The original dataset has been clipped to suit its use in the context of Victoria and adjoining areas. It is used for the generation of Vicmap Topographic 1;100 000 and for land channel interactive map search. Vicmap Topographic 1:100 000 topographic maps are available internally as GeoPDFs at http://services.land.vic.gov.au:8080/dseintranet/dsetopomaps.jsp

The land cover mapping of Victoria, Australia, for 2021/22 was conducted using Sentinel-2 satellite imagery and the random forest machine learning algorithm. This map represents the entire Victoria at a spatial resolution of 20 meters, considerably improving earlier versions that previously were developed using coarser-resolution MODIS imagery. The map follows the FAO Land Cover Classification System to maintain consistency and accuracy in defining land cover types. Sentinel-2 data from April 2020 to March 2021 have been collected to capture seasonal variation relevant to a wide range of applications, from agricultural management to environmental monitoring, including climate change modelling. The data collection was done based on the usage of Sentinel-2 Level-1C orthorectified reflectance data that were further processed with the intention of deriving temporal aggregates of both spectral bands and vegetation indices. These pre-processed data then formed the basis of training a random forest classifier, calibrated with a blend of field data and desktop-derived samples from trustworthy sources. The land cover map has been rigorously validated, achieving an overall accuracy of 86%. This dataset could serve as a base tool in policy formulation, research, and land management applications to enable informed decisions on agricultural policy-making, climate resilience initiatives, and sustainable land use practices.

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

For more information about VicMap Crown Land Tenure dataset, please visit: Vicmap Crown Land TenureThis feature service is generated from VicMap's open data service; Vicmap maintains and updates the dataset. To view the original data please visit: Vicmap Crown Land Tenure - Overview (arcgis.com)

For more information about VicMap Crown Land Tenure dataset, please visit: Vicmap Crown Land TenureThis feature service is generated from VicMap's open data service; Vicmap maintains and updates the dataset. To view the original data please visit: Vicmap Crown Land Tenure - Overview (arcgis.com)

This details the boundaries of all properties within the City of Melbourne. A boundary is described as a division between adjacent political entities, tracts of private land, or geographic zones. Boundary lines may be imaginary lines, physical features that follow those lines, or the graphical representation of those lines on a map. Boundary lines between privately owned land parcels are usually called property lines.

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.

This data is now obsolete, current UDP data is available.

Identifies undeveloped land for residential development generally on the fringe of the metropolitan area. Each record in the database details the anticipated development timing, the area of the site in hectares and the potential lot yield. Other details are also records against each site.

This information maps land areas for both the supply and recent development categories they are; Supply area categoties >> 1-2years, 3-5years, 6-10years, 11+years, UGZ (PSP required) and Potential Residential Recently developed categories >> Developed land for years 2013, 2014 & land under construction.

In addition to the development status categories, two other attributes describe whether the land is currently zoned residential and/or is low density.

QMAP 22 Southern Victoria Land. - Cross section, pencil and ink on transparency, medium detail, in good condition. - Observation Measure: mainly interpretation. - Cross section size: 840 x 250 mm. Notes: Surface of cross section generated from QMAP SVL geol_units polygon data and DEM (cell size 10 m). This cross section was originally labelled BB', but appeared on the published map as A-A'. This cross section is very large and has been drawn in several parts, this is part 4 of 5. - Coordinates give rough placement only. Keywords: SOUTHERN VICTORIA LAND; SVL; GEOLOGIC MAPS; QMAP; CROSS SECTIONS

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 Date Published: 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

Attribute name Description

OID Internal feature number that uniquely identifies each row.

Service Pixel value (Scale) The scale at which land use was mapped in the vector catchment scale land use data provided by state and territory agencies or others:1:5,000, 1:10,000, 1:20,000, 1:25,000, 1:50,000, 1:100,000 or 1:250,000

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

Label Reflecting the scale of the source data ranges from 1:5,000 to 1:250,000

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

Proposed Parcel Map Polygons is a polygon layer belonging to Vicmap Property Simplified 2, a modified and simplified model of Vicmap Property, specifically generated for Local Government use.. It consists of polygons representing Victoria's land parcels. This layer should be used in conjuction with the other layers and aspatial tables that make up Vicmap Property Simplified 2, see metadata for Vicmap Property and Vicmap Property Simplified 2.

Vicmap Property Simplified 2 Content includes · Parcel and Property Polygons; · Parcel and Property Identifiers - parcel descriptors (including Standard Parcel Identifiers (SPI)), Council reference numbers; · Registered and proposed; · Crown and Freehold land differentiation; · Cadastral Road Casements; · Easements (Note: all new easements are being captured for the whole State. Previously, only easements in the metropolitan area were captured. There is no current program to review and capture missing easements); · Unique Feature Identifiers, date stamps and data quality information.

The Victorian Coastal Inundation Dataset (the product) is a digital dataset consisting of eight spatial layers modelling the extent of land subject to coastal inundation due to projected sea level rise from 2009 to 2100. This product is recommended for use at a scale of approximately 1:75,000 or less detail to reflect the limitations in the modelling and the recommended catchment to regional scale of inundation assessments with this product. The product is NOT suitable for assessments of potential risks at property level.

The datasets available are: Sea Level Rise: - SLR00CM_2009 - Current (2009) sea level
- SLR20CM_2040 - Projected 20cm sea level rise by 2040
- SLR47CM_2070 - Projected 47cm sea level rise by 2070
- SLR82CM_2100 - Projected 82cm sea level rise by 2100

Storm tide (1-in-100 year) with added wind forcing plus sea level rise - SLR00CM_ST_2009 - Current (2009) inundation to 1-in-100 year storm tide level - SLR20CM_ST_2040 - Inundation to 1-in-100 year storm tide level with storm surge increased by 6% plus 20 cm sea level rise - SLR47CM_ST_2070 - Inundation to 1-in-100 year storm tide level with storm surge increased by 13% plus 47 cm sea level rise - SLR82CM_ST_2100 - Inundation to 1-in-100 year storm tide level with storm surge increased by 19% plus 82 cm sea level rise

Interactive Map:- http://mapshare.maps.vic.gov.au/gvh270hydra/

Future Coasts (Modelled)

This data has been computed to support the Victorian Governments Future Coasts Project.

A polygonal map of wind erosion susceptibility in the Victorian Mallee. The dataset was created by assigning relative susceptibility classes to landform component data mapped during the …Show full descriptionA polygonal map of wind erosion susceptibility in the Victorian Mallee. The dataset was created by assigning relative susceptibility classes to landform component data mapped during the disaggregation of land systems project (refer to separate metadata entry). The classifications represent the inherent susceptibility of the component to wind erosion based on its exposure to erosive winds and its 'likely' soil texture grade. In some instances a landform component has been split into facets in order to assign varying classes of susceptibility across the component. The project was sponsored by the Mallee Catchment Management Authority with funding from the Federal government's Caring for our Country initiative. The final project report, "Mallee wind erosion susceptibility mapping" together with the "Disaggregation of landform components within land systems of the Mallee", and the Rowan and Downes (1963) report , "A study of the land of north-western Victoria", should be referred to when analysing or utilising this dataset. Regional Map Units (RMUs) in the Mallee developed during the land system disaggregation project and refined in this project have been ranked for their overall wind erosion susceptibility. These units and the finer-scale grid data can be used to make spatially strategic decisions for investment in research, monitoring, protection and management relating to wind erosion in the region.

Map Index boundaries for 1:25 000 map scale. Vicmap Topographic 1:25 000 Geo PDFs are available at http://services.land.vic.gov.au/maps/imf/search/Topo30Front.jsp

Address points for every legal address in the City of Victoria, located at parcel centroids. Address data is drawn from our Tempest Land Records database and merged with the centroid points from our GIS parcels based on a matching ID to add a spatial location. Data are copied to the Open Data Portal daily.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.

A spatial map layer of soil type (Australian Soil Classification) for Victoria. The harmonised map consists of 3,300 land units (totaling about 225,000 polygons) derived from around 100 soil and land surveys carried out in Victoria over the past 70 years. The land units have been attributed according to the Australian Soil Classification (Order and Suborder levels of the classification scheme) based on their likely dominant soil type. Particular attention was given to harmonising land units across survey boundaries. A reliability index has been assigned to each land unit based on the quality and relevance of the originating survey, providing a qualitative reliability measure to support interpretation and data use.

Soil site data contained in the Victorian Soil Information System (VSIS), and information on the Victorian Resources Online (VRO) website and original study reports have been combined with landscape knowledge to develop the new maps. Data from approximately 10,000 existing sites recorded, mostly recorded in the VSIS have been used.

The soil type is based on land mapping conducted at different times, at variable scale, and for different purposes. Land units are therefore of variable scale and quality in relation to the soil they are representing. Many units will be comprised of multiple soil types and a range of soil properties, and local variability (e.g. at paddock scale level) can also sometimes be high. The mapping, therefore, is intended to represent the dominant, or most prevalent, broad soil type within the map unit. It is therefore adequate for regional or state-wide overviews but may not often be accurate enough for localised or within-farm assessments. For more detailed soil and land information, users are advised to refer to the original land study for any given map unit (e.g. via Victorian Resources Online website).

Soil acidity is a natural process that can be exacerbated in farming systems. Current knowledge and data on the extent and severity of acidic soils in south-western Victoria is limited. This makes inferences on the impacts to production across the region difficult. Furthermore, improved mapping is required in order to define the opportunities to address soil acidity in southern Victoria and increase production potential. The availability of soil site data managed in the Victorian Soil Information System (VSIS) and spatially exhaustive ancillary datasets (i.e. environmental covariate map data such as elevation, rainfall and gamma radiometrics) support the application of predictive modelling techniques to produce soil pH maps at finer scales and qualities previously unattainable.

The digital soil maps of soil pH for the South West region of Victoria have been produced by modelling the spatial relationships between points (soil sites) of measured or estimated soil pH and their environment (defined by a comprehensive set of covariates). A 10-fold cross validation procedure was used to produce average predictions for the upper, lower and mean values. The mapping provides predictions of soil pH at 50 m pixel resolution for six set depths from the surface down to two metres. The six set depths have been chosen to align to the Global Soil Map specifications, www.globalsoilmap.net.

In total, data from 3,668 sites were identified for application in spatial models across south-western Victoria. This data has been sourced from land studies dating back to the 1950s and the 670 samples collected by this project are now accessible as part of this larger dataset. Spatial covariate datasets using in modelling includes climate (e.g. annual rainfall, evaporation, Prescott index), landscape (e.g. clay mineral maps), organisms (e.g. MODIS time series, LANDSAT scenes), relief (e.g. elevation, slope, topographic wetness index) and parent material (e.g. terrain weathering index). In total, 71 covariate raster datasets have been used in generating soil pH maps.

The maps are for soil pH measured in a 1:5 soil-to-water suspension (pHw) with possible addition of a salt solution (typically Calcium chloride, CaCl2). The raster datasets (maps) include a mean, lower and upper uncertainty prediction for each depth interval.

This is a spatial layer that can be used to map CLUE datasets to CLUE blocks. CLUE blocks are a geographical boundary that can be linked to CLUE information.

This dataset previously contained information of 2016 establishments, employment and floor space which can now be found in the following datasets:

• Business establishments per block by CLUE industry

• Employment by block by CLUE industry

• Floor space by use by block

In addition, these data sets also provide data from years 2002 to 2019.

For more information about CLUE see http://www.melbourne.vic.gov.au/clue

Contagion Index raster Victoria, AustraliaInput file used to model the species distributions of 40 reptile species in Victoria, Australia.Cell size - 250 x 250Original map of land cover types for Victoria obtained DataVic website. The original layer included 15 land cover classes. These were reclassified into five classes - cropping, grazing pasture, native vegetation, plantation forests and other.FRAGSTATS (v4.2, McGarigal et al 2012) was used to perform moving window analysis on the edited file to calculate Contagion Index. Further details of methods used to generate the input files and perform modelling are outlined in the methods section of the publication.Original dataset - Victorian Land Cover Mapping 2016https://metashare.maps.vic.gov.au/geonetwork/srv/api/records/45fb10e4-866a-50a2-902d-e4d0728f0caf/formatters/sdm-html?root=html&output=htmlDOI - 10.26279/5b98592d6b27d

There is a demand for regularly updated, broad-scale, accurate land cover information in Victoria from multiple stakeholders. This paper documents the methods used to generate an annual dominant land cover (DLC) map for Victoria, Australia from 2009 to 2013. Vegetation phenology parameters derived from an annual time series of the Moderate Resolution Imaging Spectroradiometer Vegetation Indices 16-day 250 m (MOD13Q1) product were used to generate annual DLC maps, using a three-tiered hierarchical classification scheme. Classification accuracy at the broadest (primary) class level was over 91% for all years, while it ranged from 72 to 81% at the secondary class level. The most detailed class level (tertiary) had accuracy levels ranging from 61 to 68%. The approach used was able to accommodate variable climatic conditions, which had substantial impacts on vegetation growth patterns and agricultural production across the state between both regions and years. The production of an annual dataset with complete spatial coverage for Victoria provides a reliable base data set with an accuracy that is fit-for-purpose for many applications.