ДАННЫЕ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ ЗЕМЛИ В ИЗУЧЕНИИ СТАНОВЛЕНИЯ ЛЕДЯНОГО ПОКРОВА И АНАЛИЗЕ ЕГО РЕЖИМА НА ОЗЕРЕ СЕВАН, АРМЕНИЯ

One of the important characteristics of the thermal regime of lakes is the ice regime, which affects the entire lake ecosystem. At present, remote sensing methods, in particular the NDSII spectral index, allow to observe the ice cover, map it and carry out its cartometric studies. The purpose of this study is to assess the possibility of using satellite remote sensing data for analyzing the ice cover of Lake Sevan and studying its ice regime. The remote sensing data of Lake Sevan confirm the increase in the frequency of its freezing as a result of lake water level decrease. Analysis of the results of Lake Sevan ice cover mapping showed that NDSII>0.5 corresponds to complete freezing of the lake. As a result of application of remote sensing data, both the possibility and necessity of their use for studying the ice cover and ice regime of Lake Sevan were revealed and confirmed.

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Publication Details

Journal
Proceedings of the YSU C Geological and Geographical Sciences
Published
2025-08-25
DOI
https://doi.org/10.46991/pysuc.2025.59.2.452
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
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article

ДАННЫЕ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ ЗЕМЛИ В ИЗУЧЕНИИ СТАНОВЛЕНИЯ ЛЕДЯНОГО ПОКРОВА И АНАЛИЗЕ ЕГО РЕЖИМА НА ОЗЕРЕ СЕВАН, АРМЕНИЯ

Proceedings of the YSU C Geological and Geographical Sciences
Extraction and Separation Processes
article

ДАННЫЕ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ ЗЕМЛИ В ИЗУЧЕНИИ СТАНОВЛЕНИЯ ЛЕДЯНОГО ПОКРОВА И АНАЛИЗЕ ЕГО РЕЖИМА НА ОЗЕРЕ СЕВАН, АРМЕНИЯ

article en

Abstract

One of the important characteristics of the thermal regime of lakes is the ice regime, which affects the entire lake ecosystem. At present, remote sensing methods, in particular the NDSII spectral index, allow to observe the ice cover, map it and carry out its cartometric studies. The purpose of this study is to assess the possibility of using satellite remote sensing data for analyzing the ice cover of Lake Sevan and studying its ice regime. The remote sensing data of Lake Sevan confirm the increase in the frequency of its freezing as a result of lake water level decrease. Analysis of the results of Lake Sevan ice cover mapping showed that NDSII>0.5 corresponds to complete freezing of the lake. As a result of application of remote sensing data, both the possibility and necessity of their use for studying the ice cover and ice regime of Lake Sevan were revealed and confirmed.

Proceedings of the YSU C Geological and Geographical SciencesVol. 59(2 (266))
Max Planck Society (DE)
Openalex Percentile: Top 52%
Extraction and Separation Processes
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