Towards precise drone-based measurement of elevation change in permafrost terrain experiencing thaw and thermokarst

Measuring ground elevation changes plays a crucial role in several environmental applications. For instance, permafrost soils undergo seasonal active layer freezing and thawing that causes cyclic elevation changes. Permafrost thaw can result in unidirectional ground subsidence, which may be gradual...

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Main Authors: Robert H. Fraser, Sylvain G. Leblanc, Christian Prevost, Jurjen van der Sluijs
Format: Article
Language:English
Published: Canadian Science Publishing 2022-01-01
Series:Drone Systems and Applications
Subjects:
Online Access:https://cdnsciencepub.com/doi/10.1139/dsa-2022-0036
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author Robert H. Fraser
Sylvain G. Leblanc
Christian Prevost
Jurjen van der Sluijs
author_facet Robert H. Fraser
Sylvain G. Leblanc
Christian Prevost
Jurjen van der Sluijs
author_sort Robert H. Fraser
collection DOAJ
description Measuring ground elevation changes plays a crucial role in several environmental applications. For instance, permafrost soils undergo seasonal active layer freezing and thawing that causes cyclic elevation changes. Permafrost thaw can result in unidirectional ground subsidence, which may be gradual and uniform, or rapid and irregular in the case of thermokarst landforms such as slumps and degrading ice-wedges. Photogrammetric drone surveys have effectively characterized large (> 0.1 m) ground elevation changes resulting from thermokarst, yet many permafrost processes of interest lead to more subtle elevation changes. In this study, we assessed various drone-based surveying strategies for their precision to measure smaller (< 0.1 m) ground elevation changes to better characterize permafrost-driven surface dynamics. The strategies were compared by examining the short-term reproducibility of modeled elevation for 76 bare ground targets, derived from six repeat drone surveys captured under variable illumination. We found that the Phantom 4 RTK drone using direct georeferencing, combined with one fixed ground control point, could reproduce elevations with a mean absolute deviation of 0.6 cm, suggesting a minimum level of change detection of 1.4 cm at 95% confidence. Drone-based methods for measuring permafrost elevation changes should be complementary to in situ and satellite-based (e.g. differential interferometric Synthetic Aperture Radar) approaches.
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spelling doaj.art-6a101294f95049418b26c60cbc73bdf72023-09-03T08:03:53ZengCanadian Science PublishingDrone Systems and Applications2564-49392022-01-0110140642610.1139/dsa-2022-0036Towards precise drone-based measurement of elevation change in permafrost terrain experiencing thaw and thermokarstRobert H. Fraser0Sylvain G. Leblanc1Christian Prevost2Jurjen van der Sluijs3Canada Centre for Mapping and Earth Observation, Natural Resources Canada, Ottawa, ON K1A 0E4, Canada.Canada Centre for Mapping and Earth Observation, Natural Resources Canada, Ottawa, ON K1A 0E4, Canada.Canada Centre for Mapping and Earth Observation, Natural Resources Canada, Ottawa, ON K1A 0E4, Canada.NWT Centre for Geomatics, Government of Northwest Territories, Yellowknife, NT X1A 2L9, Canada.Measuring ground elevation changes plays a crucial role in several environmental applications. For instance, permafrost soils undergo seasonal active layer freezing and thawing that causes cyclic elevation changes. Permafrost thaw can result in unidirectional ground subsidence, which may be gradual and uniform, or rapid and irregular in the case of thermokarst landforms such as slumps and degrading ice-wedges. Photogrammetric drone surveys have effectively characterized large (> 0.1 m) ground elevation changes resulting from thermokarst, yet many permafrost processes of interest lead to more subtle elevation changes. In this study, we assessed various drone-based surveying strategies for their precision to measure smaller (< 0.1 m) ground elevation changes to better characterize permafrost-driven surface dynamics. The strategies were compared by examining the short-term reproducibility of modeled elevation for 76 bare ground targets, derived from six repeat drone surveys captured under variable illumination. We found that the Phantom 4 RTK drone using direct georeferencing, combined with one fixed ground control point, could reproduce elevations with a mean absolute deviation of 0.6 cm, suggesting a minimum level of change detection of 1.4 cm at 95% confidence. Drone-based methods for measuring permafrost elevation changes should be complementary to in situ and satellite-based (e.g. differential interferometric Synthetic Aperture Radar) approaches.https://cdnsciencepub.com/doi/10.1139/dsa-2022-0036droneUAVelevationpermafrostthermokarstsubsidence
spellingShingle Robert H. Fraser
Sylvain G. Leblanc
Christian Prevost
Jurjen van der Sluijs
Towards precise drone-based measurement of elevation change in permafrost terrain experiencing thaw and thermokarst
Drone Systems and Applications
drone
UAV
elevation
permafrost
thermokarst
subsidence
title Towards precise drone-based measurement of elevation change in permafrost terrain experiencing thaw and thermokarst
title_full Towards precise drone-based measurement of elevation change in permafrost terrain experiencing thaw and thermokarst
title_fullStr Towards precise drone-based measurement of elevation change in permafrost terrain experiencing thaw and thermokarst
title_full_unstemmed Towards precise drone-based measurement of elevation change in permafrost terrain experiencing thaw and thermokarst
title_short Towards precise drone-based measurement of elevation change in permafrost terrain experiencing thaw and thermokarst
title_sort towards precise drone based measurement of elevation change in permafrost terrain experiencing thaw and thermokarst
topic drone
UAV
elevation
permafrost
thermokarst
subsidence
url https://cdnsciencepub.com/doi/10.1139/dsa-2022-0036
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