Advanced Remote Sensing Technology for Tsunami Modelling and Forecasting

1. Auflage 2021
ISBN: 978-0-367-78111-8
Verlag: CRC Press

Buch, Englisch, 316 Seiten, Format (B × H): 189 mm x 246 mm, Gewicht: 614 g

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.

Autoren/Hrsg.

Marghany, Maged

Fachgebiete

• Naturwissenschaften Biowissenschaften Biowissenschaften
• Geowissenschaften Geologie GIS, Geoinformatik
• Geowissenschaften Geologie Meteorologie, Klimatologie
• Geowissenschaften Geologie Geologie

Inhaltsverzeichnis

Principles of Tsunami. Tsunami Generation Mechanisms. Tsunami of Sumatra-Andaman Earthquake 26 December 2004. Novel Theories of Tsunami Generation Mechanisms. Modification of the Earth ‘s Rotation by 2004 Earthquakes. Principles of Optical Remote Sensing for Tsunami Observation. Potential of Optical Remote Sensing Satellite for Monitoring Tsunami. Modelling Shoreline Change Rates due to the Tsunami Impact. Modelling of Tsunami Impacts On Physical Properties of Water Using Modis Data: A Study Case of Aceh, Indonesia. Genetic Algorithm for Simulation of Tsunami Impacts on Water Mass Variations Using MODIS Satellite Data. Three-Dimensional Tsunami Wave Simulation from Quickbird Satellite Data. Four–Dimensional Hologram Interferometry of Tsunami Waves from Quickbird Satellite Data. Principles of Synthetic Aperture Radar. Detection of Internal Wave from Synthetic Aperture Radar Post Tsunami. Altimeter Satellite Data Observed Tsunami Spreading. Schrödinger Theory for Future Tsunami Forecasting in Malacca Straits, Indian Ocean, Red Sea and Nile River.

Über Autor(innen)

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.