The article discusses the prospects and advantages of using QGIS for solving spatial planning tasks. Attention is focused on the strengths of QGIS compared to other geographic information system software and the programme’s potential to eliminate the monopoly position in the market by well-known geographic information system software manufacturers. Even though QGIS is open-source software, this software product is generally not inferior to expensive geographic information system software. At the same time, the advantages of QGIS include cross-platform, rich functionality, the ability to use different geographic information databases, and the ability to connect and integrate various plug-ins into the programme. Particular attention should be paid to the ability to independently write plug-ins for solving specific highly specialised tasks in the Python programming language and their quick integration into the QGIS software environment. Examples of QGIS software for solving specific spatial planning problems are given. The possibilities of using QGIS in solving the issues of settlement planning, territory management, land management and environmental monitoring are considered. The conducted research gives grounds to recommend QGIS for wide application by developers of project documentation, as well as by executive authorities and local self-government bodies for analysing cartographic and project materials in making management decisions. This approach will help create a competitive environment among developers of urban planning and land management documentation. After all, today, many specialists cannot afford expensive commercial licenses of well-known geographic information system software developers. And any legislative requirements that oblige them to use them in practice lead to monopolisation of the market for these services by individual enterprises. At the same time, it has been proven that using the open-source geographic information system software QGIS will not lead to a deterioration in the quality of project documentation. The programme can ensure the proper quality, accuracy and interoperability of design and mapping materials created with its help and solve a wide range of tasks in spatial planning.

In the era of the high level of technological achievements of remote sensing of the Earth and the high level of development of web cartography, interactive web applications for the analysis of data of remote sensing of the Earth are gaining more and more popularity. Considering the large amount of space image data, and the complexity and heterogeneity of the analysis tools that need to be developed, the question arises of quickly and efficiently creating an interactive web application for the analysis of space images that will help scientists monitor and study changes in the Earth's surface and predict optimal ways of territory development with minimal expenditure of time and resources. In solving such a question, the specialized web platform Google Earth Engine (GEE) can help. The purpose of the article is to highlight the characteristics and advantages of the GEE platform by creating an interactive web application using the example of analysing changes in the NDVI index. Analysing GEE allows us to conclude that this web-platform provides a comprehensive solution for creating interactive cartographic web applications for the analysis of space images with a built-in IDE. It will help to significantly reduce development time and costs, allowing for quick and efficient analysis of Earth remote sensing data.

The paper’s main objective is to analyse the distribution of large farm plots and opportunities for their optimization. In the context of intensive changes in the management and use of agricultural land, it is particularly important to optimise the land holdings of large farms. Most large farms are characterised by a fragmented, uncompacted spatial distribution. 15 large farms were selected for analysis in Jonava municipality. There are 22 separate fields on average per holding, 2/3 of the farm centres (farmsteads) are located in large settlements, and 1/3 of the farm centres are located in one-farm settlements and in small villages. It was found that the average area of individually cultivated fields is 14.9 ha, and the average distance from the farmstead to the fields is 4.35 km. Land holdings are very fragmented – fragmentation coefficient K2 value range from 2.64 to 8.81 (average 3.62) for selected farms. It is proposed to draw up municipality land use planning schemes, which would project the prospective boundaries of land holdings, and to legalize by law the right of pre-emption for the farm owner to acquire the ownership of the plots of land to be sold within these boundaries in order to increase the compactness of farm land holdings. A state can facilitate sporadic land consolidation by farmers through the preparation of the proposed municipality land use planning schemes.