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Publisher:
Cambridge University Press
Online publication date:
September 2025
Print publication year:
2025
Online ISBN:
9781009606226
Creative Commons:
Creative Common License - CC Creative Common License - BY Creative Common License - NC Creative Common License - ND
This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC-ND 4.0 https://creativecommons.org/creativelicenses

Book description

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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Contents

Full book PDF
  • Frontmatter
    pp i-iv
  • Contents
    pp v-viii
  • Preface
    pp ix-xii
  • 1 - Introduction
    pp 1-7
  • 2 - Principles of Synthetic Aperture Radar
    pp 8-18
  • 3 - Satellite Orbits
    pp 19-40
  • 4 - SAR Image Formation
    pp 41-59
  • 5 - Interferometric Processing
    pp 60-72
  • 6 - Coherence, Filtering, and Phase Gradient
    pp 73-83
  • 7 - Phase Unwrapping
    pp 84-100
  • 8 - SAR Modes
    pp 101-121
  • 9 - Troposphere, Ionosphere, and Tide Corrections
    pp 122-146
  • 10 - Complementary Approaches and Time Series
    pp 147-165
  • 11 - Integration of InSAR and GNSS
    pp 166-183
  • References
    pp 184-194
  • Index
    pp 195-198

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