2011
DOI: 10.1016/j.agrformet.2011.05.004
|View full text |Cite
|
Sign up to set email alerts
|

Estimating leaf area distribution in savanna trees from terrestrial LiDAR measurements

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

4
179
0
2

Year Published

2013
2013
2023
2023

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 227 publications
(217 citation statements)
references
References 28 publications
4
179
0
2
Order By: Relevance
“…However, other better-performing crown base metrics may be identified in the future, perhaps using laser intensity data to identify live crown. Seielstad et al (2011) andBéland et al (2011) have each shown that laser intensity data can be used to distinguish foliage from branch wood in both conifer and broadleaf specimens using similar instruments and techniques.…”
Section: Discussionmentioning
confidence: 99%
“…However, other better-performing crown base metrics may be identified in the future, perhaps using laser intensity data to identify live crown. Seielstad et al (2011) andBéland et al (2011) have each shown that laser intensity data can be used to distinguish foliage from branch wood in both conifer and broadleaf specimens using similar instruments and techniques.…”
Section: Discussionmentioning
confidence: 99%
“…However, similar to the α‐value, the voxel size has to be chosen with care as it can have a significant effect on the measured property, in particular when computing volumes. With respect to tree crowns, voxel grids have been used to compute leaf area index and foliage (Béland, Widlowski, Fournier, Côté, & Verstraete, 2011), crown plasticity (Seidel, Leuschner, Müller, & Krause, 2011), crown competition (Metz et al., 2013), and CVs (Fernández‐Sarría et al., 2013; Metz et al., 2013). Often, α‐shape and voxel grid approaches are used in combination (Fernández‐Sarría et al., 2013; Metz et al., 2013; Seidel et al., 2011), mainly because they enable faster point cloud processing and simplification.…”
Section: Introductionmentioning
confidence: 99%
“…The new approach presented in this research, referred to as the 'intensity-based' method, defines gap fraction in a given angular range (GF) as (Equation (2)): (2) where m indicates the number of laser hits expected (with no gaps) and Int corrected refers to intensity values corrected with respect to the ranging information recorded by TLS. Assuming that canopy elements present Lambertian scattering properties, intensity values captured by LiDAR systems are dependent on the target reflectance, the portion of the laser beam occupied by the target and the distance from the sensor at which they are triggered [22].…”
Section: Background Theorymentioning
confidence: 99%