Code and deidentified data from Ondei et al., 2026. WF25218
http://rdp.utas.edu.au/metadata/5cc385cf-2953-4fd6-8ae6-45b04c0f0a70
- Creators:
- Stefania Ondei (0000-0002-2515-3316)
- Co-Creators:
- Grant Williamson (0000-0002-3469-7550) , David Bowman (0000-0001-8075-124X)
Biological Sciences
This work is licensed under a Creative Commons Attribution - NonCommercial (BY - NC) 4.0 International License.
Code and deidentified data used in: Ondei, S., Williamson, G. J., Foyster, S., & Bowman, D. M. (2026). Incorporating airborne LiDAR into reliable and scalable garden wildfire hazard assessments at the wildland–urban interface. International Journal of Wildland Fire, WF25218. The publication is available open access at https://doi.org/10.1071/WF25218. Please cite this publication when using scripts or data for your research. The code is also available on GitHub at https://github.com/StefOnd/LiDAR_garden_defensibleSpace.git. As research progresses, updated versions will be added to that GitHub repository.
Data Access
- 1. LiDAR and parcel info.R ({{2017 | bytes}})
- 2.1 LAS preparation - Pre Classification 1.0.R ({{4413 | bytes}})
- 2.2 LAS preparation - Post Classification 1.0.R ({{3797 | bytes}})
- LiDAR functions 2.3.R ({{29696 | bytes}})
- 3. LAS processing 1.5.R ({{34283 | bytes}})
- Ondei et al., 2026. IJWF. Field and LiDAR deidentified data.xlsx ({{21714 | bytes}})