The integration of the terrestrial and airborne laser scanning technologies in the semi-automated process of retrieving selected trees and forest stand parameters / Integração das tecnologias terrestre e aerotransportada de scanner laser no processo semi-automático de recuperação de árvores selecionadas e de parâmetros de povoamentos florestais

Piotr Wężyk


The traditional forest inventory based usually on thousands of the circle plots (radius = 12.62m; area 500 sq m) set in regular network. On every inventory plot, the basic tree and forest stand parameters have to be collected using calliper and hypsometer or even human eye (i.e. crown closure) as well. The modern multifunctional forestry models requires more and more: dens and accurate data to deliver as fast as possible the precise information on the amount of wood stock or other selected forest stand and tree parameters. One of the promising remote sensing technologies is LiDAR collecting the 3D point cloud data. The TLS technology is very precise and fast but is limited to relatively small areas like forest inventory plot. The ALS is more focused on wide-area data collection. Both technologies are complementary, therefore it is a need for the fusion of those two sources of information to enhance the accuracy of tree parameters and enlarge the results for the wide forest areas with statistical models. Paper presents a method of the TLS and ALS point cloud registration and transformation to one coordinate system. The goal of the data fusion was the semi-automatic extraction of the trees selected parameter (height, DBH, basal area, crown closure, base of crown, 2D and 3D tree crown surface) of the TR2 transect in Niepolomice Forest (Krakow, Poland). The results showed that the big potential of the enhancement of height and crown closure or base of the crown exists.
Author Piotr Wężyk (FoF / IoFRM / DoFDGaEoF)
Piotr Wężyk,,
Journal seriesRevista Ambiência, ISSN 1808-0251, e-ISSN 2175-9405, (0 pkt)
Issue year2012
Publication size in sheets0.75
Keywords in EnglishTLS; ALS; LiDAR point clouds integration; forest taxation parameters
Languageen angielski
Score (nominal)0
Score sourcejournalList
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