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An automatic reflectance-based approach to vicarious radiometric calibrate the Landsat8 operational land imager

机译:一种基于自动反射率的替代方法,用于校准Landsat8操作性陆地成像仪

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In this study, the automatic reflectance-based method is used to vicarious radiometrically calibrate the satellite optical sensors using the desert target located in the Baotou site in China. The ground reflected radiance of the desert target were collected automatically using an automatic observation system. The reflectance of the desert target was calculated with the radiance collected with the automatic observation system and the total irradiance simulated from MODTRAN code based on the atmospheric parameters. Then, the TOA radiance can be predicted with MODTRAN code based on the calculated desert reflectance. The automatic reflectance-based approach was applied to the Landsat 8/OLI sensors, and the TOA radiances calibrated by our method were also compared with the observed TOA radiance calibrated with on-board calibrator. Preliminary results show a good consistent and the mean relative difference of the multispectral channels is less than 5%. Uncertainty analysis also show that the TOA radiance overall uncertainty is less than 4% due to the source including the atmospheric characteristics, surface characteristics, and the selected calibration model.
机译:在这项研究中,基于自动反射的方法被用来替代辐射光,使用位于中国包头站点的沙漠目标对卫星光学传感器进行校准。使用自动观察系统自动收集沙漠目标的地面反射辐射。沙漠目标的反射率是通过自动观测系统收集的辐射率和基于大气参数的MODTRAN代码模拟的总辐照度来计算的。然后,可以基于计算出的沙漠反射率,用MODTRAN代码预测TOA辐射。基于自动反射率的方法已应用于Landsat 8 / OLI传感器,并且还将通过我们的方法校准的TOA辐射与通过车载校准器校准的观测TOA辐射进行了比较。初步结果表明,良好的一致性,多光谱通道的平均相对差小于5%。不确定性分析还显示,由于包括大气特征,表面特征和所选校准模型在内的来源,TOA辐射总不确定度小于4%。

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