LiDAR-based individual tree AGB modeling of Pinus kesiya var. langbianensis by incorporating spatial structure

作者：Zhi Liu, Xiaoli Zhang, Yong Wu, Yazhou Xu, Zhifeng Cao, Zhibo Yu, Zihang Feng, Hongbin Luo, Chi Lu, Weibin Wang, Guanglong Ou · 发表于：Ecological Indicators · 年份：2024 · DOI：10.1016/j.ecolind.2024.112973 · 被引用次数：7 · 研究领域：Remote Sensing and LiDAR Applications、Forest ecology and management、Forest Ecology and Biodiversity Studies

• UAV-LiDAR-based AGB estimation without DBH meets accuracy requirements. • Integrating spatial structure enhances UAV-LiDAR AGB model performance. • The uniform angle index improves UAV-LiDAR AGB model optimization. • UAV-LiDAR enables rapid and precise AGB estimation from tree to stand level. Accurate and efficient estimation of individual tree aboveground biomass (AGB) is crucial for precision forestry and forest carbon stock assessment. While the influence of spatial structure on biomass is acknowledged, its integration into individual tree AGB models for enhancing accuracy remains equivocal. The UAV-LiDAR data and individual tree AGB destructively measured of natural Pinus kesiya var. langbianensis were collected from 2022 to 2023. First, Individual tree attributes and spatial structures were extracted and evaluated from LiDAR data. Then, two AGB models were developed and compared: one independent of diameter at breast height (DBH) and another incorporating stand spatial structure parameters, including the uniform angle index (W), neighborhood comparison (U), stand level rate (S i ), and competition index (UC i ). The results showed that AGB models can be effectively constructed based on canopy features alone, even without the inclusion of DBH. The accuracy of individual tree AGB models was improved when spatial structure parameters were incorporated. In particular, the introduction of angular scales improved the accuracy of the AGB model most significantly. On average, ...