DocumentCode :
3347546
Title :
Simultaneous 35, 95, and 225 GHz fully polarimetric measurements of fallen snow
Author :
Lohmeier, Stephen P. ; Baker, Jeffrey M. ; Mead, James B. ; McIntosh, Robert E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA
Volume :
3
fYear :
34881
fDate :
10-14 Jul1995
Firstpage :
1753
Abstract :
During the winter of 1994, a three frequency polarimetric radar system operating at 35, 95, and 225 GHz was configured to take simultaneous measurements of the Mueller matrix and normalized radar cross section (NRCS). In addition to the radar measurements, in situ data characterized the snow pack and meteorological parameters. It was found that NRCS is inversely related to the amount of liquid water content in the snow pack up to the depth of penetration. Additionally, a supervised classification using the minimum distance classifier was used to classify the data into four snow type categories with a 97% accuracy
Keywords :
backscatter; geophysical signal processing; hydrological techniques; image classification; radar cross-sections; radar imaging; radar polarimetry; remote sensing by radar; snow; 35 to 225 GHz; EHF; Mueller matrix; NRCS; backscatter; hydrology; image classification; liquid water content; measurement technique; millimetric radar; minimum distance classifier; mm wave; normalized radar cross section; radar imaging; radar polarimetry; radar remote sensing; radar scattering; snow cover; snow type categories; snowcover; snowpack; supervised classification; three frequency method; Frequency; Meteorology; Radar antennas; Radar cross section; Radar measurements; Radar polarimetry; Radar remote sensing; Remote sensing; Snow; Temperature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
Type :
conf
DOI :
10.1109/IGARSS.1995.524016
Filename :
524016
Link To Document :
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