https://github.com/Molina-Valero/FORTLS

Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes
https://github.com/Molina-Valero/FORTLS

forest-inventory forest-monitoring lidar-point-cloud

Last synced: about 2 months ago
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Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes

• Host: GitHub
• URL: https://github.com/Molina-Valero/FORTLS
• Owner: Molina-Valero
• Created: 2021-03-12T08:01:51.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2024-09-26T15:03:29.000Z (3 months ago)
• Last Synced: 2024-10-29T19:43:36.180Z (2 months ago)
• Topics: forest-inventory, forest-monitoring, lidar-point-cloud
• Language: R
• Homepage: https://CRAN.R-project.org/package=FORTLS
• Size: 93.9 MB
• Stars: 21
• Watchers: 3
• Forks: 7
• Open Issues: 1
• Metadata Files:
  • Readme: README.Rmd

Awesome Lists containing this project

• open-sustainable-technology - FORTLS - Detect and segment individual tree from remotely sensed data. (Biosphere / Forest Remote Sensing)

README

        

---

output: github_document

---

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/"

)

```

# FORTLS 

![license](https://img.shields.io/badge/Licence-GPL--3-blue.svg)

[![CRAN Status](https://www.r-pkg.org/badges/version/FORTLS)](https://cran.r-project.org/package=FORTLS){.FORTLS-release}

[![DOI](https://zenodo.org/badge/DOI/10.3390/IECF2020-08066.svg)](https://doi.org/10.1016/j.envsoft.2022.105337)

## Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes

Process automation of point cloud data derived from terrestrial-based technologies such as Terrestrial Laser Scanner (TLS) or Simultaneous Localization and Mapping (SLAM). 'FORTLS' enables (i) detection of trees and estimation of tree-level attributes (e.g. diameters and heights), (ii) estimation of stand-level variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories (FIs) at stand-level, and (iv) optimization of plot design for combining TLS data and field measured data. Documentation about 'FORTLS' is described in Molina-Valero et al. (2022, ).

# Install `FORTLS 1.2.0` (Beta version)

Get the latest released version of FORTLS from GitHub (included in the devel branch)

```r

remotes::install_github("Molina-Valero/FORTLS", ref = "devel", dependencies = TRUE)

```

# Acknowledgements 

**FORTLS** it is being developed at [University of Santiago de Compostela](https://www.usc.gal/en).

Development of the `FORTLS` package is being possible thanks to the following projects:

* Modelling the effects of intensity of perturbation on the structure of natural forests and their carbon stocks by using data from the National Forestry Inventory (AL2016-76769-C2-2-R) supported by the Spanish Ministry of Science and Innovation.

* Development of the Galician continuous forest inventory (2020-CP031) supported by the Regional Government of Galicia.

* Design of forest monitoring systems on a regional scale (ED431F 2020/02) supported by the Regional Government of Galicia.