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Каталог книг и продолжающихся изданий библиотеки Института биофизики СО РАН
Иностранные журналы библиотеки Института биофизики СО РАН
Отечественные журналы библиотеки Института биофизики СО РАН
Каталог диссертаций ИБФ СО РАН
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1.


   
    Application of satellite data for investigation of dynamic processes in inland water bodies: Lake Shira (Khakasia, Siberia), a case study / A. P. Shevyrnogov, A. V. Kartushinsky, G. S. Vysotskaya // Aquatic Ecology. - 2002. - Vol. 36, Is. 2. - P153-163, DOI 10.1023/A:1015658927683 . - ISSN 1386-2588
Кл.слова (ненормированные):
Modelling -- Phytopigments -- Satellite data -- Satellite equipment -- Software -- Temperature -- AVHRR -- hydrodynamics -- lake -- limnology -- remote sensing -- saline lake -- satellite data -- water temperature -- Russian Federation
Аннотация: This work describes avenues to use satellite information to analyse dynamic processes in aquatic ecosystems. Information for this analysis, was retrieved from AVHRR satellite sensor data. This information consisteds of time series of images of radiation temperature and turbidity. We expect this information will be of great value in analysing inland water bodies. Methods to process satellite information using original software and data processing techniques are proposed. For the investigation of the process and analyses of satellite information Shira Lake (Khakasia, Siberia) was used as a case study. To study the variability of the surface temperature and turbidity of the Lake in summer, the satellite and ground-truth data of the lake was applied. This study represents the first evaluation of the dynamic processes for Lake Shira based on satellite, ground-truth and modelling data. We developed algorithms and software to process satellite images to enable the reconstruction of time dependence of temperature and spectral reflectance of water bodies in the visible range, and to make computer-animated films visualising the spatial and temporal dynamics of the study parameters. The analyses of morphometric, meteorological and hydrological characteristics of Lake Shira have provided a realistic opportunity for processing the satellite information and to develop numerical models of variability of the hydrological regime of the lake. The results obtained demonstrate the feasibility of systematically retrieving the spatial information from the satellite data on the dynamics of the surface water temperature and of the suspended matter in the lake.

Scopus
Держатели документа:
Institute of Biophysics of SB RAS, Akademgorodok, Krasnoyarsk 660036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Shevyrnogov, A.P.; Kartushinsky, A.V.; Vysotskaya, G.S.

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2.


   
    Spatial and temporal anomalies of sea surface temperature in global scale (by space-based data) / A. Shevyrnogov, G. Vysotskaya, E. Shevyrnogov // Advances in Space Research. - 2004. - Vol. 33, Is. 7. - P1179-1183, DOI 10.1016/S0273-1177(03)00369-7 . - ISSN 0273-1177
Кл.слова (ненормированные):
Anomalies -- Chlorophyll -- Hydrological structure -- Space-based data -- Temperature -- Chlorophyll -- Data reduction -- Oceanography -- Satellites -- Surface properties -- Temperature measurement -- Satellite images -- Spatial distribution -- Space research -- AVHRR -- chlorophyll -- remote sensing -- satellite imagery -- sea surface temperature
Аннотация: The work presents the data on the spatial distribution of temperature anomalies in the Global Ocean, based on the long-term measurements with the AVHRR satellite equipment. It is noteworthy that such results can be only obtained by using long time series of satellite images. To obtain them by ship-borne methods is actually impossible. The proposed anomaly criterion is equal to a difference between minimum/maximum and average temperature, normed for the mean square deviation. The difference is calculated from the whole time series (with regard to a season). Based on this criterion, anomalies can be distinguished on the background of usual seasonal dynamics at various absolute values of deviations of the measured parameter. Besides, rare, single, fluctuations can be also revealed. Based on the proposed criterion, connected zones have been defined. These zones occur almost in every part of the Global Ocean. The data obtained have been analyzed in association with the CZCS (1978-1986) and SeaWiFS satellite images in order to compare them with the areas of anomalous dynamics of chlorophyll concentration and the regions quasistationary in the seasonal dynamics of chlorophyll. Anomalies in the temperature dynamics are of exceptional importance for the formation of climatic deviations; they affect the ocean-atmosphere interaction and reflect variations in the hydrological structure of the surface waters. The work presents a comparison with the dynamics of chlorophyll concentration distribution determined from the SeaWiFS data for the Atlantic Ocean. В© 2003 COSPAR. Published by Elsevier Ltd. All rights reserved.

Scopus
Держатели документа:
Institute of Biophysics of SB RAS, Krasnoyarsk, Akademgorodok 660036, Russian Federation
Inst Comp Modeling of SB RAS, Krasnoyarsk, Akademgorodok 660036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Shevyrnogov, A.; Vysotskaya, G.; Shevyrnogov, E.

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3.


   
    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. - P1169-1172, 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.

Scopus
Держатели документа:
Inst. of Biophys. of Russ. A., Siberian Branch, 660036, Krasnoyarsk, Russian Federation
Inst. of Compl. Modeling of Russ. A., Siberian Branch (SB RAS), 660036, Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

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

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4.


   
    Multi-satellite data merge to combine NOAA AVHRR efficiency with landsat-6 MSS spatial resolution to study vegetation dynamics / A. Shevyrnogov, P. Trefois, G. Vysotskaya // Advances in Space Research. - 2000. - Vol. 26, Is. 7. - P1131-1133, DOI 10.1016/S0273-1177(99)01130-8 . - ISSN 0273-1177
Кл.слова (ненормированные):
AVHRR -- Landsat multispectral scanner -- NOAA satellite -- satellite data -- spatial resolution -- vegetation dynamics
Аннотация: Spectral range and good replication provided by NOAA AVHRR data make possible to study evolution of vegetation cover and temperature in time. However, the spatial resolution even of 1000 m does not allow accurate location of the changes. The new developed NOAA NDVI image provides better apparent spatial resolution by the following procedure: - resample the NOAA image to 100 m pixel size; - georeference both NOAA and MSS (Landsat-6) to common UTM coordinates; - extract the brightness component from MSS (using the first principal component); - merge NOAA NDVI and MSS brightness images. The resulting image features the color of NOAA NDVI and topographic details of MSS intensity. This work offers relevant techniques to extract information from satellite imagery to apply to plant dynamics investigation. (C) 2000 COSPAR. Published by Elsevier Science Ltd.

Scopus
Держатели документа:
Institute of Biophysics of SB RAS, 660036, Krasnoyarsk, Russian Federation
Royal Museum of Central Africa, Brussels, Belgium
Inst. of Compl. Modelling SB RAS, 660036, Krasnoyarsk, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Shevyrnogov, A.; Trefois, P.; Vysotskaya, G.

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5.


   
    Investigations of the Krasnoyarsk Reservoir waters based on the multispectral satellite data [Text] / M. . Chernetskiy [et al.] // Adv. Space Res. - 2009. - Vol. 43, Is. 2. - P206-213, DOI 10.1016/j.asr.2008.04.002. - Cited References: 24 . - 8. - ISSN 0273-1177
РУБ Astronomy & Astrophysics + Geosciences, Multidisciplinary + Meteorology & Atmospheric Sciences
Рубрики:
CHLOROPHYLL CONCENTRATION
Кл.слова (ненормированные):
MODIS -- AVHRR -- Classification -- Continental water bodies -- Spectral variability -- Phytoplankton -- Krasnoyarsk Reservoir
Аннотация: In this work historical investigations and modern results of classification of the Krasnoyarsk Reservoir are presented. The paper presents results of studying the dynamics of phytopigments and other optically active components, using multispectral satellite data. Several approaches to interpreting satellite data for optically complex inland water bodies are offered. Based on results of historical investigations it is shown that the spatial distribution of phytoplankton in the reservoir stems back to the time of its formation. Color index in the red spectral region (CIR) is introduced. A relationship between the color index and chlorophyll concentration is investigated. The CIR, derived from the AVHRR data, has been found to be related to chlorophyll concentration. Based on MODIS data, the waters of the Krasnoyarsk Reservoir have been classified in accordance with their optical spectral variability, using the technique of unsupervised Iso-Data classification. An empirical relationship between multispectral MODIS data and the ground-truth measurements of chlorophyll concentration has been found. (C) 2008 COSPAR. Published by Elsevier Ltd. All rights reserved.

Держатели документа:
[Chernetskiy, M.
Shevyrnogov, A.
Shevnina, S.
Sidko, A.] SB RAS, Inst Biophys, Krasnoyarsk 660036, Akademgorodok, Russia
[Vysotskaya, G.] SB RAS, Inst Computat Modeling, Krasnoyarsk 660036, Akademgorodok, Russia : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Chernetskiy, M...; Shevyrnogov, A...; Shevnina, S...; Vysotskaya, G...; Sidko, A...

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6.


   
    Analysis of the variability of temperature gradient in the ocean frontal zones based on satellite data / A. V. Kartushinsky, A. Y. Sidorenko // Advances in Space Research. - 2013, DOI 10.1016/j.asr.2013.07.023 . - ISSN 0273-1177
Кл.слова (ненормированные):
Frontal zones -- North Atlantic oscillation -- Sea surface temperature gradients -- South oscillation - El Ninjo -- Thermohaline circulation -- Variability of gradients
Аннотация: AVHRR MCSST data for the periods 1982-2000 (mean weekly data) were used to calculate mean gradient fields in the ocean for different periods of time. Three-month averaged sea surface temperature gradients (SSTG) and their mean seasonal variations have been studied for 25 points in the large-scale oceanic fronts zones. Major oceanic fronts in the Atlantic and Pacific have been identified and compared in literature. In the North Atlantic and Pacific, the areas under study were the North Polar Front and Subpolar Fronts. In the South Atlantic and Pacific we studied the region of the Antarctic Circumpolar Current (ACC) and the fronts formed by this current, known as the South Polar Front, and the Subantarctic Front. SSTG were also calculated for El Nino (Southeast Pacific) and Benguela Current (Southeast Atlantic). In warm periods seasonal SSTG in the North Atlantic markedly increased and exhibit some interannual cycles. The correlation between the North Atlantic Oscillation index and seasonal SSTG for a single point in the Gulf Stream zone can be the key point for evaluation of heat transfer by the currents to the coast of East Europe. In the Southern Atlantic, the SSTG values are low during the cold period (summer in the southern hemisphere) in the ACC zone and increase in the warm season (winter in the southern hemisphere). It also exhibits interannual cycles. In the Northwest Pacific for some points in the Subpolar Front the SSTG values are high in the cold period (winter). Here at seven points in the spring of 1993 and 2000 the calculations disclosed significant increase of the gradient. In these years, the anomalous SSTG in Subpolar Front and South Polar Front were found to vary synchronously in both hemispheres, with maximum intensity in spring (North Pacific) and in summer (South Pacific). Mean annual SSTG in the El Nino zone and south oscillation index have been found to exhibit some correlation. Major jet currents periodically form high-gradient temperature fields and from the temperature satellite data we can derive information about variation in the large-scale fronts in the Global Ocean. В© 2013 COSPAR.

Scopus
Держатели документа:
Siberian Federal University, 79 Svobodny, Krasnoyarsk 660041, Russia
Institute of Biophysics, Russian Academy of Sciences, Siberian Branch, Akademgorodok, Krasnoyarsk 660036, Russia : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Kartushinsky, A.V.; Sidorenko, A.Y.

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7.


   
    Time-space structure and variability of surface temperature frontal zones in the ocean (based on AVHRR satellite data) / A. V. Kartushinsky // Advances in Space Research. - 2000. - Vol. 25, Is. 5. - P1107-1110, DOI 10.1016/S0273-1177(99)00871-6 . - ISSN 0273-1177
Кл.слова (ненормированные):
AVHRR -- frontal feature -- global ocean -- sea surface temperature -- spatiotemporal analysis
Аннотация: Satellite monitoring of large-scale ocean fields allows collection and analyse of information on dynamics processes in various areas of the ocean. Investigation of the World Ocean processes involves the determination of space-time changes of sea surface temperature (SST). Water temperature of the ocean is one of major characteristics of surface water masses. Distribution of water temperature depends not only on regional climate peculiarities but also on formation of high gradient temperature zones. These zones emerge due to interaction of different current structure, circulation and eddies. Some more important characteristics of such zones are space dimensions and time of existence (lifetime). Space-time scales of the above structure have not been investigated in detail. The aim of the paper is to study space-time changes of the surface temperature frontal zones and frontal partitions in the ocean by AVHRR satellite information.

Scopus
Держатели документа:
Institute of Biophysics (Russian Academy of Sciences, Siberian Branch), Academgorodok, Krasnoyarsk, 660036, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Kartushinsky, A.V.

Найти похожие
8.


   
    The investigation on the dynamics of frontal zones in the ocean based on the numerical modelling, using the AVHRR satellite data [Text] / A. V. Kartushinsky ; ed. P Schlussel [et al.] // CLIMATE CHANGE PROCESSES IN THE STRATOSPHERE, EARTH-ATMOSPHERE-OCEAN SYSTEMS, AND OCEANOGRAPHIC PROCESSES FROM SATELLITE DATA. Ser. ADVANCES IN SPACE RESEARCH : PERGAMON-ELSEVIER SCIENCE LTD, 2004. - Vol. 33: 2nd World Space Congress/34th COSPAR Scientific Assembly (OCT 10-19, 2002, HOUSTON, TX), Is. 7. - P1173-1178, DOI 10.1016/S0273-1177(03)00370-3. - Cited References: 19 . - 6. - ISBN 0273-1177
РУБ Engineering, Aerospace + Astronomy & Astrophysics + Environmental Sciences + Geosciences, Multidisciplinary + Meteorology & Atmospheric Sciences + Remote Sensing
Рубрики:
VARIABILITY
Кл.слова (ненормированные):
frontal temperature zones -- model -- numerical experiments -- current velocity -- turbulent diffusion -- heat flow
Аннотация: The main purpose of the work is to investigate the frontal temperature zones using the mathematical model of the oceanic temperature field. The forecast of the frontal temperature zone variability is based on satellite data. The model calculates the temperature under different starting conditions and allows for the mean monthly intensity of solar radiation, components of current velocities, and turbulent diffusion. The input data are the mean monthly current velocities and the radiation heat flows. The model is used to calculate the dynamics of the frontal temperature zones in separate parts of the ocean. Based on the results of numerical experiments presented in the paper we estimated the spatial and temporal ranges of the frontal zone variation affected by the advection of currents, horizontal turbulent heat exchange, and the radiation heat flow in separate parts of the ocean. As examples we consider the basic frontal zones in the Atlantic and the Pacific Oceans. The work also shows possible applications of parametrization of spatial horizontal components of the frontal zones functionally related to the processes of heat advection and diffusion in the absence of exact information about the magnitudes of the current velocities and turbulent mixing. (C) 2003 COSPAR. Published by Elsevier Ltd. All rights reserved.

Держатели документа:
Krasnoyarsk State Univ, Inst Biophys, Russian Acad Sci, Krasnoyarsk 660036, Russia : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Kartushinsky, A.V.; Schlussel, P \ed.\; Stuhlmann, R \ed.\; Campbell, JW \ed.\

Найти похожие
9.


   
    Multi-satellite data merge to combine NOAA AVHRR efficiency with Landsat-6 MSS spatial resolution to study vegetation dynamics [Text] / A. . Shevyrnogov, P. . Trefois, G. . Vysotskaya ; ed. , P Trefo // REMOTE SENSING FOR LAND SURFACE CHARACTERISATION. Ser. ADVANCES IN SPACE RESEARCH : PERGAMON PRESS LTD, 2000. - Vol. 26: A3 1 and A3 2 Symposia of COSPAR Scientific Commission A held at the 32nd COSPAR Scientific Assembly (JUL 12-19, 1998, NAGOYA, JAPAN), Is. 7. - P. 1131-1133, DOI 10.1016/S0273-1177(99)01130-8. - Cited References: 2 . - ISBN 0273-1177
РУБ Engineering, Aerospace + Remote Sensing

Аннотация: Spectral range and good replication provided by NOAA AVHRR data make possible to study evolution of vegetation cover and temperature in time. However, the spatial resolution even of 1000 m does not allow accurate location of the changes. The new developed NOAA NDVI image provides better apparent spatial resolution by the following procedure: - resample the NOAA image to 100 m pixel size; - georeference both NOAA and MSS (Landsat-6) to common UTM coordinates; - extract the brightness component from MSS (using the first principal component); - merge NOAA. NDVI and MSS brightness images. The resulting image features the color of NOAA NDVI and topographic details of MSS intensity. This work offers relevant techniques to extract information from satellite imagery to apply to plant dynamics investigation. (C) 2000 COSPAR. Published by Elsevier Science Ltd.

WOS
Держатели документа:
RAS, SB, Inst Biophys, Krasnoyarsk 660036, Russia
Royal Museum Cent Africa, Brussels, Belgium
RAS, SB, Inst Computat Modelling, Krasnoyarsk 660036, Russia
ИБФ СО РАН
ИВМ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Shevyrnogov, A...; Trefois, P...; Vysotskaya, G...; Trefo, , P \ed.\

Найти похожие
10.


   
    The investigation on the dynamics of frontal zones in the ocean based on the numerical modelling, using the AVHRR satellite data [Text] / A. V. Kartushinsky ; ed. P Schlussel [et al.] // CLIMATE CHANGE PROCESSES IN THE STRATOSPHERE, EARTH-ATMOSPHERE-OCEAN SYSTEMS, AND OCEANOGRAPHIC PROCESSES FROM SATELLITE DATA. Ser. ADVANCES IN SPACE RESEARCH : PERGAMON-ELSEVIER SCIENCE LTD, 2004. - Vol. 33: 2nd World Space Congress/34th COSPAR Scientific Assembly (OCT 10-19, 2002, HOUSTON, TX), Is. 7. - P. 1173-1178, DOI 10.1016/S0273-1177(03)00370-3. - Cited References: 19 . - ISBN 0273-1177
РУБ Engineering, Aerospace + Astronomy & Astrophysics + Environmental Sciences + Geosciences, Multidisciplinary + Meteorology & Atmospheric Sciences + Remote Sensing
Рубрики:
VARIABILITY
Кл.слова (ненормированные):
frontal temperature zones -- model -- numerical experiments -- current velocity -- turbulent diffusion -- heat flow
Аннотация: The main purpose of the work is to investigate the frontal temperature zones using the mathematical model of the oceanic temperature field. The forecast of the frontal temperature zone variability is based on satellite data. The model calculates the temperature under different starting conditions and allows for the mean monthly intensity of solar radiation, components of current velocities, and turbulent diffusion. The input data are the mean monthly current velocities and the radiation heat flows. The model is used to calculate the dynamics of the frontal temperature zones in separate parts of the ocean. Based on the results of numerical experiments presented in the paper we estimated the spatial and temporal ranges of the frontal zone variation affected by the advection of currents, horizontal turbulent heat exchange, and the radiation heat flow in separate parts of the ocean. As examples we consider the basic frontal zones in the Atlantic and the Pacific Oceans. The work also shows possible applications of parametrization of spatial horizontal components of the frontal zones functionally related to the processes of heat advection and diffusion in the absence of exact information about the magnitudes of the current velocities and turbulent mixing. (C) 2003 COSPAR. Published by Elsevier Ltd. All rights reserved.

WOS
Держатели документа:
Krasnoyarsk State Univ, Inst Biophys, Russian Acad Sci, Krasnoyarsk 660036, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Kartushinsky, A.V.; Schlussel, P \ed.\; Stuhlmann, R \ed.\; Campbell, JW \ed.\

Найти похожие
11.


   
    Spatial and temporal anomalies of sea surface temperature in global scale (by space-based data) [Text] / A. . Shevyrnogov, G. . Vysotskaya, E. . Shevyrnogov ; ed. P Schlussel [et al.] // CLIMATE CHANGE PROCESSES IN THE STRATOSPHERE, EARTH-ATMOSPHERE-OCEAN SYSTEMS, AND OCEANOGRAPHIC PROCESSES FROM SATELLITE DATA. Ser. ADVANCES IN SPACE RESEARCH : PERGAMON-ELSEVIER SCIENCE LTD, 2004. - Vol. 33: 2nd World Space Congress/34th COSPAR Scientific Assembly (OCT 10-19, 2002, HOUSTON, TX), Is. 7. - P. 1179-1183, DOI 10.1016/S0273-1177(03)00369-7. - Cited References: 6 . - ISBN 0273-1177
РУБ Engineering, Aerospace + Astronomy & Astrophysics + Environmental Sciences + Geosciences, Multidisciplinary + Meteorology & Atmospheric Sciences + Remote Sensing

Кл.слова (ненормированные):
temperature -- anomalies -- hydrological structure -- chlorophyll -- space-based data
Аннотация: The work presents the data on the spatial distribution of temperature anomalies in the Global Ocean, based on the long-term measurements with the AVHRR satellite equipment. It is noteworthy that such results can be only obtained by using long time series of satellite images. To obtain them by ship-borne methods is actually impossible. The proposed anomaly criterion is equal to a difference between minimum/maximum and average temperature, normed for the mean square deviation. The difference is calculated from the whole time series (with regard to a season). Based on this criterion, anomalies can be distinguished on the background of usual seasonal dynamics at various absolute values of deviations of the measured parameter. Besides, rare, single, fluctuations can be also revealed. Based on the proposed criterion, connected zones have been defined. These zones occur almost in every part of the Global Ocean. The data obtained have been analyzed in association with the CZCS (1978-1986) and SeaWiFS satellite images in order to compare them with the areas of anomalous dynamics of chlorophyll concentration and the regions quasistationary in the seasonal dynamics of chlorophyll. Anomalies in the temperature dynamics are of exceptional importance for the formation of climatic deviations; they affect the ocean-atmosphere interaction and reflect variations in the hydrological structure of the surface waters. The work presents a comparison with the dynamics of chlorophyll concentration distribution determined from the SeaWiFS data for the Atlantic Ocean. (C) 2003 COSPAR. Published by Elsevier Ltd. All rights reserved.

WOS
Держатели документа:
Russian Acad Sci, Inst Biophys, SB, Krasnoyarsk 660036, Russia
Russian Acad Sci, Inst Computat Modeling, SB, Krasnoyarsk 660036, Russia
ИБФ СО РАН : 660036, Красноярск, Академгородок, д. 50, стр. 50

Доп.точки доступа:
Shevyrnogov, A...; Vysotskaya, G...; Shevyrnogov, E...; Schlussel, P \ed.\; Stuhlmann, R \ed.\; Campbell, JW \ed.\

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