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TitleRemote predictive mapping of bedrock geology using image classification of Landsat and SPOT data, western Minto Inlier, Victoria Island, Northwest Territories, Canada
AuthorBehnia, P; Harris, J R; Rainbird, R HORCID logo; Williamson, M CORCID logo; Sheshpari, M
Source33rd Canadian Symposium on Remote Sensing, abstracts; by Canadian Symposium on Remote Sensing; 2012 p. 11 Open Access logo Open Access
LinksOnline - En ligne
LinksAbstracts (PDF, 1.22 MB)
Alt SeriesEarth Sciences Sector, Contribution Series 20140074
Meeting33rd Canadian Symposium on Remote Sensing; Ottawa; CA; June 11-14, 2012
Mediaon-line; digital
File formatpdf
ProvinceNorthwest Territories
NTS87F/14; 87G/02; 87G/03; 87G/08; 87G/09; 87G/10; 87G/11; 87G/15
AreaVictoria Island; Minto Inlier
Lat/Long WENS-119.6667 -114.9500 71.8000 70.6667
Subjectsgeophysics; stratigraphy; remote sensing; satellite imagery; computer mapping; mapping techniques; bedrock geology
ProgramGEM: Geo-mapping for Energy and Minerals GEM Tri-Territorial Information management & Databases (Remote Predictive Mapping / Mineral Resource Assessment)
AbstractSupervised classification of LANDSAT-7 and SPOT-5 data was used to analyze the bedrock geology of a part of the western Minto Inlier on Victoria Island, Canada. Six bedrock classes including gabbro, basalt, carbonate of the Wynniatt Formation, quartz-arenite of the Kuujjua Formation, evaporite of the Minto Inlet and Kilian formations, and Paleozoic carbonate together with six surficial classes including vegetation, were defined as the training dataset. The resulting classified images derived from the LANDSAT and SPOT data are very similar in terms of the regional distribution of lithological classes, as reflected by fairly high classification accuracies for both image types. Gabbro and basalt, despite having a similar mineralogical composition are spectrally distinct throughout most of the study area. Complicating spectral signatures of overlying glacial sediments and/or other overburden materials and spectral similarities between some of the lithologies caused poorer classification in some areas. Generally the LANDSAT imagery provided better spectral separability between most of the lithological units than the SPOT imagery. However, in certain areas where the spectral separation between different lithologies is not dependant on the SWIR-2 (band 7 on LANDSAT) and/or blue bands (band 1 on LANDSAT), the SPOT imagery provided a better classification because of higher spatial resolution.

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