REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING
The need for a continuous evaluation of the state of preservation of civil infrastructures during their lifetime is increasingly requiring advanced monitoring technologies. The improvement of spatial and temporal resolution of the measurements is now one of the most significant achievement, especial...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2019-05-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W11/461/2019/isprs-archives-XLII-2-W11-461-2019.pdf |
| _version_ | 1818856819066404864 |
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| author | P. D’Aranno A. Di Benedetto M. Fiani M. Marsella |
| author_facet | P. D’Aranno A. Di Benedetto M. Fiani M. Marsella |
| author_sort | P. D’Aranno |
| collection | DOAJ |
| description | The need for a continuous evaluation of the state of preservation of civil infrastructures during their lifetime is increasingly requiring advanced monitoring technologies. The improvement of spatial and temporal resolution of the measurements is now one of the most significant achievement, especially for large infrastructures. Monitoring actions are necessary to maintain safety conditions by controlling the evolution of deformation patterns or detecting significant instabilities. Remote sensing technique such as Differential Interferometry by Synthetic Aperture Radar (DInSAR) allows identifying environmental vulnerability and potential damages on large road infrastructures thus contributing to plan and optimize maintenance actions. DInSAR data allow to highlight instability processes and to quantify mean deformation velocities and displacement time series. This information can be analysed considering geotechnical and structural characteristics and adopted to evaluate possible safety condition improvement and damage mitigation. Using proximal remote sensing techniques, such as Light Detection And Ranging (LiDAR), it is possible to analyse the pavement conditions on 3D models derived from a dense point cloud acquired by Mobile Laser Scanner (MLS). By combining the DInSAR and LiDAR datasets a great improvement is expected in the capability to promptly identifying critical situations and understanding potential risks affecting extended road infrastructures. The principal aim of this paper is to provide a general overview of the most innovative remote sensing techniques for infrastructure safety condition assessments. Furthermore, a methodological approach to define a reliable procedure for data processing and integration is applied on a test area located in the municipality of Rome. |
| first_indexed | 2024-12-19T08:30:33Z |
| format | Article |
| id | doaj.art-1dcb4ce431364ced9281f8b77adf9fad |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-19T08:30:33Z |
| publishDate | 2019-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-1dcb4ce431364ced9281f8b77adf9fad2022-12-21T20:29:12ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-05-01XLII-2-W1146146810.5194/isprs-archives-XLII-2-W11-461-2019REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORINGP. D’Aranno0A. Di Benedetto1M. Fiani2M. Marsella3Survey Lab S.r.l., Rome, ItalyDipartimento di Ingegneria Civile, Università di Salerno, Fisciano (SA), ItalyDipartimento di Ingegneria Civile, Università di Salerno, Fisciano (SA), ItalyDipartimento di Ingegneria Civile Edile e Ambientale, Università La Sapienza, Rome, ItalyThe need for a continuous evaluation of the state of preservation of civil infrastructures during their lifetime is increasingly requiring advanced monitoring technologies. The improvement of spatial and temporal resolution of the measurements is now one of the most significant achievement, especially for large infrastructures. Monitoring actions are necessary to maintain safety conditions by controlling the evolution of deformation patterns or detecting significant instabilities. Remote sensing technique such as Differential Interferometry by Synthetic Aperture Radar (DInSAR) allows identifying environmental vulnerability and potential damages on large road infrastructures thus contributing to plan and optimize maintenance actions. DInSAR data allow to highlight instability processes and to quantify mean deformation velocities and displacement time series. This information can be analysed considering geotechnical and structural characteristics and adopted to evaluate possible safety condition improvement and damage mitigation. Using proximal remote sensing techniques, such as Light Detection And Ranging (LiDAR), it is possible to analyse the pavement conditions on 3D models derived from a dense point cloud acquired by Mobile Laser Scanner (MLS). By combining the DInSAR and LiDAR datasets a great improvement is expected in the capability to promptly identifying critical situations and understanding potential risks affecting extended road infrastructures. The principal aim of this paper is to provide a general overview of the most innovative remote sensing techniques for infrastructure safety condition assessments. Furthermore, a methodological approach to define a reliable procedure for data processing and integration is applied on a test area located in the municipality of Rome.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W11/461/2019/isprs-archives-XLII-2-W11-461-2019.pdf |
| spellingShingle | P. D’Aranno A. Di Benedetto M. Fiani M. Marsella REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING |
| title_full | REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING |
| title_fullStr | REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING |
| title_full_unstemmed | REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING |
| title_short | REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING |
| title_sort | remote sensing technologies for linear infrastructure monitoring |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W11/461/2019/isprs-archives-XLII-2-W11-461-2019.pdf |
| work_keys_str_mv | AT pdaranno remotesensingtechnologiesforlinearinfrastructuremonitoring AT adibenedetto remotesensingtechnologiesforlinearinfrastructuremonitoring AT mfiani remotesensingtechnologiesforlinearinfrastructuremonitoring AT mmarsella remotesensingtechnologiesforlinearinfrastructuremonitoring |