A set of Digital Soil Maps (mean, 5th and 95th percentile prediction values) of available water holding capacity % across Victoria in geotiff format. Grids of key soil properties have been produced for Victoria. These grids, in raster format, provide prediction and confidence interval values for key soil properties at a 90 m grid resolution for six set depths; 0 to 5 cm, 5 to 15 cm, 15 to 30 cm, 30 to 60 cm, 60 to 100 cm and 100 to 200 cm, across Victoria. The grids have been designed to meet the specifications created by GlobalSoilMap (www.globalsoilmap.net) to develop and deliver detailed soil information in a consistent form. The grids are a spatial interpolation of key soil properties to support modelling and decision making in resource management, agricultural production, land use policy and planning, and in further research such as ecosystem modelling. The methodology used to develop the Soil Grids of Victoria has been based on that refined by the Australian Soil and Landscape Grid. Data and knowledge embedded into existing soil related datasets, e.g. soil profile and land mapping collections, have been key inputs. Whilst the new maps show an immense amount of fine scale detail, and are our best spatially continuous and exhaustive estimates of soil attributes across all of Victoria, they are most appropriately used for assessments of regional to state-wide trends of soil properties and their relationship with their environment and pedogenesis. Care should be taken when using the grids for local assessments and it is recommended that the confidence intervals are included at this scale.

A set of Digital Soil Maps (mean, 5th and 95th percentile prediction values) of soil silt % across Victoria in geotiff format. Silt is considered to be the 2 - 20 um mass fraction of the < 2mm soil material. Grids of key soil properties have been produced for Victoria. These grids, in raster format, provide prediction and confidence interval values for key soil properties at a 90 m grid resolution for six set depths; 0 to 5 cm, 5 to 15 cm, 15 to 30 cm, 30 to 60 cm, 60 to 100 cm and 100 to 200 cm, across Victoria. The grids have been designed to meet the specifications created by GlobalSoilMap (www.globalsoilmap.net) to develop and deliver detailed soil information in a consistent form. The grids are a spatial interpolation of key soil properties to support modelling and decision making in resource management, agricultural production, land use policy and planning, and in further research such as ecosystem modelling. The methodology used to develop the Soil Grids of Victoria has been based on that refined by the Australian Soil and Landscape Grid. Data and knowledge embedded into existing soil related datasets, e.g. soil profile and land mapping collections, have been key inputs. Whilst the new maps show an immense amount of fine scale detail, and are our best spatially continuous and exhaustive estimates of soil attributes across all of Victoria, they are most appropriately used for assessments of regional to state-wide trends of soil properties and their relationship with their environment and pedogenesis. Care should be taken when using the grids for local assessments and it is recommended that the confidence intervals are included at this scale.

Exploration Graticules are used as the main boundaries for Exploration Licences since 1973 - GDA94 - Effective 1st July 2005

Land cover mapping data is an annual component of the Victorian Land Use Information System, the VLUIS. The land cover information has been created specifically for the VLUIS 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 the annual seasonal curves and validation of the classification output. The ground data is split into three groups with 50% used to develop classification rules, 25% used to produce interim validation results that feed back into the rule development process with the remaining 25% used to independently validate the final classification. Error matrices for each land cover dataset from 2009 have been produced from this final validation. The TIMESAT GUI is used to create smoothed annual time series for the Normalised Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and the Red and Near Infrared (NIR) MOD13Q1 or MYD13Q1 bands using the Savitsky-Golay algorithm. A time series of 21 images was used and a suite of 11 seasonal parameters created that each numerically describe features of the annual seasonal curves for each band. In addition the standard deviation of the annual seasonal curve is calculated for each band and used in conjunction with the seasonal parameters. A three-tiered hierarchical classification was developed to assign a dominant land cover class to each pixel. Initially, rules developed using the data mining tool See5 and / or expert knowledge were applied to the seasonal parameters and the annual standard deviation in conjunction with a GIS data-set of water bodies greater than 12.5ha in area to classify each pixel as either Tree, Non-tree or Water based on two data sets from the corporate spatial data library, HY_WATER_AREA_POLY.shp and VM_LITE_HY_WATER_AREA.shp; and are combined to form the water bodies layer. In addition, the primary classes are cross checked using data from preceding and following years to reduce misclassification prior to the secondary classification. A secondary classification developed using rules based on expert knowledge and / or See5 is applied to split the primary class Tree into the secondary classes Native Woody Cover and Treed Production and the primary class Non-tree into the secondary classes Pasture/ Grassland and Crops. Finally, a tertiary classification further divides the secondary class Treed Production into the tertiary classes Hardwood Plantation, Softwood Plantation and evergreen or deciduous Woody Horticulture and the secondary class Crops into the tertiary classes Brassicas, Legumes, Cereals and Non-Woody Horticulture based on rules developed using the data mining tool See5 and modified where appropriate by expert knowledge. Additional information on land cover mapping, including map symbology, can be found on Victorian Resources Online. DOI 10.26279/5b98601d6b27e

Coal seam isopach. contoured at 10 m. <a href=&#09;http://er-info.dpi.vic.gov.au/publications/documentation/geovic_3/earth_resources/coal_model_modelled_seam_descriptions_2011.html&#09;>Link to Further Coal Seam model Information</a> <a href=&#09;http://geology.data.vic.gov.au/CoalResource/&#09;>Link to Coal Model Data (works in firefox , but not internet explorer)</a>

Exploration Graticules are used as the main boundaries for Exploration Licences since 1973 - AGD66 - Expires 30th June 2005

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 is in the form of a 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 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 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. Irrigation activity is included when available. The data was not available in 2006-07 and there was incomplete coverage in 2012-13 and therefore the irrigation activity was not included in either of those datasets. 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 2006/07 product, and ESRI symbology files for the data can be freely downloaded from the VLUIS project page: http://vro.depi.vic.gov.au/dpi/vro/vrosite.nsf/pages/vluis DOI: http://dx.doi.org/10.5061/dryad.n08t0

mainly licences from 1860 to 1930 Being digitized to help in identifying land where native title claims may be rejected.

Minerals and Petroleum Client Service Officer Teams. CSO's usually operate in teams so that a group of titles or tenements are administered by the same group of people.

Petroleum permit boundaries including exploration permits, retention leases and production licences under the following Acts: Offshore 3 Nautical Mile Limit waters - Offshore Petroleum and Greenhouse Gas storage Act 2006 Onshore - Petroleum Act 2005 as of June 2007, it also includes Special Access Authorities Special Prospecting Authorities Access Authorities