Kuban State Agrarian University (Department of Geodesy, Associate Professor)
Krasnodar, Krasnodar, Russian Federation
UDC 528.44
CSCSTI 36.23
The paper presents a methodology for determining land use types using global geographic portals. The authors compared the results of land resource identification using data from global geographic portals, selected a test site and satellite images to construct land fund maps, and applied various interpretation tools on temporal and spatial scales. As a result of the comparative analysis, two geographic portals were selected to obtain data: Copernicus Land Monitoring Service and ESA World Cover. The Krasnodar territory, which is represented on all global geographic portals under study, was chosen as a test site for identification. The goal of the study was to obtain reliable data on land resource categories using remote sensing data reflected in modern global geographic portals. In the process of interpreting the materials, significant discrepancies were identified in the indicators obtained from different geographic portals. As a result of interpreting the Earth remote sensing data and identifying land resources in dynamics from 2015 to 2019, maps of the selected territory were compiled and both predominant and less common types of vegetation were identified, and built-up lands in the study areas were interpreted.
land resources, geoportal, decryption, land cover classification, land management
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