20170725 17005600 1.0 FALSE Barwon_Darling_Valley_FMP_Ecological_assets_20170630 290927.635000 693770.010500 6602715.251600 6793127.139100 1 0.000 002 Geographic GCS_GDA_1994 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WKT>GEOGCS[&quot;GCS_GDA_1994&quot;,DATUM[&quot;D_GDA_1994&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4283]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.9831528411952133e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4283</WKID><LatestWKID>4283</LatestWKID></GeographicCoordinateSystem> 20231122 13241400 20231122 13241400 ISO 19139 Metadata Implementation Specification ISO19139 50000 5000 Office of Environment and Heritage (OEH) Data Broker 131555 02 9995 5999 PO Box A290 Sydney South NSW 1232 AU data.broker@environment.nsw.gov.au ArcGIS Metadata 1.0 Office of Environment and Heritage (OEH) Data Broker 131555 02 9995 5999 PO Box A290 Sydney South NSW 1232 AU data.broker@environment.nsw.gov.au Enterprise Geodatabase Feature Class Barwon_Darling_FMP_2017_Ecological_Assets_Vegetation_250717 2015-05-05T00:00:00 2.0 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN /></P><P><SPAN>Priority vegetation assets to inform development of the </SPAN><SPAN>Barwon Darling </SPAN><SPAN>FMP floodplain management plan 201</SPAN><SPAN>7</SPAN><SPAN>. Composite vegetation map derived from </SPAN></P><P><SPAN>Refer to Source_VIS field in attribute table for source data.1. Shultz, N., Gowans, S., and Westbrooke, M. (2014) Survey and mapping of Darling floodplain vegetation between Tilpa and Brewarrina. September 2014. Report prepared for the NSW Government – Office of Environment and Heritage by Centre for Environmental Management, Federation University Australia, Ballarat. 2. Eco Logical Australia 2015. Vegetation of the Barwon-Darling and Condamine-Balonne floodplain systems of New South Wales: Mapping and survey of plant community types. Prepared for Murray-Darling Basin Authority.’ 3. Gowans S, Milne, R, Westbrooke, M &amp; Palmer G (2012) Survey of vegetation and vegetation condition of Toorale, Version 1-1. Unpublished report to NSW Office of Environment &amp; Heritage. Centre for Environmental Management, University of Ballarat, Mt Helen, Victoria. 4. Hunter, J. (2010). Vegetation and Floristics of The Barwon Nature Reserve. A report prepared for the Department of Environment, Climate Change and Water (DECCW). 5. Peasley, B., and Walsh, A. (1999). Mapping Vegetation Landscapes of the NSW North Western Slopes and Plains - A Project Overview. NHT Project NW0339.97. Report to the Natural Heritage Trust and North West Catchment Management Committee, Department of Land and Water Conservation. 6. Pickard, J., and Norris, E.H. (1994). The natural vegetation of north-western New South Wales: notes to accompany the 1:100 000 vegetation map sheet, Cunnighamia, Vol. 3, 3. Department of Infrastructure, 7. Planning and Natural Resources (DIPNR) (1998a). Preclearing and Existing Vegetation Mapping of the Western Division section of Bourke Shire, Northern Floodplains Far Western NSW, Edition 3. 8. Department of Infrastructure, Planning and Natural Resources (DIPNR) (1998b). Preclearing and Existing Vegetation Mapping of the Western Division section of Brewarrina Shire, Northern Floodplains Far Western NSW, Edition 2. 9. Department of Infrastructure, Planning and Natural Resources (DIPNR) (1998c). Preclearing and Existing Vegetation Mapping of the Western Division section of Walgett Shire, Northern Floodplains Far Western NSW, Edition 3. 10. Eco Logical Australia (2008). Vegetation Mapping for the Namoi and Border Rivers-Gwydir CMAs: Compilation of API Datasets and Preparation of a Hierarchical Vegetation Classification, final report for Border Rivers-Gwydir and Namoi CMAs. 11. Bowen, S., and Simpson, S. (2009). 2008 Vegetation map for the Gwydir wetlands and floodplain. NSW Department of Environment Climate Change and Water. Sydney South NSW. 12. Office of Environment and Heritage (2016). State Vegetation Type Map: Border Rivers Gwydir Namoi. Version 2.1. Office of Environment and Heritage, Sydney, Australia. 13. Some features from NSW Hydro Area Dataset were unioned into the vegetation composite layer</SPAN></P><P><SPAN /></P></DIV></DIV></DIV> Composite Vegetation community map used to inform development of the Barwon Darling Management Zones derived from various sources. This dataset contains both flood dependent and non-flood dependent vegetation communities and is a simplified version (containing less attribute fields). A more detailed version of the composit vegetation map is provided in the assessment data geodatabase. ANZLIC Theme 2008-10-29T00:00:00 Version 2.1 20081029 ANZLIC the Spatial Information Council BRGN, PCT, Plant Community Types, Regional Scale Vegetation Mapping PCT Plant Community Types Regional Scale Vegetation Mapping Environmental Assets Vegetation Barwon Darling FMP This data is provided under a Creative Commons license 4.0 . Attribute ‘NSW Office of Environment and Heritage’ when using this data. For further inquiries contact data.broker@environment.nsw.gov.au 15000 2014-01-01T00:00:00 2014-01-01T00:00:00 -1000.000000 0.000000 147.39402 152.11903 -31.85658 -28.53715 -1000.000000 0.000000 Esri ArcGIS 13.1.3.41833 1 144.817266 149.023063 -28.972835 -30.708388 1901-01-01T00:00:00 Completeness Ommission: Data absent from the dataset. 2015-01-30T00:00:00 false Completeness Commission: excess data in the dataset. 2015-01-30T00:00:00 false Topological Consistency: Dataset topological characteristics correctness. 1901-01-01T00:00:00 Geometrically & topologically correct. false Conceptual Consistency: adherence to conceptual schema rules. 1901-01-01T00:00:00 false Absolute External Positional Accuracy: closeness of reported coordinate values to accepted values. false Non Quantitative Attribute Accuracy: attribute correctness. 2015-01-30T00:00:00 PCT Map: Based on 100% of the survey data (modelling and hand mapping), the final mapped product has an accuracy in the range 68%-70% for prediction of the three most likely PCTs. Be aware that these accuracies are highly variable dependent on each PCT. Some PCT's utilized a much large number of available site data and were therefore more accurate and subsequently, those with less sites reported less accuracy. For a full description of the mapping product validation please refer to the Techncial Notes v1.0. Keith Class reached a 76% accuracy using the independent test data. Modelled PCT and modelled top 3 PCT overall accuracies were 53% and 68% respectively. Note that the overall accuracy decreases as the number of modelled classes being mapped increases. Woody Extent received a 92% overall accuracy. false A summary of the product's lineage is below. Please refer to the Technical Notes v1.0 for a detailed description of the methodologies and source datasets. The PCT map was derived primarily using a spatial modeling approach augmented with high resolution aerial imagery (50cm ADS40) for visual interpretation and automated line-work derivation. In summary the process for PCT attribution involved the following: 1. Vegetation Survey and Classification: Existing floristic plot data comprised 9054 existing sites after data cleaning. A large number of gaps in existing survey coverage were evident and required further survey information. Stratification based on archive broad vegetation type mapping (Regional Vegetation Types; Eco Logical Australia 2008b) and gap analysis was undertaken to select locations for additional plot data collection. A total of 6013 additional rapid data points were collected. To allocate survey sites to PCTs, full floristic plots were analysed using a UPGMA clustering approach in Primer with significant groups identified using SIMPROF and species contributions for each resulting group calculated using SIMPER. The existing plot data were allocated across 258 PCTs. 2. Pattern Derivation: A multi-resolution segmentation algorithm was used to create image objects with low internal variation. Image objects represent patches of vegetation that can later be classified based on attributes such as crown cover, spectral response, or soil type. The segmentation parameters and scale was derived iteratively based on visual inspection. Vegetation patterns from existing stereoscopic aerial photo interpretation and those recognised in high spatial resolution imagery (ADS40) were used as a reference point. Segmentation was performed using ADS40, SPOT 5 and SRTM derived topographic indices. this process provided the line work for subsequent PCT attribution. 3. Visual attribution of Landscape Class: The purpose of attributing Landscape classes to polygons is to predetermine broad vegetation types for modelling purposes using remote sensing. These classes reduce the PCT options for any one polygon making the modeling more effective in its attribution with commensurate less computing effort/time. A landscape class was attributed to every polygon in the study area. Landscape classes were aided by reference to existing mapping. Corrections were made based on ADS40 with on-screen attribution. Every polygon was visually checked by an expert interpreter. 4. Modelling Envelopes:As a further constraint to modelling outcomes, spatial envelopes were used to constrain PCTs to a certain geographic range, reducing the amount of types competing within the model at any particular location. The constraints used were applied at different stages in the mapping process. The Keith Class (Keith 2004) models were constrained to particular IBRA (Interim Bioregionalisation of Australia v7; Commonwealth of Australia 2012) subregions, selected based on review of the literature and expert opinion. The type models were constrained to particular ranges of a topographic position index, again based on literature review and expert opinion. Not all types were constrained by topographic envelopes, as some were considered to be less correlated with particular topographic positions. 5. Spatial Distribution Modelling of Keith Classes and Plant Community Types. Modelling of Keith Class and PCT used a combination (ensemble) of Generalised Dissimilarity Model (GDM), Boosted Regression Trees (BRT), and a simple Nearest Neighbour model.A suite of candidate environmental predictor variables, including climate, geology, soil, geophysical data, and terrain indices, were compiled for use in the GDM and BRT models. A comprehensive list of these predictor variables can be found in the Technical Notes v1.0. 6. Uplifted API and Expert Editing: Vegetation communities from the Gwydir Wetlands and Floodplain Vegetation Map 2008 (Bowen & Simpson 2010) were spatially translated into the current line-work via a majority extent per polygon algorithm. The vegetation community mapping resulting from the aforementioned procedures was extensively edited on screen to correct attribution where there may have been for example existing API, missed vegetation, ecological anomalies, incorrect assignments, modelling noise and inclusion of late site data. The extent of each attribution source is delineated by the Map Source data layer provided in this dataset. For further details on methodology and validation please refer to the Border Rivers Gwydir / Namoi Regional Native Vegetation Mapping Technical Notes Version 1.0. Reference: NSW Office of Environment and Heritage, 2015. BRG-Namoi Regional Native Vegetation Mapping. Technical Notes, NSW Office of Environment and Heritage, Sydney, Australia. EPSG Geodetic Parameter Dataset 2007-07-16T00:00:00 EPSG 6.5(3.0.1) Barwon_Darling_Valley_FMP_Ecological_assets_20170630 Feature Class 0 Shape Shape Geometry 8 0 0 Feature geometry. Esri Coordinates defining the features. Source_VIS Source_VIS String 50 0 0 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Asset_type Asset_type String 50 0 0 Asset type is defined by the core provisions of the Water Management Act Section 29. There are two asset types: Wetlands, Other Floodplain Ecosystems. Wetlands and Other Floodplain Ecosystems contain different hydro-ecological functional vegetation groups that have varying flooding requirements. Other mapped vegetation types not dependent on regular flooding are grouped under Non flood-dependent vegetation. Water Management Act Section 29 AssetSubty AssetSubty String 100 0 0 Asset subtype is sub-category of "Asset type" and contains the hydro-ecological functional vegetation group. Each of the hydro-ecological function groups have different flooding requirements and these have been incorporated into the design of the management zones. Refer to Barwon Darling FMP Background Document Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 dataset 0 Simple FALSE 0 TRUE TRUE 20231122