Multi-temporal analysis of space-borne radar images through Persistent Scatterer Interferometry (PSI) is exploited for detecting and mapping slope instability at basin scale in the south-western part of the province of Messina, hit by the intense storm events on October 1st 2009. Available PSI data provide estimates of yearly deformation velocity, referred to both historical (1992–2001; ERS images) and recent (2003–2009; ENVISAT images) scenarios. PSI techniques have recently demonstrated their suitability for the analysis of extremely to very slow moving landslides, and their complementarity with field campaigns, at both regional and local scales, allowing spatial and temporal characterization of the detected phenomena. Coupling and integrating deformation measurements extracted by means of SqueeSAR technique, thematic maps and optical data enabled to identify 26 sites (hotspot mapping), characterized by high hydro-geological hazard related to the occurrence of pre-event, extremely to very slow moving landslides.

Landslide mapping using SqueeSAR data: Giampilieri (Italy) case study / Raspini F.; Moretti S.; Casagli N.. - STAMPA. - (2013), pp. 147-154. [10.1007/978-3-642-31325-7_19]

Landslide mapping using SqueeSAR data: Giampilieri (Italy) case study

RASPINI, FEDERICO;MORETTI, SANDRO;CASAGLI, NICOLA
2013

Abstract

Multi-temporal analysis of space-borne radar images through Persistent Scatterer Interferometry (PSI) is exploited for detecting and mapping slope instability at basin scale in the south-western part of the province of Messina, hit by the intense storm events on October 1st 2009. Available PSI data provide estimates of yearly deformation velocity, referred to both historical (1992–2001; ERS images) and recent (2003–2009; ENVISAT images) scenarios. PSI techniques have recently demonstrated their suitability for the analysis of extremely to very slow moving landslides, and their complementarity with field campaigns, at both regional and local scales, allowing spatial and temporal characterization of the detected phenomena. Coupling and integrating deformation measurements extracted by means of SqueeSAR technique, thematic maps and optical data enabled to identify 26 sites (hotspot mapping), characterized by high hydro-geological hazard related to the occurrence of pre-event, extremely to very slow moving landslides.
2013
9783642313240
9783642313257
Landslide Science and Practice - Volume 1: Landslide Inventory and Susceptibility and Hazard Zoning
147
154
Raspini F.; Moretti S.; Casagli N.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/879329
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