Analysis of hyperspectral characters of winter wheat under different nitrogen and water stress

Hyperspectral remote sensing is not only an important technical method in the field of global observation, but also can be used in the field of precision agriculture. Owing to hyperspectral remote sensing data whose spectrum resolution is less than 10 nm, include a mass of diagnosing spectrum information, indices derived from hyperspectral reflectance spectra have the potential to indicate the environmental stress in crops. The authors used canopy-scale, ground-based measurements of hyperspectral reflectance to demonstrate the features of winter wheat in different development phases under imposed fertility (N rate) and water stress. Correlation analysis was used to acquire the correlative coefficients between hyperspectral indices and parameters of biochemistry and biophysics. The results showed that when the volume of water is in an appropriate given level, the volume of N application increased, the canopy spectral reflectance of wheat gradually increased in infrared region. Also, when the volume of N was in an appropriate given level, the volume of water application increased, the canopy spectral reflectance of wheat gradually increased in infrared region.