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首页> 外文学位 >Remote sensing of water quality indicators in a lacustrine environment studied using optical modelling of water and atmospheric constituents and aircraft multispectral scanner imagery.
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Remote sensing of water quality indicators in a lacustrine environment studied using optical modelling of water and atmospheric constituents and aircraft multispectral scanner imagery.

机译：利用水和大气成分的光学建模以及飞机多光谱扫描仪图像研究了湖环境中水质指标的遥感。

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摘要

Lake water quality classification was performed using field data collected by three ground crews concurrent with aircraft MSS data acquisition. Field data obtained in each of the thirty-two sites included: surface water temperature, secchi depth and water upwelling radiance. Field water samples were analyzed for chlorophyll{dollar}sb-{dollar}a, chlorophyll{dollar}sb-{dollar}b, chlorophyll{dollar}sb-{dollar}c, pheophytin{dollar}sb-{dollar}a, total suspended solids, nephelometer turbidity, Coulter Counter particle size distribution parameters, total organic content, dissolved Fluorescence, and suspended particulate absorbance.; Surface reflectance images of the three water cooling reservoirs were derived from airborne MSS data using a radiative transfer model to eliminate atmospheric effects and to derive downwelling irradiances. Modelled surface reflectances images were evaluated for accuracy by statistical comparison to the field measured reflectance spectra, and for improved contrast by subjective comparison to the original images. MSS bands 2, 3, 4, 5, 7 and 8 modelled reflectances explained 9%, 47%, 88%, 89%, 83% and 68%, respectively of the measured reflectance variances. All generated reflectance images showed dramatic improvement in contrast, revealing textures that were not apparent in the original images.; Water quality classification was accomplished using a consistent methodology that combined the derived reflectance images and the measured water properties to produce unbiased predictors of these water quality indicators. Applying this methodology resulted in predictor equations explaining 82% of the chlorophyll{dollar}sb-{dollar}a variance, 84% of the chlorophyll{dollar}sb-{dollar}b variance, 92% of the total suspended variance, 91% of the Trophic State Index variance, and 96% of the dissolved Fluorescence variance within the thirty-two water samples analyzed. Further, a statistical framework was devised that allowed the extraction of regional specific absorption curves associated with the biological indicator, chlorophyll, and the total suspended solids indicator, nephelometer turbidity. This procedure explained {dollar}>{dollar}90% of the water particulate absorbances at wavelengths where particulate absorbances were expected.; Finally, water structure and temperature distribution maps were generated using reflectance and thermal imagery. These maps showed dramatic variations in water characteristics that were further enhanced using nonlinear edge enhancements and contouring.
机译：利用三名地面人员收集的现场数据与飞机MSS数据采集同时进行湖泊水质分类。在这32个站点中的每个站点获得的现场数据包括：地表水温度，secchi深度和水上升流辐射。分析了野外水样中的叶绿素{美元} sb- {美元} a，叶绿素{美元} sb- {美元} b，叶绿素{美元} sb- {美元} c，脱镁叶绿素{美元} sb- {美元} a，总悬浮固体，浊度仪浊度，库尔特计数器粒度分布参数，总有机物含量，溶解荧光和悬浮颗粒吸收率。使用辐射传递模型从机载MSS数据中提取了三个水冷储层的表面反射率图像，从而消除了大气影响并得出了向下的辐照度。通过与现场测量的反射光谱进行统计比较来评估建模的表面反射率图像的准确性，并通过与原始图像进行主观比较来改善对比度。 MSS波段2、3、4、5、7和8建模的反射率分别解释了测得的反射率差异的9％，47％，88％，89％，83％和68％。所有生成的反射图像均显示出对比度的显着改善，并显示出原始图像中不明显的纹理。使用一致的方法完成水质分类，该方法结合了导出的反射率图像和测得的水质，以生成这些水质指标的无偏预测量。应用此方法得出的预测器方程式解释了82％的叶绿素{sb- {dollar} a方差，84％的叶绿素{sb- {dollar} b}方差，92％的总悬浮方差，91％营养状态指数方差的平均值，以及分析的32个水样品中96％的溶解荧光方差。此外，设计了一个统计框架，该统计框架允许提取与生物指标叶绿素和总悬浮固体指标浊度计浊度相关的区域比吸收曲线。该程序解释了在预期会有颗粒吸收的波长处，{美元}> {美元} 90％的水颗粒吸收。最后，使用反射率和热图像生成水结构和温度分布图。这些图显示了水特征的剧烈变化，这些变化通过使用非线性边缘增强和轮廓线得到了进一步增强。

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  • 作者

    Ramsey, Elijah William, III.;

  • 作者单位

    University of South Carolina.;

  • 授予单位 University of South Carolina.;
  • 学科 Environmental Sciences.; Physical Geography.
  • 学位 Ph.D.
  • 年度 1988
  • 页码 200 p.
  • 总页数 200
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境科学基础理论;自然地理学;
  • 关键词

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