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TitleRemote sensing as a geological mapping tool in the Arctic: preliminary results for Baffin Island, Nunavut
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LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorHarris, J R; Eddy, B; Rencz, A; de Kemp, EORCID logo; Budkewitsch, P; Peshko, M
SourceGeological Survey of Canada, Current Research (Online) no. 2001-E12, 2001, 20 pages, https://doi.org/10.4095/212696 Open Access logo Open Access
Image
Year2001
PublisherNatural Resources Canada
Documentserial
Lang.English
Mediapaper; on-line; digital; CD-ROM
RelatedThis publication is contained in Current Research 2001, summer release
File formatpdf
ProvinceNunavut
NTS25K; 25N; 25J
AreaIncognita Peninsula; Baffin Island; McKellar Bay
Lat/Long WENS-70.0000 -67.0000 63.5000 62.5000
Subjectsmathematical and computational geology; remote sensing; satellite imagery; mapping techniques
IllustrationsLandsat images; Radarsat images; tables
ProgramCentral Baffin 4-D Project
Released2001 08 01
AbstractA study involving the application of remote sensing technology for geological mapping in arctic environments has been initiated in southern Baffin Island. Various remotely sensed imagery, characterized by different wavelengths and spatial and spectral resolutions, have been or is presently being acquired. This area has been chosen as it represents a typical arctic geological and biophysical environment. It has a variety of lithologies ranging from gneissic and/or granitoid basement rocks to rift-related volcanic and sedimentary rocks to younger overlying Paleozoic sediments, and has been mapped on a regional scale (1:100 000) by the Geological Survey of Canada.Particularly relevant for this project is the recent advancement of hyperspectral remote-sensing technology. Eleven lines of high-resolution hyperspectral data have been acquired using the Noranda Probe sensor over the study area. Preliminary results indicate that the optical sensors (Landsat TMand Probe) provide useful information with respect to compositional layering, structural patterns, and vegetation.
GEOSCAN ID212696

 
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