Science Direct recently published a scientific journal authored by Moritz Bruggisser, Markus Hollaus, Johannes Otepka and Norbert Pfeifer. The journal goes into technical detail about how LiDAR can automatically detect the positions of tree trunks.
Experts have been doing extensive research in order to determine corresponding diameter at breast height (DBH) for assessing the shape of tree trunks from 3D point clouds from unmanned aerial laser scanning (ULS). The projects are carried out with point clouds from a RIEGL miniVUX-1DL and the RIEGL VUX-1UAV. The results of these projects indicate that “the autonomous stem detection recognizes 91.0% and 77.6% of the stems, respectively, and that the DBH can be modeled with biases of 2.86 cm and 0.95 cm for 80.6% and 61.2% of the trees, when compared to field measurements.”
The findings of the study will be able to further assist in evaluating the potential ULS has for forest monitoring and management. This will allow for future conclusions regarding the required point cloud data, which fulfill the requirements for operational applications in forest inventories.
Please click the link below for the full technical article.
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