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345 - The Wilkes Land sector including the Aurora Basin, and its most probable subglacial geology


Staal, T and Reading, AM and Cracknell, MJ and Fox, J and Halpin, JA and Maritati, A and Whittaker, JM, 345 - The Wilkes Land sector including the Aurora Basin, and its most probable subglacial geology, Scientific Committee on Antarctic Research (SCAR) Open Science Conference 2020: Antarctic - Global Connections, 3-7 August 2020, Online (2020) [Conference Extract]

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With no direct observations, the subglacial geology of the Antarctic interior is unknown. However, with a growing awareness of the complex interaction between the ice sheet and the solid Earth, there is a need for well-posed estimates of properties such as crustal heat production, extent and thickness of sedimentary basins, and timing and extent of exhumation. Constraining the likely nature of the bedrock is also the key to a better understanding of the tectonic history of East Antarctica, e.g. the extent of cratonic blocks and orientation of Proterozoic orogens.

We present a probabilistic approach to describe the range of possible interpretations of the Antarctic interior with a focus on The Wilkes Land sector, including the Aurora Basin. Along the coast, we utilize geological observations and tectonic reconstructions of Gondwana. In the interior, the constraints depend more heavily on geophysical data. We use the geological and geophysical data to construct 'membership functions' that quantify the likelihood of a given property of the subglacial geology. Properties include tectonic affiliation, crustal type and crustal stabilisation age. The membership functions are defined from a range of classification and regression methods, assembled in a novel workflow using the agrid package and provided Python code. The outcome is treated as a likelihood distribution and combined with expected prior values, for each property mapped.

Our resulting outputs and interpretations, including most likely broadscale bedrock geology, are made available as maps in widely usable formats for use in the wider geoscience and interdisciplinary Antarctic research communities.

Item Details

Item Type:Conference Extract
Keywords:Antarctica, multivariate, segmentation
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Fuzzy computation
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the earth sciences
UTAS Author:Staal, T (Dr Tobias Staal)
UTAS Author:Reading, AM (Professor Anya Reading)
UTAS Author:Cracknell, MJ (Dr Matthew Cracknell)
UTAS Author:Fox, J (Dr Jodi Fox)
UTAS Author:Halpin, JA (Dr Jacqueline Halpin)
UTAS Author:Maritati, A (Mr Alessandro Maritati)
UTAS Author:Whittaker, JM (Associate Professor Jo Whittaker)
ID Code:143902
Year Published:2020
Deposited By:Earth Sciences
Deposited On:2021-04-09
Last Modified:2021-06-18

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