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A platform for research: civil engineering, architecture and urbanism
Remote Sensing Meteorological and DInSAR Historical Data to Analyse the Kinematic Behaviour of Slow-Moving Landslides at Municipal Scale
The present study aims to investigate the kinematic behaviour of slow-moving landslides affecting urban areas at municipal scale, based on remote sensing meteorological and displacement (DInSAR) historical data. The long-term influence of weather patterns on landslide dynamics and their potential variation under the effect of ongoing climate change is taken into account through the reanalysis of the main weather and soil water variables derived by the freely available datasets provided by CERRA within the Copernicus Climate Change Service (C3S). The above-mentioned data are jointly analysed with widespread ground surface displacements data gathered from the processing of very-high resolution Synthetic Aperture Radar (SAR) images acquired by COSMO-SkyMed constellation via Differential Interferometry (DInSAR) techniques. The link between the main weather and soil water variables with the ground deformations sensed from the space was investigated in the territory of Vaglio Basilicata, a municipality in the Basilicata region (southern Italy) widely affected by slow-moving landslides interacting with the built-up environment and, specifically, infrastructure networks. The preliminary results achieved could be valuably used as input to outline a proper procedure aimed at the dynamic evaluation of the infrastructure risk associated with weather-induced reactivations and/or accelerations of slow-moving landslides.
Remote Sensing Meteorological and DInSAR Historical Data to Analyse the Kinematic Behaviour of Slow-Moving Landslides at Municipal Scale
The present study aims to investigate the kinematic behaviour of slow-moving landslides affecting urban areas at municipal scale, based on remote sensing meteorological and displacement (DInSAR) historical data. The long-term influence of weather patterns on landslide dynamics and their potential variation under the effect of ongoing climate change is taken into account through the reanalysis of the main weather and soil water variables derived by the freely available datasets provided by CERRA within the Copernicus Climate Change Service (C3S). The above-mentioned data are jointly analysed with widespread ground surface displacements data gathered from the processing of very-high resolution Synthetic Aperture Radar (SAR) images acquired by COSMO-SkyMed constellation via Differential Interferometry (DInSAR) techniques. The link between the main weather and soil water variables with the ground deformations sensed from the space was investigated in the territory of Vaglio Basilicata, a municipality in the Basilicata region (southern Italy) widely affected by slow-moving landslides interacting with the built-up environment and, specifically, infrastructure networks. The preliminary results achieved could be valuably used as input to outline a proper procedure aimed at the dynamic evaluation of the infrastructure risk associated with weather-induced reactivations and/or accelerations of slow-moving landslides.
Remote Sensing Meteorological and DInSAR Historical Data to Analyse the Kinematic Behaviour of Slow-Moving Landslides at Municipal Scale
Springer Ser.Geomech.,Geoengineer.
Ferrari, Alessio (editor) / Rosone, Marco (editor) / Ziccarelli, Maurizio (editor) / Gottardi, Guido (editor) / Nicodemo, Gianfranco (author) / Pecoraro, Gaetano (author) / Rianna, Guido (author) / Reder, Alfredo (author) / Luongo, Davide (author) / Peduto, Dario (author)
National Conference of the Researchers of Geotechnical Engineering ; 2023 ; Palermo, Italy
Geotechnical Engineering in the Digital and Technological Innovation Era ; Chapter: 30 ; 242-250
2023-06-17
9 pages
Article/Chapter (Book)
Electronic Resource
English
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