Modelled long term (1958-2005) average diffuse recharge (in mm) for June as calculated using the Ensym model. Includes rainfall recharge and irrigation recharge however excludes river / stream / channel / reservoir leakage. Ensym estimates daily spatial recharge by solving for physical processes using analytical solutions and empirical equations. Water entering the soil profile is initially determined by subtracting the calculated surface runoff from the total daily precipitation and irrigation. Once in the soil profile, water can be removed by evapotranspiration, lateral flow and downward movement if soil capacity is exceeded. Water fills up lower soil layers until it exits the soil profile and becomes drainage. Drainage is then partioned into sub surface lateral flow and recharge. For further information: https://ensym.dse.vic.gov.au/home/aboutensym Beverly, C., 2007. Technical Manual - Models of the Catchment Analysis Tool. Victoria. Department of Sustainability and Environment.

This dataset consists of deepest sediment trendlines interpreted from bore-controlled residual gravity bedrock depth for the Goulburn-Murray area. The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.

This dataset comprises all basement boreholes reaching bedrock passing through basalt covered areas used for bore control of Free Air (FA) Gravity data. These boreholes have been used to give better control for interpolating to FA gravity data. The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.

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 Mallee 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.

Captured as part of the 2012-13 CIP, this 15cm imagery product comprises 3 visible band (RGB) photography over selected areas within East Gippsland Shire.

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

Captured as part of the 2012-13 CIP, this project comprises 3 band 12cm township photography.

Selected areas within the Shires of Bendigo, Shepparton, and Wodonga captured at 20cm resolution as part of the 2012-13 CIP.

2013 Hallston Post Fire Photography

In 2011-2012 a species tolerance model was developed by Arthur Rylah Institute, collaborating with DPI, to provide a relative measure of sensitivity of groundwater dependent species to changes in groundwater availability and quality. This grid is the mean output of the model for each Grid cell. Grid cell values have been used to attribute the Potential Groundwater Dependent Ecosystems mapping. Potential Groundwater Dependent Ecosystems (GDE) are ecosystems identified within the landscape as likely to be at least partly dependent on groundwater. Refer to the Potential Groundwater Dependent Ecosystems metadata record for a full acount of the data product.