Title of article
Analysis of building deformation in landslide area using multisensor PSInSAR™ technique
Author/Authors
Ciampalini، نويسنده , , Andrea and Bardi، نويسنده , , Federica and Bianchini، نويسنده , , Silvia and Frodella، نويسنده , , William and Del Ventisette، نويسنده , , Chiara and Moretti، نويسنده , , Sandro and Casagli، نويسنده , , Nicola، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2014
Pages
15
From page
166
To page
180
Abstract
Buildings are sensitive to movements caused by ground deformation. The mapping both of spatial and temporal distribution, and of the degree of building damages represents a useful tool in order to understand the landslide evolution, magnitude and stress distribution. The high spatial resolution of space-borne SAR interferometry can be used to monitor displacements related to building deformations. In particular, PSInSAR technique is used to map and monitor ground deformation with millimeter accuracy. The usefulness of the above mentioned methods was evaluated in San Fratello municipality (Sicily, Italy), which was historically affected by landslides: the most recent one occurred on 14th February 2010. PSInSAR data collected by ERS 1/2, ENVISAT, RADARSAT-1 were used to study the building deformation velocities before the 2010 landslide. The X-band sensors COSMO-SkyMed and TerraSAR-X were used in order to monitor the building deformation after this event. During 2013, after accurate field inspection on buildings and structures, damage assessment map of San Fratello were created and then compared to the building deformation velocity maps. The most interesting results were obtained by the comparison between the building deformation velocity map obtained through COSMO-SkyMed and the damage assessment map. This approach can be profitably used by local and Civil Protection Authorities to manage the post-event phase and evaluate the residual risks.
Keywords
PSInSAR , Radar , Buildings , Damages , Landslide
Journal title
International Journal of Applied Earth Observation and Geoinformation
Serial Year
2014
Journal title
International Journal of Applied Earth Observation and Geoinformation
Record number
2379703
Link To Document