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Introduction to Remote Sensing by James B. Campbell

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This popular text introduces students to widely used forms of remote sensing imagery and their applications in plant sciences, hydrology, earth sciences, and land use analysis. Providing comprehensive coverage of principal topics in the field, the book's 4 sections and 21 chapters are carefully designed as independent units that instructors can select from as needed for their courses. Relevant case studies and review questions that reinforce the concepts presented in each chapter make this book essential reading for students in remote sensing. Illustrations include 28 color plates and nearly 400 black-and-white images and figures.

"The fourth edition of Introduction to Remote Sensing is a thorough and comprehensive description of fundamental issues in remote sensing, image acquisition alternatives, analytical approaches, and applications across the biophysical sciences. This well-referenced book addresses up-to-date issues and considerations that range from local to global scales, field to remote sensing observations and measurements, active to passive systems, fine to coarse-grained sensors, optical to non-optical systems, and traditional to cutting-edge data and methods. An excellent treatment of the field of remote sensing for the student, teacher, and practitioner."--Stephen J. Walsh, Department of Geography, University of North Carolina-Chapel Hill

"Introduction to Remote Sensing, Fourth Edition serves as an excellent reference for both students and professionals, providing comprehensive information about various aspects of this technology. Review questions at the end of each chapter reinforce important concepts and enhance the book's utility for the classroom. I would recommend this book as an essential resource for all remote sensing professionals."--Ramesh Sivanpillai, Wyoming Geographic Information Science Center and Department of Renew

4th edition, hardback, 2006, good condition, RRP $229.99

 

This product was added to our catalog on Sunday 30 January, 2011.
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