青城山地区植被光谱与叶面积指数关系初探  

RELATIONSHIP BETWEEN LEAF AREA INDEX AND HYPERSPECTRUM OF QINGCHENG MOUNTAIN

作　　者：潘佩芬[1] 杨武年[1] 戴晓爱[1] 岳力[2] 

机构地区：[1]成都理工大学地学空间信息技术国土资源部重点实验室,四川成都610059 [2]成都理工大学地球科学学院,四川成都610059

出　　处：《物探化探计算技术》2013年第4期481-484,374,共4页Computing Techniques For Geophysical and Geochemical Exploration

基　　金：国家自然科学基金资助项目(41071265);2010年度高等学校博士学科点专项科研基金(20105122110006)

摘　　要：根据青城山地区所采集的植物高光谱数据,提取了三种植被指数:①归一化植被指数(NDVI);②比值植被指数(RVI);③差值植被指数(DVI)。并结合该研究区实测的相应叶面积指数(LAI),分别建立各植被指数与叶面积指数之间的转换模型,得出了预测模型。结果表明:采用比值植被指数RVI进行试验区的LAI反演效果更好。本次研究结合植被光谱与植被指数,反映了植被指数与对应叶面积指数之间的关系,为二者之间的相互转换提供必要参考,为森林遥感监测提供了一定的依据。The hyperspectral data of vegetations in Qingcheng mountain was measured;Normalized Difference Vegetation Index(NDVI),Ratio vegetation index(RVI) and Difference vegetation index(DVI) were calculated by the spectral data;Then the models of vegetation indices and the Leaf are index(LAI).The result shows the model of RVI and LAI was more effective.In this study,the use of vegetation spectrum and vegetation indices improves the spectral practical and research value,which can provide reference for the research of LAI in the other areas and theoretical basis for the forest remotely monitoring and Farmland growing prediction.

关 键 词：叶面积指数LAI NDVI RVI 高光谱 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]