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Earth Observation for Flood Applications

  • ID: 5130571
  • Book
  • May 2021
  • 350 Pages
  • Elsevier Science and Technology
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Earth Observation for Flood Application: Progress and Perspective dives deep into various types of hydro-met hazards through mapping, modeling and forecasting. With recent floods around the world becoming ever more devastating, this book focuses on describing the newest remote sensing approaches to collect earth observation data and analyze damage cost and flood risk. Beginning with the sections on flood process and hazard measuring, this interdisciplinary reference includes four comprehensive sections. Each chapter is supported by extensive case studies and illustrative graphics, making this a valuable resource for university lecturers, teacher and working professionals in earth observation industry.

  • Describes the latest methods to global flood hazard mapping, modeling and forecasting
  • Discusses the use of remote sensing for each type of hydro-met hazards
  • Includes extensive case studies and figures to enhance key concepts
  • Brings the latest scientific advances and perspectives from experts around the world
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1. Editorial note

SECTION I: MEASURING AND MODELING FLOOD PROCESSES AND HAZARDS 2. Measuring flood parameters with remote sensing techniques 3. Remote sensing and flood hazard modeling 4. Flood early warning with Earth Observation (EO) 5. Monitoring flood events with remote sensing

SECTION II: ESTIMATING FLOOD RISK 6. Global flood risk estimation using remote sensing and models 7. Estimating change in flood risk using remote sensing and models 8. Mapping exposure with EO  9. Mapping vulnerability using EO

SECTION III: MAPPING AND ESTIMATING FLOOD DAMAGES 10. Mapping agricultural damage with remote sensing 11. Assessing infrastructure damage with remote sensing 12. Mapping levee breaches and other flood defence damage with remote sensing 13. Mapping damages during flood disasters

SECTION IV: EMERGING APPLICATIONS AND CHALLENGES 14. Emerging remote sensing technologies for flood applications 15. Combining social media and EO for flood applications 16. AI for flood applications using EO 17. Challenges for integrating EO and flood models 18. Closing Chapter (perspective from editor)

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Schumann, Guy J-P.
Dr. Guy Schumann is a principal scientist at Remote Sensing Solutions, Inc. Dr. Schumann is also a Research Fellow at Geographical Sciences, University of Bristol and an affiliate at the Dartmouth Flood Observatory (DFO), INSTAAR at the University of Colorado Boulder, CO. He received both the M.Sc. (Remote Sensing) and Ph.D. (Geography) degrees from the University of Dundee (UK) in 2005 and 2008, respectively. Dr. Schumann has more than 15 years of experience in the field of remote sensing data integration with hydrodynamic modeling and particularly radar remote sensing and its use in flood models. Dr. Schumann has over 100 publications, including papers, book chapters and edited books. Most of his current work and projects focusing on simulating river hydrodynamics and floodplain inundation and integration with remote sensing. Dr Schumann is also involved in the Interoperability Program activities of the Open Geospatial Consortium (OGC).
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