2 May 2016 Himawari-8/AHI latest performance of navigation and calibration
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Abstract
The new-generation Himawari-8 geostationary meteorological satellite of the Japan Meteorological Agency (JMA) started operation in July 2015 after the completion of in-orbit testing and checking of the overall system. Himawari-8 features the new Advanced Himawari Imager (AHI), which has 16 bands and double the spatial resolution of its MTSAT-series predecessor satellites [1]. Full-disk imagery is obtained every 10 minutes, and regional observation at 2.5-minute intervals is also conducted. These significant improvements are expected to bring unprecedented levels of performance in nowcasting services and short-range weather forecasting systems. To leverage the full potential of the advanced imager, high precision in navigation and radiometric calibration is essential. This is estimated in off-line processes such as pattern matching for navigation and the Global Space-based Inter-Calibration System (GSICS) for radiometric calibration.

On 9 March 2016, JMA updated its ground processing system, including the image navigation and registration (INR) module, for further quality improvement. This update covered improvement of the band-to-band co-registration process for infrared bands, improvement of the resampling process, and implementation of a coherent noise reduction process. Results from the off-line processes showed that the update had improved Himawari Standard Data (HSD), which is Himawari-8/AHI L1B-equivalent data.
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Tasuku Tabata, Akiyoshi Andou, Kotaro Bessho, Kenji Date, Ryo Dojo, Keita Hosaka, Nobutaka Mori, Hidehiko Murata, Ryuichiro Nakayama, Arata Okuyama, Masaya Takahashi, "Himawari-8/AHI latest performance of navigation and calibration", Proc. SPIE 9881, Earth Observing Missions and Sensors: Development, Implementation, and Characterization IV, 98812J (2 May 2016); doi: 10.1117/12.2240200; http://dx.doi.org/10.1117/12.2240200
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KEYWORDS
Calibration

Infrared radiation

Image processing

Imaging systems

Satellites

Image quality

Denoising

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