首页> 外文会议>Conference on multispectral, hyperspectral, and ultraspectral remote sensing technology, techniques, and applications VI >Retrieval of Surface reflectance from Resourcesat-2 AWiFS, LISS-3 and LISS-4 data using SACRS2 scheme
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Retrieval of Surface reflectance from Resourcesat-2 AWiFS, LISS-3 and LISS-4 data using SACRS2 scheme

机译:使用Sacrs2方案从ResourceAT-2 AWIF,LISS-3和LISS-4数据检索表面反射率

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Satellite based multispectral imagery contains various quantitative information related to surface and atmosphere. To extract the accurate information about surface, we need to correct atmospheric influence which is introduced by the atmosphere. Atmospheric correction of multispectral satellite imagery is an important prerequisite to derive geophysical parameters from satellite data. In this study surface reflectance is retrieved using the Scheme for Atmospheric Correction of Resourcesat-2 (SACRS2). The SACRS2 is physics based atmospheric correction scheme developed at Space Applications Centre (SAC), ISRO based on radiative transfer model 6SV (The Second Simulation of the Satellite Signal in the Solar Spectrum vector version). SACRS2 method is easily applicable for atmospheric correction of multispectral data. A detail analysis has been carried out to retrieve surface reflectance from Resourcesat-2 AWiFS, LISS-3 and LISS-4 data using SACRS2 method. The retrieved surface reflectance from SACRS2 for AWiFS, LISS-3 and LISS-4 have been compared with in-situ reflectance measurements. The comparison showed a good match of reflectance derived by SACRS2 scheme with the in-situ measurements.
机译:基于卫星的多光谱图像包含与表面和大气相关的各种定量信息。为了提取关于表面的准确信息,我们需要纠正大气引入的大气影响。多光谱卫星图像的大气校正是从卫星数据中获得地球物理参数的重要前提。在该研究中,使用ResourceAT-2的大气校正方案检索表面反射率(Sacrs2)。 Sacrs2是基于空间应用中心(SAC),ISRO的基于物理学的大气校正方案,其基于辐射传输模型6SV(太阳频谱矢量版本中的卫星信号的第二次模拟)。 SARRS2方法很容易适用于多光谱数据的大气校正。已经进行了详细分析,以通过SACRS2方法从ResourceAT-2 APIFS,LISS-3和LISS-4数据中检索表面反射率。与原位反射测量相比,从AWIFS,LISS-3和LISS-4中检索到AFFS2的表面反射率。比较显示了Sacrs2方案与原位测量结果源的良好反射率。

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