Mission-Long Recalibrated Science Quality Suomi NPP VIIRS Radiometric Dataset Using Advanced Algorithms for Time Series Studies

Cao, Changyong; Zhang, Bin; Shao, Xi; Wang, Wenhui; Uprety, Sirish; Choi, Taeyoung; Blonski, Slawomir; Gu, Yalong; Bai, Yan; Lin, Lin; Kalluri, Satya

doi:10.3390/rs13061075

i

Mission-Long Recalibrated Science Quality Suomi NPP VIIRS Radiometric Dataset Using Advanced Algorithms for Time Series Studies

2021
By Cao, Changyong ; Zhang, Bin ; Shao, Xi ; ...

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Journal Title:

Remote Sensing
Personal Author:

Cao, Changyong ; Zhang, Bin ; Shao, Xi ; Wang, Wenhui ; Uprety, Sirish ; Choi, Taeyoung ; Blonski, Slawomir ; Gu, Yalong ; Bai, Yan ; Lin, Lin ; Kalluri, Satya
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)
Description:

Suomi NPP has been successfully operating since its launch on 28 October 2011. As one of the major payloads, along with microwave and infrared sounders (Advanced Technology Microwave Sounder (ATMS), Cross-track Infrared Sounder (CrIS)), and ozone mapping/profiling (OMPS) instruments, the Visible Infrared Imaging Radiometer Suite (VIIRS) has performed for well beyond its mission design life. Its data have been used for a variety of applications for nearly 30 environmental data products, including global imagery twice daily with 375 and 750 m resolutions, clouds, aerosol, cryosphere, ocean color and sea-surface temperature, a number of land products (vegetation, land-cover, fire and others), and geophysical and social economic studies with nightlights. During the early days of VIIRS operational calibration and data production, there were inconsistencies in both algorithms and calibration inputs, for several reasons. While these inconsistencies have less impact on nowcasting and near real-time applications, they introduce challenges for time series analysis due to calibration artifacts. To address this issue, we developed a comprehensive algorithm, and recalibrated and reprocessed the Suomi NPP VIIRS radiometric data that have been produced since the launch. In the recalibration, we resolved inconsistencies in the processing algorithms, terrain correction, straylight correction, and anomalies in the thermal bands.
Keywords:

Accuracy DNB Reprocessing Kalman Filtering Radiometric Consistency Radiometric Stability SRRS Model Suomi NPP VIIRS Recalibration VIIRS Reprocessing VIIRS Reprocessing System WUCD
Source:

Remote Sens. 2021, 13(6), 1075
DOI:

https://doi.org/10.3390/rs13061075
Document Type:

Journal Article
Funding:

Grant no. NA19NES4320002
Rights Information:

CC BY
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Submitted
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urn:sha256:cacdb41f3ed91c77e6606d670864eed2c46b95580f40741aa9872904a70a7b71
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https://repository.library.noaa.gov/view/noaa/41829/noaa_41829_DS1.pdf
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