Land subsidence and uplift can affect extensive areas and pose a threat to the stability of existing infrastructure. Large-scale monitoring of deformation phenomena is essential for the early detection of anomalies and sudden changes in land geomorphology. Within this framework, numerous studies in the literature are concentrating on the application of SAR data to monitor and evaluate these phenomena, highlighting the need to integrate this type of data with three-dimensional representations of the examined territory. The aim of this research is to integrate deformation data with advanced technologies common in the structural field, such as Building Information Modelling (BIM), and geospatial data management tools, such as Geographic Information Systems (GIS). Using data from Sentinel-1A and Sentinel-1B, processed through StaMPS-MTI and subsequently integrated into an interactive Cesium-based environment, it was possible to associate each BIM component with a deformation-related risk, calculated with PSInSAR technique. This association enabled the identification of the most vulnerable components of the structure and, for the case study, revealed a slight subsidence trend near one of the structure’s foundations. The results highlight the strong potential of this integration, offering a valuable tool for more in-depth and advanced analyses in an intuitive and interactive way.
Integration of PSInSAR, BIM and GIS 3D for infrastructure monitoring / Genovese, E.; Barrile, V.. - (2025), pp. 99-104. ( ISPRS WG II/8 International Workshop “Photogrammetric and computer vision techniques for infraStructure monitoring, Biometrics and Biomedicine” – PSBB25 Mosca, Russia ) [10.5194/isprs-archives-xlviii-2-w9-2025-99-2025].
Integration of PSInSAR, BIM and GIS 3D for infrastructure monitoring
Genovese E.
Primo
;
2025
Abstract
Land subsidence and uplift can affect extensive areas and pose a threat to the stability of existing infrastructure. Large-scale monitoring of deformation phenomena is essential for the early detection of anomalies and sudden changes in land geomorphology. Within this framework, numerous studies in the literature are concentrating on the application of SAR data to monitor and evaluate these phenomena, highlighting the need to integrate this type of data with three-dimensional representations of the examined territory. The aim of this research is to integrate deformation data with advanced technologies common in the structural field, such as Building Information Modelling (BIM), and geospatial data management tools, such as Geographic Information Systems (GIS). Using data from Sentinel-1A and Sentinel-1B, processed through StaMPS-MTI and subsequently integrated into an interactive Cesium-based environment, it was possible to associate each BIM component with a deformation-related risk, calculated with PSInSAR technique. This association enabled the identification of the most vulnerable components of the structure and, for the case study, revealed a slight subsidence trend near one of the structure’s foundations. The results highlight the strong potential of this integration, offering a valuable tool for more in-depth and advanced analyses in an intuitive and interactive way.| File | Dimensione | Formato | |
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Genovese_Integration-PSInSAR_2025.pdf
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