Benoit Rivard
University of Alberta
127 Papers
509 Citations
Benoit Rivard is an academic researcher from University of Alberta. The author has contributed to research in topics: Hyperspectral imaging & Endmember. The author has an hindex of 40, co-authored 125 publications.
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Papers
Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land product validation subgroup
Jeffrey T. Morisette,Frédéric Baret,Jeffrey L. Privette,Ranga B. Myneni,Jaime Nickeson,Sébastien Garrigues,N.V. Shabanov,Marie Weiss,Richard Fernandes,Sylvain G. Leblanc,Margaret Kalacska,G.A. Sanchez-Azofeifa,M. Chubey,Benoit Rivard,Pauline Stenberg,Miina Rautiainen,Pekka Voipio,Terhikki Manninen,A. N. Pilant,T.E. Lewis,John S. Iiames,Roberto Colombo,Michele Meroni,Lorenzo Busetto,Warren B. Cohen,David P. Turner,E.D. Warner,G.W. Petersen,Guenther Seufert,Robert B. Cook +29 more
TL;DR: In this paper, the authors describe the main components of this international validation effort, including the current participants, their ground LAI measurements and scaling techniques, and the metadata and infrastructure established to share data.
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Integration of spatial–spectral information for the improved extraction of endmembers
TL;DR: The spatial–spectral endmember extraction tool (SSEE) works by analyzing a scene in parts (subsets), such that it increases the spectral contrast of low contrast endmembers, thus improving the potential for these endmembers to be selected.
289
Intra- and inter-class spectral variability of tropical tree species at La Selva, Costa Rica: Implications for species identification using HYDICE imagery
TL;DR: In this article, the authors examined crown-level spectral variation within and between species using hyperspectral digital collection experiment (HYDICE) data collected over La Selva, Costa Rica, and found that wavelet coefficients at coarse spectral scales and wavelet energy feature are more capable of reducing variation within crowns/species and capturing spectral differences between species.
241
Spectroscopic determination of leaf water content using continuous wavelet analysis
TL;DR: In this article, a continuous wavelet transform was performed on each of the reflectance spectra to generate a wavelet power scalogram compiled as a function of wavelength and scale.
225
Variability in leaf optical properties of Mesoamerican trees and the potential for species classification
TL;DR: In this paper, the authors examined the spectral reflectance of Mesoamerican trees for three applications: (1) to compare the magnitude of within and between-species variability in leaf reflectance, (2) to determine the potential for species identification, and (3) to test the strength of relationships between leaf traits (chlorophyll content, mesophyll attributes, thickness) and leaf spectral reflectances.
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