 This study demonstrated the potential of UAV based hyperspectral remote sensing for detecting individual trees and identifying their species in boreal forests. The study showed that the use of dense point clouds and spectral features from hyperspectral images can be used to identify individual trees with high accuracy. Additionally, the study found that the use of random forest and multi-layer perceptron classifiers can achieve high accuracy in identifying tree species. This article was authored by Ali Nevalanen, Aja Honkavara, Sakari Tuamanen, and others.