Science Score: 39.0%
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 2 DOI reference(s) in README -
○Academic publication links
-
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (15.1%) to scientific vocabulary
Repository
3D Forest INventory
Basic Info
Statistics
- Stars: 74
- Watchers: 3
- Forks: 9
- Open Issues: 17
- Releases: 27
Metadata Files
README.md
Welcome to 3DFin: 3D Forest inventory's official repository!
3DFin is a free software for automatic computation of tree parameters in terrestrial point clouds. It offers the users a quick, ease-of-use interface to load their forest plots and generate tree metrics with just a few clicks.
Getting Started
Be sure to check the Documentation, which features detailed explanations on how the program works and an User Manual.
Also, the Tutorial covers the basics of 3DFin and is a great tool to get started.
Download
3DFin is freely available in 4 ways: 1. As a CloudCompare plugin (Windows and Linux) 2. As a QGIS plugin 3. As a standalone program (Only in Windows) 4. As a Python package (In Windows, Linux and macOS)
1. CloudCompare plugin
3DFin is available in Windows as a plugin in CloudCompare (2.13) thanks to CloudCompare PythonRuntime (see References). You can download the latest version CloudCompare (Windows installer version) including the 3DFin plugin here:
Simply install the latest version of CloudCompare and tick Python and 3DFin's checkbox during the installation:
To install 3DFin plugin, tick the 'Python plugin support' checkbox during CloudCompare installation.
For Linux, the plugin is embedded into the CloudCompare flatpak.
3DFin plugin in CloudCompare.
Running the plugin will open 3DFin's graphical user interface (GUI).
3DFin GUI. It is common to any version of 3DFin.
2. QGIS plugin
3DFin is also available as a plugin in QGIS. Please follow the instructions available here in order to test it. Note that for now this does not provide much added value in comparison with CloudCompare and Standalone version of 3DFin.
3. Standalone program
3DFin is also available in Windows and macOS as a standalone program, which can be downloaded from here:
3DFin.exe file is the Windows version while 3DFin is the macOS version.
These binaries are built into Github servers and are thus unsigned and unverified. As consequences, while executing theses binaries your system may warn from security issues and should ask you to grant some permissions.
If you have a complete Python environment on your system, please consider installing 3DFin standalone via pip package manager.
Older versions of 3DFin standalone may also be downloaded from Releases. From there, simply navigate to the desired version and click on 3DFin[.exe].
4. Python package (3DFin)
3DFin and its dependencies may be installed and launched in any OS (Windows, Linux and macOS) as a Python package:
console
python -m pip install 3DFin
python -m three_d_fin
If you are a macOS or Linux user and you may want to try 3DFin, this is the way you should proceed.
pip will also install a script entry point in your Python installation's bin|script directory, so alternatively you can launch 3DFin from the command line with:
console
3DFin[.exe]
Usage
CloudCompare plugin is the reccomended way of using 3DFin, as it provides enhanced features for visualisation of the results and exporting of the outputs (it allows to export the results as a CloudCompare native BIN file).
By default, running 3DFin (either the CloudCompare plugin or any version of 3DFin) will open a GUI window.
For batch processing you can use the CLI capabilities of 3DFin and running the following command:
console
3DFin[.exe] cli --help
will give you an overview of the available parameters.
Citing 3DFin
If you use 3DFin in your research, please cite the following paper:
Laino, D., Cabo, C., Prendes, C., Janvier, R., Ordonez, C., Nikonovas, T., Doerr, S., & Santin, C. (2024). 3DFin: a software for automated 3D forest inventories from terrestrial point clouds. Forestry: An International Journal of Forest Research. https://doi.org/10.1093/forestry/cpae020
Thank you for citing 3DFin in your work! Your citations help to support the continued development and maintenance of this software.
References
CloudCompare-PythonRuntime, by Thomas Montaigu: CloudCompare-PythonRuntime
Acknowledgement
3DFin has been developed at the Centre of Wildfire Research of Swansea University (UK) in collaboration with the Research Institute of Biodiversity (CSIC, Spain) and the Department of Mining Exploitation of the University of Oviedo (Spain).
Funding provided by the UK NERC project (NE/T001194/1):
'Advancing 3D Fuel Mapping for Wildfire Behaviour and Risk Mitigation Modelling'
and by the Spanish Knowledge Generation project (PID2021-126790NB-I00):
‘Advancing carbon emission estimations from wildfires applying artificial intelligence to 3D terrestrial point clouds’.
Owner
- Name: 3DFin
- Login: 3DFin
- Kind: organization
- Repositories: 1
- Profile: https://github.com/3DFin
GitHub Events
Total
- Create event: 3
- Release event: 1
- Issues event: 6
- Watch event: 19
- Delete event: 1
- Issue comment event: 11
- Push event: 9
- Fork event: 3
Last Year
- Create event: 3
- Release event: 1
- Issues event: 6
- Watch event: 19
- Delete event: 1
- Issue comment event: 11
- Push event: 9
- Fork event: 3
Committers
Last synced: 11 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| romain janvier | r****r@h****r | 288 |
| 3DFIN | 3****e@g****m | 55 |
| Diego Laíño Rebollido | 6****r | 15 |
| 3DFIN | 1****N | 13 |
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 19
- Total pull requests: 65
- Average time to close issues: 14 days
- Average time to close pull requests: 1 day
- Total issue authors: 18
- Total pull request authors: 2
- Average comments per issue: 2.84
- Average comments per pull request: 0.11
- Merged pull requests: 62
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 7
- Pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: about 21 hours
- Issue authors: 7
- Pull request authors: 1
- Average comments per issue: 0.71
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- Camiladom1234 (2)
- srmazieg (1)
- HamsterW (1)
- AnttiCentria (1)
- AIMSURVEYS (1)
- yduguay-CGQ (1)
- ashlynolah (1)
- KrisFRS (1)
- ser1993 (1)
- MullKev (1)
- nadeemali476 (1)
- ander541 (1)
- fguerra06 (1)
- julesmorel (1)
- leestamm (1)
Pull Request Authors
- rjanvier (62)
- Diegolainor (15)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 3
-
Total downloads:
- pypi 603 last-month
-
Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 0
(may contain duplicates) - Total versions: 34
- Total maintainers: 1
proxy.golang.org: github.com/3dfin/3dfin
- Documentation: https://pkg.go.dev/github.com/3dfin/3dfin#section-documentation
- License: gpl-3.0
-
Latest release: v0.5.0
published about 1 year ago
Rankings
proxy.golang.org: github.com/3DFin/3DFin
- Documentation: https://pkg.go.dev/github.com/3DFin/3DFin#section-documentation
- License: gpl-3.0
-
Latest release: v0.5.0
published about 1 year ago
Rankings
pypi.org: 3dfin
Automatic dendrometry and forest inventory for terrestrial point clouds, application package
- Documentation: https://github.com/3DFin/3DFin#README.md
- License: gpl-3.0
-
Latest release: 0.5.0
published about 1 year ago