MODELING LIDAR CLOUD POINT TO ESTIMATE TREE HEIGHT AND DELINEATION OF TREE CROWN FOR SELECTED VEGETATION IN SUB-URBAN KLUANG, JOHOR

摘要

This work investigates the potential use of LiDAR fullwave form for characterization of vegetation such as oil palm and forest at Kluang, Johor. The aim of this study is to use LiDAR data to obtain the tree height and delineate the tree crown. The pre-processing part is to generate a Digital Surface Model (DSM) and Digital Terrain Model (DTM). The DSM was generated from LiDAR first return, while DTM was generated from LiDAR last return. Then, the subtraction of DSM and DTM was carried out to derive the estimation of Canopy Height Model (CHM). Next, for delineation of the tree crown, watershed segmentation method has been applied using Arc Gis 10.1 software. The precise measurement of variables tree height and tree crown are very crucial and related to other ecological studies. In the end, the results revealed that there is significant correlation between tree height from LiDAR data and ground measurements with R~2 for forest and oil palm is 0.89 and 0.85 respectively. For the accuracy assessment of the tree crown, the D value for the goodness segmentation crown of forest and oil palm is 0.38 and 0.46 respectively. This suggests that active sensor LiDAR fullwave form is suitable for characterize the vegetation types in suburban areas.