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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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.
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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