canopy.porosity.filled.volume: Convert LAD estimates into two rasters - volume of filled...

In akamoske/LiDARforestR: R library for estimating leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds

Convert LAD estimates into two rasters - volume of filled canopy and volume of canopy porosity

Description

This function reads in a the LAD estimates that were previously calculated, finds the volume of voxels in a given column that contain a LAD estimate and the volume of voxels in a given column that are empty (i.e. no LAD estimates). The output is a list containing two rasters, one for each calcuation.

Usage

canopy.porosity.filled.volume(lad.array, laz.array, ht.cut, xy.res, z.res,
  epsg.code)

Arguments

lad.array	LAD estimate array that was generated using the machorn.lad function.
laz.array	Voxelized LiDAR array that was generated using the laz.to.array function. This contains spatial information for all arrays.
ht.cut	Height that calculations will exclude. This is to remove understory LAD estimates from further calculations. If 5 is entered then all voxels 5 meters and above will be included. Enter 0 if you want to include all calculations
xy.res	Resolution of xy coordinates - if it is a 10x10 meter pixel then enter 10 here
z.res	Vertical resolution of voxel - if it is 1 meter tall then enter 1
epsg.code	EPSG code so that the rasters can be projected into the appropriate projection

Details

These forest structure attributes are based off calculations from:

Hardiman, B., Bohrer, G., Gough, C., & Curtis, P. (2013). Canopy structural changes following widespread mortality of canopy dominant trees. Forests, 4, 537-552. https://doi.org/10.3390/f4030537

Lefsky, M.A., Cohen, W.B., Acker, S.A., Parker, G.G., Spies, T.A., and Harding, D. (1999). Lidar Remote Sensing of the Canopy Structure and Biophysical Properties of Douglas-Fir Western Hemlock Forests. Remote Sensing of the Environment, 70, 339-361. https://doi.org/10.1016/S0034-4257(99)00052-8

Value

A list containing max LAD and height of max LAD rasters.

akamoske/LiDARforestR documentation built on Aug. 31, 2023, 1:33 a.m.