农业工程学报2012，Vol.28Issue(11)：164-169,6.DOI:10.3969/j.issn.1002-6819.2012.11.027
基于主成分分析的叶面积指数尺度效应
Analyzing scale effects of crop LAI based on PCA method
摘要
Abstract
In order to quantitatively analyze the scale effects of leaf area index (LAI) of crop canopies, an analyzing method based on principal component analysis (PCA) theory was proposed in this paper. In this method, PCA theory was introduced for data mining and reorganization, which fully considered the correlation and variability of multi-resolution data. Dynamical multiple linear regression theory was selected for LAI estimation by taking principal components (PCs) as independent variables. Barley and corn were chosen as experimental objects. Firstly, observed data at different spatial scales were constructed by polymerization method based on the small scale observed data. Secondly, the scale effects analyzing method proposed in this work was used for data processing and LAI estimation. Finally, the number of effective principle components (NEPCs), coefficient of determination (R2), and mean relative accuracy (MRA) were selected as testing indicators to analyze the above results to quantitatively describe scale effects of crop LAI. The theory analyses and numerical practices verified the feasibility and validity of this proposed method in analyzing scale effects of crop LAI.关键词
主成分分析(PCA)/统计分析/线性回归/空间尺度/尺度效应/叶面积指数(LAI)Key words
principal component analysis (PCA), statistic analysis, linear regression, spatial scaling, scale effects, leaf area index (LAI)分类
信息技术与安全科学引用本文复制引用
董莹莹,王纪华,李存军,杨贵军,徐新刚,王慧芳,黄文江..基于主成分分析的叶面积指数尺度效应[J].农业工程学报,2012,28(11):164-169,6.基金项目
国家重点基础研究发展计划(973)资助项目(2011CB311806) （973）
国家自然科学基金资助项目(41071228) （41071228）
国家自然科学基金资助项目(31071324) （31071324）
