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首页> 外文期刊>International journal of remote sensing >Performance of the MODIS FLH algorithm in estuarine waters: a multi-year (2003-2010) analysis from Tampa Bay, Florida (USA)
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Performance of the MODIS FLH algorithm in estuarine waters: a multi-year (2003-2010) analysis from Tampa Bay, Florida (USA)

机译:MODIS FLH算法在河口水域中的性能:美国佛罗里达州坦帕湾的多年(2003-2010)分析

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摘要

Although satellite technology promises great usefulness for the consistent monitoring of chlorophyll-α concentration in estuarine and coastal waters, the complex optical properties commonly found in these types of waters seriously challenge the application of this technology. Blue-green ratio algorithms are susceptible to interference from water constituents, different from phytoplankton, which dominate the remote-sensing signal. Alternatively, modelling and laboratory studies have not shown a decisive position on the use of near-infrared (NIR) algorithms based on the sun-induced chlorophyll fluorescence signal. In an analysis of a multi-year (2003-2010) in situ monitoring data set from Tampa Bay, Florida (USA), as a case, this study assesses the relationship between the fluorescence line height (FLH) product from the Moderate Resolution Imaging Spectrometer (MODIS) and chlorophyll-α.
机译:尽管卫星技术有望保证对河口和沿岸水域中叶绿素-α浓度进行连续监测,但这些类型水域中常见的复杂光学特性严重挑战了该技术的应用。蓝绿比算法很容易受到水分量的干扰,这不同于浮游植物,水分量主导着遥感信号。另外,建模和实验室研究还没有显示出基于使用太阳诱导的叶绿素荧光信号的近红外(NIR)算法的决定性地位。以美国佛罗里达州坦帕湾的多年(2003-2010年)原位监测数据为例,该研究评估了中等分辨率成像中荧光线高度(FLH)产物之间的关系光谱仪(MODIS)和叶绿素-α。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第20期|6467-6483|共17页
  • 作者单位

    Department of Environmental Health Science, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN 46202, USA;

    National Centre for Marine Conservation and Resource Sustainability, Australian Maritime College, University of Tasmania, Launceston, Tasmania 7250, Australia;

  • 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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