SAR Algorithm for Sea Ice Concentration—Evaluation for the Baltic Sea

Author

Berg, Anders ; Eriksson, Leif E B

Author_Institution

Dept. of Earth & Space Sci., Chalmers Univ. of Technol., Gothenburg, Sweden

Volume

9

Issue

5

fYear

2012

Firstpage

938

Lastpage

942

Abstract

A new sea ice concentration algorithm has been developed for C-band synthetic aperture radar data. Detailed autocorrelation statistics are derived and adopted by the algorithm, and a neural network is utilized for training against 41 sea ice charts. The charts are produced by ice analysts at the Swedish Ice Service and cover the Baltic Sea. The classification of open water pixels is accurate to 94% on average, and the classification of sea ice pixels has an accuracy of 87%. This results in a root-mean-square error of 6.7 percentage points in estimating the sea ice concentration.

Keywords

geophysics computing; remote sensing by radar; sea ice; synthetic aperture radar; Baltic sea; C-band synthetic aperture radar data; SAR algorithm; Swedish ice service; autocorrelation statistics; neural network; open water pixels; root-mean-square error; sea ice concentration algorithm; sea ice pixels; Accuracy; Correlation; Sea ice; Sea surface; Synthetic aperture radar; Training; Autocorrelation; C-band; ice concentration; neural network; sea ice; synthetic aperture radar (SAR);

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2012.2186280

Filename

6170542