  The popularity of LiDAR devices and sensor technology has gradually empowered
users from autonomous driving to forest monitoring, and research on 3D LiDAR
has made remarkable progress over the years. Unlike 2D images, whose focused
area is visible and rich in texture information, understanding the point
distribution can help companies and researchers find better ways to develop
point-based 3D applications. In this work, we contribute an unreal-based LiDAR
simulation tool and a 3D simulation dataset named LiDAR-Forest, which can be
used by various studies to evaluate forest reconstruction, tree DBH estimation,
and point cloud compression for easy visualization. The simulation is
customizable in tree species, LiDAR types and scene generation, with low cost
and high efficiency.
