GLO Landscape Classes split by 500m Assessment Units v01

## **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 is derived from the GLO Landscape Classification v01, specifically the GLO_LandscapeClassficaition_Areas_Mar2016 and GLO_LandscapeClassifcation_lines data sets, which have been 'split' (unioned to generate tiles) by the 500m Assessment Units vector 'box' polygons. The purpose is to retain the spatial resolution of the landscape class data yet provide a unique identifier at the groundwater model spatial resolution (i.e. 500m) via the Assessment Unit ID. This data structure will enable highly flexible queries to be run that will support the Assessment team to produce results relevant to a wide range of analysis questions, particularly those that relate landscape classes with groundwater model results. Coordinate System is Australian Albers GDA94 EPSG: 3577\n\n## **Dataset History** \n\nThis dataset is derived from the GLO Landscape Classification v01, specifically the GLO_LandscapeClassficaition_Areas_Mar2016 and GLO_LandscapeClassifcation_lines data sets, which have been 'split' (unioned to generate tiles) by the 500m Assessment Units vector 'box' polygons. The purpose is to retain the spatial resolution of the landscape class data yet provide a unique identifier at the groundwater model spatial resolution (i.e. 500m) via the Assessment Unit ID. This data structure will enable highly flexible queries to be run that will support the Assessment team to produce results relevant to a wide range of analysis questions, particularly those that relate landscape classes with groundwater model results. Coordinate System is Australian Albers GDA94 EPSG: 3577\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2016) GLO Landscape Classes split by 500m Assessment Units v01. Bioregional Assessment Derived Dataset. Viewed 18 July 2018, http://data.bioregionalassessments.gov.au/dataset/749d3360-2f16-42e9-a870-77060c25c715.\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** [GLO Assessment units 500m 20160705](https://data.gov.au/data/dataset/bcb2f63b-4427-4cc2-a9e7-a4f092a9e9e8)\n\n* **Derived From** [Bioregional Assessment areas v02](https://data.gov.au/data/dataset/e414b1b3-c42e-42e9-9cc4-2093054aa35f)\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** [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** [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** [GLO Landscape Classification v01](https://data.gov.au/data/dataset/e6168d6a-ba97-4cd0-8961-2cd13884da93)\n\n