内陆湖颗粒物后向散射比与双向反射分布函数因子的关系

Remote. Sens. Pub Date : 2023-07-03 DOI:10.3390/rs15133392
Yu Zhang, Lifu Zhang, Changping Huang, Y. Cen, Q. Tong
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引用次数: 0

摘要

双向反射分布函数(BRDF)因子为内陆水域的固有光学特性和表观光学特性(IOPs和AOPs)之间提供了一座桥梁。以前的BRDF研究集中在海洋水域,而很少有研究考察内陆水域。这对提高内陆水域水面遥感理论和影像推导精度具有重要意义。在本研究中,采用辐射传输模拟方法,结合实际边界条件(N = 11,232),在适当的IOPs下计算出f '值。研究结果表明,有限深度的南四湖的f′因子变化范围为0.33 ~ 16.64,高于海洋的观测范围(0.3 ~ 0.6)。结果表明,因子f′不仅与太阳天顶角θs有关,还与平均碰撞次数n−和粒子后向散射比b~bp有关。在400 ~ 650 nm范围内,随着太阳天顶角的增大,其系数呈几何级数的连续增大,而在650 ~ 750 nm范围内,随着b~bp和n -的减小,其系数相对不敏感。为了解释这些发现,提出了南四湖水域在不同光谱波长下的f′因子作为θs、n−和b~bp函数的两个经验模型。我们的研究结果对于获得高光谱归一化反射率或归一化离水辐射以及提高卫星产品的精度具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dependence of the Bidirectional Reflectance Distribution Function Factor ƒ′ on the Particulate Backscattering Ratio in an Inland Lake
The bidirectional reflectance distribution function (BRDF) factor ƒ′ provides a bridge between the inherent and apparent optical properties (IOPs and AOPs) of inland waters. The previous BRDF studies focused on ocean waters, while few studies examine inland waters. It is meaningful to improve the theory of remote sensing of water surface and the accuracy of image derivation in inland waters. In this study, radiative transfer simulation was applied to calculate the ƒ′ values using appropriate IOPs based on in situ combined with realistic boundary conditions (N = 11,232). This study shows that ƒ′ factor varied over the range of 0.33–16.64 in Lake Nansihu, a finite depth water, higher than the range observed for the ocean (0.3–0.6). Our results demonstrate that the factor ƒ′ depends on not only solar zenith angle (θs) but also the average number of collisions (n−) and particulate backscattering ratio (b~bp). The ƒ′ factor shows a continuous geometric increase as the solar zenith angle increases at 400–650 nm but is relatively insensitive to solar angle in the 650–750 nm range in which ƒ′ increases as b~bp and n− decreases. To account for these findings, two empirical models for ƒ′ factor as a function of θs, n− and b~bp are proposed in various spectral wavelengths for Lake Nansihu waters. Our results are crucial for obtaining Hyperspectral normalized reflectance or normalized water-leaving radiance and improving the accuracy of satellite products.
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