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Monitoring the crisis of a rock glacier with repeated UAV surveys

Bibliographic Data

ID2645043
AuthorsSebastián Vivero (0000-0002-1813-9575), Christophe Lambiel
Year2019
Volume74
Issue1
Pages59-69
Publication date2019-02-15
Open AccessYes
TypeARTICLE
VenueGeographica Helvetica (JOURNAL)
Journal identifiersISSN: 0016-7312 • E-ISSN: 2194-8798
PublisherCopernicus GmbH (PUBLISHER • DE)
DOI10.5194/gh-74-59-2019
OpenAlexW2914832712
LanguageEN
Citations received1
References cited55

In this study, rapid topographic changes and high creeping rates caused by the destabilisation of an active rock glacier in a steep mountain flank were investigated in detail with five unmanned aerial vehicle (UAV) surveys between June 2016 and September 2017. State-of-the-art photogrammetric techniques were employed to derived high-density point clouds and high-resolution orthophoto mosaics from the studied landform. The accuracy of the co-registration of subsequent point clouds was carefully examined and adjusted based on comparing stable areas outside the rock glacier, which minimised 3-D alignment errors to a mean of 0.12 m. Elevation and volumetric changes in the destabilised rock glacier were quantified over the study period. Surface kinematics were estimated with a combination of image correlation algorithms and visual inspection of the orthophoto mosaics. Between June 2016 and September 2017, the destabilised part of the rock glacier advanced up to 60-75 m and mobilised a volume of around 27 000 m3 of material which was dumped over the lower talus slope. This study has demonstrated a robust and customisable monitoring approach that allows a detailed study of rock glacier geometric changes during a crisis phase

Elevation (ballistics · Geodesy · Geography · Geometry · Geomorphology · Glacier · Landform · Landslide · Orthophoto · Photogrammetry · Physical geography · Point cloud · Remote sensing · Rock glacier · Rockfall · 3D Surveying and Cultural Heritage · Climate change and permafrost · Computer Science · Cryospheric studies and observations · Artificial Intelligence · Geology

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  • Introduction

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Citations per year0.17
Citation span2020 - 2020 (1)
Highly citedNo

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