LiDAR Point Cloud
dataset
Dataset: LiDAR Point Cloud
Assembly: Single
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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
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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
Overviews
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Associated resources
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