All land of the Republic of Belarus can be classified by categories (7 categories), types of lands (14 types), land users, forms of ownership and types of rights to land plots. The total area of land in the Republic of Belarus is 20760 thousand hectares, including agricultural land occupies 9103.0 thousand hectares (43.8%) of the total area of the republic; settlements, horticultural associations, dacha cooperatives – 849.0 thousand hectares (4.1%); industry, transport, communications, energy, defence and other purposes – 622.2 thousand hectares (3.0%); environmental, health, recreational, historical and cultural purposes – 868.7 thousand hectares (4.2%); forest fund – 8656.4 thousand hectares (41.7%); water fund – 37.3 thousand hectares (0.2%); reserve land – 623.4 thousand hectares (3.0%). The basis of the land resources used in the agro-industrial complex of the republic is arable land, meadows and land under permanent crops, which in general occupy 8387.1 thousand hectares, or 40.4% of the total area of land. The state owns 20683.6 thousand hectares (99.63%) of land, private property – 76.4 thousand hectares (0.37%) of the total area of all lands of the republic. In terms of environmental stability, the territory of the republic belongs to medium-stable territories, the coefficient of environmental stability is 0.63, and in terms of the degree of anthropogenic load – to territories with a relatively low anthropogenic load, the coefficient of anthropogenic load is 2.79.

One of the most challenging tasks in modelling of house pricing is to take into account the location factors. Geographically Weighted Regression (GWR) as a local regression model is an extremely effective instrument for spatial data analysis. The aim of the study is to model the relationships between a residential real estate price (per sq.m) and both building and location characteristics for Gomel using GWR. The data of the Belarus’ National Cadastral Agency on real estate transactions (apartments) in Gomel in 2019 are used as initial. The global Moran I index has been used to estimate a spatial autocorrelation of the dependent variable (price per square meter of residential real estate). Several factors having the impact on the apartment sale prices have been determined. Independent variables having been used in analysis can be divided into building characteristics and spatial characteristics. The building characteristics section includes the number of rooms within the property, property area (square meters), building age, number of floors in the building, floor of the property. The spatial characteristics group contains proximity to city centre, recreation areas, supermarkets, bus stops, healthcare and educational facilities. A regression model of housing price in Gomel has been developed. Mapping variable regression coefficients allows exploring spatial features of the impact of the different explanatory variables on the property price. Geographically weighted regression modelling has revealed the pricing peculiarities inherent for certain areas of the city.

The aim of the study was to develop a methodology for determining homogeneous territorial zones for precision farming. In this study we took into account the national land use system which provides for the absence of private ownership of agricultural land. The algorithm for determining management-zones provides for: establishing zones of spatial heterogeneity; determining the presence of clusters and emissions; modelling the spatial distribution of soil quality indicators. It is recommended to use data from agrochemical soil studies which are conducted centrally every 4 years for each agricultural enterprise as input parameters. These data include: the humus content in the soil, the content of available phosphorus and potassium and soil pH. The data should be carefully examined using spatial statistics tools to provide a more accurate delineation of the management-zones boundaries. The developed technique makes it possible to determine fertile and marginal areas within each individual field and differentiate the use of fertilizers, taking into account the presence of intra-field heterogeneity. This will save from 2.5 to 21.8 kg P haE−1 and from 0.9 to 26.7 kg K haE−1 due to the redistribution of the fertilizer dose calculated for the planned yield, taking into account the identified site-specific management zones. The differentiated use of mineral fertilizers will increase the profitability of growing winter cereals by 2.2%, sugar beets by 1.3%, rapeseed by 1.1%, and malting barley by 0.8%.

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.