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TitleSpectral Unmixing for Monitoring Mine Tailings Site Rehabilitation, Copper Cliff Mine, Sudbury, Ontario
DownloadDownloads (Preprint)
 
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorLévesque, J; Szeredi, T; Staenz, K; Singhroy, V; Bolton, D
SourceTwelfth International Conference and Workshops on Applied Geologic Remote Sensing, Denver, Colorado, 17-19 November; 1997 p. 340-347, https://doi.org/10.4095/219063 Open Access logo Open Access
Year1997
Alt SeriesEarth Sciences Sector, Contribution Series 20042261
Documentbook
Lang.English
Mediapaper; on-line; digital
File formatpdf
Released1997 01 01
AbstractHyperspectral imagery from the Compact Airborne Spectrographic Imager (casi) was used to characterize sulphide mine tailings at the Copper Cliff mine in Sudbury, Ontario. The objective of the study was to evaluate the usefulness fo high spatial and spectral resolution data and their analysis techniques for characterizing mine tailings sitees and monitoring their restoration. Flight data were acquired in late August 1996 in 72 continguous 9 nm wide spectral bands from 400 nm to 950 nm along with a detailed ground survey. Image data were processed and analysed using the Imaging Spectrometer Data Anaysis System (ISDAS) developed at the Canada Centre for Remote Sensing. The image data were classified using unconstrained linear spectral unmixing. Validation of the unmixing results was achieved by correlating image fractions to fractions measured on the ground. Five end-members were selected: oxidized tailings, lime, green vegetation, fresh and contaminated water. Results show that image fractions of green vegetation and lime are well correlated with the ground fractions (r-square = 0.96 and 0.92). The lower r-squaare (0.65) of the oxidized tailings endmember could be attributed to the variable concentrations of oxidizing agents (various degrees of oxidation) in the tailings which are difficult to assess visually.
GEOSCAN ID219063

 
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