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TitleLandslide change detection monitoring with a benchmarked RADARSAT Constellation Mission high temporal resolution dataset
 
AuthorHuntley, DORCID logo; Rotheram-Clarke, AORCID logo; Cocking, RORCID logo; Joseph, JORCID logo
SourceIGARSS 2021; IEEE International Geoscience and Remote Sensing Symposium proceedings 2021, 2021 p. 3309-3312
Image
Year2021
Alt SeriesNatural Resources Canada, Contribution Series 20210047
PublisherIEEE
MeetingIGARSS 2021; Brussels; BE; July 12-16, 2021
Documentserial
Lang.English
Mediaon-line; digital
File formatpdf
ProvinceBritish Columbia
NTS92I/11
AreaThompson River
Lat/Long WENS-121.3333 -121.2167 50.7167 50.6333
Subjectssurficial geology/geomorphology; environmental geology; geophysics; Science and Technology; Nature and Environment; Health and Safety; Transport; landslides; slope stability analyses; slope failures; slumps; landslide deposits; remote sensing; satellite imagery; radar methods; photogrammetric surveys; glacial deposits; tills; RADARSAT Constellation Mission (RCM); Infrastructures; Railway networks; monitoring; change detection; glaciofluvial sediments; glaciolacustrine sediments; alluvial sediments; drones
Illustrationslocation maps; satellite images; cross-sections
ProgramPublic Safety Geoscience Terrestrial Landslides
Released2021 07 01
AbstractDifferential interferometric analysis of RADARSAT Constellation Mission (RCM) synthetic aperture radar (DInSAR) datasets provides insight into the spatial and temporal distribution of landslides impacting a critical section of the national railway transportation corridor in mountainous western Canada. This study demonstrates that monitoring unstable slopes and infrastructure with RCM is a cost-effective hazard management and risk reduction tool.
Summary(Plain Language Summary, not published)
This study demonstrates that monitoring unstable slopes and national railway transportation infrastructure with RADARSAT Constellation Mission synthetic aperture radar is a cost-effective geohazard management and risk reduction tool.
GEOSCAN ID328308

 
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