Introduction to Remote Sensing, Third Edition - Hardcover

Campbell PhD, James B.; Campbell, James B.

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9781572306400: Introduction to Remote Sensing, Third Edition

Synopsis

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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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.

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Preface List of Tables List of Figures List of Plates PART I. FOUNDATIONS 1. History and Scope of Remote Sensing 2. Electromagentic Radiation PART II. IMAGE ACQUISITION 3. Photographic Sensors 4. Digital Data 5. Image Interpretation 6. Land Observations Satellites 7. Active Microwave and Lidar 8. Thermal Radiation 9. Image Resolution PART III. ANALYSIS 10. Preprocessing 11. Image Classification 12. Field Data 13. Accuracy Assessment 14. Hyperspectral Remote Sensing PART IV. APPLICATIONS 15. Geographic Information Systems 16. Plant Sciences 17. Earth Sciences 18. Hydrospheric Sciences 19. Land Use and Land Cover 20. Global Remote Sensing Index About the Author

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