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首页> 外文期刊>Estuarine Coastal and Shelf Science >An optical model for the remote sensing of coloured dissolved organic matter in coastal/ocean waters
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An optical model for the remote sensing of coloured dissolved organic matter in coastal/ocean waters

机译：沿海/海洋水中有色溶解有机物遥感的光学模型

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An optical model is developed for the remote sensing of coloured dissolved organic matter (CDOM) in a wide range of waters within coastal and open ocean environments. The absorption of CDOM (denoted as a-g) is generally considered as an exponential form model, which has two important parameters - the slope S and absorption of CDOM at a reference wavelength a-g(λ-0). The empirical relationships for deriving these two parameters are established using in-situ bio-optical datasets. These relationships use the spectral remote sensing reflectance (R-TS) ratio at two wavelengths R-rs(670)/R-rs(490), which avoids the known atmospheric correction problems and is sensitive to CDOM absorption and chiorophyi! in coastal/ ocean waters. This ratio has tight relationships with a-g(412) and a-g(443) yielding correlation coefficients between 0.77 and 0.78. The new model, with the above parameterization applied to independent datasets (NOMAD SeaWiFS match-ups and Carder datasets), shows good retrievals of the a-g(λ) with regression slopes close to unity, little bias and low mean relative and root mean square errors. These statistical estimates improve significantly over other inversion models (e.g., Linear Matrix-LM and Garver-Siegel-Maritorena-GSM semi-analytical models) when applied to the same datasets. These results demonstrate a good performance of the proposed model in both coastal and open ocean waters, which has the potential to improve our knowledge of the biogeochemical cycles and processes in these domains.
机译：开发了一种光学模型，用于在沿海和远洋环境中的广泛水域中遥感彩色溶解有机物（CDOM）。 CDOM的吸收（表示为a-g）通常被认为是指数形式的模型，它具有两个重要参数-斜率S和参考波长a-g（λ-0）下CDOM的吸收。使用原位生物光学数据集建立了导出这两个参数的经验关系。这些关系使用在两个波长R-rs（670）/ R-rs（490）处的光谱遥感反射率（R-TS）比率，这避免了已知的大气校正问题，并且对CDOM的吸收和吸光度敏感！在沿海/海洋水域。该比率与a-g（412）和a-g（443）紧密相关，从而得出相关系数在0.77和0.78之间。新模型将上述参数化应用于独立数据集（NOMAD SeaWiFS匹配数据和Carder数据集），显示了ag（λ）的良好检索，回归斜率接近于单位，偏差很小，平均相对和均方根误差低。当应用于相同数据集时，这些统计估算值比其他反演模型（例如，线性矩阵LM和Garver-Siegel-Maritorena-GSM半分析模型）有显着改善。这些结果证明了该模型在沿海和开放海域中均具有良好的性能，这有可能提高我们对这些领域中生物地球化学循环和过程的认识。

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