一般估算樹木的材積,常利用材積式進行推估,其過程需伐倒林木分段量測,屬破壞性調查且不但耗時費力。近來地面光達技術快速發展,利用光達點雲建立林木立體模型,進行材積估算,可避免砍伐林木,更能精確量測,可快速建立材積式。本研究旨在探討光達點雲資料在都市林木材積測計之應用,驗證TreeQSM演算法是否適用建立臺灣都市林木材積推估模式,及驗證準確性。結果顯示,比較現地量測、點雲人工量測與TreeQSM估算的胸高直徑、樹高及主幹材積皆無顯著差異,證實TreeQSM確可應用於都市林木材積推估,並建立配適良好的材積式,成為都市林木測計重要工具。
Generally, the volume of trees is often estimated using the tree volume equations, and the process of establishing the volume equations requires the measurement of the felled timber segments, which is a destructive investigation that is not only time-consuming and laborious, but also loses valuable trees. Due to the rapid development of Ground-based LiDAR technology, the use of LiDAR point cloud to establish a three-dimensional model of forest trees for volume estimation not only avoids felling trees, but also can accurately measure and quickly calculate tree volume. This study aims to explore the application of lidar point cloud data in urban tree volume measurement, and verify whether the TreeQSM algorithm is suitable for establishing an urban tree volume estimation model and verifying accuracy in Taiwan. The results showed that there were no significant differences in chest height diameter, tree height and trunk timber volume between in-situ measurement, point clouds manual measurement and TreeQSM estimation, which confirmed that TreeQSM could indeed be applied to urban tree volume estimation and establish a well-adapted timber volume equations, which can conform to the estimation and use of urban tree volume, and become an important tool for urban tree measurement.