ENL: Computes the effective number of layers (ENL) after Ehbrecht...
In spatial-mk/tre3d: Antarctic Pinguin Measurements
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Computes the effective number of layers (ENL) after Ehbrecht et al. 2017
Usage
1
Arguments
input_cloud
A 3D point cloud file, e.g. "tree1.xyz".
Assumes first three columns to be x y z without header. Futher columns are ignored.
voxel_size
Voxel size (in meter) for ENL computation. Default 0.1 m.
slice_thickness
Thickness (in meter) of vertical layers for ENL computation. Default 0.5 m.
Value
ENL value
Author(s)
Matthias Kunz, last updated: 27.04.2019
Examples
1
spatial-mk/tre3d documentation built on April 1, 2020, 5:26 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Computes the effective number of layers (ENL) after Ehbrecht et al. 2017
Usage
1 |
Arguments
input_cloud |
A 3D point cloud file, e.g. "tree1.xyz". Assumes first three columns to be x y z without header. Futher columns are ignored. |
voxel_size |
Voxel size (in meter) for ENL computation. Default 0.1 m. |
slice_thickness |
Thickness (in meter) of vertical layers for ENL computation. Default 0.5 m. |
Value
ENL value
Author(s)
Matthias Kunz, last updated: 27.04.2019
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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