Avenel LiDAR - GDA2020
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Avenel LiDAR - GDA2020

dataset
Dataset: Avenel LiDAR - GDA2020 Assembly: Mosaic
 
Citation proposal Citation proposal

Avenel LiDAR - GDA2020

https://uat-metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/5025cf0a-4df6-52ea-b855-7fd03559bf2c
  • Description
  • Temporal
  • Spatial
  • Maintenance
  • Format
  • Contacts
  • Keywords
  • Resource Constraints
  • Lineage
  • Metadata Constraints Metadata Constraints
  • Quality
  • Acquisition Info
  • Raster Data Details
  • Raster Type Details
  • Point Cloud Data Details
  • Contour Data Details
  • Survey Details

Description

Title
Avenel LiDAR - GDA2020 
 
 

Temporal

Time period
2019-10-242019-10-24 
 
 

Spatial

Horizontal Accuracy
0.3m 
Vertical Accuracy
0.1m 
Code
MGA Zone 55 GDA2020 
 
 

Format

Title
LAS 1.4 
 
 

Contacts

  Point of contact



  Custodian



 
 

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 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 
 
 

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
0 
Ellipsoid Vertical Datum
GRS80 Ellipsoidal (ITRF2005) 
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
 
 

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
asl metre 
Flight Height
1445 
 
 


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