Looking for alternatives to the lidR R
package, for research purposes, plus some resources to start working on it.
-
New collection of Jupyter Notebooks enables programmatic access to cloud-hosted USGS 3D Elevation Program (3DEP)
LiDAR
data: https://opentopography.org/blog/new-collection-jupyter-notebooks-enables-programmatic-access-cloud-hosted-usgs-3d-elevation -
Big Data Geospatial Processing for Massive Aerial
LiDAR
Datasets https://www.mdpi.com/2072-4292/12/4/719 uses Spark -
A guide covering
LiDAR
including the applications, libraries and tools that will make you better and more efficient withLiDAR
development: https://github.com/mikeroyal/LiDAR-Guide -
Learning from
LiDAR
Data with Deep Learning https://www.strong.io/blog/deep-learning-for-lidar-data -
Forest inventory with high-density
UAV-LiDAR
: Machine learning approaches for predicting individual tree attributes https://doi.org/10.1016/j.compag.2020.105815