Evaluation of Ocean Color Data Processing Schemes For VIIRS Sensor Using In-Situ Data of Coastal AERONET-OC Sites

In the processing of Ocean Color (OC) data from sensor data recorded by Visible Infrared Imaging Radiometer Suite (VIIRS) aboard JPSS-Suomi satellite, NASA Ocean Biology Processing Group (OBPG) is deriving a continuous temporal calibration based on the on-board calibration measurements for the visib...

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Published in:SPIE Proceedings, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2013
Main Authors: Ahmed, S., Gilerson, A., Hlaing, S., Weidemann, A., Arnone, Robert A., Wang, M.
Format: Text
Language:unknown
Published: The Aquila Digital Community 2013
Subjects:
Online Access:https://aquila.usm.edu/fac_pubs/20429
https://doi.org/10.1117/12.2028821
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spelling ftsouthmissispun:oai:aquila.usm.edu:fac_pubs-21772 2023-07-30T03:55:33+02:00 Evaluation of Ocean Color Data Processing Schemes For VIIRS Sensor Using In-Situ Data of Coastal AERONET-OC Sites Ahmed, S. Gilerson, A. Hlaing, S. Weidemann, A. Arnone, Robert A. Wang, M. 2013-10-26T07:00:00Z https://aquila.usm.edu/fac_pubs/20429 https://doi.org/10.1117/12.2028821 unknown The Aquila Digital Community https://aquila.usm.edu/fac_pubs/20429 https://doi.org/10.1117/12.2028821 Faculty Publications AERONET-OC aerosol atmospheric correction MODIS Ocean Color remote sensing validation VIIRS water leaving radiance Geography Remote Sensing Social and Behavioral Sciences text 2013 ftsouthmissispun https://doi.org/10.1117/12.2028821 2023-07-15T18:57:17Z In the processing of Ocean Color (OC) data from sensor data recorded by Visible Infrared Imaging Radiometer Suite (VIIRS) aboard JPSS-Suomi satellite, NASA Ocean Biology Processing Group (OBPG) is deriving a continuous temporal calibration based on the on-board calibration measurements for the visible bands, and then reprocessing the full mission to produce a continuously calibrated sensor data record (SDR) product. In addition, a vicarious calibration during SDR to OC Level-2 processing is applied. In the latest processing the vicarious calibration is derived from the Marine Optical Buoy (MOBY) data, whereas in the initial processing it was derived from a sea surface reflectance model and a climatology of chlorophyll-a concentration. Furthermore, NASA has recently reprocessed the OC data for the entire VIIRS mission with lunar-based temporal calibration and updated vicarious gains. On the other hand, in fulfilling the mission of the U.S. National Oceanic and Atmospheric Administration (NOAA), the Interface Data Processing Segment (IDPS) developed by Raytheon Intelligence and Information Systems, for the processing of the environmental data products from sensor data records, has gained beta status for evaluation. As these processing schemes continue to evolve, monitoring the validity and assessments of the related VIIRS ocean color products are necessary, especially for coastal waters, to evaluate the consistency of these processing and calibration schemes. The ocean color component of the Aerosol Robotic Network (AERONET-OC) has been designed to support long-term satellite ocean color investigations through cross-site measurements collected by autonomous multispectral radiometer systems deployed above water. As part of this network, the Long Island Sound Coastal Observatory (LISCO) near New York City and WaveCIS in the Gulf of Mexico expand those observational capabilities with continuous monitoring as well as (for the LISCO site) additional assessment of the hyper-spectral properties of coastal waters. In the ... Text Aerosol Robotic Network The University of Southern Mississippi: The Aquila Digital Community Long Island Long Island Sound ENVELOPE(-79.366,-79.366,54.800,54.800) SPIE Proceedings, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2013 8888 88880H
institution Open Polar
collection The University of Southern Mississippi: The Aquila Digital Community
op_collection_id ftsouthmissispun
language unknown
topic AERONET-OC
aerosol
atmospheric correction
MODIS
Ocean Color remote sensing
validation
VIIRS
water leaving radiance
Geography
Remote Sensing
Social and Behavioral Sciences
spellingShingle AERONET-OC
aerosol
atmospheric correction
MODIS
Ocean Color remote sensing
validation
VIIRS
water leaving radiance
Geography
Remote Sensing
Social and Behavioral Sciences
Ahmed, S.
Gilerson, A.
Hlaing, S.
Weidemann, A.
Arnone, Robert A.
Wang, M.
Evaluation of Ocean Color Data Processing Schemes For VIIRS Sensor Using In-Situ Data of Coastal AERONET-OC Sites
topic_facet AERONET-OC
aerosol
atmospheric correction
MODIS
Ocean Color remote sensing
validation
VIIRS
water leaving radiance
Geography
Remote Sensing
Social and Behavioral Sciences
description In the processing of Ocean Color (OC) data from sensor data recorded by Visible Infrared Imaging Radiometer Suite (VIIRS) aboard JPSS-Suomi satellite, NASA Ocean Biology Processing Group (OBPG) is deriving a continuous temporal calibration based on the on-board calibration measurements for the visible bands, and then reprocessing the full mission to produce a continuously calibrated sensor data record (SDR) product. In addition, a vicarious calibration during SDR to OC Level-2 processing is applied. In the latest processing the vicarious calibration is derived from the Marine Optical Buoy (MOBY) data, whereas in the initial processing it was derived from a sea surface reflectance model and a climatology of chlorophyll-a concentration. Furthermore, NASA has recently reprocessed the OC data for the entire VIIRS mission with lunar-based temporal calibration and updated vicarious gains. On the other hand, in fulfilling the mission of the U.S. National Oceanic and Atmospheric Administration (NOAA), the Interface Data Processing Segment (IDPS) developed by Raytheon Intelligence and Information Systems, for the processing of the environmental data products from sensor data records, has gained beta status for evaluation. As these processing schemes continue to evolve, monitoring the validity and assessments of the related VIIRS ocean color products are necessary, especially for coastal waters, to evaluate the consistency of these processing and calibration schemes. The ocean color component of the Aerosol Robotic Network (AERONET-OC) has been designed to support long-term satellite ocean color investigations through cross-site measurements collected by autonomous multispectral radiometer systems deployed above water. As part of this network, the Long Island Sound Coastal Observatory (LISCO) near New York City and WaveCIS in the Gulf of Mexico expand those observational capabilities with continuous monitoring as well as (for the LISCO site) additional assessment of the hyper-spectral properties of coastal waters. In the ...
format Text
author Ahmed, S.
Gilerson, A.
Hlaing, S.
Weidemann, A.
Arnone, Robert A.
Wang, M.
author_facet Ahmed, S.
Gilerson, A.
Hlaing, S.
Weidemann, A.
Arnone, Robert A.
Wang, M.
author_sort Ahmed, S.
title Evaluation of Ocean Color Data Processing Schemes For VIIRS Sensor Using In-Situ Data of Coastal AERONET-OC Sites
title_short Evaluation of Ocean Color Data Processing Schemes For VIIRS Sensor Using In-Situ Data of Coastal AERONET-OC Sites
title_full Evaluation of Ocean Color Data Processing Schemes For VIIRS Sensor Using In-Situ Data of Coastal AERONET-OC Sites
title_fullStr Evaluation of Ocean Color Data Processing Schemes For VIIRS Sensor Using In-Situ Data of Coastal AERONET-OC Sites
title_full_unstemmed Evaluation of Ocean Color Data Processing Schemes For VIIRS Sensor Using In-Situ Data of Coastal AERONET-OC Sites
title_sort evaluation of ocean color data processing schemes for viirs sensor using in-situ data of coastal aeronet-oc sites
publisher The Aquila Digital Community
publishDate 2013
url https://aquila.usm.edu/fac_pubs/20429
https://doi.org/10.1117/12.2028821
long_lat ENVELOPE(-79.366,-79.366,54.800,54.800)
geographic Long Island
Long Island Sound
geographic_facet Long Island
Long Island Sound
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Faculty Publications
op_relation https://aquila.usm.edu/fac_pubs/20429
https://doi.org/10.1117/12.2028821
op_doi https://doi.org/10.1117/12.2028821
container_title SPIE Proceedings, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2013
container_volume 8888
container_start_page 88880H
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