胸径与树高都是衡量林木生长好坏的两个非常重要的因子,为此借用黑龙江省红松的一组生长数据,对胸径与树高的非线性模型进行了拟合研究;经分析所选五个模型均相关性极显著,但以模型H=32.7008e-8.7297d相关性最好,F值为1110.000,高出其他F值2倍及以上.为此应用该模型大大的提高了树高因子的估测精度,并为今后的森林资源调查工作提供高精度的间接树高数据. DBH and tree height are two very important factors to measure the growth of trees. To do this, a set of growth data of Korean pine was borrowed to fit the nonlinear model with DBH and tree height. The correlation between the five models was very significant, but the best correlation was found between the model H = 32.7008e-8.7297d, the F value 1110.000, and the value 2 times higher than other F values. High-factor estimation accuracy, and provide high-precision indirect tree height data for future forest resources investigation work.