Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Nat. Hazards Earth Syst. Sci., 17, 2143-2150, 2017
https://doi.org/10.5194/nhess-17-2143-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Brief communication
04 Dec 2017
Brief communication: Landslide motion from cross correlation of UAV-derived morphological attributes
Maria V. Peppa1, Jon P. Mills1, Phil Moore1, Pauline E. Miller2, and Jonathan E. Chambers3 1School of Engineering, Newcastle University, Newcastle upon Tyne, UK
2The James Hutton Institute, Aberdeen, UK
3British Geological Survey, Keyworth Nottingham, UK
Abstract. Unmanned aerial vehicles (UAVs) can provide observations of high spatio-temporal resolution to enable operational landslide monitoring. In this research, the construction of digital elevation models (DEMs) and orthomosaics from UAV imagery is achieved using structure-from-motion (SfM) photogrammetric procedures. The study examines the additional value that the morphological attribute of openness, amongst others, can provide to surface deformation analysis. Image-cross-correlation functions and DEM subtraction techniques are applied to the SfM outputs. Through the proposed integrated analysis, the automated quantification of a landslide's motion over time is demonstrated, with implications for the wider interpretation of landslide kinematics via UAV surveys.

Citation: Peppa, M. V., Mills, J. P., Moore, P., Miller, P. E., and Chambers, J. E.: Brief communication: Landslide motion from cross correlation of UAV-derived morphological attributes, Nat. Hazards Earth Syst. Sci., 17, 2143-2150, https://doi.org/10.5194/nhess-17-2143-2017, 2017.
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Short summary
Unmanned aerial vehicles can provide digital elevation models and orthomosaics of high spatio-temporal resolution to enable landslide monitoring. The study examines the additional value that morphological attribute of openness can provide to surface deformation combining with image-cross-correlation functions alongside DEM differencing. The paper demonstrates the automated quantification of a landslide's motion over time with implications for the wider interpretation of landslide kinematics.
Unmanned aerial vehicles can provide digital elevation models and orthomosaics of high...
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