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FORTLS

Automatic Processing of TLS Point Cloud Data for Forestry Purposes

Process automation of Terrestrial Laser Scanner (TLS) point cloud data derived from single scans. 'FORTLS' enables (i) detection of trees and estimation of diameter at breast height (dbh), (ii) estimation of some stand variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories (FIs) at stand level and (iv) optimization of plot design for combining TLS data and field measured data. Documentation about 'FORTLS' is described in Molina-Valero et al. (2020, https://doi.org/10.3390/IECF2020-08003).

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Install

install.packages('FORTLS')

Monthly Downloads

690

Version

1.0.6

License

GPL-3

Issues

0

Pull Requests

0

Stars

25

Forks

7

Maintainer

Juan Alberto Molina-Valero

Last Published

November 6th, 2021

Functions in FORTLS (1.0.6)

distance.sampling

Distance Sampling Methods for Correcting Occlusions Effects
Rioja.data

Inventoried Plots Data for a Stand Case Study in La Rioja
estimation.plot.size

Assess Consistency of Metrics for Simulated TLS Plots
FORTLS-package

FORTLS: Automatic processing of TLS point cloud data for forestry purposes
correlations

Correlation Between Field Estimations and TLS Metrics
fixed_area_cpp

Calculate dominant diameters and heights for simulations for angle-count plots.
k_tree_cpp

Calculate dominant diameters and heights for simulations for angle-count plots.
height_perc_cpp

Calculate dominant diameters and heights for simulations for angle-count plots.
Rioja.simulations

Simulated Metrics and Variables for a Stand Case Study in La Rioja
angle_count_cpp

Calculate dominant diameters and heights for simulations for angle-count plots.
metrics.variables

Compute Metrics and Variables for TLS Plots
tree.detection.multiple

Tree Detection and Cross Section Estimation for Multiple Plots
tree.detection

Tree Detection and Cross Section Estimation
relative.bias

Relative Bias Between Field Estimations and TLS metrics
simulations

Compute Metrics and Variables for Simulated TLS and Field Plots
ncr_point_cloud_double

Calculate dominant diameters and heights for simulations for angle-count plots.
optimize.plot.design

Optimize Plot Design Based on Optimal Correlations
normalize

Relative Coordinates and Density Reduction for TLS Point Clouds
weighted_mean_arit

Calculate weighted arithmetic mean.
weighted_mean_harm

Calculate weighted harmonic mean.
weighted_mean_geom

Calculate weighted geometric mean.
weighted_mean_sqrt

Calculate weighted quadratic mean.