AUTOMATED MAPPING IN LAND MANAGEMENT

Abstract

The article explores the current trends, challenges, and prospects of automated mapping in land management, focusing on the increasing demand for high-precision, up-to-date cadastral information. Traditional cartographic methods, based on manual data processing and analog technologies, are labor-intensive and time-consuming, often leading to inconsistencies and inaccuracies.
Automated mapping is an important direction in the development of modern geographic information systems and technologies in land management. The introduction of automated methods allows to significantly increase the productivity, accuracy and reliability of cartographic work, as well as to ensure the prompt updating of cartographic information.
The study emphasizes the advantages of automated mapping through the integration of modern geoinformation technologies, including remote sensing (RS), global navigation satellite systems (GNSS), geographic information systems (GIS), and unmanned aerial vehicles (UAVs). These technologies significantly enhance the efficiency, accuracy, and reliability of spatial data collection, processing, and visualization.
The article reviews recent scientific studies on the application of automated methods for processing remote sensing data, including aerial and satellite imagery, in the creation and updating of cartographic materials. Special attention is given to the use of UAVs for high-precision orthophoto mapping and 3D terrain modeling. The research also highlights the importance of ensuring data compatibility and consistency between various sources, such as cadastral registers, GPS measurements, and geoinformation resources.

Furthermore, the study addresses the regulatory and legal aspects of automated mapping in land management, analyzing key legislative acts and government regulations in Ukraine that define the standards for cadastral mapping and land use planning. It discusses the necessity of implementing automated data validation and quality control procedures to improve the credibility of cartographic information.
The article concludes by identifying key benefits of automated mapping, including increased accuracy, reduced costs, faster data processing, and improved decision-making in land management. It provides recommendations for the integration of advanced geoinformation technologies in land administration, ensuring the timely and reliable update of cadastral data, optimizing land resource management, and supporting sustainable land use planning.