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20 August 2020 Long-term trending analysis of the image navigation for the advanced baseline imager sensors onboard the GOES-16 and GOES-17 geostationary satellites
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Abstract
More than 2-years of GOES-16 and more than 1-year of GOES-17 CENRAIS daily average navigation results have been used to study the systematic geometric biases of images and its seasonal variations. The data are first divided into the sections by the dates of the major INR-related updates and other navigation-changing events. Event selection was based on the CWG Calibration Event Log. Linear and seasonal trends were investigated and results will be presented.Exceptional stability of the image navigation was found for the Visible and Near-Infrared (VNIR) channels for both ABI sensors, with good stability of the other infrared (IR) channels. The improvements or impacts of INR residuals in both NS and EW directions can be seen with each major INR related calibration events over time which include Kalman filter updates, G17 Yaw-Flip, observation timeline change, and other software updates and deployment. Fourier Transform has been applied to 2-year GOES-16 and 1-year GOES-17 navigation resid
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Song Guo, Vladimir Kondratovich, and Xiangqian Wu "Long-term trending analysis of the image navigation for the advanced baseline imager sensors onboard the GOES-16 and GOES-17 geostationary satellites", Proc. SPIE 11501, Earth Observing Systems XXV, 1150119 (20 August 2020); https://doi.org/10.1117/12.2568614
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