Metadata Name Descriptions
Resource Name: Victorian Land Use Information System 2016-2017
Title: Victorian Land Use Information System 2016-2017
Anzlic ID: ANZVI0803005950
Custodian: Department of Jobs, Precincts and Regions
Abstract:
The Victorian Land Use Information System (VLUIS) 2016/17 dataset has been created by the Spatial Information Sciences Group of the Agriculture Victoria Research in the Department of Economic Development, Jobs, Transport, and Resources. It covers the entire landmass of Victoria and separately describes the land tenure, land use and land cover across the state at the cadastral parcel level.

The methodology for creating the VLUIS is described in Morse-McNabb et al. (2015) with the following notable changes:
1. Land use data provided by the Office of the Valuer-General of Victoria for the 2014 year has been used as a base input. Readily available sources of land use information from government and industry have been used to provide updates to the land tenure and land use components of the 2016/17 dataset. The source dataset and source date are recorded for each parcel. The land cover mapping method remains unchanged to previous versions of the VLUIS.
2. The Australian Land Use and Management (ALUM) Classification, version 8, has been added to the attribute table. The VLUIS land use code fields have been translated across to the ALUM classification. Version 8 has been used you can find the ALUM Classification on the Department of Agriculture and Water Resources ABARES ALUM page: http://www.agriculture.gov.au/abares/aclump/land-use/alum-classification. 
3. Land parcels within urban areas, mapped in previous versions, have been masked out and have been renamed as Built Up Areas vastly reducing the size of the 2016/17 dataset. Land cover for Built Up Areas (LC_CODE = BUILT) is listed as null.
4. Road reserves and road parcels have been merged together and renamed Voids. Land cover for Voids (LC_CODE = VOID) is listed as null.
5. Parcels <12.5 hectares: land cover has not been attributed as the resolution of MODIS cannot support classifications of polygons smaller than 12.5 hectares.

The data is in the form of an ESRI feature class. 

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 form of an interest in land. Some forms of tenure (such as pastoral leases or nature conservation reserves) relate directly to land use and land management practice. 
Land use means the purpose to which the land cover is committed. Some land uses, such as agriculture, have a characteristic land cover pattern. These usually appear in land cover classifications. Other land uses, such as nature conservation, are not readily discriminated by a characteristic land cover pattern. For example, where the land cover is woodland, land use may be timber production or nature conservation. 
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. Land cover classes can usually be discriminated by characteristic patterns using remote sensing.

A metadata statement, for the VLUIS 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 10.26279/5b96043f7bd02
Search Words: SocietyEnvironmentFarming
Currency Date: 18 May 2022
Dataset Status: Completed
Progress: Victoria
Access Constraint:
The custodian should be contacted to assess the utility of this dataset for your purpose.
Data Existence:
Metadata Name Descriptions
Resource Name: Victorian Land Use Information System 2016-2017
Title: Victorian Land Use Information System 2016-2017
Anzlic ID: ANZVI0803005950
Custodian: Department of Jobs, Precincts and Regions
Owner: Department of Jobs, Precincts and Regions
Jurisdiction: Victoria
Abstract:
The Victorian Land Use Information System (VLUIS) 2016/17 dataset has been created by the Spatial Information Sciences Group of the Agriculture Victoria Research in the Department of Economic Development, Jobs, Transport, and Resources. It covers the entire landmass of Victoria and separately describes the land tenure, land use and land cover across the state at the cadastral parcel level.

The methodology for creating the VLUIS is described in Morse-McNabb et al. (2015) with the following notable changes:
1. Land use data provided by the Office of the Valuer-General of Victoria for the 2014 year has been used as a base input. Readily available sources of land use information from government and industry have been used to provide updates to the land tenure and land use components of the 2016/17 dataset. The source dataset and source date are recorded for each parcel. The land cover mapping method remains unchanged to previous versions of the VLUIS.
2. The Australian Land Use and Management (ALUM) Classification, version 8, has been added to the attribute table. The VLUIS land use code fields have been translated across to the ALUM classification. Version 8 has been used you can find the ALUM Classification on the Department of Agriculture and Water Resources ABARES ALUM page: http://www.agriculture.gov.au/abares/aclump/land-use/alum-classification. 
3. Land parcels within urban areas, mapped in previous versions, have been masked out and have been renamed as Built Up Areas vastly reducing the size of the 2016/17 dataset. Land cover for Built Up Areas (LC_CODE = BUILT) is listed as null.
4. Road reserves and road parcels have been merged together and renamed Voids. Land cover for Voids (LC_CODE = VOID) is listed as null.
5. Parcels <12.5 hectares: land cover has not been attributed as the resolution of MODIS cannot support classifications of polygons smaller than 12.5 hectares.

The data is in the form of an ESRI feature class. 

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 form of an interest in land. Some forms of tenure (such as pastoral leases or nature conservation reserves) relate directly to land use and land management practice. 
Land use means the purpose to which the land cover is committed. Some land uses, such as agriculture, have a characteristic land cover pattern. These usually appear in land cover classifications. Other land uses, such as nature conservation, are not readily discriminated by a characteristic land cover pattern. For example, where the land cover is woodland, land use may be timber production or nature conservation. 
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. Land cover classes can usually be discriminated by characteristic patterns using remote sensing.

A metadata statement, for the VLUIS 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 10.26279/5b96043f7bd02
Search Words: SocietyEnvironmentFarming
Purpose:
                        
Geographic Extent Polygon:
Geographic Bounding Box:
Beginning to Ending Date: 2006-01-01 - 2017-12-31
Maintainence and Update Frequency: Biannually
Stored Data Format:
Available Format(s) Types: Not Known
Lineage:
Dataset Source: The dataset has been created by the Spatial Information Sciences Group of the Department of Economic Development, Jobs, Transport, and Resources, Agriculture Victoria Research. The method used to create the data is a complete rethink of land use information creation to create regular and consistent land use data over time.

Three main 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 created 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 created from the Valuer General Victoria 2014 general revaluation, various datasets from the corporate spatial data library, agricultural industry databases, SunRise21, field survey, aerial photo interpretation and user feedback up to 15th December 2017. Land use is attributed using two classification systems; the Australian Valuation Property Classification Code (AVPCC) that is native to the valuation data and; the Australian Land Use and Management Classification (ALUMC) code, which is the agreed classification code by the Australian Collaborative Land Use and Mapping Program.  Information on the AVPCC can be found at  http://www.dtpli.vic.gov.au/property-and-land-titles/valuation/council-valuations/revaluation-2014 and information on the ALUMC can be found at http://www.agriculture.gov.au/abares/aclump/land-use/alum-classification.

Land Cover

Land cover mapping data is an annual component of the VLUIS. The land cover information has been created specifically for the VLUIS product using time series analysis of the MOD13Q1 or MYD13Q1 products produced by NASA using data collected by the MODIS sensor and freely available on the Reverb | ECHO website. 
Ground data is collected annually across Victoria using a stratified random sampling approach for calibration of classification rule sets based on annual seasonal curves derived from MODIS imagery, and validation of the classification output. Each year, ground data and seasonal parameters calculated using the TIMESAT program are used to generate a rule-based classification, using the See5 data mining program. Each rule used to assign a class to a pixel is given a confidence rating from 0 to 1, with 1 being the most confident. These ratings are generated by the See5 program. Where a rule has a confidence of less than 0.35, the pixel is assigned an unknown classification. This reflects the uncertainty in land cover classification for that pixel in a particular year. Land cover is assigned to each parcel based on the majority land cover classification of pixels within the parcel. Where most pixels have been assigned an 'unknown' classification, the land cover for the parcel will be designated as unknown.
Additional input data, such as hydrological features and public land management (available from data.vic.gov.au) and inter-annual smoothing of the classification are used to minimise misclassification.

The following list details the class name and number used to describe the dominant land cover:
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
Positional Accuracy:
Not Known
Attribute Accuracy:
.
Logical Consistency:
Not Known
Data Source:
Dataset Source: The dataset has been created by the Spatial Information Sciences Group of the Department of Economic Development, Jobs, Transport, and Resources, Agriculture Victoria Research. The method used to create the data is a complete rethink of land use information creation to create regular and consistent land use data over time.

Three main 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 created 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 created from the Valuer General Victoria 2014 general revaluation, various datasets from the corporate spatial data library, agricultural industry databases, SunRise21, field survey, aerial photo interpretation and user feedback up to 15th December 2017. Land use is attributed using two classification systems; the Australian Valuation Property Classification Code (AVPCC) that is native to the valuation data and; the Australian Land Use and Management Classification (ALUMC) code, which is the agreed classification code by the Australian Collaborative Land Use and Mapping Program.  Information on the AVPCC can be found at  http://www.dtpli.vic.gov.au/property-and-land-titles/valuation/council-valuations/revaluation-2014 and information on the ALUMC can be found at http://www.agriculture.gov.au/abares/aclump/land-use/alum-classification.

Land Cover

Land cover mapping data is an annual component of the VLUIS. The land cover information has been created specifically for the VLUIS product using time series analysis of the MOD13Q1 or MYD13Q1 products produced by NASA using data collected by the MODIS sensor and freely available on the Reverb | ECHO website. 
Ground data is collected annually across Victoria using a stratified random sampling approach for calibration of classification rule sets based on annual seasonal curves derived from MODIS imagery, and validation of the classification output. Each year, ground data and seasonal parameters calculated using the TIMESAT program are used to generate a rule-based classification, using the See5 data mining program. Each rule used to assign a class to a pixel is given a confidence rating from 0 to 1, with 1 being the most confident. These ratings are generated by the See5 program. Where a rule has a confidence of less than 0.35, the pixel is assigned an unknown classification. This reflects the uncertainty in land cover classification for that pixel in a particular year. Land cover is assigned to each parcel based on the majority land cover classification of pixels within the parcel. Where most pixels have been assigned an 'unknown' classification, the land cover for the parcel will be designated as unknown.
Additional input data, such as hydrological features and public land management (available from data.vic.gov.au) and inter-annual smoothing of the classification are used to minimise misclassification.

The following list details the class name and number used to describe the dominant land cover:
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
Contact Organisation: Department of Environment, Land, Water & Planning
Contact Position: Senior Reasearch Scientist - Remore Sensing
Address: Vic Australia
Telephone: +61 3 54304313
Facsimile:
Email Address: elizabeth.morse-mcnabb@agriculture.vic.gov.au
Metadata Date: 2018-11-08
Additional Metadata:
                            
                              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
                            
                          
Column Name Obligation Unique Data Type Reference Table Comments
CMA O N VARCHAR2
HECTARES O N NUMBER
LU_2 O N VARCHAR2
LU_CODE_A O N VARCHAR2
PROP_PFI O N VARCHAR2
ALUMV8 O N NUMBER
LC_CODE_17 O N VARCHAR2
LC_DESC_16 O N VARCHAR2
SOURCE_DATA O N VARCHAR2
LC_DESC_17 O N VARCHAR2
PARCEL_LGA_CODE O N VARCHAR2
LU_DESC O N VARCHAR2
PROP_PROPNUM O N VARCHAR2
SOURCE_DATE O N DATE
LU_CODE O N VARCHAR2
IRR_STATUS O N VARCHAR2
LU_3 O N VARCHAR2
LC_CODE_16 O N VARCHAR2
LU_1 O N VARCHAR2
PARCEL_SPI O N VARCHAR2
LGA O N VARCHAR2
LU_DESCRIPTION_A O N VARCHAR2
PARCEL_PFI O N VARCHAR2
TENURE O N VARCHAR2
SE_ANNO_CAD_DATA O N BLOB