Computer vision-based framework for extracting tectonic lineaments from optical remote sensing data

Abstract: The extraction of tectonic lineaments from digital satellite data is a fundamental application in remote sensing. The location of tectonic lineaments such as faults and dykes are of interest for a range of applications, particularly because of their association with hydrothermal mineralization. Although a wide range of applications have utilized computer vision techniques, a … Read more…

Bayeslands: A Bayesian inference approach for parameter uncertainty quantification in Badlands

Abstract: Bayesian inference provides a rigorous methodology for estimation and uncertainty quantification of unknown parameters in geophysical forward models. Badlands is a landscape evolution model that simulates topography development at various space and time scales. Badlands consists of a number of geophysical parameters that needs estimation with appropriate uncertainty quantification; given the observed present-day ground truth … Read more…

Modeling geochemical anomalies of stream sediment data through a weighted drainage catchment basin method for detecting porphyry Cu-Au mineralization

Abstract: Stream sediment surveying is a geochemical sampling method which is typically applied in the preliminary stages of mineral prospecting. Both continuous and discrete mapping approaches have been proposed to delineate geochemical anomalies at large scales using stream sediment samples. We aim to enhance the efficiency of a recent discrete mapping method called Weighted Drainage … Read more…

EarthByte Honours and Masters Projects 2020

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EarthByte has now released a list of Honours/Masters projects to be offered in 2020. These projects are outlined below. We can also tailor projects to your interests. Feel free to contact us by clicking the supervisor links below. Project Title Supervisor(s) How climate and subsidence control the sedimentation along the Norwegian Margin? Claire Mallard , … Read more…

EarthByte Honours and Masters Projects 2019

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EarthByte has now released a list of Honours/Masters projects to be offered in 2019. These projects are outlined below. Project Title Supervisor(s) How is landscape complexity driving biodiversity over geological time scales? Tristan Salles & Patrice Rey How well are tectonic and climatic signals preserved in the stratigraphic record? Tristan Salles & Claire Mallard Vertical motions … Read more…

Workshop on “Bayeslands: Bayesian inference for Badlands”

Overview: In recent years, the Bayesian inference has become a popular methodology for the estimation and uncertainty quantification of parameters in geological and geophysical forward models via the posterior distribution. Badlands is a basin and landscape evolution model for simulating topography development at various space and time scales. This workshop will present  BayesLands which provides … Read more…

EarthByte Honours and Masters Projects 2018

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EarthByte has now released a list of Honours/Masters projects to be offered in 2018. These projects are outlined below. Project Title Supervisor(s) Dynamic Earth models, landscape dynamics and basin evolution in Australasia Dietmar Müller, Sabin Zahirovic, Tristan Salles, Rohit Chandra, Sally Cripps (Centre for Translational Data Science) Incorporating modern plate tectonic reconstructions into box models of the deep-time deep-Earth … Read more…