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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crcansciencepubl:10.1139/as-2018-0016 2024-09-15T17:49:58+00:00 Thaw slump activity measured using stationary cameras in time-lapse and Structure-from-Motion photogrammetry Armstrong, Lindsay Lacelle, Denis Fraser, Robert H. Kokelj, Steve Knudby, Anders 2018 http://dx.doi.org/10.1139/as-2018-0016 https://cdnsciencepub.com/doi/full-xml/10.1139/as-2018-0016 https://cdnsciencepub.com/doi/pdf/10.1139/as-2018-0016 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Arctic Science volume 4, issue 4, page 827-845 ISSN 2368-7460 2368-7460 journal-article 2018 crcansciencepubl https://doi.org/10.1139/as-2018-0016 2024-08-22T04:08:45Z 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. Article in Journal/Newspaper Arctic permafrost Canadian Science Publishing Arctic Science 4 4 827 845 |
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Open Polar |
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Canadian Science Publishing |
op_collection_id |
crcansciencepubl |
language |
English |
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. |
format |
Article in Journal/Newspaper |
author |
Armstrong, Lindsay Lacelle, Denis Fraser, Robert H. Kokelj, Steve Knudby, Anders |
spellingShingle |
Armstrong, Lindsay Lacelle, Denis Fraser, Robert H. Kokelj, Steve Knudby, Anders Thaw slump activity measured using stationary cameras in time-lapse and Structure-from-Motion photogrammetry |
author_facet |
Armstrong, Lindsay Lacelle, Denis Fraser, Robert H. Kokelj, Steve Knudby, Anders |
author_sort |
Armstrong, Lindsay |
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 |
publishDate |
2018 |
url |
http://dx.doi.org/10.1139/as-2018-0016 https://cdnsciencepub.com/doi/full-xml/10.1139/as-2018-0016 https://cdnsciencepub.com/doi/pdf/10.1139/as-2018-0016 |
genre |
Arctic permafrost |
genre_facet |
Arctic permafrost |
op_source |
Arctic Science volume 4, issue 4, page 827-845 ISSN 2368-7460 2368-7460 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/as-2018-0016 |
container_title |
Arctic Science |
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4 |
container_issue |
4 |
container_start_page |
827 |
op_container_end_page |
845 |
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1810291813736513536 |