Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

/ Д.И. Назимова, Е.И. Федотова, В.П. Черкашин, Х.Б. Куулар // Ботанические исследования в Азиатской России: Материалы ХI съезда Русского Ботанического Общества (18-22 августа 2003 г., Новосибирск-Барнаул). - Барнаул : Русское Ботаническое Общество, 2005. - Т. 2. - С. 420-422

Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок, 50 стр. 28

Доп.точки доступа:
Назимова, Дина Ивановна; Nazimova, Dina Ivanovna; Федотова, Елена Викторовна; Fedotova, Elena Viktorovna; Черкашин, Вячеслав Павлович; Cherkashin Vyacheslav Pavlovich; Куулар, Х.Б.; Kuular Kh.B.

/ Х.Б. Куулар, Д.И. Назимова, Е.В. Федотова // Исследование земли из космоса. - 2005. - № 2. - С. 54-60

Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок 50/28

Доп.точки доступа:
Назимова, Дина Ивановна; Nazimova, Dina Ivanovna; Федотова, Елена Викторовна; Fedotova, Elena Viktorovna; Kuular Kh.B.

: 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.

: материалы временных коллективов / Е. Г. Швецов, А. И. Сухинин, Е. И. Пономарев // Хвойные бореальной зоны. - 2008. - Vol. 25, № 1-2. - С. 47-50. - Библиогр. в конце ст.
Аннотация: Проведен анализ типа грозовой активности на возникновение лесных пожаров на территории Красноярского края за 2005 год. Были проанализированы данные инструментальных измерений, выполненных с помощью радиометра AVHRR спутников NOAA, а также данных системы наземной пеленгации грозовых разрядов Красноярской авиабазы охраны лесов. Определена сезонная и широтная динамика грозовой активности. Получено распределение числа обнаруженных пожаров по времени после прохождения грозы. Определены соотношения между числом зарегистрированных молний и обнаруженных пожаров и классом пожарной опасности по условиям погоды.

Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок, 50, стр., 28

Доп.точки доступа:
Сухинин, Анатолий Иванович; Sukhinin, Anatoly Ivanovich; Пономарев, Евгений Иванович; Ponomaryev Alexey Vyacheslavovich; Shvetsov, Yevgeny Gennad'yevich

: материалы временных коллективов / Е. Г. Швецов, Л. И. Сухинин, Е. И. Пономарев // Хвойные бореальной зоны. - 2008. - Т.25, №1-2. - С. 47-50. - Библиогр. в конце ст.
Аннотация: Проведен анализ влияния типа грозовой активности (внутримассовые или фронтальные грозы) на возникновение лесных пожаров на территории Красноярского края за 2005 г. Были проанализированы данные инструментальных измерений, выполненных с помощью радиометра AVHRR спутников NOAA, а также данных системы наземной пеленгации грозовых разрядов Красноярской авиабазы охраны лесов. Определена сезонная и широтная динамика грозовой активности. Получено распределение числа обнаруженных пожаров по времени после прохождения грозы. Определены соотношения между числом зарегистрированных молний и обнаруженных пожаров и классом пожарной опасности по условиям погоды.

Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок, 50/28

Доп.точки доступа:
Сухинин, Анатолий Иванович; Пономарев, Евгений Иванович; Ponomaryev, Evgeny Ivanovich; Shvetsov, Yevgeny Gennad'yevich

[Text] / A. V. Rubtsov, A. I. Sukhinin, E. A. Vaganov // Izv. Atmos. Ocean. Phys. - 2011. - Vol. 47, Is. 9. - P1049-1056, DOI 10.1134/S0001433811090143. - Cited References: 19. - The work was supported by the Russian Foundation for Basic Research (project no. 09-05-00900-a). . - 8. - ISSN 0001-4338РУБ Meteorology & Atmospheric Sciences + Oceanography

Аннотация: The prediction results of large-scale forest fire development are given for Siberia. To evaluate the fire risks, the Canadian Forest Fire Weather Index System (CFFWIS) and the Russian moisture indices (MI1 and MI2) were compared on the basis of the data of a network of meteorological stations as input weather parameters. Parameters of active fires were detected daily from the NOAA satellite data for the period of 1996-2008. To determine the length of the fire danger season, the snow cover fractions from Terra/MODIS data (2001-2008) were used. The features of fire development on territories with different types of flammable fuel are considered. The statistical analysis of the areas and number of fires typical of each vegetation class is made with the use of the GLC2000 vegetation map. A positive correlation (similar to 0.45, p < 0.05) between the cumulative area of local fires and the MI1 and Canadian BUI and DMC indices is revealed. The Canadian ISI and FWI indices describe best the diurnal dynamics of fire areas. The above correlations are higher (similar to 0.62, p < 0.05) when we select the fires larger than 2000-10000 ha in size for the forested areas. Other cases point to the lack of a linear relation between the fire area and the values of all indices, because the fire spread depends on many natural and anthropogenic factors.

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Держатели документа:
[Rubtsov, A. V.
Sukhinin, A. I.
Vaganov, E. A.] Siberian Fed Univ, Inst Space & Informat Technol, Krasnoyarsk, Russia
[Rubtsov, A. V.
Sukhinin, A. I.] Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk, Russia

Доп.точки доступа:
Rubtsov, A.V.; Sukhinin, A.I.; Vaganov, E.A.

[Text] / A. I. Sukhinin [et al.] // Remote Sens. Environ. - 2005. - Vol. 94, Is. 3. - P428-428, DOI 10.1016/j.rse.2004.12.003. - Cited References: 1 . - 1. - ISSN 0034-4257РУБ Environmental Sciences + Remote Sensing + Imaging Science & Photographic Technology


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Держатели документа:
Altarum Inst, Ann Arbor, MI 48105 USA
Sukachev Forestry Inst, Krasnoyarsk 66036, Russia
Univ Maryland, Dept Geog, College Pk, MD 20743 USA
Univ Virginia, Dept Environm Sci, Charlottesville, VA 22903 USA
USDA, US Forest Serv, Arlington, VA 22209 USA
Доп.точки доступа:
Sukhinin, A.I.; French, NHF; Kasischke, E.S.; Hewson, J.H.; SoJa, A.J.; Csiszar, I.A.; Hyer, E.J.; Loboda, T...; Conard, S.G.; Romasko, V.I.; Pavlichenko, E.A.; Miskiva, S.I.; Slinkina, O.A.

[Text] / V. I. Kharuk [et al.] // Int. J. Remote Sens. - 2004. - Vol. 25, Is. 24. - P5543-5555, DOI 10.1080/01431160410001719858. - Cited References: 13 . - 13. - ISSN 0143-1161РУБ Remote Sensing + Imaging Science & Photographic Technology

Аннотация: During 1993-1996, in central Siberia, a silkmoth (Dendrolimus superans sibiricus Tschetw.) infestation damaged approximately 700 000 ha of fir, Siberian pine and spruce stands. Temporal (1995-1997) Advanced Very High Resolution Radiometer (AVHRR) images were used for pest outbreak monitoring of this event. Damaged stands were detected, with heavy (50-75% dead and dying trees) plus very heavy (75%) levels of damage classified. Summer and winter images were used for delineation of the northern border of the region of pest outbreaks. The Siberian taiga insects were classified with respect to their harmfulness to forests, based on the frequency Of Outbreaks, the size of the damaged territory, and the available food sources based on forest type.

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Держатели документа:
Sukachev Inst Forest, Krasnoyarsk, Russia
NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

Доп.точки доступа:
Kharuk, V.I.; Ranson, K.J.; Kozuhovskaya, A.G.; Kondakov, Y.P.; Pestunov, I.A.

[Text] / A. J. Soja [et al.] // J. Geophys. Res.-Atmos. - 2004. - Vol. 109, Is. D14. - Ст. D14S06, DOI 10.1029/2004JD004570. - Cited References: 126 . - 25. - ISSN 2169-897XРУБ Meteorology & Atmospheric Sciences

Аннотация: [ 1] In the biomass, soils, and peatlands of Siberia, boreal Russia holds one of the largest pools of terrestrial carbon. Because Siberia is located where some of the largest temperature increases are expected to occur under current climate change scenarios, stored carbon has the potential to be released with associated changes in fire regimes. Our concentration is on estimating a wide range of current and potential emissions from Siberia on the basis of three modeled scenarios. An area burned product of Siberia is introduced, which spans from 1998 through 2002. Emissions models are spatially explicit; therefore area burned is extracted from associated ecoregions for each year. Carbon consumption estimates are presented for 23 unique ecoregions across Siberia, which range from 3.4 to 75.4 t C ha(-1) for three classes of severity. Total direct carbon emissions range from the traditional scenario estimate of 116 Tg C in 1999 (6.9 M ha burned) to the extreme scenario estimate of 520 Tg C in 2002 (11.2 M ha burned), which are equivalent to 5 and 20%, respectively, of total global carbon emissions from forest and grassland burning. Our results suggest that disparities in the amount of carbon stored in unique ecosystems and the severity of fire events can affect total direct carbon emissions by as much as 50%. Additionally, in extreme fire years, total direct carbon emissions can be 37 - 41% greater than in normal fire years, owing to increased soil organic matter consumption. Mean standard scenario estimates of CO2 ( 555 - 1031 Tg), CO ( 43 - 80 Tg), CH4 (2.4 - 4.5 Tg), TNMHC (2.2 - 4.1 Tg), and carbonaceous aerosols (4.6 - 8.6 Tg) represent 10, 15, 19, 12 and 26%, respectively, of the global estimates from forest and grassland burning. Accounting for smoldering combustion in soils and peatlands results in increases in CO, CH4, and TNMHC and decreases in CO2 emitted from fire events.

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Держатели документа:
Terra Syst Res Inc, Williamsburg, VA 23185 USA
US Forest Serv, USDA, Arlington, VA 22209 USA
Nat Resources Canada, Great Lakes Forestry Ctr, Sault Ste Marie, ON P6A 2E5, Canada
Univ Virginia, Dept Environm Sci, Charlottesville, VA 22903 USA
Russian Acad Sci, Sukachev Forest Inst, Krasnoyarsk 660036, Russia
NASA, Langley Res Ctr, Hampton, VA 23681 USA

Доп.точки доступа:
Soja, A.J.; Cofer, W.R.; Shugart, H.H.; Sukhinin, A.I.; Stackhouse, P.W.; McRae, D.J.; Conard, S.G.

[Text] / A. J. Soja [et al.] // Int. J. Remote Sens. - 2004. - Vol. 25, Is. 10. - P1939-1960, DOI 10.1080/01431160310001609725. - Cited References: 70 . - 22. - ISSN 0143-1161РУБ Remote Sensing + Imaging Science & Photographic Technology

Аннотация: Advanced Very High Resolution Radiometer (AVHRR) data are used to produce an active-fire detection product for the fire season in 1999 and 2000 and an area burned product for 1996-2000. The distribution of fire is presented ranging from the Urals in the west to the eastern coast and from the semi-dry steppe regions in the south through the taiga in the north. A temporal and spatial pattern of fire is observed migrating from north of 40degrees N latitude in April to north of 60degrees N by mid-July. Fire is widespread in August, spanning the entire geographic range. In contrast to these patterns, no similar east-west migrations are discernible from these data. Peak active-fire counts are detected in early May between 50 and 55degrees N latitude in both 1999 and 2000. Wildfire in Russia is highly variable, both annually and interannually, with differences in reported area burned ranging from 0.234 to 13.3 million hectares per year. Comparing Russian fire statistics to satellite-based data from this investigation and previous works, we find area burned in Russia may be commonly underestimated by an average of 213%. Underestimates of this magnitude could strongly affect emissions estimates and climate change research.

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Держатели документа:
Univ Virginia, Dept Environm Sci, Charlottesville, VA 22903 USA
Russian Acad Sci, Sukachev Forest Inst, Krasnoyarsk 660036, Russia
Terra Syst Res, Williamsburg, VA 23185 USA
NASA, Langley Res Ctr, Hampton, VA 23681 USA

Доп.точки доступа:
Soja, A.J.; Sukhinin, A.I.; Cahoon, D.R.; Shugart, H.H.; Stackhouse, P.W.

[Text] / O. N. Zubareva [et al.] // Russ. J. Ecol. - 2003. - Vol. 34, Is. 6. - P375-380, DOI 10.1023/A:1027356316112. - Cited References: 20 . - 6. - ISSN 1067-4136РУБ Ecology

Аннотация: In this study, we have analyzed the degradation of pretundra forests and distinguished the levels of pollution using ground-based and remote-sensing data. The study region is located in the area exposed to emissions from the Norilsk Mining and Smelting Works. The main components of emissions are sulfur dioxide, nitrogen oxide, and heavy metals. Currently, the zone of damaged forests extends for more than 200 km. The comparison of the zones of degradation of pretundra vegetation distinguished in satellite images with the results of ground-based observations yielded high similarity coefficients (0.73-0.83) of the Kappa statistics. The zones of vegetation state were classified by NDVI values. The images from the NOAA/AVHRR satellite may be used for delimiting the zones of vegetation degradation by the proposed method.

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Держатели документа:
Russian Acad Sci, Siberian Div, Sukachev Inst Forestry, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Zubareva, O.N.; Skripal'shchikova, L.N.; Greshilova, N.V.; Kharuk, V.I.

[Text] / V. I. Kharuk [et al.] // Int. J. Remote Sens. - 2003. - Vol. 24, Is. 1. - P23-37, DOI 10.1080/0143116021000021143. - Cited References: 30 . - 15. - ISSN 0143-1161РУБ Remote Sensing + Imaging Science & Photographic Technology

Аннотация: In this paper NOAA AVHRR data acquired at the Sukachev Institute of Forest in Siberia, Russia is evaluated for forest management mapping applications. First a classification of the entire 1000 km x 3000 km transect was performed, but was found to be too general to be of value. More useful interpretation procedures require a landscape-ecological approach. This means that computer classification should be made separately for segments of territory based ecologically distinct regions. This segmentation of the transect into ecological regions was found to improve the level of detail available in the classification. Using this approach AVHRR data were found to be adequate for small scale mapping at the level of vegetation types or plant formations. A limited study using AVHRR data for classification of mountainous regions showed that AVHRR-derived maps were more detailed than existing landscape maps. AVHRR derived classifications also compared favourably to larger scale forest management maps of softwood and hardwood forests. Current forest management in Siberia relies on very small-scale inventory maps. Thus, there is a potential role for AVHRR (or Terra) data for northern Siberian forest monitoring. The southern forests of the Yenisey meridian (below the 57th parallel) are less uniform due to considerable human activity, and NOAA/AVHRR data will play a subordinate role in its monitoring.

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Держатели документа:
Sukachev Inst Forest, Krasnoyarsk, Russia
NASA, Goddard Space Flight Ctr, Biospher Sci Branch, Greenbelt, MD 20771 USA

Доп.точки доступа:
Kharuk, V.I.; Ranson, K.J.; Burenina, T.A.; Fedotova, E.V.

[] : материалы временных коллективов / О. Н. Зубарева [и др.] // Экология. - 2003. - № 6. - С. 415-419. - Библиогр. в конце ст.
Аннотация: Проведен анализ деградации и выделены уровни загрязнения притундровых лесов на основе использования наземных и дистанционных данных. Исследуемый район находится в зоне действия эмиссий Норильского горно-металлургического комбината (основные выбросы - диоксид серы, окись азота, тяжелые металлы). В настоящее время зона поврежденных лесов распространяется на расстояние более 200 км. При сравнении выделенных по снимкам зон деградации притундровой растительности с результатами наземных обследований получены высокие коэффициенты сходства (0.73-0.83) Каппа-статистики. Классификация зон состояния растительности проводилась по значениям NDVI. Показана возможность использования снимков со спутника NOAA/AVHRR при выделении зон деградации растительности по предложенной методике.

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Держатели документа:
Институт леса им. В.Н. Сукачева СО РАН

Доп.точки доступа:
Зубарева, Ольга Николаевна; Zubareva, Ol'ga Nikolayevna; Скрипальщикова, Лариса Николаевна; Skripalshchikova, Larisa Nikolayevna; Грешилова, Н.В.; Greshilova N.V.; Харук, Вячеслав Иванович

[Text] / S. . Huang [et al.] // Int. J. Remote Sens. - 2009. - Vol. 30, Is. 6. - P1479-1492, DOI 10.1080/01431160802541549. - Cited References: 37. - We thank the European Space Agency Centre for Earth Observation (ESA-ESRIN) for financial support and data provision, and the Max Planck Institute for Chemistry/Global Fire Monitoring Centre for funding aerial and ground surveys in the Transbaikal region. Special thanks to Dr Robert Crabtree for his support on finishing the manuscript, Mr Shawn Gray for improving the English and Mr Alan Swanson for helping with the statistical analysis. . - 14. - ISSN 0143-1161РУБ Remote Sensing + Imaging Science & Photographic Technology

Аннотация: The burned area, fuel type, crown fire percentage, and carbon release of the southern Siberia 2003 wildfire were analysed using AVHRR, MODIS, MERIS, ASTER images and a carbon release model. More than 200 000 km2 were burned from 14 March to 8 August 2003, of which 71.4% was forest, 9.5% humid grassland, and 2.15% bogs or marshes. During 1996 to 2003, 32.2% of the forested area and 23.36% of the total area was burned, and 13.9% of the total area was affected by fire at least twice. Direct carbon emission from this 2003 fire was around 400640 Tg. The 2003 Siberian fires could well have contributed to the high increase of the atmospheric CO2 and CO concentration in 2003. The increasing human pressure coupled with intensive fire severity, recurrent fire frequency, and increasing occurrence of summer droughts will reduce the carbon sequestration potential of this important carbon pool.

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Держатели документа:
[Huang, S.] Univ Munich, GeoBio Ctr, Munich, Germany
[Siegert, F.] Remote Sensing Solut GmbH, Munich, Germany
[Goldammer, J. G.] Univ Freiburg, Max Planck Inst Chem, Biogeochem Dept, Fire Ecol Res Grp,Global Fire Monitoring Ctr, Freiburg, Germany
[Sukhinin, A. I.] Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk, Russia

Доп.точки доступа:
Huang, S...; Siegert, F...; Goldammer, J.G.; Sukhinin, A.I.; European Space Agency Centre for Earth Observation (ESA-ESRIN); Max Planck Institute for Chemistry/Global Fire Monitoring Centre

[Текст] : материалы временных коллективов / Л. Н. Скрипальщикова [и др.] // Ботанические исследования в Сибири. - Красноярск, 2000. - Вып. 8. - С. 105-108. - Библиогр.: 5 назв.
Аннотация: Показана возможность использования мелкомасштабных снимков со спутника NOAA/AVHRR для классификации зон загрязнения притундровой растительности в зоне многолетнего воздействия эмиссий Норильского горно-металлургического комбината.

Держатели документа:
Институт Леса им. В.Н. Сукачева СО РАН : 660036 Красноярск, Академгородок 50/28

Доп.точки доступа:
Скрипальщикова, Лариса Николаевна; Skripalshchikova, Larisa Nikolayevna; Харук, Вячеслав Иванович; Грешилова, Н.В.; Greshilova N.V.; Страшников, А.В.

/ E. A. Loupian [et al.] // Mitigation and Adaptation Strategies for Global Change. - 2006. - Vol. 11, Is. 1. - P113-145, DOI 10.1007/s11027-006-1013-7 . - ISSN 1381-2386
Аннотация: This paper presents an overview of current satellite-based fire mapping activities at several institutions in Russia that provide operational fire monitoring at federal and regional levels. The current operational systems are based on data from the Advanced Very High Resolution Radiometer (AVHRR) and the TIROS Operational Vertical Sounder (TOVS) on the National Atmospheric and Oceanic Administration (NOAA) operational polar orbiting environmental satellite series. Detailed descriptions of the data acquisition and preprocessing systems, algorithms, and the suite of fire products are provided. Each institution has expertise in addressing a specific aspect of satellite-based fire mapping and monitoring. The methodologies described include proper georegistration of AVHRR data and elimination of false alarms while retaining a high active fire detection rate. Statistical and physical approaches are presented to account for, among other effects, reflection from bright surfaces and clouds, sun-glint, and atmospheric attenuation by smoke and haze. An approach for fire danger estimation is also presented. The fire mapping activities at the various institutions are being organized into a regional network within the international Global Observation of Forest and Landcover Dynamics (GOFC/GOLD) program. Concerted efforts will facilitate the implementation of processing systems for new and improved sensors, such as the Moderate Resolution Imaging Spectroradiometer (MODIS) on the experimental NASA Earth Observing System Terra and Aqua satellites and the Visible/Infrared/ Imager/Radiometer Suite on the next generation National Polar Orbiting Environmental Satellite System (NPOESS). В© Springer 2006.

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Держатели документа:
Space Research Institute (SRI), Russian Academy of Science (RAS), Russian Federation
Center on Forest Ecology and Productivity (CFEP) RAS
Institute of Solar-Terrestrial Physics (ISTP) Siberian Branch RAS
University of Maryland, United States
V. N. Sukachev Institute of Forest Siberian Branch RAS
Krasnoyarsk State University, Russian Federation
Institute of Atmospheric Optics, Siberian Branch RAS, Russian Federation

Доп.точки доступа:
Loupian, E.A.; Mazurov, A.A.; Flitman, E.V.; Ershov, D.V.; Korovin, G.N.; Novik, V.P.; Abushenko, N.A.; Altyntsev, D.A.; Koshelev, V.V.; Tashchilin, S.A.; Tatarnikov, A.V.; Csiszar, I.; Sukhinin, A.I.; Ponomarev, E.I.; Afonin, S.V.; Belov, V.V.; Matvienko, G.G.; Loboda, T.

/ V. I. Kharuk [et al.] // Mapping Sciences and Remote Sensing. - 2001. - Vol. 38, Is. 4. - P272-281 . - ISSN 0749-3878
Аннотация: A large-scale outbreak of the Siberian moth (Dendrolimus sibiricus) in the forests of the Lower Angara valley region (1993-1996) was analyzed on the basis of NOAA/AVHRR imaagery. The applicability of this type of imagery for detecting the foci of damage of tree stands with the discrimination of strong (50-75%) and very strong (>75%) dying and dead trees is demonstrated. The applicability of data from a winter survey was determined by the discovery of damaged tree stands. Summer/winter images were used in demarcating the northern boundary of the focal propagation of the Siberian moth.

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Forestry Institute, Siberian Section Russian Acad. Sci., Krasnoyarsk, Russian Federation

Доп.точки доступа:
Kharuk, V.I.; Kozhukhovskaya, A.A.; Pestunov, I.A.; Ranson, K.; Tsibul'skiy, G.M.

/ D. I. Nazimova [et al.] // Mapping Sciences and Remote Sensing. - 2001. - Vol. 38, Is. 3. - P212-221 . - ISSN 0749-3878
Аннотация: A method of utilizing low-resolution AVHRR imagery for the purpose of mapping and otherwise conducting an inventory of altitudinal zones of arboreal forest vegetation in mountainous areas of southern Siberia is described. Vegetation classes identified using the method are compared with those derived from more traditional field-based methods. The effects of date (season) of imaging on the accuracy of the method are discussed. Translated by Edward Torrey, Alexandria, Virginia from: Geografiya i prirodnyye resursy, 2000. No. 4, pp. 117-123.

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Держатели документа:
Forestry Institute, Siberian Section, Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Nazimova, D.I.; Polikarpov, N.P.; Sukhinin, A.I.; Fedotova, Ye.V.; Kharuk, V.I.

/ Ye. V. Fedotova [et al.] // Mapping Sciences and Remote Sensing. - 2000. - Vol. 37, Is. 1. - P55-65 . - ISSN 0749-3878
Аннотация: A team of Russian forestry scientists examines the applicability of NOAA/ AVHRR satellite imagery in further development of methods for mapping forested areas. Summertime images processed in IDRISI for an area bounded by 48В° and 71В°N and 86В° and 98В°E were analyzed. The accuracy of automated supervised classification maps (maximum likelihood method) was tested by comparison with conventional maps at a wide variety of scales. Special emphasis is placed on examining prospects for expanded use of NOAA/AVHRR imagery in solving problems related to global climate change: displacement of vegetation zones, change in forest productivity, and phenology of forest vegetation development.

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Держатели документа:
Forestry Ins., Siberian Section, Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Fedotova, Ye.V.; Burenina, T.A.; Kharuk, V.I.; Sukhinin, A.I.

/ E. I. Ponomarev, V. I. Kharuk, K. J. Ranson // Forests. - 2016. - Vol. 7, Is. 6, DOI 10.3390/f7060125 . - ISSN 1999-4907
Аннотация: Wildfire number and burned area temporal dynamics within all of Siberia and along a south-north transect in central Siberia (45°-73° N) were studied based on NOAA/AVHRR (National Oceanic and Atmospheric Administration/ Advanced Very High Resolution Radiometer) and Terra/MODIS (Moderate Resolution Imaging Spectroradiometer) data and field measurements for the period 1996-2015. In addition, fire return interval (FRI) along the south-north transect was analyzed. Both the number of forest fires and the size of the burned area increased during recent decades (p < 0.05). Significant correlations were found between forest fires, burned areas and air temperature (r = 0.5) and drought index (The Standardized Precipitation Evapotranspiration Index, SPEI) (r = -0.43). Within larch stands along the transect, wildfire frequency was strongly correlated with incoming solar radiation (r = 0.91). Fire danger period length decreased linearly from south to north along the transect. Fire return interval increased from 80 years at 62° N to 200 years at the Arctic Circle (66°33' N), and to about 300 years near the northern limit of closed forest stands (about 71°+ N). That increase was negatively correlated with incoming solar radiation (r = -0.95). © 2016 by the authors.

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Держатели документа:
V.N. Sukachev Institute of Forest, Siberian Branch of Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
NASA Goddard Space Flight Center, Greenbelt, MD, United States

Доп.точки доступа:
Ponomarev, E. I.; Kharuk, V. I.; Ranson, K. J.