Research on Maoershan Stand Factors and 3 s Information Based on Ridge Regression Model

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• 作者：Qiang Wang ; ^{qiang23709@163.com} ; Haiqing Hu ; Yang Zhang
• 关键词：stand factors ; remote sensing ; ridge trace analysis
• 刊名：Procedia Environmental Sciences
• 出版年：2011
• 出版时间：2011
• 年：2011
• 卷：10
• 期：Complete
• 页码：1998-2004
• 全文大小：523 K

文摘

Taking Maoershan experimental forest of Northeast Forestry University as the study area, and based on the ridge regression analysis as well as a small amount of field survey data and its corresponding remote sensing & GIS information, this paper has screened and optimized the remote sensing and GIS factors affecting the estimation of stand factors such as mean DBH and biomass, found out TM (4 ??xA0;3)/7, TM4/3 and altitude, etc. as the main estimation-affecting factors, established a regression estimation model of stand factors such as mean DBH and biomass by taking pixel as the basic element, and validated the accuracy of the model, thereby proving that the ridge regression estimation model can be used for quantitative estimation of regional forest stand factors.