This workflow is now on https://lidar.pages.mia.inra.fr/lidaRtRee/articles/tree.detection.html

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

Changelog

• Dec 21, 2023: moved to https://forgemia.inra.fr/lidar/lidaRtRee
• April 6, 2023: checked with new version of lidaRtRee
• July 19, 2022: batch processing relies on new function tree_detection
• May 24, 2022: switch to terra and sf to comply with new version of lidR and lidaRtRee
• Dec. 27, 2021: future.apply package used for parallelization
• Oct 4, 2021: added classification predictions, future used in batch processing
• Aug 3, 2021: updated to comply with lidaRtRee 3.1.0
• 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