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The code presents a tree detection workflow from Airborne Laser Scanning (ALS) data.
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* treetop detection and crown segmentation
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* accuracy assessment with field inventory
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* species discrimination
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The whole workflow is exemplified in the file [workflow.treedetection.pdf](uploads/caeaba01172fc7e2dff0869f0b641a52/workflow.treedetection.pdf).
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The original Rmarkdown file is available: [workflow.treedetection.Rmd](uploads/8424ae38a771fa8303b4327a1e4bb7ea/workflow.treedetection.Rmd).
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References are provided in a bibTeX file.
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[workflow.treedetection.bib](/uploads/8967a311f3dca179f0b64ab43bbf5605/workflow.treedetection.bib)
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Changelog
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* Jan 26, 2021: updated to comply with package `lidR` 3.1.0 and `lidaRtRee` 3.0.0
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+ Oct 12, 2020: checked compatibility with package `lidR` 2.2
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+ Jan 17, 2020: checked compatibility with package `lidR` 2.2
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+ Dec 6, 2019: `cloudMetrics` function used for point cloud stats in segments
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+ Feb 4, 2019: updated for compatibilty with packages `lidR` 2.0.0 and `lidaRtRee` 2.0.0
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+ May 18, 2018: first release
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This tutorial has moved to :
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[https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/wikis/Tree-segmentation](https://gitlab.irstea.fr/jean-matthieu.monnet/lidartree_tutorials/-/wikis/Tree-segmentation) |
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\ No newline at end of file |
