A new book from Esri Press has been released: Imagery and GIS: Best Practices for Extracting Information from Imagery. The book introduces readers to using remote sensing and imagery and how to use that data with GIS.
Imagery is at the heart of GIS technology, providing most of the data in maps. The data comes in the form of aerial photos, thermal and satellite images, digital elevation models, and scanned maps. Imagery and GIS: Best Practices for Extracting Information from Imagery shows how imagery can be integrated into a GIS for mapping and analysis. Readers will learn how to select the correct imagery for their GIS projects, conduct image analysis, efficiently manage and serve imagery datasets, and accurately extract information from imagery. Chapters cover topics such as imagery collection and processing, digital elevation models (DEMs), data exploration, image classification, and change analysis. Helpful resources in the book include case studies, along with a section on acronyms and a glossary of imagery; remote sensing; and GIS terms.
The book is co-authored by Kass Green, Russell G. Congalton, and Mark Tukman. Green is president of Kass Green & Associates, a firm in Berkeley, California. Congalton is a professor of remote sensing and GIS at the University of New Hampshire. Tukman is owner of Tukman Geospatial, a Santa Rosa, California-based company that offers remote sensing and GIS services.
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Imagery and GIS: Best Practices for Extracting Information from Imagery is available in print (ISBN: 9781589484542, 418 pages, US$99.99) and as an e-book (ISBN: 9781589484894, 418 pages, US$99.99).
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