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46.-Assessment of sedimentation in a reservoir using remote sensing- Some case studies

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dc.contributor.author Goel, M. K.
dc.contributor.author Jain, Sharad K.
dc.contributor.author Jain, Sanjay K.
dc.contributor.author Agarwal, P. K.
dc.date.accessioned 2020-06-02T11:30:48Z
dc.date.available 2020-06-02T11:30:48Z
dc.date.issued 2000
dc.identifier.uri http://117.252.14.250:8080/jspui/handle/123456789/4342
dc.description.abstract Periodic evaluation of sediment deposition and the estimation of available live storage capacity in a reservoir is an integral component of optimum water resources management. The conventional techniques of sedimentation quantification in a reservoir, like the hydrographic surveys and inflow outflow methods, are cumbersome, costly and time consuming. Further, prediction of sediment deposition profiles using empirical and numerical methods requires large amount of data and the results obtained are still not accurate. R.emote sensing data, through its spatial, spectral and temporal attributes, can provide synoptic, repetitive and timely information regarding the revised waterspread area in a reservoir. By using the digital analysis techniques and the geographic information system in conjunction, the temporal change in waterspread area is analysed to evaluate the sediment deposition pattern in a reservoir. In this paper, the remote sensing approach in general, has been described. The approach is explained through some case studies. Inaccuracy in the assessment on account of mis-interpretation of waterspread area, selection of tail end etc. has also been highlighted. en_US
dc.language.iso en en_US
dc.publisher National Institute of Hydrology en_US
dc.subject Sediment deposition en_US
dc.subject Water resources management en_US
dc.subject Remote sensing en_US
dc.title 46.-Assessment of sedimentation in a reservoir using remote sensing- Some case studies en_US
dc.type Technical Report en_US


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