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Estimating total suspended matter concentration in tropical coastal waters of the Berau estuary, Indonesia

机译:估计印度尼西亚Berau河口热带沿海水域中的总悬浮物浓度

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摘要

This study presents the application of a semi-empirical approach, based on the Kubelka-Munk (K-M) model, to retrieve the total suspended matter (TSM) concentration of water bodies from ocean colour remote sensing. This approach is validated with in situ data sets compiled from the tropical waters of Berau estuary, Indonesia. Compared to a purely empirical approach, the K-M model provides better results in the retrieval of TSM concentration on both data sets (in situ and Medium Resolution Imaging Spectrometer (MERIS)). In this study, the K-M model was calibrated with in situ measurements of remote-sensing reflectance (Rrss) and TSM concentration. Next, the inverse K-M model was successfully applied to images taken by the MERIS instrument by generating regional maps of TSM concentration. MERIS top-of-atmosphere radiances were atmospherically corrected using the Moderate Spectral Resolution Atmospheric Transmittance (MODTRAN) radiative transfer model. The best correlation between Rrs measured in situ and R_(rs) MERIS was found to be at a wavelength of 620 nm. The TSM concentrations retrieved using the K-M model showed a lower root mean square error (RMSE), a higher coefficient of determination and a smaller relative error than those retrieved by the purely empirical approach.
机译:这项研究提出了一种基于Kubelka-Munk(K-M)模型的半经验方法从海洋彩色遥感中检索水体总悬浮物(TSM)浓度的应用。该方法已从印度尼西亚Berau河口热带水域收集的原位数据集得到验证。与纯经验方法相比,K-M模型在两个数据集(原位和中分辨率成像光谱仪(MERIS))的TSM浓度检索中都提供了更好的结果。在这项研究中,使用遥感反射率(Rrss)和TSM浓度的原位测量对K-M模型进行了校准。接下来,通过生成TSM浓度区域图,将逆K-M模型成功应用于MERIS仪器拍摄的图像。使用中等光谱分辨率大气透射率(MODTRAN)辐射传递模型对MERIS的大气最高辐射进行了大气校正。发现原位测量的Rrs与R_(rs)MERIS之间的最佳相关关系是在620 nm波长处。与纯经验方法相比,使用K-M模型检索的TSM浓度显示出较低的均方根误差(RMSE),较高的测定系数和较小的相对误差。

著录项

  • 来源
    《International journal of remote sensing》 |2012年第14期|p.4919-4936|共18页
  • 作者单位

    Department of Water Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7500 AA, The Netherlands,National Coordinating Agency for Surveys and Mapping, Cibinong 16911, Indonesia;

    Department of Water Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7500 AA, The Netherlands;

    Department of Water Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7500 AA, The Netherlands;

    Department of Water Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7500 AA, The Netherlands;

  • 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

  • 入库时间 2022-08-17 13:25:04

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