Captured as part of the 2013-13 CIP, this project is for 10cm, 3 band visible (RGB) digital photography over selected towns within Mitchell Shire

Fastlook 35cm 4 band (RGBi) photography Imagery was delivered as a single mosaic covering all Shires instead of one mosaic per Shire.

Three datasets were intersected to develop the Wetland GDE Value raster grid: (1) Wetland GDEs (SKM, 2011); (2) RAMSAR wetland sites; (3) Australian Directory of Important Wetlands. Each grid contains the following attibution: Wetland_SKM where 0 = no and 1 = yes RAMSAR where 0 = no and 1 = yes Wetland_Directory where 0 = no and 1 = yes SKM_RAM_DIR which combined the results of the previous three intersection attributes per grid GDE_Value - a textual description of SKM_RAM_DIR

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.

This CIP project is for the capture of 10cm photography for local government, state government and water authorities will be used for a range of analytical and mapping purposes.

This dataset is a raster layer of the Top of the Wangerrip Group, Otway Basin in metres below sea level. The Wangerrip Group is part of the Lower Tertiary Aquifer (LTA) as outlined in the Victorian Aquifer Framework (VAF). Due to deficiencies in mapping previously completed by 3D Geo for Southern Rural Water in 2011, a number of processes were applied to correct the Top and Base and thus the Thickness of the Wangerrip Group. 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 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.

This dataset contains information for boreholes that record groundwater chloride concentration levels sourced from the Victorian Groundwater Management System (GMS). It could be used in conjuction with the chloride deposition in rainfall dataset (developed by the CSIRO) to undertake a mass balance analysis to derive groundwater recharge.

2013 Grampians & Kentbruck Post Fire Photography

This dataset comprises lineaments interpreted from 50m gridded Total Magnetic Intensity (TMI) data. Analysis has focussed on interpreting structural trends not addressed closely by the work completed by the former Department of Primary Industries (DPI) - specifically NNE-SSW, ENE-WSW and WNW-ESE trends. 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.