Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/6036
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dc.contributor.authorMeetei, Prikash N.-
dc.contributor.authorAhluwalia, Rajeev Saran-
dc.contributor.authorRai, S. P.-
dc.contributor.authorKhobragade, S. D.-
dc.contributor.authorSarangi, Shushanta-
dc.contributor.authorGoel, M. K.-
dc.contributor.authorKumar, Sushil-
dc.date.accessioned2021-06-14T14:49:42Z-
dc.date.available2021-06-14T14:49:42Z-
dc.date.issued2020-
dc.identifier.citationGeocarto Internationalen_US
dc.identifier.urihttp://117.252.14.250:8080/jspui/handle/123456789/6036-
dc.description.abstractContinuous 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.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectSnow coveren_US
dc.subjectElevationen_US
dc.subjectSlopeen_US
dc.subjectAspecten_US
dc.subjectMODISen_US
dc.subjectUpper Ganga River Basinen_US
dc.titleSpatio-temporal analysis of snow cover and effect of terrain attributes in the Upper Ganga River Basin, central Himalayaen_US
dc.typeArticleen_US
Appears in Collections:Research papers in International Journals

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