https://github.com/philwilkes/forestlas

code for generating metrics of forest vertical structure from airborne LiDAR data
https://github.com/philwilkes/forestlas

Last synced: 3 months ago
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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 (about 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-16T10:38:43.000Z (almost 5 years ago)
• Last Synced: 2024-06-11T20:56:08.363Z (5 months ago)
• Language: Jupyter Notebook
• Size: 390 KB
• Stars: 19
• Watchers: 5
• Forks: 12
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.txt
  • License: LICENSE

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• open-sustainable-technology - forestlas - Code for generating metrics of forest vertical structure from airborne LiDAR data. (Biosphere / Forest Remote Sensing)

README

        
# forestlas

[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)

![LiDAR derived vertical profiles](http://www2.geog.ucl.ac.uk/~ucfaptv/3_PLOTS_geo_trees_bar_spectra_v5.png)

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.