Geoinformation mapping of urbanized territories using remote sensing data (on the example of Volgograd)

Автор: Berdengalieva A.N., Berdengaliev R.N.

Журнал: Природные системы и ресурсы @ns-jvolsu

Рубрика: Геоэкология

Статья в выпуске: 3 т.13, 2023 года.

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The article examines the dynamics of land cover change in the territory of Volgograd city within the administrative districts from 2017 to 2021. The research objective is to analyze the changes in urban development areas of Volgograd over a five-year period using remote sensing data and geoinformation technologies. The data sources used are global land use maps provided by ESRI, based on the automatic classification of Sentinel-2 satellite imagery with a spatial resolution of 10 m/pixel. The creation and analysis of electronic maps were performed using QGIS 3 software. As a result of the conducted research, the areas of major land cover types were obtained, and their dynamics were studied, identifying areas of new urban development. The three most developed districts are Central, Voroshilovsky, and Krasnooktyabrsky. The built-up area has increased by 325 hectares from 2017 to 2021, with the majority of this increase occurring in the Soviet district of the city. The growth of built-up areas mostly happens at the expense of vacant lots and abandoned arable land. From 2012 to 2021, the population of Volgograd was decreasing by an average of 2,500 people per year. However, the construction of new residential complexes has not ceased. In 2022, the population sharply increased to a record level for the past decade, which may intensify new construction. The city’s forested areas are decreasing, which is characteristic of all administrative districts. According to ESRI data, in 2021, the average forest coverage was 5.3% with a forest area of 4.6 thousand hectares, while in 2017, the average forest coverage was 5.6%. The highest forest coverage is observed in the Kirovsky district, at 16.4%. Sarpa Island, which was included within the administrative boundaries of the district in 2008, also has a high forest coverage of 30.8%.

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Urban development, volgograd, remote sensing data, geoinformation technologies, land cover

Короткий адрес: https://sciup.org/149145157

IDR: 149145157   |   DOI: 10.15688/nsr.jvolsu.2023.3.7

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