基于ALI影像的植被冠层叶面积指数的遥感反演研究  

Remote Sensing Inversion Study of Vegetation Canopy Leaf Area Index Based on ALI Image

作　　者：张妮慧 张玲玲[1] 赖格英[2,1] 易发钊[1] 曾祥贵[1] 潘瑞鑫[1] 

机构地区：[1]江西师范大学地理与环境学院,江西南昌330022 [2]鄱阳湖湿地与流域研究教育部重点实验室,江西南昌330022

出　　处：《安徽农业科学》2013年第23期9833-9837,共5页Journal of Anhui Agricultural Sciences

基　　金：国家自然科学基金面上项目(40971266;41171393)

摘　　要：以鄱阳湖源头之一的梅江流域作为研究区,该地区植被多呈混交状态,且疏密程度不均,针对这一特性,采用EO-1上搭载的高级陆地成像仪(ALI)生成的多光谱影像作为遥感信息源,对该影像预处理后计算各植被指数信息;考虑到研究区裸地比较多,其中垂直植被指数(PVI)的计算引入土壤线参数。同时,借助植物冠层分析仪LAI-2000实地测量获得研究区的LAI值,而后对采样所得的LAI数据与通过遥感影像所获得的植被指数建立空间位置上的联系,提取出相应点的VI值,拟合两者之间的关系,得到相应的反演模型,在回归模型中依据相关系数R2找出最佳模型,最后反演制图得到该研究区的植被冠层LAI图。With Meijiang River watershed as the study area, in view of the features of mixed state of vegetation and uneven density degree, u- sing the Advance Land Image （ALI） as the remote sensing data, different forms of Vegetation Index （111） was derived from the ALI after con- ducting several basic pretreatment. Considering there are many bare land in the study area, the PVI computing was introduced into the soil line parameters. At the same time, the measured LAI value was obtained by the Plant Canopy Analyzer LAI-2000, then a spatial relationship be- tween the measured LAI and the V1 value which was calculated by the remote sensing data was established, the corresponding VI was derived. Then the retrieval model was obtained by fitting the linear and nonlinear relationship between LAI value and V1 value, and according to the cor- relation coefficient （ R2 ） to find out the best retrieval model for LAI inversion, the vegetation canopy LAI figure in the study area was obtained by inversion mapping.

关 键 词：叶面积指数 植被指数 土壤线 遥感反演 

分 类 号：S126[农业科学—农业基础科学]