Tunnel-induced land subsidence assessment in a densely populated residential area using Sentinel-1 PS-InSAR
Abstract Land subsidence detection in residential areas based on advanced remotely sensed data is an effective technique to mitigate catastrophic disasters in time. Synthetic aperture radar (SAR) in spaceborne platforms is a highly sophisticated technique to estimate ground surface subsidence with m...
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| Language: | English |
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Springer
2024-10-01
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| Series: | Discover Geoscience |
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| Online Access: | https://doi.org/10.1007/s44288-024-00086-2 |
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| author | Amila Karunathilake Makoto Ohashi Shinichi Kaneta Tatsuro Chiba |
| author_facet | Amila Karunathilake Makoto Ohashi Shinichi Kaneta Tatsuro Chiba |
| author_sort | Amila Karunathilake |
| collection | DOAJ |
| description | Abstract Land subsidence detection in residential areas based on advanced remotely sensed data is an effective technique to mitigate catastrophic disasters in time. Synthetic aperture radar (SAR) in spaceborne platforms is a highly sophisticated technique to estimate ground surface subsidence with millimeter accuracy for wide-area observation. SAR is beneficial for large-scale social infrastructure project planning and monitoring in densely populated residential areas. In this study, we applied a permanent scatterer (PS) interferometric SAR (PS-InSAR)-based technique for monitoring land subsidence in a tunnel construction site in the Greater Tokyo Area to investigate tunnel-induced ground surface subsidence. Sentinel-1 repeat-pass SAR data in ascending and descending orbital directions were used for continuous observation. Consecutively estimated interferograms based on repeat-pass SAR data were generated to monitor and detect tunnel-induced land subsidence as well as confirm long-term stability along the tunnel excavation path. A bidirectional displacement of the ground area parallel to the earth’s surface in the east–west direction and perpendicular to the earth’s surface in the up–down direction was estimated at a high-phase consistency location using a PS interferometric stacking technique. The resultant data were then analyzed to detect anomalies in the ground area in the spatiotemporal domains by performing displacement time-series analysis. An area near Higashi-Tsutsujigaoka’s local administrative region in the metropolitan center of Tokyo was observed to have 15-mm subsidence and 30-mm displacement in the east–west direction during August–October 2020. The conventional level survey results in the same ground area showed 15–20-mm subsidence above the tunnel excavation path. The findings of this study offer insights into understanding land subsidence in residential environments. |
| format | Article |
| id | doaj-art-8b8128b042014eb689ef58ca970f7517 |
| institution | OA Journals |
| issn | 2948-1589 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Geoscience |
| spelling | doaj-art-8b8128b042014eb689ef58ca970f75172025-08-20T02:18:24ZengSpringerDiscover Geoscience2948-15892024-10-012111410.1007/s44288-024-00086-2Tunnel-induced land subsidence assessment in a densely populated residential area using Sentinel-1 PS-InSARAmila Karunathilake0Makoto Ohashi1Shinichi Kaneta2Tatsuro Chiba3Advanced Technology Research Laboratory, Asia Air Survey Co. LtdAdvanced Technology Research Laboratory, Asia Air Survey Co. LtdAdvanced Technology Research Laboratory, Asia Air Survey Co. LtdAdvanced Technology Research Laboratory, Asia Air Survey Co. LtdAbstract Land subsidence detection in residential areas based on advanced remotely sensed data is an effective technique to mitigate catastrophic disasters in time. Synthetic aperture radar (SAR) in spaceborne platforms is a highly sophisticated technique to estimate ground surface subsidence with millimeter accuracy for wide-area observation. SAR is beneficial for large-scale social infrastructure project planning and monitoring in densely populated residential areas. In this study, we applied a permanent scatterer (PS) interferometric SAR (PS-InSAR)-based technique for monitoring land subsidence in a tunnel construction site in the Greater Tokyo Area to investigate tunnel-induced ground surface subsidence. Sentinel-1 repeat-pass SAR data in ascending and descending orbital directions were used for continuous observation. Consecutively estimated interferograms based on repeat-pass SAR data were generated to monitor and detect tunnel-induced land subsidence as well as confirm long-term stability along the tunnel excavation path. A bidirectional displacement of the ground area parallel to the earth’s surface in the east–west direction and perpendicular to the earth’s surface in the up–down direction was estimated at a high-phase consistency location using a PS interferometric stacking technique. The resultant data were then analyzed to detect anomalies in the ground area in the spatiotemporal domains by performing displacement time-series analysis. An area near Higashi-Tsutsujigaoka’s local administrative region in the metropolitan center of Tokyo was observed to have 15-mm subsidence and 30-mm displacement in the east–west direction during August–October 2020. The conventional level survey results in the same ground area showed 15–20-mm subsidence above the tunnel excavation path. The findings of this study offer insights into understanding land subsidence in residential environments.https://doi.org/10.1007/s44288-024-00086-2Land subsidenceSAR interferometryPermanent scattersDisplacement time-seriesVisualization |
| spellingShingle | Amila Karunathilake Makoto Ohashi Shinichi Kaneta Tatsuro Chiba Tunnel-induced land subsidence assessment in a densely populated residential area using Sentinel-1 PS-InSAR Discover Geoscience Land subsidence SAR interferometry Permanent scatters Displacement time-series Visualization |
| title | Tunnel-induced land subsidence assessment in a densely populated residential area using Sentinel-1 PS-InSAR |
| title_full | Tunnel-induced land subsidence assessment in a densely populated residential area using Sentinel-1 PS-InSAR |
| title_fullStr | Tunnel-induced land subsidence assessment in a densely populated residential area using Sentinel-1 PS-InSAR |
| title_full_unstemmed | Tunnel-induced land subsidence assessment in a densely populated residential area using Sentinel-1 PS-InSAR |
| title_short | Tunnel-induced land subsidence assessment in a densely populated residential area using Sentinel-1 PS-InSAR |
| title_sort | tunnel induced land subsidence assessment in a densely populated residential area using sentinel 1 ps insar |
| topic | Land subsidence SAR interferometry Permanent scatters Displacement time-series Visualization |
| url | https://doi.org/10.1007/s44288-024-00086-2 |
| work_keys_str_mv | AT amilakarunathilake tunnelinducedlandsubsidenceassessmentinadenselypopulatedresidentialareausingsentinel1psinsar AT makotoohashi tunnelinducedlandsubsidenceassessmentinadenselypopulatedresidentialareausingsentinel1psinsar AT shinichikaneta tunnelinducedlandsubsidenceassessmentinadenselypopulatedresidentialareausingsentinel1psinsar AT tatsurochiba tunnelinducedlandsubsidenceassessmentinadenselypopulatedresidentialareausingsentinel1psinsar |