在分析数据的基础上，选择了相关遥感因子和定性因子，并通过一系列模型的检验与修正，建立了公顷蓄积量估测的最优多元线性回归模型。
Based on the analysing of the data, selected relevant factors, made a series of tests and amendments with models, then created forest volume estimation optimal multivariate linear regression model.
但是高分辨率遥感影像在林业领域中的应用面临诸多问题，如数据源的价格偏高、图像阴影无法去除、树种识别困难和森林蓄积量估测精度不高等。
However, there appear many problems in its application in forestry, such as the high price of data, the irremovability of image shadow, the low accuracy of quantitative estimation, etc.
根据其散点图形状进行方程拟合及优选，完成蓄积量的估测。
According to the shape of scatter plot, the authors fitted and optimized regressive equation, and then estimated the forest volume.
蓄积量调查是一个不可见的被估测因子，无法直接利用高空间分辨率卫星影像。
Stock volume which is an important factor in forest resources investigation can't be obtained directly by remote sensing image.
蓄积量调查是一个不可见的被估测因子，无法直接利用高空间分辨率卫星影像。
Stock volume which is an important factor in forest resources investigation can't be obtained directly by remote sensing image.
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