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Volume 37, Issue 2 (2022)
GeoRes 2022, 37(2): 231-239 |
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Received: 2021/12/29 | Accepted: 2022/04/11 | Published: 2022/06/11
Received: 2021/12/29 | Accepted: 2022/04/11 | Published: 2022/06/11
How to cite this article
Sherafat M, Yarahmadi D, Fathnia A, Mirhashemi H. Monitoring Snow Cover Changes and the Volume of Snow Water Equivalent Using MODIS and AMSR-2/AMSR-E Sensor Data (Case Study: Karun, Karkheh and Dez Basins). GeoRes 2022; 37 (2) :231-239
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1- Department of Geography, Faculty of Literature and Humanities, Lorestan University, Khorramabad, Iran
2- Department of Geography, Faculty of Literature and Humanities, Razi University, Kermanshah, Iran
2- Department of Geography, Faculty of Literature and Humanities, Razi University, Kermanshah, Iran
Abstract (763 Views)
Aims: The aim of this study was to investigate the spatio-temporal changes of snow cover and snow water equivalent in Karun, Karkheh and Dez basins and the effect of changes in the discharge of these basins.
Methodology: In order to extract snow cover and measure snow water equivalent and their correlation with the discharge of Karun, Karkheh and Daz basins, from the thresholding method on reflective and thermal bands, Man Kendal method, Spearman correlation and MODIS measurement data (2000-2020), available images of AMSR-2/AMSR-E sensor (2003-2020) and monthly discharge at the same time with the mentioned satellite images have been used.
Findings: The results of time series analysis in all three studied basins show a decreasing trend of snow cover area and volume of the snow water equivalent in most months And The most decreasing changes in snow cover area were observed in Dez basins and March with a value of -3.26 and the most decreasing changes of snow water equivalent were observed in Karun basin and February with a value of -3.86. The highest correlation in all three basins was related to Dez basin in June with a value of 0.775 (p<0.01) and the lowest was related to Karkheh basin in February with a value of 0.183. Examination of the relationship between discharge and snow water equivalent AMSR-E/AMSR-2 images also showed that the highest correlation was related to Karun Basin in January with a value of 0.721 (p<0.01).
Conclusion: Generally, in the observed years, the area of snow cover and snow water equivalent in all months has decreased and is more severe in Karun and Dez basins. In addition, in most months, there is no significant relationship between snow cover area and basin discharge.
Methodology: In order to extract snow cover and measure snow water equivalent and their correlation with the discharge of Karun, Karkheh and Daz basins, from the thresholding method on reflective and thermal bands, Man Kendal method, Spearman correlation and MODIS measurement data (2000-2020), available images of AMSR-2/AMSR-E sensor (2003-2020) and monthly discharge at the same time with the mentioned satellite images have been used.
Findings: The results of time series analysis in all three studied basins show a decreasing trend of snow cover area and volume of the snow water equivalent in most months And The most decreasing changes in snow cover area were observed in Dez basins and March with a value of -3.26 and the most decreasing changes of snow water equivalent were observed in Karun basin and February with a value of -3.86. The highest correlation in all three basins was related to Dez basin in June with a value of 0.775 (p<0.01) and the lowest was related to Karkheh basin in February with a value of 0.183. Examination of the relationship between discharge and snow water equivalent AMSR-E/AMSR-2 images also showed that the highest correlation was related to Karun Basin in January with a value of 0.721 (p<0.01).
Conclusion: Generally, in the observed years, the area of snow cover and snow water equivalent in all months has decreased and is more severe in Karun and Dez basins. In addition, in most months, there is no significant relationship between snow cover area and basin discharge.
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References
1. Ansari H, S Marofi (2017). Snow water equivalent estimation using AMSR-E and GLDAS model (case study: basins of northwestern Iran). Journal of Water and Soil. 31(5):1497-1510. [Persian] [Link]
2. Banihabib MI, Jamali FS, Saghafian B (2013). Detection of the snow cover area using NOAA-AVHRR in Shahcheraghi Dam basin. Physical Geography Research Quarterly. 45(3):13-29. [Persian] [Link]
3. Bavera D, Bavay M, Jonas T, Lehning M, De Michele C (2014). A comparison between two statistical and a physically-based model in snow water equivalent mapping. Advances in Water Resources. 63:167-178. [Link] [DOI:10.1016/j.advwatres.2013.11.011]
4. Byun K, Choi M (2014). Uncertainty of snow water equivalent retrieved from AMSR-E brightness temperature in northeast Asia. Hydrological Processes. 28(7):3173-3184. [Link] [DOI:10.1002/hyp.9846]
5. Coll J, Li X (2018). Comprehensive accuracy assessment of MODIS daily snow cover products and gap filling methods. ISPRS Journal of Photogrammetry and Remote Sensing. 144:435-452. [Link] [DOI:10.1016/j.isprsjprs.2018.08.004]
6. Chang ATC, Foster JL, Hall DK, Goodison BE, Walker AE, Metcalfe JR, et al (1997). Snow parameters derived from microwave measurements during the BOREAS winter field campaign. Journal of Geophysical Research. 102(D24):29663-29671. [Link] [DOI:10.1029/96JD03327]
7. Dietz A (2013). Central Asian snow cover characteristics between 1986 and 2012 derived from time series of medium resolution remote sensing data [dissertation]. Universität Würzburg. [Link]
8. Hall DK, Riggs GA (2016). MODIS/Terra Snow Cover 8-Day L3 Global 500m SIN Grid, Version 6 [Internet]. Boulder: National Snow and Ice Data Center; [Unknown Cited]. Available from: https://nsidc.org/data/MOD10A2/versions/6 [Link]
9. Hüsler F, Fontana F, Neuhaus C, Jan Musial M, Wunderle S (2011). AVHRR archive and processing facility at the university of bern: a comprehensive 1 Km satellite data set for climate change studies. EARSeL eProceedings. 10(2):83-101. [Link]
10. Gao Y, Xie H, Lu N, Yao T, Liang T (2010). Toward advanced daily cloud-free snow cover and snow water equivalent products from Terra-Aqua MODIS and Aqua AMSR-E measurements. Journal of Hydrology. 385(1-4):23-35. [Link] [DOI:10.1016/j.jhydrol.2010.01.022]
11. Guyennon N, Valt M, Salerno F, Bruna A, Romano E (2019). Estimating the snow water equivalent from snow depth measurements in the Italian Alps. Cold Regions Science and Technology. 167:102859. [Link] [DOI:10.1016/j.coldregions.2019.102859]
12. Jamali S (2014). Hydropower vulnerability assessment in the face of climate change impacts case study: Karkheh river basin. Iranian Dam and Hydroelectric Powerplant. 1(2):25-37. [Persian] [Link]
13. Kawanishi T, Sezai T, Ito Y, Imaoka K, Takeshima T, Ishidoet Y, et al (2003). The advanced microwave scanning radiometer for the earth observing system (AMSR-E), NASDA'S contribution to the eos for global energy and water cycle studies. IEEE Transactions on Geoscience and Remote Sensing. 41(2):184-194. [Link] [DOI:10.1109/TGRS.2002.808331]
14. Kendall MG (1970). Rank correlation methods. 2nd Edition. New York: Hafner. [Link]
15. Kelly R, Foster J, Tedesco M (2004). AMSR-E/Aqua Daily L3 Global Snow Water Equivalent EASE-Grids, Version 2 [Internet]. Boulder: NASA National Snow and Ice Data Center; [Unknown Cited]. Available from: https://nsidc.org/data/ae_dysno/versions/2 [Link]
16. Klein AG, Hall DK, Riggs GA (1998). Improving snowcover mapping in forests through the use of a canopy reflectance model. Hydrological Processes. 12(10-11):1723-1744.
https://doi.org/10.1002/(SICI)1099-1085(199808/09)12:10/11<1723::AID-HYP691>3.0.CO;2-2 [Link] [DOI:10.1002/(SICI)1099-1085(199808/09)12:10/113.0.CO;2-2]
17. Langlois A, Scharien R, Geldsetzer T, Iacozza J, Barber DG, Yackel J (2008). Estimation of snow water equivalent over first-year sea ice using AMSR-E and surface observations. Remote Sensing of Environment. 112(9):3656-3667. [Link] [DOI:10.1016/j.rse.2008.05.004]
18. Lobl ES, Spencer RW, Shibat A, Imaoka K, Sasaki M, Kachi M (2003). Global climate monitoring with the Advanced Microwave Scanning Radiometer (AMSR and AMSR-E). Microwave Remote Sensing of the Atmosphere and Environment III. 4894. [Link] [DOI:10.1117/12.466518]
19. Mann HB (1945). Nonparametric tests against trend. Econometrica. 13:245-259. [Link] [DOI:10.2307/1907187]
20. Mhawej M, Faour G, Fayad A, Shaban A (2014). Towards an enhanced method to map snow cover areas and derive snow-water equivalent in Lebanon. Journal of Hydrology. 513:274-282. [Link] [DOI:10.1016/j.jhydrol.2014.03.058]
21. Mohammadi Ahmadmahmoudi P, Khoorani A (2019). Snow cover changes of zagros range in 2001-2016 using daily data of MODIS. Journal of Earth and Space Physics. 45(2):355-371. [Persian] [Link]
22. Shan LU, Kazuo OKI, Kenji OMASA (2005). Mapping snow cover using AVHRR NDVI 10-daycomposite data. Journal of Agricultural Meteorology. 60(6):1215-1218. [Link] [DOI:10.2480/agrmet.1215]
23. Soleimani K, Darvishi S, Shokrian F, Rashidpour M (2018). Spatial-temporal monitoring of snow cover in Kurdistan province using MODIS images. ranian Remote Sensing & GIS Society. 10(3):104-77. [Persian] [Link]
24. Yang J, Jiang L, Ménard CB, Luojus K, Lemmetyinen J, Pulliainen J (2015). Evaluation of snow products over the Tibetan Plateau. Hydrological Processes. 29(15):3247-3260. [Link] [DOI:10.1002/hyp.10427]
25. Zhou H, Aizen E, Aizen V (2013). Deriving long term snow cover extent dataset from AVHRR and MODIS data: Central Asia case study. Remote Sensing of Environment. 136:146-162. [Link] [DOI:10.1016/j.rse.2013.04.015]