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ATMOSPHERIC CORRECTION OF MERIS DATA OVER PERIALPINE REGIONS

机译:Perialpine地区的Meris数据大气纠正

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摘要

Accurate correction of atmospheric propagation effects is essential for quantitative retrieval of bio-geophysical properties at the Earth's surface from satellite radiance measurements. We studied procedures to obtain the MERIS at-surface reflectance at test sites on the northern and southern rim of the Alps, characterized by significant spatial and temporal variability of the atmospheric turbidity. The analysis is based on full resolution at-sensor spectral radiance (L1b) data from MERIS acquired in summer 2003 and 2004. The 6S radiative transfer model was used to calculate the atmospheric influence and to derive at-surface spectral reflectance from the MERIS data. The aerosol properties (AOT{sub}550 and the Angstrom parameter α) required as input in 6S, were estimated using the DDV (dense dark vegetation) approach. The estimated aerosol properties and surface reflectance were validated with in situ atmospheric transmittance and spectroradiometer measurements during field campaigns at the test sites Lake Garda and Salzkammergut and compared with MERIS Level 2 (L2) data.
机译:精确校正大气传播效应对于地球表面从卫星光线测量的地球表面的定量检索是必不可少的。我们研究了在Alps北部和南部边缘的试验网站获得Meris at表面反射的程序,其特征在于大气浊度的显着空间和时间可变性。该分析基于2003年夏季Meris的全分辨率的AT传感器光谱辐射(L1B)数据。6S辐射转移模型用于计算大气影响并从MERIS数据中得出面表面光谱反射率。使用DDV(致密暗植被)方法估计为6S输入所需的气溶胶特性(AOT {Sub} 550和Angstrom参数α)。估计的气溶胶特性和表面反射率在测试场所湖加尔达和Salzkammergut的现场活动期间,与Meris 2(L2)数据相比,验证了在现场运动期间的透射透射率和光谱仪测量。

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