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LAD

Leaf area density


Description

Computes a leaf area density profile based on the method of Bouvier et al. (see reference)

Usage

LAD(z, dz = 1, k = 0.5, z0 = 2)

Arguments

z

vector of positive z coordinates

dz

numeric. The thickness of the layers used (height bin)

k

numeric. is the extinction coefficient

z0

numeric. The bottom limit of the profile

Details

The function assesses the number of laser points that actually reached the layer z+dz and those that passed through the layer [z, z+dz] (see gap_fraction_profile). Then it computes the log of this quantity and divides it by the extinction coefficient k as described in Bouvier et al. By definition the layer 0 will always return infinity because no returns pass through the ground. Therefore, the layer 0 is removed from the returned results.

Value

A data.frame containing the bin elevations (z) and leaf area density for each bin (lad)

References

Bouvier, M., Durrieu, S., Fournier, R. a, & Renaud, J. (2015). Generalizing predictive models of forest inventory attributes using an area-based approach with airborne las data. Remote Sensing of Environment, 156, 322-334. http://doi.org/10.1016/j.rse.2014.10.004

See Also

Examples

z <- c(rnorm(1e4, 25, 6), rgamma(1e3, 1, 8)*6, rgamma(5e2, 5,5)*10)
z <- z[z<45 & z>0]

lad <- LAD(z)

plot(lad, type="l", xlab="Elevation", ylab="Leaf area density")

lidR

Airborne LiDAR Data Manipulation and Visualization for Forestry Applications

v3.1.2
GPL-3
Authors
Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015() for segment_snags()), Bourdon Jean-François [ctb] (Contributed to Roussel2020() for track_sensor()), Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for track_sensor())
Initial release
2021-03-11

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