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Data-driven tectonic regionalization of Antarctica: Appreciate the similarity


Stal, T and Reading, AM and Cracknell, MJ and Halpin, JA and Latto, RB and Morse, PE and Turner, RJ and Whittaker, JM, Data-driven tectonic regionalization of Antarctica: Appreciate the similarity, Australian Earth Sciences Convention 2021 - 'Core to Cosmos', 9-12 February 2021, Virtual Conference, Online (Australia) (2021) [Conference Extract]

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Antarctica is the continent with the least constrained lithospheric architecture. Geophysical and geological data are sparse, and often associated with larger uncertainties than elsewhere. Such limitations have challenged the robustness of global tectonic regionalization models and schematic continental scale geological maps in Antarctica. Some published crustal models simply exclude high latitudes.

We collect an ensemble of robust datasets that covers the Antarctic continent. We match those Antarctic observables with global compilations to detect the most similar geological and tectonic setting. Most datasets are derived from satellite potential field surveys, seismic surface wave tomography and geological observations. We aim to take advantage of all and any existing data for Antarctica with a reasonable coverage and quality, and with a global equivalent reference observable.

The degree of similarity between Antarctic locations and global reference locations is used to generate a similarity rating map. We use this map to extract the suggested segment type classes from a number of published global tectonic regionalization models. The uncertainty of classification is expressed as information entropy for each location in Antarctica.

We present a number of tectonic regionalization models for Antarctica that can replace or extrapolate the global counterpart for high latitudes. Reference global models used include legacy studies, seismic segmentation, and lithological maps.

Item Details

Item Type:Conference Extract
Keywords:Antarctica, data-driven, tectonics
Research Division:Earth Sciences
Research Group:Geology
Research Field:Structural geology and tectonics
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Applied computing
UTAS Author:Stal, T (Mr Tobias Staal)
UTAS Author:Reading, AM (Professor Anya Reading)
UTAS Author:Cracknell, MJ (Dr Matthew Cracknell)
UTAS Author:Halpin, JA (Dr Jacqueline Halpin)
UTAS Author:Latto, RB (Ms Rebecca Latto)
UTAS Author:Morse, PE (Dr Peter Morse)
UTAS Author:Turner, RJ (Dr Ross Turner)
UTAS Author:Whittaker, JM (Associate Professor Jo Whittaker)
ID Code:143684
Year Published:2021
Deposited By:Earth Sciences
Deposited On:2021-03-30
Last Modified:2021-03-30

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