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drone_lidar

Current version of lidR based workflow used with lidar data from DJI Zenmuse L1 sensor. For information on data collection settings and processing please refer to the Drone Data Collection and Lidar Processing Protocols.

  • Ground classification using Cloth Simualtion Filter (CSF)
  • Generate Digital Terrain Model
  • Normalise heights using ground points
  • Generate Canopy Height Model
  • Canopy Cover, Canopy Density
  • Exploratory plots
  • Standard metrics

Please note that some of the parameters (search for 'HARDCODED'. e.g., catalog chunk size, raster resolution, algorithm settings) must be updated depending on study site.

Examples from the workflow: LAS catalog chunks

chunks

Digital Terrain Model

dtm

Canopy Height Model

chm

Vertical Profile

Vertical Profile

LidR Standard Metrics

metrics

Funding: This project was funded by TERN Landscapes
Authors: Poornima Sivanandam, Darren Turner, Arko Lucieer, School of Geography, Planning and Spatial Sciences, University of Tasmania
Acknowledgements: TERN Landscapes, TERN Surveillance, TERN Data Services

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