forestlas

code for generating metrics of forest vertical structure from airborne LiDAR data

https://github.com/philwilkes/forestlas

Science Score: 33.0%

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  • codemeta.json file
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    Found 2 DOI reference(s) in README
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    Links to: researchgate.net
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    1 of 3 committers (33.3%) from academic institutions
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    Low similarity (8.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

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
Created almost 7 years ago · Last pushed over 6 years ago
Metadata Files
Readme Changelog License

README.md

forestlas

License: GPL v3

LiDAR derived vertical profiles 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

GitHub Events

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Last Year
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Last synced: 11 months ago

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  • Total Commits: 17
  • Total Committers: 3
  • Avg Commits per committer: 5.667
  • Development Distribution Score (DDS): 0.647
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  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email 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)

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Last synced: 11 months ago

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  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: about 1 month
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  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 1.0
  • Average comments per pull request: 0
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Past Year
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  • Average time to close issues: N/A
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  • Average comments per issue: 0
  • Average comments per pull request: 0
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  • ShukhratSh (1)
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