Presentation + Paper
5 September 2017 Validation of early GOES-16 ABI on-orbit geometrical calibration accuracy using SNO method
Author Affiliations +
Abstract
The Advanced Baseline Imager (ABI) onboard the GOES-16 satellite, which was launched on 19 November 2016, is the first next-generation geostationary weather instrument in the west hemisphere. It has 16 spectral solar reflective and emissive bands located in three focal plane modules (FPM): one visible and near infrared (VNIR) FPM, one midwave infrared (MWIR), and one longwave infrared (LWIR) FPM. All the ABI bands are geometeorically calibrated with new techniques of Kalman filtering and Global Positioning System (GPS) to determine the accurate spacecraft attitude and orbit configuration to meet the challenging image navigation and registration (INR) requirements of ABI data. This study is to validate the ABI navigation and band-to-band registration (BBR) accuracies using the spectrally matched pixels of the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) M-band data and the ABI images from the Simultaneous Nadir Observation (SNO) images. The preliminary results showed that during the ABI post-launch product test (PLPT) period, the ABI BBR errors at the y-direction (along the VIIRS track direction) is smaller than at the x-direction (along the VIIRS scan direction). Variations in the ABI BBR calibration residuals and navigation difference to VIIRS can be observed. Note that ABI is not operational yet and the data is experimental and still under testing. Effort is still ongoing to improve the ABI data quality.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fangfang Yu, Xi Shao, Xiangqian Wu, Vladimir Kondratovich, and Zhengping Li "Validation of early GOES-16 ABI on-orbit geometrical calibration accuracy using SNO method", Proc. SPIE 10402, Earth Observing Systems XXII, 104020U (5 September 2017); https://doi.org/10.1117/12.2275196
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Calibration

Image registration

Meteorological satellites

Natural disasters

Reflectivity

Satellite imaging

Satellites

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