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Cloud effects on chlorophyll retrieval algorithm of MODIS

机译:云效应对MODIS叶绿素检索算法

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摘要

Ocean environment attracts more and more attention, whereas monitoring ocean environment using ocean color imagery (e.g., MODIS) has become one of the important fields in modem oceanography. After analyzing a few individual modules of the radiative transfer process, an end-to-end numerical model for ocean remote sensing is developed. This model combines MODTRAN and HYDROLIGHT, both are state-of-the-art radiative transfer models for atmosphere and water, respectively. Also, a simple but realistic cloud model is added to it. This combined model calculates the downward radiance on water surface using MODTRAN and the independent cloud model, which replaces the empirical and semi-empirical models used in RADTRAN (Gregg and Carder 1991). Especially, with information of cloud's location and brightness from by the cloud model, the combined model provides more accurate radiance on water surface. Further, the effects of cloud position (from 30 degree to 180 degree for the cloud central azimuth angle) and coverage (from about 10% to 80%) on retrieved chlorophyll concentration by standard MODIS algorithm is analyzed. It is found that the nearer the cloud to the Sun the smaller the effect on the derived chlorophyll.
机译:海洋环境吸引了越来越多的关注,而使用海洋彩色图像监测海洋环境(例如,Modis)已成为Modem海洋学中的重要领域之一。在分析辐射转移过程的几个单独模块之后,开发了海洋遥感的端到端数值模型。该模型将Modtran和水解器结合,两者都分别是用于大气和水的最先进的辐射转移模型。此外,将添加简单但逼真的云模型。该组合模型使用Modtran和独立的云模型计算水面的向下亮,取代了Radtran(GREGG和Carder 1991)中使用的经验和半实证模型。特别是,随着云模型的云的位置和亮度的信息,组合模型在水面上提供了更准确的亮度。此外,分析了通过标准MODIS算法检测到叶绿素浓度的云位置(从30度至180度的30度至180度)和覆盖(约10%至80%)的影响。结果发现,云到阳光越近,对衍生的叶绿素的影响越小。

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