Lookup NU author(s): Dr Maria-Valasia Peppa,
Professor Jon Mills,
Professor Philip Moore
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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 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.
Author(s): Peppa MV, Mills JP, Moore P, Miller PE, Chambers JE
Publication type: Article
Publication status: Published
Journal: Natural Hazards and Earth System Sciences
Online publication date: 04/12/2017
Acceptance date: 25/10/2017
ISSN (print): 1561-8633
ISSN (electronic): 1684-9981
Publisher: Copernicus GmbH
Data Source Location: http://dx.doi.org/10.17634/154300-58
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