Radio Propagation and Remote Sensing of the Environment / Edition 1

Radio Propagation and Remote Sensing of the Environment / Edition 1

ISBN-10:
0415317355
ISBN-13:
9780415317351
Pub. Date:
11/15/2004
Publisher:
Taylor & Francis
ISBN-10:
0415317355
ISBN-13:
9780415317351
Pub. Date:
11/15/2004
Publisher:
Taylor & Francis
Radio Propagation and Remote Sensing of the Environment / Edition 1

Radio Propagation and Remote Sensing of the Environment / Edition 1

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Overview

This book describes the processes of radio propagation and analyzes the equations that enable estimation of media. It explores propagation processes and related phenomena including absorption, refraction, reflection, and scattering. It also analyzes how knowledge of radiowave properties allows accurate estimations of media via inverse problems. The text examines the empirical methods that interpret remote sensing data, and how they are applied in the creation of useful approximation models. The authors also describe the operational principles of microwave devices used in remote sensing, and provide insight into the stabilizing a priori information that greatly increases the accuracy of remote sensing solutions.

Product Details

ISBN-13: 9780415317351
Publisher: Taylor & Francis
Publication date: 11/15/2004
Pages: 452
Product dimensions: 6.12(w) x 9.19(h) x (d)

About the Author

N.A. Armand, V.M. Polyakov

Table of Contents

This book describes the processes of radio propagation and analyzes the equations that enable estimation of media. It explores propagation processes and related phenomena including absorption, refraction, reflection, and scattering. It also analyzes how knowledge of radiowave properties allows accurate estimations of media via inverse problems. The authors examine the empirical methods that interpret remote sensing data and how they are applied in the creation of useful approximation models, and discuss the operational principles of microwave devices used in remote sensing, and provide insight into the stabilizing a priori information that greatly increases the accuracy of remote sensing solutions.
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