Introduction to Remote Sensing

by James B. Campbell

Book Overview

A leading text for undergraduate- and graduate-level courses, this book introduces widely used forms of remote sensing imagery and their applications in plant sciences, hydrology, earth sciences, and... This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 159385319x
• ISBN13: 9781593853198
• Release Date: November 2006
• Publisher: Guilford Publications
• Length: 626 Pages
• Weight: 2.95 lbs.
• Dimensions: 1.4" x 7.1" x 10.2"

Customer Reviews

Great book to connect GIS to Remote Sensing

Although a bit techn ical I was able to master this program with dedication and reading the book thorough to the end. Don't expect light reading, but also buy GIS for dummies to help through some of the Cuputobabel you should be familiar with.

very gooooooodddd!!!!!

Thank you for this wonderful book. It is great and I can make a use out of it in my remote sensing class. Good job!!!

Introduction to Remote Sensing

It's a very goond text for introduction to remote Sensing. The contents are rather comprehensive and versatile. They could be grouped in different ways to suite for different purposes of the courses.

Great update to a classic

I read the first edition back around 1991 in college and this was a great refresher to the subject. I especially like the updates on LIDAR and Hyperspectral RS. The writing is clear and easy to understand and the bibliography is a great resource too.

A complete giude to Remote Sensing Practices and Techniques

"Introduction to Remote Sensing" by James Campbell covers Remote Sensing, past and present, from one end of the spectrum to the other. Head of the Geography Department at Virginia Tech, his book shows all of the new technology and image processing required for todays sensors. It has excellent illustrations and charts to get the point across easily for a very difficult subject. Complete and up to date, Campbell discusses the new wave of remote sensing, image classification, plant sciences, earth sciences, gps, hyperspectral data, the history of satellites, radiation and cartography. And most of all, how to apply it accurately.