Geospatial database for digitalization of agriculture of the Krasnoyarsk territory
URI (for links/citations):https://iopscience.iop.org/article/10.1088/1755-1315/315/3/032022
Erunova, M. G.
Shpedt, A. A.
Trubnikov, Y. N.
Yakubailik, O. E.
Институт экологии и географии
Journal Name:IOP Conference Series: Earth and Environmental Science
Journal Quartile in Scopus:без квартиля
Journal Quartile in Web of Science:без квартиля
Bibliographic Citation:Erunova, M. G. Geospatial database for digitalization of agriculture of the Krasnoyarsk territory [Текст] / M. G. Erunova, A. A. Shpedt, Y. N. Trubnikov, O. E. Yakubailik // IOP Conference Series: Earth and Environmental Science: Earth and Environmental Science. — 2019. — Т. 315.
The experience of implementation of GIS and web technologies for regional agriculture of the Krasnoyarsk territory is considered. The experimental agricultural enterprise "Minino", located near the city of Krasnoyarsk, was chosen as a pilot project. For this agricultural enterprise, the comprehensive digital model using geographic information systems, remote sensing and web mapping data processing techniques and software is created. A geospatial database, which contains relevant and archival information about agricultural fields, varieties, crops, soil, particle size distribution, soil-forming rocks, terrain features, has been developed. A series of technological digital maps and cartograms have been created in which information on crop rotations and cultivated crops is concentrated. Archives of available multispectral satellite data of high spatial resolution on the considered territory are analyzed. As a result, a multi-layer electronic map of the agricultural enterprise was created, which contains all available information and can be used for modeling and forecasting crop yields, agricultural planning. The developed methods and software and technological solutions can become a methodological basis for a new generation of information and analytical systems and technologies to support management decisions in the agricultural sector.