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A field method to estimate the uncertainty of RTK measurements
Department of Geographic Information and Asset Management, WSP, Stockholm, Sweden.ORCID iD: 0000-0003-1602-4771
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management, Surveying – Geodesy, Land Law and Real Estate Planning. (Geodesy)ORCID iD: 0000-0003-0382-9183
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management, Surveying – Geodesy, Land Law and Real Estate Planning. Department of Geographic Information and Asset Management, WSP, Stockholm, Sweden.ORCID iD: 0000-0003-4364-7034
Department of Geographical Information West, WSP, Gothenburg, Sweden.
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2024 (English)In: Survey review - Directorate of Overseas Surveys, ISSN 0039-6265, E-ISSN 1752-2706, Vol. 56, no 394, p. 100-107Article in journal (Refereed) Published
Abstract [en]

The expected accuracies obtainable with Network Real-Time Kinematic (NRTK) measurements are of interest to surveyors working on construction projects. This study introduces an NRTK-based free stationing method called RUFRIS (Real Time Updated Free Station) which is independent from physically marked points. Integration of total station distance and direction observations with NRTK measurements enables uncertainty estimation of both total station and surveyed NRTK points. In Sweden, NRTK is conducted using the national network of permanent reference stations with different densifications (10, 35, 70 km). This paper investigates the applicability of the RUFRIS-method to estimate the uncertainty of NRTK measurements in the field.

Place, publisher, year, edition, pages
Informa UK Limited , 2024. Vol. 56, no 394, p. 100-107
Keywords [en]
GNSS measurements, Network RTK, RUFRIS method, Total station survey, Uncertainty estimation
National Category
Other Civil Engineering
Research subject
Geodesy and Geoinformatics, Geodesy
Identifiers
URN: urn:nbn:se:kth:diva-331503DOI: 10.1080/00396265.2023.2229591ISI: 001022998400001Scopus ID: 2-s2.0-85164489318OAI: oai:DiVA.org:kth-331503DiVA, id: diva2:1781771
Funder
Swedish Transport Administration
Note

QC 20230804

Available from: 2023-07-11 Created: 2023-07-11 Last updated: 2025-02-25Bibliographically approved

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Alizadeh-Khameneh, AminHoremuz, MilanAndersson, Johan Vium

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  • apa
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