Greater Melbourne LiDAR - Point Cloud
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  Greater Melbourne LiDAR - Point Cloud

dataset
Dataset: Greater Melbourne LiDAR - Point Cloud Assembly: Mosaic
 
Citation proposal Citation proposal

Greater Melbourne LiDAR - Point Cloud

Department of Transport and Planning

https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/fdabc54e-e81e-5d99-a8dd-64c3067d116a
 
  • Description
  • Temporal
  • Spatial
  • Maintenance
  • Format
  • Contacts
  • Keywords
  • Resource Constraints
  • Lineage
  • Metadata Constraints
  • Quality
  • Acquisition Info
  • Raster Data Details
  • Raster Type Details
  • Point Cloud Data Details
  • Contour Data Details
  • Survey Details

Simple

 
 

Description

Title
Greater Melbourne LiDAR - Point Cloud 
 
 

Temporal

Time period
2017-11-282018-10-27 
 
 

Spatial

Horizontal Accuracy
0.2m  
Vertical Accuracy
0.1m  
Code
MGA Zone 55 GDA94 
 
 

Maintenance

 
 

Format

Title
Other 
 
 

Contacts

  Point of contact

Department of Transport and Planning - Coordinated Imagery Program  
PO Box 500
East Melbourne
Victoria
3002
Australia
 
 

Keywords

Topic category
  • Elevation
 
 

Resource Constraints

Use limitation
General 
Classification
Unclassified  
 
 

Lineage

Description
The IMU and post processed airborne GPS logs were used to generate the LiDAR point cloud from the waveform instrument data. Raw LiDAR swaths were levelled to establish internal consistency, merged and 1km x 1km tiles in LAS v1.2 format were created. An automatic classification algorithm was applied in TerraScan software to produce an initial classification of ground (2) and unclassified (1). High and low noise points were automatically classified and allocated to class 7. The ground classification was improved manually by visually scanning the ground surface and reassigning points from ground to unclassified to remove spikes and by assigning unclassified points to ground where the ground surface lacked sufficient detail to describe the terrain (i.e. large TIN triangles). The classification of ground points was to the ICSM level 2 standard (98% accuracy with respect to ground points). On completion of the ground classification automatic algorithms were used to classify unclassified points to low vegetation (3), medium vegetation (4), high vegetation (5), buildings (6), water (9) and bridge (10). Ground points were confirmed and retained. The classification accuracy was not measured empirically. Upon successful classification, the dataset was converted from ellipsoidal to orthometric using AusGeoid09, and tiles were regenerated to 1km x 1km and LAS v1.4. 
 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Positional Accuracy
Conceptual Consistency
Comments
The data adheres to the logical rules of data structure, attribution and relationships as per project specifications. Dataset provided as LAS 1.4. 
Missing Data
Comments
Point cloud dataset is complete for the defined project extent. 
Excess Data
 
 

Acquisition Info

Platform Type
Aerial  
Assembly
Mosaic  
Tile Size
1 km  
 
 

Raster Data Details

 
 

Point Cloud Data Details

Pulse Mode
Multipulse 1-8 
Scan Rate (Hz)
178Hz  
Scan Frequency (kHz)
400kHz  
Scan Angle (degrees)
30degrees  
Footprint Size (m)
0.12m  
Point Density Target (pts/m2)
8points/m2  
Point Density Actual (pts/m2)
8points/m2  
Point Spacing Target (pts/m)
0.34999999points/m2  
Point Spacing Actual (pts/m)
0.38points/m2  
Ellipsoid Provided
1 
Ellipsoid Vertical Datum
GRS80 Ellipsoidal (ITRF2005)  
Ellipsoid Format
Other  
Geoid Vertical Datum
AUSGEOID09  
Additional Adjustments
Provided as LAS 1.4 
Environmental Conditions
Project was specified to be flown in appropriate environmental conditions, free of cloud, fog and heavy smoke haze. 
Tidal Conditions
Coastal areas were specified to be captured within 2 hours of low tide. 
Class Level
2 
Classification
Class Level Class 0 - Unclassified Class 1 - Default Class 2 - Ground Class 3 - Low Vegetation Class 4 - Medium Vegetation Class 5 - High Vegetation Class 6 - Buildings/Structures Class 7 - Low/High Points Class 8 - Model Key Points Class 9- Water Class 10 - Bridge Class 12 - Flightline Overlap Points
2 1 1 1 1 1 1 1 1 1 1 1 0
 
 

Contour Data Details

 
 

Survey Details

Sensor

Title
Trimble AX60 
Identifier
Aerial

Type
LIDAR 
Cloud Cover Percentage
0 
 

Aerial Survey Details

Runs
4567 
Run Orientation
E-W and N-S  
Swath Width
520 
Side Overlap
30 
Flying Height Unit
agl metre  
Flight Height
450 
 
 

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