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

[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] / M. . Tomoshevich [et al.] // Forest Pathol. - 2013. - Vol. 43, Is. 5. - P345-359, DOI 10.1111/efp.12036. - Cited References: 50. - We thank Dr Richard Baker (FERA, UK), Dr Annie Yart and Dr Marie-Laure Desprez-Loustau (INRA, France) and the two anonymous reviewers for their valuable comments on the manuscript. We also thank Dr Vadim A. Melnik (Botanical Institute of the Russian Academy of Science, Saints Petersburg, Russia) for the identification of some fungi. This study was supported by the EU FP7 Projects PRATIQUE (No 212459) and ISEFOR (No 245268), a grant of President of the Russian Federation (MK-7049.2010.4) and a grant of Mayor of the city Novosibirsk (No 35-10). . - 15. - ISSN 1437-4781РУБ Forestry

Аннотация: In this article, we report observations made during thirteen years on foliar fungal pathogens attacking European and Eurasian woody broadleaved species in Siberian arboreta and cities and discuss the possibility of using such data for detecting exotic pathogens that may represent a danger for European tree and shrub species, should these pathogens be introduced into Europe. A total of 102 cases of symptomatic infections (fungus-host plant associations) involving 67 fungal species were recorded on 50 of the 52 European and Eurasian woody plant species. All but four of the fungi found during the surveys were previously reported in Europe. However, 29 fungus-host plant associations are apparently new to science, suggesting that complexes of cryptic species differing in their host range and geographic range may occur. Seventeen percentage of associations were given a high damage score, that is, more than 50% of plant area was attacked, for at least some localities. In nearly half of the cases, fungus-host plant associations were found to be very frequent, that is, occurring every year and at all locations where the plant was inspected. A list of pathogen-host associations in Siberia deserving further investigation is provided, either because the pathogen is not yet recorded in Europe or because the pathogen-host association has not yet been reported, and the damage is high or, finally, because the damage and infestation level is unusually high in known associations. Further studies should involve molecular characterization of these foliar pathogens and their host range testing.

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Держатели документа:
[Tomoshevich, M.] RAS, SB, Cent Siberian Bot Garden, Novosibirsk, Russia
[Kirichenko, N.] RAS, SB, VN Sukachev Inst Forest, Krasnoyarsk 660036, Russia
[Holmes, K.
Kenis, M.] CABI, Delemont, Switzerland

Доп.точки доступа:
Tomoshevich, M.; Kirichenko, Natalia I.; Кириченко, Наталья Ивановна; Holmes, K.; Kenis, M.; EU [212459, 245268]; Russian Federation [MK-7049.2010.4]; city Novosibirsk [35-10]

/ M. N. Favorskaya [et al.] // Proceedings of the IASTED International Conference on Automation, Control, and Information Technology - Information and Communication Technology, ACIT-ICT 2010. - 2010. - IASTED International Conference on Automation, Control, and Information Technology - Information and Communication Technology, ACIT-ICT 2010 (15 June 2010 through 18 June 2010, Novosibirsk) Conference code: 89100. - P9-14 . -
Аннотация: Recognition of forest and its state on airphotos is one of important problems of natural resources monitoring. Automatic interpretation of forest textures photos is also a complex task which isn't finally solved. In this paper we propose new method of forest textures recognition based on two-level procedure: (1) the pre-segmentation of airphoto based on image pyramid and definition of statistical similarity regions, and (2) the texture recognition using neural network of direct propagation with input complex fractal and statistical descriptors and the post-segmentation of airphoto. Application of additional methods of laser scanning permits to recognize trees using not only upper crowns but also their lateral surfaces. Thereby we can estimate morphological descriptors of leaves mass of trees analyzing the set of airphotos.

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Держатели документа:
Siberian State Aerospace University, pr. Krasnoyarsky rabochiy, 31, Krasnoyarsk, 660014, Russian Federation
Institute of Forest SB RAS, Akademgorodok, 50/28, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Favorskaya, M.N.; Petukhov, N.Y.; Danilin, I.M.; Danilin, A.I.

/ E. Kirik, T. Yurgel'Yan, D. Krouglov // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2010. - Vol. 6350 LNCS: 9th International Conference on Cellular Automata for Research and Industry, ACRI 2010 (21 September 2010 through 24 September 2010, Ascoli Piceno. - P474-479, DOI 10.1007/978-3-642-15979-4_50 . -
Аннотация: In this paper we show an effect that a shape of way contributes to dynamics of one Cellular Automata pedestrian movement model. The fundamental diagrams for a closed and strait pathes are presented and discussed. В© 2010 Springer-Verlag.

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Держатели документа:
Institute of Computational Modelling SB RAS, Krasnoyarsk, Akademgorodok, 660036, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
V.N. Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Kirik, E.; Yurgel'Yan, T.; Krouglov, D.

/ E. Kirik, T. Yurgel'Yan, D. Krouglov // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2010. - Vol. 6068 LNCS: 8th International Conference on Parallel Processing and Applied Mathematics, PPAM 2009 (13 September 2009 through 16 September 2009, Wroclaw, Is. PART 2. - P513-520, DOI 10.1007/978-3-642-14403-5_54 . -
Аннотация: This paper deals with mathematical model of pedestrian flows. We focus here on an "intelligence" of virtual people. From macroscopic viewpoint pedestrian dynamics is already well simulated but from microscopic point of view typical features of people movement need to be implemented to models. At least such features are "keeping in mind" two strategies - the shortest path and the shortest time and keeping a certain distance from other people and obstacles if it is possible. In this paper we implement mathematical formalization of these features to stochastic cellular automata (CA) Floor Field (FF) model. В© 2010 Springer-Verlag Berlin Heidelberg.

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Держатели документа:
Institute of Computational Modelling, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Akademgorodok 660036, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
V.N. Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Kirik, E.; Yurgel'Yan, T.; Krouglov, D.

/ T. T. Efremova [et al.] // Journal of Radioanalytical and Nuclear Chemistry. - 1999. - Vol. 240, Is. 1. - P329-334, DOI 10.1007/BF02349173 . - ISSN 0236-5731
Аннотация: Aluminum, Sc, Th, Hf, and lanthanoids belong to groups of elements that are, slightly, very slightly, and moderately captured in marsh ecosystems. In the genesis of the peatbog the biogeochemical migration of elements is mainly determined by the quality of the humus barriers as well as by the capability to form intermetallic compounds of widely varying compositions. In the surface layer (10 cm) of the peatbog the highest content of Al, Hf, Ce, and Sm over the entire history of marsh development was observed. This fact reflects the modem tendency to forming technogenic streams of the above content.

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Держатели документа:
Institute of Forest, Siberian Branch RAS, Krasnoyarsk 630090, Russian Federation
Institute of Chemical Kinetics and Combustion, SB RAS, Novosibirsk 630090, Russian Federation
Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, Dubna, Moscow Region 141980, Russian Federation

Доп.точки доступа:
Efremova, T.T.; Efremov, S.P.; Koutzenogii, K.P.; Smirnova, A.I.; Peresedov, V.F.; Ostrovnaya, T.M.; Chinaeva, V.P.

/ V. A. Ryzhkova, I. V. Danilova, M. A. Korets // Contemp. Probl. Ecol. - 2016. - Vol. 9, Is. 6. - P692-701, DOI 10.1134/S1995425516060111 . - ISSN 1995-4255
Аннотация: An automated conjugate classification of forest growing conditions and forest vegetation has been developed based on the example of the southern part of Yenisei Siberia; maps of potential forest growing conditions and forest-cover regeneration dynamics have been constructed on the basis of the automated recognition of remote sensing data and a system of conjugate analysis of dissimilar data in GIS. The proposed approach makes it possible to promptly create and update forest cover maps, which is particularly important for the vast taiga regions of Siberia. © 2016, Pleiades Publishing, Ltd.

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Держатели документа:
Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Ryzhkova, V. A.; Danilova, I. V.; Korets, M. A.

/ T. T. Efremova, A. F. Avrova, S. P. Efremov // Contemp. Probl. Ecol. - 2017. - Vol. 10, Is. 7. - P728-737, DOI 10.1134/S1995425517070046. - Cited References:21 . - ISSN 1995-4255. - ISSN 1995-4263РУБ Ecology

Аннотация: We have classified morphogenetic types of mossy litter by a multivariate statistical analysis of a fractional group of organic-matter composition. Three clusters of mossy litters-peats, peaty, and high-ash peaty-are recognized. This results in 94% prediction. Indicators contribute to discriminants in the following descending order : C : N > cellulose > HA-2 > HA-3 > FA-3 > hemicellulose = FA-1 = HA-1. According to canonical analysis, there were two significant roots in cluster determination. The first segregates mainly the peat cluster from two others. The share of canonical function of the root one is 58% of possible discrimination, mainly due to the weight of cellulose and C : N. Canonical function 2, describing 42% of the explained dispersion, discriminates the peaty cluster from the others due to the dominant contribution of FA-1 and FA-3. The classification function for the recognition of new objects was calculated and evaluated. The humus content of various types and clusters of mossy litters was examined. Morphogenetic classification follows the transformation of forest litter in the course of litter formation (continuum phase), quantitative biochemical discrimination is a discrete phase of this process.

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Держатели документа:
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Efremova, T. T.; Avrova, A. F.; Efremov, S. P.

/ A. Arzac [et al.] // Dendrochronologia. - 2018. - Vol. 51. - P76-81, DOI 10.1016/j.dendro.2018.08.005 . - ISSN 1125-7865
Аннотация: Cambial activity records short and long-term environmental signals in xylem anatomy, creating a permanent archive. Quantitative wood anatomy deciphers the relationship between cell structure and function in a spatiotemporal context. Obtaining high-resolution images of wood anatomical preparations is a critical stage in the process of decoding this information. Damage to cellular structures when sectioning by microtome is one of the main problems in the preparation of high-quality micro-sections. Cell damage leads to the occurrence of artifacts – most often related to broken cell walls – hindering the performance of image recognition programs, and increasing the time spent on the manual editing of images. In this work, we propose an alternative method to microtomy, based on embedding-polishing protocols established for hard tissue preparation. Wood samples are embedded in a transparent and non-reactive resin as polymethylmethacrylate (PMM) that is subsequently ground and polished. Being able to acquire images from the stained or unstained polished surfaces of the PMM-blocks and sections (thinner than 100 ?m) by using a wide range of optical methods such as reflected polarizing microscopy, epifluorescence microscopy, bright-field microscopy with diffuse illumination and circularly polarizing microscopy. This embedding method improves the mechanical integrity and quality of wood anatomical preparations, eliminating the problem of broken cell walls. Furthermore, this technique allows the preparation and analysis of large tissue surfaces. © 2018 Elsevier GmbH

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Держатели документа:
Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation
V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences, Akademgorodok 50/28, Krasnoyarsk, 660036, Russian Federation
Department of Pathological Anatomy, Faculty of Medicine, University of Cadiz, Plaza Falla 9, Cadiz, 11003, Spain
Khakass Technical Institute, Siberian Federal University, 27 Shchetinkina St., Abakan, 655017, Russian Federation

Доп.точки доступа:
Arzac, A.; Lopez-Cepero, J. M.; Babushkina, E. A.; Gomez, S.

/ A. V. Lapko [et al.] // Optoelectron. Instrum. Data Proc. - 2019. - Vol. 55, Is. 3. - P230-236, DOI 10.3103/S8756699019030038. - Cited References:18. - This work was supported by the Russian Foundation for Basic Research (Grant No. 18-01-00251). . - ISSN 8756-6990. - ISSN 1934-7944РУБ Physics, Multidisciplinary

Аннотация: A nonparametric algorithm of automatic classification of large arrays of statistical data is considered. Its synthesis is based on decomposition of initial data. The results of decomposition form a set of centers of multidimensional intervals and the corresponding frequencies of occurrence of values of random variables. Based on information obtained, classes corresponding to single-mode fragments of the probability density of features of examined objects are detected. The spatial interpretation of automatic classification results is analyzed. The nonparametric algorithms developed in the study are important tools of processing of data obtained by remote sensing of natural resources.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Computat Modeling, Akademgorodok 50,Bldg 44, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Akademgorodok 50,Bldg 28, Krasnoyarsk 660036, Russia.
Reshetnev Siberian Univ Sci & Technol, Pr Im Gazety Krasnoyarskii Rabochii 31, Krasnoyarsk 660037, Russia.

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.; Im, S. T.; Tuboltsev, V. P.; Avdeenok, V. A.; Russian Foundation for Basic Research [18-01-00251]