forestlas
code for generating metrics of forest vertical structure from airborne LiDAR data
Science Score: 33.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: researchgate.net -
✓Committers with academic emails
1 of 3 committers (33.3%) from academic institutions -
○Institutional organization owner
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○Scientific vocabulary similarity
Low similarity (8.9%) to scientific vocabulary
Repository
code for generating metrics of forest vertical structure from airborne LiDAR data
Basic Info
- Host: GitHub
- Owner: philwilkes
- License: gpl-3.0
- Language: Jupyter Notebook
- Default Branch: master
- Size: 390 KB
Statistics
- Stars: 21
- Watchers: 4
- Forks: 14
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
forestlas
Python code for generating metrics of forest vertical structure from airborne LiDAR data. This code was developed as
part of my PhD (completed in 2016, can be viewed
here)
and was developed over the forests of Victoria, Australia.
The aim was to develop a suite of metrics that are robust to forest type i.e. can be applied without prior information of
forest structure.
There are a number of methods available, check this
Jupyter notebook for an introduction.
Functions include reading .las files to numpy array, writing to .las as well as a number of methods to dice, slice and tile
LiDAR data.
The main set of functions found in forestlas.canopyComplexity.
These allow you to derive metrics of vertical canopy structure such as Pgap and also estimate number of canopy layers.
More information can be found in this paper Wilkes, P. et al. (2016). Using discrete-return airborne laser scanning to
quantify number of canopy strata across diverse forest types. Methods in Ecology and Evolution, 7(6), 700–712.
Funding
This research was funded by the Australian Postgraduate Award, Cooperative Research Centre for Spatial Information under Project 2.07, TERN/AusCover and Commonwealth Scientific and IndustrialResearch Organisation (CSIRO) Postgraduate Scholarship.
Owner
- Login: philwilkes
- Kind: user
- Twitter: kungphil
- Repositories: 20
- Profile: https://github.com/philwilkes
GitHub Events
Total
- Watch event: 3
- Fork event: 2
Last Year
- Watch event: 3
- Fork event: 2
Committers
Last synced: 11 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Phil Wilkes | p****l@P****l | 6 |
| philwilkes | p****s@u****k | 6 |
| philwilkes | p****s@h****m | 5 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 1
- Total pull requests: 0
- Average time to close issues: about 1 month
- Average time to close pull requests: N/A
- Total issue authors: 1
- Total pull request authors: 0
- Average comments per issue: 1.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ShukhratSh (1)