The accuracy and precision of Airborne LIDAR canopy height model (CHM) product was accessedon in dividual tree level,using forest ground measurements with high-precision position. The analysis procedures were based on dominant trees sampling by spatial analysis tool,iterative elimination of outliers,correlation analysis,and rules for error grading statistics.The method was applied in Northeast Tiger and Leopard National Park. The CHM product was collected by LIDAR RIEGL-VQ-1560i with 10 pulse/m². The results showed that: 1) CHM and "real" height had a significant linear correlation,R²=0.97;CHM products were slightly lower than the "real" height,about 0.7m;Roughly,there was an uncertainty of ±2m(2σ) for each tree;2) For each tree species (group),all CHMs were slightly lower than the "real" height too,ranging from 0.3m to 1.3m;Roughly,There was an uncertainty of ±1.4 ~±2.4m(2σ) for different species;Significantly,the CHM height of the larch was about 1.3m lower than the "real" value;3) the result of error grading statistics showed proportion of CHM with 0~ ±1m error was 57.6%; proportion of CHM with 0~±2m error was 79.4%;proportion of CHM with more than +2m error was 18.6%; proportion of CHM with less than -2m error was 2.0 %. It indicated that about 1/5 of the products had lower CHM values,which needed to be further explored. The results showed that the method could effectively identify the quality problems of CHM products,and provide a guarantee for the quality control of airborne LIDAR forest survey projects under complex operating conditions in large-scale and mountainous forest areas.