Abstract

This work is devoted to estimating the spectral course of validation error of satellite and in situ measurements of remote sensing reflectance for various atmospheric conditions. During data validation, a number of systematic errors of standard algorithms were noted, for example, negative values of remote sensing reflectance in the short-wavelength region at 412 and 443 nm in the presence of dust in the atmosphere. It is shown that the modern approach to determining aerosol light scattering in the short-wavelength part of the visible range by extrapolating the signal from the near-IR region is not sufficiently correct from a physical point of view, and similar solutions by the interpolation method have more accurate estimates. The obtained results show that in the presence of an absorbing aerosol, the spectral law of atmospheric correction errors is close to the function λ^–4. This effect is explained by the fact that dust aerosol is determined by remote sensing methods using the Gordon and Wang algorithms using the infrared channel, but arid aerosol has the main effect on the ratio of the aerosol and molecular components (shortwave range). This paper presents trends for further interpolation of satellite data not only under the condition of a clean atmosphere, but also in the presence of an absorbing aerosol. Experimental patterns of validation error for Aqua MODIS have been obtained.

中文翻译：

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不同大气条件下遥感反射率反演海洋颜色大气改正算法的差异

摘要

这项工作致力于估计卫星验证误差的光谱过程以及各种大气条件下遥感反射率的原位测量。在数据验证过程中，发现标准算法存在一些系统误差，例如，在大气中存在灰尘的情况下，412和443 nm短波长区域的遥感反射率出现负值。结果表明，从物理角度来看，通过外推近红外区域信号来确定可见光范围短波长部分气溶胶光散射的现代方法不够正确，并且通过插值法得出类似解决方案有更准确的估计。所得结果表明，在吸收气溶胶存在的情况下，大气改正误差的谱律接近于函数λ ^–4。这种效应的解释是，灰尘气溶胶是通过使用红外通道的 Gordon 和 Wang 算法的遥感方法确定的，但干燥气溶胶对气溶胶和分子成分（短波范围）的比率有主要影响。本文提出了卫星数据进一步插值的趋势，不仅在清洁大气的条件下，而且在存在吸收性气溶胶的情况下。已经获得了Aqua MODIS验证误差的实验模式。