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

: материалы временных коллективов / Е. И. Пономарев [и др.] // Дистанционные методы в лесоустройстве и учете лесов. Приборы и технологии. - Красноярск : ИЛ СО РАН, 2005. - С. 78-81 : ил. - Библиогр. в конце ст.
Аннотация: В работе рассматривается вопрос применимости спутниковых данных низкого разрешения TERRA/Modis для решения задачи обзорного картографирования высотно-зональных природных комплексов, рассмотренной на примере территории Государственного заповедника "Столбы". Предложена технология обработки данных TERRA/Modis для задачи обзорного картографирования.

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

Доп.точки доступа:
Пономарев, Евгений Иванович; Ponomaryev, Evgeny Ivanovich; Гостева, Анна Александровна; Gostyeva A.A.; Ерунова, М.Г.; Yerunova M.G.; Дробушевская, Ольга Владимировна; Drobushevskaya, Ol'ga Vladimirovna; Назимова, Дина Ивановна; Nazimova, Dina Ivanovna

: материалы временных коллективов / О. В. Дробушевская, Е. И. Пономарев // Ботанические исследования в Сибири. - Красноярск : Красноярское отд. Российского бот. о-ва, 2006. - Вып. 14. - С. 35-38
Аннотация: Задача исследований - оценить возможность сравнения сроков наступления фенологических фаз развития растительности в смежных высотно-поясных комплексах с использованием спутниковых данных низкого разрешения TERRA/Modis.

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

Доп.точки доступа:
Пономарев, Евгений Иванович; Ponomaryev, Evgeny Ivanovich; Drobushevskaya, Ol'ga Vladimirovna
Имеются экземпляры в отделах:
РСФ (22.06.2006г. (1 экз.) - Б.ц.) - свободны 1

: материалы временных коллективов / С. А. Барталев [и др.] // Пожары в лесных экосистемах Сибири: материалы Всероссийской конф. с межд. участием, 17-19 сентября 2008 г., Красноярск. - 2008. - С. 91-93. - Библиогр. в конце ст.
Аннотация: Одним из основных направлений российско-европейского проекта SibFORD, выполняемого при поддержке программы ИНТАС, является разработка методов использования спутниковых данных для оценки вызываемых воздействием пожаров эмиссий углерода в бореальных лесах. В работе обсуждаются методы выявления поврежденных огнем насаждений, оценки степени повреждения лесов и объемов эмитированного в процессе горения в атмосферу углерода по результатам обработки данных Terra-MODIS и ГИС-моделирования.

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

Доп.точки доступа:
Барталев, С.А.; Bartalyev S.A.; Егоров, В.А.; Yegorov V.A.; Ершов, Д.В.; Yershov D.V.; Корец, Михаил Анатольевич; Korets, Mikhail Anatol'yevich

: материалы временных коллективов / А. В. Рубцов // Исследование земли из космоса. - 2010. - № 3. - С. 62-70. - Библиогр. в конце ст.
Аннотация: Приводятся результаты прогнозирования возникновения и развития крупных лесных пожаров на территории Сибири. Для оценки пожарных рисков использованы канадская система погодной пожарной опасности лесов (CFFWIS) и российские показатели влажности (ПВ1, ПВ2), входными метеопеременными которых послужили данные из сети метеостанций. Параметры пожаров детектированы по информации со спутников NOAA за 13 лет (1996-2008 гг.). Для определения продолжительности противоопасного сезона дополнительно использованы данные о наличии снежного покрова, полученные по измерениям Terra/MODIS. Учитываются особенности возникновения пожаров на территориях с разными типами горючих материалов. Статистический анализ площадей и количества пожаров, характерных для каждого класса растительности, рассчитан с использованием карты растительности GLC2000.

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

Доп.точки доступа:
Рубцов, А.В.; Сухинин, Анатолий Иванович; Sukhinin, Anatoly Ivanovich; Ваганов, Евгений Александрович; Vaganov, Yevgeny Alexandrovich; Rubtsov A.V.
Имеются экземпляры в отделах:
(27.09.2016г. - Б.ц.) (свободен)

: материалы временных коллективов / H. Balzter [и др.] // Environmental change in Siberia: earth observation, field studies and modelling. - Dordrecht et. al. : Springer, 2010. - С. 21-36. - Библиогр. в конце ст.
Аннотация: This paper presents an intercomparison of two burned area datasets, the L3JRC daily global burned area dataset derived from SPOT-VEGETATION and FFID burned area dataset from MODIS. Burned area dynamics are presented and the influence of climate on the fire regime is discussed. Feedbacks of the fire dynamics to the climate system are evaluated. The Russian fire danger index is presented and compared to satellite observation of fires.

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

Доп.точки доступа:
Balzter, H.; Балзтер Х.; Taнси К.; Tansy K.; Kaдук Дж., J.; Kaduk J.; Sukhinin, Anatoly Ivanovich; Сухинин, Анатолий Иванович; Ponomayrev, Evgeny Ivanovich; Пономарев, Евгений Иванович

: материалы временных коллективов / E. G. Shvetsov, A. I. Sukhinin // Boreal forests in a changing world: challenges and needs for action: Proceedings of the International conference August 15-21 2011, Krasnoyarsk, Russia. - Krasnoyarsk : V.N. Sukachev Institute of forest SB RAS, 2011. - С. 176-179. - Библиогр. в конце ст.
Аннотация: The heat release intensity on the forest fireline is the important wildfire characteristic. The energy parametersof large wildfires detected in the several regions of Eastern Siberia in 2006-2009 were estimated using MODIS data. The dynamics of wildfires release rate was analyzed in relation to weather conditions.

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; Швецов, Евгений Геннадьевич

/ E. A. Kukavskaya [et al.] // Can. J. For. Res.-Rev. Can. Rech. For. - 2013. - Vol. 43, Is. 5. - P493-506, DOI 10.1139/cjfr-2012-0367. - Cited References: 65. - The authors gratefully acknowledge financial support from the National Aeronautics and Space Administration (NASA), Land Cover Land Use Change (LCLUC), Terrestrial Ecology (TE), and Inter-DiSciplinary (IDS) projects, all of which fall under the Northern Eurasia Earth Science Partnership Initiative (NEESPI) domain; the Institute of International Education, Fulbright Scholar Program; the Russian Foundation for Basic Research (Grant No. 12-04-31258; FGP "Scientific and scientific-pedagogical staff of innovative Russia"; and the Russian Academy of Sciences. . - 14. - ISSN 0045-5067РУБ Forestry

Аннотация: Boreal forests constitute the world's largest terrestrial carbon pools. The main natural disturbance in these forests is wildfire, which modifies the carbon budget and atmosphere, directly and indirectly. Wildfire emissions in Russia contribute substantially to the global carbon cycle and have potentially important feedbacks to changing climate. Published estimates of carbon emissions from fires in Russian boreal forests vary greatly depending on the methods and data sets used. We examined various fire and vegetation products used to estimate wildfire emissions for Siberia. Large (up to fivefold) differences in annual and monthly area burned estimates for Siberia were found among four satellite-based fire data sets. Official Russian data were typically less than 10% of satellite estimates. Differences in the estimated proportion of annual burned area within each ecosystem were as much as 40% among five land-cover products. As a result, fuel consumption estimates would be expected to vary widely (3%-98%) depending on the specific vegetation mapping product used and as a function of weather conditions. Verification and validation of burned area and land-cover data sets along with the development of fuel maps and combustion models are essential for accurate Siberian wildfire emission estimates, which are central to balancing the carbon budget and assessing feedbacks to climate change.

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Держатели документа:
[Kukavskaya, Elena A.
Ponomarev, Evgeni I.
Ivanova, Galina A.] VN Sukachev Inst Forest SB RAS, Krasnoyarsk 660036, Russia
[Soja, Amber J.] Natl Inst Aerosp, Hampton, VA 23666 USA
[Soja, Amber J.] NASA, Langley Res Ctr, Hampton, VA 23681 USA
[Petkov, Alexander P.
Conard, Susan G.] US Forest Serv, USDA, Rocky Mt Res Stn, Missoula, MT 59808 USA
[Conard, Susan G.] George Mason Univ, Fairfax, VA 22030 USA

Доп.точки доступа:
Kukavskaya, E.A.; Кукавская, Елена Александровна; Soja, A.J.; Petkov, A.P.; Ponomarev, E.I.; Пономарев, Евгений Иванович; Ivanova, G.A.; Иванова, Галина Александровна; Conard, S.G.

[Text] / D. . Pflugmacher [et al.] // Remote Sens. Environ. - 2011. - Vol. 115, Is. 12. - P3539-3553, DOI 10.1016/j.rse.2011.08.016. - Cited References: 65. - The research was supported by the Land Cover/Land-Use Change Program of the National Aeronautics and Space Administration (grant numbers NNGO6GF54G and NNX09AK88G) and in part by the Asia-Pacific Network for Global Change Research and the Alexander von Humboldt Foundation. We like to thank Dr. Curtis Woodcock for his advice in the early planning of this study, and Gretchen Bracher for preparing graphs. We are also thankful for the comments of two anonymous reviewers that helped to improve this manuscript. . - 15. - ISSN 0034-4257РУБ Environmental Sciences + Remote Sensing + Imaging Science & Photographic Technology

Аннотация: Information on land cover at global and continental scales is critical for addressing a range of ecological, socioeconomic and policy questions. Global land cover maps have evolved rapidly in the last decade, but efforts to evaluate map uncertainties have been limited, especially in remote areas like Northern Eurasia. Northern Eurasia comprises a particularly diverse region covering a wide range of climate zones and ecosystems: from arctic deserts, tundra, boreal forest, and wetlands, to semi-arid steppes and the deserts of Central Asia. In this study, we assessed four of the most recent global land cover datasets: GLC-2000, GLOBCOVER, and the MODIS Collection 4 and Collection 5 Land Cover Product using cross-comparison analyses and Landsat-based reference maps distributed throughout the region. A consistent comparison of these maps was challenging because of disparities in class definitions, thematic detail, and spatial resolution. We found that the choice of sampling unit significantly influenced accuracy estimates, which indicates that comparisons of reported global map accuracies might be misleading. To minimize classification ambiguities, we devised a generalized legend based on dominant life form types (LFT) (tree, shrub, and herbaceous vegetation, barren land and water). LFT served as a necessary common denominator in the analyzed map legends, but significantly decreased the thematic detail. We found significant differences in the spatial representation of LFT's between global maps with high spatial agreement (above 0.8) concentrated in the forest belt of Northern Eurasia and low agreement (below 0.5) concentrated in the northern taiga-tundra zone, and the southern dry lands. Total pixel-level agreement between global maps and six test sites was moderate to fair (overall agreement: 0.67-0.74, Kappa: 0.41-0.52) and increased by 0.09-0.45 when only homogenous land cover types were analyzed. Low map accuracies at our tundra test site confirmed regional disagreements and difficulties of current global maps in accurately mapping shrub and herbaceous vegetation types at the biome borders of Northern Eurasia. In comparison, tree dominated vegetation classes in the forest belt of the region were accurately mapped, but were slightly overestimated (10%-20%), in all maps. Low agreement of global maps in the northern and southern vegetation transition zones of Northern Eurasia is likely to have important implications for global change research, as those areas are vulnerable to both climate and socio-economic changes. (C) 2011 Elsevier Inc. All rights reserved.

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Держатели документа:
[Pflugmacher, Dirk
Krankina, Olga N.
Kennedy, Robert E.
Nelson, Peder] Oregon State Univ, Dept Forest Ecosyst & Soc, Corvallis, OR 97331 USA
[Cohen, Warren B.] US Forest Serv, USDA, Pacific NW Res Stn, Forestry Sci Lab, Corvallis, OR 97331 USA
[Friedl, Mark A.
Sulla-Menashe, Damien] Boston Univ, Dept Geog & Environm, Boston, MA 02215 USA
[Loboda, Tatiana V.] Univ Maryland, Dept Geog, College Pk, MD 20742 USA
[Kuemmerle, Tobias] Potsdam Inst Climate Impact Res PIK, D-14412 Potsdam, Germany
[Dyukarev, Egor] Inst Monitoring Climat & Ecol Syst, Tomsk 634021, Russia
[Elsakov, Vladimir] Russian Acad Sci, Komi Sci Ctr, Inst Biol, Syktyvkar 167610, Russia
[Kharuk, Viacheslav I.] VN Sukachev Inst Forest, Krasnoyarsk, Russia

Доп.точки доступа:
Pflugmacher, D...; Krankina, O.N.; Cohen, W.B.; Friedl, M.A.; Sulla-Menashe, D...; Kennedy, R.E.; Nelson, P...; Loboda, T.V.; Kuemmerle, T...; Dyukarev, E...; Elsakov, V...; Kharuk, V.I.

[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] / D. . Sulla-Menashe [et al.] // Remote Sens. Environ. - 2011. - Vol. 115, Is. 2. - P392-403, DOI 10.1016/j.rse.2010.09.010. - Cited References: 71. - The research was supported by NASA grant numbers NNG06GF54G and NNX08AE61A. An additional thanks goes to Dr. Bin Tan who was instrumental in implementing the MODIS classification algorithms, and to the rest of the NELDA team for helpful input and discussions. . - 12. - ISSN 0034-4257РУБ Environmental Sciences + Remote Sensing + Imaging Science & Photographic Technology

Аннотация: The Northern Eurasian land mass encompasses a diverse array of land cover types including tundra, boreal forest, wetlands, semi-arid steppe, and agricultural land use. Despite the well-established importance of Northern Eurasia in the global carbon and climate system, the distribution and properties of land cover in this region are not well characterized. To address this knowledge and data gap, a hierarchical mapping approach was developed that encompasses the study area for the Northern Eurasia Earth System Partnership Initiative (NEESPI). The Northern Eurasia Land Cover (NELC) database developed in this study follows the FAO-land Cover Classification System and provides nested groupings of land cover characteristics, with separate layers for land use, wetlands, and tundra. The database implementation is substantially different from other large-scale land cover datasets that provide maps based on a single set of discrete classes. By providing a database consisting of nested maps and complementary layers, the NELC database provides a flexible framework that allows users to tailor maps to suit their needs. The methods used to create the database combine empirically derived climate-vegetation relationships with results from supervised classifications based on Moderate Resolution Imaging Spectroradiometer (MODIS) data. The hierarchical approach provides an effective framework for integrating climate-vegetation relationships with remote sensing-based classifications, and also allows sources of error to be characterized and attributed to specific levels in the hierarchy. The cross-validated accuracy was 73% for the land cover map and 73% and 91% for the agriculture and wetland classifications, respectively. These results support the use of hierarchical classification and climate-vegetation relationships for mapping land cover at continental scales. (C) 2010 Elsevier Inc. All rights reserved.

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Держатели документа:
[Sulla-Menashe, Damien
Friedl, Mark A.
Woodcock, Curtis E.
Sibley, Adam] Boston Univ, Dept Geog & Environm, Boston, MA 02215 USA
[Krankina, Olga N.] Oregon State Univ, Coll Forestry, Dept Forest Sci, Corvallis, OR 97331 USA
[Baccini, Alessandro] Woods Hole Res Ctr, Falmouth, MA 02540 USA
[Sun, Guoqing] NASA, GSFC, Biospher Sci Branch, Greenbelt, MD 20770 USA
[Kharuk, Viacheslav] Acad Gorodok Krasnoyarsk, Sukachev Forest Inst, Forest Ecol & Monitoring Branch, Krasnoyarsk 660036, Russia
[Elsakov, Vladimir] Russian Acad Sci, Inst Biol, Komi Sci Ctr, Syktyvkar 167610, Russia

Доп.точки доступа:
Sulla-Menashe, D...; Friedl, M.A.; Krankina, O.N.; Baccini, A...; Woodcock, C.E.; Sibley, A...; Sun, G.Q.; Kharuk, V...; Elsakov, V...

[Text] / K. J. Ranson [et al.] // Remote Sens. Environ. - 2004. - Vol. 93, Is. 3. - P283-295, DOI 10.1016/j.rse.2004.06.019. - Cited References: 38 . - 13. - ISSN 0034-4257РУБ Environmental Sciences + Remote Sensing + Imaging Science & Photographic Technology

Аннотация: Monitoring the dynamics of the circumpolar boreal forest (taiga) and Arctic tundra boundary is important for understanding the causes and consequences of changes observed in these areas. This ecotone, the world's largest, stretches for over 13,400 km and marks the transition between the northern limits of forests and the Southern margin of the tundra. Because of the inaccessibility and large extent of this zone, remote sensing data can play an important role for mapping the characteristics and monitoring the dynamics. Basic understanding of the capabilities of existing space borne instruments for these purposes is required. In this study we examined the use of several remote sensing techniques for characterizing the existing tundra-taiga ecotone. These include Landsat-7, MISR, MODIS and RADARSAT data. Historical cover maps, recent forest stand measurements and high-resolution IKONOS images were used for local ground truth. It was found that a tundra-taiga transitional area can be characterized using multi-spectral Landsat ETM+ summer images, multi-angle MISR red band reflectance images, RADARSAT images with larger incidence angle, or multi-temporal and multi-spectral MODIS data. Because of different resolutions and spectral regions covered, the transition zone maps derived from different data types were not identical, but the general patterns were consistent. (C) 2004 Published by Elsevier Inc.

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NASA, Goddard Space Flight Ctr, Biospher Sci Branch, Greenbelt, MD 20771 USA
Univ Maryland, Dept Geog, College Pk, MD 20742 USA
Academogorodok, VN Sukachev Inst Forest, Krasnoyarsk, Russia
Sci Syst & Applicat Inc, Lanham, MD USA

Доп.точки доступа:
Ranson, K.J.; Sun, G...; Kharuk, V.I.; Kovacs, K...

[Text] / K. . Kovacs [et al.] // Earth Interact. - 2004. - Vol. 8. - Ст. 18. - Cited References: 28. - This work was funded by NASA's Office for Earth Sciences. Thanks to Marc Imhoff for access to DMSP stable lights data. We also thank the anonymous reviewers for their thoughtful suggestions. . - 25. - ISSN 1087-3562РУБ Geosciences, Multidisciplinary

Аннотация: Fires are a common occurrence in the Siberian boreal forest. The thermal anomalies product of the Terra/Moderate Resolution Imaging Spectroradiometer (MODIS) product suite is designed to detect thermal anomalies (i.e., hotspots or fires) on the Earth's surface. Many, but not all, of the hot spots detected by MODIS in Siberia are wild fires. Agricultural burning and industrial activities also contribute. Using MODIS data from the years 2001, 2002, and 2003 along with a geographical information system (GIS), the type, extent, and duration of hot spots were examined. In addition, high correlations were found between the number of fires and proximity to human activities. Different types of land-cover thermal anomalies were found to have a strong, positive correlation with some anthropogenic features, such as roads, human settlements, and mineral industry locations. The agricultural (r(2) = 0.95) and the forest (r(2) = 0.81) thermal anomalies had the highest positive correlation with proximity to roads. The correlation was stronger between burned forests and roads (r(2001)(2) = 0.81, r(2002)(2) = 0.90, r(2003)(2) = 0.88) than between any forested land and roads (r(2) = 0.52). The results indicate that forest fires tend to occur near agricultural fires (r(2001)(2) 0.93, r(2002)(2) = 0.87, r(2003)(2) = 0.94). Anthropogenic feature and land-cover thermal anomaly (LCTA) relationships tend to be stronger in a high fire year (2003) than in a low fire year (2001). This alone does imply causation, but might be an indicator of natural and anthropogenic factors acting together to shape where and when fires are burning. These findings have important implications for carbon and climate modelers wishing to use MODIS products to quantify and predict carbon storage and climate change.

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Держатели документа:
[Kovacs, Katalin] Sci Syst & Applicat Inc, Seabrook, MD 20706 USA
[Ranson, K. Jon] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[Sun, Guoqing] Univ Maryland, College Pk, MD 20742 USA
[Kharuk, Vlacheslav I.] Sukachev Inst Forest, Krasnoyarsk, Russia

Доп.точки доступа:
Kovacs, K...; Ranson, K.J.; Sun, G.Q.; Kharuk, V.I.; NASA's Office for Earth Sciences

[Текст] : материалы временных коллективов / С. Т. Им, В. И. Харук // Исследование земли из космоса. - 2013. - № 5. - С. 32-44. - Библиогр. в конце ст.
Аннотация: Исследована пространственно-временная динамика экотона горной лесотундры плато Путорана за последние 36 лет на основе космических съемок Landsat (1973, 2009 гг.), Hexagon (1976 г.), Quickbird (2005 г.) и Terra MODIS (2002–2009 гг.). Выделены три основные категории наземного покрова: редколесья с сомкнутостью >0.2; редины с сомкнутостью <0.2 и кустарники; фоновые территории. Площадь редколесий увеличилась на 60%. Этому способствовало увеличение сомкнутости в рединах. Наблюдаемое явление в основном отмечено вдоль долины реки. В зонах роста сомкнутости наблюдается увеличение вегетационного индекса NDVI на 0.14. Рост среднегодовой температуры в течение трех декад конца 20 в. способствовал продвижению древесной растительности по высоте не более чем на 15 м над уровнем моря, и появлению трех новых деревьев на гектар. С ростом высоты над уровнем моря деревья предпочитают локальные депрессии на юго-восточных склонах с крутизной до 30°.

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Институт леса им. В.Н. Сукачева СО РАН : 660036 Красноярск, Академгородок 50, стр. 28

Доп.точки доступа:
Им, Сергей Тхекдеевич; Харук, Вячеслав Иванович; Kharuk, Viacheslav I.; Im, Sergey Tkhekdyeyevich

[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

[Text] / CSR Neigh [et al.] // Remote Sens. Environ. - 2013. - Vol. 137. - P274-287, DOI 10.1016/j.rse.2013.06.019. - Cited References: 75. - This study was made possible by NASA's Terrestrial Ecology program under grants NNH08ZDA001N-TE and NNH06ZDA001N-CARBON. We also acknowledge the NSERC Discovery Grant to Hank Margolis for contributing partial support for the airborne data collection in Canada. We would like to thank three anonymous reviewers who improved the quality and content of this manuscript. We would also like to thank Sergi Im, Mukhtar Naurzbaev, Pasha Oskorbin, and Marsha Dvinskaya of the Sukachev Institute of Forest and Bruce Cook from the NASA Goddard Space Flight Center for help in collecting field measurements in Siberia. . - 14. - ISSN 0034-4257РУБ Environmental Sciences + Remote Sensing + Imaging Science & Photographic Technology

Аннотация: The boreal forest accounts for one-third of global forests, but remains largely inaccessible to ground-based measurements and monitoring. It contains large quantities of carbon in its vegetation and soils, and research suggests that it will be subject to increasingly severe climate-driven disturbance. We employ a suite of ground-, airborne- and space-based measurement techniques to derive the first satellite LiDAR-based estimates of aboveground carbon for the entire circumboreal forest biome. Incorporating these inventory techniques with uncertainty analysis, we estimate total aboveground carbon of 38 +/- 3.1 Pg. This boreal forest carbon is mostly concentrated from 50 to 55 degrees N in eastern Canada and from 55 to 60 degrees N in eastern Eurasia. Both of these regions are expected to warm >3 degrees C by 2100, and monitoring the effects of warming on these stocks is important to understanding its future carbon balance. Our maps establish a baseline for future quantification of circumboreal carbon and the described technique should provide a robust method for future monitoring of the spatial and temporal changes of the aboveground carbon content. Published by Elsevier Inc.

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Держатели документа:
[Neigh, Christopher S. R.
Nelson, Ross F.
Ranson, K. Jon
Montesano, Paul M.
Sun, Guoqing] NASA, Biospher Sci Lab, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[Margolis, Hank A.] Univ Laval, Ctr Etud Foret, Quebec City, PQ G1V 0A6, Canada
[Montesano, Paul M.] Sigma Space Corp, Lanham, MD 20705 USA
[Montesano, Paul M.
Sun, Guoqing] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
[Kharuk, Viacheslav] Russian Acad Sci, Sukachev Inst Forest, Krasnoyarsk 660036, Russia
[Naesset, Erik] Norwegian Univ Life Sci, Dept Ecol & Nat Resource Management, NO-1432 As, Norway
[Wulder, Michael A.] Nat Resources Canada, Pacific Forestry Ctr, Canadian Forest Serv, Victoria, BC V82Z 1M5, Canada
[Andersen, Hans-Erik] Univ Washington, US Forest Serv, Pacific NW Res Stn, Seattle, WA 98195 USA

Доп.точки доступа:
Neigh, CSR; Nelson, R.F.; Ranson, K.J.; Margolis, H.A.; Montesano, P.M.; Sun, G.Q.; Kharuk, V...; Naesset, E...; Wulder, M.A.; Andersen, H.E.; NASA [NNH08ZDA001N-TE, NNH06ZDA001N-CARBON]; NSERC Discovery Grant

[Text] / Y. L. Liu [et al.] // Glob. Planet. Change. - 2013. - Vol. 108. - P85-99, DOI 10.1016/j.gloplacha.2013.06.008. - Cited References: 134. - This research is supported by the NASA Land Use and Land Cover Change program (NASA-NNX09AI26G, NN-H-04-Z-YS-005-N, and NNX09AM55G), the Department of Energy (DE-FG02-08ER64599), the National Science Foundation (NSF-1028291 and NSF-0919331), and the NSF Carbon and Water in the Earth Program (NSF-0630319). The computing is supported by the Rosen Center of High Performance Computing at Purdue University. Special acknowledgment is made here to Prof. Eric Wood of Princeton University for his generous provision of ET dataset in the Vinukollu et al. (2011). Diego Miralles acknowledges the support by the European Space Agency WACMOS-ET project (contract no.4000106711/12/I-NB). . - 15. - ISSN 0921-8181РУБ Geography, Physical + Geosciences, Multidisciplinary

Аннотация: Adequate quantification of evapotranspiration (ET) is crucial to assess how climate change and land cover change (LCC) interact with the hydrological cycle of terrestrial ecosystems. The Mongolian Plateau plays a unique role in the global climate system due to its ecological vulnerability, high sensitivity to climate change and disturbances, and limited water resources. Here, we used a version of the Terrestrial Ecosystem Model that has been modified to use Penman-Monteith (PM) based algorithms to calculate ET. Comparison of site-level ET estimates from the modified model with ET measured at eddy covariance (EC) sites showed better agreement than ET estimates from the MODIS ET product, which overestimates ET during the winter months. The modified model was then used to simulate ET during the 21st century under six climate change scenarios by excluding/including climate-induced LCC. We found that regional annual ET varies from 188 to 286 mm yr(-1) across all scenarios, and that it increases between 0.11 mm yr(-2) and 0.55 mm yr(-2) during the 21st century. A spatial gradient of ET that increases from the southwest to the northeast is consistent in all scenarios. Regional ET in grasslands, boreal forests and semi-desert/deserts ranges from 242 to 374 mm yr(-1), 213 to 278 mm yr(-1) and 100 to 199 mm yr(-1), respectively; and the degree of the ET increase follows the order of grassland, semi-desert/desert, and boreal forest. Across the plateau, climate-induced LCC does not lead to a substantial change (<5%) in ET relative to a static land cover, suggesting that climate change is more important than LCC in determining regional ET. Furthermore, the differences between precipitation and ET suggest that the available water for human use (water availability) on the plateau will not change significantly during the 21st century. However, more water is available and less area is threatened by water shortage in the Business-As-Usual emission scenarios relative to level-one stabilization emission scenarios. (C) 2013 Elsevier B.V. All rights reserved.

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Держатели документа:
[Liu, Yaling
Zhuang, Qianlai
Chen, Min
He, Yujie] Purdue Univ, Dept Earth Atmospher & Planetary Sci, W Lafayette, IN 47907 USA
[Zhuang, Qianlai
Bowling, Laura] Purdue Univ, Dept Agron, W Lafayette, IN 47907 USA
[Pan, Zhihua] China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China
[Pan, Zhihua] Minist Agr, Key Ecol & Environm Expt Stn Field Sci Observat H, Inner Mongolia 011705, Peoples R China
[Tchebakova, Nadja
Parfenova, Elena] Russian Acad Sci, VN Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia
[Sokolov, Andrei] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA
[Kicklighter, David
Melillo, Jerry] Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA
[Sirin, Andrey] Russian Acad Sci, Inst Forest Sci, Lab Peatland Forestry & Ameliorat, Uspenskoye 143030, Moscow Oblast, Russia
[Zhou, Guangsheng] Chinese Acad Sci, State Key Lab Vegetat & Environm Change, Inst Bot, Beijing 100093, Peoples R China
[Chen, Jiquan] Univ Toledo, Dept Environm Sci, Toledo, OH 43606 USA
[Miralles, Diego] Univ Bristol, Sch Geog Sci, Bristol, Avon, England

Доп.точки доступа:
Liu, Y.L.; Zhuang, Q.L.; Chen, M...; Pan, Z.H.; Tchebakova, N...; Sokolov, A...; Kicklighter, D...; Melillo, J...; Sirin, A...; Zhou, G.S.; He, Y.J.; Chen, J.Q.; Bowling, L...; Miralles, D...; Parfenova, E...; NASA [NASA-NNX09AI26G, NN-H-04-Z-YS-005-N, NNX09AM55G]; Department of Energy [DE-FG02-08ER64599]; National Science Foundation [NSF-1028291, NSF-0919331, NSF-0630319]; European Space Agency WACMOS-ET project [4000106711/12/I-NB]

/ M. Y. Chernetskiy, A. P. Shevyrnogov, N. F. Ovchinnikova // Proceedings of SPIE - The International Society for Optical Engineering. - 2011. - Vol. 8174: Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII (19 September 2011 through 21 September 2011, Prague) Conference code: 87191. - Ст. 1, DOI 10.1117/12.896748 . -
Аннотация: The time series of various parameters of satellite imagery (NDVI/EVI, temperature) during the growing season were considered in this work. This means that satellite images were considered not like a number of single scenes but like temporal sequences. Using time series enables estimating the integral phenological properties of vegetation. The basis of the developed technique is to use one of the methods of transformation of the multidimensional space in order to get the principal components. The technique is based on considering each dimension of the multidimensional space as satellite imagery for a specific date range. The technique automatically identifies spatial patterns of vegetation that are similar by phenology and growing conditions. Subsequent analysis allowed identification of the belonging of derived classes. Thus, the technique of revealing the spatial distribution of different dynamical vegetation patterns based on the phenological characteristics has been developed. The technique is based on a transformation of the multidimensional space of states of vegetation. Based on the developed technique, areas were obtained with similar interannual trends. В© 2011 SPIE.

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Держатели документа:
Institute of Biophysics of SB RAS, Krasnoyarsk 660036, Akademgorodok, Russian Federation
V.N. Sukachev Institute of Forest of SB RAS, Krasnoyarsk 660036, Akademgorodok, Russian Federation
Siberian Federal University, Kyrensky st., 26, Krasnoyarsk, 660074, Russian Federation

Доп.точки доступа:
Chernetskiy, M.Y.; Shevyrnogov, A.P.; Ovchinnikova, N.F.

/ V. I. Kharuk, K. J. Ranson, E. V. Fedotova // Scandinavian Journal of Forest Research. - 2007. - Vol. 22, Is. 6. - P531-536, DOI 10.1080/02827580701763656 . - ISSN 0282-7581
Аннотация: The latest catastrophic Siberian silkmoth (Dendrolimus superans sibiricus Tschetw.) outbreak occurred in central Siberia during 1994-1996. The relationship between forest stand mortality from insects and topographic features (azimuth, elevation, slope steepness) was analyzed based on a high-resolution digital elevation model, a pest damage map and Terra/MODIS data. It was found that pest-induced forest mortality patterns depend on topographic features. Before the outbreak the major part of host forest species was found within the elevation zone of 150-500 m. After the outbreak, surviving dark-needle stands were found mainly at elevations higher than 400 m. The greatest damage was observed at elevations between 210 and 320 m, whereas maximum mortality was observed at elevations of about 200 m and minimal mortality at elevations of 300 m. With respect to slope steepness, maximum damage for all categories was observed for slopes of 5-20В°. Slightly damaged stands were most common at low slope angle (about 5В° or less), whereas the highest proportion of stands with high tree mortality was found on steeper slopes. With respect to azimuth, insect damage is mostly uniform, with a small increase in damage on the south-west-facing slopes. The spatial pattern of the silkmoth outbreak can provide a basis for prioritizing Siberian silkmoth outbreak monitoring. В© 2007 Taylor & Francis.

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Держатели документа:
Sukachev Institute of Forest, Krasnoyarsk, Russian Federation
NASA's Goddard Space Flight Center, Greenbelt, MD, United States

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

/ K. J. Ranson [et al.] // International Geoscience and Remote Sensing Symposium (IGARSS). - 2007. - 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 (23 June 2007 through 28 June 2007, Barcelona) Conference code: 71398. - Ст. 4423302. - P2306-2309, DOI 10.1109/IGARSS.2007.4423302 . -
Аннотация: Mapping of boreal forest's type, structure parameters and biomass are critical for understanding the boreal forest's significance in the carbon cycle, its response to and impact on global climate change. The biggest deficiency of the existing ground based forest inventories is the uncertainty in the inventory data, particularly in remote areas of Siberia where sampling is sparse, lacking, and often decades old. Remote sensing methods can overcome these problems. In this study, we used the moderate resolution imaging spectroradiometer (MODIS) and unique waveform data of the geoscience laser altimeter system (GLAS) and produced a map of timber volume for a 10В°?12В° area in Central Siberia. Using these methods, the mean timber volume for the forested area in the total study area was 203 m3/ ha. The new remote sensing methods used in this study provide a truly independent estimate of forest structure, which is not dependent on traditional ground forest inventory methods. В© 2007 IEEE.

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Держатели документа:
NASA GSFC, Code 614.4, Greenbelt, MD 20771, United States
Department of Geography, University of Maryland, College Park, MD 20742, United States
Sukachev Institute of Forest, Krasnoyarsk, Russian Federation
Science Systems and Applications Inc., Lanham, MD 20706, United States

Доп.точки доступа:
Ranson, K.J.; Nelson, R.; Kimes, D.; Sun, G.; Kharuk, V.; Montesano, P.

/ 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.