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基于多项式表达模型的多角度覆盖率反演研究
引用本文:李静,刘强,柳钦火,肖青.基于多项式表达模型的多角度覆盖率反演研究[J].遥感学报,2006,10(5):812-819.
作者姓名:李静  刘强  柳钦火  肖青
作者单位:1. 遥感科学国家重点实验室,中国科学院,遥感应用研究所,北京,100101;中国科学院,研究生院,北京,100049
2. 遥感科学国家重点实验室,中国科学院,遥感应用研究所,北京,100101
基金项目:国家自然科学基金;中国科学院知识创新工程项目;中国科学院"百人计划";国家教育部留学回国人员科研启动基金;国防科工委资助项目
摘    要:冠层光谱的多项式表达模型是理解叶片/土壤系统内的光线散射过程,描述植被的冠层光谱与组分光谱间非线性关系的一种新的方法。冠层光谱的多项式表达模型用高阶多项式的形式表达了系统内的各组分对入射光的散射过程,多项式中每一项系数表达了各组分对入射光多次散射的可能性有多少,这与冠层的结构,包括作物的覆盖率、叶倾角、垄行结构等有关。因此,多项式系数具有反演冠层结构参数的潜力。本次研究首先使用SAILH模型得到玉米全生长期的BRDF波谱以及模型计算过程的中间变量冠层多角度覆盖率,建立多项式系数与多角度覆盖率之间的经验关系。最后,设计了一次野外BRDF观测试验,对经验关系进行验证。

关 键 词:多项式表达  结构参数  覆盖率
文章编号:1007-4619(2006)05-0812-08
收稿时间:2006-04-10
修稿时间:2006-05-26

Validation of Polynomial Expression Model and Inversion of Crop Cover Rate
LI Jing,LIU Qiang,LIU Qin-huo and XIAO Qing.Validation of Polynomial Expression Model and Inversion of Crop Cover Rate[J].Journal of Remote Sensing,2006,10(5):812-819.
Authors:LI Jing  LIU Qiang  LIU Qin-huo and XIAO Qing
Institution:1. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:The polynomial expression model is a new model to interpret the light scattering process inside leaf/soil system and decipher the non-linear relationship between component spectra and canopy reflectance. It uses high order polynomial to interpret the scattering process inside canopy, and each coefficient of the polynomial expression represents the possibility with which the incident light, after multi-scattering of the components, goes out of the canopy and enters the sensor. This value depends on the canopy structure including crop cover rate, leaf distribution etc. So the polynomial model has the capability to invert the canopy structural parameters. This study is designed to invert the crop cover rate using this model. Firstly the canopy reflectance model SAILH is used to simulate BRDF spectra and the corresponding cover rates. Then the relationship between the polynomial coefficients from the polynomial expression model and cover rates is built. Finally, an experiment is designed to validate the model inversion.
Keywords:BRDF
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