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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 :
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* import of field inventory data (tree measurements and plot information),
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* check of field measurements,
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* extraction of ALS data for each inventory plot,
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* computation of stand-level forest parameters for each inventory plot.
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The following files are provided:
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* [Rmarkdown source](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/area-based.1.data.preparation.Rmd),
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* **[ABA data preparation tutorial in html](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/raw/master/export/area-based.1.data.preparation.html?inline=false)**,
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* [ABA data preparation tutorial in pdf](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/export/area-based.1.data.preparation.pdf),
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* datasets required to run the source code are also available on the repository.
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Change log
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+ Jan 2021: updated to comply with lidR 3.1.0 and lidaRtRee 3.0.0, added figures and check step of field data
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+ Oct, 2020: checked compatibility with lidR 3.0.3
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+ Jan, 2020: field names changed to English
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+ Oct, 2019: added projection info / updated points clouds in rda archive
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+ Aug, 2018: first version |
