基于遥感植被生物量估算模型自变量相关性分析综述

Review on Correlation Analysis of Independent Variables in Estimation Models of Vegetation Biomass Based on Remote Sensing

应用遥感估算植被生物量越来越受到人们的关注。在利用遥感信息参数以及其它因子构建模型时,往往要挑选一些对生物量具有显著影响的因子作为自变量,因此自变量个数的确定、自变量的选择对估算模型的可靠性及精度影响很大。从单变量模型、多变量模型以及参数、非参数模型等几个方面论述了植被生物量估算遥感信息模型自变量相关性,并提出了一些建议,希望能对植被生物量估算模型自变量的选择提供参考价值。

Applying remote sensing to estimate vegetation biomass has been paid more attention. When using the remote sensing information parameters and other parameters to construct models,researchers often need choose some parameters as independent variables which have obvious influence on biomass. Therefore ,identifying the number of independent variables and choosing independent variables play an important role in the reliability and precision of estimation models. From single-variable models ,multi-variables models and nonparametric models,the article reviews on correlation analysis of independent variables in estimation models of vegetation biomass based on remote sensing, which offers some referenced value for choosing the independent variables in estimation models of vegetation biomass.