To carry out the research and application study of tree standing volume modeling based on non-destructive data collection by high-precision terrestrial laser scanning using Quercus species in Hunan Province as a pilot project.

143 single trees of Quercus species were scanned by Terrestrial Laser Scanning, the parameters of the trees were extracted from point cloud data, the model that meets the biological characteristics was selected as an alternative, and the Marquardt iterative method and the weighted least squares method were used to fit the model, and the optimal timber standing volume model was selected based on the results of the model fitting, the evaluation of the model and the test of the applicability of the model.

The R² of the traditional one-dimensional and two-dimensional lumber models constructed using point cloud extraction parameters was greater than 0.9, the remaining standard deviation was less than 0.1, the total relative error and average systematic error were less than 3%, and the prediction accuracy was over 95%. The average percent standard error of the two-dimensional lumber model was less than 7%, and that of the one-dimensional lumber model was less than 16%. By analyzing the relationship between the volume of individual tree segments and the overall volume, it is proposed to construct a standing volume model by combining the diameter with the height at the position of 0.276 relative to the height of the tree, and the model constructed has the highest accuracy among all the standing volume models, with an R² of 0.992 and a residual standard deviation of less than 0.03, which is superior to the traditional standing volume model, and enhances the accuracy of the standing volume prediction. And there was no significant difference between the estimated and measured wood volume of the wood standing volume model constructed using Terrestrial Laser Scanning point cloud data.

The forest parameters extracted from the point cloud data have high accuracy, and can replace the measured forest parameters for the related modeling; the accuracy of the constructed timber standing volume model can meet the needs of the daily forestry survey in Hunan Province, and provide a non-destructive technical means for the future modeling; the proposed new parameters can improve the accuracy of the timber standing volume modeling, and provide a new way of thinking for the construction of timber standing volume model.