forestlas
Code for generating metrics of forest vertical structure from airborne LiDAR data.
https://github.com/philwilkes/forestlas
Category: Biosphere
Sub Category: Forest Remote Sensing
Last synced: about 21 hours ago
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Repository metadata
code for generating metrics of forest vertical structure from airborne LiDAR data
- Host: GitHub
- URL: https://github.com/philwilkes/forestlas
- Owner: philwilkes
- License: gpl-3.0
- Created: 2019-08-12T21:48:36.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-12-16T10:38:43.000Z (over 5 years ago)
- Last Synced: 2025-04-17T20:37:24.622Z (11 days ago)
- Language: Jupyter Notebook
- Size: 390 KB
- Stars: 20
- Watchers: 4
- Forks: 14
- Open Issues: 0
- Releases: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGES.txt
- License: LICENSE
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 metadata
- Name:
- Login: philwilkes
- Email:
- Kind: user
- Description:
- Website:
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- Twitter: kungphil
- Company:
- Icon url: https://avatars.githubusercontent.com/u/16801450?u=53742f93584365b9ab99d582ad84339dcf7db44d&v=4
- Repositories: 20
- Last ynced at: 2024-06-11T16:19:34.408Z
- Profile URL: https://github.com/philwilkes
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| Name | Commits | |
|---|---|---|
| Phil Wilkes | p****l@P****l | 6 |
| philwilkes | p****s@u****k | 6 |
| philwilkes | p****s@h****m | 5 |
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