Effects of spectral transformations in statistical modeling of leaf biochemical concentrations

The prediction of leaf biochemical concentrations with hyperspectral data is one of latest research directions in hyperspectral remote sensing. Statistical modeling being a convenient and common-used method, spectral transformations are always performed as its preprocess. We discussed several usual transformations including full-band based transformations such as reciprocal, logarithm, and derivative spectra, and one-absorption-feature based transformation: continuum removal. The effects of those transformations on the prediction of C/N were compared using correlation analyses and stepwise regressions. Results show that the effect of continuum removal is the best, which is physically based and not site-specific at all.

[1]  W. Verhoef.  Light scattering by leaf layers with application to canopy reflectance modeling: The Scattering by Arbitrarily Inclined Leaves (SAIL) model , 1984 .

[2]  R. Clark,et al.  Reflectance spectroscopy: Quantitative analysis techniques for remote sensing applications , 1984 .

[3]  N. Goel.  Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data , 1988 .

[4]  F. Baret,et al.  PROSPECT: A model of leaf optical properties spectra , 1990 .

[5]  C. Elvidge.  Visible and near infrared reflectance characteristics of dry plant materials , 1990 .

[6]  Analyses of Forest Foliage I: Laboratory Procedures for Proximate Carbon Fractionation and Nitrogen Determination , 1994 .

[7]  B. Yoder,et al.  Predicting nitrogen and chlorophyll content and concentrations from reflectance spectra (400–2500 nm) at leaf and canopy scales , 1995 .

[8]  S. Ustin,et al.  Estimating leaf biochemistry using the PROSPECT leaf optical properties model , 1996 .

[9]  Mary E. Martin,et al.  Determination of carbon fraction and nitrogen concentration in tree foliage by near infrared reflectance : a comparison of statistical methods , 1996 .

[10]  P. Curran,et al.  LIBERTY—Modeling the Effects of Leaf Biochemical Concentration on Reflectance Spectra , 1998 .

[11]  R. Clark,et al.  Spectroscopic Determination of Leaf Biochemistry Using Band-Depth Analysis of Absorption Features and Stepwise Multiple Linear Regression , 1999 .

[12]  Niu Zheng,et al.  Mechanism Analysis of Leaf Biochemical Concentration by High Spectral Remote Sensing , 2000 .

[13]  Raymond F. Kokaly,et al.  Investigating a Physical Basis for Spectroscopic Estimates of Leaf Nitrogen Concentration , 2001 .

[14]  J. Peñuelas,et al.  Remote sensing of nitrogen and lignin in Mediterranean vegetation from AVIRIS data: Decomposing biochemical from structural signals , 2002 .

[15]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.