Wimmera CMA - LiDAR

dataset
Dataset: Wimmera CMA - LiDAR Assembly: Single
 
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Wimmera CMA - LiDAR

 

Description

Title
Wimmera CMA - LiDAR 
Resource Type
Dataset  
 
 

Temporal

 
 

Spatial

Spatial representation type
Point Cloud  
Horizontal Accuracy
0.3m  
Code
MGA Zone 54 GDA94 
 

 

Maintenance

 
 

Format

Title
LAS 1.2 - Class(Ground, Unclassified) 
 
 

Contacts

  Point of contact

 
 

Keywords

Topic category
  • Elevation
 
 

Resource Constraints

Use limitation
General 
Classification
Unclassified  
 
 

Lineage

Description
The LiDAR Point Cloud is classified into Ground and Non-Ground classes. Only points that are part of a clean ground surface, which might not be 100% of the ground hits are classed as Ground. Ground filtering algorithms, tailored for this project, data type and terrain type, were applied to the full dataset. The ground filtered dataset is then visually checked by an operator, and incorrectly classified data is corrected or the ground filtering algorithm is adjusted and then visually checked again. For the verification of the ground classification, intensity imagery is used as a backdrop image. Returns on water have been treated the same as returns on land, where the Ground filtering algorithms classify points as Ground or Non-Ground. Ground Class: This subset consists of every point that is part of the classified ground surface, intensity value info for every point is included. Non-Ground Class: Any LiDAR return, not classified as ground, but higher than ground (>30cm above ground), is classified as a Non-Ground return. These also have the intensity values included. Above ground datasets only start at 30cm above the classified ground surface, to avoid low grasses/system noise to become part of this above ground dataset. 
 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Positional Accuracy
Conceptual Consistency
Comments
Consistent with specification 
Missing Data
Comments
No omission 
Excess Data
 
 

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