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This article analyses land accounting as part of the State Land Cadastre of Ukraine. It has been proven that, under modern conditions, cadastral accounting can become a reliable basis for soil monitoring in Ukraine. The indicators of land quality accounting and regulations in the field of land protection and reproduction of soil fertility are analysed. The article proposes criteria for land cadastral accounting based on a study of the qualitative state of agricultural lands in a separate region. Factors for ensuring sustainable land use are singled out, taking into account the needs of agricultural production. It has been proven that regular monitoring of land use helps identify problems in time for effective management and optimal use of land. The purpose of the study was to create a system of land cadastral accounting indicators based on best practices and available indicators. The main purpose of this mechanism is to compare and evaluate the land accounting criteria of Ukraine. The materials of the research are land cadastral data built on methodical methods of synthesis and analysis of individual elements. The research methodology consisted of three stages: 1) identification of a number of factors characterizing land quality accounting as a basis for effective monitoring of land; 2) analysis of the methodical basis of land accounting, determination of cadastral accounting indicators; 3) identification of the most optimal land accounting criteria for rational use and land protection using correlation-regression analysis. As a result of the conducted research, it was established that there are a significant number of approaches to accounting for the quality of land in Ukraine, but there is still no unified system of them. The proposed model of accounting for the quality of land in Ukraine will provide a solution to problems of the components of land cadastral accounting as a basis for effective land use. [ABSTRACT FROM AUTHOR]

The study delves into a pivotal realm of rural infrastructure management by scrutinizing the efficacy of diverse building survey methodologies. The assessment encompassed laser scanning, total station surveying, and smartphone-enabled LiDAR, encompassing a meticulous evaluation across key dimensions: accuracy, economic cost, and time efficiency. The overarching objective was to pinpoint the most optimal surveying approach tailored for rural landscapes, considering the delicate equilibrium between cost-effectiveness and precision. The study findings illuminate a multifaceted landscape of trade-offs inherent in these methodologies. The findings revealed that the Total Station method, utilizing the GEOMAX ZOOM 10 (2”), emerged as the most expensive among the building measurement techniques, with a cost of 185.04 euros. However, it demonstrated the highest accuracy with an RMS (Root Mean Square) value of 0.0135 m. In contrast, Laser scanning employing the Leica ScanStation C10 had a cost of 149.85 euros, with an RMS value of 0.0205 m. The Lidar method using the iPhone 13 Pro, while being the third most expensive at 128.48 euros, exhibited a comparatively lower accuracy with an RMS value of 0.1694 m. By navigating the intricate interplay between economic considerations and the imperative for precise infrastructure management, this study endeavours to foster sustainable, efficient, and economically viable approaches in rural infrastructure development. The insights garnered herein endeavour to bridge the gap between precision and financial prudence, fostering a pragmatic balance in survey method selection for rural infrastructure initiatives. [ABSTRACT FROM AUTHOR]