Adequacy of semi-analytical water reflectance models in ocean-color remote sensing

Jing Tan, R. Frouin, D. Ramon, F. Steinmetz
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引用次数: 2

Abstract

Algorithms to retrieve ocean color from space, deterministic or statistical, often use a simplified water reflectance model, specified by a few parameters (e.g., chlorophyll concentration, backscattering and absorption coefficients at a given wavelength). The model, however, may not be representative of the worldwide ocean conditions, since many variables affecting reflectance are fixed at some average values. In this context, the semi-analytical model of Park and Ruddick (2005), PR05, used in the spectral matching POLYMER algorithm (Steinmetz et al., 2011), is examined in terms of its ability to represent properly water reflectance. The PR05 model depends on chlorophyll-a concentration, a parameter specifying the contribution of algal and non-algal particles to the backscattering coefficient, and a parameter allowing different absorption coefficients for dissolved organic matter. Model estimates at MODIS wavelengths, obtained for a representative set of Case 1 and Case 2 waters, are compared with Hydrolight calculations that include fluorescence and Raman scattering and AERONET-OC measurements. The accuracy of retrieving inherent optical properties (IOPs) using the reconstructed reflectance is also evaluated. The model parameters that give the best fit with the simulated data are determined. Agreement is generally good between the two- or three-parameter model results and Hydrolight/AERONETOC values, even in optically complex waters, with discrepancies much smaller than typical atmospheric correction errors. Significant differences exist in some cases, but having a more intricate model (i.e., using more parameters) might not guarantee convergence of the inversion scheme. The trade-off is between efficiency/robustness and accuracy. Significant errors are observed when using the model estimates to retrieve IOPs. Importantly, the model parameters that best fit the input data, in particular chlorophyll-a concentration, may not represent adequately actual values. The reconstructed water reflectance, not the retrieved model parameters, should be used in bio-optical algorithms.
半解析水反射率模型在海洋色遥感中的充分性
从空间检索海洋颜色的算法,无论是确定性的还是统计的,通常使用由几个参数指定的简化的水反射模型(例如,叶绿素浓度、特定波长下的后向散射和吸收系数)。然而,该模式可能不能代表全世界的海洋状况,因为许多影响反射率的变量固定在某个平均值上。在这种情况下,在光谱匹配聚合物算法(Steinmetz等人,2011)中使用的Park和Ruddick (2005), PR05的半解析模型,在其适当表示水反射率的能力方面进行了检查。PR05模型依赖于叶绿素-a浓度,这是一个指定藻类和非藻类颗粒对后向散射系数贡献的参数,也是一个允许溶解有机质不同吸收系数的参数。对典型的情形1和情形2水域的MODIS波长的模型估计,与包括荧光和拉曼散射以及AERONET-OC测量在内的Hydrolight计算进行了比较。利用重建的反射率检索固有光学特性(IOPs)的精度也进行了评估。确定了与模拟数据拟合最优的模型参数。即使在光学复杂的水域,两参数或三参数模型结果与Hydrolight/AERONETOC值之间的一致性通常很好,其差异远小于典型的大气校正误差。在某些情况下存在显著差异,但拥有更复杂的模型(即使用更多参数)可能无法保证反演方案的收敛性。在效率/健壮性和准确性之间进行权衡。当使用模型估计来检索IOPs时,会观察到明显的错误。重要的是,最适合输入数据的模型参数,特别是叶绿素-a浓度,可能不能充分代表实际值。在生物光学算法中,应该使用重建的水反射率,而不是检索到的模型参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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