name
Mityaeva Liliya Andreevna
Scholastic degree
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Academic rank
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Honorary rank
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Organization, job position
• Russian Scientific-Research Institute of Land Improvement Problems
научный сотрудник
Research interests
восстановление и повышение плодородия орошаемых земель, предотвращение деградации почвенного покрова
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0
TOP5 co-authors
Articles count: 1
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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Description
The aim of the research was to develop a geographical information system (GIS) for monitoring soil fertility based on calibrated remote sensing data within Rostov region. The possibility of developing a geoinformation system for irrigated agrolandscapes monitoring based on modern computer geoinformation technologies for problems solving of reclaimed territories management in cooperation with other automated information technologies is considered. An example of selecting main degradation processes for the irrigated agrolandscape within Rostov region boundaries, the main possibilities of the system and the proposed directions for its development are presented. To develop a geoinformation monitoring system, the ArcGIS 10.4.1 for Desktop software package has been selected. Monitoring GIS includes remote sensing data obtained from the VEGA-Science satellite monitoring service. The technology for creating a geodatabase for degradation processes monitoring, necessary for rapid analysis of information and time-saving on collection, processing and calibration of data bulk is introduced. As a mapping principle, graduation of farm fields by intensity of land degradation processes was used. GIS monitoring includes multi-layer digital maps and data attribute tables characterizing the main indicators of soil fertility and crop seeding development. The use of GIS technologies with satellite data will significantly reduce the complexity of field survey data processing by data processing automation and is promising for developing computer monitoring systems for irrigated agro landscapes. Farm specialists are offered a convenient mechanism not only for data accumulation, but also for maintaining fields’ history with reference to the yield year. Analysis tools allow performing data spatial and logical queries, to run samples and reports
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