Regional monitoring of forests using the Vega-Les system: case study for Tungussko-Chunskoye forest management unit and Tunguska reserve in the Russian Krasnoyarsk region

This paper demonstrates the capabilities of the Vega-Les (“Les” is the Russian word meaning “forest”) information system (IS) for forest monitoring. A brief assessment and characteristics of the Earth observation data and main available thematic products about Russian forests available in the system...

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Bibliographic Details
Published in:E3S Web of Conferences
Main Authors: Kashnitskii Alexandr, Balashov Ivan, Bartalev Sergey, Egorov Viacheslav, Kobets Dmitrii, Zharko Vasily, Loupian Evgeniy
Format: Article in Journal/Newspaper
Language:English
French
Published: EDP Sciences 2020
Subjects:
geo
psy
Online Access:https://doi.org/10.1051/e3sconf/202022301003
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/83/e3sconf_rpers20_01003.pdf
https://doaj.org/article/edd58571fb6c4355881c1f0e6351d0bb
Description
Summary:This paper demonstrates the capabilities of the Vega-Les (“Les” is the Russian word meaning “forest”) information system (IS) for forest monitoring. A brief assessment and characteristics of the Earth observation data and main available thematic products about Russian forests available in the system are given. An assessment of the capabilities of the Vega-Les IS for studying local scale forest changes was carried out. The Tungussko-Chunskoye forest management unit (FMU) and the Tunguska nature reserve in the Russian Krasnoyarsk Krai region were chosen as the test area. The analysis of forest cover changes over this area since the beginning of the 21st century, including the changes in the number and extent of wildfires, is presented. As a result, it is concluded that the Vega-Les IS is applicable for remote assessment and monitoring of various characteristics of Russian forests.