Scientific and technological progress does not bypass any industry, including the agro-industrial complex. With the development of technologies for remote sensing of the Earth, obtaining relevant information about the availability of objects of their condition and use, the introduction of advanced technologies and modern equipment in agriculture, the automation of land management processes, including land management, becomes urgent. Analysis of existing geoinformation systems allows us to conclude that the task of geoinformation support of land management in full in the form of an independent geoinformation system is absent. At the same time, in the considered complexes, there is a solution to certain land management tasks, such as the creation of digital maps of fields, anti-erosion organization of the territory, the construction of digital relief models, correction of soil maps based on satellite images, etc. The purpose of the article is to analyze information sources in the field of geoinformation support of the land management process in the Republic of Belarus, to identify tasks for the development of a comprehensive methodology for the implementation of digital land management in the Republic of Belarus.

Having analysed research results, it is ensured that sustainable land use of US agricultural lands for the support to farmers to improve the efficiency of their major activities and adherence to the principles of soil protection and rational land use in farms. An analysis of the American experience allows us to make conclusions that the success of the process of improving land relations depends on the level of their scientific validity, the degree of balance of government regulation and the degree of coordination of participants’ interests in transformations and land market transactions. Land lease in the United States of America as one of the economic methods of land use regulation has been analysed in the article. It has been established that long-term lease relations are beneficial for both parties concerning soil improvement and pollution control in case of clear legislation. Having analysed foreign experience, the main measures of land use rationalization in the USA, which people can use in Ukraine, have been proposed. It is also possible to implement the US experience in actively controlling the ecological condition, intended use and other quality characteristics of agricultural land to improve regulation of land use in Ukraine. After analysing the measures for land protection in the United States, taking into account the considered and researched American experience of agricultural land use, ways to improve the existing system of use and protection of agricultural land in Ukraine are proposed.

Ukraine is one of the countries where the problem of waste management is particularly acute and deteriorating every year. The Regional Waste Management Plan in Volyn region by 2030 envisages a reduction in the total amount of landfilled waste from 97.68% to 30%, and the number of sites for their disposal – up to 4–8 regional landfills per region. Ecological-economic mechanism of solid non-hazardous waste (SNHW) management is based on a harmonious combination of environmental constraints with the economic attractiveness of regional landfills and involves working with geographically defined objects based on the use of methods of processing geospatial information, one of which is mathematical-cartographic modelling. Thus, the main purpose of this work is to substantiate the possibilities of applying the method of mathematical-cartographic modelling in the design of the system of regional landfills of SNHW in the Volyn region. In order to address the issue of placement of SNHW management facilities, the territory of the region is divided into four management clusters. The division of the territory took into account the composition, properties, methods of solid waste collection, logistics, load on waste processing complexes, volumes of waste generated, spatial planning, etc. Three probable options for the location of regional landfills have been developed for the Lutsk SNHW cluster. The results of the study can be used in the development and adjustment of regional plans, waste management programs, as well as in the work of the executive bodies of the united territorial communities.

The construction sector is linked to the general development of a country. There is a lot of data scattered and not properly explored in relation to the buildings constructed. However, if these scattered data on the behaviour of the real estate market are organized, combined with knowledge of civil engineering, this merger of information can mitigate some evaluation problems, especially those that are overvalued for unknown or dubious reasons. Thus, there is a need for models capable of working with limited data to analyse the causal relationships between explanatory variables and sales prices and, from there, predict property values. The purpose of this article is the innovative use of simple building inspection strategies to predict the market price for residential apartments. For this, 19 samples of residential apartments are used in the city of Niterói, Rio de Janeiro, Brazil, in February 2021. The methodology uses the results of the survey of civil engineering and converts them into heuristic terms predicting the price of the property. With this, the imprecision, uncertainty, and subjectivity of human expression combined with the knowledge of civil engineering result in a plausible solution and easy application in the market. Finally, the use of fuzzy logic in the evaluation of properties is an adequate unconventional method, in addition to avoiding repetition in regression coefficients in binary logic. To check the reliability of the method, the comparison between the market values of the samples and the values predicted by the fuzzy logic is used. The result according to the mean absolute percentage error (MAPE) can be interpreted as a good result (7%).

The aim of the article is to analyse the land use of selected areas and its impact on the ecological condition of the area. 3 (Ignalina, Molėtai and Zarasai) from 15 districts (which are characterized by considerable forest cover and exceptional recreational characteristics) of Lithuania were selected as the object of research. The largest part of the area of these districts (44–57%) consists of agricultural areas; a slightly smaller area (32–42%) is occupied by forests and other natural areas. Artificial covers occupy from 8 to 11 percent of the total area of districts. Analysing the change of these land cover areas over a period of 12 years, a practically stable (4-6%) decrease of agricultural areas and growth of forests and other natural areas (3–5%) as well as artificial covers (1%) in all three municipalities are observed. Taking into account the prevailing land cover structure in the districts in 2018, the estimated degree of polarization of all districts/ecological stability indicator of the area exceeded 0.67, i.e., areas have been found to be ecologically stable. However, after assessing the ecological stability of the surveyed areas using a multi-criteria analysis method and introducing more criteria influencing the ecological condition of the area, not only the land cover structure, it was found that the ecological condition of Molėtai district is still the worst according to the ranking indicators, while that of Zarasai and Ignalina districts is very similar. Such a negative multi-criteria assessment of the ecological condition of Molėtai district was influenced by all criteria: lower area of protected and natural territories, forests in the district, higher population density, road length, area of artificial covers and emissions (carbon monoxides, nitrogen oxides, etc.) quantity. Meanwhile, when assessing the ecological condition of Ignalina district, 4 criteria were favourable, namely: relatively low population density, road length, and lower emissions of gases and liquids, carbon monoxide, and for Zarasai district 7 criteria: higher areas of protected territories, forests and other natural, agricultural areas as well as artificial cover areas and lower population density, emissions of nitrogen oxides, gaseous and liquid substances. The results of the study unambiguously revealed that the ecological stability of the territory is influenced not only by the land use structure, but also by other environmental elements related to the area, therefore for full sustainable development, it is necessary to responsibly assess all possible factors influencing the ecological condition of the area.