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.
