Atmospheric correction (AC) is a key step in ocean color remote sensing for obtaining oceanic and coastal water ecosystem products. However, traditional NIR-based AC scheme (${\text{AC}}_{\text{NIR}}$) often fails in turbid coastal waters dominated by high suspended particulate matter (SPM). SWIR-based AC is valid for turbid waters, but it cannot be applied to some satellite sensors (e.g., Sea-viewing Wide Field-of-view Sensor (SeaWiFS), MEdium Resolution Imaging Spectrometer (MERIS), and future small satellite sensors) that have no SWIR bands. To obtain reliable data of turbid coastal waters by these sensors without SWIR bands, an improved ${\text{AC}}_{\text{NIR}}$ (${\text{AC}}_{\text{NIR-PRO}}$) scheme is proposed herein based on the frame of traditional ${\text{AC}}_{\text{NIR}}$ (${\text{AC}}_{\text{NIR-STA}}$). The synthesized and in situ datasets are analyzed to extend bio-optical models of absorption and backscattering coefficients in ${\text{AC}}_{\text{NIR-STA}}$ to highly turbid waters. ${\text{AC}}_{\text{NIR-PRO}}$ utilizes concentrations of both chlorophyll-a ([Chla]) and SPM ([SPM]) to estimate water-leaving contributions at the NIR bands. Similar to NIR-SWIR AC, ${\text{AC}}_{\text{NIR-PRO}}$ can obtain the information of global coastal waters with remote sensing reflectance at 862 nm ($R_{rs}\left(862\right)$) up to $0.025\sim 0.03{\text{sr}}^{-1}$. $R_{rs}$ of ${\text{AC}}_{\text{NIR-PRO}}$ is also validated by AERONET-OC datasets (mean absolute percent difference (MAPD) of $R_{rs}\left(551\right)$ is approximately 16%) for various coastal waters including high colored dissolved organic matter. Further, the magnitude and spatial patterns of [SPM] and [Chla] derived from the $R_{rs}$ products after performing ${\text{AC}}_{\text{NIR-PRO}}$ are significantly better than those from ${\text{AC}}_{\text{NIR-STA}}$, especially for turbid coastal waters.

大气校正（AC）是海洋颜色遥感获取海洋和沿海水域生态系统产品的关键步骤。然而，传统的基于 NIR 的 AC 方案（${\text{交流电}}_{\text{近红外}}$) 经常在以高悬浮颗粒物 (SPM) 为主的浑浊沿海水域中失败。基于SWIR的AC适用于浑水，但不适用于某些卫星传感器（例如，海景宽视场传感器（SeaWiFS）、中分辨率成像光谱仪（MERIS）和未来的小型卫星传感器）没有 SWIR 波段。为了通过这些没有 SWIR 波段的传感器获得沿海浑浊水域的可靠数据，一种改进的${\text{交流电}}_{\text{近红外}}$ (${\text{交流电}}_{\text{近红外}}$) 方案是在传统框架的基础上提出的 ${\text{交流电}}_{\text{近红外}}$ (${\text{交流电}}_{\text{近红外光谱仪}}$）。分析合成和原位数据集以扩展吸收和背向散射系数的生物光学模型${\text{交流电}}_{\text{近红外光谱仪}}$ 到高度浑浊的水域。 ${\text{交流电}}_{\text{近红外}}$利用叶绿素-a ([Chla]) 和 SPM ([SPM]) 的浓度来估计 NIR 波段的水离开贡献。类似于 NIR-SWIR AC，${\text{交流电}}_{\text{近红外}}$ 可在862 nm遥感反射率下获取全球近海信息（${\mathrm{电阻}}_{r秒}\left(862\right)$） 取决于 $0.025～0.03{\text{sr}}^{-1}$. ${\mathrm{电阻}}_{r秒}$ 的 ${\text{交流电}}_{\text{近红外}}$ AERONET-OC 数据集也验证了（平均绝对百分比差异 (MAPD) ${\mathrm{电阻}}_{r秒}\left(551\right)$约 16%）用于各种沿海水域，包括高颜色溶解有机物。此外，[SPM] 和 [Chla] 的幅度和空间模式源自${\mathrm{电阻}}_{r秒}$ 执行后的产品 ${\text{交流电}}_{\text{近红外}}$ 明显优于那些来自 ${\text{交流电}}_{\text{近红外光谱仪}}$，尤其适用于浑浊的沿海水域。