Imagery and GIS: Best Practices for Extracting Information from Imagery
| Author | : | |
| Rating | : | 4.49 (969 Votes) |
| Asin | : | 1589484541 |
| Format Type | : | paperback |
| Number of Pages | : | 400 Pages |
| Publish Date | : | 2014-06-09 |
| Language | : | English |
DESCRIPTION:
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. He has more than 20 years of experience using imagery and other datasets to help public and private organizations map land cover, make decisi
The authors share practical considerations and lessons learned from real world applications. Plus readers will learn how to efficiently manage and serve imagery datasets. The basis for most maps is imagery. Imagery and GIS: Best Practices for Extracting Information from Imagery shows how imagery can be integrated successfully into maps and GIS projects. Readers will learn how GIS can be used to derive value from imagery through enhanced visualizations and extraction and analysis of information. With more than 200 full-color illustrations, th
Congalton is a professor of remote sensing and GIS at the University of New Hampshire. 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 the development of decision support tools for NGO’s, public agencies and private companies throughout the world.Dr. He has more than 35 years of experience in teaching and researching geospatial technologies working for private industry, federal and state agencies, and academia. . Russell G. 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 conserva