EGU25-9510, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-9510
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Statistical Analysis of Trimble RTX Service Processing Results
Deniz Oz Demir
Deniz Oz Demir
  • Yildiz Technical University, Department of Geomatics Engineering, Istanbul, Türkiye (denizoz@yildiz.edu.tr)

This research involved an analysis aimed at determining the accuracy of results derived from the Trimble RTX web-based post-processing service for Multi-GNSS solutions. To achieve this, nine stations situated on the Eurasian plate were selected from the MGEX network set up by the IGS. A GNSS dataset from 2022 was processed using Trimble RTX. The data from these GNSS stations were analyzed as three satellite combinations: GPS-only, GPS-GLONASS, and GPS-GLONASS-Galileo.

Initially, a 3D transformation was applied to investigate statistically significant differences among the 24-hour processing results for the three combinations. Upon confirming that the differences in coordinates were statistically insignificant, the GNSS data was divided into two 12-hour datasets and three 8-hour datasets, which were then processed using Trimble RTX. The results from the 24-hour analysis were accepted as accurate for all three satellite combinations, and the differences between the 12-hour and 8-hour processing results were examined. The results indicated that, while the differences in coordinate components were insignificant, the use of all three satellite combination datasets contributed to both the Cartesian coordinate components and the standard deviation values.

How to cite: Oz Demir, D.: Statistical Analysis of Trimble RTX Service Processing Results, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-9510, https://doi.org/10.5194/egusphere-egu25-9510, 2025.