The Study On Spectral Change Of Vegetation Under Cu Stress And Estimation Models For Copper Contents

The plant information takes a great part of the information of remote sensingimage and covers the earth’s surface’s weak mineralization information for the highvegetation-covered area. The development of the biogeochemical remote sensing cansolve this problem. Hyperspectral remote sensing data can be applied to detectdifferent materials accurately due to it’s high spectral resolution. The ore-formingelement can enter into plant body through the absorption of the plant root， and thentransports upwards to the canopy and leaves. The element accumulates in the plantbody and affects the structure and constitution of the leaves. So we can detect theweak mineralization information through the plant hyperspectral remote sensing data.This paper aims to study the change rules of the leaves spectral data under copperstresses， and deduce the metal element content thorough plant spectral data and it’stransformation and characteristic parameters. The result shows that：（1） there aresome characteristic bands and parameters which can invert the element contents，some results of which are comparatively well；（2） we process and analyze thehyperspectral data（Field Imaging Spectrometer System， FISS） comprehensively，and consider that FISS can be used to detect the plant spectral change rules ofdifferent leaves， achieving the purpose of the FISS application to plant spectralchange rules， which broaden the application field of FISS.