EGU21-13105
https://doi.org/10.5194/egusphere-egu21-13105
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Enhancing subtle seafloor relief variation: relief visualisation techniques for bathymetric data 

Ana Novak1,2, Sašo Poglajen3, and Marko Vrabec2
Ana Novak et al.
  • 1Geological Survey of Slovenia, Ljubljana, Slovenia (ana.novak@geo-zs.si)
  • 2University of Ljubljana, Faculty of Natural Sciences and Engineering, Department of Geology, Ljubljana, Slovenia
  • 3Sirio d.o.o., Koper, Slovenia

Bathymetric data is commonly visualized as a simple shaded relief, where features oriented parallel to the light source are prone to false topographic perception or are even obscured to the viewer. On the other hand, many relief visualisation techniques developed in past decades are extensively used in visualisation and analysis of high-resolution digital elevation models, especially in geomorphological and archaeological studies. We tested and assessed the suitability of relief visualisation techniques provided by the Relief Visualisation Toolbox (RVT) software for representation of bathymetric data. We used a multibeam-sonar derived bathymetric model with a 10 x 10 m cell size from the Gulf of Trieste (northern Adriatic) characterised by a shallow low-relief seabed. Our results clearly demonstrate the effectiveness of relief visualisation techniques for exposing subtle relief variation in bathymetric data. We find that small-scale features (outcrops, wrecks, pockmarks, reefs, etc.) and negative linear features are best highlighted by “visualization for archaeological topography” (VAT) and “openness” techniques. High-relief features and topographic infection points are pronounced by “hillshade from multiple directions” and “sky-view factor” (SVF). Finally, “principal components analysis” (PCA), “prismatic openness”, “simple local relief model”, “anisotropic SVF” and “local dominance” algorithms show best results when we want to highlight both high- and low-relief features in one image. The tested techniques are far superior to a simple hillshade visualisation especially when imaging low-gradient relief (common on continental shelves and abyssal plains) where topographic details are often not adequately pronounced by hillshading. To our knowledge, this study represents the first attempt to test and compare several relief visualisation techniques for bathymetric data.  

How to cite: Novak, A., Poglajen, S., and Vrabec, M.: Enhancing subtle seafloor relief variation: relief visualisation techniques for bathymetric data , EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-13105, https://doi.org/10.5194/egusphere-egu21-13105, 2021.

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