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


Beşel Hatipoğlu C., Tanır Kayıkçı E.

SURVEY REVIEW, vol.1, no. , pp.1-14, 2025 (SCI-Expanded)

  • Publication Type: Article / Article
  • Volume: 1 Issue:
  • Publication Date: 2025
  • Journal Name: SURVEY REVIEW
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Environment Index, Geobase, INSPEC
  • Page Numbers: pp.1-14
  • Karadeniz Technical University Affiliated: Yes

Abstract

Quality control is a crucial step in GNSS-IR data processing and is performed in this study usingtwo methods: the peak-to-noise ratio and K-means clustering. Both quality control methods areapplied to the SNR data at the MERS, TRBZ, and SNOP sites. K-means clustering shows betterperformance for the MERS GPS L1, Galileo L1, and SNOP GPS L2, while the peak-to-noise ratioshows 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 demonstratethat K-means clustering is promising for quality control.