A Method for Inverting Chlorophyll Content of Wheat Using Hyperspectral

In recent years, hyperspectral technology of Remote Sensing have been developing rapidly, which provides plentiful data sources for getting some physiological parameters for crops. This paper, which based on Partial Least Squares Regression Method, established the spectra model between chlorophyll content and the canopy spectra of wheat, using the hyperspectral data of wheat getted in Xiaotangshan. The results indicated that chlorophyll content of wheat was highly relative to the hyperspectral from 350 nm to (1 060 nm.) The research provides an effective method to estimate chlorophyll content for hyperspectral of wheat.