Ocean reflectance spectra at the red, near‐infrared, and shortwave infrared from highly turbid waters: A study in the Bohai Sea, Yellow Sea, and East China Sea

光辉 海洋色 环境科学 大气校正 水色仪 短波 光谱辐射计 卫星 遥感 叶绿素a 有色溶解有机物 中分辨率成像光谱仪 海洋学 反射率 浮游植物 地质学 物理 化学 辐射传输 营养物 量子力学 生物化学 天文 光学 有机化学
作者
Wei Shi,Menghua Wang
出处
期刊:Limnology and Oceanography [Wiley]
卷期号:59 (2): 427-444 被引量:70
标识
DOI:10.4319/lo.2014.59.2.0427
摘要

Normalized water‐leaving radiance spectra nL w ( λ ) at the red, near‐infrared (NIR), and shortwave infrared (SWIR) are quantified and characterized in highly turbid waters of the western Pacific using 3 yr (2009–2011) observations from the Moderate Resolution Imaging Spectroradiometer on the satellite Aqua. nL w (645; red), nL w (859; NIR), and nL w (1240; SWIR) were higher in the coastal region and river estuaries, with SWIR nL w (1240) reaching up to ∼ 0.2 mW cm −2 µm −1 sr −1 in Hangzhou Bay during winter. The NIR ocean‐reflectance spectral shape represented by the ratio of the normalized water‐leaving reflectance ρ w N ( λ ) at the two NIR bands ρ w N (748) : ρ w N (869) is highly dynamic and region‐dependent. The NIR spectral feature associated with the sediment source from the Yellow River and Ancient Yellow River is noticeably different from that of the Yangtze River. There are non‐negligible SWIR nL w (1240) contributions for waters with the NIR nL w (859) > ∼ 2.5 mW cm −2 µm −1 sr −1 . Estimation of the NIR ocean reflectance with iterative approaches might only be accurate for turbid waters with nL w (859) < ∼ 1.5 mW cm −2 µm −1 sr −1 . Thus, the SWIR atmospherics correction algorithm for satellite ocean‐color data processing is indispensable to derive accurate nL w ( λ ) for highly turbid waters. Current existing satellite algorithms for chlorophyll a , diffuse attenuation coefficient at the wavelength of 490 nm ( K d (490)), total suspended matter, and inherent optical properties (IOPs) using nL w ( λ ) at the red band for coastal waters are limited and can only be applied to turbid waters with nL w (859) < ∼ 1.5 mW cm −2 µm −1 sr −1 . Thus, the NIR nL w ( λ ) measurements are required to characterize water properties for highly turbid waters. Based on the fact that pure water absorption is significantly larger than other absorption components in the NIR wavelengths, we show that it is feasible to analytically derive accurate IOP data for turbid waters with combined satellite‐measured visible‐NIR nL w ( λ ) spectra data.
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