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Capability Assessment of Fully Polarimetric ALOS-PALSAR data for Discriminating Wet Snow from Other Scattering Types in Mountainous Regions

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Title Capability Assessment of Fully Polarimetric ALOS-PALSAR data for Discriminating Wet Snow from Other Scattering Types in Mountainous Regions
 
Creator SINGH, G
VENKATARAMAN, G
YAMAGUCHI, Y
PARK, SE
 
Subject Advanced Land Observing Satellite (ALOS)-PALSAR
glacier
H/A/(alpha)over-bar
Himalayas
polarization fraction
remote sensing
snow
wishart classifier
PASSIVE MICROWAVE RESPONSE
SYNTHETIC-APERTURE RADAR
SIR-C/X-SAR
COVERED AREA
PARAMETERS
WETNESS
CLASSIFICATION
INVERSION
IMAGES
 
Description This paper examines the capability assessment of fully polarimetric L-band data for the snow and nonsnow-area classifications. The data sets used are the fully polarimetric Advanced Land Observation Satellite-Phased Array-Type L-Band Synthetic Aperture Radar data, optical Advanced Land Observing Satellite (ALOS)-advanced visible and near-infrared radiometer-2 data close to the radar acquisition, and environmental satellite-advanced synthetic aperture radar data. Several parameters are used to discriminate the snow-covered areas from nonsnow-covered areas in the Indian Himalayan region, including backscattering coefficients, the ratio of cross/copolarized backscattering power and polarization fraction (PF) value. Supervised classification schemes are employed using polarimetric decomposition methods based on the complex Wishart classifier. The accuracy of the classification was found to be 97.95% for the Wishart-supervised classification. Among various parameters and methods, it was found that the alternative newly proposed PF scheme, based on the implementation of fully polarimetric synthetic aperture radar data, yielded the best classification result in the absence of the training samples. The PF value has been effective for discrimination of the snow-covered areas from nonsnow-covered areas, debris-covered glacier, and vegetation. The results of this investigation show that L-band fully polarimetric SAR data provide considerable improvement but may not possess the optimal capability to discriminate snow from other inherent natural and man-made scatterers in heavy snow-laden mountainous scenarios, which may require fully polarimetric S-band or C-band PolSAR measurements.
 
Publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
 
Date 2014-12-28T14:20:49Z
2014-12-28T14:20:49Z
2014
 
Type Article
 
Identifier IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 52(2)1177-1196
0196-2892
1558-0644
http://dx.doi.org/10.1109/TGRS.2013.2248369
http://dspace.library.iitb.ac.in/jspui/handle/100/16738
 
Language English