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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2026, V. 23, No. 2, pp. 204-215

Methods of land cover typification using controlled classification algorithms (illustrated by industrially developed areas of Belgorod Region)

O.I. Grigoreva 1 , L. Huang 1 
1 Belgorod State National Research University, Belgorod, Russia
Accepted: 30.11.2025
DOI: 10.21046/2070-7401-2026-23-2-204-215
A model for creating maps of land use types based on classification of Sentinel 2 satellite data has been created. During the work, the correlation between the training data and the actual state of land use types was assessed. The classification of land use types was performed using three methods, of which classification using the maximum likelihood method showed the best results. The accuracy was assessed using the Kappa coefficient, which was 0.9. When compared with visual interpretation data based on space images of land use types, deviations were found in such land types as arable land with crops, hayfields and pastures, land under construction, industrial land and roads, and disturbed land. The model was adapted to local conditions of the study region. The model is capable of processing large amounts of data in real time, creating regional-scale products with high spatial resolution, and iteratively improving to enable timely land management decisions. The results obtained confirm the effectiveness of the created model, the maximum likelihood method for solving the tasks of mapping land areas with a high level of accuracy. The developed model can be used for monitoring land use, inventory of agricultural land and solving other applied tasks in the field of land resources management.
Keywords: remote sensing of the Earth, controlled classification, maximum likelihood method, land use typification
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