Native Vegetation - Modelled Extent 2005
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  Native Vegetation - Modelled Extent 2005

dataset: NV2005_EXTENT
Modelled dataset of Native Vegetation and major water-based habitats, created by the Arthur Rylah Institute, and completed July 15th , 2007 NV2005_EXTENT has been created from time-series(between 1989-2005) Landsat Imagery, many thousands of ground-truthing points, other relevant spatial data and expert validation. The dataset is a good interpretation of native vegetation extent (including aquatic habitat), but must be used with care, given it's modelled nature. The dataset categorises the landscape into eight categories ranging from 'highly likely native vegetation' through to 'unlikely to support native vegetation'.
 
Citation proposal Citation proposal
(2020)

Native Vegetation - Modelled Extent 2005

Department of Energy, Environment and Climate Action

https://metashare.maps.vic.gov.au/geonetwork/srv/eng/catalog.search#/metadata/58e3ca32-e951-5bfa-9974-728cea56a14e
 
  • Description
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  • Constraints
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  • Acquisition Info
  • Metadata Constraints

Description

Title
Native Vegetation - Modelled Extent 2005 
Alternate title
NV2005_EXTENT 
Purpose
To provide a consistent view of native vegetation extent across the state of Victoria at a landscape scale, primarily to inform and assist in native vegetation management. In particular this dataset will be used for strategic landscape-scale considerations & to identify potential native vegetation implications associated with planning decisions. Planning or investment decisions at the site-scale should use some form of ground-truthing. This dataset does not replace the Ecological Vegetation Class (EVC) datasets as it does not include EVC typology or conservation status (see NV1750_EVCBCS and NV2005_EVCBCS) 
Status
Completed  
 
 

Contacts

Cited responsible party  

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Cited responsible party  

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Cited responsible party  

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Cited responsible party  

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Keywords

Topic category
  • Biota
 
 

Constraints

Classification
Unclassified  
 
 

Extents

 
 

Acquisition Info

RFQ Number
 
 

Metadata Constraints

Classification
Unclassified  
 
 

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