Abstract: Single tree is the basic unit of forest spatial structure. For forestry production practice, it is important to accurately obtain single tree factors. In the investigation of forest resources, the factors of forest tree vertices and tree height play an important role in forest ecological assessment. As the traditional field survey is time-consuming and laborious, airborne lidar can not only obtain the estimation model data quickly and accurately, but also help to accurately evaluate the forest parameters on a large scale, providing a solid data base for forest resource survey. Firstly, by using the canopy height model（CHM） of Unmanned Aerial Vehicle（UAV） LiDAR data, the tree vertices were extracted by the local maximum method, and the influence of the filter window size in different CHM spatial resolution on the extraction of forest tree vertices was discussed. Then, the vertex extraction accuracy of CHM tree with different resolutions under single tree scale was evaluated. Finally, the accuracy of tree height under single tree scale was evaluated. The results showed that:（1）When the spatial resolution of CHM was 0.1 m, and the median filter was used to the window size 3×3, the optimal tree vertex extraction effect can be achieved.（2）The spatial resolution of CHM was 0.4 m determined by visual interpretation combined with local maximum method, the tree vertex extraction accuracy was high, and the F-measure was 89.68%.（3）The CHM single tree height extracted by the local maximum method had a good fitting effect with the ground-measured tree height（R~2=0.95, RMSE=0.91 m）.