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Applying narrowband remote-sensing reflectance models to wideband data

机译:将窄带遥感反射率模型应用于宽带数据

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摘要

Remote sensing of coastal and inland waters requires sensors to have a high spatial resolution to cover the spatial variation of biogeochemical properties in fine scales. High spatial-resolution sensors, however, are usually equipped with spectral bands that are wide in bandwidth (50 nm or wider). In this study, based on numerical simulations of hyperspectral remote-sensing reflectance of optically-deep waters, and using Landsat band specifics as an example, the impact of a wide spectral channel on remote sensing is analyzed. It is found that simple adoption of a narrowband model may result in >20percent underestimation in calculated remote-sensing reflectance, and inversely may result in >20percent overestimation in inverted absorption coefficients even under perfect conditions, although smaller (approx5percent) uncertainties are found for higher absorbing waters. These results provide a cautious note, but also a justification for turbid coastal waters, on applying narrowband models to wideband data.
机译:沿海和内陆水域的遥感需要传感器具有较高的空间分辨率,才能以小规模覆盖生物地球化学特性的空间变化。但是,高空间分辨率传感器通常配备带宽较宽(50 nm或更宽)的光谱带。在这项研究中,基于光学深水高光谱遥感反射率的数值模拟,并以Landsat波段特征为例,分析了宽光谱通道对遥感的影响。结果发现,即使在理想条件下,窄带模型的简单采用也可能导致计算出的遥感反射率低估> 20%,反之即使在理想条件下也可能导致反向吸收系数高估> 20%,尽管发现较小的不确定性(大约5%)吸收水。这些结果为将窄带模型应用于宽带数据提供了谨慎的注解,也为混浊的沿海水域辩护。

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  • 来源
    《Applied optics》 |2009年第17期|共7页
  • 作者

    ZhongPing Lee;

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  • 正文语种 eng
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