Contacts

Identifiers and Keywords

ANZLIC Id

ANZVI0008103680 

Topic category

• Elevation

Resource Constraints

Use limitation

General 

Classification

Unclassified  

Other Dataset Details

Format

LAS 1.4 

Spatial

Spatial representation type

Point Cloud  

Reference system identifier

MGA Zone 55 GDA2020

Resolution

Horizontal Accuracy

0.3m  

Vertical Accuracy

0.1m  

Quality

Conceptual Consistency

The data adheres to the logical rules of data structure, attribution and relationships as per project specifications. 

Missing Data

Dataset is complete for the Avenel area, with data clippled to a mosiac boundary coincident with the specified AOI. 

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. 

Acquisition Date

Begin date

2019-10-24 

End date

2019-10-24 

Instrument

Name

Optech Galaxy 

Type

LIDAR 

Platform Type

Aerial 

Acquisition Data (Common)

Status

complete  

Assembly

Mosaic  

Tile Size

1 km  

Point Cloud 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

Aerial Survey Details

Run Orientation

Not Entered  

Swath Width

1000 

Side Overlap

30 

Flying Height Unit

asl metre  

Flight Height

1445 

About the Metadata Record

Metadata identifier

5025cf0a-4df6-52ea-b855-7fd03559bf2c

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