估测森林蓄积量的遥感因子选择研究

Selection of remote sensing factors for estimating forest volume

为提高森林蓄积量的估测精度,选择多重相关性小的遥感因子组合,运用残差平方和法,对湖南省新化县曹家镇20个一类调查样地对应的SPOT5影像的9个遥感因子组合进行了多重相关性研究。结果表明:除遥感因子FSP2外,其余因子对森林蓄积量的估测都有重要作用。通过方差扩大因子对各遥感因子的多重相关性诊断表明:剔除FSP2后,各遥感因子间的多重相关性大幅减小。

In order to raising estimating precision of forest volume,through selecting remote sensing factors of low multi-correlation,and by using the method of residual sum of squares,we researched the multi-correlation of 9 remote sensing factors on the SPOT5 remote sensing image map about first class survey of 20 sample plots in Caojia Town,Xinhua Country,Hunan Province.The results show that the other factors had important roles to extract the forest volume information except FSP2.With the multi-correlation diagnosis of variance inflation factor to the remote sensing factors,the multi-correlation among the remote sensing factors were greatly reduced after FSP2 rejected.