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崂山林场森林冠层叶面积指数反演研究
引用本文:杨慧乔,;冯仲科,;葛忠强,;刘方春,;姜楠南,;王亚珍,;谷金英.崂山林场森林冠层叶面积指数反演研究[J].山东林业科技,2014(2):7-10.
作者姓名:杨慧乔  ;冯仲科  ;葛忠强  ;刘方春  ;姜楠南  ;王亚珍  ;谷金英
作者单位:[1]北京林业大学测绘与3S技术研究中心,北京100083; [2]山东省林业科学研究院;,北京100083; [3]青岛市崂山风景区管理局,北京100083;
基金项目:本文受山东省科技发展计划项目资助,项目编号:2008GG10009012.
摘    要:本文以地处崂山林场东部林区作为研究区,运用逐步分析方法对6种植被指数和海拔、坡向、坡度等立地信息进行比较分析,筛选出3种植被指数NDVI、RVI、SAVI可敏感反映森林冠层LAI,建立分别以NDVI、DVI、SAVI为自变量的二次曲线模型、幂函数曲线模型、指数曲线模型以及包含这3种植被指数的多元线性模型,从决定系数(R2)和标准误差两个方面对基于不同植被指数LAI反演模型进行定量分析。结果表明,崂山林场LAI最佳的统计模型是多元线性模型,模型的R2是0.812,具有较好的估测效果。利用该模型反演了研究区的林分冠层LAI,并把崂山林场的林分冠层LAI分为5个等级,研究区的森林冠层LAI分布呈现西北部和东南部较低,而东北部和南部相对较高的特点。

关 键 词:林分冠层  LAI  植被指数  反演

Study on Leaf Area Index Inversion of Laoshan Forest Canopy
Institution:YANG Huiqiao , FENG Zhongke , GE Zhongqiang , LIU Fangchun , JIANG Nannan , WANG Yazhen, GU Jinying (1. Mapping and 3S Technology Research Center, Beiiing Forestry University, 100083 ;2. Shandong Academy of Forestry 3. Qingdao Laoshan Scenic Area Management Bureau, Qingdao)
Abstract:Taking east Laoshan Forest as study site, this paper analyzed 6 kinds of vegetation index and site information like elevation, slope and aspect step by step, which founded that NDVI, RVI, SAVI could reflect forest's canopy Leaf Area Index most sensitively, then established quadratic curve model, power function model, exponential function model taking NDVI, DVI, SAVI as independent variables and the ternary linear model. The study analyzed LAI inversion model based on the coeffi- cient of determination (Rz ) and standard error. The results showed that the best statistical model was ternary linear model of 3 vegetation indices, its R2 was 0. 812. Canopy LAI of Laoshan Forest area was inversed with the model, then divided the research area into five levels by its LAI. The result showed that the distribution of forest canopy LAI was low in the northwest and southeast, and it was relatively higher in the northeast and south.
Keywords:Forest Canopy  LAI  Vegetation Index  Inversion
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