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该研究首次利用陆地资源卫星ＴＭ数据及通过数字图象处理的１：５万比例尺ＴＭ影象。航片，对近６１万ｈｍ~２林地进行了森林资源二类调查。调查结果表明，蓄积量的估测精度在林业局和林场一级达到了精度要求；完全使用航天资料估测小班测树因子取得了一定进展，建立了树高、胸径及郁闭度等测树因子与航天遥感数据之间的数学模型，估测精度达到林业局、林场一级规程要求。与传统调查方法相比，外业工作量减少了２／３，经费节省近１／２。
The study, for the first time, uses Landsat TM data and a 1: 50000 scale TM image through digital image processing. Aerial photos, nearly 610,000 hm ~ 2 woodland forest resources conducted a second survey. The survey results show that the accuracy of the stock volume estimation reaches the precision requirements at the forestry bureau and forestry farm level. Some progress has been made in estimating the tree-finding factor completely using the aerospace data. Trees such as tree height, DBH and canopy density have been established Factors and aerospace remote sensing data between the mathematical model, the estimated accuracy of the forestry bureau, forestry farm level requirements. Compared with the traditional survey methods, the workload of the field has been reduced by two-thirds and the funds saved by nearly one-half.