This R tutorial presents a workflow to compute both object-oriented and pixel-based metrics to describe the forest structure from Airborne Laser Scanning (lidar remote sensing) data. Extraction of different types of metrics is exemplified and code for parallelized processing of several ALS data files is provided.

The following files are provided:

• Rmarkdown source,
• Forest structure metrics mapping tutorial in html,
• a bibliography file
• datasets required to run the source code are also available on the repository.

Change log

• July 19, 2022: checked with new version of lidaRtRee
• May 24, 2022: switch to terra and sf to comply with new version of lidR and lidaRtRee
• Dec. 27, 2021: future.apply package used for parallelization
• Aug 3, 2021: updated to comply with lidaRtRee 3.1.0
• Jan 2021: updated to comply with lidR 3.1.0 and lidaRtRee 3.0.0
• Oct, 2020: checked compatibility with lidR 3.0.3
• May, 2020: added edge metrics, gaps computed using option gapReconstruct=TRUE, output resolution changed to 10 m for better consistency of tree metrics
• July, 2019: use of doFuture package instead of doParallel for parallelization; tested with lidR 2.1.0
• Feb, 2019: updated for compatibility with package lidR 2.0.0 and lidaRtRee 2.0.0
• July, 2018: initial version