This edition uses real examples and works through the mathematics of remote sensing to demonstrate important quantitative principles in the field. Coverage includes non-photographic sensors, digital data and global remote sensing.
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Book Description
Editorial Reviews
Review
"Introduction to Remote Sensing, 2nd Edition, covers image acquisition, analysis, and applications at a level suitable for the upper level undergraduate student. With some additional material added by the instructor, it can also serve as the basis for a graduate level course. Included in the book are numerous sources of remote sensing data (phone numbers, Internet addresses, and world wide web addresses).
"This textbook provides an excellent foundation in the physics of remote sensing and accomplishes this without resorting to advanced mathematics, making this book especially useful in an introductory courses.
"The author has an excellent writing styles and the text is very easy to read. His wide experience in the diverse topics involved in remote sending is very evident in his excellent summary of the status of applied remote sensing in each discipline of the Earth sciences. This textbook is unique in that it focuses on analysis and applications, covering all the earth sciences (plant sciences, geosciences, hydrologic sciences, land use, and global biogeochemical processes). It also includes several topics not usually found in remote sensing textbooks: preprocessing, image classification, field data, accuracy assessment, and timely topics such as hyperspectral remote sensing, and geographic information systems (GIS)." --David E. Pitts, D.Engr, Adjunct Professor, Natural and Applied Sciences, University of Houston-Clear Lake
"The much-anticipated second edition of James Campbell's text Introduction to Remote Sensing is, by every measure, a winner. Instructors will find the book to be comprehensive, well illustrated, and up-to-date. Students will find it good reading, and will profit from the review questions provided at the end of every chapter, as well as the real-world case studies (e.g., the Corn Blight Watch) and exercises (e.g. taking your own infrared and stereo photographs) scattered throughout the volume. Campbell provides an excellent overview of the field of remote sensing, covering the fundamentals of image acquisition and data analysis, and giving particular attention to image interpretation and analysis strategies. Important topics such as image resolution, accuracy assessment, collection and use of field data, and remote sensing/GIS interrelationships are each treated in an entire chapter. There is even a brief introduction to the use of the Internet and the World Wide Web in remote sensing. The book concludes with a series of exceptionally well-conceived and well-presented chapters on applications of remote sensing in land use mapping, and in the geological, hydrological, and biological sciences. Introduction to Remote Sensing is an outstanding text and a significant contribution to the teaching of remote sensing. Highly recommended!" --James W. Merchant, Ph.D., Associate Professor and Associate Director, Center for Advanced Land Management Information Technologies, University of Nebraska-Lincoln
FEEDBACK FROM INSTRUCTOR SURVEY:
"I have, over the years, used a number of different texts on remote sensing, including a more rigorous engineering-based text. Campbell's book is the one I like the best....I like his writing style and feel that the book is generally easy to read and follow."
"I have used and will continue to use Campbell's book. I like it--it presents materials that I need to have for my courses."
"...clearly written and well organized." --D. J. Campagna, College of William and Mary. Choice
"This textbook provides an excellent foundation in the physics of remote sensing and accomplishes this without resorting to advanced mathematics, making this book especially useful in an introductory courses.
"The author has an excellent writing styles and the text is very easy to read. His wide experience in the diverse topics involved in remote sending is very evident in his excellent summary of the status of applied remote sensing in each discipline of the Earth sciences. This textbook is unique in that it focuses on analysis and applications, covering all the earth sciences (plant sciences, geosciences, hydrologic sciences, land use, and global biogeochemical processes). It also includes several topics not usually found in remote sensing textbooks: preprocessing, image classification, field data, accuracy assessment, and timely topics such as hyperspectral remote sensing, and geographic information systems (GIS)." --David E. Pitts, D.Engr, Adjunct Professor, Natural and Applied Sciences, University of Houston-Clear Lake
"The much-anticipated second edition of James Campbell's text Introduction to Remote Sensing is, by every measure, a winner. Instructors will find the book to be comprehensive, well illustrated, and up-to-date. Students will find it good reading, and will profit from the review questions provided at the end of every chapter, as well as the real-world case studies (e.g., the Corn Blight Watch) and exercises (e.g. taking your own infrared and stereo photographs) scattered throughout the volume. Campbell provides an excellent overview of the field of remote sensing, covering the fundamentals of image acquisition and data analysis, and giving particular attention to image interpretation and analysis strategies. Important topics such as image resolution, accuracy assessment, collection and use of field data, and remote sensing/GIS interrelationships are each treated in an entire chapter. There is even a brief introduction to the use of the Internet and the World Wide Web in remote sensing. The book concludes with a series of exceptionally well-conceived and well-presented chapters on applications of remote sensing in land use mapping, and in the geological, hydrological, and biological sciences. Introduction to Remote Sensing is an outstanding text and a significant contribution to the teaching of remote sensing. Highly recommended!" --James W. Merchant, Ph.D., Associate Professor and Associate Director, Center for Advanced Land Management Information Technologies, University of Nebraska-Lincoln
FEEDBACK FROM INSTRUCTOR SURVEY:
"I have, over the years, used a number of different texts on remote sensing, including a more rigorous engineering-based text. Campbell's book is the one I like the best....I like his writing style and feel that the book is generally easy to read and follow."
"I have used and will continue to use Campbell's book. I like it--it presents materials that I need to have for my courses."
"...clearly written and well organized." --D. J. Campagna, College of William and Mary. Choice
"This book would serve well in most upper-level undergraduate courses and as a beginning text at the graduate level. To assist students and instructors, each chapter is followed by 10 to 15 helpful review questions." --Science Books & Films
About the Author
James B. Campbell, Ph.D., is Professor and Head of the Department of Geography at Virginia Tech, where he teaches courses in remote sensing and in physical geography. His research in these fields has been reported in numerous publications and supported by varied academic, governmental, and private organizations. Within the university, he has been active in support of related fields, including agronomy, geology, forestry, environmental sciences, and planning.
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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!!!!!,
By
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, land observation satellites, photomorphic regions, digital remote sensing data, nonphotographic sensors, radiometric detail, manual image interpretation, real aperture systems, several spectral channels, global remote sensing, hyperspectral remote sensing, spectral subclasses, hyperspectral data, spectral categories, lidar data, multidimensional data space, integrated terrain units, geobotanical studies, geographic reference system, informational classes, composite signatures, parallelepiped classifier, informational categories, coverage cycle, lineament analysis Key Phrases - Capitalized Phrases (CAPs): (learn more)
Photogrammetric Engineering, United States, New York, Remote Sensing of Environment, Geological Survey, American Society of Photogrammetry, Ann Arbor, Data Center, International Symposium, Falls Church, Jet Propulsion Laboratory, Photographic Sensors, Soviet Union, Goddard Space Flight Center, Hydrospheric Sciences, North America, Air Force, World War, Environmental Research Institute of Michigan, University of Michigan, Government Printing Office, Space Imaging, Association of American Geographers, Forest Service, Department of Agriculture New!
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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, land observation satellites, photomorphic regions, digital remote sensing data, nonphotographic sensors, radiometric detail, manual image interpretation, real aperture systems, several spectral channels, global remote sensing, hyperspectral remote sensing, spectral subclasses, hyperspectral data, spectral categories, lidar data, multidimensional data space, integrated terrain units, geobotanical studies, geographic reference system, informational classes, composite signatures, parallelepiped classifier, informational categories, coverage cycle, lineament analysis Key Phrases - Capitalized Phrases (CAPs): (learn more)
Photogrammetric Engineering, United States, New York, Remote Sensing of Environment, Geological Survey, American Society of Photogrammetry, Ann Arbor, Data Center, International Symposium, Falls Church, Jet Propulsion Laboratory, Photographic Sensors, Soviet Union, Goddard Space Flight Center, Hydrospheric Sciences, North America, Air Force, World War, Environmental Research Institute of Michigan, University of Michigan, Government Printing Office, Space Imaging, Association of American Geographers, Forest Service, Department of Agriculture 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 71
books:
See all 71 books this book cites
- Remote Sensing: Symposium Proceedings by G. K. C. Pardoe on 21 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 (Survey report) by Richrd R. Miller on 4 pages
- Remote Sensing: Technique for Environmental Analysis by John E. Estes on 4 pages
See all 71 books this book cites
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