Synthetic Aperture Radar Interferometry (InSAR) is an active remote sensing method that uses repeated radar scans of the Earth's solid surface to measure relative deformation at centimeter precision over a wide swath. It has revolutionized our understanding of the earthquake cycle, volcanic eruptions, landslides, glacier flow, ice grounding lines, ground fluid injection/withdrawal, underground nuclear tests, and other applications requiring high spatial resolution measurements of ground deformation. This book examines the theory behind and the applications of InSAR for measuring surface deformation. The most recent generation of InSAR satellites have transformed the method from investigating 10's to 100's of SAR images to processing 1000's and 10,000's of images using a wide range of computer facilities. This book is intended for students and researchers in the physical sciences, particularly for those working in geophysics, natural hazards, space geodesy, and remote sensing. This title is also available as Open Access on Cambridge Core.
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David T. Sandwell is a Professor of Geophysics at Scripps Institution of Oceanography. His research is focused on marine tectonics, geodynamics, and the earthquake cycle using InSAR and GNSS (Global Navigation Satellite System). He is the author of more than 200 research papers and the book Advanced Geodynamics: The Fourier Transform Method (2022, Cambridge University Press). He is a member of the US National Academy of Sciences.
Xiaohua Xu is a Professor at the University of Science and Technology of China. His research is focused on earthquakes, faulting, crustal deformation, and tectonic geodesy.
Jingyi Ann Chen is an Associate Professor of Aerospace Engineering at the University of Texas at Austin. Her research is focused on the development of InSAR techniques for studying natural and induced seismicity, groundwater resources, natural disasters, and permafrost hydrology. She is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and a member of the American Geophysical Union (AGU).
Robert J. Mellors is a Researcher at Scripps Institution of Oceanography. His research is focused on enhancing geophysical sensing including InSAR, global seismic instrumentation, muons, and photonic seismology. He is currently an advisor to the US Department of Energy (ARPA-E) on advanced energy technologies.
Meng (Matt) Wei is an Associate Professor of oceanography in the Graduate School of Oceanography at the University of Rhode Island. His research is focused on tectonic geodesy, fault mechanics, coastal subsidence, and natural hazards. He has published about thirty research papers and is a recipient of a Faculty Early Career Development Program (CAREER) award from the National Science Foundation .
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Hardcover. Condición: new. Hardcover. Synthetic Aperture Radar Interferometry (InSAR) is an active remote sensing method that uses repeated radar scans of the Earth's solid surface to measure relative deformation at centimeter precision over a wide swath. It has revolutionized our understanding of the earthquake cycle, volcanic eruptions, landslides, glacier flow, ice grounding lines, ground fluid injection/withdrawal, underground nuclear tests, and other applications requiring high spatial resolution measurements of ground deformation. This book examines the theory behind and the applications of InSAR for measuring surface deformation. The most recent generation of InSAR satellites have transformed the method from investigating 10's to 100's of SAR images to processing 1000's and 10,000's of images using a wide range of computer facilities. This book is intended for students and researchers in the physical sciences, particularly for those working in geophysics, natural hazards, space geodesy, and remote sensing. This title is also available as Open Access on Cambridge Core. This book provides the basic physical principles of the Synthetic Aperture Radar Interferometry (InSAR) theory and its applications for mapping surface deformation. It is intended for students and researchers in the physical sciences, particularly for those working in geophysics, natural hazards, space geodesy, and remote sensing. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781009606233
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