This dataset contains polygon features representing land use zones (such as residential, industrial or rural) for all Victorian planning schemes. This layer is attributed with: scheme code, zone number, zone status, zone code, LGA name, LGA code.

Vicmap Planning is the map data representing the land use zone and overlay controls for all Victorian planning schemes. Planning schemes cover the 79 local government areas and three other areas in Victoria. Planning schemes are regularly amended, and Vicmap Planning is continually updated to reflect the official planning scheme at any time.

Datasets in the series are listed below. See them for more detailed metadata. - Planning scheme zones - Vicmap Planning (VMPLAN_PLAN_ZONE); - Planning scheme overlay - Vicmap Planning (VMPLAN_PLAN_OVERLAY); - Planning scheme Urban Growth Boundary - Vicmap Planning (VMPLAN_PLAN_UGB); - Planning scheme Urban Growth Area - Vicmap Planning (VMPLAN_PLAN_UGA); - Planning scheme codelist - Vicmap Planning (VMPLAN_PLAN_CODELIST) Current data model is Version 3.0.1

This dataset contains polygon features representing overlay controls for all Victorian planning schemes. Overlays reflect specific characteristics of land in an area, such as areas of significant vegetation or heritage value.This layer is attributed with: scheme code, zone number, zone status, zone code, LGA name, LGA code

This dataset contains polygon features representing overlay controls for all Victorian planning schemes. Overlays reflect specific characteristics of land in an area, such as areas of significant vegetation or heritage value.This layer is attributed with: scheme code, zone number, zone status, zone code, LGA name, LGA code

This dataset presents the footprint of line features representing the Urban Growth Boundary (UGB) which indicates the long-term limits of urban development in metropolitan Melbourne. The UGB is a …Show full descriptionThis dataset presents the footprint of line features representing the Urban Growth Boundary (UGB) which indicates the long-term limits of urban development in metropolitan Melbourne. The UGB is a boundary that indicates the long-term limits of urban development in metropolitan Melbourne. It only affects 17 Local Government Areas (LGAs) within the Melbourne metropolitan area. Vicmap is the foundation that underlies most spatial information in Victoria. This portfolio of spatial related authoritative data products, made up from individual datasets, is developed and managed by the Department of Environment, Land, Water & Planning (DELWP). Vicmap Planning is a series of state-wide datasets that representing the land use zone and overlay controls for all Victorian planning schemes as well as the Urban Growth Boundary (UGB), which is a boundary that indicates the long-term limits of urban development in metropolitan Melbourne. For more information, please visit: Victorian Government Data Portal. Metadata Statement. Please note: This dataset is classified as 'BB' accuracy, i.e. 90% of well-defined features are within 1mm, at plot scale, of their true position, eg. 1:500 equates to +/- 0.5metre and 1:25,000 equates to +/- 25 metres. It is recommended that Vicmap Planning is to be used in conjunction with Vicmap Property, as zone boundaries generally align to property boundaries. Copyright attribution: Government of Victoria - Department of Environment, Land, Water and Planning, (2019): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 4.0 International (CC BY 4.0)

This dataset presents the footprint of polygon features that represent overlay controls for all Victorian Planning Schemes. Overlays reflect specific characteristics of the land in an area, such as …Show full descriptionThis dataset presents the footprint of polygon features that represent overlay controls for all Victorian Planning Schemes. Overlays reflect specific characteristics of the land in an area, such as areas of significant vegetation or heritage value. Vicmap is the foundation that underlies most spatial information in Victoria. This portfolio of spatial related authoritative data products, made up from individual datasets, is developed and managed by the Department of Environment, Land, Water & Planning (DELWP). Vicmap Planning is a series of state-wide datasets that representing the land use zone and overlay controls for all Victorian planning schemes as well as the Urban Growth Boundary (UGB), which is a boundary that indicates the long-term limits of urban development in metropolitan Melbourne. For more information, please visit: Victorian Government Data Portal. Metadata Statement. Please note: This dataset is limited to 15,000 features due to the feature extraction limits of the Data.Vic WFS. This dataset is classified as 'BB' accuracy, i.e. 90% of well-defined features are within 1mm, at plot scale, of their true position, e.g. 1:500 equates to +/- 0.5metre and 1:25,000 equates to +/- 25 metres. It is recommended that Vicmap Planning is to be used in conjunction with Vicmap Property, as zone boundaries generally align to property boundaries. Copyright attribution: Government of Victoria - Department of Environment, Land, Water and Planning, (2019): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 4.0 International (CC BY 4.0)

Each PSP describes the planned land uses for new development in specific parts of Melbourne’s Growth Areas. The official Future Urban Structure (FUS) plan for any individual area is contained in the approved PSP documents incorporated into the relevant municipal planning schemes for that area. The Victorian Planning Authority’s (VPA’s) FUS LandUse data has been generated by amalgamating individual PSP data. Various PSPs have been generated over many years and by different organisations and processes. This FUS data is therefore a simplified combination of data that originally comprised different formats and structures. The VPA’s FUS LandUse data has no official status and is provided solely to assist in land use planning in areas within or adjacent to areas with completed PSP, and should be treated as having been provided for general information purposes only. The VPA aims to update data shortly after the gazettal of a completed PSP. The FUS LandUse layer contains only data for Approved and Gazetted PSPs. The full data description and metadata can be found here - http://vpa.vic.gov.au/wp-content/uploads/2016/08/VPA-Greenfields-PSP-Spatial-Data-Metadata.pdf

Identifies all industrial land and the development status and size of each land parcel in hectares.

Note: The industrial data now covers all of the State of Victoria having incorporated RDV's Audit of Industrial Land in Provincial Victoria with UDP Melbourne . Regional UDP work will provide the mechanism to update these areas on an ongoing basis.

This information maps all industrial zoned land and land of industrial nature, ie. includes land within Special use zones, Airport Business Park, Business 3 Zones and Comprehensive Development Zone. Other zone types have been included in regional areas.

Each land parcel is assessed as being either Unavaillable or Supply for industrial land and colour coded by a combination of zoning ans availability.

Assessment Values data consists of a Land Value (lot value) and Improvement Value (value of structures built on those lots). The Total Value is the sum of the Land and Improvement Value (total value of land plus structures built on it). The assessment values are for the current year.The data are broken down by property type (Residential, Business, Industrial, and Recreational - determined from BC Assessment's Actual Use Code) with Minimum/Maximum/Mean/Average values in each category by 2016 census dissemination area (DA).The "Last Updated" date shown on our Open Data Portal refers to the last time the data schema was modified in the portal, or any changes were made to this description. We update our data through scripts which does not trigger the "last updated" date to change.Note: Attributes represent each field in a dataset, and some fields will contain information such as ID numbers. As a result some visualizations on the tabs on our Open Data page will not be relevant.

These contiguous suitable area data are based on the land suitability data from the Victoria River Water Resource Assessment in the NT (VIWRA). To address operational farming constraints imposed by parcels of suitable land being too small or oddly shaped according to natural variability of land, or physical limits on suitable farming land parcel sizes, contiguous suitable area data was generated. This contiguous suitable area data is based on crop-specific minimum areas and minimum length/width of contiguous suitable land and is produced as standalone data products for all crop groups. The rules are provided for download. The data was generated to remove the component of landscape complexity that natural distributions of soil and land variability and specific crop requirements produce. This data provides improved land evaluation information to identify opportunities and promote detailed investigation for a range of sustainable development options. The land suitability evaluation methods used to produce the underlying data are a modification of the Food and Agriculture Organisation (FAO) land evaluation approach. The land suitability analysis is described in full in the CSIRO VIWRA published report ‘Soils and land suitability for the Victoria catchment, Northern Territory’. A technical report from the CSIRO Victoria River Water Resource Assessment to the Government of Australia. The naming convention for these data is; ‘crop group’ underscore ‘major crop’ underscore ‘season code’ underscore ‘irrigation type code’ underscore ‘catchment code’ underscore ‘data type’ eg ‘CG7_CottonGrains_D_Fw_V_ContigArea’ is Cotton and grain crops grown in the dry season with furrow irrigation in the Victoria catchment contiguous suitable area data. The codes for season are; W – wet season; D – dry season; P – perennial. The codes for irrigation type are; S – overhead spray irrigation; T – trickle irrigation; Fd – flood irrigation; Fw – furrow irrigation; R – rainfed. It is important to emphasize that this is a regional-scale assessment: further data collection and detailed soil physical, chemical and nutrient analyses would be required to plan development at a scheme, enterprise or property scale. Several limitations that may have a bearing on land suitability were out of scope and not assessed as part of this activity (refer to the report), these limitations include biophysical and socio-cultural. For example these land suitability raster datasets do not include consideration of the licensing of water, flood risk, contiguous land, risk of irrigation induced secondary salinity, or land tenure and other legislative controls. Some of these may be addressed elsewhere in VIWRA eg flooding was investigated by the Earth observation remote sensing group in the surface water activity. The Victoria River Water Resource Assessment provides a comprehensive overview and integrated evaluation of the feasibility of aquaculture and agriculture development in the Victoria catchment NT as well as the ecological, social and cultural (indigenous water values, rights and aspirations) impacts of development. Lineage: These contiguous suitable area raster datasets have been generated from a range of inputs and processing steps. Following is an overview. For more information refer to the CSIRO VIWRA published report ' Soils and land suitability for the Victoria catchment, Northern Territory’. A technical report from the CSIRO Victoria River Water Resource Assessment to the Government of Australia. 1. Collated existing data (relating to: soils, climate, topography, natural resources, remotely sensed, of various formats: reports, spatial vector, spatial raster etc). 2. Selection of additional soil and land attribute site data locations by a conditioned Latin hypercube statistical sampling method applied across the covariate data space. 3. Fieldwork was carried out to collect new attribute data, soil samples for analysis and build an understanding of geomorphology and landscape processes. 4. Database analysis was performed to extract the data to specific selection criteria required for the attribute to be modelled. 5. The R statistical programming environment was used for the attribute computing. Models were built from selected input data and covariate data using predictive learning from a Random Forest approach implemented in the ranger R package. 6. Create Digital Soil Mapping (DSM) attribute raster datasets. DSM data is a geo-referenced dataset, generated from field observations and laboratory data, coupled with environmental covariate data through quantitative relationships. It applies pedometrics - the use of mathematical and statistical models that combine information from soil observations with information contained in correlated environmental variables, remote sensing images and some geophysical measurements. 7. Land management options were chosen and suitability rules created for DSM attributes. 8. Suitability rules were run to produce limitation subclass datasets using a modification on the FAO methods. 9. Final suitability data created for all land management options. 10. Companion predicted reliability data was produced from the 500 individual Random Forest attribute models created. 11. QA Quality assessment of these land suitability data was conducted by two methods. Method 1: Statistical (quantitative) assessment of the "reliability" of the spatial output data presented as a raster of the Confusion Index. Method 2: Collecting independent external validation site data combined with on-ground expert (qualitative) examination of outputs during validation field trips. A two-week validation field trip was conducted using a new validation site set which was produced by a random sampling design based on conditioned Latin Hypercube sampling. The modelled land suitability value was assessed against the actual on-ground value. These results are published in the report referenced above. 12. A two-step process was developed to simplify the data and was applied across the suitability data of the catchments. First the five suitability classes were aggregated to two: ‘suitable’ for suitability classes 1, 2 and 3, or ‘not suitable’ for class 4 and 5. Second, to further simplify the data, and to reflect the on-ground spatial constraints of farming practices, isolated one or two pixels of ‘not suitable’ contained in larger ‘suitable’ areas were reclassified as ‘suitable’. 13. For each crop group, a minimum area and width were defined based on knowledge of farming practices. Depending on the possible land use, minimum areas were deemed as 2.5 ha, 5 ha, 10 ha or 25 ha and minimum widths of 80 m or 120 m (rules are provided for download). 14. For each crop rule the minimum width was imposed by removing those parts of the suitable area that are narrower (in any direction) than the required minimum width. The remaining groups of connected cells were then tested to see if they meet the required minimum area and removed if they did not.

VicPlan allows you to find a property or parcel, generate a planning property report, and view zones and overlays anywhere in Victoria.\r \r VicPlan is a state wide map viewer for location based planning scheme information. You can use it to locate any property or parcel in Victoria using the address/parcel search, or by browsing on the map. You can also access direct links to the planning rules for a site in the planning scheme.\r \r From VicPlan you can create a Planning property or parcel report with localised maps showing the zone and overlays. You can also access VicPlan via the maps in planning schemes.\r \r Zone and overlay spatial data is updated weekly.\r

Dataset clipped to Casey LGA. This dataset contains polygon features representing overlay controls for all Victorian planning schemes. Overlays reflect specific characteristics of land in an area, such as areas of heritage value.This layer is attributed with: scheme code, zone number, zone status, zone code, LGA name, LGA code

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 …Show full descriptionThe 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: 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. 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. 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. Road reserves and road parcels have been merged together and renamed Voids. Land cover for Voids (LC_CODE = VOID) is listed as null. 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

"Cadastral Area Boundary is a line layer belonging to Vicmap Property and consists of data representing Victoria's land parcels and properties and is used extensively in Geographic Information Systems (GIS) by the public and private sectors. More Information: https://www.data.vic.gov.au/data/dataset/cadastral-area-boundary-vicmap-property Author: Department of Environment and Primary Industries Owner: Department of Environment and Primary Industries"

The National Conservation Lands Database contains data on the location and nature of private lands protected and/or managed for conservation purposes in Australia. This data set was created as part of a collaborative project between the data contributors and the Australian Government. The project was governed by a Steering Committee with representatives from five of the nine data contributors listed below. These acronyms are used in the remainder of the data. The program that contributed the data is described in the Completeness section of the metadata.DEC: Western Australian Department of Environment and Conservation DECCW: New South Wales Department of Environment, Climate Change and WaterDEH: South Australia Department of Environment and Heritage - now the Department of Climate Change, Energy, the Environment and Water and Natural ResourcesDERM: Queensland Department of Environment and Resource ManagementDPIPWE: Tasmania Department of Primary Industries, Parks, Water and EnvironmentNCT: New South Wales Nature Conservation Trusts Covenanting program NRETAS: Northern Territory Department of Natural Resources, Environment, the Arts and Sport Covenanting ProgramNTA WA: The National Trust of Australia (WA) TFN: Trust For Nature (Victoria) This 2009 (first) version of the database includes the majority of high security mechanisms operating on private land in Australia, where conservation is the sole or key objective. The data set contains all agreements from the inception of the program through which they were delivered to (and including) those established on the 30 June 2009. The department intends to annually update the database.The database contains:- an NCLD_DESC table - that contains descriptions of each agreement- an NCLD_POLY feature class - that contains all the agreement polygons- a NCLD_LABEL layer - that contains one point for each agreement that fits within an agreement polygon- a NCLD_OVERLAP_POLY feature class -that contains all agreement polygons that overlapped higher level agreement polygons. This is explained below.The polygons in this data set represent the land subject to private land conservation agreements. Each agreement is uniquely identified by AGREMT_ID. There are two polygon layers associated with the database. The principle layer is called the NCLD_POLY feature class and contains polygons of the location of the agreements. Where there are overlapping agreements, the most secure agreement is represented in the polygon layer and those agreements that were of lower security and overlapped, have been removed from the agreement polygon layer and stored in the NCLD_OVERLAP_POLY feature class. The NCLD_POLY feature class and the NCLD_OVERLAP_POLY feature class attribute table that the AGREMT_ID and few other fields. The descriptive details of each agreement are stored in the NCLD_DESC table including the GIS_AREA for the convenience of calculating statistics. This text table can be linked to the polygon layers for GIS analysis. The attributes of the NCLD_DESC table are described in the Attribute Accuracy section of this metadata. Many of the attributes are the same as those used in the Collaborative Australian Protected Area Database .In order to facilitate topology checking and analysis the NCLD_POLY feature class does not contain overlapping polygons. Overlapping agreements do occur in practice, where there is more than one agreement legally still in place at a time. To capture this information the polygon data has been processed to represent the highest security agreement at any one location in the agreements polygon layer. Agreements that are completely displaced by a higher security agreement have the value in the OVERLAP field in the text table, a GIS_AREA of 0 (zero) and the entire polygon represented only in the NCLD_OVERLAP_POLY feature class. Agreements that are only partially displaced have the displaced portion of the polygon(s) in the NCLD_OVERLAP_POLY feature class. In the agreements text table the partially displaced agreements will have the reduced value in the OVERLAP field and a GIS_AREA is the area of the remaining polygon in the NCLD_POLY feature class.All the overlaps in this version of the database occurred within the DECCW agreements. A hierarchy of highest to lower level agreements was decided in collaboration with DECCW. TYPE = Conservation Agreements were agreed to have the highest protection value, being in perpetuity, registered on title and as the agreement contains a broader range of conservation measures. TYPE = Registered property agreements were ranked the middle security level as these were registered on title and the agreements had more restricted conservation scope. The lowest level agreements were considered to be TYPE = Wildlife Refuge, as these were not registered on title and of an indefinite term and contained the lowest level of restrictions on activities and conservation measures that had to be adopted as part of the agreement compared to the other two types.The way that agreements were mapped differed between authorities and agreement types. Some types only mapped the high conservation value portion of a land parcel whereas others mapped the entire title or property or nearly the whole title and subdivided into zones with one a conservation or protected zone. For example a WA Department of Environment and Conservation Covenant does not have any zones and only covers the conservation or protected area. In contrast, a Trust for Nature Victoria Conservation Covenant is subdivided into three zones; Modified Land, Domestic Area and Protected Area.Programs that map only the high conservation value portion of a land parcel are those that have AUTHORITY of DEC, NCT, DEH, DPIPWE (most agreements) and DECCW (where TYPE is Conservation Agreement or Registered Property Agreement). In the case of AUTHORITY = NTA WA AND TYPE = National Trust Covenants the entire property is mapped and subdivided into farmland and bushland zones. In the case AUTHORITY = DECCW AND TYPE = Wildlife Refuge , the whole title was mapped (the high conservation value area is delineated on a map filed with the agreement -but not mapped in their spatial database). DERM and VIC TFN map either the entire property or part of the property and use zones to differentiate between the conservation area and areas where less restricted activity can take place. Examples of DERM Nature Refuge zone types are conservation, domestic, infrastructure, agriculture, restoration. A few DPIPWE Conservation Covenants contain zones. This data set only maps the area of the whole agreement, and does not delineate zones. Therefore although the area of the conservation part of the agreement could be the same between a DEC agreement and a NTA WA agreement, the GIS_AREA will be higher for the NTA WA agreement that also includes farmland. GIS_AREA will be higher for programs that map a larger area in addition to the high conservation value area.NOTE: This item refers to a dataset with restricted access. The related metadata is available for download as a Word document as necessary. Additional information about this dataset or requests for access to the data should be directed to geospatial@dcceew.gov.au

Cadastral Area Boundary is a line layer belonging to Vicmap Property and consists of data representing Victoria's land parcels and properties and is used extensively in Geographic Information Systems (GIS) by the public and private sectors.

This layer should be used in conjuction with the other layers and aspatial tables that make up Vicmap Property.

The 2019/2020 bushfire season in Australia had damaged over 874 thousand hectares of forest or plantation land across Victoria as of March 9, 2020. Additionally, at least 163 thousand hectares of agricultural land had been damaged as a result of the fires in that state.

This land resource polygon dataset was mapped at a survey scale of 1:100 000 and includes a description of the landforms, soils and vegetation for 237 land units. The surveyed area of 74 502km2 is located 700km south west of Darwin and covers 23 major land holdings in the Victoria River District, (VRD) Northern Territory. The objectives of the project were to map, describe and evaluate the pastoral lands of the VRD and provide this information to land managers, industry, government and other relevant stakeholders.

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

Abstract The Catchment Scale Land Use of Australia – Update December 2023 dataset is the national compilation of catchment scale land use data available for Australia (CLUM), as of December 2023. It replaces the Catchment Scale Land Use of Australia – Update December 2020. It is a seamless raster dataset that combines land use data for all state and territory jurisdictions, compiled at a resolution of 50 metres by 50 metres. The CLUM data shows a single dominant land use for a given area, based on the primary management objective of the land manager (as identified by state and territory agencies). Land use is classified according to the Australian Land Use and Management Classification version 8. It has been compiled from vector land use datasets collected as part of state and territory mapping programs and other authoritative sources, through the Australian Collaborative Land Use and Management Program. Catchment scale land use data was produced by combining land tenure and other types of land use information including, fine-scale satellite data, ancillary datasets, and information collected in the field. The date of mapping (2008 to 2023) and scale of mapping (1:5,000 to 1:250,000) vary, reflecting the source data, capture date and scale. Date and scale of mapping are provided in supporting datasets.

Currency Date modified: December 2023 Publication Date: June 2024 Modification frequency: As needed (approximately annual) Data Extent Coordinate reference: WGS84 / Mercator Auxiliary Sphere Spatial Extent North: -9.995 South: -44.005 East: 154.004 West: 112.505 Source information Data, Metadata, Maps and Interactive views are available from Catchment Scale Land Use of Australia - Update 2023 Catchment Scale Land Use of Australia - Update 2023 – Descriptive metadata The data was obtained from Department of Agriculture, Fisheries and Forestry - Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES). ABARES is providing this data to the public under a Creative Commons Attribution 4.0 license. Lineage statement This catchment scale land use dataset provides the latest compilation of land use mapping information for Australia’s regions as at December 2023. It is used by the Department of Agriculture, Fisheries and Forestry, state agencies and regional natural resource management groups to address issues such as agricultural productivity and sustainability, biodiversity conservation, biosecurity, land use planning, natural disaster management and natural resource monitoring and investment. The data vary in date of mapping (2008 to 2023) and scale (1:5,000 to 1:250,000). 2023 updates include more current data and/or reclassification of existing data. The following areas have updated data since the December 2020 version:

New South Wales (2017 v1.5 from v1.2). Northern Territory (2022 from 2020). Tasmania (2021 from 2019). Victoria (2021 from 2017). Data were also added from the Great Barrier Reef Natural Resource Management (NRM) regions in Queensland (2021 from a variety of dates 2009 to 2017). the Australian Tree Crops. Australian Protected Cropping Structures and Queensland Soybean Crops maps as downloaded on 30 November 2023. The capital city of Adelaide was updated using 2021 mesh block information from the Australian Bureau of Statistics. Minor reclassifications were made for Western Australia and mining area within mining tenements more accurately delineated in South Australia.

Links to land use mapping datasets and metadata are available at the ACLUMP data download page at agriculture.gov.au. State and territory vector catchment scale land use data were produced by combining land tenure and other types of land use information, fine-scale satellite data and information collected in the field, as outlined in 'Guidelines for land use mapping in Australia: principles, procedures and definitions, 4th edition' (ABARES 2011). The Northern Territory, Queensland, South Australia, Tasmania, Victoria and Western Australia were mapped to version 8 of the ALUM classification (‘The Australian Land Use and Management Classification Version 8’, ABARES 2016). The Australian Capital Territory was mapped to version 7 of the ALUM classification and converted to version 8 using a look-up table based on Appendix 1 of ABARES (2016). Purpose for which the material was obtained: This catchment scale land use dataset provides the latest compilation of land use mapping information for Australia’s regions as at December 2023. It is used by the Department of Agriculture, Fisheries and Forestry, state agencies and regional natural resource management groups to address issues such as agricultural productivity and sustainability, biodiversity conservation, biosecurity, land use planning, natural disaster management and natural resource monitoring and investment. The data vary in date of mapping (2008 to 2023) and scale (1:5,000 to 1:250,000). Do not use this data to:

Derive national statistics. The Land use of Australia data series should be used for this purpose. Calculate land use change. The Land use of Australia data series should be used for this purpose.

It is not possible to calculate land use change statistics between annual CLUM national compilations as not all regions are updated each year; land use mapping methodologies, precision, accuracy and source data and satellite imagery have improved over the years; and the land use classification has changed over time. It is only possible to calculate change when earlier land use datasets have been revised and corrected to ensure that changes detected are real change and not an artefact of the mapping process. Note: The Digital Atlas of Australia downloaded and created a copy of the source data in October 2024 that was suitable to be hosted through ArcGIS Image Server & Image Dedicated. A copy of the raster was created with RGB fields as a colour map with Geoprocessing tools in ArcPro. Note: The Digital Atlas of Australia downloaded and created a copy of the source data in February 2025 that was suitable to be hosted through ArcGIS Image Server & Image Dedicated. A copy of the raster dataset was created with RGB fields as a colour map with Geoprocessing tools in ArcPro, and the raster dataset was re-projected from 1994 Australia Albers to WGS 1984 Web Mercator (Auxiliary Sphere). Data dictionary

Field name DField description Code values

OID Internal feature number that uniquely identifies each row Integer

Service Pixel value (Date) The year for which land use was mapped in the vector data provided by state and territory agencies or others, Date Range: 2008 to 2023 Integer

Count Count of the number of raster cells in each class of VALUE Integer

Label Reflecting the Date of the source data ranges from 2008 to 2023 Text

Contact Department of Agriculture, Fisheries and Forestry (ABARES), info.ABARES@aff.gov.au