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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, 2016, Vol. 13, No. 4, pp. 124-134

Assessment of dynamics and disturbance of forest cover in the Middle Povolzhje by Landsat images

O.N. Vorobev 1 , E.A. Kurbanov 1 , Yu.A. Polevshikova 1 , S.A. Lezhnin 1 
1 Volga State University of Technology, Center of Sustainable Forest Management and Remote Sensing, Yoshkar-Ola, Russia
Accepted: 26.08.2016
DOI: 10.21046/2070-7401-2016-13-3-124-134
By an example of forest cover in Middle Povolzhje Region, the dynamics of forest classes (strata) and the disturbances affecting the forest cover were estimated for 1985-2014 years based on time series of Landsat satellite images. To validate the newly obtained Landsat thematic maps, we used 720 test sites with independent field data, forest inventory maps, and existing regional maps of land cover. For the analysis of the satellite images we referred to Disturbance Index (DI), Normalized Burnt Index (dNBR) and Tasseled Cap (TC) transformation. The research revealed that beginning from 1985, the area of young forest stands increased from 5 to 28%, while the area of mixed middle aged and small-leaved middle aged forest stands significantly decreased. The area under study generally demonstrated the growth of forest cover area by 3.9% between 1985 and 2014 mainly due to reforestation of abandoned agricultural lands. The maximum disturbance of forest cover (4.8%) derived from the Landsat satellite thematic map was detected in 2010-2014 as the result of the draught and wild fires of 2010. The overall unsupervised classification accuracy of 74% with kappa 0.69 shows high degree of agreement between the thematic map and the ground truth data. The research results can be applied for the forest inventory, forest pest monitoring, and management plan development for the forest sector in Middle Povolzhje.
Keywords: remote sensing, Landsat, disturbance index, image classification, forest cover, Middle Povolzhje
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