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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, 2023, Vol. 20, No. 6, pp. 195-207

Estimating the spectral reflectance and possibility of recognizing natural landscapes in forest-steppe zone using Sentinel-2 data

E.A. Terekhin 1 
1 Belgorod State National Research University, Belgorod, Russia
Accepted: 13.11.2023
DOI: 10.21046/2070-7401-2023-20-6-195-207
Quantitative analysis of natural landscape spectral reflectance is necessary for development of approaches to their recognition and assessment using remote sensing data. The article analyzes the reflectance of landscapes typical of forest-steppe natural zone and the south of the Central Russian Upland using Sentinel-2 data: small-dry-valleys with different forest cover, floodplain areas, oak forests of different ages. Sentinel-2 bands can be divided into 2 groups according to reflectance of the most typical landscape components in the region. Treeless areas of landscapes, areas of small-dry-valleys with different forest cover, areas of floodplains and broad-leaved forests of various ages are characterized by the highest, statistically significant differences in the blue, red and short-wave infrared ranges. Possibilities of landscapes automated recognition were investigated using stepwise discriminant analysis of Sentinel-2 spectral reflectance. It has been established that the spectral reflectance in short-wave infrared ranges make the greatest contribution to the recognition of landscape components in the region. Classification functions have been calculated and verified, allowing automated recognition of forest-steppe landscape components with a total accuracy of up to 85.6%.
Keywords: forest-steppe landscapes, Central Russian Upland, spectral reflectance, discriminant analysis, Sentinel-2
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