Assessing the potential of interferometric SAR for monitoring linear transportation infrastructure: case studies from Eastern Ontario

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  • Two RADARSAT-2 Spotlight (SLA24 and SLA74), and one Sentinel-1A (IW) SAR datasets are used to assess the potential of InSAR for monitoring linear transportation infrastructure subject to geohazards. A variety of case studies in Cornwall, Ontario are examined. An InSAR processing sequence was established for the RADARSAT-2 datasets; 19 SLA24 and 15 SLA74 images were used to create time-series deformation maps of Cornwall spanning March 2015 to September 2016. The noise floors were ± 1.5 cm and ± 1.0 cm, respectively. Phase unwrapping errors, atmospheric path delay, and limited SAR data were identified as the largest contributors to noise. The InSAR processing sequence was adapted to the Sentinel-1A dataset, and used to create unwrapped differential interferograms. A discussion of the phase components of these interferograms is presented. Large SAR datasets, small incidence angles, moderate image resolution, and 6-12 day revisit periods are recommended for monitoring linear transportation infrastructure.

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  • Copyright © 2017 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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  • 2017


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