Discriminant analysis of typical vegetation species in Poyang Lake wetland based onhyperspectral data

Classification of the wetland vegetation by hyperspectral data is one of the most difficult and important aspect in vegetation remote sensing. By measuring hyperspectral data of 5 typical vegetations in Poyang Lake, in this paper, derivative reflectance method was used to deal with the original spectral data. We analyze and compare the original spectrum curves, the first and second derivative reflectance of the five wetland vegetables. By analyzing the curves, we select the obvious different bands to identify plants by Euclidean distance, and then use Mahalanobis distance to judge the identification effect of the selected bands. The results show that the identification differences of the 3 spectrum curves are distinguished; the bands concentrate near the infrared band, where Mahalanobis Distance can effectively identify the typical wetland vegetation. The results not only lay a foundation for wetland vegetation classification, but also provide scientific basis for the protection of lake wetland vegetation and ecological environment.