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Remote sensing of diffuse attenuation coefficient using MODIS imagery of turbid coastal waters: A case study in Bohai Sea

机译:基于MODIS影像的沿海浑水扩散衰减系数遥感-以渤海为例。

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The objectives of this study are to evaluate the applicability of three existing retrieval algorithms of diffuse attenuation coefficients of downwelling irradiance at 490nm, K_d(490), for turbid Case II waters, and to improve these existing models using a simple semi-analytical (SSA) model. In this study, based on comparison of the K_d(490) predicted by these models with field measurements taken in the Bohai Sea and Yellow Sea, it is shown that the SSA model provides a stronger performance than these three selected existing models. The atmospheric influences on the MODIS data are removed using an improved shortwave infrared band-based (ISWIR-based) model, which is capable of retrieving spectral remote sensing reflectance within 19% uncertainty. The K_d(490) data was quantified from the MODIS images after atmospheric correction using the SSA model and Wang's model. The study results indicate that the SSA model produces 31.51% uncertainty in deriving K_d(490) from MODIS data, which is 12.1% higher than Wang's model. This study demonstrates the potential of the SSA model in estimating K_d(490) even in highly turbid coastal waters.
机译:这项研究的目的是评估浑浊的II类水域中三种现有的490nm下辐照度扩散衰减系数检索算法K_d(490)的适用性,并使用简单的半分析(SSA)改进这些现有模型。 )模型。在这项研究中,基于这些模型预测的K_d(490)与在渤海和黄海进行的现场测量的比较,表明SSA模型比这三个现有模型具有更强的性能。使用改进的基于短波红外波段(基于ISWIR)的模型消除了大气对MODIS数据的影响,该模型能够在19%的不确定性范围内检索光谱遥感反射率。使用SSA模型和Wang模型从大气校正后的MODIS图像中量化了K_d(490)数据。研究结果表明,SSA模型在从MODIS数据推导K_d(490)时产生31.51%的不确定性,比Wang的模型高12.1%。这项研究表明,即使在高度混浊的沿海水域中,SSA模型在估计K_d(490)方面的潜力也是如此。

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