Vestnik SGUGiT

The automation of the project documentation data processing and its integration into BIM models is considered in the paper. Particular attention is given to the data preparation phase that is conventionally regarded as the most time-consuming and resource-intensive step. The primary objective of the research is to achieve automation in BIM modeling through project documentation. The main tasks of the study are to automate data extraction from PDF drawings, their subsequent processing and conversion into a format suitable for use in BIM systems. The obtained results demonstrate that the developed tool can significantly reduce data processing time and improve the accuracy of their integration. The key conclusions drawn from the study indicate that the proposed tool simplifies and accelerates such processes as converting data from technical documentation, extracting textual and tabular information, verifying completeness and consistency, thereby enhancing the efficiency of creating component catalogs and mini-catalogs for pipeline systems, which contributes to increased design accuracy and reduced project timelines. This is particularly crucial when dealing with large volumes of data, where traditional methods may prove laborious and less accurate.

The influence of various factor modulation transfer function (MTF) on spatial and angular resolution of airborne imaging systems is investigated. It is noted that the spatial resolution of airborne imaging systems forming images is primarily limited by MTF turbulence, aerosol, optics and electronics. In this case a reasonable limit for improving the MTF optics and electronics is the MTF aerosol. A specific type of relationship between object distance and aerosol extinction coefficient, when the MTF aerosol reaches its minimum value, is demonstrated. It is recommended to avoid such conditions in practice.

The challenge of insufficient availability of high-resolution spatiotemporal data, a concern affecting not just geoinformatics, which heavily depends on statistical analyses, field surveys, direct observations, and satellite imagery, but also other subject areas that rely on spatially and temporally referenced data is discussed in the paper. To address this deficiency, the extraction of spatial data from ground-based imagery is proposed as a solution. A conceptual scheme for automated extraction of spatial data from these images taking into account their spatiotemporal context is presented. The authors discuss an experimental study carried out on Sakhalin Island, which validated the applicability of the proposed method for detecting and locating different types of fog formations at the Pushisty airfield. Using ground-based imagery and minimum of additional meteorological inputs (such as wind direction and air humidity), the experiment achieved notable results with an F1 score of 0.85 and an intersection over union measure of 0.74. The study examined the constraints and limitations of the proposed method, thereby delineating clear pathways for future research endeavors and technological advancements.

Challenges associated with geoinformation modeling of cultural heritage sites within the landscape architecture of Saint Petersburg are explored in the paper. The authors review current practices in constructing digital models of historic parks and highlight critical difficulties encountered during this endeavor. Special attention is given to the development of specialized methodologies for modeling park landscapes, which integrate both archival documentation and contemporary survey data. The study highlights the importance of synthesizing diverse and heterogeneous data sources to achieve accurate digital reconstructions. These methodological innovations have significant practical implications for the preservation of cultural heritage and the sustainable management of urban green spaces. As such, the findings offer valuable insights for professionals involved in monument conservation and urban planning.

Today remote sensing techniques play a crucial role in evaluating the state and use of forestlands, with GIS emerging as key tools. The authors analyze up-to-date technologies for forest land monitoring and explore the potential applications of the GIS Google Earth. Taking the territory of Nazyvaevsky Forestry Department under the Main Directorate of Forestry of Omsk Region as a case study, an analysis on the current state and usage of forestlands by employing GIS Google Earth technology was conducted. The findings from the research provide insights for developing critical management decisions, reforestation initiatives, forecasts, predictive modeling efforts, and contribute to accurate mapping resources.

The methodological principles underpinning the three-dimensional identification of real estate objects are examined in the study. The primary objective is to establish a comprehensive system of principles that facilitate the development and implementation of 3D cadastral accounting in Russia. Through a rigorous analysis of relevant national legislation alongside international best practices, five fundamental principles were delineated. The principles enable the systematic updating, verification, and organization of spatial cadastral data, while promoting the application of scientifically grounded methodologies in real estate management. Each principle is theoretically substantiated, with an emphasis on its pivotal role in the progressive transition from traditional 2D to advanced 3D cadastre. Consequently, this study proposes a conceptual framework comprising five interrelated methodological principles that form the foundation for a 3D cadastre. At the core of this framework lies the principle of consistency, which ensures an integrated approach to cadastre maintenance by harmonizing spatial, attributive, and legal data within a unified information model.

The article is devoted to the urgent problem of creating a University's integrated digital research infrastructure (DRI) supporting fundamental and applied research in the field of geoinformatics and spatial analysis. With the rapid growth of geospatial data and expansion of its application possibilities, the need to create such an ecosystem is becoming essential for improving the efficiency of scientific activities and educational process. The lack of a unified platform leads to data fragmentation, duplication of efforts and limited opportunities for interdisciplinary research. The proposed concept outlines the architecture of a University's geospatial DRI focusing on three core components: Geo-Monitor, Geo-Prototype, and Geo-Polygon. Geo-Monitor is responsible for collecting, storing, processing, and visualizing geospatial data, ensuring researchers and students have access to up-to-date information. Geo-Prototype serves as a development and testing environment for geographic information models and algorithms, enabling virtual experiments and scenario simulations. Geo-Polygon encompasses a suite of services and applications that provide users with tools for spatial analysis, modeling, visualization, as well as real-world physical sites for field-based investigations. The authors provide a detailed description of each component functionality, its interrelation with other elements, and mechanisms for user interaction. Special emphasis is paid to integrating the DRI into the existing university ecosystem and exploring opportunities for future functional expansion. A number of application examples of the developed ecosystem are presented in the paper. It is concluded that the proposed geospatial DRI holds significant potential for improving both research and educational outcomes, and addressing critical challenges related to sustainable spatial development. Implementing the developed components within the University framework fosters integration between fundamental and applied research and creates an optimal environment for training highly skilled specialists in the field of geographic information science and spatial analytics.

Master plans are established over long-term horizons to underpin land use arrangements, guide investments, and shape urban development strategies. However, their judicial cancellation frequently gives rise to serious legal and socioeconomic challenges, particularly regarding safeguarding the rights of those who have acted upon these territorial planning guidelines. This study employs an interdisciplinary framework that synthesizes both abstract norm control and empirical insights into land tenure law enforcement. It advances recommendations for refining legislation so as to enhance equity and predictability in urban governance.