Hyperspectral Lidar using supercontinuum laser as light source, applying spectroscopic technology gets backscattered reflectance of different wavelengths, and can acquire both the geometry and spectral information on the target. In the vegetation detection by using Hyperspectral Lidar, through refusing 3d and spectral data, we can get the physical structure and biochemical parameter such as vegetation index, chlorophyll content. This paper constructs a simulating scene including an atmosphere, vegetation and ground surface, simulates spectral waveform of different input conditions such as varying ground reflectance, sloped versus flat ground, and comparisons of "leaf-on" and "leaf-off" conditions. First, using fractal method, the vegetation model was established. Second, applying Monte Carlo method, the laser between vegetation was traced. Third, using the PROSPECT model, established the vegetation spectral reflectance model. Last, by combining of the above three models, built hyperspectral Lidar vegetation detection model, and carry out simulation model under a variety of conditions supply.