2009-10 North West Melbourne LiDAR Project
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2009-10 North West Melbourne LiDAR Project

project: cep39-2009-10_nw-aug
The Wombat State Forest represents a gap in MWs recent elevation data coverage (both LiDAR and Photogrammetric). In addition, DSE sees an opportunity to expand MW AOI to complete the entire western side of the Port Phillip and Western Port CMA with high accuracy LiDAR coverage. This would encompass the Wombat State Park area and supersede pre-existing, lower accuracy elevation data sets. This coverage would adjoin the western edge of the Melbourne LiDAR project and leave only the extreme South Eastern section of the PPWP CMA not covered by high accuracy LiDAR data. AAM was commissioned by the Department of Sustainability and Environment to conduct a LiDAR survey over the North West Melbourne Area. The project area, comprising a total area of approximatley 2600 square kilometres, has been divided into 3 sub areas.
 
Citation proposal Citation proposal

(2011)

2009-10 North West Melbourne LiDAR Project

Department of Transport and Planning

https://dev-metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/ac48568a-448f-5580-917d-4e6886662f7d
  • 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
2009-10 North West Melbourne LiDAR Project 
Alternate title
cep39-2009-10_nw-aug 
 
 

Temporal

Time period
20092010 
 
 

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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