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2021 | OriginalPaper | Chapter

1. Advanced Radar Images for Monitoring Transportation, Energy, Mining and Coastal Infrastructure

Authors : Vernon Singhroy, Mary-Anne Fobert, Junhua Li, Andrée Blais-Stevens, François Charbonneau, M. Das

Published in: Advances in Remote Sensing for Infrastructure Monitoring

Publisher: Springer International Publishing

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Abstract

This chapter provides a summary of the most current sensors being used for monitoring infrastructure. We also provide case studies on:
  • The use of time-series radar interferometry (InSAR) to monitor critical highways, railways, and pipelines affected by landslides that are triggered by coastal erosion, spring snowmelt, permafrost thaw, monsoons, and hurricanes.
  • The use of InSAR, change detection, and image fusion techniques to explore and monitor mining sites.
  • The use of radar images to monitor shoreline change and oil spills.
We have shown that high-resolution InSAR images are effective as an early warning system to monitor:
  • Landslides along highways and railways in coastal and mountainous areas.
  • Safe mining practices and heaving rates were produced by steam injection in the mining of the oil sands.
  • Pipeline corridors in high risk mountainous, wetlands, and permafrost terrains to prevent oil spills.
We have also shown that radar time-series, change detection, and polarmetric image fusion techniques are effective to identify
  • Mining practice and illegal mining in cloudy remote tropical areas.
  • Shifting low lying coastlines caused by rising sea level affecting coastal infrastructure.
  • Faults to improve mineral exploration.
  • Oil spills from ocean drilling platforms.
These case studies will assist in providing guidelines for the use of advanced radar image techniques for monitoring infrastructure related to civil engineering construction and mining.

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Metadata
Title
Advanced Radar Images for Monitoring Transportation, Energy, Mining and Coastal Infrastructure
Authors
Vernon Singhroy
Mary-Anne Fobert
Junhua Li
Andrée Blais-Stevens
François Charbonneau
M. Das
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-59109-0_1

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