旺业甸实验林场针叶林蓄积量估测模型的研究  

Research on coniferous forest volume estimation model for Wangyedian experimental forest farm

作　　者：张凝[1] 冯仲科[1] 冯跃文[2] 樊江川[1] 

机构地区：[1]北京林业大学测绘与3S技术中心,北京100083 [2]中国地质大学,北京100083

出　　处：《中南林业科技大学学报》2013年第11期83-87,108,共6页Journal of Central South University of Forestry & Technology

基　　金：国家科技支撑计划项目(2012BAH34B01)"亚太森林恢复与可持续管理网络";旺业甸林场多功能林业试点示范项目

摘　　要：蓄积量是森林资源监测的一个重要指标,而蓄积量遥感估测一直是林业遥感研究的重要内容之一。采用Landsat-TM数据为遥感信息源,提取各个波段的差值以及比值组合信息、影像各波段灰度值以及植被指数,并利用DEM数据提取坡度和坡向数据。以内蒙古赤峰市旺业甸林场针叶林为研究对象,分析RS和GIS因子与蓄积量的相关性,利用SPSS分析工具建立像元蓄积量与RS和GIS因子之间的非线性估测模型。模型精度达到76.16%,R为0.726,对其适用性进行F检验,在0.01显著性水平下满足要求。Volume of forest resources monitoring is one of the important targets, and volume of remote sensing estimation has been one of the important contents of forestry remote sensing researches. By using Landsat-TM data as remote sensing information source, the differences among different bands and ratios combination information were extracted, the gray values and vegetation indexes of band images were also extracted, and the slope gradient and slope aspect data were extracted by using the DEM data. By taking the coniferous forest in Chifeng city in Inner Mongolia as the research object, the correlations of RS and GIS factors and volume were analyzed and the nonlinear estimation models between pixel volume and RS and GIS factors were established by using SPSS analysis tools. The experimental results show that the model accuracy reached 76.16%, R value was 0.726, the applicability Ftest was done, which was at 0.01 significant level, the model accuracy met the requirements.

关 键 词：森林资源监测 针叶林蓄积量 遥感估测 像元蓄积量 相关分析 精度检验 

分 类 号：S758.51[农业科学—森林经理学] S771.8[农业科学—林学]