Seasonal trend first subtracts the data seasonality estimated with STL (Seasonal and Trend decomposition using Loess). It then forecasts the deseasonalized data using an ETS model adjusted for trends.
(1.5 * season length) / (1 - 1.5 / seasonal smoother length).