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Atmospheric correction of ocean color imagery: use of the Junge power-law aerosol size distribution with variable refractive index to handle aerosol absorption

机译:海洋色彩图像的大气校正:使用具有可变折射率的Jungle幂律气溶胶尺寸分布来处理气溶胶吸收

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摘要

When strongly absorbing aerosols are present in the atmosphere, the usual two-step procedure of processing ocean color data-(1) atmospheric correction to provide the water-leaving reflectance (rho(w)), followed by (2) relating rho(w) to the water constituents-fails and simultaneous estimation of the ocean and aerosol optical properties is necessary. We explore the efficacy of using a simple model of the aerosol-a Junge power-law size distribution consisting of homogeneous spheres with arbitrary refractive index-in a nonlinear optimization procedure for estimating the relevant oceanic and atmospheric parameters for case 1 waters. Using simulated test data generated from more realistic aerosol size distributions (sums of log-normally distributed components with different compositions), we show that the ocean's pigment concentration (C) can be retrieved with good accuracy in the presence of weakly or strongly absorbing aerosols. However, because of significant differences in the scattering phase functions for the test and power-law distributions, large error is possible in the estimate of the aerosol optical thickness. The positive result for C suggests that the detailed shape of the aerosol-scattering phase function is not relevant to the atmospheric correction of ocean color sensors. The relevant parameters are the aerosol single-scattering albedo and the spectral variation of the aerosol optical depth. We argue that the assumption of aerosol sphericity should not restrict the validity of the algorithm and suggest an avenue for including colored aerosols, e.g., wind-blown dust, in the procedure. A significant advantage of the new approach is that realistic multicomponent aerosol models are not required for the retrieval of C. (C) 1998 Optical Society of America. [References: 32]
机译:当大气中存在吸收强的气溶胶时,处理海洋颜色数据的常规两步过程-(1)大气校正以提供出水反射率(rho(w)),然后是(2)关联rho(w )到水成分失败,并且同时估算海洋和气溶胶的光学特性是必要的。我们探索了在非线性优化程序中使用简单模型的气溶胶-Junge幂律大小分布模型(由具有任意折射率的均质球组成)的有效性来估计案例1水域的相关海洋和大气参数。使用从更现实的气溶胶尺寸分布(具有不同成分的对数正态分布的分量之和)生成的模拟测试数据,我们表明,在存在弱吸收或强吸收的气溶胶的情况下,可以高精度地检索海洋中的色素浓度(C)。但是,由于测试和幂律分布的散射相位函数存在显着差异,因此在气溶胶光学厚度的估算中可能会出现较大误差。 C的正面结果表明,气溶胶散射相位函数的详细形状与海洋颜色传感器的大气校正无关。相关参数是气溶胶单散射反照率和气溶胶光学深度的光谱变化。我们认为,气溶胶球形度的假设不应限制算法的有效性,并建议在程序中包括有色气溶胶(例如风吹尘埃)的途径。这种新方法的一个显着优点是,检索C.(C)1998美国光学学会不需要实际的多组分气溶胶模型。 [参考:32]

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