Light detection and ranging (Lidar) point cloud data contains the information of the 3D coordinate and intensity, which can be applied to acquire the height of crown, fractional cover etc. in high-statue vegetation, such as the forest. Meanwhile, with the improvement of data storage capacity and processing speed, small footprint airborne Lidar is able to store the entire refl ected waveform through digitally sampling, which expands the application of Lidar. However, the methods used in forest are not suitable for shrubs, crops and other low canopies. In this paper, we choose the cron as the study object, and propose a crop fractional cover and leaf area index (LAI) retrieval method using airborne Lidar intensity of ground hits and the distance and zenith angle information contained in waveforms data. Relevant fi ght experiment and ground measurements in Heihe indicate that the method is reliable, and the experiment also validates the great potential for Lidar to be applied to monitor low natural vegetation in agriculture.