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本文利用从LANDSAT·TM资料获得的森林反射光谱特性信息对树林分类和林区土壤物理特性以及对树种与土坝的蓄水性之间的关系进行分析．在本研究中．从林区内选出山毛榉棒、杉和落叶松等林片对该地土壤粗孔隙率与相应卫星图像像元值的相关关系进行了分析，并且用卫星图像数据推测出了该林地土壤的粗孔隙率．然后对卫星图修数据推测出的各科孔隙率和实测的各林地土壤粗孔隙率之间的相关关系进行了分析．结果表明两者之间有着显著的相关性．这说明用卫星图修能够直接推测出作为林地渗透能力和蓄水能力指标的土坝粗孔隙率的分布状况．
In this paper, the relationship between forest classification and forest soil physical characteristics and the water storage capacity of the tree species and earth dam is analyzed based on the information of forest reflectance spectra obtained from the LANDSAT · TM data. In our current research. From the forest area, beech sticks, fir and larch forests were selected to analyze the relationship between the soil coarse porosity and the pixel value of the corresponding satellite images. The satellite image data was used to infer the coarse Porosity. Then, the relationship between the porosity of each branch and the measured crude soil porosity of each forest was analyzed. The results show that there is a significant correlation between the two. This shows that satellite imagery can directly infer the distribution of coarse porosity of earth dam which is an indicator of forestland permeability and water storage capacity.