Библиотека института биофизики СО РАН

Главная

Базы данных

Труды сотрудников ИБФ СО РАН - результаты поиска

Вид поиска

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

Труды сотрудников ИБФ СО РАН

Область поиска

Найдено в других БД:

Каталог книг и продолжающихся изданий библиотеки Института биофизики СО РАН (2)

Формат представления найденных документов:
полный	информационный	краткий

Отсортировать найденные документы по:
автору	заглавию	году издания	типу документа

Поисковый запрос: (<.>K=Satellites<.>)

Общее количество найденных документов : 11
Показаны документы с 1 по 11

Ocean processes revealing by seasonal dynamics of surface chlorophyll concentration (by satellite data) / A. Shevyrnogov, G. Vysotskaya // Proceedings of SPIE - The International Society for Optical Engineering. - 2011. - Vol. 8175: Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011 (21 September 2011 through 22 September 2011, Prague) Conference code: 87287. - Ст. 1, DOI 10.1117/12.897819
Кл.слова (ненормированные):
Chlorophyll concentration -- MODIS -- Ocean -- Sea surface temperature -- SeaWiFs -- Chlorophyll concentration -- MODIS -- Ocean -- Sea surface temperatures -- SeaWiFs -- Atmospheric temperature -- Band structure -- Chlorophyll -- Dynamics -- Ecology -- Hydrophilicity -- Productivity -- Remote sensing -- Satellites -- Sea ice -- Space optics -- Spatial distribution -- Surface properties -- Time series -- Time series analysis -- Oceanography
Аннотация: Continuous monitoring of phytopigment concentrations and sea surface temperature in the ocean by space-borne methods makes possible to estimate ecological condition of biocenoses in critical areas. In the papers of the authors (Shevyrnogov A.P., Vysotskaya G.S., Gitelzon J.I. 1996) existence of zones, which are quasi-stationary with similar seasonal dynamics of chlorophyll concentration at surface layer of ocean, was shown. Results were obtained on the base of processing of time series of satellite images SeaWiFS. It was shown that fronts and frontal zones coincide with dividing lines between quasi-stationary areas, especially in areas of large oceanic streams. The usage of the seasonal dynamics gives a possibility to circumvent influence of high-frequency component in investigation of dynamics of spatial distribution of surface streams. In addition, an analyses of unstable ocean productivity phenomena, stood out time series of satellite images, showed existence of areas with different types of instability in the all Global ocean. They are observed as adjacent nonstationary zones of different size, which are associated by different ways with known oceanic phenomena. It is evident that dynamics of a spatial distribution of biological productivity and sea surface temperature can give an additional knowledge of complicated picture of surface oceanic layer hydrology. В© 2011 SPIE.

Scopus
Держатели документа:
Institute of Biophysics of SB RAS, Akademgorodok, 660036, Krasnoyarsk, Russian Federation
Institute of Computational Modeling of SB RAS, Akademgorodok, 660036, Krasnoyarsk, Russian Federation
Siberian Federal University, Kyrensky st., 26, Krasnoyarsk, 660074, Russian Federation : 660036, Красноярск, Академгородок, д. 50, стр. 50

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

Найти похожие

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.

Найти похожие

Results of analysis of spatial and temporal long-term stability of quasistationary areas in the Atlantic Ocean based on multi-satellite measurements (CZCS and SeaWiFS data) / A. Shevyrnogov, G. Vysotskaya, E. Shevyrnogov // Advances in Space Research. - 2004. - Vol. 33, Is. 7. - P1184-1188, DOI 10.1016/S0273-1177(03)00366-1 . - ISSN 0273-1177
Кл.слова (ненормированные):
Chlorophyll -- Hydrological structure -- Seasonal dynamics -- Space-based data -- Chlorophyll -- Data reduction -- Hydrology -- Oceanography -- Satellites -- Quasistationary -- Spatial distribution -- Space research -- chlorophyll -- CZCS -- oceanic circulation -- remote sensing -- SeaWiFS -- spatiotemporal analysis -- Atlantic Ocean
Аннотация: The paper analyzes the stability of areas in the Global Ocean, which are quasistationary with respect to the seasonal dynamics of chlorophyll concentration. Such areas were first discovered based on the CZCS data. They occur almost in all regions of the Global Ocean. They reflect typical seasonal dynamics of phytoplankton, which depends on both large ocean currents and local hydrological instability. It is related to the displacement of frontal zones and to local hydrological anomalies. Since the completion of the CZCS work there has been a 10 years gap in monitoring chlorophyll spatial distribution dynamics in the ocean. The reason is the long absence of equipment on the orbit, which would be suitable for the measurement of chlorophyll concentration. Recently, SeaWiFS data have been accumulated and their quantity is sufficient for the crude statistical analysis of image time series for 25 years. Thus, it has become possible to obtain data on the long-term stability of quasistationary areas and, therefore, on the stability of large-scale hydrological phenomena in the Atlantic Ocean. В© 2003 COSPAR. Published by Elsevier Ltd. All rights reserved.

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

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

Найти похожие

Trends of chlorophyll concentration in the surface layer of the Northern and Central Atlantic, a satellite data-based study / A. Shevyrnogov, G. Vysotskaya, E. Shevyrnogov // Advances in Space Research. - 2002. - Vol. 30, Is. 11. - P2535-2540, DOI 10.1016/S0273-1177(02)80332-5 . - ISSN 0273-1177
Кл.слова (ненормированные):
Chlorophyll -- Climatology -- Data reduction -- Ocean engineering -- Satellites -- Surface properties -- Chlorophyll concentration -- Space research -- chlorophyll -- pigment -- remote sensing -- seasonality -- surface water -- Atlantic Ocean
Аннотация: The new data on anomalies in seasonal dynamics of chlorophyll concentration in the ocean have altered the approach to the analysis of long-term trends of phytopigments in the surface layer of the ocean. Zones have been found in which at various times there was a many-fold increase in chlorophyll concentration versus its usual level. These changes are local in time and space. If anomalies in the long-term tendencies in the change of phytopigment surface distribution in the ocean are ignored in the analysis, the resulting picture will inadequately reflect the real processes. The work presents the results of the analysis of long-term trends of chlorophyll concentration on the basis of the CZCS satellite data in the Atlantic Ocean. The results are given as maps representing different variants of trends. The data obtained can be used to analyze the consequences of long-term changes of climate and changes in the interaction between the atmosphere and the ocean. В©2002 COSPAR. Published by Elsevier Science Ltd. All rights reserved.

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

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

Найти похожие

The Information Content of Spectral Vegetation Indices in the Interpretation of Satellite Images of Cultivated Fields / T. I. Pisman [et al.] // Biophysics. - 2019. - Vol. 64, Is. 4. - P588-592, DOI 10.1134/S0006350919040158 . - ISSN 0006-3509
Кл.слова (ненормированные):
bare fallows -- Keywords: sod fields -- NDSI -- NDVI -- Sentinel-2
Аннотация: Abstract—The results of satellite monitoring of vegetation on unused agricultural lands during the growing season of 2018 are presented. Sod fields of different ages (2, 7, and 20 years) and bare fallows on the land used by the Krasnoyarsk Research Institute of Agriculture were the objects of the study. Satellite data with high spatial resolution (Sentinel-2 Earth remote sensing satellites) at the pre-processing Level-1C (https://earthexplorer.usgs.gov/) were used for the interpretation of sod field and fallow images. These data were used to calculate the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Soil Index (NDSI). Algorithms and software for the processing of Sentinel-2 satellite data were developed. The possibility of using NDVI dynamics for assessment and monitoring of the condition of sod fields and bare fallows has been demonstrated. The applicability of the NDSI soil index for assessment of the status of arable land has been demonstrated. © 2019, Pleiades Publishing, Inc.

Scopus,
Смотреть статью
Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Akademgorodok, 50/50, Krasnoyarsk, 660036, Russian Federation
Agricultural Research Institute, Svobodnyi pr., 66, Krasnoyarsk, 660041, Russian Federation

Доп.точки доступа:
Pisman, T. I.; Shevyrnogov, A. P.; Larko, A. A.; Botvich, I. Y.; Emelyanov, D. V.; Shpedt, A. A.; Trubnikov, Y. N.

Найти похожие

Time-space earth surface gradients for satellite monitoring of ecosystems / A. V. Kartushinsky, N. A. Ogorodov, A. A. Larko // 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. - P366-370
Кл.слова (ненормированные):
Average seasonal variability -- Ecotone -- Frontal zones -- Gradient fields -- Regional features -- Satellite data -- Spatial averaging -- Synergistic effect -- Aquatic ecosystems -- Data handling -- Earth (planet) -- Satellites -- Ecotone -- Frontal zones -- Gradient fields -- Regional feature -- Satellite data -- Seasonal variability -- Spatial averaging -- Synergistic effect -- Monitoring
Аннотация: The results of Earth surface gradients characteristics calculate based on satellite data are presents. Dynamics structural features of horizontal gradient fields in aquatic objects and land ecosystems by physical, biological parameters are considered. Problems of the parametrization for environment exchanges evaluations with using numerical modeling based on satellite data and software tools are submitted. Spatial-temporal scaling and averaging of gradient components are discussed. Develop improved estimates of Earth surface gradients fields in the different ecosystems is considered. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Scopus
Держатели документа:
Institute of Biophysics SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
Federal Research Center KSC SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Kartushinsky, A. V.; Ogorodov, N. A.; Larko, A. A.

Найти похожие

Information technology of satellite data processing for global ocean surface gradient characteristics calculation / N. A. Ogorodov, A. V. Kartushinsky // 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. - P434-439
Кл.слова (ненормированные):
Format conversion -- Frontal zones -- Global data -- Gradientfields -- Mean seasonal variability -- Regional features -- Spatial averaging -- Computer software -- Monitoring -- Oceanography -- Satellites -- Format conversion -- Frontal zones -- Global data -- Gradientfields -- Regional feature -- Seasonal variability -- Spatial averaging -- Data handling
Аннотация: The structural components of information technology and software tools for calculating gradient characteristics of the global ocean surface based on satellite data are considered. The examples of calculation of the global ocean surface gradient fieldsusing information technology and software tools based on satellite data are submitted. A spatial-temporal averaging of gradients in accordance with scales of hydrophysical processes is discussed. The problems of spatial-temporal scaling and averaging of computed regions of the global ocean are considered. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Scopus
Держатели документа:
Federal Research Center KSC SB RAS, Krasnoyarsk, Russian Federation
Institute of Biophysics SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Ogorodov, N. A.; Kartushinsky, A. V.

Найти похожие

Usage of different neural networks in identification of plant types / S. Bartsev, Y. Ivanova, M. Saltykov // IOP Conference Series: Materials Science and Engineering : Institute of Physics Publishing, 2020. - Vol. 734: 2nd International Scientific Conference on Advanced Technologies in Aerospace, Mechanical and Automation Engineering, MIST: Aerospace 2019 (18 November 2019 through 21 November 2019, ) Conference code: 157461, Is. 1. - Ст. 012097, DOI 10.1088/1757-899X/734/1/012097
Аннотация: Since introduction of neural networks into remote sensing they demonstrate good efficiency in remote sensing data analysis. This work is devoted to processing of multispectral (12 bands) images from Sentinel-2(A, B) satellites. Satellite images of areas in Krasnoyarsk Region and Khakassia with known vegetation types are used as task books to train neural networks. Trained neural networks have been reduced to determine which bands are significant for vegetation type identification. Reduction of trained neural network show that vegetation type can be determined from only four infrared bands without significant loses in performance in comparison with non-reduced neural network. © Published under licence by IOP Publishing Ltd.

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

Доп.точки доступа:
Bartsev, S.; Ivanova, Y.; Saltykov, M.

Найти похожие

Modeling the radial stem growth of the pine (Pinus sylvestris l.) forests using the satellite-derived ndvi and lst (modis/aqua) data / Y. Ivanova, A. Kovalev, V. Soukhovolsky // Atmosphere. - 2021. - Vol. 12, Is. 1. - Ст. 12. - P1-15, DOI 10.3390/atmos12010012 . - ISSN 2073-4433
Кл.слова (ненормированные):
Boreal forests -- Field measurements -- Modeling studies of forest -- Remote sensing data analysis -- Tree and forest functioning -- Tree ring width -- Land surface temperature -- Radiometers -- Satellites -- Time series analysis -- Developed model -- Growing season -- Measurements of -- Normalized difference vegetation index -- Parabolic approximation -- Pinus sylvestris -- Principal Components -- Tree-ring width -- Forestry -- Aqua (satellite) -- boreal forest -- coniferous tree -- growth rate -- land surface -- modeling -- MODIS -- NDVI -- phytomass -- principal component analysis -- remote sensing -- satellite data -- surface temperature -- tree ring -- Pinus sylvestris
Аннотация: The paper considers a new approach to modeling the relationship between the increase in woody phytomass in the pine forest and satellite-derived Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) (MODIS/AQUA) data. The developed model combines the phenological and forest growth processes. For the analysis, NDVI and LST (MODIS) satellite data were used together with the measurements of tree-ring widths (TRW). NDVI data contain features of each growing season. The models include parameters of parabolic approximation of NDVI and LST time series transformed using principal component analysis. The study shows that the current rate of TRW is determined by the total values of principal components of the satellite indices over the season and the rate of tree increment in the preceding year. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Scopus
Держатели документа:
Institute of Biophysics SB RAS, Federal Research Center “Krasnoyarsk Science Center SB RAS”, Krasnoyarsk, 660036, Russian Federation
Federal Research Center “Krasnoyarsk Science Center SB RAS”, Krasnoyarsk, 660036, Russian Federation
Sukachev Institute of Forest SB RAS, Federal Research Center “Krasnoyarsk Science Center SB RAS”, Krasnoyarsk, 660036, Russian Federation

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

Найти похожие

10.

A study of seasonal dynamics of herbaceous plant communities in Khakassia using ground-based and satellite data / A. P. Shevyrnogov, N. A. Kononova, A. I. Volkova [et al.] // IOP Conference Series: Earth and Environmental Science : IOP Publishing Ltd, 2021. - Vol. 677: 4th International Scientific Conference on Agribusiness, Environmental Engineering and Biotechnologies, AGRITECH-IV 2020 (18 November 2020 through 20 November 2020, ) Conference code: 167873, Is. 2. - Ст. 022072, DOI 10.1088/1755-1315/677/2/022072
Кл.слова (ненормированные):
Biotechnology -- Productivity -- Surface waters -- Vegetation -- Grass canopies -- Herbaceous plants -- Land surface water index -- Normalized difference vegetation index -- Satellite data -- Seasonal dynamics -- Species composition -- Steppe vegetation -- Satellites
Аннотация: The present study addresses the seasonal dynamics of productivity and species composition of the meadow and steppe vegetation communities in Khakassia, determined using the ground-based and satellite data of 2017. The MODIS/Terra satellite data were used to analyze the Normalized Difference Vegetation Index (NDVI) and the Land Surface Water Index (LSWI). The NDVI and LSWI were found to be related to the productivity of the meadow and steppe vegetation. The NDVI increased as the portion of the mesophyte grasses in the grass canopy became larger. The LSWI was higher in the steppe communities, which had lower projective coverage, with spots of bare soil, than in the meadow communities, with their abundant vegetation. © Published under licence by IOP Publishing Ltd.

Scopus
Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, 50/50 Akademgorodok, Krasnoyarsk, 660036, Russian Federation
Katanov Khakass State University, 90 Lenina, Abakan, 655017, Russian Federation

Доп.точки доступа:
Shevyrnogov, A. P.; Kononova, N. A.; Volkova, A. I.; Botvich, I. Y.; Pisman, T. I.

Найти похожие

11.

Information Content of Spectral Vegetation Indices for Assessing the Weed Infestation of Crops Using Ground-Based and Satellite Data / T. I. Pisman, M. G. Erunova, I. Y. Botvich [et al.] // Izv. Atmos. Ocean. Phys. - 2021. - Vol. 57, Is. 9. - P1188-1197, DOI 10.1134/S0001433821090577. - Cited References:32 . - ISSN 0001-4338. - ISSN 1555-628X

РУБ Meteorology & Atmospheric Sciences + Oceanography
Рубрики:
DIFFERENTIATION
REFLECTANCE
Кл.слова (ненормированные):
vegetation indices -- PlanetScope -- ground-based spectrometry -- geobotanical -- studies -- wheat crops -- Krasnoyarsk krai
Аннотация: This paper presents the results of a study assessing the degree of weed infestation of wheat crops. They are obtained using optical ground-based and satellite spectral data with a 3-m spatial resolution from PlanetScope Dove satellites for 2019. The vegetation indices, including the normalized difference vegetation index (NDVI), the relative chlorophyll index (Chlorophyll Index Green-ClGreen or GCI), the modified soil-adjusted vegetation index (MSAVI2), and the visible atmospherically resistant index (VARI) are used in the interpretation of ground-based spectrometric and space images. This paper indicates the possibility of assessing the degree of weed infestation of agricultural fields. The higher the weed infestation, the lower the index values. The dynamics of VARI is found to be different from the dynamics of NDVI, ClGreen, and MSAVI2 during the growing season. The strong correlation between NDVI, ClGreen, and MSAVI2 and the weak correlation between VARI and other indices are observed. The possibility of identifying weedy sites in the agricultural fields is shown using the spatial distribution map of ClGreen dated August 2, 2019.

WOS
Держатели документа:
Russian Acad Sci, Inst Biophys, Siberian Branch, Krasnoyarsk, Russia.
Russian Acad Sci, Fed Res Ctr, Siberian Branch, Krasnoyarsk Sci Ctr, Krasnoyarsk, Russia.
Russian Acad Sci, Fed Res Ctr, Krasnoyarsk Sci Res Inst Agr, Siberian Branch,Krasnoyarsk Sci Ctr, Krasnoyarsk, Russia.

Доп.точки доступа:
Pisman, T., I; Erunova, M. G.; Botvich, I. Yu; Emelyanov, D., V; Kononova, N. A.; Bobrovsky, A., V; Kryuchkov, A. A.; Shpedt, A. A.; Shevyrnogov, A. P.

Найти похожие

Тематический навигатор

Другие библиотеки

Библиотека института физики

Центральная научная библиотека КНЦ СО РАН

Библиотека института химии и химический технологии

Библиотека института вычислительного моделирования

Библиотека института леса

Библиотека СФУ

Краевая научная библиотека

© Международная Ассоциация пользователей и разработчиков электронных библиотек и новых информационных технологий
(Ассоциация ЭБНИТ)