Imagery and GIS: Best Practices for Extracting Information from Imagery shows how imagery can be integrated successfully into GIS maps and analysis.
Imagery and GIS: Best Practices for Extracting Information from Imagery shows how imagery can be integrated successfully into GIS maps and analysis.
Imagery and GIS, working together, expand our perspective so that we can better perceive and understand The Science of Where.
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.
to obtain the most value from imagery in your own GIS projects.
“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.”
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 SensingKass 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.
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