2009-10 Victorian State Wide Rivers LiDAR Project - Mallee CMA

project: cip09-2009-10_isc_rivers_mcma
River condition in Victoria is assessed every 5 years using the Index of Stream Condition (ISC). The Department of Environment and Primary Industries (DEPI) has developed a methodology to assess components of the ISC using remote sensing techniques, specifically LIDAR and aerial photography. As such, a State Wide mapping project was undertaken in 2009-12 to accurately map the riparian vegetation and physical form components (metrics) of the ISC using LiDAR and imagery data. Remote sensing data collected includes 15cm true colour infra-red aerial photography and four return multi-pulse LiDAR data. These were used to derive a range of standard and non-standard physical form and riparian vegetation raster datasets. The project was managed on a CMA by CMA basis with all source and derived datasets being organised this way. In addition to the remote sensing and derived raster products, a set of vector products and tabular data has also been generated. These further represent and define the physical form and riparian characteristics of the ISC rivers and contain the ISC scoring data. Keywords: River, ISC, Victoria, LiDAR, Riparian, Physical Form, Vegetation, Elevation
 
Citation proposal Citation proposal
(2011)

2009-10 Victorian State Wide Rivers LiDAR Project - Mallee CMA

Department of Transport and Planning
 

Description

Title
2009-10 Victorian State Wide Rivers LiDAR Project - Mallee CMA 
Alternate title
cip09-2009-10_isc_rivers_mcma 
Resource Type
Project  
Purpose
To map and assess the condition of physical form and riparian vegetation for DSE's Index of Stream Condition (ISC) reporting requirements 
 
 

Temporal

 
 

Spatial

Spatial representation type
Grid  
Description
The Riparian zone of the ISC rivers within the Mallee Catchment Management Area (CMA) 2009. 
 

 

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
General 
Classification
Unclassified  
 
 

Lineage

 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Positional Accuracy
Conceptual Consistency
Missing Data
Excess Data
 
 

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