Literature DB >> 31379395

CHLOROPHYLL ALGORITHMS FOR OCEAN COLOR SENSORS - OC4, OC5 & OC6.

John E O'Reilly1, P Jeremy Werdell2.   

Abstract

A high degree of consistency and comparability among chlorophyll algorithms is necessary to meet the goals of merging data from concurrent overlapping ocean color missions for increased coverage of the global ocean and to extend existing time series to encompass data from recently launched missions and those planned for the near future, such as PACE, OLCI, HawkEye, EnMAP and SABIA-MAR. To accomplish these goals, we developed 65 empirical ocean color (OC) maximum band ratio (MBR) algorithms for 25 satellite instruments using the largest available and most globally representative database of coincident in situ chlorophyll a and remote sensing reflectances. Excellent internal consistency was achieved across these OC 'Version -7' algorithms, as demonstrated by a median regression slope and coefficient of determination (R2) of 0.985 and 0.859, respectively, between 903 pairwise comparisons of OC-modeled chlorophyll. SeaWiFS and MODIS-Aqua satellite-to-in situ match-up results indicated equivalent, and sometimes superior, performance to current heritage chlorophyll algorithms. During the past forty years of ocean color research the violet band (412 nm) has rarely been used in empirical algorithms to estimate chlorophyll concentrations in oceanic surface water. While the peak in chlorophyll-specific absorption coincides with the 443 nm band present on most ocean color sensors, the magnitude of chlorophyll-specific absorption at 412 nm can reach upwards of ~70% of that at 443 nm. Nearly one third of total chlorophyll-specific absorption between 400 and 700 nm occurs below 443 nm, suggesting that bands below 443 nm, such as the 412 nm band present on most ocean color sensors, may also be useful in detecting chlorophyll under certain conditions and assumptions. The 412 nm band is also the brightest band (that is, with the most dominant magnitude) in remotely sensed reflectances retrieved by heritage passive ocean color instruments when chlorophyll is less than ~0.1 mg m-3, which encompasses ~24% of the global ocean. To attempt to exploit this additional spectral information, we developed two new families of OC algorithms, the OC5 and OC6 algorithms, which include the 412 nm band in the MBR. By using this brightest band in MBR empirical chlorophyll algorithms, the highest possible dynamic range of MBR may be achieved in these oligotrophic areas. The terms oligotrophic, mesotrophic, and eutrophic get frequent use in the scientific literature to designate trophic status; however, quantitative definitions in terms of chlorophyll levels are arbitrarily defined. We developed a new, reproducible, bio-optically based index for trophic status based on the frequency of the brightest, maximum band in the MBR for the OC6_SEAWIFS algorithm, along with remote sensing reflectances from the entire SeaWiFS mission. This index defines oligotrophic water as chlorophyll less than ~0.1 mg m-3, eutrophic water as chlorophyll above 1.67 mg m-3 and mesotrophic water as chlorophyll between 0.1 and 1.67 mg m-3. Applying these criteria to the 40-year mean global ocean chlorophyll data set revealed that oligotrophic, mesotrophic, and eutrophic water occupy ~24%, 67%, and 9%, respectively, of the area of the global ocean on average.

Entities:  

Keywords:  Satellite remote sensing; bio-optical algorithms; chlorophyll-a; ocean color; ocean optics

Year:  2019        PMID: 31379395      PMCID: PMC6677157          DOI: 10.1016/j.rse.2019.04.021

Source DB:  PubMed          Journal:  Remote Sens Environ        ISSN: 0034-4257            Impact factor:   10.164


  5 in total

1.  Global Estimation of Suspended Particulate Matter From Satellite Ocean Color Imagery.

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2.  Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data.

Authors:  Jason K Jolliff; M David Lewis; Sherwin Ladner; Richard L Crout
Journal:  Sensors (Basel)       Date:  2019-09-10       Impact factor: 3.576

3.  A biological Indian Ocean Dipole event in 2019.

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Journal:  Sci Rep       Date:  2021-01-28       Impact factor: 4.379

4.  Remote Sensing of Dispersed Oil Pollution in the Ocean-The Role of Chlorophyll Concentration.

Authors:  Kamila Haule; Włodzimierz Freda
Journal:  Sensors (Basel)       Date:  2021-05-13       Impact factor: 3.576

5.  Development and Validation of an Empirical Ocean Color Algorithm with Uncertainties: A Case Study with the Particulate Backscattering Coefficient.

Authors:  Lachlan I W McKinna; Ivona Cetinić; P Jeremy Werdell
Journal:  J Geophys Res Oceans       Date:  2021-05-03       Impact factor: 3.405

  5 in total

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