Landsat imagery evidences great recent land cover changes induced by wild fires in central Siberia

The article discusses the methods of satellite image classification to determine general types of forest ecosystems, as well as the long-term monitoring of ecosystems changes using satellite imagery of medium spatial resolution and the daily data of space monitoring of active fires. The area of inte...

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Published in:IOP Conference Series: Materials Science and Engineering
Main Authors: Antamoshkina, O. A., Trofimova, N. V.
Other Authors: Гуманитарный институт, Институт экологии и географии, Кафедра информационных технологий в креативных и культурных индустриях, Лаборатория биогеохимии экосистем
Format: Article in Journal/Newspaper
Language:unknown
Published: 2016
Subjects:
Online Access:https://doi.org/10.1088/1757-899X/122/1/012004
https://openrepository.ru/article?id=424465
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spelling ftneicon:oai:rour.neicon.ru:rour/424465 2023-05-15T18:31:03+02:00 Landsat imagery evidences great recent land cover changes induced by wild fires in central Siberia Antamoshkina, O. A. Trofimova, N. V. Гуманитарный институт Институт экологии и географии Кафедра информационных технологий в креативных и культурных индустриях Лаборатория биогеохимии экосистем 2016 https://doi.org/10.1088/1757-899X/122/1/012004 https://openrepository.ru/article?id=424465 unknown http://iopscience.iop.org/article/10.1088/1757-899X/122/1/012004 IOP Conference Series: Materials Science and Engineering без квартиля http://rour.neicon.ru:80/xmlui/bitstream/rour/424465/1/nora.pdf Antamoshkina, O. A. Landsat imagery evidences great recent land cover changes induced by wild fires in central Siberia [Текст] / O. A. Antamoshkina, N. V. Trofimova // IOP Conference Series: Materials Science and Engineering: IOP Conf. Series. — 2016. — Т. 122. — . doi:10.1088/1757-899X/122/1/012004 https://openrepository.ru/article?id=424465 Hierarchy’s analysis method remote sensing biodiversity forest protection 20.15 Journal Article Journal Article Preprint 2016 ftneicon https://doi.org/10.1088/1757-899X/122/1/012004 2020-07-21T12:57:23Z The article discusses the methods of satellite image classification to determine general types of forest ecosystems, as well as the long-term monitoring of ecosystems changes using satellite imagery of medium spatial resolution and the daily data of space monitoring of active fires. The area of interest of this work is 100 km footprint of the Zotino Tall Tower Observatory (ZOTTO), located near the Zotino settlement, Krasnoyarsk region. The study area is located in the middle taiga subzone of Western Siberia, are presented by the left and right banks of the Yenisei river. For Landsat satellite imagery supervised classification by the maximum likelihood method was made using ground-based studies over the last fifteen years. The results are the identification of the 10 aggregated classes of land surface and composition of the study area thematic map. Operational satellite monitoring and analysis of spatial information about ecosystem in the 100-kilometer footprint of the ZOTTO tall tower allows to monitor the dynamics of forest disturbance by fire and logging over a long time period and to estimate changes in forest ecosystems of the study area. Data on the number and area of fires detected in the study region for the 2000-2014 received in the work. Calculations show that active fires have burned more than a quarter of the footprint area over the study period. Fires have a significant impact on the redistribution of classes of land surface. Area of all types of vegetation ecosystems declined dramatically under the influence of fires, whereas industrial logging does not impact seriously on it. The results obtained in our work indicate the highest occurrence of fires for lichen forest types within study region, probably due to their high natural fire danger, which is consistent with other studies. The least damage the fire caused to the wetland ecosystem due to high content of moisture and the presence of a large number of fire breaks in the form of open water. Article in Journal/Newspaper taiga Siberia NORA (National aggregator of open repositories of Russian universities) Yenisei River ENVELOPE(84.738,84.738,69.718,69.718) IOP Conference Series: Materials Science and Engineering 122 012004
institution Open Polar
collection NORA (National aggregator of open repositories of Russian universities)
op_collection_id ftneicon
language unknown
topic Hierarchy’s analysis method
remote sensing
biodiversity
forest protection
20.15
spellingShingle Hierarchy’s analysis method
remote sensing
biodiversity
forest protection
20.15
Antamoshkina, O. A.
Trofimova, N. V.
Landsat imagery evidences great recent land cover changes induced by wild fires in central Siberia
topic_facet Hierarchy’s analysis method
remote sensing
biodiversity
forest protection
20.15
description The article discusses the methods of satellite image classification to determine general types of forest ecosystems, as well as the long-term monitoring of ecosystems changes using satellite imagery of medium spatial resolution and the daily data of space monitoring of active fires. The area of interest of this work is 100 km footprint of the Zotino Tall Tower Observatory (ZOTTO), located near the Zotino settlement, Krasnoyarsk region. The study area is located in the middle taiga subzone of Western Siberia, are presented by the left and right banks of the Yenisei river. For Landsat satellite imagery supervised classification by the maximum likelihood method was made using ground-based studies over the last fifteen years. The results are the identification of the 10 aggregated classes of land surface and composition of the study area thematic map. Operational satellite monitoring and analysis of spatial information about ecosystem in the 100-kilometer footprint of the ZOTTO tall tower allows to monitor the dynamics of forest disturbance by fire and logging over a long time period and to estimate changes in forest ecosystems of the study area. Data on the number and area of fires detected in the study region for the 2000-2014 received in the work. Calculations show that active fires have burned more than a quarter of the footprint area over the study period. Fires have a significant impact on the redistribution of classes of land surface. Area of all types of vegetation ecosystems declined dramatically under the influence of fires, whereas industrial logging does not impact seriously on it. The results obtained in our work indicate the highest occurrence of fires for lichen forest types within study region, probably due to their high natural fire danger, which is consistent with other studies. The least damage the fire caused to the wetland ecosystem due to high content of moisture and the presence of a large number of fire breaks in the form of open water.
author2 Гуманитарный институт
Институт экологии и географии
Кафедра информационных технологий в креативных и культурных индустриях
Лаборатория биогеохимии экосистем
format Article in Journal/Newspaper
author Antamoshkina, O. A.
Trofimova, N. V.
author_facet Antamoshkina, O. A.
Trofimova, N. V.
author_sort Antamoshkina, O. A.
title Landsat imagery evidences great recent land cover changes induced by wild fires in central Siberia
title_short Landsat imagery evidences great recent land cover changes induced by wild fires in central Siberia
title_full Landsat imagery evidences great recent land cover changes induced by wild fires in central Siberia
title_fullStr Landsat imagery evidences great recent land cover changes induced by wild fires in central Siberia
title_full_unstemmed Landsat imagery evidences great recent land cover changes induced by wild fires in central Siberia
title_sort landsat imagery evidences great recent land cover changes induced by wild fires in central siberia
publishDate 2016
url https://doi.org/10.1088/1757-899X/122/1/012004
https://openrepository.ru/article?id=424465
long_lat ENVELOPE(84.738,84.738,69.718,69.718)
geographic Yenisei River
geographic_facet Yenisei River
genre taiga
Siberia
genre_facet taiga
Siberia
op_relation http://iopscience.iop.org/article/10.1088/1757-899X/122/1/012004
IOP Conference Series: Materials Science and Engineering
без квартиля
http://rour.neicon.ru:80/xmlui/bitstream/rour/424465/1/nora.pdf
Antamoshkina, O. A. Landsat imagery evidences great recent land cover changes induced by wild fires in central Siberia [Текст] / O. A. Antamoshkina, N. V. Trofimova // IOP Conference Series: Materials Science and Engineering: IOP Conf. Series. — 2016. — Т. 122. — .
doi:10.1088/1757-899X/122/1/012004
https://openrepository.ru/article?id=424465
op_doi https://doi.org/10.1088/1757-899X/122/1/012004
container_title IOP Conference Series: Materials Science and Engineering
container_volume 122
container_start_page 012004
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