Inversion and verification analysis of GF-1 WFV 16-meter reflectance data

Abstract

The 16m spatial resolution of the Gaofen-1 satellite WFV camera (GF-1 WFV) has potential advantages in ground feature recognition. However, due to the lack of shortwave infrared channels, it is difficult to invert the ground surface reflectivity using the traditional dark pixel method. Taking GF-1 WFV apparent reflectance data and ground-based atmospheric data as input, an atmospheric correction algorithm based on the 6S radiation transmission model is constructed. In order to verify the accuracy of the algorithm, the inversion reflectance value of Dunhuang calibration site was compared and analyzed with the measured Gobi surface reflectance data. The results showed that the relative errors of the blue, green, red, and near-infrared bands were all within 6%; Comparing and analyzing the reflectance products of Sentinel-2 and GF-1 WFV, the results show that the relative errors of blue, green, red, and near-infrared bands are all within 4%.