DocumentCode
38073
Title
Wideband Autocorrelation Radiometric Sensing of Microwave Travel Time in Snowpacks and Planetary Ice Layers
Author
England, A.W.
Author_Institution
Department of Atmospheric, Oceanic, and Space Sciences and Department of Electrical Engineering and Computer Science, College of Engineering, University of Michigan, Ann Arbor, MI, USA
Volume
51
Issue
4
fYear
2013
fDate
Apr-13
Firstpage
2316
Lastpage
2326
Abstract
Wideband autocorrelation radiometry (wideband AR) offers a deterministic method of remotely sensing microwave travel time
in planetary surface layers that are quasi-transparent to microwaves. Combining
with an independent estimate of the layer\´s average microwave index of refraction
yields a measure of layer thickness whose accuracy is primarily limited by the accuracy of
. The technique requires that four conditions be met: 1) The correlation time of the radiometric signal must be less than the time difference at the radiometer between an upwelling ray that traverses the quasi-transparent layer once and a multiply reflected ray that traverses the quasi-transparent layer three times; 2) interfaces at the top and bottom of the layer must be effectively specular at the frequency of the radiometer; 3) dielectric transitions at the top and bottom of the layer must be distinct; and 4) rays transiting the layer must not be significantly absorbed or scattered. The performance of wideband AR for sensing dry snowpacks is governed by the relationship between system bandwidth and minimum snowpack thicknesses that can be sensed, the microwave indices of refraction of snowpacks and their underlying media, and the integration time required to depress the autocorrelation noise floor below the autocorrelation signal. Findings of this paper are that microwave travel times within dry snowpacks over frozen or thawed soils, or over ice, could be deterministically measured for snowpack thicknesses between 10 cm and 2 m using wideband AR sensors having 10-GHz center frequencies, 1-GHz bandwidths, and 1-ms integration times.
Keywords
Correlation; Ice; Microwave FET integrated circuits; Microwave integrated circuits; Microwave radiometry; Sensors; Wideband; Ice; radiometry; snow;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2012.2210284
Filename
6293879
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