Land Surface Remote Sensing

Land Surface Remote Sensing

Environment and Risks

1st Edition - October 10, 2016

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  • Editor: Nicolas Baghdadi
  • Hardcover ISBN: 9781785481055
  • eBook ISBN: 9780081012659

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Land Surface Remote Sensing: Environment and Risks explores the use of remote sensing in applications concerning the environment, including desertification and monitoring deforestation and forest fires. The first chapter covers the characterization of aerosols and gases by passive remote sensing. The next chapter presents the correlation of optical images for quantifying the deformation of the Earth's surface and geomorphological processes. The third chapter is examines remote sensing applications in the mining environment. The fourth chapter depicts the strong potential of radar imagery for volcanology and urban and mining subsidence studies. The next two chapters deal respectively with the use of remote sensing in locust control and the contribution of remote sensing to the epidemiology of infectious diseases. In the last ten years, spatial observation of the Earth—particularly continental surfaces—has expanded considerably with the launch of increasing numbers of satellites covering various applications (hydrology, biosphere, flow of surface, snow, ice, landslide, floods). This has paved the way for an explosion in the use of remote sensing data. This book offers essential coverage of space-based observation techniques for continental surfaces. The authors explore major applications and provide a corresponding detailed chapter for the physical principles, physics of measurement, and data processing requirements for each technique, bringing you up-to-date descriptions of techniques used by leading scientists in the field of remote sensing and Earth observation.

Key Features

  • Provides clear and concise descriptions of modern remote sensing methods
  • Explores the most current remote sensing techniques with physical aspects of the measurement (theory) and their applications
  • Provides chapters on physical principles, measurement, and data processing for each technique described
  • Describes optical remote sensing technology, including a description of acquisition systems and measurement corrections to be made


Research laboratories specializing in remote sensing or users of satellite products, Masters or Doctorate level students in the field of engineering, agriculture and geography

Table of Contents

    • Foreword
    • Acronyms
    • Introduction
    • 1: Drylands and Desertification
      • Abstract
      • 1.1 Drylands
      • 1.2 Dryland vegetation observed by satellite
      • 1.3 Soils and surface materials: the dominant components of drylands
      • 1.4 Conclusions and outlook
      • 1.5 Key points
    • 2: Remote Sensing and Measuring Deforestation
      • Abstract
      • 2.1 Introduction: forests, deforestation and forest degradation
      • 2.2 Which images should be used for measuring deforestation? Limits and advantages
      • 2.3 Methods for monitoring deforestation
      • 2.4 Programs for estimating deforestation on a global scale
      • 2.5 Programs evaluating deforestation and degradation on a regional scale: some case studies
      • 2.6 Outlook
      • 2.7 Key points
    • 3: Remote Sensing of Wildfires
      • Abstract
      • 3.1 Introduction
      • 3.2 Fuel moisture estimation
      • 3.3 Fire detection
      • 3.4 Burnt area mapping
      • 3.5 Perspectives
      • 3.6 Key points
    • 4: Characterization of Industrial Plumes
      • Abstract
      • 4.1 Introduction
      • 4.2 Principal characteristics of anthropogenic plumes
      • 4.3 Optical properties of plumes
      • 4.4 Characterization of aerosol plumes using remote sensing
      • 4.5 Characterization of gas plume properties
      • 4.6 Conclusions and outlook
      • 4.7 Key points
    • 5: Monitoring of Earth Surface Motion and Geomorphologic Processes by Optical Image Correlation
      • Abstract
      • 5.1 Introduction
      • 5.2 Sources of image data
      • 5.3 Preprocessing
      • 5.4 Principles of optical image correlation
      • 5.5 Applications
      • 5.6 Current limitations and perspectives
      • 5.7 Conclusions
      • 5.8 Key points
      • 5.9 Acknowledgments
    • 6: Application of Optical Remote Sensing for Monitoring Environmental Impacts of Mining: From Exploitation to Postmining
      • Abstract
      • 6.1 The environmental and societal stakes of mining
      • 6.2 The role of Earth Observation
      • 6.3 Application examples
      • 6.4 Multisensor integrated approaches
      • 6.5 Exploitation of an airborne LiDAR DTM
      • 6.6 Conclusions and perspectives
      • 6.7 Key points
      • 6.8 Acknowledgments
    • 7: The Contribution of SAR Data to Volcanology and Subsidence Studies
      • Abstract
      • 7.1 Introduction
      • 7.2 Principles of using satellite SAR data to measure ground displacement
      • 7.3 The contribution of InSAR to the understanding and monitoring of volcanoes
      • 7.4 Contribution of InSAR to the characterization of anthropogenic subsidence
      • 7.5 Outlook
      • 7.6 Appendix 1
      • 7.7 Appendix 2
      • 7.8 Key points
    • 8: Applications of Remote Sensing to Locust Management
      • Abstract
      • 8.1 Introduction
      • 8.2 Potential of remote sensing in locust monitoring
      • 8.3 Case study 1: using SPOT satellite images to evaluate the impact of habitat fragmentation on population dynamics of the red locust Nomadacris septemfasciata in the Sofia basin in Madagascar
      • 8.4 Case study 2: using Landsat satellite imagery to identify migratory locust Locusta migratoria oviposition sites in Central Asia
      • 8.5 Case study 3: estimation of the probability of presence of desert locust Schistocerca gregaria from satellite images of vegetation and historical ground data in Mauritania
      • 8.6 Conclusions
      • 8.7 Key points
      • 8.8 Acknowledgments
    • 9: Applications of Remote Sensing to the Epidemiology of Infectious Diseases: Some Examples
      • Abstract
      • 9.1 Introduction
      • 9.2 Hazard mapping: the distribution ranges and habitats of vector insects and reservoir hosts
      • 9.3 The contribution of remote sensing to the assessment of population vulnerability: health inequalities caused by social inequalities
      • 9.4 The contribution of remote sensing to the modeling of epidemiological dynamics on a global scale
      • 9.5 Prospects
      • 9.6 Key points
      • 9.7 Acknowledgments
    • Glossary
    • List of Authors
    • Index
    • Scientific Committee

Product details

  • No. of pages: 384
  • Language: English
  • Copyright: © ISTE Press - Elsevier 2016
  • Published: October 10, 2016
  • Imprint: ISTE Press - Elsevier
  • Hardcover ISBN: 9781785481055
  • eBook ISBN: 9780081012659

About the Editor

Nicolas Baghdadi

Nicolas Baghdadi is Research Director at IRSTEA in France. He is currently the scientific director of the French Land Data Centre (Theia).

Affiliations and Expertise

IRSTEA, France

About the Author

Mehrez Zribi

Mehrez Zribi is Director of Research at CNRS/France. He received Ph.D. degree in 1998 from the University of Toulouse, France. Since October 2008, he has been with the Centre d’Etudes Spatiales de la Biosphère, Toulouse. His research interests include land surface characterization for hydrology applications, remote sensing signal processing, and airborne microwave instrumentation. Mehrez Zribi has published 125 papers in peer-reviewed journals and has coordinated publication of 20 books about remote sensing for land surfaces. He serves as an editorial board member for several journals and coordinate several international and french research projects. He is deputy director of CESBIO laboratory.

Affiliations and Expertise

Director of Research, National Centre for Scientific Research (CNRS), France

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