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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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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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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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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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