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

Shaobo Liu; Li Liu; Xianghao Kong; Xiangyu Zhu; Shutao Ge; Guangjun He

doi:10.1117/12.2619973

26 July 2022 Inversion and verification analysis of GF-1 WFV 16-meter reflectance data

Shaobo Liu, Li Liu, Xianghao Kong, Xiangyu Zhu, Shutao Ge, Guangjun He

Proceedings Volume 12279, 2021 International Conference on Optical Instruments and Technology: Optical Sensors and Applications; 122790U (2022) https://doi.org/10.1117/12.2619973
Event: 2021 International Conference on Optical Instruments and Technology, 2022, Online Only

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%.

Citation Download Citation

Shaobo Liu, Li Liu, Xianghao Kong, Xiangyu Zhu, Shutao Ge, and Guangjun He "Inversion and verification analysis of GF-1 WFV 16-meter reflectance data", Proc. SPIE 12279, 2021 International Conference on Optical Instruments and Technology: Optical Sensors and Applications, 122790U (26 July 2022); https://doi.org/10.1117/12.2619973

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available