5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 5 cited
Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset
Stefano Puliti, Emily R. Lines, Jana Müllerová +30
Proximally-sensed laser scanning offers significant potential for automated forest data capture, but challenges remain in automatically identifying tree species without additional…
q-bio.QM2023
Comparative analysis of taper models for Pinus nigra: A study across parametric, semi-parametric, and non-parametric models using terrestrial laser scanner acquired data
Issam Boukhris, Nicola Puletti, Christian Vonderach +4
Taper equations are indispensable tools for characterizing the stem profile of trees, providing valuable insights for forest management, timber inventory, and optimal assortments a…