Remote Sensing and Image Interpretation

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Remote Sensing and Image Interpretation

Remote Sensing and Image Interpretation


Remote Sensing and Image Interpretation


Free PDF Remote Sensing and Image Interpretation

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Remote Sensing and Image Interpretation

Remote Sensing and Image Interpretation, 7th Edition is designed to be primarily used in two ways: as a textbook in the introductory courses in remote sensing and image interpretation, and as a reference for the burgeoning number of practitioners who use geospatial information and analysis in their work. Because of the wide range of academic and professional settings in which this book might be used, we have made the discussion “discipline neutral.” In short, anyone involved in geospatial data acquisition and analysis should find this book to be a valuable text and reference.

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Product details

Paperback: 736 pages

Publisher: Wiley; 7 edition (February 18, 2015)

Language: English

ISBN-10: 9781118343289

ISBN-13: 978-1118343289

ASIN: 111834328X

Product Dimensions:

7.5 x 1.1 x 9.1 inches

Shipping Weight: 2.2 pounds (View shipping rates and policies)

Average Customer Review:

4.2 out of 5 stars

8 customer reviews

Amazon Best Sellers Rank:

#271,969 in Books (See Top 100 in Books)

There's a bit too much "scientific" jargon in this book. Great figures, just too much jargon. I've read other remote sensing books, and they are read better.

It's a fine book, but for a text on the subject it's a bit outdated. Scant information on LiDAR, or the newest sensors.

This is a great resource for any GIS practitioner. It's well written and informative.

Extremely useful to me in my job

This book is so overpriced for what it is (a paperback book).

Easy to read. Valuable information. I rented it, but wish I bought it so I could keep it.

Item arrived quickly and was as described.

This has been my standard text for many years, but there are many others of similar quality available at a lower cost. Most of the chapter on terrain analysis is no longer very relevant and new tachnologies such as LiDAR and hyperspectral deserve more treatment.

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