A leading text for undergraduate- and graduate-level courses, this book introduces widely used forms of remote sensing imagery and their applications in plant sciences, hydrology, earth sciences, and land use analysis. The text provides comprehensive coverage of principal topics and serves as a framework for organizing the vast amount of remote sensing information available on the Web. Including case studies and review questions, the book's four sections and 21 chapters are carefully designed as independent units that instructors can select from as needed for their courses. Illustrations include 29 color plates and over 400 black-and-white figures.
New to This Edition*Reflects significant technological and methodological advances.*Chapter on aerial photography now emphasizes digital rather than analog systems.*Updated discussions of accuracy assessment, multitemporal change detection, and digital preprocessing.*Links to recommended online videos and tutorials.
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"This text is irreplaceable and has stood the test of time. It is a godsend for my remote sensing classes; students are guided by the book's logical structure, authoritative writing, liberal use of examples, and clear illustrations. The fifth edition offers an excellent opportunity to brush up on the rapidly changing face of remote sensing, as underlined by a separate chapter on change detection."--Victor Mesev, Department of Geography, Florida State University
"Introduction to Remote Sensing deserves its excellent reputation as one of the preeminent textbooks for undergraduate courses in remote sensing and image processing. It has proven very economical for my students as I can use it in complementary courses on introductory remote sensing and image processing. Like prior editions, the fifth edition provides students with critical information on how to design and conduct a remote sensing project, including acquisition of field data. Comprehensive and up to date, this is an essential text for our dynamic discipline."--Paul Treitz, Department of Geography, Queen’s University, Canada
"The fifth edition of this outstanding text maintains the high standards that faculty and students have enjoyed in previous editions. It provides one of the best-organized, most accessible treatments available. The inclusion of extensive references and, especially, additional learning resources easily enables instructors to explore topics in more depth as desired. I am particularly impressed with how Campbell and Wynne have admirably met the challenge of keeping the text up to date with respect to new analytical methods, always a challenge in this ever-changing field. The full section on change detection is another welcome addition."--Rick L. Lawrence, Department of Land Resources and Environmental Sciences, Montana State University
"Introduction to Remote Sensing is the cornerstone of the reading list for my undergraduate environmental remote sensing course. The book is structured to have a clear and logical progression that guides students into the subject and builds a comprehensive knowledge base. Each chapter is highly informative, providing information that is easy to digest and fully contextualized with relevant examples and suitable illustrations. The revised questions at the end of each chapter provide an excellent opportunity for reflective learning. Overall, this book is an essential read for my students which has proven over the years to stand them in good stead."--Ross Hill, School of Applied Sciences, Bournemouth University, United Kingdom
"This well-established introductory textbook covers all aspects of classical remote sensing, from basic physics and image acquisition to analytic techniques and applications in a wide range of areas. Given the continued rapid development of remote sensing--for example, the increased use of satellite imagery, digital cameras, and Lidar--the publication of the fifth edition is timely. As a teacher, I find the list of relevant Web addresses after most chapters to be especially valuable."--Håkan Olsson, Department of Forest Research Management, Swedish University of Agricultural Sciences
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