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Total least squares adjustment in inequality constrained partial errors-in-variables models: optimality conditions and algorithms Surv. Rev. (IF 1.66) Pub Date : 2021-04-12 Jian Xie, Dongfang Lin, Sichun Long
The partial errors-in-variables (PEIV) model is a structured form of errors-in-variables (EIV) model reformulated by collecting all the independent random elements of the coefficient matrix. When some reliable inequality constraints are taken into account, the adjustment results of inequality constrained PEIV (ICPEIV) model are probably improved. In this contribution, we first present the optimality
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Building Information Modelling (BIM) for property valuation: A new approach for Turkish Condominium Ownership Surv. Rev. (IF 1.66) Pub Date : 2021-04-02 Nida Celik Simsek, Bayram Uzun
In Turkey, calculation of the factors affecting the value of the condominium units of a building via 2D architectural project data leads to problems. One of the biggest problem is the land share calculation. The aim of this study was to establish a mechanism by which the properties of the factors affecting the value can be determined mathematically and to arrive at a value-based land share. For this
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Comparing results of online GNSS services: A case study from Turkey Surv. Rev. (IF 1.66) Pub Date : 2021-03-10 Özge Güneş, Deniz Öz Demir
The goal of this paper is to compare academic and online GNSS processing services for CORS-TR. To determine whether differences in the coordinate components were statistically significant, statistical significance test and 3D coordinate transformation were applied. Furthermore, local coordinates analysed to show jumps that occurred to seismic events. While there are significant differences only in
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Lake water level variability determination from SAR backscatter of discrete objects, GNSS levelling and satellite altimetry Surv. Rev. (IF 1.66) Pub Date : 2021-03-03 R. Reyes, M. Nagai, A. Blanco
In the absence of enough gauging stations for monitoring lake water level, three (3) methods are presented in this research: (1) Synthetic Aperture Radar (SAR) backscatter from discrete object; (2) Global Navigation Satellite System (GNSS) levelling; and (3) satellite altimetry. The results showed that the Laguna Lake water level is not homogeneous but instead varies at different locations. The GNSS
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Consideration on how to introduce gamification tools to enhance citizen engagement in crowdsourced cadastral surveys Surv. Rev. (IF 1.66) Pub Date : 2021-02-23 Konstantinos Apostolopoulos, Chryssy Potsiou
The major objective of this research is to investigate the progress of citizen participation in cadastral surveying and to consider ways on how to introduce gamification tools for further improvement. A brief literature review is presented in the areas of the Sustainable Development Agenda 2030 related to land administration and citizen engagement, e-government and citizen participation and gamification
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History of geodetic works in Vojvodina (Northern Serbia) and use of old maps in Serbian national spatial data infrastructure Surv. Rev. (IF 1.66) Pub Date : 2021-02-23 Sofija Naod, Oleg Odalović, Ljiljana Brajović, Rajko Savanović
Imperial hegemony established by the Habsburg Monarchy relied upon proper mapping during its conquests. The need for the development of geodesy and establishing reference frames was important. Until the end of the First World War, Vojvodina belonged to the Austrian-Hungarian Empire, so all of its surveys were carried out as part of many organized land surveys in the Monarchy. Today, more than 100 years
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A search step optimization in an ambiguity function-based GNSS precise positioning Surv. Rev. (IF 1.66) Pub Date : 2021-02-17 Slawomir Cellmer, Krzysztof Nowel, Artur Fischer
The search procedure, as a part of the Modified Ambiguity Function Approach (MAFA), is conducted in the coordinate space. The main advantage of searching for a fixed solution in the coordinate domain, instead of in the ambiguity domain, is the constant search space dimension, which amounts to three. In contrast, an ambiguity space dimension can presently achieve over twenty when the positioning is
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Estimation of the height datum geopotential value of Hong Kong using the combined Global Geopotential Models and GNSS/levelling data Surv. Rev. (IF 1.66) Pub Date : 2021-02-17 Panpan Zhang, Lifeng Bao, Dongmei Guo, Qianqian Li
The advent of the Gravity Recovery and Climate Experiment (GRACE) and Gravity field and steady-state Ocean Circulation Exploration (GOCE) has changed the global contribution in the determination of high-accuracy global geopotential models (GGMs). In this paper, a spectral expansion method is used to determine the combined GGMs, using the high-resolution EGM2008 model and residual terrain model (RTM)
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Collaborative positioning method via GPS/INS and RS/MO multi-source data fusion in multi-target navigation Surv. Rev. (IF 1.66) Pub Date : 2021-02-17 Rui Liu, Klaus Greve, Pengyu Cui, Nan Jiang
This paper aims to design a method of multi-source data fusion in multi-target collaborative navigation. First, the respective features of GPS/INS/RS/MO data in the navigation process are clarified. Then a multi-source data fusion method is designed including GPS/INS data fusion with adaptive Kalman filter, RS/MO data fusion with ranging table matching of observation targets, and joint adjustment with
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Spatial aspect of fit-for-purpose land administration for emerging land administration systems: a conceptual framework for evaluation approach Surv. Rev. (IF 1.66) Pub Date : 2021-02-10 Didier Milindi Rugema, Tadesse Amsalu Birhanu, Gebeyehu Belay Shibeshi
Fit-for-purpose land administration (FFPLA) concept is widely applied in the emerging land administration systems (LASs). This paper aims to contribute to the development of evaluation of the spatial aspect of FFPLA. A review of evaluation models for LASs is made in relation with rationale of FFPLA to identify gaps related to evaluation of a FFPLA and to build up milestones and measurement criteria
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An attempt to analyse Iterative Data Snooping and L1-norm based on Monte Carlo simulation in the context of leveling networks Surv. Rev. (IF 1.66) Pub Date : 2021-02-01 Ivandro Klein, Stefano Sampaio Suraci, Leonardo Castro de Oliveira, Vinicius Francisco Rofatto, Marcelo Tomio Matsuoka, Sergio Baselga
The goal of this paper is to evaluate the outlier identification performance of iterative Data Snooping (IDS) and L1-norm in levelling networks by considering the redundancy of the network, number and size of the outliers. For this purpose, several Monte-Carlo experiments were conducted into three different levelling networks configurations. In addition, a new way to compare the results of IDS based
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Empirical comparison between stochastic and deterministic modifiers over the French Auvergne geoid computation test-bed Surv. Rev. (IF 1.66) Pub Date : 2021-01-17 R. Goyal, J. Ågren, W.E. Featherstone, L.E. Sjöberg, O. Dikshit, N. Balasubramanian
Since 2006, several different groups have computed geoid and/or quasigeoid (quasi/geoid) models for the Auvergne test area in central France using various approaches. In this contribution, we compute and compare quasigeoid models for Auvergne using Curtin University of Technology’s and the Swedish Royal Institute of Technology’s approaches. These approaches differ in many ways, such as their treatment
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Accuracy assessment of kinematic PPP versus PPK for GNSS flights data processing Surv. Rev. (IF 1.66) Pub Date : 2021-01-07 Mert Gurturk, Metin Soycan
The integration of survey-grade Global Navigation Satellite Systems (GNSS) with photogrammetric measurement studies conducted with an aircraft has the potential to meet the need for the use of ground control points (GCP). In photogrammetric studies, there are different GNSS techniques to provide the precise positioning of the aircraft. The precise point positioning (PPP) technique has become an alternative
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Assessment of the GNSS PPP performance using ultra-rapid and rapid products from different analysis centres Surv. Rev. (IF 1.66) Pub Date : 2020-12-25 Sermet Ogutcu, Haitham Talib Farhan
The performance of precise point positioning (PPP) mainly depends on satellite orbit and clock accuracy. Ultra-rapid and rapid orbit/clock products have been creating by analysis centres (ACs) for time-critical applications. In this paper, GPS-, GLONASS-, Galileo-, and BeiDou (BDS-2)-only PPP with ultra-rapid and rapid products from seven ACs (i.e. CODE, ESA, IGS, GFZ, JPL, NRCan, and WUHAN) are investigated
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Architecture for semantic web service composition in spatial data infrastructures Surv. Rev. (IF 1.66) Pub Date : 2020-12-25 Deniztan Ulutaş Karakol, Çetin Cömert
The importance of geospatial data has rendered it to be used in decision-making in both public and private sectors. The purpose of this study was to employ Semantic Web Technology (SWT) for the problems of Web Service Composition (WSC) in the context of Spatial Data Infrastructures (SDI). Some of these problems are identifying the workflow sequence and the user goal, discovering services according
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Towards standardisation of Turkish cadastral system using LADM with 3D cadastre Surv. Rev. (IF 1.66) Pub Date : 2020-12-11 Hicret Gürsoy Sürmeneli, Mehmet Alkan
Cadastre in Turkey is executed as two-dimensional (2D) and parcel-based. The third dimension (3D) on land and real estate is shown in 2D on the map with permanent rights. The use of underground spaces cannot be registered. There are various problems in the registration and mapping of real estates that are under or above these excluded places. The research was motivated by some problems that have taken
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A comprehensive assessment of four-satellite QZSS constellation: navigation signals, broadcast ephemeris, availability, SPP, interoperability with GPS, and ISB against GPS Surv. Rev. (IF 1.66) Pub Date : 2020-12-11 XuanPing Li, Lin Pan, Wenkun Yu, Wujiao Dai, Yanjie Li, Hui Peng
In this study, a comprehensive assessment of four-satellite Quasi-Zenith Satellite System (QZSS) constellation is conducted, including the quality of navigation signals, the accuracy of broadcast ephemeris, the availability of satellite constellation, the performance of single point positioning (SPP), the interoperability with GPS, and the inter-system bias (ISB) against GPS. Regarding the signal quality
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Indoor space as the basis for modelling of buildings in a 3D Cadastre Surv. Rev. (IF 1.66) Pub Date : 2020-12-11 Jernej Tekavec, Marjan Čeh, Anka Lisec
This paper presents a 3D cadastral data model for buildings. A review of the relevant research shows that a common concept in the 3D cadastre domain is using the legal building unit, i.e. real property unit, as the core modelling unit. Alternatively, this study proposes using indoor space as a core modelling unit. The main reason is to enable the efficient integration of cadastral data with the data
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Real-time GNSS precise point positioning using improved robust adaptive Kalman filter Surv. Rev. (IF 1.66) Pub Date : 2020-11-23 Abdelsatar Elmezayen, Ahmed El-Rabbany
Multi-constellation GNSS precise point positioning (PPP) typically uses the extended Kalman filter (EKF) for kinematic applications. Unfortunately, the obtained positioning accuracy in this approach is prone to errors caused by measurement outliers and the system’s dynamic model. An adaptive robust Kalman filter (RKF) was recently developed to mitigate these errors. However, RKF uses empirical values
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Intelligent vectorised architecture for performance enhancement of GNSS receivers in signal blocking situations Surv. Rev. (IF 1.66) Pub Date : 2020-11-23 A. Tabatabaei, Z. Koohi, M. R. Mosavi, Z. Tabatabaei
Navigation in harsh environments mostly encounters many problems such as signal blocking due to a variety of obstacles around the receiver. Vectorised receiver has an architecture in which the channels can share the information. As a result, the strong channels aid the blocked one to reacquire the signal immediately after returning. However, if the output of a channel is undesirable, it may disrupt
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Geoid determination through the combined least-squares adjustment of GNSS/levelling/gravity networks – a case study in Linyi, China Surv. Rev. (IF 1.66) Pub Date : 2020-11-16 Dongmei Guo, Zhixin Xue
A detailed discussion of the adjustment problems used to combine GNSS/levelling/gravity network data is provided in this paper. The two primary problems inherent to heterogeneous data networks, namely, parametric models that describe the datums and systematic distortions among the available data sets and stochastic models that describe the observational residuals, are described. For parametric models
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An iterated reweighting total least squares algorithm formulated by standard least-squares theory Surv. Rev. (IF 1.66) Pub Date : 2020-10-19 Wuyong Tao, Xianghong Hua, Peng Li, Fei Wu, Shaoquan Feng, Dong Xu
If both the coefficient matrix and the observation vector are affected by noise, a total least-squares algorithm should be applied to obtain the solution. However, if they are also contaminated by outliers, the solution of the algorithm will seriously deviate from the true values. Therefore, the effect of outliers needs to be eliminated. For this purpose, the robust estimation is introduced into the
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Determining locations of corners of building structures in real time using harmonisation of various surveying methods – case study Surv. Rev. (IF 1.66) Pub Date : 2020-10-19 Robert Krzyżek
Determination of Cartesian coordinates of building can be performed using various surveying methods. One of these methods is real-time measurement in RTN GNSS mode. Therefore, tests were carried out that led to surveying contractors being presented with an alternative of using RTN GNSS surveys to determine the location of a building with high reliability and accuracy. This solution involves the harmonisation
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Accuracy assessment of RTK-GNSS equipped UAV conducted as-built surveys for construction site modelling Surv. Rev. (IF 1.66) Pub Date : 2020-10-15 Sander Varbla, Raido Puust, Artu Ellmann
Regular as-built surveys have become a necessary input for building information modelling. Such large-scale 3D data capturing can be conducted effectively by combining structure-from-motion and unmanned aerial vehicles (UAV). Using a RTK-GNSS equipped UAV, 22 repeated weekly campaigns were conducted at two altitudes in various conditions. The photogrammetric approach yielded 3D models, which were compared
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Results from the first strapdown airborne gravimetry campaign over the Lake District of Turkey Surv. Rev. (IF 1.66) Pub Date : 2020-10-04 Mehmet Simav
The first production-oriented strapdown airborne gravimetry in Turkey was carried out during fall 2019 over the Turkish Lake District. Comparisons at the large amounts of crossover points yield RMSE values below 1 mGal level, and the external comparison with the latest high-resolution global geopotential model (GGM) shows a mean bias of around 1.1 mGal where the largest deviations are observed on the
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A copula approach for sea level anomaly prediction: a case study for the Black Sea Surv. Rev. (IF 1.66) Pub Date : 2020-09-15 Ahmet Yavuzdoğan, Emine Tanır Kayıkçı
Forecasting future sea levels is of great importance in terms of the conservation of coastal areas, monitoring and forecasting coastal ecosystems, and the maintenance and planning of coastal structures. In addition, highly accurate sea level forecasts allow adequate water management policies and coastal infrastructures to be developed. Today, many methods, such as harmonic analyses, artificial neural
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A constrained extended Kalman filter based on LS-VCE formulated by condition equations with prediction of cross-covariances Surv. Rev. (IF 1.66) Pub Date : 2020-09-07 Vahid Mahboub, Narges Fatholahi
A constrained extended Kalman filter (CEKF) based on least-squares variance component estimation (LS-VCE) is generally developed by condition equations since the proper prediction of dispersion matrices is one of the main bottlenecks in the KF algorithms. Here we investigate four problems which have not been simultaneously considered yet. These problems are examination of non-linearty of dynamic model
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Velocity estimation performance of GNSS online services (APPS and AUSPOS) Surv. Rev. (IF 1.66) Pub Date : 2020-08-19 Ömer Gökdaş, M. Tevfik Özlüdemir
Before now, the various studies that have been undertaken to investigate the positioning performance of GNSS Online Services have been limited with regard to both time and number of sessions. Within the scope of this study, the accuracy of the velocity models estimated by APPS and AUSPOS are analysed using a wider period. Local ISKI CORS Network stations are used as the subject. To generate true values
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Optimising 2-parameter Lambert Conformal Conic projections for ground-to-grid distortions Surv. Rev. (IF 1.66) Pub Date : 2020-07-28 Sergio Baselga
A Lambert Conformal Conic (LCC) projection with two true-scale parallels of latitudes ϕl and ϕu can be recast in a LCC projection with one standard parallel of latitude ϕ0 and scale k0 , having the practical advantage that the same type of definition can be used for the two conformal projections universally used: LCC and Transverse Mercator (TM). While equations giving ϕ0 and k0 in terms ϕl and ϕu
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Validation of GNSS baseline observation models using information criteria Surv. Rev. (IF 1.66) Pub Date : 2020-07-18 Krzysztof Nowel, Sławomir Cellmer, Artur Fischer
This paper adapts and discusses the information criterion (IC) approach for the validation of baseline GNSS observation models in the context of outliers. Three IC methods are compared with the conventional procedure of iterative data snooping (IDS). To verify the reliability of the two considered approaches, several scenarios differing in: the magnitude and number of outliers, and the interval between
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Horizontal coordinates transformation and residuals modelling on the territory of the Republic of Srpska Surv. Rev. (IF 1.66) Pub Date : 2020-06-24 Slavko Vasiljević, Dejan Vasić, Oleg Odalović, Dragan Blagojević, Branko Milovanović
The paper describes the model for coordinate transformation between ETRS89 and old reference system in the Republic of Srpska. The Helmert’s parameters were estimated, based on a set of 1741 points. The average magnitude of residuals was 0.3 m per coordinate and they were homogeneous at the local level. The basic model was complemented by a corrections grid that uses bilinear interpolation. The accuracy
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Land reallocation model with simulated annealing algorithm Surv. Rev. (IF 1.66) Pub Date : 2020-06-18 Ela Ertunç, Mevlüt Uyan, Vahit Tongur
Land consolidation project has many stages. Land reallocation is the most considerable stage in which many factors play a role and forms the basis of this project. In this study, a new optimisation-based reallocation model has been developed to realise block reallocation by evaluating the requests of landowners. The reallocation according to the developed method also reset the block spaces automatically
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Implementing a mass valuation application on interoperable land valuation data model designed as an extension of the national GDI Surv. Rev. (IF 1.66) Pub Date : 2020-06-06 Arif Cagdas Aydinoglu, Rabia Bovkir, Ismail Colkesen
The main purpose of this study is to propose an interoperable land valuation data model for residential properties as an extension of the national geographic data infrastructure (GDI) and to make mass valuation process applicable with the use of machine learning approach. As an example, random forest (RF) ensemble algorithm was implemented in Pendik district of Istanbul to evaluate the prediction performance
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Improved wavelet neural network based on change rate to predict satellite clock bias Surv. Rev. (IF 1.66) Pub Date : 2020-05-24 Xu Wang, Hongzhou Chai, Chang Wang, Guorui Xiao, Yang Chong, Xiaoguo Guan
To develop a high-accuracy method for predicting SCB based on the analysis of the shortcomings of the wavelet neural network (WNN) model, an improved WNN model to predict SCB is proposed herein. The activation function of the WNN is constructed by combining the advantages of Shannon and Gauss ‘window’ functions to improve the WNN. Finally, the improved WNN model is used to predict SCB. The results
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Design and development 3D RRR model for Turkish cadastral system using international standards Surv. Rev. (IF 1.66) Pub Date : 2020-05-12 Mehmet Alkan, Hicret Gürsoy Sürmeneli, Zeynel Abidin Polat
The concepts of three-dimensional cadastre (3D) and property ownership led to increased interest in land use management and research towards the end of the 90s. Within the scope of these studies, international standards and definitions have been realised. In Turkey, there are some academic studies available. However, there are not many studies conducted on an institutional basis. Turkey cadastre carried
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Cadastral updating: the case of Turkey Surv. Rev. (IF 1.66) Pub Date : 2020-05-12 Okan Yildiz, Çağrı Erden
Turkey has produced cadastral data using different methods until today. Therefore, not all the data are the same standard in quality. Three different methods (correction, digitisation and updating) have been applying for update. Choosing the right method will save significant time and cost. Also, surveying the fixed boundaries will give the most accurate results. However, this is not always possible
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Estimation of parameters of probability integral method model based on improved fireworks algorithm Surv. Rev. (IF 1.66) Pub Date : 2020-05-04 Lei Wang, Kegui Jiang, Tao Wei, Chuang Jiang, Jianfeng Zha, Shenshen Chi
How to accurately estimate the probability integral parameters based on the measured data has always been a difficult point in the application of the probability integral method. This paper introduced FWA into the solution of the probability integral method for the first time. Based on the analysis of strengths and weaknesses of FWA, IFWA (improved fireworks algorithm) was proposed. Then, the IFWA-based
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A highly adaptable method for GNSS cycle slip detection and repair based on Kalman filter Surv. Rev. (IF 1.66) Pub Date : 2020-04-29 Xianwen Yu, Siqi Xia
The cycle slip detection and repair are crucial steps in the preprocessing of GNSS carrier phase observation. Currently, however, there are few cycle slip detection and repair methods that can meet the data processing needs for diverse situations. To solve this problem, a highly adaptable cycle slip detection and repair method is proposed. First, a cycle slip detection equation is established using
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An adaptive filtering algorithm of multilevel resolution point cloud Surv. Rev. (IF 1.66) Pub Date : 2020-04-29 Youyuan Li, Jian Wang, Bin Li, Wenxiao Sun, Yanyi Li
The existing filtering methods for airborne LiDAR point cloud have low accuracy. An adaptive filtering algorithm is proposed which is improved based on multilevel resolution algorithm. First double index structure of Octree and KDtree is established. Then the initial reference surface is constructed by ground seed points. According to the slope fluctuation situation, the grid resolution of the ground
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Efficacy of the conventional deformation analysis based on different strategies on the design stage of the network Surv. Rev. (IF 1.66) Pub Date : 2018-12-06 Bahattin Erdogan, Utkan Mustafa Durdag, Serif Hekimoglu
In different Geodetic networks the observations are measured repetitively. These observations, called original observations, are independent. At the design stage of the deformation monitoring network, either the mean value of the original observations or the original observations may be considered. Conventional Deformation Analysis (CDA) is based on the ordinary Least Square Estimation (LSE) that uses
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A half-century of Baarda’s concept of reliability: a review, new perspectives, and applications Surv. Rev. (IF 1.66) Pub Date : 2018-11-22 Vinicius Francisco Rofatto, M. T. Matsuoka, I. Klein, M. R. Veronez, M. L. Bonimani, R. Lehmann
Over the 50 years of its existence, Baarda’s concept of reliability has been used as a standard practice for the quality control in geodesy and surveying. In this study, we analysed the pioneering work of Baarda (Publ Geod New Ser 2(4) 1967; Publ Geod New Ser 2(5) 1968) and recent studies on the subject. We highlighted that the advent of personal computers with powerful processors has rendered Monte
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On robust constrained Kalman filter for dynamic errors-in-variables model Surv. Rev. (IF 1.66) Pub Date : 2018-11-28 Vahid Mahboub, Somayeh Ebrahimzadeh, Mohammad Saadatseresht, Mehran Faramarzi
A robust Kalman filter algorithm is proposed to solve nonlinear errors-in-variables dynamic problems in the presence of outliers. This algorithm is robust constrained integrated total Kalman filter (RCITKF). The method iteratively reweights the predicted solution when the observable quantities are contaminated by gross errors (outliers). It can impose the quadratic constrains which may appear in some
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Assessment of the accuracy of DTM river bed model using classical surveying measurement and LiDAR: a case study in Poland Surv. Rev. (IF 1.66) Pub Date : 2019-12-01 Paweł Kotlarz, Monika Siejka, Monika Mika
The aim of this paper is to show that natural watercourses surveying gives the best results using integrated measurement methods (classical surveying and LiDAR). The paper contains comparison of the riverbed DTM results obtained using LiDAR data in relation to data derived from direct measurements. The paper involved the performance of appropriate tests on selected structures using integrated measurement
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Customary Land Rents Administration in Ghana: Emerging Discourse on Family Lands in the Upper West Region Surv. Rev. (IF 1.66) Pub Date : 2019-05-07 Samuel B. Biitir, E. D. Kuusaana
In Ghana, the constitution recognises stool land revenues as a principal source of funding local economic development. However, there has been a lacuna on the collection and disbursement of family land revenues. The study examines ground rent collection and disbursement on family land, revenue losses and the capacity of family landowners to assess and collect ground rents. The analyses show ground
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Modernisation of the Cadastre in Poland as a tool to improve the land management and administration process Surv. Rev. (IF 1.66) Pub Date : 2019-04-26 Monika Mika
The article describes a detailed analysis of the modernisation procedure for cadastral data in Poland in both theoretical and practical aspects. Modernisation of the cadastral system is an essential tool to ensure both the continuity in time and the timeliness of cadastral data. In Poland, the function of the Cadastre is served by a public register known as the Land and Building Cadastre which records
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Delineating minor landslide displacements using GPS and terrestrial laser scanning-derived terrain surfaces and trees: a case study of the Slumgullion landslide, Lake City, Colorado Surv. Rev. (IF 1.66) Pub Date : 2018-12-25 Jin Wang, Duo Wang, Shengqi Liu, Boyu Jia
Multi-temporal high-density terrestrial laser scanning (TLS) datasets are processed to delineating possible movements from terrain surfaces and trees. Terrain surface movements are estimated with the help of segmentation and random sample consensus (RANSAC) algorithm. Tree movements are interpreted by iterative closest point (ICP) solved translations and rotations of tree point clouds. The capabilities
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Applicability of knowledge innovation value chain model for the land administration system of municipality of Maputo in Mozambique Surv. Rev. (IF 1.66) Pub Date : 2018-12-11 Tarun Ghawana, Raul Cumbe, Joao Paulo Hespanha, Silvane Paixao, Andrea f. T. Carneiro
The knowledge innovation value chain (KIVC) model and land administration domain model (LADM) are applied for Mozambique. The study focus moving forward along the value chain using the conceptual components of LADM as the starting point to meet the societal and market demands by relevant ministry and Municipality of Maputo. The Municipality is developing an Integrated Municipal Management System (SIGEM)
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Study of usability of aerial images and high-resolution satellite images in cadastre renewal works in Turkey Surv. Rev. (IF 1.66) Pub Date : 2018-12-24 Fazıl Nacar, Hakan Karabörk, Tayfun Çay
If the usability of orthophotos of aerial images and high-resolution satellite images in cadastre renewal works is ensured, the state cadastre can be maintained and constantly updated. For this purpose, three pilot fields in Konya, Adana and Şanlıurfa were selected. In these fields, land surveys were made with a CORS method by using GPS. The coordinates were obtained by using orthophotos in Konya (1/2000
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Object-based geographical data model for determination of the cemetery sites using SWOT and AHP integration Surv. Rev. (IF 1.66) Pub Date : 2020-04-02 Yakup Emre Coruhlu, Volkan Baser, Okan Yildiz
While in the times of feudalism the land was a source of wealth, having only a financial value, today it has become valuable as a limited resource. It should not be forgotten land is becoming scarce, so it must be very well planned and managed. In order for cemeteries to be sustainable and effectively manageable, it is essential to collect, store and examine information related to these sites like
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Embedding the sustainability development goals in Survey Review’s remit Surv. Rev. (IF 1.66) Pub Date : 2020-04-02 Peter Collier
(2020). Embedding the sustainability development goals in Survey Review’s remit. Survey Review: Vol. 52, No. 373, pp. 287-288.
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A correlational inference-based unscented total Kalman filter for integrated navigation Surv. Rev. (IF 1.66) Pub Date : 2020-03-12 Hang Yu, Jian Wang, Bin Wang
An unscented total Kalman filter (UTKF) estimator with nonlinear dynamic errors-in-variables (DEIV) model is derived based on correlational inference. The proposed UTKF considers all random errors in both system and observation equations and is a Jacobian matrix free alternative to the existing TKF estimators. In particular, this estimator is applied to the inertial navigation system (INS)/ultra-wideband
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Estimators of covariance matrices in Msplit(q) estimation Surv. Rev. (IF 1.66) Pub Date : 2020-03-04 Z. Wiśniewski, M.H. Zienkiewicz
This paper proposes methods for the determination of covariance matrices of Msplit(q) estimators. The solutions presented here allow Msplit(q) estimation to be supplemented by the operations from the domain of accuracy analysis (especially that concerning estimators of parameters). Theoretical forms of covariance matrices of Msplit(q) estimators were established using the empirical influence functions
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An institutional analysis of land readjustment in Turkey Surv. Rev. (IF 1.66) Pub Date : 2020-02-25 Volkan Çağdaş, Hans Joachim Linke
Land readjustment is a property formation process which rearranges the geometries of cadastral parcels and immovable property rights thereof in accordance with land use plans. The literature presents several studies which analyze the effectiveness of land readjustment in various countries. This article aims to contribute to the existing work by presenting an analysis for the Turkish case study based
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Efficient point cloud corrections for mobile monitoring applications using road/rail-side infrastructure Surv. Rev. (IF 1.66) Pub Date : 2020-01-30 Hao Jing, Xiaolin Meng, Neil Slatcher, Graham Hunter
Light Detection and Ranging (LiDAR) systems are known to capture high density and accuracy data much more efficiently than other surveying methods. Therefore they are used for many applications, e.g. mobile mapping and surveying, 3D modelling, hazard detection, etc. However, while the accuracy of the laser measurements is very high, the accuracy of the resulting 3D point cloud is greatly affected by
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A practical method for calculating reliable integer float estimator in GNSS precise positioning Surv. Rev. (IF 1.66) Pub Date : 2020-01-29 Xianwen Yu, Siqi Xia, Wang Gao
To overcome the problem that a fixed estimator is contaminated by a system error for the ambiguity be misjudged in the GNSS precise positioning, a reliable integer float estimator is recommended. Accordingly, the method for determining a finite number of integer vectors based on a given reliability probability is proposed, the formula for calculating the variance matrix of the recommended estimator
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Calibration of CCD sensors mounted on geodetic measuring systems Surv. Rev. (IF 1.66) Pub Date : 2020-01-29 Lajos Völgyesi, Gyula Tóth
If the eyepiece of a total station is replaced with a CCD sensor, the most important task is to calibrate the instrument. Calibration establishes a connection between the readings on the horizontal and vertical circles of the total station and the readings in the coordinate system of the CCD sensor. Our calibration method uses a collimator in a few meters distance, which serves as a target at infinity
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Bias in least-squares adjustment of implicit functional models Surv. Rev. (IF 1.66) Pub Date : 2020-01-29 Michael Lösler, Rüdiger Lehmann, Frank Neitzel, Cornelia Eschelbach
To evaluate the benefit of a measurement procedure onto the estimated parameters, the dispersion of the parameters is usually used. To draw objective conclusions, unbiased or at least almost unbiased estimates are required. In geodesy, most of the functional relations are nonlinear but the statistical properties of the estimates are usually obtained by a linearised substitute-problem. Since the statistical
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Variations of precipitable water vapor using GNSS CORS in Thailand Surv. Rev. (IF 1.66) Pub Date : 2020-01-20 Chokchai Trakolkul, Chalermchon Satirapod
This research aims to analyze variation in a time series of Precipitable Water Vapor (PWV time series) using data at 11 widely-distributed Continuously Operating Reference Stations (CORS) in Thailand. In this paper, the PWV time series is estimated based on data from 2007 to 2015, used to monitor trends and seasonal variations. Significant annual variations of PWV are found at all GNSS stations, with
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Quality evaluation of linear inequality constrained estimation by Monte Carlo sampling in parameter space Surv. Rev. (IF 1.66) Pub Date : 2020-01-17 Songlin Zhang, Jingchang Li, Kun Zhang, Jie Han
Existing approaches that describe the quality of inequality constrained estimates are not sufficient to meet the demands of inequality constrained least-square problems. We reconstruct the existing Monte Carlo method by converting the sampling space from observation space to parameter space, and propose a workflow to improve the computational efficiency. The proposed method is verified by a straight-line
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Impact of observation sampling rate on Multi-GNSS static PPP performance Surv. Rev. (IF 1.66) Pub Date : 2020-01-12 Berkay Bahadur, Metin Nohutcu
The main objective of this study is to investigate the impact of observation sampling rate on the PPP performance, in terms of positioning accuracy and convergence time, under different multi-GNSS combinations. For this purpose, daily observation datasets collected at ten IGS-MGEX (International GNSS Service-Multi-GNSS Experiment) stations during the 1-week period of January 6-12, 2019 with 1-s, 5-s
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