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Monitoring snow cover changes in the Amu darya river basin using remote sensing (2001-2025)

27-01-2026
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Authors

  • D Yarashev
    Hydrometeorological Research Institute
  • G Umirzoqov
    Hydrometeorological Research Institute; National Univsity of Uzbekistan named after Mirzo Ulugbek
  • A Gafurov
    Hydrometeorological Research Institute

Abstract

The study analyzes the dynamics of snow cover changes in the upper part of the        Amudarya river basin above the Kerki hydrological post during 2001-2025, based on data obtained using the MODSNOW program. Snow cover variations were analyzed both monthly for the entire basin and by elevation zones. Snow cover change trends were determined using the Mann-Kendall statistical test.

Published

27-01-2026

Issue

No. 3 (2025): HYDROMETEOROLOGY AND ENVIRONMENTAL MONITORING

Section

Articles

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Keywords:

snow cover remote sensing MODIS MODSNOW-tool hydrological year Mann-Kendall test trend Amudarya river

How to Cite

Yarashev, D., Umirzoqov, G., & Gafurov, A. (2026). Monitoring snow cover changes in the Amu darya river basin using remote sensing (2001-2025). Hydrometeorology and Environmental Monitoring, 3, 35-48. https://nigmi-journal.uz/index.php/jhem/article/view/15
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References

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Gafurov A., Ludtke S., Unger-Shayesteh K. Vorogushyn1 S. Schone T. Schmidt S. Kalashnikova O. Merz B. MODSNOW-Tool: an operational tool for daily snow cover monitoring using MODIS data // Environmental Earth Science. № 75. 2016. – PP. 1-15.

Gafurov A., Mamaraimov A., Friedrich B., Gafurov A. Seasonal snow cover variations in Central Asia based on remote sensing data. / EGU General Assembly 2024, Vienna, Austria, 14–19 April 2024, EGU24-19588, https://doi.org/10.5194/egusphere-egu24-19588.

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Hamed H. Khaled. Trend detection in hydrologic data: The Mann–Kendall trend test under the scaling hypothesis // Journal of Hydrology, 2008. Vol. 349, Iss. 3-4, – PP. 350-363, ISSN 0022-1694, https://doi.org/10.1016/j.jhydrol.2007.11.009.

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Mamaraimov A., Gafurov A. Masofadan qor qoplamini monitoring qilish uchun “MODSNOW” operativ dasturi / “Geografik tadqiqotlar: innovatsion g‘oyalar va rivojlanish istiqbollari” xalqaro ilmiy-amaliy konferensiya materiallari to‘plami. – Toshkent, 2022. – B. 597–602.

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Yue Sh., Pilon P., Cavadias G. Power of the Mann-Kendall and Spearman's rho tests for detecting monotonic trends in hydrological series // Journal of Hydrology, 2002.Vol. 259, Iss. 1-4, – PP. 254-271.

License

Copyright (c) 2026 Д. Ярашев, Г. Умирзаков, А. Гафуров (Автор)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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