3D Regional POC - Echuca 3D Model

project: Cip21-2019-30_3D_POC_Echuca_3D_Model
The 3D Regional Proof of Concept (POC) purpose is to understand the feasibility of incorporating 3D datasets in the Vicmap suite of products. The 3D POC specifically focuses on the investigation of 3D model data types and the spatial capture technologies required to produce them, the quality of outputs and value-benefit for CIP partners as well as the community. Echuca 3D Model project: 5cm Aerial Photography acquisition was completed over Echuca on the 17th of December 2019 for the purpose of creating textured 3D Object Model (1.8km2), Photogrammetric Mesh (24.5m2). and Aerial Orthoimagery (24.5km2). This project and other 3D Regional POC datasets can be visualised using Geocirrus 3D-GIS Web Application (tinyurl.com/5xk8v2fz) available until June 30, 2021 All 3D Regional POC dataset can be accessed/downloaded via the link tinyurl.com/3f9x2rfx This project includes a subset of Imagery and Elevation data over the 3D Model extent (3D Regional Towns LIDAR). Full extent of site/town Elevation 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)
 
Citation proposal Citation proposal
(2020)

3D Regional POC - Echuca 3D Model

Department of Transport and Planning
 

Simple

 
 

Description

Title
3D Regional POC - Echuca 3D Model 
Alternate title
Cip21-2019-30_3D_POC_Echuca_3D_Model 
Purpose
To understand the feasibility of incorporating 3D datasets in the Vicmap suite of products. 
 
 

Temporal

Time period
20192020 
 
 

Spatial

 
 

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
 
 

Acquisition Info

 
 

Raster Data Details

 
 

Point Cloud Data Details

 
 

Contour Data Details

 
 

Survey Details

 
 

    Overviews

  Provided by

  Share on social sites

         

  Views Views

Read here the full details and access to the data. Read here the full details and access to the data.

  Associated resources

Not available