Surface Displacement Measurement from Remote Sensing Images

Book description

Drastic improvements in both access to satellite images and data processing tools today allow near real-time observation of Earth surface deformations. Remote sensing imagery is thus a powerful, reliable and spatially dense source of information that can be used to understand the Earth and its surface manifestations as well as mitigate natural hazards.

This book offers for the first time a complete overview of the methodological approaches developed to measure surface displacement using synthetic aperture radar (SAR) and optical imagery, as well as their applications in the monitoring of major geophysical phenomena. More specifically, the first part of the book presents the theory behind SAR interferometry (InSAR) and image correlation and its latest developments. In the second part, most of the geophysical phenomena that trigger Earth surface deformations are reviewed.

Surface Displacement Measurement from Remote Sensing Images unveils the potential and sensitivity of the measurement of Earth surface displacements from remote sensing imagery.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Preface
  5. PART 1: Theory, Principles and Methodology
  6. 1 Relevant Past, On-going and Future Space Missions
    1. 1.1. Some key parameters for space missions
    2. 1.2. Past and on-going SAR missions
    3. 1.3. Future SAR missions
    4. 1.4. Optical imaging missions
    5. 1.5. Conclusion
    6. 1.6. Acknowledgments
    7. 1.7. References
  7. 2 Image Matching and Optical Sensors
    1. 2.1. Introduction, definition and applications
    2. 2.2. Template matching
    3. 2.3. Handling “large” deformations
    4. 2.4. Discrete nature of the image and sub-pixel matching
    5. 2.5. Optical imaging sensors
    6. 2.6. Acknowledgments
    7. 2.7. References
  8. 3 SAR Offset Tracking
    1. 3.1. Basics of SAR imaging
    2. 3.2. SAR offset tracking
    3. 3.3. Acknowledgments
    4. 3.4. References
  9. 4 SAR Interferometry: Principles and Processing
    1. 4.1. Introduction
    2. 4.2. Principle and limits of SAR interferometry
    3. 4.3. Atmospheric corrections
    4. 4.4. InSAR processing chains
    5. 4.5. Conclusion
    6. 4.6. Acknowledgments
    7. 4.7. References
  10. 5 Advanced Methods for Time-series InSAR
    1. 5.1. Introduction
    2. 5.2. Background of time-series InSAR analysis
    3. 5.3. A review
    4. 5.4. The SBAS technique
    5. 5.5. The PSDS technique
    6. 5.6. Acknowledgments
    7. 5.7. References
  11. 6 The Interferometric Phase: Unwrapping and Closure Phase
    1. 6.1. Introduction
    2. 6.2. Phase unwrapping algorithms and limitation of phase unwrapping errors
    3. 6.3. The (re)discovery of closure phases and their implications for SAR interferometry
    4. 6.4. Acknowledgments
    5. 6.5. References
  12. PART 2: Applications for Surface Displacements
  13. 7 Remote Sensing of the Earthquake Deformation Cycle
    1. 7.1. Introduction
    2. 7.2. What have we learned about faults from nearly three decades of tectonic InSAR?
    3. 7.3. Investigating earthquake surface ruptures with optical image correlation
    4. 7.4. Conclusion
    5. 7.5. Acknowledgments
    6. 7.6. References
  14. 8 Volcanology: The Crucial Contribution of Surface Displacement Measurements from Space for Understanding and Monitoring Volcanoes
    1. 8.1. Introduction
    2. 8.2. Origin of surface displacement and topographic changes in a volcano
    3. 8.3. Techniques used to measure displacements and topographic changes in volcanoes
    4. 8.4. Main limitations of measurements obtained by remote sensing
    5. 8.5. Main contributions of spatial geodesy for monitoring and studying volcanoes
    6. 8.6. Recent progress
    7. 8.7. Volcanic crisis management: the contribution of displacement measurements obtained using spatial imagery
    8. 8.8. Conclusion
    9. 8.9. Acknowledgments
    10. 8.10. References
  15. 9 Anthropogenic Activity: Monitoring Surface-Motion Consequences of Human Activities with Spaceborne InSAR
    1. 9.1. Introduction
    2. 9.2. Characteristics of subsidence/uplift phenomena associated with human activity
    3. 9.3. Application examples: urban underground activities
    4. 9.4. Applications in mineral resources extractive activities
    5. 9.5. Conclusion
    6. 9.6. Acknowledgments
    7. 9.7. References
  16. 10 Measuring Kinematics of Slow-Moving Landslides from Satellite Images
    1. 10.1. Introduction
    2. 10.2. Image correlation applied to satellite optical images
    3. 10.3. Offset tracking of SAR images applied to landslides
    4. 10.4. InSAR for landslide studies
    5. 10.5. Conclusion
    6. 10.6. References
  17. 11 Remote Sensing of Glacier Motion
    1. 11.1. Introduction
    2. 11.2. What is glacier motion?
    3. 11.3. Measuring glacier displacement from satellite data
    4. 11.4. What can we learn from glacier displacement?
    5. 11.5. Perspectives and future directions
    6. 11.6. Acknowledgments
    7. 11.7. References
  18. 12 New Applications of Spaceborne Optical Image Cross-Correlation: Digital Elevation Models of Volcanic Clouds and Shallow Bathymetry from Space
    1. 12.1. Introduction
    2. 12.2. Digital elevation models of volcanic ash clouds
    3. 12.3. Shallow bathymetry: measuring wave characteristics from space
    4. 12.4. Concluding remarks
    5. 12.5. Acknowledgments
    6. 12.6. References
  19. List of Authors
  20. Index
  21. End User License Agreement

Product information

  • Title: Surface Displacement Measurement from Remote Sensing Images
  • Author(s): Olivier Cavalie, Emmanuel Trouve
  • Release date: June 2022
  • Publisher(s): Wiley-ISTE
  • ISBN: 9781789450835