Little Desert - LiDAR
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  Little Desert - LiDAR

dataset
Dataset: Little Desert - LiDAR Assembly: Single
 
Citation proposal Citation proposal

Little Desert - LiDAR

Department of Transport and Planning

https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/302e50db-1644-5c82-8c36-3f155641fce7
 

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
ANZVI0008101194 
Topic category
  • Elevation
 

Resource Constraints

Use limitation
General 
Classification
Unclassified  
 

Other Dataset Details

Format
LAS 1.3, Waveform Packets 
 

Spatial

Spatial representation type
Point Cloud  
Reference system identifier
MGA Zone 54 GDA94

 

Resolution

Horizontal Accuracy
0.3m  
Vertical Accuracy
0.1m  
 

Quality

Conceptual Consistency
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. The Riegl Q1560 LiDAR sensor is an extremely sensitive system and also contains a unique functionality with ¿multi-time-around¿ technology. The combination of these two factors increases the number of high/low outliers compared to other LiDAR sensors. 
Missing Data
Gaps may occur due to the multi-time-around technology of the Reigl Q1560 LiDAR Sensor, or from diminished returns over water, under canopy and on materials with low laser reflectivity, such as black roofing, swimming pools. 
 

Lineage

Description
LiDAR was acquired over the project area. 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 manifested 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) being applied to all flights of LiDAR data in this project. The acquired LiDAR strikes were transformed into an ellipsoid point cloud using a solution obtained from the onboard IMU and GPS and Victorian CORS network. The point cloud was then adjusted to AHD using AusGeoid09. Checks against an network of surveyed ground control resulted in further general and local adjustments where required. Reduction of the LiDAR data proceeded without any significant problems. Laser returns were classified into ground and non ground classes using a single algorithm tailored to the project before further automatic classification was performed to differentiate non ground features into their respective classes. Following this, manual checking and editing was undertaken to improve the classification of the ground class. 

Text

No information provided.
 

Acquisition Date

Begin date
2016-01-09 
End date
2016-01-10 
 

Instrument

Name
Riegl Q1560 
Type
LIDAR 
Platform Type
Aerial 
 

Acquisition Data (Common)

Status
complete  
Assembly
Single  
Tile Size
2 km  
 

Point Cloud Details

Pulse Mode
Multi Pulse 
Scan Rate (Hz)
102Hz  
Scan Frequency (kHz)
400kHz  
Scan Angle (degrees)
60degrees  
Footprint Size (m)
0.25m  
Point Density Actual (pts/m2)
4points/m2  
Point Spacing Actual (pts/m)
0.5points/m2  
Ellipsoid Provided
1 
Ellipsoid Vertical Datum
GRS80 Ellipsoidal (ITRF2005)  
Ellipsoid Format
LAS 1.2  
Geoid Vertical Datum
AUSGEOID09  
Additional Adjustments
Ground data in this volume has been compared to 364 test points obtained by field survey and assumed to be error-free. The test points were distributed in 4 groups across the mapping area and located on open clear ground. Comparison of the field test points with elevations interpolated from measured data resulted in the mean difference for Horsham (-0.918m) being removed from the data. 
Class Level
2 
Classification Accuracy
98 
Classification
Class Level Classification Accuracy 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 98 1 1 1 1 1 1 1 1 1 1 1 0
 

Aerial Survey Details

Runs
10 
Run Orientation
N-S  
Swath Width
1480 
Side Overlap
33 
Forward Overlap
60 
Flying Height Unit
agl metre  
Flight Height
1400 
 

About the Metadata Record

Metadata identifier
302e50db-1644-5c82-8c36-3f155641fce7

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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