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 
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. 
 
 

Contacts

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Imagery base maps earth cover
 
 

Constraints

Classification
Limited Distribution  
 
 

Extents

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. 
Time period
20182019 
 
 

Acquisition Info

Program
DELWP 
Method
Captured  
RFQ Number
RFQ Number
31-2018-19 

Cited responsible party  

No information provided.
 
 

Metadata Constraints

Classification
Unclassified  
 
 

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