Characterization of the Fels Landslide (Alaska) Using Combined Terrestrial, Aerial, and Satellite Remote Sensing Data

The characterization of landslides located in remote areas poses significant challenges due to the costs of reaching the sites and the lack of reliable subsurface data to constrain geological interpretations. In this paper, the advantages of combining field and remote sensing techniques to investiga...

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Published in:Remote Sensing
Main Authors: Davide Donati, Doug Stead, Bernhard Rabus, Jeanine Engelbrecht, John J. Clague, Stephen D. Newman, Mirko Francioni
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2023
Subjects:
SAR
Q
Online Access:https://doi.org/10.3390/rs16010117
https://doaj.org/article/b76ce4b51eae4354b18bb345a6e65cce
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spelling ftdoajarticles:oai:doaj.org/article:b76ce4b51eae4354b18bb345a6e65cce 2024-02-11T10:03:59+01:00 Characterization of the Fels Landslide (Alaska) Using Combined Terrestrial, Aerial, and Satellite Remote Sensing Data Davide Donati Doug Stead Bernhard Rabus Jeanine Engelbrecht John J. Clague Stephen D. Newman Mirko Francioni 2023-12-01T00:00:00Z https://doi.org/10.3390/rs16010117 https://doaj.org/article/b76ce4b51eae4354b18bb345a6e65cce EN eng MDPI AG https://www.mdpi.com/2072-4292/16/1/117 https://doaj.org/toc/2072-4292 doi:10.3390/rs16010117 2072-4292 https://doaj.org/article/b76ce4b51eae4354b18bb345a6e65cce Remote Sensing, Vol 16, Iss 1, p 117 (2023) landslide characterization displacement monitoring multisensor analysis LiDAR SAR structure-from-motion Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs16010117 2024-01-14T01:38:50Z The characterization of landslides located in remote areas poses significant challenges due to the costs of reaching the sites and the lack of reliable subsurface data to constrain geological interpretations. In this paper, the advantages of combining field and remote sensing techniques to investigate the deformation and stability of rock slopes are demonstrated. The characterization of the Fels landslide, a large, slowly deforming rock slope in central Alaska, is described. Historical aerial imagery is used to highlight the relationship between glacier retreat and developing instability. Airborne laser scanning (ALS) and Structure-from-Motion (SfM) datasets are used to investigate the structural geological setting of the landslide, revealing a good agreement between structural discontinuities at the outcrop and slope scales. The magnitude, plunge, and direction of slope surface displacements and their changes over time are studied using a multi-temporal synthetic aperture radar speckle-tracking (SAR ST) dataset. The analyses show an increase in displacement rates (i.e., an acceleration of the movement) between 2010 and 2020. Significant spatial variations of displacement direction and plunge are noted and correlated with the morphology of the failure surface reconstructed using the vector inclination method (VIM). In particular, steeper displacement vectors were reconstructed in the upper slope, compared to the central part, thus suggesting a change in basal surface morphology, which is largely controlled by rock mass foliation. Through this analytical approach, the Fels landslide is shown to be a slow-moving, compound rockslide, the displacement of which is controlled by structural geological features and promoted by glacier retreat. Article in Journal/Newspaper glacier Alaska Directory of Open Access Journals: DOAJ Articles Remote Sensing 16 1 117
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic landslide characterization
displacement monitoring
multisensor analysis
LiDAR
SAR
structure-from-motion
Science
Q
spellingShingle landslide characterization
displacement monitoring
multisensor analysis
LiDAR
SAR
structure-from-motion
Science
Q
Davide Donati
Doug Stead
Bernhard Rabus
Jeanine Engelbrecht
John J. Clague
Stephen D. Newman
Mirko Francioni
Characterization of the Fels Landslide (Alaska) Using Combined Terrestrial, Aerial, and Satellite Remote Sensing Data
topic_facet landslide characterization
displacement monitoring
multisensor analysis
LiDAR
SAR
structure-from-motion
Science
Q
description The characterization of landslides located in remote areas poses significant challenges due to the costs of reaching the sites and the lack of reliable subsurface data to constrain geological interpretations. In this paper, the advantages of combining field and remote sensing techniques to investigate the deformation and stability of rock slopes are demonstrated. The characterization of the Fels landslide, a large, slowly deforming rock slope in central Alaska, is described. Historical aerial imagery is used to highlight the relationship between glacier retreat and developing instability. Airborne laser scanning (ALS) and Structure-from-Motion (SfM) datasets are used to investigate the structural geological setting of the landslide, revealing a good agreement between structural discontinuities at the outcrop and slope scales. The magnitude, plunge, and direction of slope surface displacements and their changes over time are studied using a multi-temporal synthetic aperture radar speckle-tracking (SAR ST) dataset. The analyses show an increase in displacement rates (i.e., an acceleration of the movement) between 2010 and 2020. Significant spatial variations of displacement direction and plunge are noted and correlated with the morphology of the failure surface reconstructed using the vector inclination method (VIM). In particular, steeper displacement vectors were reconstructed in the upper slope, compared to the central part, thus suggesting a change in basal surface morphology, which is largely controlled by rock mass foliation. Through this analytical approach, the Fels landslide is shown to be a slow-moving, compound rockslide, the displacement of which is controlled by structural geological features and promoted by glacier retreat.
format Article in Journal/Newspaper
author Davide Donati
Doug Stead
Bernhard Rabus
Jeanine Engelbrecht
John J. Clague
Stephen D. Newman
Mirko Francioni
author_facet Davide Donati
Doug Stead
Bernhard Rabus
Jeanine Engelbrecht
John J. Clague
Stephen D. Newman
Mirko Francioni
author_sort Davide Donati
title Characterization of the Fels Landslide (Alaska) Using Combined Terrestrial, Aerial, and Satellite Remote Sensing Data
title_short Characterization of the Fels Landslide (Alaska) Using Combined Terrestrial, Aerial, and Satellite Remote Sensing Data
title_full Characterization of the Fels Landslide (Alaska) Using Combined Terrestrial, Aerial, and Satellite Remote Sensing Data
title_fullStr Characterization of the Fels Landslide (Alaska) Using Combined Terrestrial, Aerial, and Satellite Remote Sensing Data
title_full_unstemmed Characterization of the Fels Landslide (Alaska) Using Combined Terrestrial, Aerial, and Satellite Remote Sensing Data
title_sort characterization of the fels landslide (alaska) using combined terrestrial, aerial, and satellite remote sensing data
publisher MDPI AG
publishDate 2023
url https://doi.org/10.3390/rs16010117
https://doaj.org/article/b76ce4b51eae4354b18bb345a6e65cce
genre glacier
Alaska
genre_facet glacier
Alaska
op_source Remote Sensing, Vol 16, Iss 1, p 117 (2023)
op_relation https://www.mdpi.com/2072-4292/16/1/117
https://doaj.org/toc/2072-4292
doi:10.3390/rs16010117
2072-4292
https://doaj.org/article/b76ce4b51eae4354b18bb345a6e65cce
op_doi https://doi.org/10.3390/rs16010117
container_title Remote Sensing
container_volume 16
container_issue 1
container_start_page 117
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