Remote sensing enables the prediction of potential berry picking locations
By combining nationwide airborne laser scanning data and data on berries collected in connection with forest inventories, it is possible to make small-scale berry yield predictions for an entire country. These predictions indicate potential berry picking locations, but do not accurately predict berry yields.The models published now are the world’s first berry yield predictions that are directly based on airborne laser scanning data. The study examined the prediction of bilberry and cowberry yields in Sweden. In the Nordic countries, forest berries are among the most exploited non-wood