Case Studies
Dec 30, 2023

Evaluating the Performance of the Static PPP-AR in a Forest Environment

Publication: Journal of Surveying Engineering
Volume 150, Issue 2

Abstract

Forest environment and topographic obstacles tend to reduce the positioning performance of precise point positioning (PPP) with ambiguity resolution (AR) and may even prevent radio signals from reaching the global navigation satellite systems (GNSS) antenna. In this study, we investigated the positioning performance of PPP-AR in a forest environment in terms of the crown closure ratios, session duration (1-, 2-, 3-, and 6-h), and different satellite constellations [i.e., the global positioning system (GPS)-only and GPS+GLONASS combined satellites]. For this purpose, three GNSS receivers were used to make measurements at three test points in areas with crown closure ratios of 0%, 38%, and 87%. The data were evaluated using the PRIDE PPP-AR software and Canadian Spatial Reference System-PPP (CSRS-PPP). The experiments revealed that the inclusion of the GLONASS observations in the GPS-only solutions did not obviously improve the positioning error and accuracy with closure ratios of 0% and 38%. However, the improvements became more dramatic when the closure ratio increased to 87%. Furthermore, in the horizontal components, an accuracy of 10 cm can be achieved with at least a 2-h session, whereas for the up component, this level of accuracy can only be achieved with a 3-h session. While the PRIDE PPP-AR was able to achieve a 3D positioning performance of 1 cm with the combined GPS+GLONASS satellites, this accuracy level remained at 8 cm in CSRS-PPP.

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Data Availability Statement

No data, models, or code were generated or used during the study.

Acknowledgments

We would like to express our gratitude to CSRS-PPP (https://webapp.csrs-scrs.nrcan-rncan.gc.ca/geod/tools-outils/ppp-info.php?locale=en), TUSAGA Active (https://www.tusaga-aktif.gov.tr/) and NASA Space Physics Data Facility (https://omniweb.gsfc.nasa.gov/) services. The static PPP-AR experiments were also conducted on the PPP PRIDE-AR (https://github.com/PrideLab/PRIDE-PPPAR). We express our appreciation to the Center for Orbit Determination in Europe (CODE) for providing all the necessary products. Additionally, we would like to acknowledge Topcon Paksoy Teknik Hizmetler in Türkiye for generously granting us unlimited use of the Magnet Tools, which greatly facilitated our research. Lastly, we would like to express our thanks to the editor and anonymous reviewers for their insightful comments, which significantly enhanced the quality of our manuscript.

References

Abou-Galala, M., M. Rabah, M. Kaloop, and Z. M. Zidan. 2018. “Assessment of the accuracy and convergence period of precise point positioning.” Alexandria Eng. J. 57 (3): 1721–1726. https://doi.org/10.1016/j.aej.2017.04.019.
Alkan, R. M., S. Erol, V. İlçi, and İ. M. Ozulu. 2020. “Comparative analysis of real-time kinematic and PPP techniques in dynamic environment.” Measurement 163 (Oct): 107995. https://doi.org/10.1016/j.measurement.2020.107995.
Banville, S., E. Hassen, P. Lamothe, J. Farinaccio, B. Donahue, Y. Mireault, M. A. Goudarzi, P. Collins, R. Ghoddousi-Fard, and O. Kamali. 2021. “Enabling ambiguity resolution in CSRS-PPP.” Navigation 68 (2): 433–451. https://doi.org/10.1002/navi.423.
Bulbul, S., B. Bilgen, and C. Inal. 2021. “The performance assessment of precise point positioning (PPP) under various observation conditions.” Measurement 171 (Feb): 108780. https://doi.org/10.1016/j.measurement.2020.108780.
Erol, S., R. M. Alkan, İ. M. Ozulu, and V. İlçi. 2020. “Performance analysis of real-time and post-mission kinematic precise point positioning in marine environments.” Geod. Geodyn. 11 (6): 401–410. https://doi.org/10.1016/j.geog.2020.09.002.
Geng, J., X. Chen, Y. Pan, S. Mao, C. Li, J. Zhou, and K. Zhang. 2019. “PRIDE PPP-AR: An open-source software for GPS PPP ambiguity resolution.” GPS Solutions 23 (Oct): 1–10. https://doi.org/10.1007/s10291-019-0888-1.
Geng, J., J. Guo, X. Meng, and K. Gao. 2020. “Speeding up PPP ambiguity resolution using triple-frequency GPS/BeiDou/Galileo/QZSS data.” J. Geod. 94 (Jan): 1–15. https://doi.org/10.1007/s00190-019-01330-1.
Guo, J., X. Li, Z. Li, L. Hu, G. Yang, C. Zhao, D. Fairbairn, D. Watson, and M. Ge. 2018. “Multi-GNSS precise point positioning for precision agriculture.” Precis. Agric. 19 (Oct): 895–911. https://doi.org/10.1007/s11119-018-9563-8.
Kaloop, M. R., C. O. Yigit, and J. H. Hu. 2018. “Analysis of the dynamic behavior of structures using the high-rate GNSS-PPP method combined with a wavelet-neural model: Numerical simulation and experimental tests.” Adv. Space Res. 61 (6): 1512–1524. https://doi.org/10.1016/j.asr.2018.01.005.
Katsigianni, G., S. Loyer, and F. Perosanz. 2019. “Ppp and ppp-ar kinematic post-processed performance of GPS-only, Galileo-only and multi-GNSS.” Remote Sens. 11 (21): 2477. https://doi.org/10.3390/rs11212477.
Kouba, J., and P. Héroux. 2001. “Precise point positioning using IGS orbit products.” GPS Solution 5 (Feb): 12–28. https://doi.org/10.1007/PL00012883.
Labib, B., J. Yan, J. P. Barriot, F. Zhang, and P. Feng. 2019. “Monitoring zenithal total delays over the three different climatic zones from IGS GPS final products: A comparison between the use of the VMF1 and GMF mapping functions.” Geod. Geodyn. 10 (2): 93–99. https://doi.org/10.1016/j.geog.2018.11.005.
Leick, A. 1994. GPS satellite surveying. New York: Wiley.
Li, P., X. Zhang, and F. Guo. 2017. “Ambiguity resolved precise point positioning with GPS and BeiDou.” J. Geod. 91 (Jan): 25–40. https://doi.org/10.1007/s00190-016-0935-4.
Li, X., M. Ge, X. Zhang, Y. Zhang, B. Guo, R. Wang, J. Klotz, and J. Wickert. 2013. “Real-time high-rate co-seismic displacement from ambiguity-fixed precise point positioning: Application to earthquake early warning.” Geophys. Res. Lett. 40 (Mar): 295–300. https://doi.org/10.1002/grl.50138.
Li, Y., X. Zou, W. Tang, C. Deng, J. Cui, and Y. Wang. 2020. “Regional modeling of tropospheric delay considering vertically and horizontally separation of station for regional augmented PPP.” Adv. Space Res. 66 (10): 2338–2348. https://doi.org/10.1016/j.asr.2020.08.003.
Næsset, E., and J. G. Gjevestad. 2008. “Performance of GPS precise point positioning under conifer forest canopies.” Photogramm. Eng. Remote Sens. 74 (5): 661–668. https://doi.org/10.14358/PERS.74.5.661.
Nie, W., A. Rovira-Garcia, M. Li, Z. Fang, Y. Wang, D. Zheng, and T. Xu. 2022. “The mechanism for GNSS-based kinematic positioning degradation at high-latitudes under the March 2015 great storm.” Space Weather 20 (6): e2022SW003132. https://doi.org/10.1029/2022SW003132.
Ocalan, T. 2016. “Accuracy assessment of GPS precise point positioning (PPP) technique using different web-based online services in a forest environment.” Šumar. List 140 (Aug): 357–367. https://doi.org/10.31298/sl.140.7-8.4.
Ocalan, T., B. Erdogan, N. Tunalioglu, and U. M. Durdag. 2016. “Accuracy investigation of PPP method versus relative positioning using different satellite ephemerides products near/under forest environment.” Earth Sci. Res. J. 20 (4): D1–D9. https://doi.org/10.15446/esrj.v20n4.59496.
Ogutcu, S. 2020. “Performance analysis of ambiguity resolution on PPP and relative positioning techniques: Consideration of satellite geometry.” Int. J. Eng. Geosci. 5 (2): 73–93. https://doi.org/10.26833/ijeg.580027.
Paziewski, J., M. Fortunato, A. Mazzoni, and R. Odolinski. 2021. “An analysis of multi-GNSS observations tracked by recent android smartphones and smartphone-only relative positioning results.” Measurement 175 (Apr): 109162. https://doi.org/10.1016/j.measurement.2021.109162.
Poniatowski, M., and G. Nykiel. 2020. “Degradation of kinematic PPP of GNSS stations in central Europe caused by medium-scale traveling ionospheric disturbances during the St. Patrick’s day 2015 geomagnetic storm.” Remote Sens. 12 (21): 3582. https://doi.org/10.3390/rs12213582.
Sokkia. 2023. “GCX3.” Accessed December 5, 2023. https://eu.sokkia.com/products/gnss-systems/rtk-systems/gcx3.
Tiryakioglu, I., C. O. Yigit, H. Yavasoglu, R. M. Alkan, and M. H. Saka. 2017. “The determination of interseismic, coseismic and postseismic deformations caused by the Gokceada-Samothraki earthquake (2014, Mw: 6.9) based on GNSS data.” J. Afr. Earth Sci. 133 (May): 86–94. https://doi.org/10.1016/j.jafrearsci.2017.05.012.
Tomaštík, J., J. Chudá, D. Tunák, F. Chudý, and M. Kardoš. 2021. “Advances in smartphone positioning in forests: Dual-frequency receivers and raw GNSS data.” Forestry 94 (2): 292–310. https://doi.org/10.1093/forestry/cpaa032.
Tomaštík, J., and M. Varga. 2021. “Practical applicability of processing static, short-observation-time raw GNSS measurements provided by a smartphone under tree vegetation.” Measurement 178 (Jun): 109397. https://doi.org/10.1016/j.measurement.2021.109397.
Topcon. 2023. “HiPer VR.” Accessed December 5, 2023. https://mytopcon.topconpositioning.com/support/products/hiper-v.
Yigit, C. O. 2016. “Experimental assessment of post-processed kinematic precise point positioning method for structural health monitoring.” Geomatics Nat. Hazards Risk 7 (May): 360–383. https://doi.org/10.1080/19475705.2014.917724.
Yigit, C. O., A. El-Mowafy, A. A. Dindar, M. Bezcioglu, and I. Tiryakioglu. 2021. “Investigating performance of high-rate GNSS-PPP and PPP-AR for structural health monitoring: Dynamic tests on shake table.” J. Surv. Eng. 147 (1): 05020011. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000343.
Yilmaz, V. 2017. “Estimating basic forest stand parameters from UAS images.” Ph.D. thesis, Institute of Natural Sciences, Karadeniz Technical Univ.
Zumberge, J. F., M. B. Heflin, D. C. Jefferson, M. M. Watkins, and F. H. Webb. 1997. “Precise point positioning for the efficient and robust analysis of GPS data from large networks.” J. Geophys. Res.: Solid Earth 102 (Mar): 5005–5017. https://doi.org/10.1029/96JB03860.

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Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 150Issue 2May 2024

History

Received: Sep 13, 2022
Accepted: Oct 13, 2023
Published online: Dec 30, 2023
Published in print: May 1, 2024
Discussion open until: May 30, 2024

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Associate Professor, Dept. of Architecture and Urban Planning, Technical Sciences Vocational School, Amasya Univ., Amasya 05100, Türkiye (corresponding author). ORCID: https://orcid.org/0000-0002-8276-587X. Email: [email protected]
Associate Professor, Dept. of Geomatics Engineering, Karadeniz Technical Univ., Trabzon 61080, Türkiye. ORCID: https://orcid.org/0000-0003-0685-8369. Email: [email protected]

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