Victorian Land Use Information System 2014/2015

dataset: LANDUSE_2014
The Victorian Land Use Information System (VLUIS) dataset has been created by the Spatial Information Sciences Group of the Agriculture Research Division in the Department of Economic Development, Jobs, Transport, and Resources. The method used to create VLUIS is significantly different to traditional methods used to create land use information and has been designed to create regular and consistent data over time. It covers the entire landmass of Victoria and separately describes the land tenure, land use and land cover for each cadastral parcel across the state, biennially for land tenure and use and annually for land cover; for each year from 2006 to 2015. The data can be provided as a spatial dataset or in tabular format. To use the VLUIS data correctly it is important to understand the difference between the three components of VLUIS. The Guidelines for land use mapping in Australia: principles, procedures and definitions, Edition 3 published in 2006 by the Commonwealth of Australia, defines them as follows: Land tenure is the ownership and leasehold interests in land (VLUIS only reports ownership). Land use means the purpose to which the land cover is committed or the property type. Land cover refers to the physical surface of the earth, including various combinations of vegetation types, soils, exposed rocks and water bodies as well as anthropogenic elements, such as agriculture and built environments. The Victorian Land Use Information System (VLUIS) is an ongoing project designed to maintain and manage the Victorian land use mapping dataset. The methodology is still being refined and as such the dataset is subject to improvements and the release of later versions. It is important you speak to the custodian to be advised of the technical details of the dataset and its utility for your desired use. Land Cover 2014: Land cover classification accuracy statements for the entire state may not be representative of land cover classification accuracy levels in the north-west of the state due to a paucity of ground truth data in this area (particularly west of Swan Hill and north of Sea Lake). Users are advised to use this land cover information with discretion and contact the data custodians for further information if required. Land cover classification accuracy varies between classes and the overall classification accuracy may be misleading in terms of the accuracy of an individual class. Users are asked to contact the data custodians for detailed class accuracy information if required for their purposes. The dataset does not replace LandUse100 which is still valid for the time in which it was created (1996 - 2005). A metadata statement, for the VLUIS 2014/15 product, and ESRI symbology files for the data can be freely downloaded from the VLUIS project page on the Victorian Resources Online website: http://vro.agriculture.vic.gov.au/dpi/vro/vrosite.nsf/pages/vluis DOI 10.4226/92/58e72ebae5380
 
Citation proposal Citation proposal
(2019)

Victorian Land Use Information System 2014/2015

Department of Energy, Environment and Climate Action
 

Description

Title
Victorian Land Use Information System 2014/2015 
Alternate title
LANDUSE_2014 
Resource Type
Dataset  
Supplemental Information
Related Documents: None http://vro.depi.vic.gov.au/dpi/vro/vrosite.nsf/pages/luis http://vro.depi.vic.gov.au/dpi/vro/vrosite.nsf/pages/luis 
Status
Completed  
 
 

Temporal

Time period
2014-01-012015-12-31 
 
 

Spatial

Spatial representation type
Vector  
Code
4283 


 

 

Maintenance

Maintenance and update frequency
Annually  
 
 

Format

 
 

Contacts

  Point of contact

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.

Cited responsible party  

No information provided.
 
 

Keywords

Topic category
  • Society
  • Farming
 
 

Resource Constraints

Use limitation
The custodian should be contacted to assess the utility of this dataset for your purpose. 
Classification
Unclassified  
 
 

Lineage

Statement
Dataset Source: The dataset has been created by the Spatial Information Sciences Group of the Department of Economic Development, Jobs, Transport, and Resources, Agriculture Research Division. The method used to create the data is a complete rethink of land use information creation in order to create regular and consistent land use data over time. Three separate data sources have been integrated with the state cadastre to provide land tenure, use and cover information for each parcel. Land Tenure The "Public" land tenure data has been sourced from the Department of Environment, Land, Water and Planning PLM25 dataset (http://services.land.vic.gov.au/catalogue/metadata?anzlicId=ANZVI0803003978&publicId=guest&extractionProviderId=1) and is also derived from the V_Parcel_mp_crown_approved dataset in the corporate spatial data library. Land Use The land use data has been sourced from the Valuer General Victoria. The Landuse Codes and Descriptions for "Public" Land are sourced from the PLM25 database on request from DELWP and have been modified to match the AVPCC (Australian property classification codes). The AVPCC has nine primary categories; 1. Residential, 2. Commercial, 3. Industrial, 4. Extractive Industries, 5. Primary Production, 6. Infrastructure and utilities, 7. Community services, 8. Sport Heritage and Culture and 9. National parks, conservation areas, forest reserves and natural water reserves. Each of the primary categories are divided into numerous secondary and tertiary codes, all of which are reported in the VLUIS dataset. Some tertiary codes include a decimal to represent a sub category however these are not reported in the VLUIS dataset. The full code list can be found at http://www.dtpli.vic.gov.au/property-and-land-titles/valuation/council-valuations/revaluation-2014 Land Cover The land cover information has been created specifically for the VLUIS using time series analysis of satellite imagery. The land cover information has been created using time series analysis of the MOD13Q1 product produced by NASA using data collected by the MODIS sensor and freely available on the Reverb | ECHO website at http://reverb.echo.nasa.gov/reverb/#utf8=%E2%9C%93&spatial_map=satellite&spatial_type=rectangle. Ground data is collected annually across Victoria using a stratified random sampling approach for calibration of the annual seasonal curves and validation of the classification output. Prior to classification, the ground data and the MOD13 data is stratified into regions with similar climate, soils and farming systems using the Primary Production landscapes developed by DEDJTR. For each stratified region a three-tiered hierarchical classification was developed to assign a dominant land cover class to each pixel. Primary Dominant Land Classes: 0 Unknown 1 Water 10 Woody Vegetation 20 Non-woody Vegetation. Secondary Dominant Land Classes: 0 Unknown 1 Water 11 Native Woody Cover 12 Woody Vegetation ¿ Production 21 Pasture and Grassland 22 Non-woody Vegetation ¿ Production Tertiary Dominant Land Classes: 0 Unknown 1 Water 11 Native Woody Cover 121 Deciduous Woody Horticulture 122 Evergreen Woody Horticulture 123 Hardwood Plantation 124 Softwood Plantation 21 Pasture and grassland 221 Brassicas 222 Cereals 223 Legumes 224 Non-woody Horticulture 3 Bare and non-photosynthetic material Dataset Originality: Primary & Derived 
Description
Collection Method: Not Known 
Description
Not Known 
 
 

Metadata Constraints

Classification
Unclassified  
 
 

Quality

Attribute Quality
Comments
Land cover 2014: Overall accuracy for this land cover classification was 66.4%. The accuracy for individual classes may vary and users are asked to refer to the data error matrix for more detailed accuracy information. Land cover 2015: Overall accuracy for this land cover classification was 72.1%. The accuracy for individual classes may vary and users are asked to refer to the data error matrix for more detailed accuracy information. 
Positional Accuracy
Comments
Not Known 
Conceptual Consistency
Comments
Not Known 
Missing Data
Comments
Victoria 
Excess Data
 
 

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