Polynomial analysis of canopy spectra and biochemical component content inversion

文献类型： 外文期刊

第一作者： Yan, CY

作者： Yan, CY;Liu, Q;Niu, Z;Wang, JH;Huang, WJ;Liu, LY

作者机构： Chinese Acad Sci & Beijing Normal Univ, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China;Chinese Acad Sci & Beijing Normal Univ, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; Natl Engn Res Ctr Informat Technol Agr, Beijing 100089, Peoples R China

关键词： polynomial expression; canopy spectra; decomposition; biochemical component content; inversion

期刊名称：SCIENCE IN CHINA SERIES D-EARTH SCIENCES （ 2011影响因子：1.588； 五年影响因子：1.42 ）

ISSN： 1006-9313

年卷期： 2005 年 48 卷 10 期

页码：

收录情况： SCI

摘要： A polynomial expression model was developed in this paper to describe directional canopy spectra, and the decomposition of the polynomial expression was used as a tool for retrieving biochemical component content from canopy multi-angle spectra. First, the basic formula of the polynomial expression was introduced and the physical meaning of its terms and coefficients was discussed. Based on this analysis, a complete polynomial expression model and its decomposition method were given. By decomposing the canopy spectra simulated with SAILH model, it shows that the polynomial expression can not only fit well the canopy spectra, but also show the contribution of every order scattering to the whole reflectance. Taking the first scattering coefficients a(10) and a(01) for example, the test results show that the polynomial coefficients reflect very well the hot spot phenomenon and the effects of viewing angles, LAI and leaf inclination angle on canopy spectra. By coupling the polynomial expression with leaf model PROSPECT, a canopy biochemical component content inversion model was given. In the simulated test, the canopy multi-angle spectra were simulated by two different models, SAILH and 4-SCALE respectively, then the biochemical component content was retrieved by inverting the coupled polynomial expression + PROSPECT model. Results of the simulated test are promising, and when applying the algorithm to measured corn canopy multi-angle spectra, we also get relatively accurate chlorophyll content. It shows that the polynomial analysis provides a new method to get biochemical component content independent of any specific canopy model.

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