Research Papers

Extraction of sea ice concentration based on spectral unmixing method

[+] Author Affiliations
Dong Zhang

Nanjing University, School of Geographic and Oceanographic Sciences, No.22 Hankou Road, Nanjing, 210093, China

Polar Research Institute of China, No. 451 Jinqiao Road, Shanghai, 200136, China

Changqing Ke

Nanjing University, School of Geographic and Oceanographic Sciences, No.22 Hankou Road, Nanjing, 210093, China

Bo Sun, Ruibo Lei, Xueyuan Tang

Polar Research Institute of China, No. 451 Jinqiao Road, Shanghai, 200136, China

J. Appl. Remote Sens. 5(1), 053552 (September 20, 2011). doi:10.1117/1.3643703
History: Revised August 30, 2011; Received May 19, 2011; Accepted September 07, 2011; Published September 20, 2011; Online September 20, 2011
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The traditional methods to derive sea ice concentration are mainly from low resolution microwave data, which is disadvantageous to meet the grid size requirement of high resolution climate models. In this paper, moderate resolution imaging spectroradiometer (MODIS)/Terra calibrated radiances Level-1B (MOD02HKM) data with 500 m resolution in the vicinity of the Abbot Ice Shelf, Antarctica, is unmixed, respectively, by two neural networks to extract the sea ice concentration. After two different neural network models and MODIS potential open water algorithm (MPA) are introduced, a MOD02HKM image is unmixed using these neural networks and sea ice concentration maps are derived. At the same time, sea ice concentration for the same area is extracted by MPA from MODIS/Terra sea ice extent (MOD29) data with 1 km resolution. Comparisons among sea ice concentration results of the three algorithms showed that a spectral unmixing method is suitable for the extraction of sea ice concentration with high resolution and the accuracy of radial basis function neural network is better than that of backpropagation.

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© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation

Dong Zhang ; Changqing Ke ; Bo Sun ; Ruibo Lei and Xueyuan Tang
"Extraction of sea ice concentration based on spectral unmixing method", J. Appl. Remote Sens. 5(1), 053552 (September 20, 2011). ; http://dx.doi.org/10.1117/1.3643703


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