This repository is dedicated to the processing and analysis of Unmanned Aerial Vehicle (UAV) and Light Detection and Ranging (LiDAR) data. The primary focus is on extracting high-precision forest metrics from point clouds, specifically for Eucalyptus forest management and research.
- UAV-LiDAR Integration: Handling high-density point clouds captured from UAV platforms.
- Forest Inventory: Automated extraction of individual tree parameters and stand-level metrics.
- Spatial Modeling: Generation of high-resolution Digital Terrain Models (DTM), Canopy Height Models (CHM), and Above-Ground Biomass (AGB) maps.
A complete workflow for processing ULS LiDAR data in Eucalyptus stands, including:
- Point cloud cleaning and noise removal.
- Ground classification and normalization.
- Area-Based Approach (ABA) metrics extraction.
- Spatial mapping of forest attributes (p95, VCC, AGB).
- Language: R
- Key Libraries:
lidR,raster,sf,ggplot2 - Data Formats: LAS/LAZ (Point Clouds), GeoTIFF (Rasters), SHP (Vector Data)
Maintained by Hannah Nathanson