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Email: Peter Collier

 

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Survey Review 56, No 394. January/February 2024

1. Blockchain-oriented geospatial architecture model for real-time land registration
Ali Erdem Ozcelik

Obtaining geo-data and attributes of spatial units from heterogeneous database systems with different data formats for the same land properties is still one of the main problems. The emerging technologies, such as decentralized databases, distributed networks and big data powered by blockchain, can potentially improve land registration processes. In this article, I developed a data model for a geospatially enabled blockchain infrastructure, using an object-oriented architecture model. Such a model can better find spatio-temporal patterns of land transactions and better query time-varying locations of land properties. Additionally, it will make the land registry system secure and protect privacy.

Further information:
http://www.tandfonline.com/doi/abs/10.1080/00396265.2022.2156755


2. Urban surface deformation monitoring and prediction by integrating SBAS-InSAR and Elman neural network
Chaoqun Teng, Lei Wang & Chuang Jiang

The existing prediction methods have complex model application, high requirements for data parameters, and are limited to the prediction of a single observation point. To address this problem, this paper proposes a deep learning-based surface subsidence prediction method. Taking Hefei City of China as the research area, the time-series surface deformation results of this area are obtained by using SBAS-InSAR, and then the SFLA intelligent algorithm and Elman neural network model are combined to predict the surface deformation of key urban areas, and the prediction results are compared and analyzed.The experimental results show that the prediction model proposed in this paper can not only accurately predict a single deformation point, but also predict regional land subsidence, and can be used for auxiliary decision-making of urban spatial planning, early warning of geological hazards and hazard mitigation.

Further information:
http://www.tandfonline.com/doi/abs/10.1080/00396265.2022.2157119


3. Automatic segmentation and parallel phased least squares for highly efficient geodetic network parameter estimation
Roger W. Fraser, Frank J. Leahy & Philip A. Collier

This paper describes a novel automatic segmentation algorithm and parallel phased least squares strategy. These developments have been motivated by a requirement to repeatedly estimate extremely large parameter sets from massive and constantly changing geodetic networks in a highly efficient manner. The challenge of solving parameter sets efficiently, together with the inverse of the normal equations to obtain the full matrix of parameter estimate precisions, may be addressed by using highly optimised parallel matrix factorisation libraries. While offering notable reductions in time on multi-core CPU architectures, the simultaneous solution of extremely large measurement sets still requires excessive amounts of time and computational resources (if attainable). Historically, the challenge has been addressed by geodesists through a range of Helmert blocking or matrix partitioning techniques and sequential least squares models. While capable of producing rigorous parameter estimates, certain methods suffer from computational inefficiency; implementation complexity; inflexibility in re-forming the parameterised expressions upon the introduction of new measurements or non-rigorous variance matrices. Tienstra's phased least squares method is able to overcome all of the aforementioned problems, provided an efficient and flexible process is available for rigorously subdividing the parameters and measurements. In this contribution, we present an automatic segmentation algorithm and a strategy for parallelising Tienstra's phased least squares method using a dynamic scheduling queue. These developments offer a breakthrough in geodetic methodology, in that for the first time they allow for the rigorous solution of both parameters and variances from massive systems of observation equations subject to continual change in an adaptive and highly efficient manner.

Further information:
http://www.tandfonline.com/doi/abs/10.1080/00396265.2022.2163138


4. Assessing the performance of multi-GNSS precise point positioning technique on the geoid model validation
Mehmet Simav, Berkay Bahadur, Hasan Yıldız, Ayhan Cingöz, Metin Nohutcu & Erdinç Sezen

This study aims to investigate the comparative performance of PPP technique in evaluating the precision of three distinct geoid models and to quantify the contribution of GLONASS constellation to GPS as well as the effect of observation length. We use recently and concurrently measured GNSS and levelling data crossing rough topography with steep geoid slope in Türkiye. The RMSE statistics about the mean of the geometric minus gravimetric geoid heights reveal that at least 4-hours of static data should be collected regardless of the constellation. We find out encouraging results with 8-hours of GPS + GLONASS solutions having RSME values of 3.0, 5.0 and 21.5 cm in validating national, globally combined and satellite-only geoid models, respectively. The multi-GNSS PPP processing with a relatively long observation period yields comparable results to relative positioning though the latter still performs slightly better.

Further information:
http://www.tandfonline.com/doi/abs/10.1080/00396265.2023.2167920


5. A novel solution to planar feature-constrained, dual quaternion-based registration method for point clouds
Raobo Li, Xiping Yuan, Shu Gan, Rui Bi, Sha Gao & Weidong Luo

To solve point cloud registration, a novel solution to planar feature-based registration of point clouds was proposed in this study according to dual quaternion description based on the constraint of planar feature. The normal vector of the homologous feature plane should be kept parallel according to the registration, and the points on the plane should satisfy the planar equation. Moreover, the modified Levenberg-Marquardt method was adopted to complete the registration model, so as to avoid inappropriate initial values from causing non-convergence of the iteration. Lastly, the robustness and accuracy exhibited by the method were verified using simulated and measured data.

Further information:
http://www.tandfonline.com/doi/abs/10.1080/00396265.2023.2200353


6. Assessing the utilization of UAV technology for cadastre update applications in Turkey based on cost-benefit analysis
Kamil Karataş & Nurgül Seher Altınışık

The aim of this study is to examine the use of UAVs from various perspectives in cadastral update studies and present the advantages and disadvantages of this method. The cadastral data obtained through direct fieldwork, the stereo model created by UAV images, and the orthophoto developed from UAV images were compared within the scope of the cadastre update study. Based on the data obtained from the UAV, it was observed that the detail points were identified more accurately and in a shorter time, saving 66.0% of the time and 75.7% of the cost.

Further information:
http://www.tandfonline.com/doi/abs/10.1080/00396265.2023.2207065


7. The enhanced search procedure in a coordinate domain for precise satellite positioning
Slawomir Cellmer, Krzysztof Nowel & Artur Fischer

Recently, there has been an increase in the availability of GNSS satellites for observation, which poses new challenges in the computational process of precise satellite positioning. Ambiguity resolution is a crucial step in achieving accurate relative positioning. In this regard, an improved version of a searching procedure in a three-dimensional coordinate domain has been proposed and tested. The method starts with a float solution, similar to classic methods like the LAMBDA. However, the subsequent step, the search procedure, is conducted in the coordinate space instead of the ambiguity space. This shift to a three-dimensional coordinate space leads to reduced computation time. A computational experiment was performed to validate the proposed method, which demonstrated a significant reduction in processing time. The advantages of this method are particularly prominent when dealing with a large number of satellites.

Further information:
http://www.tandfonline.com/doi/abs/10.1080/00396265.2023.2228128


8. A field method to estimate the uncertainty of RTK measurements
Amin Alizadeh-Khameneh, Milan Horemuž, Johan Vium Andersson, Sara Wahlund & Lars Jämtnäs

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.

Further information:
http://www.tandfonline.com/doi/abs/10.1080/00396265.2023.2229591





 
         
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