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Sedimentation study of Hirakud Reservoir, Odisha using Optic and Microwave Remote Sensing Technology (NIH-16_ 2017_26)

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dc.contributor.author Jeyakanthan, V.S.
dc.contributor.author Tyagi, J.V.
dc.contributor.author Rao, Y.R.Satyaji
dc.contributor.author Venkataramana, R. S
dc.date.accessioned 2026-01-09T06:05:51Z
dc.date.available 2026-01-09T06:05:51Z
dc.date.issued 2021
dc.identifier.uri http://117.252.14.250:8080/jspui/handle/123456789/7976
dc.description.abstract Remote sensing technique provides cost- and time-effective estimation of the live capacity of a reservoir. Multi-date satellite remote sensing data provide information on elevation contours, in the form of water spread area, at different water levels of a reservoir. Till date water-spread area from the satellite data is quantified using per-pixel based approach, this approach could not classify the periphery pixels of the water-spread area properly due to mixed in nature of the border pixels and hence land in less accurate results. To eliminate this inaccuracy a sub-pixel and super-resolution based approach has been used to accurately quantify the water-spread of the Hirakud reservoir and to identify the best approach among per-pixel, sub-pixel and super resolution methodologies. Odisha region is often experience cyclonic storms and severe monsoon activities in such situations optical satellite data could not fulfill it’s usefulness due to coverage of clouds over the study area. To overcome this problem in this study it is decided to evaluate the feasibility microwave data to quantify the water-spread area and in turn the rate of sedimentation of Hirakud reservoir as a second task. en_US
dc.language.iso en en_US
dc.publisher National Institute Of Hydrology en_US
dc.subject Water spread area en_US
dc.subject Reservoir capacity en_US
dc.subject Per-pixel en_US
dc.subject sub-pixel en_US
dc.subject super resolution mapping en_US
dc.subject microwave en_US
dc.subject satellite data en_US
dc.title Sedimentation study of Hirakud Reservoir, Odisha using Optic and Microwave Remote Sensing Technology (NIH-16_ 2017_26) en_US
dc.type Technical Report en_US


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