Sea ice detection in the sea of Okhotsk using PALSAR and MODIS data

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.

[1]  R. Fisher THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .

[2]  Seiho Uratsuka,et al.  Airborne Dual-Frequency Polarimetric and Interferometric SAR , 2000 .

[3]  Seiho Uratsuka,et al.  CRL/NASDA airborne SAR (Pi-SAR) observations of sea ice in the Sea of Okhotsk , 2001, Annals of Glaciology.

[4]  Torbjørn Eltoft,et al.  Automated Non-Gaussian Clustering of Polarimetric Synthetic Aperture Radar Images , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Dorothy K. Hall,et al.  Assessment of AMSR-E Antarctic Winter Sea-Ice Concentrations Using Aqua MODIS , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Takeshi Matsuoka,et al.  Polarimetric Characteristics of sea ice in the sea of Okhotsk observed by airborne L-band SAR , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Thorsten Markus,et al.  Assessment of the AMSR-E Sea Ice-Concentration Product at the Ice Edge Using RADARSAT-1 and MODIS Imagery , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Charles Fowler,et al.  Tracking the Movement and Changing Surface Characteristics of Arctic Sea Ice , 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[9]  K. Ohshima,et al.  In-situ ice and meteorological observations in the southern Sea of Okhotsk in 2001 winter: ice structure, snow on ice, surface temperature, and optical environments , 2002 .

[10]  Masanobu Shimada,et al.  An L-Band Ocean Geophysical Model Function Derived From PALSAR , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[11]  R. Onstott SAR and Scatterometer Signatures of Sea Ice , 2013 .

[12]  Duk-jin Kim,et al.  Characterization of Arctic Sea Ice Thickness Using High-Resolution Spaceborne Polarimetric SAR Data , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Juha Karvonen,et al.  Baltic Sea Ice Concentration Estimation Based on C-Band HH-Polarized SAR Data , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[14]  David A. Clausi,et al.  Evaluating SAR Sea Ice Image Segmentation Using Edge-Preserving Region-Based MRFs , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[15]  Manabu Watanabe,et al.  ALOS PALSAR: A Pathfinder Mission for Global-Scale Monitoring of the Environment , 2007, IEEE Transactions on Geoscience and Remote Sensing.