2008-9 Greater Melbourne Urban - LiDAR Project
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2008-9 Greater Melbourne Urban - LiDAR Project

project: cep03-2008-09_greater-melb
The 2008-9 Greater Melbourne Urban LiDAR Project consists of high accuracy LiDAR data covering outer Melbourne Water districts (Greater Melbourne) including small priority areas. From the raw LiDAR data, a suite of elevation products was generated including 1m DEM and 0.5m Contours and classified LiDAR strikes. LiDAR (Light Detection and Ranging) is an airborne remote sensing technique for rapid collection of terrain data. The sensor used for this LiDAR project collected XYZ and Intensity data for first and last return by bouncing a pulse from the aircraft to the surface that enables the height and intensity values to be calculated. Project Products: DEM, Contours, LiDAR Strikes
 
Citation proposal Citation proposal

(2009)

2008-9 Greater Melbourne Urban - LiDAR Project

Department of Transport and Planning

https://dev-metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/ef037b9b-75f2-556f-8644-28e2c889b778
  • Description
  • Temporal
  • Spatial
  • Maintenance
  • Format
  • Contacts
  • Keywords
  • Constraints
  • Lineage
  • Metadata Constraints Metadata Constraints
  • Quality
  • Acquisition Info
  • Raster Data Details
  • Raster Type Details
  • Point Cloud Data Details
  • Contour Data Details
  • Survey Details

Description

Title
2008-9 Greater Melbourne Urban - LiDAR Project 
Alternate title
cep03-2008-09_greater-melb 
Purpose
Flood Mapping, Planning, Conceptual Design 
 
 

Temporal

Time period
20082009 
 
 

Contacts

  Point of contact

Department of Transport and Planning - Vicmap CIP

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
 
 

Constraints

Use limitation
General 
Classification
Unclassified 
 
 

Metadata Constraints Metadata Constraints

Classification
Unclassified 
 
 

Quality

Attribute Quality
Positional Accuracy
Conceptual Consistency
Missing Data
Excess Data
 
 


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