3-D voxel-based solid modeling of a broad-leaved tree for accurate volume estimation using portable scanning lidar

By Fumiki Hosoi, Y. Nakai, Kenji Omasa. 2013

123 citations recorded by the source corpus.

Subfields: Environmental Engineering, Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/5fdeefb30bc513ce67aa9d5c4701d891b13049d1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Kim Calders
2. J. Gastellu‐Etchegorry
3. Mathias I. Disney
4. Tiangang Yin
5. Sylvie Durrieu
6. Eloi Grau
7. Richard A. Fournier

In Nature and Landscape Conservation

1. J. Gastellu‐Etchegorry
2. Mathias I. Disney
3. Tiangang Yin
4. Sylvie Durrieu
5. Eloi Grau
6. Richard A. Fournier

In Plant Science

1. Mathias I. Disney
2. William Woodgate
3. P. Wilkes
4. Tiangang Yin
5. J. Gastellu‐Etchegorry
6. Sylvie Durrieu
7. Eloi Grau
8. Richard A. Fournier

Citations in the corpus

• Leaf and wood classification framework for terrestrial LiDAR point clouds (2019, result): “This is supported by Hosoi, Nakai, and Omasa (2013), who stated that derivation of Leaf Area Density is affected by the separation of leaf and wood material in a point cloud.”
• Estimation of 3D vegetation density with Terrestrial Laser Scanning data using voxels. A sensitivity analysis of influencing parameters (2017, methodology): “Also, Côté et al. (2009), Côté et al. (2011), Hosoi et al. (2013), Hosoi and Omasa (2006) and Xu et al. (2007) used TLS scans in order to reconstruct trees or stands using the simulation of tree architecture (stem, branch, and foliar elements).”