Airborne LiDAR data manipulation and visualisation for forestry application
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Updated
Sep 21, 2026 - R
Airborne LiDAR data manipulation and visualisation for forestry application
UAV related Remote Sensing Toolbox
rTLS: Tools to Process Point Clouds Derived from Terrestrial Laser Scanning
Create high resolution shade maps in cities
3D modeling of urban forests based on LiDAR point clouds
R package for LiDAR point-cloud processing and deep-learning inference for 3D fuel mapping.
Here we produced an individual tree dataset including tree locations, height, crown area, crown volume, and biomass over the entire New York City, USA for 6,005,690 trees. Individual trees were detected and mapped from remotely sensed datasets along with their height and crown size information.
Package for individual tree detection and tree segmentation from ground-based LiDAR data
An R Package for Performing Fluvial Geomrphology Analysis.
Code and figures for Heisig, J.; Olson, E.; Pebesma, E. Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing. Fire 2022, 5, 29. https://doi.org/10.3390/fire5010029
Making use of the iPhones LiDAR sensor. For an example have a look at https://haukegron.github.io/iLiDAR/.
Evaluating Tree Species Diversity in Forest Ecosystems Using LiDAR Data: A Exploration in NRW
Potential Flat Rooftop Detection using LiDAR and GIS for Rooftop Farming
Herramienta de análisis de relevamientos aérofotogramétricos y LiDAR basada en lidR
Tools for procedurally simulating forest landscapes
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