An Introduction to Contemporary Remote Sensing

by Weng, Qihao

• ISBN13: 9780071740111
• ISBN10: 0071740112
• Edition: 1st
• Format: Hardcover
• Copyright: 2012-02-09
• Publisher: McGraw Hill

Summary

A practical guide to remote sensing technology, providing basic knowledge intended for diverse geospatial applications An Introduction to Contemporary Remote Sensing Earth from Spacecovers the latest developments in remote sensing and imaging science, especially those relevant to undergraduate students. Remote sensing is the technology behind revolutionary applications such as Google Earth. The information in this book will help you to optimize portable equipment design by understanding and selecting most ideal spatial imagery technique. This versatile book serves lower-division undergraduate students as a textbook and may also be used as a reference tool for various remote sensing workshops as well as for professionals and researchers in academia, government, and industries to acquire updated information on the newest developments in the field. An Introduction to Contemporary Remote Sensing Earth from Space Contains helpful features, such as summaries, text boxes, review questions, key terms, and lab exercises Includes supplementsteacher's manual, study guide, solutions, software, datasets, and further references for books, journals, and websites Can easily be converted for use in distance-education classes Provides the most up-to-date developments in remote sensing and imaging science, especially those relevant to undergraduate students Helps you optimize portable equipment design and select the most ideal spatial imagery technique

Table of Contents

Chapter 1. The Field of Remote Sensing
Chapter 2. Electromagnetic Radiation Principles
Chapter 3. Characteristics of Remotely Sensed Data
Chapter 4. Aerial Photo Interpretation
Chapter 5. Photogrammetry Basics
Chapter 6. Remote Sensors
Chapter 7. Earth Observation Satellites
Chapter 8. Digital Image Analysis
Chapter 9. Thermal Remote Sensing
Chapter 10. Active Remote Sensing
Index