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Spatio-temporal analysis of snow cover and effect of terrain attributes in the Upper Ganga River Basin, central Himalaya

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dc.contributor.author Meetei, Prikash N.
dc.contributor.author Ahluwalia, Rajeev Saran
dc.contributor.author Rai, S. P.
dc.contributor.author Khobragade, S. D.
dc.contributor.author Sarangi, Shushanta
dc.contributor.author Goel, M. K.
dc.contributor.author Kumar, Sushil
dc.date.accessioned 2021-06-14T14:49:42Z
dc.date.available 2021-06-14T14:49:42Z
dc.date.issued 2020
dc.identifier.citation Geocarto International en_US
dc.identifier.uri http://117.252.14.250:8080/jspui/handle/123456789/6036
dc.description.abstract Continuous monitoring of snow cover area (SCA) in space and time is a vital input to estimate the snow/glacier melt runoff, glacial mass balance and other hydrological studies. The present study aims to find out the spatio-temporal variation of SCA and inter-relationship between snow accumulation and topography in the Upper Ganga River Basin (UGRB) including Bhagirathi, Alaknanda, Mandakini and Pindar River sub-basins, central Himalaya using MODIS Terra (MOD10A2) data. SCA is found 32.33% to the total basin area of 18724km2 in UGRB. The Average of 12 year shows that Bhagirathi River Basin has maximum SCA 33.25%, whereas Pindar river basin has minimum SCA 17.50% among these four sub-basins. Maximum rate of change of SCA is found in the Mandakini River Basin. Slope class 20 –30 has more favorable conditions for snow accumulation. North and north-west aspect has higher snow accumulation with maximum positive attribution in January and minimum in July. en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis en_US
dc.subject Snow cover en_US
dc.subject Elevation en_US
dc.subject Slope en_US
dc.subject Aspect en_US
dc.subject MODIS en_US
dc.subject Upper Ganga River Basin en_US
dc.title Spatio-temporal analysis of snow cover and effect of terrain attributes in the Upper Ganga River Basin, central Himalaya en_US
dc.type Article en_US


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