Journal
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
Volume 17, Issue 12, Pages 2143-2150Publisher
COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/nhess-17-2143-2017
Keywords
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Funding
- Natural Environment Research Council (NERC) BGS BUFI award at Newcastle University, UK [S241]
- Engineering and Physical Sciences Research Council (EPSRC) DTA award at Newcastle University, UK [EP/L504828/1]
- Engineering and Physical Sciences Research Council [1366586] Funding Source: researchfish
- Natural Environment Research Council [bgs05200] Funding Source: researchfish
- NERC [bgs05200] Funding Source: UKRI
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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.
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