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 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.

Spatial data is constantly evolving, and the accuracy of spatial data is constantly changing. The latest GRPK and orthophotographic map were used in the study. Accuracy is also affected by technological advances, which are driven by improvements in working methods, which include the development of work tools and the development of data sets that contain structured data. The data contained in the data sets are determined by a variety of methods, such as field measurements (GPNS receiver or tacheometer) and analysis of digital photographic images, which are determined using aircraft or satellite systems. The determined data is processed with the help of specialized software, which is selected depending on its functionality and capabilities, and with the help of which the determined data is processed as accurately as possible. Accurate spatial data in densely populated areas makes it easier to carry out planning and design work correctly. The study is performed to determine the accuracy of the coordinates of the selected structures using remote methods. The more similar studies are conducted, the more confident the GRPK data generated remotely will be of the required accuracy, reliability, and applicability to planning, forecasting, and other important tasks. The article compares geodetic measurements and GRPK data and geodetic measurements and ORT10LT data, identifies coordinate differences, the size of the discrepancy and its average, and calculates the root mean square error. The object of the research is spatial and cartographic data of different buildings. The aim of the research is to determine and evaluate the accuracy of the coordinates obtained using remote sensing methods.