Optimizing retrieval spaces of bio-optical models for remote sensing of ocean color

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dc.contributor.authorHannadige, Neranga K.
dc.contributor.authorZhai, Peng-Wang
dc.contributor.authorWerdell, P. Jeremy
dc.contributor.authorGao, Meng
dc.contributor.authorFranz, Bryan A.
dc.contributor.authorKnobelspiesse, Kirk
dc.contributor.authorIbrahim, Amir
dc.date.accessioned2023-05-18T18:01:06Z
dc.date.available2023-05-18T18:01:06Z
dc.date.issued2023-04-21
dc.description.abstractWe investigated the optimal number of independent parameters required to accurately represent spectral remote sensing reflectances (๐‘…แตฃโ‚› ) by performing principal component analysis on quality controlled in situ and synthetic ๐‘…แตฃโ‚› data. We found that retrieval algorithms should be able to retrieve no more than four free parameters from ๐‘…แตฃโ‚› spectra for most ocean waters. In addition, we evaluated the performance of five different bio-optical models with different numbers of free parameters for the direct inversion of in-water inherent optical properties (IOPs) from in situ and synthetic ๐‘…แตฃโ‚› data. The multi-parameter models showed similar performances regardless of the number of parameters. Considering the computational cost associated with larger parameter spaces, we recommend bio-optical models with three free parameters for the use of IOP or joint retrieval algorithms.en_US
dc.description.sponsorshipNational Aeronautics and Space Administration (80NSSC20M0227); National Science Foundation (CNS-0821258, CNS-1228778, OAC-1726023, DMS-0821311).en_US
dc.description.urihttps://opg.optica.org/ao/fulltext.cfm?uri=ao-62-13-3299&id=529317en_US
dc.format.extent11 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2f30d-swjw
dc.identifier.citationHannadige, Neranga K., et al. "Optimizing retrieval spaces of bio-optical models for remote sensing of ocean color" Appl. Opt. 62 (21 April, 2023): pp. 3299-3309. https://doi.org/10.1364/AO.484082.en_US
dc.identifier.urihttps://doi.org/10.1364/AO.484082
dc.identifier.urihttp://hdl.handle.net/11603/28024
dc.language.isoen_USen_US
dc.publisherOpticaen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Physics Department
dc.relation.ispartofUMBC Student Collection
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleOptimizing retrieval spaces of bio-optical models for remote sensing of ocean coloren_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-4695-5200en_US

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