Study on hyperspectral characteristics on the corn in cold area under nitrogen stress

Using hyperspectral remote sensing technology, experiments were set up in fields to collect different growth period hyperspectral images of maize canopy under different nitrogen levels and reflectance of corn canopy is extracted by ENVI software. The results showed that there were differences in different nitrogen levels for reflectance of corn canopy. There were two peaks phenomena for the edge of canopy spectra of corn. There were red shift phenomena for the position of edge. According to the maize hyperspectral reflectance and the peak of edge position, it could be qualitatively distinguished for seriously deficient in nitrogen and normal nitrogen and excess nitrogen.