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TitleAn emerging paradigm for surifical mapping of Arctic Canada at the Geological Survey of Canada
 
AuthorRussell, H A JORCID logo; Harris, J R
SourceProceedings of the Joint Annual Meeting of Geological Association of Canada, the Mineralogical Association of Canada, the Society of Economic Geologists and the Society for Geology Applied to Mineral Deposits ; Geological Association of Canada-Mineralogical Association of Canada, Joint Annual Meeting, Programs with Abstracts 2011. Open Access logo Open Access
LinksOnline - En ligne
Year2011
Alt SeriesNatural Resources Canada, Contribution Series 20170149
PublisherGeological Association of Canada
MeetingJoint Annual Meeting of GAC, MAC, SEG and the Society for Geology Applied to Mineral Deposits; Ottawa; CA; May 25-27, 2011
Documentserial
Lang.English
Mediapaper; on-line; digital
File formathtml
Subjectssurficial geology/geomorphology; general geology; mapping techniques; geological surveys; remote sensing; airphoto interpretation; LANDSAT; Remote Predictive Mapping (RPM); MERIS
ProgramGEM: Geo-mapping for Energy and Minerals, GEM Tri-Territorial Information management & Databases (Remote Predictive Mapping / Mineral Resource Assessment)
AbstractAerial photographic interpretation has been the cornerstone of surficial geological map production at the Geological Survey of Canada for 80 years. Developments in the past 20 years in computing technology, remote sensing, and digital elevation models is affording the opportunity for increased automation of the mapping process. This technological evolution has occurred at the same time that the mapping capacity of the GSC has been decreased by half of the 1970-1980's capacity. Consequently, to continue to meet the demand for map products new mapping methods are required. Traditionally, surficial mapping in arctic Canada has been undertaken at a scale of 1:250,000 that incorporate a genetic surficial material legend, landform mapping and iceflow history defined by landform analysis and field measurements (striations). Traditional maps based on stereo aerial photographic interpretation rely on analysis of tone, relief and spatial arrangement (pattern) in concert with field observations. This analysis relies on three elements, whereas traditional spectral image classification (Landsat) has been analysed based only on spectral response alone (tone). Within the Remote Predictive Mapping (RPM) project of Geo-Mapping for Energy and Minerals Program (GEMS) a methodology and data handling framework is being developed to enhance the GSC's mapping capabilities within the traditional field based 1:250000 scale mapping framework and also to provide improved synoptic scale mapping. With respect to RPM research, a variety of experiments are being undertaken using optical radar and topographic datasets to produce predictive surficial material maps over the Shultz Lake NTS 66A mapsheet, which is functioning as a test area for RPM. At regional scales mapping is reliant on public domain data and the emphasis within RPM is on improving classification and modelling approaches using this public domain and easy accessible data such as Landsat and MERIS complemented by topographic (CDED) data. A variety of statistical approaches are being experimented with to produce predictive surficial maps including advanced pixel and object based classification methods that rely on training areas of representative surficial material types. Legacy data are being employed as training datasets to advance landform analysis. Progress has been made in the quantitative analysis of eskers in Keewatin using topographic (CDED) data. The GSC is developing a RPM research network involving College GIS programs, university researchers, provincial agencies, and federal government labs to assist in developing methods and protocols for producing predictive geological maps of broad areas of Canada's North.
GEOSCAN ID305358

 
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