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affected by several factors. As a result, the decision made based on these images could be affected depending on the quality of the images. For this reason, the aim of this project is to propose a
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factors, including geographic location, hydrodynamic conditions, and water depth. This PhD will build upon numerical modelling studies to employ physical modelling experiments in state-of-the-art facilities
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. To research and develop workflows for AI-assisted 3D reconstruction, texture mapping, other low-cost modelling techniques and interactive environmental data visualisation. To work with communities, local
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erosion, and the effects of climate change. Yet their visual and narrative cultures remain powerful expressions of resilience, belonging, and adaptation. This practice-based PhD explores how creative