Point Cloud Tree Detection Example

This code was adapted from work by Neal Swayze and Wade Tinkham (2022) to ingest raw point cloud data for processing and analysis of forest structure metrics.

Project site

Point Cloud Tree Detection Python Interface

This R-Python interface allows program to run under CLI, and convert R code to Python environment for further ML development. The environment was packed into a container by apptainer The container used for this program can be found HERE

usage

#install Apptainer (for ubuntu)
sudo add-apt-repository -y ppa:apptainer/ppa
sudo apt update
sudo apt install -y apptainer

#Download container image (use gdown)
gdown https://drive.google.com/uc?id=1WWhHFDZQIiv2lr2rtfAXd-BCcJlUhrCc

#clone this repository 
git clone https://github.com/jldz9/point_cloud_tree_detection_ex.git
cd point_cloud_tree_detection_ex
#Put the container image you downloaded from google drive "las_tree_container.sif" in current folder

#Get example data
apptainer exec ./las_tree_container.sif ./las_tree.py --example_data

#Init CONFIG file
apptainer exec ./las_tree_container.sif ./las_tree.py --generate_config

#Run the point cloud tree detection
apptainer exec ./las_tree_container.sif ./las_tree.py -p ./CONFIG