Full metadata record
DC Field | Value | Language |
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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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