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Post-failure evolution analysis of a rainfall-triggered landslide bymulti-temporal interferometry SAR approaches integrated withgeotechnical analysis

Pierluigi Confuorto1, Diego Di Martire1, Giuseppe Centolanza2, Ruben Iglesias2, Jordi J. Mallorqui2, Alessandro Novellino3, Simon Plank4, Massimo Ramondini5, Kurosch Thuro6, Domenico Calcaterra1

 
1Dipartimento di Scienze della Terra, dell’Ambiente e delle Risorse, Università degli Studi di Napoli Federico II, Largo San Marcellino 10, 80138 Napoli, Italy
2Remote Sensing Laboratory (RSLab), Department of Signal Theory and Communications, Universitat Politecnica de Catalunya, c/Jordi Girona 1-3, Ed. D-3, 08304 Barcelona, Spain
3Geomatic Ventures Ltd, Nottingham, UK, University of Nottingham, Nottingham Geospatial Building, Triumph Road, Nottingham, East Midlands, UK
4German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Münchener Straβe 20, 82234 Weβling, Germany
5Dipartimento di Ingegneria Civile, Architettonica ed Ambientale, Università degli Studi di Napoli Federico II, Via Claudio 21, 80125, Napoli, Italy
6Technische Universität München (TUM), Arcistraβe 2, 80333 Munich, Germany
 
Remote Sensing of Environment, 188, 51-72, 2017
 
Abstract
Persistent Scatterers Interferometry (PSI) represents one of the most powerful techniques for Earth's surface deformation processes' monitoring, especially for long-term evolution phenomena. In this work, a dataset of 34 TerraSAR-X StripMap images (October 2013–October 2014) has been processed by two PSI techniques - Coherent Pixel Technique-Temporal Sublook Coherence (CPT-TSC) and Small Baseline Subset (SBAS) - in order to study the evolution of a slow-moving landslide which occurred on February 23, 2012 in the Papanice hamlet (Crotone municipality, southern Italy) and induced by a significant rainfall event (185 mm in three days). The mass movement caused structural damage (buildings' collapse), and destruction of utility lines (gas, water and electricity) and roads. The results showed analogous displacement rates (30–40 mm/yr along the Line of Sight – LOS-of the satellite) with respect to the pre-failure phase (2008–2010) analyzed in previous works. Both approaches allowed detect the landslide-affected area, however the higher density of targets identified by means of CPT-TSC enabled to analyze in detail the slope behavior in order to design possible mitigation interventions. For this aim, a slope stability analysis has been carried out, considering the comparison between groundwater oscillations and time-series of displacement. Hence, the crucial role of the interaction between rainfall and groundwater level has been inferred for the landslide triggering. In conclusion, we showed that the integration of geotechnical and remote sensing approaches can be seen as the best practice to support stakeholders to design remedial works.
 
Key-words: Persistent Scatterers Interferometry; SAR; Coherent Pixel Technique-Temporal Sublook Coherence; Small Baseline Subset; Landslide; Crotone province; Slope stability analysis