Forested environments are subject to large and high intensity unplanned fire events, owing
to, among other factors, the high quantity and complex structure of fuel in these …

Accurate segmentation of individual tree crowns (ITCs) from airborne light detection and
ranging (LiDAR) data remains a challenge for forest inventories. Although many ITC …

Nowadays, LiDAR is widely used for individual tree detection, usually providing higher
accuracy in coniferous stands than in deciduous ones, where the rounded-crown, the …

In recent years, many airborne point clouds filtering methods have been developed.
However, it is still challenging for distinguishing ground and non-ground points in forested …

UAV laser scanning (ULS) has the potential to support forest operations since it provides
high-density data with flexible operational conditions. This study examined the use of ULS …

The installation of research or permanent plots is a very common task in growth and forest
yield research. At young ages, tree height is the most commonly measured variable, so the …

Over an extended period, remote-sensing-based individual tree analysis has played a
critical role in modern forest inventory and management research. The segmentation of …

Individual tree identification is a key step for forest surveying and monitoring. To identify
individual trees with airborne LiDAR data, a local maximum (LM) filter technique is typically …

Automatic tree crown segmentation from remote sensing data is especially challenging in
dense, diverse, and multilayered tropical forest canopies, and tracking mortality by this …

In this paper, we present a simple, efficient, and robust algorithm for 2D coarse registration
of two point clouds. In the proposed algorithm, the locations of some distinct objects are …