Multiband Atmospheric Correction Algorithm for Ocean Color Retrievals
National Aeronautics and Space Administration's (NASA's) current atmospheric correction (AC) algorithm for ocean color utilizes two bands and their ratio in the near infrared (NIR) to estimate aerosol reflectance and aerosol type. The algorithm then extrapolates the spectral dependence of...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-05-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/article/10.3389/feart.2019.00116/full |
| _version_ | 1818281351661486080 |
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| author | Amir Ibrahim Amir Ibrahim Bryan A. Franz Ziauddin Ahmad Ziauddin Ahmad Sean W. Bailey |
| author_facet | Amir Ibrahim Amir Ibrahim Bryan A. Franz Ziauddin Ahmad Ziauddin Ahmad Sean W. Bailey |
| author_sort | Amir Ibrahim |
| collection | DOAJ |
| description | National Aeronautics and Space Administration's (NASA's) current atmospheric correction (AC) algorithm for ocean color utilizes two bands and their ratio in the near infrared (NIR) to estimate aerosol reflectance and aerosol type. The algorithm then extrapolates the spectral dependence of aerosol reflectance to the visible wavelengths based on modeled spectral dependence of the identified aerosol type. Future advanced ocean color sensors, such as the Ocean Color Instrument (OCI) that will be carried on the Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE) satellite, will be capable of measuring the hyperspectral radiance from 340 to 890 nm at 5-nm spectral resolution and at seven discrete short-wave infrared (SWIR) channels: 940, 1,038, 1,250, 1,378, 1,615, 2,130, and 2,260 nm. To optimally employ this unprecedented instrument capability, we propose an improved AC algorithm that utilizes all atmospheric-window channels in the NIR to SWIR spectral range to reduce the uncertainty in the AC process. A theoretical uncertainty analysis of this, namely, multiband AC (MBAC), indicates that the algorithm can reduce the uncertainty in remote sensing reflectance (Rrs) retrievals of the ocean caused by sensor random noise. Furthermore, in optically complex waters, where the NIR signal is affected by contributions from highly reflective turbid waters, the MBAC algorithm can be adaptively weighted to the strongly absorbing SWIR channels to enable improved ocean color retrievals in coastal waters. We provide here a description of the algorithm and demonstrate the improved performance in ocean color retrievals, relative to the current NASA standard AC algorithm, through comparison with field measurements and assessment of propagated uncertainties in applying the MBAC algorithm to MODIS and simulated PACE OCI data. |
| first_indexed | 2024-12-13T00:03:45Z |
| format | Article |
| id | doaj.art-b80009cdf9854d4982cfab54be26bcb6 |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-12-13T00:03:45Z |
| publishDate | 2019-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-b80009cdf9854d4982cfab54be26bcb62022-12-22T00:06:21ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632019-05-01710.3389/feart.2019.00116441214Multiband Atmospheric Correction Algorithm for Ocean Color RetrievalsAmir Ibrahim0Amir Ibrahim1Bryan A. Franz2Ziauddin Ahmad3Ziauddin Ahmad4Sean W. Bailey5Ocean Ecology Laboratory, Goddard Space Flight Center, National Aeronautics and Space Administration, Greenbelt, MD, United StatesScience Systems and Applications Inc., Lanham, MD, United StatesOcean Ecology Laboratory, Goddard Space Flight Center, National Aeronautics and Space Administration, Greenbelt, MD, United StatesOcean Ecology Laboratory, Goddard Space Flight Center, National Aeronautics and Space Administration, Greenbelt, MD, United StatesScience Application International Corp., McLean, VA, United StatesOcean Ecology Laboratory, Goddard Space Flight Center, National Aeronautics and Space Administration, Greenbelt, MD, United StatesNational Aeronautics and Space Administration's (NASA's) current atmospheric correction (AC) algorithm for ocean color utilizes two bands and their ratio in the near infrared (NIR) to estimate aerosol reflectance and aerosol type. The algorithm then extrapolates the spectral dependence of aerosol reflectance to the visible wavelengths based on modeled spectral dependence of the identified aerosol type. Future advanced ocean color sensors, such as the Ocean Color Instrument (OCI) that will be carried on the Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE) satellite, will be capable of measuring the hyperspectral radiance from 340 to 890 nm at 5-nm spectral resolution and at seven discrete short-wave infrared (SWIR) channels: 940, 1,038, 1,250, 1,378, 1,615, 2,130, and 2,260 nm. To optimally employ this unprecedented instrument capability, we propose an improved AC algorithm that utilizes all atmospheric-window channels in the NIR to SWIR spectral range to reduce the uncertainty in the AC process. A theoretical uncertainty analysis of this, namely, multiband AC (MBAC), indicates that the algorithm can reduce the uncertainty in remote sensing reflectance (Rrs) retrievals of the ocean caused by sensor random noise. Furthermore, in optically complex waters, where the NIR signal is affected by contributions from highly reflective turbid waters, the MBAC algorithm can be adaptively weighted to the strongly absorbing SWIR channels to enable improved ocean color retrievals in coastal waters. We provide here a description of the algorithm and demonstrate the improved performance in ocean color retrievals, relative to the current NASA standard AC algorithm, through comparison with field measurements and assessment of propagated uncertainties in applying the MBAC algorithm to MODIS and simulated PACE OCI data.https://www.frontiersin.org/article/10.3389/feart.2019.00116/fullocean coloratmospheric correctionPACEaerosolturbid waters |
| spellingShingle | Amir Ibrahim Amir Ibrahim Bryan A. Franz Ziauddin Ahmad Ziauddin Ahmad Sean W. Bailey Multiband Atmospheric Correction Algorithm for Ocean Color Retrievals Frontiers in Earth Science ocean color atmospheric correction PACE aerosol turbid waters |
| title | Multiband Atmospheric Correction Algorithm for Ocean Color Retrievals |
| title_full | Multiband Atmospheric Correction Algorithm for Ocean Color Retrievals |
| title_fullStr | Multiband Atmospheric Correction Algorithm for Ocean Color Retrievals |
| title_full_unstemmed | Multiband Atmospheric Correction Algorithm for Ocean Color Retrievals |
| title_short | Multiband Atmospheric Correction Algorithm for Ocean Color Retrievals |
| title_sort | multiband atmospheric correction algorithm for ocean color retrievals |
| topic | ocean color atmospheric correction PACE aerosol turbid waters |
| url | https://www.frontiersin.org/article/10.3389/feart.2019.00116/full |
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