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Performance of operational satellite bio-optical algorithms in different water types in the southeastern Arabian Sea

dc.contributor.authorP. Minu
dc.contributor.authorAneesh A. Lotliker
dc.contributor.authorS.S. Shaju
dc.contributor.authorP. Muhamed Ashraf
dc.contributor.authorT. Srinivasa Kumar
dc.contributor.authorB. Meenakumari
dc.contributor.otherICAR – Central Institute of Fisheries Technology, Kochi, India
dc.contributor.otherIndian National Centre for Ocean Information Services (INCOIS), Hyderabad, India
dc.contributor.otherICAR – Central Institute of Fisheries Technology, Kochi, India
dc.contributor.otherICAR – Central Institute of Fisheries Technology, Kochi, India
dc.contributor.otherIndian National Centre for Ocean Information Services (INCOIS), Hyderabad, India
dc.contributor.otherIndian Council for Agricultural Research, New Delhi, India
dc.date.accessioned2016-10-25T07:30:19Z
dc.date.available2025-10-02T04:22:24Z
dc.date.issued01-10-2016
dc.identifier.issn-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0078323416300306
dc.description.abstractThe in situ remote sensing reflectance (Rrs) and optically active substances (OAS) measured using hyperspectral radiometer, were used for optical classification of coastal waters in the southeastern Arabian Sea. The spectral Rrs showed three distinct water types, that were associated with the variability in OAS such as chlorophyll-a (chl-a), chromophoric dissolved organic matter (CDOM) and volume scattering function at 650 nm (β650). The water types were classified as Type-I, Type-II and Type-III respectively for the three Rrs spectra. The Type-I waters showed the peak Rrs in the blue band (470 nm), whereas in the case of Type-II and III waters the peak Rrs was at 560 and 570 nm respectively. The shifting of the peak Rrs at the longer wavelength was due to an increase in concentration of OAS. Further, we evaluated six bio-optical algorithms (OC3C, OC4O, OC4, OC4E, OC3M and OC4O2) used operationally to retrieve chl-a from Coastal Zone Colour Scanner (CZCS), Ocean Colour Temperature Scanner (OCTS), Sea-viewing Wide Field-of-view Sensor (SeaWiFS), MEdium Resolution Imaging Spectrometer (MERIS), Moderate Resolution Imaging Spectroradiometer (MODIS) and Ocean Colour Monitor (OCM2). For chl-a concentration greater than 1.0 mg m−3, algorithms based on the reference band ratios 488/510/520 nm to 547/550/555/560/565 nm have to be considered. The assessment of algorithms showed better performance of OC3M and OC4. All the algorithms exhibited better performance in Type-I waters. However, the performance was poor in Type-II and Type-III waters which could be attributed to the significant co-variance of chl-a with CDOM.
dc.format-
dc.language.isoEN
dc.publisherElsevier
dc.relation.uri['https://www.journals.elsevier.com/giant', 'https://www.elsevier.com/journals/giant/2666-5425/guide-for-authors', 'https://www.elsevier.com/authors/open-access/choice#waivers']
dc.rights['CC BY', 'CC BY-NC-ND', 'CC BY-NC']
dc.subject['macromolecules', 'supramolecular chemistry', 'assembly', 'bio-inspired surfaces', 'soft-matter', 'hybrid materials', 'Science (General)', 'Q1-390']
dc.subject.lccOceanography
dc.titlePerformance of operational satellite bio-optical algorithms in different water types in the southeastern Arabian Sea
dc.typeArticle
dc.description.keywordsRemote sensing reflectance
dc.description.keywordsAlgorithms
dc.description.keywordsChlorophyll-a
dc.description.keywordsCDOM
dc.description.keywordsArabian Sea
dc.description.keywordsSATCORE
dc.description.pages317-326
dc.description.doi10.1016/j.oceano.2016.05.005
dc.title.journalOceanologia
dc.identifier.e-issn-
dc.identifier.oaioai:doaj.org/journal:18e7c0c742bc4703929250ed89f45247
dc.journal.infoVolume 58, Issue 4


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