An R package to replicate the submitted work using tree segmentation methods in R. This is a companion R package to the python-based https://github.com/weecology/DeepLidar.
https://www.biorxiv.org/content/10.1101/532952v1
This package follows the "Research Compendium" philosophy advocated by ROpenSci. It is not meant as a stand alone package, but rather a clear way to document our work.
Source can be cloned directly
git clone https://github.com/weecology/TreeSegmentation.git
Or installed directly into R.
library(devtools)
install_github("Weecology/TreeSegmentation")
- \analysis - The main analysis scripts to generate trees from lidR clouds. These have relative paths which need to be amended by future users.
- \data - The publically available data. This is maintained for legacy purposed. We continue to update NEON evaluated trees https://github.com/weecology/NeonTreeEvaluation
The main role of the package is to generate training bounding boxes for the deep learning analysis performed in the python.
See /analysis/detection_training