Title :
Landslide analysis through the multi-sensor SBAS-DInSAR approach: The case study of Assisi, Central Italy
Author :
Calo, F. ; Ardizzone, F. ; Castaldo, R. ; Lollino, P. ; Tizzani, P. ; Guzzetti, F. ; Lanari, R. ; Manunta, M.
Author_Institution :
IREA, Naples, Italy
Abstract :
We exploit advanced Differential SAR Interferometry (DInSAR) techniques for enhanced analyses of slope instability phenomena. In particular, we focus on the Ivancich urban area, in the worldwide known historic town of Assisi, Central Italy, affected by a deep-seated, slow moving active landslide for which geological and geotechnical data are also available. Furthermore over the landslide site, large datasets of SAR acquisitions collected in the last two decades by the C-band ERS-1/2 and ENVISAT SAR sensors, and by the X-band radars of the COSMO-SkyMed constellation are available. In our study, we applied the advanced DInSAR technique referred to as Small BAseline Subset (SBAS), benefiting from its ability to generate deformation time series at full spatial resolution from multi-sensor SAR data, that allowed us to characterize the temporal and spatial pattern of ground deformations induced by the landslide. Furthermore, we experimented an innovative approach for landslide modeling, based on the integration of DInSAR measurements with conventional geological and geotechnical data used in landslide studies.
Keywords :
geomorphology; radar interferometry; remote sensing by radar; synthetic aperture radar; Assisi; C-band ERS-1 SAR sensor; C-band ERS-2 SAR sensor; COSMO-SkyMed constellation X-band radars; ENVISAT SAR sensor; Ivancich urban area; SAR acquisitions; SBAS DInSAR measurements; SBAS-DInSAR multisensor approach; advanced DInSAR techniques; central Italy; deep seated active landslide; differential SAR interferometry; geological data; geotechnical data; landslide analysis; slope instability phenomena; slow moving active landslide; small baseline subset DInSAR measurements; Geology; Interferometry; Sensor phenomena and characterization; Spatial resolution; Synthetic aperture radar; Terrain factors; Assisi; DInSAR; FEM modeling; Italy; SBAS; landslides;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723435