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Brief communication: landslide motion from cross correlation of UAV-derived morphological attributes

Peppa, Maria V.; Mills, Jon P.; Moore, Phil; Miller, Pauline E.; Chambers, Jonathan E.. 2017 Brief communication: landslide motion from cross correlation of UAV-derived morphological attributes. Natural Hazards and Earth System Sciences, 17 (12). 2143-2150. https://doi.org/10.5194/nhess-17-2143-2017

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Abstract/Summary

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.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.5194/nhess-17-2143-2017
ISSN: 1684-9981
Date made live: 22 Dec 2017 14:13 +0 (UTC)
URI: http://nora.nerc.ac.uk/id/eprint/518828

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