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
)
num. Mean pulse density (pulses per m2).
num. Standard deviation of pulse density (per m2).
num. laser attenuation factor.
num. Percentage of pulses that continue through the canopy after a hit.
num. Number of iteration for point cloud generation.
A [data.frame)] of lidar simulation parameters.
[data.frame)]: R:data.frame)
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 */