TL;DR: The Antarctic Mapping Tools package is designed for ease of use and allows users to perform each step of data processing including raw data import, data analysis, and creation of publication-quality maps, wholly within the numerical environment of Matlab.

TL;DR: This work uses Convolutional Neural Networks (ConvNets) to detect both volcanic rootless cones and transverse aeolian ridges on the surface of Mars and shows that ConvNets can detect a wide range of landforms and has better accuracy and recall in testing data than traditional classifiers based on SVMs.

TL;DR: This paper introduces an open source comprehensive software package for stochastic modeling of fracture networks in two- and three-dimension in discrete formulation and significant efforts have been made to bring maximum flexibility to the functions in order to solve problems in both three-dimensions in an easy and united way.

TL;DR: An object-oriented approach for defining and organizing each of the necessary elements in an electromagnetic simulation, including: the physical properties, sources, formulation of the discrete problem to be solved, the resulting fields and fluxes, and receivers used to sample to the electromagnetic responses are taken.

TL;DR: The results demonstrate that the proposed method for extracting blocks and calculating block size automatically from rock surface 3D point clouds is accurate and overcomes the inaccuracies, safety hazards, and biases of traditional techniques.

TL;DR: The implementation of a wave-flow-vegetation module into a Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) modeling system that includes a flow model and a wave model is described, and various interacting processes using an idealized shallow basin application are illustrated.

TL;DR: An intelligent system for mineral identification in thin sections based on RGB and HSI color spaces and texture features in plane and cross polarized light is proposed and a real time and reliable segmentation and identification map is created.

TL;DR: The conversion formulas between inter-element parameters and rock mechanical properties were derived and, based on the methods, a Matlab code MatDEM was developed to validate the model.

TL;DR: In this paper, the authors presented two ArcGIS add-ins to automatically delineate swath and normalized river profiles, which are programmed in Visual Basic. NET and use ArcObjects library-architecture to access directly to vector and raster data.

TL;DR: The use of several regression algorithms combined with ensemble learning is explored in the context of big data in order to predict earthquakes magnitude within the next seven days, reporting very promising results.

TL;DR: The experimental results have proved both effectiveness and validity of Festra, which provides competitive prediction performance on all the four regions, with few target instances labeled suitable for the field use.

TL;DR: This work illustrates the use of a private cloud object store developed by the Center for High Performance Computing (CHPC) at the University of Utah, proving to be a scalable, reliable, extensible, affordable, and usable archive solution for research.

TL;DR: The new R package CoinCalc is presented for performing event coincidence analysis (ECA), a novel statistical method to quantify the simultaneity of events contained in two series of observations, either as simultaneous or lagged coincidences within a user-specific temporal tolerance window.

TL;DR: A region-growing-based method for automatic outcrop fracture extraction using criteria based on the local surface normal and curvature of the point cloud is proposed, which identified and extracted the full extent of individual fractures with high accuracy.

TL;DR: An edge-based finite element method for 3D CSEM modeling which is effective in modeling complex geometry such as bathymetry and capable of dealing with anisotropic conductivity is developed.

TL;DR: The proposed models are proposed to first calibrate the proposed models using the available 3D information on the rock microstructure and then predict the permeability for rocks from the same geological formation for which only 2D thin sections are available.

TL;DR: Numerical results show that mineralogical heterogeneity can cause significant errors in permeability prediction, if a uniform mineral distribution is assumed, and errors are smaller in high Pclet regimes than in low P clet regimes in this sample.

TL;DR: A methodology based on state-of-the-art tools resulting in large-scale surface-flow characterization according to the first operational version of the RIVeR (Rectification of Image Velocity Results).

TL;DR: TOUGH3—a new base version of TOUGH—addresses the increasing complexity of the simulated processes as well as the growing size of model domains that need to be handled and incorporates many new features, addresses bugs, and improves the flexibility of data handling.

TL;DR: It is shown that out-of-bag cross-validation clearly overestimates accuracy, both overall and per class when classifying remote sensing imagery using training areas with several pixels or objects, and a modification of the random forest algorithm to split training patches instead of the pixels (or objects) that compose them is proposed.

TL;DR: A brief overview of over 15 TOUGH-based geomechanics models, focusing on some of the most frequently applied to a diverse set of problems associated with geomechamics and its couplings to hydraulic, thermal and chemical processes are provided.

TL;DR: To provide researchers with tools for a reliable estimation of wind wave parameters, the Ocean Wave Analyzing toolbox, OCEANLYZ, is introduced and contains a number of MATLAB functions for estimation of the wave properties in time and frequency domains.

TL;DR: WASS implements a fast 3D dense stereo reconstruction procedure based on the consolidated OpenCV library and includes set of filtering techniques both on the disparity map and the produced point cloud to remove the vast majority of erroneous points that can naturally arise while analyzing the optically complex nature of the water surface.

TL;DR: A generic and systematic approach, based on FS methods, for choosing a concise and relevant set of features to improve the oil spill detection systems and discarded irrelevant features and improved the classifier accuracy.

TL;DR: A method that is based on a 3D point cloud is proposed to semi-automatically extract rock mass structural plane information and can provide a reference for rock mechanics, 3D geological modelling and other related fields.

TL;DR: Structural modifications to the maximal ball algorithm are described, while the basic concepts are preserved, to improve accuracy and efficiency and to improve algorithmic speed and memory efficiency.

TL;DR: This work proposes a vector potential-field solution from a machine learning perspective, recasting the problem as multi-class classification, which alleviates some of the original method's assumptions.

TL;DR: An EMD-AIC picker has been proposed to identify micro-seismic P phase arrival and works efficiently for the majority of identifications and has a better picking accuracy than the DWT-A IC pickings.

TL;DR: The proposed singularity-quantile (S-Q) analysis method was very sensitive to the changes of singularity indices with three segments when it was applied to characterize geochemical element enrichment processes and can be considered as an efficient and powerful tool for separating hybrid geochemical anomalies on the basis of statistical and inherent fractal/multifractal properties.