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Imagery and GIS
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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
Chapter 8 Tools for linking variation in the imagery to variation on the ground
Chapter 9 Image analysis
Chapter 10 Change detection
Chapter 11 Accuracy assessment
Chapter 12 Publishing and serving imagery
Chapter 13 Final considerations and conclusions
Glossary
Index

About the Author

Kass Green’s more than 30-year career in remote sensing and GIS spans innovative research, multiscale and multisensor mapping projects, strategic planning, policy analysis, and the development of decision support tools for NGO’s, public agencies and private companies throughout the world. Dr. Russell G. Congalton is a professor of remote sensing and GIS at the University of New Hampshire. He has more than 35 years of experience in teaching and researching geospatial technologies working for private industry, federal and state agencies, and academia. He has authored over 150 papers, 10 book chapters, and four books on geospatial analysis. Mark Tukman is the owner of Tukman Geospatial, based in Santa Rosa, California. He has more than 20 years of experience using imagery and other datasets to help public and private organizations map land cover, make decisions using spatial data, and support land conservation efforts.

Reviews

Imagery 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

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