This tutorial presents R code for the preparation of field inventory and ALS data to be used in the calibration of prediction models with the so-called area-based method. The following steps are considered :

• import of field inventory data (tree measurements and plot information),
• check of field measurements,
• extraction of ALS data for each inventory plot,
• computation of stand-level forest parameters for each inventory plot.

The following files are provided:

• Rmarkdown source,
• ABA data preparation tutorial in html,
• datasets required to run the source code are also available on the repository.

Change log

• April 6, 2023: checked with new version of lidaRtRee

• 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: checked field data
• 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, added figures and check step of field data
• Oct, 2020: checked compatibility with lidR 3.0.3
• Jan, 2020: field names changed to English
• Oct, 2019: added projection info / updated points clouds in rda archive
• Aug, 2018: first version