Issues of satellite images decoding in modern development of forest management

• Published in: IOP conference series. Earth and environmental science Vol. 507; no. 1; pp. 12004 - 12010
• Main Authors: Galiullin, I R, Glushko, S G, Khamitova, S M, Pestovskiy, A S, Fedchenko, E I, Ivanova, M A
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.05.2020
• Subjects: Biosphere; Biota; Forest ecosystems; Forest management; Forest resources; Forests; Habitat fragmentation; Remote sensing; Satellite imagery; Satellites; Species composition; Taxation; Vegetation
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/507/1/012004

The processes of natural overgrowing of poorly used lands have led to the formation of a significant amount of unaccounted forest resources. As a result of a survey of the territory adjacent to the city of Kazan, we have identified numerous land plots that are uncontrollably overgrown with forests, an example of such a plot is given. Accounting for all areas covered by forest vegetation will significantly increase the forest cover of the Republic of Tatarstan. Using modern methods of "contour decoding" of satellite images allows us to identify almost all areas covered by forest vegetation, significantly increasing the efficiency of the use of forest resources. Using the methods of the so-called "taxation (estimated) decryption" of satellite images allows us to assess the features of the dynamics of modern forests. An assessment of the species composition and origin of forests using remote sensing methods, including based on the results of decoding satellite images, gives an idea of the distribution of derivative forests in the region. Forest inventory allows not only to keep a record of the forest fund, but also to assess the resources of forest biota in regional fragments of the biosphere, as well as identify the main trends in forest dynamics.