Remote Sensing for Geoscientists
Gary L. Prost
Sold by Rarewaves.com UK, London, United Kingdom
AbeBooks Seller since June 11, 2025
New - Hardcover
Condition: New
Ships from United Kingdom to U.S.A.
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Add to basketSold by Rarewaves.com UK, London, United Kingdom
AbeBooks Seller since June 11, 2025
Condition: New
Quantity: Over 20 available
Add to basketThe fourth edition of the bestselling Remote Sensing for Geoscientists: Image Analysis and Integration expands the scope of remote sensing to cover image systems that did not exist 11 years ago when the third edition was published. It is thoroughly updated to meet the needs of readers today and provides examples of new capabilities using Google Earth© and various apps. It describes the latest remote sensing systems and sensors, provides examples of imagery, and explains how to analyze and integrate remote sensing images in projects that require superior results. Lavishly illustrated, it serves as a how-to guide for those using remote sensing in Earth Sciences for mapping and monitoring.New in the Fourth Edition:Thoroughly revised to address remote sensing technological advances achieved in recent years.Includes new examples of using remote sensing for successful projects in water, oil, gas, and mineral exploration and exploitation, forensic remote sensing, and environmental monitoring.Reviews the latest instrumentation, processing, and integrated analysis of imagery.Includes two new chapters, including one on clandestine geologic remote sensing and a new chapter on free Google Earth software to remotely sense anywhere on Earth and process imagery to highlight geologic features.Maintains a clear style and simple language understandable by the average person.This is a terrific, all-encompassing text for professionals in industry and governmental agencies, academics, and students who are part of the remote sensing and geospatial community and working in the fields of geology, geosciences, energy and mining industry, groundwater, and environmental engineering and for those who are involved in monitoring natural resources, the environment, and natural disasters.
Seller Inventory # LU-9781041020066
The fourth edition of the bestselling Remote Sensing for Geoscientists: Image Analysis and Integration expands the scope of remote sensing to cover image systems that did not exist 11 years ago when the third edition was published. It is thoroughly updated to meet the needs of readers today and provides examples of new capabilities using Google Earth© and various apps. It describes the latest remote sensing systems and sensors, provides examples of imagery, and explains how to analyze and integrate remote sensing images in projects that require superior results. Lavishly illustrated, it serves as a how-to guide for those using remote sensing in Earth Sciences for mapping and monitoring.
New in the Fourth Edition:
This is a terrific, all-encompassing text for professionals in industry and governmental agencies, academics, and students who are part of the remote sensing and geospatial community and working in the fields of geology, geosciences, energy and mining industry, groundwater, and environmental engineering and for those who are involved in monitoring natural resources, the environment, and natural disasters.
Gary L. Prost obtained his BSc in Geology from Northern Arizona University and a MSc and PhD Geology from Colorado School of Mines. He worked over 40 years in the minerals and energy industries for the U.S. Geological Survey, The Superior Oil (and Minerals) Company, Amoco Production Company, Shell Oil, Gulf Canada, and ConocoPhillips Canada. His remote sensing experience includes over 20 years spent in mineral and energy exploration, environmental monitoring, and geologic and hazards mapping in over 30 countries. He has written a geologic handbook for the general public and has published a series on self-guided geologic tours of the world. Now retired, Dr. Prost leads geologic tours for the public and professionals and is dedicated to making geology accessible to the average person.
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