Little Desert - LiDAR
dataset
Dataset: Little Desert - LiDAR
Assembly: Single
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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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Associated resources
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