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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. 1, pp. 144-159

Spatio-temporal analysis of forest cover in the Middle Volga using landscape indices and Landsat satellite data

O.N. Vorobyov 1 , E.A. Kurbanov 1 , S.A. Lezhnin 1 , A.V. Gubayev 1 , D.M. Dergunov 1 , L.V. Tarasova 1 
1 Volga State University of Technology, Yoshkar-Ola, Russia
Accepted: 13.01.2023
DOI: 10.21046/2070-7401-2023-20-1-144-159
The study analyzes the dynamics of forest cover fragmentation in the Middle Volga region of Russian Federation based on the data of 18 multi-temporal Landsat images of 1985, 2001, and 2021 and 11 landscape indices (metrics). For this, two time periods of the spatio-temporal distribution of forest cover between 1985–2001 and 2002–2022 were analyzed using the FRAGSTATS software (version 4.2) and ArcGIS Pro. To obtain detailed maps for 15 land cover (vegetation) classes, Landsat images were consecutively classified using the stepwise unsupervised and supervised classification methods. The main attention was paid to the comparative assessment of landscape indices, which describe the fragmentation of the forest cover structure: forest area, patch and edge density, mean patch size, mean shape index, and proximity index distribution of forest plots. The analysis of landscape indices showed that in 1985–2001, on the territory of Middle Volga there was a trend towards an increase in forest fragmentation. Meanwhile in 2002–2022, the process of aggregation of forest areas takes place, which indicates the opposite trend — a decrease in forest cover fragmentation. The research results allow us to conclude that agricultural activity, urbanization and the development of transport infrastructure remain the driving forces of forest fragmentation in the Middle Volga region. The proposed methodology and algorithm is a useful tool for quantitative assessment of complex ecosystem processes and can be used as an effective means of monitoring the implementation of sustainable forest management indicators.
Keywords: forest fragmentation, landscape indices, Middle Volga region, forest ecosystems, classification, Landsat, spatial analysis, FRAGSTATS
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