(3)A brief review on tsunami early warning detection using BPR approach and post analysis by SAR satellite dataset
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Sudhir Kumar Chaturvedi a , ∗, Pankaj Kumar Srivastavab , Ugur Guven a
a Department of Aerospace Engineering, University of Petroleum & Energy Studies, Dehradun 248007, India
b Department of Petroleum Engineering & Earth Sciences, University of Petroleum & Energy Studies, Dehradun 248007, India
Received 20 July 2016; received in revised form 11 December 2016; accepted 21 December 2016
Available online 7 April 2017
Abstract
Tsunami early warning systems have provided to be the extreme importance after the tsunami that hit Japan in March 2011. This research article presents a case study based on the tsunami detection using Bottom Pressure Rate (BPR) measurement and the post the analysis using the SAR datasets. A final decision based system using BPR has been studied to carry out the measurements of tsunami wave parameters. SAR based study has also been carried out for the post tsunami studies. Wiener filters are utilized to remove the speckle noise presents in imagery. Future scope of this work has also been proposed.
© 2017 Shanghai Jiaotong University. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license. ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
Keywords: Remote sensing; Tsunami damage detection; Epicenter; BPR.
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