toc.rugosity: Convert canopy height model into a top of canopy rugosity...

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

Convert canopy height model into a top of canopy rugosity raster

Description

This function reads in a the CHM previously calculated and determines the amount of empty space at the top of the canopy compared to the other trees within a 3x3 moving window. The output is the volume of this area.

Usage

toc.rugosity(chm.raster, xy.res, z.res)

Arguments

chm.raster	CHM that was generated using the array.to.ground.and.canopy.rasters function.
xy.res	Horizontal resolution of the CHM raster - if it is 10x10 meters then enter 10
z.res	vertical resolution of the original LAD estimates - if it is 1 meter then enter 1

Details

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 raster showing the volume of empty space at the top of the canopy.

akamoske/canopyLazR documentation built on Aug. 28, 2023, 3:30 a.m.