Skip to content
/ ALS_Notebooks Public

R scripts and Jupyter notebook implementing a complete workflow to generate Digital Elevation Models including CHM and canopy metrics from airborne lidar point cloud data using the lidR package. This repository includes point cloud filtering, ground normalization, rasterization, and visualization of CHM with reproducible examples

www.openforest4d.org

License

BSD-3-Clause license
0 stars 0 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

OpenForest4D/ALS_Notebooks

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
CHM_lidar_pc_lidR_v1.ipynb
CHM_lidar_pc_lidR_v1.ipynb
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 

Repository files navigation

NSF-1948997 NSF-2409886 NSF-2409887

OpenForest4D Computational Notebooks

  1. CHM_lidar_pc_lidR_v1.ipynb - This R notebook processes airborne using the lidR package to generate essential forestry and ecology products. The workflow produces Canopy Height Models (CHM), smoothed CHMs, gridded canopy metrics, individual tree detections with convex hulls, and crown-level measurements.

OpenForest4D is funded by NSF awards 2409885, 2409886 & 2409887.

About

R scripts and Jupyter notebook implementing a complete workflow to generate Digital Elevation Models including CHM and canopy metrics from airborne lidar point cloud data using the lidR package. This repository includes point cloud filtering, ground normalization, rasterization, and visualization of CHM with reproducible examples

www.openforest4d.org

Topics

forestry lidar-point-cloud canopy-height-models

Resources

Readme

License

BSD-3-Clause license
Activity
Custom properties

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Languages