多波段激光雷达是获取光谱的一种新型手段。 与传统的光谱仪仅能获取二维层面上的光谱不同, 它基于超连续谱激光光源, 利用激光的穿透性和高集中性, 依靠光栅分光系统能够获得植被垂直方向上的光谱信息, 从而得到植被在三维层面上的光谱分布。 利用32波段激光雷达, 首先在暗室条件下, 将多波段激光雷达获取的光谱与ASD光谱仪获取的光谱进行了比较, 发现在458～865 nm内, 两者有相同的形状特征, 能准确的表示出植被的反射特征, 然后通过对光谱指数与叶绿素含量的相关性分析发现, 基于两者的光谱指数与叶绿素含量均有较好的拟合关系, 其中, 基于多波段激光雷达光谱的优化比值植被指数（MSR）与叶绿素含量存在极显著相关关系, 决定系数R2达到0780 2, 均方根误差（RMSE）仅为0508 1。 最后, 利用多波段激光雷达, 实现了垂直方向上的光谱获取, 通过多次扫描的方式, 得到了植被光谱的三维点云分布, 并利用MSR与叶绿素含量之间的最优拟合方程, 反演得到了叶绿素含量的三维分布图。

Multi-band Lidar is a new means to obtain spectra. It is different from the traditional spectrometer which can only get spectra in the two-dimensional level. The multi-band Lidar based on the super-continuum spectrum laser light, uses the penetrability and high concentration of laser and gets the spectra of vegetation in vertical direction, relying on the grating instrument system. With it the spectral distribution of vegetation in the three-dimensional level can be obtained. In this paper, 32-band Lidar is applied. Firstly, the spectra obtained with 32-band Lidar and ASD spectrometer in a darkroom are compared, which proves that they have the same shape, accurately indicating the reflection characteristics of vegetation from 458 to 865 nm. Then with the analysis of the correlations of spectral index and chlorophyll content, it is found that the fitting relations between the spectral indices and chlorophyll content acquire nice effect and there is highly significant correlation between the Modified Simple Ratio (MSR) based on multi-band Lidar spectra and chlorophyll content, the determination coefficient (R2) is 0780 2 and the RMSE is only 0508 1. Finally, with multi-band Lidar, the spectra in the vertical direction and the three-dimensional point cloud distribution of spectra are obtained via multiple scanning. Based on the optimal fitting equation between MSR and chlorophyll content, three-dimensional distribution of chlorophyll content is gotten.