Preprints

Filtering by Subject: Geomorphology

Towards automatic delineation of landslide source and runout

Kushanav Bhuyan, Kamal Rana, Ugur Ozturk, et al.

Published: 2024-07-26
Subjects: Earth Sciences, Environmental Sciences, Geomorphology, Mathematics

Mapping landslide-depleted source areas is pivotal for refining predictive models and volume estimations, yet these critical regions are often conflated with the landslide runouts, leading to sub-optimal assessments. The source areas are typically the regions where the actual failure occurs, providing crucial information on the initiation mechanisms and the nature of landslide propagation. [...]

geodl: An R package for geospatial deep learning semantic segmentation using torch and terra

Aaron E Maxwell, Sarah Farhadpour, Srinjoy Das

Published: 2024-07-18
Subjects: Geology, Geomorphology, Numerical Analysis and Scientific Computing, Programming Languages and Compilers

Convolutional neural network (CNN)-based deep learning (DL) methods have transformed the analysis of geospatial, Earth observation, and geophysical data due to their ability to model spatial context information at multiple scales. Such methods are especially applicable to pixel-level classification, or semantic segmentation, tasks. A variety of R packages have been developed for processing and [...]

Quantifying relationships between fault parameters and rupture characteristics associated with thrust and reverse fault earthquakes.

Kristen Chiama, William Bednarz, Robb Moss, et al.

Published: 2024-07-12
Subjects: Geology, Geomorphology, Geophysics and Seismology, Geotechnical Engineering, Risk Analysis, Tectonics and Structure

We investigate the influence of earthquake source characteristics and geological site parameters on fault scarp morphologies for thrust and reverse fault earthquakes using geomechanical models. We performed a total of 3,434 distinct element method (DEM) model experiments to evaluate the impact of the sediment depth, density, homogeneous and heterogeneous sediment strengths, fault dip, and the [...]

Building quantitative skills with a simplified physical model of coastal storm deposition

Eli Lazarus

Published: 2024-07-04
Subjects: Earth Sciences, Educational Methods, Geomorphology, Higher Education, Scholarship of Teaching and Learning

This article describes an exercise for a physical laboratory experiment designed to enable physical geography students to practice transferrable quantitative skills through inquiry-based learning. The exercise is a deliberately simplified physical model of storm-driven coastal overwash typical of low-lying coastal barrier systems. The experiment can be trialled in anything from a baking pan or [...]

Automatic identification of streamlined subglacial bedforms using machine learning: an open-source Python approach

Ellianna Abrahams, Marion A. McKenzie, Fernando Pérez, et al.

Published: 2024-06-16
Subjects: Geomorphology, Glaciology, Statistical Models

Subglacial processes exert a major control on ice streaming. Constraining subglacial conditions thus allows for more accurate predictions of ice mass loss. Due to the difficulty in observing large‐scale conditions of the modern subglacial environment, we turn to geologic records of ice streaming in deglaciated environments. Morphometric values of streamlined subglacial bedforms provide valuable [...]

Permafrost thaw subsidence, sea-level rise, and erosion are transforming Alaska’s Arctic coastal zone

Roger Cameron Creel, Julia Guimond, Benjamin Jones, et al.

Published: 2024-05-11
Subjects: Earth Sciences, Geomorphology, Other Earth Sciences, Physical Sciences and Mathematics

Climate warming is causing rapid coastal change in the Arctic. Permafrost thaw subsidence, sea-level rise, and erosion each threaten the Arctic nearshore. These agents of change have received unequal attention and their compound impact remains poorly understood. Alaska's Arctic Coastal Plain (ACP) is ideal for addressing this knowledge gap due to the region’s relatively abundant observational [...]

How do ancient mass-transport complexes influence subsequent failure events? A case study from the Kangaroo Syncline, offshore NW Australia

Nan Wu, Christopher Aiden-Lee Jackson, David Hodgson, et al.

Published: 2024-05-03
Subjects: Geology, Geomorphology, Sedimentology

Mass-transport complexes (MTCs) are common features in all continental margins. In some passive margins, accumulations of stacked MTCs indicate repeated slope failure, which raises the question of whether MTC emplacement may influence or even pre-condition, subsequent slope failures. Here, we use 3D seismic reflection data from the Kangaroo Syncline, NW Australia, to investigate how pre-existing [...]

The potential of terrestrial and aquatic molluscs for the temporal analysis of Deckenschotter deposits and younger Quaternary sediments from the Swiss Plateau

Nigel Thew

Published: 2024-05-02
Subjects: Earth Sciences, Geology, Geomorphology, Paleobiology, Paleontology, Physical Sciences and Mathematics, Sedimentology, Soil Science, Stratigraphy, Terrestrial and Aquatic Ecology

Can multi-scale thermal infrared imaging help validate and monitor water stress in alluvial forests?

Julien Godfroy, Pauline Malherbe, Flavie Gerle, et al.

Published: 2024-04-13
Subjects: Geomorphology, Physical and Environmental Geography, Remote Sensing, Terrestrial and Aquatic Ecology

Alluvial forests are fragile and sensitive to drought induced by climate change and exacerbated by altered flow regimes. Our ability to detect and map their sensitivity to drought is therefore crucial to evaluate the effects of climate change and adjust management practices. In such a context, we explore the potential of multi-scale thermal infrared imagery (TIR) to diagnose the sensitivity of [...]

Sentinel-1 SAR-based Globally Distributed Landslide Detection by Deep Neural Networks

Lorenzo Nava, Alessandro Cesare Mondini, Kushanav Bhuyan, et al.

Published: 2024-04-05
Subjects: Artificial Intelligence and Robotics, Geomorphology

Efficient response to large and widespread multiple landslide events (MLEs) demands rapid and effective landslide detection. Despite extensive efforts using optical remotely sensed imagery, limitations in global, day & night, and all-weather operational capabilities remain. To address these gaps, we introduce an approach that harnesses Deep Neural Networks (DNNs) and Synthetic Aperture Radar [...]

An ensemble neural network approach for space-time landslide predictive modelling

Jana Lim, Giorgio Santinelli, Ashok Dahal, et al.

Published: 2024-02-27
Subjects: Artificial Intelligence and Robotics, Geomorphology, Multivariate Analysis

There is an urgent need for accurate and effective Landslide Early Warning Systems (LEWS). Most LEWS are currently based on a single temporally-aggregated measure of rainfall derived from either in-situ measurements or satellite-based rainfall estimates. Relying on a summary metric of precipitation may not capture the complexity of the rainfall signal and its dynamics in space and time in [...]

Towards an Open and Integrated Cyberinfrastructure for River Morphology Research in the Big Data Era

Venkatesh Merwade, Ibrahim Demir, Marian Muste, et al.

Published: 2024-02-16
Subjects: Computer and Systems Architecture, Computer Engineering, Computer Sciences, Databases and Information Systems, Engineering, Environmental Education, Environmental Engineering, Geomorphology, Hydrology, Systems and Communications, Water Resource Management

The objective of this paper is to present the initial illustration of a cyberinfrastructure named the River MORPhology Information System (RIMORPHIS) that addresses the current limitations related to river morphology data and tools. A new specification for data and semantics on river morphology datasets has been developed to support the web-based platform for discovering and visualization of [...]

Bayesian reconstruction of sea-level and hydroclimates from coastal landform inversion

Gino de Gelder, Navid Hedjazian, Laurent Husson, et al.

Published: 2024-02-10
Subjects: Earth Sciences, Geology, Geomorphology, Tectonics and Structure

Quantifying Quaternary sea-level changes and hydroclimatic conditions is an important challenge given their intricate relation with paleo-climate, ice-sheets and geodynamics. The world’s coastlines provide an enormous geomorphologic archive, from which forward landscape evolution modelling studies have shown their potential to unravel paleo sea-levels, albeit at the cost of assumptions to [...]

WITHDRAWN: The potential of terrestrial and aquatic molluscs for the temporal analysis of Deckenschotter deposits and younger Quaternary sediments from the Swiss Plateau

Nigel Thew

Published: 2024-02-08
Subjects: Earth Sciences, Geology, Geomorphology, Paleobiology, Paleontology, Sedimentology, Stratigraphy

An updated landslide susceptibility model and a log-Gaussian Cox process extension for Scotland

Erin Kelly Bryce, Daniela Castro-Camilo, Claire Dashwood, et al.

Published: 2024-02-01
Subjects: Applied Statistics, Geomorphology

At the time of its development, GeoSure was created using expert knowledge based on a thorough understanding of the engineering geology of the rocks and soils of Great Britian. The ability to use a data-driven methodology to develop a national scale landslide susceptibility was not possible due to the relatively small size of the landslide inventory at the time. In the intervening 20 years the [...]

search

You can search by:

  • Title
  • Keywords
  • Author Name
  • Author Affiliation