Estimating the vertical offsets of a crowd-sourced bathymetry system using Kalman Filter solution

dc.contributor.advisorChurch, Ian
dc.contributor.authorIbekwute, Samuel Izuchukwu
dc.date.accessioned2025-04-22T17:47:33Z
dc.date.available2025-04-22T17:47:33Z
dc.date.issued2025-03
dc.description.abstractCrowd-sourced Bathymetry (CSB), recognized for its potential in mapping uncharted waters, is faced with credibility and useability concerns, which makes Hydrographic Offices (HOs) hesitant to consider them for use in official nautical charts. This research implemented a Kalman Filter (KF) algorithm to estimate the vertical offsets between theGNSS receiver and the sonar and the GNSS receiver and the waterline, two quantities which are often not measured in a CSB system. The algorithm uses Ellipsoid Reference Survey (ERS) principles, estimated uncertainties, and hydrodynamic models for tidal adjustments. The solution was tested with six datasets collected from the Gulf of St. Lawrence where the difference between the previously estimated GNSS to sonar offset and the KF solution results ranged between -1.286m and 1.168m. The results showed the technique's ability to significantly improve CSB data quality by resolving these offsets, paving the way for wider adoption in official charts.
dc.description.copyright© Samuel Izuchukwu Ibekwute, 2025.
dc.format.extentxiv, 114
dc.format.mediumelectronic
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/38284
dc.language.isoen
dc.publisherUniversity of New Brunswick
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineGeodesy and Geomatics
dc.titleEstimating the vertical offsets of a crowd-sourced bathymetry system using Kalman Filter solution
dc.typemaster thesis
oaire.license.conditionother
thesis.degree.disciplineGeodesy and Geomatics
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.Sc.E.

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