Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting

Author:   Maged Marghany
Publisher:   Taylor & Francis Inc
ISBN:  

9780815386391


Pages:   316
Publication Date:   05 July 2018
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting


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Overview

The innovation in space technologies has generated a new method for observing and monitoring tsunamis from space. Most tsunami remote sensing studies focus on using classical image processing tools or conventional edge detection procedures. However, these methods do not use modern physics, applied mathematics, signal communication, remote sensing data and innovative space technologies. This book equips readers to understand how to monitor tsunamis from space with remote sensing technology art to create a better alarm warning system.

Full Product Details

Author:   Maged Marghany
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Weight:   0.975kg
ISBN:  

9780815386391


ISBN 10:   0815386397
Pages:   316
Publication Date:   05 July 2018
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Maged Marghany has a Ph.D. in Environmental Remote Sensing from the University Putra Malaysia where he now works as a researcher. He has conducted extensive research on the application of SAR data to coastal studies. He has been leading several projects related to the application of SAR to Malaysian coastal waters funded by Ministry of Science and Technology, Malaysia (MOSTE). His research is directed towards the use of SAR data for modeling shoreline changes and developing a new approach for forecasting oil slick trajectory movements. He has taught extensively and published over 200 papers on the topic.

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