DocumentCode
2191084
Title
Sea ice detection in the sea of Okhotsk using PALSAR and MODIS data
Author
Wakabayashi, Hiroyuki ; Mori, Yuta ; Nakamura, Kazuki ; Yang, Chan-Su
Author_Institution
Coll. of Eng., Nihon Univ., Koriyama, Japan
fYear
2012
fDate
22-27 July 2012
Firstpage
4473
Lastpage
4476
Abstract
The objective of this research is into detecting sea ice by using PALSAR (Phased-Array type L-band SAR) polarimetric data. It is generally difficult to detect thin sea ice area by using the methods based on the backscattering coefficient. We propose a new method utilizing scattering entropy to detect sea ice. This paper shows the results of extracting sea ice area from PALSAR fully polarimetric data acquired from 2009 to 2010. The MODIS (Moderate Resolution Imaging Spectroradiometer) data are used as sea ice reference. The threshold of PALSAR scattering entropy to discriminate sea ice from open water is determined from the distribution of scattering entropy for both sea ice and open water. We compared PALSAR derived sea ice area with MODIS derived area. Since most of PALSAR detected sea ice area is also detected by MODIS data, we can conclude that our proposed method is reliable to detect thin sea ice area in the Sea of Okhotsk. The high resolution backscattering and scattering entropy images give us an idea that there are some difficulties in detecting thin sea ice only by backscattering coefficient.
Keywords
geophysical image processing; geophysical techniques; oceanographic regions; radiometry; remote sensing by radar; sea ice; AD 2009 to 2010; MODIS data; Moderate Resolution Imaging Spectroradiometer; Okhotsk sea; PALSAR data; PALSAR polarimetric data; PALSAR scattering entropy; Phased-Array type L-band SAR; backscattering coefficient; open water; scattering entropy distribution; sea ice area; sea ice detection; sea ice reference; Backscatter; Entropy; MODIS; Scattering; Sea ice; Sea surface; polarimetric SAR; scattering entropy; sea ice;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350478
Filename
6350478
Link To Document