Avenel LiDAR - GDA94
dataset
Dataset: Avenel LiDAR - GDA94
Assembly: Mosaic
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Citation proposal Citation proposal
Avenel LiDAR - GDA94 Department of Transport and Planning https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/a87edc0b-b2d2-5016-b3af-5b5475d7963a |
- 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
- Avenel LiDAR - GDA94
Temporal
- Time period
- 2019-10-242019-10-24
Spatial
- Horizontal Accuracy
- 0.3m
- Vertical Accuracy
- 0.1m
- Code
- MGA Zone 55 GDA94
Maintenance
Format
- Title
- LAS 1.4
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
- LiDAR data captured using on-board GPS, IMU and a network of local base stations. Trajectories and laser data corrected initially using the AusGeoid2020 and then adjusted to AHD using local base stations. LiDAR data is classified into multiple ground and non-ground classes. Derivative products are provided from the triangulated surface. Ground Points Ground points are selected from the laser point cloud through iteratively building a triangulated surface model. The building size gives the starting surface point density and the iteration angle determines how close a point has to be to the surface to be included. The ground classification settings used were as follows: Max Building Size 50.0m Terrain Angle 88.0° Iteration Angle 10 Iteration distance 1.5m to plane Reduce iteration angle when edge length < 3.0m Water Water was identified based primarily on laser intensity but also by looking at the laser data in profile. These points were then manually reclassified from Ground to Water. Vegetation The non-ground points were classified into vegetation based on each point¿s height from the ground surface: Low Vegetation 0.01m - 0.30m Medium Vegetation 0.30m ¿ 2.00m High Vegetation greater than 2.0m As well as vegetation, non-ground classified points could be objects such as cars, fences, and power lines. Bridges Manually identified and removed from the ground surface. Buildings Automatically classified from the High Vegetation class (points >2m above Ground) if larger than 20m².
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.
Missing Data
- Comments
- Dataset is complete for the Avenel area, with data clippled to a mosiac boundary coincident with the specified AOI.
Excess Data
Acquisition Info
- Platform Type
- Aerial
- Assembly
- Mosaic
- Tile Size
- 1 km
Raster Data Details
Point Cloud Data Details
- Scan Rate (Hz)
- 65Hz
- Scan Frequency (kHz)
- 550kHz
- Scan Angle (degrees)
- 20degrees
- Footprint Size (m)
- 0.315m
- 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 1.4
- 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 0 1 1 1 1 1 1 0 1 1 0
Contour Data Details
Survey Details
Sensor
- Title
- Optech Galaxy
- Identifier
- Aerial
- Type
- LIDAR
Aerial Survey Details
- Run Orientation
- Not Entered
- Swath Width
- 1000
- Side Overlap
- 30
- Flying Height Unit
- agl metre
- Flight Height
- 1445
Overviews
Provided by
Views Views
a87edc0b-b2d2-5016-b3af-5b5475d7963a
Access to the portal Access to the portal
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Associated resources
Not available