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`lidaRtRee` is a R package that provides functions for forest analysis using airborne laser scanning data. It includes complementary steps for foret mapping: extraction of both physical and statistical features from lidar data, model calibration with ground reference, and maps export.
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`lidaRtRee` is an `R` package that provides functions for forest analysis using airborne laser scanning (lidar remote sensing) data: tree detection / segmentation and area-based approach. It includes complementary steps for forest mapping: extraction of both physical (gaps, edges, trees) and statistical features from lidar data, model calibration with ground reference, and maps export.
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Installation:
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`devtools::install_git("https://gitlab.irstea.fr/jean-matthieu.monnet/lidaRtRee/")`
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Tutorials using `lidaRtRee` functions are available on the [lidaRtRee_tutorials](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/) repository, as Rmarkdown files, html and pdf files, and including test datasets to run the code:
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* build from source with the `devtools` package by running in an `R` console: `devtools::install_git("https://gitlab.irstea.fr/jean-matthieu.monnet/lidaRtRee/")`
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Tutorials using `lidaRtRee` functions are available on the [lidaRtRee_tutorials](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/) repository, as `Rmarkdown` files, `html` and `pdf` files, and including datasets to run the code. The [wiki](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/wikis/home) presents the different tutorials:
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* [Tree detection](tree detection workflow)
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* [Forest plot coregistration](forest plot coregistration workflow)
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