Title

Avenel LiDAR - GDA2020 

Resource Type

Dataset  

Spatial representation type

Point Cloud  

Horizontal Accuracy

0.3m  

Code

MGA Zone 55 GDA2020 

 

Title

LAS 1.4 

Topic category

• Elevation

Use limitation

General 

Classification

Unclassified  

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. 

Classification

Unclassified