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Polynomial analysis of canopy spectra and biochemical component content inversion

science China Earth sciences 2005年第10期48卷 1780-1791页

作者： yan chunyan1, liu qiang1, niu zheng1, {3. jihua2. huang wenjiang2.& liu liangyun 2.1. state key {12. of Remote Sensing {{13., jointly sponsored by the institute of Remote Sensing applications of chinese academy of sciences and beijing normal {23., beijing 100101, China 2. National Engineering Research Center for Information Technology in Agriculture, beijing 100089, China state key {2. of Remote Sensing {3. jointly sponsored by the institute of Remote Sensing applications of chinese academy of sciences and beijing {{12. {{13. beijing China National Engineering Research Center for Information Technology in Agriculture beijing China

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 re-trieving 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 coeffi-cients 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 a10 and a01 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 re-spectively, 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.

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

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