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  Subjects -> GEOGRAPHY (Total: 493 journals)
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Journal of Geodesy and Geoinformation
Number of Followers: 2  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2147-1339 - ISSN (Online) 2667-8519
Published by UCTEA Homepage  [1 journal]
  • The evaluation of non-registered parts in the zoning plans and land
           readjustments

    • Authors: Murat Selim ÇEPNİ
      Abstract: The areas described as "un-owned" in 715th article of the Turkish Civil Code (TMK) are excluded from registration and restriction in accordance with 16th article of the Cadastre Law, and if they are subject to registration, they are required to be registered by administrative means in accordance with 22nd article of the Cadastre Law. While non-registered areas are also encountered in the Land Readjustment’s article (18th) in the Zoning Law numbered 3194, in the regulation dated 2020 (LR Regulation), it is stated that non-registered areas are registered in the name of the Treasury, and the principles of their arrangement are defined. Moreover, the necessary condition for the registration of non-registered places is the existence of real rights according to 999th article of the Civil Code and the circular numbered 2013/11 of the General Directorate of Land Registry and Cadastre (TKGM) in which it is considered as being included in the zoning plan provides the registration-inducing real right provision. However, the source of real rights is not the existence of the zoning plan, but the decisions brought by the zoning plan, which is the regulatory action. In this case, the form of registration differs significantly. In this article it was aimed to discuss the opinions of TKGM2013/11 circular and to define the concepts correctly, and an approach based on main idea was developed. Besides, evaluation of the non-registered areas in land readjustments according to LR Regulation is also included in the article.
      PubDate: Tue, 01 Nov 2022 00:00:00 +030
       
  • Web-NDefA: Open source GNSS based deformation analysis platform

    • Authors: Mehmet BAK; Rahmi Nurhan ÇELİK
      Abstract: Deformation analysis, one of the main research areas of geodesy, plays an important role for human safety. It is extremely important to determine the horizontal and vertical position changes and deformations due to the movements of the earth's crust and to take preventive measures against possible disasters accordingly. Identifying crustal deformation studies is considered as one of the important issues that scientists are trying to solve. Scientists have to devote a large part of their time to solving this problem. However, the increasing interest in crustal movements and rapid developments in technology have made it necessary to use new software in deformation analysis. Here, a web application has been developed using open source software for static deformation analysis so that expert engineers who are interested in monitoring and analyzing deformations can access evaluation software more easily and make their analysis easier. In this way, every person or institution that wants to organize geodetic data within the scope of 3D deformation analysis and access the results to be obtained from these data quickly, accurately and completely when necessary will benefit from this application. In this context, primarily HTML (Hyper Text Markup Language) and CSS (Cascading Style Sheets) applications were made to create the web platform. In addition, deformation analysis applications were developed with Javascript, one of the client-side programming languages. In order to use this program, first, the ASCII (American Standard Code for Information Interchange) file of the base solutions in a period is obtained from the Leica Geo Office program and transferred to the application. With these base solutions, the periods to be compared in the web application are selected and the deformation analysis is performed. As a result, in this study, the prepared web application will be evaluated with a data set and information about the technical infrastructure of the platform will be given. Thus, a new dimension will be added to the platforms used in deformation analysis and static deformation analysis results that users may need will be presented visually.
      PubDate: Tue, 01 Nov 2022 00:00:00 +030
       
  • Comparative analysis of online geocoding services in monitoring COVID-19
           patients

    • Authors: Batuhan KILIÇ; Fatih GÜLGEN, Ali KOCATAŞ, Mert GÜRTÜRK, Perihan ABAY, Yalçın YILMAZ, Gülden ANATACA
      Abstract: Address and location information are the fundamental elements that facilitate mobility. Location-based applications serving in areas such as health, logistics and transportation management employ address information that points to a geographic referenced location. Global map platforms such as ArcGIS Online, Bing Maps, Google Maps, HERE Maps and Yandex Maps serve users by performing the geocoding process, which is the between addresses and geographic locations. Geocoding services play a vital role in the rapid display of epidemic information, spatial tracking of reported cases and control processes in the spatial analysis of infectious diseases such as COVID-19 around the world. Therefore, the objective of this study is to reveal the quality of outcome products offered by online geocoding service providers that can be used for monitoring COVID-19 patients. The comparison of the services was carried out using experimental methods, depending on the match rate, positional accuracy and error sources offered by the services. The results revealed that Yandex Maps online geocoding service was more successful than other services and was a reliable source for public health issues.
      PubDate: Tue, 01 Nov 2022 00:00:00 +030
       
  • Classification of photogrammetric point cloud data with machine learning

    • Authors: Muhammed Enes ATİK; Ömercan GÜNGÖR, Engin KESKİN, Zaide DURAN
      Abstract: Today, thanks to the development of science and technology, the three-dimensional earth reality has been modeled and a new page has been opened in map production. Especially with the development of photogrammetric methods, point clouds have started to be used in many areas. Extraction of information from point clouds has become important with the growth of data sizes and the spread of usage areas. Since point cloud data consists of a large number of points, learning-based approaches have been used to classify these data. When learning-based approaches are used for the classification process, the distinguishability of the objects in the point cloud from each other increases and provides convenience and reliability for studies. The usage of machine learning, which has powerful mathematical algorithms, comes first in order to analyze complex data. Within the scope of this study, point cloud data was produced by using aerial photographs taken from unmanned aerial vehicle of the region determined in Istanbul Technical University Ayazağa Campus and classified according to four classes (building, tree, vehicle and ground level objects). This classification process has been done by using Random Forest (RF) and Multi-Layer Perceptron (MLP) algorithms from machine learning algorithms. The overall accuracy was 78.54% with the RF algorithm, and 89.88% with the MLP algorithm.
      PubDate: Tue, 01 Nov 2022 00:00:00 +030
       
  • Indoor navigation network models: A comparative investigation

    • Authors: Atakan BİLGİLİ; Alper ŞEN, Melih BAŞARANER
      Abstract: Nowadays, the use of outdoor navigation applications is quite common. For indoor navigation, this case is still an emerging application due to the lack of use of a standardised positioning equipment, higher costs, accuracy issues, the more complex structure of indoor spaces and the fact that a comprehensive network model to support indoor navigation for floor-level paths and non-level paths and the studies on the computation of routes are not fully developed yet. Due to the degree of complexity of indoor spaces vary depending on the non-standard structures of buildings and the freedom of movement capability is in a wide spectrum, different navigation networks can be generated. In this study, the Medial Axis Transform (MAT) based methods and the Visibility Graph (VG) based network model that originates from isovists theory which are the prominent navigation network models in the literature are generated in the building information modelling of Yildiz Technical University Civil Engineering Faculty building by utilizing the two-dimensional floor plans of the building and a new approach is proposed based on the VG model by restricting the line of sight between sub-corridors of indoor space and combining it with the MAT. The usability of these navigation network models is compared in terms of the shortest distance and the fewest turns made on the route. The findings of the experimental study showed that the VG based network model which is shown in previous studies to be correlated with human perception enables a mean of 1.17 m shorter distances and 0.20 times fewer turns than the compared routes compared to closest network model. The statistical tests demonstrated that the proposed hybrid approach does not differ significantly from VG thus can be used instead of VG based model for various scenarios.
      PubDate: Tue, 01 Nov 2022 00:00:00 +030
       
  • Review of the Turkey spatial planning system for developing the land
           administration domain model planning package

    • Authors: Okan YILMAZ; Mehmet ALKAN
      Abstract: Spatial plans include land use and structuring decisions aimed at ensuring sustainable development, which emerge from the evaluation of many sectorial policies. Spatial plans bring many rights, restrictions and responsibilities (RRR) on privately owned lands and public use areas in terms of construction and use. The Land Administration Domain Model (LADM) is a standard published by ISO and deals with RRRs affecting land and their geometric components in land management. It aims to present a standard conceptual model and common ontology. There are many factors that affect the land and land use. Although there are several factors, the countries' land registry and cadastral systems are used while representing the RRRs affecting the land in the model, other facts containing many RRRs are not included. Except land registry and cadastre system, there are taxation procedures, various contract, legal document and spatial plan that create RRRs on property. Within the scope of the study, spatial plans have been examined as they contain a wide variety of RRRs and have a strong relationship with the land administration. This study aims to obtain outputs that will create a spatial planning package to integrate Turkey into the country profile of the LADM. In this direction, the legal bases, sample spatial plans, plan notes and official documents were examined, and the spatial plans were classified, and the information they represented was obtained. The results were analyzed, and it was concluded that sufficient infrastructure information was provided to create a spatial planning package within the LADM.
      PubDate: Tue, 01 Nov 2022 00:00:00 +030
       
 
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