Now in its revised and updated third edition, this comprehensive introductory text presents a timely overview of the most widely used forms of remote sensing imagery and their applications in plant sciences, hydrology, earth sciences, and land-use analysis. The third edition features new coverage of lidar technology, radar interferometry, and the present generation of satellite sensors, as well as other topics of current significance. Integrating knowledge from the many fields that contribute to remote sensing, the text is richly illustrated with 28 color plates and more than 380 black-and-white images and figures.
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Book Description
Editorial Reviews
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"Introduction to Remote Sensing, Third Edition, continues to be one of the most complete textbooks available on remote sensing. Campbell covers all relevant topics, including aerial photography and all of the non-film-based sensors, as well as photogrammetric, visual, and digital analysis procedures. There are also chapters on GIS, accuracy assessment, and field data collection. Extremely well written, the book has excellent and extensive illustrations and images, good references, and a logical organization. It is easily understood yet comprehensive. This text is suitable not only for undergraduates or graduates in the natural and social sciences, but also for those in engineering and related fields. It could be used in its entirety in an overview course or sections could be selected for more focused courses. This is an excellent addition to available remote sensing texts."--Barry N. Haack, Department of Geography, George Mason University, Fairfax, Virginia
"Now in a revised and updated third edition, Introduction to Remote Sensing is a rigorous and inviting text. Its outstanding features include instructive illustrations, color graphics, and review questions. The core knowledge of the field is covered with a complementary blend of theory, analysis, and applications. Augmenting the solid foundation laid out in previous editions, the third edition contains updated content on hyperspectral sensing, satellite platforms and sensors, and data sources. Several chapters on applications provide an excellent means to truly appreciate the breadth and utility of remote sensing. This book is an excellent, comprehensive resource for those teaching, learning, or trying to keep up with changes in the field."--Thomas R. Allen, Department of Political Science and Geography, Old Dominion University
"This third edition of Campbell's excellent book provides college students and others with a timely overview of the latest innovations in the rapidly changing field of remote sensing. It covers the foundations of this important spatial technology field and the diversity of analysis approaches. Students gain a solid understanding of current applications as well as key principles to help them analyze future developments. Whether in biology, geography, geology, land use or natural resource management, this text is designed to meet a broad, multidisciplinary range of student backgrounds and interests."--M. Duane Nellis, PhD, Dean of Arts and Sciences and Professor of Geography, West Virginia University
"Now in a revised and updated third edition, Introduction to Remote Sensing is a rigorous and inviting text. Its outstanding features include instructive illustrations, color graphics, and review questions. The core knowledge of the field is covered with a complementary blend of theory, analysis, and applications. Augmenting the solid foundation laid out in previous editions, the third edition contains updated content on hyperspectral sensing, satellite platforms and sensors, and data sources. Several chapters on applications provide an excellent means to truly appreciate the breadth and utility of remote sensing. This book is an excellent, comprehensive resource for those teaching, learning, or trying to keep up with changes in the field."--Thomas R. Allen, Department of Political Science and Geography, Old Dominion University
"This third edition of Campbell's excellent book provides college students and others with a timely overview of the latest innovations in the rapidly changing field of remote sensing. It covers the foundations of this important spatial technology field and the diversity of analysis approaches. Students gain a solid understanding of current applications as well as key principles to help them analyze future developments. Whether in biology, geography, geology, land use or natural resource management, this text is designed to meet a broad, multidisciplinary range of student backgrounds and interests."--M. Duane Nellis, PhD, Dean of Arts and Sciences and Professor of Geography, West Virginia University
About the Author
updated 1/02 for 3rd edition
James B. Campbell, PhD, is Professor and Head of the Department of Geography at Virginia Tech, where he teaches courses in remote sensing, quantitative methods, and physical geography. He has worked closely with students and faculty in related fields, such as forestry, geology, agronomy, environmental sciences, and planning. The author of numerous technical articles and several books, Dr. Campbell received the Outstanding Service Award of the American Society for Photogrammetry and Remote Sensing in 1994 and its Fellow Award in 1996. In 1997 he received the Outstanding Service Medal awarded by the Remote Sensing Specialty Group of the Association of American Geographers. Dr. Campbell's research has been sponsored by numerous academic, governmental, and private organizations, including NASA, the National Science Foundation, and United States Geological Survey.
James B. Campbell, PhD, is Professor and Head of the Department of Geography at Virginia Tech, where he teaches courses in remote sensing, quantitative methods, and physical geography. He has worked closely with students and faculty in related fields, such as forestry, geology, agronomy, environmental sciences, and planning. The author of numerous technical articles and several books, Dr. Campbell received the Outstanding Service Award of the American Society for Photogrammetry and Remote Sensing in 1994 and its Fellow Award in 1996. In 1997 he received the Outstanding Service Medal awarded by the Remote Sensing Specialty Group of the Association of American Geographers. Dr. Campbell's research has been sponsored by numerous academic, governmental, and private organizations, including NASA, the National Science Foundation, and United States Geological Survey.
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Most Helpful Customer Reviews
15 of 15 people found the following review helpful:
5.0 out of 5 stars
A complete giude to Remote Sensing Practices and Techniques,
By A Customer
This review is from: Introduction to Remote Sensing: Second Edition (Hardcover)
"Introduction to Remote Sensing" by James Campbell covers Remote Sensing, past and present, from one end of the spectrum to the other. Head of the Geography Department at Virginia Tech, his book shows all of the new technology and image processing required for todays sensors. It has excellent illustrations and charts to get the point across easily for a very difficult subject. Complete and up to date, Campbell discusses the new wave of remote sensing, image classification, plant sciences, earth sciences, gps, hyperspectral data, the history of satellites, radiation and cartography. And most of all, how to apply it accurately.
0 of 1 people found the following review helpful:
5.0 out of 5 stars
very gooooooodddd!!!!!,
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Amazon Verified Purchase(What's this?)
This review is from: Introduction to Remote Sensing: Second Edition (Hardcover)
Thank you for this wonderful book. It is great and I can make a use out of it in my remote sensing class. Good job!!!
0 of 11 people found the following review helpful:
3.0 out of 5 stars
I wonder?,
By Göksel TÜRK "g. turk" (Turkey) - See all my reviews
This review is from: Introduction to Remote Sensing, Third Edition (Hardcover)
There is a reference to my GT-INDEX in 2nd edition, at chap. 13/Accuracy assessment. However, my GT-Index is not a so-called chance corrected accuracy index. It is the first and only index for measuring the identifying power of classifier. GT-Index is an estimate of the CONDITIONAL PROBABILITY of CORRECT CLASSIFICATION for a given Ground Truth category by RS classifier.
I critized the use of so-called "chance corrected accuracy indices" such as Kappa, Tau etc. by 2 letters to editors in 2002 (PE&RS, Feb. 2002 and RSE, Sep. 2002). I did not have a chance to see it the 3rd yet. I wonder how this issues and my GT-INDEX are handled in this edition. If these issues are not considered I will give only 3 stars, but a correct discussion of them will surely make 5 stars. So, my staring is tentative. Göksel TÜRK Özler Sitesi AB Blok D:1, Isparta, TURKEY
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Inside This Book
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First Sentence:
A picture is worth a thousand words. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
soil brightness line, nonphotographic sensors, digital remote sensing data, radiometric detail, real aperture systems, manual image interpretation, several spectral channels, land observation satellites, multidimensional data space, spectral subclasses, hyperspectral data, hyperspectral remote sensing, lidar data, spectral categories, geobotanical studies, geographic reference system, informational classes, parallelepiped classifier, informational categories, digital analyses, stereoscopic parallax, coverage cycle, lineament analysis, mixed pixels, geological remote sensing Key Phrases - Capitalized Phrases (CAPs): (learn more)
Photogrammetric Engineering, New York, United States, Remote Sensing of Environment, Geological Survey, American Society of Photogrammetry, Ann Arbor, Data Center, International Symposium, Falls Church, Jet Propulsion Laboratory, Soviet Union, Goddard Space Flight Center, North America, Air Force, World War, Environmental Research Institute of Michigan, University of Michigan, Association of American Geographers, Earth Explorer, Government Printing Office, Space Imaging, Forest Service, Department of Agriculture, New Orleans New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
A picture is worth a thousand words. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
soil brightness line, nonphotographic sensors, digital remote sensing data, radiometric detail, real aperture systems, manual image interpretation, several spectral channels, land observation satellites, multidimensional data space, spectral subclasses, hyperspectral data, hyperspectral remote sensing, lidar data, spectral categories, geobotanical studies, geographic reference system, informational classes, parallelepiped classifier, informational categories, digital analyses, stereoscopic parallax, coverage cycle, lineament analysis, mixed pixels, geological remote sensing Key Phrases - Capitalized Phrases (CAPs): (learn more)
Photogrammetric Engineering, New York, United States, Remote Sensing of Environment, Geological Survey, American Society of Photogrammetry, Ann Arbor, Data Center, International Symposium, Falls Church, Jet Propulsion Laboratory, Soviet Union, Goddard Space Flight Center, North America, Air Force, World War, Environmental Research Institute of Michigan, University of Michigan, Association of American Geographers, Earth Explorer, Government Printing Office, Space Imaging, Forest Service, Department of Agriculture, New Orleans New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 70
books:
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61
books
cite this book:
See all 61 books citing this book
- Remote Sensing: Symposium Proceedings by G. K. C. Pardoe on 23 pages
- Manual of remote sensing by Robert N. Colwell on 7 pages
- Remote Sensing of Environment by Joseph, Jr. Lintz on 6 pages
- Remote Sensing: Technique for Environmental Analysis by John E. Estes on 4 pages
- Remote Sensing (Survey report) by Richrd R. Miller on 4 pages
See all 70 books this book cites
- Introductory Remote Sensing Digital Image Processing and Applications by Paul Gibson on 4 pages
- Introductory Remote Sensing Principles and Concepts by Paul Gibson on 4 pages
- Remote Sensing and GIS Accuracy Assessment (Mapping Science) by Ross S. Lunetta on page 2, page 19, and page 187
- Maps and Related Cartographic Materials: Cataloging, Classification, and Bibliographic Control (Monograph Published Simultaneously As Cataloging & Classification Quarterly) by Paige G. Andrew on page 167, page 174, and page 220
- Introductory Remote Sensing Principles and Concepts by Paul Gibson on page 57, page 150, and Back Matter
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