| 应用6S模式对EOS-MODIS可见光到中红外波段的大气订正 |
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| 引用本文： | 张杰,王介民,郭铌.应用6S模式对EOS-MODIS可见光到中红外波段的大气订正[J].应用气象学报,2004,15(6):651-657. |
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| 作者姓名： | 张杰 王介民 郭铌 |
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| 作者单位： | 1.中国气象局兰州干旱气象研究所, 兰州 730020 |
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| 基金项目： | 国家自然科学基金“MODIS植被指数在西北地区应用研究”项目 ( 4 0 3 75 0 1 1 )资助 |
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| 摘 要： | 应用6S辐射传输模式对MODIS可见光到中红外波段的反射率进行大气订正，订正过程分两步进行:首先设定地表为朗伯体，再应用二向反射模型BRDF进行订正，订正结果与美国MODIS研究组应用MAS实验结果进行比较表明，两者变化趋势是一致的；经过臭氧、水汽、气溶胶等散射吸收订正，对于一定范围的反射率，大气订正使植被区红光波段反射率ρ1降低、近红外波段反射率ρ2增加，蓝光波段反射率ρ3降低；大气订正后，归一化植被指数INDV较大气订正前有所增加，增加的最大值为0.104，抗土壤-大气植被指数IEV值略有减小，减小的最大值为0.005。
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| 关 键 词： | S辐射传输模式 EOS-MODIS 大气订正 植被指数 |
| 收稿时间： | 2003-05-26 |
Atmospheric Correction of Visible to Middle-infrared of EOS-MODIS Data over Land Surfaces by Using 6S Model |
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| Zhang Jie,Wang Jiemin,Guo Ni.Atmospheric Correction of Visible to Middle-infrared of EOS-MODIS Data over Land Surfaces by Using 6S Model[J].Quarterly Journal of Applied Meteorology,2004,15(6):651-657. |
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| Authors: | Zhang Jie Wang Jiemin Guo Ni |
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| Affiliation: | 1.Key Laboratory of Arid Climatic Changing and Reducing Disaster of Gansu Province, Lanzhou 7300202.I nstitute of Arid Meteorology, China Meteorological Administration, Lanzhou 7300203.Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000 |
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| Abstract: | Atmospheric correction of visible to middle-infrared of MODIS data over land surfaces is done using 6S model. There are two processes of the correction, first, objective is assumed as the Lambertan surface, then bi-directional BRDF model Roujean is operated. Comparing the corrected result with the MODIS airborne simulator (MAS) which MODIS research group using in experiment, the result shows that there is consistency characteristic on their variety trends. The reflectance of near-infrared band 2 and blue band 3 are falling, but the red spectral band 1 is rising by operating atmosphere corrected. INDV is higher and Iev is lower after atmosphere is corrected, the largest value of variety are 0.104 and 0.005. |
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| Keywords: | S model EOS-MODIS Atmosphere correction I NDV I EV |
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