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
 

Details

Contacts

  Point of contact

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

Identifiers and Keywords

ANZLIC Id
ANZVI0008103059 
Topic category
  • Elevation
 

Resource Constraints

Use limitation
General 
Classification
Unclassified  
 

Other Dataset Details

Format
LAS 1.2 Classification Level 2 
 

Spatial

Spatial representation type
Point Cloud  
Reference system identifier
MGA Zone 55 GDA94

 

Resolution

Horizontal Accuracy
0.18m  
Vertical Accuracy
0.1m  
 

Quality

Conceptual Consistency
All classification codes used are complete and valid. The definition of the ground under trees may be less accurate. 
Missing Data
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. 
 

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. 

Text

No information provided.
 

Acquisition Date

Begin date
2014-11-12 
End date
2015-01-16 
 

Instrument

Name
ALTM Gemini 
Type
LIDAR 
Platform Type
Aerial 
 

Acquisition Data (Common)

Status
complete  
Assembly
Single  
Tile Size
1 km  
 

Point Cloud 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
 

Aerial Survey Details

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

About the Metadata Record

Metadata identifier
aadff9b9-10b3-5c5b-a1ee-4158bdaa5bb8

Contact  

No information provided.
Resource Type
Dataset  
Date info ( Revision )
2023-03-22T00:22:23
Standard Name
ISO 19115-3:2018 
Profile Name
DELWP Profile 
Profile Version
Version 1 
Profile Date
2019-05-24  
 

Metadata Constraints

Classification
Unclassified  
 
 

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