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MERIS PERFORMANCE IN THE EAST CHINA SEAS: EVALUATION OF ATMOSPHERIC CORRECTION AND OPTICAL INVERSION ALGORITHMS

机译:东海的Meris表现:大气校正和光学反演算法的评估

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Spectral remote sensing reflectance in the visible (Rrs(λ), sr{sup}(-1)) was derived from ENVISAT MERIS data over the East China Seas, and compared with those determined from concurrent in situ measurements between 2003 and 2007. The results showed that both the FUB plug-in module and the standard MERIS Level-2 data generally overestimated Rrs(λ), particularly in the blue, while FUB plug-in shows a significant improvement in accuracy compared to the standard MERIS L2 data. The MERIS and in situ Rrs(λ) were respectively used as input to a quasi-analytical algorithm to derive absorption coefficients of the various water constituents (phytoplankton, colored organic matter and detritus), and compared with those determined in situ. There was slight improvement in the FUB-derived absorption as compared with that from the MERIS L2 data. The derived absorption from in situ Rrs(λ) were apparently improved compared with those derived from MERIS Rrs(λ). The Rrs(λ)-based algorithm for the retrieval of diffuse attenuation coefficient, K490 (m{sup}(-1)), was adjusted to include a term Rrs(670), which showed the better results.
机译:可见光(RRS(λ),SR {SUP}( - 1)中的光谱遥感反射率来自东部海洋的Envisat Meris数据,与2003年至2007年之间的原位测量中确定的那些相比。该结果表明,与标准Meris L2数据相比,FUB插入式模块和标准MERIS-2数据一般大约高估RRS(λ),特别是在蓝色中显示出精度的显着提高。 MERIS和原位RRS(λ)分别用作准分析算法的输入,以推导出各种水成分(浮游植物,彩色有机物和碎屑)的吸收系数,并与原位测定的那些。与来自Meris L2数据相比,FUB衍生的吸收略有改善。与来自Meris RRS(λ)的那些相比,从原位RRS(λ)的衍生吸收显然改善。被调整的RRS(λ)基于漫反应系数的RRS算法K490(M {SUP}( - 1))以包括术语RRS(670),其显示出更好的结果。

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