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Surface Displacement Measurement from Remote Sensing Images


Surface Displacement Measurement from Remote Sensing Images


1. Aufl.

von: Olivier Cavalie, Emmanuel Trouve

126,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 18.05.2022
ISBN/EAN: 9781119986829
Sprache: englisch
Anzahl Seiten: 416

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Beschreibungen

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.<br /><br />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.<br /><br /><i>Surface Displacement Measurement from&nbsp;</i><i>Remote Sensing Images</i>&nbsp;unveils the potential and sensitivity of the measurement of Earth surface displacements from remote sensing imagery.
<p>Preface xiii<br /><i>Olivier CAVALI&Eacute;, Emmanuel TROUV&Eacute;, Avik BHATTACHARYA</i></p> <p><b>Part 1 Theory, Principles and Methodology </b><b>1</b></p> <p>Chapter 1 Relevant Past, On-going and Future Space Missions 3<br /><i>Philippe DURAND and Stephane MAY</i></p> <p>Chapter 2 Image Matching and Optical Sensors 37<br /><i>Marc PIERROT DESEILLIGNY and Ewelina RUPNIK</i></p> <p>Chapter 3 SAR Offset Tracking 59<br /><i>Silvan LEINSS, Shiyi LI, Yajing YAN and Bas ALTENA</i></p> <p>Chapter 4 SAR Interferometry: Principles and Processing 89<br /><i>Philippe DURAND, Nadine POURTHI&Eacute;, C&eacute;line TISON and Giorgio GOMBA</i></p> <p>Chapter 5 Advanced Methods for Time-series InSAR 125<br /><i>Dinh HO TONG MINH, Ramon HANSSEN, Marie-Pierre DOIN and Erwan PATHIER</i></p> <p>Chapter 6 The Interferometric Phase: Unwrapping and Closure Phase 155<br /><i>B&eacute;atrice PINEL-PUYSS&Eacute;GUR, Francesco DE ZAN and Johann CHAMPENOIS</i></p> <p><b>Part 2 Applications for Surface Displacements </b><b>191</b></p> <p>Chapter 7 Remote Sensing of the Earthquake Deformation Cycle 193<br /><i>Mathilde MARCHANDON, TimJ.WRIGHT and James HOLLINGSWORTH</i></p> <p>Chapter 8 Volcanology: The Crucial Contribution of Surface Displacement Measurements from Space for Understanding and Monitoring Volcanoes 247<br /><i>Virginie PINEL, Fabien ALBINO, Grace BATO and Paul LUNDGREN</i></p> <p>Chapter 9 Anthropogenic Activity: Monitoring Surface-Motion Consequences of Human Activities with Spaceborne InSAR 283<br /><i>B&eacute;n&eacute;dicte FRUNEAU, Dinh HO TONG MINH and Daniel RAUCOULES</i></p> <p>Chapter 10 Measuring Kinematics of Slow-Moving Landslides from Satellite Images 315<br /><i>Pascal LACROIX, Benedetta DINI and Aya CHEAIB</i></p> <p>Chapter 11 Remote Sensing of Glacier Motion 339<br /><i>Amaury DEHECQ, Bas ALTENA, Alex S GARDNER, Emmanuel TROUV&Eacute; and Silvan LEINSS</i></p> <p>Chapter 12 New Applications of Spaceborne Optical Image Cross-Correlation: Digital Elevation Models of Volcanic Clouds and Shallow Bathymetry from Space 373<br /><i>Marcello DE MICHELE and Daniel RAUCOULES</i></p> <p>List of Authors 393</p> <p>Index 397</p>
<b>Olivier Cavalie</b>&nbsp;is a lecturer at Aix-Marseille University, France. His research interests include InSAR measurements and modeling of Earth surface deformations at different spatial scales.<br /><br /><b>Emmanuel Trouve</b>&nbsp;is a Professor at Savoie Mont Blanc University, LISTIC laboratory, Annecy, France. He teaches mathematics and signal and image processing at Polytech Annecy-Chamb&eacute;ry school of engineering. His research interests include SAR imagery, photogrammetry and glacier monitoring using remote sensing

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