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Abstract

Remote sensing methods used for determination of sea ice concentration, stages of development, thickness and drift are considered. Examples of sea ice stages of development charting in the Arctic with the use of Envisat data, neural network and Bayesian classification methods are presented. Features of satellite technology for Dangerous Ice Formations (DIFs) are stated. Proposals for further development of sea ice remote sensing taking into account the IPY experience are formulated.