eCite Digital Repository

Exploratory volumetric deep Earth visualization by 2.5D interactive compositing

Citation

Morse, PE and Reading, AM and Stal, T, Exploratory volumetric deep Earth visualization by 2.5D interactive compositing, IEEE Transactions on Visualization and Computer Graphics pp. 1-1. ISSN 1941-0506 (2020) [Refereed Article]

Copyright Statement

Copyright 2020 IEEE

DOI: doi:10.1109/TVCG.2020.3037226

Abstract

n this contribution we consider the visualization of global, deep Earth volume datasets for display and researcher interaction. While the algorithms and data analysis techniques that produce such volumetric results have become more sophisticated, the manner of visualizing these findings can be improved. We address the challenge of making an illustrative, exploratory visualization of a global geoscience dataset using a combined seismic tomography result, the primary means by which geoscientists infer structure and process in the deep Earth. We present a novel, interactive graphical application suite and associated workflow that uses an intuitive 2.5D layer compositing approach. This allows the user to adjust the separation between data-slices, control graphics variables such as color mapping, opacity and compositing, and facilitate exploration and annotation of the architecture of the lithosphere. Graphics outputs from our applications are enabled for immersive systems such as dome displays. In a case study we visualize the deep Earth structure beneath the Indian Ocean region. We anticipate that the application methodology will find use in the visualization of multiple datasets representing aspects of the Earth's deep interior and atmosphere, and in the interaction with the increasing number of rich datasets from missions to our neighboring planets.

Item Details

Item Type:Refereed Article
Keywords:color mapping, interactive visualization, seismic tomography, solid earth geophysics, volume visualization
Research Division:Earth Sciences
Research Group:Geoinformatics
Research Field:Geoscience data visualisation
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the earth sciences
UTAS Author:Morse, PE (Dr Peter Morse)
UTAS Author:Reading, AM (Professor Anya Reading)
UTAS Author:Stal, T (Dr Tobias Staal)
ID Code:143896
Year Published:2020
Deposited By:Earth Sciences
Deposited On:2021-04-09
Last Modified:2022-08-23
Downloads:0

Repository Staff Only: item control page