Quality control of the GNSS-IR sea level measurements by using K-means clustering

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dc.authoridBesel Hatipoglu, Cansu/0000-0003-3434-6483
dc.contributor.authorHatipoglu, Cansu Besel
dc.contributor.authorKayikci, Emine Tanir
dc.date.accessioned2025-03-23T19:35:28Z
dc.date.available2025-03-23T19:35:28Z
dc.date.issued2025
dc.departmentSinop Üniversitesi
dc.description.abstractQuality control is a crucial step in GNSS-IR data processing and is performed in this study using two methods: the peak-to-noise ratio and K-means clustering. Both quality control methods are applied to the SNR data at the MERS, TRBZ, and SNOP sites. K-means clustering shows better performance for the MERS GPS L1, Galileo L1, and SNOP GPS L2, while the peak-to-noise ratio shows better performance for the TRBZ GPS L1. The correlation coefficient between the GNSS-IR sea levels from the L1 signal and tide gauge is greater than 85%. These results demonstrate that K-means clustering is promising for quality control.
dc.identifier.doi10.1080/00396265.2025.2455374
dc.identifier.issn0039-6265
dc.identifier.issn1752-2706
dc.identifier.scopus2-s2.0-85216266068
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1080/00396265.2025.2455374
dc.identifier.urihttps://hdl.handle.net/11486/5878
dc.identifier.wosWOS:001406756700001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofSurvey Review
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250323
dc.subjectSea level
dc.subjectGlobal navigation satellite system interferometric reflectometry (GNSS-IR)
dc.subjectSignal-to-noise ratio (SNR)
dc.subjectQuality control
dc.subjectK-means clustering
dc.titleQuality control of the GNSS-IR sea level measurements by using K-means clustering
dc.typeArticle

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