Chinese researchers develop advanced tree segmentation method using UAV-LiDAR data, enhancing precision forestry.

The new technique combines multiscale adaptive local maximum filters and region-growing methods, surpassing previous segmentation accuracy.

Study emphasizes LiDAR's potential for 3D forest structure analysis and the necessity for precise tree segmentation in addressing forest threats.

Innovations include a hybrid method that merges CHM-based watershed and point-based spectral clustering to tackle segmentation challenges.

The research contributes to the evolution of forest resource management, aiming for more robust tree identification within diverse ecosystems.