2019-20 Budj Bim LiDAR Project

project: cep25-2019-20_budj-bim_LiDAR
On behalf of the Gunditj Mirring Traditional Owners Aboriginal Corporation (GMTOAC), DELWPs Coordinated Imagery Program undertook an aerial LiDAR and concurrent imagery survey over the Budj Bim Cultural Landscape including Lake Condah and the lava flow down to the southern coast; an area totalling 300km2. The site has been formally recognised on the UNESCO World Heritage list for its Aboriginal cultural values mainly relating to aquaculture which date back to over 6000 years. The primary purpose of the survey was to collect data of sufficient detail to support the identification and mapping of cultural heritage features known to exist throughout the area. The valuable data would also support landscape assessment and land management activities. The surveyed data includes 10cm true colour aerial photography and highly detailed LiDAR data at an aggregated point density of approximately 80 points per square metre (ppsm). This was achieved through a combination of multi-swath captures designed at 25-30 ppsm in the N-S, SW-NE & E-W directions. These were used to derive a range of standard and non-standard DEM datasets and colourised LiDAR points clouds. The data is considered culturally sensitive and requires permission by the Gunditj Mirring Traditional Owners Aboriginal Corporation (GMTOAC) for access.
 
Citation proposal Citation proposal
(2020)

2019-20 Budj Bim LiDAR Project

Department of Transport and Planning
 

Simple

 
 

Description

Title
2019-20 Budj Bim LiDAR Project 
Alternate title
cep25-2019-20_budj-bim_LiDAR 
Purpose
Landscape management and cultural heritage mapping 
 
 

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
Restricted 
Classification
Restricted  
 
 

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