| dc.description.abstract | The slow-moving landslides, being able to develop in different geological contexts, yearly induce
huge damages on structures and/or infrastructures interacting with them with consequent losses of
economic nature. For this reason, studies aimed at analysing landslides and predicting the
aforementioned damages are of great interest for Scientific Community and Authorities in charge of
identifying the most suitable strategies for management and the land-use planning of urban areas
affected by slow-moving landslides. Obviously, the carrying out of activities related to the pursuit of
those objectives requires very high costs linked to the large amount of information to be acquired for
the generation of landslides analysis models. In addition, the reconnaissance, mapping and analysis
of kinematic features of slow-moving landslides evolving along medium-deep sliding surfaces in
urban areas can be a difficult task due to the presence and interactions of/with anthropic structures/
infrastructures and human activities that can conceal morphological signs of landslide activity. In this
PhD thesis an original methodology is proposed for the kinematic characterization of slow-moving
landslides in urban areas. In particular, the proposed empirical procedure is based on the full
integration of conventional monitoring data (such as on-site tests and damage severity surveys) and
DInSAR remote sensing data (deriving from the processing of images acquired by synthetic aperture
radars installed on satellite platforms using differential interferometry techniques). This procedure
was developed with reference to the case study of the historic center of Lungro (Calabria, Southern
Italy). The analyzes were carried out exclusively at a detailed scale (on the single landslide) with a
multi-scalar approach. The results obtained highlight the potential of the proposed methodology
which, thanks to a full integration of the monitoring data, allows the development of an advanced
geotechnical-structural modelling useful for territorial planning and the management of urban areas
affected by slow-moving landslides. [edited bu Author] | it_IT |
