As a basis for the quantitative application of satellite remote sensing, surface reflectance can be retrieved through atmospheric correction methods. Currently, most studies have focused on developing or comparing atmospheric correction methods. However, few studies have quantitatively analyzed the effects of input parameters in an atmospheric correction method on retrieved surface reflectance. In this study, we evaluated the effects of the calibration coefficient, aerosol optical depth (AOD), aerosol type, and satellite zenith angle over four typical surfaces using wide field-of-view sensor four data of the Gao Fen-1 satellite. The results showed that (1) the relative errors of shrub, corn, grass, and soil reflectance increased as the calibration coefficient error increased; (2) the calibration coefficient, AOD, aerosol type, and satellite zenith angle affected corn reflectance retrieval the most, whereas they had the smallest effect on soil reflectance retrieval; and (3) the accuracy of the satellite zenith angle on the retrieved surface reflectance was the least pronounced, whereas the accuracy of aerosol type was the most pronounced.

中文翻译：

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高分一号卫星WFV4影像4个典型地表反射率反演分析

作为卫星遥感定量应用的基础，可以通过大气校正方法反演地表反射率。目前，大多数研究都集中在开发或比较大气校正方法上。然而，很少有研究定量分析大气校正方法中输入参数对反演表面反射率的影响。在本研究中，我们利用高分一号卫星的宽视场传感器四数据评估了四个典型表面上的校准系数、气溶胶光学深度（AOD）、气溶胶类型和卫星天顶角的影响。结果表明：（1）灌木、玉米、草和土壤反射率的相对误差随着标定系数误差的增大而增大；(2) 标定系数，AOD，气溶胶类型，卫星天顶角对玉米反射率反演影响最大，对土壤反射率反演影响最小；(3)卫星天顶角对反演表面反射率的精度最不显着，而气溶胶类型的精度最显着。