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Im, Jungho
Intelligent Remote sensing and geospatial Information Science Lab.
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dc.citation.number 1 -
dc.citation.startPage 2166377 -
dc.citation.title GISCIENCE & REMOTE SENSING -
dc.citation.volume 60 -
dc.contributor.author Kim, Young Jun -
dc.contributor.author Han, Daehyeon -
dc.contributor.author Jang, Eunna -
dc.contributor.author Im, Jungho -
dc.contributor.author Sung, Taejun -
dc.date.accessioned 2023-12-21T13:08:23Z -
dc.date.available 2023-12-21T13:08:23Z -
dc.date.created 2023-02-23 -
dc.date.issued 2023-01 -
dc.description.abstract Salinity is a key parameter that affects the surface, deep circulations, and heat transport of oceans. Sea surface salinity (SSS) represents the salinity at the ocean surface and impacts atmosphere - ocean interactions and vertical ocean circulation. To monitor SSS, three passive microwave radiometers with an L-band (1.4 GHz) have been launched since 2009. The scientific need for SSS retrieval and estimation has grown in recent years; however, the operational retrieval of SSS via satellite remote sensing still faces significant challenges. This study provides a review of satellite-based SSS retrieval methods and guidelines to encourage future research. This paper introduces satellite-derived SSS research trends and summarizes the representative SSS satellite sensors and their retrieval methods. The limitations and challenges of satellite-derived SSS are then discussed. The errors from the retrieval algorithms, discrepancies in the spatio-temporal scales of in situ and remote sensing, and limitations of the satellite-derived SSS are then detailed. Finally, our paper provides suggestions for the future directions of SSS remote sensing in five ways: mitigation of measurement errors, improvement of currently available SSS products, enhancement of the usage of in situ data, reconstruction of three-dimensional salinity information, and synergetic uses of multi-satellite missions. -
dc.identifier.bibliographicCitation GISCIENCE & REMOTE SENSING, v.60, no.1, pp.2166377 -
dc.identifier.doi 10.1080/15481603.2023.2166377 -
dc.identifier.issn 1548-1603 -
dc.identifier.scopusid 2-s2.0-85148643935 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/62000 -
dc.identifier.wosid 000917085800001 -
dc.language 영어 -
dc.publisher TAYLOR & FRANCIS LTD -
dc.title Remote sensing of sea surface salinity: challenges and research directions -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Geography, Physical; Remote Sensing -
dc.relation.journalResearchArea Physical Geography; Remote Sensing -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Sea surface salinity -
dc.subject.keywordAuthor salinity -
dc.subject.keywordAuthor passive microwave -
dc.subject.keywordAuthor Ocean color -
dc.subject.keywordAuthor Remote sensing -
dc.subject.keywordAuthor L-band -
dc.subject.keywordPlus CONVOLUTIONAL NEURAL-NETWORK -
dc.subject.keywordPlus GULF-OF-MEXICO -
dc.subject.keywordPlus MODIS DATA -
dc.subject.keywordPlus MICROWAVE OBSERVATIONS -
dc.subject.keywordPlus TEMPERATURE SATELLITE -
dc.subject.keywordPlus DIELECTRIC-CONSTANT -
dc.subject.keywordPlus OCEAN CIRCULATION -
dc.subject.keywordPlus COASTAL WATERS -
dc.subject.keywordPlus WIND-SPEED -
dc.subject.keywordPlus RECONSTRUCTION -

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