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Estimating the underwater light field from remote sensing of ocean color

机译:估计海洋颜色遥感的水下光场

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We present a new approach that incorporates two models to estimate the underwater light field from remote sensing of ocean color. The first employs a series of analytical, semi-analytical, and empirical algorithms to retrieve the spectrum of inherent optical properties (IOPs), including the absorption and the backscatter coefficients, from the spectrum of remote sensing reflectance. The second model computes the profile of photosynthetically available radiation E0,PAR(z) for a vertically homogeneous water column using the information of the retrieved IOPs and the ambient optical environment. This computation is based on an improved look-up table technology that possesses high accuracy, comparable with the full solution of the radiative transfer equation, and meets the computational requirement of remote sensing application. This new approach was validated by in situ measurements and an extensive model-to-model comparison with a wide range of IOPs. We successfully mapped the compensation depth by applying this new approach to process the SeaWiFS imagery. This research suggests that E0,PAR(z) can be obtained routinely from ocean-color data and may have significant implications for the estimation of global heat and carbon budget.
机译:我们提出了一种新方法,该方法包含两个模型来估计水下光场免受海洋颜色的遥感。首先使用一系列分析,半分析和经验算法来检索固有光学性质(IOPS)的频谱,包括从遥感反射率的频谱的吸收和反向散射系数。第二种模型使用检索到的IOP和环境光学环境的信息计算用于垂直均匀的水柱的光合作用辐射e0,par(z)的轮廓。该计算基于具有高精度的改进的查找表技术,与辐射传输方程的完整解决方案相当,并且满足遥感应用的计算要求。通过原位测量验证这种新方法以及与各种IOPS的广泛模型比较。我们通过应用这种新方法来加工Seawifs图像来成功映射了补偿深度。该研究表明,E0,PAR(Z)可以常规地从海洋数据中获得,并且可能对全球热量和碳预算估计有重大影响。

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