叶面积指数遥感反演方法进展  

The Development of Leaf Area Index Inversion from Remote Sensing

作　　者：王东伟[1] 孟宪智[1] 王锦地[2] 王磊[3] 

机构地区：[1]海河水利委员会水土保持监测中心站,天津300170 [2]北京师范大学遥感国家重点实验室,北京100875 [3]海河水利委员会网络信息中心,天津300170

出　　处：《五邑大学学报（自然科学版）》2009年第4期47-52,共6页Journal of Wuyi University(Natural Science Edition)

摘　　要：叶面积指数(LAI)是描述植被冠层结构的关键参数,而模型反演法是提取LAI的潜在有效方法.论文综述了植被冠层辐射传输模型和辐射传输模型遥感反演LAI方法的理论发展,详述了植被冠层辐射传输模型和LAI反演的发展历程.通过逐步的理论扩展,进而引出目前学者广泛关注的LAI提取同化算法,为遥感观测提取LAI或其它参数提供了理论参考.The LAI is an important structural parameter of vegetation canopy which is crucial for describing canopy structure. Many efforts have been made to retrieve LAI through its statistical relationship with spectral vegetation indices （VI）, physical model inversion or other nonparametric methods. Model inversion is a potential means for LAI retrieval based on the physical relationship between remote sensing observation and LAI. This paper describes the development of canopy radiative transfer model and the development of retrieving LAI from remote sensing observation by model inversion. Through theoretic expansion, an extensively concerned assimilation algorithm is derived which is a potential means for LAI retrieval from remote sensing observation.

关 键 词：LAI 辐射传输模型 反演 同化 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]