Abstract: The precise improvement of forest quality is an important part of ecological construction, which is directly related to the integrity of forest structure and the systematization of functions. In this study, LiDAR point cloud data collected by UAV aerial photography and aerial images with 0.051m resolution were used to detect forest change and basic information by combining LiDAR360 and ArcGIS Pro software, and the forest areas outside the second line of Zhuhai high-tech zone in Guangdong province were accurately divided into three types: replanting and intercropping, forest tending and improvement, and low-quality and low-efficiency forest transformation, with an area of 112.19mu, 836.21mu and 562.10mu, respectively. Through the organic combination and mutual verification of the monitoring data from the above mentioned both, the scale conversion and accurate monitoring of a larger area can be realized, and more comprehensive, accurate and efficient data support can be provided for the promotion of the precise improvement project of forest quality in a timely manner.