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Lineaments interpreted from Gravity Data
This dataset comprises lineaments interpreted from 250m gridded gravity data. The data is presented as Bouguer gravity using an industry standard reduction (continental crust) density of 2.67 T/m3 for the density of bedrock . Analysis has focussed on interpreting structural trends not addressed closely by the work completed by the former Department of Primary Industries (DPI) - specifically NNE-SSW, ENE-WSW and WNW-ESE trends. The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.
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Lineaments interpreted from Topography
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This dataset comprises lineaments interpreted from the State's 100m x 100m resolution Digital Terrain Model (DTM). The interpretation has been completed on a regional or sub-regional scale using geophysical remote sensing techniques and has confirmed that topography is a key structural analysis dataset. This is because it frequently shows strong evidence of the recent reactivation of older fault structures. The analysis identified a number of key topography lineament directions across the state: ENE-WSW: the dominant set of long and persistent linear features; WNW-ESE: the next most obvious interpreted topographic lineament dataset; N-S to NNE-SSW: trends mostly associated with known terrane boundaries. Generally, only lineaments which have not been published in existing datasets developed by the former Department of Primary Industries (DPI) have been identified in this study. The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.
Lineaments interpreted from Total Magnetic Intensity (TMI) data
공공데이터포털
This dataset comprises lineaments interpreted from 50m gridded Total Magnetic Intensity (TMI) data. Analysis has focussed on interpreting structural trends not addressed closely by the work completed by the former Department of Primary Industries (DPI) - specifically NNE-SSW, ENE-WSW and WNW-ESE trends. The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.
GA310 South West Margin 2D MSS, gravity line data
공공데이터포털
Gravity data measures small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. These line dataset from the GA310 South West Margin 2D MSS survey were acquired for Geoscience Australia in 2008/2009 as part of the Australian Government's Offshore Energy Security Program. This survey acquired a range of pre-competitive geological and geophysical data that included seismic reflection, gravity, magnetic and swath bathymetry measurements, as well as seafloor dredge samples. A total of 26,000 line-kilometres of magnetic and gravity data were acquired during this survey.
GA310 South West Margin 2D MSS, gravity line data
공공데이터포털
Gravity data measures small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. These line dataset from the GA310 South West Margin 2D MSS survey were acquired for Geoscience Australia in 2008/2009 as part of the Australian Government's Offshore Energy Security Program. This survey acquired a range of pre-competitive geological and geophysical data that included seismic reflection, gravity, magnetic and swath bathymetry measurements, as well as seafloor dredge samples. A total of 26,000 line-kilometres of magnetic and gravity data were acquired during this survey.
GA310 South West Margin 2D MSS, gravity line data
공공데이터포털
Gravity data measures small changes in gravity due to changes in the density of rocks beneath the Earth's surface. The data collected are processed via standard methods to ensure the response recorded is that due only to the rocks in the ground. The results produce datasets that can be interpreted to reveal the geological structure of the sub-surface. The processed data is checked for quality by GA geophysicists to ensure that the final data released by GA are fit-for-purpose. These line dataset from the GA310 South West Margin 2D MSS survey were acquired for Geoscience Australia in 2008/2009 as part of the Australian Government's Offshore Energy Security Program. This survey acquired a range of pre-competitive geological and geophysical data that included seismic reflection, gravity, magnetic and swath bathymetry measurements, as well as seafloor dredge samples. A total of 26,000 line-kilometres of magnetic and gravity data were acquired during this survey.
Lineaments interpreted from Radiometric Data
공공데이터포털
This dataset was derived using 50m gridded radiometrics data including: Plain raster images of individual channels (TC, K, Th & U) Individual channels (TC, K, Th & U) draped over topography RGB false colour images of K (red), Th (green) and U (blue) with and without topography and lineaments and compared to topography and lineaments. (where Total Count - TC, Potassium - K, Thorium - Th and Uranium -U) . The interpretation was completed on a regional or sub-regional scale using geophysical remote sensing techniques. By combining the radiometrics and topography datasets, a pseudo-geomorphology is created. The radiometrics respond to soil cover in first the 0.5m of depth. As soils may change across small fault boundaries, radiometric lineaments bear the best relationship with topographic lineaments. From the various radiometric outputs the following key observations have been made: The ENE-WSW lineaments are evident but not as extensively as in the interpreted topographic dataset; The NNW-SSE lineament datasets is most dominant in the radiometric data; In the Otway Basin, many radiometric lineaments are parallel to the cost and are due to strandlines or basin faults; In the Murray Basin, strandlines are obvious as they are evident in the topographic data; In some cases, the soil radiometric chemistry changes across topographic lineaments, supporting the interpretation of topographic lineaments as evidence of small palaeo-fault movement. The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.
Geophysical Interpretations - Earth Resources Spatial Data Collection for the Datamart.
공공데이터포털
Polygons and lines of geophysical interpretations. Specifically at 1:1,000,000, 1:500,000, 1:250,000 & 1:100,000 scales. Collected for Earth Resources within DSDBI
Geological Interpretations - Earth Resources Spatial Data Collection for the Datamart.
공공데이터포털
Polygons and lines of geological interpretations. Specifically at 1:4,000,000, 1:1,000,000, 1:250,000 & 1:100,000 scales. Collected for Earth Resources within DSDBI
Interpreted Faults, Latrobe Group, Gippsland Basin
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This dataset consists of geological faults for the Top Latrobe Group interpreted from industry seismic data compiled by the Department of Environment and Primary Industries (DEPI). The dataset was compiled by GHD to inform the report 'Potential Influences of Geological Structures on Groundwater Flow Systems' for DEPI's Secure Allocation Future Entitlements (SAFE) Project.
Basins (1:500,000), Geological Interpretation of Geophysical Features Arc
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This dataset contains interpreted geological data, both units underlying the basins and magnetic (mostly volcanic) units enclosed by the basin sediments. The linear features in the data set are geological boundaries, major faults, lesser faults and dykes. The onshore magnetic, radiometric, topographic and gravity data have been collected by the Geological Survey of Victoria. This has been supplemented by offshore magnetic and bathymetric data collected by the Australian Geological Survey Organisation and deep seismic data collected by the Australian Geological Survey Organisation and company sources. The map attempts to reconcile the onshore geology interpreted in Simons & Moore (1999) with the geophysical responses in a way that is geologically reasonable, and to carry this interpretation offshore at least as far as the Tasmanian sea boundary (generally 39 degrees 12 minutes South). The legend broadly uses the same time breaks as that of the Pre-Permian geological map, but includes younger packages that lie beneath the basin. No attempt has been made to subdivide granitic rocks of a particular age. The dataset is accompanied by other datasets representing lava flows and the basin edges. Lava flows have been interpreted either from intersections in drill holes or from magnetic responses. References: MOORE, D.H., 2002. Eastern and central Gippsland Basin, southeast Australia: basement interpretation and basin links. Victorian Initiative for Minerals and Petroleum Report 69, Department of Natural Resources and Environment. MOORE, D.H., 2002. Basement-basin relationships in the Otway Basin, Victoria, Australia. Victorian Initiative for Minerals and Petroleum Report 78, Department of Natural Resources and Environment. SIMONS B.A., & MOORE, D.H., 1999. Victoria 1:1 000 000 Pre-Permian Geology. Geological Survey of Victoria.