Time Series Analysis of Landslide Dynamics Using an Unmanned Aerial Vehicle (UAV)
By Darren Turner, Arko Lucieer, S. D. Jong. Remote Sensing, 2015
400 citations recorded by the source corpus.
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.
Subfields: Environmental Engineering, Geology, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/afc1ba3a9dd467a67a7a00bd49ca19152d1766c8
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Citations in the corpus
- Unmanned Aerial Vehicle for Remote Sensing Applications - A Review (2019, background): “Post-disaster assessment [143,144]; emergency responses [145]; fire surveillance [146]; landslide dynamic monitoring [147,148]; coastal vulnerability assessment [149,150] • Safer and lower-cost than in situ measurements; • Quick response; • Integrated sensor data bring more e ff ective interpretation.”
- High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing (2016, background): “For environmental monitoring, examples include modelling of the temporal changes in landslide dynamics [18]; 3D reconstruction of fluvial topography of UK streams [19]; monitoring of rangeland [20,21] and conservation applications such as surveying of habitats and animal numbers [22].”
- Structure from motion photogrammetry in physical geography (2016, background): “, 2014), landslide activity (Stumpf et al., 2015; Turner et al., 2015), glacier thinning (Immerzeel et al.”