generate_lidar generate the lidar parameters used in TROLL lidar simulation. All parameters have a default value from literature.

generate_lidar(
  mean_beam_pc = 10,
  sd_beam_pc = 5,
  klaser_pc = 0.63,
  transmittance_laser = 0.4,
  iter_pointcloud_generation = NULL
)

Arguments

mean_beam_pc

num. Mean pulse density (pulses per m2).

sd_beam_pc

num. Standard deviation of pulse density (per m2).

klaser_pc

num. laser attenuation factor.

transmittance_laser

num. Percentage of pulses that continue through the canopy after a hit.

iter_pointcloud_generation

num. Number of iteration for point cloud generation.

Value

A [data.frame)] of lidar simulation parameters.

[data.frame)]: R:data.frame)

See also

Examples

generate_lidar(iter_pointcloud_generation = 3600)
#>                        param   value
#> 1               mean_beam_pc   10.00
#> 2                 sd_beam_pc    5.00
#> 3                  klaser_pc    0.63
#> 4        transmittance_laser    0.40
#> 5 iter_pointcloud_generation 3600.00
#>                                                                                                                      description
#> 1                                                                                       /* mean pulse density (pulses per m2) */
#> 2                                                                                             /* sd of pulse density (per m2) */
#> 3                                                           /* the k constant (reflecting geometric properties of the canopy) */
#> 4 /* percentage of pulses that continue through the canopy after a hit, multiply with klaser_pc to obtain an effective klaser */
#> 5                                                                                     /* iteration for point cloud generation */