Vegetation state estimation based on the fourier analysis of remote sensing data

Abstract

An approach to vegetation state estimation based on the Fourier transform of the leaves' reflection spectra, correlation and regression analysis is presented. The interrelation between the coefficients of the spectral density and the total concentration of chlorophyll in the leaves is investigated. The results of numerical modeling and comparative analysis of the experimental data are shown.

Keywords

• remote sensing
• Fourier transform
• correlation analysis
• regression analysis
• vegetation state