Geospatial database for digitalization of agriculture of the Krasnoyarsk territory

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 co...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2019-08, Vol.315 (3), p.32022
Main Authors: Erunova, M G, Shpedt, A A, Trubnikov, Y N, Yakubailik, O E
Format: Article
Language:English
Subjects:
Agricultural industry
Agricultural land
Agricultural practices
Agriculture
Archives & records
Computer programs
Crop rotation
Crop yield
Crops
Data processing
Decision analysis
Digital mapping
Digitization
Electronic maps
Geographic information systems
Multilayers
Particle size distribution
Pilot projects
Remote sensing
Size distribution
Software
Soil formation
Soils
Spatial data
Spatial discrimination
Spatial resolution
Territory
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Summary: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.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/315/3/032022