Presentation + Paper
9 October 2018 Preliminary study of JPSS-1/NOAA-20 VIIRS day-night band straylight characterization and correction methods
H. Chen, H. Oudrari, C. Sun, T. Schwarting, X. Xiong
Author Affiliations +
Abstract
The JPSS-1 (now named NOAA-20) VIIRS instrument has successfully operated since its launch in November 18, 2017. A panchromatic channel onboard NOAA-20 VIIRS is called the day-night band (DNB). With its large dynamic range and high sensitivity, the DNB detectors can make observations during both daytime and nighttime. However, the DNB night image quality is affected by the straylight contamination. In this study, we focused on Earth view data in the mid-to-high latitude of the northern and southern hemispheres when spacecraft is crossing the day/night terminators at the beginning of NOAA-20 mission. Based on on-orbit data analysis from previous VIIRS sensor onboard S-NPP mission, straylight contamination mainly depends on the Earth-Sun-spacecraft geometry, and it is also detector and scan-angle dependent. Inter-comparison investigation of straylight behavior in both SNPP and NOAA-20 instruments will be conducted to better understand straylight characteristics. The preliminary study has been performed in this paper to mitigate straylight contamination for NOAA-20VIIRS DNB night images. The effectiveness of the straylight correction algorithm, directly adapted from the S-NPP DNB, is assessed for night images in the day/night terminators. Further work has been identified to improve current straylight correction methodology and DNB-based environmental data products.NOAA-20.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H. Chen, H. Oudrari, C. Sun, T. Schwarting, and X. Xiong "Preliminary study of JPSS-1/NOAA-20 VIIRS day-night band straylight characterization and correction methods", Proc. SPIE 10789, Image and Signal Processing for Remote Sensing XXIV, 1078907 (9 October 2018); https://doi.org/10.1117/12.2325458
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KEYWORDS
Contamination

Sensors

Calibration

Image quality

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