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首页> 外文学位 >Passive remote sensing of chlorophyll in the lower St. Lawrence Estuary: Spectral optimization of detection algorithms and SeaWiFs application (French text).
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Passive remote sensing of chlorophyll in the lower St. Lawrence Estuary: Spectral optimization of detection algorithms and SeaWiFs application (French text).

机译：圣劳伦斯河口下部的叶绿素被动遥感：检测算法的光谱优化和SeaWiFs应用（法文）。

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摘要

This work is one more step toward passive remote sensing as a way to estimate the water chlorophyll content in the St-Lawrence Estuary. In July 1993, during the LIDAR-93 oceanographic cruise, optical and biochemical data were collected to identify the best remote sensing algorithms for chlorophyll in this area.; Many algorithms were tested on radiometric data acquired with two portable spectroradiometers aboard ship and a CASI imaging spectoradiometer during low altitude flights. A good consistency was obtained between both data types. An exhaustive search on the visible spectrum has allow to identify some simple and multiple band ratios as best algorithms. Among these simple band ratios, the best results were obtained with 540 and 580 nm bands. Some blue-red ratios (420 to 520 nm/660 to 700 nm) also gave good results. Estimates precision were about 40 to 50%. The best multiple band ratios allow estimations of water chlorophyll content with an accuracy of ±30%. The estimates are better in the central and western region of the Estuary. However, all algorithms overestimate chlorophyll content in the eastern part of the Estuary. It seems that these overestimates are due to the vertical distribution of Chl in the water column. With simulated SeaWiFs bands, the estimates accuracy is about 50% for simple band ratios and 40% for multiple band ratios. Poorer accuracy obtained with SeaWiFs bands seems due most to the lack of one more band in the red part of the spectrum than to the spectral resolution.; Simulations with CAM5S software, on the impact of errors on atmospheric aerosol optical thickness estimations, show that 490/670 nm would be the best band ratio to use with SeaWiFs sensor for the St-Lawrence Lower Estuary. An accuracy of ±0,02 on aerosol optical depth would be enough to have a global accuracy of about 60% on water chlorophyll content estimates in the Lower St-Lawrence Estuary.
机译：这项工作是向被动遥感迈出的又一步，这是一种估算圣劳伦斯河口水叶绿素含量的方法。 1993年7月，在LIDAR-93海洋航行中，收集了光学和生化数据，以确定该地区叶绿素的最佳遥感算法。在低空飞行期间，使用船上的两个便携式光谱辐射仪和CASI成像光谱辐射仪采集的辐射数据测试了许多算法。两种数据类型之间都获得了良好的一致性。在可见光谱上的详尽搜索已允许将一些简单和多个频带比率识别为最佳算法。在这些简单的谱带比率中，使用540和580 nm谱带可获得最佳结果。某些蓝红色比率（420至520 nm / 660至700 nm）也给出了良好的结果。估计精度约为40％至50％。最佳的多谱带比率可以估算水叶绿素含量，准确度为±30％。估计在河口中部和西部地区更好。但是，所有算法都高估了河口东部的叶绿素含量。这些高估似乎是由于Chl在水柱中的垂直分布引起的。使用模拟的SeaWiFs频段，简单频段比率的估计准确性约为50％，而多个频段比率的估计准确性约为40％。用SeaWiFs频段获得的精度较差似乎是由于频谱红色部分缺少一个频段而不是频谱分辨率所致。使用CAM5S软件进行的模拟，对误差对大气气溶胶光学厚度估算的影响表明，对于圣劳伦斯河下游河口，490/670 nm是与SeaWiFs传感器配合使用的最佳波段比。气溶胶光学深度的精度为±0.02就足以使下圣劳伦斯河口的水叶绿素含量估算值的整体精度约为60％。

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  • 作者

    Jacques, Andre.;

  • 作者单位

    Universite de Sherbrooke (Canada).;

  • 授予单位 Universite de Sherbrooke (Canada).;
  • 学科 Physical Geography.; Remote Sensing.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 p.5131
  • 总页数 215
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然地理学;
  • 关键词

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