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Ice Detection and Classification in Liaodong Bay with ENVISAT ASAR Imagery

Yonggang JI(1,1), Jie ZHANG(1), Junmin MENG(1) and Xi ZHANG(1)

(1) First Institute of Oceanography,SOA, 6 Xianxialing Rd, Hi-Tech Industry Park, 266061, Qingdao, China

Abstract

Liaodong Bay in Bohai Sea is the main China offshore sea ice region, and the sea ice in Liaodong Bay lasts only for about four months in winter. The surface scattering characteristics of different ice types in different developmental stages in SAR imagery are quite different. In the winters of 2005-2006 and 2006-2007, several ice detection experiments in Liaodong bay were carried out. In those experiments, a lot of remote sensing imageries and aerial images were acquired, which include 61 scenes ENVISAT ASAR imagery. First, the backscattering dynamic range of ENVISAT ASAR imagery with different polarization modes and backscattering response variations of ASAR imagery were analyzed. The results show that ENVISAT ASAR can distinguish coastal fast-land ice, level ice and hummocked ice in Bohai Sea. But the detection of new ice is difficult and its result are unreliable. Then a semi-automatic classification interpretation system based on time-index image PCNN (Pulse Coupled Neural Network) is presented for ENVISAT ASAR imagery. The ice classification interpretation system can distinguish ice from open water, and identify different types of ice in Liaodong bay. Some ice detection and classification results are given at the end of the paper.

 

Workshop poster

Keywords: ESA European Space Agency - Agence spatiale europeenne, observation de la terre, earth observation, satellite remote sensing, teledetection, geophysique, altimetrie, radar, chimique atmospherique, geophysics, altimetry, radar, atmospheric chemistry