This research established an estimating model of pinus massoniana stand volume with the elements as variates directly obtained from rs and the conditions of stand that were extracted from 130 samples of pinus massoniana stand from the fifth forest resource continuous investigation data in min - jiang watershed and flitered by the thrice standard deviation method and liner regression method and the correlation coefficient is 0 . 735 the suitability and precision of the model were tested and regression analysised with data that were extracted from another 30 samples 摘要从福建省第5次森林资源一类调查落在闽江流域的样地中抽取马尾松林样地130个，以rs可提取因子及样地林分立地条件因子为可选变量，利用3倍标准差法进行异常数据的筛选，对林分立地条件定性因子进行数量化处理，通过逐步回归构建闽江流域马尾松林分蓄积量估测模型，研究结果所构建的蓄积量估测模型的相关系数为0 . 735 。
