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USING MODIS DATA TO ASSESS CHANGES IN SNOW COVER IN THE URADARYA RIVER BASIN

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Hydrometeorology and environmental monitoring

Hydrometeorology and environmental monitoring

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ARTICLE ANNOTATION

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Snow is the main component of the runoff formation on mountain rivers in Central Asia, and it is critical for seasonal water availability. Therefore, snow data are particularly important in high mountain areas, where the snowpack persists for longer periods and snowmelt provides runoff and water supply for the downstream populations. However, due to the limited number of meteorological stations in remote high mountain river basins, snow data are not sufficient. In this case, the remote sensing method can be used to obtain daily snow data for high mountain basins. Therefore, we used Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover data in this research. The MODIS snow cover data were processed by using the MODSNOW-Tool. This tool was used to generate daily cloud-free spatially distributed snow cover data were generated for the Uradarya River Basin over the last 20 years (2001-2020), which was used to assess the snow cover changes in the basin. Analyses based on the processed MODIS data showed that more snow years were observed in 2007 (95.82%), 2015 (98.16%), 2019 (43.78%) and less snow years in 2004 (19.29 %), 2016 (10.60 %), 2018 (15.05%). The main advantage of MODSNOW-Tool is that it contains spatio-temporal snow statistics for predefined basins. These data are valuable information for the hydrological purposes, and monitoring of daily snow cover dynamics in remote high mountain areas at basin scale.

AUTHORS

B.Nishonov

Научно-исследовательский гидрометеорологический институт

A.Mamaraimov

Научно-исследовательский гидрометеорологический институт

Tags

# масофадан зондлаш# дистанционное зондирование# remote sensing# mountain river basin# тоғ дарёси ҳавзаси# бассейн горной реки# snow cover data# MODSNOW-Tool# Uradarya River.# қор қоплами маълумотлари# МОDSNOW-Tооl# Ўрадарё дарёси.# данные снежного покрова# река Урадарья.

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Article Identifiers

ROI:

https://eroi.uz/11.0191/A0624-0023

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Not Available

References

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