Enhanced landslide investigations through advanced DInSAR techniques: The Ivancich case study, Assisi, Italy

Autor: Riccardo Lanari, Fausto Guzzetti, Pietro Tizzani, Michele Manunta, Piernicola Lollino, Maceo-Giovanni Angeli, Fabrizio Pontoni, Raffaele Castaldo, Fabiana Calò, Francesca Ardizzone
Rok vydání: 2014
Předmět:
Zdroj: Remote sensing of environment 142 (2014): 69–82. doi:10.1016/j.rse.2013.11.003
info:cnr-pdr/source/autori:Fabiana Calò, Francesca Ardizzone, Raffaele Castaldo, Piernicola Lollino, Pietro Tizzani, Fausto Guzzetti, Riccardo Lanari, Maceo-Giovanni Angeli, Fabrizio Pontoni, Michele Manunta/titolo:Enhanced landslide investigations through advanced DInSAR techniques: The Ivancich case study, Assisi, Italy/doi:10.1016%2Fj.rse.2013.11.003/rivista:Remote sensing of environment/anno:2014/pagina_da:69/pagina_a:82/intervallo_pagine:69–82/volume:142
ISSN: 0034-4257
DOI: 10.1016/j.rse.2013.11.003
Popis: We extensively exploit advanced Differential SAR Interferometry (DInSAR) techniques for enhanced landslide investigations. We focus on the Ivancich area, Assisi, Central Italy, which is affected by a deep-seated landslide investigated through in-situ surveys. For this area, large data sets of SAR acquisitions were collected by the C-band ERS-1/2 and ENVISAT sensors (from April 1992 to November 2010), and by the X-band radars of the COSMO-SkyMed (CSK) constellation (from December 2009 to February 2012). We concentrate on the advanced DInSAR technique referred to as Small BAseline Subset (SBAS) approach, benefiting of its capability to generate deformation time series at full spatial resolution and from multi-sensor SAR data. This allows us to present one of the first examples for a landslide area of ERS-1/2 — ENVISAT deformation time series exceeding 18 years. The results allowed characterizing the long-term behaviour of the landslide, and identifying sectors of the unstable slope affected by different deformation dynamics. Analysis of the CSK data set, characterized by a reduced revisit time and improved spatial resolution, resulted in a 15-time larger point density with respect to the ERS-ENVISAT measurements, allowing to investigate nearly all the buildings (and, in many cases, portions of buildings) in the landslide area. Lastly, we present an innovative modelling approach based on the effective integration of the DInSAR measurements with traditional geological and geotechnical information, providing deeper insights on the kinematical evolution of the landslide. We consider our analysis a prototype example that can be extended to different geological and geotechnical conditions, providing significant advances in the understanding of ground deformations induced by active landslides.
Databáze: OpenAIRE
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