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Probabilistic airborne electromagnetic inversion of 20 km AusAEM data, North East Queensland, 2025

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Research Data Australia2026-01-03 收录
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https://researchdata.edu.au/probabilistic-airborne-electromagnetic-queensland-2025/3952949
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This airborne electromagnetic (AEM) dataset provides regional scale probabilistic inversion products from 35,000 line km of airborne electromagnetic (AEM) data from the Northeast Queensland AusAEM 2024 survey with inter-line spacing of 20 km (Ley-Cooper & Deo 2025). Under the aegis of the Resourcing Australia's Prosperity initiative (RAPi), this continues the release of probabilistic inversion products from AEM data acquired under the Exploring for the Future program (2016-2024). All AEM data were inverted using the open source HiQGA (High Quality Geophysical Analysis) code developed for this purpose (Ray et al. 2023a,b). Previously released Phase 01 and Phase 02 products are available at Ray et al. (2024, eCat 149375) and Ray et al. (2025, eCat 150339).While deterministic inversions are the mainstay of reconnaisance surveying with AEM, the main benefits of a probabilistic inversion are:- Loss of signal sensitivity at depth does not “fade to blue” by returning to the resistive deterministic reference model.- Fine features and confidence in their interpretability are brought out by examining multiple probability percentiles.- Survey join artefacts, though inevitable, are largely minimised, leading to seamless interpretability.- Quick scanning for conductors using the 10th (low) percentile of log10 conductivity, and resistors using the 90th (high) percentile of log10 conductivity.Further details are provided in the accompanying technical note.The 10th, 50th and 90th and mean percentiles of log10 conductivity are provided in a variety of formats:- VTK structured grids- ASCII point clouds- ASEG-GDF2 files- GOCAD S-gridsShape files associated with the inverted lines can also be found in the release package.AEMConvertInterp input files (Nicoll et al. 2025) for the geological interpretation workflow detailed in Wong et al. (2022) have also been provided. Additionally, georeferenced images can be used from the above input files, but they are not required by the above workflow and are not guaranteed to render with the right orientation at all times.All products have been provided in the coordinate reference system (CRS) the original AEM data were provided in. The VTK unstructured grids are also provided in GDA94 geodetic longitude, latitude coordinates for ease of display in the same CRS.
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Geoscience Australia
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