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fortls

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

https://github.com/molina-valero/fortls

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 5 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (15.4%) to scientific vocabulary

Keywords

forest-inventory forest-monitoring lidar-point-cloud
Last synced: 7 months ago · JSON representation

Repository

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

Basic Info
Statistics
  • Stars: 25
  • Watchers: 3
  • Forks: 7
  • Open Issues: 0
  • Releases: 2
Topics
forest-inventory forest-monitoring lidar-point-cloud
Created about 5 years ago · Last pushed 8 months ago
Metadata Files
Readme

README.Rmd 

---
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.

Owner

  • Name: Juan Alberto Molina-Valero
  • Login: Molina-Valero
  • Kind: user
  • Location: Lugo (Spain)
  • Company: Universidade de Santiago de Compostela

Modelling forest stand maturity from National Forest Inventory and proximal remote sensing data

GitHub Events

Total
  • Create event: 1
  • Release event: 1
  • Issues event: 1
  • Watch event: 4
  • Issue comment event: 1
  • Push event: 101
  • Pull request event: 5
Last Year
  • Create event: 1
  • Release event: 1
  • Issues event: 1
  • Watch event: 4
  • Issue comment event: 1
  • Push event: 101
  • Pull request event: 5

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 710
  • Total Committers: 6
  • Avg Commits per committer: 118.333
  • Development Distribution Score (DDS): 0.255
Past Year
  • Commits: 123
  • Committers: 1
  • Avg Commits per committer: 123.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Juan Alberto Molina-Valero 5****o 529
Molina-Valero j****o@u****s 141
Adela Martínez-Calvo 7****o 21
anikaseppelt a****t@i****m 17
olivroy 5****y 1
Dirk Eddelbuettel e****d@d****g 1
Committer Domains (Top 20 + Academic)
debian.org: 1 usc.es: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 10
  • Total pull requests: 11
  • Average time to close issues: 3 months
  • Average time to close pull requests: 2 days
  • Total issue authors: 10
  • Total pull request authors: 3
  • Average comments per issue: 4.5
  • Average comments per pull request: 0.36
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: 5 minutes
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.33
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • Estrada-Gene (1)
  • rsbivand (1)
  • hjwood (1)
  • zzk112233 (1)
  • flottsam (1)
  • ekholoud (1)
  • jazstoddart (1)
  • bi0m3trics (1)
  • ashlynolah (1)
  • ShingObt (1)
Pull Request Authors
  • Molina-Valero (12)
  • eddelbuettel (1)
  • olivroy (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 3
  • Total downloads:
    • cran 311 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 20
  • Total maintainers: 1
proxy.golang.org: github.com/molina-valero/fortls
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 7 months ago
proxy.golang.org: github.com/Molina-Valero/FORTLS
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 7 months ago
cran.r-project.org: FORTLS

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

  • Versions: 16
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 311 Last month
Rankings
Forks count: 11.3%
Stargazers count: 15.6%
Average: 24.1%
Downloads: 28.5%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Maintainers (1)
jamolinavalero@gmail.com
Last synced: 7 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • Distance * imports
  • Rcpp >= 1.0.5 imports
  • dbscan * imports
  • ggvoronoi * imports
  • htmlwidgets * imports
  • lidR * imports
  • plotly * imports
  • progress * imports
  • raster * imports
  • scales * imports
  • sp * imports
  • tidyr * imports
  • vroom * imports
  • testthat * suggests