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This workflow is now on [https://lidar.pages.mia.inra.fr/lidaRtRee/articles/tree.detection.html](https://lidar.pages.mia.inra.fr/lidaRtRee/articles/tree.detection.html)
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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:
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+ treetop detection,
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+ crown segmentation,
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+ accuracy assessment with field inventory,
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+ species classification
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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/tree.detection.Rmd),
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* [**Tree segmentation tutorial in html**](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/raw/master/export/tree.detection.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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Changelog
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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: batch processing relies on new function `tree_detection`
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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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