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lidaRtRee
View on CRAN: Click
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Download and install lidaRtRee package within the R console
Install from CRAN:
install.packages("lidaRtRee")
Install from Github:
library("remotes")
install_github("cran/lidaRtRee")
Install by package version:
library("remotes")
install_version("lidaRtRee", "4.0.8")
Attach the package and use:
library("lidaRtRee")
Maintained by
Jean-Matthieu Monnet
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.lidaRtRee . https://forgemia.inra.fr/lidar/lidaRtRee/-/issues . https://lidar.pages.mia.inra.fr/lidaRtRee/ . https://forgemia.inra.fr/lidar/lidaRtRee . lidaRtRee citation info . lidaRtRee results . lidaRtRee.pdf . lidaRtRee_4.0.8.tar.gz . lidaRtRee_4.0.8.zip . lidaRtRee_4.0.8.zip . lidaRtRee_4.0.8.zip . lidaRtRee_4.0.8.tgz . lidaRtRee_4.0.8.tgz . lidaRtRee_4.0.8.tgz . lidaRtRee_4.0.8.tgz . lidaRtRee_4.0.8.tgz . lidaRtRee_4.0.8.tgz . lidaRtRee archive . https://CRAN.R-project.org/package=lidaRtRee .
First Published: 2021-04-10
Latest Update: 2023-04-07
Description:
Provides functions for forest analysis using airborne laser scanning (LiDAR remote sensing) data:
tree detection (method 1 in Eysn et al. (2015) ) and segmentation;
forest parameters estimation and mapping with the area-based approach. It includes complementary steps for forest mapping:
co-registration of field plots with LiDAR data (Monnet and Mermin (2014) );
extraction of both physical (gaps, edges, trees) and statistical features from LiDAR data useful
for e.g. habitat suitability modeling (Glad et al. (2020) ) and forest maturity mapping (Fuhr et al. (2022) );
model calibration with ground reference, and maps export.
How to cite:
Jean-Matthieu Monnet (2021). lidaRtRee: Forest Analysis with Airborne Laser Scanning (LiDAR) Data. R package version 4.0.8, https://cran.r-project.org/web/packages/lidaRtRee. Accessed 11 Apr. 2025.
Previous versions and publish date:
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Other R packages that lidaRtRee depends,
imports, suggests or enhances
Complete documentation for lidaRtRee
Functions, R codes and Examples using
the lidaRtRee R package
Some associated functions: aa_las_chablais3 . aba_build_model . aba_combine_strata . aba_inference . aba_metrics . aba_plot . aba_predict . add_vegetation_indices . boxcox_itr . boxcox_itr_bias_cor . boxcox_tr . chm_chablais3 . cimg2Raster . circle2Raster . clean_raster . clouds_metrics . clouds_tree_metrics . convert_raster . coregistration . create_disk . dem_filtering . edge_detection . ellipses4Crown . gap_detection . height_regression . hist_detection . hist_stack . las_chablais3 . lma_check . maxima_detection . maxima_selection . plot_matched . plot_tree_inventory . pointList2poly . points2DSM . points2DTM . polar2Projected . quatre_montagnes . raster2Cimg . raster_chull_mask . raster_local_max . raster_metrics . raster_xy_mask . raster_zonal_stats . rasters2Cor . rasters_moving_cor . seg_adjust . segmentation . species_color . std_tree_metrics . terrain_points_metrics . tree_detection . tree_extraction . tree_inventory_chablais3 . tree_matching . tree_segmentation .
Some associated R codes: aba.R . chm_chablais3-data.R . common.R . coregistration.R . extdata.R . gap_detection.R . metrics.R . optical_metrics.R . quatre_montagnes-data.R . raster_metrics.R . tree_detection.R . tree_inventory_chablais3-data.R . tree_match.R . tree_metrics.R . Full lidaRtRee package functions and examples
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