Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/13319
Authors: Vicari, Annamaria* 
Famiglietti, Nicola Angelo* 
Colangelo, Gerardo* 
Cecere, Gianpaolo* 
Title: A comparison of multi temporal interferometry techniques for landslide susceptibility assessment in urban area: an example on stigliano (MT), a town of Southern of Italy
Journal: Geomatics, Natural Hazards and Risk 
Series/Report no.: /10 (2019)
Issue Date: Jan-2019
DOI: 10.1080/19475705.2018.1549113
Abstract: In this work, Multi Temporal Interferometry techniques (MTI) based on advanced synthetic aperture radar differential interferometry (A-DInSAR) have been investigated for the monitoring of deformation phenomena in slow kinematics. A-DInSAR methodologies include both Coherence-based type, as well as Small Baseline Subset (SBAS) that Permanent Scatterers (PS). These techniques are capable to provide wide-area coverage and precise, spatially dense information on ground surface deformations. MTI techniques have been applied to the town of Stigliano (MT) in Basilicata Region (Southern Italy), where the social center building has been destroyed after the reactivation of a known landslide. A direct comparison of the results has been shown that PS and SBAS techniques are comparable in terms of obtained coherent areas and displacement patterns, with slightly different velocity values for individual points. In particular, PS furnished a range of velocity between −5/−25 mm/year, while for SBAS we found values around −5/−15 mm/year. Furthermore, on the crown of the landslide body, a Robotics Total Station measuring distance values on 24 points has been installed. The displacement values obtained are in agreement with the results of the MTI analysis, showing as these techniques could be a useful in the case of early-warning situations.
Appears in Collections:Article published / in press

Show full item record

WEB OF SCIENCETM
Citations

3
checked on Feb 10, 2021

Page view(s)

295
checked on Mar 27, 2024

Download(s)

65
checked on Mar 27, 2024

Google ScholarTM

Check

Altmetric