 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 accurately identify individual trees and their species. The study also indicated that the use of a novel approach for compensation of the large radiometric variation of hyperspectral data is necessary for successful application of this technology. This article was authored by Ali Nevelainen, Aja Honkavara, Sakari Tuamanan, and others.