Title
Time series analysis of landslide dynamics using an Unmanned Aerial Vehicle (UAV)
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 m(3). 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.
Year
DOI
Venue
2015
10.3390/rs70201736
REMOTE SENSING
Keywords
Field
DocType
landslide
Structure from motion,Time series,Digital surface,Vertical direction,Remote sensing,Digital image correlation,Landslide,Geology,Leading edge
Journal
Volume
Issue
Citations 
7
2
3
PageRank 
References 
Authors
0.52
6
3
Name
Order
Citations
PageRank
Darren Turner121718.97
Arko Lucieer245546.51
Steven De Jong310512.26