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Report for Director Generals Requirement Rocky Hill Project 2012
No full text## **Abstract** \n\nThis dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. \n\nThe metadata was not provided by the data supplier and has been written by the programme based on known details at the time of writing. \n\n\n\nThe dataset is a PDF report published by Corkery & Co. Pty. Limited in 2012. It contains a map of the mine boundary for the Rocky Hill Coal Mine which was scanned and digitised to be used in subsequent analysis as part of the Bioregional Assessment.\n\n\n\nThis document has been assembled by R.W. Corkery & Co. Pty Limited on behalf of the Applicant to provide the NSW Department of Planning & Infrastructure (DP&I) and other relevant Government agencies with sufficient information to enable the Director-General's Requirements (DGRs) for an Environmental Impact Statement to be prepared for "the Proposal".\n\nThis document identifies the key environmental issues identified by the Applicant and its consultant team and outlines further investigations planned, as well as the approach to the \n\noverall design of the proposed mine. Although planning to date has adequately defined the location of most Proposal components, three options are presented for the supply of power to be used on site. The definition of the proposed power infrastructure will be finalised for inclusion in the Environmental Impact Statement for the Proposal.\n\n\n\nURL:\n\nR.W. Corkery & Co. Pty. Limited (2012) Documentation Supporting an Application for Director-General's Requirements for the Rocky Hill Coal Project. Report No. 806/02. Fig 1.4, pp 7 \n\nhttps://majorprojects.affinitylive.com/public/222e2eac61a6cfff98d8aa873aa6dbf0/Rocky%20Hill%20Coal%20Project_%20PEA.pdf\n\n## **Dataset History** \n\nThe maps shown in Fig1.4 was scanned and georeferenced in the GIS and selected mine footprint data digitised on screen to create a shapefile.\n\n\n\nR.W. Corkery & Co. Pty. Limited (2012) Documentation Supporting an Application for Director-General's Requirements for the Rocky Hill Coal Project. Report No. 806/02. Fig 1.4, pp 7 \n\nhttps://majorprojects.affinitylive.com/public/222e2eac61a6cfff98d8aa873aa6dbf0/Rocky%20Hill%20Coal%20Project_%20PEA.pdf\n\n## **Dataset Citation** \n\nR.W. Corkery & Co Pty Limited (2012) Report for Director Generals Requirement Rocky Hill Project 2012. Bioregional Assessment Source Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/d8837d3d-91bb-4496-814e-e707cf65fbb2.Report for Director Generals Requirement Rocky Hill Project 2012 - Data File<br/>
Extent of Coal Measures within the Morwell Formation
No full text## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. \n\n\n\nThis is a shapefile of the generalised spatial extent of coal measures within the Morwell Formation. It has been derived from the Morwell Formation Coal Seam contour data in the Latrobe Valley Coal Resources dataset (GUID: d994a979-9224-4540-986d-d123de2fb459). You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.\n\n## **Purpose** \n\nThe intention of this shapefile is to indicate the zone of interupted aquifer connectivity in the vicinity of the Morwell Formation. The coal seams act as aquitards and so vertical groundwater connectivity between aquifers overlying and underlying the Morwell Formation stratigraphic sequence is expected to be interupted by the presence of these aquitards.\n\n## **Dataset History** \n\nDigitised, general extent of all the Morwell Formation Coal Seam layers from the Latrobe Valley Coal Resources dataset (GUID: d994a979-9224-4540-986d-d123de2fb459):\n\n\n\n6_M2_THICK\n\n5_M2B_THICK\n\n5_M2A_THICK\n\n4_M1B2_THICK\n\n4_M1B_THICK\n\n3_M1B1_THICK\n\n3_M1A_THICK\n\n2_M1A2_THICK\n\n2_M1A1_THICK\n\n\n\nat 1:100,000 scale. \n\n\n\nFurther edits were made based on Morwell_coal_200k polygon drawn from all Morwell coal seam contours from the Latrobe Valley Coal Resources dataset. The northern and eastern boundaries were altered to reflect the estimated extent of the formation (original polygon is abruptly cut to the Latrobe Valley Coal Resources boundary). The estimated extent was based on Figure 10.27 of Holdgate, G. R. and S. J. Gallagher (2003). Tertiary: a period of transition to marine basin environments. Geology of Victoria. W. D. Birch, (Eds.) Geological Society of Australia Special Publication 23. Geological Society of Australia (Victoria Division). The extent was also checked against stratigraphic picks from petroleum well completion reports Rosedale 1 and Toongabbie 18 south (download from Geoscience Australia Petroleum Well Database http://dbforms.ga.gov.au/www/npm.well.search).\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2015) Extent of Coal Measures within the Morwell Formation. Bioregional Assessment Derived Dataset. Viewed 29 September 2017, http://data.bioregionalassessments.gov.au/dataset/2fe371d3-ca54-4493-a2bf-cedfe6fda138.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Latrobe Valley Coal Resources](https://data.gov.au/data/dataset/d994a979-9224-4540-986d-d123de2fb459)\n\nExtent of Coal Measures within the Morwell Formation - Data File<br/>
CLM - DEM in ascii format
No full text## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from the Geoscience Australia 1 second DEM dataset. The source dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. \n\n\n\nThis dataset consists of an ASCII format version of the 1 second SRTM DEM. The spatial extent is a bounding rectangle which covers the entire Clarence-Morton bioregion.\n\n## **Dataset History** \n\nThis ascii grid was clipped from the 1 second SRTM DEM using an rectangular extent which covers the entire Clarence-Morton bioregion. The coordinates (UTM) of the extent are:\n\nTop = 7011989.43173, Left = 362618.576, Right = 586771.518283, Bottom = 6632403.524.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2014) CLM - DEM in ascii format. Bioregional Assessment Derived Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/4e33c849-20ef-48f0-a522-22ac80d9cc73.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Geoscience Australia, 1 second SRTM Digital Elevation Model (DEM)](https://data.gov.au/data/dataset/9a9284b6-eb45-4a13-97d0-91bf25f1187b)\n\nCLM - DEM in ascii format - Data File<br/>
National Groundwater Information System, Queensland Core dataset (superseded)
No full text## **Abstract** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.\n\n\n\n\n\n\n\nNGIS_QLD_core was developed by Department of Natural Resources and Mining staff using the Queensland corporate groundwater database.Information in the corporate groundwater database was standardised using the NGIS schema and data dictionary.\n\n## **Dataset History** \n\nNational Groundwater Information System, Queensland Core dataset was developed by Department of Natural Resources and Mining staff using the Queensland corporate groundwater database. Information in the corporate groundwater database was standardised using the NGIS schema and data dictionary.\n\n## **Dataset Citation** \n\nQueensland Department of Natural Resources and Mines (2013) National Groundwater Information System, Queensland Core dataset (superseded). Bioregional Assessment Source Dataset. Viewed 27 September 2017, http://data.bioregionalassessments.gov.au/dataset/9f7573c0-e238-4a3c-a62b-a0326eaa9254.National Groundwater Information System, Queensland Core dataset (superseded) - Data File<br/>
SSB Selected gauges annual flows v01
No full text## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.\n\n\n\nThe data is used for streamflow annual time series analysis for the Sydney subregion. It summarises the mean monthly flow characteristics including monthly streamflow ratio (monthly mean divided by annual mean) distribution, for the Sydney Basin bioregion based on the streamflow data from the 68 gauging stations. Also calculated are mean annual flow volumes summarising mean annual flows for a selection of gauging sites in each of the major river basins in the Sydney Basin bioregion.\n\n## **Dataset History** \n\nThis dataset was generated using daily streamflow data obtained from the Sydney Catchment Authority and BoM. A subset of gauges were used to represent the major river basins in the Sydney Basin bioregion. Selection was based on gauges with the most number of days of data and the start and end dates vary across the sites. Data are collected at sites with very small contributing areas (a few square kilometres) through to sites with large contributing areas (thousands of square kilometres), hence there is considerable variability in the mean annual flows. Many of the gauges, particularly in the Hawkesbury and Shoalhaven river basins, are downstream of dams and their flow regimes will differ from pre-dam flows.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2016) SSB Selected gauges annual flows v01. Bioregional Assessment Derived Dataset. Viewed 14 June 2018, http://data.bioregionalassessments.gov.au/dataset/dedc652b-a9f3-4c05-bf06-9bd87e85f6ca.\n\n## **Dataset Ancestors** \n\n* **Derived From** [SYD ALL Raw Stream Gauge Data BoM v01](https://data.gov.au/data/dataset/b2cfd949-3ef0-4d2e-98c2-120f11b32be4)\n\n* **Derived From** [SYD ALL Unified Stream Gauge Data v01](https://data.gov.au/data/dataset/fbcf2377-fc55-489e-a432-c7fa430efbd6)\n\nSSB Selected gauges annual flows v01 - Data File<br/>
Density of Conservation Rated Species Mammals - PED
No full text## **Abstract** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.\n\nEach grid cell indicates the density of significant species surveyed within and can include multiple records of the same or different species, at the same or a nearby location, or on one or more occasion.\n\n## **Purpose** \n\nTo indicate the density of significant species surveyed within each grid cell.\n\n## **Dataset History** \n\nDataset developed for the Lake Eyre Basin Bioregional Assessment: Context statement for the Pedirka subregion.\n\n## **Dataset Citation** \n\nSA Department of Environment, Water and Natural Resources (2015) Density of Conservation Rated Species Mammals - PED. Bioregional Assessment Source Dataset. Viewed 12 October 2016, http://data.bioregionalassessments.gov.au/dataset/aa0c3a51-1111-45c6-ac5e-92304c5c02a3.Density of Conservation Rated Species Mammals - PED - Data File<br/>
Private bores used in the groundwater model for the Surat Underground Water Impact Report 2012
No full text## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from multiple source datasets. The source datasets are identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.\n\n\n\nThis contains an ArcGIS shapefile with a list of private bores in the Surat Cumulative Management Area used in the 2012 groundwater model for the Surat Underground Water Impact Report 2012 (Surat UWIR). List details individual bores, which aquifers used and its purpose.\n\n\n\nData is current up until April 2016.\n\n## **Dataset History** \n\nA shapefile was created using the Lat/Long coordinates found in the files 'UWIR Model Private Bores in CM.xlsx', which is stored with the shapefile but is found in the source dataset with GUID =1d09d17e-b16f-423d-80ae-92c8bf7a6685.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2015) Private bores used in the groundwater model for the Surat Underground Water Impact Report 2012. Bioregional Assessment Derived Dataset. Viewed 25 October 2017, http://data.bioregionalassessments.gov.au/dataset/1dd91a48-4626-44ce-bbe4-e7481a6c79f8.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Surat CMA private bores uses](https://data.gov.au/data/dataset/1d09d17e-b16f-423d-80ae-92c8bf7a6685)\n\nPrivate bores used in the groundwater model for the Surat Underground Water Impact Report 2012 - Data File<br/>
Australia - Present Major Vegetation Subgroups - NVIS Version 4.1 (Albers 100m analysis product)
No full text## **Abstract** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. \n\n\n\nThis raster dataset 'NVIS4_1_AUST_MVS_EXT_ALB' provides the latest summary information (November 2012) on Australia's present (extant) native vegetation, which has been classified into Major Vegetation Subgroups. It is in Albers Equal Area projection with a 100 m x 100 m (1 Ha) cell size. A comparable Estimated Pre-1750 (pre-European, pre-clearing) raster dataset is available: - NVIS4_1_AUST_MVS_PRE_ALB. State and Territory vegetation mapping agencies supplied a new version of the National Vegetation Information System (NVIS) in 2009-2011. Some agencies did not supply new data for this version but approved re-use of Version 3.1 data. Summaries were derived from the best available data in the NVIS extant theme as at June 2012. This product is derived from a compilation of data collected at different scales on different dates by different organisations. Please refer to the separate key map showing scales of the input datasets. Gaps in the NVIS database were filled by non-NVIS data, notably parts of South Australia and small areas of New South Wales such as the Curlewis area. The data represent on-ground dates of up to 2006 in Queensland, 2001 to 2005 in South Australia (depending on the region) and 2004/5 in other jurisdictions, except NSW. NVIS data was partially updated in NSW with 2001-09 data, with extensive areas of 1997 data remaining from the earlier version of NVIS. Eighty-five (85) Major Vegetation Subgroups identified in v4.1 to summarise the type and distribution of Australia's native vegetation. The classification contains an emphasis on the structural and floristic composition of the dominant stratum (as with Major Vegetation Groups), but with additional types identified according to typical shrub or ground layers occurring with a dominant tree or shrub stratum. In a mapping sense, the subgroups reflect the dominant vegetation occurring in a map unit from a mix of several vegetation types. Less-dominant vegetation groups which are also present in the map unit are not shown. For example, the dominant vegetation in an area may be mapped as dominated by eucalypt open forest with a shrubby understorey, although it contains pockets of rainforest, shrubland and grassland vegetation as subdominants. A number of other non-vegetation and non-native vegetation land cover types are also represented as Major Vegetation Subgroups. These are provided for cartographic purposes, but should not be used for analyses. The (related) Major Vegetation Groups represent the dominant vegetation groups in the dominant stratum and are available as separate raster datasets: - NVIS4_1_AUST_MVG_EXT_ALB - NVIS4_1_AUST_MVG_PRE_ALB For further background and other NVIS products, please see the links on http://www.environment.gov.au/erin/nvis/index.html.\n\n\n\nThe current NVIS data products are available from http://www.environment.gov.au/land/native-vegetation/national-vegetation-information-system.\n\n## **Dataset History** \n\nThe input vegetation data were provided from over 100 individual projects representing the majority of Australia's regional vegetation mapping over the last 50 years. State and Territory custodians translated the vegetation descriptions from these datasets into a common attribute framework, the National Vegetation Information System (ESCAVI, 2003). Scales of input mapping ranged from 1:25,000 to 1:5,000,000. These were combined into an Australia-wide set of vector data. Non-terrestrial areas were mostly removed by the State and Territory custodians before supplying the data to the Environmental Resources Information Network (ERIN), Department of Sustainability Environment Water Population and Communities (DSEWPaC).\n\n\n\nEach NVIS vegetation description was written to the NVIS XML format file by the custodian, transferred to ERIN and loaded into the NVIS database at ERIN. A considerable number of quality checks were performed automatically by this system to ensure conformity to the NVIS attribute standards (ESCAVI, 2003) and consistency between levels of the NVIS Information Hierarchy within each description. Descriptions for non-vegetation and non-native vegetation mapping codes were transferred via CSV files.\n\n\n\nThe NVIS vector (polygon) data for Australia comprised a series of jig-saw pieces, each up to approx 500,000 polygons - the maximum tractable size for routine geoprocesssing. The spatial data was processed to conform to the NVIS spatial format (ESCAVI, 2003; other papers). Spatial processing and attribute additions were done mostly in ESRI File Geodatabases. Topology and minor geometric corrections were also performed at this stage. These datasets were then loaded into ESRI Spatial Database Engine as per the ERIN standard. NVIS attributes were then populated using database tables provided by custodians, mostly using PL/SQL Developer or in ArcGIS using the field calculator (where simple).\n\n\n\nEach spatial dataset was joined to and checked against a lookup table for the relevant State/Territory to ensure that all mapping codes in the dominant vegetation type of each polygon (NVISDSC1) had a valid lookup description, including an allocated MVS. Minor vegetation components of each map unit (NVISDSC2-6) were not checked, but could be considered mostly complete. \n\n\n\nEach NVIS vegetation description was allocated to a Major Vegetation Subgroup (MVS) by manual interpretation at ERIN and in consultation with data custodians. 12 new MVSs were created for version 4.1 to better represent open woodland formations, more understorey types and forests (in the NT) with no further data available. Also, a number of MVSs were redefined after creation of the new groups to give a clearer and precise description of the Subgroup. For example, MVS 9 - 'Eucalyptus woodlands with a grassy understorey' became 'Eucalyptus woodlands with a tussock grass understorey' to distinguish it from MVS10 - 'Eucalyptus woodlands with a hummock grass understorey'. NVIS vegetation descriptions were reallocated into these classes, if appropriate:\n\n- Warm Temperate Rainforest\n\n- Eucalyptus woodlands with a hummock grass understorey\n\n- Acacia (+/- low) open woodlands and sparse shrublands with a shrubby understorey\n\n- Mulga (Acacia aneura) open woodlands and sparse shrublands +/- tussock grass\n\n- Eucalyptus woodlands with a chenopod or samphire understorey\n\n- Open mallee woodlands and sparse mallee shrublands with a hummock grass understorey\n\n- Open mallee woodlands and sparse mallee shrublands with a tussock grass understorey\n\n- Open mallee woodlands and sparse mallee shrublands with an open shrubby understorey\n\n- Open mallee woodlands and sparse mallee shrublands with a dense shrubby understorey\n\n- Callitris open woodlands\n\n- Casuarina and Allocasuarina open woodlands with a tussock grass understorey\n\n- Casuarina and Allocasuarina open woodlands with a hummock grass understorey\n\n- Casuarina and Allocasuarina open woodlands with a chenopod shrub understorey\n\n- Casuarina and Allocasuarina open woodlands with a shrubby understorey\n\n- Melaleuca open woodlands\n\n- Other Open Woodlands\n\n- Other sparse shrublands and sparse heathlands\n\n- Unclassified Forest\n\n\n\nData values defined as cleared or non-native by data custodians were attributed specific MVS values such as 42 - naturally bare, sand, rock, claypan, mudflat; 43 - salt lakes and lagoons; 44 - freshwater lakes and dams; 46 - seas & estuaries, 90, 91, 92 & 93 - Regrowth Subgroups; 98 - Cleared, non native, buildings; and 99 - Unknown.\n\n\n\nAs part of the process to fill gaps in NVIS, the descriptive data from non-NVIS sources was also stored in the NVIS database, but with blank vegetation descriptions. In general, the gap-fill data comprised (a) fine scale (1:250K or better) State/Territory vegetation maps for which NVIS descriptions were unavailable and (b) coarse-scale (1:1M) maps from Commonwealth and other sources. MVGs were then allocated to each description from the available desciptions in accompanying publications and other sources. \n\n\n\nParts of New South Wales, South Australia, QLD and the ACT had extensive areas of vector "NoData", thus appearing as an inland sea. The No Data areas were dealt with differently by state. In the ACT and SA, the vector data was 'gap-filled' with polygons and attributed using satellite imagery as a guide prior to rasterising. Most of these areas comprised a mixture of MVS 43, 44 & 46 (water) and 98 (cleared), and in some case 99 (Unknown). The NSW & QLD 'No Data' areas were filled later in the workflow using a raster mask to fill the 'holes'. These areas were attributed with MVS 43, 44, & 97 (water & unclassified veg), MVS 98 (cleared); or MVS 99 Unknown/no data, where these areas were a mixture of unknown proportions.\n\n\n\nEach spatial dataset with joined lookup table (including MVS_NUMBER linked to NVISDSC1) was exported to a File Geodatabase as a feature class. These were reprojected into Albers Equal Area projection (Central_Meridian: 132.000000, Standard_Parallel_1: -18.000000, Standard_Parallel_2: -36.000000, Linear Unit: Meter (1.000000), Datum GDA94, other parameters 0).\n\n\n\nEach feature class was then rasterised to a 100m raster with extents to a multiple of 1000 m, to ensure alignment. In some instances, areas of 'NoData' had to be modelled in raster. For example, in NSW where non-native areas (cleared, water bodies etc) have not been mapped. The rasters were then merged into a 'state wide' raster. State rasters were then merged into this 'Australia wide' raster dataset.\n\n\n\nNovember 2012 Corrections\n\n-----------------------------------------\n\nCloser inspection of the original 4.1 MVS Extant raster dataset highlighted some issues with the raster creation process which meant that raster pixels in some areas did not align as intended. These were corrected, and the new properly aligned rasters released in November 2012. \n\n\n\nMVS Legend\n\n-----------------------\n\nThe MVS legend is a complex structure given the number of classes involved. The shadeset in the accompanying layer file is regarded as an interim solution, whilst the order of classes needs to be re-organised manually to conform with the SORT_ORDER field as provided in the Raster VAT.\n\n## **Dataset Citation** \n\nDepartment of the Environment (2012) Australia - Present Major Vegetation Subgroups - NVIS Version 4.1 (Albers 100m analysis product). Bioregional Assessment Source Dataset. Viewed 14 June 2018, http://data.bioregionalassessments.gov.au/dataset/5d09d8f2-4471-4503-9de5-1e52009dd7c6.Australia - Present Major Vegetation Subgroups - NVIS Version 4.1 (Albers 100m analysis product) - Data File<br/>
Victoria - 1 in 100 Year Flood Extent
No full text## **Abstract** \n\nThis dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.\n\n\n\nPolygon data delineating modelled statistical flood extent with an Average Recurrence Interval (ARI) of 100 years. For historical/actual flood extents, refer to 'Historic_extent' layer. Also known as the 1 in 100 year flood layer, it is used, among other things, in the creation of 'Land Subject to Inundation' areas as used in Planning Scheme Zones. The 1 in 100 year data is not restricted. This data is part of a group of layers depicting a range of statistical ARI extents. Current layers include 5, 10, 20, 30, 50, 100, 200, 500, 1000 year intervals, each in a separate dataset. The layer called EXTENT_PMF represents areas of 'probable maximum flood' and is also part of this group. The data is statistically derived using hydrological models, historic flood extents and heights.\n\n## **Purpose** \n\nMainly used for municipal planning and risk assessment. The EXTENT_100Y_ARI layer is deemed the most appropriate to use for determining areas at risk of flooding. This layer directly inputs into the Land Subject to Inundation overlay. (LSIO)\n\n## **Dataset History** \n\nLineage: Primary\n\n\n\nPositional Accuracy: Precision: 5m to 100m Initial data, flagged as 'modified = 20000101' varies in accuracy, and should be treated with caution, particularly at scales less than 1:25,000. Data with 'modified' values later than 20000101 are quite accurate and mostly sourced from flood studies. This data is suitable to use at township and parcel level. Reliability field provides clues to the accuracy, where a value of 1 is best and 3 is worst.\n\n\n\nAttribute Accuracy: Attributes are verified and should be accurate. Overall reliability of the source material is indicated in RELIABILITY field, where 'HIGH' is good and 'LOW' is poor quality source information.\n\n\n\nLogical Consistency: Attributes are consistent with other related layers e.g. flood height contours \n\n\n\nData Source: Flood data dates back to mid 1800s and historically has been predominantly located in DNRE Floodplain Management. Some data is located in Water Authorities.\n\n\n\nCompleteness: Floodplain Management Unit mapping conventions on definitions of flood mapping height data will be followed.\n\n\n\nAdditional Metadata: Recommend liaison with Floodplain Management Unit to clarify use of this layer\n\nRefer to mapping reports for each major data capture effort to be kept at DNRE Floodplain Management Unit.\n\n## **Dataset Citation** \n\nVictorian Department of Environment and Primary Industries (2014) Victoria - 1 in 100 Year Flood Extent. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/6e59ed35-3fde-48e3-8135-eb05263ce4aa.Victoria - 1 in 100 Year Flood Extent - Data File<br/>
Gippsland flood extent for significant event 201206
No full text## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme from the Victorian Flood database. The parent dataset(s) is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement.\n\n\n\nThis dataset comprises a subset of the full Victorian Flood database separated on the specific year and month of the event in the Gippsland region. This package of data contains flood extent of the flood in June 2012 (201206). It may include both modelled and observed data.\n\n## **Purpose** \n\nVictoria Flood Database is a collection of observed and modelled flood information. It is used for risk assessment, strategic planning and emergency response. The Extent_100y_ARI and Floodway layers are used to develop flood-specific zones and ovelays in the Municipal Planning Schemes. This collective data forms the basis for web-based interactive flood response mapping tool known as FLOODMAP.\n\n## **Dataset History** \n\nData has initially been drawn from authoritative sources through the digitisation project in 1998/1999 known as the Flood Data Transfer Project. Detail is primarily aligned to varying versions of Vicmap and other assorted data. Recent flood studies are largely based on high resolution DEMs, while some rural areas were mapped from oblique photography and 'best estimate' principles by floodplain managers. Positional accuracy of all content, although accepted as meeting a reasonable level of alignment, cannot therefore be accurately stated. An reliability and modified date attribute is given for every feature in the VFD. Users must therefore read the reliability attribute of any given feature in order to determine whether it is fit for purpose.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2015) Gippsland flood extent for significant event 201206. Bioregional Assessment Derived Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/e60d5d16-a857-405e-b04f-fe9f5f97d7f9.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Victoria - 1 in 100 Year Flood Extent](https://data.gov.au/data/dataset/6e59ed35-3fde-48e3-8135-eb05263ce4aa)\n\nGippsland flood extent for significant event 201206 - Data File<br/>