Comparison of Aerosol Reflectance Correction Schemes Using Two Near-Infrared Wavelengths for Ocean Color Data Processing SCIE SCOPUS

DC Field Value Language
dc.contributor.author Ahn, Jae-Hyun -
dc.contributor.author Park, Young-Je -
dc.contributor.author Fukushima, Hajime -
dc.date.accessioned 2020-04-16T08:40:09Z -
dc.date.available 2020-04-16T08:40:09Z -
dc.date.created 2020-01-28 -
dc.date.issued 2018-11 -
dc.identifier.issn 2072-4292 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/813 -
dc.description.abstract This paper reanalyzes the aerosol reflectance correction schemes employed by major ocean color missions. The utilization of two near-infrared (NIR) bands to estimate aerosol reflectance in visible wavelengths has been widely adopted, for example by SeaWiFS/MODIS/VIIRS (GW1994), OCTS/GLI/SGLI (F1998), MERIS/OLCI (AM1999), and GOCI/GOCI-II (A2016). The F1998, AM1999, and A2016 schemes were developed based on GW1994; however, they are implemented differently in terms of aerosol model selection and weighting factor computation. The F1998 scheme determines the contribution of the most appropriate aerosol models in the aerosol optical thickness domain, whereas the GW1994 scheme focuses on single-scattering reflectance. The AM1999 and A2016 schemes both directly resolve the multiple scattering domain contribution. However, A2016 also considers the spectrally dependent weighting factor, whereas AM1999 calculates the spectrally invariant weighting factor. Additionally, ocean color measurements on a geostationary platform, such as GOCI, require more accurate aerosol correction schemes because the measurements are made over a large range of solar zenith angles which causes diurnal instabilities in the atmospheric correction. Herein, the four correction schemes were tested with simulated top-of-atmosphere radiances generated by radiative transfer simulations for three aerosol models. For comparison, look-up tables and test data were generated using the same radiative transfer simulation code. All schemes showed acceptable accuracy, with less than 10% median error in water reflectance retrieval at 443 nm. Notably, the accuracy of the A2016 scheme was similar among different aerosol models, whereas the other schemes tended to provide better accuracy with coarse aerosol models than the fine aerosol models. -
dc.description.uri 1 -
dc.language English -
dc.publisher MDPI -
dc.subject SURFACE-ROUGHNESS CONSIDERATIONS -
dc.subject RADIATIVE-TRANSFER CODE -
dc.subject ATMOSPHERIC CORRECTION -
dc.subject MULTIPLE-SCATTERING -
dc.subject OPTICAL-THICKNESS -
dc.subject VECTOR VERSION -
dc.subject SATELLITE DATA -
dc.subject SEAWIFS -
dc.subject RADIANCE -
dc.subject CALIBRATION -
dc.title Comparison of Aerosol Reflectance Correction Schemes Using Two Near-Infrared Wavelengths for Ocean Color Data Processing -
dc.type Article -
dc.citation.title REMOTE SENSING -
dc.citation.volume 10 -
dc.citation.number 11 -
dc.contributor.alternativeName 안재현 -
dc.contributor.alternativeName 박영제 -
dc.identifier.bibliographicCitation REMOTE SENSING, v.10, no.11 -
dc.identifier.doi 10.3390/rs10111791 -
dc.identifier.scopusid 2-s2.0-85057126780 -
dc.identifier.wosid 000451733800122 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.subject.keywordPlus SURFACE-ROUGHNESS CONSIDERATIONS -
dc.subject.keywordPlus RADIATIVE-TRANSFER CODE -
dc.subject.keywordPlus ATMOSPHERIC CORRECTION -
dc.subject.keywordPlus MULTIPLE-SCATTERING -
dc.subject.keywordPlus OPTICAL-THICKNESS -
dc.subject.keywordPlus VECTOR VERSION -
dc.subject.keywordPlus SATELLITE DATA -
dc.subject.keywordPlus SEAWIFS -
dc.subject.keywordPlus RADIANCE -
dc.subject.keywordPlus CALIBRATION -
dc.subject.keywordAuthor atmospheric correction -
dc.subject.keywordAuthor ocean color -
dc.subject.keywordAuthor remote sensing -
dc.subject.keywordAuthor radiative transfer -
dc.relation.journalWebOfScienceCategory Remote Sensing -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Remote Sensing -
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Marine Digital Resources Department > Korea Ocean Satellite Center > 1. Journal Articles
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