraSAR-X and Cosmo-SkyMed from 2008 to 2017 were analyzed using InSAR and offset tracking over the Western Swiss Alps in order to extend the main observation period of our study. A quantitative assessment of the accuracy of InSAR and offset tracking was performed by comparison with in situ methods. Our results for the three different study regions demonstrate that Sentinel-1 InSAR can complement worldwide in situ measurements of active rock glacier kinematics. Article in Journal/Newspaper glacier Greenland Ice permafrost Qeqertarsuaq Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Greenland Qeqertarsuaq ENVELOPE(-56.867,-56.867,74.400,74.400) Remote Sensing 12 3 559
institution Open Polar
collection Universitet i Oslo: Digitale utgivelser ved UiO (DUO)
op_collection_id ftoslouniv
language English
description Active rock glaciers represent the best visual expression of mountain permafrost that can be mapped and monitored directly using remotely sensed data. Active rock glaciers are bodies that consist of a perennially frozen ice/rock mixture and express a distinct flow-like morphology indicating downslope permafrost creep movement. Annual rates of motion have ranged from a few millimeters to several meters per year, varying within the annual cycle, from year to year, as well as at the decennial time scale. During the last decade, in situ observations in the European Alps have shown that active rock glaciers are responding almost synchronously to inter-annual and decennial changes in ground temperature, suggesting that the relative changes of their kinematics are a general indicator of the evolution of mountain permafrost conditions. Here, we used satellite radar interferometry (InSAR) to monitor the rate of motion of various active rock glaciers in the Swiss Alps, Qeqertarsuaq (Western Greenland), and the semiarid Andes of South America. Velocity time series computed with Sentinel-1 SAR images, regularly acquired since 2014, every six days over Europe and Greenland and every 12 days over the Andes, show annual fluctuations, with higher velocities at the end of the summer. A JERS-1 image pair of 1996 and stacks of very high-resolution SAR images from TerraSAR-X and Cosmo-SkyMed from 2008 to 2017 were analyzed using InSAR and offset tracking over the Western Swiss Alps in order to extend the main observation period of our study. A quantitative assessment of the accuracy of InSAR and offset tracking was performed by comparison with in situ methods. Our results for the three different study regions demonstrate that Sentinel-1 InSAR can complement worldwide in situ measurements of active rock glacier kinematics.
format Article in Journal/Newspaper
author Strozzi, Tazio
Caduff, Rafael
Jones, Nina
Barboux, Chloe
Delaloye, Reynald
Bodin, Xavier
Kääb, Andreas
Mätzler, Eva
Schrott, Lothar
spellingShingle Strozzi, Tazio
Caduff, Rafael
Jones, Nina
Barboux, Chloe
Delaloye, Reynald
Bodin, Xavier
Kääb, Andreas
Mätzler, Eva
Schrott, Lothar
Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar
author_facet Strozzi, Tazio
Caduff, Rafael
Jones, Nina
Barboux, Chloe
Delaloye, Reynald
Bodin, Xavier
Kääb, Andreas
Mätzler, Eva
Schrott, Lothar
author_sort Strozzi, Tazio
title Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar
title_short Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar
title_full Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar
title_fullStr Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar
title_full_unstemmed Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar
title_sort monitoring rock glacier kinematics with satellite synthetic aperture radar
publishDate 2021
url http://hdl.handle.net/10852/82245
http://urn.nb.no/URN:NBN:no-85168
https://doi.org/10.3390/rs12030559
long_lat ENVELOPE(-56.867,-56.867,74.400,74.400)
geographic Greenland
Qeqertarsuaq
geographic_facet Greenland
Qeqertarsuaq
genre glacier
Greenland
Ice
permafrost
Qeqertarsuaq
genre_facet glacier
Greenland
Ice
permafrost
Qeqertarsuaq
op_source 2072-4292
op_relation http://urn.nb.no/URN:NBN:no-85168
Strozzi, Tazio Caduff, Rafael Jones, Nina Barboux, Chloe Delaloye, Reynald Bodin, Xavier Kääb, Andreas Mätzler, Eva Schrott, Lothar . Monitoring Rock Glacier Kinematics with Satellite Synthetic Aperture Radar. Remote Sensing. 2020
http://hdl.handle.net/10852/82245
1868677
info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Remote Sensing&rft.volume=&rft.spage=&rft.date=2020
Remote Sensing
12
3
https://doi.org/10.3390/rs12030559
URN:NBN:no-85168
Fulltext https://www.duo.uio.no/bitstream/handle/10852/82245/2/remotesensing-12-00559-v2.pdf
op_rights Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.3390/rs12030559
container_title Remote Sensing
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container_issue 3
container_start_page 559
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