LiDAR Point Cloud
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  LiDAR Point Cloud

dataset
Dataset: LiDAR Point Cloud Assembly: Single
 
Citation proposal Citation proposal

LiDAR Point Cloud

Department of Transport and Planning

https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/aadff9b9-10b3-5c5b-a1ee-4158bdaa5bb8
 
  • 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
LiDAR Point Cloud 
 
 

Temporal

Time period
2014-11-122015-01-16 
 
 

Spatial

Horizontal Accuracy
0.18m  
Vertical Accuracy
0.1m  
Code
MGA Zone 55 GDA94 
 
 

Maintenance

 
 

Format

Title
LAS 1.2 Classification Level 2 
 
 

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
LiDAR data was captured using onboard GPS, IMU and a network of ground base stations. Trajectories and laser data was corrected initially using AusGEOID09 and then adjusted to AHD using local PSM's. LiDAR data is classified into multiple ground and non-ground classes using standard classification algorithims. Water was identified based primarily on laser intensity but also by at the laser data in profile. These points were then manually reclassified from ground to water. Default points represent laser returns considered to be noise returns, ie points above ground but below 0.10m. The Vegetation Class were classifed through auto classification algorithims and seperated into three classes Low (0.10 - 0.30m), Med ( 0.30m-2m) and High (+2m). Buildings were automatically classifed from the High Veg Class, and bridges were manually identified and classified. 
 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Positional Accuracy
Conceptual Consistency
Comments
All classification codes used are complete and valid. The definition of the ground under trees may be less accurate. 
Missing Data
Comments
The LiDAR datasets representing various ground and non-ground features are complete for the defined project extents. The vegetation classification codes may include non-ground classified points like, cars, fences tanks, powerlines, small sheds etc. 
Excess Data
 
 

Acquisition Info

Platform Type
Aerial  
Assembly
Single  
Tile Size
1 km  
 
 

Raster Data Details

 
 

Point Cloud Data Details

Pulse Mode
Single 
Scan Rate (Hz)
34Hz  
Scan Frequency (kHz)
70kHz  
Scan Angle (degrees)
25degrees  
Footprint Size (m)
0.33000001m  
Point Density Actual (pts/m2)
1points/m2  
Point Spacing Actual (pts/m)
1points/m2  
Ellipsoid Provided
0 
Geoid Vertical Datum
AUSGEOID09  
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 0 1 1 1 1 1 1 1 1 1 1 1
 
 

Contour Data Details

 
 

Survey Details

Sensor

Title
ALTM Gemini 
Identifier
Aerial

Type
LIDAR 
 

Aerial Survey Details

Runs
46 
Run Orientation
Various  
Swath Width
1000 
Side Overlap
30 
Flying Height Unit
agl metre  
Flight Height
1100 
 
 

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  Associated resources

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