Concentrations of Multiple Phytoplankton Pigments in the Global Oceans Obtained from Satellite Ocean Color Measurements with MERIS
The remote sensing of chlorophyll <i>a</i> concentration from ocean color satellites has been an essential variable quantifying phytoplankton in the past decades, yet estimation of accessory pigments from ocean color remote sensing data has remained largely elusive. In this study, we val...
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MDPI AG
2018-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/8/12/2678 |
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| author | Guoqing Wang Zhongping Lee Colleen B. Mouw |
| author_facet | Guoqing Wang Zhongping Lee Colleen B. Mouw |
| author_sort | Guoqing Wang |
| collection | DOAJ |
| description | The remote sensing of chlorophyll <i>a</i> concentration from ocean color satellites has been an essential variable quantifying phytoplankton in the past decades, yet estimation of accessory pigments from ocean color remote sensing data has remained largely elusive. In this study, we validated the concentrations of multiple pigments (Cpigs) retrieved from in situ and MEdium Resolution Imaging Spectrometer (MERIS) measured remote sensing reflectance (<i>R</i><sub>rs</sub>(λ)) in the global oceans. A multi-pigment inversion model (MuPI) was used to semi-analytically retrieve Cpigs from <i>R</i><sub>rs</sub>(λ). With a set of globally optimized parameters, the accuracy of the retrievals obtained with MuPI is quite promising. Compared with High-Performance Liquid Chromatography (HPLC) measurements near Bermuda, the concentrations of chlorophyll <i>a</i>, <i>b</i>, <i>c</i> ([Chl-a], [Chl-b], [Chl-c]), photoprotective carotenoids ([PPC]), and photosynthetic carotenoids ([PSC]) can be retrieved from MERIS data with a mean unbiased absolute percentage difference of 38%, 78%, 65%, 36%, and 47%, respectively. The advantage of the MuPI approach is the simultaneous retrievals of [Chl-a] and the accessory pigments [Chl-b], [Chl-c], [PPC], [PSC] from MERIS <i>R</i><sub>rs</sub>(λ) based on a closure between the input and output <i>R</i><sub>rs</sub>(λ) spectra. These results can greatly expand scientific studies of ocean biology and biogeochemistry of the global oceans that are not possible when the only available information is [Chl-a]. |
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| spelling | doaj.art-a3f06b7147bb4553a5a8172c1e20cbbe2022-12-21T19:11:45ZengMDPI AGApplied Sciences2076-34172018-12-01812267810.3390/app8122678app8122678Concentrations of Multiple Phytoplankton Pigments in the Global Oceans Obtained from Satellite Ocean Color Measurements with MERISGuoqing Wang0Zhongping Lee1Colleen B. Mouw2School for the Environment, University of Massachusetts Boston, Boston, MA 02125, USASchool for the Environment, University of Massachusetts Boston, Boston, MA 02125, USAGraduate School of Oceanography, University of Rhode Island, Narragansett, RI 02882, USAThe remote sensing of chlorophyll <i>a</i> concentration from ocean color satellites has been an essential variable quantifying phytoplankton in the past decades, yet estimation of accessory pigments from ocean color remote sensing data has remained largely elusive. In this study, we validated the concentrations of multiple pigments (Cpigs) retrieved from in situ and MEdium Resolution Imaging Spectrometer (MERIS) measured remote sensing reflectance (<i>R</i><sub>rs</sub>(λ)) in the global oceans. A multi-pigment inversion model (MuPI) was used to semi-analytically retrieve Cpigs from <i>R</i><sub>rs</sub>(λ). With a set of globally optimized parameters, the accuracy of the retrievals obtained with MuPI is quite promising. Compared with High-Performance Liquid Chromatography (HPLC) measurements near Bermuda, the concentrations of chlorophyll <i>a</i>, <i>b</i>, <i>c</i> ([Chl-a], [Chl-b], [Chl-c]), photoprotective carotenoids ([PPC]), and photosynthetic carotenoids ([PSC]) can be retrieved from MERIS data with a mean unbiased absolute percentage difference of 38%, 78%, 65%, 36%, and 47%, respectively. The advantage of the MuPI approach is the simultaneous retrievals of [Chl-a] and the accessory pigments [Chl-b], [Chl-c], [PPC], [PSC] from MERIS <i>R</i><sub>rs</sub>(λ) based on a closure between the input and output <i>R</i><sub>rs</sub>(λ) spectra. These results can greatly expand scientific studies of ocean biology and biogeochemistry of the global oceans that are not possible when the only available information is [Chl-a].https://www.mdpi.com/2076-3417/8/12/2678phytoplankton pigmentsocean colorremote sensingMERISglobal oceans |
| spellingShingle | Guoqing Wang Zhongping Lee Colleen B. Mouw Concentrations of Multiple Phytoplankton Pigments in the Global Oceans Obtained from Satellite Ocean Color Measurements with MERIS Applied Sciences phytoplankton pigments ocean color remote sensing MERIS global oceans |
| title | Concentrations of Multiple Phytoplankton Pigments in the Global Oceans Obtained from Satellite Ocean Color Measurements with MERIS |
| title_full | Concentrations of Multiple Phytoplankton Pigments in the Global Oceans Obtained from Satellite Ocean Color Measurements with MERIS |
| title_fullStr | Concentrations of Multiple Phytoplankton Pigments in the Global Oceans Obtained from Satellite Ocean Color Measurements with MERIS |
| title_full_unstemmed | Concentrations of Multiple Phytoplankton Pigments in the Global Oceans Obtained from Satellite Ocean Color Measurements with MERIS |
| title_short | Concentrations of Multiple Phytoplankton Pigments in the Global Oceans Obtained from Satellite Ocean Color Measurements with MERIS |
| title_sort | concentrations of multiple phytoplankton pigments in the global oceans obtained from satellite ocean color measurements with meris |
| topic | phytoplankton pigments ocean color remote sensing MERIS global oceans |
| url | https://www.mdpi.com/2076-3417/8/12/2678 |
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