###### 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. Structural Health Monitoring; satellite data; remote sensing; SBAS-DInSAR; subsidence; subway excavation 202120220227 January 2022027 January 2022027 January 2022027 January 2022027 February 20227 February 20227 February 20227 February 20227 February 202 observer [3]. The main advantages are to guarantee a broad coverage both spatially and temporally, with a low environmental impact. The potentialities of applying satellite remote sensing for urban applications have been highlighted as long ago as in 1985 by [PERSON] [4]. However, the employment of this remote sensing approach for civil SHM is recent and has been fostered by the increase in data quality and the development of new algorithms for data processing. The satellite sensors use radar waves, characterized by wavelengths in the range between 1 m and 1 mm. In addition, data can be acquired regardless of the presence of sunlight and can be used even in sub-optimal weather conditions (e.g., in the presence of clouds). Satellites commonly roughly follow polar orbits, with a slight inclination angle to the meridians, and descending and ascending orbits are distinguished depending on the pole toward which the satellite moves. The direction along which there is the emission and reception of the signal is called Line of Sight (LOS) and is the direction along which the sensors gather the images and information about the displacements of points on the earth's surface. The new SHM approaches exploit the radar images gathered from satellite constellations, adopting Synthetic Aperture Radar (SAR). It is a satellite radar acquisition technique that uses the synthesis of a virtual antenna with a kilometric aperture to improve spatial resolution. This virtual antenna is simulated by acquisitions made on the same area, observed at different times and positions by the same satellite [5]. Among SAR acquisition techniques, the Interferometric SAR (InSAR) is employed to extract displacement information. It allows describing interferograms by comparing the SAR data over a baseline time and evaluating the differences between the measures [6]. A particular kind of InSAR is the Differential Interferometry SAR (DInSAR), in which only the pure displacement components of the differential satellite target phases are depicted from the images acquired by the satellite in the same area at different time instants. Satellite interferometric data have already been exploited in some early SHM applications for urban areas and to quantify large-scale phenomena, such as land subsidence [7; 8; 9; 10; 11; 12]. Recently, the need for efficient real-time monitoring of damage led to the development of new techniques, such as the multi-temporal InSAR (MT-InSAR) [13].