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Найдено документов в текущей БД: 16

    Observed trends of chlorophyll concentration in the surface layer of the Northern and Central Atlantic (1979-1983)
[Text] / A. P. Shevyrnogov, G. S. Vysotskaya // SYNERGISTIC USE OF MULTISENSOR DATA FOR LAND PROCESSES. Ser. ADVANCES IN SPACE RESEARCH : PERGAMON PRESS LTD, 1998. - Vol. 22: A3 1 Symposium of COSPAR Scientific Commission A on Synergistic Use of Multisensor Data for Land Processes at 31st COSPAR Scientific Assembly (JUL 14-21, 1996, BIRMINGHAM, ENGLAND), Is. 5. - P701-704, DOI 10.1016/S0273-1177(97)01136-8. - Cited References: 7 . - ISBN 0273-1177. - ISBN 0-08-043469-X
РУБ Engineering, Aerospace + Astronomy & Astrophysics + Geosciences, Multidisciplinary + Meteorology & Atmospheric Sciences + Remote Sensing

Кл.слова (ненормированные):
chlorophyll -- primary production -- remote sensing -- Atlantic Ocean

Аннотация: To preserve and utilize the biosphere it is imperative that we understand the long-term dynamics of the primary production process on our planet. Variability of chlorophyll concentration in the ocean is one of the most important components of this process. However, size and access make its investigation labour-intensive. Dependence of primary production on high variability of hydrophysical phenomena in the ocean (fluctuations of currents, frontal zones, etc.) makes it difficult to locate points to measure chlorophyll concentration dynamics. To locate such quasistationary zones with respect to seasonal dynamics of chlorophyll concentration by satellite data the Institute of Biophysics (Russian Academy of Sciences, Siberian Branch) has developed a geoinformation system. II use made it possible to locate such zones over the entire ocean. The work shows zones on the Central and Northern Atlantic. They form the ground to analyse perennial dynamics of chlorophyll concentration. The quasistationary zones are proposed for systematic monitoring of phytopigment concentration by space-borne and marine craft. (C) 1998 COSPAR. Published by Elsevier Science Ltd.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Biophys, Krasnoyarsk 660036, Russia
Russian Acad Sci, Siberian Branch, Ctr Comp, Krasnoyarsk 660036, Russia
ИБФ СО РАН
ИВМ СО РАН
Institue of Biophysics, Siberian Branch, Russian Academy of Sciences, Academgorodok 660036, Krasnoyarsk, Russian Federation
Computer Center, Siberian Branch, Russian Academy of Sciences, Academgorodok 660036, Krasnoyarsk, Russian Federation

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

    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.

    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.

    «Лестница» потепления с середины 20 века
[Текст] : доклад, тезисы доклада / П. В. Белолипецкий [и др.] // CITES 2017 : международная молодежная школа и конференция по вычислительно-информационным технологиям для наук об окружающей среде. - Томск : Томский центр научно-технической информации, 2017. - С. 86-90 . - ISBN 978-5-89702-389-9
   Перевод заглавия: A staircase signal in the warming of the mid-20th century

Аннотация: Regime-shift like structures in decadal climate change have been detected in many studies of temperature and related climatic variables by (Yasunaka and Hanawa 2002; Chavez et al. 2003; Lo and Hsu 2010; Reid and Beaugrand, 2012; Jones , 2012; Reid et al., 2016; Jones and Ricketts, 2017). Much attention has been given to a pause in warming (hiatus) during 1998-2014 (Tollefson 2014). We recently suggested and applied a simple method to adjust HadCRUT4 surface temperature anomalies for ENSO effects (Belolipetsky et al. 2015; Bartsev et al. 2016; Bartsev et al. 2017). After this adjustment for major ENSO and volcanic effects the hiatus is even more pronounced. Moreover, we observed similar quasi-stable periods during 1950-1987 and 1988-1997 and almost all the warming occurred during the ~1987 and ~1997 shifts. It should be mentioned that a similar shift has likely occurred in 2015-2016, but this issue is outside the scope of this short paper. Here we want to demonstrate the reality of the staircase pattern using different measurements and climate parameters. We analyzed several global datasets: HadCRUT v4.5 - land and sea surface temperature (SST) anomalies; ICOADS v2.5 - SST anomalies measured from ships; NCEP OI v2 - SST measured by satellite instruments; UAH MSU v5.6 and RSS MSUv3.3 - two satellite datasets measuring temperature of the lower troposphere (TLT). The ENSO signal was removed by empirical orthogonal functions (EOF) analysis, and gave similar results for all datasets. A similar staircase behavior was found in global NCEP/NCAR reanalyses of 300mb meridional wind and outgoing longwave radiation (OLR) in northern and southern midlatitudes. These many different sources confirm the reality of the regime-shift staircase structure of recent warming, which is masked by short-term ENSO variability and the effects of volcanic eruptions. The warming amplitude of the analysed datasets has not changed significantly after the adjustment, but the shape changed considerably. Adjusted for ENSO temperature dynamics the considered datasets have a striking staircase form: linear trends for three quasi-stable periods 1950-1987, 1988-1997 and 1998-2014 are near zero and nearly all warming occurred during the two shifts of 1987/1988 and 1997/1998 (Fig. 1a, b, c and d). a b с d Fig. 1. Staircase consisting of regimes and shifts in various climate parameters: a) adjusted for ENSO and volcanoes yearly global surface temperature anomalies (HadCRUT4) at 1950-2014 years; b) adjusted for ENSO monthly SST anomalies (ICOADS) at 1950-2016 years and aerosol optical depth (reflecting influence of major volcanic eruptions); c) The same as ‘b' for satellite based SST measurements (NCEP OI v2) at 1983-2016 years; d) The same as 'b' for databases of satellite measurements of lower troposphere temperature (UAH MSU v6.0 and RSS MSU v3.3) at 1980-2016 years.

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Держатели документа:
Федеральный исследовательский центр "Красноярский научный центр Сибирского отделения Российской академии наук

Доп.точки доступа:
Белолипецкий, П.В.; Belolipetsky P.V.; Барцев, С.И.; Bartsev S.I.; Салтыков, М.Ю.; Saltykov M.Y.; Дегерменджи, А.Г.; Degermendzhi A.G.; Белолипецкий, В.М.; Belolipetsky V.M.; Иванова, Ю.Д.; Ivanova Y.D.; Почекутов, А.А.; Pochekutov A.A.; CITES 2017(2017 ; 28.08 - 07.09 ; Таруса - Звенигород)
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912.4
М 77

    Мониторинг температуры земной поверхности территории Красноярска и окрестностей на основе спутниковых данных LANDSAT-8
[Текст] : статья / А. К. Матузко, О. Э. Якубайлик // Успехи современного естествознания. - 2018. - № 7. - С. 177-182 . - ISSN 1681-7494
   Перевод заглавия: MONITORING OF LAND SURFACE TEMPERATURE IN KRASNOYARSK AND ITS SUBURBAN AREA BASED ON LANDSAT-8 SATELLITE DATA
УДК

Аннотация: Настоящая работа посвящена анализу температурных аномалий в городе Красноярске и его окрестностях («городские острова тепла»), которые оценивались по спутниковым данным Landsat-8 теплового инфракрасного диапазона и наземным данным с автоматизированных постов наблюдения за атмосферой. Актуальность исследования обусловлена крайне неблагоприятной экологической обстановкой в городе, сложностью оценки метеорологических характеристик территории из-за значительной неравномерности рельефа, температурным режимом разрезающей город пополам реки Енисей, который обусловлен расположенной в 40 км от города Красноярской ГЭС. Задача состояла в выявлении характерных температурных неоднородностей в городе, их пространственного местоположения и количественной оценке. Всего было рассмотрено 10 безоблачных сцен Landsat-8 на территорию Красноярска и окрестностей, в бесснежный период с 2013 по 2016 гг. Вычисления проводились на основе данных радиометра TIRS (10-й канал – ИК-диапазон 10,3–11,3 мкм). Данные каналов видимого диапазона 4-3-2 (красный-зеленый-синий), регистрируемые радиометром OLI Landsat-8, использовались для классификации изображений, определения типа подстилающей поверхности. Была выполнена обработка спутниковых данных, в том числе – классификация изображения, определение коэффициентов эмиссии для различных участков городской территории, вычисление температуры поверхности. Также был проведен сравнительный анализ полученных данных с измерениями на метеостанциях. Было обнаружено, что температура, измеренная разными способами, имеет сопоставимые значения. По результатам исследования были сформированы сезонные тепловые аномалии городской территории для трех сезонов – лета, весны и осени. Было выделено несколько сезонных тепловых аномальных зон разного типа – природные возвышенности, территории около нескольких крупных торгово-развлекательных центров, промышленные зоны ряда предприятий, участки теплового загрязнения сточными водами.
The subject of the analysis in this paper were temperature anomalies in the city of Krasnoyarsk and its surroundings («Urban Heat Islands»), which were estimated from satellite data Landsat-8 thermal infrared and ground data from automated observation posts for the atmosphere. The relevance of the study is due to the extremely unfavorable environmental situation in the city. The task was to identify characteristic temperature inhomogeneities in the city, their spatial location and quantitative assessment. In total, 10 cloudless Landsat-8 scenes were examined on the territory of Krasnoyarsk and its environs during the snowless period from 2013 to 2016. The calculations were based on the data of the TIRS radiometer (10th channel – IR range of 10.3-11.3 µm). The data of the channels of the visible range 4-3-2 (red-green-blue), registered by the OLI Landsat-8 radiometer, were used to classify the images, to determine the type of underlying surface. Satellite data processing was performed. Also, a comparative analysis of the data obtained with measurements at weather stations was carried out. It was found that the temperature measured in different ways has comparable values. According to the results of the study were formed seasonal thermal anomalies of the urban area. Several seasonal thermal anomalous zones of different types such as natural elevations, territories of about several large shopping and entertainment centers, industrial zones of a number of enterprises, sites of thermal pollution by sewage were singled out.

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Держатели документа:
Институт вычислительного моделирования СО РАН

Доп.точки доступа:
Матузко, А.К.; Matuzko A.K.; Якубайлик, О.Э.; Yakubaylik O.E.
004.4, 912.4
M81

    Monitoring of Land Surface Temperature in Krasnoyarsk and its Suburban Area Based on Landsat 8 Satellite Data
[Text] : статья / Aleksandra K. Matuzko, Oleg E. Yakubailik // Журнал Сибирского федерального университета. Серия: Техника и технологии. - 2018. - Т. 11, № 8. - P934-945, DOI 10.17516/1999-494X-0115 . - ISSN 1999-494X
   Перевод заглавия: Мониторинг температуры земной поверхности в окрестностях Красноярского края на основе данных спутника Landsat 8
УДК

Аннотация: The problem of temperature anomalies is typical for all major cities in the world. Space thermal images are a powerful source of information for analyzing and determining outlines of temperature anomalies within a single territory. Determination of the nature and boundaries of temperature anomalies will help to understand the causes of the unfavorable ecological situation in Krasnoyarsk: where, in addition to high industrial emissions, atmospheric processes also exert their influence, which lead to the fact that impurities linger and concentrate over the city. The development of advanced space technologies allows the collection of a variety of diverse data more efficiently and at a lower cost than the organization of an appropriate ground network of observation posts and points. One of the most interesting and important indicators about the surface of the Earth is the land surface temperature. Land surface temperature is determined by the balance of incoming and outgoing energy. The main and overwhelming source of energy coming to the surface of the Earth is solar radiation. The 10th and 11th bands of Landsat 8 satellite measure thermal infrared radiation (TIR). The thermal infrared range is particularly useful for determining the temperature difference between the city and surrounding rural areas, and for studying the phenomenon of an urban heat island (UHI).
Проблема температурных аномалий характерна для всех крупных городов мира. Космические тепловые снимки являются весомым источником информации для анализа и определения контуров температурных аномалий в пределах одной территории. Определение природы и границ температурных аномалий поможет понять причины неблагоприятной экологической ситуации в Красноярске: где, помимо высоких промышленных выбросов, оказывают влияние атмосферные процессы, которые приводят к тому, что примеси задерживаются и концентрируются над городом. Развитие передовых космических технологий позволяет осуществлять сбор множества разнообразных данных более эффективно и с меньшими затратами, чем организация соответствующей наземной сети пунктов и постов наблюдения. Одним из наиболее интересных и важных показателей о поверхности Земли служит температура земной поверхности. Температура на поверхности Земли определяется балансом приходящей и уходящей энергии. Основным и подавляющим источником энергии, поступающей к поверхности Земли, является солнечное излучение. Каналы 10-й и 11-й Landsat 8 работают в том же диапазоне, что и канал TIR на более ранних спутниках программы Landsat. Каналы 10-й и 11-й спутника Landsat 8 измеряют тепловое инфракрасное излучение или TIR (thermal infrared). Разрешение для тепловых каналов 100 м.

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Держатели документа:
Institute of Computational Modelling SB RAS

Доп.точки доступа:
Matuzko, Aleksandra K.; Матузко А.К.; Yakubailik, Oleg E.; Якубайлик О.Э.

    Urban heat island effects over Krasnoyarsk obtained on the basis of Landsat 8 remote sensing data
/ A. K. Matuzko, O. E. Yakubailik // IOP Conference Series: Earth and Environmental Science : Institute of Physics Publishing, 2018. - Vol. 211: International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2018 (5 July 2018 through 11 July 2018, ) Conference code: 143586, Is. 1, DOI 10.1088/1755-1315/211/1/012010 . -
Аннотация: Land surface temperature anomalies are typical for all major cities in the world. Satellite data in the thermal infrared range are a powerful source of information for analyzing and determining of temperature anomalies. Determination of the nature and boundaries of temperature anomalies will help to understand the causes of the unfavorable ecological situation in Krasnoyarsk: where, in addition to high industrial emissions, the atmospheric processes also exert their influence, which may cause the impurities linger and concentrate over the city. This paper presents a technique for monitoring the land surface temperature on the basis of thermal infrared data from the 10th band of Landsat 8 satellite. Ground-based temperature data from an environment protection state regional system for observing the state of the atmosphere in the Earth's surface layer are used. The results show that the temperature in the places of temperature anomalies is 5-8 degrees higher than the average surface temperature of the city. Based on the results of an analysis of summer thermal multi-temporal space images, several thermal zones of different nature are outlined in the territory of the city. © Published under licence by IOP Publishing Ltd.

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Держатели документа:
Institute of Computational Modelling of the Siberian Branch of the Russian Academy of Science, Akademgorodok 50/44., Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, Svobodny pr., 79., Krasnoyarsk, 660041, Russian Federation

Доп.точки доступа:
Matuzko, A. K.; Yakubailik, O. E.
004.4, 912.4
П 42

    ПОВЫШЕНИЕ ДЕТАЛЬНОСТИ СПУТНИКОВОГО КАРТОГРАФИРОВАНИЯ ТЕМПЕРАТУРЫ ЗЕМНОЙ ПОВЕРХНОСТИ В Г. КРАСНОЯРСКЕ
[Текст] : статья / А. К. Матузко, О. Э. Якубайлик // Решетневские чтения. - 2018. - Т. 1, № 22. - С. 374-375 . - ISSN 1990-7702
   Перевод заглавия: INCREASING THE DETAIL OF THE SATELLITE MAPPING OF THE LAND SURFACE TEMPERATURE AT KRASNOYARSK
УДК

Аннотация: Рассматриваются методы оценки температуры земной поверхности по данным ДЗЗ. Сочетание спутниковых данных с нескольких космических аппаратов повышает уровень детализации температурных карт. Представленные результаты показывают расположение температурных аномалий в Красноярске.
The methods of land surface temperature estimation based on remote sensing data are considered. Combination of satellite data from several spacecraft increase the level of detail of temperature maps. The presented results show the location of temperature anomalies in Krasnoyarsk.

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Держатели документа:
Институт вычислительного моделирования СО РАН
Сибирский федеральный университет

Доп.точки доступа:
Матузко, А.К.; Matuzko A.K.; Якубайлик, О.Э.; Yakubailik O.E.

    ASSESSMENT OF THERMAL CONDITIONS IN KRASNOYARSK URBAN AREA WITH USE OF DIFFERENT SATELLITE DATA AND GEOGRAPHIC INFORMATION SYSTEM
/ A. K. Matuzko, O. E. Yakubailik // Therm. Sci. - 2019. - Vol. 23: 8th All-Russian Scientific Conference on Current Issues of Continuum (NOV, 2018, Tomsk State Univ, Tomsk, RUSSIA). - S615-S621, DOI 10.2298/TSCI19S2615M. - Cited References:26. - This work was carried out with partial financial support from the Russian Foundation for Basic Research and the Government of the Krasnoyarsk Territory (project No. 18-41-242006 p_mk). . - ISSN 0354-9836. - ISSN 2334-7163
РУБ Thermodynamics

Аннотация: Satellite data in the thermal infrared range are a powerful source of information for the analysis and determination of city urban area temperature anomalies. The article presents a technique for monitoring the land surface temperature on the basis of combination of "Landsat 8" satellite thermal infrared data with Planet-Scope satellite constellation high resolution data. Such combination of satellite data from several spacecrafts increase the detalization of temperature maps to the level of individual city blocks. Determination of the nature and boundaries of temperature anomalies will help to understand the causes of the unfavorable environmental situation in Krasnoyarsk, where, in addition to high industrial emissions, their influence and atmospheric processes, leading to the fact that impurities are delayed and concentrated over the city. The results shows that the temperature in the places of thermal anomalies is 5-8 higher than the average land surface temperature of the city. Based on the results of the analysis of summer thermal multi-temporal space images, several thermal zones of different nature were outlined on the territory under consideration. This information can be used in planning the development of the city, the design of new urban neighborhoods.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Computat Modelling, Krasnoyarsk, Russia.
Siberian Fed Univ, Krasnoyarsk, Russia.

Доп.точки доступа:
Matuzko, Alexandra K.; Yakubailik, Oleg E.; Yakubailik, Oleg; Russian Foundation for Basic Research; Government of the Krasnoyarsk Territory [18-41-242006 p_mk]

    Detection of changes in urban environment based on infrared satellite data
/ A. A. Gosteva, A. K. Matuzko, O. E. Yakubailik // 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/537/6/062051 . -
Аннотация: Changes in the microclimate of the urban environment often occur as a result of changes in urban development, artificial changes in the relief, and the cutting down of forest plantations. Due to changes in the urban environment there is a change in the microclimate of the city, which entails a direct change in the land surface temperature. Changes in the urban environment can be detected using space images of different spatial resolution in the visible and far infrared range. Landsat data is currently the most accessible, complete, and open for studying these changes. Thermal imaging is widely used for monitoring urban sites. To increase the spatial resolution, synthesis of Landsat-8 images with higher spatial resolution images of Planet Scope is used, which allows increasing the spatial resolution of surface temperature maps produced from Landsat-8 images from 30 meters to 3 meters. The paper presents the results of an assessment of the land surface temperature in the city of Krasnoyarsk for a two-year period from September 2016 to September 2018 based on the analysis of Landsat-8 and Planet Scope satellite images. © 2019 IOP Publishing Ltd. All rights reserved.

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

Доп.точки доступа:
Gosteva, A. A.; Matuzko, A. K.; Yakubailik, O. E.

    Проблема устойчивого регионального землепользования и продовольственная безопасность
[Текст] : статья / Н. Я. Шапарев // Проблемы безопасности и чрезвычайных ситуаций. - 2008. - № 3. - С. 12-17 . - ISSN 0869-4176
   Перевод заглавия: The Regional Land-use and Food Safety

Аннотация: <i>Дается анализ землепользования в Красноярском крае. Показана неустойчивость процесса: идет сокращение земель сельскохозяйственного назначения, сбора зерна, соответ- * </i>Работа поддержана грантом РФФИ и ККФН (07-05-96802) и грантом Президента РФ для ведущих научных школ (НШ - 3428.2006.9) 12 Основы государственной политики в области безопасности <i>ственно поголовья скота и производства продовольствия. Неустойчивость землепользования привела к утрате продовольственной безопасности. Предлагается переход на устойчивое землепользование путем изменения системы платежей за природные ресурсы</i>
The analysis of land-use in Krasnoyarsk Krai is given. The unsustainability is shown: the reducing of agricultural lands areas, harvest of grain, number of livestock and, correspondingly, the decreasing of agricultural production, is going on. There has been shown that unsustainability of land-use leaded to loss of food safety. The transition to sustainable land-use is being proposed.

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ИВМ СО РАН

Доп.точки доступа:
Шапарев, Н.Я.; Shaparev N.Ya.

    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.

    Identification of changes in urban environment on the basis of the satellite data of the infrared range (on the example of Krasnoyarsk)
/ A. A. Gosteva, A. K. Matuzko, O. E. Yakubailik // InterCarto, InterGIS : Lomonosov Moscow State University, 2019. - Vol. 25: InterCarto, InterGIS, ) . - С. 90-100, DOI 10.35595/2414-9179-2019-2-25-90-100
   Перевод заглавия: ВЫЯВЛЕНИЕ ИЗМЕНЕНИЙ ГОРОДСКОЙ СРЕДЫ НА ОСНОВЕ СПУТНИКОВЫХ ДАННЫХ ИНФРАКРАСНОГО ДИАПАЗОНА (НА ПРИМЕРЕ КРАСНОЯРСКА)

Кл.слова (ненормированные):
Climate of the urban environment -- Land surface temperature -- Landsat -- Planet Scope -- Thermal infrared imagery

Аннотация: A big city in the modern world has a strong influence on climate formation; specific micro-climatic conditions are created on certain streets, determined by urban development, street coverage, distribution of green areas. The city, especially with a highly developed industry, pollutes the atmosphere above itself, increases its turbidity and thereby reduces the influx of solar radiation. The decrease in solar radiation is further enhanced by high buildings in narrow streets. Due to the same shroud of smoke and dust in the city, reduced effective radiation, and hence night cooling. At the same time, radiation reflected by walls and pavements joins the scattered radiation in the city. An important feature of the city is the change in the microclimate of the urban environment. Such changes often occur as a result of changes in urban development, artificial relief changes, and the cutting down of forest plantations. Due to changes in the urban environment, there is a change in the microclimate of the city, which entails a direct change in the temperature of the earth’s surface. Changes in the urban environment can be detected using space images of different spatial resolution in the visible and far infrared range. To study these changes, Landsat data is currently the most accessible, complete, and open. The method of visual analysis conducted on visible spectral channels makes it difficult to assess changes, especially in large areas. Thermal imaging is widely used for research and monitoring of man-made objects such as pipelines, urban facilities, industrial facilities and pollution. It is important that thermal images contain information that is almost impossible to obtain in any other way, for example, using images in the visible and near infrared range. In order to improve spatial resolution, Landsat 8 uses the synthesis of this image with images of a higher spatial resolution Planet Scope, which allows increasing the spatial resolution of Landsat 8 surface temperature maps from 30 to 3 meters. Due to the active development of the city, there is a change in the microclimate of the city, which entails a direct change in the temperature of the earth’s surface. The paper presents the results of the assessment of the temperature of the earth’s surface in the city of Krasnoyarsk for a two-year period from September 2016 to September 2018 based on the analysis of Landsat 8 and Planet Scope satellite images. © 2019 Lomonosov Moscow State University.

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Держатели документа:
Siberian Federal University, Kirenskogo St. 26, ULK building., Krasnoyarsk, 660074, Russian Federation
Institute of Computational Modelling of the Siberian Branch of the Russian Academy of Sciences (ICM SB RAS), Akademgorodok 50/44, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Gosteva, A. A.; Matuzko, A. K.; Yakubailik, O. E.

    Zoning of the territory on the basis of morphometric analysis of basin geosystems
/ M. G. Erunova, O. E. Yakubailik // IOP Conference Series: Earth and Environmental Science : Institute of Physics Publishing, 2020. - Vol. 421: 2nd International Scientific Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH-II 2019 (13 November 2019 through 14 November 2019, ) Conference code: 156846, Is. 6. - Ст. 062039, DOI 10.1088/1755-1315/421/6/062039 . -
Аннотация: The problem of creating a geographic spatial database of morphometric indicators based on the basin approach for several rivers in the Krasnoyarsk region is considered. The division of the territory into catchment basins is carried out in a hierarchical system, up to the river tributaries of the 4-th order. The initial data for the construction of watersheds was a MERIT DEM Hydro digital relief model, vector data on the hydrographic network from A.P. Karpinsky All-Russian Research Geological Institute (VSEGEI) and Roscartography (Federal Agency of Geodesy and Cartography). In the process of data processing methods and algorithms of spatial analysis of relief and hydrological modeling, implemented in GIS software Whitebox GAT, QGIS and ArcGIS, were used. The main morphometric characteristics of the relief are calculated: slope, exposure of slopes; with the help of zone statistics for basins, the average values of these characteristics, the main statistics are calculated. We consider this work as the first stage in the creation of information support for the tasks of land use analysis, assessment of the natural resource potential of the region. © 2019 IOP Publishing Ltd. All rights reserved.

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

Доп.точки доступа:
Erunova, M. G.; Yakubailik, O. E.

    Search of changes in the temperature of urban environment with use of satellite data on the example of the Krasnoyarsk
/ A. A. Gosteva, A. K. Matuzko, O. E. Yakubailik // CEUR Workshop Proceedings : CEUR-WS, 2019. - Vol. 2534: 2019 All-Russian Conference ""Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes"", SDM 2019 (26 August 2019 through 30 August 2019, ) Conference code: 156641. - P401-405 . -
Аннотация: Changes in the urban environment can be detected using satellite images of different spatial resolutions in the visible and far infrared range. Landsat data is currently the most accessible, complete, and open for studying these changes. Thermal imaging is widely used for research and monitoring of man-made objects such as pipelines, urban facilities, industrial facilities and pollution. The paper presents the results of the assessment of the land surface temperature in the Krasnoyarsk city for the two-year period from September 2016 to September 2018 based on the analysis of Landsat-8 satellite images. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

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

Доп.точки доступа:
Gosteva, A. A.; Matuzko, A. K.; Yakubailik, O. E.

    Probabilistic methods for risk assessment of anthropogenic accidents and emergency
/ U. S. Ivanova, O. V. Taseiko, D. A. Chernykh ; ed.: V. V. Lepov [et al.] // 1ST INTERNATIONAL CONFERENCE ON INTEGRITY AND LIFETIME IN EXTREME : ELSEVIER SCIENCE BV, 2019. - Vol. 20: 1st International Conference on Integrity and Lifetime in Extreme (OCT 14-17, 2019, Yakutsk, RUSSIA). - P136-142. - (Procedia Structural Integrity), DOI 10.1016/j.prostr.2019.12.129. - Cited References:11. - The reported study was funded by Russian Foundation for Basic Research, Government of Krasnoyarsk Territory, Krasnoyarsk Regional Fund of Science, to the research project. 18-47-240006: "Methods and information technologies for risk assessment of the development of socio-natural-technogenic systems in an industrial region". . -
РУБ Engineering, Mechanical + Mechanics

Кл.слова (ненормированные):
Social-natural-technogenic system -- Sustainable Development -- Technosphere -- Risk of emergency

Аннотация: The presentation of an industrial region as a unified socio-natural-technogenic (S-N-T) system in which various risk groups are formed and implemented is proposed. Detailed attention is paid to the technosphere subsystem. The paper defines the basic risks of the technosphere, presents the probability of an emergency in the Russian Federation, allowing to calculate the risks for various municipalities. The results of systematization and graphical-probabilistic representation of sources and factors causing accidents and man-made disasters in the Krasnoyarsk territory are presented. The results of the emergency risk in the Krasnoyarsk territory for various reasons. The results of emergencies risks on the Krasnoyarsk territory were obtained. The highest value is 8.10(-3) the emergencies risk on land transport, the lowest value is obtained for the occurrence of emergencies on the main oil pipelines 4,3.10(-7). Determination of probabilities by the main sources of anthropogenic emergencies allows unifying the risk assessment methodology and improving the management efficiency of territorial S-N-T systems (Preventing the occurrence and development of emergency situations, reducing damage and losses in case of their occurrence, increasing the stability and safety of facilities in emergency situations). (C) 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ILEE-2019 organizers

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Держатели документа:
RAS, Inst Computat Technol SB, Krasnoyarsk Branch Off, Mira Av 53, Krasnoyarsk 660049, Russia.
Siberian Fed Univ, Svobodny Av 79, Krasnoyarsk 660041, Russia.
Reshetnev Siberian State Univ Sci & Technol, Krasnoyarsky Rabochy Av 31, Krasnoyarsk 660037, Russia.
RAS, SB, Inst Computat Modeling, Academgorodok Str 50, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Ivanova, Ulyana S.; Taseiko, Olga V.; Chernykh, Dania A.; Lepov, V.V. \ed.\; Rousakis, T... \ed.\; Samuel, B.M. \ed.\; Russian Foundation for Basic Research, Government of Krasnoyarsk Territory, Krasnoyarsk Regional Fund of Science [18-47-240006]