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Remote Sens. 2018, 10(2), 287; https://doi.org/10.3390/rs10020287

Multi-Temporal InSAR Structural Damage Assessment: The London Crossrail Case Study

1
Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA 91109, USA
2
Department of Architecture and Civil Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UK
3
Department of Engineering, University of Cambridge, Trumpington St., Cambridge CB2 1PZ, UK
4
Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA
5
Agenzia Spaziale Italiana, Contrada Terlecchia, Matera, MT 75100, Italy
*
Author to whom correspondence should be addressed.
Received: 18 December 2017 / Revised: 5 February 2018 / Accepted: 7 February 2018 / Published: 13 February 2018
(This article belongs to the Special Issue Imaging Geodesy and Infrastructure Monitoring)
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Abstract

Spaceborne multi-temporal interferometric synthetic aperture radar (MT-InSAR) is a monitoring technique capable of extracting line of sight (LOS) cumulative surface displacement measurements with millimeter accuracy. Several improvements in the techniques and datasets quality led to more effective, near real time assessment and response, and a greater ability of constraining dynamically changing physical processes. Using examples of the COSMO-SkyMed (CSK) system, we present a methodology that bridges the gaps between MT-InSAR and the relative stiffness method for tunnel-induced subsidence damage assessment. The results allow quantification of the effect of the building on the settlement profile. As expected the greenfield deformation assessment tends to provide a conservative estimate in the majority of cases (~71% of the analyzed buildings), overestimating tensile strains up to 50%. With this work we show how these two techniques in the field of remote sensing and structural engineering can be synergistically used to complement and replace the traditional ground based analysis by providing an extended coverage and a temporally dense set of data. View Full-Text
Keywords: multi-temporal InSAR; InSAR; tunneling; subsidence; relative stiffness method; structural engineering; damage assessment; soil-structure interaction multi-temporal InSAR; InSAR; tunneling; subsidence; relative stiffness method; structural engineering; damage assessment; soil-structure interaction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Milillo, P.; Giardina, G.; DeJong, M.J.; Perissin, D.; Milillo, G. Multi-Temporal InSAR Structural Damage Assessment: The London Crossrail Case Study. Remote Sens. 2018, 10, 287.

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