E
Elizabeth Pattey
Researcher at Agriculture and Agri-Food Canada
Publications - 123
Citations - 7690
Elizabeth Pattey is an academic researcher from Agriculture and Agri-Food Canada. The author has contributed to research in topics: Leaf area index & Eddy covariance. The author has an hindex of 42, co-authored 118 publications receiving 6800 citations. Previous affiliations of Elizabeth Pattey include Laval University.
Papers
More filters
Journal ArticleDOI
Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
D. Haboudane,John R. Miller,John R. Miller,Elizabeth Pattey,Pablo J. Zarco-Tejada,Ian B. Strachan +5 more
TL;DR: In this paper, a method for minimizing the effect of leaf chlorophyll content on the prediction of green LAI was presented, and new algorithms that adequately predict the LAI of crop canopies.
Journal ArticleDOI
Spatial and temporal variability of soil respiration in agricultural fields
TL;DR: In this article, chamber measurements of CO2 evolution were made on bare soil, and in maize (1988) and wheat (1989) crops in order to study the spatial and temporal variability of soil respiration (Rsoil).
Journal ArticleDOI
Impact of nitrogen and environmental conditions on corn as detected by hyperspectral reflectance
TL;DR: In this paper, the authors used hyperspectral reflectance spectra derived from ground-level ground-based measurements to demonstrate the temporal patterns in corn development under imposed fertility (N rate) and environmental (water availability) stresses.
Journal ArticleDOI
Soils as sources and sinks for atmospheric methane.
Edward Topp,Elizabeth Pattey +1 more
TL;DR: In the absence of oxygen, methane is a significant greenhouse gas as discussed by the authors, and it is produced in soils as the end product of the anaerobic decomposition of organic matter.
Journal ArticleDOI
Assessment of vegetation indices for regional crop green LAI estimation from Landsat images over multiple growing seasons
TL;DR: In this article, a regression model was used to estimate the green LAI of field crops from optical remote sensing data using a few vegetation indices, including the normalized difference vegetation index, the optimized soil adjusted vegetation index (OSAVI), the two band enhanced vegetation index(EVI2), and the modified triangular vegetation indices (MTVI2), with a coefficient of determination above 0.83.