Metadata Name Descriptions
Resource Name: NV2005_EXTENT
Title: Native Vegetation - Modelled Extent 2005
Anzlic ID: ANZVI0803003404
Custodian:
Abstract:
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'.
Search Words: Biota
Publication Date: 02 February 2018
Dataset Status: Complete statewide coverage Completeness Verification: The neural network modelling process, involving many thousands of groundtruthing points, along with expert validation
Progress: Completed
Access Constraint:
Creative Commons Attribution 4.0 (CC-BY) ( License Text )
Public access This is a landscape scale dataset, site verification is required for site based projects Planning or investment decisions at the site-scale should use some form of ground-truthing.
Data Existence:
Metadata Name Descriptions
Resource Name: NV2005_EXTENT
Title: Native Vegetation - Modelled Extent 2005
Anzlic ID: ANZVI0803003404
Custodian:
Owner:
Jurisdiction: Victoria
Abstract:
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'.
Search Words: Biota
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)
Geographic Extent Polygon:

Geographic Bounding Box:
Beginning to Ending Date: 1989-01-01 - 2005-01-01
Maintainence and Update Frequency: Unknown
Stored Data Format:
Available Format(s) Types: DIGITAL - All major formats available
Positional Accuracy:
Highly accurate
Attribute Accuracy:
This dataset is a modelled view of native vegetation derived from analysis of satellite imagery & a variety of satellite & other data. As such, there is a high level of confidence in the native tree cover categories, and slightly less confidence in the native grassland / pasture cover classes. Confidence in attribute accuracy is expressed  using the adverbs - 'unlikely', 'possibly' and 'highly likely', where  'Possibly native vegetation' indicates less confidence than 'Highly likely native vegetation'.  Also, refer to data derivation process.
Logical Consistency:
Good
Data Source:
Dataset Source: The layer is a composite data set primarily incorporating new and existing models of vegetation cover and ancillary spatial data used as masks or overlays.  Data sources used in the creation of NVE_2005 :
TREE25 (CGDL ) - 10 metre grid, of  presence/absence of trees 
LANDSAT Imagery - Statewide for 9 years (Commonwealth Greenhouse prep)
Site based training dataset - presence/absence data for each of the structural vegetation types 



Dataset Originality: Primary & Derived
Contact Organisation:
Contact Position:
Address:
Telephone:
Facsimile:
Email Address:
Metadata Date: 2020-06-22
Additional Metadata:
                            
                              Relationship to other Datasets: This dataset is part of a series of native vegetation datasets, which have the following naming convention - NV{year}-ATTRIBUTE(s):
NV2005_EXTENT - Modelled extent of native vegetation (very broad categories)
NV1750_EVC - Mapped pre 1750 ecological vegetation classes (EVCs) distribution
NV1750_EVCBCS - Mapped pre1750 EVC distribution with Bioregional Conservation Status derived from NV1750_EVC and VBIOREGION100 and depletion statistics, also contains  pre1750 geographic occurrence of EVCs
NV2005_EVCBCS - Extant EVC distribution with Bioregional Conservation Status derived from NV1750_EVCBCS and NV2005_EXTENT , also contains pre1750 geographic occurrence 
NV2005_QUAL - Modelled Native Vegetation Quality - includes modelled site condition and patch-based landscape context
NV2005_LSIMP - Landscape Scale native vegetation importance and connectivity derived from NV2005_EVCBCS, NV2005_QUAL and landscape connectivity

Related Documents: None
                            
                          
Column Name Obligation Unique Data Type Reference Table Comments
HECTARES O N NUMBER
AREASQM O N NUMBER
X_NVEDESC O N VARCHAR2
NVE O N NUMBER