Title :
Fully polarimetric ALOS PALSAR data applications for snow and ice studies
Author :
G. Venkataraman;Gulab Singh;Y. Yamaguchi
Author_Institution :
Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India
Abstract :
In this study, the capability assessment of fully polarimetric L-band ALOS PALSAR data has been carried out for snow discrimination from other targets. Eigenvaluve based polarization fraction value has been determined for assessing the capability of PALSAR data for snow discrimination. Radar snow index has been developed using polarization fraction and normalized third eigenvalue of coherency matrix. It has been found that radar snow index is more robust and simple to implement that supervised classification.
Keywords :
"Snow","Classification algorithms","Eigenvalues and eigenfunctions","Scattering","Radar","Indexes"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2010.5649401
