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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 - 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

    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 development of decision support tools for NGOs, public agencies, and private companies throughout the world. She is the coauthor with Russell G. Congalton of Assessing the Accuracy of Remotely Sensed Data: Principles and Practices (CRC Press, 2008 and upcoming).

    Dr. Russell G. Congalton is a professor of remote sensing and GIS at the University of New Hampshire. He has over 35 years' experience in teaching and researching geospatial technologies working for private industry, federal and state agencies, and academia. He has authored/coauthored more than 150 papers, 10 book chapters, and four books on geospatial analysis, including Assessing the Accuracy of Remotely Sensed Data: Principles and Practices (CRC Press, 2008 and upcoming), Meeting Environmental Challenges with Remote Sensing (American Geosciences Institute, 2013), and Quantifying Spatial Uncertainty in Natural Resources (Amazon Digital Services, 2007).

    Mark Tukman is the owner of Tukman Geospatial, based in Santa Rosa, California. He has more than 20 years' 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.


    "[A] treasure trove of insights into the entire process of incorporating imagery into GIS objectives." - Midwest Book Review

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