Commit 0a6c6083 authored by Monnet Jean-Matthieu's avatar Monnet Jean-Matthieu
Browse files

updated description

parent 2896e232
Package: lidaRtRee
Type: Package
Version: 3.0.2
Title: Forest Analysis with Airborne Laser Scanning (Lidar) Data
Date: 2021-03-31
Title: Forest Analysis with Airborne Laser Scanning (LiDAR) Data
Date: 2021-04-01
Author: Jean-Matthieu Monnet [aut, cre]
Maintainer: Jean-Matthieu Monnet <jean-matthieu.monnet@inrae.fr>
Description: Provides functions for forest analysis using airborne laser scanning (lidar remote sensing) data: tree detection / segmentation and area-based approach. It includes complementary steps for forest mapping: extraction of both physical (gaps, edges, trees) and statistical features from lidar data, model calibration with ground reference, and maps export.
Description: Provides functions for forest analysis using airborne laser scanning (LiDAR remote sensing) data: tree detection / segmentation and area-based approach. It includes complementary steps for forest mapping: extraction of both physical (gaps, edges, trees) and statistical features from LiDAR data, model calibration with ground reference, and maps export.
URL: https://gitlab.irstea.fr/jean-matthieu.monnet/lidaRtRee
BugReports: https://gitlab.irstea.fr/jean-matthieu.monnet/lidaRtRee/issues
Depends: R (>= 3.5.0)
......
# Overview
`lidaRtRee` is an `R` package that provides functions for **forest analysis using airborne laser scanning** (lidar remote sensing) data: tree detection / segmentation and area-based approach. It includes complementary steps for forest mapping: extraction of both physical (gaps, edges, trees) and statistical features from lidar data, model calibration with ground reference, and maps export.
`lidaRtRee` is an `R` package that provides functions for **forest analysis using airborne laser scanning** (LiDAR remote sensing) data: tree detection / segmentation and area-based approach. It includes complementary steps for forest mapping: extraction of both physical (gaps, edges, trees) and statistical features from LiDAR data, model calibration with ground reference, and maps export.
# Installation
* `R` >= 4.0.3 recommended, package `lidR` >= 3.1.0 required
* **build latest version from source** with the `devtools` package by running in an `R` console: `devtools::install_git("https://gitlab.irstea.fr/jean-matthieu.monnet/lidaRtRee/")`
* **windows installation with binary zip file of version 3.0.1**: run in an `R` console: `install.packages("https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/raw/master/win-binary/lidaRtRee_3.0.1.zip")`
* **windows installation with binary zip file of version 3.0.2**: run in an `R` console: `install.packages("https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/raw/master/win-binary/lidaRtRee_3.0.2.zip")`
# Tutorials
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment