lidaRtRee4.0.8 package

Forest Analysis with Airborne Laser Scanning (LiDAR) Data

aa_las_chablais3

Load las_chablais3

aba_build_model

Calibrates and validates area-based models

aba_combine_strata

Combines a list of ABA models into a single ABA model object

aba_inference

computes inference from area-based model and predicted values

aba_metrics

Function for area-based metrics computation

aba_plot

Plots observed VS values predicted in leave one out cross validation o...

aba_predict

Mapping of ABA prediction models

add_vegetation_indices

Add vegetation indices on a IRC image

boxcox_itr_bias_cor

Inverse Box-Cox transformation with bias correction

boxcox_itr

Inverse Box-Cox transformation

boxcox_tr

Box-Cox Transformation

cimg2Raster

Cimg to SpatRaster conversion

circle2Raster

Raster corresponding to circle extent

clean_raster

Applies thresholds and mask to a raster object

clouds_metrics

Computes metrics on list of point clouds

clouds_tree_metrics

Computes metrics on trees detected in list of point clouds.

convert_raster

Raster format conversion

coregistration

Tree inventory and canopy height model coregistration

create_disk

Disk-shaped matrix mask

dem_filtering

Image pre-processing (non-linear filtering and Gaussian smoothing)

edge_detection

Edge detection in gap image

ellipses4Crown

Create elliptical polygons from centres and extensions in four directi...

gap_detection

Gap detection in a Canopy Height Model

height_regression

Regression of detected heights VS reference heights

hist_detection

Histogram of detection

hist_stack

Stacked histogram

las_chablais3

las data in France (Chablais 3 plot)

lma_check

Checks linear model assumptions of a multiple regression model

maxima_detection

Local maxima extraction on image

maxima_selection

Image maxima selection based on values and neighborhood of local maxim...

plot_matched

Plot of matched pairs of detected and reference trees

plot_tree_inventory

Displays a map of tree inventory data

pointList2poly

Convert a list of points into spatial polygons object

points2DSM

Digital Surface Model

points2DTM

Digital Terrain Model

polar2Projected

Polar to cartesian coordinates conversion

raster_chull_mask

Raster mask of convex hull

raster_local_max

Statistics of raster local maximum

raster_metrics

Computes metrics by aggregating a raster at lower resolution or summar...

raster_xy_mask

Raster mask by union of buffers around xy positions

raster_zonal_stats

Image statistic in segment

raster2Cimg

SpatRaster to Cimg conversion

rasters_moving_cor

Correlation between rasters for different XY translations

rasters2Cor

Correlation between two rasters

seg_adjust

Modification of segments based on values

segmentation

Image segmentation by seed-based watershed algorithm

species_color

Table of species names, abreviations and display colors

std_tree_metrics

Computation of tree metrics

terrain_points_metrics

Computation of terrain metrics

tree_detection

Tree detection

tree_extraction

Tree extraction

tree_matching

3D matching of detected tree top positions with reference positions

tree_segmentation

Preprocessing and segmentation of raster image for tree identification

Provides functions for forest objects detection, structure metrics computation, model calibration and mapping with airborne laser scanning: co-registration of field plots (Monnet and Mermin (2014) <doi:10.3390/f5092307>); tree detection (method 1 in Eysn et al. (2015) <doi:10.3390/f6051721>) and segmentation; forest parameters estimation with the area-based approach: model calibration with ground reference, and maps export (Aussenac et al. (2023) <doi:10.12688/openreseurope.15373.2>); extraction of both physical (gaps, edges, trees) and statistical features useful for e.g. habitat suitability modeling (Glad et al. (2020) <doi:10.1002/rse2.117>) and forest maturity mapping (Fuhr et al. (2022) <doi:10.1002/rse2.274>).

  • Maintainer: Jean-Matthieu Monnet
  • License: GPL-3
  • Last published: 2025-01-23