大兴安岭地区森林叶面积指数测定与遥感估算  

Determination and Estimation of the Forest Leaf Area Index with Remote Sensing in Daxing'an Mountain

作　　者：李贺平[1] 肖克[1] 范文义[1] 温一博[1] 满子源[1] 孙晟昕[1] 

机构地区：[1]东北林业大学,哈尔滨150040

出　　处：《东北林业大学学报》2013年第5期66-70,共5页Journal of Northeast Forestry University

基　　金：国家科技支撑项目(2011BAD08B01;2011BAD37B01);教育部本科生创新训练项目(1110225011)资助

摘　　要：为研究分树种测定并估算植被叶面积指数(IL,A),以大兴安岭地区塔河林业局为研究区域,利用TRAC-Ⅱ对41个样地真实叶面积指数进行了测定,并与基于TM遥感影像提取的植被指数进行了相关性分析,建立模型进行IL,A估算。对外业实测样地数据与其对应提取的遥感数据进行了两种分析:一种为纯针叶树种区域分析,另一种为不分树种的区域分析。结果表明:归一化植被指数(IN,D,V)、差值植被指数(IR,V)、比值植被指数(ID,V)与IL,A均有较高的相关性,其中IN,D,V与IL,A的相关性最好,在纯针叶树种区域分析中R2=82.1%,在不分树种的区域分析中R2=77.1%。分析结果还表明:分树种后的纯针叶树种区域分析比不分树种的区域分析估算IL,A的精度明显提高,估算模型精度提高了5%。Tahe Forestry Bureau of the Daxing＇an Mountain region was＇selected as a research area to study the determination and estimation of vegetation leaf area index （/L,A）. The true leaf area indexes of 41 plots were measured by TRAC-Ⅱ and the vegetation indexes are extracted by TM remote sensing image to analyze the relationship between them, and then a model for/L.h was established. We conducted the analysis on measured records sample data and relevant remote-sensing data in two ways： one is analyzed in a pure conifer area, and another is analyzed in the area with mixed species. The normalized difference vegetation index （IN,D.V）, the ratio vegetation index （IR.V） and the difference vegetation index （ID,V） have high correlation with IL.h, and the correlation between IN,D,V and IL,A is the best with R2 = 82. 1% in the pure conifer area, and in another area with R2 = 77.1%. The estimation accuracy of IL,A in the pure conifer area is better than that in the oth- er area, and the estimation accuracy is increased by 5%.

关 键 词：叶面积指数 大兴安岭 TRAC 遥感 

分 类 号：S771.8[农业科学—森林工程]