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Unmanned aerial vehicle‐based mapping of turf‐banked solifluction lobe movement and its relation to material, geomorphometric, thermal and vegetation properties

Eichel, Jana; Draebing, Daniel; Kattenborn, Teja; Senn, Johannes Antenor; Klingbeil, Lasse; Wieland, Markus; Heinz, Erik

Solifluction is one of the most widespread periglacial processes with low annual movement rates in the range of $^{-}$ millimeters to centimeters. Traditional methods to assess solifluction movement usually have low spatial resolution, which hampers our understanding of spatial movement patterns and the factors controlling them. In this study, we (a) test the applicability of unmanned aerial vehicle (UAV)-based structurefrom-motion photogrammetry in comparison to a traditional total station survey tomap surface movement of a turf-banked solifluction lobe (TBL) in the Turtmann Valley (Switzerland). We then (b) relate the detected movement patterns to potential geomorphometric, material, thermal and vegetation controls, which we assessed using geomorphic and vegetation mapping, electrical resistivity surveys and temperature loggers. Our results show that (a) UAV-based mapping can detect solifluction movement with high spatial resolution (one point per m$^{2}$, total > 900 points) and rates and patterns consistent with a total station survey, but requires careful measurement set-up and analysis; and (b) movement rates differ between lobe tread, riser and a ridge feature. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000117695
Veröffentlicht am 24.08.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1045-6740, 1099-1530
KITopen-ID: 1000117695
Erschienen in Permafrost and periglacial processes
Band 31
Heft 1
Seiten 97–109
Vorab online veröffentlicht am 21.02.2020
Schlagwörter biogeomorphology, electrical resistivity tomography, periglacial processes, photogrammetry, solifluction, UAV
Nachgewiesen in Web of Science
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