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    Remote Sensing of Vegetation: Principles, Techniques, and Applications (Paperback) By (author) Hamlyn G. Jones, By (author) Robin A. Vaughan

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    DescriptionRemote sensing is becoming an increasingly important tool for agriculturalists, ecologists, and land managers for the study of Earth's agricultural and natural vegetation, and can be applied to further our understanding of key environmental issues, including climate change and ecosystem management. This timely introduction offers an accessible yet rigorous treatment of the basics of remote sensing at all scales, illustrating its practical application to the study of vegetation. Despite a quantitative approach, the advanced mathematics and complex models common in modern remote sensing literature is demystified through clear explanations that emphasise the key underlying principles, and the core physical aspects are explained in the biological context of vegetation and its adaptation to its specific environment. Various techniques and instruments are addressed, making this a valuable source of reference, and the advantages and disadvantages of these are further illustrated through worked examples and case studies. * Rigorous physical and mathematical principles presented in a way readily understood by those without a strong mathematical background * Boxes throughout summarize key information and concepts * The student is directed to carefully chosen further reading articles, allowing them to explore key topics in more detail Online Resource Centre The Online Resource Centre to accompany Remote Sensing of Vegetation features: For Students: * Links to useful websites For lecturers: * Figures from the book in electronic format, ready to download


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  • Full bibliographic data for Remote Sensing of Vegetation

    Title
    Remote Sensing of Vegetation
    Subtitle
    Principles, Techniques, and Applications
    Authors and contributors
    By (author) Hamlyn G. Jones, By (author) Robin A. Vaughan
    Physical properties
    Format: Paperback
    Number of pages: 384
    Width: 189 mm
    Height: 248 mm
    Thickness: 23 mm
    Weight: 887 g
    Language
    English
    ISBN
    ISBN 13: 9780199207794
    ISBN 10: 0199207798
    Classifications

    Nielsen BookScan Product Class 3: S8.9T
    BIC E4L: GEO
    BIC subject category V2: RGB
    Ingram Subject Code: SE
    Libri: I-SE
    BIC subject category V2: RGM
    Warengruppen-Systematik des deutschen Buchhandels: 26630
    BISAC V2.8: SCI030000
    BIC subject category V2: RGW
    DC22: 621.3678
    BIC subject category V2: TTBM
    LC subject heading: , , ,
    Thema V1.0: TTBM, RGW, RGM, RGB
    Illustrations note
    150 B&W line, 16 page plate section
    Publisher
    Oxford University Press
    Imprint name
    Oxford University Press
    Publication date
    10 September 2010
    Publication City/Country
    Oxford
    Author Information
    Robin Vaughan moved to the University of Dundee in 1965 as a solid state physicist and in 1991 was appointed senior lecturer in the Electronic Engineering and Physics Division. In 1995 he was elected a Fellow of the Remote sensing Society. He has written numerous books and articles and is now course director of the Dundee MSc course on Remote Sensing, Image Processing and Applications.
    Review quote
    Remote Sensing of Vegetation: Principles, Techniques, and Applications is a very welcome contribution as an introductory textbook for advanced undergraduates, graduate students, and autodidacts...Jones and Vaughan provide an excellent introduction to a growing transdisciplinary field of inquiry and practiceone that should find its way into many a syllabus. Geoffrey M. Henebry, BioScience
    Table of contents
    PREFACE ; LIST OF SYMBOLS AND ABBREVIATIONS ; 1. Introduction ; 2. Basics of radiation physics for remote sensing of vegetation ; 3. Radiative properties of vegetation, soils and water ; 4. Plant and canopy function ; 5. Earth observation systems ; 6. Preparation and manipulation of optical data ; 7. Use of spectral information for sensing vegetation properties and for image classification ; 8. Multiangular sensing of vegetation structure and modelling of radiation-transfer properties ; 9. Remote sensing of canopy mass and heat exchanges ; 10. Sampling, error and scaling ; 11. Integrated applications ; REFERENCES ; APPENDICES ; ANSWERS TO SAMPLE PROBLEMS ; INDEX