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!
Initially developed by Jean-Romain Roussel as part of his doctoral 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.
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The article is available here: https://lnkd.in/ezS-vik3
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More information about the package: https://www.r-lidar.com/lidr
To learn more about Jean-Romain Roussel’s doctoral work, you can consult it here: Theoretical Quantification of the Effects of Acquisition System Settings on LiDAR Point Cloud Descriptive Variables.
This thesis focuses on large-scale forest resource mapping using airborne LiDAR. Although this technology enables efficient semi-automatic inventories, current methods are often limited to a specific region and acquisition setup, as variations in configuration lead to differences in point cloud structure. The goal of this work is to understand the origin of these variations and develop models capable of correcting and normalizing LiDAR data, thereby simulating standardized, homogeneous acquisitions. This approach aims to make mapping methods more generalizable, versatile, and reliable at large scales.