Other packages > Find by keyword >

lidaRtRee  

Forest Analysis with Airborne Laser Scanning (LiDAR) Data
View on CRAN: Click here


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]
All associated links for this package
First Published: 2021-04-10
Latest Update: 2025-01-23
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 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:53), 3.0.2 (2021-04-10 10:10), 3.0.3 (2021-04-11 01:10), 3.1.0 (2021-07-30 14:50), 3.1.2 (2021-12-09 14:30), 4.0.1 (2022-05-23 20:20), 4.0.2 (2022-07-18 15:10), 4.0.3 (2022-07-19 15:00), 4.0.5 (2023-04-07 17:10), 4.0.8 (2025-01-23 10:40)
Other packages that cited lidaRtRee R package
View lidaRtRee citation profile
Other R packages that lidaRtRee depends, imports, suggests or enhances
Complete documentation for lidaRtRee
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA