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Time-Series Cross-Radiometric Calibration and Validation of GF-6/WFV Using Multi-Site
by
Wang, Yingxian
, Zeng, Jian
, Han, Qijin
, Xu, Zhaopeng
, Liu, Yaokai
, Wang, Huixian
, Zhao, Weiwei
, Wang, Renfei
in
Accuracy
/ Aerospace environments
/ Artificial satellites in remote sensing
/ Automation
/ Calibration
/ China
/ cross-calibration
/ Datasets
/ Degradation
/ Environmental monitoring
/ forestry
/ GF-6/WFV
/ Land resources
/ Landsat
/ Landsat satellites
/ Methods
/ Monitoring
/ Performance degradation
/ RadCalNet
/ radiometry
/ reflectance
/ Remote sensing
/ Satellites
/ Sensors
/ Spatial discrimination
/ Spatial resolution
/ Technology application
/ Time series
/ time series analysis
/ Trend analysis
/ uncertainty
/ uncertainty analysis
2024
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Time-Series Cross-Radiometric Calibration and Validation of GF-6/WFV Using Multi-Site
by
Wang, Yingxian
, Zeng, Jian
, Han, Qijin
, Xu, Zhaopeng
, Liu, Yaokai
, Wang, Huixian
, Zhao, Weiwei
, Wang, Renfei
in
Accuracy
/ Aerospace environments
/ Artificial satellites in remote sensing
/ Automation
/ Calibration
/ China
/ cross-calibration
/ Datasets
/ Degradation
/ Environmental monitoring
/ forestry
/ GF-6/WFV
/ Land resources
/ Landsat
/ Landsat satellites
/ Methods
/ Monitoring
/ Performance degradation
/ RadCalNet
/ radiometry
/ reflectance
/ Remote sensing
/ Satellites
/ Sensors
/ Spatial discrimination
/ Spatial resolution
/ Technology application
/ Time series
/ time series analysis
/ Trend analysis
/ uncertainty
/ uncertainty analysis
2024
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Time-Series Cross-Radiometric Calibration and Validation of GF-6/WFV Using Multi-Site
by
Wang, Yingxian
, Zeng, Jian
, Han, Qijin
, Xu, Zhaopeng
, Liu, Yaokai
, Wang, Huixian
, Zhao, Weiwei
, Wang, Renfei
in
Accuracy
/ Aerospace environments
/ Artificial satellites in remote sensing
/ Automation
/ Calibration
/ China
/ cross-calibration
/ Datasets
/ Degradation
/ Environmental monitoring
/ forestry
/ GF-6/WFV
/ Land resources
/ Landsat
/ Landsat satellites
/ Methods
/ Monitoring
/ Performance degradation
/ RadCalNet
/ radiometry
/ reflectance
/ Remote sensing
/ Satellites
/ Sensors
/ Spatial discrimination
/ Spatial resolution
/ Technology application
/ Time series
/ time series analysis
/ Trend analysis
/ uncertainty
/ uncertainty analysis
2024
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Time-Series Cross-Radiometric Calibration and Validation of GF-6/WFV Using Multi-Site
Journal Article
Time-Series Cross-Radiometric Calibration and Validation of GF-6/WFV Using Multi-Site
2024
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Overview
The GaoFen6 (GF-6) satellite, equipped with a wide full-swath (WFV) sensor, offers high spatial resolution and extensive coverage, making it widely utilized in agricultural and forestry classification, land resource monitoring, and other fields. Accurate on-orbit radiometric calibration of GF-6/WFV is crucial for these quantitative applications. Currently, the absolute radiometric calibration of GF-6/WFV relies primarily on vicarious calibration conducted by the China Center for Resources Satellite Data and Application (CRESDA). However, annual vicarious calibration may not adequately capture the radiometric performance of GF-6/WFV due to performance degradation. Therefore, increasing the frequency of on-orbit radiometric calibration throughout the lifetime of GF-6/WFV is essential. This study proposes a method for conducting long-term cross-radiometric calibrations of GF-6/WFV by taking the multispectral imager (MSI) onboard the Sentinel-2 satellite as a reliable reference sensor and the sites from RadCalNet as reference ground targets. Firstly, we conducted 62 on-orbit cross-radiometric calibrations of GF-6/WFV since its launch by tracking with the Sentinel-2/MSI sensor after correcting the discrepancy spectrum and solar zenith angle. Then, validation of cross-radiometric calibration results against RadCalNet products indicated an average absolute relative error between 3.55% and 4.64%. Cross-validation with additional reference sensors, including Landsat-8/OLI and MODIS, confirmed the reliability of calibration, demonstrating relative differences from GF-6/WFV of less than 5%. Furthermore, the overall uncertainty of the cross-radiometric calibration was estimated to be from 4.08% to 4.89%. Finally, trend analysis of the time-series radiometric performance was also conducted and revealed an annual degradation rate ranging from 0.57% to 2.31%. This degradation affects surface reflectance retrieval, introducing a bias of approximately 0.0073 to 0.0084. Our findings highlight the operational effectiveness of the proposed method in achieving long-time-series on-orbit radiometric calibration and degradation monitoring of GF-6/WFV. The study also demonstrates that the radiometric performance of GF-6/WFV is relatively stable and suitable for further quantitative applications, especially for long-term monitoring applications.
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