Title

LiDAR Point Cloud 

Resource Type

Dataset  

Spatial representation type

Point Cloud  

Horizontal Accuracy

0.18m  

Code

MGA Zone 55 GDA94 

 

Title

LAS 1.2 Classification Level 2 

Topic category

• Elevation

Use limitation

General 

Classification

Unclassified  

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. 

Classification

Unclassified