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Найдено документов в текущей БД: 14

    Comparative analysis of phytoplankton of the Baikal and Khanka lakes
[Text] / L.A. Shchur, N.A. Bondarenko // Hydrobiological Journal. - 2012. - Vol. 48, Is. 3. - pp. 14-23, DOI 10.1615/HydrobJ.v48.i3.20 . - ISSN 0018-8166
Аннотация: The structure and production potential of phytoplankton were studied in two large lakes of Asia, including the Baikal and Khanka lakes differing in their hydrological conditions. It has been found that the studied algae flora is saturated. The environmental conditions in the lakes are rather favorable to the development of algae. The functional characteristics of phytoplankton depended mainly on the regime of illumination, dimensional composition of algae, intensity of their development, vegetation stage, and also on the peculiarities of dominant forms biology. В© 2012 Begell House, Inc.

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Доп.точки доступа:
Shchur, L.A.; Щур, Людмила Александровна; Bondarenko, N.A.

    Results of analysis of human impact on environment using the time series of vegetation satellite images around large industrial centers
[Text] / A. Shevyrnogov [et al.] // Adv. Space Res. - 2008. - Vol. 41, Is. 1. - P36-40, DOI 10.1016/j.asr.2007.02.008. - Cited References: 7 . - ISSN 0273-1177
РУБ Astronomy & Astrophysics + Geosciences, Multidisciplinary + Meteorology & Atmospheric Sciences

Кл.слова (ненормированные):
remote sensing -- industrial wastes -- vegetation index -- vegetation dynamics

Аннотация: The paper shows the efficiency of an application of the vegetation index image time series to determine long-term vegetation dynamics. The influence of large industrial centers of Siberia on the near-by vegetation is demonstrated. The analysis of the data shows that the influence of industrial waste is stronger in the Siberian North. These regions are characterized by critical conditions for vegetation existence. In the south of the Krasnoyarsk region, human impact is also important, but the possibility of vegetation self-rehabilitation is higher. The present-day economic situation in Russia is unique, with a temporary abrupt fall of industrial production and its following increase. Thus, we managed to analyze the degree of human impact on the environment within a relatively short-time interval. (C) 2007 Published by Elsevier Ltd on behalf of COSPAR.


Доп.точки доступа:
Shevyrnogov, A.; Vysotskaya, G.; Высоцкая, Галина Степановна; Sukhinin, A.; Frolikova, O.; Tchernetsky, M.

    Typification of natural seasonal dynamics of vegetation to reveal impact of land surface change on environment (by satellite data)
/ A. Shevyrnogov [et al.] // Advances in Space Research. - 2000. - Vol. 26, Is. 7. - P. 1169-1172, DOI 10.1016/S0273-1177(99)01142-4 . - ISSN 0273-1177

Кл.слова (ненормированные):
ecological modeling -- ecosystem health -- land surface -- satellite data -- vegetation dynamics

Аннотация: Deep insight into types of vegetation variability provided by AVHRR space scanner images of vegetation index spatial distribution helps reveal impact of land surface changes on environment. The Institute of Computational Modeling SB RAS has developed nonparametric algorithms of automatic to classify and recognize patterns of these images which helped to reveal: (1) major variability types (generally connected); (2) areas belonging to small classes, which can be used to reveal deviations from 'normal' (e.g., forest fires, etc.); (3) deviation from a certain type of dynamics indicative of changes in condition of plants, which can be used to diagnose pathology at early stages; (4) impact of economical activities on vegetation in Norilsk area. The authors provide biological interpretation of the satellite data. Computer-animated dynamics and color maps are presented. Nonparametric algorithms of an automatic classification and pattern recognition were provided by the Institute of Computational Modeling SB RAS. (C) 2000 COSPAR. Published by Elsevier Science Ltd.

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Доп.точки доступа:
Shevyrnogov, A.; Vysotskaya, G.; Высоцкая, Галина Степановна; Sidko, A.; Dunaev, K.

    Multiyear trends of Normalized Difference Vegetation Index and temperature in the south of Krasnoyarsk Krai
/ A. P. Shevyrnogov, M. Y. Chernetskiy, G. S. Vysotskaya // Izv. Atmos. Ocean Phys. - 2013. - Vol. 49, Is. 9. - P. 1047-1056, DOI 10.1134/S0001433813090132 . - ISSN 0001-4338

Кл.слова (ненормированные):
air temperature -- AVHRR -- GIMMS -- MODIS -- NDVI -- northern Eurasia -- radiation temperature of surface -- trends -- Yermakovsk raion

Аннотация: It is found that the nonlinear positive Normalized Difference Vegetation Index (NDVI) trend of mountain taiga in the south of Krasnoyarsk Krai has been negative since 1999-2000. A comparison with the boreal belt of northern Eurasia showed that, though still nonnegative, the positive trend has distinctly decreased to nearly a plateau. A trend analysis of radiation temperature of the surface revealed that the temperature shows a decreasing trend for the selected region of mountainous taiga and an increasing trend for northern Eurasia. We compared air-temperature data from the Yermakovskoe meteorological station to eliminate a preliminary data-processing error. Regression analysis demonstrated a fairly high degree of correlation. Also, we found a quite high degree of correlation between time series and trends of air temperature and NDVI. Trends in air temperature in northern Eurasia according to NCEP-DOE Reanalysis 2 data also confirm the trend found on the basis of satellite data. © 2013 Pleiades Publishing, Ltd.

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Доп.точки доступа:
Shevyrnogov, A.P.; Chernetskiy, M.Y.; Vysotskaya, G.S.; Высоцкая, Галина Степановна

    AMBIGUOUS DEPENDENCE OF FLUORESCENCE INTENSITY OF TREES ON CHLOROPHYLL CONCENTRATION
[Text] / V. V. Zavoruev, E. N. Zavorueva // Proceedings of SPIE. - 2014. - Vol. 9292: 20th International Symposium on Atmospheric and Ocean Optics - (JUN 23-27, 2014, Novosibirsk, RUSSIA), DOI 10.1117/12.2073138. - Cited References:13 . - ISSN 0277-786X
РУБ Meteorology & Atmospheric Sciences + Oceanography + Optics + Physics,


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Держатели документа:
Inst Computat Modeling SB RAS, Krasnoyarsk 660036, Russia.
ИВМ СО РАН

Доп.точки доступа:
Zavoruev, Valeriy V.; Заворуев, Валерий Владимирович; Zavorueva, Elena N.

    The correlation of the maximum intensity of fluorescence with pigment characteristics of leaves of Betula pendula
[Text] / V. V. Zavoruev, E. N. Zavorueva ; ed.: G. G. Matvienko, O. A. Romanovskii // 21ST INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: : SPIE-INT SOC OPTICAL ENGINEERING, 2015. - Vol. 9680: 21st International Symposium On Atmospheric and Ocean Optics - (JUN 22-26, 2015, Tomsk, RUSSIA). - Ст. UNSP 96805X. - (Proceedings of SPIE), DOI 10.1117/12.2205465. - Cited References:8 . -
РУБ Engineering, Ocean + Meteorology & Atmospheric Sciences + Optics

Кл.слова (ненормированные):
fluorescence -- chlorophyll -- carotenoids

Аннотация: Using fluorimeter Junior PAM (Heinz Walz GmbH, Germany) the fluorescence parameters of leaves of Betula pendula are investigated. A linear dependence of the maximum fluorescence (Fm) of leaves from the ratio of total chlorophylls concentration to concentration of carotenoids is obtained. Such dependence is found for samples collected during the period of vegetation and for simultaneous selection of colored leaves.

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Держатели документа:
Inst Computat Modeling SB RAS, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Zavorueva, E. N.; Matvienko, G.G. \ed.\; Romanovskii, O.A. \ed.\; Заворуев, Валерий Владимирович

    Ultimate pit limit substantiation for the purpose of forestry reclamation of lands at ballast quarries in Siberia
/ I. V. Zenkov, I. M. Baradulin // Gorn. Zh. - 2016. - Vol. 2016, Is. 3. - С. 85-88, DOI 10.17580/gzh.2016.03.18 . - ISSN 0017-2278
Аннотация: Slow-rate development of mineral resources in Siberia is connected with remoteness of mineral fields and deficiency in hard-surface roads. The approval of the government transport system program in Siberia requires boosting road metal production and quarrying expansion. Mined-out voids of depleted quarries disturb lands and remain bare for a long time. The situation in the Krasnoyarsk Territory is of particular concern. It is urgently required to find planting methods for mined-out ballast quarries. The obstacle is the traditional geometry of mined-out open pits, with steep walls and vast bottom flooded with atmospheric precipitations. Ecological monitoring of mined-out surface mines in the Krasnoyarsk Territory and most effective vegetation of mined-out voids shows that, given the local climate (long cold winter and short hot summer), population of trees is higher on the southern and eastern pit walls, where moisture content is higher and trees are less dehumidified under the sun in simmer; of no less significance is flatness of slopes and weak inclination (3-5°) of roads towards pit walls, as well as presence of fertile soil layer in the walls. On special purpose plots of land 0.2 ha in area, trees have been counted per each element of a quarry, which makes the basis to develop recommendations on environmentally optimal shape of quarries: maximum area of the southern and eastern pitwalls to be slightly sloping (15-24°), minimum technologically reasoned area of bottom is shifted northwestward. The study is in accordance with the Fundamental Research Program of the National Academies of Sciences for 2013-2020 and the research plan of the Nauka Design and Engineering Center, ICT SB RAS for 2013-2017, under the project "Information Support Models and Technologies for Evaluation, Forecasting and Management of Regional Eco-Systems, Territorial Infrastructure and Natural and Industrial Safety".

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Держатели документа:
Institute of Computational Technologies, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
Nauka Design and Engineering Center, Krasnoyarsk Division

Доп.точки доступа:
Zenkov, I. V.; Baradulin, I. M.

    Современные сведения о зообентосе реки Чулым
[Текст] : статья / А. В. Андрианова // Международный журнал прикладных и фундаментальных исследований. - 2017. - № 6-2. - С. 257-261 . - ISSN 1996-3955
   Перевод заглавия: Modern data of the zoobenthos of the Chulym river
УДК

Аннотация: Исследованы сообщества донных беспозвоночных р. Чулым в верхнем и среднем течении. Зообентос исследованного участка Чулыма весной состоял из поденок, олигохет, хирономид и представителей группы «прочие». Осенью выросла доля по численности хирономид и ручейников, а доля олигохет и «прочих» снизилась. Биомасса складывалась в основном из поденок и «прочих». Весенняя численность составила 1,1 тыс. экз./м2, биомасса 8,2 г/м2. Осенью количественные показатели практически не изменились (1.4 тыс.экз./м2, 10,6 г/м2). Минимальная плотность зообентоса (0,6 тыс. экз./м2 и 1,3 г/м2) зафиксирована в районе осетрово-нельмового Заказника «Чулымский», что подтверждается и более ранними исследованиями. Наибольшая биомасса характерна для заиленных биотопов при слабом течении (14-16 г/м2 весной). Осенью существенно увеличилась плотность бентоса среди высшей водной растительности (2,4 тыс.экз./м2 и 17 г/м2). По сравнению с 1970-ми гг. в донных сообществах выросла доля гетеротопных насекомых, при этом доля олигохет, моллюсков и хирономид в биомассе снизилась в 4-5 раз; отмечается тенденция увеличения общей биомассы бентоса.
The benthic invertebrate communities in the river Chulym were studied in the upper and middle reaches. The zoobenthos of the investigated area of the Chulym river in the spring consisted of mayflies, oligochaetes, chironomids, and representatives of the group «other». In the fall the proportion of the numbers of chironomids and caddisflies increased, whereas the proportion of oligochaetes and «other» decreased. Biomass was composed mainly of mayflies and «other». The spring population was 1,1 thous. ind/m2, biomass - 8,2 g/m2. In the fall quantitative indicators remained almost unchanged (1,4 thous. ind/m2, 10,6 g/m2). The minimum density of zoobenthos (0,6 thous. ind./m2 and 1,3 g/m2) was recorded in the area of sturgeon-nelmous Reserve «Chulymskiy», which is confirmed by earlier studies. The greatest biomass is typical for silted habitats at low flow (14 - 16 g/m2 in spring). In autumn the density of benthos among the higher aquatic vegetation increased significantly (2.4 thous. ind/m2 and 17 g/m2). Compared to the 1970-ies in sediment communities the percent of heterotopic insects increased, while the percent of oligochaeta, mollusca, and chironomids in the biomass decreased by 4-5 times; there is a trend of increase in total biomass of benthos.

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Держатели документа:
Институт вычислительного моделирования СО РАН, ФИЦ КНЦ СО РАН
НИИ Экологии рыбохозяйственных водоемов

Доп.точки доступа:
Андрианова, А.В.; Andrianova А.V.

    Environmental risk zones mapping using satellite monitoring data
/ A. Zotin [et al.] // Procedia Computer Science : Elsevier B.V., 2018. - Vol. 126: 22nd International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2018 (3 September 2018 through 5 September 2018, ) Conference code: 141492. - P1597-1605, DOI 10.1016/j.procS.2018.08.133 . -
Аннотация: The study is devoted to the mapping of areas of environmental risk. Risk assessment is based on a satellite monitoring data and an evaluation of the impact of air pollution on the vegetation cover of urban areaS. Ecological risk zones mapping is shown on the example of Norilsk industrial zone impact on vegetation cover. There is a brief description of the existing System of satellite monitoring data of sulfur dioxide emission for the Norilsk industrial zone. Our approach for risk assessment mapping uses elastic grid method for generating elastic net and visualising spatial satellite data from OMI and OMPS databaseS. The results of calculations based on the methodology of mapping zones of environmental risk are presented. © 2018 The Author(s).

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Держатели документа:
Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky rabochy av., Krasnoyarsk, 660037, Russian Federation
Siberian Federal University, 79 Svobodny st., Krasnoyarsk, 660041, Russian Federation
Institute of Computational Modeling of the Siberian Branch, Russian Academy of Sciences, 50/44 Akademgorodok, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Zotin, A.; Zuev, D.; Kashkin, V.; Kurako, M.; Simonov, K.

    Satellite monitoring of atmospheric sulphur dioxide pollution in polar latitudes
/ V. B. Kashkin [et al.] // IOP Conference Series: Earth and Environmental Science : Institute of Physics Publishing, 2018. - Vol. 193: 5th All-Russian Conference with International Participation on Polar Mechanics 2018 (9 October 2018 through 11 October 2018, ) Conference code: 141746, Is. 1, DOI 10.1088/1755-1315/193/1/012029 . -
Аннотация: The study is devoted to the mapping of areas of environmental risk. Risk assessment is based on a satellite monitoring data and an evaluation of the impact of air pollution on the vegetation cover of urban areas. Ecological risk zones mapping is shown on the example of Norilsk industrial zone impact on vegetation cover. There is a brief description of the existing system of satellite monitoring data of sulphur dioxide emission for the Norilsk industrial zone. Our approach for risk assessment mapping uses elastic grid method for generating elastic net and visualizing spatial satellite data from OMI and OMPS databases. The results of calculations based on the methodology of mapping zones of environmental risk are presented. © Published under licence by IOP Publishing Ltd.

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Держатели документа:
Siberian Federal University, 79 Svobodny pr., Krasnoyarsk, 660041, Russian Federation
Institute of Computational Modeling, SB RAS, 50/44 Akademgorodok, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Kashkin, V. B.; Zuev, D. V.; Kurako, M. A.; Romanov, A. A.; Rubleva, T. V.; Simonov, K. V.

    Feed base and potential fish productivity of the Yenisey basin (upstream and midstream)
/ A. V. Andriаnоvа [и др.] // Vestn. Tomsk. Gos. Univ. Biol. - 2019. - Vol. 2019, Is. 45. - С. 142-163, DOI 10.17223/19988591/45/8 . - ISSN 1998-8591
   Перевод заглавия: Кормовая база и потенциал рыбопродуктивности бассейна Енисея (верхнее и среднее течение)

Кл.слова (ненормированные):
Acipenser ruthenus -- Artificial reproduction -- Brachymystax lenok -- Coregonus lavaretus -- Ichthyofauna -- Thymallus arcticus -- Zoobenthos

Аннотация: The Yenisey basin had been famous for its fish richness for a long time, and the core of the fishery had been such valuable species as salmon, whitefish and sturgeon. However, the construction of the Angara-Yenisey cascade of hydroelectric power stations, domestic and industrial waste pollution, and intensive consumer catching played a huge role in changing fish habitats and the structure of ichtyocoenosis. The complex anthropogenic load eventually led to a reduction in stocks and a decrease in the natural reproduction of valuable and highly valued fish species. To preserve and restore natural populations of valuable fish species, it is necessary to increase the efficiency of reproduction, both natural and artificial. On the other hand, successful implementation of aquaculture plants is impossible without assessing fish stocks, their demographic status, habitat conditions and capacious information about the feed base. The aim of this research was to reveal the current development level of ichthyofauna and feed base in the Yenisey basin, and, on this basis, to assess the potential fish productivity and the maximum allowable volumes of introduction of juvenile fish as objects of artificial reproduction. In 2015, we carried out zoobenthos and ichthyofauna studies in the Yenisey and the rivers of its basin (Abakan, Mana, Kan, Agul, Kungus) (See Table 1). In the Yenisey, the material was collected from 5 stations in the upper reaches (the Republics of Tyva and Khakassia) and 10 stations in the middle reaches (from the dam of the Krasnoyarsk HPS to the mouth of the Angara River); in the tributaries of the Yenisey there were from 4 (Kungus River) to 10 (Mana River) stations. In the collection and processing of ichthyological and hydrobiological material, we used generally accepted methods. Zoobenthos samples were taken in watercourse ripals; fishing was confined to the sites of hydrobiological sampling. We assessed potential fish productivity based on the reserve of benthic feeding organisms’ production. The total biomass of forage organisms (zoobenthos) was calculated taking into account the area of the water body. The maximum allowable amount of immigration of juveniles (larvae) of artificial reproduction objects, which can be released into a water body, was determined based on the reserve of production of food organisms, as well as taking into account the yield to the fishery (the commercial stock replenishment factor) and the average mass of fish producers. In total, we carried out 54 control catches with fixed nets and 30 catches with drift nets. Ichtyocenoses were described according to Gadinov and Dolgikh (2008) and Zadelenov et al. (2004). This research presents the results of studying 175 zoobenthos samples and approximately 600 fish samples selected for a comprehensive biological analysis. In the benthic fauna of the investigated watercourses, lithoreophilic organisms predominated, they populated stony soils on a fast current. The basis of biomass in the upper reaches of the Yenisey and in its tributaries was mayflies, stoneflies and caddis flies; within the republic of Khakassia and in the middle reaches of the Yenisey, amphipods and chironomids took the lead (See Fig. 1). The Yenisei was characterized by a low biomass in the upper reaches (4.2 g/m 2 ) and the maximum biomass in the area from the Mainskaya dam to the city of Abakan (19.5 g/m 2 ), where Baikal-born amphipods develop in bulk. High values were found in the Mana and Kan Rivers (12.3 and 10.8 g/m 2 , correspondingly) with caddisflies’ domination. In the Abakan, Agul and Kungus Rivers, the biomass did not exceed 8 g/m 2 , on average, the main contribution was made by stoneflies (See Fig. 2). Grayling, dace and perch dominated in the studied areas in ichthyocenoses of the Yenisey; the tributaries of the Yenisey belong to the salmon-like type, the basis of the ichthyofauna was taimen, lenok and grayling (See Fig. 3). Since there are no obligate plankton eaters in the ichthyofauna of the investigated rivers, the potential fish productivity was calculated on the basis of the reserve of zoobenthos production. The upper reaches of the Yenisey and tributaries of the Abakan and Agul Rivers are characterized by the lowest potential fish productivity (less than 20 kg/ha) (See Table 2). In the Yenisey from the Mainskaya HPS to Abakan (Republic of Khakassia), the potential fish productivity reaches the maximum (96 kg/ha) due to the abundance of higher aquatic vegetation in the ripal of the river, which is densely populated by amphipods. However, food objects in macrophyte thickets are difficult to access for mass consumption by adult fish, so we did not take into account the fish productivity of the shallow-water zone when calculating the receiving capacity in this area. The total maximum permissible volume of introduction of grown-up juvenile fish (mainly taimen, lenok, grayling) into the studied watercourses for the purposes of artificial reproduction can reach 140 million pieces (See Table 3). The greatest receiving capacity (53 million pieces) is possessed by the Yenisey (on the area from the dam of the Krasnoyarsk HPS to the Angara River), the lowest by the Agul River and its tributary Kungus (5.4 and 2.3 million pieces, correspondingly). The received values of the permissible volumes of juvenile infestation of the studied watercourses give an idea that the fishery potential of the studied watercourses is very high. Nevertheless, to restore the population of fish valuable for the region through artificial reproduction, it is necessary to develop a whole range of measures, including the protection of aquatic biological resources and the rational organization of the fishery. © 2019 Tomsk State University. All rights reserved.

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Держатели документа:
Environmental Monitoring Technologies Department, Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences, 50 Akademgorodok, Krasnoyarsk, 660036, Russian Federation
Krasnoyarsk Branch of VNIRO (Scientific Research Institute of Ecology of Fishery Reservoirs), 33 Parizhskoi Kommuny Str., Krasnoyarsk, 660097, Russian Federation

Доп.точки доступа:
Andriаnоvа, A. V.; Derbineva, E. V.; Gadinov, A. N.; Krivolutskiy, D. А.; Melnikov, I. I.

    The use of satellite information (MODIS/Aqua) for phenological and classification analysis of plant communities
/ Y. Ivanova [et al.] // Forests. - 2019. - Vol. 10, Is. 7, DOI 10.3390/f10070561 . - ISSN 1999-4907
Аннотация: Vegetation indices derived from remote sensing measurements are commonly used to describe and monitor vegetation. However, the same plant community can have a different NDVI (normalized difference vegetation index) depending on weather conditions, and this complicates classification of plant communities. The present study develops methods of classifying the types of plant communities based on long-term NDVI data (MODIS/Aqua). The number of variables is reduced by introducing two integrated parameters of the NDVI seasonal series, facilitating classification of the meadow, steppe, and forest plant communities in Siberia using linear discriminant analysis. The quality of classification conducted by using the markers characterizing NDVI dynamics during 2003-2017 varies between 94% (forest and steppe) and 68% (meadow and forest). In addition to determining phenological markers, canonical correlations have been calculated between the time series of the proposed markers and the time series of monthly average air temperatures. Based on this, each pixel with a definite plant composition can be characterized by only four values of canonical correlation coefficients over the entire period analyzed. By using canonical correlations between NDVI and weather parameters and employing linear discriminant analysis, one can obtain a highly accurate classification of the study plant communities. © 2019 by the authors.

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Держатели документа:
Institute of Biophysics SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50-50, Krasnoyarsk, 660036, Russian Federation
Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50, Krasnoyarsk, 660036, Russian Federation
Institute of Computational Modeling SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50-44, Krasnoyarsk, 660036, Russian Federation
Sukachev Institute of Forest SB RAS, Federal Research Center 'Krasnoyarsk Science Center SB RAS', Academgorodok 50-28, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Ivanova, Y.; Kovalev, A.; Yakubailik, O.; Soukhovolsky, V.

    Identification of vegetation types and its boundaries using artificial neural networks
/ M. Saltykov, O. Yakubailik, S. Bartsev // IOP Conference Series: Materials Science and Engineering : Institute of Physics Publishing, 2019. - Vol. 537: International Workshop on Advanced Technologies in Material Science, Mechanical and Automation Engineering - MIP: Engineering-2019 (4 April 2019 through 6 April 2019, ) Conference code: 149243, Is. 6, DOI 10.1088/1757-899X/537/6/062001 . -
Аннотация: The applicability of artificial neural networks (ANN) for the identification of vegetation types using satellite multispectral imagery was studied. The study was focused on the three main vegetation types found in the south of the Krasnoyarsk Region: mixed forest, boreal forest and grassland. Sentinel-2 satellite images were used as a data source for the neural networks. It was shown that vegetation type can be identified pixel-by-pixel using 12 spectral channels and simple feed forward ANN with good quality and reliability. Analysis of the input layer of the trained neural networks allowed several spectral bands to be selected that were the most valuable for the ANN decision and not used in the classic NDVI vegetation index. © 2019 IOP Publishing Ltd. All rights reserved.

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Держатели документа:
Institute of Biophysics, FRC KSC SB RAS, Akademgorodok 50/50, Krasnoyarsk, 660036, Russian Federation
Institute of Computation Modeling, FRC KSC SB RAS, Akademgorodok 50/44, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Saltykov, M.; Yakubailik, O.; Bartsev, S.

    Development of an algorithm for assessing the underlying surface in the areas of felling on heat maps based on remote sensing data
/ A. V. Dergunov [et al.] // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM : International Multidisciplinary Scientific Geoconference, 2019. - Vol. 19: 19th International Multidisciplinary Scientific Geoconference, SGEM 2019 (30 June 2019 through 6 July 2019, ) Conference code: 150486, Is. 2.2. - P517-524, DOI 10.5593/sgem2019/2.2/S10.063 . -
Аннотация: Response to anthropogenic disturbances, recorded according to remote sensing of the Earth, has a long-term manifestation not only in the spectral characteristics of the channels of visible and near infrared ranges of satellite imagery, but also in the study of the temperature field. The paper deals with the local excess temperature of the underlying surface in the areas of cutting the territory of the Angara region, compared with the background values identified by satellite data Landsat 5 and 8 for the seventeen-year period. Estimates of the relative difference in the temperature of the underlying surface of the cutting area in comparison with the average background values are obtained. To this end, a number of software products to automate the archiving and conversion of satellite information has been developed. These software products are designed for calculation of the radio-brightness temperature of the underlying surface of disturbed and undisturbed areas of forest vegetation in the pre-selected areas of the territory. They are also used to average the obtained data of radio-brightness temperature and to calculate the difference between the average values of the radio-brightness temperature of the underlying surface of the disturbed areas relative to the undisturbed, that is, the background. This approach can significantly reduce the processing time of a large amount of information and optimize the amount of data storage. Separately, the study area was analyzed according to the NDVI vegetation index. The data obtained demonstrate a high rate of recovery of grass cover and grass-shrub layer immediately after damage to forest vegetation. It is shown that during the considered period of time (17 years) the value of excess temperature decreases, which is determined by the processes of vegetation restoration, including stand on felling. It is established that the increased temperatures of the underlying surface in the place of cuttings are remained for at least 15 years, and the temperature increase over the background values in the conditions of the observed successional processes is not less than 10%. As a limiting factor in the restoration of the temperature background of the underlying surface, fires can act. © SGEM2019. All Rights Reserved.

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Держатели документа:
Federal Research Center Krasnoyarsk Science Center of the SB RAS, Krasnoyarsk, Russian Federation
Institute of Computational Modelling SB RAS, Krasnoyarsk, Russian Federation
Sukachev Institute of Forest SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Dergunov, A. V.; Krasnoshchokov, K. V.; Ponomarev, E. I.; Yakubailik, O. E.