Abstract:In forest surveys, volume tables are usually used for standing wood volume estimation. From the national to the provincial scales and even forest farm all have their own single and binary tree volume tables which have characteristics of a large number of samples and high accuracy. However, due to the great number of models that the form is not unified, it is difficult to identify the large species and other reasons, resulting in poor efficiency in table look-up. It is inconvenient to estimate standing wood volume by using volume tables for some applications with no high precision requirement, such as estimation of wood value by lumberman, growing stock estimation by UAV and remote sensing retrieval of standing parameters in wide area. Therefore, a simple and quick standing tree volume estimation model is required. Based on standard volume model of national major tree species and single entry volume table of all provinces and municipalities, the regression model was made by SPSS to process all the data of 2082 groups of diameter at breast height (D), height of tree (H) and volume (V) generated by 1cm sampling diameter class, and then the generic standard volume models and derived form factor (f) models were built. Among them, generic standard volume models included a nationwide standard volume model, two nationwide needle-leaved and broad-leaved standard volume models and six standard volume models that made by using SPSS software with form of Yamamoto type. The result of model fitting showed that the fitting determination coefficients (R2) were all above 0.984 and the effects of model fitting were good. Evaluation indicators of six regression models were selected to conduct model verification, and the verification results showed that the indicators of total relative error (TRE) and average system error (MSE) of all models were almost within the range of ±3%. Using basic data to derive the value of f to get 16 overall, needle-leaved and broad-leaved derived form factor models. The validation result of generic standard volume models and derived form factor models showed that in specific situation, it can replace existing regional tree species’ single entry and standard tree volume model to estimate volume, which avoided the process of in-place wood recognition and table look-up, and it is of practical significance to guarantee precision and simplify evaluation process of standing tree volume.
