Filters: Author is Rivard, B.  [Clear All Filters]
Book Chapter
B. Rivard, Feng, J., Gallie, A., and Francis, H., Application of TIR spectroscopy to underground mining, in Brazil 2000; 31st international geological congress; abstracts volume, vol. 31, [International Geological Congress], [location varies], International, 2000.
GeoRef, Copyright 2018, American Geological Institute.2004-050420
J. Feng, Rivard, B., and Gallie, A., Estimating bulk chemistry and modal mineralogy of igneous cores using thermal infrared spectroscopy, in Geological Association of Canada - Mineralogical Association of Canada Joint Annual Meeting Abstracts, vol. 29, Geological Association of Canada, Waterloo, ON, Canada, 2004, p. 308.
GeoRef, Copyright 2018, American Geological Institute.2011-080981
J. Feng, Rivard, B., Gallie, A., and Cloutis, E., Feature selection and broad band bitumen content estimation of Athabasca oil sand from infrared reflectance spectra, in WHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, August 26, 2009 - August 28, 2009, Grenoble, France: IEEE Computer Society, 2009, p. ANR; et al.; INRIA; Laboratoire de Planetologie; Laboratoire Jean Kuntzmann; Taylor and Francis.
Compilation and indexing terms, Copyright 2018 Elsevier Inc.20095212569398Athabasca oil sandsBitumen extractionBroad bandsHyperspectral DataInfrared reflectance spectraReflectance spectroscopySpectral featureSpectral variability
Conference Proceedings
C. Taylor, Ross, M., Perrouty, S., Lypaczewski, P., Rivard, B., Clark, J., Linnen, R., Olivo, G., and Taves, R., Defining the glacial dispersion of the Canadian Malartic stockwork-disseminated Au deposit through hyperspectral imaging analysis of surficial clasts, PDAC-SEG Student Minerals Colloquium. Toronto, ON, 2018.
C. E. Taylor, Ross, M., Perrouty, S., Lypaczewski, P., Rivard, B., Clark, J. R., Linnen, R. L., Olivo, G. R., and Taves, R., Defining the glacial dispersion of the Canadian Malartic stockwork-disseminated Au deposit through hyperspectral imaging analysis of surficial clasts, PDAC-SEG Student Minerals Colloquium. Toronto, ON, 2018.
C. Taylor, Ross, M., Perrouty, S., Lypaczewski, P., Rivard, B., Clark, J., Linnen, R., and Taves, R., Detecting increasingly larger exploration footprints of a world-class stockwork-disseminated Au deposit: integration of hyperspectral imaging and petrography of glacial clasts in surficial sediments, Geological Association of Canada - Mineralogical Association of Canada Joint Annual Meeting, vol. 41. Vancouver, BC, 2018.
S. Perrouty, Linnen, R. L., Gaillard, N., Clark, J. R., L-Bérubé, C., Lypaczewski, P., Mir, R., Olivo, G., Lesher, C. M., Piercey, S. J., Williams-Jones, A. E., Chouteau, M., Rivard, B., and Enkin, R. J., Integrated Multi-Parameter Footprints of the Canadian Malartic Gold Deposit, QC, Canada, 14th Biennial SGA Meeting. Québec City, 2017.
Journal Article
B. Rivard, Lyder, D., Feng, J., Gallie, A., Cloutis, E., Dougan, P., Gonzalez, S., Cox, D., and Lipsett, M. G., Bitumen content estimation of Athabasca oil sand from broad band infrared reflectance spectra, Canadian Journal of Chemical Engineering, vol. 88, pp. 830-838, 2010.
Compilation and indexing terms, Copyright 2018 Elsevier Inc.20110913708072Athabasca oil sandsBitumenHyperspectral reflectanceIncremental improvementsInfluence of waterInfrared reflectance spectraLaboratory methodsReflectance spectrum
E. A. Gallie, McArdle, S., Rivard, B., and Francis, H., Estimating sulphide ore grade in broken rock using visible/infrared hyperspectral reflectance spectra, International Journal of Remote Sensing, vol. 23, pp. 2229-2246, 2002.
GeoRef, Copyright 2018, American Geological Institute.2002-062178hydroxyl grouphyperspectral data
D. Lyder, Feng, J., Rivard, B., Gallie, A., and Cloutis, E., Remote bitumen content estimation of Athabasca oil sand from hyperspectral infrared reflectance spectra using Gaussian singlets and derivative of Gaussian wavelets, Fuel, vol. 89, pp. 760-767, 2010.
Compilation and indexing terms, Copyright 2018 Elsevier Inc.20095112553158Athabasca oil sandsBitumenClassical least squaresDerivative of GaussianHyperspectral reflectanceInfrared reflectance spectraL1 optimizationsShort wave infrared
E. A. Gallie, Lyder, D. A., Rivard, B., and Cloutis, E. A., Technical Note: Equivalence of modified Gaussian model (MGM) in wavenumber and Gaussian in wavelength for deconvolution of hyperspectral reflectance spectra, International Journal of Remote Sensing, vol. 29, pp. 4089-4096, 2008.
Compilation and indexing terms, Copyright 2018 Elsevier Inc.20082811362956Absorption featuresEarth observationsFundamental bandsGaussian analysisHyperspectral reflectanceModified gaussian modelsPlanetary remote sensingReflectance spectrum