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TitreRemote predictive mapping of bedrock geology using image classification of Landsat and SPOT data, western Minto Inlier, Victoria Island, Northwest Territories, Canada
AuteurBehnia, P; Harris, J R; Rainbird, R H; Williamson, M C; Sheshpari, M
Source33rd Canadian Symposium on Remote Sensing, abstracts; par Canadian Symposium on Remote Sensing; 2012 p. 11
Année2012
Séries alt.Secteur des sciences de la Terre, Contribution externe 20140074
Réunion33rd Canadian Symposium on Remote Sensing; Ottawa; CA; juin 11-14, 2012
Documentlivre
Lang.anglais
Mediaen ligne; numérique
Formatspdf
ProvinceTerritoires du Nord-Ouest
SNRC87F/14; 87G/02; 87G/03; 87G/08; 87G/09; 87G/10; 87G/11; 87G/15
Lat/Long OENS-119.6667 -114.9500 71.8000 70.6667
Sujetstélédétection; imagerie par satellite; cartographie par ordinateur; techniques de cartographie; géologie du substratum rocheux; géophysique; stratigraphie
ProgrammeBases de données couvrant les trois territoires (la télécartographie prédictive), GEM : La géocartographie de l'énergie et des minéraux
LiensAbstracts (PDF, 1.22 MB)
LiensOnline - En ligne
Résumé(disponible en anglais seulement)
Supervised 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.
GEOSCAN ID294578