Development of Suspended Particulate Matter Algorithms for Ocean Color Remote Sensing KCI OTHER

DC Field Value Language
dc.contributor.author 안유환 -
dc.contributor.author 문정언 -
dc.contributor.author S. Gallegos -
dc.date.accessioned 2020-04-21T07:55:40Z -
dc.date.available 2020-04-21T07:55:40Z -
dc.date.created 2020-02-04 -
dc.date.issued 2001-01 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/5921 -
dc.description.abstract We developed a CASE-II water model that will enable the simulation of remote sensing reflectance( Rrs ) at the coastal waters for the retrieval of suspended sediments (SS) concentrations from satellite imagery. The model has six components which are: water, chlorophyll, dissolved organic matter (DOM), non-chlorophyllous particles (NC), heterotrophic microorganisms and an unknown component, possibly represented by bubbles or other particulates unrelated to the five first components. We measured Rrs , concentration of SS and chlorophyll, and absorption of DOM during our field campaigns in Korea. In addition, we generated Rrs from different concentrations of SS and chlorophyll, and various absorptions of DOM by random number functions to create a large database to test the model. We assimilated both the computer generated parameters as well as the in-situ measurements in order to reconstruct the reflectance spectra. We validated the model by comparing model-reconstructed spectra with observed spectra. The estimated Rrs spectra were used to (1) evaluate the performance of four wavelengths and wavelengths ratios for accurate retrieval of SS. 2) identify the optimum band for SS retrieval, and 3) assess the influence of the SS on the chlorophyll algorithm. The results indicate that single bands at longer wavelengths in visible better results than commonly used channel ratios. The wavelength of 625nm is suggested as a new and optimal wavelength for SS retrieval. Because this wavelength is not available from SeaWiFS, 555nm is offered as an alternative. The presence of SS in coastal areas can lead to overestimation chlorophyll concentrations greater than 20-500%. -
dc.description.uri 3 -
dc.language English -
dc.title Development of Suspended Particulate Matter Algorithms for Ocean Color Remote Sensing -
dc.type Article -
dc.citation.endPage 295 -
dc.citation.startPage 285 -
dc.citation.title Korean Journal of Remote Sensing -
dc.citation.volume 17 -
dc.citation.number 4 -
dc.contributor.alternativeName 안유환 -
dc.contributor.alternativeName 문정언 -
dc.identifier.bibliographicCitation Korean Journal of Remote Sensing, v.17, no.4, pp.285 - 295 -
dc.description.journalClass 3 -
dc.description.isOpenAccess N -
dc.subject.keywordAuthor CASE-II Water -
dc.subject.keywordAuthor Remote Sensing Reflectance Model -
dc.subject.keywordAuthor SS Algorithms -
dc.description.journalRegisteredClass kci -
dc.description.journalRegisteredClass other -
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Marine Digital Resources Department > Korea Ocean Satellite Center > 1. Journal Articles
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