Geoinformation mapping of the current state of agricultural territories of the Novoanninsky district of the Volgograd region
Автор: Matveev Stefan
Журнал: Природные системы и ресурсы @ns-jvolsu
Рубрика: Экология
Статья в выпуске: 2 т.12, 2022 года.
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Mapping and analysis of agricultural land is essential for developing strategies for regional land use. Official statistics do not always accurately reflect the quantitative and qualitative indicators of municipal land use structures. Geoinformation mapping methods based on Earth remote sensing data make it possible to most accurately determine the economic structure of a territory. Modern research on this topic has advanced enough to ensure high accuracy of mapping, but such data are not suitable for monitoring purposes. The purpose of this work is to map agricultural land (cultivated fields, fallows, hayfields) on the territory of the Novoanninsky district of the Volgograd region. The article sequentiallydescribes the stages of mapping: initial data, the process of mapping, selection features. A mapping technique based on the use of ultra-high spatial resolution data with verification using high-resolution data is described in detail. An analysis of the main sown areas in the district according to the data of the Federal State Statistics Service (FSGS) was compiled. The increased accuracy of the data obtained corresponds to the goals and objectives of the State Program Effective involvement in the circulation of agricultural land and the development of the reclamation complex. Based on thedescribedmethodology, morethan 2,500 spatial objectswith a total area ofmorethan 215,000 hectares were mapped in the study area. Actual sown area data was compared with official figures. A significant difference of 26.4% was found. The statistics are greatly underestimated. Presumably, this is due to the peculiarities of maintaining statistics, cadastral registration, as well as the concealment of actual data by land users themselves.
Volgograd region, land use, monitoring, farmland, gis technologies, remote sensing of the earth
Короткий адрес: https://sciup.org/149140824
IDR: 149140824 | DOI: 10.15688/nsr.jvolsu.2022.2.5