Remotely sensing the species of individual trees

This Thesis aimed to accurately map the species of individual trees using multi source remotely sensed data, including aerial photographs, airbone LiDAR and hyperspectral data. The Research in the thesis firstly evaluated the performance of geometric and radiometric metrics from airbone LiDAR data under leaf on and leaft off conditions for individual tree species discrimination. The results em…