RT Journal Article
T1 Determining optimum wavelengths for leaf water content estimation from reflectance: A distance correlation approach
A1 Ordóñez Galán, Celestino
A1 Oviedo de la Fuente, Manuel
A1 Roca Pardiñas, Javier
A1 Rodríguez Pérez, José Ramón
K1 Vineyard
K1 Water content
K1 Distance correlation
K1 Functional analysis
K1 Design points
AB This paper proposes a method to estimate leaf water content from reflectance in four commercial vineyard varieties by estimating the local maxima of a distance correlation function. First, it applies four different functional regression models to the data and compares the models to test the viability of estimating water content from reflectance. It then applies our methodology to select a small number of wavelengths (optimum wavelengths) from the continuous spectrum, which simplifies the regression problem. Finally, it compares the results to those obtained by means of two different methods: a nonparametric kernel smoothing for variable selection in functional data and a wavelet-based weighted LASSO functional linear regression. Our approach proved to have some advantages over these two testing approaches, mainly in terms of the computing time and the lack of assumption of an underlying model. Finally, the paper concludes that estimating water content from a few wavelengths is almost equivalent to doing so using larger wavelength intervals
PB Elsevier
SN 0169-7439
YR 2018
FD 2018
LK http://hdl.handle.net/10347/18531
UL http://hdl.handle.net/10347/18531
LA eng
NO Ordóñez, C., Oviedo de la Fuente, M., Roca-Pardiñas, J., & Rodríguez-Pérez, J. (2018). Determining optimum wavelengths for leaf water content estimation from reflectance: A distance correlation approach. Chemometrics And Intelligent Laboratory Systems, 173, 41-50. doi: 10.1016/j.chemolab.2017.12.001
NO This study was made possible withfinancial funding from: a) FC-15-GRUPIN14-033 of the Fundaci on para el Fomento en Asturias de la Investigación Científica Aplicada y la Tecnología (FICYT) (Spain), with FEDER support included, b) Ministry of Economy and Competitiveness (MTM2016-76969P) and European Regional Development Fund, b) Spanish Ministry of Economy and Competitiveness (Grant numbers MTM2013-41383-P and MTM2016-76969-P) and European Regional Development  Fund  (ERDF).  c) Grupo  de  Referencia  Competitiva,2016–2019 (ED431C 2016/040),financiado pola Consellería de Cultura,Educación e Ordenación Universitaria, Xunta de Galicia
DS Minerva
RD 25 abr 2026