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Digital soil mapping of lithium in Australia
With a higher demand for lithium (Li), a better understanding of its concentration and spatial distribution is important to delineate potential anomalous areas. This study uses... -
Efficient borehole targeting for ground-control of airborne electromagnetic...
AusAEM is a Geoscience Australia program to collect broad-spaced (~20km) airborne electromagnetic (AEM) data at the regional scale. The AusAEM data is being used to map the... -
State-of-the-art analysis of geochemical data for mineral exploration
Multi-element geochemical surveys of rocks, soils, stream/lake/floodplain sediments, and regolith are typically carried out at continental, regional and local scales. The... -
Petrophysical interpretation and reservoir characterisation on Proterozoic...
The Proterozoic succession in the NDI Carrara 1 drill hole, Northern Territory, consists predominantly of tight shales, siltstones, and calcareous clastic rocks. As part of... -
Surficial and deep earth material prediction from geochemical compositions -...
Prediction of true classes of surficial and deep earth materials using multivariate geospatial data is a common challenge for geoscience modellers. Most geological processes... -
Predictive grids of major oxide concentrations in surface rock and regolith...
Major oxides provide valuable information about the composition, origin, and properties of rocks and regolith. Analysing major oxides contributes significantly to understanding... -
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... -
Developing an Optimal Spatial Predictive Model for Seabed Sand Content Using...
Seabed sediment predictions at regional and national scales in Australia are mainly based on bathymetry-related variables due to the lack of backscatter-derived data. In this... -
High resolution conductivity mapping using regional AEM survey and machine learning.
The AEM method measures regolith and rocks' bulk subsurface electrical conductivity, typically to a depth of several hundred meters. AEM survey data is widely used in Australia... -
Geospatial Data and Deep Learning Expose ESG Risks to Critical Raw Materials...
Disruptions to the global supply chains of critical raw materials (CRM) have the potential to delay or increase the cost of the renewable energy transition. However, for some... -
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 surface and near-surface conductivity grids
A national compilation of airborne electromagnetic (AEM) conductivity–depth models from AusAEM (Ley-Cooper et al. 2020) survey line data and other surveys (see reference list in... -
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... -
Rapid analysis of drill core data for detection of geological boundaries
Regolith geochemical and geophysical patterns related to underlying mineralisation may be difficult to detect in regions where the regolith is thick, transported or has... -
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,... -
Seagrass meadows extents derived from field to spaceborne earth observation...
Seagrass meadow extent and meadow-scape was mapped using three alternative approaches at Midge Point, a coastal turbid water habitat, in the central section of the Great Barrier... -
Seagrass meadow extents derived from field to spaceborne earth observation...
Seagrass meadow extent and meadow-scape was mapped using four alternative approaches at Yule Point, a coastal clear water habitat, in the Cairns section of the Great Barrier...