The lidR package, developed by Jean-Romain Roussel under the supervision of Alexis Achim, has reached a historic milestone!
We are pleased to announce that the article describing the lidR package for airborne LiDAR data analysis in R has reached a remarkable milestone: 1,000 citations in just five years!
Originally developed by Jean-Romain Roussel as part of his PhD project under the supervision of Alexis Achim, lidR has become an essential, free, and open-access tool widely used by the forest science community for LiDAR analyses. Jean-Romain continues to use the package in his own research, contributing to its ongoing development.
The article is available here: https://lnkd.in/ezS-vik3
More information about the package: https://www.r-lidar.com/lidr
To learn more about Jean-Romain Roussel’s PhD work, you can consult it here: Theoretical quantification of the effects of acquisition system settings on descriptive variables of LiDAR point clouds.
This thesis focuses on large-scale forest resource mapping using airborne LiDAR. While this technology enables efficient semi-automatic inventories, current methods are often limited to a specific region and acquisition setup, as variations in configuration affect the structure of the point clouds. The aim of this work is to understand the sources of these variations and develop models capable of correcting and normalizing LiDAR data, thereby simulating a standardized, homogeneous acquisition. This approach seeks to make forest mapping methods more generalizable, versatile, and reliable at large scales.