This workflow implements in R a tree segmentation on Airborne Laser Scanning (lidar remote sensing) data. It is based on functions from R packages lidaRtRee and lidR, and it includes the following steps:

• treetop detection,
• crown segmentation,
• accuracy assessment with field inventory,
• species classification

The following files are provided:

• Rmarkdown source,
• Tree segmentation tutorial in html,
• Tree segmentation tutorial in pdf,
• a bibliography file
• datasets required to run the source code are also available on the repository.

Changelog

• Jan 26, 2021: updated to comply with package lidR 3.1.0 and lidaRtRee 3.0.0
• Oct 12, 2020: checked compatibility with package lidR 3.0.3
• Jan 17, 2020: checked compatibility with package lidR 2.2
• Dec 6, 2019: cloudMetrics function used for point cloud stats in segments
• Feb 4, 2019: updated for compatibilty with packages lidR 2.0.0 and lidaRtRee 2.0.0
• May 18, 2018: first release