Open Sustainable Technology
A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.
Browse accepted projects | Review proposed projects | Propose new project | Open Issues
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
JSON representation
Repository metadata
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 (about 3 years ago)
- Default Branch: master
- Last Pushed: 2024-04-12T10:33:37.000Z (about 2 months ago)
- Last Synced: 2024-04-14T16:20:01.905Z (about 2 months ago)
- Topics: forest-inventory, forest-monitoring, lidar-point-cloud
- Language: R
- Homepage: https://CRAN.R-project.org/package=FORTLS
- Size: 94.1 MB
- Stars: 18
- Watchers: 3
- Forks: 7
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
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.
Owner metadata
- Name: Juan Alberto Molina-Valero
- Login: Molina-Valero
- Email:
- Kind: user
- Description: Modelling forest stand maturity from National Forest Inventory and proximal remote sensing data
- Website: https://www.researchgate.net/profile/Juan_Molina-Valero
- Location: Lugo (Spain)
- Twitter: MolinaValeroJA
- Company: Universidade de Santiago de Compostela
- Icon url: https://avatars.githubusercontent.com/u/52129566?u=224ef0648262cdcb135485436dd0ff889f293b12&v=4
- Repositories: 1
- Last ynced at: 2023-03-05T18:57:15.907Z
- Profile URL: https://github.com/Molina-Valero
GitHub Events
Total
- Issues event: 16
- Watch event: 23
- Delete event: 1
- Issue comment event: 43
- Member event: 9
- Push event: 487
- Pull request review event: 1
- Pull request event: 16
- Fork event: 8
- Create event: 13
Last Year
- Issues event: 6
- Watch event: 7
- Member event: 2
- Issue comment event: 12
- Push event: 159
- Pull request event: 6
- Fork event: 2
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 | 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:
- debian.org: 1
- usc.es: 1
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
Top Issue Authors
- ashlynolah (1)
- bi0m3trics (1)
- ekholoud (1)
- Estrada-Gene (1)
- flottsam (1)
- hjwood (1)
- jazstoddart (1)
- rsbivand (1)
- ShingObt (1)
- zzk112233 (1)
Top Pull Request Authors
- Molina-Valero (6)
- eddelbuettel (1)
- olivroy (1)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- cran: 282 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 11
- Total maintainers: 1
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
- 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