Spectral Characteristics and the Regression Model of Mine Vegetation in the Press of Heavy Metal

摘要

Vegetation reflectance spectra curve in field with spectrometer to be tested in this study, used eight kinds of spectral parameters to analysis spectral curve of vegetation, six kinds of heavy metal content in plant leaves to be measured, then the regression model from the spectral characteristic parameters to the heavy metal content can be built, according to this can inverse heavy metal content with spectral parameters, further analysis the pollution extent of mine vegetation. Sampling areas were polluted by Cr more seriously, secondly was Ni. The 4 point was polluted most seriously by the heavy metal; the regression equations of Pb, Cu, Zn heavy metals had high correlation coefficient. The red valley area and the water absorption area with the Zn content in leaves had a high linear correlation, the red valley depth and the water absorption depth with the Cu content in leaves had a high linear correlation.