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`lidaRtRee_tutorials` is a repository that provides tutorials for forest analysis with airborne laser scanning (ALS or lidar remote sensing) data, using functions from `R` packages [lidR](https://github.com/Jean-Romain/lidR/)(also available on [CRAN](https://cran.r-project.org/package=lidR)) and [lidaRtRee](https://gitlab.irstea.fr/jean-matthieu.monnet/lidaRtRee)(also available on [CRAN](https://cran.r-project.org/package=lidaRtRee)). Tutorials are available as `Rmarkdown` and `html` files. Datasets useful for code running are also provided. The following tutorials are available :
# IMPORTANT NOTICE
-[ALS data checking and preprocessing](ALS-data-preprocessing),
*`lidaRtRee_tutorials` are now integrated as [vignettes](https://forgemia.inra.fr/lidar/lidaRtRee/-/tree/main/vignettes) of the R package [`lidaRtRee`](https://forgemia.inra.fr/lidar/lidaRtRee).
-[tree detection and segmentation](Tree-segmentation),
* Documentation and tutorials are on [https://lidar.pages.mia.inra.fr/lidaRtRee/](https://lidar.pages.mia.inra.fr/lidaRtRee/)
-[field plot co-registration with ALS data](Field-plot-coregistration-with-ALS-data),
-[forest gaps and edges detection](Forest-gaps-and-edges-detection),
-[area-based approach for forest parameters estimation and mapping](Area-based-approach).
`lidaRtRee_tutorials` development (2018-2021) was funded by the [ADEME](https://www.ademe.fr/en)(french Agency for Ecological Transition) through the [PROTEST](https://protest.inrae.fr/) project (grant 1703C0069 of the GRAINE program).
