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Article citations


Biswas, S., Sudhakar, S. and Desai, V.R. (1999) Prioritization of Sub-Watersheds Based on Morphometric Analysis of Drainage Basin, District Midnapore, West Bengal. Journal of the Indian Society of Remote Sensing, 27, 155-166.

has been cited by the following article:

  • TITLE: Estimation of Sediment Yield of Govindsagar Catchment, Lalitpur District, (U.P.), India, Using Remote Sensing and GIS Techniques

    AUTHORS: Akram Javed, K. Tanzeel, Mohammad Aleem

    KEYWORDS: Sediment Yield Index (SYI), Catchment, Remote Sensing, GIS, Land Use/Land Cover

    JOURNAL NAME: Journal of Geographic Information System, Vol.8 No.5, October 31, 2016

    ABSTRACT: Soil erosion is a global phenomenon, which results in sedimentation and siltation of reservoirs of major rivers. Remote sensing data provide a synoptic view from which several surface parameters can be derived to assess the sedimentation yield in the reservoirs. Hence estimation of sediment yield has become one of the important tasks for planners, engineers and decision makers. The present study in Govindsagar catchment, Lalitpur District, Uttar Pradesh (India), has been carried out using IRS LISS III data to analyse land use/cover characteristics besides drainage basin characterstics. Subsequently, Sediment Yield Index (SYI) of Govindsagar catchment has been estimated using surface derivatives and morphometric parameters using empirical formulae. Integration of results obtained from satellite data and morphometric analysis suggests that the Govindsagar catchment has very low rate of sediment yield i.e. 0.07 ha·m/year indicating a gentle slope and sustainable land use practices in the catchment. Low sediment yield also suggests less erosion in the catchment areas and healthy land use/cover scenario.