Field testing innovative differential geospatial and photogrammetric monitoring technologies in mountainous terrain near Ashcroft, British Columbia, Canada.

Bathymetric Survey Change detection monitoring Geocube™ Global Navigation Satellite System Interferometric Synthetic Aperture Radar Landslide Real-Time Kinematic System Unmanned Aerial Vehicle

Journal

Journal of mountain science
ISSN: 1672-6316
Titre abrégé: J Mt Sci
Pays: China
ID NLM: 101660602

Informations de publication

Date de publication:
2021
Historique:
received: 03 11 2020
accepted: 08 12 2020
entrez: 18 1 2021
pubmed: 19 1 2021
medline: 19 1 2021
Statut: ppublish

Résumé

This paper presents a novel approach to continuously monitor very slow-moving translational landslides in mountainous terrain using conventional and experimental differential global navigation satellite system (d-GNSS) technologies. A key research question addressed is whether displacement trends captured by a radio-frequency "mobile" d-GNSS network compare with the spatial and temporal patterns in activity indicated by satellite interferometric synthetic aperture radar (InSAR) and unmanned aerial vehicle (UAV) photogrammetry. Field testing undertaken at Ripley Landslide, near Ashcroft in south-central British Columbia, Canada, demonstrates the applicability of new geospatial technologies to monitoring ground control points (GCPs) and railway infrastructure on a landslide with small and slow annual displacements (<10 cm/yr). Each technique records increased landslide activity and ground displacement in late winter and early spring. During this interval, river and groundwater levels are at their lowest levels, while ground saturation rapidly increases in response to the thawing of surficial earth materials, and the infiltration of snowmelt and runoff occurs by way of deep-penetrating tension cracks at the head scarp and across the main slide body. Research over the last decade provides vital information for government agencies, national railway companies, and other stakeholders to understand geohazard risk, predict landslide movement, improve the safety, security, and resilience of Canada's transportation infrastructure; and reduce risks to the economy, environment, natural resources, and public safety.

Identifiants

pubmed: 33456447
doi: 10.1007/s11629-020-6552-y
pii: 6552
pmc: PMC7802060
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-20

Informations de copyright

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2021.

Auteurs

David Huntley (D)

Geological Survey of Canada, 1500-605 Robson Street, Vancouver, British Columbia V6B 5J3 Canada.

Peter Bobrowsky (P)

Geological Survey of Canada, 9860 West Saanich Road, Sidney, British Columbia V8L 4B2 Canada.

Roger Macleod (R)

Geological Survey of Canada, 9860 West Saanich Road, Sidney, British Columbia V8L 4B2 Canada.

Robert Cocking (R)

Geological Survey of Canada, 1500-605 Robson Street, Vancouver, British Columbia V6B 5J3 Canada.

Jamel Joseph (J)

Geological Survey of Canada, 1500-605 Robson Street, Vancouver, British Columbia V6B 5J3 Canada.

Drew Rotheram-Clarke (D)

Geological Survey of Canada, 1500-605 Robson Street, Vancouver, British Columbia V6B 5J3 Canada.

Classifications MeSH