Extraction of sea ice concentration based on spectral unmixing method

Zhang, Dong; Ke, Changqing; Sun, Bo; Lei, Ruibo; Tang, Xueyuan

doi:doi:10.1117/1.3643703

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Journal of Applied Remote Sensing / Volume 5 / Research Papers

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Extraction of sea ice concentration based on spectral unmixing method

J. Appl. Remote Sens. 5, 053552 (Sep 20, 2011); http://dx.doi.org/10.1117/1.3643703

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Abstract

References (27)

Dong Zhang and 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

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.

History

Received May 19, 2011
Accepted Sep 07, 2011
Revised Aug 30, 2011
Published online Sep 20, 2011

Digital Object Identifier

http://dx.doi.org/10.1117/1.3643703

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, 053552 (Sep 20, 2011); http://dx.doi.org/10.1117/1.3643703