Articles | Volume 5, issue 4
https://doi.org/10.5194/esurf-5-791-2017
https://doi.org/10.5194/esurf-5-791-2017
Research article
 | 
05 Dec 2017
Research article |  | 05 Dec 2017

Unravelling earth flow dynamics with 3-D time series derived from UAV-SfM models

François Clapuyt, Veerle Vanacker, Fritz Schlunegger, and Kristof Van Oost

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by François Clapuyt on behalf of the Authors (13 Oct 2017)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (20 Oct 2017) by Anette Eltner
AR by François Clapuyt on behalf of the Authors (30 Oct 2017)  Manuscript 
ED: Publish as is (01 Nov 2017) by Anette Eltner
ED: Publish as is (01 Nov 2017) by Tom Coulthard (Editor)
AR by François Clapuyt on behalf of the Authors (02 Nov 2017)
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Short summary
This work aims at understanding the behaviour of an earth flow located in the Swiss Alps by reconstructing very accurately its topography over a 2-year period. Aerial photos taken from a drone, which are then processed using a computer vision algorithm, were used to derive the topographic datasets. Combination and careful interpretation of high-resolution topographic analyses reveal the internal mechanisms of the earthflow and its complex rotational structure, which is evolving over time.