BEC SMOS Sea Ice Thickness [Dataset]

Sea ice thickness from SMOS measurements. The retrieval is based in a hybrid approach, combining the Burke emission model (Burke et al., 1979) with a machine learning algorithm. The emission model is used to generate the dataset that is then used to train a Random Forest algorithm. The sea ice thickness is retrieved only up to 1 - 1.5 m of thickness due to the limited sensitivity at the L-band. This maximum retrievable thickness is not yet included in the product but will be in the future; for safety trust values only up to 1 m