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Comprehensive Remote Sensing
- 1st Edition - November 8, 2017
- Editor: Shunlin Liang
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 8 0 3 2 2 0 - 6
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 0 3 2 2 1 - 3
Comprehensive Remote Sensing, Nine Volume Set covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researche… Read more
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Request a sales quoteComprehensive Remote Sensing, Nine Volume Set covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists.
Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications.
- Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications
- Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts
- Ideal for advanced undergraduates and academic researchers
- Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding
Doctoral researchers and advanced undergraduates in the fields of geography, environmental science, physics and information technology. Each chapter provides both introductory concepts and also extensive review of the latest development in the field
- No. of pages: 3134
- Language: English
- Edition: 1
- Published: November 8, 2017
- Imprint: Elsevier
- Hardback ISBN: 9780128032206
- eBook ISBN: 9780128032213
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