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Uncover-ML: a machine learning pipeline for geoscience data analysis.
The geosciences are a data-rich domain where Earth materials and processes are analysed from local to global scales. However, often we only have discrete measurements at... -
Find a rock or a rock nearby using Convolution Neural Networks
Output Type: Exploring for the Future Extended Abstract Short Abstract: Most geological mapping either over-estimates the amount of bedrock exposed at the surface or can miss... -
AEM Assist: A national machine learning tool for airborne electromagnetic...
Output Type: Exploring for the Future Extended Abstract Short Abstract: Airborne electromagnetic surveys are widely used in Australia for mineral exploration, groundwater... -
High resolution conductivity mapping using regional AEM survey and machine learning
Improvements in discovery and management of minerals, energy and groundwater resources are spurred along by advancements in surface and subsurface imaging of the Earth. Over the... -
National Gravity and Magnetic Derivatives Customised for Data Analysis and...
Purpose This package comprises a set of 86 thematic grids (rasters) derived from national coverages of gravity and magnetic survey data. These datasets provide valuable... -
Unearthing Australia’s subsurface secrets - An integrated FAIR modelling approach
Output Type: Exploring for the Future Extended Abstract Short Abstract: To enable a sustainable and responsible use of the Earth's subsurface environment and accelerate... -
Building a Better Geochemical Picture of the Australian Landscape
A vast quantity of surface sediment geochemistry data has been collected for the Australian continent by the mining industry and government over the last 50 years. Commonly,...
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