Retrieval of total suspended particulate matter in highly turbid waters of Hangzhou Bay using polarizing spectra data

机译：利用偏振光谱数据反演杭州湾高混浊水中总悬浮颗粒物

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The total suspended particulate matter (TSM) in coastal waters has a great impact on the ocean ecosystem. Based on the in situ measurements of the TSM as well as the degree of polarization (DOP) of the upward radiance just above sea surface, the relationships between the TSM and DOP were investigated. The results indicated that the DOP was negatively correlated with the TSM concentration well. Moreover, the regional TSM algorithms were developed using band ratios of DOP at 490nm/570nm and 520nm/570nm, respectively. There were good agreements between the DOP-retrieved and in-situ TSM concentrations, with the minimum relative deviation of27.8% and 29.9%, respectively.

机译：沿海水域中的总悬浮颗粒物（TSM）对海洋生态系统有很大影响。基于TSM的原位测量以及正好在海面之上的向上辐射的偏振度（DOP），研究了TSM和DOP之间的关系。结果表明，DOP与TSM浓度呈负相关。此外，区域TSM算法分别使用DOP在490nm / 570nm和520nm / 570nm的波段比例开发。 DOP回收的TSM浓度与原位TSM浓度之间存在良好的一致性，最小相对偏差分别为27.8％和29.9％。

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《Conference on remote sensing and modeling of ecosystems for sustainability》|2014年|92210S.1-92210S.8|共8页
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Jia Liu; Qiankun Zhu; Fang Gong; Xianqiang He; Jianyu Chen; Haiqing Huang;
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Hangzhou Bay; suspended particulate matter; polarization; inversion algorithm;

机译：杭州湾悬浮颗粒物;极化;反演算法;

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1. Spectral signature of highly turbid waters application with SPOT data to quantify suspended particulate matter concentrations [J] . David Doxaran, Jean-Marie Froidefond, Samantha Lavendel, Remote Sensing of Environment: An Interdisciplinary Journal . 2002,第1期

机译：使用SPOT数据对高浊水应用的光谱特征进行量化，以量化悬浮颗粒物的浓度
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机译：Terra MODIS辅助从高分1宽场成像仪（WFI）多光谱图像中提取总悬浮物浓度-后海湾案例
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机译：半解析算法的开发，用于从清澈到浑浊的水域中的遥感中检索悬浮颗粒物
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机译：基于地球静止海洋彩色成像仪的高度混浊杭州湾水域总悬浮颗粒物反演
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机译：通过与X射线显微分析和图像分析相结合的扫描电子显微镜，对纽约市饮用水水库中悬浮颗粒物的单个颗粒进行分析。
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机译：从Sentinel-2 MSI和Landsat-8 Oli传感器检索浊水中悬浮颗粒物质浓度的一致性
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机译：利用Terra MODIS辅助从高分1宽场成像仪（WFI）多光谱图像中提取总悬浮物浓度-以后海湾为例
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机译：凤凰城地区悬浮颗粒物实施方案。第三卷。总悬浮颗粒物的模型模拟。

Retrieval of total suspended particulate matter in highly turbid waters of Hangzhou Bay using polarizing spectra data

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