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Methodical approaches to agricultural risk estimate in forecasting the economic effect of applying data of the earth's remote sensing effect of applying data of the Earth's remote sensing in the transition to the digital economy. We

Approaches to the Analysis and Assessment of Environmental Risks in Agriculture Identified Through the Monitoring and Processing of Remote Sensing Data agricultural risks in predicting the economic effect of using remote sensing data. © Springer Nature

Economic Optimization and Evolutionary Programming When Using Remote Sensing DataThe article considers the issues of optimizing the use of remote sensing data. The following method

“Pure data” or how remote sensing results can be used in the litigation? Earth data from space and the Rules for the transfer of copies of remote sensing Earth data from space

The system of evaluation principles for the economic effects of earth remote sensing data application for solution of the problems in various economy branchesIn this paper, based on an analysis of the application of Earth Remote Sensing (ERS) technologies

Use of Earth remote sensing data in international lawsuits; [Использование данных дистанционного зондирования Земли в международных судебных процессах]Remote sensing of the Earth from outer space makes it possible to obtain highly accurate data

RELEVANCE OF APPLICATION OF THE METHOD OF REMOTE SENSING OF THE EARTH IN THE AGRICULTURAL COMPLEXThe article analyzes individual methods of using remote sensing data for land accounting

Experience of Transformation the Remote Earth Sensing Taxonomy into OntologyThis article represents an example of ontology development in the field of Remote Earth Sensing (RES

Application of photogrammetry methods to ensure accuracy of spatial and angular position of Earth remote sensing images to the accuracy of determining the spatial and angular position (reference) of remote sensing images of the Earth

Open Source File System Selection for Remote Sensing Data Operational Storage and ProcessingSignificant increase in the number of Earth remote sensing devices requires improvement of ground

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