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020			_a9781119313885
020			_a9781119313922 _q(electronic bk.)
020			_a1119313929 _q(electronic bk.)
020			_z9781119313885
020			_z1119313880
035			_a(OCoLC)1311281464
040			_aDG1 _beng _erda _epn _cDG1 _dOCLCO _dOCLCQ
041			_aeng
050		4	_aQE26.3 _b.T15 2022eb
082	0	4	_a550.28/4 _223
245	0	0	_a3D digital geological models : _bfrom terrestrial outcrops to planetary surfaces / _cedited by Andrea Bistacchi, Matteo Massironi, Sophie Viseur.
264		1	_aHoboken, NJ : _bWiley, _c2022.
300			_a1 online resource.
336			_atext _btxt _2rdacontent.
337			_acomputer _bc _2rdamedia.
338			_aonline resource _bcr _2rdacarrier.
340			_2rdacc _0http://rdaregistry.info/termList/RDAColourContent/1003.
504			_aIncludes bibliographical references and index.
505	0		_aTable of Contents List of Contributors xi Preface xvii 1 3D Digital Geological Models: From Terrestrial Outcrops to Planetary Surfaces 1 Andrea Bistacchi, Matteo Massironi, and Sophie Viseur 1.1 Introduction 1 1.2 DOM/SM Reconstruction and Interpretation Workflows 2 1.3 Morphometric Analysis Across Different Scales and Planets 4 1.4 3D Modelling of the Subsurface from Surface Data 5 1.5 Summary and Perspectives 6 Part I DOM and SM Reconstruction and Interpretation Workflows 11 2 Digital Outcrop Model Reconstruction and Interpretation 13 Andrea Bistacchi, Silvia Mittempergher, and Mattia Martinelli 2.1 Introduction 13 2.2 Photogrammetric Surveys and Processing for DOMs 14 2.3 Point-Cloud vs. Textured-Surface DOMs 21 2.4 Geological Interpretation of DOMs 23 2.5 Discussion and Conclusion 26 2.6 Summary and Perspectives 28 3 The PRoViDE Framework: Accurate 3D Geological Models for Virtual Exploration of the Martian Surface from Rover and Orbital Imagery 33 Christoph Traxler, Thomas Ortner, Gerd Hesina, Robert Barnes, Sanjeev Gupta, Gerhard Paar, Jan-Peter Muller, Yu Tao, and Konrad Willner 3.1 Introduction 33 3.2 Components and Methods 34 3.3 Geological Interpretations of DOMs 48 3.4 Conclusions 52 4 Vombat: An Open Source Tool for Creating Stratigraphic Logs from Virtual Outcrops 57 L. Penasa, M. Franceschi, and N. Preto 4.1 Introduction 57 4.2 Vombat 58 4.3 Examples 64 4.4 Discussion 66 4.5 Conclusions 67 5 Interpretation and Mapping of Geological Features Using Mobile Devices in Outcrop Geology: A Case Study of the Saltwick Formation, North Yorkshire, UK 71 Christian Kehl, James R. Mullins, Simon J. Buckley, John A. Howell, and Robert L. Gawthorpe 5.1 Introduction 71 5.2 The Geological Setting: The Saltwick Formation 72 5.3 From Geological Surface Interpretation to Statistical Subsurface 3D Models 74 5.4 Mobile Interpretation Using Image-to-Geometry Techniques 76 5.5 Model Construction 82 5.6 Multiple Point Statistics Simulation of the Saltwick Formation 86 5.7 Discussion 87 6 Image Analysis Algorithms for Semiautomatic Lineament Detection in Geological Outcrops 93 Silvia Mittempergher and Andrea Bistacchi 6.1 Introduction 93 6.2 The DOMStudioImage Toolbox 94 6.3 Lineament Detection Workflow 94 6.4 Results on Geological Images 102 6.5 Discussion 103 6.6 Conclusions 105 Part II Morphometric Analysis Across Different Scales and Planets 109 7 Mapping Coastal Erosion of a Mediterranean Cliff with a Boat-Borne Laser Scanner: Performance, Processing, and Cliff Erosion Rate 111 Jérémy Giuliano, Thomas J. B. Dewez, Thomas Lebourg, Vincent Godard, Mélody Prémaillon, and Nathalie Marçot 7.1 Introduction 111 7.2 Test Site and Study Setting 112 7.3 Datasets 113 7.4 Point Cloud: Quality Assessment 115 7.5 LiDAR Data Processing 117 7.6 Results 121 7.7 Discussion 123 7.8 Conclusion 125 8 A DEM-Based Volume Extraction Approach: From Micro-Scale Weathering Forms to Planetary Lava Tubes 133 Riccardo Pozzobon, Claudio Mazzoli, Silvia Salvini, Francesco Sauro, Matteo Massironi, and Tommaso Santagata 8.1 Introduction 133 8.2 Micro-elevation Maps and DEMs Production 135 8.3 Volumes Extraction 136 8.4 Results and Discussion 141 8.5 Conclusions 143 9 Robust Detection of Circular Shapes on 3D Meshes Based on Discrete Curvatures: Application to Impact Craters Recognition 149 Jean-Luc Mari, Sophie Viseur, Sylvain Bouley, Martin-Pierre Schmidt, Jennifer Muscato, Florian Beguet, Sarah Bali, and Laurent Jorda 9.1 Introduction 149 9.2 Related Work 150 9.3 Basic Notions 150 9.4 Approach Based on Ring Propagation 152 9.5 Approach Based on Circle Fitting 155 9.6 Conclusion 156 Part III 3D Modelling of the Subsurface from Surface Data 159 10 Remote Sensing and Field Data Based Structural 3D Modelling (Haslital, Switzerland) in Combination with Uncertainty Estimation and Verification by Underground Data 161 Roland Baumberger, Marco Herwegh, and Edi Kissling 10.1 Introduction 161 10.2 Geological Setting 164 10.3 Methodology 165 10.4 Results and Discussion 176 10.5 Summary Discussion and Conclusions 187 11 Application of Implicit 3D Modelling to Reconstruct the Layered Structure of the Comet 67P 199 Luca Penasa, Matteo Massironi, Emanuele Simioni, Marco Franceschi, Giampiero Naletto, Sabrina Ferrari, Ivano Bertini, Pamela Cambianica, Elisa Frattin, Fiorangela La Forgia, Alice Lucchetti, Maurizio Pajola, Frank Preusker, Frank Scholten, Laurent Jorda, Robert Gaskell, and Holger Sierks 11.1 Introduction 199 11.2 A Modelling Strategy for Onion-Like Layers 201 11.3 Model Fitting 204 11.4 Visualization and Validation of the Models 208 11.5 Conclusions 211 Acknowledgments 211 References 212 Index 215
520			_a"The 3D characterization and modelling of geological and geomorphological structures on the Earth, terrestrial planets, satellites and minor bodies in the Solar System poses common problems to different science communities. 3D Digital Geological Models covers two important aspects: (i) remote sensing techniques (e.g. photogrammetry, photoclinometry, LIDAR, laser altimetry) allowing the quantitative characterization of outcrops and geomorphological features, and (ii) innovative 3D interpretation and modelling strategies allowing to obtain new or (more) quantitative results on terrestrial and extra-terrestrial structures. 3D Digital Geological Models is a collection of the most relevant contributions in a volume that will be of interest for the community that is actively working on these topics, but also for a wider community of potential users of the techniques that the editors of this volume are developing. In particular, contributions from students and researchers focusing on more quantitative characterization workflow in their projects will be very interesting. Case studies will include small- to large-scale project on the Earth (e.g. fracturing in carbonate rocks, folding and thrusting in sedimentary sequences, sedimentology, fluid/rock interaction, ductile shear zones, mining projects, applications to hydrocarbon studies, etc.), on terrestrial planets (e.g. magmatism, tectonics, and craters on Mars), and on minor bodies in the Solar System. In the latter category, interesting contributions on the 67P/Churyumov Gerasimenko Comet, recently surveyed by the Rosetta Mission (some of the editors have recently published on Nature their results on the comet) will be discussed."-- _cProvided by publisher.
545	0		_aAbout the Author 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.
650		0	_aThree-dimensional imaging in geology. _0http://id.loc.gov/authorities/subjects/sh2009007388.
655		4	_aElectronic books.
700	1		_aBistacchi, Andrea, _0http://id.loc.gov/authorities/names/no2021125882 _eeditor.
700	1		_aMassironi, M. _q(Matteo), _0http://id.loc.gov/authorities/names/nb2015001868 _eeditor.
700	1		_aViseur, Sophie, _0http://id.loc.gov/authorities/names/no2021125884 _eeditor.
856			_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119313922 _yFull text is available at Wiley Online Library Click here to view
942			_2ddc _cER