home.md

-`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. 
+`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. 
 
-Installation:
+**Installation**:
 
 * build from source with the `devtools` package by running in an `R` console: `devtools::install_git("https://gitlab.irstea.fr/jean-matthieu.monnet/lidaRtRee/")`
 
-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:
+**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:
 
 * [Tree detection](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/wikis/Tree-segmentation)
 * [Forest plot coregistration](forest plot coregistration workflow)