2017-19 Rivers Audit Project - Mallee CMA

project: cep06-2017-18_rivers_LiDAR_MCMA
The 2017-19 River condition audit project has been undertaken to supplement and compare mapping undertaken in DELWPs 2009-10 Index of Stream Condition (ISC) assessment. The Department of Environment, Land, Water, Planning (DELWP) has developed a methodology to assess aspects of river condition using remote sensing data, specifically LIDAR and aerial photography. This project collects LiDAR and imagery for a subset of rivers mapped in the original 2009-10 ISC survey. In addition to supporting the generation of physical form and ripartian vegetation metrics, the data has been used to identify change over time. LiDAR and imagery was captured for 70 rivers across nine CMAs over two seasons (2017-18 and 2018-19). Mallee CMA rivers were captured in the second season, so the data is from 2018-19. Remote sensing data collected includes LiDAR data at four points per m² and 12.5cm aerial photography. 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.
 
Citation proposal Citation proposal
(2019)

2017-19 Rivers Audit Project - Mallee CMA

Department of Transport and Planning
 

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Description

Title
2017-19 Rivers Audit Project - Mallee CMA 
Alternate title
cep06-2017-18_rivers_LiDAR_MCMA 
Purpose
To map and assess condition and change in physical form and riparian vegetation at selected rivers by comparing LiDAR and imagery captured in 2017-18 against baseline 2009-10 data 
 
 

Temporal

Time period
20182019 
 
 

Spatial

 
 

Maintenance

 
 

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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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