Clayton C. Kingdon

Loyola University Chicago — United States

Environmental Science · Physical Sciences

10h-index1.7kcitations30works0.02yr avg
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Research Topics

Remote Sensing in Agriculture(15), Spectroscopy and Chemometric Analyses(7), Leaf Properties and Growth Measurement(5), Plant Water Relations and Carbon Dynamics(4), Species Distribution and Climate Change(4)

Publications30 total

Active remote sensing data and dispersal processes improve predictions for an invasive aquatic plant during a climatic extreme in Great Lakes coastal wetlands
Journal of Environmental Management·2024
Active Remote Sensing Data and Dispersal Processes Improve Predictions for an Invasive Aquatic Plant During a Climatic Extreme in Great Lakes Coastal Wetlands
SSRN Electronic Journal·2024Open Access
Using foliar spectral properties to assess the effects of drought on plant water potential
Tree Physiology·2017· 57 citedOpen Access
Associations of Leaf Spectra with Genetic and Phylogenetic Variation in Oaks: Prospects for Remote Detection of Biodiversity
Remote Sensing·2016· 186 citedOpen Access
Supplement 2. Simplified R script file illustrating the calibration of the dry spectra PLSR models and associated uncertainty analysis.
Figshare·2016Open Access
Supplement 1. The resulting PLSR model coefficients (and their uncertainties) for predicting foliar traits using leaf-level dried and ground spectral reflectance data.
Figshare·2016Open Access
Spectroscopy: an efficacious approach for better understanding of stress responses of Mediterranean plants
CINECA IRIS Institutial research information system (University of Pisa)·2016
Supplement 1. Locations of field plots, plot-scale foliar chemical and morphological traits, results of leave-site-out and leave-year-out model cross-validations, and PLSR model coefficients.
Figshare·2016· 1 citedOpen Access
Appendix A. List of tree species and their estimated functional trait values.
Figshare·2016Open Access
Supplement 1. Locations of field plots, plot-scale foliar chemical and morphological traits, results of leave-site-out and leave-year-out model cross-validations, and PLSR model coefficients.
Figshare·2016Open Access
Appendix B. Analysis of the partial least-squares regression (PLSR) model residuals.
Figshare·2016Open Access
Appendix A. Comparisons of model accuracies with literature, species-wise estimates of canopy foliar traits,comparisons of models built with different canopy weighing schemes, comparisons of spatial predictions of foliar traits.
Figshare·2016Open Access
Next Generation UAV Based Spectral Systems for Environmental Monitoring: project developments, preliminary outcome and findings
2015 AGU Fall Meeting·2015
Next Generation UAS Based Spectral Systems for Environmental Monitoring
NASA Technical Reports Server (NASA)·2015
Remotely estimating photosynthetic capacity, and its response to temperature, in vegetation canopies using imaging spectroscopy
Remote Sensing of Environment·2015· 180 citedOpen Access
Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties
Ecological Applications·2015· 262 citedOpen Access
Imaging spectroscopy links aspen genotype with below-ground processes at landscape scales
Philosophical Transactions of the Royal Society B Biological Sciences·2014· 99 citedOpen Access
Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species
Ecological Applications·2014· 352 citedOpen Access
Spectral Data Captures Important Variability Between and Among Species and Functional Types
AGU Fall Meeting Abstracts·2013
Scaling, propagating and mapping uncertainty in spectroscopy-derived foliar traits from the leaf to the image
AGU Fall Meeting Abstracts·2013
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Frequent Co-authors

Philip A. Townsend(26), Shawn Serbin(16), Aditya Singh(15), Brenden E. McNeil(12), John J. Couture(5), Eric L. Kruger(4), Keith N. Eshleman(3), George E. Pilz(3), Kirsten M. de Beurs(2), Jeannine Cavender‐Bares(2), Ankur R. Desai(2), Sean DuBois(2), Jane R. Foster(2), Todd R. Lookingbill(2), Lorenzo Cotrozzi(2), Cristina Nali(2), Petya Campbell(2), Dan Mandl(2), R. A. Sohlberg(2), Lawrence A. Corp(2)