Integration of PSInSAR, BIM and GIS 3D for Infrastructure Monitoring

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.

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Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2025-09-04
DOI
https://doi.org/10.5194/isprs-archives-xlviii-2-w9-2025-99-2025
Primary Topic
Advanced Computational Techniques and Applications
Type
article
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article

Integration of PSInSAR, BIM and GIS 3D for Infrastructure Monitoring

Vincenzo Barrile, Emanuela Genovese
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Advanced Computational Techniques and Applications
article

Integration of PSInSAR, BIM and GIS 3D for Infrastructure Monitoring

Vincenzo Barrile, Emanuela Genovese
article en

Abstract

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.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-2/W9-2025
University of Reggio Calabria (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 88%
Advanced Computational Techniques and Applications
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