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Prospectivity Confidence inputs and results Final
No full text\n## **Abstract** \nThis dataset contains image files pertaining to a shale, tight and deep coal gas prospectivity assessment for the Cooper Basin, undertaken as part of Stage 2 of the Geological and Bioregional Assessment Program. The classified input maps were used to make prospectivity confidence maps for each formation of interest for either shale gas, tight gas or deep coal gas.\n\n\n## **Attribution** \nGeological and Bioregional Assessment Program\n\n\n## **History** \nThis dataset contains image files pertaining to a shale, tight and deep coal gas prospectivity assessment for the Cooper Basin. the dataset was derived under licence from Petrosys Pty Ltd software using ArcGIS at Geoscience Australia.A891A605-680B-4CEE-B82D-139E45A17388.zip - Data File<br/>
Cooper GBA region compromised aquitard integrity calculations
No full text\n## **Abstract** \nThe dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. Simulate the length along which a conservative solute can be transported along a fault in a period of 100 and 250 year before the concentration is less than 0.001 times the initial concentration. The calculation is based on the Grisak and Pickens (1980) equations. Create histogram of Nappamerri aquitard thickness for comparison. Full description in COO_v4_Compromised Aquitard Integrity available from https://gba-explorer.bioregionalassessments.gov.au/coo/7/34/0.\n\n\n## **Attribution** \nGeological and Bioregional Assessment Program\n\n\n## **History** \nRefer to the ipython notebook in the zip file for details of the script with the associated equation and its implementation.834A6325-7233-458C-8209-41450CA72995.zip - Data File<br/>
Vegetation cover condition (Cooper region)
No full text\n## **Abstract** \nVegetation cover condition is an assessment of how much impact disturbances (including management activities) have had on ground cover. Condition is assessed using Compere, a relative performance bench marking framework that compares one location's value to the values of all biophysically equivalent locations in a given region. Resulting condition estimates range from 0 (lowest observed cover among equivalents) to 1 (highest observed). Underlying total vegetation cover data are the total fraction of ground covered by green and senesced plant material (Guerschman et al., 2018, Remote Sensing of Environment 113, 928-945). Cover condition has been assessed yearly from 2001 to 2018 at a grid resolution of 500 m. \n\n\n## **Attribution** \nGeological and Bioregional Assessment Program\n\n\n## **History** \nAnnual rainfall, historical NDVI (Normalised Difference Vegetation Index), slope and total cover fraction data were used to calculate cover condition. Annual rainfall was from the Bureau of Meteorology daily 5 km gridded data (Jeffrey et al., 2001). NDVI was from MODIS MOD13Q1 and MOD09Q1 data. Slope was from the CSIRO’s SRTM 9 digital elevation model data (Gallant et al., 2011). Cover was from CSIRO’s fractional cover data (derived from MCD43A4 data, Guerschman and Hill, 2018).\r\nSurface Water Points data and the Sturt National Park boundary data were used to test results. These were sourced from Crossman and Li (2015) and Commonwealth of Australia (2019), respectively.\r\nBackground NDVI, slope and annual rainfall were used quantify locations that were biophysically equivalent to a given target location. The total cover fraction of the target was compared to that from all ‘equivalent’ locations to yield a relative ranking of the target’s cover value. This is interpreted directly as cover condition. This was repeated for all locations (grid cells) and years.\r\nAn assessment of the impact of the mining industry on cover condition across the Cooper region was undertaken, using confidential well location data. \r\nSee associated publications for more details.\r\nJones, D.A., Wang, W., & Fawcett, R. (2009). High-quality spatial climate data sets for Australia. Australian Meteorological and Oceanographic Journal, 58, 233-248.\r\nGallant, J.C., Dowling, T.I., Read, A.M., Wilson, N., Tickle, P.K., & Inskeep, C. (2011). 1 second SRTM-derived Digital Elevation Models User Guide. Canberra: Geoscience Australia.\r\nGuerschman, J.P., & Hill, M.J. (2018). Calibration and validation of the Australian fractional cover product for MODIS collection 6. Remote Sensing Letters, 9, 696-705. DOI: 10.1080/2150704X.2018.1465611.\r\nCrossman, S., & Li, O. (2015). Surface Hydrology points (Regional). Geosciences Australia. Canberra. http://pid.geoscience.gov.au/dataset/ga/83132.\r\nCommonwealth of Australia (2019). Collaborative Australian Protected Areas Database (CAPAD) 2018. Commonwealth of Australia. Canberra.6CFB35E7-48B3-4AF2-BEC2-5F9D06E79BD8.zip - Data File<br/>
Beetaloo formation pressure and temperature data compiled from petroleum well completion reports
No full text\n## **Abstract** \nThe dataset was derived by the Geological and Bioregional Assessment Program. Pressure and temperature data compilation sourced from Petroleum well completion reports for wells in the Beetaloo GBA region. Drill stem tests (DST) and wireline geophysical logging data was used to compile this data.\n\n\n## **Attribution** \nGeological and Bioregional Assessment Program\n\n\n## **History** \nPressure and temperature data were compiled into a single dataset from drill stem tests (DST) and wireline geophysical logging from petroleum well completion reports for wells in the Beetaloo GBA region.65CF9145-483A-45E5-9349-CC66647731F1.zip - Data File<br/>
Calculation of vertical fracture extent due to hydraulic fracturing
No full text\n## **Abstract** \nThe dataset was compiled by the Geological and Bioregional Assessment Program from source data referenced within the dataset and/or metadata. Calculations to support the vertical fracture extents due to hydraulic fracturing used in the Hydraulic Fracturing node description.\n\n\n## **Attribution** \nGeological and Bioregional Assessment Program\n\n\n## **History** \nKear and Kasperczyk (2020) adapted the approach introduced in Pandurangan et al. (2018) to conservatively estimate the vertical fracture extent across the Cooper GBA region. Propagation of fractures between wells from the same pad completed in the same formation are common and pose a low risk as the wells would be designed and constructed to withstand the imposed fluid pressure from the intersecting hydraulic fracture. Refer to the PDF document in the zip file for details of the parameters and script used to calculate the fracture extent.\r\n\r\nReferences:\r\nKear J and Kasperczyk D (2020) Hydraulic fracturing and well integrity review for the GBA regions. Technical appendix for the Geological and Bioregional Assessment: Stage 2. Department of the Environment and Energy, Bureau of Meteorology, CSIRO and Geoscience Australia, Australia.\r\nPandurangan R, Kasperczyk D, J K and Z C (2018) Water Contamination Risk Assessment on Hydraulic Fracturing in Unconventional Gas Extraction. Australia. Viewed 10 May 2019, https://gisera.csiro.au/wpz content/uploads/2017/02/Water-10-Final-Report.pdf53B27355-2BB1-44F8-A561-00E04ADBA6C0.zip - Data File<br/>
Impact Modes and Effects Analysis: Shale and tight gas Cooper Basin
No full text\n## **Abstract** \nThis dataset and its metadata statement were created within the Geological and Bioregional Assessment Program based on expert elicitation. There are no source datasets used. This dataset describes the application of Impact Modes and Effects Analysis (IMEA) to the hazards associated with the Cooper GBA region. Attention is restricted to potential impacts to water or the environment, i.e. hazards that might lead directly or indirectly to impacts on groundwater or surface water, or to the availability of suitable habitat, and the assets that depend on them. The hazard analysis follows the IMEA process described in http://data.bioregionalassessments.gov.au/submethodology/M11.\n\n\n## **Attribution** \nGeological and Bioregional Assessment Program\n\n\n## **History** \nThe hazard analysis follows the IMEA process described in http://data.bioregionalassessments.gov.au/submethodology/M11.4CEAF57B-CDE4-472B-953C-70ADC8DD45C0.zip - Data File<br/>
2016 SoE Marine Classification of fish stocks across AFMA fisheries
No full textThe data was sourced from Dept of Agriculture Forestry and Fisheries. For more information please see http://data.daff.gov.au/data/warehouse/9aam/fsrXXd9abm_/fsr15d9abm_20151030/01_FishStatus2015Overview_1.1.0.pdf\r\n\r\nData used to produce MAR37 in SoE2016. See;\r\nhttps://soe.environment.gov.au/theme/marine-environment/topic/2016/sustainability-and-sector-management#marine-environment-figure-37Classification of fish stocks (number of stocks) across the 21 fisheries managed by the Australian Fisheries Management Authority, 2004–14 - <br/>
2016 SoE Inland Waters Annual rainfall deciles 2012
No full textRainfall deciles for 1 January to 31 December 2012.\r\nSource : Bureau of Meteorology, see http://www.bom.gov.au/jsp/awap/rain/index.jsp\r\n\r\nMap prepared by the Department of Environment and Energy in order to produce Figure WAT4 in the Inland Waters theme of the 2016 State of the Environment Report, available at http://www.soe.environment.gov.au\r\n\r\nThe map service can be viewed at http://soe.terria.io/#share=s-eci2OllO0WSu7imucfP6pS4EBbs\r\n\r\nDownloadable spatial data also available below.WAT4a Australian rainfall deciles, 2012 - Map prepared by the Department of Environment and Energy for Figure WAT4 2016 State of the Environment report. Source: Bureau of Meteorology, under CC by 4.0<br/>WAT4a Annual rainfall deciles 2012 - Downloadable ESRI data prepared by the Department of Environment and Energy in order to produce Figure WAT4a in the Inland Water theme of the 2016 State of the Environment report.<br/>
2016 SoE Inland Waters Distribution of Eastern Gambusia (Gambusia holbrooki)
No full textHeat map of observed extent of Eastern Gambusia according to Atlas of Living Australia records . See http://bie.ala.org.au/species/urn:lsid:biodiversity.org.au:afd.taxon:e96c4568-a10f-4ea9-a741-a551b1f22bc1\r\n\r\nMap prepared by the Department of Environment and Energy in order to produce Figure WAT9 in the Inland Waters theme of the 2016 State of the Environment Report, available at http://www.soe.environment.gov.au\r\n\r\nThe map service can be viewed at http://soe.terria.io/#share=s-j0ezm69RbKli5xeV8opWhS8ERhV\r\n\r\nDownloadable spatial data also available below.WAT9 Observed extent of eastern gambusia, 2016 - Heat map of observed extent of the weed, Eastern Gambusia according to Atlas of Living Australia records . See http://bie.ala.org.au/species/urn:lsid:biodiversity.org.au:afd.taxon:e96c4568-a10f-4ea9-a741-a551b1f22bc1\r\n\r\nMap prepared by the Department of Environment and Energy in order to produce Figure WAT9 in the Inland Waters theme of the 2016 State of the Environment Report<br/>WAT9 Distribution of Eastern Gambusia (Gambusia holbrooki) - Downloadable ESRI data prepared by the Department of Environment and Energy in order to produce Figure WAT9 in the Inland Waters theme of the 2016 State of the Environment Report, available at http://www.soe.environment.gov.au<br/>
2016 City of Casey Census Analysis
No full textPower BI Report showing City of Casey Census data (Culture, Religion, Employment etc.)2006 - 2016 Census Analysis - <br/>