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Classification of Case-Ⅱ waters using Hyperspectral (HICO) Data over North Indian Ocean

机译:使用北印度洋上的高光谱(HICO)数据对Case-Ⅱ水域进行分类

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State of the art Ocean color algorithms are proven for retrieving the ocean constituents (chlorophyll-a, CDOM and Suspended Sediments) in case-Ⅰ waters. However, these algorithms could not perform well at case-Ⅱ waters because of the optical complexity. Hyperspectral data is found to be promising to classify the case-Ⅱ waters. The aim of this study is to propose the spectral bands for future Ocean color sensors to classify the case-Ⅱ waters. Study has been performed with Rrs's of HICO at estuaries of the river Indus and GBM of North Indian Ocean. Appropriate field samples are not available to validate and propose empirical models to retrieve concentrations. The sensor HICO is not currently operational to plan validation exercise. Aqua MODIS data at case-Ⅰ and Case-Ⅱ waters are used as complementary to in-situ. Analysis of Spectral reflectance curves suggests the band ratios of Rrs 484 nm and Rrs 581 nm, Rrs 490 nm and Rrs 426 nm to classify the Chlorophyll -a and CDOM respectively. Rrs 610 nm gives the best scope for suspended sediment retrieval. The work suggests the need for ocean color sensors with central wavelength's of 426, 484, 490, 581 & 610 nm to estimate the concentrations of Chl-a, Suspended Sediments and CDOM in case-Ⅱ waters.
机译:先进的海洋色彩算法已被证明可用于在案例一的水域中检索海洋成分(叶绿素-a,CDOM和悬浮沉积物)。然而,由于光学复杂性,这些算法在案例Ⅱ水域中表现不佳。发现高光谱数据有望对案例Ⅱ水域进行分类。这项研究的目的是为将来的海洋颜色传感器提出光谱带,以对案例Ⅱ水域进行分类。在印度河(Indus)和北印度洋的GBM的河口,已经进行了HICO的研究。没有适当的现场样本可用于验证和提出经验模型以检索浓度。传感器HICO当前无法运行以计划验证工作。案例Ⅰ和案例Ⅱ水域的Aqua MODIS数据被用作对原位的补充。光谱反射率曲线的分析表明,Rrs 484 nm和Rrs 581 nm,Rrs 490 nm和Rrs 426 nm的谱带比分别对叶绿素-a和CDOM进行分类。 610 nm Rrs为悬浮沉积物的回收提供了最佳范围。这项工作表明,需要使用中心波长为426、484、490、581和610 nm的海洋颜色传感器来估计Case-II水中Chl-a,悬浮沉积物和CDOM的浓度。

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