EGU24-12375, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-12375
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

3DFin: a software for 3D Forest Inventory in Terrestrial Point Clouds

Carlos Cabo1, Diego Laino2, Romain Janvier3, Covadonga Prendes4, Celestino Ordonez1, Tadas Nikanovas2, Stefan Doerr2, and Cristina Santin5
Carlos Cabo et al.
  • 1Department of Mining Exploitation and Prospecting, University of Oviedo, Mieres, Spain (carloscabo@uniovi.es)
  • 2Centre for Wildfire Research, Swansea University, Swansea, United Kingdom
  • 3External consultant, France
  • 4Forest and Wood Technology Research Centre Foundation (CETEMAS), Pumarabule, Spain
  • 5Research Institute of Biodiversity, CSIC-University of Oviedo-Principality of Asturias, Mieres, Spain

Forest inventory, the systematic collection of data and information on a given forested area, is a key tool for sustainable forest management. Remote sensing technologies, especially terrestrial-based ones, are increasingly used to carry out these inventories, as they provide detailed and precise 3D measurements of the forest in the form of point clouds. Here we present ‘3DFin’, a recently developed software that automatically derives tree metrics from terrestrial point clouds. 3DFin automatically computes key forest inventory parameters, such as tree Total Height (TH), Diameter at Breast Height (DBH), and tree location. To maximize its reach, and make it accessible to wider audiences, 3DFin has been developed as a free, open-source program. It features an user-friendly graphical user interface and is available as a standalone software in Windows and, also, as a plugin in CloudCompare and QGIS. In this presentation we will show the performance of this software, presenting tests carried out in terrestrial, hand-held and photogrammetric point clouds across different forest conditions.

 

How to cite: Cabo, C., Laino, D., Janvier, R., Prendes, C., Ordonez, C., Nikanovas, T., Doerr, S., and Santin, C.: 3DFin: a software for 3D Forest Inventory in Terrestrial Point Clouds, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12375, https://doi.org/10.5194/egusphere-egu24-12375, 2024.