REGRESSION MODELLING OF THE ACCURACY OF GNSS REAL TIME KINEMATIC OBSERVATIONS REFERENCED TO SACREDION TERSUS GEOBEE30 CORS

Stephen Olushola Oladosu (), Chika Vincent Okorocha and Raphael Ehigiator-Irughe
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Stephen Olushola Oladosu: Department of Geomatics, Faculty of Environmental Sciences, University of Benin, P.M.B. 1154, Edo State.
Chika Vincent Okorocha: Department of Civil Engineering, Faculty of Engineering, University of Benin, P.M.B. 1154, Edo State.
Raphael Ehigiator-Irughe: Department of Geomatics, Faculty of Environmental Sciences, University of Benin, P.M.B. 1154, Edo State.

Pakistan Journal of Geology (PJG), 2023, vol. 7, issue 1, 11-20

Abstract: This research employs a regression model to verify the accuracy of the Sacredion Tersus GeoBee30 CORS in real-time kinematic mode. This verification process entails utilizing differential correction broadcasted through the internet protocol (NTRIP) to the GNSS rover. Given Nigeria’s current demand for additional CORS to enhance geospatial services, the primary objective of this study is to determine the strength of signal coverage, which is crucial for strategically locating appropriate or estimated location for the installation of new CORS. The methodology involves conducting an independent observation session at 5 minutes on 14 temporary points, away from the CORS base. The analysis, carried out using one-way ANOVA, establishes the fact that the RTK observations referenced to the CORS exhibit high precision. Furthermore, the development of a linear regression model yields a robust positive correlation, underscoring the dependable link between the investigated RMS error and the observed distances (RMSE = 0.988; R-square = 0.977; adjusted R-square = 0.976) within the distance range of 75 km target, extended to 120 km by prediction. The rms values of 0.0093 m were discovered in both cases while testing the efficacy of the prediction model on two known ground controls within the study area. In conclusion, this study unequivocally confirms the accuracy of the CORS, thereby endorsing its suitability for tasks involving mapping and geomatics activities, not only within the verified 70-km range but also beyond it. There exist a linear relationship between the distance coverage and the RMS error in relative positioning to the CORS at 95% confidence interval (α = 0.05 significant value). However, we do not have enough evidence to reject the null hypothesis outrightly.

Keywords: CORS; Distance; GNSS; NTRIP; Positioning; Regression (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnpjg:v:7:y:2023:i:1:p:11-20

DOI: 10.26480/pjg.01.2023.11.20

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