4D monitoring of active landslides by multi-temporal airborne LiDAR data

3Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We present results of a multi-temporal analysis of airborne LiDAR data collected between 2006 and 2010 on the 3 km long active Montaguto landslide (Italy). Digital Terrain Models are constructed from data acquired on May 2006, July 2009, April 2010 and June 2010. The spatial distribution of selected morphometric parameters and the statistical analysis of the temporal variations of such parameters allow us to reconstruct the evolution of the landslide. We recognize zones of uplift and subsidence, estimate the volumes of removed or accumulated material, and determine the average rate of vertical and horizontal displacement. We also map the deformations structures and provide new insights on the sliding mechanisms. Zones in which the topographic features change due to handling/removal work are also analyzed. The approach proposed here provides new insight on the use of airborne LiDAR in the surveillance strategies of landslides and other gravity-controlled processes. © Springer-Verlag Berlin Heidelberg 2013.

Cite

CITATION STYLE

APA

Ventura, G., Vilardo, G., Terranova, C., & Sessa, E. B. (2013). 4D monitoring of active landslides by multi-temporal airborne LiDAR data. In Landslide Science and Practice: Early Warning, Instrumentation and Monitoring (Vol. 2, pp. 147–151). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-642-31445-2_19

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free