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  • Monnet Jean-Matthieu
  • lidaRtRee_tutorials
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Last edited by Monnet Jean-Matthieu Dec 27, 2021
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lidaRtRee_tutorials is a repository that provides tutorials for forest analysis with airborne laser scanning (ALS or lidar remote sensing) data, using functions from R packages lidR (also available on CRAN) and lidaRtRee (also available on CRAN). Tutorials are available as Rmarkdown and html files. Datasets useful for code running are also provided. The following tutorials are available :

  • ALS data checking and preprocessing,
  • tree detection and segmentation,
  • field plot co-registration with ALS data,
  • forest structure metrics mapping,
  • forest gaps and edges detection,
  • area-based approach for forest parameters estimation and mapping.

lidaRtRee_tutorials development (2018-2021) was funded by the ADEME (french Agency for Ecological Transition) through the PROTEST project (grant 1703C0069 of the GRAINE program).

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  • ABA data preparation
  • ABA mapping and inference
  • ABA model calibration
  • ALS data preprocessing
  • Area based approach
  • Field plot coregistration with ALS data
  • Forest gaps and edges detection
  • Forest structure metrics mapping
  • Tree segmentation
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