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Mass Wasting: An Overview Read chapter Read first chapter

2019 | OriginalPaper | Chapter

12. Integration of Terrestrial Laser Scanning and GIS Analysis for Multi-temporal Landslide Monitoring: A Case Study of the Mont de La Saxe (Aosta Valley, NW Italy)

Authors : Gianpiero Amanzio, Ashwani Kumar Tiwari, Muriel Lavy, Marina De Maio

Published in: Landslides: Theory, Practice and Modelling

Publisher: Springer International Publishing

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Abstract

In Italy, landslide phenomena and mass movements are very common, particularly along the Alps, the principal mountainous chains in the northern part of the country. In this study, we used a terrestrial laser scanner (TLS) to collect a multi-temporal dataset during 3 years (2012–2014) of observation, with the aim of accurately evaluating these phenomena in the Mont de la Saxe area (Aosta Valley region, Italy). Starting from the point clouds acquired with the TLS, we derived the digital surface models and we performed a multitemporal analysis in geographical information system (GIS) to identify the morphological features of the landslide and to delineate the displacement of the phenomena. The analysis allows quantifying the major elevation change occurred in the middle and the bottom side of landslide body during 2012–2014 with a high precision. The volume displaced in the second year (2013–2014) increased by 66% than the previous year (2012–2013), showing a progressive acceleration of the landslide phenomena. This result indicates that the volume estimation is crucial for planning future landslide emergency situations and to calibrate the early warning system, based on occurred phenomena.

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previous chapter Optimization Techniques in Slope Stability Analysis Methods
next chapter Machine Learning Techniques in Landslide Susceptibility Mapping: A Survey and a Case Study
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Metadata
Title
Integration of Terrestrial Laser Scanning and GIS Analysis for Multi-temporal Landslide Monitoring: A Case Study of the Mont de La Saxe (Aosta Valley, NW Italy)
Authors
Gianpiero Amanzio
Ashwani Kumar Tiwari
Muriel Lavy
Marina De Maio
Copyright Year
2019
Book
Landslides: Theory, Practice and Modelling

Print ISBN: 978-3-319-77376-6

Electronic ISBN: 978-3-319-77377-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-77377-3_12