DocumentCode
61269
Title
Sea Ice Detection in the Sea of Okhotsk Using PALSAR and MODIS Data
Author
Wakabayashi, H. ; Mori, Yojiro ; Nakamura, Kentaro
Author_Institution
Coll. of Eng., Nihon Univ., Koriyama, Japan
Volume
6
Issue
3
fYear
2013
fDate
Jun-13
Firstpage
1516
Lastpage
1523
Abstract
In this paper, we propose a new method for improving detection of sea ice through use of PALSAR (Phased-Array type L-band SAR) polarimetric data. Unlike traditional methods that are based on backscattering coefficient, our proposed method utilizes scattering entropy to detect sea ice. We tested this method by comparing sea ice area derived from PALSAR fully polarimetric data covering the Sea of Okhotsk acquired in 2009 and 2010 to that derived from reference MODIS (Moderate Resolution Imaging Spectroradiometer) data of the same region. We applied discriminant analysis to samples of sea ice and open water to determine the threshold of PALSAR backscattering coefficient and scattering entropy needed to discriminate sea ice from open water. We found that sea ice area derived from PALSAR data was equivalent to that derived from MODIS data, suggesting that our proposed method was reliable in the detection of sea ice in the Sea of Okhotsk.
Keywords
entropy; oceanographic regions; oceanographic techniques; radiometry; remote sensing by radar; sea ice; synthetic aperture radar; AD 2009; AD 2010; PALSAR backscattering coefficient; PALSAR fully polarimetric data; PALSAR scattering entropy; Sea of Okhotsk; discriminant analysis; moderate resolution imaging spectroradiometer data; open water sample; phased-array type L-band SAR polarimetric data; reference MODIS data; sea ice area; sea ice detection; sea ice discrimination; sea ice sample; traditional methods; Backscattering coefficient; discriminant analysis; polarimetric SAR; scattering entropy; sea ice;
fLanguage
English
Journal_Title
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher
ieee
ISSN
1939-1404
Type
jour
DOI
10.1109/JSTARS.2013.2258327
Filename
6516092
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