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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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
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spelling fttriple:oai:gotriple.eu: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 2020-01-01 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 en fr eng fre EDP Sciences 2267-1242 doi:10.1051/e3sconf/202022301003 https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/83/e3sconf_rpers20_01003.pdf https://doaj.org/article/edd58571fb6c4355881c1f0e6351d0bb undefined E3S Web of Conferences, Vol 223, p 01003 (2020) geo psy Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2020 fttriple https://doi.org/10.1051/e3sconf/202022301003 2023-01-22T18:04:22Z 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 Unknown Tunguska ENVELOPE(144.784,144.784,59.388,59.388) E3S Web of Conferences 223 01003
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
French
topic geo
psy
spellingShingle geo
psy
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 geo
psy
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://www.e3s-conferences.org/articles/e3sconf/pdf/2020/83/e3sconf_rpers20_01003.pdf
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 2267-1242
doi:10.1051/e3sconf/202022301003
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/83/e3sconf_rpers20_01003.pdf
https://doaj.org/article/edd58571fb6c4355881c1f0e6351d0bb
op_rights undefined
op_doi https://doi.org/10.1051/e3sconf/202022301003
container_title E3S Web of Conferences
container_volume 223
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