RT Journal Article
T1 Automatic tree detection and attribute characterization using portable terrestrial lidar
A1 Solares Canal, Ana
A1 Alonso Martinez, Laura
A1 Picos Martín, Juan
A1 Armesto González, Julia
K1 5401.01 Distribución de Recursos Naturales
K1 2506.16 Teledetección (Geología)
K1 3106 Ciencia Forestal
AB Currently, the implementation of portable laser scanners (PLS) in forest inventories is being studied, since they allow for significantly reduced field-work time and costs when compared to the traditional inventory methods and other LiDAR systems. However, it has been shown that their operability and efficiency are dependent upon the species assessed, and therefore, there is a need for more research assessing different types of stands and species. Additionally, a few studies have been conducted in Eucalyptus stands, one of the tree genus that is most commonly planted around the world. In this study, a PLS system was tested in a Eucalyptus globulus stand to obtain different metrics of individual trees. An automatic methodology to obtain inventory data (individual tree positions, DBH, diameter at different heights, and height of individual trees) was developed using public domain software. The results were compared to results obtained with a static terrestrial laser scanner (TLS). The methodology was able to identify 100% of the trees present in the stand in both the PLS and TLS point clouds. For the PLS point cloud, the RMSE of the DBH obtained was 0.0716, and for the TLS point cloud, it was 0.176. The RMSE for height for the PLS point cloud was 3.415 m, while for the PLS point cloud, it was 10.712 m. This study demonstrates the applicability of PLS systems for the estimation of the metrics of individual trees in adult Eucalyptus globulus stands.
PB Trees
SN 09311890
YR 2023
FD 2023-06
LK http://hdl.handle.net/11093/5211
UL http://hdl.handle.net/11093/5211
LA eng
NO Trees, 37, 963-979 (2023)
NO Agencia Estatal de Investigación | Ref. PID2019-111581RB-I00
DS Investigo
RD 18-sep-2024