Anglesea - LiDAR

dataset
Dataset: Anglesea - LiDAR Assembly: Single
 
Citation proposal Citation proposal

Anglesea - LiDAR

 

Description

Title
Anglesea - LiDAR 
Resource Type
Dataset  
 
 

Temporal

 
 

Spatial

Spatial representation type
Point Cloud  
Horizontal Accuracy
0.3m  
Code
MGA Zone 55 GDA94 
 

 

Maintenance

 
 

Format

Title
LAS 1.3 
 
 

Contacts

  Point of contact

 
 

Keywords

Topic category
  • Elevation
 
 

Resource Constraints

Use limitation
General 
Classification
Unclassified  
 
 

Lineage

Description
An instrument calibration issue was encountered with the LiDAR system during initial pre-processing. The issue was caused by an internal calibration error between channel 1 and channel 2. It manifests itself by producing a fluctuating, vertical, misalignment between both channels in the range of 0.05 - 0.20m (relative accuracy). It was resolved by an internal calibration correction (provided by sensor manufacturer - Riegl) being applied to all flights of LiDAR data in this project. This delayed production for approximately three weeks. Reduction of the LiDAR data proceeded without any significant problems, Laser strikes were classified into ground and non-ground points using a single algorithm across the project area. Manual checking and editing of the data classification further improved the quality of the terrain model. 
 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Positional Accuracy
Conceptual Consistency
Comments
Accuracy of the ground surface under dense canopy may be reduced due to diminished returns. Laser accuracy at swath edges may be reduced. Classification algorithms have been tailored for common terrain/vegetation combinations across the project area. Classification accuracy and ground definition may be less accurate in uncommon or mixed terrain/vegetation/land use combinations. This data has been classified to an ICSM level 2 standard where there is an emphasis on ground classification accuracy only. 
Missing Data
Comments
The point cloud data is complete for the defined project extent. Gaps may occur due to diminished returns over water, under canopy and on materials with low laser reflectivity, such as black roofing or swimming pools. 
Excess Data
 
 

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