Time series inversion and verification of GF-1 WFV reflectance data

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

doi:10.1117/12.2620693

26 July 2022 Time series inversion and verification of GF-1 WFV reflectance data

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

Proceedings Volume 12279, 2021 International Conference on Optical Instruments and Technology: Optical Sensors and Applications; 122790W (2022) https://doi.org/10.1117/12.2620693
Event: 2021 International Conference on Optical Instruments and Technology, 2022, Online Only

Abstract

For farmland, water bodies, villages and other areas in the Julu, Hebei, the inversion of GF-1 surface reflectance was carried out. Based on time-series remote sensing images, the Sentinel-2 satellite surface reflectance product was used to compare and verify the surface reflectance inversion results of the Gaofen-1 satellite. From February 2020 to January 2021, a total of 10 sets of valid images were acquired, with 5*5 pixels as a sample unit, and the test results of a total of 210 samples showed that the average absolute error of the reflectance is within 0.03 with the farmland, villages and other ground objects, and the average absolute error of the reflectance for the water body is within 0.055. In terms of correlation coefficients with Sentinel 2 data, the average correlation coefficient between farmland and villages was 0.999, and the correlation coefficient for water bodies was low, 0.158. This algorithm performs well in the target areas of farmland and villages, which is not suitable for water targets.

Citation Download Citation

Xiangyu Zhu, Shaobo Liu, Li Liu, Xianghao Kong, and Shutao Ge "Time series inversion and verification of GF-1 WFV reflectance data", Proc. SPIE 12279, 2021 International Conference on Optical Instruments and Technology: Optical Sensors and Applications, 122790W (26 July 2022); https://doi.org/10.1117/12.2620693

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