Abstract
Abstract. The application of image processing and photogrammetric techniques to dynamic reconstruction of landslide simulations in a scaled-down facility is described. Simulations are also used here for active-learning purpose: students are helped understand how physical processes happen and which kinds of observations may be obtained from a sensor network. In particular, the use of digital images to obtain multi-temporal information is presented. On one side, using a multi-view sensor set up based on four synchronized GoPro 4 Black® cameras, a 4D (3D spatial position and time) reconstruction of the dynamic scene is obtained through the composition of several 3D models obtained from dense image matching. The final textured 4D model allows one to revisit in dynamic and interactive mode a completed experiment at any time. On the other side, a digital image correlation (DIC) technique has been used to track surface point displacements from the image sequence obtained from the camera in front of the simulation facility. While the 4D model may provide a qualitative description and documentation of the experiment running, DIC analysis output quantitative information such as local point displacements and velocities, to be related to physical processes and to other observations. All the hardware and software equipment adopted for the photogrammetric reconstruction has been based on low-cost and open-source solutions.
Highlights
Scaled-down facilities for landslide simulation have been largely developed for research purpose
A digital image correlation (DIC) technique has been used to track surface point displacements from the image sequence obtained from the camera in front of the simulation facility
From both the 4D model and the analysis of surface point displacements obtained from DIC, the landslide dynamic may be separated in three blocks that moved independently, as can be seen in Figure 4 on the right column
Summary
Scaled-down facilities for landslide simulation have been largely developed for research purpose (see a review in Scaioni et al, 2013) Besides this application domain, such platforms may be used as tools for active-learning in education environments (Rutzinger et al, 2016): students have the chance to set up a complete landslide simulation experiment as well as to see somehow the soil configuration (material, slope, compactness, moisture, etc.) and the triggering factor (i.e., artificially induced rainfall) may control the development of a slope failure. Geoelectrical monitoring (Supper et al, 2014) and a coherent fibre optic-based system (Ferrario et al, 2016) have been used
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