Scientists used airborne laser scanning data and field data to predict and map site productivity in Swedish coniferous forests. They focused on Norway spruce and Scots pine trees in even-aged stands. By analyzing over 11,500 forest plots, they developed accurate models to estimate site index, a measure of forest productivity. The models considered factors like tree height, altitude, distance to coast, and soil moisture. The results showed that the models accurately predicted site index for both tree species, with minimal error. This information is crucial for planning forest management strategies and predicting future forest growth.