Presentation + Paper
7 September 2018 GOES-16 ABI navigation assessment
Bin Tan, John Dellomo, Robert Wolfe, Alan Reth
Author Affiliations +
Abstract
The US Geostationary Operational Environmental Satellite – R Series (GOES-R) was launched on November 19, 2016 and was designated GOES-16 upon reaching geostationary orbit ten days later. After checkout and calibration, GOES-16 was relocated to its operational location of 75.2 degrees west and officially became GOES East on December 18, 2017. The Advanced Baseline Imager (ABI) is the primary instrument on the GOES-R series for imaging Earth’s surface and atmosphere to significantly improve the detection and observation of severe environmental phenomena. A team supporting the GOES-R Flight Project at NASA’s Goddard Space Flight Center developed algorithms and software for independent verification of ABI Image Navigation and Registration (INR), which became known as the INR Performance Assessment Tool Set (IPATS). In this paper, we will briefly describe IPATS on top concept level, and then introduce the Landsat chips, chip registration algorithms, and how IPATS measurements are filtered. We present GOES-16 navigation (NAV) errors from flight data from January 2017 to May 2018. The results show a) IPATS characterized INR variations throughout the post-launch test phase; and b) ABI INR has improved over time as post-launch tests were performed and corrections applied. Finally, we will describe how estimated NAV errors have been used to assess and understand satellite attitude anomalies and scale errors etc. This paper shows that IPATS is an effective tool for assessing and improving GOES-16 ABI INR and is also useful for INR long-term monitoring.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bin Tan, John Dellomo, Robert Wolfe, and Alan Reth "GOES-16 ABI navigation assessment", Proc. SPIE 10764, Earth Observing Systems XXIII, 107640G (7 September 2018); https://doi.org/10.1117/12.2321170
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Earth observing sensors

Landsat

Error analysis

Satellites

Image registration

Long wavelength infrared

Mid-IR

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