3D Digital Geological Models (eBook)

From Terrestrial Outcrops to Planetary Surfaces
eBook Download: PDF
2022 | 1. Auflage
240 Seiten
Wiley (Verlag)
978-1-119-31391-5 (ISBN)

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3D DIGITAL GEOLOGICAL MODELS Discover the practical aspects of modeling techniques and their applicability on both terrestrial and extraterrestrial structures A wide overlap exists in the methodologies used by geoscientists working on the Earth and those focused on other planetary bodies in the Solar System. Over the course of a series of sessions at the General Assemblies of the European Geosciences Union in Vienna, the intersection found in 3D characterization and modeling of geological and geomorphological structures for all terrestrial bodies in our solar system revealed that there are similar datasets and common techniques for the study of all planets Earth and beyond from a geological point-of-view. By looking at Digital Outcrop Models (DOMs), Digital Elevation Models (DEMs), or Shape Models (SM), researchers may achieve digital representations of outcrops, topographic surfaces, or entire small bodies of the Solar System, like asteroids or comet nuclei. 3D Digital Geological Models: From Terrestrial Outcrops to Planetary Surfaces has two central objectives, to highlight the similarities that geological disciplines have in common when applied to entities in the Solar System, and to encourage interdisciplinary communication and collaboration between different scientific communities. The book particularly focuses on analytical techniques on DOMs, DEMs and SMs that allow for quantitative characterization of outcrops and geomorphological features. It also highlights innovative 3D interpretation and modeling strategies that allow scientists to gain new and more advanced quantitative results on terrestrial and extraterrestrial structures. 3D Digital Geological Models: From Terrestrial Outcrops to Planetary Surfaces readers will also find: The first volume dedicated to this subject matter that successfully integrates methodology and applications A series of methodological chapters that provide instruction on best practices involving DOMs, DEMs, and SMs A wide range of case studies, including small- to large-scale projects on Earth, Mars, the 67P/Churyumov-Gerasimenko comet, and the Moon Examples of how data collected at surface can help reconstruct 3D subsurface models 3D Digital Geological Models: From Terrestrial Outcrops to Planetary Surfaces is a useful reference for academic researchers in earth science, structural geology, geophysics, petroleum geology, remote sensing, geostatistics, and planetary scientists, and graduate students studying in these fields. It will also be of interest for professionals from industry, particularly those in the mining and hydrocarbon fields.

Andrea Bistacchi is a Professor at the Università degli Studi di Milano - Bicocca, Milano, Italy. Matteo Massironi is a Professor at the Univeristà degli Studi di Padova, Padova, Italy. Sophie Viseur is a Research Engineer at the Centre Européen de Recherche et d'Enseignement des Géosciences de l'Environnement (CEREGE), Aix-Marseille Université, Marseille, France.

List of Contributors



Preface





1. Introduction: 3D Digital Geological Models: From Terrestrial Outcrops to Planetary Surfaces

Andrea Bistacchi, Matteo Massironi and Sophie Viseur



Part I: DOM and SM reconstruction and interpretation workflows



2. Digital Outcrop Model reconstruction and interpretation

Andrea Bistacchi, Silvia Mittempergher and Mattia Martinelli



3. The PRoViDE Framework: Accurate 3D geological models for virtual exploration of the Martian surface from rover and orbital imagery.

Christoph Traxler, T. Ortner, G. Hesina, R. Barnes, S. Gupta, G. Paar, J.-P. Muller,

Y. Tao and K. Willner



4. Vombat: an open source tool for creating stratigraphic logs from Virtual Outcrops

L. Penasa, M. Franceschi and N. Preto



5. Interpretation and mapping of geological features using mobile devices in outcrop geology - A case study of the Saltwick Formation, North Yorkshire, UK

Christian Kehl, James R. Mullins, Simon J. Buckley, John A. Howell and Robert L. Gawthorpe



6. Image analysis algorithms for semi-automatic lineament detection in geological outcrops

Silvia Mittempergher and Andrea Bistacchi



Part II: Morphometric analysis across different scales and planets



7. Mapping coastal erosion of a Mediterranean cliff with a boat-borne laser scanner: performance, processing and cliff erosion rate

Jérémy Giuliano, Thomas J. B. Dewez, Thomas Lebourg, Vincent Godard, Mélody Prémaillon, Nathalie Marçot



8. A DTM-based volume extraction approach: from micro-scale weathering forms to planetary lava tubes

Pozzobon, Riccardo; Mazzoli, Claudio; Salvini, Silvia; Sauro, Francesco; Massironi, Matteo; Santagata, Tommaso



9. Robust detection of circular shapes on 3D meshes based on discrete curvatures - Application to impact craters recognition

Jean-Luc Mari, Sophie Viseur, Sylvain Bouley, Martin-Pierre Schmidt, Jennifer

Muscato, Florian Beguet, Sarah Bali, Laurent Jorda



Part III: 3D modelling of the subsurface from surface data



10. Remote sensing and field data based structural 3D modelling (Haslital, Switzerland) in combination with uncertainty estimation and verification by underground data

Roland Baumberger, Marco Herwegh and Edi Kissling



11. Application of implicit 3D modeling to reconstruct the layered structure of the comet 67P

L. Penasa, M. Massironi, E. Simioni, M. Franceschi, G. Naletto, S. Ferrari, F.

Preusker, F. Scholten, L. Jorda, R. Gaskell, H. Sierks and the OSIRIS team




Index

Erscheint lt. Verlag 23.3.2022
Sprache englisch
Themenwelt Naturwissenschaften Geowissenschaften Geologie
Naturwissenschaften Geowissenschaften Geophysik
Naturwissenschaften Physik / Astronomie
Technik Elektrotechnik / Energietechnik
Schlagworte Astronomie u. Astrophysik • Astronomy & Astrophysics • earth sciences • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Fernerkundung • Geologie • Geologie u. Geophysik • Geology & Geophysics • Geowissenschaften • Physics • Physik • Remote Sensing • Strukturgeologie
ISBN-10 1-119-31391-0 / 1119313910
ISBN-13 978-1-119-31391-5 / 9781119313915
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