Thaw-Season InSAR Surface Displacements and Frost Susceptibility Mapping to Support Community-Scale Planning in Ilulissat, West Greenland

In permafrost regions, ground surface deformations induced by freezing and thawing threaten the integrity of the built environment. Mapping the frost susceptibility of the ground at a high spatial resolution is of practical importance for the construction and planning sectors. We processed Sentinel-...

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Published in:Remote Sensing
Main Authors: Johanna Scheer, Rafael Caduff, Penelope How, Marco Marcer, Tazio Strozzi, Annett Bartsch, Thomas Ingeman-Nielsen
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2023
Subjects:
Q
Ice
Online Access:https://doi.org/10.3390/rs15133310
https://doaj.org/article/f5b03a7ce599469e9973919e9e3a70aa
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spelling ftdoajarticles:oai:doaj.org/article:f5b03a7ce599469e9973919e9e3a70aa 2023-07-30T03:55:27+02:00 Thaw-Season InSAR Surface Displacements and Frost Susceptibility Mapping to Support Community-Scale Planning in Ilulissat, West Greenland Johanna Scheer Rafael Caduff Penelope How Marco Marcer Tazio Strozzi Annett Bartsch Thomas Ingeman-Nielsen 2023-06-01T00:00:00Z https://doi.org/10.3390/rs15133310 https://doaj.org/article/f5b03a7ce599469e9973919e9e3a70aa EN eng MDPI AG https://www.mdpi.com/2072-4292/15/13/3310 https://doaj.org/toc/2072-4292 doi:10.3390/rs15133310 2072-4292 https://doaj.org/article/f5b03a7ce599469e9973919e9e3a70aa Remote Sensing, Vol 15, Iss 3310, p 3310 (2023) InSAR permafrost active layer Arctic infrastructure ice content Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15133310 2023-07-16T00:34:46Z In permafrost regions, ground surface deformations induced by freezing and thawing threaten the integrity of the built environment. Mapping the frost susceptibility of the ground at a high spatial resolution is of practical importance for the construction and planning sectors. We processed Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR) data from thawing seasons 2015 to 2019, acquired over the area of Ilulissat, West Greenland. We used a least-squares inversion scheme to retrieve the average seasonal displacement (S) and long-term deformation rate (R). We secondly investigated two different methods to extrapolate active layer thickness (ALT) measurements, based on their statistical relationship with remotely sensed surface characteristics. A generalized linear model (GLM) was first implemented, but the model was not able to fit the data and represent the ALT spatial variability over the entire study domain. ALT were alternatively averaged per vegetation class, using a land cover map derived by supervised classification of Sentinel-2 images. We finally estimated the active layer ice content and used it as a proxy to map the frost susceptibility of the ground at the community scale. Fine-grained sedimentary basins in Ilulissat were typically frost susceptible and subject to average seasonal downward displacements of 3 to 8 <semantics> cm </semantics> . Areas following a subsiding trend of up to 2.6 <semantics> cm / yr </semantics> were likely affected by permafrost degradation and melting of ground ice below the permafrost table. Our approach enabled us to identify frost-susceptible areas subject to severe seasonal deformations, to long-term subsidence induced by degrading permafrost, or to both. Used in combination with traditional site investigations, InSAR maps provide valuable information for risk management and community planning in the Arctic. Article in Journal/Newspaper Active layer thickness Arctic Greenland Ice Ilulissat permafrost Directory of Open Access Journals: DOAJ Articles Arctic Greenland Ilulissat ENVELOPE(-51.099,-51.099,69.220,69.220) Remote Sensing 15 13 3310
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic InSAR
permafrost
active layer
Arctic infrastructure
ice content
Science
Q
spellingShingle InSAR
permafrost
active layer
Arctic infrastructure
ice content
Science
Q
Johanna Scheer
Rafael Caduff
Penelope How
Marco Marcer
Tazio Strozzi
Annett Bartsch
Thomas Ingeman-Nielsen
Thaw-Season InSAR Surface Displacements and Frost Susceptibility Mapping to Support Community-Scale Planning in Ilulissat, West Greenland
topic_facet InSAR
permafrost
active layer
Arctic infrastructure
ice content
Science
Q
description In permafrost regions, ground surface deformations induced by freezing and thawing threaten the integrity of the built environment. Mapping the frost susceptibility of the ground at a high spatial resolution is of practical importance for the construction and planning sectors. We processed Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR) data from thawing seasons 2015 to 2019, acquired over the area of Ilulissat, West Greenland. We used a least-squares inversion scheme to retrieve the average seasonal displacement (S) and long-term deformation rate (R). We secondly investigated two different methods to extrapolate active layer thickness (ALT) measurements, based on their statistical relationship with remotely sensed surface characteristics. A generalized linear model (GLM) was first implemented, but the model was not able to fit the data and represent the ALT spatial variability over the entire study domain. ALT were alternatively averaged per vegetation class, using a land cover map derived by supervised classification of Sentinel-2 images. We finally estimated the active layer ice content and used it as a proxy to map the frost susceptibility of the ground at the community scale. Fine-grained sedimentary basins in Ilulissat were typically frost susceptible and subject to average seasonal downward displacements of 3 to 8 <semantics> cm </semantics> . Areas following a subsiding trend of up to 2.6 <semantics> cm / yr </semantics> were likely affected by permafrost degradation and melting of ground ice below the permafrost table. Our approach enabled us to identify frost-susceptible areas subject to severe seasonal deformations, to long-term subsidence induced by degrading permafrost, or to both. Used in combination with traditional site investigations, InSAR maps provide valuable information for risk management and community planning in the Arctic.
format Article in Journal/Newspaper
author Johanna Scheer
Rafael Caduff
Penelope How
Marco Marcer
Tazio Strozzi
Annett Bartsch
Thomas Ingeman-Nielsen
author_facet Johanna Scheer
Rafael Caduff
Penelope How
Marco Marcer
Tazio Strozzi
Annett Bartsch
Thomas Ingeman-Nielsen
author_sort Johanna Scheer
title Thaw-Season InSAR Surface Displacements and Frost Susceptibility Mapping to Support Community-Scale Planning in Ilulissat, West Greenland
title_short Thaw-Season InSAR Surface Displacements and Frost Susceptibility Mapping to Support Community-Scale Planning in Ilulissat, West Greenland
title_full Thaw-Season InSAR Surface Displacements and Frost Susceptibility Mapping to Support Community-Scale Planning in Ilulissat, West Greenland
title_fullStr Thaw-Season InSAR Surface Displacements and Frost Susceptibility Mapping to Support Community-Scale Planning in Ilulissat, West Greenland
title_full_unstemmed Thaw-Season InSAR Surface Displacements and Frost Susceptibility Mapping to Support Community-Scale Planning in Ilulissat, West Greenland
title_sort thaw-season insar surface displacements and frost susceptibility mapping to support community-scale planning in ilulissat, west greenland
publisher MDPI AG
publishDate 2023
url https://doi.org/10.3390/rs15133310
https://doaj.org/article/f5b03a7ce599469e9973919e9e3a70aa
long_lat ENVELOPE(-51.099,-51.099,69.220,69.220)
geographic Arctic
Greenland
Ilulissat
geographic_facet Arctic
Greenland
Ilulissat
genre Active layer thickness
Arctic
Greenland
Ice
Ilulissat
permafrost
genre_facet Active layer thickness
Arctic
Greenland
Ice
Ilulissat
permafrost
op_source Remote Sensing, Vol 15, Iss 3310, p 3310 (2023)
op_relation https://www.mdpi.com/2072-4292/15/13/3310
https://doaj.org/toc/2072-4292
doi:10.3390/rs15133310
2072-4292
https://doaj.org/article/f5b03a7ce599469e9973919e9e3a70aa
op_doi https://doi.org/10.3390/rs15133310
container_title Remote Sensing
container_volume 15
container_issue 13
container_start_page 3310
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