以遥感和地理信息系统为基础的森林蓄积LS估计自变量选择研究

李崇贵; 赵宪文

doi:10.11834/jrs.20010406

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专辑

以遥感和地理信息系统为基础的森林蓄积LS估计自变量选择研究
A Research on the Variable Selection of Forest Volume Least Square Estimation Based on RS and GIS
2001年第4期页码：277-281
纸质出版日期： 2001 ，
DOI： 10.11834/jrs.20010406

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[1]李崇贵,赵宪文.以遥感和地理信息系统为基础的森林蓄积LS估计自变量选择研究[J].遥感学报,2001(04):277-281.

LI Chong_gui, ZHAO Xian_wen. A Research on the Variable Selection of Forest Volume Least Square Estimation Based on RS and GIS[J]. Journal of Remote Sensing, 2001,(4):277-281.
[1]李崇贵,赵宪文.以遥感和地理信息系统为基础的森林蓄积LS估计自变量选择研究[J].遥感学报,2001(04):277-281. DOI： 10.11834/jrs.20010406.

LI Chong_gui, ZHAO Xian_wen. A Research on the Variable Selection of Forest Volume Least Square Estimation Based on RS and GIS[J]. Journal of Remote Sensing, 2001,(4):277-281. DOI： 10.11834/jrs.20010406.

摘要

根据最小二乘（LS）原理

借助遥感和地理信息系统

研究森林蓄积定量估测最优自变量的选择方法。通过实例分析了LS估计确定森林蓄积自变量的选择规律

并探讨了LS估计预报森林蓄积的潜力

对实际工作具有一定的指导意义

Abstract

The optimum variable selecting method on the forest volume quantitative estimation based on RS and GIS through the principle of least square is studied. The law of the variable selection on forest volume estimation is analyzed in detail by means of the real example

at the same time the predicting potentiality of forest volume through LS estimation is also discussed. The method has some guiding significances for the practical job.

关键词

LS估计平均残差平方和森林蓄积

Keywords

LS estimationresidual mean squaresforest volume

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