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FORTLS

Detect and segment individual tree from remotely sensed data.
https://github.com/molina-valero/fortls

forest-inventory forest-monitoring lidar-point-cloud

Last synced: about 20 hours ago
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Repository metadata

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

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.


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Committers metadata

Last synced: 3 days ago

Total Commits: 537
Total Committers: 7
Avg Commits per committer: 76.714
Development Distribution Score (DDS): 0.337

Commits in past year: 178
Committers in past year: 2
Avg Commits per committer in past year: 89.0
Development Distribution Score (DDS) in past year: 0.006

Name Email Commits
Juan Alberto Molina-Valero 5****o 356
Molina-Valero j****o@u****s 141
Adela Martínez-Calvo 7****o 21
anikaseppelt a****t@i****m 16
Dirk Eddelbuettel e****d@d****g 1
anikaseppelt 1****t 1
olivroy 5****y 1

Committer domains:


Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 10
Total pull requests: 8
Average time to close issues: 2 months
Average time to close pull requests: 3 days
Total issue authors: 10
Total pull request authors: 3
Average comments per issue: 4.5
Average comments per pull request: 0.38
Merged pull request: 6
Bot issues: 0
Bot pull requests: 0

Past year issues: 3
Past year pull requests: 3
Past year average time to close issues: about 1 month
Past year average time to close pull requests: about 3 hours
Past year issue authors: 3
Past year pull request authors: 2
Past year average comments per issue: 2.67
Past year average comments per pull request: 0.67
Past year merged pull request: 3
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/molina-valero/fortls

Top Issue Authors

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  • bi0m3trics (1)
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  • jazstoddart (1)
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  • eddelbuettel (1)
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Package metadata

cran.r-project.org: FORTLS

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

  • Homepage: https://github.com/Molina-Valero/FORTLS
  • Documentation: http://cran.r-project.org/web/packages/FORTLS/FORTLS.pdf
  • Licenses: GPL-3
  • Latest release: 1.4.0 (published 5 months ago)
  • Last Synced: 2024-06-02T20:35:31.842Z (2 days ago)
  • Versions: 11
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 282 Last month
  • Rankings:
    • Forks count: 11.273%
    • Stargazers count: 15.6%
    • Average: 24.119%
    • Downloads: 28.47%
    • Dependent packages count: 29.797%
    • Dependent repos count: 35.455%
  • Maintainers (1)

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

Score: 10.481728804594715