Permafrost Terrain Dynamics and Infrastructure Impacts Revealed by UAV Photogrammetry and Thermal Imaging

Unmanned Aerial Vehicle (UAV) systems, sensors, and photogrammetric processing techniques have enabled timely and highly detailed three-dimensional surface reconstructions at a scale that bridges the gap between conventional remote-sensing and field-scale observations. In this work 29 rotary and fix...

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Published in:Remote Sensing
Main Authors: Jurjen van der Sluijs, Steven V. Kokelj, Robert H. Fraser, Jon Tunnicliffe, Denis Lacelle
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2018
Subjects:
Q
Ice
Online Access:https://doi.org/10.3390/rs10111734
https://doaj.org/article/fa13fc584a1140ada2c0d53ee505842c
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spelling ftdoajarticles:oai:doaj.org/article:fa13fc584a1140ada2c0d53ee505842c 2023-05-15T16:37:19+02:00 Permafrost Terrain Dynamics and Infrastructure Impacts Revealed by UAV Photogrammetry and Thermal Imaging Jurjen van der Sluijs Steven V. Kokelj Robert H. Fraser Jon Tunnicliffe Denis Lacelle 2018-11-01T00:00:00Z https://doi.org/10.3390/rs10111734 https://doaj.org/article/fa13fc584a1140ada2c0d53ee505842c EN eng MDPI AG https://www.mdpi.com/2072-4292/10/11/1734 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs10111734 https://doaj.org/article/fa13fc584a1140ada2c0d53ee505842c Remote Sensing, Vol 10, Iss 11, p 1734 (2018) anthropogenic disturbance ground ice landscape dynamics thaw slump thermokarst stratigraphy time series digital terrain model Science Q article 2018 ftdoajarticles https://doi.org/10.3390/rs10111734 2022-12-31T10:53:48Z Unmanned Aerial Vehicle (UAV) systems, sensors, and photogrammetric processing techniques have enabled timely and highly detailed three-dimensional surface reconstructions at a scale that bridges the gap between conventional remote-sensing and field-scale observations. In this work 29 rotary and fixed-wing UAV surveys were conducted during multiple field campaigns, totaling 47 flights and over 14.3 km 2 , to document permafrost thaw subsidence impacts on or close to road infrastructure in the Northwest Territories, Canada. This paper provides four case studies: (1) terrain models and orthomosaic time series revealed the morphology and daily to annual dynamics of thaw-driven mass wasting phenomenon (retrogressive thaw slumps; RTS). Scar zone cut volume estimates ranged between 3.2 × 10 3 and 5.9 × 10 6 m 3 . The annual net erosion of RTS surveyed ranged between 0.35 × 10 3 and 0.39 × 10 6 m 3 . The largest RTS produced a long debris tongue with an estimated volume of 1.9 × 10 6 m 3 . Downslope transport of scar zone and embankment fill materials was visualized using flow vectors, while thermal imaging revealed areas of exposed ground ice and mobile lobes of saturated, thawed materials. (2) Stratigraphic models were developed for RTS headwalls, delineating ground-ice bodies and stratigraphic unconformities. (3) In poorly drained areas along road embankments, UAV surveys detected seasonal terrain uplift and settlement of up to 0.5 m (>1700 m 2 in extent) as a result of injection ice development. (4) Time series of terrain models highlighted the thaw-driven evolution of a borrow pit (6.4 × 10 5 m 3 cut volume) constructed in permafrost terrain, whereby fluvial and thaw-driven sediment transfer (1.1 and 3.9 × 10 3 m 3 a −1 respectively) was observed and annual slope profile reconfiguration was monitored to gain management insights concerning site stabilization. Elevation model vertical accuracies were also assessed as part of the case studies and ranged between 0.02 and 0.13 m Root Mean Square Error. ... Article in Journal/Newspaper Ice Northwest Territories permafrost Thermokarst Directory of Open Access Journals: DOAJ Articles Northwest Territories Canada Remote Sensing 10 11 1734
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic anthropogenic disturbance
ground ice
landscape dynamics
thaw slump
thermokarst
stratigraphy
time series
digital terrain model
Science
Q
spellingShingle anthropogenic disturbance
ground ice
landscape dynamics
thaw slump
thermokarst
stratigraphy
time series
digital terrain model
Science
Q
Jurjen van der Sluijs
Steven V. Kokelj
Robert H. Fraser
Jon Tunnicliffe
Denis Lacelle
Permafrost Terrain Dynamics and Infrastructure Impacts Revealed by UAV Photogrammetry and Thermal Imaging
topic_facet anthropogenic disturbance
ground ice
landscape dynamics
thaw slump
thermokarst
stratigraphy
time series
digital terrain model
Science
Q
description Unmanned Aerial Vehicle (UAV) systems, sensors, and photogrammetric processing techniques have enabled timely and highly detailed three-dimensional surface reconstructions at a scale that bridges the gap between conventional remote-sensing and field-scale observations. In this work 29 rotary and fixed-wing UAV surveys were conducted during multiple field campaigns, totaling 47 flights and over 14.3 km 2 , to document permafrost thaw subsidence impacts on or close to road infrastructure in the Northwest Territories, Canada. This paper provides four case studies: (1) terrain models and orthomosaic time series revealed the morphology and daily to annual dynamics of thaw-driven mass wasting phenomenon (retrogressive thaw slumps; RTS). Scar zone cut volume estimates ranged between 3.2 × 10 3 and 5.9 × 10 6 m 3 . The annual net erosion of RTS surveyed ranged between 0.35 × 10 3 and 0.39 × 10 6 m 3 . The largest RTS produced a long debris tongue with an estimated volume of 1.9 × 10 6 m 3 . Downslope transport of scar zone and embankment fill materials was visualized using flow vectors, while thermal imaging revealed areas of exposed ground ice and mobile lobes of saturated, thawed materials. (2) Stratigraphic models were developed for RTS headwalls, delineating ground-ice bodies and stratigraphic unconformities. (3) In poorly drained areas along road embankments, UAV surveys detected seasonal terrain uplift and settlement of up to 0.5 m (>1700 m 2 in extent) as a result of injection ice development. (4) Time series of terrain models highlighted the thaw-driven evolution of a borrow pit (6.4 × 10 5 m 3 cut volume) constructed in permafrost terrain, whereby fluvial and thaw-driven sediment transfer (1.1 and 3.9 × 10 3 m 3 a −1 respectively) was observed and annual slope profile reconfiguration was monitored to gain management insights concerning site stabilization. Elevation model vertical accuracies were also assessed as part of the case studies and ranged between 0.02 and 0.13 m Root Mean Square Error. ...
format Article in Journal/Newspaper
author Jurjen van der Sluijs
Steven V. Kokelj
Robert H. Fraser
Jon Tunnicliffe
Denis Lacelle
author_facet Jurjen van der Sluijs
Steven V. Kokelj
Robert H. Fraser
Jon Tunnicliffe
Denis Lacelle
author_sort Jurjen van der Sluijs
title Permafrost Terrain Dynamics and Infrastructure Impacts Revealed by UAV Photogrammetry and Thermal Imaging
title_short Permafrost Terrain Dynamics and Infrastructure Impacts Revealed by UAV Photogrammetry and Thermal Imaging
title_full Permafrost Terrain Dynamics and Infrastructure Impacts Revealed by UAV Photogrammetry and Thermal Imaging
title_fullStr Permafrost Terrain Dynamics and Infrastructure Impacts Revealed by UAV Photogrammetry and Thermal Imaging
title_full_unstemmed Permafrost Terrain Dynamics and Infrastructure Impacts Revealed by UAV Photogrammetry and Thermal Imaging
title_sort permafrost terrain dynamics and infrastructure impacts revealed by uav photogrammetry and thermal imaging
publisher MDPI AG
publishDate 2018
url https://doi.org/10.3390/rs10111734
https://doaj.org/article/fa13fc584a1140ada2c0d53ee505842c
geographic Northwest Territories
Canada
geographic_facet Northwest Territories
Canada
genre Ice
Northwest Territories
permafrost
Thermokarst
genre_facet Ice
Northwest Territories
permafrost
Thermokarst
op_source Remote Sensing, Vol 10, Iss 11, p 1734 (2018)
op_relation https://www.mdpi.com/2072-4292/10/11/1734
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs10111734
https://doaj.org/article/fa13fc584a1140ada2c0d53ee505842c
op_doi https://doi.org/10.3390/rs10111734
container_title Remote Sensing
container_volume 10
container_issue 11
container_start_page 1734
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