Abstract A practical atmospheric correction algorithm, called Coupled Moderate Products for Atmospheric Correction (CMPAC), was developed and implemented for the Multispectral Camera (MUX) on-board the China-Brazil Earth Resources Satellite (CBERS-4). This algorithm uses a scene-based processing and sliding window technique to derive MUX surface reflectance (SR) at continental scale. Unlike other optical sensors, MUX instrument imposes constraints for atmospheric correction due to the absence of spectral bands for aerosol estimation from imagery itself. To overcome this limitation, the proposed algorithm performs a further processing of atmospheric products from Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) sensors as input parameters for radiative transfer calculations. The success of CMPAC algorithm was fully assessed and confirmed by comparison of MUX SR data with the Landsat-8 OLI Level-2 and Aerosol Robotic Network (AERONET)-derived SR products. The spectral adjustment was performed to compensate for the differences of relative spectral response between MUX and OLI sensors. The results show that MUX SR values are fairly similar to operational Landsat-8 SR products (mean difference

中文翻译：

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来自 CBERS-4 MUX 数据的大陆尺度表面反射率产品：使用重合 Landsat 观测评估大气校正方法

摘要 为中巴地球资源卫星（CBERS-4）上的多光谱相机（MUX）开发并实现了一种实用的大气校正算法，称为大气校正耦合中等产品（CMPAC）。该算法使用基于场景的处理和滑动窗口技术来推导出大陆尺度的 MUX 表面反射率 (SR)。与其他光学传感器不同，MUX 仪器对大气校正施加了限制，因为缺少用于从图像本身进行气溶胶估计的光谱带。为了克服这一限制，所提出的算法对来自中分辨率成像光谱仪 (MODIS) 和可见光红外成像辐射仪套件 (VIIRS) 传感器的大气产物进行进一步处理，作为辐射传输计算的输入参数。通过将 MUX SR 数据与 Landsat-8 OLI Level-2 和气溶胶机器人网络 (AERONET) 衍生的 SR 产品进行比较，充分评估并证实了 CMPAC 算法的成功。执行光谱调整以补偿 MUX 和 OLI 传感器之间相对光谱响应的差异。结果表明，MUX SR 值与运行的 Landsat-8 SR 产品非常相似（平均差