15 November 2007, 10:07am
(Heerbrugg, 15 November 2007) Leica Geosystems introduces Leica GNSS QC V2.0, the latest version of the GNSS quality control and data analysis software. The new version includes real time analysis of residual ionospheric and tropospheric/geometric error across an RTK network. Leica GNSS QC V2.0 also contains many improvements for reference station integrity monitoring, quality control of GNSS data and analysis of GNSS monitoring results.
Leica GNSS QC – innovative data analysis
The innovative Network Online Visualisation of Accuracy (NOVA) maps display the estimated level of residual error for both RTK rover users receiving network corrections and single reference station (nearest site) corrections. The NOVA maps allow network operators to get a measure of the benefit that network corrections bring to their users and allow them to identify potential ‘hot spots’. Network users can view the maps over the web to get assurance on the quality of the corrections provided by the network and to decide between using nearest site and network RTK corrections for the specific location of their survey.
Real time calculation of precision, accuracy and reliability of integrity monitoring sites (using fixed rovers or Leica GNSS Spider RT Positioning) can be used by network operators to measure and record the real world performance of the corrections from their reference station infrastructure. Messages can be used to warn the network operator if threshold limits are exceeded, helping them to quickly detect possible communication or configuration problems.
Support for global navigation files, Hatanaka and Z compression enable the automatic RINEX quality check to be used with a broader range of GNSS reference networks. Improved integration with Leica SpiderWeb makes quality control of reference networks easier than ever. Updated web page output makes for simpler and clearer communication of quality control and monitoring results.
An improved work flow makes real time and offline analysis of GNSS monitoring data simpler for the user. Additional graphical and web outputs and the use of transparency further enhance the analysis capabilities.

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