Towards Geodetic-Level Accuracy in Low-Cost GNSS: Tectonic Velocity Determination Capabilities of the U-Blox ZED-F9P Over a Year Multi-GNSS PPP-AR Time Series

dc.contributor.author Duman, H.
dc.contributor.author Ogutcu, S.
dc.contributor.author Alçay, S.
dc.contributor.author Ozdemir, B.N.
dc.contributor.author Atiz, O.F.
dc.contributor.author Bulbul, S.
dc.date.accessioned 2025-11-10T16:57:33Z
dc.date.available 2025-11-10T16:57:33Z
dc.date.issued 2025
dc.description.abstract The growing availability of low-cost dual-frequency GNSS receivers is enhancing their suitability for various kinds of geodetic applications. Geodetic monitoring of the continuous crustal deformation using GNSS time series analysis is one of the commonly used geodetic applications. To maintain the most accurate estimated parameters such as secular velocity, seasonal signal parameters and offsets, geodetic-grade GNSS receivers are commonly used in the GNSS time series analysis. However, due to the increasing availability of low-cost dual-frequency GNSS receivers and advancements in software and hardware, these receivers have now reached a level that supports the GNSS time series analysis. In this study, over a year of multi-GNSS PPP-AR time series of the u-blox ZED-F9P low-cost GNSS receiver are investigated by evaluating the accuracy of the estimated parameters, comparing them with data from a geodetic-grade GNSS receiver monumented on a building roof. The results show that the minimum detrended standard deviation obtained from White Noise (WN) estimation is achieved using GPS + GLONASS + Galileo PPP for both receivers. The computed annual velocity and amplitude differences obtained from the GNSS time series between the u-blox ZED-F9P and the geodetic-grade GNSS receivers using GPS + GLONASS + Galileo PPP-AR are found as 0.6 mm / 0.4 mm / 0.8 mm and 1.5 mm / 0.4 mm / 0.2 mm for north, east, and up components, respectively. © 2025 Elsevier B.V., All rights reserved. en_US
dc.identifier.doi 10.1016/j.asr.2025.10.025
dc.identifier.isbn 0080283969
dc.identifier.isbn 0080304273
dc.identifier.isbn 0080271618
dc.identifier.isbn 0080304222
dc.identifier.isbn 0080283802
dc.identifier.isbn 0080304281
dc.identifier.isbn 0080304311
dc.identifier.isbn 0080304443
dc.identifier.issn 1879-1948
dc.identifier.issn 0273-1177
dc.identifier.scopus 2-s2.0-105020423038
dc.identifier.uri https://doi.org/10.1016/j.asr.2025.10.025
dc.identifier.uri https://hdl.handle.net/20.500.13091/10988
dc.language.iso en en_US
dc.publisher Elsevier Ltd en_US
dc.relation.ispartof Advances in Space Research en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Low-Cost en_US
dc.subject Multi-GNSS en_US
dc.subject Time Series Analysis en_US
dc.title Towards Geodetic-Level Accuracy in Low-Cost GNSS: Tectonic Velocity Determination Capabilities of the U-Blox ZED-F9P Over a Year Multi-GNSS PPP-AR Time Series en_US
dc.type Article en_US
dspace.entity.type Publication
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gdc.author.scopusid 57196346482
gdc.bip.impulseclass C5
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gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department Konya Technical University en_US
gdc.description.departmenttemp [Duman] Huseyin, Department of Geomatics Engineering, Cumhuriyet Üniversitesi, Sivas, Turkey; [Ogutcu] Sermet, Department of Geomatics Engineering, Necmettin Erbakan Üniversitesi, Meram, Turkey; [Alçay] Salih, Department of Geomatics Engineering, Necmettin Erbakan Üniversitesi, Meram, Turkey; [Ozdemir] Behlul Numan, Department of Geomatics Engineering, Konya Technical University, Konya, Turkey; [Atiz] Omer Faruk, Department of Geomatics Engineering, Necmettin Erbakan Üniversitesi, Meram, Turkey; [Bulbul] Sercan, Department of Geomatics Engineering, Konya Technical University, Konya, Turkey en_US
gdc.description.endpage 1438
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 1423
gdc.description.volume 77
gdc.description.wosquality Q1
gdc.identifier.openalex W4415038395
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gdc.opencitations.count 0
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gdc.virtual.author Özdemir, Behlül Numan
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