Impact Factor: 0.9

Zeitschrift

Journal of Applied Geodesy

Editors-in-Chief: und

Sprache: Englisch

Erstveröffentlichung: 22. März 2007

Erscheinungsweise: 4 Hefte pro Jahr

Neuestes Heft anzeigen

Veröffentlicht von

Veröffentlichen auch Sie bei De Gruyter Brill

Manuskript einreichen Informationen für Autor*innen

Über diese Zeitschrift

Objective
The Journal of Applied Geodesy (JAG) is a forum for peer-reviewed research articles in the area of application of geodesy to engineering and other natural sciences. It publishes innovative contributions on sensor developments, multi-sensor systems and sensor data fusion focusing on the capture of georeferenced data. Hence topics related to navigation and mobile mapping will also be covered by JAG. The scope includes optical and microwave 3-D measurement techniques and other sensors for geotechnical measurements. Furthermore, applied geodesy articles from all areas of satellite-based geodetic networks, deformation measurements, deformation analysis, modelling of local geodynamic processes and the development of intelligent alert systems, measurement techniques for large construction sites and mechanical engineering will be presented. With increased use of the tools of Artificial Intelligence for sensor control, sensor fusion and data analysis, manuscripts on these topics with a strong emphasis on applied geodesy will also be published.

Topics

Navigation and mobile mapping
Optical and microwave 3-D measurement techniques
Satellite-based geodetic networks
Deformation measurements
Deformation analysis
Modelling of local geodynamic processes
Intelligent alert systems
Measurement techniques for large construction sites
Mechanical engineering
Sensor control
Sensor fusion

Article formats
Research articles

> Information on submission process

Ihre Vorteile

Your benefits:

Novel fields of application of geodesy to engineering and other natural sciences
Rapid developments that have influenced both sensors / instrumentation and methodology
Cutting-edge surveying and mapping techniques, processing algorithms and analytical tools
Rigorous peer-review

Complete Archive Access

As of 2026, all De Gruyter journal subscriptions include access to every issue, from Volume 1, Issue 1 through to today, meaning subscribers can access even more research at no additional cost.

Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Analyzing precipitable water vapor with GNSS radio occultation wet profiles, radiosonde observations and ECMWF ERA5 reanalysis data over the Türkiye region

11. Mai 2026

Seldanur Çelik Tunçer, Emine Tanır Kayıkçı

PDF downloaden

The Global Navigation Satellite System (GNSS)-Radio Occultation (RO) is a satellite-based technique providing significant advantages for improving weather forecasts and investigating climatic variations. In this study, precipitable water vapor (PWV) derived from FORMOSAT-7/COSMIC-2 GNSS-RO wet profiles was compared with that calculated from radiosonde (RS) observations and the fifth-generation global reanalysis dataset (ERA5). For this purpose, RS stations situated in Samsun, Istanbul, Izmir, and Adana over Türkiye were selected as reference locations. Two horizontal collocation distances, 300 km and 150 km, were applied to examine the sensitivity of the results to spatial matching. The performance of COSMIC-2 RO PWV was evaluated using root mean square error (RMSE), linear regression, Pearson correlation, and the R-squared coefficient ( R 2 ). For both collocation distances, RMSE values are about 3 mm for RO-RS and about 2 mm for RO-ERA5, and correlation coefficients are generally above 0.8. Regression slopes are lower for RO-RS, ranging between 0.6 and 0.8, and closer to unity for RO-ERA5, ranging between 0.8 and 1.0. Reducing the collocation distance leads to a small increase in correlation. However, it does not result in a consistent improvement in RMSE, indicating the influence of vertical sampling characteristics. Overall, GNSS-RO shows reasonable consistency with RS observations. When used in combination with reanalysis products, it can provide reliable atmospheric moisture estimates over Türkiye.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Characterizing a newly developed heterogeneous and continuously observing low-cost GNSS station network

4. Mai 2026

Ibaad Anwar, Balaji Devaraju

PDF downloaden

Low-cost GNSS networks are transforming geospatial monitoring by providing dense, real-time, and affordable positioning infrastructure. They have the potential to reveal new geophysical insights that were hitherto prohibitive due to GNSS infrastructure costs. Given this rapid rise and the immense potential of low-cost networks, it is imperative to assess their quality. In this study, a framework is put together to find out the quality of a new low-cost GNSS network, and thereafter, to monitor it continuously. Metrics are identified with the aid of the International GNSS Service (IGS) guidelines to check the quality of four different aspects of a station in the network: (i) station (satellite visibility, DOP, multipath), (ii) signal reception (carrier-to-noise ratio, cycle slips), (iii) network (double-difference residuals, post-fit normalized root mean square (NRMS), and (iv) atmospheric sensing (Zenith Tropospheric Delay). We demonstrate this framework by characterizing the heterogeneous and continuously operating low-cost GNSS network in India, LCG-IITK. The stations show comparable performance to nearby IGS stations in terms of DOP and positioning accuracy, while multipath exhibits similar trends with site-dependent variations. Phase observations show comparable performance, reflected in acceptable one-way double-difference RMS values and NRMS values approaching 0.2 across configurations. ZTD estimates exhibit minimal error, with high correlation ( R = 0.98) and low RMS of difference (8.84 mm) relative to IGS station, highlighting the suitability of low-cost GNSS stations for atmospheric sensing. The proposed framework is provided as an open-source Python package, c-GNSS, which provides automated daily and weekly health reports for continuous GNSS network monitoring.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Procedure for refinement of the height component in Real-Time Kinematic GNSS

1. Mai 2026

Jakub Kostelecky

PDF downloaden

The Real-Time Kinematic (RTK) method of Global Navigation Satellite Systems (GNSS) technology allows the position of points to be determined with centimeter accuracy. The vertical component of the position is determined less accurately than the horizontal component. Two cases were analyzed to ensure higher accuracy of the vertical component on a set of test measurements obtained using 11 GNSS receivers under different observation conditions, at different times of day, with different vector lengths, and different averaging lengths. In the first case, it was found that if the maximum elevation angle – the elevation angle of the satellite closest to the zenith – is greater than 70°, better accuracy of the vertical component is achieved for most of the tested GNSS receivers. In the second case, it was found that averaging measurements at three specified times of day – 6 a.m., 3 p.m., and 9 p.m. – ensures greater accuracy of the vertical component, whose unit mean error is 21 % lower than the unit mean error of a single height measurement. The accuracy of the final average of three measurements is 54 % higher than the accuracy of a single measurement.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

A low-cost, IoT-enabled GNSS-based ionospheric monitoring system with real-time data access

30. April 2026

Supraja R. Ammana, Hima V. Vankayala, Sony Devalapally, Venkata R. Devanaboyina

PDF downloaden

Ionospheric irregularities affect the propagation of Global Navigation Satellite System (GNSS) signals, often leading to positioning errors, signal degradation, and occasional loss of lock. Although research-grade ionospheric monitoring stations provide highly accurate measurements, their cost and fixed infrastructure limit large-scale deployment and real-time accessibility. To address this gap, this paper presents the development and field validation of IonoAPI, a low-cost, Internet of Things (IoT)-enabled GNSS-based ionospheric monitoring platform designed for continuous and autonomous operation. The system integrates a dual-frequency u-blox ZED-F9P receiver with a Raspberry Pi-based processing unit. Raw GNSS observables recorded at 1 Hz are processed through a structured Python pipeline to estimate satellite geometry (elevation and azimuth), Dilution of Precision (DOP), total amplitude scintillation index ( S 4 ) derived from C / N 0 measurements, and uncalibrated relative slant Total Electron Content (STEC) using dual-frequency pseudorange combinations. To enhance data reliability, post-processing includes missing-data filtering, a 15° elevation mask, and statistical outlier detection prior to cloud transmission. Processed results are automatically uploaded to an Amazon Web Services Relational Database Service (AWS RDS) database via Node-RED and visualized through Grafana dashboards, while a Flask-based REST API enables structured programmatic access. The system operates in a near–real-time batch mode with an overall end-to-end latency of approximately 3–5 min. Validation was conducted through simultaneous observations with a co-located Septentrio PolaRx5 receiver. The platform was validated through simultaneous observations with a co-located Septentrio PolaRx5 receiver. Quantitative evaluation was performed using correlation coefficient ( r ), root mean square error (RMSE), mean absolute error (MAE), bias, normalized RMSE (NRMSE), and mean absolute percentage error (MAPE). Satellite geometry parameters showed near-unity correlation with minimal error, while the total S 4 values showed moderate agreement under the nominal daytime ionospheric conditions considered in this study. The uncalibrated relative STEC estimates followed the same temporal pattern, although a nearly constant offset was present due to the absence of Differential Code Bias (DCB) correction. After removal of the mean bias, differential STEC variations remained bounded without long-term drift, indicating reliable tracking of ionospheric variability. These results demonstrate that, although absolute calibration is not performed, the low-cost IonoAPI architecture reliably captures relative ionospheric dynamics and satellite geometry behavior. The integrated cloud-based framework supports scalable, distributed, and cost-effective ionospheric monitoring for research and space-weather applications.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Ecuadorian Vertical Control Network adjustment

30. April 2026

José L. Carrión Sánchez, Fredy Flores Estrella, Freddy Rodríguez Cevallos, Miguel Pozo Flores

PDF downloaden

Ecuador’s Vertical Control Network has been established through gravimetric and spirit leveling surveys conducted by the Military Geographic Institute since the 1960s. Continuous maintenance and updates have ensured the network’s consistency. Height determination in Ecuador is based on the propagation of elevation differences from the La Libertad tide gauge, which is currently regarded as the Local Vertical Datum, with plans to adopt a new datum linked to the International Height Reference Frame. Adjustments or compensations to network segments have been made based on leveled height differences and geopotential numbers; however, in all cases, they have not considered the entire leveling loops. This study outlines the procedure and results for compensating the Ecuadorian Vertical Control Network based on leveled height differences and geopotential numbers. The least-squares adjustment results yield adjusted leveled, orthometric, and normal heights with an average adjustment precision of about 4 cm, applicable to both the network adjustment and the internal or line adjustment.
Open Access
Applicability of low-cost GNSS receivers for detecting dynamic displacements: a shake table experiment case study

30. April 2026

Hubert Szczepanik, Jacek Paziewski, Rafal Sieradzki, Jakub Koscielski

PDF downloaden

The high cost of geodetic-grade GNSS receivers limits the development of dense early warning systems for earthquakes. While high-rate GNSS observations enable direct displacement measurements without cumulative integration errors, the deployment of dense GNSS networks remains economically challenging and thus low-cost receivers have gained attention for such monitoring. In this study, we assess the performance of the low-cost Septentrio Mosaic-X5 GNSS module for dynamic displacement detection under a controlled field experiment. The results were compared with those obtained from a geodetic-grade Trimble Alloy receiver. Harmonic oscillations with frequencies ranging from 0.5 to 4 Hz and amplitudes from 20 to 2.5 mm were generated using a Quanser I-40 shake table. Both receivers were connected to a common antenna, and the recorded data were processed using the Variometric Approach for Displacements Analysis Stand-Alone Engine (VADASE) algorithm. While both devices reproduced sinusoidal motions and correctly identified frequencies, we observed a consistent amplitude overestimation. The highest deviation occurred at the 2 Hz frequency and 10 mm amplitude motion. In this scenario, the Trimble and Septentrio receivers output 17.0 mm and 11.6 mm amplitudes, respectively. Despite the amplitude offsets, the system reliably detected the minimum 2.5 mm excitation at 4 Hz, demonstrating its utility for precise monitoring. Moreover, the analysis showed that the low-cost sensor has a lower noise level in the high-frequency domain than the reference device. These findings indicate that low-cost GNSS receivers combined with the VADASE algorithm are sufficient for detecting microseismic events, enabling the mass deployment of low-cost monitoring networks.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Present assessments of relative and absolute sea level rises at Alexandria, Egypt, and their predictions for 2050

29. April 2026

Essam M. Al-Krargy, Gomaa M. Dawod

PDF downloaden

The increase in sea level rise (SLR) during the 20th century is now a fact. Additionally, the lowlands in the Nile Delta region face challenges from vertical land movements, particularly land subsidence. The current research aims to monitor, analyze, and project both SLR and land subsidence at Alexandria city and forecast their hazards by 2050. To fulfill such objectives, heterogeneous geodetic datasets have been collected. The first one includes hourly tide data from 2008 to 2021. The second dataset consists of several annual observation files for a Global Navigation Satellite Systems (GNSS) station spanning the years 2012–2023. The obtained findings indicate that the present relative sea level rise at Alexandria equals 2.9 mm per year, which agrees with the current global average SLR estimate of 3.2 mm per year. Consequently, the anticipated mean sea level (MSL) for Egypt’s vertical national geodetic datum by the year 2050 is projected to be 0.374 m above the traditional datum. Furthermore, the analysis of GNSS data indicates that the current land subsidence rate at Alexandria is −1.5 mm per year. Factoring both the relative SLR and land subsidence, the absolute SLR at Alexandria by 2050 is estimated to be 0.414 m. The achieved results have been compared to those of the National Aeronautics and Space Administration (NASA) projection tool. Generally, the attained results agree with global estimates. It is recommended to get these findings into account for future engineering projects, coastal protection measures, and environmental initiatives in the city of Alexandria.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Long and short-term ionospheric TEC variability over Sri Lanka from Global Ionospheric Maps during 2018–2023

28. April 2026

Srinagaruban Venujan, Jenan Rajavarathan, Jayakody Arachichilage Swarnalatha Jayakody, Siva Sai Kumar Rajana, Sampad Kumar Panda

PDF downloaden

This study analyses the long and short-term variations of ionospheric Total Electron Content (TEC) over Sri Lanka using the routinely published Global Ionospheric Maps (GIMs) from International GNSS Service (IGS) during 2018–2023 that encompasses the transition period from the late declining phase of solar cycle 24 to the early ascending phase of solar cycle 25. The geographic location of Sri Lanka lies in the equatorial region across the Indian longitude sector, influenced by the equatorial ionospheric processes such as Fountain effects, Equatorial Ionization Anomaly (EIA) and Pre-Reversal Enhancement (PRE), etc., underlining it as a strategic location for understanding the critical effects of equatorial electrodynamics and space weather on trans-ionospheric radio signals. We validated GIM TEC with ground-based GPS-TEC at three distinct latitudinal locations in Sri Lanka from October 2017 to September 2018 that exhibited a strong positive correlation ( R ∼0.7) and consistent agreement in diurnal, seasonal, and latitudinal TEC variations. The findings from this study reaffirm the applicability of GIM in the Sri Lankan region, based on which the long-term investigation of GIM TEC variations is conducted to understand the diurnal, seasonal, and latitudinal variability, as well as the effects during the geomagnetic storms. These results showed the recurring pattern in diurnal and seasonal TEC variations, with the significant role of fountain effects at the magnetic equator. The maximum TEC values increased from approximately 50 TECU in 2018 to about 140 TECU in 2023, which shows the progressive solar activity influences on the equatorial ionosphere. Additionally, GIM TEC analysis during two distinct geomagnetic storm events over the period shows significant TEC fluctuations, highlighting its capability to monitor storm-time ionospheric disturbances over the region. This work reinforces the knowledge of ionospheric dynamics in the equatorial region over Sri Lanka, which has been sparsely explored in the literature but could add significance to the understanding and modelling of equatorial and low latitude ionosphere in the Indian longitude sector.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

GPS-TEC variations analysis around the time and location of volcanoes eruption to detect volcano-ionospheric anomalies

7. April 2026

Mehdi Akhoondzadeh

PDF downloaden

Knowing when a volcanic eruption occurs can be effective in reducing possible damages and life losses for residents close to the event. In this study, using GPS-TEC (Global Positioning System-Total Electron Content) satellite data, potentially volcanic ionospheric anomalies are investigated in a period of about two months around the time and location of the eruption of some volcanoes including Sundhnúkur (Iceland), Kilauea (USA), Mount Etna (Italy) and Laki Laki (Indonesia). In order to reduce the uncertainty in the detection of volcano-ionospheric anomalies, five classical and intelligent anomaly detection methods including median-interquartile, Kalman filter, ANN (Artificial Neural Network), LSTM (Long Short-Term Memory) and ACO (Ant Colony Optimization) were implemented in case of Iceland volcano. All five methods detected anomalies in the time interval of 9 days before the eruption of Iceland volcano. Also, the changes and spatial extent of TEC anomalies were also investigated on abnormal days, and a number of anomalies were observed in the studied volcanoes location. The observation of TEC anomalies in the magnetically conjugate region of the volcano was also discussed. Therefore, the results of this research show investigation of the temporal and spatial range of active volcanoes with GPS-TEC data using multi-predictor analysis can be effectively useful in detecting volcano-ionospheric anomalies.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Analysis of plasma bubble phenomena and their geomagnetic dependencies using GNSS-TEC with 3D tomography investigation

2. März 2026

Nilam Komalasari, Mokhamad Nur Cahyadi, Buldan Muslim, Ihsan Naufal Muafiry, Dwi Sri Lestari, Siti Asmayanti Tuasamu, Nurrohmat Widjajanti, Evi Aprianti, Deni Kusumawardani, Candida Aulia De Silva Nusantara, Yessi Rahmawati, Iqbal Hanun Azizi

PDF downloaden

This study investigates the phenomenon of plasma bubbles in the ionosphere using GNSS Total Electron Content (TEC) data and 3D tomography to analyze the spatial and temporal distribution of electron density anomalies. This research covers five global regions: Japan, Australia, Europe, Brazil, and Tonga, using GNSS observation data with approximately 1,214 data in Japan, 264 in Australia, 263 in Europe, and 159 in Brazil. The data spans different collection periods, with observations made on March 1, 2013 (DOY 060) for Japan and Australia, June 22–23, 2015 (DOY 173–174) for Europe, January 3, 2014 (DOY 003) for Brazil, and January 15, 2022 (DOY 015) for Tonga. The study highlights a strong negative correlation between geomagnetic disturbances, indicated by the Dst Index, and the maximum height of TEC anomalies caused by plasma bubbles. A linear regression analysis yielded a high correlation coefficient of 0.9949, suggesting that stronger geomagnetic storms (more negative Dst Index) result in plasma bubbles forming at higher altitudes. Additionally, the Kp Index shows a moderate positive correlation with TEC anomaly height, indicating that higher geomagnetic activity (larger Kp Index) is also associated with higher plasma bubble altitudes. The analysis reveals that plasma bubbles typically form at altitudes between 200 km and 600 km, with the maximum height of anomalies reaching an average of around 500 km. This research enhances our understanding of ionospheric disturbances and their impact Fseveon satellite navigation and communication systems, providing valuable insights into space weather dynamics.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

A storm-time statistical enhancement of NRLMSIS 2.1 thermospheric density during the May 2024 extreme geomagnetic storm

19. Februar 2026

Peicheng Li, Bingbing Zhang, Yi Shen

PDF downloaden

Thermospheric mass density is a key parameter for low Earth orbit (LEO) satellite drag modeling and space situational awareness, yet extreme geomagnetic storms can trigger rapid and large density enhancements that challenge empirical model accuracy and operational orbit prediction. This study examines the May 2024 extreme geomagnetic storm (Dst min = −406 nT) and assesses the storm-time performance of the NRLMSIS 2.1 model using thermospheric densities derived from Swarm-C accelerometer observations. We first diagnose the limitations of NRLMSIS 2.1 during this event and show that its storm-time bias exhibits a strong statistical dependence on the solar activity index F10.7 based on logarithmic residuals. To address this deficiency without changing the internal model structure, we develop an event-level statistical enhancement scheme that applies an F10.7-dependent proportional correction to the NRLMSIS 2.1 density output under high solar activity conditions. The storm is divided into initial, main, and recovery phases to evaluate phase-dependent performance, and three additional severe geomagnetic storms are further analyzed to test robustness. The proposed enhancement substantially improves storm-time density modeling, reducing root mean square error and mean absolute error by approximately 30–70 %, with the most pronounced enhancements observed during the initial phase. The method is computationally efficient, physically interpretable, and suitable for rapid thermospheric density correction during extreme space weather events and operational satellite drag applications.
Open Access
ARCMH25: a hybrid seismic–isostatic approach for Moho structure and density contrast estimation in the Arctic

18. Februar 2026

Majid Abrehdary, Lars E. Sjöberg

PDF downloaden

This study introduces ARCMH25, a high-resolution hybrid Moho model that combines gravimetric and seismic data to estimate two key constituents of the Mohorovičić discontinuity (Moho): Moho Depth (MD), Moho Density Contrast (MDC), along with their associated uncertainties. The model provides 1° × 1° resolution across the Arctic region, including both the Arctic Plate and adjacent oceanic zones, covering latitudes from 60°N to 90°N and longitudes from 180°W to 180°E. ARCMH25 employs a weighted least-squares inversion that integrates multiple observational constraints, including Vening Meinesz–Moritz (VMM) isostatic estimates such as the gravimetric MD-MDC product, gravimetric-seismic MDC, and seismic MDs from the Earth Crustal Model 1 (ECM1). This integrated approach enables simultaneous estimation of MD and MDC, while also providing spatially variable uncertainty fields. Model results show significant lateral variation in MD, ranging from 10 to 20 km beneath the central Arctic Ocean to 50–60 km under continental interiors and Greenland. Similarly, MDC values vary from 100 to 200 kg/m 3 in the oceanic regions to 500–600 kg/m 3 over continents and Greenland. The model also quantifies uncertainty, with MD errors below 2 km in oceanic areas and up to 6 km on land, while MDC uncertainties remain under 50 kg/m 3 offshore and increase to approximately 90 kg/m 3 in continental regions. Comparisons with existing models demonstrate ARCMH25’s enhanced sensitivity and resolution, especially in tectonically transitional zones. The model effectively captures lithospheric variability across ocean basins, continental shields, and rifted margins, providing new insights into Arctic geodynamics. Moreover, the ARCMH25 framework is adaptable and can be applied to other seismically under-sampled regions for crustal and tectonic studies.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Construction of models of temperature dependent variations in the position of IGS/NGS stations located on buildings and other structures. Case Washington, USA

16. Februar 2026

Nikolay A. Bovshin

PDF downloaden

In this work, a study of a compact group of five continuously operating GNSS stations was carried out. It based on the previously obtained results of studies of the effect of thermal compression-expansion of buildings as foundations of geodetic stations, conditions for the manifestation of this effect in variations of geodetic stations positions and properties of these variations. The study examined seasonal variations in relative positions of stations in this network. Relative GPS positioning on very short baselines that has very high sensitivity was used for the study. Based on the analysis of the properties of the time series obtained for all possible baselines in this network, it is shown that the seasonal variations observed in these time series reflect the influence of changes in ambient temperature. From point of view of the problem being solved, this group of stations has an important property: all stations are installed on the roofs of buildings, with almost all station located near the edges of the roofs, and only one station located near the middle of the roof. Using this property, models of variations of these stations positions under influence of this effect were constructed without the use of external reference stations. The constructed high-precision models are suitable for practical use – predicting actual positions of these stations in arbitrary observation epochs. The possibilities of “thermal tie” – the dissemination of thermal dependence parameters from known stations to new ones – are considered.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Multi-frequency GNSS incomplete observation repair method for combined positioning based on epoch-differenced observation constraints

16. Februar 2026

Jiangtao Xu, Yajuan Guo, Zhimin Gu, Daohua Zhu

PDF downloaden

Multi-frequency Global Navigation Satellite System (GNSS) positioning offers significant advantages in positioning accuracy, convergence speed, and carrier-phase ambiguity resolution. However, in real-world operating environments, partial signal outages across frequencies frequently occur, resulting in incomplete multi-frequency observations. Such observation deficiencies weaken the functional and stochastic models and consequently degrade positioning performance. To address this issue, this paper proposes a multi-frequency GNSS incomplete observation repair method based on epoch-differenced observation constraints. A single-satellite, epoch-differenced observation model is constructed and constrained by a rigorous variance-covariance formulation, enabling the recovery of missing measurements while preserving a consistent and reliable precision characterization. To ensure carrier-phase continuity, a robust cycle-slip detection scheme is integrated into the recovery process. The recovered observations are subsequently incorporated into extra-wide-lane combination models to enhance single-epoch positioning capability. Experimental validation using 24-h BDS-3 and Galileo datasets demonstrates that the proposed method achieves a precision of 1–2 mm at a 1 s sampling interval under both ionosphere-ignored and ionosphere-estimated strategies. When the sampling interval is increased to 30 s, neglecting ionospheric variation introduces residuals of approximately 3–5 mm, whereas explicit ionospheric estimation maintains millimeter-level accuracy. In a 197.2 km baseline experiment, excluding one to three frequencies per satellite degrades extra-wide-lane positioning accuracy from 0.137/0.144/0.369 m (N/E/U) to 0.172/0.191/0.606 m. After applying the proposed recovery method, the positioning performance is restored to a level highly consistent with that obtained using complete observations, with deviations limited to 0.007 %, 0.0002 %, and 0.049 % of the original solution in the north, east, and up components, respectively. These results confirm that the proposed method effectively preserves ambiguity fixability and positioning accuracy under incomplete-frequency conditions, providing practical and reliable support for high-precision GNSS applications in challenging environments.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

An uncertainty expression method for network RTK ionospheric modelling based on user crowdsourcing

9. Februar 2026

Yajuan Guo, Jiangtao Xu, Chengling Jiang, Hao Liu, Zeyu Zhang

PDF downloaden

In GNSS Network Real-Time Kinematic (NRTK) positioning, the accuracy of ionospheric delay modeling directly determines positioning performance. During periods of high ionospheric activity, spatial gradients vary rapidly, challenging the planar modeling assumptions of conventional NRTK. To address this issue, this study proposes a crowdsourcing-based method for expressing ionospheric modeling uncertainty. The method introduces user feedback data to supplement the reference station network, forming an overdetermined model even in triangular network units and enabling statistically meaningful estimation of modeling residuals. A weighted interpolation algorithm that considers both angular and distance correlations is then applied to generate a continuous uncertainty field across the service area. Experimental results using Australian CORS data during active ionospheric periods show that the proposed method achieves a high correlation between the Ionospheric Residual Interpolation Uncertainty (IRIU) index and true modeling errors. When incorporated into the ionosphere-weighted RTK model, the adjusted IRIU improves ambiguity resolution success rates to over 95 % and enhances overall positioning accuracy by more than 50 %, demonstrating its effectiveness and robustness under challenging ionospheric conditions.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

A local 3-D ionospheric model based on COSMIC-2 radio occultation GNSS data and deep neural networks

19. Januar 2026

Ismail Zaher, Zaki Zeidan, Mostafa Rabah, Mahmoud El-Mewafi

PDF downloaden

The growing availability of ground and space-based Global Navigation Satellite System (GNSS) observations has significantly enhanced our ability to monitor ionospheric variability with improved spatial and temporal resolution. The FORMOSAT-7/COSMIC-2 (F7/C2) mission provides a comprehensive database of high vertical resolution radio occultation (RO) profiles, enabling detailed long-term ionospheric studies. This work presents a three-dimensional ionospheric electron density model over Egypt, developed using Deep Neural Networks (DNN) trained on F7/C2 RO data from 2020 to 2024, designated as 3D-DNN Ion-EG. The optimized DNN architecture captures complex nonlinear relationships between electron density and nine geophysical and temporal inputs: latitude, longitude, altitude, universal time, day of year, year, solar flux (F10.7), and geomagnetic indices (ap and Dst). The 3D-DNN Ion-EG model demonstrates high predictive accuracy for ionospheric electron density, achieving an R 2 of 0.93 and RMSE of 121,000 el/cm 3 during independent testing on 36,856 F7/C2 observations. Comprehensive validation shows that the model outperforms the International Reference Ionosphere (IRI-2020 and IRI-Plas) across multiple parameters including electron density, total electron content (TEC), F2-layer peak density (NmF2), and complete vertical profile reconstructions. The model successfully captures ionospheric variability under both quiet and disturbed geomagnetic conditions, demonstrating superior performance in Egypt’s complex low-latitude environment near the Equatorial Ionization Anomaly (EIA). These results highlight the model’s potential for high-resolution ionospheric modeling over Egypt, with promising applications in GNSS error correction, space weather forecasting, and upper atmospheric research.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Direction-resolved azimuth–elevation metrics for GNSS station quality assessment

19. Januar 2026

Revathi Nagarajan, Onkar Dikshit, Nagarajan Balasubramanian

PDF downloaden

Satellite geometry and sky visibility critically influence Global Navigation Satellite System (GNSS) observation quality. Conventional quality measures such as multipath, cycle slip, SNR ratio, Position Dilution of Precision (PDOP) require sufficient valid data and time-consuming processing, whereas azimuth–elevation (Az–El) metrics can be derived directly from raw observations in RINEX files and satellite ephemeris. In this study, we propose a simple set of Az–El metrics to characterize site suitability and evaluate their ability to replicate the PDOP-based composite (baseline). We compared normalized composite scores from both approaches (Az–El composite (proposed)) using one year of GPS data from 66 continuously operating reference stations (CORS) in northern India (2024). All metrics were ECDF-scaled to [0–1], and ‘lower-is-better’ terms were flipped so higher values always indicate better quality. Agreement between Az–El and PDOP composites remained high (Spearman ρ ≈ 0.956, Kendall τ ≈ 0.831); 3-class accuracy ≈ 84.6 % with Cohen’s κ ≈ 0.769 (tertiles), with no Good↔Limited class flips. These results show that Az–El metrics provide a rapid, processing-light field-ready based QC, suitable for large-scale monitoring and national reference-frame operations. Unlike PDOP, the Az–El metrics explicitly localize direction-specific obstructions (largest blocked sector) and overall sky openness, enabling targeted field remediation and routine QC.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Optimizing GNSS-IR for sea level monitoring: a case study along the Eastern Black Sea coast of Türkiye

19. Januar 2026

Cansu Beşel Hatipoğlu

PDF downloaden

Determining the optimal parameter conditions based on satellite elevation angle and azimuth ranges allows the examination of the reflection surface at the GNSS site locations. This study aims to assess whether the GNSS site locations along the Trabzon coast in the Eastern Black Sea region of Türkiye meet the optimal parameter conditions for monitoring of sea level changes using GNSS-IR. Additionally, the impact of different topographical features and sea conditions was assessed for parameter selection. For this purpose, an experimental area was selected along the coast, and GNSS receivers were installed at four experimental points (NOK1, NOK2, NOK3, NOK4) with different topographic characteristics. A 3-day measurement campaign was conducted to determine the optimal parameter conditions. Signal-to-noise ratio (SNR) data from these four experimental points were used in the study. Satisfactory results could not be obtained at NOK1 and NOK2. Only the NOK4 could be compared with the nearby tide gauge. A relatively high root mean square error of 20 cm was obtained between the two datasets. The results indicate that the data collected from the experimental points were affected by the optimal parameter conditions. Moreover, the GNSS-IR-derived sea level was influenced by the environmental circumstances in locations with optimum parameters.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Characteristics of hydrological loading signals in GNSS observations: a case study from IITK and LCK4 stations

7. Januar 2026

Jagat Dwipendra Ray, Kutubuddin Ansari, Walyeldeen Godah

PDF downloaden

The study investigates surface deformation caused by hydrological mass changes using Global Navigation Satellite System (GNSS) data and a hydrological model at two International GNSS Service (IGS) stations – IIT Kanpur (IITK) and Lucknow (LCK4) – located in the Ganges basin. A key novelty of this work is the comparative assessment of GNSS-observed and Land Surface Discharge Model (LSDM) – modeled vertical Earth surface deformation over North India. The goal is to assess how variations in terrestrial water storage affect vertical crustal deformation in this region. GNSS-derived vertical displacement time series were compared with those modeled using the Land Surface Discharge Model (LSDM), that provides terrestrial water storage changes at a 0.5° × 0.5° spatial resolution. Both GNSS and LSDM time series exhibit a clear annual cycle, reflecting the dominant impact of seasonal hydrological loading. To analyze the relationship between GNSS-observed and LSDM-modeled deformations, wavelet transform analysis was employed to detect time-localized spectral power and coherence across frequencies between the two datasets. Correlation coefficients between GNSS and LSDM deformation exceed 0.7 at both IGS stations, indicating strong agreement. However, LSDM explains only about 40–60 % of the variance observed in the GNSS data, suggesting the influence of other geophysical or environmental factors are not captured by the model. Wavelet coherence analysis confirms strong correlation in the annual frequency band.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Multi-scale accuracy evaluation and adaptability analysis of different atmospheric weighted mean temperature models in China

7. Januar 2026

Bingbing Zhang, Junkuan Zhu, Yi Shen

PDF downloaden

The atmospheric weighted mean temperature (Tm) plays a critical role in deriving precipitable water vapor (PWV) from zenith wet delay (ZWD) in GNSS meteorology. Although numerous empirical Tm models have been rigorously validated at regional and global scales, their applicability and reliability across China remain insufficiently characterized. To address this gap, this study systematically evaluated four representative Tm models – Hourly Global Pressure and Temperature 2 (HGPT2), Global Pressure and Temperature 3 (GPT3), Global Tropospheric Model (GTrop), and China Tropospheric Model (CTrop) – using stratified meteorological data from 87 radiosonde stations in China (2010–2019). Model performance was assessed through bias and root mean square error (RMSE) metrics. Key findings reveal significant spatial heterogeneity in model accuracy across China’s four geographic regions. The GTrop and CTrop models demonstrated superior accuracy and nationwide stability, whereas HGPT2 and GPT3 exhibited pronounced limitations in mid-to-high latitudes. Notably, the CTrop model outperformed GTrop at select stations, achieving the lowest overall bias (0.39 K) and RMSE (3.95 K) among all models. Altitudinal analysis indicated that all models performed optimally below 1,000 m, with GTrop and CTrop showing marked accuracy improvements at higher elevations. Temporal analysis further highlighted CTrop’s robustness, exhibiting minimal errors across seasonal and diurnal variations. However, all models were constrained by limited Tm value ranges. Collectively, these results establish CTrop as the most accurate and stable Tm model for PWV retrieval in China.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

A simplified PPP-RTK atmospheric delay correction model and its positioning performance

26. Dezember 2025

Siyao Wang, Miaomiao Wang, Rui Tu, Song Jia, Lihong Fan, Xianjian Xiao

PDF downloaden

The atmospheric delay corrections including tropospheric delay corrections and ionospheric delay corrections are critical information in positioning solutions of PPP-RTK (Precise Point Positioning-Real-Time Kinematic) rapid positioning service, in order to achieve rapid convergence of fixed ambiguity and high-precision positioning solutions in a short time. With rapid development of GNSS (Global Navigation Satellite Systems), the availability of multi-frequency and multi-GNSS observations has led to a significantly increase of number of atmospheric delay corrections, which will surely put more pressure on data transmission and reception to PPP-RTK service and potentially improve the cost of operational economy of users. Therefore, we propose a simplified method to process the atmospheric delay corrections, which sacrifices a certain degree of mathematical rigorousness in positioning equations, but significantly reduces the number of corrections while ensuring that the degradation in positioning performance remains in a controllable way. The traditionally used slant tropospheric delay corrections are simplified to zenith tropospheric delay corrections, and the usually used pseudo-range slant ionospheric delay corrections are no longer transmitted and are simply calculated as the opposite of phase slant ionospheric delay corrections at the user station. The experiments results show that the number of atmospheric delay corrections reduced about 60 %, and the differences between the atmospheric delay corrections processed by the proposed simplified method and the typically traditional method are acceptable to a certain extent for users located in networks with small/medium scale and under relatively stable atmospheric conditions. Although the employment of atmospheric corrections processed by the proposed method introduces the longer TTFF (Time To First Fix) and the lower success fixing rate of ambiguity, the positioning solutions with the proposed simplified method is still basically adequately to meet the positioning requirement of user stations. The proposed simplified model is beneficial to some users who prefer to put more emphasis on equipment portability and data transmission economy.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

CRS transformations in North Macedonia: accuracy, offsets, and harmonization pathways

3. Dezember 2025

Bashkim Idrizi

PDF downloaden

For over a century, North Macedonia has relied on coordinate reference systems (CRS) inherited from former Yugoslavia, resulting in inconsistencies between legal definitions, institutional practice, and usage. Despite several legal revisions, no comprehensive national framework has yet resolved these inconsistencies, leaving a critical research gap concerning the harmonization of CRS variants and their implications for interoperability. This study traces the historical development of CRS in the country, analyzes harmonization challenges, and compares regional transitions. Methodologically, the paper combines historical, legal, and technical analysis with comparative assessment of EPSG codes and transformation parameters, offering a systematic evaluation of CRS accuracy and offsets. Currently, three CRS variants (EPSG:6204, EPSG:6316, and EPSG:9945) coexist, producing offsets of 7,000 km in easting and 4,000 km in northing, which hinder GIS integration. Unlike neighboring states adopting ETRS89, North Macedonia lags behind. The findings highlight the need for an officially recognized transition toward an ETRS89-based CRS to achieve national and regional interoperability. Coordinated reforms, including EPSG registry recognition and transition to ETRS89, are essential for interoperability and reliable spatial infrastructure.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Establishment of the new gravity reference frame of Kazakhstan (QazGRF)

3. Dezember 2025

Roman Sermiagin, Anel Islyamova, Adlet Kutpanov, Danabek Tazhedinov, Andrey Drozd, Samat Kinzhiguzhinov, Danil Lymarev, Mikhail Merkulov

PDF downloaden

The article presents the results of establishing a new national gravimetric reference frame of Kazakhstan (QazGRF) based on absolute gravity measurements. The work was carried out during two field campaigns in 2023 and 2024 for zero-order and first-order stations, respectively, with each campaign lasting no more than three months. As a result, 74 primary absolute stations were created, and around each of them, within a radius of up to 100 km, secondary points were built–ranging from 1 to 20 depending on the order and local conditions. In total, the QazGRF comprises 218 primary and secondary stations. The gravity at the secondary points was determined by relative gravimetry, and the vertical gravity gradient was measured at each absolute station. The work followed the requirements for establishing the International Terrestrial Gravity Reference Frame (ITGRF). Data were processed using both standard software and specially developed packages for the adjustment of local gravimetric networks and for determining the vertical gravity gradient parameters. The mean total standard uncertainty of the gravity values at the primary absolute stations does not exceed 6.5 μGal, with the best results reaching 6.0 µGal, while at the secondary stations it does not exceed 7.7 µGal, with the best results of 7.3 µGal. This implementation represents the first realization of the national gravity reference frame of Kazakhstan using the absolute method.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Preliminary investigation on digital signal processing techniques for echo signal analysis in geodetic and wildlife monitoring

2. Dezember 2025

Sony Devalapally, Sridher Tunguturi, Lakshmanna Kuruva

PDF downloaden

In large-scale remote monitoring of animals/mammals, echo signals localization with Internet of Things (IoT) modules has proved significant progress. Accurate information of echo signal extraction is difficult due to the frequent overlapping of signals in field recordings. The Digitization of these echo signals is essential to reconstruct interpretation of accurate signal in various geodetic fields, bird’s/mammal’s vocalization, seismic data collection, and GNSS signal processing. As a preliminary examination, this research examines on digital signal processing operations on four sampling rates namely 16 kHz, 32 kHz, 48 khz, and 96 kHz and their influences on the clarity, noise impact by employing GNU Radio Companion (GRC). It is observed that the lower rates 16 kHz and 32 kHz results in pronounced aliasing effects and the loss of higher-frequency signal components, hindering accurate interpretation. In contrast, the higher sampling rates 48 kHz and 96 kHz preserved signal details and demonstrated stronger resistance to noise. In this study, to measure aliasing and signal reconstruction quality, this study proposed the Fidelity Score (FS), a normalised quality metric that ranges from ‘0 to 10’ i.e. poor fidelity to perfect fidelity, and the Aliasing Severity metric (ASI), which is the ratio of aliased to original signal power. For instance, at 96 kHz, the aliasing severity was 0.5, and the fidelity score reached 9 out of 10, indicating near-perfect reconstruction. Further the work is validated using real-time bird vocalizations, including a 48 kHz recording of the White-throated Laughingthrush and a 15 kHz dominant frequency call of the Common Babbler, confirming its applicability to real-world data. These preliminary findings help in appropriately choosing sampling rates to achieve reliable signal acquisition in geodetic, automatic bird/animal sound separation applications that require high precision and signal clarity.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Estimation of precipitable water vapour by GNSS meteorology in Black Sea region of Türkiye

17. November 2025

Emine Tanır Kayıkçı, Kutubuddin Ansari, Vincenza Tornatore, Selma Zengin Kazancı, Mualla Yalçınkaya

PDF downloaden

This study investigates the estimation of precipitable water vapour (PWV) using Global Navigation Satellite System (GNSS) meteorology in the Black Sea region of Türkiye, an area characterized by high rainfall and significant climatic variability. GNSS observations from four permanent stations (SAME, SOMU, MACK, and TRAB) between October 2017 and December 2019 were processed with Bernese 5.2 software to retrieve zenith total delay and derive PWV. The Vienna Mapping Function 1 (VMF1) was applied with a 10° elevation cut-off angle, and orography-dependent pressure and temperature fields were used for tropospheric modeling. The results were compared with radiosonde measurements from Samsun station and ERA-Interim reanalysis data to assess reliability. Findings show that GNSS-derived PWV varied between 1 and 46 mm, with strong seasonal and diurnal cycles higher in summer and daytime, and lower in winter and nighttime. Radiosonde PWV exhibited strong correlation with GNSS PWV ( r > 0.9), while ERA-Interim tended to overestimate values, particularly at higher elevation sites. GNSS PWV demonstrated a strong positive correlation with surface temperature (∼0.8) and an inverse relationship with atmospheric pressure. These results confirm the potential of GNSS meteorology as a reliable tool for continuous and high-resolution monitoring of atmospheric water vapour, supporting weather forecasting and climate studies in the Black Sea region.
Erfordert eine Authentifizierung Nicht lizenziert
Lizenziert

Unificative methodology for determining recent dynamic parameters of tectonic plates based on GNSS data

17. November 2025

Ihor Savchyn

PDF downloaden

This study presents a unificative methodology for determining the latest dynamic parameters of tectonic plates, including moment of inertia, angular momentum, and kinetic energy, using data from continuous GNSS stations combined with information on crustal thickness and density from the CRUST1.0 model. The methodology treats the tectonic plate as a system of discrete volume cells, each with a defined mass and distance to the axis of rotation, which allows for accurate calculation of dynamic parameters. The approach has been tested on 7 large, 7 medium, and 3 microplates using data from 3169 GNSS stations for the period 2002–2021. The methodology provides an uncertainty of parameter estimation of less than 5.5 %, offering a new tool for detailed assessment of lithospheric dynamics and understanding the distribution of rotational energy in the Earth’s plates.
Open Access
Using robotic total station networks for 360° prism deviation reduction

6. November 2025

Gereon Tombrink, Lasse Klingbeil, Heiner Kuhlmann

PDF downloaden

The accurate generation of reference trajectories is essential for the empirical evaluation of navigation sensors. Systematic deviations of the reference trajectory should be avoided as much as possible, as they distort the result of the trajectory comparison. While robotic total stations (RTS) already have several advantages over commonly used GNSS/IMU reference trajectories, they are still not free of systematic deviations due to the use of 360° prisms. Depending on the angle of incidence of the RTS signal into the prism, these cause systematic deviations in the position in the range of several millimeters. In this paper, we therefore present a measurement concept that can be used to reduce these deviations. We use a network of multiple RTS that track the same 360° prism. Due to the different RTS-target geometry of each RTS, the resulting deviations also differ and can be reduced when averaged. We support this claim with experiments which show a reduction of horizontal position deviations of up to 38.5 % in a static measurement and up to 22.4 % in a kinematic measurement. However, the vertical deviations cannot be reduced by combining multiple RTS with our measurement setup. We publish the code for controlling and managing RTS networks here: https://github.com/Engineering-Geodesy-Bonn/rts-network.

Special Issue: Joint International Symposium on Deformation Monitoring 2025

Special Issue: Deformation Monitoring

Special Issue: Deformation Monitoring

Special Issue: Deformation Monitoring

Special Issue on Multi-sensor Systems in Engineering Geodesy and Navigation

Die Zeitschrift Journal of Applied Geodesy veröffentlicht Sonder- und Themenhefte, die sich auf wichtige und neu aufkommende Themen im Bereich der Forschung konzentrieren. Die Zeitschrift hat ein strenges Verfahren eingeführt, um sicherzustellen, dass alle Manuskripte für Sonderausgaben denselben Qualitätsstandards und Peer-Review-Verfahren unterliegen wie reguläre Manuskripte. Weitere Informationen über die Peer-Review-Politik der Zeitschrift finden Sie in den "Hinweisen für Autoren".

Aktuelle Themenhefte

Band 19 | Heft 3 Special Issue: Joint International Symposium on Deformation Monitoring 2025

Journal Impact Factor	0.9	2024, Journal Citation Reports (Clarivate, 2025)
5-year Journal Impact Factor	1	2024, Journal Citation Reports (Clarivate, 2025)
Journal Citation Indicator	0.23	2024, Journal Citation Reports (Clarivate, 2025)
CiteScore	2.3	2024, Scopus (Elsevier B.V., 2025)
SCImago Journal Rank	0.321	2024, SJR (Scimago Lab, 2025; Data Source: Scopus)
Source Normalized Impact per Paper	0.811	2024, CWTS Journal Indicators (CWTS B.V., 2025; Data Source: Scopus)

Weitere Informationen über Zeitschriftenmetriken

Submission
You can easily submit your manuscript online. Simply go to...
http://mc.manuscriptcentral.com/jageo
...and you will be guided through the whole peer-reviewing and publishing process.

Your benefits of publishing with us

Short turnaround times with rapid online publication
Accepted papers are promptly published online ahead-of-print
High quality single blind peer-review
Free publication of color figures both in online and print editions and no page charges
Optional open access publication
Accepted papers will be published online first as DOI-citable, forward-linked articles for quickest possible visibility for the scientific community
Every article easily discoverable because of Search Engine Optimization (SEO) and comprehensive abstracting and indexing services
Secure archiving by De Gruyter and the independent archiving service Portico
Professional sales and marketing activities

Submission process

Submission of your paper via our submission management tool
Peer review process (you will be guided through every step)
Decision on your paper (approx. 2 months on average from submission to first decision)
When manuscripts are accepted subject to revision, the revised manuscript should be returned within approximately 2 months
Accepted papers are promptly published online ahead-of-print as soon as they have been finally processed.
Publication online and in print (4 weeks from acceptance to publication)

Please note

Manuscripts must be written in clear and concise English
Before submitting your article please have a look at our Information for Authors, our Ethical Guidelines and Copyright Transfer Agreement
Once your article is accepted you have the option to publish it open access
Our Repository Policy allows you to distribute 30 PDF copies of your published article to colleagues (the PDF has to include the information that it is an author's copy). Please also feel free to distribute the link to the online abstract
If you have any general questions please visit our FAQ page for authors

We look forward to receiving your manuscript!

Hybrid Open Access

In this journal, authors have the option to publish their article under an open access license. Open Access allows you as an author to retain copyright and share your findings with colleagues and interested parties worldwide without any restraints.
Please note that authors from institutions with which we have a transformative agreement can publish open access without paying an article processing charge (APC). More information on the eligible institutions and articles can be found under the "Funding and Support" tab here.

Editors-in-Chief
Hans-Berndt Neuner, TU Wien, Austria
Chris Rizos, University of New South Wales, Sydney, Australia

Editorial Board
Xiaoli Ding, The Hong Kong Polytechnic University, Hong Kong, China
Andreas Eichhorn, Technische Universität Darmstadt, Darmstadt, Germany
Naser El-Sheimy, The University of Calgary, Calgary, Canada
Linlin Ge, University of New South Wales, Sydney, Australia
Vassilis Gikas, National Technical University of Athens, Athens, Greece
Dorota Grejner-Brzezinska, The Ohio State University, Columbus, USA
Cheinway Hwang, Chiao Tung University, Hsinchu City, Taiwan
Allison Kealy, University of Melbourne, Victoria, Australia
Heiner Kuhlmann, Universität Bonn, Bonn, Germany
Hansjörg Kutterer, Bundesamt für Kartographie und Geodäsie, Frankfurt, Germany
Xiaolin Meng, University of Nottingham, Nottingham, United Kingdom
Gyula Mentes, Geodetic and Geophysical Research Institute of HAS, Sopron, Hungary
Wolfgang Niemeier, Technical University Braunschweig, Braunschweig, Germany
Alexander Reiterer, Fraunhofer Institute for Physical Measurement Techniques IPM, Freiburg, Germany
Guenther Retscher, Vienna University of Technology, Vienna, Austria
Volker Schwieger, University of Stuttgart, Stuttgart, Germany
Peter Teunissen, Delft University of Technology, The Netherlands and Curtin University of Technology, Perth, Australia
Andreas Wieser, ETH Zürich, Zürich, Schweiz
Caijun Xu, Wuhan University, Wuhan, Hubei, China

Journal of Applied Geodesy ist in den folgenden Services indiziert:

Astrophysics Data System (ADS)
Baidu Scholar
CNKI Scholar (China National Knowledge Infrastructure)
CNPIEC - cnpLINKer
Current Geographical Publications
Dimensions
EBSCO (relevant databases)
EBSCO Discovery Service
Ei Compendex
Engineering Village
Genamics JournalSeek
GeoArchive
Geobase
GeoRef
Google Scholar
Index Copernicus
Inspec
Japan Science and Technology Agency (JST)
J-Gate
JournalGuide
Naver Academic
Naviga (Softweco)
Norwegian Register for Scientific Journals, Series and Publishers
Primo Central (ExLibris)
ProQuest (relevant databases)
Publons
QOAM (Quality Open Access Market)
ReadCube
Reaxys
Science Explorer
ScienceON (Korea Institute of Science and Technology Information)
Scilit
SCImago (SJR)
SCOPUS
Semantic Scholar
Sherpa/RoMEO
Summon (ProQuest)
TDNet
Ulrich's Periodicals Directory/ulrichsweb
WanFang Data
Web of Science - Emerging Sources Citation Index
WorldCat (OCLC)
X-MOL
Yewno Discover

Online Submission of Manuscripts

Zeitschriften Informationen

Weitere Informationen

eISSN:

1862-9024

ISSN:

1862-9016

Sprache:

Englisch

Verlag:

De Gruyter

Weitere Informationen

Erstveröffentlichung:

22. März 2007

Erscheinungsweise:

4 Hefte pro Jahr

eISSN: 1862-9024

ISSN: 1862-9016

Zielgruppe(n) für diese Zeitschrift

researchers and professionals in the field of geodesy

Sicherheits- und Produktressourcen

Herstellerinformationen:: Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin; productsafety@degruyterbrill.com

Journal of Applied Geodesy

Über diese Zeitschrift

Ihre Vorteile

Zusatzmaterial

Fachgebiete

Journal of Applied Geodesy

Übersicht

Über diese Zeitschrift

Ihre Vorteile

Ahead-of-Publication / Just-Accepted

Ausgaben

Themenhefte

Metriken

Einreichen

Editorial

Abstracting und Indexing

Zusatzmaterial

Zusatzmaterial

Fachgebiete

Fachgebiete

Externe Links

Bibliographische Daten