Thaw slump activity measured using stationary cameras in time-lapse and Structure-from-Motion photogrammetry

Thaw slumps are one of the most dynamic features in permafrost terrain. Improved temporal and spatial resolution monitoring of slump activity is required to better characterize their dynamics over the thaw season. We assess how a ground-based stationary camera array in a time-lapse configuration can...

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Main Authors: Lindsay Armstrong, Denis Lacelle, Robert H. Fraser, Steve Kokelj, Anders Knudby
Format: Article
Language:English
Published: Canadian Science Publishing 2018-12-01
Series:Arctic Science
Subjects:
Online Access:https://doi.org/10.1139/as-2018-0016
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spelling doaj-9413ebf3b1c548ad916ab7dd0f8b86382021-09-20T15:03:14ZengCanadian Science PublishingArctic Science2368-74602018-12-014482784510.1139/as-2018-0016Thaw slump activity measured using stationary cameras in time-lapse and Structure-from-Motion photogrammetryLindsay Armstrong0Denis Lacelle1Robert H. Fraser2Steve Kokelj3Anders Knudby4Department of Geography, Environment and Geomatics, University of Ottawa, Ottawa, ON K1N 6N5, Canada.Department of Geography, Environment and Geomatics, University of Ottawa, Ottawa, ON K1N 6N5, Canada.Canada Centre for Mapping and Earth Observation, Natural Resources Canada, Ottawa, ON K1S 5H4, Canada.Northwest Territories Geological Survey, Government of Northwest Territories, Yellowknife, NWT X1A 1K3, Canada.Department of Geography, Environment and Geomatics, University of Ottawa, Ottawa, ON K1N 6N5, Canada.Thaw slumps are one of the most dynamic features in permafrost terrain. Improved temporal and spatial resolution monitoring of slump activity is required to better characterize their dynamics over the thaw season. We assess how a ground-based stationary camera array in a time-lapse configuration can be integrated with unmanned aerial vehicle (UAV)-based surveys and Structure-from-Motion processing to monitor the activity of thaw slumps at high temporal and spatial resolutions. We successfully constructed point-clouds and digital surface models of the headwall area of a thaw slump at 6- to 13-day intervals over the summer, significantly improving the decadal to annual temporal resolution of previous studies. The successfully modeled headwall portion of the slump revealed that headwall retreat rates were significantly correlated with mean daily air temperature, thawing degree-days, and average net short-wave radiation and suggest a two-phased slump activity. The main challenges were related to strong JPEG image compression, drifting camera clocks, and highly dynamic nature of the feature. Combined with annual UAV-based surveys, the proposed methodology can address temporal gaps in our understanding of factors driving thaw slump activity. Such insight could help predict how slumps could modify their behavior under changing climate.https://doi.org/10.1139/as-2018-0016thermokarstpermafrostremote sensingarctic
collection DOAJ
language English
format Article
sources DOAJ
author Lindsay Armstrong
Denis Lacelle
Robert H. Fraser
Steve Kokelj
Anders Knudby
spellingShingle Lindsay Armstrong
Denis Lacelle
Robert H. Fraser
Steve Kokelj
Anders Knudby
Thaw slump activity measured using stationary cameras in time-lapse and Structure-from-Motion photogrammetry
Arctic Science
thermokarst
permafrost
remote sensing
arctic
author_facet Lindsay Armstrong
Denis Lacelle
Robert H. Fraser
Steve Kokelj
Anders Knudby
author_sort Lindsay Armstrong
title Thaw slump activity measured using stationary cameras in time-lapse and Structure-from-Motion photogrammetry
title_short Thaw slump activity measured using stationary cameras in time-lapse and Structure-from-Motion photogrammetry
title_full Thaw slump activity measured using stationary cameras in time-lapse and Structure-from-Motion photogrammetry
title_fullStr Thaw slump activity measured using stationary cameras in time-lapse and Structure-from-Motion photogrammetry
title_full_unstemmed Thaw slump activity measured using stationary cameras in time-lapse and Structure-from-Motion photogrammetry
title_sort thaw slump activity measured using stationary cameras in time-lapse and structure-from-motion photogrammetry
publisher Canadian Science Publishing
series Arctic Science
issn 2368-7460
publishDate 2018-12-01
description Thaw slumps are one of the most dynamic features in permafrost terrain. Improved temporal and spatial resolution monitoring of slump activity is required to better characterize their dynamics over the thaw season. We assess how a ground-based stationary camera array in a time-lapse configuration can be integrated with unmanned aerial vehicle (UAV)-based surveys and Structure-from-Motion processing to monitor the activity of thaw slumps at high temporal and spatial resolutions. We successfully constructed point-clouds and digital surface models of the headwall area of a thaw slump at 6- to 13-day intervals over the summer, significantly improving the decadal to annual temporal resolution of previous studies. The successfully modeled headwall portion of the slump revealed that headwall retreat rates were significantly correlated with mean daily air temperature, thawing degree-days, and average net short-wave radiation and suggest a two-phased slump activity. The main challenges were related to strong JPEG image compression, drifting camera clocks, and highly dynamic nature of the feature. Combined with annual UAV-based surveys, the proposed methodology can address temporal gaps in our understanding of factors driving thaw slump activity. Such insight could help predict how slumps could modify their behavior under changing climate.
topic thermokarst
permafrost
remote sensing
arctic
url https://doi.org/10.1139/as-2018-0016
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