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Young sea ice composed of grease and pancake ice (GPI), as well as thinfloes, considered to be the most common form of sea ice fringing Antarctica, isnow becoming the 'new normal' also in the Arctic. Investigations to determinehow an increase in GPI is affecting the climate in the far north and globally,require specific tools to monitor the GPI's thickness distribution. Directionalwave spectra from satellite SAR imagery are used to determine the change inwave dispersion as a wave train enters GPI fields. The ice cover thickness isthen estimated by fitting the dispersion data with two models of wavepropagation in ice cover ocean: the Keller's model and the close-packing (CP)model.  For both models, an empirical constitutive equation for GPI viscosity as afunction of the ice thickness is derived and discussed. Examples of GPIthickness retrievals are shown for a Sentinel-1 C band SAR image taken in theBeaufort Sea on 1 November 2015, and three CosmoSkyMed X band SAR images takenin the Weddell Sea on March 2019. The estimated GPI thicknesses are consistentwith concurrent SMOS measurements and the available local samplings.

SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave models