Tree-segmentation.md

+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:
++ treetop detection, 
++ crown segmentation,
++ accuracy assessment with field inventory, 
++ species classification
+
+The following files are provided:
+* [Rmarkdown source](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/tree.detection.Rmd),
+* [html output](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/raw/master/export/tree.detection.html?inline=false),
+* [pdf output](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/export/tree.detection.pdf)
+* datasets and a [bibliography file](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/blob/master/bib/bibliography.bib) required to run the source code are also available on the repository.
+
+
+Changelog
+* Jan 26, 2021: updated to comply with package `lidR` 3.1.0 and `lidaRtRee` 3.0.0
+* Oct 12, 2020: checked compatibility with package `lidR` 3.0.3
+* Jan 17, 2020: checked compatibility with package `lidR` 2.2
+* Dec 6, 2019: `cloudMetrics` function used for point cloud stats in segments
+* Feb 4, 2019: updated for compatibilty with packages `lidR` 2.0.0 and `lidaRtRee` 2.0.0
+* May 18, 2018: first release</sup>
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