Semi-automated delineation of positive and negative relief seabed morphologies : from fluid-flow-induced features to coralligenous formations in Flensburg Bay (Germany-Denmark) and Cyprus shelf
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Date
2025-02-25
Authors
Γιαννακόπουλος, Βασίλειος
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Abstract
A precise determination of seafloor geomorphological features proves essential for understanding geological procedures and marine habitat dynamics. This research demonstrates a methodology to semi-automate the identification and classification of positive and negative seafloor features, based on high-resolution bathymetric information. The methodology was implemented to analyze distinct study locations which included pockmarks and mound-like features in Flensburg Bay (Germany-Denmark) as well as the analysis of coralligenous formations on the Cyprus shelf. It integrates BPI-derived surfaces with mathematical filtering, vertical cutoffs, and morphometric parameter analysis to systematically extract relevant features. The CoMMa toolbox in ArcGIS Pro facilitated this process by automating the integration of key geomorphometric parameters, improving the precision of feature delineation and enabling a more detailed spatial analysis. Coralligenous formations were best identified through a combination of slope, roughness, and confidence scores. Pockmarks were effectively distinguished using the Polsby-Popper Score and local depth gradient variability, while mound-like features required local depth gradient variance and depth range thresholds to enhance classification. The results highlight the effectiveness of semi-automated mapping in reducing manual effort while maintaining classification accuracy. However, the reliance on predefined threshold values necessitates expert validation and further refinement. These predefined threshold values require confirmation and additional development work from experts. This study aims to contribute to marine geology and habitat conservation by improving seafloor feature delineation and advancing methodologies for geomorphological classification. The approach developed in this research demonstrates its versatility across different marine environments, supporting future applications in marine spatial planning, seafloor stability assessments, and habitat conservation initiatives.
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Keywords
Semi-automated mapping, Pockmarks, Coralligenous formations, Geomorphometric analysis, Μultibeam bathymetry