Abstract
In recent years, the use of interferometric satellite data for Structural Health Monitoring has experienced a strong development. The urban environment confirms its fragility to adverse natural events, made even more severe by climate change. Hence, the need to carry out continuous monitoring of structures and artefacts appears increasingly urgent. Furthermore, satellite data could considerably increase the feasibility of traditional Structural Health Monitoring (SHM) approaches. This study aims to explore this remote sensing approach, focusing on the representation techniques that can be adopted to highlight their advantages and provide an interpretation of the results. In particular, the study analyzes records from the urban area of Rome (Italy), subject to the construction of a new subway line. These data are exploited to create a velocity map to highlight the possible subsidence phenomenon induced by excavations. Then, the paper focuses on single buildings or building complexes through the entropy-energy representation. Beyond the different limitations caused by the input data, a correlation is identified between the results of the two representation techniques. Accordingly, the effects of excavation on the urban area are demonstrated, and the methodologies are validated.
Highlights
In recent years, the built environment and entire urban areas have been subjected to many adverse natural phenomena or extreme events, which can often be linked to advancing climate change
The differential interferometric Synthetic Aperture Radar (SAR) information is processed by adopting the Small Baseline Subset algorithm (SBAS– DinSAR) [20,21]; it is possible to obtain the displacements with the accuracy of centimeters and millimeters
The present section describes the application of the interferometric satellite data to identify subsidence effects due to the excavation of the T3 section of Line C subway in Rome’s urban center
Summary
The built environment and entire urban areas have been subjected to many adverse natural phenomena or extreme events, which can often be linked to advancing climate change. It highlighted how buildings, infrastructures and architectural heritage structures are highly fragile and vulnerable. Arises the need for novel Structural Health Monitoring (SHM) techniques and technologies capable of providing continuous datasets, with high efficiency and reduced costs. Among new SHM technologies, the possibility of using remote sensing techniques [2], especially data gathered by constellations of artificial satellites, is becoming a viable option. The main advantages are to guarantee a broad coverage both spatially and temporally, with a low environmental impact
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