An accurate forest inventory is crucial for forest monitoring and quantifying forest aboveground biomass (AGB). This study aimed to investigate the feasibility of Terrestrial Laser Scanning (TLS) in forest inventory and AGB estimation in the tropical forest of Malaysia. Individual trees were detected using manual and automatic detection methods. An average tree detection rate of 99.55% and 93.75% were achieved using the manual and automatic detection method respectively. The accuracy of the diameter at breast height (DBH) of trees measured from TLS was validated using field DBH as reference. A root means square error (RMSE) of 1.37 cm (6.60%) and 2.36 cm (11.47%), respectively, were obtained for manually and automatically measured TLS DBH. Similarly, TLS based tree height was validated using Airborne Laser Scanner (ALS) height as a reference and resulted in RMSE of 1.74 m (9.30%) and 3.17 m (17.40%) with manual and automatic method respectively. Finally, AGB was calculated using the variables derived from the TLS data. Results show an R² value of 0.98 and RMSE of 0.08 Mg. The results of this study confirmed that TLS as a nondestructive approach can provide a very good estimation of forest attributes and AGB in the dense tropical forest conditions.

准确的森林清单对于森林监测和定量森林地上生物量（AGB）至关重要。这项研究的目的是调查马来西亚热带森林中森林激光清查和AGB估算中地面激光扫描（TLS）的可行性。使用手动和自动检测方法检测单个树。使用手动和自动检测方法的平均树检测率分别达到99.55％和93.75％。使用字段DBH作为参考，验证了通过TLS测量的树木的胸高直径（DBH）直径的准确性。对于手动和自动测量的TLS DBH，均方根误差（RMSE）分别为1.37 cm（6.60％）和2.36 cm（11.47％）。同样，使用机载激光扫描仪（ALS）高度作为参考验证了基于TLS的树高，采用手动和自动方法得出的RMSE分别为1.74 m（9.30％）和3.17 m（17.40％）。最后，使用从TLS数据得出的变量来计算AGB。结果显示R ²值为0.98，RMSE为0.08 Mg。这项研究的结果证实，TLS作为一种非破坏性方法可以很好地估计茂密热带森林条件下的森林属性和AGB。