We investigate the pollen distribution at different heights using measurements from ground level up to 272 meters in eastern Finland. By combining optical pollen sensors with traditional monitoring methods and atmospheric model predictions, we examined how pollen concentrations vary with height. The results show that pollen concentrations decrease with altitude and that optical sensors combined with machine learning can identify dominant pollen types for continuous pollen monitoring.