: материалы временных коллективов / N. V. Trofimova, A. I. Suhinin // Large-area forest fires. - 2004. - С. 25-26
Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок 50/28
Доп.точки доступа:
Sukhinin, Anatoly Ivanovich; Сухинин, Анатолий Иванович; Трофимова, Наталья Васильевна
Имеются экземпляры в отделах:
ИФ (03.05.2006г. Инв.2-93K-06 - Б.ц.) (свободен)
Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН
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Найдено документов в текущей БД: 5
Estimation of environmental pollution by smoke emissions from forest fires using of satellite data
Оценка пожарных эмиссий с использованием дистанционных методов и ГИС-технологий
: материалы временных коллективов / Н. В. Трофимова // Исследования компонентов лесных экосистем Сибири. - 2008. - С. 41-43. - Библиогр. в конце ст.
Аннотация: Разработанный алгоритм распознавания и картирования пожарищ по многоканальным изображениям спутников TERRA, завышает оценку площади гари на 2%, в равнении с результатами картирования, по данным спутника LANDSAT+ETM. В то же время, алгоритм картирования пожаров по данным спутника AVHRR/NOAA, позволяет идентифицировать более 70% обнаруженных очагов горения общей площадью пожарищ, превышающую реальные значения почти на 30%. Из анализа причин возникновения неопределенностей и ошибок в оценке дымовых эмиссий, следует, что методика расчета позволяет производить оценку массы дымовых газов с точностью до 30%.
Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок, 50, стр., 28
Доп.точки доступа:
Trofimova N.V.
Аннотация: Разработанный алгоритм распознавания и картирования пожарищ по многоканальным изображениям спутников TERRA, завышает оценку площади гари на 2%, в равнении с результатами картирования, по данным спутника LANDSAT+ETM. В то же время, алгоритм картирования пожаров по данным спутника AVHRR/NOAA, позволяет идентифицировать более 70% обнаруженных очагов горения общей площадью пожарищ, превышающую реальные значения почти на 30%. Из анализа причин возникновения неопределенностей и ошибок в оценке дымовых эмиссий, следует, что методика расчета позволяет производить оценку массы дымовых газов с точностью до 30%.
Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок, 50, стр., 28
Доп.точки доступа:
Trofimova N.V.
Structure of the organic matter pool in Pinus sibirica dominated forests of Central Siberia
/ N. N. Koshurnikova [et al.] // Folia For. Pol. Ser. A. - 2015. - Vol. 57, Is. 4. - P218-223, DOI 10.1515/ffp-2015-0022
. - ISSN 0071-6677
Кл.слова (ненормированные):
Coarse woody debris -- Dead wood -- Dynamics -- Growing stock -- Organic matter -- Siberian pine -- Siberian territories adjacent to Yenisei River -- Stock -- Windfall -- ZOTTO observatory
Аннотация: Organic matter pool and its distribution between growing stock, dead wood and windfall in upland and lowland Pinus sibirica dominated forests of Central Siberia (along the Yenisei River) is evaluated. The average growing stock is changing with advancing age from 163.9 ± 20.4 to 295.4 m3 ha-1 thus reaching its maximum in the mature forests (337.0 ± 19.6 m3 ha-1). According to the data collected, stock variation coefficient numbers display acceptable (growing stock: 14-28%) and high variability (windfall and dead wood: 63-85%). Windfall prevails in the structure of coarse woody debris (CWD) from 130.8 ± 18.5 to 171.7 ± 20.1 m3 ha-1, with the stocks greatly exceeding the amount of growing wood stock in middle-aged and declining stands in 1.4 and 2.1 times, respectively. The observations comply with common trend of deterioration of dark coniferous forests in Siberia. © 2015 by Forest Research Institute.
Scopus
Держатели документа:
Siberian Federal University, Krasnoyarsk, Russian Federation
V.N. Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russian Federation
Siberian State Technological University, Krasnoyarsk, Russian Federation
WWF, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Koshurnikova, N. N.; Verkhovets, S. V.; Antamoshkina, O. A.; Trofimova, N. V.; Zlenko, L. V.; Zhuikov, A. V.; Garmash, A. A.
Кл.слова (ненормированные):
Coarse woody debris -- Dead wood -- Dynamics -- Growing stock -- Organic matter -- Siberian pine -- Siberian territories adjacent to Yenisei River -- Stock -- Windfall -- ZOTTO observatory
Аннотация: Organic matter pool and its distribution between growing stock, dead wood and windfall in upland and lowland Pinus sibirica dominated forests of Central Siberia (along the Yenisei River) is evaluated. The average growing stock is changing with advancing age from 163.9 ± 20.4 to 295.4 m3 ha-1 thus reaching its maximum in the mature forests (337.0 ± 19.6 m3 ha-1). According to the data collected, stock variation coefficient numbers display acceptable (growing stock: 14-28%) and high variability (windfall and dead wood: 63-85%). Windfall prevails in the structure of coarse woody debris (CWD) from 130.8 ± 18.5 to 171.7 ± 20.1 m3 ha-1, with the stocks greatly exceeding the amount of growing wood stock in middle-aged and declining stands in 1.4 and 2.1 times, respectively. The observations comply with common trend of deterioration of dark coniferous forests in Siberia. © 2015 by Forest Research Institute.
Scopus
Держатели документа:
Siberian Federal University, Krasnoyarsk, Russian Federation
V.N. Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russian Federation
Siberian State Technological University, Krasnoyarsk, Russian Federation
WWF, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Koshurnikova, N. N.; Verkhovets, S. V.; Antamoshkina, O. A.; Trofimova, N. V.; Zlenko, L. V.; Zhuikov, A. V.; Garmash, A. A.
Landsat imagery evidences great recent land cover changes induced by wild fires in central Siberia
/ O. A. Antamoshkina, N. V. Trofimova, O. A. Antamoshkin // IOP Conference Series: Materials Science and Engineering. - 2016. - Vol. 122: 19th International Scientific Conference Reshetnev Readings 2015 (10 November 2015 through 14 November 2015, ) Conference code: 122153, Is. 1, DOI 10.1088/1757-899X/122/1/012004
. -
Кл.слова (ненормированные):
Ecology -- Ecosystems -- Fires -- Forestry -- Image classification -- Maps -- Maximum likelihood -- Satellites -- Surface measurement -- Forest disturbances -- Long term monitoring -- Maximum likelihood methods -- Satellite image classification -- Satellite monitoring -- Spatial informations -- Spatial resolution -- Supervised classification -- Satellite imagery
Аннотация: 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. © Published under licence by IOP Publishing Ltd.
Scopus,
Смотреть статью
Держатели документа:
V.N. Sukachev Institute of Forest, SB, RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
Head of the Altai-Sayan Ecoregional Office WWF, Krasnoyarsk, Russian Federation
Siberian State Aerospace University, Academician M. F. Reshetnev, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Antamoshkina, O. A.; Trofimova, N. V.; Antamoshkin, O. A.
Кл.слова (ненормированные):
Ecology -- Ecosystems -- Fires -- Forestry -- Image classification -- Maps -- Maximum likelihood -- Satellites -- Surface measurement -- Forest disturbances -- Long term monitoring -- Maximum likelihood methods -- Satellite image classification -- Satellite monitoring -- Spatial informations -- Spatial resolution -- Supervised classification -- Satellite imagery
Аннотация: 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. © Published under licence by IOP Publishing Ltd.
Scopus,
Смотреть статью
Держатели документа:
V.N. Sukachev Institute of Forest, SB, RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
Head of the Altai-Sayan Ecoregional Office WWF, Krasnoyarsk, Russian Federation
Siberian State Aerospace University, Academician M. F. Reshetnev, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Antamoshkina, O. A.; Trofimova, N. V.; Antamoshkin, O. A.
The National Forest Heritage of the Altai-Sayan Ecoregion
/ O. A. Antamoshkina [et al.] // XII INTERNATIONAL SCIENTIFIC AND RESEARCH CONFERENCE TOPICAL ISSUES IN : IOP PUBLISHING LTD, 2016. - Vol. 155: 12th International Scientific and Research Conference on Topical Issues (APR 11-15, 2016, Krasnoyarsk, RUSSIA). - Ст. UNSP 012044. - (IOP Conference Series-Materials Science and Engineering), DOI 10.1088/1757-899X/155/1/012044. - Cited References:5
. -
РУБ Engineering, Aerospace
Кл.слова (ненормированные):
Hierarchy's analysis method -- remote sensing -- biodiversity -- forest -- protection.
Аннотация: The article presents the methodology of the selection and ranking Intact Forest Landscapes of the Altai-Sayan Ecoregion. This method is developed to identify the most valuable areas of forests, which currently does not legally protect. These areas are planned to recommend for inclusion in the National Forest Heritage of Russia.
WOS,
Смотреть статью,
Scopus
Держатели документа:
Reshetnev Siberian State Aerosp Univ, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
Altai Sayan Ecoreg Off WWF, Krasnoyarsk, Russia.
RAS, VN Sukachev Inst Forest SB, Krasnoyarsk, Russia.
Krasnoyarsk State Agrarian Univ, Krasnoyarsk, Russia.
Доп.точки доступа:
Antamoshkina, O. A.; Trofimova, N. V.; Antamoshkin, O. A.; Zelenkov, P. V.; Kovalev, I. V.
Кл.слова (ненормированные):
Hierarchy's analysis method -- remote sensing -- biodiversity -- forest -- protection.
Аннотация: The article presents the methodology of the selection and ranking Intact Forest Landscapes of the Altai-Sayan Ecoregion. This method is developed to identify the most valuable areas of forests, which currently does not legally protect. These areas are planned to recommend for inclusion in the National Forest Heritage of Russia.
WOS,
Смотреть статью,
Scopus
Держатели документа:
Reshetnev Siberian State Aerosp Univ, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.
Altai Sayan Ecoreg Off WWF, Krasnoyarsk, Russia.
RAS, VN Sukachev Inst Forest SB, Krasnoyarsk, Russia.
Krasnoyarsk State Agrarian Univ, Krasnoyarsk, Russia.
Доп.точки доступа:
Antamoshkina, O. A.; Trofimova, N. V.; Antamoshkin, O. A.; Zelenkov, P. V.; Kovalev, I. V.