Evaluation and Analysis of the Accuracy of Open-Source Software and Online Services for PPP Processing in Static Mode

被引:8
|
作者
Vazquez-Ontiveros, Jesus Rene [1 ]
Padilla-Velazco, Jorge [1 ]
Gaxiola-Camacho, J. Ramon [2 ]
Vazquez-Becerra, Guadalupe Esteban [1 ]
机构
[1] Autonomous Univ Sinaloa, Dept Earth & Space Sci, Culiacan 80040, Mexico
[2] Autonomous Univ Sinaloa, Dept Civil Engn, Culiacan 80040, Mexico
关键词
static-mode PPP; open-sources; online PPP processing services; Root Mean Square Error; GNSS technology; POINT POSITIONING PPP; GPS; RESOLUTION; GLONASS;
D O I
10.3390/rs15082034
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
It has been proven that precise point positioning (PPP) is a well-established technique to obtain high-precision positioning in the order between centimeters and millimeters. In this context, different studies have been carried out to evaluate the performance of PPP in static mode as a possible alternative to the relative method. However, only a few studies have evaluated the performance of a large number of different open-source software programs and have focused extensively on online free PPP services. Therefore, in this paper, a comprehensive comparison of processing in static mode between different open-source software and the online free PPP services is developed. For the evaluation, different GNSS observation files collected at 45 International GNSS Service (IGS) stations distributed worldwide were processed in static PPP mode. Within this frame of reference, ten open-source PPP software and five online free PPP services were studied. The results from the processing strategy demonstrate that it is possible to obtain precision in the order of millimeters with both open-source software and online PPP services. In addition, online PPP services experienced better performance than some other specialized PPP software. In summary, the results show that the daily solutions for the E (East), N (North), and U (Up) components estimated by the ten open-source software and by the five online free PPP services can reach millimeter precision for some stations. Among the open-source software, the PRIDE-PPPAR presented the best performance with a Root Mean Square Error (RMSE) of 5.52, 5.40, and 6.79 mm in the E, N, and U components, respectively. Alternatively, in the case of the online free PPP services, the APPS and CSRS-PPP produced the most accurate results, with RMSE values less than 12 mm for the three components. Finally, the open-source software and online free PPP services experienced similar positioning performance in the horizontal and vertical components, demonstrating that both can be implemented in static mode without compromising the accuracy of the measurement.
引用
收藏
页数:20
相关论文
共 50 条
  • [1] The Analysis, Accuracy and Utilization of Open-Source Photogrammetric Software
    Bartos, Karol
    Pukanska, Katarina
    Sabova, Janka
    INZYNIERIA MINERALNA-JOURNAL OF THE POLISH MINERAL ENGINEERING SOCIETY, 2014, (01): : 299 - 306
  • [2] Open-source software technologies for data archiving and online geospatial processing
    Melero, K
    Hardy, M
    Lucas, M
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 651 - 653
  • [3] Evaluation of the positioning capabilities of different open-source single-frequency precise point positioning (SF-PPP) software in static mode
    Bezcioglu, Mert
    GEOMATIK, 2024, 9 (03): : 313 - 322
  • [4] PPP_Mansoura: an open-source software for multi-constellation GNSS processing
    Kandil, Islam A.
    Awad, Ahmed A.
    El-Mewafi, Mahmoud
    JOURNAL OF APPLIED GEODESY, 2024, 18 (02) : 285 - 293
  • [5] Structured analysis of the evaluation process for adopting open-source software
    Akatsu, Shinji
    Fujita, Yoshikatu
    Kato, Takumi
    Tsuda, Kazuhiko
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KES-2018), 2018, 126 : 1578 - 1586
  • [6] Improving the accuracy of stroke clinical coding with open-source software and natural language processing
    Bacchi, Stephen
    Gluck, Sam
    Koblar, Simon
    Jannes, Jim
    Kleinig, Timothy
    JOURNAL OF CLINICAL NEUROSCIENCE, 2021, 94 : 233 - 236
  • [7] The ImageJ ecosystem: Open-source software for image visualization, processing, and analysis
    Schroeder, Alexandra B.
    Dobson, Ellen T. A.
    Rueden, Curtis T.
    Tomancak, Pavel
    Jug, Florian
    Eliceiri, Kevin W.
    PROTEIN SCIENCE, 2021, 30 (01) : 234 - 249
  • [8] Open-source software for geospatial analysis
    Isamar M. Cortés
    Nature Reviews Earth & Environment, 2023, 4 : 143 - 143
  • [9] Open-source software for geospatial analysis
    Cortes, Isamar M.
    NATURE REVIEWS EARTH & ENVIRONMENT, 2023, 4 (03) : 143 - 143
  • [10] Open-source software to conduct online rating studies
    Gerrit Hirschfeld
    Heidrun Bien
    Meinou de Vries
    Heidi Lüttmann
    Johannes Schwall
    Behavior Research Methods, 2010, 42 : 542 - 546