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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Main Authors: Kashnitskii Alexandr, Balashov Ivan, Bartalev Sergey, Egorov Viacheslav, Kobets Dmitrii, Zharko Vasily, Loupian Evgeniy
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/83/e3sconf_rpers20_01003.pdf
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spelling doaj-edd58571fb6c4355881c1f0e6351d0bb2021-04-02T16:40:28ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012230100310.1051/e3sconf/202022301003e3sconf_rpers20_01003Regional monitoring of forests using the Vega-Les system: case study for Tungussko-Chunskoye forest management unit and Tunguska reserve in the Russian Krasnoyarsk regionKashnitskii AlexandrBalashov IvanBartalev SergeyEgorov ViacheslavKobets DmitriiZharko VasilyLoupian EvgeniyThis 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/83/e3sconf_rpers20_01003.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Kashnitskii Alexandr
Balashov Ivan
Bartalev Sergey
Egorov Viacheslav
Kobets Dmitrii
Zharko Vasily
Loupian Evgeniy
spellingShingle Kashnitskii Alexandr
Balashov Ivan
Bartalev Sergey
Egorov Viacheslav
Kobets Dmitrii
Zharko Vasily
Loupian Evgeniy
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
E3S Web of Conferences
author_facet Kashnitskii Alexandr
Balashov Ivan
Bartalev Sergey
Egorov Viacheslav
Kobets Dmitrii
Zharko Vasily
Loupian Evgeniy
author_sort Kashnitskii Alexandr
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description 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.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/83/e3sconf_rpers20_01003.pdf
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