Contacts

Identifiers and Keywords

ANZLIC Id

ANZVI0803005950 

Victorian Spatial Data Library (VSDL) Schema

CATCHMENTS:LANDUSE_2017 

Jurisdiction

Victoria 

Topic category

• Society
• Environment
• Farming

Resource Constraints

Use limitation

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

Classification

Unclassified  

Creative Commons Attribution 4.0 (CC-BY)

• 
• License Text

Other Dataset Details

Date ( Revision )

2018-11-08

Date ( Publication )

2018-11-14T01:15:33

Status

Completed  

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 

Maintenance and update frequency

Biannually  

Maintenance date ( Publication )

2018-11-14T01:15:33

Spatial

Spatial representation type

Vector  

Reference system identifier

4283

Temporal

Begin date

2006-01-01 

End date

2017-12-31 

Quality

Conceptual Consistency

Not Known 

Missing Data

Victoria 

Attribute Quality

. 

Positional Accuracy

Not Known 

Lineage

Description

Not Known 

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 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 anzlicId=ANZVI0803003978 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 

Attributes

Column Name	Obligation	Unique	Data Type	Data Length	Data Precision	Data Scale	Reference Table Owner	Reference Table Name	Reference Table Code Column Name	Short Column Name	Definition
LU_2	O	N	VARCHAR2	2						LU_2
LU_3	O	N	VARCHAR2	3						LU_3
LGA	O	N	VARCHAR2	50						LGA
SOURCE_DATA	O	N	VARCHAR2	50						SOURCEDATA
ALUMV8	O	N	NUMBER	22	5	0				ALUMV8
LC_CODE_16	O	N	VARCHAR2	4						LC_CODE_16
LC_CODE_17	O	N	VARCHAR2	4						LC_CODE_17
LC_DESC_16	O	N	VARCHAR2	150						LC_DESC_16
PROP_PFI	O	N	VARCHAR2	40						PROP_PFI
PARCEL_LGA_CODE	O	N	VARCHAR2	3						PC_LGAC
LU_CODE	O	N	VARCHAR2	6						LU_CODE
IRR_STATUS	O	N	VARCHAR2	10						IRR_STATUS
LU_1	O	N	VARCHAR2	1						LU_1
PARCEL_PFI	O	N	VARCHAR2	10						PARCEL_PFI
LC_DESC_17	O	N	VARCHAR2	150						LC_DESC_17
LU_DESC	O	N	VARCHAR2	150						LU_DESC
LU_CODE_A	O	N	VARCHAR2	8						LU_CODE_A
HECTARES	O	N	NUMBER	22	38	8				HECTARES
TENURE	O	N	VARCHAR2	10						TENURE
SE_ANNO_CAD_DATA	O	N	BLOB	4000						SEANNOCAD
PARCEL_SPI	O	N	VARCHAR2	18						PARCEL_SPI
LU_DESCRIPTION_A	O	N	VARCHAR2	45						LU_DESCR_A
SOURCE_DATE	O	N	DATE	7						SRC_DATE
CMA	O	N	VARCHAR2	150						CMA
PROP_PROPNUM	O	N	VARCHAR2	30						PR_PROPNUM

About the Metadata Record

Metadata identifier

urn:uuid / 0ba63dff-edac-5a95-99af-1cd616a81f76