| Title | Installation, operation and evaluation of an innovative global navigation satellite system monitoring technology at Ripley Landslide and South Slide near Ashcroft, British Columbia |
| Download | Downloads |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Huntley, D ;
Bobrowsky, P; Cocking, R; Joseph, J; Neelands, P; MacLeod, R; Rotheram-Clarke, D; Usquin, R; Verluise, F |
| Source | Geological Survey of Canada, Open File 8742, 2020, 36 pages, https://doi.org/10.4095/327125  Open Access |
| Image |  |
| Year | 2020 |
| Publisher | Natural Resources Canada |
| Document | open file |
| Lang. | English |
| Media | on-line; digital |
| Related | NRCan
photo(s) in this publication |
| File format | pdf |
| Province | British Columbia |
| NTS | 92I/11 |
| Area | Ashcroft; Thompson River; Spences Bridge; Lytton |
| Lat/Long WENS | -121.3333 -121.2500 50.7500 50.5833 |
| Subjects | surficial geology/geomorphology; geophysics; Science and Technology; Nature and Environment; Health and Safety; Transport; landslides; geodesy; displacement; creep; in-field instrumentation; equipment
testing; meteorology; temperature; surface waters; rivers; bathymetry; remote sensing; satellite imagery; Ripley Landslide; South Slide; Infrastructures; Railway networks; global navigation satellite systems (GNSS); synthetic aperture radar surveys
(SAR); drones |
| Illustrations | location maps; photographs; flow diagrams; tables; screen captures; satellite images; plots; time series; geoscientific sketch maps |
| Program | Public
Safety Geoscience Terrestrial Landslides |
| Released | 2020 09 01 |
| Abstract | (unpublished)
Vital railway infrastructure and operations are at risk from landslides across much of Canada. A particularly vulnerable section of the Canadian National (CN) and Canadian
Pacific (CP) railway corridors runs through the Thompson River valley between Ashcroft, Spences Bridge and Lytton in southern British Columbia. Landslides in this valley serve as field-based laboratories to test and compare the reliability and
effectiveness of different static, dynamic and real-time monitoring technologies. A critical knowledge gap is our understanding of the spatial and temporal distribution of movement/displacement across landslides from year to year. Addressing this
research problem, our Open File describes the installation, operation, and assessment of a GeocubeTM (GeoKylia) network: a high resolution (millimetric) global navigation satellite system (GNSS), developed by Ophelia Sensors,. Small, rugged GNSS
receivers are designed with directional antennas to relay GNSS data to Geocoordinator units. The Geocoordinator stores the GNSS data for multiple GeocubeTM units, and can be connected to a modem and an omnidirectional antenna to access a local 3G
network to provide internet access. GeocubeTM records provide new insight on the rates and spatial pattern of creep, and also on the timing and possibly precursors of changes in creep behaviour. A future research goal will be to develop a Geocube
monitoring protocol and tools that capture patterns and rates of movement, and changes in landslide activity. Comparing displacement trends with temperature, precipitation, river level, and ground resistivity will help establish landslide warning
thresholds based on environmental conditions, and used to forecast pending failures. |
| Summary | (Plain Language Summary, not published)
Vital railway infrastructure and operations run through the Thompson River valley between Ashcroft, Spences Bridge and Lytton in southern British
Columbia. Landslides in this valley serve as field laboratories to test and compare the reliability and effectiveness of different landslide monitoring technologies. This Open File describes the installation, operation, and assessment of small,
rugged global navigation satellite system receivers designed with directional antennas to relay spatial data to storage system connected to the internet. New insight on the rates and spatial pattern of landslide movement is gained. Future research
will establish landslide warning thresholds based on environmental conditions, and used to forecast pending failures. |
| GEOSCAN ID | 327125 |
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