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John R. Miller

John R. Miller

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Environmental Sciences
Canada
2023

D-Index & Metrics

Environmental Sciences

D-Index
59
Citations
18513
World Ranking
3027
National Ranking
129

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in Canada Leader Award

Overview

John R. Miller is affiliated with York University in Canada and conducts research primarily in Earth and Planetary Sciences as well as Environmental Science. Their work spans topics related to the physical environment and its changes, with special attention to climate-related phenomena and geological aspects.

The scientist's research involves several specialized subfields, including Atmospheric Science, Geology, and Environmental Chemistry. These areas contribute to a multifaceted understanding of environmental processes and their implications, particularly concerning climate and geological systems.

Their scholarly contributions focus on themes such as:

  • Climate change and permafrost
  • Geological Studies and Exploration
  • Methane Hydrates and Related Phenomena

One documented publication by John R. Miller is titled "Elevation-dependent warming in the Eastern Siberian Arctic", published in 2021 in the journal Environmental Research Letters. This work has received citations in subsequent related research, indicating engagement with ongoing scientific discussions in the area of Arctic climate warming.

John R. Miller collaborates with other researchers frequently, including John E. Fuller and Michael J. Puma. Such joint efforts illustrate interdisciplinary and cooperative research dynamics.

Their contributions have appeared in specific publication venues, notably Environmental Research Letters, where they have at least one article to their credit.

Best Publications

  • Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture

    Driss Haboudane;John R. Miller;John R. Miller;Elizabeth Pattey;Pablo J. Zarco-Tejada

  • Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture

    Driss Haboudane;John R. Miller;John R. Miller;Nicolas Tremblay;Pablo J. Zarco-Tejada

  • Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data

    P.J. Zarco-Tejada;J.R. Miller;T.L. Noland;G.H. Mohammed

  • Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy

    P.J. Zarco-Tejada;A. Berjón;R. López-Lozano;J.R. Miller

  • Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress.

    Gina H. Mohammed;Roberto Colombo;Elizabeth M. Middleton;Uwe Rascher

  • Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops

    Pablo J. Zarco-Tejada;John R. Miller;Arturo Morales;A. Berjón

  • Comparison of in situ and airborne spectral measurements of the blue shift associated with forest decline

    B. N. Rock;T. Hoshizaki;J. R. Miller

  • Determining digital hemispherical photograph exposure for leaf area index estimation

    Yongqin Zhang;Jing M. Chen;John R. Miller

  • Quantitative characterization of the vegetation red edge reflectance 1. An inverted-Gaussian reflectance model

    J. R. Miller;E. W. Hare;J. Wu

  • Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data

    D. Haboudane;N. Tremblay;J.R. Miller;P. Vigneault

  • Imaging chlorophyll fluorescence with an airborne narrow-band multispectral camera for vegetation stress detection

    Pablo J. Zarco-Tejada;J.A.J. Berni;Lola Suarez;G. Sepulcre-Cantó

  • Assessing canopy PRI for water stress detection with diurnal airborne imagery

    L. Suárez;P.J. Zarco-Tejada;G. Sepulcre-Cantó;O. Pérez-Priego

  • Chlorophyll Fluorescence Effects on Vegetation Apparent Reflectance: I. Leaf-Level Measurements and Model Simulation

    Pablo J. Zarco-Tejada;John R. Miller;Gina H. Mohammed;Thomas L. Noland

  • Comparative study between a new nonlinear model and common linear model for analysing laboratory simulated-forest hyperspectral data

    Wenyi Fan;Baoxin Hu;John Miller;Mingze Li

  • Vegetation stress detection through chlorophyll a + b estimation and fluorescence effects on hyperspectral imagery.

    Pablo J. Zarco-Tejada;John R. Miller;G. H. Mohammed;Thomas L. Noland

  • Leaf chlorophyll content retrieval from airborne hyperspectral remote sensing imagery

    Yongqin Zhang;Jing M. Chen;John R. Miller;Thomas L. Noland

  • Needle chlorophyll content estimation through model inversion using hyperspectral data from boreal conifer forest canopies

    Pablo J. Zarco-Tejada;John R. Miller;John R. Miller;John Harron;Baoxin Hu;Baoxin Hu

  • Chlorophyll fluorescence effects on vegetation apparent reflectance: II. laboratory and airborne canopy-level measurements with hyperspectral data.

    Pablo J Zarco-Tejada;John R Miller;Gina H Mohammed;Thomas L Noland

  • Estimating crop stresses, aboveground dry biomass and yield of corn using multi-temporal optical data combined with a radiation use efficiency model

    Jiangui Liu;Elizabeth Pattey;John R. Miller;Heather McNairn

  • Seasonal patterns in leaf reflectance red-edge characteristics

    J.R. Miller;Jiyou Wu;M.G. Boyer;M. Belanger

Frequent Co-Authors

Pablo J. Zarco-Tejada
Pablo J. Zarco-Tejada Spanish National Research Council
Jing M. Chen
Jing M. Chen University of Toronto
Jose Moreno
Jose Moreno University of Valencia
Nicolas Tremblay
Nicolas Tremblay Grain Research Centre
Elizabeth Pattey
Elizabeth Pattey Agriculture and Agriculture-Food Canada
Michael E. Schaepman
Michael E. Schaepman University of Zurich
Massimo Menenti
Massimo Menenti Delft University of Technology
Michel M. Verstraete
Michel M. Verstraete University of the Witwatersrand
Frédéric Baret
Frédéric Baret INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Wolfgang Knorr
Wolfgang Knorr Lund University

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