Investigating changes in snow cover in the center of Bamyan province using satellite images

بررسی تغییرات پوشش برفی مرکز ولایت بامیان با استفاده از تصاویر ماهواره‌ای


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  • Akbar Sharafat Department of geography, Faculty of Geoscience, Bamyan University, Afghanistan
  • Nematullah Toghani Department of geography, Faculty of Geoscience, Bamyan University, Afghanistan
  • Mohammad Karim Sirat Department of Engineering Geodesy, Faculty of Geoscience, Bamyan University, Afghanistan


Snow, Landsat, Maximum, Likelihood, Bamyan center


Studying and measuring changes in snow levels is very important as one of the important sources of water supply. Due to the harsh physical conditions of mountainous environments, it is not possible to make permanent measurements on the ground to estimate the sources of blue snow and create a database. For this reason, it is very important to use satellite images to identify snow catchment areas and evaluate its changes. The data used in this study are Landsat 8 satellite images of the OLI sensor in January and March of 2016 and 2023, the center of Bamyan province. The method used in this study is supervised classification using maximum likelihood algorithm. Examining the maps related to changes in snow cover in January showed that during the studied period, the lowest amount of snow cover is for the month of January 2023, which is 1238/34 square kilometers, while in January 2016, the amount of snow cover is 1264/74 square kilometers and the snow cover will reach 1116/11 square kilometers in March 2016 and 1215/72 square kilometers in March 2023 respectively. This issue shows the changes in the amount of snow cover in the central region of Bamyan province during 8 years and shows the vulnerability of water sources related to snow melting in this region.


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Archer, D. R., Bailey, J. O., Barrett, E. C., & Greenhill, D. (1994). The Potential of Satellite Remote Sensing of Snow over Great Britain in Relation to Cloud Cover: Paper Presented at EGS XVII General Assembly (Edinburgh, GB–April 1992). Hydrology Research, 25(1-2), 39-52.‏ DOI:

Abburu, S., & Babu Golla, S. (2015). Satellite Image Classification Methods and Techniques: A Review. International Journal of Computer Applications, 119(8), 20–25. DOI:

Bolstad, P. V., & Lillesand, T. M. (1991). Rapid maximum likelihood classification. Photogrammetric Engineering & Remote Sensing, 57(1), 67–74.

Carroll, S. S., Carroll, T. R., & Poston, R. W. (1999). Spatial modeling and prediction of snow-water equivalent using ground-based, airborne, and satellite snow data. Journal of Geophysical Research Atmospheres, 104(D16), 19623–19629. DOI:

Chipman, J. W., Ullesand, T. M., Gage, J. D., & Radclhie, S. (2000). Spaceborne Imaging Radar in Support of Forest Resource Management. 66(11), 1357–1366.

Engman, E. T., & Gurney, R. J. (1991). Remote sensing in hydrology. Chapman and Hall Ltd. DOI:

Klein, A. G., Hall, D. K., & Riggs, G. A. (1998). Global snow cover monitoring using MODIS. Information for sustainability, 363-366.‏

Khalsa, S. S., Aizen, V. B., Surazakov, A. B., & Aizen, E. M. (2007, December). Changes in Seasonal Snow Cover in Tien Shan During the MODIS Period of Record. In AGU Fall Meeting Abstracts (Vol. 2007, pp. GC23A-0984).‏

Lopez, P., Sirguey, P., Arnaud, Y., Pouyaud, B., & Chevallier, P. (2008). Snow cover monitoring in the Northern Patagonia Icefield using MODIS satellite images ( 2000 – 2006 ). 61, 103–116. DOI:

Miller, N. L., Bashford, K. E., & Strem, E. (2004). CALIFORNIA HYDROLOGY 1. 95821, 771–784. DOI:

Rango, A., Salomonson, V. V, Foster, J. L., & River, K. (1977). Seasonal Streamflow Estimation in the Himalayan Region Employing Meteorological Satellite Snow Cover Observations l •’ Kalabagh. 13(I). DOI:

Riggs, G. A., Hall, D. K., & Salomonson, V. V. (2006). MODIS snow products user guide. NASA Goddard Space Flight Center Rep, 80, 1-45.

Singer, F. S., & Popham, R. W. (1963). Non-meteorological observations from satellites. Astronaut. Aerospace Eng, 1(3), 89-92.

Stancalie, G., Catana, S., & Flueraru, C. (2006). Evaluation and monitoring of snow cover water resources in Carpathian basins using geographic information. In Security of Water Supply Systems: from Source to Tap (pp. 125-135). Springer Netherlands.‏ DOI:

احمدی, محمود, عاشورلو, داوود, & نارنگی فرد. (1391). تغییرات زمانی-مکانی الگوهای حرارتی و کاربری شهر شیراز با استفاده از داده های سنجنده TM&ETM+. نشریه سنجش از دور و GIS ایران 4(4)..

اردلانی, ارمغان, رایگانی, گشتاسب, نظامی, باقر, & جهانی. (1401). مقایسه عملکرد سنجنده‌های مودیس در ماهواره ترا و ماهواره آکوآ در بررسی روند تغییرات پوشش برف استان تهران به کمک سری‌های زمانی داده‌‌‌‌های دورسنجی. پژوهش های محیط زیست. 13(26), 355-372.

سلیمانی، کریم، درویشی، شادمان، شکریان، & رشیدپور.(1397) .پایش تغییرات زمانی-مکانی پوشش برف با استفاده از تصاویرMODIS )مطالعه موردی: استان کردستان. (نشریه سنجش از دور و GIS ایران,10 (3), 77-104.

قاسمی, & احمد رضا. (1401). بررسی تغییرات پوشش برف منطقه کوهرنگ استان چهارمحال و بختیاری با استفاده از پردازش تصاویر ماهواره لندست. پژوهش های نوین در مهندسی آب پایدار،1(2), 13-25.

Published on: 2024-01-11

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How to Cite

Sharafat, A., Toghani, N., & Sirat, M. K. (2024). Investigating changes in snow cover in the center of Bamyan province using satellite images: بررسی تغییرات پوشش برفی مرکز ولایت بامیان با استفاده از تصاویر ماهواره‌ای. Sprin Multidisciplinary Journal in Pashto, Persian & English, 2(01), 5–11.



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