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This work presents the results of some analyses carried out over medium-to-low coherent areas of the Southern Italy. Sequences of SAR data will be processed at different scales of resolution using the multi-temporal (Mt-InSAR) differential interferometry SBAS technique. In particular, the Enhanced SBAS processing chain recently proposed will be used with the aim to extend the spatial coverage of measurement points on the ground and improve performance of SBAS in areas with low SNR. The enhanced processing chain incorporates a space-time noise filtering method capable to obtain a set of optimized phases associated with single SAR images from sequences of time-redundant short baseline SAR interferograms. To extensively investigate the quality of the achieved results, we perform a spatially and temporally comparison between the modelled deformation field and those achieved by the InSAR measurements. Despite some geophysical parameters of ground surfaces are a-priori chosen, we will search for the unavailable sensitive parameters to minimize the difference between the observed and simulated field. This optimization procedure allows retrieving the best model parameters configuration to simulate the observed phenomenon. These activities are framed within the funded PRIN FRACTURES (Multiscale study of seismogenic processes in Campania-Lucania Apennines using machine learning algorithms and multiparametric observations) project.
Pepe et al. (Mon,) studied this question.