Starting from 2016, the raw Global Navigation Satellite System (GNSS) measurements can be extracted from the Android Nougat (or later) operating systems. Since then, GNSS smartphone positioning has been given much attention. A high number of related publications indicates the importance of the research in this field, as it has been doing in recent years. Due to the cost-effectiveness of the GNSS smartphones, they can be employed in a wide variety of applications such as cadastral surveys, mapping surveying applications, vehicle and pedestrian navigation and etc. However, there are still some challenges regarding the noisy smartphone GNSS observations, the environment effect and smartphone holding modes and the algorithm development part which restrict the users to achieve high-precision smartphone positioning. In this review paper, we overview the research works carried out in this field with a focus on the following aspects: first, to provide a review of fundamental work on raw smartphone observations and quality assessment of GNSS observations from major smart devices including Google Pixel 4, Google Pixel 5, Xiaomi Mi 8 and Samsung Ultra S20 in terms of their signal strengths and carrier-phase continuities, second, to describe the current state of smartphone positioning research field until most recently in 2021 and, last, to summarize major challenges and opportunities in this filed. Finally, the paper is concluded with some remarks as well as future research perspectives.
We study the role of Dutch colonial institutions on urban development for the megacity of Jakarta, Indonesia. Using historical maps of Dutch settlements and a rich granular database, we implement a boundary discontinuity design comparing locations on either side of Dutch boundaries. We find that historical Dutch areas today have significantly lower parcel density, are more likely to have formally registered parcels, and have more regular parcel layout, pointing to the importance of planning and cadastral mapping. Dutch settlements are also more likely to appear formal, as per a photographic index that ranks the appearance of neighborhoods. We highlight the role of land market institutions over alternative channels, such as direct Dutch investments or natural advantage
Aliqulov G‘olib Nartoshevich, Toshpo’latova Zebiniso Abbos Qizi, Nortoshov Asilbek G‘olib O‘g‘li
Purpose: The aim of this study is to analyze the legal, technical, and organizational aspects of accounting for settlement lands, with a specific focus on the Mirishkor district. It seeks to assess how settlement lands are classified, distributed, and managed, and to identify current challenges in maintaining accurate land records. Research methodology: The research applies geostatistical analysis, geospatial object mapping, remote sensing, cartographic tools, and algorithmic approaches. These methods are used to evaluate land use distribution, monitor settlement expansion, and improve land accounting systems. Results: The findings reveal that Mirishkor district contains 16,359 household plots totaling 4,494 hectares, with an average size of 0.27 hectares per plot. Of this, 797 hectares are occupied by residential buildings. The study recommends implementing a unified geospatial cadastral system, improving the address registry, and digitizing land accounting processes to better monitor and manage settlement lands.
J. Tekavec, U. Drescek, Erna Flogie Dolinar
et al.
Abstract. Incorporating detailed 3D building data into national spatial data infrastructures (SDI) is associated with numerous technical and administrative challenges. This paper presents and discusses the challenges that have emerged within recent 3D mapping initiatives in Slovenia. The increasing availability and affordability of LiDAR and photogrammetric technologies have enabled the automated generation of comprehensive 3D building datasets. Despite these technological advancements, several difficulties arise in integrating these datasets with existing cadastral and topographic databases. Primary challenges include discrepancies in spatial accuracy, outdated building outlines, semantic inconsistencies, and varying classification methodologies among datasets. Moreover, maintaining these integrated datasets is complex due to differing update cycles across cadastral and topographic systems. Cadastral data requires rigorous administrative processes for updates, while 3D modelling of buildings typically relies on automated procedures. Additionally, the legal status of cadastral data further complicates the integration. The challenges identified in the case of Slovenia can largely be generalised to systems in other countries, highlighting the necessity for strategic planning in data integration processes, considering both technical specifications and administrative frameworks, to use the full potential of 3D building data within national SDIs.
The increasing use of Unmanned Aerial Vehicles (UAVs) in mapping and surveying has necessitated a comprehensive understanding of their vertical accuracy performance. The use of UAVs in mapping projects has rapidly expanded due to their efficiency, cost-effectiveness, and high spatial resolution. Vertical accuracy, a critical criterion for UAV-derived Digital Elevation Models (DEMs) and orthophotos, influences their use in applications such as cadastral map production, environmental monitoring and infrastructure inspection, and digital elevation model production. Factors affecting vertical accuracy include sensor resolution, ground control point (GCP) distribution, and flight altitude. This study provides valuable information for professional UAV practitioners seeking to optimize vertical accuracy in photogrammetric projects and photogrammetric workflows. This article examines recent developments in vertical accuracy studies in UAV photogrammetry worldwide, analyzing the factors affecting accuracy, survey methodologies, and comparative performance in different geographic regions. A comprehensive table combining vertical Root Mean Square Error (RMSE) values from multiple studies highlights trends and challenges. Recommendations for optimizing vertical accuracy in UAV mapping are also provided
Y. Dorosh A. Tarnopolskyi O. Dorosh R. Kharytonenko D. Melnyk
The focus is placed on the necessity of classifying lands and land parcels affected by military actions in Ukraine and establishing restrictions on their use. The study identifies the fragmented nature of legal regulation and the absence of a comprehensive approach to determining the legal regime of lands impacted by warfare. A synthesis of scientific literature on land classification has served as the foundation for developing the theoretical framework of a classifier for war-affected lands.
The historical experience of managing war-affected lands is analyzed through the examples of the French Republic and the Federal Republic of Germany, which rely on scientific approaches to classifying damaged territories and guiding their recovery. The importance of establishing a classification system for lands affected by military actions is emphasized as a critical component in designing effective strategies for their rehabilitation.
A classification system for war-affected lands is proposed, comprising five main categories: physically disturbed lands, littered lands, contaminated lands, mined lands, and lands with mixed contamination and debris. A detailed structure of the classifier is presented, describing the types and subtypes of affected lands, classification levels based on damage severity, the complexity of reclamation, and restrictions on future land use. The proposed classifier structure takes into account all relevant criteria and contributes to the development of effective measures for land restoration.
Olimjon Allanazarov, Kamolaxon Erkinova, Ulugbek Karabekov
et al.
Abstract. Remote sensing serves as a fundamental tool for the creation and regular updating of cadastral maps. In the era of digital technologies, the integration of data obtained from unmanned aerial vehicles (UAVs), satellites, and multispectral sensors significantly enhances the precision and efficiency of cadastral activities. Remote sensing systems encompass advanced methods such as photogrammetry, geographic information systems (GIS), geoinformatics, and statistical modeling, contributing to comprehensive spatial data analysis. The implementation of a phased approach to digital mapping—at national (1:100,000), regional (1:10,000), and local (1:2,000) scales—forms the basis for the systematic maintenance of state cadastres. This study highlights the importance of remote sensing in acquiring high-resolution, reliable data for sustainable land management and effective cadastral planning.
Archaeological heritage sites are a special object of real estate; they have a particular legal status and state protection issues. This article describes the state cadastral registration of archaeological monuments and sites, as well as the function of the state cadaster in their protection by the state. The registration procedure for state protection includes a number of measures. For instance, land plots that contain an archeological monument in their boundaries are subject to encumbrance or restriction of ownership rights. Certain information about cultural heritage sites cannot be published openly if the site enters the Unified State Register of Cultural Heritage of the Nations of the Russian Federation. The author how the Kemerovo Region and other regions register their archaeological monuments and sites in the Russian State Register (Rosreestr), the State Land Registry (Roskadastr), and the Unified State Register of Real Estate. The current procedure for state cadastral registration needs some improvements in relation to archaeological heritage sites. Under the modern conditions, the ban on publishing the location of archaeological sites is ineffective.
This article investigates the intersection of Artificial
Intelligence (AI) with the space economy
and its profound geopolitical implications.
Artificial intelligence is increasingly powering
space missions, satellite networks and resource
utilization, thereby reshaping the global landscape
of the space industry.
AI-driven advances are fueling economic opportunities
and competition among nations in
space-related sectors and the resulting geopolitical
effects. From satellite services to lunar and
Martian exploration, AI is poised to become a
driving force in shaping the balance of power
in the space arena, making it a critical topic for
policymakers, strategists and industry leaders.
In recent years the role of preventive archaeological
investigations - and consequently
that of archaeologists -in territorial
and urban transformation became more
and more important; On the other hand,
the time allocated to archaeological investigation
is often severely compressed: so, it
is essential to exercise targeted and effective
action and, even more so, to have in-depth
knowledge of the context on which the
project impacts. The National Geoportal
for Archaeology is a useful tool, making
archaeological data available for consultation
and free reuse. Its usefulness is growing
every day, thanks to recent provisions that
provide for the use of the GNA as a standard
for the delivery of minimum data for all
archaeological investigations.
Alexey Kulchytskiy, Roman Aleshko, Alexander Fomin
et al.
When forming market relations in countries with developing economies, the cadastral valuation of real estate is not only a way to build mathematical models. In this case, an important role is assigned to sources of information for building reliable statistical models that take into account the interference properties of real estate objects. The choice of the method of cadastral valuation is assigned to highly professional specialists with relevant experience. In this regard, the purpose of this research on the values and relationships between the market and cadastral value of the property is to determine their impact on the way to determine the tax base for property taxes. Throughout the study, the proposed measures allow for the calculation of cadastral value, first, to streamline the current system of valuation formation. Besides, the use of the correction factor will allow payers to establish fairness in the taxation of property taxes, since the cadastral value is determined by different interferential approaches, using various influence factors in the models. Comparative method, Cost method, Revenue method, and Combination of the proposed methods are utilized. Given the results, these proposals are relevant, especially in the current conditions of COVID-19's influence on all economies, as well as on the business climate of business structures, since due to macroeconomic factors it is taking a downward trend.
Станом на сьогодні можна констатувати, що значне антропогенне навантаження та урбанізація сприяє тому, що з кожним роком в Україні зменшується питома вага сільськогосподарських угідь. Значна кількість сільськогосподарських угідь вилучається для будівництва житла, особливо це помітно навколо великих міст. Сюди також варто додати ті землі, які вилучаються для несільськогосподарських потреб, зокрема для будівництва доріг. Таким чином, вищезазначені фактори впливають на зниження сільськогосподарського потенціалу України.
З метою удосконалення економічного регулювання урбанізації сільськогосподарських земель в Україні проаналізовано еволюцію законодавства Української РСР та України щодо втрат сільськогосподарського та лісогосподарського виробництва. Проведений аналіз законодавчих актів стосовно втрат сільськогосподарського та лісогосподарського виробництва свідчить про те, що за досить довгий час, так і не було запропоновано дієві механізми та методику їх відшкодування, внаслідок чого із Земельного кодексу України у 2022 році вилучене поняття «втрати сільськогосподарського виробництва».
Автором запропоновано повернути до законодавства поняття «втрати сільськогосподарського виробництва» та затвердити новий порядок відшкодування втрат, враховуючи сучасні реалії України.
Ключові слова: втрати сільськогосподарського виробництва, втрати лісогосподарського виробництва, законодавство, сільськогосподарські землі, відшкодування.
Piena operatività delivery in Cina, esperimenti in USA e a Milano. Il fondamento dell'impianto cartografico 3D si fa stringente, necessario e improrogabile
The potential for introducing voluntary citizen participation, combined with mobile services, for cadastral data collection for a systematic first registration has been thoroughly investigated and even implemented in some official projects. This data collection procedure can technically be ac-complished safely, but results have shown that many participants have difficulty in identifying the land parcels (location, shape and size) on the base-map (orthophoto, air-photo, etc.) correctly. Either they have to ask the assistance of a private professional, or there is a high risk that a number of errors may appear in the submitted crowdsourced data. This paper investigates how to improve the quality of such crowdsourced cadastral data, by adding to the base-map any available and relevant geospatial and descriptive information that may help the participants to correctly identify their land parcel. In particular, the research investigates and suggests (a) which types of available geospatial information should be added to the base-map and by whom (professionals or a group of trained volunteers), and (b) the necessary quality controls that must be made in the compilation of the advanced crowdsourced base-map—a case study follows to assess the suggested proposal. In addition, this paper provides an updated version of the crowdsourced methodology for cadastral surveys as modelled by the authors in an earlier stage of their research. This updated version briefly includes all quality controls needed to ensure the quality of a modern cadastre that the authors will further investigate in a subsequent stage.
To have an accurate and unambiguous definition of time is a matter not only for scientists
and experts. A universally recognized and very accurate reference time is in fact at the
base of most infrastructures of our society. All cellular and wireless networks, for example,
are based on careful synchronization of their nodes and base stations (obtained receiving
GNSS signals, as we will see). The same is true for electric power distribution networks.
Surprisingly, even financial transactions and banking and stock markets all depend on
an accurate time reference, given the extreme volatility in equity and currency markets,
whose quotations might vary within a few microseconds. The history of the measurement
of time is as old as the history of human civilization. But the major impetus for the
development of ever more accurate techniques for measuring time came from the need to
determine one's position (particularly longitude) aboard a ship in the open sea. In 1761,
a self-educated Yorkshire carpenter and amateur clock-maker named John Harrison built
a special mechanical clock to be loaded on board ships, called the “marine chronometer”,
capable of losing or gaining no more than one second per day (an incredible accuracy for
that time). From then on, time and positioning became irreversibly connected.
Donatella Dominici, Maria Alicandro, Donato Di Ludovico
et al.
This work shows the processing of additional information using high and medium-resolution multispectral satellite
images. The new information obtained from specific spectral indices will converge with the data obtained from
official sources in a single database, thus constituting a real parametric model of the city under study. An extended model
of urban planning called “CIM” (City Information Modeling) will be developed, to which it is possible to associate
information of different nature, which helps to monitor and manage the city.
Raisa Kozhukhіvska, Mikhail Shemyakin, Irina Udovenko
et al.
The aim of the article is to study, analyze and develop methods of the land cadastral valuation activity in the implementation of the procedure on revaluation of land facilities and operational adjustments, as well as to upgrade land evaluation results as a constantly functioning system for the effective planning of business activities for Cherkasy region in The aim of the article is to study, analyze and develop methods of the land cadastral valuation activity in the implementation of the procedure on revaluation of land facilities and operational adjustments, as well as to upgrade land evaluation results as a constantly functioning system for the effective planning of business activities for Cherkasy region in Ukraine. The cadastral evaluation must consider the market situations and trends the most. Frequency terms of the cadastral valuation for each of land categories and groups should be reviewed and individualized. The article analyzes the mechanism and features of types of work on updating the state cadastral land valuation in populated localities in Ukraine, in particular of Cherkasy region, for the first time. The authors found that the main drawback of types of work on the economic model of cadastral land valuation in populated localities is the duration of time intervals between rounds of the revaluation that causes a rapid information aging. The reason for this situation is related to the financial support of types of work and their large scale. The practical importance of research consists in conducting the revaluation (updating) of cadastral of land condition by Uman, as one of the most important objects of trade and consumer services in Cherkasy region in Ukraine. The cost of one square meter of such objects will increase, which will allow to increase the tax component in proportion and increasing profitability of budgets at the cluster level owing to actualization of the specific indicator of the cadastral value.
More and more historical data are available on the web. In France, old cadastral maps are regularly published by the “départements”. Such material is relevant to various applications (on-the-field search of specific objects such as old boundary stakes, historical studies of demography, human activities, land cover…). The GeF laboratory is working on the development of a complete methodological toolchain to vectorise, correct and analyse cadastral parcels and their evolution, using open source software and programming language only (QGIS, GDAL, Python). This article details the use of a part of this toolchain - georeferencing old cadastral data - on parcels located near the Loir river, in two villages of southern Sarthe: Vaas and Aubigné-Racan. After a presentation of our methodological toolchain, we will discuss our first results.