2021-22 DTV LiDAR - Hamilton
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  2021-22 DTV LiDAR - Hamilton

project: cep15c-2021-22_dtv_lidar_hamilton
This LiDAR survey was undertaken as part of a larger DTV LiDAR capture project in operation between 2022 and 2024. The DTV LiDAR Project comprises of almost 60 separate LiDAR survey blocks totaling over 60,000 square kilometres within Victoria. The project was managed by the Coordinated Imagery Program on behalf of the Digital Twin Victoria (DTV) program, a four-year $37.4 million State Government investment designed to fast track the adoption of new geospatial data and emerging technologies. When completed, the LiDAR capture project will have achieved coverage of over 99 percent of the population and 95 per cent of the buildings in the Victoria. The primary use of the data is the creation of a ‘bare earth’ digital elevation model (DEM) that will underpin the DTV geospatial data platform. Numerous other important secondary uses will also benefit from the data collected such as river health monitoring, vegetation analysis and heritage cultural mapping.
 
Citation proposal Citation proposal
(2022)

2021-22 DTV LiDAR - Hamilton

Department of Transport and Planning

https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/e8c8c929-05a2-557c-b5c3-f0dcff080574
 
  • Description
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  • Maintenance
  • Format
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  • Keywords
  • Resource Constraints
  • Lineage
  • Metadata Constraints
  • Quality
  • Acquisition Info
  • Raster Data Details
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  • Point Cloud Data Details
  • Contour Data Details
  • Survey Details

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Description

Title
2021-22 DTV LiDAR - Hamilton 
Alternate title
cep15c-2021-22_dtv_lidar_hamilton 
Purpose
The primary purpose is the generation of a state wide 1m DEM 
 
 

Temporal

Time period
20212022 
 
 

Spatial

 
 

Maintenance

 
 

Format

 
 

Contacts

  Point of contact

Department of Transport and Planning - Coordinated Imagery Program  
PO Box 500
East Melbourne
Victoria
3002
Australia

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Imagery base maps earth cover
 
 

Resource Constraints

Use limitation
General 
Classification
Unclassified  
 
 

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

 
 

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e8c8c929-05a2-557c-b5c3-f0dcff080574   Access to the portal Access to the portal Read here the full details and access to the data. Read here the full details and access to the data.

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