The subject of the study is the need and the possibility of using remote sensing data in the absence of reliable information from electronic federal information resources and the geospatial binding of their data with a view to further data integration. The article discusses the main disadvantages and advantages of the use of unmanned aerial vehicles for electronic mapping on the example of lands outside the settlements. For all the advantages of using unmanned aerial vehicles for cartographic support of electronic state information resources, their use is difficult due to the insufficient development of the regulatory framework for their use for aerial photography of the area. With remote sensing, despite the ever-increasing accuracy of the data obtained, it is not yet possible to exclude groundbased measurements. It has been established that, on average, the share of agricultural land registered in the state cadastral registration, the location information of which is contained in the Unified State Register of Property Rights, decreases with distance from the borders of settlements. The use of modern technologies and methods of remote sensing allows solving a range of problems from legal and environmental ones to data exchange and integration with federal, regional and municipal information resources. Keywordsunmanned aerial vehicles, remote sensing of the Earth, Unified State Register of Property Rights, agricultural land, cadastral registration, digital mapping I. However, the active circulation of plots and their use is also characteristic of lands outside the borders of settlements. And, since their location data about all of them can be
The article discusses the possibility of using information technologies in the forest industry, for example, the use of aerospace services, geographic information systems, as well as models of virtual enterprises that allow interactive, competent and timely decisions to increase the quality and accuracy of the forest fund and digital production management process. The information model is constantly being transformed by updating its geometry and attributes, replenishing with data generated at all stages of its life cycle and necessary for solving problems by specialists involved at a particular stage. The information model of digital production helps to solve the following problems in training: the training of students with the minimum necessary knowledge about the basics of process modeling in technical systems; promotes the assimilation of basic concepts, laws and modeling methods; contributes to the acquisition of experience important for practice activities: from the goal to obtain the result in the process of solving production problems; the formation in students of scientific thinking, a correct understanding of the limits of applicability of various laws of modeling, and mastery of methods for assessing the degree of reliability of results obtained using experimental research methods on models of production processes.
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