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OverviewImagery 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. Full Product DetailsAuthor: Kass Green , Russell G. Congalton , Mark TukmanPublisher: ESRI Press Imprint: ESRI Press ISBN: 9781589484542ISBN 10: 1589484541 Pages: 418 Publication Date: 11 January 2018 Audience: General/trade , General Replaced By: 9781589486287 Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsChapter 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 IndexReviewsImagery 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 [A] treasure trove of insights into the entire process of incorporating imagery into GIS objectives. - Midwest Book Review 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 Author InformationKass 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. Tab Content 6Author Website:Countries AvailableAll regions |