Building Damage Risk by Modeling Interferometric Time Series

Predicting building damage due to subsidence phenomena is a great challenge in the field of risk management, and moreover in the process of disaster risk reduction. The proposed damage assessment integrates measurements obtained from satellite synthetic aperture radar (SAR) observations with a semiempirical model, which schematizes buildings as equivalent laminated beams. The importance of each of the parameters involved in the semiempirical method has been evaluated to understand the applicability of the model in different urban contexts. SAR monitoring and structural modeling have been connected to investigate a densely urban area, the southern part of the city of Rome. Information obtained from the two fields allowed for the generation of risk maps.