A STUDY OF THE THEORY AND MEASUREMENTS OF THE MICROWAVE EMISSION PROPERTIES OF NATURAL MATERIALS.

The first part of the report is a general review of techniques for measuring the dielectric constant of materials at frequencies in the millimeter and centimeter regions of the electromagnetic spectrum. The general survey shows that for the purpose of obtaining dielectric properties of in situ natur...

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Bibliographic Details
Main Authors: Kennedy,J. M., Mandl,R. M., Poe,G. A., Sakamoto,R. T.
Other Authors: SPACE-GENERAL CORP EL MONTE CALIF
Format: Text
Language:English
Published: 1967
Subjects:
Snow
Ice and Permafrost
Test Facilities
Equipment and Methods
(*SNOW
DIELECTRIC PROPERTIES)
(*DIELECTRIC PROPERTIES
MEASUREMENT)
(*MICROWAVE FREQUENCY
*RADIOMETERS)
DETECTORS
PASSIVE SYSTEMS
MICROWAVES
MILLIMETER WAVES
GEOPHYSICS
Ice
permafrost
Online Access:http://www.dtic.mil/docs/citations/AD0648818
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD0648818
Description
Summary:The first part of the report is a general review of techniques for measuring the dielectric constant of materials at frequencies in the millimeter and centimeter regions of the electromagnetic spectrum. The general survey shows that for the purpose of obtaining dielectric properties of in situ natural materials and laboratory measurements of natural materials, the reflection-polarization (ellipsometric) system is most practical and applicable. Following the review of various systems, SGC develops the relationship between dielectric constants and power reflection coefficients showing fundamental dependency of each of these parameters on the other. In the final section, the relationship of the dielectric constant to the physical conditions of snow is fully developed. In this section, SGC shows there is a unique dielectric constant for snow when the melt condition (free water content) and density are specified. Using this relation and the relationship between dielectric constant and Fresnel reflection coefficients, radiometric temperature, polarization, and angle of observation may be used to fully analyze snow from a remote platform. (Author)

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