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Microwave Propagation and Remote Sensing: Atmospheric Influences with Models and Applications

By: Pranab Kumar Karmakar

254 pages, 113 illus, 18 tabs

CRC Press

Hardback | Jul 2011 | #191113 | ISBN-13: 9781439848999
Availability: Usually dispatched within 6 days Details
NHBS Price: £82.00 $104/€98 approx

About this book

This book deals with both microwave propagation and remote sensing in various atmospheric and tropospheric conditions. After discussing the derived parameters of water, the text covers free space propagation, as well as conditions and constituents such as water vapor and vapor pressure, density, and ray bending. It also explores Maxwell's equations and free space loss calculations, in addition to reflection, interference, polarization of electromagnetic waves, radio refraction, and atmospheric turbulence. The author addresses effects of snow, hail, and aerosols, and he presents radiometric models and methods of measurement of water vapor, as well as frequency/multi-frequency methodology.


Contents

Outlines of Radio Waves and Troposphere General Perspective Troposphere Radio Link Classification of Radio Waves according to Propagation Mechanism Radio Refractivity and Delay through the Atmosphere Tropospheric Aerosols Rain Characteristics References Propagation of Radio Waves: An Outline Introduction Power Gain of Directional Aerial Free Space Field Due to Directional Transmitting Aerial Power at the Receiving Directional Aerial Free Space Transmission Loss Radio Waves in Neutral Atmosphere When Is a Medium a Conductor or Dielectric? Wave Polarization References Reflection and Interference of Radio Waves Introduction Reflection of Radio Waves: An Outline Plane Wave at Dielectric Interface Reflection Coefficient for Flat Smooth Earth Field Strength Due to Reflection from Flat Earth Effect of the Earth's Curvature: Spherical Earth Mechanism of Ground Wave Propagation References Radio Refraction and Path Delay Introduction Radius of Curvature of the Ray Path Refractivity Is Complex and Frequency Dependent Turbulence-Induced Scintillation Microwave Propagation through Tropospheric Turbulence Propagation over Inhomogeneous Surface Tropospheric Ducting Propagation Delay through the Atmosphere References Absorption of Microwaves Introduction Absorption Coefficient Microwave and Millimeter Wave Absorption in the Atmosphere Centrifugal Distortion Water Vapor Absorption at 22.235 GHz Water Vapor Absorption at 183.311 GHz Water Vapor and Microwave Attenuation Choice of Frequency Attenuation Studies in 5070 GHz Band Attenuation Studies at 94 GHz References Rain Attenuation and Its Application at Microwaves Introduction Radiometric Estimation of Rain Attenuation ITU-R Rain Attenuation Model and Its Applicability References Attenuation by Hydrometeors Other than Rain Snow Hail Fog Aerosols Microwave Radiometric Estimation of Water Vapor and Cloud Liquid Effect of Water Vapor and Liquid Water on Microwave Spectra Cloud Radar References Appendix: Mean Atmospheric Temperature at Microwaves and Millimeter Waves in Clear Air Environment

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Biography

Pranab Kumar Karmakar obtained his MSc in physics in 1979 and PhD in the area of microwave propagation and remote sensing in 1990 from the University of Calcutta, India. Associated with the Department of Radiophysics and Electronics at Calcutta University since 1988, he is involved in both teaching and research work. He has more than forty-five publications in national and international journals of repute. Karmakaralso has more than thirty conference articles to his credit. He was awarded the Young Scientist Award of URSI (International Union of Radio Science) in 1990. He has been a visiting scientist at the Remote Sensing Lab, University of Kansas; Centre for Space Science, China; and Satellite Division, National Institute for Space Research (INPE), Brazil. He has also been awarded the South-South fellowship of TWAS (The Academy of Sciences for the Developing World) in 1997. Karmakar's current area of research includes microwave/millimeter wave propagation, microwave remote sensing, and atmospheric modeling.

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