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The article is relevant because of the need to formulate and consider the main tools of digital socioeconomic transformation, as well as because of the need to create a new model. The implementation of the transformation of already existing forms and concepts inherent in socioeconomic systems depends on these processes. It is shown that whereas in traditional industries, economic value is created within the enterprise, in the digital economy, value is created outside the enterprise at the time of interaction between partners, suppliers, and customers. The conceptualization of space activities in the Republic of Kazakhstan and the practical implementation of programs for the development of the space industry is considered. Based on a combination of process, sectoral, and technological approaches, the article considers the relationship between the development directions of the space industry in Kazakhstan and the processes of the national economy digitalization. The necessity of transnational strategic partnership in the field of innovative digital technologies in the space industry instead of the currently used “rent” approach is demonstrated. The results of the article can be used to develop White papers and more detailed documents in the field of interrelated policies for the development of the digital economy and the space industry in Kazakhstan.

Ground monitoring of soil massifs takes a lot of time, labor and material resources, although it is the most accurate and detailed. When introducing complex methods of monitoring the soil cover, the inclusion of space technologies is mandatory.Remote sensing data carry objective information over large areas, obtained in various spectral ranges. The article discusses the possibility of using remote sensing data for mapping and monitoring changes in the soil cover of Northern Kazakhstan. On the basis of thematic processing of remote sensing data of native satellites, a spatial analysis of the content of main nutrients in the sowing layer of soils was carried out, the relationship was revealed between fertility indicators and the value of vegetation indices for test ranges of the territory of Northern Kazakhstan.

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