基于RS、GIS的马尾松林分蓄积量判读模型研究  

Study on Interpreting Model of Pinus Massoniana Stand Volume Based on RS and GIS Technologies

作　　者：侯长谋[1] 杨燕琼[2] 黄平[1] 刘惠明[2] 

机构地区：[1]广东省林业局,广东广州510173 [2]华南农业大学林学院,广东广州510642

出　　处：《林业资源管理》2002年第5期55-58,共4页Forest Resources Management

基　　金：广东省林业厅基金项目 (44 0 0 -F990 10 )

摘　　要：以从RS、GIS可提取的因子为自变量 ,通过数量化、逐步聚类、逐步回归等方法建立马尾松林分蓄积量判读模型 ,并用不同时相的遥感数据、连续清查第三次复查外业调查数据对模型进行适合性检验、精度计算。结果表明 ,所建立的马尾松林分蓄积量判读模型线性关系显著 ,估算结果与外业调查数据无显著差异 ,且估算精度达到连续清查规程的要求 ,判读模型可应用于森林连续清查间隔期内广东省马尾松林分蓄积量的估算。This research established an interpreting model of Pinus massoniana stand volume using Numerical,K-Means Cluster,Gradual Regression methods with the elements as variates directly obtained from RS and GIS The suitability and precision of the equation were tested with another date TM RS data, the third NFI data Results show the models for Pinus massoniana stand volume are reliable There are no significant deviation between data actually measured and estimated by regression equation Therefore, the regression equations can be used in the period between forest resources continuous investigations

关 键 词：遥感技术 地理信息系统 RS GIS 马尾松 林分蓄积量 判读模型 

分 类 号：S791.248[农业科学—林木遗传育种] S758.51[农业科学—林学]