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Updated understanding of the deformation characteristics of the Checkerboard Creek rock slope through GB-InSAR monitoring
Abstract Ground-based, interferometric, synthetic aperture radar (GB-InSAR) has been successfully implemented for the monitoring and assessment of both natural and man-made slopes. Its advantages include high-frequency data acquisition and high spatial density, providing maps of displacement. The implementation of this tool for civil projects in remote areas and under severe weather conditions present several challenges. This paper presents the implementation of GB-InSAR, particularly using discrete monitoring campaigns and temporal aggregation of data, for resolving logistical issues associated with power availability. This was implemented to monitor a very slow-moving (average displacement rate of ~10 mm/y) 2 to 3 million m3 bedrock landslide known as The Checkerboard Creek Rock Slope located within the Revelstoke dam reservoir, BC, Canada. GB-InSAR deployment has been successful as it confirmed the toppling-like deformation mode, improved definition of the most active area within the exposed slope cut, improved understanding of the seasonality observed in some instruments at the site, and identification of a potential unstable block north of the known active area. Further, the findings in this paper verify the feasibility of implementing GB-InSAR technology to monitor similar slopes associated with the safety of civil infrastructure and in challenging conditions characteristic of the Canadian environment.
Highlights Discontinuous ground radar slope monitoring in remote, challenging environments. Successful implementation and update of rock landslide deformation patterns. Valuable insight into slow rock landslides without base sliding surface. Precedent and guide for ground radar deployment in remote, challenging weather. Updated information on known Canadian landslide Checkerboard Creek Rock Slope.
Updated understanding of the deformation characteristics of the Checkerboard Creek rock slope through GB-InSAR monitoring
Abstract Ground-based, interferometric, synthetic aperture radar (GB-InSAR) has been successfully implemented for the monitoring and assessment of both natural and man-made slopes. Its advantages include high-frequency data acquisition and high spatial density, providing maps of displacement. The implementation of this tool for civil projects in remote areas and under severe weather conditions present several challenges. This paper presents the implementation of GB-InSAR, particularly using discrete monitoring campaigns and temporal aggregation of data, for resolving logistical issues associated with power availability. This was implemented to monitor a very slow-moving (average displacement rate of ~10 mm/y) 2 to 3 million m3 bedrock landslide known as The Checkerboard Creek Rock Slope located within the Revelstoke dam reservoir, BC, Canada. GB-InSAR deployment has been successful as it confirmed the toppling-like deformation mode, improved definition of the most active area within the exposed slope cut, improved understanding of the seasonality observed in some instruments at the site, and identification of a potential unstable block north of the known active area. Further, the findings in this paper verify the feasibility of implementing GB-InSAR technology to monitor similar slopes associated with the safety of civil infrastructure and in challenging conditions characteristic of the Canadian environment.
Highlights Discontinuous ground radar slope monitoring in remote, challenging environments. Successful implementation and update of rock landslide deformation patterns. Valuable insight into slow rock landslides without base sliding surface. Precedent and guide for ground radar deployment in remote, challenging weather. Updated information on known Canadian landslide Checkerboard Creek Rock Slope.
Updated understanding of the deformation characteristics of the Checkerboard Creek rock slope through GB-InSAR monitoring
Woods, A. (author) / Macciotta, R. (author) / Hendry, M.T. (author) / Stewart, T. (author) / Marsh, J. (author)
Engineering Geology ; 281
2020-12-12
Article (Journal)
Electronic Resource
English
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