Slope in degrees over 1km grid for Victoria, generated by Entura for the Solar Atlas project. The methodology is contained within the report prepared by Entura which is downloadable here: https://gsv.vic.gov.au/downloader/Downloader?ID=documentation/geovic_3/energy_division/E300128-TR01%20Solar%20Atlas%20Victoria%20(public%20release)%20with%20calibration%20certificates.pdf

This dataset contains primary geological data, namely outcropping geological rock units. The data has been collected by the Geological Survey of Victoria.

Hydrographs from over 2000 state observation bores were reviewed in order to group bores which have a similar water level trend and are screened in the same aquifer. The groupings of observation bores are referred to as 'suites' and are classified according to the Upper, Middle, Lower and Basement aquifers aligning with the Victorian Aquifer Framework. By applying a statistical technical, a normalised hydrograph was developed for each suite using the observed water levels from all bores within the suite. This hydrograph is representative of the groundwater trend within the suite. A spatial boundary has been created for each suite which encompasses all bores within the suite. The boundaries were manually constructed and cover the extent of the mapped aquifers.

Potential Groundwater Dependent Ecosystems (GDE) are ecosystems identified within the landscape as likely to be at least partly dependent on groundwater. State-wide screening analysis was performed to identify locations of potential terrestrial GDEs, including wetland areas. The GDE mapping was developed utilising satellite remote sensing data, geological data and groundwater monitoring data in a GIS overlay model. Validation of the model through field assessment has not been performed. The method has been applied for all of Victoria and is the first step in identifying potential groundwater dependent ecosystems that may be threatened by activities such as drainage and groundwater pumping. The dataset specifically covers the Goulburn Broken Catchment Management Authority (CMA) area. The method used in this research is based upon the characteristics of a potential GDE containing area as one that: 1. Has access to groundwater. By definition a GDE must have access to groundwater. For GDE occurrences associated with wetlands and river systems the water table will be at surface with a zone of capillary extension. In the case of terrestrial GDE's (outside of wetlands and river systems), these are dependent on the interaction between depth to water table and the rooting depth of the vegetation community. 2. Has summer (dry period) use of water. Due to the physics of root water uptake, GDEs will use groundwater when other sources are no longer available; this is generally in summer for the Victorian climate. The ability to use groundwater during dry periods creates a contrasting growth pattern with surrounding landscapes where growth has ceased. 3. Has consistent growth patterns, vegetation that uses water all year round will have perennial growth patterns. 4. Has growth patterns similar to verified GDEs. The current mapping does not indicate the degree of groundwater dependence, only locations in the landscape of potential groundwater dependent ecosystems. This dataset does not directly support interpretation of the amount of dependence or the amount of groundwater used by the regions highlighted within the maps. Further analysis and more detailed field based data collection are required to support this. The core data used in the modelling is largely circa 1995 to 2005. It is expected that the methodology used will over estimate the extent of terrestrial GDEs. There will be locations that appear from EvapoTranspiration (ET) data to fulfil the definition of a GDE (as defined by the mapping model) that may not be using groundwater. Two prominent examples are: 1. Riparian zones along sections of rivers and creeks that have deep water tables where the stream feeds the groundwater system and the riparian vegetation is able to access this water flow, as well as any bank storage contained in the valley alluvials. 2. Forested regions that are accessing large unsaturated regolith water stores. The terrestrial GDE layer polygons are classified based on the expected depth to groundwater (ie shallow <5 m or deep >5 m). Additional landscape attributes are also assigned to each mappnig polygon. In 2011-2012 a species tolerance model was developed by Arthur Rylah Institute, collaborating with DPI, to model landscapes with ability to support GDEs and to provide a relative measure of sensitivity of those ecosystems to changes in groundwater availability and quality. Rev 1 of the GDE mapping incorporates species tolerance model attributes for each potential GDE polygon and attributes for interpreted depth to groundwater. Separate datasets and associated metadata records have been created for GDE species tolerance.

Seismic Cross Section Lines. The lines are an index of traces along Seismic Sections where special cross sectional diagrams have been produced.

Thiessen polygons were generated for climate stations point locations for Victoria, and attributed with the station ID. Polygons were rasterised based on resamling VICMAP_ELEVATION_DTM_20M to 100m. Site information was obtained from the Queensland Department Natural Resources SILO website (http://www.nrw.qld.gov.au/silo/ppd).

The Former Mines and Quarries Project (2022 to 2025) created a process to extract data from many WOVG datasets in order to collate all these features into an inventory. of Mining and Quarrying Features such as Mine Shafts or Quarries. It includes a considerable number of new features collected from LIDAR analysis. Feeder Datasets include: ABANDONED_MINES ACTIVE_CONTAM FMQF FMQF_LIDAR FOI_POINT FOI_POLYGON HERITAGE_INVENTORY HERITAGE_REGISTER HIST100_POINT MINERALS.MINSITE MULLOCK100_POLYGON RECWEB_HISTORIC_RELIC MINERALS.SHAFT The following link provides all documentation behind the database that was used to create this dataset: https://earthresources.efirst.com.au/product.asp?pID=1353&cID=71 For further information email fmqf@deeca.vic.gov.au

The groundwater resource along the South Australian-Victorian border is shared between the states. In recognition of the need to cooperatively manage these resources, the two states entered into the Border Groundwaters Agreement in 1985. This agreement establishes a Designated Area, extending 20 km on either side of the border, and from the coast to the Murray River.

Contains polygon features delineating boundaries and describing forest management areas. All arc features are identified and coded according to the AS2482 standard.

Potential Groundwater Dependent Ecosystems (GDE) are ecosystems identified within the landscape as likely to be at least partly dependent on groundwater. State-wide screening analysis was performed to identify locations of potential terrestrial GDEs, including wetland areas. The GDE mapping was developed utilising satellite remote sensing data, geological data and groundwater monitoring data in a GIS overlay model. Validation of the model through field assessment has not been performed. The method has been applied for all of Victoria and is the first step in identifying potential groundwater dependent ecosystems that may be threatened by activities such as drainage and groundwater pumping. The dataset specifically covers the Glenelg Hopkins Catchment Management Authority (CMA) area. The method used in this research is based upon the characteristics of a potential GDE containing area as one that: 1. Has access to groundwater. By definition a GDE must have access to groundwater. For GDE occurrences associated with wetlands and river systems the water table will be at surface with a zone of capillary extension. In the case of terrestrial GDE's (outside of wetlands and river systems), these are dependent on the interaction between depth to water table and the rooting depth of the vegetation community. 2. Has summer (dry period) use of water. Due to the physics of root water uptake, GDEs will use groundwater when other sources are no longer available; this is generally in summer for the Victorian climate. The ability to use groundwater during dry periods creates a contrasting growth pattern with surrounding landscapes where growth has ceased. 3. Has consistent growth patterns, vegetation that uses water all year round will have perennial growth patterns. 4. Has growth patterns similar to verified GDEs. The current mapping does not indicate the degree of groundwater dependence, only locations in the landscape of potential groundwater dependent ecosystems. This dataset does not directly support interpretation of the amount of dependence or the amount of groundwater used by the regions highlighted within the maps. Further analysis and more detailed field based data collection are required to support this. The core data used in the modelling is largely circa 1995 to 2005. It is expected that the methodology used will over estimate the extent of terrestrial GDEs. There will be locations that appear from EvapoTranspiration (ET) data to fulfil the definition of a GDE (as defined by the mapping model) that may not be using groundwater. Two prominent examples are: 1. Riparian zones along sections of rivers and creeks that have deep water tables where the stream feeds the groundwater system and the riparian vegetation is able to access this water flow, as well as any bank storage contained in the valley alluvials. 2. Forested regions that are accessing large unsaturated regolith water stores. The terrestrial GDE layer polygons are classified based on the expected depth to groundwater (ie shallow <5 m or deep >5 m). Additional landscape attributes are also assigned to each mappnig polygon. In 2011-2012 a species tolerance model was developed by Arthur Rylah Institute, collaborating with DPI, to model landscapes with ability to support GDEs and to provide a relative measure of sensitivity of those ecosystems to changes in groundwater availability and quality. Rev 1 of the GDE mapping incorporates species tolerance model attributes for each potential GDE polygon and attributes for interpreted depth to groundwater. Separate datasets and associated metadata records have been created for GDE species tolerance.