canopy.volume: Convert LAD estimates into fives rasters explaining the...

View source: R/canopyvolume.R

canopy.volumeR Documentation

Convert LAD estimates into fives rasters explaining the volume and total leaf area of the euphotic (portion of the canopy where 65 of empty space within the canopy (from top of the canopy the ground)

Description

This function reads in a the LAD estimates that were previously calculated, calculates the height cutoff for the euphotic zone, calculates the volume and total leaf area of this portion of the canopy and then does the same for the remaining canopy. It then returns 5 rasters

Usage

canopy.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

Horizontal resolution of each voxel - if it is 10x10 meters then just enter 10

z.res

Vertical resolution of each voxel - if it is 1 meter then just enter 1

epsg.code

EPSG code so that the rasters can be projected into the appropriate projection

Details

This function also uses a 3x3 moving window to calculate the volume of the euphotic, oligophotic, and empty zones within the moving window. This returns 5 additional rasters, one for each variable.

These forest structure attributes are based off calculations from:

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 the quantile and mean rasters.


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