Description
Book SynopsisImagery and GIS, working together, expand our perspective so that we can better perceive and understand The Science of Where™.
Today, most maps include imagery in the form of aerial photos, satellite images, thermal images, digital elevation models, and scanned maps.
Imagery and GIS: Best Practices for Extracting Information from Imagery shows how imagery can be integrated successfully into GIS maps and analysis. In this essential reference, discover how imagery brings value to GIS and how GIS can be used to derive value from imagery. Learn from case studies and in-depth explanations about selecting the right imagery, image analysis, how to efficiently manage and serve imagery datasets, and how to accurately extract information from imagery. The authors’ experience working together on numerous research, teaching, and operational remote sensing and GIS applications bestow the book with both the newest innovations, as well as proven advice.
Apply the best practices found in
Imagery and GIS to obtain the most value from imagery in your own GIS projects.
Trade ReviewImagery and GIS is a well-rounded and approachable introductory remote sensing textbook clearly written with GIS users and community in mind. The quality of the book both in content and printing (e.g., color figures and fonts) combined with an excellent glossary and index, all at an affordable price, make it a very appealing textbook or reference.
--Benjamin W. Heumann, Ph.D., Assistant Professor, Department of Geography, Central Michigan University, Mt. Pleasant, Michigan.
Photogrammetric Engineering & Remote Sensing Vol. 85, No. 3, March 2019, pp. 161–162.
* Photogrammetric Engineering & Remote Sensing *
"[A] treasure trove of insights into the entire process of incorporating imagery into GIS objectives." - Midwest Book Review
Table of Contents
- Chapter 1 Introduction to imagery
- Chapter 2 Thinking about imagery
- Chapter 3 Imagery fundamentals
- Chapter 4 Choosing and accessing the right imagery
- Chapter 5 Working with imagery
- Chapter 6 Imagery processing: Controlling unwanted variation in the imagery
- Chapter 7 Understanding variation on the ground - the importance of the classification scheme
- Chapter 8 Digital elevation models
- Chapter 9 Data exploration: Tools for linking variation in the imagery to variation on the ground
- Chapter 10 Image classification
- Chapter 11 Change analysis
- Chapter 12 Accuracy assessment
- Chapter 13 Publishing and serving imagery
- Chapter 14 Concluding thoughts
- Glossary
- Bibliography
- Image credits
- Index
