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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.
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This workflow is now on [https://lidar.pages.mia.inra.fr/lidaRtRee/articles/forest.structure.metrics.html](https://lidar.pages.mia.inra.fr/lidaRtRee/articles/forest.structure.metrics.html)
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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/R/forest.structure.metrics.Rmd),
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* [**Forest structure metrics mapping tutorial in html**](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/raw/master/export/forest.structure.metrics.html?inline=false),
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* a [bibliography file](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/bib/bibliography.bib)
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* datasets required to run the source code are also available on the repository.
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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.
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Change log
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* Dec 21, 2023: moved to [https://forgemia.inra.fr/lidar/lidaRtRee](https://forgemia.inra.fr/lidar/lidaRtRee)
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* April 6, 2023: checked with new version of `lidaRtRee`
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* July 19, 2022: checked with new version of `lidaRtRee`
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* May 24, 2022: switch to `terra` and `sf` to comply with new version of `lidR` and `lidaRtRee`
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