Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/7563
Authors: Bonforte, A.* 
Aloisi, M.* 
Antonello, G.* 
Casagli, N.* 
Fortuny-Guash, J.* 
Guerri, L.* 
Nunnari, G.* 
Puglisi, G.* 
Spata, A.* 
Tarchi, D.* 
Editors: Calvari, S 
Inguaggiato, S 
Puglisi, G. 
Ripepe, M. 
Rosi, M. 
Title: Movements of the Sciara del Fuoco
Issue Date: 2008
ISBN: 978-0-87590-447-4
Keywords: Flank instability
Slope failure
Terrestrial geodesy
Ground Based InSAR
Continuous GPS
Landslide monitoring
Subject Classification04. Solid Earth::04.03. Geodesy::04.03.06. Measurements and monitoring 
04. Solid Earth::04.03. Geodesy::04.03.07. Satellite geodesy 
04. Solid Earth::04.03. Geodesy::04.03.09. Instruments and techniques 
04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring 
04. Solid Earth::04.08. Volcanology::04.08.08. Volcanic risk 
Abstract: The Sciara del Fuoco (SdF) landslides that occurred at the end of December 2002 prompted researchers to install geodetic networks to monitor deformations related to potential new slope failures. With this aim, an integrated multiparametric monitoring system was designed and deployed. In particular, this complex monitoring system is composed of four single systems: an electronic distance measurement network, installed immediately after the landslide events, a realtime GPS network, a ground-based interferometric linear synthetic aperture radar (GB-InSAR), and an automated topographic monitoring system (named Theodolite Robotic Observatory of Stromboli, or THEODOROS); the three last systems provided a continuous monitoring of selected points or sectors of the SdF. Data acquired from different systems have been jointly analyzed to reach a better understanding of the SdF dynamics. Displacement data obtained from the topographic systems are compared with those obtained from GB-InSAR, and the results of the comparison are analyzed and discussed. Furthermore, in this chapter, an example of a warning system that can detect slope instability precursors on the SdF based on a statistical analysis of the data collected by the THEODOROS system is reported.
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