Within the framework of a project for studying and monitoring the seismic behavior of the cathedral of Orvieto, the authors aim at exploring the most recent and innovative multidisciplinary methodologies based on the integration of different in-situ and aerospace satellite techniques. Through the comparison with conventional in-situ monitoring techniques the present study is intended to provide a significant contribution to calibrate and validate the results of the latest InSAR (Interferometric Synthetic Aperture Radar) data processing methodologies for monitoring the structural stability of buildings. In fact, their potentiality is to assess the millimetric displacement trend of the so-called Permanent Scatterers (PSs) retrieved from SAR images series. The PSs on the cathedral of Orvieto and on the surrounding area were identified through preliminary analysis of data acquired by the Envisat-ASAR (C-band) sensor, while the processing of those from the latest high-resolution COSMO-SkyMed (X-band) is ongoing. The perspective of the present project is to provide optimal solutions for a continuous monitoring of the structural health of the cathedral of Orvieto, eventually to be extended to other historical constructions in the Umbria region and subsequently to those on the whole Italian territory.
|Publication status||Published - 2015|
|Event||7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015 - Torino, Italy|
Duration: 1 Jan 2015 → …
|Conference||7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015|
|Period||1/1/15 → …|
All Science Journal Classification (ASJC) codes
- Building and Construction
- Civil and Structural Engineering
- Artificial Intelligence
De Canio, G., Roselli, I., Giocoli, A., Mongelli, M., Tatì, A., Pollino, M., ... Borfecchia, F. (2015). Seismic monitoring of the cathedral of Orvieto: Combining satellite InSAR with in-situ techniques. Paper presented at 7th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2015, Torino, Italy.