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A novel application of passive GPS signals (GNSS-R) picked up by cube satellites to detect the location and age of Antarctic sea ice. A simple Bayes rule based update strategy has been implemented to improve estimates of various sea ice types using both a gradient boosting machine learning model and a robust mixture discriminent analysis statistical model as the likelihood.