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  • 1
    Online Resource
    Online Resource
    Newark :John Wiley & Sons, Incorporated,
    Keywords: Three-dimensional imaging in geology. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (243 pages)
    Edition: 1st ed.
    ISBN: 9781119313915
    DDC: 550.284
    Language: English
    Note: Cover -- Title Page -- Copyright -- Contents -- List of Contributors -- Preface -- Chapter 1 Abstract -- 1.1 Introduction -- 1.2 DOM/SM Reconstruction and Interpretation Workflows -- 1.3 Morphometric Analysis Across Different Scales and Planets -- 1.4 3D Modelling of the Subsurface from Surface Data -- 1.5 Summary and Perspectives -- Acknowledgments -- References -- Part I DOM and SM Reconstruction and Interpretation Workflows -- Chapter 2 Abstract -- 2.1 Introduction -- 2.2 Photogrammetric Surveys and Processing for DOMs -- 2.2.1 Calculating Ground Resolution for Photogrammetric Surveys -- 2.2.2 Terrestrial Surveys for SFM -- 2.2.3 Drone Surveys for SFM -- 2.2.4 Image Quality and Pre‐processing -- 2.2.5 Photogrammetric Processing with SFM Software Packages -- 2.2.5.1 Graphical User Interface (GUI) -- 2.2.5.2 Usage of Georeferencing Data -- 2.2.5.3 Lens Distortion Models -- 2.2.5.4 GPU (Graphical Processing Unit) Computation -- 2.2.5.5 Control on Accuracy and Noise -- 2.3 Point‐Cloud vs. Textured‐Surface DOMs -- 2.3.1 Point‐Cloud DOMs -- 2.3.2 Textured‐Surface DOMs -- 2.4 Geological Interpretation of DOMs -- 2.4.1 Interpretation on Point‐Cloud DOMs -- 2.4.2 Interpretation on Textured‐Surface DOMs -- 2.5 Discussion and Conclusion -- 2.5.1 Data Acquisition: Platform -- 2.5.2 Data Acquisition: Laser Scanning vs. Photogrammetry -- 2.5.3 Pointcloud vs. Textured Surface DOMs -- 2.6 Summary and Perspectives -- Acknowledgments -- References -- Chapter 3 Abstract -- 3.1 Introduction -- 3.2 Components and Methods -- 3.2.1 Overview -- 3.2.2 PRoDB-A Geospatial Data Base for Planetary Data -- 3.2.3 PRoViP-A Computer Vision Processing Chain to Create 3D Reconstructions -- 3.2.3.1 Image‐Based 3D Reconstruction -- 3.2.3.2 Ordered Point Clouds (OPC) -- 3.2.4 Super‐Resolution Restoration (SRR) Processing. , 3.2.5 PRoGIS-Geographic Information System for Planetary Scientists -- 3.2.6 PRo3D-Virtual Exploration and Visual Analysis of 3D Products -- 3.2.6.1 Virtual Exploration -- 3.2.6.2 Tools for Measurements and Geological Annotations -- 3.2.6.3 Implementation Decisions and Technological Choices -- 3.2.7 Typical Workflow -- 3.3 Geological Interpretations of DOMs -- 3.3.1 Victoria Crater -- 3.3.1.1 Analysis at Cape Desire -- 3.3.1.2 Discussion -- 3.3.2 Yellowknife Bay -- 3.3.2.1 Analysis at Yellowknife Bay -- 3.3.2.2 Discussion -- 3.4 Conclusions -- Acknowledgments -- References -- Chapter 4 Abstract -- 4.1 Introduction -- 4.2 Vombat -- 4.2.1 Example of Workflow -- 4.2.2 Estimation of the Average Bedding Attitude -- 4.2.3 Stratigraphic Reference Frames -- 4.2.4 Vombat Objects and Their Stratigraphic Positions -- 4.2.5 Stratigraphic Constraints to Build Composite Reference Frames -- 4.2.6 Creation of Continuous Stratigraphic Logs -- 4.2.7 Regions of Interest -- 4.2.8 Input/Output and Log Plotting -- 4.3 Examples -- 4.3.1 Locating Samples on a TLS Intensity Log -- 4.3.2 Using Stratigraphic Constraints to Match Field Data -- 4.4 Discussion -- 4.5 Conclusions -- Acknowledgment -- References -- Chapter 5 Abstract -- 5.1 Introduction -- 5.2 The Geological Setting: The Saltwick Formation -- 5.3 From Geological Surface Interpretation to Statistical Subsurface 3D Models -- 5.3.1 Digital Geological Interpretation Mapping -- 5.3.2 The MPS Facies Modelling and Simulation for Subsurface Reservoirs -- 5.4 Mobile Interpretation Using Image‐to‐Geometry Techniques -- 5.4.1 Image Acquisition -- 5.4.2 Image‐to‐Geometry Registration -- 5.4.3 Image Interpretation -- 5.4.4 Office‐Based Quality Control -- 5.5 Model Construction -- 5.6 Multiple Point Statistics Simulation of the Saltwick Formation -- 5.7 Discussion -- Acknowledgments -- References -- Chapter 6 Abstract. , 6.1 Introduction -- 6.2 The DOMStudioImage Toolbox -- 6.3 Lineament Detection Workflow -- 6.3.1 Image Preprocessing: Conversion to Grayscale and Adaptive Histogram Equalization -- 6.3.2 Lineament Detection Algorithms -- 6.3.3 MRF‐ICM: Markov Random Field ICM Segmentation -- 6.3.4 DoG: Difference of Gaussian Filter -- 6.3.5 PhSym: Phase Symmetry Line Detection -- 6.3.6 CSPhCon: Complex Shearlet Phase Congruency Ridge Detector -- 6.3.7 Lineament Thinning and Skeletonization -- 6.4 Results on Geological Images -- 6.5 Discussion -- 6.6 Conclusions -- References -- Part II Morphometric Analysis Across Different Scales and Planets -- Chapter 7 Abstract -- 7.1 Introduction -- 7.2 Test Site and Study Setting -- 7.3 Datasets -- 7.3.1 Description of a Mobile Mapping System -- 7.3.2 Point Clouds and Registration -- 7.3.3 Orthophotography -- 7.4 Point Cloud: Quality Assessment -- 7.4.1 Validation Metrics and Procedure -- 7.4.2 Point Precision for a Single Survey (Pp) -- 7.4.3 Repeatability (R) -- 7.4.4 Threshold Distance to Detect Erosion (Td) -- 7.4.5 Inter‐point Spacing Estimation -- 7.5 LiDAR Data Processing -- 7.5.1 3D to 2.5D Projection Method -- 7.5.2 Point Clouds Comparison Method -- 7.5.3 Point Clouds Segmentation and Visibility Solution -- 7.5.3.1 Classification Method -- 7.5.3.2 Visibility Solving Method (Shadow Effects) -- 7.5.4 Threshold Volume and Erosion Estimation -- 7.6 Results -- 7.6.1 Quality Assessment -- 7.6.2 Erosion Estimation Between Epochs 1 and 3 -- 7.7 Discussion -- 7.8 Conclusion -- Acknowledgments -- Appendix. Script for Unfolding Point Clouds (R) -- References -- Chapter 8 Abstract -- 8.1 Introduction -- 8.1.1 Measuring the Recession Rates of Carbonate Rocks -- 8.1.2 Lava Tubes on Earth and Mars -- 8.2 Micro‐elevation Maps and DEMs Production -- 8.2.1 Carbonate Samples Preparation and Confocal Microscopy Scan. , 8.2.2 Stereo DEM Extraction for Mars -- 8.3 Volumes Extraction -- 8.3.1 Carbonate Rock Slabs -- 8.3.2 Mars and Earth -- 8.3.3 Validation of Volume Extraction -- 8.4 Results and Discussion -- 8.5 Conclusions -- References -- Chapter 9 Abstract -- 9.1 Introduction -- 9.2 Related Work -- 9.3 Basic Notions -- 9.3.1 Triangle Mesh -- 9.3.2 Mesh Smoothing -- 9.3.3 Curvatures over a Surface -- 9.3.4 Levels of Detail -- 9.4 Approach Based on Ring Propagation -- 9.4.1 Overview -- 9.4.2 Seeds Search -- 9.4.3 Ring Construction -- 9.4.4 Results and Validation -- 9.5 Approach Based on Circle Fitting -- 9.5.1 Description of the Approach -- 9.5.1.1 Area of Interest and Skeletonization -- 9.5.1.2 Circle Fitting -- 9.5.1.3 Circularity Criterion -- 9.5.2 Results and Validation -- 9.6 Conclusion -- Acknowledgments -- References -- Part III 3D Modelling of the Subsurface from Surface Data -- Chapter 10 Abstract -- 10.1 Introduction -- 10.2 Geological Setting -- 10.3 Methodology -- 10.3.1 Data Section -- 10.3.1.1 Definition of Terms -- 10.3.1.2 Input Data -- 10.3.2 Identification and Assessment of Uncertainties of Input Data Types -- 10.3.3 Data Interpretation: From Remote Sensing to 2D Vector Data -- 10.3.4 Data Projection onto to DEM: From 2D to 3D Data -- 10.3.5 3D Plane Construction: From 3D Intersection Lines to 3D Planes -- 10.3.5.1 3D Best‐Fit Plane from 2D Lineaments -- 10.3.5.2 Dip Calculation for Surface Points Along the Lineament -- 10.3.6 Extrapolation of Surface Data to Depth -- 10.3.7 Assessment of 3D Plane Constructions -- 10.4 Results and Discussion -- 10.4.1 Remote Sensing and 2D Lineament Data -- 10.4.1.1 Uncertainties in 2D Lineament Data -- 10.4.1.2 Discussion of Uncertainties Related to 2D Lineaments -- 10.4.2 Dip Extraction for Remote Sensing 2D Lineament Data -- 10.4.2.1 Uncertainties in Calculated Dip Values. , 10.4.2.2 Discussion of Uncertainties Related to 2D Dip Extraction -- 10.4.3 3D Extrapolation to Depth -- 10.4.3.1 Results -- 10.4.3.2 Discussion of Uncertainties Related to Depth Projection -- 10.4.4 Validation of Proposed Extrapolation Approach -- 10.4.5 Structural 3D Model and Shear Zone Map -- 10.5 Summary Discussion and Conclusions -- Acknowledgments -- Appendix A: Topography Effect -- Appendix B: Lineament Map from Remote Sensing Data Acquisition -- Appendix C : Intersection Analysis at Tunnel Level -- References -- Chapter 11 Abstract -- 11.1 Introduction -- 11.1.1 From Terraces to Geological Cross‐sections -- 11.2 A Modelling Strategy for Onion‐Like Layers -- 11.3 Model Fitting -- 11.3.1 Errors Determination -- 11.4 Visualization and Validation of the Models -- 11.5 Conclusions -- Acknowledgments -- References -- Index -- EULA.
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  • 2
    Publication Date: 2021-01-25
    Description: The mechanics and seismogenic behavior of fault zones are strongly influenced by their internal structure. In this perspective, the internal structure of the extensional seismically active Vado di Corno Fault Zone (VCFZ, Central Apennines, Italy) was quantified by combining high-resolution structural mapping with 3-D fault network analysis over ∼2 km along fault strike. The fault zone was exhumed from ∼2 km depth in carbonate rocks, accommodated 1.5–2 km of extensional throw since Early Pleistocene, and cuts through the Pliocene Omo Morto Thrust Zone (OMTZ) with partial reactivation in extension. The exceptional exposure of the footwall block allowed us to reconstruct in detail the geometry of the OMTZ and quantify the spatial arrangement of master/subsidiary faults and fault zone rocks within the extensional VCFZ. The combination of the structural map and the 3-D fault network with kinematic and topological analyses pointed out the crucial role of the older thrust geometry (i.e., lateral ramps) in controlling the along-strike segmentation and slip distribution of the VCFZ. These observations were discussed in the framework of regional extension through a slip tendency analysis and a simplified mechanical model, which suggest the activation of oblique inherited structures during the lateral propagation of the VCFZ segments. The interaction of the VCFZ with the OMTZ generated along strike and possibly downdip mechanical asperities. Considering the exhumed VCFZ as an analog for the shallow structure of other seismic sources in the Central Apennines, similar settings could play first-order control on the spatio-temporal evolution and rupture heterogeneity of earthquakes in the region
    Description: European Research Council Consolidator Grant Project (NOFEAR) 614705 MSCA-IF DAMAGE 839880
    Description: Published
    Description: e2019JB018926
    Description: 3T. Sorgente sismica
    Description: JCR Journal
    Keywords: Fault ; Earthquakes ; Carbonates ; Rock damage ; Central Apennines ; Earthquake mechanics
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 3
    Publication Date: 2020-11-26
    Description: Although geological, seismological, and geophysical evidence indicates that fracture damage and physical properties of fault‐related rocks are intimately linked, their relationships remain poorly constrained. Here we correlate quantitative observations of microfracture damage within the exhumed Gole Larghe Fault Zone (Italian Southern Alps) with ultrasonic wave velocities and permeabilities measured on samples collected along a 1.5‐km‐long transect across the fault zone. Ultrasonic velocity and permeability correlate systematically with the measured microfracture intensity. In the center of the fault zone where microfractures were pervasively sealed, P wave velocities are the highest and permeability is relatively low. However, neither the crack porosity nor the permeability derived by modeling the velocity data using an effective‐medium approach correlates well with the microstructural and permeability measurements, respectively. The applied model does not account for sealing of microfractures but assumes that all variations in elastic properties are due to microfracturing. Yet we find that sealing of microfractures affects velocities significantly in the more extensively altered samples. Based on the derived relationships between microfracture damage, elastic and hydraulic properties, and mineralization history, we (i) assess to what extent wave velocities can serve as a proxy for damage structure and (ii) use results on the present‐day physical and microstructural properties to derive information about possible postseismic recovery processes. Our estimates of velocity changes associated with sealing of microfractures quantitatively agree with seismological observations of velocity recovery following earthquakes, which suggests that the recovery is at least in part due to the sealing of microfractures.
    Description: Published
    Description: 7661-7687
    Description: 3T. Sorgente sismica
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 4
    Publication Date: 2021-12-16
    Description: Tectonic pseudotachylytes are thought to be unique to certain water-deficient seismogenic environments and their presence is considered to be rare in the geological record. Here, we present field and experimental evidence that frictional melting can occur in hydrothermal fluid-rich faults hosted in the continental crust. Pseudotachylytes were found in the 〉40 km-long Bolfín Fault Zone of the Atacama Fault System, within two ca. 1 m-thick (ultra)cataclastic strands hosted in a damage-zone made of chlorite-epidote-rich hydrothermally altered tonalite. This alteration state indicates that hydrothermal fluids were active during the fault development. Pseudotachylytes, characterized by presenting amygdales, cut and are cut by chlorite-, epidote- and calcite-bearing veins. In turn, crosscutting relationship with the hydrothermal veins indicates pseudotachylytes were formed during this period of fluid activity. Rotary shear experiments conducted on bare surfaces of hydrothermally altered rocks at seismic slip velocities (3 m s-1) resulted in the production of vesiculated pseudotachylytes both at dry and water-pressurized conditions, with melt lubrication as the primary mechanism for fault dynamic weakening. The presented evidence challenges the common hypothesis that pseudotachylytes are limited to fluid-deficient environments, and gives insights into the ancient seismic activity of the system. Both field observations and experimental evidence, indicate that pseudotachylytes may easily be produced in hydrothermal environments, and could be a common co-seismic fault product. Consequently, melt lubrication could be considered one of the most efficient seismic dynamic weakening mechanisms in crystalline basement rocks of the continental crust.
    Description: The authors would like to acknowledge the support of ERC CoG No 614705 NOFEAR. R. Gomila has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska- Curie grant agreement No 896346 – FRICTION.
    Description: Published
    Description: e2021GC009743
    Description: 3T. Fisica dei terremoti e Sorgente Sismica
    Description: JCR Journal
    Keywords: Atacama fault system; fluid‐rich faults; frictional melting; tectonic pseudotachylytes; vesiculation
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 5
    Publication Date: 2021-11-26
    Description: In the area of Arcadia Planitia in the Northern hemisphere of Mars, mounds indicating fluid and sediment emissions have been already recognized. Here, we show that through fractal and fracture-spacing analyses of a large vent population it is possible to infer the mechanical layering of the underlying subsurface. Our work includes the mapping of an entire population of 9,028 vents over an area of 122,000km2. The analysis of mound distribution at the surface led to the formulation of inferences about the subsurface feeding conduits, and to the identification of three mechanical discontinuities at c. 4–5, c. 14–23, and c. 50–55km. This evidence matches the mechanical stratigraphy recorded by the InSight NASA mission, and is in agreement with independent previous subsurface global modeling, supporting our conclusions.
    Description: Published
    Description: e2021JE007007
    Description: 1T. Struttura della Terra
    Description: JCR Journal
    Keywords: Mud Volcanoes, Mechanical Layering, Mars
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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