Multi temporal three dimensional [3D] analysis of tree height at FRIM Forest / Nurnajihah Othman

Forest monitoring tools are required by Michez et al. (2020) to promote successful and data-driven forest monitoring. This is due to land management and forest strategies. Nature is the primary source for humans to live in prosperity. Climate change that often results from unrestrained human activities has become a problem. For this reason, the best method to detect this problem also becomes an issue to resolve. Therefore, the forests play a vital role as a carbon mitigating and controlling the ecosystem. This study aims to produce the three-dimensional (3D) analysis structure comprised of height using the Airborne LiDAR dataset for the FRIM forest area. At the same time, the structures include tree crowns and the height of the canopy. Besides that, LiDAR data is a suitable data for this study to do an estimated percentage of Canopy Height Model (CHM) in the forest. The objective of this study is to produce the canopy height model (CHM) for the years 2009 and 2013 using LiDAR data and to produce the 3D single tree’s height using FUSION software. Following this, the Airborne LiDAR is one of the best methods to research this study. Thereby, this method is believed to provide more accurate data in the 3D analysis.