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Land classification for the Clarence-Moreton preliminary assessment extent

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Publication venue: data.gov.au
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Field of study

## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme. This dataset was derived from multiple datasets. 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\n\nShapefile defining landscape classes across the whole Clarence-Moreton preliminary assessment extent (PAE), as created for the Bioregional Assessments program. This landscape classification was developed to characterise the nature of water dependency among the diverse range of assets, based on key landscape properties related to patterns in geology, geomorphology, hydrology and ecology (both natural and modified ecosystems).\n\n\n\nCLM Product 2.3 (Section 2.3.3) provides the methodology used to derive the classification.\n\n## **Dataset History** \n\nMethodology is provided in Product 2.3, Ecosystems chapter, as copied below.\n\n\n\nThere are many different classification and landscape class methodologies which have been developed to provide consistent and functionally relevant representations of ecosystems (e.g. Australian National Aquatic Ecosystem (ANAE) classification framework). Where appropriate, the approach used to derive the 'Land classification for the Clarence-moreton preliinary assessment extent' built on, and integrated these existing classification systems. \n\n\n\nThe process of devising and implementing a landscape classification for the Clarence-Moreton PAE predominately involved combining existing classes within data associated with aquatic and groundwater-dependent ecosystems, vegetation and land use mapping. The landscape classification was derived from data layers consisting of polygons (e.g. vegetation, terrestrial/surface GDEs or wetlands), lines (stream network) and points (springs, economic groundwater assets) and produced an output polygon dataset. \n\n\n\n1. Classification of polygon features:\n\n\n\nThe approach taken was formulated in close collaboration with several experts that had extensive experience with the landscapes of the PAE and had input into developing similar classification systems such as the ANAE classification framework (Aquatic Ecosystems Task Group, 2012). The input datasets and rule sets used for analysis of the polygon layers for this component of the classification are given in Table 1 of Product 2.3, Ecosystems chapter.\n\n \n\nGeology is the main landscape-forming driver with four types characterising the bioregion:\n\n\\*\tFractured (volcanic) rock\n\n\\*\tConsolidated sedimentary rock\n\n\\*\tUnconsolidated sedimentary sediments - alluvium\n\n\\*\tUnconsolidated sedimentary sediments - estuarine\n\n\n\nThe fractured rock is represented by the steep escarpment mainly along the Queensland-NSW border within the bioregion. The consolidated sedimentary rock covers the rest of the bioregion except where it is covered by the alluvium associated with hydrological features and floodplains or the estuarine sediments along the coast. The broad geological classification divides the PAE according to Queensland pre-clearing remnant vegetation mapping (9b7bcebf-8b7f-4fb4-bc91-d39f1bd960cb) with the associated landzone classes and NSW Mitchell landscapes (e64597db-453c-46be-a352-360b775d2852). Both datasets were reclassified by a geologist to conform to the four geological types. \n\n\n\n2. Classification of lines (watercourses)\n\n\n\nThe approach to classifying watercourses in the PAE broadly focused on whether or not they were streams or rivers. The watercourses were primarily based on the Bureau of Meteorology's Geofabric cartographic mapping of river channels derived from 1:250,000 topographic maps (ed3acf9b-888c-4d53-b376-ecab89781651). The Geofabric is a purpose-built GIS that maps Australian rivers and streams and identifies how stream features are connected hydrologically. Detailed descriptions of the Geofabric can be found in the Geofabric product guide (Bureau of Meteorology 2012). The water regime of the Geofabric watercourses was defined according to their hierarchy - either 'river' (hierarchy 'major') or 'stream' (hierarchy 'minor'). \n\n\n\nRivers were further classed as 'tidal river' where upstream tidal limits could be determined from published information.\n\n\n\nThe Geofabric watercourse mapping is a line dataset. As part of processing to derive the output landscape classes, all Geofabric watercourses were buffered 0.5m (total 1m both sides of the watercourse). This did not adequately represent the true extent of some watercourses - particularly estuaries and wide rivers. Accordingly, watercourses were broadened to reflect real extent, where NVIS4_1 dataset (57c8ee5c-43e5-4e9c-9e41-fd5012536374>) classes were 'sea and estuaries' and 'inland aquatic - freshwater, salt lakes, lagoons' and where these waterbodies were not already captured in the aquatic classes defined in Table 1 f Product 2.3, Ecosystems chapter.\n\n\n\nFreshwater rivers were differentiated from freshwater streams according to the available Geofabric data and in part this served to acknowledge hierarchical differences in geomorphological and ecological processes within main channel depositional zones as opposed to smaller tributary systems. These rivers and streams were further differentiated from estuarine watercourses, to reflect major functional differences in hydrological processes and ecological function (Table 2 of Product 2.3, Ecosystems chapter). \n\n\n\n3. Classification of points (springs, waterholes, waterfalls and point-based economic receptors)\n\n\n\nIn the absence of adequate spatial datasets defining location of springs, waterholes and waterfalls, these were classified based on their occurrence in the Assets register (Table 3 of Product 2.3, Ecosystems chapter). \n\n\n\n4. Landscape classification\n\n\n\nLandscape classification allows geographical areas to be delineated into classes that are similar in physical and/or biological and hydrological character. Forty-four landscape classes were defined for the Clarence-Moreton PAE (Table 4 of Product 2.3, Ecosystems chapter). For the water regime classes (other than 'springs and waterholes; waterfalls'), these landscape classes are a function of the four geological and four terrain 'types' defined in Table 1 of Product 2.3, Ecosystems chapter, and resulted in 24 landscape classes. The importance of geology as the main landscape-forming driver is discussed in the geology section (within Product 2.3) and Section 2.3.3.1. Terrain exerts a strong influence on morphology, flow patterns and associated biota. The slope thresholds from the Australian National Aquatic Ecosystems (ANAE) classification framework for the Murray-Darling Basin, based on the Stein Index (Brooks et al., 2014), were used to determine the four terrain types- lowland, low energy upland, high energy upland, and transitional environments. \n\n\n\nHydrological features were classified according to their position in the terrain and whether they were a moving or still body of water as well as their permanency. \n\n\n\nModified landscapes are mostly cleared of natural vegetation and are used for agricultural or other human-intended purposes. These were classified into "dryland agriculture" or "irrigated agriculture" (BRS 2009; DSITIA 2014 ). They were acquired from the latest land use data (BRS 2009; DSITISA 2014). Natural vegetation areas were delineated into major vegetation classes based on structure (especially height and cover), growth form and floristic composition (vascular plant species) in the dominant stratum of each vegetation type (Department of the Environment and Water Resources, 2007). It was also delineated between wet and dry sclerophyll forest. Groundwater-dependent ecosystems (GDEs) are vegetation communities that access groundwater on a permanent or intermittent basis (DSITIA 2015). They occur within the main vegetation classes, where groundwater is close to the surface and accessible. Groundwater-dependency was specifically considered through the spatial intersection of GDEs in the Assets register with the vegetation landscape classes, thus resulting in an associated GDE landscape class for each vegetation landscape class.\n\n\n\nDerivation of landscape classes was essentially a process of joining different input datasets to create an output polygon dataset representing all landscape classes. Decisions were made at different points during the process about simplification of data (eg. elimination of small polygons), prioritisation of landscape classes when there was overlap of two or more landscape classes, and improvement of data. How to proceed in these instances was based on an understanding of the quality of the input data (spatial accuracy, spatial resolution, attribute accuracy, currency) combined with an understanding both of the requirements of the output land classification for subsequent receptor analysis and of the CLM PAE landscape. Improvement of data (eg. to code missing areas or re-code existing attributes) relied on the use of supplementary contextual data - maps, satellite imagery, reports or other 'contextual' datasets. Improvement was necessary particularly when defining the polygon water regime classes, where it was found that features and/or attributes within the dataset: 9ff7ab58-2e30-4268-bdf3-bc8aa72aa940 did not adequately cover all relevant aquatic features. \n\n\n\nWhile areal representation across the landscape is 'true' for most landscape classes, the area of landscape classes derived from line and point input datasets (stream, river, tidal river, 'waterfalls', and 'springs and waterholes' landscape classes) does not represent real width of these features in most cases, due to the treatment of these during processing - see section 2.3.3.1 of Product 2.3, Ecosystems chapter, for further details.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2015) Land classification for the Clarence-Moreton preliminary assessment extent. Bioregional Assessment Derived Dataset. Viewed 10 July 2017, http://data.bioregionalassessments.gov.au/dataset/a1d97959-d0f9-4deb-ab9b-af88120efd07.\n\n## **Dataset Ancestors** \n\n* **Derived From** [QLD Dept of Natural Resources and Mines, Groundwater Entitlements 20131204](https://data.gov.au/data/dataset/fd59894f-06b0-4c6f-9029-488934cfa7ba)\n\n* **Derived From** [Combined Surface Waterbodies for the Clarence-Moreton bioregion](https://data.gov.au/data/dataset/9ff7ab58-2e30-4268-bdf3-bc8aa72aa940)\n\n* **Derived From** [Queensland QLD - Regional - NRM - Water Asset Information Tool - WAIT - databases](https://data.gov.au/data/dataset/675afffd-5f42-49f0-9e24-9d6cca41621e)\n\n* **Derived From** [Version 02 Asset list for Clarence Morton 8/8/2014 - ERIN ORIGINAL DATA](https://data.gov.au/data/dataset/1f9e74b4-a3b7-4693-acb7-ae29653b6392)\n\n* **Derived From** [Asset database for the Clarence-Moreton bioregion on 11 December 2014, minor version v20150603](https://data.gov.au/data/dataset/248361ac-2495-4228-a4e4-e3c6cabf7433)\n\n* **Derived From** [NSW Office of Water Surface Water Entitlements Locations v1_Oct2013](https://data.gov.au/data/dataset/fc872710-998e-4c76-8b98-1df383c53de6)\n\n* **Derived From** [Matters of State environmental significance (version 4.1), Queensland](https://data.gov.au/data/dataset/ef6b54d9-6a1f-44cc-bf8c-ca3de4818a0f)\n\n* **Derived From** [Geofabric Surface Network - V2.1](https://data.gov.au/data/dataset/ed3acf9b-888c-4d53-b376-ecab89781651)\n\n* **Derived From** [Communities of National Environmental Significance Database - RESTRICTED - Metadata only](https://data.gov.au/data/dataset/c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)\n\n* **Derived From** [National Groundwater Dependent Ecosystems (GDE) Atlas](https://data.gov.au/data/dataset/e358e0c8-7b83-4179-b321-3b4b70df857d)\n\n* **Derived From** [CLM - 16swo NSW Office of Water Surface Water Offtakes - Clarence Moreton v1 24102013](https://data.gov.au/data/dataset/2b672f0a-9ca1-455d-b96f-9fe3d2d97bdb)\n\n* **Derived From** [Australia World Heritage Areas](https://data.gov.au/data/dataset/4927789b-7ba7-4a77-b6fc-be1b29b6590c)\n\n* **Derived From** [National Groundwater Information System (NGIS) v1.1](https://data.gov.au/data/dataset/e157b1cd-3cb7-4cf9-a13c-a6bed576b8c7)\n\n* **Derived From** [Mitchell Landscapes NSW OEH v3 2011](https://data.gov.au/data/dataset/e64597db-453c-46be-a352-360b775d2852)\n\n* **Derived From** [Australia - Present Major Vegetation Groups - NVIS Version 4.1 (Albers 100m analysis product)](https://data.gov.au/data/dataset/57c8ee5c-43e5-4e9c-9e41-fd5012536374)\n\n* **Derived From** [Queensland QLD Regional CMA Water Asset Information WAIT tool databases RESTRICTED Includes ALL Reports](https://data.gov.au/data/dataset/aad90a9c-0101-4a44-af07-9eb458cb5e37)\n\n* **Derived From** [Queensland wetland data version 3 - wetland areas.](https://data.gov.au/data/dataset/2a187a00-b01e-4097-9ca4-c9683e7f4786)\n\n* **Derived From** [Queensland wetland data version 3 - wetland areas - WETCLASS: E, L, M, P, R](https://data.gov.au/data/dataset/421fa3ce-36c6-4932-8ec7-2b9bf78acf63)\n\n* **Derived From** [South East Queensland GDE (draft)](https://data.gov.au/data/dataset/3b523838-d2a0-4cdc-a792-8ff38d4651ab)\n\n* **Derived From** [Natural Resource Management (NRM) Regions 2010](https://data.gov.au/data/dataset/1d54e38f-4051-4f0c-a350-c7dbd8eba65b)\n\n* **Derived From** [Asset database for the Clarence-Moreton bioregion on 19 August 2015.](https://data.gov.au/data/dataset/e265e9cf-b3a3-474c-850b-db4616389a24)\n\n* **Derived From** [Version 01 Asset list for Clarence Morton 10/3/2014 - ERIN ORIGINAL DATA](https://data.gov.au/data/dataset/7315f0b8-b9a4-4393-a659-f114a77f5918)\n\n* **Derived From** [National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)](https://data.gov.au/data/dataset/6dbaee0d-8813-46b1-9c13-1b796e7ed3bf)\n\n* **Derived From** [Australia - Species of National Environmental Significance Database](https://data.gov.au/data/dataset/4eff885b-0d68-45e8-b4b1-e3e5448354eb)\n\n* **Derived From** [QLD Dept of Natural Resources and Mines, Groundwater Entitlements linked to bores v3 03122014](https://data.gov.au/data/dataset/68bbd3fb-6e2a-4088-a3dd-55cc44c2f0d6)\n\n* **Derived From** [Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only)](https://data.gov.au/data/dataset/7276dd93-cc8c-4c01-8df0-cef743c72112)\n\n* **Derived From** [QLD Dept of Natural Resources and Mines, Surface Water Entitlements 131204](https://data.gov.au/data/dataset/fc8366ad-46d8-463a-aa79-8e1679a74f1a)\n\n* **Derived From** [GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)](https://data.gov.au/data/dataset/96ebf889-f726-4967-9964-714fb57d679b)\n\n* **Derived From** [Ramsar Wetlands of Australia](https://data.gov.au/data/dataset/d65cc156-944d-4961-bfba-eacfd61db63a)\n\n* **Derived From** [CLM - Bore allocations QLD v02](https://data.gov.au/data/dataset/1992e8a9-4f09-4048-9725-7d03ed228751)\n\n* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)\n\n* **Derived From** [NSW Catchment Management Authority Boundaries 20130917](https://data.gov.au/data/dataset/0dc4272e-c081-4ed4-9645-aa336ffacd85)\n\n* **Derived From** [Geological Provinces - Full Extent](https://data.gov.au/data/dataset/0a064b3b-2a1e-4672-80d9-03333be67aad)\n\n* **Derived From** [Geofabric Surface Cartography - V2.1](https://data.gov.au/data/dataset/5342c4ba-f094-4ac5-a65d-071ff5c642bc)\n\n* **Derived From** [Commonwealth Heritage List Spatial Database (CHL)](https://data.gov.au/data/dataset/57720684-4948-45db-a2c8-37259d531d87)\n\n* **Derived From** [CLM16swo NSW Office of Water Surface Water Offtakes processed for Clarence Moreton v2 06032014](https://data.gov.au/data/dataset/e63cc5fd-b3f7-4dad-a9a7-d93ac361beb8)\n\n* **Derived From** [CLM16gwl NSW Office of Water, GW licence extract linked to spatial locations in CLM v2 28022014](https://data.gov.au/data/dataset/ed68451f-8e24-4fed-988d-0aef12a997ee)\n\n* **Derived From** [Bioregional Assessment areas v03](https://data.gov.au/data/dataset/96dbf469-5463-4f4d-8fad-4214c97e5aac)\n\n* **Derived From** [Northern Rivers CMA GDEs (DRAFT DPI pre-release)](https://data.gov.au/data/dataset/ac1bd285-5f50-46e2-bc04-b21e8e182a62)\n\n* **Derived From** [Groundwater Bores Without Licence NGIS QLD CLM 20150211](https://data.gov.au/data/dataset/e1e14c60-480e-4f91-85dc-1b1a7de9fc82)\n\n* **Derived From** [National Heritage List Spatial Database (NHL) (v2.1)](https://data.gov.au/data/dataset/26daa8d7-a90e-47f3-982b-0df362414e65)\n\n* **Derived From** [Asset database for the Clarence-Moreton bioregion on 11 December 2014, minor version v20150220](https://data.gov.au/data/dataset/5c6ea1a6-bc86-4231-b233-00b87cef6254)\n\n* **Derived From** [QLD DNRM Licence Locations Linked to Cadastre Plan - v1 - 20140307](https://data.gov.au/data/dataset/bf1085d8-9752-4533-a65a-820a020907db)\n\n* **Derived From** [NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions](https://data.gov.au/data/dataset/24157c41-c42f-4e1f-a791-a1ad18c8215d)\n\n* **Derived From** [CLM16swo NSW Office of Water Surface Water Offtakes processed for Clarence Moreton v3 12032014](https://data.gov.au/data/dataset/715a405b-dc50-46ca-9704-1f698e5b66fc)\n\n* **Derived From** [Multi-resolution Valley Bottom Flatness MrVBF at three second resolution CSIRO 20000211](https://data.gov.au/data/dataset/7dfc93bb-62f3-40a1-8d39-0c0f27a83cb3)\n\n* **Derived From** [Multi-resolution Ridge Top Flatness at 3 second resolution CSIRO 20000211](https://data.gov.au/data/dataset/d29afa3d-2b3e-41c1-8c3f-e1b2500f16cc)\n\n* **Derived From** [New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports](https://data.gov.au/data/dataset/a2a929ea-2cb3-42ab-86b9-87deac68acae)\n\n* **Derived From** [Biodiversity status of pre-clearing and remnant regional ecosystems - South East Qld](https://data.gov.au/data/dataset/9b7bcebf-8b7f-4fb4-bc91-d39f1bd960cb)\n\n* **Derived From** [CLM Preliminary Assessment Extent Definition & Report( CLM PAE)](https://data.gov.au/data/dataset/2cdd0e81-026e-4a41-87b0-ec003eddc5c1)\n\n* **Derived From** [New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases](https://data.gov.au/data/dataset/330532aa-66ba-44f5-984b-8a21a99661a0)\n\n* **Derived From** [Catchment Scale Land Use of Australia - 2014](https://data.gov.au/data/dataset/6f72f73c-8a61-4ae9-b8b5-3f67ec918826)\n\n* **Derived From** [CLM16gwl NSW Office of Water Groundwater Licence Extract Clarence Moreton- Oct 2013](https://data.gov.au/data/dataset/d9bd77b6-5bc3-4832-a212-0e8f5ba48076)\n\n* **Derived From** [CLM16gwl NSW Office of Water_GW licence extract linked to spatial locations_CLM_v3_13032014](https://data.gov.au/data/dataset/4b0e74ed-2fad-4608-a743-92163e13c30d)\n\n* **Derived From** [Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)](https://data.gov.au/data/dataset/7b649c6d-fdbf-40e3-b002-db521665af53)\n\n* **Derived From** [QLD Petroleum Leases, 28/11/2013](https://data.gov.au/data/dataset/aac9dbce-f98b-4b95-9a04-d5a5f405d409)\n\n* **Derived From** [Stein Index Classification for Streams National 20150513](https://data.gov.au/data/dataset/8915d14d-7c22-404a-ba11-07f0c25fd177)\n\n* **Derived From** [Bioregional Assessment areas v01](https://data.gov.au/data/dataset/0fd0d820-30b3-451f-a126-a50040426999)\n\n* **Derived From** [Bioregional Assessment areas v02](https://data.gov.au/data/dataset/e414b1b3-c42e-42e9-9cc4-2093054aa35f)\n\n* **Derived From** [Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal](https://data.gov.au/data/dataset/878f6780-be97-469b-8517-54bd12a407d0)\n\n* **Derived From** [QLD Current Exploration Permits for Minerals (EPM) in Queensland 6/3/2013](https://data.gov.au/data/dataset/5d8c8f5c-7ace-40ce-87ce-0b311b028c10)\n\n* **Derived From** [NSW Office of Water Groundwater Entitlements Spatial Locations](https://data.gov.au/data/dataset/0f4da0d0-9e82-42f3-84da-1148e0b730c1)\n\n* **Derived From** [Birds Australia - Important Bird Areas (IBA) 2009](https://data.gov.au/data/dataset/5d488350-83b6-4e71-8d17-687ad8ff9941)\n\n* **Derived From** [Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public)](https://data.gov.au/data/dataset/6636846e-e330-4110-afbb-7b89491fe567)\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\n* **Derived From** [QLD DNRM Surface Water Licences linked to Spatial Locations - v1 20140313](https://data.gov.au/data/dataset/caf51590-ad61-492d-87b6-89fc95ff842a)\n\

Asset database for the Hunter subregion on 27 August 2015

Author
Publication venue: data.gov.au
Publication date
Field of study

## **Abstract** \n\n\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 dataset supersedes the previous version (Asset database for the Hunter subregion on 20 July 2015; GUID = 35bc515e-581a-4a7f-ae2a-c0b62b2c9169).\n\n\n\nThe Asset database is registered to the BA repository as an ESRI personal goedatabase (.mdb - doubling as a MS Access database) that can store, query, and manage non-spatial data while the spatial data is in a separate file geodatabase joined by AID/ElementID. \n\n\n\nUnder the BA program, a spatial assets database is developed for each defined bioregional assessment project. The spatial elements that underpin the identification of water dependent assets are identified in the first instance by regional NRM organisations (via the WAIT tool) and supplemented with additional elements from national and state/territory government datasets. A report on the WAIT process for the Hunter is included in the zip file as part of this dataset. \n\n\n\nElements are initially included in the preliminary assets database if they are partly or wholly within the subregion's preliminary assessment extent (Materiality Test 1, M1). Elements are then grouped into assets which are evaluated by project teams to determine whether they meet the second Materiality Test (M2). Assets meeting both Materiality Tests comprise the water dependent asset list. Descriptions of the assets identified in the Hunter subregion are found in the "AssetList" table of the database. \n\n\n\nAssets are the spatial features used by project teams to model scenarios under the BA program. Detailed attribution does not exist at the asset level. Asset attribution includes only the core set of BA-derived attributes reflecting the BA classification hierarchy, as described in Appendix A of " HUN_asset_database_doc_20150827.doc", located in this file.\n\n\n\nThe "Element_to_Asset" table contains the relationships and identifies the elements that were grouped to create each asset.\n\n\n\nDetailed information describing the database structure and content can be found in the document " HUN_asset_database_doc_20150827.doc" located in this file.\n\n\n\nSome of the source data used in the compilation of this dataset is restricted.\n\n## **Dataset History** \n\nVersionID\tDate_\tNotes\n\n1\t29/08/2014\tInitial database.\n\n1.1\t16/09/2014\tUpdate the classification for seven identical assets from Gloucester subregion\n\n1.2\t28/01/2015\tAdded in NSW GDEs from Hunter - Central Rivers GDE mapping from NSW DPI (50 635 polygons).\n\n1.3\t12/02/2015\tNew AIDs assiged to NSW GDE assets (Existing AID + 20000) to avoid duplication of AIDs assigned in other databases.\n\n1.4\t16/06/2015\t"(1) Add 20 additional datasets required by HUN assessment project team after HUN community workshop \n\n(2) Turn off previous GW point assets (AIDs from 7717-7810 inclusive) \n\n(3) Turn off new GW point asset (AID: 0)\n\n(4) Assets (AIDs: 8023-8026) are duplicated to 4 assets (AID: 4747,4745,4744,4743 respectively) in NAM subregion . Their AID, Asset Name, Group, SubGroup, Depth, Source, ListDate and Geometry are using values from that NAM assets.\n\n(5) Asset (AID 8595) is duplicated to 1 asset ( AID 57) in GLO subregion . Its AID, Asset Name, Group, SubGroup, Depth, Source, ListDate and Geometry are using values from that GLO assets.\n\n(6) 39 assets (AID from 2969 to 5040) are from NAM Asset database and their attributes were updated to use the latest attributes from NAM asset database \n\n(7)The databases, especially spatial database, were changed such as duplicated attributes fields in spatial data were removed and only ID field is kept. The user needs to join the Table Assetlist or Elementlist to the spatial data"\n\n\n\n2\t20/07/2015\t"(1) Updated 131 new GW point assets with previous AID and some of them may include different element number due to the change of 77 FTypes requested by Hunter assessment project team\n\n(2) Added 104 EPBC assets, which were assessed and excluded by ERIN\n\n(3) Merged 30 Darling Hardyhead assets to one (asset AID 60140) and deleted another 29 \n\n(4) Turned off 5 assets from community workshop (60358 - 60362) as they are duplicated to 5 assets from 104 EPBC excluded assets\n\n(5) Updated M2 test results\n\n(6)Asset Names (AID: 4743 and 4747) were changed as requested by Hunter assessment project team (4 lower cases to 4 upper case only). Those two assets are from Namoi asset database and their asset names may not match with original names in Namoi asset database.\n\n(7)One NSW WSP asset (AID: 60814) was added in as requested by Hunter assessment project team. The process method (without considering 1:M relation) for this asset is not robust and is different to other NSW WSP assets. It should NOT use for other subregions. \n\n(8) Queries of Find_All_Used_Assets and Find_All_WD_Assets in the asset database can be used to extract all used assets and all water dependent assets"\n\n\n\n2.1\t27/08/2015\t"(1) There are following six assets (in Hun subregion), which is same as 6 assets in GIP subregion. Their AID, Asset Name, Group, SubGroup, Depth, Source and ListDate are using values from GIP assets. You will not see AIDs from AID_from_HUN in whole HUN asset datable and spreadsheet anymore and you only can see AIDs from AID_from_GIP ( Actually (a) AID 11636 is GIP got from MBC (B) only AID, Asset Name and ListDate are different and changed)\n\n (2) For BA-NSB-HUN-130-WaterDependentAssetRegister-AssetList-V20150827.xlsx, (a) Extracted long ( >255 characters) WD rationale for 19 assets (AIDs: 8682,9065,9073,9087,9088,9100,9102,9103,60000,60001,60792,60793,60801,60713,60739,60751,60764,60774,60812 ) in tab "Water-dependent asset register" and 37 assets (AIDs: 5040,8651,8677,8682,8650,8686,8687,8718,8762,9094,9065,9067,9073,9077,9081,9086,9087,9088,9100,9102,9103,60000,60001,60739,60742,60751,60713,60764,60771,60774,60792,60793,60798,60801,60809,60811,60812) in tab "Asset list" in 1.30 Excel file (b) recreated draft BA-NSB-HUN-130-WaterDependentAssetRegister-AssetList-V20150827.xlsx \n\n(3) Modified queries (Find_All_Asset_List and Find_Waterdependent_asset_register) for (2)(a)\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2015) Asset database for the Hunter subregion on 27 August 2015. Bioregional Assessment Derived Dataset. Viewed 13 March 2019, http://data.bioregionalassessments.gov.au/dataset/9e1c414c-1752-4bd8-83ff-c137b7d9f9ce.\n\n## **Dataset Ancestors** \n\n* **Derived From** [NSW Wetlands](https://data.gov.au/data/dataset/90476e12-77a2-4970-a0be-942eeb84e95e)\n\n* **Derived From** [NSW Office of Water Surface Water Entitlements Locations v1_Oct2013](https://data.gov.au/data/dataset/fc872710-998e-4c76-8b98-1df383c53de6)\n\n* **Derived From** [Travelling Stock Route Conservation Values](https://data.gov.au/data/dataset/198900d5-0d06-4bd0-832b-e30a7c4e8873)\n\n* **Derived From** [Darling River Hardyhead Predicted Distribution in Hunter River Catchment NSW 2015](https://data.gov.au/data/dataset/643c6228-6435-4f5a-9f09-5f53efe234d2)\n\n* **Derived From** [Climate Change Corridors Coastal North East NSW](https://data.gov.au/data/dataset/0a1b4dc6-07a4-4f2b-acc2-000eed75db22)\n\n* **Derived From** [Communities of National Environmental Significance Database - RESTRICTED - Metadata only](https://data.gov.au/data/dataset/c01c4693-0a51-4dbc-bbbd-7a07952aa5f6)\n\n* **Derived From** [Climate Change Corridors for Nandewar and New England Tablelands](https://data.gov.au/data/dataset/d480bd52-c46a-41ae-bab8-0e8d7620160b)\n\n* **Derived From** [National Groundwater Dependent Ecosystems (GDE) Atlas](https://data.gov.au/data/dataset/e358e0c8-7b83-4179-b321-3b4b70df857d)\n\n* **Derived From** [Hunter CMA GDEs (DRAFT DPI pre-release)](https://data.gov.au/data/dataset/469d6d2e-900f-47a7-a137-946b89b3d188)\n\n* **Derived From** [Estuarine Macrophytes of Hunter Subregion NSW DPI Hunter 2004](https://data.gov.au/data/dataset/fb7bf5a0-f0e3-429b-9b54-0d4b58fb49c2)\n\n* **Derived From** [Birds Australia - Important Bird Areas (IBA) 2009](https://data.gov.au/data/dataset/5d488350-83b6-4e71-8d17-687ad8ff9941)\n\n* **Derived From** [Camerons Gorge Grassy White Box Endangered Ecological Community (EEC) 2008](https://data.gov.au/data/dataset/cc77d836-86d3-429d-b0ab-1599cff00414)\n\n* **Derived From** [NSW Office of Water Surface Water Licences Processed for Hunter v1 20140516](https://data.gov.au/data/dataset/25d233eb-dbc4-4ca3-b200-1d1df2b5126c)\n\n* **Derived From** [Threatened migratory shorebird habitat mapping DECCW May 2006](https://data.gov.au/data/dataset/cc0b62a0-ded7-4c14-b954-1552337b395e)\n\n* **Derived From** [Gosford Council Endangered Ecological Communities (Umina woodlands) EEC3906](https://data.gov.au/data/dataset/485b84ef-7f56-40b3-bf25-5ba359dd4623)\n\n* **Derived From** [NSW Office of Water Surface Water Offtakes - Hunter v1 24102013](https://data.gov.au/data/dataset/d94064ab-6d03-4a40-9484-1579afa9269b)\n\n* **Derived From** [National Groundwater Dependent Ecosystems (GDE) Atlas (including WA)](https://data.gov.au/data/dataset/6dbaee0d-8813-46b1-9c13-1b796e7ed3bf)\n\n* **Derived From** [Asset list for Hunter - CURRENT](https://data.gov.au/data/dataset/51b1e021-2958-4cd3-8daa-ba46ece09d1c)\n\n* **Derived From** [Species Profile and Threats Database (SPRAT) - Australia - Species of National Environmental Significance Database (BA subset - RESTRICTED - Metadata only)](https://data.gov.au/data/dataset/7276dd93-cc8c-4c01-8df0-cef743c72112)\n\n* **Derived From** [Ramsar Wetlands of Australia](https://data.gov.au/data/dataset/d65cc156-944d-4961-bfba-eacfd61db63a)\n\n* **Derived From** [Native Vegetation Management (NVM) - Manage Benefits](https://data.gov.au/data/dataset/b299e256-1d37-4f89-8c51-93567ebf3753)\n\n* **Derived From** [Commonwealth Heritage List Spatial Database (CHL)](https://data.gov.au/data/dataset/57720684-4948-45db-a2c8-37259d531d87)\n\n* **Derived From** [Groundwater Economic Elements Hunter NSW 20150520 PersRem v02](https://data.gov.au/data/dataset/7174b44f-7146-4b70-a77f-b55c989a3278)\n\n* **Derived From** [Atlas of Living Australia NSW ALA Portal 20140613](https://data.gov.au/data/dataset/cb420b33-b828-40fe-a844-7fdbe828d4d6)\n\n* **Derived From** [Spatial Threatened Species and Communities (TESC) NSW 20131129](https://data.gov.au/data/dataset/a6664894-1489-46d1-a6ca-16f9ab519a28)\n\n* **Derived From** [National Heritage List Spatial Database (NHL) (v2.1)](https://data.gov.au/data/dataset/26daa8d7-a90e-47f3-982b-0df362414e65)\n\n* **Derived From** [GW Element Bores with Unknown FTYPE Hunter NSW Office of Water 20150514](https://data.gov.au/data/dataset/e8b6a2f3-2951-4cdd-9570-871441120e02)\n\n* **Derived From** [Climate Change Corridors (Dry Habitat) for North East NSW](https://data.gov.au/data/dataset/8871574a-62ac-4b59-9cc3-bc991a6abd57)\n\n* **Derived From** [Groundwater Entitlement Hunter NSW Office of Water 20150324](https://data.gov.au/data/dataset/19697f0a-4513-42a4-a7ce-4e00f48a715a)\n\n* **Derived From** [Asset database for the Hunter subregion on 20 July 2015](https://data.gov.au/data/dataset/35bc515e-581a-4a7f-ae2a-c0b62b2c9169)\n\n* **Derived From** [NSW Office of Water combined geodatabase of regulated rivers and water sharing plan regions](https://data.gov.au/data/dataset/24157c41-c42f-4e1f-a791-a1ad18c8215d)\n\n* **Derived From** [Asset database for the Hunter subregion on 16 June 2015](https://data.gov.au/data/dataset/24f007de-94e1-4a50-b8e8-46d5cceb5c66)\n\n* **Derived From** [Australia World Heritage Areas](https://data.gov.au/data/dataset/4927789b-7ba7-4a77-b6fc-be1b29b6590c)\n\n* **Derived From** [Lower Hunter Spotted Gum Forest EEC 2010](https://data.gov.au/data/dataset/5a8f525b-d602-4120-99a3-900fc05180e7)\n\n* **Derived From** [New South Wales NSW Regional CMA Water Asset Information WAIT tool databases, RESTRICTED Includes ALL Reports](https://data.gov.au/data/dataset/a2a929ea-2cb3-42ab-86b9-87deac68acae)\n\n* **Derived From** [Fauna Corridors for North East NSW](https://data.gov.au/data/dataset/c8b21575-8003-41ba-bb7e-378c2eb3486d)\n\n* **Derived From** [NSW Office of Water - GW licence extract linked to spatial locations for North and South Sydney v2 20140228](https://data.gov.au/data/dataset/0e6034bc-7a91-46c9-80e0-0e3330a0b7da)\n\n* **Derived From** [HUN AssetList Database v1p2 20150128](https://data.gov.au/data/dataset/64ecd565-bb7c-4f21-951e-f35966b91c99)\n\n* **Derived From** [New South Wales NSW - Regional - CMA - Water Asset Information Tool - WAIT - databases](https://data.gov.au/data/dataset/330532aa-66ba-44f5-984b-8a21a99661a0)\n\n* **Derived From** [Climate Change Corridors (Moist Habitat) for North East NSW](https://data.gov.au/data/dataset/f8445d2e-ec1f-4f5a-99cc-7f90d1f96103)\n\n* **Derived From** [Operating Mines OZMIN Geoscience Australia 20150201](https://data.gov.au/data/dataset/65c0c042-1ba8-47a8-9793-4363672500b9)\n\n* **Derived From** [NSW Office of Water - National Groundwater Information System 20141101v02](https://data.gov.au/data/dataset/6c364d09-fc3b-47c3-aa98-6c702d3d8137)\n\n* **Derived From** [Groundwater Economic Assets Hunter NSW 20150331 PersRem](https://data.gov.au/data/dataset/ca620380-3d67-43bb-811a-3cafdf41056a)\n\n* **Derived From** [Australia - Species of National Environmental Significance Database](https://data.gov.au/data/dataset/4eff885b-0d68-45e8-b4b1-e3e5448354eb)\n\n* **Derived From** [Monitoring Power Generation and Water Supply Bores Hunter NOW 20150514](https://data.gov.au/data/dataset/055adb26-5b43-451c-ad21-c9063f1d5aed)\n\n* **Derived From** [Northern Rivers CMA GDEs (DRAFT DPI pre-release)](https://data.gov.au/data/dataset/ac1bd285-5f50-46e2-bc04-b21e8e182a62)\n\n* **Derived From** [NSW Office of Water GW licence extract linked to spatial locations for NorthandSouthSydney v3 13032014](https://data.gov.au/data/dataset/6860cabb-372d-40c8-9ae8-f097021d35ef)\n\n* **Derived From** [Australia, Register of the National Estate (RNE) - Spatial Database (RNESDB) Internal](https://data.gov.au/data/dataset/878f6780-be97-469b-8517-54bd12a407d0)\n\n* **Derived From** [Asset database for the Hunter subregion on 12 February 2015](https://data.gov.au/data/dataset/dcf8349e-aaed-4d30-80ab-1c8cbad8fe68)\n\n* **Derived From** [NSW Office of Water Groundwater Entitlements Spatial Locations](https://data.gov.au/data/dataset/0f4da0d0-9e82-42f3-84da-1148e0b730c1)\n\n* **Derived From** [NSW Office of Water Groundwater Licence Extract, North and South Sydney - Oct 2013](https://data.gov.au/data/dataset/b48f941e-b557-411f-aebd-e3c463b60614)\n\n* **Derived From** [Directory of Important Wetlands in Australia (DIWA) Spatial Database (Public)](https://data.gov.au/data/dataset/6636846e-e330-4110-afbb-7b89491fe567)\n\n* **Derived From** [Collaborative Australian Protected Areas Database (CAPAD) 2010 (Not current release)](https://data.gov.au/data/dataset/7b649c6d-fdbf-40e3-b002-db521665af53)\n\

NSW Office of Water GW licence extract linked to spatial locations GLOv4 UID 14032014

Author
Publication venue: data.gov.au
Publication date
Field of study

## **Abstract** \n\nThis dataset was derived from data provided by the NSW Office of Water. You can find a link to the source dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.\n\nThe difference between NSW Office of Water GW licences - GLO v3 and v4 is that an unique ID has been added to the dataset. This is so it can be ingested into the asset database.\n\n\n\n\n\n\n\nThe aim of this dataset was to be able to map each groundwater works with the volumetric entitlement without double counting the volume and to aggregate/ disaggregate the data depending on the final use.\n\n\n\nThis has not been clipped to the Gloucester PAE, therefore the number of economic assets/ relevant licences will drastically reduce once this occurs.\n\n## **Dataset History** \n\nThe difference between NSW Office of Water GW licences - GLO v3 and v4 is that an unique ID has been added to the dataset. This is so it can be ingested into the asset database.\n\n\n\n\n\nData has not been clipped to the PAE.\n\n\n\nNo volume has been included for domestic & stock as it is a basic right. Therefore an arbitrary volume could be applied to account for D&S use.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2014) NSW Office of Water GW licence extract linked to spatial locations GLOv4 UID 14032014. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/98341388-5705-4c42-9f7a-186e16647614.\n\n## **Dataset Ancestors** \n\n* **Derived From** [NSW Office of Water Groundwater Entitlements Spatial Locations](https://data.gov.au/data/dataset/0f4da0d0-9e82-42f3-84da-1148e0b730c1)\n\n* **Derived From** [NSW Office of Water Groundwater licence extract linked to spatial locations GLOv2 19022014](https://data.gov.au/data/dataset/38c9e2c9-02ac-45a8-a188-936f91a58391)\n\n* **Derived From** [NSW Office of Water Groundwater Licence Extract Gloucester - Oct 2013](https://data.gov.au/data/dataset/56a49393-abaa-43f2-8b7d-97c5d414c1cf)\n\n* **Derived From** [NSW Office of Water GW licence extract linked to spatial locations GLOv3 12032014](https://data.gov.au/data/dataset/587c6834-09aa-4cd8-8972-5632880f5ae5)\n\

Threatened Migratory Shorebird Mapping NSW DECCW 2006

Author
Publication venue: data.gov.au
Publication date
Field of study

## **Abstract** \n\nThis dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details.\n\n\n\nOriginally digitised very poorly, this dataset has been fixed as much as posssible. Important feeding habitats and roosting sites for seven species of migratory shorebirds (waders) were plotted on GIS software using air photos as templates. Data for this process was obtained from a variety of sources to provide numbers of birds recorded at each of the sites. The habitat mapping was done from first hand experience in the field by the author and/or from local ornithologists with particular skills in shorebird identification and local knowledge of habitats used by shorebirds. The accuracy of the data plotted will not always match the topography, such as shoals, sand spits or shorelines because these are constantly changing (the air photos used are at least 10 years old).However this is the most precise shorebird mapping available.\n\n\n\nImportant feeding habitats and roosting sites for seven species of migratory shorebirds (waders) were plotted on GIS software using air photos as templates. Data for this process was obtained from a variety of sources to provide numbers of birds recorded at each of the sites. The habitat mapping was done from first hand experience in the field by the author and/or from local ornithologists with particular skills in shorebird identification and local knowledge of habitats used by shorebirds. The accuracy of the data plotted will not always match the topography, such as shoals, sand spits or shorelines because these are constantly changing (the air photos used are at least 10 years old). However this is the most precise shorebird mapping available. The coastline template provided by DEC was not of sufficient accuracy for the purpose of this project and has not been used in any of the maps other than to illustrate the whole of coast maps.\n\n\n\nData were sorted and any obvious errors removed before being used. Only data since 1990 has been used for the purpose of this report due to changes in habitats and population estimates over time. Habitat and species management can only be carried out using the most up to date data and habitat mapping. However as there are no regular population estimates for all coastal estuaries and some data over a 15 year period was used to provide a pattern of habitat usage by threatened migratory shorebirds for the whole coast. There has been no attempt to assess wetlands habitats away from the coast or estuarine habitats due to lack of data for inland sites. However the species concerned are largely coastal during their non-breeding seasons, when the birds are in Australia.\n\n\n\nThis project was commissioned by the Department of Environment and Conservation to identify and map all known shorebird feeding habitat and roost sites along coastal NSW, specifically that of the Sanderling Calidris alba, Great Knot Calidris tenuirostris, Greater Sand Plover Charadrius leschenaultii, Lesser Sand Plover Charadrius mongolus, Broad-billed Sandpiper Limicola falcinellus, Black-tailed Godwit Limosa limosa and Terek Sandpiper Xenus cinereus. The results of the project was a series of shape files and data files using Arcview 9.1 and Microsoft Excel-,compatible with those of the DEC Spatial Analysis & Information Section, to map GIS layers for:\n\n\n\nthe known feeding habitat of Sanderling, Great Knot, Greater Sand Plover, Lesser Sand Plover,\n\nBroad-billed Sandpiper, Black-tailed Godwit and Terek Sandpiper along the NSW coast;\n\nthe boundaries of key foraging sites of the above species along the NSW coast; and\n\nthe boundaries of roosting sites of the above species along the NSW coast.\n\n\n\nThis dataset has been provided to the BA Programme for use within the programme only. Third parties should contact the NSW Office of Environment & Heritage.\n\n## **Purpose** \n\nThe degree of accuracy of mapping is governed to a large extent on the maps and air photos that are used as a template. Although topographic maps are drawn from air photos the information on the map is what is interpreted by the person responsible for interpreting and plotting the information onto a map. The majority of shorebird habitat is subtidal and as a consequence of this is rarely mapped, unless it happens to be part of a major sand bar. Coastlines are largely delineated by the high tide mark. This in itself is variable depending on whether the tide is high at the time the photograph was taken and whether the tides are spring tides or neap tides at the time. Furthermore the accuracy of the coastline drawn depends on the dedication of the cartographer and at which scale the map is drawn. The coastline provided be DEC for this project is of little use fro drawing shape files to the degree of accuracy that would be required by local government and for drawing b\n\n## **Dataset History** \n\nMethods:\n\n\n\nAll existing data on shorebird distribution (foraging and roosting records) held by bird groups, specialists and DEC Wildlife Atlas were reviewed and updated where information was available and checked for inaccuracies. , Data was also updated where required as a result of changes to estuarine habitats through the use of aerial photography. Where necessary face to face meetings were arranged with relevant people to obtain input from other shorebird specialists, failing this communication was by phone or email.\n\n\n\nDigitised air photos provided by DEC were used to map all known shorebird foraging habitat and roost sites along the NSW coast, noting habitat utilised by threatened migratory shorebirds, specifically Sanderling, Great Knot, Greater Sand Plover, Lesser Sand Plover, Broad-billed Sandpiper, Black-tailed Godwit and Terek Sandpiper.\n\n## **Dataset Citation** \n\nNSW Department of Environment, Climate Change and Water (2010) Threatened Migratory Shorebird Mapping NSW DECCW 2006. Bioregional Assessment Source Dataset. Viewed 31 May 2018, http://data.bioregionalassessments.gov.au/dataset/92a85a3e-11e9-43cf-96d6-f8cd4fb65d03

Future Residential Growth Area

Author
Publication venue: data.gov.au
Publication date
Field of study

## **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\nFuture Residential Growth Area Land has been identified in planning instruments or Government-endorsed planning strategies. It is proposed that coal seam gas activities will be prohibited in and within two kilometres of these areas.\n\n\n\nInterested parties should go to http://www.planning.nsw.gov.au/en-au/planningyourregion/strategicregionallanduse/coalseamgasexclusionzones.aspx where they can find out more about CSG exclusion zones.\n\n## **Purpose** \n\nIt is proposed that coal seam gas activities will be prohibited in and within two kilometres of these areas.\n\n## **Dataset History** \n\nFuture Residential Growth Area Land has been identified in planning instruments or Government-endorsed planning strategies. It is proposed that coal seam gas activities will be prohibited in and within two kilometres of these areas.\n\n## **Dataset Citation** \n\nNSW Department of Planning and Infrastructure (2013) Future Residential Growth Area. Bioregional Assessment Source Dataset. Viewed 14 June 2018, http://data.bioregionalassessments.gov.au/dataset/8ebd6ca9-884a-4946-9d66-3c076211fd45

HUN Mine footprints for GW modelling with 4km buffer

Author
Publication venue: data.gov.au
Publication date
Field of study

GLO RMS Model 3D image v01

Author
Publication venue: data.gov.au
Publication date
Field of study

## **Abstract** \n\nThe dataset was derived by the Bioregional Assessment Programme. This dataset was derived from the Gloucester geological model. You can find a link to the parent dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.\n\n\n\nThe data set contains the image in JPG format exported from the RMS Model for the Gloucester Basin.The image shows the surface topography in 3D with well locations and the Basin boundary.\n\n## **Purpose** \n\nUsed to visualize the topographic surface used in the Gloucester geologic model.\n\n## **Dataset History** \n\nThe data set contains an image exported from the RMS model which uses the formatted three dimensional grid values built in the model. The model was built using data extracted from well completions reports published by mining companies and consultants which record the depth of various formations encountered during drilling works. These data were compiled into model input files (See data set: GLO Deep Well Locations and Depths of Formations V01 - e549473c-5b78-4279-8eeb-af86ca6522b3) used to build the RMS model.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (XXXX) GLO RMS Model 3D image v01. Bioregional Assessment Derived Dataset. Viewed 31 May 2018, http://data.bioregionalassessments.gov.au/dataset/8207c097-c560-467c-89c9-aa2fa951804e.\n\n## **Dataset Ancestors** \n\n* **Derived From** [GLO Deep Well Locations and Depths of Formations V01](https://data.gov.au/data/dataset/e549473c-5b78-4279-8eeb-af86ca6522b3)\n\n* **Derived From** [GLO Geological Model Extracted Horizons Final Grid XYZ V01](https://data.gov.au/data/dataset/18402b28-677e-45af-9860-067c258eea33)\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\n* **Derived From** [GLO DEM 1sec SRTM MGA56](https://data.gov.au/data/dataset/ca38ed31-e15d-4bb5-a7ef-0aeba3dad3f4)\n\n* **Derived From** [Gloucester Deep Wells Completion Reports - Geology](https://data.gov.au/data/dataset/0529ae9a-4d40-460d-b52a-fb0e5f646746)\n\

Asset database for the Gwydir subregion on 24 August 2015

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Publication venue: data.gov.au
Publication date
Field of study

GLO Landscape Classification 20161219 v05

Author
Publication venue: data.gov.au
Publication date
Field of study

## **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 dataset contains polygon and line shapefiles representing the Gloucester terrestrial (both a multipart and singlepart version) and riverine Landscape Classes respectively. It also contains KMZ exports of these features.\n\n\n\nNote: This differs from previous versions in that the extent was extended to the Gloucester AE boundary (previously the extent was to the PAE) so the discontinuous river lines that weaved in and out of the PAE boundary could be wholly included.\n\n\n\nThe polygon landscape Classes are as follows.\n\n\n\nTerrestrial (polygons)\n\nForrested Wetlands\n\nFreshwater Wetlands\n\nRainforests\n\nDry sclerophyll forests\n\nWet sclerophyll forests\n\nSaline wetlands\n\n(Non-GDE) Native vegetation\n\nPlantation or production forestry\n\nDryland agriculture\n\nIrrigated agriculture\n\nIntensive uses (includes mining)\n\n\n\nNote forestry that selectively logs native forests is included in the "(Non-GDE) Native vegetation" class rather than the economic "Plantation and production foresstry" class.\n\n## **Dataset History** \n\nThe terrestrial Landscape class polygons are sourced directly from the two input polygon source datasets and clipped to the Gloucester PAE.\n\n\n\nGDE landscape classes derive directly from the source NSW OoW GDE layer's Keith Form attribute, though the "Riverine Forests" Keith form are combined with the "Forested Wetlands" LC and the "Mangrove Swamps" and "Saltmarshes" Keith Forms are combined to form the "Saline Wetlands" LC . \n\n\n\nThe remaining non-GDE terrestrial LC polygons are mainly sourced from the ACLUM catchment landuse from the PRIMARY V7 classification, and retain the source class names except that "1 Conservation and natural environments" is rename the "non-GDE Native Vegtation" LC. A further exception is the "Plantation and Production Forestry" LC. This is derived from the SECONDARY_V7 classification where:\n\n\n\n"SecondV7" = '2.2 Production forestry' OR "SecondV7" = '3.1 Plantation forestry' OR "SecondV7" = '4.1 Irrigated plantation forestry'\n\n\n\nThe Riverine LC lines are derived directly from the Rivertypes source dataset\n\n\n\nNote for the 2016 March 9 IESC Deep Dive for GLO was necessary to tease out the Keith Forms of the "non-GDE native vegetaton" Landscape class in order to generate areal statistics for endangered species habitats. These were sourced from the Greater Hunter vegetation mapping. This sub-LC differentiation is retained in this dataset\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2016) GLO Landscape Classification 20161219 v05. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/70929f88-0799-46a5-9ee1-4d8852e89788.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Groundwater Dependent Ecosystems supplied by the NSW Office of Water on 13/05/2014](https://data.gov.au/data/dataset/1bdc6089-c114-4485-b962-35a8b3d2357f)\n\n* **Derived From** [Greater Hunter Native Vegetation Mapping with Classification for Mapping](https://data.gov.au/data/dataset/73abc2f6-1b8a-43a0-b458-c67ee4275edc)\n\n* **Derived From** [Bioregional Assessment areas v06](https://data.gov.au/data/dataset/54d7cc96-5129-450a-aef4-73197f9bc09d)\n\n* **Derived From** [Bioregional Assessment areas v04](https://data.gov.au/data/dataset/e8a2d577-c5c5-4e2c-b0fa-53e4b2d4a034)\n\n* **Derived From** [Bioregional Assessment areas v02](https://data.gov.au/data/dataset/e414b1b3-c42e-42e9-9cc4-2093054aa35f)\n\n* **Derived From** [Gippsland Project boundary](https://data.gov.au/data/dataset/27413de5-d13a-4231-ac79-fc77f4cbb5f7)\n\n* **Derived From** [Natural Resource Management (NRM) Regions 2010](https://data.gov.au/data/dataset/1d54e38f-4051-4f0c-a350-c7dbd8eba65b)\n\n* **Derived From** [GLO subregion boundaries for Impact and Risk Analysis 20160712 v01](https://data.gov.au/data/dataset/b1fa8214-ceec-47d8-b074-8539e94f728f)\n\n* **Derived From** [GEODATA TOPO 250K Series 3, File Geodatabase format (.gdb)](https://data.gov.au/data/dataset/96ebf889-f726-4967-9964-714fb57d679b)\n\n* **Derived From** [Bioregional_Assessment_Programme_Catchment Scale Land Use of Australia - 2014](https://data.gov.au/data/dataset/6f72f73c-8a61-4ae9-b8b5-3f67ec918826)\n\n* **Derived From** [GEODATA TOPO 250K Series 3](https://data.gov.au/data/dataset/a0650f18-518a-4b99-a553-44f82f28bb5f)\n\n* **Derived From** [Australian Geological Provinces, v02](https://data.gov.au/data/dataset/13ad6933-ee80-4c51-a97b-bac1e8bef16d)\n\n* **Derived From** [NSW Catchment Management Authority Boundaries 20130917](https://data.gov.au/data/dataset/0dc4272e-c081-4ed4-9645-aa336ffacd85)\n\n* **Derived From** [Geological Provinces - Full Extent](https://data.gov.au/data/dataset/0a064b3b-2a1e-4672-80d9-03333be67aad)\n\n* **Derived From** [GLO Preliminary Assessment Extent](https://data.gov.au/data/dataset/c0dba74a-feee-440f-a53a-ea31be8479a5)\n\n* **Derived From** [Australian Coal Basins](https://data.gov.au/data/dataset/9d5a8d74-a201-42bd-9d49-3c392244be16)\n\n* **Derived From** [Gloucester River Types v01](https://data.gov.au/data/dataset/4949961d-be38-4d42-9aec-5dfec55fed7b)\n\n* **Derived From** [Bioregional Assessment areas v03](https://data.gov.au/data/dataset/96dbf469-5463-4f4d-8fad-4214c97e5aac)\n\n* **Derived From** [Bioregional Assessment areas v05](https://data.gov.au/data/dataset/25f89049-839d-4736-bd81-97d8e8a40f8e)\n\n* **Derived From** [BA ALL mean annual flow for NSW - Choudhury implementation of Budyko runoff v01](https://data.gov.au/data/dataset/b20d185f-3d22-4b5d-be87-89ce13505ce7)\n\n* **Derived From** [Gloucester river types V02](https://data.gov.au/data/dataset/0b1243c5-2cab-4675-b3f5-6b920daf377b)\n\n* **Derived From** [Gloucester Coal Basin](https://data.gov.au/data/dataset/a451ad06-e6a9-48bd-ba83-c0a4d191a1f4)\n\n* **Derived From** [Greater Hunter Native Vegetation Mapping](https://data.gov.au/data/dataset/8f575981-3730-4989-84ce-c90204158406)\n\n* **Derived From** [Mean Annual Climate Data of Australia 1981 to 2012](https://data.gov.au/data/dataset/02418c67-f8bb-48a8-88a3-2a5c6b485f78)\n\n* **Derived From** [Subcatchment boundaries within and nearby the Gloucester subregion](https://data.gov.au/data/dataset/71a9e120-fc7c-4f51-983f-99a2b10c65b9)\n\n* **Derived From** [Bioregional Assessment areas v01](https://data.gov.au/data/dataset/0fd0d820-30b3-451f-a126-a50040426999)\n\n* **Derived From** [Geofabric Hydrology Reporting Catchments - V2.1](https://data.gov.au/data/dataset/ce066e36-49ad-4f77-b505-b1d2a4fe9c6a)\n\n* **Derived From** [BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012](https://data.gov.au/data/dataset/7aaf0621-a0e5-4b01-9333-53ebcb1f1c14)\n\n* **Derived From** [Victoria - Seamless Geology 2014](https://data.gov.au/data/dataset/2872d02e-66cb-42b6-9e5a-63abc8ad871b)\n\

Onshore co-produced water: extent and management

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Publication venue: data.gov.au
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## **Abstract** \n\nThis dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on known details at the time of acquisition.\n\n\n\nThis dataset contains the pdf report: RPS 2011, Onshore co-produced water: extent and management, Waterlines Report, National Water Commission, Canberra.\n\n## **Dataset History** \n\nThis dataset contains the pdf report: RPS 2011, Onshore co-produced water: extent and management, Waterlines Report, National Water Commission, Canberra.\n\n\n\nDownloaded from: http://nwc.gov.au/__data/assets/pdf_file/0007/18619/Onshore-co-produced-water-extent-and-management_final-for-web.pdf on 18 December 2015\n\n## **Dataset Citation** \n\nNational Water Commission (2011) Onshore co-produced water: extent and management. Bioregional Assessment Source Dataset. Viewed 27 November 2017, http://data.bioregionalassessments.gov.au/dataset/6b3d8096-f09d-40a2-b5ee-09c9f8b9bdfc

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