Imagery and Gis : Best Practices for Extracting Information from Imagery

Imagery 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: Best Practices for Extracting Information from Imagery to obtain the most value from imagery in your own GIS projects.

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.