DK-Future will develop novel geographical machine learning models, termed probabilistic GeoML, designed to predict future land use changes by integrating probabilistic approaches that incorporate geographical data and accounting for uncertainties in climate change scenarios. These models will leverage historical Earth observation and climate projection data to forecast land use changes in Denmark under compound climate impacts. With its low-lying terrain and long coastline, Denmark is highly vulnerable to climate-induced land use changes, highlighting the need for forecasting tools to support proactive land use management with the associated uncertainties. This effort requires advances in probabilistic modeling of complex spatio-temporal processes, in close synergy with the geographical sciences, incorporating concepts like spatial proximity and autocorrelation into ML models