Protocol Available
PAD Calculation from Different LiDAR Sources
Method for deriving plant area density (PAD) or similar structural tree parameters from various LiDAR-based sources.
Input data
- Terrestrial or airborne LiDAR point clouds
- Tree location coordinates
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Output produced
Plant area density profiles, crown structure parameters
Key input factors
Scanner type
Metadata
LiDAR beauty scenarios
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Protocol Available
Turbulence Modelling Parameters Calibration
Procedure for calibrating turbulence-related modelling parameters for simulations involving trees and urban airflow.
Input data
- Field measurement data
- Wind profile observations
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Output produced
Calibrated turbulence parameters for CFD models
Key input factors
Microclimate models
CFD simulation
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Protocol Available
Tree Library for Generic Trees
Reusable library of generic tree representations for modelling and scenario demonstrations.
Input data
- Species characteristics
- Growth shape templates
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Output produced
Parameterized generic tree models
Key input factors
Urban greenery
Research validation
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Protocol Available
Tree Reconstruction Algorithm
Algorithmic method for reconstructing tree geometry and structure from available input data.
Input data
- LiDAR scans or imagery
- Tree basic geometry data
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Output produced
3D tree geometry, structural parameters
Key input factors
Scenarios
Digital-twin techniques
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Tree Representation from Different Sources
Guidance on converting different source data types into usable tree representations for modelling.
Input data
- Various inventory, imagery, LiDAR, proxy data
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Output produced
Standardized tree model inputs
Key input factors
Data sources
Models
Data categories
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Protocol Available
Input-Output Quality Correlation
Method for understanding how input data quality influences output reliability in tree-related simulations.
Input data
- Multiple data quality levels
- Model outputs
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Output produced
Plant area density profiles, crown structure parameters
Key input factors
Scenarios
Data relations
Quality ranges
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