1. Integration of multi-sensor MTInSAR and ground-based geomatic data for the analysis of non-linear displacements affecting the urban area of Chieuti, Italy
- Author
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Alberico Sonnessa, Annamaria di Lernia, Davide Oscar Nitti, Raffaele Nutricato, Eufemia Tarantino, and Federica Cotecchia
- Subjects
Non-linear instability phenomena ,Multi-sensor MTInSAR ,COSMO-SkyMed ,Sentinel-1 ,Non-linear displacement trend reliability assessment ,Geomatic monitoring techniques ,Physical geography ,GB3-5030 ,Environmental sciences ,GE1-350 - Abstract
Slow instability phenomena can turn into rapid events, showing sudden accelerations and potentially developing in a threat for structures and people. In such scenarios, an in-depth understanding of the spatial and temporal evolution of the ground surface displacement field becomes essential for preventing potential catastrophes. In this work, Multi-Temporal Interferometry SAR (MTInSAR) technique based on COSMO-SkyMed and Sentinel-1 SAR acquisitions and ground measurements have been used to study an ongoing instability occurrence, affecting the urban area of Chieuti, a town located in the Southern Italy. Archives of C and X-band SAR data and geomatic monitoring observations spanning seven, five and one year, respectively, have been analyzed exploiting the complementary characteristics of these datasets. This enabled the accurate spatial-temporal characterization of the ground displacement field in the study area, the identification of sectors evidencing instability problems and a comprehensive reliability assessment of the detected displacements trends, characterized by strong non-linearities. Moreover, the multi-geometry DInSAR analysis allowed to evaluate the horizontal and vertical components of the detected motion, confirming the nature of the instability process, related to a deep landslide mechanism affecting the western slope of the town.
- Published
- 2023
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