Elevation Models for Geoscience

Elevation Models for Geoscience
Author: Cory Fleming
Publisher: Geological Society of London
Total Pages: 158
Release: 2010
Genre: Altitudes
ISBN: 9781862393134

Elevation data are a critical element in most geoscience applications. From geological mapping to modelling Earth systems and processes geologists need to understand the shape of the Earth's surface. Vast amounts of digital elevation data exist, from large-scale global to smaller scale regional datasets, and many datasets have been merged to improve scale and accuracy. For each application, decisions are made on which elevation data to use driven by cost, resolution and accuracy. This publication shows the current status of available digital elevation data and illustrates the key applications. The types of data assessed include: ASTER stereo satellite imagery, Shuttle Radar Topographic Mapping data, airborne laser and radar such as NEXTMap, and Multibeam Bathymetry. Applications covered include: glacial deposits, landslides, coastal erosion and other geological hazards. Technical issues discussed include: accuracy analysis, derived product creation, software comparisons and copyright considerations. This volume is a comprehensive look at elevation models for geoscience.

Surface Models for Geosciences

Surface Models for Geosciences
Author: Kateřina Růžičková
Publisher: Springer
Total Pages: 316
Release: 2015-05-27
Genre: Science
ISBN: 3319184075

The aim of the conference is to present and discuss new methods, issues and challenges encountered in all parts of the complex process of gradual development and application of digital surface models. This process covers data capture, data generation, storage, model creation, validation, manipulation, utilization and visualization. Each stage requires suitable methods and involves issues that may substantially decrease the value of the model. Furthermore, the conference provides a platform to discuss the requirements, features and research approaches for 3D modeling, continuous field modeling and other geoscience applications. The conference covers the following topics: - LIDAR for elevation data - Radar interferometry for elevation data - Surface model creation - Surface model statistics - Surface model storage (including data formats, standardization, database) - Feature extraction - Analysis of surface models - Surface models for hydrology, meteorology, climatology - Surface models for signal spreading - Surface models for geology (structural, mining) - Surface models for environmental science - Surface models for visibility studies - Surface models for urban geography - Surface models for human geography - Uncertainty of surface models and digital terrain analysis - Surface model visual enhancement and rendering

MATLAB® Recipes for Earth Sciences

MATLAB® Recipes for Earth Sciences
Author: Martin H. Trauth
Publisher: Springer Science & Business Media
Total Pages: 294
Release: 2007
Genre: Computers
ISBN: 3540727485

Introduces methods of data analysis in geosciences using MATLAB such as basic statistics for univariate, bivariate and multivariate datasets, jackknife and bootstrap resampling schemes, processing of digital elevation models, gridding and contouring, geostatistics and kriging, processing and georeferencing of satellite images, digitizing from the screen, linear and nonlinear time-series analysis and the application of linear time-invariant and adaptive filters. Includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences.

3D Digital Geological Models

3D Digital Geological Models
Author: Andrea Bistacchi
Publisher: John Wiley & Sons
Total Pages: 243
Release: 2022-03-29
Genre: Science
ISBN: 1119313899

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.

Signal and Noise in Geosciences

Signal and Noise in Geosciences
Author: Martin H. Trauth
Publisher: Springer Nature
Total Pages: 349
Release: 2021-11-06
Genre: Science
ISBN: 3030749134

This textbook introduces methods of geoscientific data acquisition using MATLAB in combination with inexpensive data acquisition hardware such as sensors in smartphones, sensors that come with the LEGO MINDSTORMS set, webcams with stereo microphones, and affordable spectral and thermal cameras. The text includes 35 exercises in data acquisition, such as using a smartphone to acquire stereo images of rock specimens from which to calculate point clouds, using visible and near-infrared spectral cameras to classify the minerals in rocks, using thermal cameras to differentiate between different types of surface such as between soil and vegetation, localizing a sound source using travel time differences between pairs of microphones to localize a sound source, quantifying the total harmonic distortion and signal-to-noise ratio of acoustic and elastic signals, acquiring and streaming meteorological data using application programming interfaces, wireless networks, and internet of things platforms, determining the spatial resolution of ultrasonic and optical sensors, and detecting magnetic anomalies using a smartphone magnetometer mounted on a LEGO MINDSTORMS scanner. The book’s electronic supplementary material (available online through Springer Link) contains recipes that include all the MATLAB commands featured in the book, the example data, the LEGO construction plans, photos and videos of the measurement procedures.