scripts

Scripts

1. The numbered directories (e.g. 01_..., 02_...) follow the methodology outlined in the MS thesis/manuscript for this project. Each folder is a major step in the methodology.

2. Each numbered directory contains:

• README document with content title (top of document) set as the name of the step in the project methodology
• DATA sub-directory that contains the INPUTdata
• EXPORTS sub-directory that contains the OUTPUT data
• The remaining files in the sub-directories are scripts run for the methodology stage of the directory.

Project methodology workflow:

Workflow diagram outlining the methodology developed for this project. The major steps in the methodology for which the code is available are outlined in dashed lines and named "Folder [<folder number>]" referring to the respective numbered directories in this repository.

---

References

• Creating a CHM from point cloud (TUTORIAL): https://r-lidar.github.io/lidRbook/chm.html
• Publication on tutorial for individual tree detection using point cloud data:
  • Main paper: https://www.degruyter.com/document/doi/10.1515/geo-2020-0290/html?lang=en
  • Tutorial in supplementary material: https://www.degruyter.com/document/doi/10.1515/geo-2020-0290/downloadAsset/suppl/geo-2020-0290_sm.pdf

Roussel, J.R., Auty, D., Coops, N. C., Tompalski, P., Goodbody, T. R. H., Sánchez Meador, A., Bourdon, J.F., De Boissieu, F., Achim, A. (2021). lidR : An R package for analysis of Airborne Laser Scanning (ALS) data. Remote Sensing of Environment, 251 (August), 112061. doi:10.1016/j.rse.2020.112061.

Jean-Romain Roussel and David Auty (2023). Airborne LiDAR Data Manipulation and Visualization for Forestry Applications. R package version 3.1.0. https://cran.r-project.org/package=lidR