Prediction of Backscatter and Emissivity of Snow at Millimeter Wavelengths.
In both the active and passive microwave remote sensing of snowpacks, volume scattering effects due to medium inhomogeneities play a dominant role in the determination of the radar backscattering cross sections and the brightness temperatures. Two theoretical models have been developed to characteri...
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| Format: | Text |
| Language: | English |
| Published: |
1980
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| Online Access: | http://www.dtic.mil/docs/citations/ADA116448 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA116448 |
| Summary: | In both the active and passive microwave remote sensing of snowpacks, volume scattering effects due to medium inhomogeneities play a dominant role in the determination of the radar backscattering cross sections and the brightness temperatures. Two theoretical models have been developed to characterize snowpacks: (1) a random medium with a variance, a horizontal correlation length, and a vertical correlation length and, (2) a homogeneous dielectric containing discrete scatterers. The earth terrain is then modeled as layers of such scattering media bounded by air above and a homogenous half-space below. The development of the theoretical approach is guided by the motivation that data set obtained in a field and plotted as functions of frequency, angle, and polarization must be matched with same set of parameters characterizing the same field. |
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