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Physical Principles of Remote Sensing

Physical Principles of Remote Sensing

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W G Rees
Cambridge University Press
Edition: 3, 11/29/2012
EAN 9780521181167, ISBN10: 052118116X

Paperback, 492 pages, 25.4 x 20.3 x 2.9 cm
Language: English

Fully updated and containing significant new material on photography, laser profiling and image processing, the third edition of this popular textbook covers a broad range of remote sensing applications and techniques across the Earth, environmental and planetary sciences. It focuses on physical principles, giving students a deeper understanding of remote sensing systems and their possibilities, while remaining accessible to those with less mathematical training by providing a step-by-step approach to quantitative topics. Boxed examples, additional photos and numerous colour images engage students and show them how the theory relates to the many real-world applications. Chapter summaries, review questions and additional problems allow students to check their understanding of key concepts and practise handling real data for themselves. Supplementary online material includes links to freely available software, animations, computer programs, colour images and other web-based resources of interest.

Preface
Acknowledgements
1. Introduction
2. Electromagnetic waves in free space
3. Interaction of electromagnetic radiation with matter
4. Interaction of electromagnetic radiation with the Earth's atmosphere
5. Photographic systems
6. Electro-optical systems
7. Passive microwave systems
8. Ranging systems
9. Scattering systems
10. Platforms for remote sensing
11. Data processing
Appendix
data tables
Bibliography
Index.

'This is a welcome new edition of a popular text, with wonderful color illustrations. The author has managed to help students digest the principles by adding useful summaries and review questions. A practical improvement for students and instructors is the addition of the rich suite of online resources, which greatly add to the book's appeal.' Farouk El-Baz, Director, Center for Remote Sensing, Boston University