make_lidarscan: Scan a voxel forest with a virtual Lidar

In niknap/slidaRtools: Tools for lidar simulation and lidar processing

Scan a voxel forest with a virtual Lidar

Description

Function that simulates a Lidar point cloud of a given voxel forest and writes it to a file in XYZ-table format. The model uses a Beer-Lambert light extinction approach and interprets it as probability to get a Lidar return from a voxel.

Usage

make_lidarscan(
  vxf.dt,
  P0.AGR = 0.2,
  P0.GR = 0.2,
  k = 0.2,
  LAD.prefactor = F,
  prob.out = F
)

Arguments

vxf.dt	data.table containing the voxel forest (derived from make.voxelforest.dt function)
P0.AGR	Initial return probability for above ground voxels
P0.GR	Initial return probability for ground voxels
k	Light extinction coefficient
LAD.prefactor	Boolean to specify whether leaf area density (LAD) of a voxel should be multiplied with P0 to get final return probability or not
prob.out	Boolean to specify whether an additional output containing the full voxelforest with information on canopy above and Lidar return probability for each voxel should be produced

Value

data.table object containing a XYZ-table of discrete Lidar returns (point cloud). If prob.out=T the function will return a list containing two data.tables: 1) the Lidar point cloud and 2) the voxel forest with Lidar return probability info.

Author(s)

Nikolai Knapp

Examples

in progress

niknap/slidaRtools documentation built on Oct. 16, 2024, 3:53 p.m.