Analysis of Canopy Spectral Sensitivity on Representative Campus Vegetation in Different Growth Periods

The spectral reflectance data and canopy leaf area index (LAI) of some representative campus vegetation was measured at their beginning and the end of growth period, which was carried under the natural condition in Chengdu University of Technology. Based on analysis of canopy spectral reflectance curve of different cumulative sample capacity, the distinct and sensitive point or wave on the curves of various types of vegetation at their different growth stages was determined by the method of differential spectrum, characteristic bands extraction and correlation analysis, etc. And then the ratio vegetation index (RVI) and difference vegetation index (DVI) was extracted from canopy hyperspectral data collected to analyze the correlation between LAI and vegetation index. The results show that RVI has good relation with LAI. The research had got the correlation between the spectrum characteristics of campus vegetations and the correlation between vegetation spectrum and vegetation index, which supplies a reference for the research of other vegetation Spectral reflectance characteristic, and also provides theoretical basis for vegetation remote sensing dynamic monitoring.