Buch, Englisch, 212 Seiten, Format (B × H): 194 mm x 253 mm, Gewicht: 735 g
Principles and Concepts
Buch, Englisch, 212 Seiten, Format (B × H): 194 mm x 253 mm, Gewicht: 735 g
ISBN: 978-0-415-17024-6
Verlag: Taylor & Francis Ltd
Introduction to Remote Sensing: Digital Image Processing and Applications presents a unique textbook/downloadable resources package. It explains how digital images can be processed and offers practical hands-on experience of image processing. This package, which is ideal for student self-study, institutional or library purchase, shows how digital images can be processed to maximize information output and discusses a range of environmental monitoring techniques. A range of case studies are explored, drawn from a variety of disciplines and from across the world. The book also includes a practical manual of image processing instruction and detailed practical exercises to support the unique downloadable resources which accompanies the book.
The downloadable resources contain fully functioning image processing software - a limited edition of DRAGON software developed specifically for readers of Introductory Remote Sensing - and over 70 satellite digital datasets for 9 scenes across America, Ireland, China, Sudan, Peru, Western Europe and the UK.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part I: Cooperative Education and Internships in Context. A. Howard, Cooperative Education and Internships at the Threshold of the Twenty-First Century. P.L. Linn, Theories About Learning and Development in Cooperative Education and Internships. Part II: Beginning Phase of Research Projects. G. Grosjean, Getting Started and Achieving Buy-In: Co-op Education Is Continuous, Contextualized Learning. F. Ricks, Identifying Resources: Ethics in Cooperative Education. C. Eames, Researching in Cooperative Education: How a Practitioner Met the Challenge. Part III: Methods and Analysis. P.L. Linn, Combining Quantitative and Qualitative Data: A Lifespan Study of Cooperative Education. G. Van Gyn, Choosing a Research Instrument: Investigating the Benefits of Cooperative Education. P. Gochenauer, A. Winter, Analyzing Data With Statistics: Business Internship Effects on Postgraduate Employment. N. Johnston, N. Angerilli, N. Gajdamaschko, How to Measure Complex Learning Processes: The Nature of Learning in Cooperative Education. M.L. Maynard, Correlation Analysis in a Natural Experiment Design: Seeking the Opportune Grade Point Average Cutoff for Internships. A. Howard, T. Haugsby, Issues in Case Study Methodology: Examining the Influences of Class Status on Cooperative Education Experiences. Part IV: Dissemination, Use, and Application. N. Fogg, M. Putnam, Considering the Needs of Different Stakeholders: The Impact of Co-op Job Quality on Post-Graduation Earnings. M. Mayo, Program Evaluation in a Business Environment: An Employer's Journey With Cooperative Education. B.K. Baker, Dissemination of Research to Reform Practice: Fishing (and Lawyering) to Learn. P.M. Rowe, Writing for Publication: Preparation of the Research Report. Part V: Overriding Considerations. R.K. Tener, Using Theory in Research I: Understanding the Learning Experienced in Structured Internships in Construction Engineering. E. Miller, Using Theory in Research II: Atypical Cross-Cultural Experiences That Lead to Growth. C. Cates, B. LeMaster, Program Assessment I: A Focused Approach to Measuring Learning Outcomes. G. Lee-Thomas, A. Anderson, Program Assessment II: Cooperative Education Objectives Nestled in ABET EC2000 Criterion 3: a-k. A. Howard, Ethical Issues in Experimental and Qualitative Research. Part VI: Implications for Research and Practice. P.L. Linn, E. Miller, Implications for Research and Practice.
