With the rapid development of LiDAR and stereo image space aerial remote sensing technology,although China has the ability to quickly obtain the information of average stand height and canopy density,there is a lack of models to accurately estimate the biomass and volume of forest,which seriously affects the popularization and application of the technologies.In order to explore the construction of the model,the average stand height,canopy density and plant number of 52 Chinese fir sample plots from the ground survey data in Xiangxi area of Central China's Hunan Province are used to construct several inversion models of Chinese fir aboveground biomass and volume in different function forms through different independent variables,and the model is evaluated by the coefficient of determination R².The results show that the combination of factor variables based on average stand height and canopy density is closely related to aboveground biomass and volume.Among them,the above ground biomass model and volume model of Chinese fir with e as the base logarithmic variable ln(C×HH²)as the explanatory variable have the best fitting effect;the exponential function model can accurately show the relationship between the independent variable and aboveground biomass and volume.Compared with the linear function model,power function model and logarithmic function model,the exponential function model has better fitting effect.Such methods prove effective to explore the relationship among average stand height,canopy density and aboveground biomass and volume of Chinese fir.The aboveground biomass model and volume model of Chinese fir are constructed in order to provide reference for establishing the aboveground biomass and volume model for other tree species estimated by average stand height and canopy density factors.