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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EDP Sciences
2020
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Online Access: | https://doi.org/10.1051/e3sconf/202022301003 https://doaj.org/article/edd58571fb6c4355881c1f0e6351d0bb |
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ftdoajarticles:oai:doaj.org/article:edd58571fb6c4355881c1f0e6351d0bb 2023-05-15T17:05:28+02:00 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 Kashnitskii Alexandr Balashov Ivan Bartalev Sergey Egorov Viacheslav Kobets Dmitrii Zharko Vasily Loupian Evgeniy 2020-01-01T00:00:00Z https://doi.org/10.1051/e3sconf/202022301003 https://doaj.org/article/edd58571fb6c4355881c1f0e6351d0bb EN FR eng fre EDP Sciences https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/83/e3sconf_rpers20_01003.pdf https://doaj.org/toc/2267-1242 2267-1242 doi:10.1051/e3sconf/202022301003 https://doaj.org/article/edd58571fb6c4355881c1f0e6351d0bb E3S Web of Conferences, Vol 223, p 01003 (2020) Environmental sciences GE1-350 article 2020 ftdoajarticles https://doi.org/10.1051/e3sconf/202022301003 2022-12-31T11:02:17Z 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. Article in Journal/Newspaper Krasnoyarsk Krai Directory of Open Access Journals: DOAJ Articles Tunguska ENVELOPE(144.784,144.784,59.388,59.388) E3S Web of Conferences 223 01003 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English French |
topic |
Environmental sciences GE1-350 |
spellingShingle |
Environmental sciences GE1-350 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 |
topic_facet |
Environmental sciences GE1-350 |
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. |
format |
Article in Journal/Newspaper |
author |
Kashnitskii Alexandr Balashov Ivan Bartalev Sergey Egorov Viacheslav Kobets Dmitrii Zharko Vasily Loupian Evgeniy |
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 |
publishDate |
2020 |
url |
https://doi.org/10.1051/e3sconf/202022301003 https://doaj.org/article/edd58571fb6c4355881c1f0e6351d0bb |
long_lat |
ENVELOPE(144.784,144.784,59.388,59.388) |
geographic |
Tunguska |
geographic_facet |
Tunguska |
genre |
Krasnoyarsk Krai |
genre_facet |
Krasnoyarsk Krai |
op_source |
E3S Web of Conferences, Vol 223, p 01003 (2020) |
op_relation |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/83/e3sconf_rpers20_01003.pdf https://doaj.org/toc/2267-1242 2267-1242 doi:10.1051/e3sconf/202022301003 https://doaj.org/article/edd58571fb6c4355881c1f0e6351d0bb |
op_doi |
https://doi.org/10.1051/e3sconf/202022301003 |
container_title |
E3S Web of Conferences |
container_volume |
223 |
container_start_page |
01003 |
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1766059998147772416 |