Galilee mines footprints

## **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 data set provides mine footprint areas for seven proposed coal mines in the Galilee subregion that were included in surface water modelling.\n\n## **Purpose** \n\nThis data set was used to identify surface water node catchments that were partly or fully occupied by a proposed coal mine developments in the Galilee subregion. This information is essential to estimate the changes in surface water flow due to mining operation.\n\n## **Dataset History** \n\nFootprint maps of seven proposed coal mines in the Galilee subregion were obtained from the mine EIS and SEIS reports (see lineage) to produce general outlines for the surface water model.\n\n## **Dataset Citation** \n\nBioregional Assessment Programme (2015) Galilee mines footprints. Bioregional Assessment Derived Dataset. Viewed 12 December 2018, http://data.bioregionalassessments.gov.au/dataset/de808d14-b62b-47dd-b12c-4370b6c23b8e.\n\n## **Dataset Ancestors** \n\n* **Derived From** [Onsite and offsite mine infrastructure for the Carmichael Coal Mine and Rail Project, Adani Mining Pty Ltd 2012](https://data.gov.au/data/dataset/919b188a-9531-46a5-a644-a0b068ef7a83)\n\n* **Derived From** [China Stone Coal Project initial advice statement](https://data.gov.au/data/dataset/2f26441d-f184-4a1e-80a2-6b636a26d4d4)\n\n* **Derived From** [Alpha Coal Project Environmental Impact Statement](https://data.gov.au/data/dataset/dba3cce8-f2c2-4e95-b74b-e5791dda6efa)\n\n* **Derived From** [China First Galilee Coal Project Environmental Impact Assessment](https://data.gov.au/data/dataset/430086cc-9cc2-4cad-a21d-ca3eb920bee4)\n\n* **Derived From** [Kevin's Corner Project Environmental Impact Statement](https://data.gov.au/data/dataset/e8293ba3-f5bb-42ef-9704-be7beb19d5f0)\n\n