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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", "4.0.5")



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: 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 4.0.5, https://cran.r-project.org/web/packages/lidaRtRee
Previous versions and publish date:
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)
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