Polarimetric SAR Response of Snow-Covered Area Observed by Multi-Temporal ALOS PALSAR Fully Polarimetric Mode
This study discusses the capability assessment of fully polarimetric L-band spaceborne synthetic aperture radar (SAR) for detection of seasonal snow covered areas. In this paper, ALOS PALSAR time-series data sets obtained in quad-pol modes have been investigated to evaluate the polarimetric signal s...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2014-01, Vol.52 (1), p.329-340 |
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| creator | Sang-Eun Park Yamaguchi, Yoshio Singh, Gulab Yamaguchi, Satoru Whitaker, Andrew C. |
| description | This study discusses the capability assessment of fully polarimetric L-band spaceborne synthetic aperture radar (SAR) for detection of seasonal snow covered areas. In this paper, ALOS PALSAR time-series data sets obtained in quad-pol modes have been investigated to evaluate the polarimetric signal scattered from a snow-covered mountainous ecosystem in Niigata, Japan. Results show that changes in the scattering mechanism across the various snow states can be identified from polarimetric parameters. In particular, different polarimetric parameters offer complementary information on the snow properties. Based on the characteristic seasonal changes of polarimetric parameters, a new method to map snow-covered areas is proposed in this study using an information fusion approach. Snow extent can be identified successfully by combining polarimetric indices with an overall accuracy of 74.4% as compared with in situ measurements and 77.0% as compared with optical images. |
| doi_str_mv | 10.1109/TGRS.2013.2240000 |
| format | Article |
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In this paper, ALOS PALSAR time-series data sets obtained in quad-pol modes have been investigated to evaluate the polarimetric signal scattered from a snow-covered mountainous ecosystem in Niigata, Japan. Results show that changes in the scattering mechanism across the various snow states can be identified from polarimetric parameters. In particular, different polarimetric parameters offer complementary information on the snow properties. Based on the characteristic seasonal changes of polarimetric parameters, a new method to map snow-covered areas is proposed in this study using an information fusion approach. 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In this paper, ALOS PALSAR time-series data sets obtained in quad-pol modes have been investigated to evaluate the polarimetric signal scattered from a snow-covered mountainous ecosystem in Niigata, Japan. Results show that changes in the scattering mechanism across the various snow states can be identified from polarimetric parameters. In particular, different polarimetric parameters offer complementary information on the snow properties. Based on the characteristic seasonal changes of polarimetric parameters, a new method to map snow-covered areas is proposed in this study using an information fusion approach. Snow extent can be identified successfully by combining polarimetric indices with an overall accuracy of 74.4% as compared with in situ measurements and 77.0% as compared with optical images.</description><subject>ALOS/PALSAR</subject><subject>Applied geophysics</subject><subject>Armed forces</subject><subject>Backscatter</subject><subject>Covariance matrices</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Eigenvalues and eigenfunctions</subject><subject>Exact sciences and technology</subject><subject>Internal geophysics</subject><subject>L-band</subject><subject>Radar</subject><subject>radar polarimetry</subject><subject>Scattering</subject><subject>Snow</subject><subject>snow mapping</subject><subject>Synthetic aperture radar</subject><subject>target decomposition</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpVkNFrwjAQxsPYYM7tDxh7CYw91l3SNE0ei0w3UBR1zyVpr1CpxiXq8L9fiyLsXo7jvu93x0fIM4MBY6DfV-PFcsCBxQPOBbR1Q3osSVQEUohb0gOmZcSV5vfkIYQ1ABMJS3tkM3eN8fUG974u6DJb0AWGndsGpK6iy637jYbuiB5Lmnk0dGYD-mM72ROdHpp9Ha1ws3PeNDSbzJZ0nk06yOjQNCf6jz11JT6Su8o0AZ8uvU--Rx-r4Wc0mY2_htkkKmKl91HFipQpZSVKSIVgVpnYyrIwVnKLJoUEwQojbGFEDLrUADoVSloDlVHcxn3yeubuvPs5YNjna3fw2_ZkzoTkWssW36rYWVV4F4LHKt-13xp_yhnkXap5l2repZpfUm09bxeyCYVpKm-2RR2uRq44xCnIVvdy1tWIeF1LkTIOSfwHP45_Tg</recordid><startdate>201401</startdate><enddate>201401</enddate><creator>Sang-Eun Park</creator><creator>Yamaguchi, Yoshio</creator><creator>Singh, Gulab</creator><creator>Yamaguchi, Satoru</creator><creator>Whitaker, Andrew C.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | ALOS/PALSAR Applied geophysics Armed forces Backscatter Covariance matrices Earth sciences Earth, ocean, space Eigenvalues and eigenfunctions Exact sciences and technology Internal geophysics L-band Radar radar polarimetry Scattering Snow snow mapping Synthetic aperture radar target decomposition |
| title | Polarimetric SAR Response of Snow-Covered Area Observed by Multi-Temporal ALOS PALSAR Fully Polarimetric Mode |
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