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GIS TECHNOLOGIES FOR AGRICULTURAL MONITORING IN THE REGIONAL AGRICULTURE SYSTEM OF THE KRASNOYARSK TERRITORY

Марина Г. Ерунова

First published: 2019-06-20https://doi.org/10.5593/sgem2019/2.2/s11.106View metrics

Abstract

The experience of introduction of GIS technologies in the regional agriculture system of the Krasnoyarsk Territory is given. The digital model of Experimental Agricultural Enterprise ?Minino? situated near Krasnoyarsk city is formed using geoinformation technologies, remote sensing data and methods, web mapping software tools. The resulting digital model contains relevant information about the agricultural fields, varieties, crops, soil, granulometric composition, soil-forming rocks, conditions of occurrence in relief. Multispectral satellite images have been selected for the territory under consideration, allowing to effectively solve the problems of agricultural monitoring. A series of technological, digital maps and cartograms have been created, which concentrate information on crop rotations and cultivated crops. In general, a multi-layer electronic map of the agricultural enterprise was created, tabular information of the database of the history of fields was introduced, taking into account all the performed agro technical measures. Access to the prepared thematic maps is carried out on the basis of web-mapping tools. The developed software provides the ability to visualize geospatial data in a normal web browser or by standard web mapping services in desktop software such as MapInfo, QGIS, ArcGIS, etc. Geospatial database of soil information is the first step of digitalization of the system of agriculture of the Krasnoyarsk territory.

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Publication details

Title
GIS TECHNOLOGIES FOR AGRICULTURAL MONITORING IN THE REGIONAL AGRICULTURE SYSTEM OF THE KRASNOYARSK TERRITORY
Authors
Марина Г. Ерунова
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2019
Pages
863-870
SWS Citekey
Erunova201911863870
ISSN
1314-2704
ISBN
978-619-7408-80-5
Language
en
Publication type
Conference Paper
Keywords
agriculture monitoringweb mappingGISdigital modelsoil spatial data
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