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用岭估计研究以RS和GIS为基础的森林蓄积预报
引用本文:李崇贵,石强,赵宪文,斯林. 用岭估计研究以RS和GIS为基础的森林蓄积预报[J]. 遥感技术与应用, 2001, 16(3): 168-172
作者姓名:李崇贵  石强  赵宪文  斯林
作者单位:1. 深圳职业技术学院,
2. 中国林业科学研究院资源信息研究所,
摘    要:在分析最小二乘(LS)估计预报森林蓄积可能存在缺陷的基础上,提出采用岭估计研究蓄积估测,并利用样地总蓄积预报偏差相对误差最小的方法,通过计算机仿真确定岭参数。实例计算表明,当影响蓄积估测的RS和GIS信息间存在复共线性时,用岭估计预报森林蓄积将优于LS估计。

关 键 词:岭估计 方差扩大因子 复共线性 森林蓄积 RS GIS 遥感 地理信息系统
文章编号:1004-0323(2001)03-0168-05
修稿时间:2000-10-07

On Forest Volume Estimate Research Based on RS and GIS through Ridge Estimate
LI Chong-gui ,SHI Qiang ,ZHAO Xian-wen ,SI Lin. On Forest Volume Estimate Research Based on RS and GIS through Ridge Estimate[J]. Remote Sensing Technology and Application, 2001, 16(3): 168-172
Authors:LI Chong-gui   SHI Qiang   ZHAO Xian-wen   SI Lin
Affiliation:LI Chong-gui 1,SHI Qiang 1,ZHAO Xian-wen 2,SI Lin 2
Abstract:In this paper, based on the analysis of possible limitation of u si ng LS estimation predicting forest volume, the ridge estimate is put forward. Me anwhile, by means of the method that makes the deviation of the total predicting volume minimum, the ridge parameter is obtained through computer simulation. Th e real example indicates that when there are some multi-collinearities between the RS and GIS information that effecting volume estimation, ridge estimate is p rior to LS estimate in forest volume predicting.
Keywords:Ridge es timate   Variance inflation factor   Multi-collinearity   Forest volume
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