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Remote Sens. 2015, 7(2), 1736-1757; doi:10.3390/rs70201736

Time Series Analysis of Landslide Dynamics Using an Unmanned Aerial Vehicle (UAV)

1
School of Land and Food, University of Tasmania, Hobart, TAS 7001, Australia
2
Department of Physical Geography, Utrecht University, P.O. Box 80115, Utrecht 3508 TC, The Netherlands
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Richard Gloaguen and Prasad S. Thenkabail
Received: 4 December 2014 / Revised: 19 January 2015 / Accepted: 27 January 2015 / Published: 5 February 2015
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Abstract

In this study, we used an Unmanned Aerial Vehicle (UAV) to collect a time series of high-resolution images over four years at seven epochs to assess landslide dynamics. Structure from Motion (SfM) was applied to create Digital Surface Models (DSMs) of the landslide surface with an accuracy of 4–5 cm in the horizontal and 3–4 cm in the vertical direction. The accuracy of the co-registration of subsequent DSMs was checked and corrected based on comparing non-active areas of the landslide, which minimized alignment errors to a mean of 0.07 m. Variables such as landslide area and the leading edge slope were measured and temporal patterns were discovered. Volumetric changes of particular areas of the landslide were measured over the time series. Surface movement of the landslide was tracked and quantified with the COSI-Corr image correlation algorithm but without ground validation. Historical aerial photographs were used to create a baseline DSM, and the total displacement of the landslide was found to be approximately 6630 m3. This study has demonstrated a robust and repeatable algorithm that allows a landslide’s dynamics to be mapped and monitored with a UAV over a relatively long time series. View Full-Text
Keywords: landslide; UAV; Cosi-corr; digital elevation model (DEM) landslide; UAV; Cosi-corr; digital elevation model (DEM)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Turner, D.; Lucieer, A.; de Jong, S.M. Time Series Analysis of Landslide Dynamics Using an Unmanned Aerial Vehicle (UAV). Remote Sens. 2015, 7, 1736-1757.

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