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ASSESSMENT OF THERMODYNAMIC VARIABLES OF GEOSYSTEMS IN THE NORTHEASTERN BAIKAL REGION BASED ON MULTISPECTRAL REMOTE INFORMATION

https://doi.org/10.7868/S0373244417060093

Abstract

The results of applying the thermodynamic approach to study the functioning of geosystems based on remote sensing data of Landsat satellite for landscapes of the Northeastern Baikal region are discussed. It is demonstrated that the thermodynamic variables calculated using the multispectral scanner imagery reproduce well the types of geosystems allocated based on traditional landscape mapping and allow examining their functional characteristics. It is shown that in condition of continental climate the entropy and the increment of information, reflecting the self-regulatory possibility of geosystems, have the maximum variation during the time. This variation is primarily determined by a high sensitivity of geosystems to moisture fluctuations that are displayed in the far-infrared channels. The comparison of thermodynamic characteristics obtained for the study area with similar estimations for the Eastern European landscapes shows that under the general reproducibility of the result, the Baikal region has the specificity of the system response on weather conditions. It is determined by a complex combination of the orography, sharply continental climate and by the influence of the Baikal Lake.

About the Authors

Yuliya V. Vanteeva
Institute of Geography, Siberian Branch, Russian Academy of Sciences
Russian Federation
Irkutsk


Yurii G. Puzachenko
Institute of Ecology and Evolution, Russian Academy of Sciences
Russian Federation
Moscow


Robert B. Sandlerskii
Institute of Ecology and Evolution, Russian Academy of Sciences
Russian Federation
Moscow


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Review

For citations:


Vanteeva Yu.V., Puzachenko Yu.G., Sandlerskii R.B. ASSESSMENT OF THERMODYNAMIC VARIABLES OF GEOSYSTEMS IN THE NORTHEASTERN BAIKAL REGION BASED ON MULTISPECTRAL REMOTE INFORMATION. Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya. 2017;(6):99-116. (In Russ.) https://doi.org/10.7868/S0373244417060093

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ISSN 2587-5566 (Print)
ISSN 2658-6975 (Online)