2018-19 3D Regional Victoria Towns LiDAR

project: cip31-2018-19_3d_regional_towns_lidar
The aim of the project is to investigate the feasibility of extending the States's foundation data sets (VICMAP) into 3D and 4D. The LiDAR captured in this project supported the generation of 3D photo mesh and Building Object Model for a subset of the 18 sites/townships. The LiDAR collected through this project forms the foundation for which the 3D models are built and support the visualisation of the natural and built environment in 3D. Complete site/town LiDAR, GRIDs and Imagery dataset can be access via tinyurl.com/a7q1sype (Esri ASCII, ECW) In addition LiDAR point clouds and GRIDs can be accessed via Geoscience Australia - Elvis: https://elevation.fsdf.org.au/ (32bit GeoTIFF, LAZ) 3D Models associated with this project can be access from tinyurl.com/3f9x2rfx 3D Models, Lidar and Imagery can be visualised using Geocirrus 3D-GIS Web Application (tinyurl.com/5xk8v2fz) available until June 30, 2021
 
Citation proposal Citation proposal
(2020)

2018-19 3D Regional Victoria Towns LiDAR

Department of Transport and Planning
 

Description

Title
2018-19 3D Regional Victoria Towns LiDAR 
Alternate title
cip31-2018-19_3d_regional_towns_lidar 
Resource Type
Project  
Purpose
The aim of the project is to investigate the feasibility of extending the States's foundation data sets (VICMAP) into 3D and 4D, supporting the visualisation of the natural and built environment. 
 
 

Temporal

 
 

Spatial

Spatial representation type
Grid  
Description
The project consists of 18 Victorian regional areas. This list of sites are; Ararat, Ballarat, Bendigo, Castlemaine, Echuca, Horsham, Kilmore, Latrobe Valley Corridor (Drouin, Warragul, Trafalgar, Moe), Mildura, Sale, Seymour, Shepparton, Swan Hill, Traralgon, Wangaratta, Warracknabeal, Wonthaggi. 
 

 

Maintenance

 
 

Format

 
 

Contacts

  Point of contact

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Imagery base maps earth cover
 
 

Resource Constraints

Use limitation
Data Vic 
Classification
Limited Distribution  
 
 

Lineage

 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Positional Accuracy
Conceptual Consistency
Missing Data
Excess Data
 
 

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