Startseite A new challenge for cadastral surveying in Taiwan: feasibility analysis using combination on CORS data and online PPP service
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

A new challenge for cadastral surveying in Taiwan: feasibility analysis using combination on CORS data and online PPP service

  • Ming-Kuang Ho , Ta-Kang Yeh ORCID logo EMAIL logo , Tung-Shan Liao und Yi-Da Chung
Veröffentlicht/Copyright: 26. Juli 2024
Veröffentlichen auch Sie bei De Gruyter Brill

Abstract

Relative GNSS positioning, a longstanding measurement standard, often incurs high manpower and equipment costs. Online Precise Point Positioning (PPP) presents a cost-effective alternative by minimizing these expenses. However, transitioning from the ITRF2014 to the TWD97[2010] coordinate system presents unique challenges. This study evaluates the efficacy of five PPP services – AUSPOS, OPUS, CSRS-PPP, magicGNSS, and RTX-PP – using 2018 Continuously Operating Reference Stations (CORS) data. Following a seven-parameter transformation, we systematically compared these services to identify the optimal solution for Taiwan’s geodetic survey needs. Our analysis reveals that RTX-PP offers superior performance, achieving 1 cm accuracy over 24 h and 4 cm accuracy over 1 h. Most stations met these accuracy standards, even during short observation intervals from September 9, 2018. Nonetheless, there is a 24.1 % likelihood of exceeding the 6 cm accuracy threshold due to variations in GNSS data quality. To address this, we employed G-Nut software to analyze station data quality across regions, recommending station selection based on data ratio and cycle slips to improve PPP solution accuracy effectively.


Corresponding author: Ta-Kang Yeh, Department of Real Estate and Built Environment, National Taipei University, New Taipei 237, Taiwan, E-mail:

Award Identifier / Grant number: NSTC 112-2622-E-305-005

Funding source: Department of Land Administration, Ministry of the Interior, Taiwan

Award Identifier / Grant number: 110CCL028C

Acknowledgments

The authors are thankful to the reviewer for constructive comments and recommendations on an earlier version of the manuscript.

  1. Research ethics: Not applicable.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: This research was made possible by the generous support of the Department of Land Administration, Ministry of the Interior, Taiwan (Project Code: 110CCL028C), which provided both funding and observational data. The authors also would like to thank the National Science and Technology Council of the Republic of China, Taiwan, for financially supporting this research under Contract No. NSTC 112-2622-E-305-005.

  5. Data availability: The raw data can be obtained on request from the corresponding author.

References

1. Zumberge, J, Heflin, M, Jefferson, D, Watkins, M, Webb, FH. Precise point positioning for the efficient and robust analysis of GPS data from large networks. J Geophys Res Solid Earth 1997;102:5005–17. https://doi.org/10.1029/96jb03860.Suche in Google Scholar

2. Yurdakul, Ö. Performance investigation of GLONASS in the static PPP technique with independent short measurement times using online processing services. Surv Rev 2023;55:1–11. https://doi.org/10.1080/00396265.2023.2192850.Suche in Google Scholar

3. Bulbul, S, Bilgen, B, Inal, C. The performance assessment of Precise Point Positioning (PPP) under various observation conditions. Measurement 2021;171:108780. https://doi.org/10.1016/j.measurement.2020.108780.Suche in Google Scholar

4. Mohamed, A, Ashrsaf, F, Farrag, A. Assessment study of using online (CSRS-PPP) GPS-PPP service for mapping applications in Egypt. J Geod Sci 2011;1:233–9. https://doi.org/10.2478/v10156-011-0001-3.Suche in Google Scholar

5. Mou, Y, Luo, X, Xie, Z, Peng, X. Performance analysis of four PPP service software under different intensity geomagnetic storms. Adv Space Res 2023;72:1593–604. https://doi.org/10.1016/j.asr.2023.04.026.Suche in Google Scholar

6. Bilgen, B, Bulbul, S, Inal, C. Statistical comparison on accuracies of web-based online PPP services. J Survey Eng 2022;148:04022009. https://doi.org/10.1061/(asce)su.1943-5428.0000403.Suche in Google Scholar

7. Chiu, YH, Shih, PTY. National datum uncertainty due to reference frame transformation: case study for the geodetic datum of Taiwan. J Survey Eng 2014;140:05014002. https://doi.org/10.1061/(asce)su.1943-5428.0000135.Suche in Google Scholar

8. Yeh, TK, Chao, BF, Chen, CS, Chen, CH, Lee, ZY. Performance improvement of network based RTK GPS positioning in Taiwan. Surv Rev 2012;44:3–8. https://doi.org/10.1179/1752270611y.0000000006.Suche in Google Scholar

9. AUSPOS; 2023. http://www.ga.gov.au/bin/gps.pl [Accessed 14 Apr 2023].Suche in Google Scholar

10. CSRS-PPP; 2023. https://webapp.geod.nrcan.gc.ca/geod/tools-outils/ppp.php?locale=en [Accessed 15 Apr 2023].Suche in Google Scholar

11. MagicGNSS; 2023. https://magicGNSS.gmv.com [Accessed 06 May 2023].Suche in Google Scholar

12. OPUS; 2019. https://www.ngs.noaa.gov/OPUS/ [Accessed 23 May 2019].Suche in Google Scholar

13. Trimble RTX-PP; 2023. https://www.trimbleRTX-PP.com/UploadForm.aspx [Accessed 04 August 2023].Suche in Google Scholar

14. IGS Network; 2023. http://www.igs.org/network [Accessed 14 Feb 2023].Suche in Google Scholar

15. Hsiao, SH, Ching, KE, Chen, KH, Li, CK. Timing of coseismic displacement grid model construction for updating the semi kinematic reference frame: case study in Taiwan. J Geodesy 2021;95:25. https://doi.org/10.1007/s00190-021-01477-w.Suche in Google Scholar

16. International terrestrial reference frame; 2023. https://itrf.ign.fr/en/solutions/transformations [Accessed 07 Apr 2023].Suche in Google Scholar

17. Boucher, C, Altamimi, Z, Sillard, P, Feissel-Vernier, M. The ITRF2000. IERS technical note, 31. IERS ITRS Centre; 2004.Suche in Google Scholar

18. Yeh, TK, Shih, HC, Wang, CS, Lien, TY. Establishment of Taiwan’s standard operating procedure for network-based RTK in cadastral surveying. Surv Rev 2022;55:1–12. https://doi.org/10.1080/00396265.2022.2089823.Suche in Google Scholar

19. Franklin, KR, Huang, MH. Revealing crustal deformation and strain rate in Taiwan using InSAR and GNSS. Geophys Res Lett 2022;49. https://doi.org/10.1029/2022gl101306.Suche in Google Scholar

20. Gandolfi, S, Tavasci, L, Poluzzi, L. Improved PPP performance in regional networks. GPS Solut 2016;20:485–97. https://doi.org/10.1007/s10291-015-0459-z.Suche in Google Scholar

21. Barbarella, M, Gandolfi, S, Poluzzi, L, Tavasci, L. Precision of PPP as a function of the observing-session duration. IEEE Trans Aero Electron Syst 2018;54:2827–36. https://doi.org/10.1109/taes.2018.2831098.Suche in Google Scholar

Received: 2024-04-20
Accepted: 2024-06-24
Published Online: 2024-07-26
Published in Print: 2025-01-29

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 25.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/jag-2024-0036/html
Button zum nach oben scrollen