Precision forestry is a useful technique to help forest stakeholders with proper sustainable
forest management. Modern sensors and technologies, with special reference to the …

Individual tree segmentation from airborne laser scanning data is a longstanding and
important challenge in forest remote sensing. Tree segmentation algorithms are widely …

Accurate identification and segmentation of individual tree points are crucial for assessing
forest spatial distribution, understanding tree growth and structure, and managing forest …

ABSTRACT Accurate Individual Tree Segmentation (ITS) is fundamental to fine-scale forest
structure and management studies. Light detection and ranging (Lidar) from Unoccupied …

Abstract Unmanned Aerial Vehicles (UAVs) have been widely used in agriculture and forest
management with high cost-effectiveness. While numerous reviews have explored UAVs in …

The width of individual tree crowns is a critical parameter of canopy structure that can
indirectly determine the stand diameter at breast height, tree height, competition, and …

Individual tree detection using airborne laser scanning (ALS) can provide relevant data to
complement forest inventory data. Local Maxima-based (LM) methods for individual tree …

Individual tree segmentation (ITS), or tree counting, is a fundamental work in precision
forestry and agriculture processes. Rather than the time-consuming and labor-intensive …

Individual tree detection and counting in unmanned aerial vehicle (UAV) imagery constitute
a vital and practical research field. Vegetation remote sensing captures large-scale trees …

Diameter at breast height (DBH) is a crucial parameter for forest inventory. However,
accurately estimating DBH remains challenging due to the noisy and incomplete cross …