Theses and Dissertations

Advisor

Skarke, Adam

Committee Member

Meng, Qingmin

Committee Member

Lalk, Sarah

Date of Degree

5-15-2026

Original embargo terms

Immediate Worldwide Access

Document Type

Graduate Thesis - Open Access

Major

Geoscience

Degree Name

Master of Science (M.S.)

College

College of Arts and Sciences

Department

Department of Geosciences

Abstract

High-resolution digital elevation models (DEMs) are widely available for terrestrial planetary bodies, but subsurface structural data remain limited. This research evaluated whether surface geomorphology could predict subsurface features, specifically faults and methane seeps, along the US Atlantic continental margin as an analog site. Faults were mapped with seismic interpretation and compared with quantitative geomorphic classifications derived from 100-m bathymetry including slope, aspect, rugosity, bathymetric position index, and geomorphon classes. Maximum-entropy modelling was used to predict fault occurrences from surface data. Results indicated that specific geomorphic landforms and slopes had the strongest control on fault presence, reflected in topographic expression of fault traces. Incorporating mapped faults into methane seep prediction improved model performance, furthering the idea of fault planes acting as permeable pathways for subsurface methane migration. The model was applied to Mars and displayed spatial coherence, supporting the use of geomorphic variables for predicting structural features in terrestrial planetary settings.

Sponsorship (Optional)

Mississippi Space Grant Consortium (MSSGC)

Included in

Geology Commons

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