Airborne LiDAR data manipulation and visualisation for forestry application
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Updated
Jul 30, 2024 - R
Airborne LiDAR data manipulation and visualisation for forestry application
UAV related Remote Sensing Toolbox
Create high resolution shade maps in cities
rTLS: Tools to Process Point Clouds Derived from Terrestrial Laser Scanning
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.
3D modeling of urban forests based on LiDAR point clouds
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/.
Materials for virtual forest twins based on marteloscope point cloud data in VirtualForest project
Tools for procedurally simulating forest landscapes
Evaluating Tree Species Diversity in Forest Ecosystems Using LiDAR Data: A Exploration in NRW
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