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TitleRemote predictive mapping of surficial materials west of Repulse Bay, Nunavut (NTS 46M-SW, 46L-W and -S, 46K-SW)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorWityk, U; Harris, J R; McMartin, IORCID logo; Campbell, J E; Ross, MORCID logo; Grunsky, E
SourceGeological Survey of Canada, Open File 7357, 2013, 24 pages, Open Access logo Open Access
PublisherNatural Resources Canada
Documentopen file
Mediadigital; on-line
File formatreadme
File formatpdf; rtf; xml; shp; xls; docx; jpg
NTS46K/04; 46L; 46M/03; 46M/04; 46M/05; 46M/06; 46M/12
AreaRepulse Bay; Committee Bay; Wager Bay
Lat/Long WENS-84.0000 -82.0000 67.7500 66.0000
Subjectssurficial geology/geomorphology; remote sensing; satellite imagery; glacial deposits; glacial features; landforms; terrain types; mapping techniques; airphoto interpretation; glacial landforms; LANDSAT 7; Cenozoic; Quaternary
Illustrationslocation maps; tables; flow charts; satellite images; plots
ProgramGEM: Geo-mapping for Energy and Minerals Multiple Metals - Melville Peninsula (Nunavut)
Released2013 05 15
AbstractCanada's vast northern territories require an efficient and timely method to create surficial geology maps. Due to the convenient availability of remotely sensed imagery, it is effective to develop and test this resource by using various automatic and remote approaches to assist with the production of surficial geology maps.
The goal of this remote predictive mapping (RPM) effort is to generate a map of surficial materials, in turn accelerating traditional mapping efforts, which use fieldwork, sampling and other resources. This report describes techniques used to create a remote predictive surficial materials map near Repulse Bay in Nunavut using classification algorithms applied to LANDSAT imagery, and tests two approaches in the iterative RPM process. The approaches are: 1) geological knowledge-based, incorporating expert knowledge and traditional mapping data, and 2) statistically-based, investigating statistical accuracies of the classifications. Based on variability maps of the most optimal classification maps, it was found that the geological knowledge-based approach is more suitable for remotely mapping materials in the study area.
Summary(Plain Language Summary, not published)
Surficial materials left by the retreat of the last glaciers were mapped near the community of Repulse Bay, central mainland Nunavut. The surficial mapping is based on the interpretation and classification of remote sensing data, and data acquired during fieldwork. The work was undertaken to provide new geological knowledge of the distribution and nature of surficial materials and will support informed decision making for resource development and land use. This work is part a graduate research project from University of Waterloo, conducted under the Melville Peninsula Project at the Geological Survey of Canada, as part of Natural Resources Canada¿s Geo-mapping for Energy and Minerals (GEM) Program.

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