ADEOS-II/GLIの生物光学アルゴリズム
ADEOS-II/GLIの生物光学アルゴリズム
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ADEOS-II/GLI生物光学算法
DOI：
10.11440/rssj.29.80
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发表时间：
2009
影响因子：
--
通讯作者：
M. Kahru
中科院分区：
文献类型：
--
作者：
B. Mitchell;M. Kahru
描述了为 GLI 开发的经验生物光学算法。这些算法可用于从 GLI 归一化水检索水中特性，从而在温带 Case + 水域中留下辐射率。 OC。 Chl-a 算法对海洋上不饱和的波段使用最大波段比切换程序。 GLI 是唯一具有紫外线 (UV) 波段的海洋颜色传感器，我们开发了一种实验性赤潮紫外线指数，用于早期检测甲藻水华。赤潮指数利用类菌孢素氨基酸 (MAAs) 增加的紫外线吸收。为南大洋案例 + 水域开发了特殊版本的 Chl-a 算法。标准算法不能应用于浑浊的近岸水域，例如o# 韩国和香港，其生物光学特性与 Case + 特性有很大偏差。为凯斯水域开发新的和改进的算法是生物光学海洋学的主要挑战。
Empirical bio-optical algorithms developed for GLI are described. These algorithms can be used to retrieve in-water properties from GLI normalized water leaving radiances in temperate Case + waters. The OC. Chl-a algorithm uses the maximum band ratio switching procedure for bands that do not saturate over the ocean. GLI is the only ocean color sensor that has ultra-violet (UV) bands and we developed an experimental red tide UV index for the early detection of dinoflagellate blooms. The red tide index uses the increased absorption of UV light by mycosporine-like amino-acids (MAAs). A special version of the Chl-a algorithm was developed for the Southern Ocean Case + waters. The standard algorithms cannot be applied to turbid near-shore waters, e.g. o# Korea and Hong Kong where bio-optical characteristics deviate drastically from Case + characteristics. Developing new and improved algorithms for Case , waters is a major challenge in bio-optical oceanography.