Atmospheric Correction of Hyperspectral GCAS Airborne Measurements Over the North Atlantic Ocean and Louisiana Shelf
The Geostationary Coastal and Air Pollution Events Airborne Simulator (GCAS) instrument has been used as a precursor for a hyperspectral instrument on the future geostationary satellite, yet its ability to “measure” ocean reflectance needs to be evaluated. Here, we demonstrate its capacity through v...
Published in: | IEEE Transactions on Geoscience and Remote Sensing |
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Online Access: | https://digitalcommons.usf.edu/msc_facpub/1996 https://doi.org/10.1109/TGRS.2017.2744323 |
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ftusouthflorida:oai:digitalcommons.usf.edu:msc_facpub-2935 2023-07-30T04:05:18+02:00 Atmospheric Correction of Hyperspectral GCAS Airborne Measurements Over the North Atlantic Ocean and Louisiana Shelf Zhang, Minwei Hu, Chuanmin Kowalewski, Matthew G. Janz, Scott J. 2018-01-01T08:00:00Z https://digitalcommons.usf.edu/msc_facpub/1996 https://doi.org/10.1109/TGRS.2017.2744323 unknown Digital Commons @ University of South Florida https://digitalcommons.usf.edu/msc_facpub/1996 doi:10.1109/TGRS.2017.2744323 https://doi.org/10.1109/TGRS.2017.2744323 Marine Science Faculty Publications Atmospheric measurements Sea measurements Atmospheric modeling Calibration Pollution measurement Oceans MODIS Life Sciences article 2018 ftusouthflorida https://doi.org/10.1109/TGRS.2017.2744323 2023-07-13T21:03:04Z The Geostationary Coastal and Air Pollution Events Airborne Simulator (GCAS) instrument has been used as a precursor for a hyperspectral instrument on the future geostationary satellite, yet its ability to “measure” ocean reflectance needs to be evaluated. Here, we demonstrate its capacity through vicarious calibration and atmospheric correction of data collected during flight campaigns over the Louisiana shelf in September 2013 and over the North Atlantic Ocean in November 2015. GCAS-measured at-sensor radiance was first vicariously calibrated using concurrent measurements by the Moderate Resolution Imaging Spectrometer (MODIS) and radiative transfer simulations with the MODerate resolution atmospheric TRANsmission (MODTRAN). Then, atmospheric correction has been implemented using MODTRAN-developed lookup tables and the traditional Gordon and Wang “black pixel” approach but with nonzero water-leaving radiance in the near-infrared accounted for through iteration. The atmospheric correction algorithm was applied to the vicariously calibrated GCAS imagery, with resulting R rs compared with concurrent MODIS R rs and in situ R rs . The comparison shows a mean relative difference of about 25% (N = 11) between GCAS and in situ R rs in the blue-green bands for clear to moderately turbid waters. Article in Journal/Newspaper North Atlantic University of South Florida St. Petersburg: Digital USFSP IEEE Transactions on Geoscience and Remote Sensing 56 1 168 179 |
institution |
Open Polar |
collection |
University of South Florida St. Petersburg: Digital USFSP |
op_collection_id |
ftusouthflorida |
language |
unknown |
topic |
Atmospheric measurements Sea measurements Atmospheric modeling Calibration Pollution measurement Oceans MODIS Life Sciences |
spellingShingle |
Atmospheric measurements Sea measurements Atmospheric modeling Calibration Pollution measurement Oceans MODIS Life Sciences Zhang, Minwei Hu, Chuanmin Kowalewski, Matthew G. Janz, Scott J. Atmospheric Correction of Hyperspectral GCAS Airborne Measurements Over the North Atlantic Ocean and Louisiana Shelf |
topic_facet |
Atmospheric measurements Sea measurements Atmospheric modeling Calibration Pollution measurement Oceans MODIS Life Sciences |
description |
The Geostationary Coastal and Air Pollution Events Airborne Simulator (GCAS) instrument has been used as a precursor for a hyperspectral instrument on the future geostationary satellite, yet its ability to “measure” ocean reflectance needs to be evaluated. Here, we demonstrate its capacity through vicarious calibration and atmospheric correction of data collected during flight campaigns over the Louisiana shelf in September 2013 and over the North Atlantic Ocean in November 2015. GCAS-measured at-sensor radiance was first vicariously calibrated using concurrent measurements by the Moderate Resolution Imaging Spectrometer (MODIS) and radiative transfer simulations with the MODerate resolution atmospheric TRANsmission (MODTRAN). Then, atmospheric correction has been implemented using MODTRAN-developed lookup tables and the traditional Gordon and Wang “black pixel” approach but with nonzero water-leaving radiance in the near-infrared accounted for through iteration. The atmospheric correction algorithm was applied to the vicariously calibrated GCAS imagery, with resulting R rs compared with concurrent MODIS R rs and in situ R rs . The comparison shows a mean relative difference of about 25% (N = 11) between GCAS and in situ R rs in the blue-green bands for clear to moderately turbid waters. |
format |
Article in Journal/Newspaper |
author |
Zhang, Minwei Hu, Chuanmin Kowalewski, Matthew G. Janz, Scott J. |
author_facet |
Zhang, Minwei Hu, Chuanmin Kowalewski, Matthew G. Janz, Scott J. |
author_sort |
Zhang, Minwei |
title |
Atmospheric Correction of Hyperspectral GCAS Airborne Measurements Over the North Atlantic Ocean and Louisiana Shelf |
title_short |
Atmospheric Correction of Hyperspectral GCAS Airborne Measurements Over the North Atlantic Ocean and Louisiana Shelf |
title_full |
Atmospheric Correction of Hyperspectral GCAS Airborne Measurements Over the North Atlantic Ocean and Louisiana Shelf |
title_fullStr |
Atmospheric Correction of Hyperspectral GCAS Airborne Measurements Over the North Atlantic Ocean and Louisiana Shelf |
title_full_unstemmed |
Atmospheric Correction of Hyperspectral GCAS Airborne Measurements Over the North Atlantic Ocean and Louisiana Shelf |
title_sort |
atmospheric correction of hyperspectral gcas airborne measurements over the north atlantic ocean and louisiana shelf |
publisher |
Digital Commons @ University of South Florida |
publishDate |
2018 |
url |
https://digitalcommons.usf.edu/msc_facpub/1996 https://doi.org/10.1109/TGRS.2017.2744323 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Marine Science Faculty Publications |
op_relation |
https://digitalcommons.usf.edu/msc_facpub/1996 doi:10.1109/TGRS.2017.2744323 https://doi.org/10.1109/TGRS.2017.2744323 |
op_doi |
https://doi.org/10.1109/TGRS.2017.2744323 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
container_volume |
56 |
container_issue |
1 |
container_start_page |
168 |
op_container_end_page |
179 |
_version_ |
1772817122722840576 |