Silvilaser 2019 - Poster Presentations »
EXTRACTION OF BIOPHYSICAL PARAMETERS USING TERRESTRIAL LASER SCANNER IN A SAMPLE OF Pinus taeda L.
Biophysical parameters Retrieval using Terrestrial Laser Scanning Profiling data over a Pinus taeda L. stand. Retrieving biophysical parameters in a Pinus taeda L. stand using Terrestrial Laser Scanning (TLS). This manuscript presents the major results of the retrieval of biophysical parameters derived from a 3D cloud point collected by a Light and Detection and Ranging (LiDAR) terrestrial platform. The study area is a planted forest stand of Pinus taeda L. with 17 years with a regular spacing of 2 by 2m designated for pulp and paper production. Data processing was performed using the software Scene, CloudCompare, and Python. Both automatic tree detection and diameter at the breast height (DBH) parameters were extracted using voxels with different size dimensions. Additionally, filtering techniques were evaluated to remove both duplicated and redundant points. The results derived by terrestrial LiDAR were compared to those obtained by conventional continuous forest inventory methods. The automatic tree detection was able to detect 100% of the trees of the selected forest stand unit. Voxel with the dimension of 0,43 (m) x 0,43(m) x NH (m) showed the best performance for the DBH retrieval with r²= 0,78 and r= 0,86. Filtering removing factors of 1.5cm, 2.5 cm and 3.5cm were similar at the significance level of 0.05. Both methodology and results showed promising perspectives for the LiDAR terrestrial measurements for counting trees and retrieving DBH. Future studies should be addressed in height determination and volume retrievals.