This research examines the application of Interferometric Synthetic Aperture Radar (InSAR) from space for tracking and evaluating surface and structural changes in transport networks, particularly a 65 km stretch of the A16 highway in Southern Italy. The project merges various elements like the design planimetry of the infrastructure, SAR image datasets, measurements taken on-site, and an updated Landslide Inventory Map (LIM) to validate the compatibility of SAR outcomes with conventional monitoring techniques, especially inclinometers. Considering the widespread presence of erosional and gravitational events, such as landslides in this area, effective surveillance is crucial. The investigation utilizes COSMO-SkyMed imagery from 2015-2022. These data are processed via the Coherence Pixels Technique (CPT) algorithm, delivering numerous Persistent Scatterers (PSs). Inclinometers were used to record ground deformations and authenticate DInSAR products, showing alignment between the two different methodologies. The research highlights the value of DInSAR measurements for overseeing infrastructural changes caused by geological occurrences like landslides. These data could be integrated into an early warning mechanism, supporting decision-making processes for managing transport networks.
Integrated Infrastructure Monitoring Procedure for Road Network Management / Miele, Pietro; Di Simone, Alessio; Khalili, Mohammad Amin; Palumbo, Simone; Di Martino, Gerardo; Di Martire, Diego. - 2023:(2023), pp. 3648-3651. (Intervento presentato al convegno 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 tenutosi a Pasadena, CA, USA nel 2023) [10.1109/IGARSS52108.2023.10282053].
Integrated Infrastructure Monitoring Procedure for Road Network Management
Miele, Pietro;Di Simone, Alessio;Khalili, Mohammad Amin;Palumbo, Simone;Di Martino, Gerardo;Di Martire, Diego
2023
Abstract
This research examines the application of Interferometric Synthetic Aperture Radar (InSAR) from space for tracking and evaluating surface and structural changes in transport networks, particularly a 65 km stretch of the A16 highway in Southern Italy. The project merges various elements like the design planimetry of the infrastructure, SAR image datasets, measurements taken on-site, and an updated Landslide Inventory Map (LIM) to validate the compatibility of SAR outcomes with conventional monitoring techniques, especially inclinometers. Considering the widespread presence of erosional and gravitational events, such as landslides in this area, effective surveillance is crucial. The investigation utilizes COSMO-SkyMed imagery from 2015-2022. These data are processed via the Coherence Pixels Technique (CPT) algorithm, delivering numerous Persistent Scatterers (PSs). Inclinometers were used to record ground deformations and authenticate DInSAR products, showing alignment between the two different methodologies. The research highlights the value of DInSAR measurements for overseeing infrastructural changes caused by geological occurrences like landslides. These data could be integrated into an early warning mechanism, supporting decision-making processes for managing transport networks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
