Geomatic techniques find wide applications in the deformation monitoring of civil structures and infrastructures. In this work, integrated geomatic methodologies are applied in the deformations monitoring of the MOSE (MOdulo Sperimentale Elettromeccanico) system, the infrastructure that protects Venice and its lagoon from high tides. In detail, classical topographic measurements with total station, GNSS observations from 36 permanent stations, TLS (Terrestrial Laser Scanning) acquisitions, SfM (Structure from Motion) photogrammetry using images obtained from a drone, and InSAR (Interferometric Synthetic Aperture Radar) data are involved. The integration of these data is aimed to: i) the floodgate gaps monitoring; ii) the rubber joint monitoring in the first and secondary tunnels due to the relative displacements between the adjacent submerged caissons. The results of floodgate gaps monitoring obtained from the topography and TLS data were validated using SfM photogrammetry in the Treporti barrier obtaining differences of up to 1.6 cm. GNSS velocities were calculated using Bernese software and compared with InSAR velocities provided by the Veneto Region service (Sentinel-1 data). The obtained differences provided good agreement between the different sources of data.

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Geomatic Monitoring of the MOSE System Deformations (Venice, Italy)

  • Massimo Fabris,
  • Irene D’Urso,
  • Antonio Furlan,
  • Massimo Gambillara,
  • Andrea Menin,
  • Michele Monego,
  • Massimo Pravato,
  • Valerio Volpe

摘要

Geomatic techniques find wide applications in the deformation monitoring of civil structures and infrastructures. In this work, integrated geomatic methodologies are applied in the deformations monitoring of the MOSE (MOdulo Sperimentale Elettromeccanico) system, the infrastructure that protects Venice and its lagoon from high tides. In detail, classical topographic measurements with total station, GNSS observations from 36 permanent stations, TLS (Terrestrial Laser Scanning) acquisitions, SfM (Structure from Motion) photogrammetry using images obtained from a drone, and InSAR (Interferometric Synthetic Aperture Radar) data are involved. The integration of these data is aimed to: i) the floodgate gaps monitoring; ii) the rubber joint monitoring in the first and secondary tunnels due to the relative displacements between the adjacent submerged caissons. The results of floodgate gaps monitoring obtained from the topography and TLS data were validated using SfM photogrammetry in the Treporti barrier obtaining differences of up to 1.6 cm. GNSS velocities were calculated using Bernese software and compared with InSAR velocities provided by the Veneto Region service (Sentinel-1 data). The obtained differences provided good agreement between the different sources of data.