Improved NOAA-20 Visible Infrared Imaging Radiometer Suite Day/Night Band Image Quality by Upgraded Gain Calibration

Gu, Yalong; Blonski, Slawomir; Wang, Wenhui; Uprety, Sirish; Choi, Taeyoung; Shao, Xi; Zhang, Bin; Cao, Changyong

doi:10.3390/rs13132509

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Improved NOAA-20 Visible Infrared Imaging Radiometer Suite Day/Night Band Image Quality by Upgraded Gain Calibration

2021
By Gu, Yalong ; Blonski, Slawomir ; Wang, Wenhui ; ...
Source: Remote Sens. 2021, 13(13), 2509

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Journal Title:

Remote Sensing
Personal Author:

Gu, Yalong ; Blonski, Slawomir ; Wang, Wenhui ; Uprety, Sirish ; Choi, Taeyoung ; ... More +

Gu, Yalong ; Blonski, Slawomir ; Wang, Wenhui ; Uprety, Sirish ; Choi, Taeyoung ; Shao, Xi ; Zhang, Bin ; Cao, Changyong Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CISESS (Cooperative Institute for Satellite Earth System Studies)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; CISESS (Cooperative Institute for Satellite Earth System Studies) Less -
Description:

Due to complex radiometric calibration, the imagery collected by the Day/Night Band (DNB) of the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar Partnership (Suomi-NPP) and the NOAA-20 follow-on satellite is subject to artifacts such as striping, which eventually affect Earth remote sensing applications. Through comprehensive analysis using the NOAA-20 VIIRS DNB prelaunch-test and on-orbit data, it is revealed that the striping results from flaws in the calibration process. In particular, a discrepancy between the low-gain stage (LGS) Earth view (EV) gain and the onboard calibrator solar diffuser view gain makes the operational LGS gain coefficients of a few aggregation modes and detectors biased. Detector nonlinearity at low radiance level also induces errors to the mid-gain stage (MGS) and high-gain stage (HGS) gain through the biased gain ratios. These systematic errors are corrected by scaling the operational LGS gains using the factors derived from the NOAA-20 VIIRS DNB prelaunch test data and by adopting linear regression for evaluating the gain ratios. Striping in the NOAA-20 VIIRS DNB imagery is visibly reduced after the upgraded gain calibration process was implemented in the operational calibration.
Keywords:

[+]

Calibration Infrared ImagingRadiometers Remote Sensing Detector Nonlinearity NOAA-20 Radiometric Calibration Striping VIIRS DNB
Source:

Remote Sens. 2021, 13(13), 2509
DOI:

https://doi.org/10.3390/rs13132509
Document Type:

Journal Article
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https://creativecommons.org/licenses/by/4.0/
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CC BY
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Submitted
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urn:sha256:2ed145c8eb0b89bde4454b252dfa66e5ccbbcc94f9f2b5f8d8f18b71517adcab
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https://repository.library.noaa.gov/view/noaa/41017/noaa_41017_DS1.pdf
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Improved NOAA-20 Visible Infrared Imaging Radiometer Suite Day/Night Band Image Quality by Upgraded Gain Calibration

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