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首页> 外文会议>SPIE Optical Engineering + Applications Conference >High Resolution chlorophyll-a Ocean Color products estimation in turbid estuary and clear open sea waters of the north South China Sea with Landsat-8 OLI
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High Resolution chlorophyll-a Ocean Color products estimation in turbid estuary and clear open sea waters of the north South China Sea with Landsat-8 OLI

机译：使用Landsat-8 OLI在南海北部浑浊的河口和清澈的公海中高分辨率叶绿素-a海洋颜色产品估算

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Remote-sensing of ocean colour has an advantage over any other biological data source for monitoring long-term global changes in phytoplankton biomass, due to its spatial and temporal sampling capabilities. Chlorophyll-a concentration (Chl-a) provide a proxy for phytoplankton biomass. The Operational Land Imager (OLI) is a multispectral radiometer hosted on the recently launched Landsat8 satellite, which is a potential tool for ocean color radiometry because it includes narrow band, high signal-to-noise ratios (SNRs) and the addition of a band centered at 443 nm, has competitive advantage in phytoplankton pigment Chl-a estimation compare with previous Landsat instruments. The aim of this work was to evaluate the performance of the standard NASA algorithm OC3 type for Landsat-8 OLI in determining Chl-a concentrations in both turbid estuary and clear open sea waters of the north South China Sea. in which the empirical coefficients were tuned by using field data and used 443-, 561-. and 655nm bands instead of 443-. 482 and 561nm bands. The standard OC3-based algorithm for OLI performed well in the Southeast continental shelf of Hainan Island (HNI). While empirical algorithm should be developed in the Pearl River estuary (PRE), and the comparisons between estimated and in situ measured Chl-a produced R2 reaching 0.88 and APD <30%. Furthermore, we assessed Chl-a products by conducting cross-validation with concurrent MODIS-Aqua and NPP VIIRS data, which demonstrate good consistency and minor deviation in HNI waters, while demonstrate good consistency but large deviation in the PRE waters. Our findings demonstrate the potential of high resolution OLI Chl-a products to study short-lasting events and capture fine-scale features in the marine environment in different cases waters. The OLI Chl-a products using standard OC3-based algorithm performed well in the case I waters, while regional algorithm should be developed basing on large field data in the estuary waters.
机译：海洋颜色的遥感在空间和时间上的采样能力优于其他任何生物数据源，可用于监测浮游植物生物量的长期全球变化。叶绿素-a浓度（Chl-a）提供了浮游植物生物量的替代指标。 Operational Land Imager（OLI）是托管在最近发射的Landsat8卫星上的多光谱辐射仪，这是海洋颜色辐射测定的潜在工具，因为它包括窄带，高信噪比（SNR）和附加频带中心波长为443 nm，与以前的Landsat仪器相比，在浮游植物色素Chl-a估计方面具有竞争优势。这项工作的目的是评估Landsat-8 OLI的标准NASA算法OC3类型在确定南海北部混浊河口和清澈海水中Chl-a浓度方面的性能。其中，使用现场数据调整了经验系数，并使用了443-，561-。和655nm波段，而不是443-。 482和561nm波段。基于OC3的基于OC3的标准算法在海南岛（HNI）的东南大陆架上表现良好。虽然应在珠江口（PRE）中开发经验算法，但估计值与现场测量值Chl-a之间的比较产生的R2达到0.88，APD <30％。此外，我们通过与同时的MODIS-Aqua和NPP VIIRS数据进行交叉验证来评估Chl-a产品，这些数据在HNI水中显示出良好的一致性和较小的偏差，而在PRE水中显示出良好的一致性但存在较大的偏差。我们的发现表明，高分辨率OLI Chl-a产品具有潜力，可以研究持续时间较短的事件，并在不同情况下的水域中捕获海洋环境中的精细尺度特征。使用标准的基于OC3的算法的OLI Chl-a产品在I类水域中表现良好，而应基于河口水域中的大量现场数据开发区域算法。

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