leaf_area_density: Reconstruct leaf area density (LAD) from lidar point clouds

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

Reconstruct leaf area density (LAD) from lidar point clouds

Description

Function to reconstruct leaf area density (LAD) per volume based on the MacArthur-Horn equation, which inverts the Beer-Lambert principle of light extinction. It provides an estimate of LAD per voxel.

Usage

leaf_area_density(
  pc,
  xy.res = 1,
  z.res = 1,
  k = 1,
  normalized = F,
  ground.class = 2
)

Arguments

pc	Point cloud in data.table, data.frame or LAS format (important: column names need to be X, Y and Z)
xy.res	Side length of a voxel in the horizontal plain
z.res	Side length of a voxel in vertical direction
k	Conversion coefficient (light extinction coefficient)
normalized	Boolean whether the point cloud is terrain normalized or not. For normalized point clouds all points of height < 0.5 m are considered ground points. For non-normalized point clouds a column "Classification" is required and ground points should be labelled.
ground.class	Only required for non-normalized point clouds. It provides the numeric code of ground points in the "Classification" column. The standard value is 2.

Value

data.table with each row representing one voxel. Coordinates represent voxel centers and LAD and cumulative LAI are given for each voxel

Author(s)

Nikolai Knapp

Examples

in progress

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