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首页> 外文期刊>International journal of remote sensing >A combined semi-analytical algorithm for retrieving total suspended sediment concentration from multiple missions: a case study of the China Eastern Coastal Zone
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A combined semi-analytical algorithm for retrieving total suspended sediment concentration from multiple missions: a case study of the China Eastern Coastal Zone

机译:从多次任务中检索总悬浮沉积物浓度的组合半分析算法 - 以中国东部沿海地区为例

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摘要

A new semi-analytical algorithm that retrieves the total concentration of suspended matter (TSM) was derived from the China Eastern Coastal Zone using multiple ocean colour instruments including the Visible Infrared Imaging Radiometer (VIIRS), the Moderate-resolution Imaging Spectroradiometer (MODIS), and the Medium Resolution Spectral Imager II (MERSI II). The algorithm in one model derives TSM concentration (C-TSM) from satellite inherent optical properties products for clear and moderately turbid water. For turbid waters, a second model with a four-band approach was used. The two model algorithms were combined into one algorithm using a linking weighted function to generate a smooth C-TSM for clear and turbid water and for water with intermediate transparency. Compared to eight existing algorithms, our new algorithm performed better with a wide dynamic range for the C-TSM retrievals. The mean absolute percent difference was 28.22% for the CECZ data and the C-TSM varied from 0.5 mg l(-1) to 2435.4 mg l(-1). New algorithm decreased the MAPD by 11% for the C-TSM retrievals compared to the eight existing algorithms. Furthermore, when new algorithm was tested with a synthetic data set that had been contaminated with residual error, it exhibited more residual error tolerance than the other algorithms when retrieving C-TSM, which agreed well with the results provided by a multi-mission consistency analysis. These results indicate that new algorithm could provide accurate and consistent multi-mission C-TSM from turbid coastal water with a widely varying range of C-TSM.
机译:一种新的半分析算法,使用包括可见红外成像辐射计(Viirs),中频分辨率成像光谱仪(MODIS),从而从中国东部沿海地区获得悬浮物(TSM)总浓度的半分析算法。和中测频谱成像器II(MERSI II)。一种模型中的算法来自卫星固有光学特性产品的TSM浓度(C-TSM),用于清晰和中等浑浊水。对于浊度水,使用具有四带方法的第二模型。将这两种模型算法组合成一种算法,使用连接加权功能,以产生用于透明和浑水的平滑C-TSM,以及中间透明度的水。与八个现有算法相比,我们的新算法更好地执行了C-TSM检索的宽动态范围。 CECZ数据的平均绝对差异为28.22%,C-TSM从0.5mg L(-1)变化至2435.4mg L(-1)。与八个现有算法相比,新算法通过& 11%的C-TSM检索减少了11%。此外,当用已被残留误差污染的合成数据集进行新算法进行了测试时,它在检索C-TSM时表现出比其他算法更多的剩余误差容差,这与多项任务一致性分析提供的结果很好地商定。这些结果表明,新算法可以提供浑浊沿海水的准确和一致的多功率C-TSM,具有广泛的C-TSM范围。

著录项

  • 来源
    《International journal of remote sensing》 |2021年第20期|8004-8033|共30页
  • 作者单位

    Xi An Jiao Tong Univ Sch Human Settlements & Civil Engn Xian 710049 Peoples R China;

    Xi An Jiao Tong Univ Sch Human Settlements & Civil Engn Xian 710049 Peoples R China;

    Sun Yat Sen Univ Minist Educ Sch Atmospher Sci Zhuhai Peoples R China|Sun Yat Sen Univ Minist Educ Key Lab Trop Atmosphere Ocean Syst Zhuhai Peoples R China|Southern Marine Sci & Engn Guangdong Lab Zhuhai Peoples R China;

    Natl Lab Marine Sci & Technol Dept Satellite Oceanog Qingdao Peoples R China;

    Natl Marine Environm Monitoring Ctr Minist Ecol & Environm Dalian Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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