DocumentCode :
1025787
Title :
The Relation of Millimeter-Wavelength Backscatter to Surface Snow Properties
Author :
Williams, Larry D. ; Gallagher, John G.
Author_Institution :
Departmfent of Geography, University of Edinburgh, Edinburgh EH8 9XP, Scotland
Issue :
2
fYear :
1987
fDate :
3/1/1987 12:00:00 AM
Firstpage :
188
Lastpage :
194
Abstract :
Although model results indicate that microwave backscatter and emission from snowcover should depend on dry-snow grain size and wet-snow surface roughness, there has been little or no experimental verification. In this paper, helicopter-mounted radar measure-ade ments of 94-GHz backscatter from snowcover, and ground-truth measurements of snow surface roughness, wetness, grain size, and porosity, are analyzed. For each of six polarization combinations, and separately for dry snow and wet snow, spatial mean values <σ°> of the backscatter coefficient σ° are fit to linear combinations of the cosine of incidence angle and the snow variables, the latter in the order in which the explained variance in <σ°> is most increased, provided the increase is significant. However, the significance of an included snow variable is considered questionable if the predicted response of <σ°> to that variable is small compared with the spatial standard deviations of or (typically 4-5 dB). This is the case for dry-snow grain size, porosity, and for some polarization combinations, wetness. Only the response to wet-snow surface roughness is consistently comparable in magnitude to the standard deviations of σ°. Dry-snow surface roughness, wet-snow grain size, and for most polarization combinations, porosity, made no significant improvement to the explained variances. An examination of residuals shows that the linear model is adequate for the <σ°> response to cosine of incidence angle and snow surface roughness.
Keywords :
Backscatter; Grain size; Millimeter wave measurements; Millimeter wave radar; Polarization; Radar measurements; Rough surfaces; Size measurement; Snow; Surface roughness;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.1987.289817
Filename :
4072623
Link To Document :
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