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/e327de67-2651-5eb5-be23-d7e6dbefab3c |
- 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 GDA2020
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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Associated resources
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