logo
calendar3 Aprel 2024
view27
Main language:Uzbek

USING REMOTE SENSING DATA ТО STUDY ТНЕ SEASONAL DYNAМICS OF SNOWLINE IN ТНЕ PSKEM RIVER BASIN

Field of Science:
pdf

660d059f81c44.pdf

PDF

Hydrometeorology and environmental monitoring

Hydrometeorology and environmental monitoring

Publish Articlesee more

ARTICLE ANNOTATION

quote
Snowline data based on the traditional method are insufficient to represent large remote mountain areas with highly heterogeneous topography in Uzbekistan. Nowadays, it is possible to obtain spatially distributed snow cover data for high-altitudes using remote sensing methods. Thus, we used Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover data in this study to assess the seasonal variations of snowlines in the Pskem River Basin. The MODIS snow cover data was processed by the MODSNOW-Tool allowing, the preparation of daily spatially distributed snow cover maps for the Pskem River Basin from 2000 to 2018. The daily snow cover maps were used to assess daily snow elevation in the basin, which was used to study variation of snowline over the past 18 years. The dynamics of snowline trends were evaluated for each season over the study period, and the trends were tested by the Mann-Kendall trend test. The results of the analysis of trends in the dynamics of the monthly average snowline shows that a statistically significant period of positive trends was mainly in the spring season, as well in the first month of summer, and the negative trend was observed in the autumn season. This study shows that application of the remote sensing snow cover data in remote areas can lead to a better understanding of hydrological processes under data-limited conditions.

AUTHORS

B.Nishonov

Научно-исследовательский гидрометеорологический институт

A.Mamaraimov

Центр гидрометеорологической службы Республики Узбекистан

A.G'afurov

Немецкий исследовательский центр по геонаукам

A.G'afurov

Немецкий исследовательский центр по геонаукам

U.Adhamov

Немецкий исследовательский центр по геонаукам

Tags

# масофадан зондлаш# дистанционное зондирование# remote sensing# снежный покров# snow cover# seasonal snowline# MODSNOW# mountain river basin# DEM# Pskem River.# мавсумий қор чизиғи# қор қоплами# тоғ дарёси ҳавзаси# Пском дарёси.# сезонная снеговая линия# бассейн горной реки# река Пскем.

OTHER ARTICLES IN THIS JOURNAL

Rate Article

0
0 ratings
5
4
3
2
1

Article Identifiers

ROI:

https://eroi.uz/11.0191/A0424-0009

DOI:

Not Available

References

Apel H., Abdykerimova Z., Agalhanova M., Baimaganbetov A., Gavrilenko N., Gerlitz L., Kalashnikova O., Unger-Shayesteh K., Vorogushyn S., Gafurov A. 2018. Statistical forecast of seasonal discharge in Central Asia using observational records: developing of a generic linear modeling tool for operational water resource management // Journal of Hydrology and Earth System Sciences, 22. P. 2225. doi.org/10.5194/hess-22-2225-2018.

Dietz A., Kuenzer C., Conrad Ch. 2013. Snow-cover variability in central Asia between 2000 and 2011 derived from improved MODIS daily snow-cover products // International Journal of Remote Sensing, 34. P. 3879. doi.org/10.1080/01431161.2013.767480.

Gafurov A., Ludtke S., Unger-Shayesteh K., Vorogushyn S., Schone T., Schmidt S., Kalashnikova O., Merz B. 2016. MODSNOW-Tool: an operational tool for daily snow cover monitoring using MODIS data // Environmental Earth Science, 75. PP. 1-3. doi.10.1007/s12665-016-5869-x.

Hall K., George A., Vincent V., Nicolo E., Klaus J. 2002. MODIS snow-cover products // Journal of Remote Sensing of Environment, 83. P. 181.

Liping L., Zeng Z., Zhang B. 2012. Method for Detecting Snow Lines From MODIS Data and Assessment of Changes in the Nianqingtanglha Mountains of the Tibet Plateau // Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5. P. 769. doi.10.1109/JSTARS.2012.2200654.

Pavel K., Holko L., Parajka J. 2016. Variability of snow line elevation, snow cover area, and depletion in the main Slovak basins in winters 2001–2014 // Journal of Hydrology and Hydromechanics, 64. PP. 12-13. doi: 10.1515/johh-2016-0011.

Parajka J., Bloschl G. 2008. The value of MODIS snow cover data in validating and calibrating conceptual hydrologic models // Journal of Hydrology, 358. P. 240. doi.10.1016/j.jhydrol.2008.06.006.

Rastner Ph., Prinz R., Notarnicola C., Nicholson L., Sailer R., Schwaizer G., Paul F. 2015. On the Automated Mapping of Snow Cover on Glaciers and Calculation of Snow Line Altitudes from Multi-Temporal Landsat Data // Journal of Remote Sensing, 11. PP. 1-4. doi: 10.3390/rs11121410.

Yu X., Yu Q., Guo H., Chen L. 2017. Cloud removing method for daily snow mapping over Central Asia and Xinjiang, China. IOP Conf. Series: Earth and Environmental Science, 57. P. 1. doi: 10.1088/1755-1315/57/1/012048.