Lee ZhongPing, Arnone Robert, Hu Chuanmin, Werdell P Jeremy, Lubac Bertrand
Northern Gulf Institute, Mississippi State University, Stennis Space Center, Mississippi 39529, USA.
Appl Opt. 2010 Jan 20;49(3):369-81. doi: 10.1364/AO.49.000369.
Following the theory of error propagation, we developed analytical functions to illustrate and evaluate the uncertainties of inherent optical properties (IOPs) derived by the quasi-analytical algorithm (QAA). In particular, we evaluated the effects of uncertainties of these optical parameters on the inverted IOPs: the absorption coefficient at the reference wavelength, the extrapolation of particle backscattering coefficient, and the spectral ratios of absorption coefficients of phytoplankton and detritus/gelbstoff, respectively. With a systematically simulated data set (46,200 points), we found that the relative uncertainty of QAA-derived total absorption coefficients in the blue-green wavelengths is generally within +/-10% for oceanic waters. The results of this study not only establish theoretical bases to evaluate and understand the effects of the various variables on IOPs derived from remote-sensing reflectance, but also lay the groundwork to analytically estimate uncertainties of these IOPs for each pixel. These are required and important steps for the generation of quality maps of IOP products derived from satellite ocean color remote sensing.
依据误差传播理论，我们开发了解析函数，以说明和评估由准解析算法（QAA）推导的固有光学特性（IOPs）的不确定性。具体而言，我们评估了这些光学参数的不确定性对反演得到的IOPs的影响：分别为参考波长处的吸收系数、颗粒后向散射系数的外推值，以及浮游植物和碎屑/黄色物质吸收系数的光谱比。通过一个系统模拟数据集（46200个点），我们发现对于大洋水体，在蓝绿波段由QAA推导的总吸收系数的相对不确定性通常在±10%以内。本研究结果不仅为评估和理解各种变量对从遥感反射率推导的IOPs的影响建立了理论基础，还为分析估计每个像素这些IOPs的不确定性奠定了基础。这些是生成源自卫星海洋颜色遥感的IOP产品质量图所需的重要步骤。
