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A remote sensing technique for the assessment of stable interannual dynamical patterns of vegetation / M. Y. Chernetskiy, A. P. Shevyrnogov, N. F. Ovchinnikova // Proceedings of SPIE - The International Society for Optical Engineering. - 2011. - Vol. 8174: Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII (19 September 2011 through 21 September 2011, Prague) Conference code: 87191. - Ст. 1, DOI 10.1117/12.896748
Кл.слова (ненормированные):
EVI -- Forest -- Kernel k-means -- Minimum noise fraction -- MODIS -- NDVI -- Principal component analysis -- Time series -- EVI -- Forest -- Kernel k-means -- Minimum noise fraction -- MODIS -- NDVI -- Principal Components -- Agriculture -- Ecosystems -- Hydrology -- Principal component analysis -- Remote sensing -- Satellite imagery -- Space optics -- Time series -- Vegetation
Аннотация: The time series of various parameters of satellite imagery (NDVI/EVI, temperature) during the growing season were considered in this work. This means that satellite images were considered not like a number of single scenes but like temporal sequences. Using time series enables estimating the integral phenological properties of vegetation. The basis of the developed technique is to use one of the methods of transformation of the multidimensional space in order to get the principal components. The technique is based on considering each dimension of the multidimensional space as satellite imagery for a specific date range. The technique automatically identifies spatial patterns of vegetation that are similar by phenology and growing conditions. Subsequent analysis allowed identification of the belonging of derived classes. Thus, the technique of revealing the spatial distribution of different dynamical vegetation patterns based on the phenological characteristics has been developed. The technique is based on a transformation of the multidimensional space of states of vegetation. Based on the developed technique, areas were obtained with similar interannual trends. В© 2011 SPIE.

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

Доп.точки доступа:
Chernetskiy, M.Y.; Shevyrnogov, A.P.; Ovchinnikova, N.F.

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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.

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A study of forest vegetation dynamics in the south of the Krasnoyarskii Krai in spring / M. Chernetskiy [et al.] // Advances in Space Research. - 2011. - Vol. 48, Is. 5. - P819-825, DOI 10.1016/j.asr.2011.04.032 . - ISSN 0273-1177
Кл.слова (ненормированные):
EVI -- Forestry -- MODIS -- NDVI -- Remote sensing -- Vegetation phenology -- Accurate measurement -- Annual time series -- Carbon exchange -- Data series -- Dynamic state -- Enhanced vegetation index -- EVI -- Forest vegetation -- Global scale -- Growth dynamics -- Interannual variability -- Moderate resolution imaging spectroradiometer -- MODIS -- NDVI -- Normalized difference vegetation index -- Principal components analysis -- Remote sensing applications -- Remote sensing data -- Satellite data -- Spatial structure -- Spring season -- Terrestrial ecosystems -- Vegetation dynamics -- Vegetation phenology -- Biology -- Climate models -- Dynamics -- Ecosystems -- Estimation -- Forestry -- Monitoring -- Principal component analysis -- Radiometers -- Remote sensing -- Satellite imagery -- Timber -- Time series -- User interfaces -- Vegetation -- Carbon -- Ecosystems -- Forests -- Image Analysis -- Plants -- Remote Sensing -- Time Series Analysis
Аннотация: Remote sensing applications have greatly enhanced ability to monitor and manage in the areas of forestry. Accurate measurements of regional and global scale vegetation dynamics (phenology) are required to improve models and understanding of inter-annual variability in terrestrial ecosystem carbon exchange and climate-biosphere interactions. Study of vegetation phenology is required for understanding of variability in ecosystem. In this paper, monitoring of vegetation dynamics using time series of satellite data is presented. Vegetation variability (vegetation rate) in different topoclimatic areas is investigated. Original software using IDL interactive language for processing of satellite long-term data series was developed. To investigate growth dynamics vegetation rate inferred from remote sensing was used. All estimations based on annual time series of Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. Vegetation rate for Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) was calculated using MODIS data. The time series covers spring seasons of each of 9 years, from 2000 to 2008. Comparison of EVI and NDVI derived growth rates has shown that NDVI derived rates reveal spatial structure better. Using long-term data of vegetation rates variance was estimated that helps to reveal areas with anomalous growth rate. Such estimation shows sensitivity degree of different areas to different topoclimatic conditions. Woods of heights depend on spatial topoclimatic variability unlike woods of lowlands. Principal components analysis shows vegetation with different rate conditions. Also it reveals vegetation of same type in areas with different conditions. It was demonstrated that using of methods for estimating the dynamic state of vegetation based on remote sensing data enables successful monitoring of vegetation phenology. В© 2011 COSPAR. Published by Elsevier Ltd. All rights reserved.

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

Доп.точки доступа:
Chernetskiy, M.; Pasko, I.; Shevyrnogov, A.; Slyusar, N.; Khodyayev, A.

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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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The influence of altitudinal zonality on spectral characteristics (MODIS/Terra) mountain forests of Western Sayan / N. Kukoba, Y. Ivanova, I. Botvich // Climate Change Impacts on High-Altitude Ecosystems . - 2015. - P637-643, DOI 10.1007/978-3-319-12859-7_26 . - ISBN 9783319128597 (ISBN); 9783319128580 (ISBN)
Кл.слова (ненормированные):
Mountain forests of Siberia -- Net primary production (NPP) -- Vegetation indices
Аннотация: The purpose of this study is to find a relationship between changes in spectral characteristics (MODIS/Terra) of mountain forests and the altitude at which they grow. In the study area, which is located in the West Sayan Mountains (in South Siberia), the types of forest ecosystems change markedly with altitude. The study uses the data of the MODIS-NPP model intended for the evaluation of global net production. Results of the study show that the best approach to dividing mountain forests into different types is to use 8-day composites of satellite data collected at the beginning of the growing season (April-May). This is the time when the most significant differences are recorded between vegetation indices, including Normalized Difference Vegetation Index (NDVI), LAI, and EVI of the mountain forests growing in different altitudinal zones. © Springer International Publishing Switzerland 2015.

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

Доп.точки доступа:
Kukoba, N.; Ivanova, Y.; Botvich, I.

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Simulation of phenodynamics of deciduous tree species / V. G. Sukhovol’skii [и др.] // Russ. J. For. Sci. - 2017. - Is. 4. - С. 293-302, DOI 10.7868/S0024114817040052 . - ISSN 0024-1148
Кл.слова (ненормированные):
Boreal forests -- Climate -- Phenological models -- Satellite data
Аннотация: Here we show the new approach to analysis of seasonal phenological dynamics of wooded plants. Our model was premised on representation of phenological processes of trees in boreal domain by a process of energy production during the vegetation season and partial release of accumulated energy for survival during resting. We introduced the energy balance equation combining weather and phenological indicators and linking them throughout a year. The model was parameterized using data of phenological studies of birch, aspen, and Siberian larch in Stolby Nature Sanctuary (55°38? - 55°58? N, 92°38? - 93°05? E) during 1951-2012 which allow high accuracy simulation of phenological stages. Coefficients of the equation may be considered as indicators of sensitivity of wooded plants to climate. We show that remotely sensed data on phenological dates may be used in calculations using the model of energy balance. Daily MODIS/Terra images of NDVI (Normalized Difference Vegetation Index) of the studied deciduous forests were used. © 2017, Izdatel'stvo Nauka. All rights reserved.

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Держатели документа:
Forest Institute, Siberian Branch of the Russian Academy of Sciences, Academgorodok 50 bldg. 28, Krasnoyarsk, Russian Federation
Institute of Biophysics, Siberian Branch of the Russian Academy of Sciences, Aсademgorodok 50 bldg. 50, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Sukhovol’skii, V. G.; Ivanova, Y. D.; Ovchinnikova, T. M.; Botvich, I. Y.

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    Assessment of the state of forest vegetation in Krasnoyarsk Territory (Stolby Nature Reserve) according to satellite data / T. I. Pisman, I. Y. Botvich, A. P. Shevyrnogov // Sovrem. Probl. Distancionnogo Zondirovania Zemli kosm. - 2018. - Vol. 15, Is. 5. - С. 169-178, DOI 10.21046/2070-7401-2018-15-5-130-140 . - ISSN 2070-7401
   Перевод заглавия: Оценка состояния лесной растительности красноярского края (заповедник «Столбы») по спутниковым данным
Кл.слова (ненормированные):
Anthropogenic factors -- Climate -- Coniferous and deciduous vegetation -- Modis -- NDVI trends -- Satellite sounding -- Stolby Nature Reserve
Аннотация: The variability of the state of forest vegetation was studied basing on the analysis of NDVI time series (2003–2016) of coniferous and deciduous stands and climate in Krasnoyarsk Territory (Stolby Nature Reserve). The initial data were 8-day Modis satellite information (MOD09Q1 product) and meteorological information from terrestrial weather stations. It was revealed that the trends of the averaged NDVI of forest vegetation for the period May – September and the maximum NDVI were negative. An analysis of the relationship between the dynamics of NDVI forest vegetation and the hydrothermal factor on the territory of the reserve in the 14-year cycle revealed an insignificant correlation between these variables. The negative NDVI trends of coniferous and deciduous stands indicate degradation processes. Deterioration of the state of forest vegetation in the study area detected by satellite data is explained by a combination of factors: climate change, anthropogenic impact of Krasnoyarsk and presence of old-aged forest. © 2018 Space Research Institute of the Russian Academy of Sciences. All rights reserved.

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Держатели документа:
Institute of Biophysics SB RAS, Krasnoyarsk, 660036, Russian Federation

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

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The Restoration Dynamics of Fallow Vegetation in the Steppe Zone of the Khakassia Republic Based on Terrain and Satellite Data / I. Y. Botvich, T. M. Zorkina // Biophysics. - 2019. - Vol. 64, Is. 2. - P309-315, DOI 10.1134/S0006350919020039 . - ISSN 0006-3509
Кл.слова (ненормированные):
fallow lands -- long-term variability (structure -- MODIS -- NDVI -- phytomass) -- projective cover -- restoration of natural vegetation -- satellite and terrain research methods
Аннотация: Abstract: The dynamics and specific features of the restoration of forbs–grass–wormwood and wormwood–grass phytocoenoses on fallow lands in the Altai region, the Republic of Khakassia, were determined on the basis of terrain and satellite data. The species composition, structure, and phytomass of the phytocoenoses were revealed. A gradual formation of structural elements of steppe communities in the studied areas was determined. This work showed the usefulness of time series of satellite data on the NDVI (Normalized Difference Vegetation Index) obtained with the use of MODIS (Moderate Resolution Imaging Spectroradiometer) for the study of specific features of restored fallows. In general the biological parameters, projective cover, and phytomass determine the value of the NDVI. Interannual NDVI variability reflects the rate and time period of fallow restoration. From a certain point, the parameters increased and became close to the steppe (control variant). It has been revealed that not only abiotic factors (climate and soils), but also biotic parameters (grazing and recreational load) affect the NDVI. In this connection, the duration of restoration stages does not always correspond to the published data. They vary under different conditions. Climatic data of the Abakan meteorological station (index 29862 in the network of the World Meteorological Organization) for the period from 2000 to 2017 were statistically treated. The long-term annual average norms of temperatures and precipitation amounts (year and month) for the World Meteorological Organization base period of 1961–1990 were calculated. The dynamics of the temperature and precipitation, using long-term series of data, has been analyzed. © 2019, Pleiades Publishing, Inc.

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Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Division of Federal Research Center Krasnoyarsk Scientific Center, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036, Russian Federation
Cherepnin Herbarium, Astaf’ev Krasnoyarsk State Pedagogical University, Krasnoyarsk, 660049, Russian Federation

Доп.точки доступа:
Botvich, I. Y.; Zorkina, T. M.

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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
Кл.слова (ненормированные):
Boreal forests and ecosystems -- Classification of plant communities -- Linear discriminant analysis -- NDVI (normalized difference vegetation index) -- Discriminant analysis -- Radiometers -- Remote sensing -- Time series -- Vegetation -- Average air temperature -- Boreal forests -- Canonical correlations -- Classification analysis -- Linear discriminant analysis -- Normalized difference vegetation index -- Plant communities -- Satellite information -- Forestry
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.

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10.

Mathematical models for determining the boundaries of forest areas unstable to the appearance of insects using satellite data (MODIS) / A. A. Kovalev, Yu. D. Ivanova, A. A. Sukhovolskiy [et al.] // 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. 012091, DOI 10.1088/1757-899X/734/1/012091
Аннотация: The proposed approach allows us to evaluate the response of forest stands to local weather changes and resistance to insect attack without using data from weather stations, sometimes located far from experimental forest areas. All raw data were obtained during the season using remote sensing data (MODIS / AQUA). The ability to pre-determine decrease and loss of forest stands resistance to possible insect attacks can be extremely important for solving the tasks of forest-entomological monitoring and calculating the risk of forest insect's outbreaks. © Published under licence by IOP Publishing Ltd.

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

Доп.точки доступа:
Kovalev, A. A.; Ivanova, Yu. D.; Sukhovolskiy, A. A.; Volkov, V. E.; Sukhovolskiy, V. G.

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11.

Seasonal Dynamics of Vegetation on Fallow Lands in Krasnoyarsk Forest Steppe According to Terrain and Satellite Data / A. P. Shevyrnogov, T. I. Pisman, N. A. Kononova [et al.] // Izv. Atmos. Ocean. Phys. - 2019. - Vol. 55, Is. 9. - P1353-1361, DOI 10.1134/S0001433819090470. - Cited References:29. - This study was performed according to the Complex Program of Fundamental Research of the Siberian Branch of the Russian Academy of Sciences Interdisciplinary Integration Researches for 2018-2020 (project no. 74) and State Task registration no. AAAA-A17-117013050027-1. . - ISSN 0001-4338. - ISSN 1555-628X

РУБ Meteorology & Atmospheric Sciences + Oceanography
Рубрики:
MODIS
Кл.слова (ненормированные):
fallow lands -- vegetation indices -- terrain spectophotometry -- MODIS -- geobotanical researches -- Krasnoyarsk krai
Аннотация: This article presents investigation data on the seasonal dynamics of productivity, status, and species composition of vegetation on fallow lands in the Krasnoyarsk forest steppe (Middle Siberia) obtained from terrain and satellite materials from 2017. The results of the study of grass plant communities on the basis of geobotanical descriptions and terrain spectrometry were have been used for a more accurate interpretation of cosmic photographs of moderate and low resolution. For studying vegetation on fallow lands, we analyze the seasonal dynamics of various vegetative indices (NDVI, EVI, LSWI, and LAI) and parameters (NPP, FPAR, and LST (land surface temperature)) obtained from MODIS satellite images. Our analysis of satellite data shows the absence of evidences of plowing and mowing in the studied area. A positive correlation is revealed between vegetation indices of biomass (NDVI, EVI, LAI, and NPP) and parameters of hydrothermal conditions (LSWI, FPAR, and LST).

WOS
Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Biophys, Krasnoyarsk, Russia.

Доп.точки доступа:
Shevyrnogov, A. P.; Pisman, T. I.; Kononova, N. A.; Botvich, I. Yu.; Larko, A. A.; Vysotskaya, G. S.; Kononova, Natalia; Complex Program of Fundamental Research of the Siberian Branch of the Russian Academy of Sciences [74, AAAA-A17-117013050027-1]

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12.

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.

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13.

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, DOI 10.3390/atmos12010012. - Cited References:51. - This research was funded by RFBR according to the research project number 18-04-00119-a. . - ISSN 2073-4433

РУБ Environmental Sciences + Meteorology & Atmospheric Sciences

Кл.слова (ненормированные):
boreal forests -- tree and forest functioning -- tree ring width -- field -- measurements -- remote sensing data analysis -- modeling studies of forest
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.

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Держатели документа:
RAS, Krasnoyarsk Sci Ctr SB, Fed Res Ctr, Inst Biophys, Krasnoyarsk 660036, Russia.
RAS, Krasnoyarsk Sci Ctr SB, Fed Res Ctr, Krasnoyarsk 660036, Russia.
RAS, Krasnoyarsk Sci Ctr SB, Fed Res Ctr, Sukachev Inst Forest, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Ivanova, Yulia; Kovalev, Anton; Soukhovolsky, Vlad; RFBRRussian Foundation for Basic Research (RFBR) [18-04-00119-a]

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14.

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.

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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.

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