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Model List
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    Model ID: M00002
    Model Name: 6S
    Encoders:
    No. Name Affiliations
    1
    E. F. Vermote and S.Y. Kotchenova
    University of Maryland Department of Geography, 4321 Hartwick Rd College Park, MD 20742 and NASA GSFC code 614.5, Greenbelt MD. 20771. USA
    2
    J.C Roger
    L'Observatory de Physique du Globe De Clermont-Ferrand Universit� Blaise Pascal 24 Avenue des Landais, 63177 Aubi�re, France
    3
    D. Tanre ;J.L. Deuze and M. Herman
    Laboratoire d' Optique Atmospherique Universite des Sciences et Techniques de Lille u.e.r. de Physique Fondamentale 59655 Villeneuve d' Ascq Cedex, France
    4
    J.J. Morcrette
    European Center for Medium -range Weather Forecasting. Shinfiels Park, Reading. Bershire RG2 9AX, United Kingdom
    Key words: null
    Model Type: 机理模型
    Latest Modified: 2012/11/1 0:00:00
    Submission Date: 2012/11/7 0:00:00
    Abstract: The 6S code is a basic RT code used for calculation of lookup tables in the MODIS atmospheric correction algorithm. It enables accurate simulations of satellite and plane observation, accounting for elevated targets, use of anisotropic and lambertian surfaces and calculation of gaseous absorption. The code is based on the method of successive orders of scatterings approximations and its first vector version (6SV1), capable of accounting for radiation polarization. It was publicly released in May, 2005.
    Equation:
    1
    Name: Geometrical conditions
    Parameter type: string
    Physic Entity: 几何情况
    2
    Name: Month
    Parameter type: int
    Physic Entity: 月份
    3
    Name: Date
    Parameter type: int
    Physic Entity: 日期
    4
    Name: Solar zenithal angle
    Parameter type: double
    Physic Entity: 太阳天顶角
    5
    Name: Solar azimuthal angle
    Parameter type: double
    Physic Entity: 太阳方位角
    6
    Name: Sensor zenithal angle
    Parameter type: double
    Physic Entity: 传感器天顶角
    7
    Name: Sensor azimuthal angle
    Parameter type: double
    Physic Entity: 传感器方位角
    8
    Name: Atmospheric Profile
    Parameter type: string
    Physic Entity: 大气剖面
    9
    Name: Aerosol Model
    Parameter type: string
    Physic Entity: 气溶胶模型
    10
    Name: target altitude
    Parameter type: string
    Physic Entity: 目标区域高度
    11
    Name: sensor altitude
    Parameter type: string
    Physic Entity: 传感器高度
    12
    Name: Spectral Conditions
    Parameter type: string
    Physic Entity: 光谱条件
    13
    Name: wavelength
    Parameter type: double
    Physic Entity: 波长
    14
    Name: Ground reflectance type
    Parameter type: string
    Physic Entity: 地表反射类型
    15
    Name: Directional effects
    Parameter type: string
    Physic Entity: 方向效应
    16
    Name: Atmospheric correction mode
    Parameter type: string
    Physic Entity: 大气校正模型
    Title: Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part I: Path radiance
    Authors:
    No. Name Affiliations
    1
    Svetlana Y. Kotchenova
    Department of Geography, University of Maryland, 4321 Hartwick Road, Suite 209, College Park, Maryland 20740
    2
    Eric F. Vermote
    Department of Geography, University of Maryland, 4321 Hartwick Road, Suite 209, College Park, Maryland 20740
    3
    Raffaella Matarrese
    Department of Physics, University of Bari, Via Amendola 173, Bari 70126, Italy.
    4
    Frank J. Klemm
    Department of Geography, University of Maryland, 4321 Hartwick Road, Suite 209, College Park, Maryland 20740
    Cited by: 10 September 2006/ Vol. 45, No. 26 /APPLIED OPTICS
    Abstract: A vector version of the 6S (Second Simulation of a Satellite Signal in the Solar Spectrum) radiative transfer code (6SV1), which enables accounting for radiation polarization, has been developed and validated against a Monte Carlo code, Coulson’s tabulated values, and MOBY (Marine Optical Buoy System) water-leaving re?ectance measurements. The developed code was also tested against the scalar codes SHARM, DISORT, and MODTRAN to evaluate its performance in scalar mode and the in?uence of polarization. The obtained results have shown a good agreement of 0.7% in comparison with the Monte Carlo code, 0.2% for Coulson’s tabulated values, and 0.001–0.002 for the 400–550 nm region for the MOBY re?ectances. Ignoring the effects of polarization led to large errors in calculated top-of-atmosphere re?ectances: more than 10% for a molecular atmosphere and up to 5% for an aerosol atmosphere. This new version of 6S is intended to replace the previous scalar version used for calculation of lookup tables in the MODIS (Modera

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