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

: научное издание / A. V. Volokitina, M. A. Sofronov. - Krasnoyarsk : V.N. Sukachev Institute of forest SB RAS, 2002. - 44 с. : ил., табл. - Библиогр.: с. 40-43. - 100 экз. - Б. ц.
Аннотация: The monograph considers problems of vegetation fuel (VF) mapping. Such mapping is indispensable for creation of the information database in the Russian system of forest and other vegetation fires behaviour and consequences forecast. The volume cantains scientific fundamentals of VF mapping as well as methods and techniques of VF mapping at different scales (including computer technologies together with forest inventory data).

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

Доп.точки доступа:
Sofronov, Mark Adrianovich
Экземпляры всего: 1
РСФ (1)
Свободны: РСФ (1)

[Текст] = Determination of potential habitat types of plants using GIS : материалы временных коллективов / С. Д. Бабой // Исследование компонентов лесных экосистем Сибири: Материалы конференции молодых ученых, 5-6 апреля 2012 г. , Красноярск. - Красноярск : Институт леса им. В.Н. Сукачева СО РАН , 2012. - Вып.13. - С. 3-5. - Библиогр.: с. 5
Аннотация: Process of determination of potential habitats involves several steps: a) the choice of species, b) study of ecology of the species, c) entry into the GIS database on the occurrence of certain species in the landscape and ecological definitions (a series of forest type, forest type, the natural-ecological zone, etc.) or a point mapping of species (mainly for the endemics)

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

Доп.точки доступа:
Baboy Semyen Dmitriyevich

/ 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.

/ V. . Ryzhkova, I. . Danilova // Bosque. - 2012. - Vol. 33, Is. 3. - P293-297, DOI 10.4067/S0717-92002012000300011. - Cited References: 15. - This study was supported by Russian Foundation for Basic Research project 10-05-0094, project ZAPAS (Assessment and Monitoring of Forest Resources in the Framework of the EU-Russia Space Dialogue), project 27.32 (Basic Research Program of Presidium RAS) and Interdisciplinary project 14. . - 5. - ISSN 0304-8799РУБ Ecology + Forestry

Аннотация: A method of automated classification and mapping based on a spatial analysis of a digital elevation model (Shuttle Radar Topography Mission (SRTM 90m), Landsat 5-TM imagery, and ground data was applied to classify and map forest site conditions and vegetation on a test site. The vector maps obtained reflected the test site potential environmental conditions, forest types, and regenerating vegetation age stages.

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Держатели документа:
[Ryzhkova, Vera
Danilova, Irina] Russian Acad Sci, Siberian Branch, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Ryzhkova, V...; Danilova, I...

[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] / 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] / O. P. Sekretenko [et al.] ; ed.: A Stein, E Pebesma, Pebesma, // SPATIAL STATISTICS 2011: MAPPING GLOBAL CHANGE. Ser. Procedia Environmental Sciences : ELSEVIER SCIENCE BV, 2011. - Vol. 7: 1st International Conference on Spatial Statistics - Mapping Global Change (MAR 23-25, 2011, Enschede, NETHERLANDS). - P230-233, DOI 10.1016/j.proenv.2011.07.040. - Cited References: 4 . - 4. - ISBN 1878-0296РУБ Environmental Sciences + Meteorology & Atmospheric Sciences

Аннотация: The coloration of forest insects changes as their population density increases or decreases. Using the geostatistical method allowed us to determine the population dynamics' phase of the pine looper from images of insects' wings. The color and pattern of the insects' wings can be successfully used as diagnostic features in determining the phase of the population dynamics. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Spatial Statistics 2011

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Держатели документа:
[Sekretenko, O. P.
Soukhovolsky, V. G.] Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Sekretenko, O.P.; Palnikova, E.N.; Kovalev, A.V.; Soukhovolsky, V.G.; Stein, A \ed.\; Pebesma, E \ed.\; Pebesma, \ed.\

[Text] / O. P. Sekretenko [et al.] ; ed.: A Stein, E Pebesma, Pebesma, // 1ST CONFERENCE ON SPATIAL STATISTICS 2011 - MAPPING GLOBAL CHANGE. Ser. Procedia Environmental Sciences : ELSEVIER SCIENCE BV, 2011. - Vol. 3: 1st International Conference on Spatial Statistics - Mapping Global Change (MAR 23-25, 2011, Enschede, NETHERLANDS). - P99-104, DOI 10.1016/j.proenv.2011.02.018. - Cited References: 6 . - 6. - ISBN 1878-0296РУБ Environmental Sciences + Geography, Physical

Аннотация: The ash stock in forest litter influences the fertility of forest soil and should be studied. Litter samples were taken at 70 locations within a 270x60 metre transect in 2004-2007 in the bog birch forest, western Siberia. A geostatistical model with external trend was applied to describe the spatial pattern of the ash mass (kg m(-2)) on the forest floor. Hydrological factors, used as explanatory variables in an external trend equation, account for the main portion of spatial variation (83% and 49% in the years of, respectively, low and high spring flooding). Covariance structure of the data, connected with patterns of vegetation and silt deposits, explains the smaller portion of spatial variation (12% and 38%). The unexplained variation is minor (5% and 13%). (c) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Spatial Statistics 2011

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Держатели документа:
[Sekretenko, O. P.
Efremova, T. T.
Avrova, A. F.
Efremov, S. P.] Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Sekretenko, O.P.; Efremova, T.T.; Avrova, A.F.; Efremov, S.P.; Stein, A \ed.\; Pebesma, E \ed.\; Pebesma, \ed.\

[Text] / A. . Volokitina, M. . Sofronov, T. . Sofronova // Mitig. Adapt. Strateg. Glob. Chang. - 2008. - Vol. 13, Is. 7. - P661-674, DOI 10.1007/s11027-007-9120-7. - Cited References: 29 . - 14. - ISSN 1381-2386РУБ Environmental Sciences

Аннотация: Problem of wildfires has not been resolved anywhere in the world. Mere increase of technical power does not lead to desirable results. Forests of developed countries burn as actively as those in Africa or in Russia. The main reasons of wildfire problem are as follows: (1) Constant wandering of dry seasons over the planet causing outbreaks of wildfires. (2) Unpredicted self-development of ordinary wildfires into awful fire disasters. (3) Difficulties in delivery and use of heavy machines on hardly accessible territories. (4) Absence of a perfect technique for economic evaluation of how effectively the wildfire control system works. (5) Absence of the system of payments encouraging wildfire fighters. To solve the problem of wildfires in Russia it is necessary to: (1) Create the Russian wildfire behaviour and fire effects prediction system on the basis of the developed classification of vegetation fuels and methods of their mapping as well as maximum utilization of forest inventory information and Geographic Information System (GIS). (2) Elaborate a technique of proper wildfire monitoring including estimation of vegetation damage. (3) Improve daily rating of regional fire danger. (4) Improve fire-preventive arrangement of the territory covered by vegetation, the main goal being creation of favourable conditions for active fire management. (5) Choose the main direction in elaboration of fire-fighting means and methods taking into account their universality, simplicity, reliability, etc. (6) Elaborate an improved technique for estimation of economic effectiveness of the wildfire control system. (7) Develop international cooperation of scientists and professionals in fire management.

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Держатели документа:
[Volokitina, Alexandra
Sofronov, Mark] Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia
[Sofronova, Tatiana] Astafiev Krasnoyarsk State Pedag Univ, Krasnoyarsk 660049, Russia

Доп.точки доступа:
Volokitina, A...; Sofronov, M...; Sofronova, T...

[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] / 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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Держатели документа:
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. J. Ranson [et al.] // Can. J. Remote Sens. - 2003. - Vol. 29, Is. 2. - P271-285. - Cited References: 32 . - 15. - ISSN 0703-8992РУБ Remote Sensing

Аннотация: As part of a Siberian mapping project supported by the National Aeronautics and Space Administration (NASA), this study evaluated the capabilities of radars flown on the European Remote Sensing Satellite (ERS), Japanese Earth Resources Satellite (JERS), and Radarsat spacecraft and an optical sensor enhanced thematic mapper plus (ETM+) on-board Landsat-7 to detect fire scars, logging, and insect damage in the boreal forest. Using images from each sensor individually and combined, an assessment of the utility of using these sensors was developed. Transformed divergence analysis revealed that Landsat ETM+ images were the single best data type for this purpose. However, the combined use of the three radar and optical sensors did improve the results of discriminating these disturbances.

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Держатели документа:
NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
Sci Syst & Applicat Inc, Lanham, MD 20706 USA
Univ Maryland, Dept Geog, College Pk, MD 20742 USA
VN Sukachev Inst Forest, Krasnoyarsk, Russia

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

[Text] / V. I. Kharuk [et al.] // Can. J. Remote Sens. - 2003. - Vol. 29, Is. 2. - P286-297. - Cited References: 15 . - 12. - ISSN 1712-7971РУБ Remote Sensing

Аннотация: Landsat data were used to examine the effect of large-scale insect outbreaks in the forests of southern Siberia. Two insect outbreaks were studied: Ket-Chulym, similar to1.5 million hectares of forest damaged between 1954 and 1957; and Priangar'e, similar to0.5-0.7 million hectares of forest damaged between 1994 and 1996. Landsat scenes from 1980 to 2000 were analyzed. The optimal Landsat channels combination for detecting damage classes were bands 2 (0.525-0.605 mum), 4 (0.750-0.900 mum), 5 (1.55-1.75 mum), and 6 (10.40-12.50 mum). The damage to the forests caused an increase inradiometric temperature (20.20 +/- 0.04degreesC for damaged forests versus 19.47 +/- 0.02degreesC for healthy forests). The following pattern of forest succession was observed in the outbreak areas: dead stands with dense grass and shrub communities, burn scars, grass and shrub formations, open woodlands, closed young and middle-age birch stands, mature birch stands, and mixed conifer-deciduous stands. Forest regeneration goes through long-term species-change successions, and the rate depends on the size of the outbreak area. On-ground mapping after the outbreak and later Landsat analysis showed that even 45 years after the Ket-Chulym outbreak the area of forests did not increase. In the Priangar'e area approximately 45% of damaged forests have recovered.

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

Доп.точки доступа:
Kharuk, V.I.; Ranson, K.J.; Kuz'michev, V.V.; Im, S...

[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.

[Text] / V. I. Kharuk, K. J. Ranson, S. T. Im ; ed.: AM Larar, Q Tong, Tong, // MULTISPECTRAL AND HYPERSPECTRAL REMOTE SENSING INSTRUMENTS AND APPLICATIONS. Ser. PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) : SPIE-INT SOC OPTICAL ENGINEERING, 2003. - Vol. 4897: Conference on Multispectral and Hyperspectral Remote Sensing Instruments and Applications (OCT 25-27, 2002, HANGZHOU, PEOPLES R CHINA). - P272-278, DOI 10.1117/12.466865. - Cited References: 3 . - 7. - ISBN 0277-786X. - ISBN 0-8194-4683-1РУБ Geosciences, Multidisciplinary + Instruments & Instrumentation + Remote Sensing + Optics + Physics, Applied

Аннотация: This paper study considers the effects of oil exploration and development in the oilfields of Evenkiya, Central Siberia (60degrees30'N/96degrees30'E). The drilling in this area was initiated in 1970, and the first oil was extracted in 1977. Image data from the US' Landsat - 7, the Russian "Resours", and the European ERS-2 remote sensing satellites were analyzed. The information value of the Landsat-7channels was evaluated. In particular, the fresh oil drilling sites effectively differ from old ones in the third (0.63-0.69 mum) and fourth (0.75-0.90 mum) channels. Recently burned areas are detectable in the middle IR (1.55-1.75, 2.08-2.35 mum). The classification accuracy depends on the number of channels used, but does not improve greatly using more than 4 or 5 channels. Landsat - 7 scenes enable the detection of patterns for parallel strips (5 - 10 in in width) of cut forest, the first sign of the oil reconnaissance. Alongside the direct impacts of oil-exploitation, fire frequency was increased. The "big" fires (area > 200 ha) caused similar to90% of the total damage, but only accounted for 10% of total firescars. The area of human-caused impact is similar to20% of territory, which is similar to2.5 higher than average for known oil development areas within the Landsat scene. The ERS-2 scenes were found to be effective for mapping fresh drilling sites only. The comparative analysis of "Resours" KFA-1000 camera scene (June 1984) and Landsat-7 (October 1999) showed that during this period the number of oilrigs increased nearly 5 times. Generally, the Landsat-7 data are effective for early detection of the anthropogenic impact on the Siberian larch-dominated communities.

WOS,
Scopus

Держатели документа:
Sukachev Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Kharuk, V.I.; Ranson, K.J.; Im, S.T.; Larar, AM \ed.\; Tong, Q \ed.\; Tong, \ed.\

/ D. Schepaschenko [et al.] // Journal of Land Use Science. - 2011. - Vol. 6, Is. 4. - P245-259, DOI 10.1080/1747423X.2010.511681 . - ISSN 1747-423X
Аннотация: Despite being recognized as a key baseline dataset for many applications, especially those relating to biogeochemical cycles, land cover products in their current form are limiting. Typically they lack the thematic detail necessary for driving the models that depend upon them. This study has demonstrated the ability to produce a highly detailed (both spatially and thematically) land cover/land use dataset over Russia - by combining existing datasets into a hybrid information system. The resulting dataset contains detailed subclasses of land cover and attributes necessary for biogeochemical modeling. In lieu of suitable validation data, a confidence map was produced creating six classes of confidence in the agreement between the various remote sensing and statistical datasets. In specific regions, a significant difference between the remote sensing products and the official statistics was observed. For example, in the northwest of Russia the statistics appear to be underreporting the amount of forest land which has likely been increasing in recent decades because of encroachment of forests on abandoned marginal agricultural land. В© 2011 Copyright Taylor and Francis Group, LLC.

Scopus

Держатели документа:
IIASA, Laxenburg, Austria
Moscow State Forest University, Moscow, Russian Federation
Institute of Forest, Siberian Branch, Russian Academy of Science, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Schepaschenko, D.; McCallum, I.; Shvidenko, A.; Fritz, S.; Kraxner, F.; Obersteiner, M.

/ A. Hofgaard [et al.] // Applied Vegetation Science. - 2010. - Vol. 13, Is. 4. - P460-472, DOI 10.1111/j.1654-109X.2010.01086.x . - ISSN 1402-2001
Аннотация: Question: Is there a need for disturbance mapping integrated in the CircumBoreal Vegetation Mapping Program? Location: Eurasian boreal forest. Disturbance and mapping: The boreal zone is characterized by a multitude of natural and anthropogenic disturbance agents with importance over a wide range of spatial and temporal scales. Disturbance is a prime driver of succession in most of the boreal zone, producing landscape diversity characterized by a large-scale vegetation mosaic of early to late succession states. When mapping the circumboreal vegetation, spatial extent, time involved from disturbance to recovered condition and likelihood of interacting disturbance types are crucial for how current vegetation is interpreted and subsequently included as map characteristics. In this paper we present examples from the boreal zone where natural and/or anthropogenic disturbance regimes dominate the state and distribution of vegetation, and possibilities for assessing the nature and extent of the disturbed regions using remotely sensed data. Conclusion: Disturbed vegetation occupies large areas in the boreal zone and related vegetation successions should be adequately represented when mapping the zone. In regions where the 'potential natural vegetation' is a hypothetical reconstruction from remnants of 'natural' vegetation it would be preferable to use the concept of 'actual real vegetation' for which remote sensing at coarse, medium and fine resolution is an efficient tool. The Land Cover Classification System (LCCS) may offer sufficient flexibility to incorporate information about the disturbance of circumboreal vegetation. В© 2010 International Association for Vegetation Science.

Scopus,
WOS

Держатели документа:
Scott Polar Research Institute, University of Cambridge, United Kingdom
Norwegian Institute for Nature Research, Trondheim, Norway
Norwegian Institute for Nature Research, Tromso, Norway
Faculty of Geography, M.V. Lomonosov Moscow State University, Moscow, Russian Federation
Centre on the Problems of Ecology and Productivity of Forests, Russian Academy of Sciences, Moscow, Russian Federation
Northern Research Institute, Tromso, Norway
Institute of the Industrial Ecology if the North, Kola Science Center, Russian Academy of Sciences, Russian Federation
Sukachev Forest Institute, Akademgorodok Krasnoyarsk, Russian Federation

Доп.точки доступа:
Hofgaard, A.; Rees, G.; Tommervik, H.; Tutubalina, O.; Golubeva, E.; Lukina, N.; Hogda, K.A.; Karlsen, S.R.; Isaeva, L.; Kharuk, V.

/ R. H.A. Baker [et al.] // EPPO Bulletin. - 2009. - Vol. 39, Is. 1. - P87-93, DOI 10.1111/j.1365-2338.2009.02246.x . - ISSN 0250-8052
Аннотация: PRATIQUE is an EC-funded 7th Framework research project designed to address the major challenges for pest risk analysis (PRA) in Europe. It has three principal objectives: (a) to assemble the datasets required to construct PRAs valid for the whole of the EU, (b) to conduct multi-disciplinary research that enhances the techniques used in PRA and (c) to provide a decision support scheme for PRA that is efficient and user-friendly. The research will be undertaken by scientists from 13 institutes in the EU and one each from Australia and New Zealand with subcontractors from institutes in China and Russia. They will produce a structured inventory of PRA datasets for the EU and undertake targeted research to improve existing procedures and develop new methods for (a) the assessment of economic, environmental and social impacts, (b) summarising risk while taking account of uncertainty, (c) mapping endangered areas (d) pathway risk analysis and systems approaches and (e) guiding actions during emergencies caused by outbreaks of harmful organisms. The results will be tested and provided as protocols, decision support systems and computer programs with examples of best practice linked to a computerised European and Mediterranean Plant Protection Organization (EPPO) PRA scheme. В© 2009 OEPP/EPPO.

Scopus

Держатели документа:
Central Science Laboratory, Sand Hutton, York YO30 7BH, United Kingdom
Department of Environmental Agronomy, University of Padova, 16a Via Universita, Legnaro PD, 35020, Italy
Landbouw-Economisch Instituut (LEI) B.V., 19 Burgemeester Patijnlaan, The Hague, 2585 BE, Netherlands
CABI Europe-Switzerland, 1 Rue des Grillons, Delemont, 2800, Switzerland
Centre for Environmental Policy, Imperial College London, Silwood Park, Ascot SL5 7PY, United Kingdom
European and Mediterranean Plant Protection Organization, 1 rue le Notre, Paris, 75016, France
Julius Kuhn-Institut (JKI), Bundesforschungsinstitut fur Kulturpflanzen, Messeweg 11/12, Braunschweig, 38104, Germany
University of Fribourg, 6 Chemin de Musee, Fribourgm 1700, Switzerland
Cooperative Research Centre for National Plant Biosecurity, CSIRO Entomology, 120 Meiers Road, Indooroopilly, 4068, Australia
Bio-Protection Research Centre, Lincoln University, PO Box 84, Lincoln, Canterbury, New Zealand
Plant Protection Institute, 35 Panayot Volov, Kostinbrod, 2230, Bulgaria
Wageningen University, 1 Hollandseweg, Wageningen, 6706 KN, Netherlands
Centre de Cooperation Internationale en Recherche Agronomique Pour le Developpement, UMR PVBMT, Pole de Protection des Plantes, 7 chemin de I'IRAT, Saint Pierre, Reunion, 97410, France
Institute of Botany, Academy of Sciences of the Czech Republic, Zamek 1, Prhonice, CZ 25243, Czech Republic
Faculty of Science, Department of Ecology, Charles University, Prague, Czech Republic
Institut National de la Recherche Agronomique, UR633, Zoologie Forestierem Ardon, Avenue de la Pomme de Pin, Ardon, Olivet, 45166, France
Sukachev Institute of Forest, Siberian Branch, Russian Academy of Science, Krasnoyarsk, Russian Federation
State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China

Доп.точки доступа:
Baker, R.H.A.; Battisti, A.; Bremmer, J.; Kenis, M.; Mumford, J.; Petter, F.; Schrader, G.; Bacher, S.; De Barro, P.; Hulme, P.E.; Karadjova, O.; Lansink, A.O.; Pruvost, O.; Pyek, P.; Roques, A.; Baranchikov, Y.; Sun, J.-H.

/ A. V. Volokitina // Geography and Natural Resources. - 2009. - Vol. 30, Is. 1. - P66-72, DOI 10.1016/j.gnr.2009.03.013 . - ISSN 1875-3728
Аннотация: Experience in compiling maps for combustible vegetable materials in Central Evenkia using two methods is considered: the conjugate method of two modifications, i.e. using forest management data (sc. 1:100 000), and on the basis of the forest-typological map (sc. 1:25 000); the self-contained method using aerial photographs (sc. 1: 10 000). В© 2009.

Scopus

Держатели документа:
Institute of Forest SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Volokitina, A.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.

Scopus

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.