Landslide monitoring using multitemporal terrestrial laser scanning for ground displacement analysis

Abstract

In the analysis of the temporal evolution of landslides and of related hydrogeological hazards, Terrestrial Laser Scanning seems to be a very suitable technique for morphological description and displacement analysis. In this note we present some procedures designed to solve specific issues related to monitoring. A particular attention has been devoted to data georeferencing, both during survey campaigns and while performing statistical data analysis. The proper interpolation algorithm for DEM generation has been chosen taking into account the features of the landslide morphology and of the acquired datasets. For a detailed analysis of the different dinamics of the hillslope, we identified some areas with homogeneous behaviour applying in a GIS environment a sort of rough segmentation to the grid obtained differentiating two surfaces. This approach has allowed a clear identification of ground deformations, obtaining detailed quantitative information on surficial displacements. These procedures have been applied to a case study on a large landslide of about 10 hectares, located in Italy, which recently has severely damaged the national railway line. Landslide displacements have been monitored with TLS surveying for three years, from February 2010 to June 2012. Here we report the comparison results between the first and the last survey

A LiDAR application for the study of taxiway surface evenness and slope

“…The surface roughness simplifies the choice, however it is possible to select between different methods (Inverse distance to a power, Kriging, Radial Basis Function, etc.). In order to establish the final result we used the same approach we adopted in a different setting (Barbarella et al, 2013), i.e. we extracted a sub-sample of point clouds (1%) and we built a DEM, utilizing a number of algorithms, and we evaluated statistical parameters, related to the variance of the sub-sample compared with the DEM in the same planimetric position.…”

Preface to the special issue: the role of geomatics in hydrogeological risk

“…Practically, most modern technologies of geomatic surveying are touched upon in this special issue, i.e. photogrammetry (Borgogno Mondino 2014;Scaioni et al 2014), structure from motion (Forlani et al 2013), optical remote sensing (Franci et al 2014), laser scanning (Barbarella et al 2013), global navigation satellite systems (GNSS) (Cina & Piras 2014), synthetic aperture radar (SAR) (Frangioni et al 2014;Nascetti et al 2014;Vittuari et al 2014) and geographic information systems (GISs) as decision support using advanced models (Cencetti et al 2014;Federici et al 2014). A digital terrain model (DTM) is fundamental to successive analysis; Casella and Franzini (2014) have taken the vertical information and investigated, respectively, on high-resolution DTM accuracy and the dynamic aspect (movement) of the vertical component of the vertical component of the DTMs.…”

Assessment of DEM derived from very high-resolution stereo satellite imagery for geomorphometric analysis

“…Figure 1 shows a mountain area (A), a hilly area (B) and a flat area (C). Area (D) is of special geomorphological interest as it is affected by an important active landslide compound system (Barbarella, Fiani, & Lugli, 2015;De Vita et al, 2013).…”