Estimating wood quality attributes from dense airborne LiDAR point clouds-Reference-Cited by-同舟云学术

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Estimating wood quality attributes from dense airborne LiDAR point clouds

Published:2024 Issue: Volume:11 Page:100184
ISSN:2197-5620
Container-title:Forest Ecosystems
language:en
Short-container-title:Forest Ecosystems

Author:

Cattaneo Nicolas^ORCID,Puliti Stefano,Fischer Carolin,Astrup Rasmus

Publisher

Elsevier BV

Reference44 articles.

1. Predicting knot diameter of Pinus sylvestris in Sweden;Björklund;Scand. J. For. Res.,1999

2. Quantitative assessment of automatic reconstructions of branching systems obtained from laser scanning;Boudon;Ann. Bot.,2014

3. From TLS point clouds to 3D models of trees: a comparison of existing algorithms for 3D tree reconstruction;Bournez;Int. Arch. Photogramm. Remote Sens.,2017

4. Non-destructive tree volume estimation through quantitative structure modelling: Comparing UAV laser scanning with terrestrial LIDAR;Brede;Remote Sens. Environ.,2019

5. Random forests;Breiman;Mach. Learn.,2001

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