Some Tools to Support Teaching Photogrammetry for Slope Stability Assessment and Monitoring

Abstract

<p><strong>Abstract.</strong> This paper describes the use of some tool to help training of photogrammetry for applications in the field of landslide and slope stability assessment and monitoring. These tools have been used in classes of the MSc on Civil Eng. for Risk Mitigation at Politecnico di Milano university, Lecco (Italy). The first tools are hardware facilities. The first one consists of a ‘Landslide Simulator,’ where shallow landslides may be reproduced at small scale. Simulations are also used here for active-learning purpose. In particular, here the use of digital images to obtain multi-temporal information is presented. The second tool is a ‘Rock face 3D Modelling Simulator.’ This is used by students to learn how a photogrammetric block should be designed in order to reconstruct rock slopes using Structure-from-Motion photogrammetry. The last to tools are software packages (CloudCompare and LIME) devoted to point cloud analysis (including change detection/ deformation analysis) and advanced visualization, respectively. The combination of these tools together with datasets from either lab and the real field, has been successfully tested to provide efficient training to students in an active-learning fashion.</p>

Investigation on the Role of Water for the Stability of Shallow Landslides—Insights from Experimental Tests

“…The volumetric water content measured by the probe is an average value estimated along the probe length (15 cm). Action cameras were installed on the frame of the simulator [25], in order to document ongoing processes. Images were taken at 2s intervals in order to identify swiftly developing failure processes during the experiment.…”

“…Low intensity rainfall was simulated by using four out of the six sprinklers (experiment M, the first 10 minutes of experiments N, O, P, Q, R), while the higher intensity precipitation involved all of the sprinklers. The hydraulic conductivity of the soil sample was calculated for each of the experiments as a function of its porosity and characteristic grain size, d 10 according to the Kozeny-Carman model [26]. A summary of the abovementioned parameters is proposed in Table 1, including the minimum, average and maximum values of rainfall intensity, total volume of water, porosity, volumetric water content, degree of saturation, inclination, hydraulic conductivity and duration until first failure.…”

An Overview of Geoinformatics State-of-the-Art Techniques for Landslide Monitoring and Mapping

“…The use of SAR allows to be exploited its signal propertiesamplitude (single and multi-polarisation) and phase, through change in the coherence or bitemporal interferometry (Mondini et al, 2021). Ground-based and aerial photogrammetry is also a widely used approach for mapping and further analysing landslides through geological means (Scaioni et al, 2018(Scaioni et al, , 2014.…”

Capacity Building for Disaster Management in Mozambique Through Teaching Public Participatory Gis and Spatial Data Infrastructure

“…The former three are general data collection mobile applications for variety of usage scenarios, while LandslideSurvey is specifically designed to map the location, type, material and other properties of already occurred mass movements ( Figure 5). Moreover the app is coupled with a QGIS plug-in which allows to retrieve the recorded entries from the mobile app, then used as an input information for landslide susceptibility mapping (Yordanov and Brovelli, 2020a,b) or can be used for field surveys (Scaioni et al, 2018). Such thematic crowdsourced mobile applications had already proved their valuable role in the education process (Anbaroglu et al, 2020) and in practice (Biagi et al, 2020;Biraghi et al, 2020;Carrion et al, 2020).…”