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TitleSurveying a glacial dispersal train with an unmanned aerial vehicle (UAV): a case study at the Allan Lake Carbonatite
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AuthorFortin, R; Harvey, J R; Chen, C M; Coyle, M J; Sinclair, L E; McClenaghan, M B
SourceGeological Survey of Canada, Scientific Presentation 108, 2019, 1 sheet, https://doi.org/10.4095/315504 (Open Access)
Image
Year2019
PublisherNatural Resources Canada
MeetingCANQUA/AMQUA 2018: Joint meeting of the Canadian and American Quaternary Associations; Ottawa, ON; CA; August 7-11, 2018
Documentserial
Lang.English
Mediaon-line; digital
File formatpdf (Adobe® Reader®)
ProvinceOntario
NTS31L/01
AreaAlgonquin Park; Allan Lake; North Depot Lake; Windigo Lake
Lat/Long WENS -78.3333 -78.1667 46.1667 46.0000
Subjectsgeophysics; economic geology; geochemistry; surficial geology/geomorphology; Science and Technology; Nature and Environment; geophysical surveys; gamma-ray surveys, airborne; geochemical anomalies; thorium; potassium; uranium; in-field instrumentation; field methods; glacial deposits; tills; sediment dispersal; mineral exploration; exploration methods; drift prospecting; Allan Lake Carbonatite; unmanned aerial vehicles; dispersal trains; Phanerozoic; Cenozoic; Quaternary; Precambrian
Illustrationsplots; schematic representations; geoscientific sketch maps; photographs
ProgramCanadian Hazard Information Service, Canadian Hazard Information Service
Released2019 11 01
Summary(Plain Language Summary, not published)
Research related to the use of small Unmanned Aerial Vehicles, or drones, has been expanding over the last few years due to their cost-effectiveness and the existence of airspace regulations allowing their use for commercial and research applications. Their capacity to quickly survey an area unobstructed with a high level of details appears quite promising for geoscientific applications. A trial drone survey was conducted at the site of thorium-rich glacial dispersal in Algonquin Park in Ontario. The dispersal was mapped by gamma-ray spectrometry and advantages and limitations of using a drone for this application were assessed.
GEOSCAN ID315504