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Evaluation of a Hyperspectral Optical - Monte Carlo Remote Sensing Model in a Water Tank Study

机译:水箱研究中高光谱光学-蒙特卡罗遥感模型的评价。

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摘要

A physical hyperspectral optical - Monte Carlo (PHO-MC) model for computing reflectance from a body of water is evaluated in a water tank experiment. Reflectance calculation in the model is simulated based on Monte Carlo simulations of photon packet paths in three dimensions. Simulated reflectance was compared with the measured reflectance. The model was evaluated for varied depths of water and different characteristics of the tank bottom. Significant differences were found in the measured reflectance even for clear water due to change in water depth and bottom reflectance characteristics of the water tank. The model reproduced measured reflectance over the entire spectral region extending from 400 to 800 nm for these varied conditions. Model calculation showed that the effect of diffuse radiation and its specular reflection from the air-water interface contribute significantly to reflectance. The relative error in predicted reflectance for all 41 wavelengths evaluated in this study increased from 5.2% to 25.4% when diffuse radiation and its specular reflections were ignored in the model formulation
机译:在水箱实验中评估了用于计算水体反射率的物理高光谱光学Monte Carlo(PHO-MC)模型。该模型中的反射率计算是基于三维光子包路径的蒙特卡罗模拟进行的。将模拟反射率与测量反射率进行比较。针对水的不同深度和罐底的不同特性对模型进行了评估。由于水深和水箱底部反射率特性的变化,即使对于清澈的水,反射率也存在显着差异。对于这些变化的条件,该模型再现了从400到800 nm的整个光谱区域的测量反射率。模型计算表明,散射辐射的影响及其从气-​​水界面的镜面反射对反射率有显着影响。当在模型公式中忽略了漫射辐射及其镜面反射时,在本研究中评估的所有41个波长的预测反射率的相对误差从5.2%增加到25.4%

著录项

  • 来源
    《Transactions of the ASABE》 |2009年第3期|p.759-769|共11页
  • 作者

    V. Garg; I. Chaubey; S. Singh;

  • 作者单位

    Vijay Garg, Graduate Student, Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, Arkansas (currently Chief Scientific Officer, Carbonyx, Inc., Plano, Texas);

    Indrajeet Chaubey, ASABE Member, Associate Professor, Department of Agricultural and Biological Engineering and Department of Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana;

    and Surendra Singh, Professor, Department of Physics, University of Arkansas, Fayetteville, Arkansas. Corresponding author: Indrajeet Chaubey, Department of Agricultural and Biological Engineering and Department of Earth and Atmospheric Sciences, 225 S. University St., Purdue University, West Lafayette, IN 47907;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Hyperspectral model; Monte Carlo simulation; Physical hyperspectral-Monte Carlo model; Remote sensing;

    机译:高光谱模型;蒙特卡罗模拟;物理高光谱-蒙特卡洛模型;遥感;

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