- ORCID iD
- 0000-0001-5950-5108
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A comparison between Kalman ensemble generator and geostatistical frequency-domain electromagnetic inversion : the impacts on near-surface characterization
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Geophysics in support of dynamic landfill management : moving beyond the challenges
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- Journal Article
- A1
- open access
Sensitivity and depth of investigation from Monte Carlo ensemble statistics
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- Conference Paper
- C3
- open access
Comparing stochastic FDEM inversion methods for near-surface modelling
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- Conference Paper
- C3
- open access
Geophysical surveys for unlocking landfill resources : from past applications to future developments
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- Conference Paper
- C3
- open access
Evaluating the resource recovery potential of fly ash deposits using electrical and electromagnetic methods
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- Journal Article
- A2
- open access
Efficient probabilistic joint inversion of direct current resistivity and small-loop electromagnetic data
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- PhD Thesis
- open access
Efficient probabilistic processing of frequency-domain electromagnetic data for subsurface modelling
(2020) -
Probabilistic 1-D inversion of frequency-domain electromagnetic data using a Kalman ensemble generator
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Efficient probabilistic joint inversion using a Kalman ensemble generator
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Validating land-based FDEM data and derived conductivity maps : assessment of signal calibration, signal attenuation and the impact of heterogeneity
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- Journal Article
- A2
- open access
Relating magnetic properties of municipal solid waste constituents to iron content : implications for enhanced landfill mining
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- Conference Paper
- C1
- open access
Offset errors in probabilistic inversion of small-loop frequency-domain electromagnetic data : a synthetic study on their influence on magnetic susceptibility estimation
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Improving geophysical resource exploration using probabilistic inversion methods
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- Conference Paper
- C3
- open access
Proposing a statistical interpretation for the depth of investigation
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Improving the reliability of soil EC-mapping : robust apparent electrical conductivity (rECa) estimation in ground-based frequency domain electromagnetics
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- Conference Paper
- C3
- open access
Bayesian inversion of loop-loop electromagnetic data using an Ensemble Kalman method
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Exploring the potential of electromagnetic surface measurements for the characterisation of industrial landfills