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Paperback Physical Principles of Remote Sensing Book

ISBN: 0521359945

ISBN13: 9780521359948

Physical Principles of Remote Sensing

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Format: Paperback

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Book Overview

Substantially revised and expanded, this new edition includes a discussion of the radiative transfer equation, atmospheric sounding techniques and interferometric radar, an expanded list of problems... This description may be from another edition of this product.

Related Subjects

Engineering Technology

Customer Reviews

4 ratings

Comprehensible and helpful

I used this book during my studies, but also now I use it often to check some things. The book is written generally - it does not go too deeply into detail - but is still a good reference for a lot of questions.

A solid, well balanced and quite readable text for RS study

I was fortunate enough to attend Gareth Rees' course, for which this book was initially written. As a student that always needed to get things through the brain more than once for it to stick, I can thoroughly recommend this book. It is well written, handles the mathematical treatments with enough detail to be easy to follow (but it does assume a fairly strong undergraduate mathematical background). Excellent description of Synthetic Aperture Radar techniques and written in a style that makes it quite fresh for what is fundamentally a course text book.

EARTH SCIENCE.... professional

Physical Principles of Remote Sensingby W. G. Rees, Gareth Reesis one of the first books that should be chased after by anyone planning to adapt the theory of LAND STUDIES to his/her future. Required as an intorductory textbook for many university level programs, THE PRINCIPLES OF REMOTE SENSING prepares the mind for future training in earth sciences. Ms. Carmen R. Cross

Great reference for remote sensing scientists and engineers.

The book provides simple explainations with just enough equations to help understand concepts in electromagnetics, radiation interaction with atmosphere, Microwave-visible-IR systems, scattering, satellites, antennas and data processing. Great for reference or introductory course in remote sensing.
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