GIS Technology Applications in Environmental and Earth Sciences

"This book was well written by an outstanding interdisciplinary expert with a long and successful career. It uses many case studies to explain how spatial technologies can be utilized to understand and solve problems in a variety of scientific fields. Different from other books, the case studies in this book were selected from the impressively large number of real-world projects the author worked worldwide, e.g. the demolition of the chemical weapons in Libya, reported by The New York Times. It is an excellent reference book suitable for a wide range of readers who are interested in GIS, environmental science, geology, resource management, civil engineering, planning, and many more. Besides its rich contents in technologies, this book is also inspiring spiritually, especially for students and young professionals." —Mary Lee, Emory University, Atlanta, Georgia, USA "GIS Technology Applications in Environmental and Earth Sciences is a valuable resource. Bai Tian has a solid history and vast experience in these fields. Bai Tian’s academic and professional career has given him a wellspring of knowledge in the world of GIS and Earth Science. His book provides a source for useful information on the topics. As well as real-world applications used in variety of professional projects from the industry. This is not just theory; this is how GIS is used for Environmental Remediation. Many important topics are covered such as efficient and proper field data collection techniques. The amount of case studies within the book related to professional level projects with industry proven results is priceless. This is a wonderful book and a must have for students and professionals alike!" — Matthew Scheuer, Parsons, Atlanta, Georgia, USA "GIS Technology Applications in Environmental and Earth Sciences provides a wealth of information about GIS software for use in environmental applications. The author provides a good overview of technologies being applied for understanding and mapping environmental problems. Readers will learn about data gathering, data modeling and visualizing spatial data in environmental context." —3D Visualization World Magazine, January 2017