Individual Tree Detection

Precise mapping of urban green spaces is critical for sustainable development of urban ecosystem.This study proposes an object-based labelling framework for individually delineating tree canopy clusters in urban green spaces from airborne LiDAR dataset.The results indicate the possibility of delineating multiple tree canopies which are overlapped, a situation which often leads to erroneous results from optical imagery. The delineated trees can be used for extracting various structural parameters for efficient monitoring of green space