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首页> 外文学位 >Inversion and analysis of chromophoric dissolved organic matter in estuarine and coastal regions using hyperspectral remote sensing.
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Inversion and analysis of chromophoric dissolved organic matter in estuarine and coastal regions using hyperspectral remote sensing.

机译：利用高光谱遥感反演和分析河口和沿海地区发色团溶解的有机物。

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摘要

CDOM (chromophoric dissolved organic matter) plays an important role in determining underwater light field and aquatic photochemical and biological processes. Knowing CDOM properties, origin, sink, content, and distribution is able to provide us not only a useful approach to evaluate, but also a new perspective to understand water quality, carbon cycle, as well as the climate change. Remote sensing inversion of CDOM bears the potential capability to assess CDOM at large scale, but it has not been fully investigated yet. Particularly, the previous approaches cannot meet the accuracy and spatial resolution requirement for analyzing complex waters in estuarine and coastal regions. Therefore, a new scheme, which combines a newly developed inversion algorithm and hyperspectral remote sensing, is proposed to solve problems encountered in CDOM evaluation. This research covers three study sites, in the estuarine and coastal regions of the Mississippi River, Hudson River, and Neponset River. Very high resolution in situ data were collected in these sites and EO-1 Hyperion satellite images were also acquired accordingly. Based on a quasi-analytical algorithm (QAA), a QAA-CDOM algorithm was developed, by which CDOM absorption coefficient ag(440) is separated from adg(440)(total absorption coefficient of CDOM and non-algal particles). Some QAA's parameters and functions were also optimized, using available datasets (in situ, IOCCG, and NOMAD). Result validation in the Atchafalaya plume has proved that QAA-CDOM is capable of estimating ag(440) in excellent accuracy (RMSE=0.11 m-1 and R2=0.73 in the Atchafalaya River plume region). More importantly, applying QAA-CDOM to other locations, including the Mississippi River, Amazon River, and Moreton Bay, also derived very reasonable and accurate ag(440), covering a wide range from 0.01 to 15 m -1. This confirms that our method is applicable to a wide range of estuarine regions. The uncertainties involved in CDOM inversion were also analyzed, aiming to know the origin, magnitude, and propagation of uncertainty in different inversion phases. This work strongly indicates that the proposed scheme, QAA-CDOM hyperspectral remote sensing inversion, is robust and reliable to quantify CDOM's concentration, distribution and dynamic for diverse waters, and hence can be applied to other regions.
机译：CDOM（发色溶解有机物）在确定水下光场以及水生光化学和生物过程中起着重要作用。了解CDOM的属性，来源，汇，含量和分布不仅可以为我们提供一种有用的评估方法，而且还可以为我们提供了解水质，碳循环以及气候变化的新视角。 CDOM的遥感反演具有大规模评估CDOM的潜在能力，但尚未进行充分研究。特别地，先前的方法不能满足分析河口和沿海地区复杂水域的精度和空间分辨率要求。因此，提出了一种将新开发的反演算法与高光谱遥感相结合的新方案，以解决CDOM评估中遇到的问题。这项研究涵盖了三个研究地点，分别位于密西西比河，哈德逊河和尼彭塞特河的河口和沿海地区。在这些站点中收集了非常高分辨率的原位数据，并因此获得了EO-1 Hyperion卫星图像。基于准分析算法（QAA），开发了一种QAA-CDOM算法，该算法将CDOM吸收系数ag（440）与adg（440）（CDOM和非藻类粒子的总吸收系数）分开。使用可用的数据集（原位，IOCCG和NOMAD），还优化了一些QAA的参数和功能。在Atchafalaya羽流中的结果验证已证明QAA-CDOM能够以极高的精度（在Atchafalaya河羽流区域中的RMSE = 0.11 m-1和R2 = 0.73）估算ag（440）。更重要的是，将QAA-CDOM应用于密西西比河，亚马逊河和摩顿湾等其他地区，也得出了非常合理和准确的ag（440），覆盖范围从0.01到15 m -1。这证实了我们的方法适用于广泛的河口地区。还分析了CDOM反演中涉及的不确定性，旨在了解不同反演阶段中不确定性的起源，大小和传播。这项工作有力地表明，所提出的方案QAA-CDOM高光谱遥感反演具有鲁棒性和可靠性，可以量化CDOM在不同水域的浓度，分布和动态，因此可以应用于其他地区。

著录项

  • 作者

    Zhu, Weining.;

  • 作者单位

    University of Massachusetts Amherst.;

  • 授予单位 University of Massachusetts Amherst.;
  • 学科 Climate Change.;Geochemistry.;Remote Sensing.;Marine Geology.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 262 p.
  • 总页数 262
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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