Interferometric Stacking toward Geohazard Identification and Geotechnical Asset Monitoring
Publication: Journal of Infrastructure Systems
Volume 22, Issue 2
Abstract
Geotechnical assets are those found along transportation environments and are made up of or supported by earth materials. A geotechnical asset management program aims to achieve life-cycle performance goals by maintaining the geotechnical assets in a safe, cost-effective, and timely manner. Interferometric synthetic aperture radar, a remote sensing technique that derives ground deformation information from satellite-based radar data, is proposed as a monitoring method in the context of geotechnical asset management. A total of 90 ERS-1, ERS-2, and ENVISAT radar images, acquired from 1992 through 2010, are processed using two interferometric stacking techniques to measure ground deformation along a railroad corridor. A local-scale study was first conducted over a known slide (S-1) where total displacements up to 6 cm were measured. Then a regional-scale study was performed to locate hazard zones. Six potential geo-hazard zones were identified along the railroad corridor based on five criteria: slope distance, slope height, slope angle, average downslope velocity, and total downslope displacement. Interferometric stacking is shown to be quite useful for geotechnical asset management, as this remote sensing technique allows for an indirect method of quantifying asset condition and allows for the long-term monitoring of geotechnical assets that a management program aims to achieve.
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Acknowledgments
This project was funded by the U.S. Department of Transportation (USDOT) through the Office of the Assistant Secretary for Research and Technology (Cooperative Agreement No. RITARS-14-H-MTU). Union Pacific Railroad (UPRR) granted the project team access to the study site. Satellite data were provided by the European Space Agency (Category 1 Proposal 18594). Precise orbits for the ERS-1/-2 and ENVISAT satellites were provided by the Delft Institute for Earth-oriented Space Research. Digital elevation models were provided by the Jet Propulsion Laboratory and the National Aeronautics and Space Administration via the Shuttle Radar Topography Mission. Data processing was performed using ENVI SARscape. The authors would also like to thank the following individuals for their contributions to the work described: Caesar Singh, USDOT and program manager; Caleb Douglas, UPRR; Adrian Bohane and Vicky Hsiao, TRE Canada, Inc.; Stanley Vitton, Michigan Technological University, Department of Civil and Environmental Engineering; Pasi Lautala, Michigan Tech Transportation Institute, Rail Transportation Program.
Disclaimer
The views, opinions, findings, and conclusions reflected in this paper are the responsibility of the authors only and do not represent the official policy or position of the USDOT/OST-R or any state or other entity.
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© 2016 American Society of Civil Engineers.
History
Received: Apr 28, 2015
Accepted: Oct 1, 2015
Published online: Jan 6, 2016
Published in print: Jun 1, 2016
Discussion open until: Jun 6, 2016
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